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Liv Boeree: Poker, Game Theory, AI, Simulation, Aliens & Existential Risk | Lex Fridman Podcast #314 — Transcript

by Lex Fridman · 39,860 words · 6,594 segments · language en · Watch on YouTube

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  1. 0:00evolutionarily we you know if we see a
  2. 0:02lion running at us we didn't have time
  3. 0:03to sort of calculate the lion's kinetic
  4. 0:05energy and you know is it optimal to go
  5. 0:08this way or that way you just reacted
  6. 0:10and
  7. 0:11physically our bodies are well attuned
  8. 0:13to actually make right decisions but
  9. 0:14when you're playing a game like poker
  10. 0:16this is not something that you ever you
  11. 0:17know evolved to do and yet you're in
  12. 0:20that same flight or fight response um
  13. 0:22and so that's a really important skill
  14. 0:24to be able to develop to basically learn
  15. 0:25how to like
  16. 0:27meditate in the moment and calm yourself
  17. 0:28so that you can think clearly
  18. 0:32the following is a conversation with liv
  19. 0:34marie
  20. 0:35formerly one of the best poker players
  21. 0:37in the world trained as an
  22. 0:39astrophysicist and is now a
  23. 0:41philanthropist and an educator on topics
  24. 0:44of game theory physics complexity and
  25. 0:47life
  26. 0:49this is the lex friedman podcast to
  27. 0:51support it please check out our sponsors
  28. 0:53in the description and now dear friends
  29. 0:55here's liv
  30. 0:57bree
  31. 0:58what role do you think luck plays in
  32. 1:00poker and in life you can pick whichever
  33. 1:03one you want poker or life and or life
  34. 1:06the longer you play
  35. 1:08the less influence luck has you know
  36. 1:10like with all things the bigger your
  37. 1:12sample size
  38. 1:13um the more the quality of your
  39. 1:15decisions or your strategies matter
  40. 1:18um so
  41. 1:19to answer that question yeah in poco it
  42. 1:21really depends if you and i sat and
  43. 1:23played
  44. 1:24ten hands right now i might only win 52
  45. 1:27of the time 53 maybe
  46. 1:29um but if we played 10 000 hands then
  47. 1:31i'll probably win like
  48. 1:33over 98 99 of the time so
  49. 1:36it's a question of sample sizes
  50. 1:38and what are you figuring out over time
  51. 1:40the betting strategy that this
  52. 1:41individual does or literally doesn't
  53. 1:43matter against any individual over time
  54. 1:45against any individual over time the
  55. 1:47better player because they're making
  56. 1:48better decisions so what does that mean
  57. 1:50to make a better decision well
  58. 1:52ah to get into the real nitty-gritty
  59. 1:54already um basically
  60. 1:56poker is a game of math
  61. 1:58um there are these strategies familiar
  62. 2:00with like nash equilibria that's yes
  63. 2:02right so there are these game theory
  64. 2:04optimal strategies that you can adopt um
  65. 2:08and the closer you play to them the less
  66. 2:10exploitable you are
  67. 2:12so
  68. 2:13because i've studied the game a bunch um
  69. 2:15although admittedly not for a few years
  70. 2:17but back in you know when i was playing
  71. 2:18all the time um i would study these game
  72. 2:21theory optimal solutions
  73. 2:22and try and then adopt those strategies
  74. 2:24when i go and play so i'd play against
  75. 2:26you and i would do that
  76. 2:27and
  77. 2:29because
  78. 2:31the objective when you're playing game
  79. 2:32theory optimal it's actually it's a loss
  80. 2:34minimization thing that you're trying to
  81. 2:36do um your best bet is to try and play
  82. 2:40uh the sort of similar style you also
  83. 2:42need to try and adopt this loss
  84. 2:44minimization
  85. 2:45um but because i've been playing much
  86. 2:47longer than you i'll be better at that
  87. 2:49so first of all you're not taking
  88. 2:51advantage of my mistakes but then on top
  89. 2:53of that
  90. 2:54i'll be better at recognizing
  91. 2:56when you are playing sub-optimally and
  92. 2:59then deviating from this game theory
  93. 3:01optimal strategy to exploit your bad
  94. 3:03plays
  95. 3:04can you define game theory and nash
  96. 3:07equilibria
  97. 3:08can we try to sneak up to it in a bunch
  98. 3:10of ways like oh what's the game theory
  99. 3:12framework of analyzing poker analyzing
  100. 3:14any kind of situation so game theory is
  101. 3:16just basically the
  102. 3:19study of
  103. 3:21decisions within a competitive situation
  104. 3:25um i mean it's stately a branch of
  105. 3:26economics um but it also applies to like
  106. 3:29wider decision theory um and
  107. 3:34you know usually when you see it it's
  108. 3:35these like little payoff matrices and so
  109. 3:37on that's how it's depicted but it's
  110. 3:38essentially just like study of
  111. 3:40strategies under different competitive
  112. 3:42situations
  113. 3:43um
  114. 3:44and as it happens certain games in fact
  115. 3:46many many games um have these things
  116. 3:48called nash equilibria and what that
  117. 3:50means is when you're in a nash
  118. 3:51equilibrium basically uh it is not
  119. 3:55there is no strategy
  120. 3:57that you can take
  121. 3:59that would be more beneficial than the
  122. 4:01one you're currently taking assuming
  123. 4:02your opponent is also doing the same
  124. 4:04thing um so it'd be a bad idea you know
  125. 4:06if we're both playing a in you know a
  126. 4:08game three optimal strategy if either of
  127. 4:10us deviate from that now
  128. 4:12the other you know the we're putting
  129. 4:14ourselves at a disadvantage um rock
  130. 4:16paper scissors is actually a really
  131. 4:17great example of this like if we
  132. 4:20to were to start playing rock paper
  133. 4:22scissors you know you know nothing about
  134. 4:23me and we're going to play
  135. 4:24for all our money let's play 10 rounds
  136. 4:27of it what would your sort of optimal
  137. 4:29strategy be do you think what would you
  138. 4:31do
  139. 4:32um
  140. 4:33let's see
  141. 4:35i
  142. 4:35would
  143. 4:38probably try to be as random as possible
  144. 4:42exactly you want to because you don't
  145. 4:44know anything about me
  146. 4:45you don't want to give anything about a
  147. 4:47way about yourself so ideally you'd have
  148. 4:48like a little dice or somewhat you know
  149. 4:50perfect randomizer that makes you
  150. 4:52randomize 33 of the time each of the
  151. 4:54three different things and in response
  152. 4:56to that
  153. 4:57um well actually i can kind of do
  154. 4:58anything but i would probably just
  155. 5:00randomize back too but actually it
  156. 5:01wouldn't matter because you're i know
  157. 5:02that you're playing randomly um so that
  158. 5:05would be us in a nash equilibrium um
  159. 5:07where we're both playing this like
  160. 5:08unexploitable strategy
  161. 5:10however if after a while you then notice
  162. 5:12that i'm playing rock a little bit more
  163. 5:15often than i should yeah you're the kind
  164. 5:17of person that would do that wouldn't
  165. 5:18you sure yes yes yes i'm more of a
  166. 5:20scissors girl but anyway you are uh no
  167. 5:22i'm a as i said randomizer uh
  168. 5:25so you notice i'm throwing rock too much
  169. 5:26or something like that right now you'd
  170. 5:28be making a mistake by continuing
  171. 5:30playing this game theory optimal
  172. 5:31strategy because well the previous one
  173. 5:32because
  174. 5:33you are now
  175. 5:35there's an i'm making a mistake and
  176. 5:37you're not deviating and exploiting my
  177. 5:39mistake um so you'd want to start
  178. 5:41throwing paper a bit more often um in
  179. 5:43whatever you figure is the right sort of
  180. 5:45percentage of the time that i'm throwing
  181. 5:46rock too often so that's basically an
  182. 5:50example of where you know what what game
  183. 5:52three optimal strategy is in terms of
  184. 5:53loss minimization but it's not always uh
  185. 5:56the maximally profitable thing if your
  186. 5:58opponent is doing stupid stupid stuff
  187. 6:00which you know in that example so that's
  188. 6:03kind of then how it works in poker but
  189. 6:04it's a lot more complex
  190. 6:06um and the way poker players typically
  191. 6:10you know nowadays they study the games
  192. 6:12change so much and i think we should
  193. 6:13talk about how it sort of evolved um but
  194. 6:15nowadays like the top pros basically
  195. 6:18spend all their time
  196. 6:19in between sessions
  197. 6:20running these simulators
  198. 6:22uh using like software where they do
  199. 6:24basically monte carlo simulations sort
  200. 6:26of doing
  201. 6:27billions of fictitious self-play
  202. 6:29hands
  203. 6:30you input a
  204. 6:32fictitious hand scenario like oh what do
  205. 6:34i do with jack nine suited on a
  206. 6:36king ten four two two spade board um uh
  207. 6:41and and you know against this bet size
  208. 6:43so you'd input that press play it'll run
  209. 6:46it's it's uh you know it's billions of
  210. 6:48fake hands and then it'll converge upon
  211. 6:50what the game theory optimal strategies
  212. 6:51are um
  213. 6:53and then you want to try and memorize
  214. 6:54what these are basically they're like
  215. 6:56ratios of how often you know what types
  216. 6:57of hands uh you want to bluff and what
  217. 7:00percentage of the time so then there's
  218. 7:01this additional layer of inbuilt
  219. 7:03randomization built in yeah those those
  220. 7:04kind of simulations incorporate all the
  221. 7:06betting strategies and everything else
  222. 7:08like that so they
  223. 7:09so as opposed to some kind of very crude
  224. 7:11mathematical model of what's the
  225. 7:12probability you went just based on the
  226. 7:14quality of the card uh it's including
  227. 7:17everything else too the the game theory
  228. 7:19of it yes
  229. 7:20yeah essentially and what's interesting
  230. 7:22is that nowadays if you want to be a top
  231. 7:24pro and you go and play in these really
  232. 7:25like the super high stakes tournaments
  233. 7:27or tough cash games if you don't know
  234. 7:29this stuff you're going to get eaten
  235. 7:31alive in the long run yeah but of course
  236. 7:33you could get lucky over the short run
  237. 7:35and that's where this like luck factor
  238. 7:36comes in because
  239. 7:37luck is both a blessing and a curse
  240. 7:40if luck didn't you know if there wasn't
  241. 7:41this random element and there wasn't the
  242. 7:43ability for
  243. 7:44worse players to win sometimes then
  244. 7:46poker would fall apart
  245. 7:48you know the same reason people don't
  246. 7:49play chess
  247. 7:50professionally for money against
  248. 7:53you don't see people going and hustling
  249. 7:54uh chess like not knowing
  250. 7:56trying to make a living from it because
  251. 7:58you know there's very little luck in
  252. 7:59chess but there's quite a lot of luck in
  253. 8:00poker have you seen a beautiful mind
  254. 8:03that movie years ago well what do you
  255. 8:05think about the game theoretic
  256. 8:06formulation of
  257. 8:07uh what is it the hot blonde at the bar
  258. 8:09do you remember like oh yeah the way
  259. 8:11they illustrated it is they're trying to
  260. 8:13pick up a girl at a bar and there's
  261. 8:15multiple girls they're like friend it's
  262. 8:17like a friend group and you're trying to
  263. 8:19approach i don't remember the details
  264. 8:20but i remember don't you like then speak
  265. 8:22to her friends yeah yeah like that fame
  266. 8:25disinterest i mean it's classic pick-up
  267. 8:26artist stuff right you you want to and
  268. 8:28they were trying to uh correlate that
  269. 8:29somehow that being an optimal strategy
  270. 8:33a
  271. 8:34game theoretically why
  272. 8:36why what like i don't think i remember
  273. 8:38don't imagine that there i mean there's
  274. 8:40probably an optimal strategy is it
  275. 8:42does that mean that there's an actual
  276. 8:43nash equilibrium of like picking up
  277. 8:45girls do you know the uh the marriage
  278. 8:48problem it's optimal stopping yes so
  279. 8:51where it's an optimal dating strategy
  280. 8:54where you
  281. 8:55uh do you remember yeah i think it's
  282. 8:56like something like you you you know
  283. 8:58you've got like a set of 100 people
  284. 8:59you're going to look through and after
  285. 9:01how many
  286. 9:03do you
  287. 9:04now after that after going on this many
  288. 9:06dates out of a hundred at what point do
  289. 9:08you then go okay the next best person i
  290. 9:10see is that the right one and i think
  291. 9:11it's like something like 37 percent
  292. 9:14uh
  293. 9:15it's one over e whatever that is right
  294. 9:17which i think is
  295. 9:19yeah
  296. 9:21we're gonna fact-check that
  297. 9:23um
  298. 9:24yeah so but it's funny under those
  299. 9:27strict constraints then yes after that
  300. 9:29many people as long as you have a fixed
  301. 9:31sized pool
  302. 9:32then you just pick the the per the next
  303. 9:35person that is better than anyone you've
  304. 9:37seen before yeah
  305. 9:39um
  306. 9:40have you have you tried this have you
  307. 9:41incorporated it i'm one of those people
  308. 9:43i might we're and we're going to discuss
  309. 9:45this i
  310. 9:46and
  311. 9:47what do you mean those people
  312. 9:50i try not to optimize stuff i try to uh
  313. 9:53listen to the heart
  314. 9:55i don't
  315. 9:56think
  316. 9:57um i
  317. 9:58like my mind immediately is attracted to
  318. 10:04optimizing everything and i think that
  319. 10:08if if you really give in to that kind of
  320. 10:10addiction that you lose the
  321. 10:12the joy of the small things the minutia
  322. 10:15of life i think i don't know it says i'm
  323. 10:18concerned about the addictive nature of
  324. 10:19my personality in that regard in some
  325. 10:21ways
  326. 10:24while i think the on average people
  327. 10:28under try and quantify things or try
  328. 10:30under optimize um there are some people
  329. 10:33who you know it's like with all these
  330. 10:35things it's a you know it's a balancing
  331. 10:36act i've been on dating apps but i've
  332. 10:38never used them
  333. 10:39i i'm sure they have data on this
  334. 10:41because they probably have the optimal
  335. 10:43stopping control problem because aren't
  336. 10:45a lot of people that use social like
  337. 10:47dating apps are on there for a long time
  338. 10:50so the the the interesting
  339. 10:53the interesting aspect is like all right
  340. 10:56how long before you stop looking before
  341. 10:59it actually starts affecting your mind
  342. 11:01negatively such that you see
  343. 11:03dating as a kind of
  344. 11:05um
  345. 11:07a game a kind of game versus an actual
  346. 11:11uh
  347. 11:12process of finding somebody that's going
  348. 11:13to make you happy for the rest of your
  349. 11:14life that's really interesting uh they
  350. 11:17have the data i wish they would be able
  351. 11:18to release that data and i do want to
  352. 11:21it's okay cupid right i think they ran a
  353. 11:22huge huge study on all of their yeah
  354. 11:25they're more data-driven i think
  355. 11:27what folks are yeah i think there's a
  356. 11:28lot of opportunity for dating apps in
  357. 11:30general you know even bigger than dating
  358. 11:31apps people connecting on the internet i
  359. 11:35just hope they're more data driven
  360. 11:37and it doesn't seem that way
  361. 11:40i think like uh i've always want i
  362. 11:42always thought that um
  363. 11:44good reads should be a dating app
  364. 11:47like uh i've never used it the goodreads
  365. 11:50is a good reason just list
  366. 11:52like books that you've read okay and
  367. 11:55allows you to comment on the books you
  368. 11:56read and what books you're currently
  369. 11:58reading it's a giant social networks of
  370. 12:00people reading books and that seems to
  371. 12:01be a much better database of like
  372. 12:03interests of course to constrain you to
  373. 12:05the books you're reading but like
  374. 12:07that really reveals so much more about
  375. 12:09the person allows you to discover shared
  376. 12:12interests because books are kind of
  377. 12:13window into the way you see the world
  378. 12:15also like the kind of places
  379. 12:19people you're curious about the kind of
  380. 12:20ideas you're curious about are you a
  381. 12:21romantic or are you called calculating
  382. 12:24rationalists are you
  383. 12:25are you into iron rand or are you into
  384. 12:27bernie sanders are you into whatever
  385. 12:29right and i feel like that reveals so
  386. 12:31much more than like a a person
  387. 12:33trying to look hot from a certain angle
  388. 12:36and a tinder profile and it would also
  389. 12:37be a really great filter
  390. 12:38in the first place for people it selects
  391. 12:40for people who read books and are
  392. 12:42willing to go and
  393. 12:43rate them and
  394. 12:45give feedback on them and so on so
  395. 12:46that's already a really strong filter
  396. 12:48probably the type of people you'd be
  397. 12:49looking for well at least be able to
  398. 12:51fake reading books i mean the thing
  399. 12:52about books you don't really need to
  400. 12:54read it you can just game
  401. 12:55yeah game the dating app by feigning
  402. 12:58intellectualism can i admit something
  403. 13:00very horrible about myself go on the
  404. 13:03things that you know i don't have many
  405. 13:04things in my closet but this is one of
  406. 13:06them
  407. 13:07i've never actually really read
  408. 13:09shakespeare i've only read cliff notes
  409. 13:12and i got a five in the ap english uh
  410. 13:14exam
  411. 13:15and i took
  412. 13:17uh the which books have i read oh yeah
  413. 13:19which was the the exam on which oh no
  414. 13:21they they include a lot of them um
  415. 13:24but hamlet
  416. 13:25uh i don't even know if you read romeo
  417. 13:27and juliet
  418. 13:28uh macbeth i don't remember but i don't
  419. 13:31understand it it's like really cryptic
  420. 13:33it's hard it's really i don't and it's
  421. 13:36not that pleasant to read it's like
  422. 13:38ancient speak i don't understand it
  423. 13:40anyway maybe i was too dumb i'm still
  424. 13:42too dumb but uh
  425. 13:44i did go to five which is yeah yeah i
  426. 13:46don't know how the u.s grading system oh
  427. 13:48no so ap english is a
  428. 13:50there's kind of this advanced versions
  429. 13:52of courses in high school and you take a
  430. 13:54test that is like a broad test for that
  431. 13:57subject and includes a lot it wasn't
  432. 13:59obviously just shakespeare i think a lot
  433. 14:00of it was also writing
  434. 14:03uh written you have like ap physics ap
  435. 14:06computer science ap biology ep chemistry
  436. 14:09and then ap english or ap literature i
  437. 14:12forget what it was
  438. 14:13but i think shakespeare was a part of
  439. 14:15that but i and you and your gamer the
  440. 14:17point is you gamified it
  441. 14:19well entirety i was into getting a's
  442. 14:22i saw it as a game
  443. 14:24i don't think any
  444. 14:26i don't think all the learning i've done
  445. 14:30has been outside of the outside of
  446. 14:33school the deepest learning i've done
  447. 14:34has been outside of school with a few
  448. 14:36exceptions especially in grad school
  449. 14:38like deep computer science courses but
  450. 14:40that was still outside of school because
  451. 14:42it was outside of getting site it was
  452. 14:43outside of getting the a for the course
  453. 14:46the best stuff i've ever done is
  454. 14:48when you read the chapter and you do
  455. 14:50many of the problems at the end of the
  456. 14:51chapter which is usually not what's
  457. 14:53required for the course like the hardest
  458. 14:55stuff
  459. 14:56in fact textbooks are freaking
  460. 14:57incredible if you go back now and you
  461. 15:00look at like biology textbook or
  462. 15:03or
  463. 15:04any of the computer science textbooks on
  464. 15:06algorithms and data structures those
  465. 15:07things are incredible they have the best
  466. 15:10summary of a subject plus they have
  467. 15:12practice problems of increasing
  468. 15:14difficulty that allows you to truly
  469. 15:16master the basic like the fundamental
  470. 15:18ideas behind that that was i go through
  471. 15:20my entire physics degree
  472. 15:22with one textbook that was just really
  473. 15:25comprehensive one that they told us at
  474. 15:26the beginning of the first year buy this
  475. 15:29but you're gonna have to buy
  476. 15:3015 other books for all your
  477. 15:31supplementary courses and i was like
  478. 15:34every time i just checked to see whether
  479. 15:35this book covered it and it did
  480. 15:37and i think i only bought like two or
  481. 15:39three extra and thank god because
  482. 15:40they're so super expensive textbooks
  483. 15:41it's a whole racket they've got going on
  484. 15:43um
  485. 15:44yeah they are they could just
  486. 15:46you get the right one it's just like a
  487. 15:47manual for
  488. 15:49but what's interesting though
  489. 15:51is
  490. 15:52this is the tyranny of of having exams
  491. 15:55and metrics it's the journey of exams
  492. 15:57and metrics yes i loved them because i
  493. 15:59loved i'm very competitive and i liked
  494. 16:01yes i liked finding ways to gamify
  495. 16:03things and then like sort of dust off my
  496. 16:05shoulders afterwards when i get get a
  497. 16:06good grade or be annoyed at myself when
  498. 16:08i didn't um but yeah you're absolutely
  499. 16:10right and that the actual
  500. 16:12you know how much of that physics
  501. 16:14knowledge i've retained like i've
  502. 16:16i learned how to cram and study and
  503. 16:19please an examiner but did that give me
  504. 16:22the deep lasting knowledge that i needed
  505. 16:24i mean yes yes and no
  506. 16:26um but really like nothing makes you
  507. 16:28learn
  508. 16:29a topic better than when you actually
  509. 16:31then have to teach it yourself
  510. 16:33um you know like i'm trying to wrap my
  511. 16:35teeth around this like game theory molok
  512. 16:37stuff right now and
  513. 16:38there's no exam at the end of it
  514. 16:41uh that i can gamify there's no way to
  515. 16:43gamify and sort of like shortcut my way
  516. 16:45through it i have to understand it so
  517. 16:46deeply from like deep foundational
  518. 16:48levels to them to build upon it and then
  519. 16:50try and explain it to other people and
  520. 16:52like you know you're about to go and do
  521. 16:53some lectures right you you
  522. 16:55you can't you can't sort of just like
  523. 16:58you probably presumably can't rely on
  524. 17:00the knowledge that you got through when
  525. 17:01you were studying for an exam
  526. 17:03to reteach that yeah and especially high
  527. 17:05level lectures especially the kind of
  528. 17:07stuff you do on youtube
  529. 17:09you're not just regurgitating material
  530. 17:12you have to
  531. 17:14think through
  532. 17:15what is the core idea here and
  533. 17:18when you do the lectures live especially
  534. 17:20you have to
  535. 17:21there's no
  536. 17:22second takes
  537. 17:24that is a luxury you get if you're
  538. 17:27recording a video for youtube or
  539. 17:28something like that
  540. 17:30but
  541. 17:31it definitely is a luxury you shouldn't
  542. 17:33lean on
  543. 17:34i've gotten to interact with a few
  544. 17:36youtubers that lean on that too much
  545. 17:39and you realize oh you're
  546. 17:41you've gamified this system because
  547. 17:43you're not really thinking deeply about
  548. 17:46stuff you're through the edit both
  549. 17:48written and uh
  550. 17:50spoken
  551. 17:52you're crafting an amazing video but you
  552. 17:54yourself as a human being have not
  553. 17:55really deeply understood it so live
  554. 17:58teaching or at least on recording video
  555. 18:00with very few takes is is uh is a
  556. 18:03different beast and i think it's it's
  557. 18:05the most honest way of doing it like as
  558. 18:07few takes as possible that's why i'm
  559. 18:09nervous about this
  560. 18:11don't go back ah let's do that don't
  561. 18:14this up liv
  562. 18:16uh
  563. 18:17the tyranny of exams i do think you know
  564. 18:19people
  565. 18:20talk about you know high school and
  566. 18:22college
  567. 18:24as a time to do drugs and drink and have
  568. 18:26fun and all this kind of stuff but
  569. 18:29you know looking back
  570. 18:31of course i did a lot of those things
  571. 18:34no uh yes but
  572. 18:37it's also a time
  573. 18:38when you get to
  574. 18:41like read textbooks or read books or
  575. 18:43learn
  576. 18:45with all the time in the world
  577. 18:48like you don't have these
  578. 18:49responsibilities of like
  579. 18:51uh
  580. 18:52you know
  581. 18:53laundry and uh
  582. 18:57having to sort of uh pay for mortgage or
  583. 19:00all that kind of stuff pay taxes all
  584. 19:02this kind of stuff uh in most cases
  585. 19:04there's just
  586. 19:06so much time in the day for learning and
  587. 19:08you don't realize it at the time because
  588. 19:10at the time it seems like a chore like
  589. 19:12why the hell does there's so much
  590. 19:14homework but you never get a chance to
  591. 19:16do this kind of learning this kind of
  592. 19:18homework
  593. 19:19ever again in life unless later in life
  594. 19:22you really make a big effort out of it
  595. 19:24you get so like you basically your
  596. 19:26knowledge gets solidified you don't get
  597. 19:27you don't get to have fun and learn
  598. 19:29learning is really
  599. 19:31is really fulfilling and really fun if
  600. 19:33you're that kind of person like some
  601. 19:34people
  602. 19:36like to you know like knowledge is not
  603. 19:38something that they think is fun but if
  604. 19:40if that's a kind of thing that you think
  605. 19:42is fun
  606. 19:43that's the time to have fun and do the
  607. 19:45drugs and drinking all that kind of
  608. 19:46stuff but the learning
  609. 19:49just going back to those textbooks
  610. 19:51the hours spent with the textbooks is uh
  611. 19:53is really really rewarding do people
  612. 19:55even use textbooks anymore yeah do you
  613. 19:57think because
  614. 19:58there's days with their well
  615. 20:00well not even that but just like
  616. 20:03so much information really high quality
  617. 20:05information you know is now in digital
  618. 20:06format online
  619. 20:08um yeah but they're not they are using
  620. 20:10that but you know college is still very
  621. 20:14there's a curriculum
  622. 20:16i mean so much of school is about
  623. 20:18rigorous study of a subject and still on
  624. 20:21youtube
  625. 20:22that's not there right youtube has um
  626. 20:26uh grant sanderson talks about this he's
  627. 20:27the this masterpiece
  628. 20:30yeah three blue one brown
  629. 20:31he says like i'm not a math teacher i
  630. 20:34just take really cool concepts and i
  631. 20:36inspire people but if you want to really
  632. 20:38learn calculus if you want to really
  633. 20:40learn linear algebra you just you should
  634. 20:42do the textbook you should do that you
  635. 20:44know and there's still
  636. 20:46the uh the textbook industrial complex
  637. 20:48that that like charges like two hundred
  638. 20:51dollars for a textbook and somehow i
  639. 20:53don't know this it's ridiculous
  640. 20:56well they're like oh sorry new edition
  641. 20:58edition 14.6 sorry you can't use 14.5
  642. 21:02anymore it's like what's different we've
  643. 21:03got one paragraph different
  644. 21:05so we mentioned offline daniel negrano
  645. 21:08um i'm going to get a chance to talk to
  646. 21:10him on this podcast and he's somebody
  647. 21:12that i was i found fascinating in terms
  648. 21:14of the way he thinks about poker
  649. 21:16verbalizes the way he thinks about poker
  650. 21:18the way he plays poker
  651. 21:20so
  652. 21:20and he's still pretty damn good he's
  653. 21:23been good for a long time so you
  654. 21:25mentioned
  655. 21:26that people are running these kind of
  656. 21:27simulations and the game of poker has
  657. 21:29changed
  658. 21:30do you think he's adapting in this way
  659. 21:33do you like the top pros do they have to
  660. 21:35adopt this way or is there is there
  661. 21:37still like
  662. 21:39over years
  663. 21:41you basically develop this gut feeling
  664. 21:44about
  665. 21:45like you you get to be like good the way
  666. 21:48like alpha zero is good you look at the
  667. 21:50board
  668. 21:51and
  669. 21:52somehow from the fog comes out the right
  670. 21:54answer like this is likely what they
  671. 21:57have this is likely the best way to move
  672. 22:00and you don't really you can't really
  673. 22:02put a finger on exactly why
  674. 22:05but it just comes from your gut feeling
  675. 22:08or no
  676. 22:09yes and no
  677. 22:10so gut feelings are definitely very
  678. 22:12important um you know that we've got our
  679. 22:15two mo
  680. 22:16you can distill it down to two modes of
  681. 22:18decision making right you've got your
  682. 22:19sort of logical linear voice in your
  683. 22:21head system two as it's often called and
  684. 22:24your system on your
  685. 22:25your gut intuition
  686. 22:27um
  687. 22:28and
  688. 22:30historically in poker
  689. 22:32the very best players were playing
  690. 22:34almost entirely by their gut
  691. 22:36um you know often they'd do some kind of
  692. 22:38inspired play and you'd ask them why
  693. 22:39they do it and they wouldn't really be
  694. 22:41able to explain it um and that's
  695. 22:44not so much because their process was
  696. 22:46unintelligible but it was more just
  697. 22:48because no one unders no one had the
  698. 22:49language with which to describe what
  699. 22:51optimal strategies were because no one
  700. 22:52really understood how poker worked this
  701. 22:54was before you know we had analysis
  702. 22:56software you know no one was
  703. 22:58writing you know if i guess some people
  704. 23:00would write down their hands in a little
  705. 23:01notebook but there was no way to
  706. 23:03assimilate all this data and analyze it
  707. 23:05but then you know with when computers
  708. 23:07became cheaper and software started
  709. 23:09emerging and then obviously online poker
  710. 23:11where it would like automatically save
  711. 23:12your hand histories um now all of a
  712. 23:14sudden you kind of had this this body of
  713. 23:16data that you could run analysis on
  714. 23:19and so that's when people started to see
  715. 23:21you know these mathematical solutions
  716. 23:24and
  717. 23:24um
  718. 23:26and so what that meant
  719. 23:28is the
  720. 23:30the role of intuition essentially became
  721. 23:33smaller
  722. 23:34um
  723. 23:35and it it meant more into as as we
  724. 23:37talked before about you know this game
  725. 23:39theory optimal style but as
  726. 23:41also as i said like game theory optimal
  727. 23:43is about um
  728. 23:44loss minimization and being
  729. 23:46unexploitable but if you're playing
  730. 23:48against people who aren't because no one
  731. 23:49person no human being can play perfectly
  732. 23:51game through optimal in poker not even
  733. 23:52the best ais they're still like they're
  734. 23:54not you know they're 99.99 of the way
  735. 23:56there or whatever but this it's kind of
  736. 23:58like the speed of light you can't reach
  737. 24:00it perfectly so there's still a role for
  738. 24:02intuition yes so
  739. 24:05when yeah when
  740. 24:06you're playing this unexploitable style
  741. 24:08but when your opponents start doing uh
  742. 24:10something you know sub-optimal that you
  743. 24:12want to exploit well now that's where
  744. 24:15not only your like logical brain will
  745. 24:17need to be thinking well okay i know i
  746. 24:19have this my i'm in the sort of top end
  747. 24:21of my range here with this with this
  748. 24:22hand
  749. 24:23so that means i need to be calling x
  750. 24:25percent of the time um and i put them on
  751. 24:28this range et cetera
  752. 24:30but then
  753. 24:31sometimes you'll have this gut feeling
  754. 24:33that will tell you
  755. 24:35you know
  756. 24:36you know what this time i know i know
  757. 24:38mathematically i'm meant to call now you
  758. 24:40know i've got i'm in the sort of top end
  759. 24:41of my range and
  760. 24:43um these this is the odds i'm getting so
  761. 24:45the math says i should call but there's
  762. 24:47something in your gut saying they've got
  763. 24:48it this time they've got it like uh
  764. 24:52they're beating you maybe your hand is
  765. 24:53worse um so then the the real art this
  766. 24:56is where the last remaining art in poker
  767. 24:59the fuzziness uh is like do you listen
  768. 25:02to your gut how do you quantify the
  769. 25:05strength of it or can you even quantify
  770. 25:07the strength of it um and i think that's
  771. 25:10what daniel
  772. 25:12has i mean i i can't speak for how much
  773. 25:14he's studying with with with the
  774. 25:16simulators and that kind of thing i
  775. 25:17think he has like he must be to still be
  776. 25:20keeping up um but he has an incredible
  777. 25:24intuition
  778. 25:25for just he's seen so many hands of
  779. 25:28poker in the flesh he's seen so many
  780. 25:30people the way they behave when the
  781. 25:32chips are you know when the money's on
  782. 25:33the line and you've got him staring you
  783. 25:34down in the eye you know he's
  784. 25:36intimidating he's got this like kind of
  785. 25:38x factor vibe that he you know
  786. 25:41gives out and he talks a lot which is an
  787. 25:43interactive element which is he's
  788. 25:45getting stuff from other people yes
  789. 25:47yeah just like the subtlety so he's like
  790. 25:49he's probing constantly yeah he's
  791. 25:51probing and he's getting this extra
  792. 25:53layer of information that others can't
  793. 25:55now that said though he's good online as
  794. 25:57well you know i don't know how again
  795. 25:59would he be beating the top
  796. 26:01cash game players online probably not no
  797. 26:04um
  798. 26:05but when he's in in person and he's got
  799. 26:07that additional layer of information he
  800. 26:09he can not only extract it but he knows
  801. 26:11what to do with it um still so well
  802. 26:14there's one player who i would say is
  803. 26:15the exception to all of this
  804. 26:17um and he's one of my favorite people to
  805. 26:19talk about in terms of
  806. 26:21i think he might have cracked the
  807. 26:23simulation uh is phil hellmuth
  808. 26:25uh he
  809. 26:27in more ways than one he's a practice
  810. 26:29simulation i think yeah he
  811. 26:32somehow to this day is still and i love
  812. 26:34you phil don't i'm not in any way
  813. 26:36knocking you um he's still winning
  814. 26:40so much at the world series of poker
  815. 26:42specifically um he's now on 16 bracelets
  816. 26:45the next nearest person i think has won
  817. 26:46ten um
  818. 26:48and he is consistently year in year out
  819. 26:50going deep or winning these huge field
  820. 26:52tournaments you know with like 2 000
  821. 26:53people
  822. 26:54um which statistically he should not be
  823. 26:56doing
  824. 26:57and
  825. 27:00and yet
  826. 27:01you watch some of the plays he makes and
  827. 27:02they make no sense like mathematically
  828. 27:04they are so far from game theory optimal
  829. 27:06yeah and the thing is if you went and
  830. 27:08stuck him in one of these like high
  831. 27:10stakes cash games with a bunch of like
  832. 27:12gto people he's gonna get ripped apart
  833. 27:14but there's something that he has that
  834. 27:16when he's in the halls of the world
  835. 27:17series of poker specifically um
  836. 27:20amongst sort of amateurish players
  837. 27:24he gets them to do crazy like that
  838. 27:26and and
  839. 27:28but my little pet theory is that also
  840. 27:31he
  841. 27:32just the car he he's he's like a wizard
  842. 27:34and he gets the cards to do what he
  843. 27:36needs them to do
  844. 27:38because he
  845. 27:40ex he just expects to win and he expects
  846. 27:43to rece you know to get flopper set with
  847. 27:45a frequency far beyond what this you
  848. 27:48know the the the real percentages are
  849. 27:50and i don't even know if he knows what
  850. 27:51the real percentages are he doesn't need
  851. 27:53to because he gets there i think he has
  852. 27:55found the chico because when i've seen
  853. 27:56him play he seems to be like annoyed
  854. 27:59that the long shot thing didn't happen
  855. 28:01yes
  856. 28:02he's like annoyed and it's almost like
  857. 28:05everybody else is stupid because he was
  858. 28:06obviously going to win with us
  859. 28:08if that silly thing hadn't happened and
  860. 28:10it's like you understand the silly thing
  861. 28:11happens 99 of the time and it's a one
  862. 28:14percent not the other way around but
  863. 28:16genuinely for his lived experience at
  864. 28:18the well only at the monster as a poker
  865. 28:19it is like that so i don't blame him for
  866. 28:22feeling that way um but he does he has
  867. 28:24this he has this x factor and
  868. 28:28the poker community has tried for years
  869. 28:29to rip him down saying like you know he
  870. 28:31doesn't he's no good but he's clearly
  871. 28:33good because he's still winning or
  872. 28:34there's something going on whether
  873. 28:36that's he's figured out how to
  874. 28:38mess with the fabric of reality and how
  875. 28:41cards
  876. 28:42are you know a randomly shuffled deck of
  877. 28:43cards come out i don't know what it is
  878. 28:44but he's doing doing it right still who
  879. 28:46do you think is the greatest of all time
  880. 28:48would you put hellmuth
  881. 28:52no no he's definitely he seems like the
  882. 28:53kind of person would mention he would
  883. 28:55actually watch this so you might want to
  884. 28:57be careful as i said i love phil and i
  885. 29:00and i'm i'm i have i would say this to
  886. 29:02his face i'm not saying anything i don't
  887. 29:05he's got he truly i mean he is one of
  888. 29:08the greatest yeah i don't know if he's
  889. 29:09the greatest he's certainly the greatest
  890. 29:12at the world series of poker
  891. 29:14and he is the greatest at
  892. 29:16despite the game switching into a
  893. 29:18pure game almost an entire game of math
  894. 29:20he has managed to keep the magic alive
  895. 29:22and this like just through sheer force
  896. 29:24of will making the game work for him and
  897. 29:27that is incredible and i think it's
  898. 29:29something that should be studied because
  899. 29:30it's an example
  900. 29:31yeah there might be some actual game
  901. 29:33theoretic wisdom there there might be
  902. 29:35something to be said about optimality
  903. 29:37from studying him
  904. 29:39right what do you mean by optimality
  905. 29:40meaning
  906. 29:41uh or rather game design perhaps
  907. 29:45meaning if what he's doing is working
  908. 29:48maybe
  909. 29:50poker is more complicated than we're
  910. 29:51currently modeling it as so like or
  911. 29:55there's an extra layer and i don't mean
  912. 29:57to get too weird and wooy
  913. 29:59but
  914. 30:00or there's an extra layer of
  915. 30:03ability to manipulate the things the way
  916. 30:06you want them to go that we don't
  917. 30:07understand yet
  918. 30:09do you think phil hellmuth understands
  919. 30:11them is he just generally hashtag
  920. 30:13positivity
  921. 30:15he wrote a book on positivity and he has
  922. 30:17yes he did
  923. 30:18positivity trolling books no a
  924. 30:24wrote a book about positivity yes
  925. 30:27okay
  926. 30:28about i think and i think it's about
  927. 30:29sort of manifesting what you want
  928. 30:32and getting the outcomes that you want
  929. 30:34by believing so much in yourself and in
  930. 30:36your ability to win like eyes on the
  931. 30:38prize
  932. 30:39um
  933. 30:40and i mean it's working the man's
  934. 30:42delivered
  935. 30:43where do you put like phil ivey and all
  936. 30:45those kinds of people um i mean i'm too
  937. 30:48i've been
  938. 30:49to be honest too much out of the scene
  939. 30:50for the last few years to really
  940. 30:53i mean phil ivey's clearly got again
  941. 30:55he's got that x factor um
  942. 30:57he's so incredibly intimidating to play
  943. 31:00against i've only played against him a
  944. 31:01couple of times but when he like looks
  945. 31:02you in the eye and you're trying to run
  946. 31:04a bluff on him no one's made me sweat
  947. 31:06harder than phil ivey just
  948. 31:07um my my bluff got through actually
  949. 31:10that was actually one of the most
  950. 31:11thrilling moments i've ever had in poker
  951. 31:12was it was in a monte carlo and a high
  952. 31:14roller i can't remember exactly what the
  953. 31:16hand was but um i i you know i three bit
  954. 31:19and then like just barreled all the way
  955. 31:20through
  956. 31:21and he just like put his laser eyes into
  957. 31:24me and i felt like he was just scouring
  958. 31:26my soul
  959. 31:28and i was just like hold it together
  960. 31:29live hold
  961. 31:30together weaker
  962. 31:30you know your hand a it
  963. 31:32yeah i mean i was bluffing i i presume
  964. 31:35which you know there's a chance i was
  965. 31:36bluffing with the best hand but i'm
  966. 31:38pretty sure my hand was worse um and
  967. 31:41uh and he folded
  968. 31:44i was truly one of my one of the deep
  969. 31:46highlights of my correct did you show
  970. 31:47the cards are you useful
  971. 31:49what would you you should never show in
  972. 31:51game like because especially as i felt
  973. 31:53like i was one of the worst players at
  974. 31:54the table in that tournament so
  975. 31:56giving that information unless i had a
  976. 31:58really solid plan that i was now like
  977. 32:01advertising oh look i'm capable of
  978. 32:02bluffing phil ivey but like why
  979. 32:05it's much more valuable
  980. 32:06to take advantage of the impression that
  981. 32:08they have of me which is like i'm a
  982. 32:09scared girl playing a high roller for
  983. 32:10the first time keep that going you know
  984. 32:14interesting but isn't there layers to
  985. 32:16this like psychological warfare that the
  986. 32:18scared girl
  987. 32:21might be way smart and then like to to
  988. 32:23flip the tables do you think about that
  989. 32:25kind of stuff or definitely i mean not
  990. 32:27going to reveal information i mean
  991. 32:28generally speaking you want to not
  992. 32:30reveal information you know the goal of
  993. 32:31poker is to be as
  994. 32:33deceptive as possible about your own
  995. 32:35strategies while
  996. 32:36elucidating as much out of your opponent
  997. 32:38about their own
  998. 32:39so
  999. 32:40giving them free information
  1000. 32:41particularly if they're people who you
  1001. 32:42consider very good players
  1002. 32:44any information i give them is going
  1003. 32:46into their little database and being i
  1004. 32:49assume it's going to be calculated and
  1005. 32:50used well
  1006. 32:51so i have to be really confident that my
  1007. 32:54like meta gaming that i'm going to then
  1008. 32:56do or they've seen this so therefore
  1009. 32:57that i'm going to be on the right level
  1010. 32:59um so it's better just to keep that
  1011. 33:02little secret to myself in a moment so
  1012. 33:04how much is bluffing part of the game
  1013. 33:06huge amount
  1014. 33:08so yeah i mean maybe actually let me ask
  1015. 33:10like what did it feel like with the ivy
  1016. 33:12or anyone else when it's a high stake
  1017. 33:14when it's a big
  1018. 33:16it's a big bluff
  1019. 33:18um so a lot of money on the table
  1020. 33:21and maybe
  1021. 33:22i mean what defines a big bluff maybe a
  1022. 33:24lot of money on the table but also some
  1023. 33:26uncertainty in your
  1024. 33:28mind and heart about
  1025. 33:30like self-doubt well maybe i
  1026. 33:32miscalculated what's going on here what
  1027. 33:34the bet said all that kind of stuff like
  1028. 33:36what does that feel like
  1029. 33:38i mean it's
  1030. 33:41i imagine comparable to
  1031. 33:45you know running a
  1032. 33:47i mean any kind of big bluff where you
  1033. 33:50have a lot of something that you care
  1034. 33:52about on the line
  1035. 33:54you know so if you're
  1036. 33:55bluffing in a courtroom not that anyone
  1037. 33:57should ever do that or you know
  1038. 33:58something equatable to that it's it's
  1039. 34:00incr
  1040. 34:02you know in that scenario you know i
  1041. 34:04think it was the first time i'd ever
  1042. 34:04played a 20 i'd won my way into this 25k
  1043. 34:08tournament
  1044. 34:09so that was the buy in 25 000 euros and
  1045. 34:11i had satellited my way in because it
  1046. 34:13was much bigger than i would never ever
  1047. 34:14normally play
  1048. 34:16and you know i hadn't i wasn't that
  1049. 34:17experienced at the time and now i was
  1050. 34:19sitting there against all the big boys
  1051. 34:21you know the negra news the fill ivs and
  1052. 34:22so on um
  1053. 34:24and then
  1054. 34:26uh to like
  1055. 34:28you know each time you put the bets out
  1056. 34:30you know you put another bet out
  1057. 34:32your car yeah i was on a what's called a
  1058. 34:34semi-bluff so there were some cards that
  1059. 34:35could come that would make my hand very
  1060. 34:37very strong and therefore win but most
  1061. 34:39of the time those cards don't come so
  1062. 34:41that it's the same above because you're
  1063. 34:42representing what are you representing
  1064. 34:44that you already have something
  1065. 34:47so i think in this scenario i had a
  1066. 34:50flush draw two two so i had two clubs
  1067. 34:53two two clubs came out on the flop and
  1068. 34:55then i'm hoping that on the turn in the
  1069. 34:57river one will come so i have some
  1070. 34:59future equity i could hit a club and
  1071. 35:01then i'll have the best hand in which
  1072. 35:02case great um and so i can keep betting
  1073. 35:06and i'll want them to call but i'm also
  1074. 35:08got the other way of winning the hand
  1075. 35:09where if my
  1076. 35:10card doesn't come i can keep betting and
  1077. 35:12get them to fold their hand
  1078. 35:14and i'm pretty sure that's what the
  1079. 35:16scenario was
  1080. 35:17um so i had some future equity but it's
  1081. 35:19still you know most of the time i don't
  1082. 35:22hit that club and so i would rather him
  1083. 35:24just fold because i'm you know the pot
  1084. 35:26is now getting bigger and bigger and in
  1085. 35:28the end like i jam all jam all in on the
  1086. 35:30river
  1087. 35:30that's my entire tournament on the line
  1088. 35:33as far as i'm aware this might be the
  1089. 35:34one time i ever get to play a big 25k
  1090. 35:37you know this is the first time i played
  1091. 35:38once so it was
  1092. 35:40it felt like the most momentous thing
  1093. 35:41and this is also when i was trying to
  1094. 35:42build myself up you know build my name a
  1095. 35:44name for myself in in poker i wanted to
  1096. 35:46get respect destroy everything for you
  1097. 35:49it felt like it in the moment like i
  1098. 35:50mean it literally does feel like a form
  1099. 35:52of life and death like your body
  1100. 35:53physiologically is having that flight or
  1101. 35:55fight response what are you doing with
  1102. 35:56your body what are you doing with your
  1103. 35:57face are you just like
  1104. 36:00what are you thinking about
  1105. 36:02a mixture of like okay what are the
  1106. 36:04cards so
  1107. 36:05in theory i'm thinking about like okay
  1108. 36:06what are cards that look make my hand
  1109. 36:09look stronger which you know which cards
  1110. 36:11hit my perceived range from his
  1111. 36:13perspective which cards don't um what's
  1112. 36:15the right amount of bet size to you know
  1113. 36:18maximize my fold equity in this
  1114. 36:19situation you know that's the logical
  1115. 36:21stuff that i should be thinking about
  1116. 36:23but i think in reality because i was so
  1117. 36:24scared because there's this at least for
  1118. 36:26me there's a certain threshold of like
  1119. 36:28nervousness or stress beyond which the
  1120. 36:31like logical brain shuts off
  1121. 36:33and now it just gets into this like
  1122. 36:36it's just like it feels like a game of
  1123. 36:37wits basically it's like of nerve can
  1124. 36:39you hold your hold your resolve
  1125. 36:41um and it certainly got by that like by
  1126. 36:43the river at this i think by that point
  1127. 36:45i was like i don't even know if this is
  1128. 36:46a good bluff anymore but it let's
  1129. 36:49do it your mind is almost numb from the
  1130. 36:51intensity of that feeling i call it the
  1131. 36:53white noise
  1132. 36:55and and that's this
  1133. 36:57and it happens in all kinds of decision
  1134. 36:58making i think anything that's really
  1135. 37:00really stressful like i can imagine
  1136. 37:01someone in like an important job
  1137. 37:02interview if it's like a job they've
  1138. 37:03always wanted and they're getting
  1139. 37:05grilled you know like bridgewater style
  1140. 37:07where they ask these very like really
  1141. 37:08hard like mathematical questions
  1142. 37:11you know that's it's a really learned
  1143. 37:12skill to be able to like
  1144. 37:14subdue
  1145. 37:16your flight or fight response you know
  1146. 37:17what i think get from the sympathetic
  1147. 37:19into the parasympathetic so you can
  1148. 37:21actually you know engage the that voice
  1149. 37:23in your head and do those slow logical
  1150. 37:25calculations because evolutionarily we
  1151. 37:28you know if we see a lion running at us
  1152. 37:29we didn't have time to sort of calculate
  1153. 37:31the line's kinetic energy and you know
  1154. 37:33is it optimal to go this way or that way
  1155. 37:35you just reacted and
  1156. 37:37physically our bodies are well attuned
  1157. 37:39to actually make right decisions but
  1158. 37:41when you're playing a game like poker
  1159. 37:43this is not something that you ever you
  1160. 37:44know evolved to do and yet you're in
  1161. 37:46that same flight or fight response
  1162. 37:49and so that's a really important skill
  1163. 37:50to be able to develop to basically learn
  1164. 37:52how to like
  1165. 37:53meditate in the moment and calm yourself
  1166. 37:55so that you can think clearly
  1167. 37:57but as you were searching for
  1168. 37:59a comparable thing it's interesting
  1169. 38:01because i you just made me realize that
  1170. 38:03bluffing is
  1171. 38:04like an incredibly high stakes form of
  1172. 38:06lying
  1173. 38:08you're you're you're lying
  1174. 38:10and i don't think you're telling a story
  1175. 38:13it's not it's straight up lying
  1176. 38:15in in the context of game
  1177. 38:16it's not a negative kind of lying
  1178. 38:18but it is yeah exactly you are you're
  1179. 38:20i'm you're representing something that
  1180. 38:22you don't have and i was thinking like
  1181. 38:24in how often in life
  1182. 38:26do we have such high stakes of lying
  1183. 38:30because i was thinking um
  1184. 38:32certainly in
  1185. 38:34high-level military strategy i was
  1186. 38:36thinking um
  1187. 38:37when hitler was lying to stalin
  1188. 38:40about his plans
  1189. 38:42to invade the soviet union
  1190. 38:44and so you're you're you're talking to a
  1191. 38:46person like your friends
  1192. 38:48and uh you're fighting against the enemy
  1193. 38:50whatever the the the formulation that
  1194. 38:52enemy is but
  1195. 38:54meanwhile whole time you're building up
  1196. 38:56troops on the border
  1197. 38:58um
  1198. 38:58that's extremely wait so hitler and
  1199. 39:00stalin were like pretending to be
  1200. 39:01friends yeah my history knowledge is
  1201. 39:03terrible that's crazy yeah that they
  1202. 39:05were
  1203. 39:06uh yeah
  1204. 39:08man
  1205. 39:09uh and it worked because stalin until
  1206. 39:12the troops crossed the border and
  1207. 39:14invaded
  1208. 39:15in operation barbarossa where they
  1209. 39:19this storm of nazi troops invaded large
  1210. 39:23parts of the soviet union and hence one
  1211. 39:26of the biggest wars in human history
  1212. 39:28uh began
  1213. 39:30stalin for sure was thought that this
  1214. 39:32was uh never going to be uh that hillary
  1215. 39:35is not crazy enough
  1216. 39:37to invade the soviet union that they it
  1217. 39:39makes geopolitically makes total sense
  1218. 39:41to be collaborators and ideologically
  1219. 39:45even though there's a tension between
  1220. 39:46communism and fascism or uh national
  1221. 39:49socialism however you formulated it
  1222. 39:51still feels like this is the right way
  1223. 39:54to battle the west right
  1224. 39:56they were more ideologically aligned you
  1225. 39:58know they in theory had a common enemy
  1226. 40:00which is the west so
  1227. 40:02made total sense and in terms of
  1228. 40:04negotiations and the way things were
  1229. 40:06communicated
  1230. 40:07it um it seemed to stalin that for sure
  1231. 40:11that
  1232. 40:12they would remain at least for a while
  1233. 40:15uh peaceful collaborators and uh that
  1234. 40:18uh and everybody everybody because of
  1235. 40:20that in the soviet union believed that
  1236. 40:22it was a huge shock when kiev was
  1237. 40:25invaded and you hear echoes of that when
  1238. 40:27i traveled to ukraine sort of the shock
  1239. 40:29of
  1240. 40:30the invasion
  1241. 40:32it's not just the invasion on one
  1242. 40:33particular border but the invasion of
  1243. 40:35the capital city and just like holy
  1244. 40:39especially at that time
  1245. 40:41when you thought world war one
  1246. 40:44you realized that that was the war that
  1247. 40:45to end all wars you would never have
  1248. 40:47this kind of war
  1249. 40:48and holy this this person is mad
  1250. 40:51enough to try to take on this monster in
  1251. 40:54the soviet union
  1252. 40:55uh so it's not no longer going to be a
  1253. 40:57war of hundreds of thousands dead it'll
  1254. 40:59be a war of tens of millions dead and um
  1255. 41:03yeah but that
  1256. 41:05like you know that's a very large scale
  1257. 41:07kind of lie but i'm sure there's in
  1258. 41:09politics and geopolitics that kind of
  1259. 41:11lying happening all the time
  1260. 41:14uh and a lot of people pay financially
  1261. 41:17and with their lives for that kind of
  1262. 41:18lying but in our personal lives i don't
  1263. 41:20know how often we
  1264. 41:21uh maybe we i think people do i mean
  1265. 41:23like think of spouses cheating on their
  1266. 41:26partners right and then like having to
  1267. 41:28lie like where were you last night stuff
  1268. 41:29that's tough yeah like that's
  1269. 41:32i think
  1270. 41:33you know i mean unfortunately that stuff
  1271. 41:34happens all the time right so or having
  1272. 41:36like multiple families that one is great
  1273. 41:38when when each family doesn't know the
  1274. 41:40other about the other one and like
  1275. 41:42maintaining that life
  1276. 41:44there's probably a sense of excitement
  1277. 41:45about that
  1278. 41:46too um
  1279. 41:48or it seems unnecessary yeah but why
  1280. 41:51well just lying like like you know
  1281. 41:54the truth finds a way of coming out you
  1282. 41:56know yes but hence that's the thrill
  1283. 41:59yeah perhaps yeah people i mean and
  1284. 42:02you know that's that's why i think
  1285. 42:03actually like poker what what's so
  1286. 42:04interesting about poker is
  1287. 42:07most of the best players i know they're
  1288. 42:09always exceptions you know they're
  1289. 42:10always bad eggs
  1290. 42:12but actually poker players are very
  1291. 42:14honest people i would say they are more
  1292. 42:16honest than the average you know if you
  1293. 42:17just took random
  1294. 42:19uh random population example um because
  1295. 42:24a you know i think you know humans like
  1296. 42:26to have that
  1297. 42:28most people like to have some kind of
  1298. 42:30you know mysterious you know an
  1299. 42:31opportunity to do something like a
  1300. 42:32little edgy
  1301. 42:34so we get to sort of scratch that itch
  1302. 42:36of being edgy at the poker table where
  1303. 42:38it's like it's part of the game everyone
  1304. 42:40knows everyone knows what they're in for
  1305. 42:42and that's allowed and you get to like
  1306. 42:43really get that out of your system
  1307. 42:46um
  1308. 42:47and then also like
  1309. 42:49poker players learned that you know i'll
  1310. 42:51you know i would play in a huge game
  1311. 42:54against some of my friends even my
  1312. 42:55partner igor where we will be you know
  1313. 42:57absolutely going at each other's throats
  1314. 42:59trying to draw blood in terms of winning
  1315. 43:01each money off each other and like
  1316. 43:02getting under each other's skin winding
  1317. 43:04each other up
  1318. 43:05um doing the craftiest moves we can
  1319. 43:08but then once the game's done
  1320. 43:10the you know the winners and the losers
  1321. 43:11will go off and get a drink together and
  1322. 43:13have a fun time and like talk about it
  1323. 43:15in this like weird academic way
  1324. 43:16afterwards because that and that's why
  1325. 43:18games are so great because you get to
  1326. 43:19like live out
  1327. 43:21our like this competitive urge that you
  1328. 43:24know most people have what's it feel
  1329. 43:26like to lose
  1330. 43:28like we talked about bluffing when it
  1331. 43:30worked out
  1332. 43:31what about when you
  1333. 43:33when you go broke
  1334. 43:35so like in a game i i'm you know
  1335. 43:36unfortunately i've never gone broke um
  1336. 43:41um i know plenty of people who have um
  1337. 43:45uh
  1338. 43:46and i don't think eagle would mind me
  1339. 43:47saying he went you know he went broke
  1340. 43:48once in pokeball you know early on when
  1341. 43:50we were together i feel like you haven't
  1342. 43:52lived unless you've gone broke oh yeah i
  1343. 43:55i in some sense right well i i i mean
  1344. 43:58i'm happy i i've sort of lived through
  1345. 43:59it vicariously through him when he did
  1346. 44:01it at the time
  1347. 44:02but yeah what is it like to lose well it
  1348. 44:04depends so it depends on the amount it
  1349. 44:06depends what percentage of your net
  1350. 44:07worth you've just lost
  1351. 44:08um
  1352. 44:09it depends on your brain chemistry it
  1353. 44:11really you know varies from person to
  1354. 44:12person you have a very cold calculating
  1355. 44:14way of thinking about this uh so it
  1356. 44:16depends what percentage
  1357. 44:18well it really does right yes
  1358. 44:21but that's i mean
  1359. 44:22that's another thing poker trains you to
  1360. 44:24do you see you you see everything in
  1361. 44:26percentages um or you see everything in
  1362. 44:28like roi or expected hourlies or cost
  1363. 44:30benefit etc you know so
  1364. 44:33um
  1365. 44:34that's
  1366. 44:35i i one of the things i've tried to do
  1367. 44:37is calibrate the strength of my
  1368. 44:38emotional response to the to the win or
  1369. 44:41loss that i've
  1370. 44:42received
  1371. 44:43because it's it's no good if you like
  1372. 44:45you know you have a huge emotional
  1373. 44:47dramatic response to a tiny loss um or
  1374. 44:50on the flip side you have a huge win and
  1375. 44:53you're so dead inside that you don't
  1376. 44:54even feel it well that's you know that's
  1377. 44:56a shame i want my emotions to calibrate
  1378. 44:59with reality as much as possible
  1379. 45:01um
  1380. 45:02so yeah what's it like to lose i mean
  1381. 45:04i've had times where i've
  1382. 45:06lost you know busted out of a tournament
  1383. 45:08i thought i was going to win in is you
  1384. 45:09know especially if i got really unlucky
  1385. 45:10or um or i make a dumb play uh where
  1386. 45:14i've gone away and like you know kicked
  1387. 45:16kicked the wall
  1388. 45:17punched a wall i like nearly broke my
  1389. 45:18hand one time like
  1390. 45:20um i'm a lot less competitive than i
  1391. 45:22used to be like i was like
  1392. 45:25pathologically competitive in my like
  1393. 45:27late teens early 20s i just had to win
  1394. 45:29everything um and i think that's sort of
  1395. 45:31slowly waned as i've gotten older
  1396. 45:33according to you yeah according to me i
  1397. 45:35i don't know if others would say the
  1398. 45:36same right um i feel like ultra
  1399. 45:39competitive people
  1400. 45:40like i've heard joe rogan say this to me
  1401. 45:42it's like i think he's a lot less
  1402. 45:44competitive than he used to be i don't
  1403. 45:45know about that
  1404. 45:47oh i believe it no i totally believe it
  1405. 45:49like
  1406. 45:49because as you get you can still be like
  1407. 45:51i care about winning like when you know
  1408. 45:54i play a game with my buddies online or
  1409. 45:56you know whatever it is polytopia is my
  1410. 45:58current obsession like why not thank you
  1411. 46:00for passing on your obsession to me are
  1412. 46:02you playing now yeah i'm playing now we
  1413. 46:04gotta have a game but i'm terrible and i
  1414. 46:06enjoy playing terribly i don't want to
  1415. 46:08have a game because that's gonna pull me
  1416. 46:09into your monster of of like uh
  1417. 46:12competitive play it's important
  1418. 46:15i'm enjoying playing on the
  1419. 46:17i can't
  1420. 46:18you just do that you just do the points
  1421. 46:19thing you know against the bots yeah
  1422. 46:21against the bots and i can't even do the
  1423. 46:23uh uh there's like a hard one and
  1424. 46:26there's a very crazy yeah that's crazy i
  1425. 46:28can't i don't even enjoy the hard one
  1426. 46:29the crazy i really don't enjoy because
  1427. 46:32it's intense you have to constantly try
  1428. 46:34to win as opposed to enjoy building a
  1429. 46:36little world and
  1430. 46:37yeah no no there's no time for
  1431. 46:38exploration in polytopia you gotta get
  1432. 46:40well when once you graduate from the
  1433. 46:42crazies then you can come play the
  1434. 46:44graduate from the crazy yeah so in order
  1435. 46:47to be able to play a decent game against
  1436. 46:48like
  1437. 46:49you know our group um you'll need to be
  1438. 46:53you'll need to be consistently winning
  1439. 46:55like 90 of games against 15 crazy bots
  1440. 46:58yeah and you'll be able to like there'll
  1441. 47:00be i could i could teach you it within a
  1442. 47:01day honestly um how how to be the
  1443. 47:04crazies how to be the crazies and then
  1444. 47:06and then you'll be ready for the big
  1445. 47:07leagues generalizes uh to more than just
  1446. 47:10polotopia but okay uh why were we
  1447. 47:12talking about polytopia losing hurts
  1448. 47:15losing hers oh yeah yes competitiveness
  1449. 47:18over time um oh yeah
  1450. 47:20i think it's more that at least for me
  1451. 47:23i still care about playing about winning
  1452. 47:25when i choose to play something it's
  1453. 47:26just that i don't see the world as
  1454. 47:29zero-sum as i used to be you know
  1455. 47:31um i think as you one gets older and
  1456. 47:33wiser
  1457. 47:34you start to see the world more as a
  1458. 47:36positive something or at least you're
  1459. 47:38more aware of externalities
  1460. 47:40of of scenarios of competitive
  1461. 47:42interactions
  1462. 47:43um and so
  1463. 47:45yeah i just like i'm more and i'm more
  1464. 47:47aware of my own you know like
  1465. 47:50if i have a really strong emotional
  1466. 47:51response to losing and that makes me
  1467. 47:53then feel shitty for the rest of the day
  1468. 47:54and then i beat myself up mentally for
  1469. 47:56it like i'm now more aware that that
  1470. 47:58that's unnecessary negative externality
  1471. 48:01so i'm like okay i need to find a way to
  1472. 48:03turn this down you know dial this down a
  1473. 48:04bit was poker the thing that has if you
  1474. 48:07think back at your life
  1475. 48:09and think about some of the lower points
  1476. 48:11of your life like the darker places
  1477. 48:13you've gone in your mind did it have to
  1478. 48:15do something with poker
  1479. 48:16like what did losing spark
  1480. 48:19the
  1481. 48:21um the descent into darkness or was it
  1482. 48:23something else um
  1483. 48:27i think my darkest points in poker were
  1484. 48:29when
  1485. 48:30i was wanting to quit and move on to
  1486. 48:32other things but i felt like i hadn't
  1487. 48:37ticked all the boxes i wanted to tick
  1488. 48:39yeah like i wanted to be the most
  1489. 48:41winningest
  1490. 48:42female player which is by itself a bad
  1491. 48:44goal um you know that was one of my
  1492. 48:47initial goals and i was like well i
  1493. 48:48haven't you know and i wanted to win a
  1494. 48:49wpt event i won one of these i won one
  1495. 48:51of these but i want one of those as well
  1496. 48:53and
  1497. 48:54that
  1498. 48:56sort of again like it's a drive of like
  1499. 48:58over optimization to random metrics that
  1500. 49:00i decided were important um without much
  1501. 49:02wisdom at the time but then like carried
  1502. 49:04on um
  1503. 49:06that made me continue chasing it longer
  1504. 49:09than i still actually had the passion to
  1505. 49:11chase it for
  1506. 49:12and i don't i don't have any regrets
  1507. 49:15that you know i played for as long as i
  1508. 49:16did because who knows you know i
  1509. 49:18wouldn't be sitting here i wouldn't be
  1510. 49:19living this incredible life that i'm
  1511. 49:21living now um this is this is the height
  1512. 49:23of your life right now this is it
  1513. 49:25experience
  1514. 49:26absolute pinnacle
  1515. 49:28here in your in your robot land yeah
  1516. 49:31yeah
  1517. 49:32with your creepy light
  1518. 49:34no it is i mean i i wouldn't change a
  1519. 49:37thing about my life right now and i feel
  1520. 49:38very blessed to say that um
  1521. 49:40so but
  1522. 49:42the dark times were in sort of like
  1523. 49:452016 to 18 even sooner really where i
  1524. 49:49was like
  1525. 49:50i had stopped loving the game
  1526. 49:52and i was going through the motions
  1527. 49:55and
  1528. 49:56i would that and and then i was like you
  1529. 49:59know i would take the losses harder than
  1530. 50:00i needed to yeah because i'm like oh
  1531. 50:02it's another one and it was i was aware
  1532. 50:04that like i felt like my life was
  1533. 50:05ticking away and i was like is this
  1534. 50:06going to be what's on my tombstone oh
  1535. 50:08yeah she played the game of you know
  1536. 50:09this zero-sum game of poker
  1537. 50:11slightly more optimally than her next
  1538. 50:13opponent
  1539. 50:14like cool great legacy you know so
  1540. 50:18i just wanted you know there was
  1541. 50:19something in me that knew i needed to be
  1542. 50:20doing something
  1543. 50:21more
  1544. 50:22directly impactful um and just
  1545. 50:24meaningful it was like a search for
  1546. 50:25meaning and i think it's a thing a lot
  1547. 50:26of poker players even a lot of i imagine
  1548. 50:29any
  1549. 50:30games players who
  1550. 50:31sort of
  1551. 50:32love intellectual pursuits
  1552. 50:34um
  1553. 50:35you know i think you should ask magnus
  1554. 50:37carlsen this question yeah walking away
  1555. 50:38from chess right yeah like it must be so
  1556. 50:40hard for him you know he's been on the
  1557. 50:42top for so long
  1558. 50:43and it's like well now what he's got
  1559. 50:45this incredible brain like
  1560. 50:47what to put it to
  1561. 50:48um
  1562. 50:49and
  1563. 50:51yeah it's it's this weird uh moment
  1564. 50:53where i just spoken with people that won
  1565. 50:55multiple gold medals at the olympics
  1566. 50:58and the depression hits hard after you
  1567. 51:00win
  1568. 51:02doesn't mean crash
  1569. 51:04because it's a kind of a goodbye saying
  1570. 51:05goodbye to that person to all the dreams
  1571. 51:07you had the thought
  1572. 51:09you thought would give meaning to your
  1573. 51:11life but in fact
  1574. 51:13life is full of constant pursuits of
  1575. 51:16meaning it doesn't you don't like arrive
  1576. 51:19and figure it all out and there's
  1577. 51:20endless bliss now it continues going on
  1578. 51:23and on you constantly have to figure out
  1579. 51:25to rediscover yourself and so for you
  1580. 51:28like that struggle to say goodbye to
  1581. 51:30poker
  1582. 51:31you have to like find the next there's
  1583. 51:33always a bigger game that's the thing
  1584. 51:35that's my like motto is like what's the
  1585. 51:37next game and
  1586. 51:39more importantly
  1587. 51:41because obviously game usually implies
  1588. 51:42zero sum like what
  1589. 51:44what's the game which is like omni win
  1590. 51:46look what you win how many went when why
  1591. 51:48is so so important
  1592. 51:50because
  1593. 51:52if everyone plays zero sum games that's
  1594. 51:54a fast track to either completely
  1595. 51:56stagnate as a civilization but more
  1596. 51:58actually far more likely to extinct
  1597. 52:00ourselves
  1598. 52:01um you know like the playing field is
  1599. 52:03finite
  1600. 52:04yeah
  1601. 52:06you know nuclear powers are playing uh
  1602. 52:09you know a game of poker with uh with
  1603. 52:11you know but their chips are nuclear
  1604. 52:13weapons right
  1605. 52:14and
  1606. 52:15the stakes have gotten so large that if
  1607. 52:17anyone makes a single bet you know fires
  1608. 52:19some weapons the the playing field
  1609. 52:21breaks i made a video on this like
  1610. 52:23you know the the the fight the playing
  1611. 52:25field is finite and if we keep playing
  1612. 52:27these adversarial
  1613. 52:29zero-sum games
  1614. 52:31uh thinking that we you know
  1615. 52:33in order for us to win someone else has
  1616. 52:34to lose or if we lose that you know
  1617. 52:36someone else wins that that will extinct
  1618. 52:39us
  1619. 52:39it's just a matter of when what do you
  1620. 52:41think about that uh mutually sure
  1621. 52:43destruction
  1622. 52:44that very simple almost to the point of
  1623. 52:47caricaturing game theory idea that does
  1624. 52:50seem to be
  1625. 52:51at the core of why we haven't blown each
  1626. 52:53other up yet with nuclear weapons
  1627. 52:55do you think there's some truth to that
  1628. 52:57this kind of
  1629. 52:58stabilizing force of mutually sure
  1630. 53:00destruction and do you think that's
  1631. 53:02gonna
  1632. 53:03hold up
  1633. 53:04through the 21st century
  1634. 53:07i mean it's it has it has held yes
  1635. 53:10there's there's definitely truth to it
  1636. 53:11that it was a
  1637. 53:13you know it's a nash equilibrium yeah
  1638. 53:14are you surprised it held this long um
  1639. 53:17isn't crazy
  1640. 53:18it is crazy when you factor in all the
  1641. 53:20like
  1642. 53:21near-miss accidental firings
  1643. 53:24yes that's
  1644. 53:26makes me wonder like you know you know
  1645. 53:27they're familiar with the like quantum
  1646. 53:29suicide thought experiment where it's
  1647. 53:31basically like
  1648. 53:32uh you have a
  1649. 53:34you know like a russian roulette
  1650. 53:36type scenario uh
  1651. 53:38hooked up to some kind of quantum event
  1652. 53:40you know
  1653. 53:42particle splitting um or paraparticle
  1654. 53:45splitting and
  1655. 53:46if it you know if it goes a then the gun
  1656. 53:49doesn't go off and it goes b then it
  1657. 53:50does go off and it kills you
  1658. 53:52because you can only ever be in the
  1659. 53:54universe know assuming like the everett
  1660. 53:56branch you know multiverse theory you
  1661. 53:57will always only end up in the in the
  1662. 53:59branch where you continually make you
  1663. 54:01know option a comes in but you run that
  1664. 54:04experiment enough times it starts
  1665. 54:05getting pretty damn you know out of the
  1666. 54:07the tree gets huge there's a million
  1667. 54:09different scenarios in but you'll always
  1668. 54:11find yourself in this in the one where
  1669. 54:13it didn't go off
  1670. 54:14and
  1671. 54:15uh
  1672. 54:16and so from that perspective
  1673. 54:18you are essentially immortal
  1674. 54:20because someone and you will only find
  1675. 54:22yourself in the set of observers that
  1676. 54:23make it down that path yeah so it's it's
  1677. 54:26it's that doesn't mean
  1678. 54:28it doesn't
  1679. 54:29it just doesn't mean you're you're still
  1680. 54:31not going to be at some point in
  1681. 54:32your life
  1682. 54:33no i'm not i'm not advocating like that
  1683. 54:35we're all immortal because of this it's
  1684. 54:36just like a fun thought experiment and
  1685. 54:38the point is it like raises this thing
  1686. 54:40of like these things called uh observer
  1687. 54:41selection effects which bostrom nick
  1688. 54:43bostrom talks about a lot and i think
  1689. 54:44people should go read um it's really
  1690. 54:46powerful but i think it could be
  1691. 54:47overextended that logic i'm not sure
  1692. 54:50exactly how it can be i just feel like
  1693. 54:54you can get you can um overgeneralize
  1694. 54:57that logic somehow well no i mean it
  1695. 54:58leads you into like solipsism which is a
  1696. 55:00very dangerous mindset again if everyone
  1697. 55:02like falls into solipsism of like well
  1698. 55:04i'll be fine
  1699. 55:05that's a great way of creating a very
  1700. 55:07you know
  1701. 55:08self-terminating environment um but my
  1702. 55:11point is is that with the nuclear
  1703. 55:12weapons thing um there have been at
  1704. 55:15least i think it's 12 or 11 um
  1705. 55:18near-misses were of like just stupid
  1706. 55:20things like
  1707. 55:21uh there was moon rise over norway and
  1708. 55:24it made weird reflections off some
  1709. 55:26glaciers in the mountains which set off
  1710. 55:28i think the alarms of norad
  1711. 55:32norad radar and that put them on high
  1712. 55:34alert nearly ready to shoot and it was
  1713. 55:35only because um
  1714. 55:37the head of the russian military
  1715. 55:39happened to be at the u.n in new york at
  1716. 55:41the time that they go like well wait a
  1717. 55:42second why would
  1718. 55:44why would they fire now when their guy
  1719. 55:46is there it was only that lucky
  1720. 55:48happenstance which doesn't happen very
  1721. 55:49often where they didn't then escalate
  1722. 55:51into firing and there's a bunch of these
  1723. 55:53different ones stanislav petrov like
  1724. 55:54saved
  1725. 55:55the person who should be the most famous
  1726. 55:57person on earth because he's probably on
  1727. 55:58expectation saved the most human lives
  1728. 56:00of anyone like billions of people by
  1729. 56:03ignoring russian orders to fire because
  1730. 56:05he felt in his gut that actually this
  1731. 56:06was a false alarm and it turned out to
  1732. 56:08be you know very hard thing to do um and
  1733. 56:11there's so many of those scenarios that
  1734. 56:12i can't help but wonder at this point
  1735. 56:14that we aren't having this kind of like
  1736. 56:16selection effect thing going on because
  1737. 56:17you look back and you're like geez
  1738. 56:19that's a lot of near misses but of
  1739. 56:21course we don't know the actual
  1740. 56:22probabilities that they would have lent
  1741. 56:23each one would have ended up in nuclear
  1742. 56:24war maybe they were not that likely but
  1743. 56:26still the point is it's a very dark
  1744. 56:28stupid game that we're playing um and
  1745. 56:31it is
  1746. 56:33an absolute moral imperative if you ask
  1747. 56:35me to get as many people thinking about
  1748. 56:36ways to make this like very precarious
  1749. 56:39because we're in a nash equilibrium but
  1750. 56:41it's not like we're in the bottom of a
  1751. 56:42pit you know if you would like map it
  1752. 56:44topographically um it's not like a
  1753. 56:46stable ball at the bottom of a thing
  1754. 56:48we're not an equilibrium because that
  1755. 56:49we're on the top of a hill with a ball
  1756. 56:51balanced on top and just any little
  1757. 56:53nudge could send it flying down and you
  1758. 56:56know nuclear war pops off and hellfire
  1759. 56:57and bad times
  1760. 57:00on the positive side life on earth will
  1761. 57:01probably still continue and another
  1762. 57:03intelligent civilization might still pop
  1763. 57:05up maybe several yeah
  1764. 57:07depend pick your x-risk depends on the
  1765. 57:09x-risk nuclear war sure that's one of
  1766. 57:11the perhaps less bad ones uh
  1767. 57:14green goo through synthetic biology very
  1768. 57:16bad
  1769. 57:17will turn
  1770. 57:18you know destroy all
  1771. 57:20uh
  1772. 57:22organic matter
  1773. 57:24uh
  1774. 57:25through you know it's basically like a
  1775. 57:26biological uh paperclip maximizer also
  1776. 57:28bad or ai
  1777. 57:30type you know mass extinction thing as
  1778. 57:32well would also be shhh they're
  1779. 57:33listening
  1780. 57:35there's a robot right behind you okay
  1781. 57:36wait uh so well let me ask you about
  1782. 57:38this from a game theory perspective do
  1783. 57:40you think we're living in a simulation
  1784. 57:42do you think we're listening living
  1785. 57:43inside a video game created by somebody
  1786. 57:45else
  1787. 57:47well i think well so
  1788. 57:49what was the second part of the question
  1789. 57:50do i think we're living in a simulation
  1790. 57:51and
  1791. 57:52a simulation
  1792. 57:54that is observed by somebody for purpose
  1793. 57:57of entertainment so like a video game
  1794. 57:59are we listening how we be because
  1795. 58:02there's a cree it's like phil hellmuth
  1796. 58:03type of situation right like
  1797. 58:06um
  1798. 58:07there's a creepy level of like
  1799. 58:09this is kind of fun and interesting
  1800. 58:13like there's a lot of interesting stuff
  1801. 58:15going on i mean that could be somehow
  1802. 58:18integrated into the evolutionary process
  1803. 58:20where
  1804. 58:21in
  1805. 58:22the way we perceive and are you asking
  1806. 58:24me if i believe in god
  1807. 58:26um sounds like it
  1808. 58:28kind of but god seems to be
  1809. 58:31not optimizing
  1810. 58:33uh in the different formulations of god
  1811. 58:35that we conceivo he doesn't seem to be
  1812. 58:38or she optimizing for uh like personal
  1813. 58:41entertainment
  1814. 58:43or maybe the older gods did but the the
  1815. 58:46the
  1816. 58:47you know just like
  1817. 58:48basically like a teenager in in their
  1818. 58:50mom's basement
  1819. 58:51watching create a fun right universe to
  1820. 58:54observe
  1821. 58:55so what kind of crazy might happen
  1822. 58:58okay so to try and ask this um
  1823. 59:02do i think there is some kind of
  1824. 59:08ex
  1825. 59:09extraneous intelligence to like our
  1826. 59:13you know
  1827. 59:14classic measurable universe that we you
  1828. 59:16know can measure with convent you know
  1829. 59:18through our current physics and uh
  1830. 59:21uh
  1831. 59:22instruments
  1832. 59:23i think so yes
  1833. 59:25um
  1834. 59:26partly because i've had just small
  1835. 59:28little bits of
  1836. 59:30evidence in my own ex in my own life
  1837. 59:32which have made me question like so i
  1838. 59:34was a die-hard atheist
  1839. 59:36um even five years ago uh
  1840. 59:39you know i got into like the rationality
  1841. 59:40community big fan of les wrong uh
  1842. 59:43continued to be incredible uh resource
  1843. 59:46um but i've just started to have
  1844. 59:49too many little
  1845. 59:51[Applause]
  1846. 59:53snippets of experience which
  1847. 59:57don't make sense with the current sort
  1848. 59:58of purely materialistic
  1849. 1:00:01um
  1850. 1:00:04explanation
  1851. 1:00:05of how reality works
  1852. 1:00:07um
  1853. 1:00:09isn't that just like a humbling
  1854. 1:00:12practical realization that we don't know
  1855. 1:00:15how reality works
  1856. 1:00:17isn't that just a reminder to yourself
  1857. 1:00:19yeah no it's a reminder of epistemic
  1858. 1:00:20humility because i fell too hard you
  1859. 1:00:23know same same as people like i think
  1860. 1:00:25you know many people who are just like
  1861. 1:00:26my religion is the way this is the
  1862. 1:00:27correct way this is the work this is the
  1863. 1:00:29law um you are immoral if you don't
  1864. 1:00:31follow this blah blah i think they
  1865. 1:00:33are lacking epistemic humility they're a
  1866. 1:00:35little too too much hubris there but
  1867. 1:00:37similarly i think the sort of the
  1868. 1:00:38richard dawkins brand of atheism
  1869. 1:00:41is too
  1870. 1:00:43is too rigid as well and doesn't
  1871. 1:00:47you know there's a way to try and
  1872. 1:00:49navigate these questions which still
  1873. 1:00:51honors the scientific method which i
  1874. 1:00:52still think is our best sort of realm of
  1875. 1:00:54like reasonable inquiry you know a
  1876. 1:00:56method of inquiry um
  1877. 1:00:58so an example um
  1878. 1:01:01i've two kind of notable examples that
  1879. 1:01:03like really rattled my my uh my cage uh
  1880. 1:01:06the first one was actually in 2010 early
  1881. 1:01:08on in um
  1882. 1:01:11uh quite early on in my poker career and
  1883. 1:01:14i
  1884. 1:01:16the the the uh the remember the
  1885. 1:01:18icelandic volcano that erupted that like
  1886. 1:01:19shut down kind of all atlantic airspace
  1887. 1:01:22um and i meant i got stuck down in the
  1888. 1:01:24south of france i was there for
  1889. 1:01:25something else um
  1890. 1:01:27and
  1891. 1:01:28i i couldn't get home and someone said
  1892. 1:01:29well there's a big poke tournament
  1893. 1:01:30happening in italy maybe do you want to
  1894. 1:01:32go i was like oh right sure like let's
  1895. 1:01:34you know got a train across found a way
  1896. 1:01:36to get there um and the buy-in was 5 000
  1897. 1:01:39euros which was much bigger than my
  1898. 1:01:41bankroll would normally allow and so i
  1899. 1:01:43uh
  1900. 1:01:44played a feeder tournament won my way in
  1901. 1:01:46kind of like i did with the monte carlo
  1902. 1:01:47big one um
  1903. 1:01:49uh so then i won my you know from 500
  1904. 1:01:51euros into 5 000 euros to play this
  1905. 1:01:52thing
  1906. 1:01:54and
  1907. 1:01:55on day one of them the big tournament
  1908. 1:01:57which turned out to have it was the
  1909. 1:01:59biggest tournament ever held in europe
  1910. 1:02:00at the time it got over like 1 200
  1911. 1:02:02people absolutely huge and i remember
  1912. 1:02:04they dimmed the lights uh for
  1913. 1:02:07before you know the normal shuffle up
  1914. 1:02:09and deal uh to tell everyone to start
  1915. 1:02:11playing
  1916. 1:02:12and they played uh
  1917. 1:02:13chemical brothers hey boy hey girl um
  1918. 1:02:15which i don't know why it's notable but
  1919. 1:02:17it was just like a really it was a song
  1920. 1:02:18i always liked it was like one of these
  1921. 1:02:19like pump me up songs and i was sitting
  1922. 1:02:21there thinking oh yeah it's exciting i'm
  1923. 1:02:22playing this really big tournament
  1924. 1:02:24and out of nowhere just suddenly this
  1925. 1:02:27voice in my head
  1926. 1:02:29just it sounded like my own sort of
  1927. 1:02:31you know when you say you think in your
  1928. 1:02:33mind you hear a voice kind of right at
  1929. 1:02:34least i do um
  1930. 1:02:36and so it sounded like my own voice and
  1931. 1:02:38it said you were going to win this
  1932. 1:02:39tournament
  1933. 1:02:41and it was so powerful that i got this
  1934. 1:02:42like wave of like
  1935. 1:02:44you know
  1936. 1:02:44sort of goosebumps down my body and i
  1937. 1:02:46even i remember looking around being
  1938. 1:02:48like did anyone else hear that and
  1939. 1:02:49obviously people are in their phones
  1940. 1:02:50like no one else heard and i was like
  1941. 1:02:52okay
  1942. 1:02:54six days later
  1943. 1:02:56i win the tournament out of 1
  1944. 1:02:58200 people
  1945. 1:03:01and
  1946. 1:03:04i i
  1947. 1:03:05i don't know how to explain it
  1948. 1:03:08um okay yes
  1949. 1:03:09but maybe
  1950. 1:03:11i
  1951. 1:03:12have that feeling it before every time i
  1952. 1:03:14play and it's just that i happen to you
  1953. 1:03:15know because i won the tournament i
  1954. 1:03:17retroactively remembered it but or the
  1955. 1:03:19or the feeling
  1956. 1:03:21gave you a kind of now from the film
  1957. 1:03:23hellmuthian well exactly like it gave
  1958. 1:03:26you a confident a deep confidence and it
  1959. 1:03:28did it definitely did like i remember
  1960. 1:03:30then feeling this like sort of well
  1961. 1:03:32although i remember then on day one i
  1962. 1:03:33then went and lost half my stack quite
  1963. 1:03:35early on and i remember thinking like
  1964. 1:03:36well that was you know
  1965. 1:03:38what kind of premonition is this yes
  1966. 1:03:40thinking i'm out but you know i managed
  1967. 1:03:41to like keep it together and recover and
  1968. 1:03:43then and then just went like pretty
  1969. 1:03:45perfectly from then on
  1970. 1:03:47and
  1971. 1:03:49either way it definitely instilled me
  1972. 1:03:50with this confidence
  1973. 1:03:52and i don't want to put a i don't i
  1974. 1:03:54can't put an explanation like you know
  1975. 1:03:56was it some you know huge
  1976. 1:04:00extra extra you know supernatural thing
  1977. 1:04:02driving me
  1978. 1:04:03or was it just my own self-confidence in
  1979. 1:04:06someone that just made me make the right
  1980. 1:04:07decisions i don't know and i don't i'm
  1981. 1:04:09not going to put a frame on it and i i
  1982. 1:04:11think i know a good explanation so we're
  1983. 1:04:12a bunch of npcs living in this world
  1984. 1:04:14created by in the simulation and then
  1985. 1:04:17people uh uh not people creatures from
  1986. 1:04:19outside of the simulation
  1987. 1:04:21uh sort of can tune in and play your
  1988. 1:04:23character and that feeling you got is
  1989. 1:04:25somebody just like
  1990. 1:04:27they got to play a poker tournament
  1991. 1:04:28through you honestly it felt like that
  1992. 1:04:30it did actually feel a little bit like
  1993. 1:04:32that
  1994. 1:04:33but it's been 12 years now i've retold
  1995. 1:04:35the story many times like i don't even
  1996. 1:04:37know how much i can trust my memory
  1997. 1:04:38you're just an npc we're telling the
  1998. 1:04:40same story this because they just played
  1999. 1:04:42the tournament and left
  2000. 1:04:43yeah they're like oh that was fun cool
  2001. 1:04:44yeah cool next time um
  2002. 1:04:46and now you're for the rest of your life
  2003. 1:04:48left as a boring npc retelling this is
  2004. 1:04:51greatness but it was and what was
  2005. 1:04:52interesting was that after that then i
  2006. 1:04:53didn't obviously win a major tournament
  2007. 1:04:55for quite a long time and
  2008. 1:04:58it left that was that was actually
  2009. 1:05:00another sort of dark period because i
  2010. 1:05:01had this incredible like the highs of
  2011. 1:05:03winning that you know just on a like
  2012. 1:05:04material level were insane winning the
  2013. 1:05:06money i was on the front page of
  2014. 1:05:07newspapers because there was like this
  2015. 1:05:09girl that came out of nowhere and won
  2016. 1:05:10this big thing um
  2017. 1:05:12and so again like sort of chasing that
  2018. 1:05:13feeling
  2019. 1:05:14was was difficult um but then on top of
  2020. 1:05:17that there was this feeling of like
  2021. 1:05:19almost being touched by something
  2022. 1:05:21bigger that was like uh
  2023. 1:05:23uh so maybe did you have a sense
  2024. 1:05:26that i might be somebody special
  2025. 1:05:29like
  2026. 1:05:30the this kind of
  2027. 1:05:33i i think that's the confidence thing
  2028. 1:05:36that uh
  2029. 1:05:38maybe you could do something special in
  2030. 1:05:40this world after all kind of feeling i i
  2031. 1:05:42definitely i mean
  2032. 1:05:44this is a thing i think everybody
  2033. 1:05:45wrestles with to an extent right we all
  2034. 1:05:48we are truly the protagonists in our own
  2035. 1:05:50lives
  2036. 1:05:51and so it's a natural bias human bias to
  2037. 1:05:56feel
  2038. 1:05:57to feel special and i think and in some
  2039. 1:05:59ways we are special every single person
  2040. 1:06:01is special because that you are that
  2041. 1:06:03the universe does the world literally
  2042. 1:06:05does revolve around you that's the thing
  2043. 1:06:06in in some respect but
  2044. 1:06:09of course if you then zoom out and take
  2045. 1:06:10the amalgam of everyone's experiences
  2046. 1:06:12then no it doesn't so there is this
  2047. 1:06:13shared sort of objective reality but
  2048. 1:06:15sorry this objective reality that is
  2049. 1:06:17shared but then there's also this
  2050. 1:06:18subject of reality which is truly unique
  2051. 1:06:20to you and i think both of those things
  2052. 1:06:21coexist and it's not like one is correct
  2053. 1:06:23and one isn't and again anyone who's
  2054. 1:06:25like uh oh no your lived experience is
  2055. 1:06:27everything versus your lived experience
  2056. 1:06:29is nothing no it's it's a blend between
  2057. 1:06:31these two things they can exist
  2058. 1:06:32concurrently but there's a certain kind
  2059. 1:06:34of sense that at least i've had my whole
  2060. 1:06:36life and i think a lot of people have
  2061. 1:06:37this is like well i'm just like this
  2062. 1:06:39little person
  2063. 1:06:41surely i can't be one of those people
  2064. 1:06:42that
  2065. 1:06:43do the big thing right there's all these
  2066. 1:06:47big people doing big things there's
  2067. 1:06:49big actors and actresses big musicians
  2068. 1:06:53there's big uh business owners and all
  2069. 1:06:56that kind of stuff scientists and so on
  2070. 1:06:58i you know i have my own subject
  2071. 1:07:00experience that i enjoy and so on but
  2072. 1:07:02there's like a different layer
  2073. 1:07:04like um
  2074. 1:07:07surely i can't do those great things i
  2075. 1:07:09mean one of the things just having
  2076. 1:07:10interacted with a lot of great people i
  2077. 1:07:13realize no they're like
  2078. 1:07:15just the same the same the same humans
  2079. 1:07:18as me
  2080. 1:07:20and that realization i think is really
  2081. 1:07:21empowering and like for you to remind
  2082. 1:07:23yourself are they what what are they are
  2083. 1:07:26they
  2084. 1:07:26uh well depends on something yeah
  2085. 1:07:30they're like a bag of insecurities and
  2086. 1:07:33yes
  2087. 1:07:34um
  2088. 1:07:36peculiar sort of
  2089. 1:07:39like their own little weirdnesses and so
  2090. 1:07:41on um i i should say also not
  2091. 1:07:47um they have the capacity for brilliance
  2092. 1:07:50but they're not
  2093. 1:07:51generically brilliant like you know we
  2094. 1:07:54tend to say this person or that person
  2095. 1:07:56is brilliant
  2096. 1:07:57but really
  2097. 1:07:59no they're just like sitting there and
  2098. 1:08:01thinking through stuff just like the
  2099. 1:08:03rest of us right i think they're in the
  2100. 1:08:06habit of thinking through stuff
  2101. 1:08:08seriously and they've built up a habit
  2102. 1:08:10of
  2103. 1:08:11not allowing them their mind to get
  2104. 1:08:13trapped in a bunch of and
  2105. 1:08:14minutiae of day-to-day life they really
  2106. 1:08:17think big ideas but those big ideas
  2107. 1:08:21it's like allowing yourself the freedom
  2108. 1:08:23to think big
  2109. 1:08:24to realize that you you you can be one
  2110. 1:08:27that actually solved this particular big
  2111. 1:08:28problem first identify a big problem
  2112. 1:08:30that you care about then like i can
  2113. 1:08:32actually be the one that solves this
  2114. 1:08:33problem
  2115. 1:08:34and like allowing yourself to believe
  2116. 1:08:36that and i think sometimes you do need
  2117. 1:08:38to have like that shock go through your
  2118. 1:08:40body and a voice tells you you're going
  2119. 1:08:41to win this tournament well exactly and
  2120. 1:08:44whether it was
  2121. 1:08:47it's it's this idea of uh useful
  2122. 1:08:49fictions
  2123. 1:08:50so again like going through all like the
  2124. 1:08:52rat the classic rationalist training of
  2125. 1:08:54less wrong where it's like you want your
  2126. 1:08:57map you know the the image you have of
  2127. 1:08:58the world in your head to as
  2128. 1:09:01accurately match up with how the world
  2129. 1:09:03actually is yeah you want the map and
  2130. 1:09:04the territory to perfectly align as you
  2131. 1:09:07know you want it to be
  2132. 1:09:08as an accurate representation as
  2133. 1:09:10possible
  2134. 1:09:11i don't know if i fully subscribe to
  2135. 1:09:13that anymore having now had these
  2136. 1:09:14moments of like
  2137. 1:09:16feeling of something either bigger or
  2138. 1:09:18just actually just being overconfident
  2139. 1:09:20like there's there is value in
  2140. 1:09:21overconfidence sometimes i do if you
  2141. 1:09:23would you know take you know take
  2142. 1:09:28magnus carlsen right
  2143. 1:09:30if he i'm sure from a young age he knew
  2144. 1:09:32he was very talented but i wouldn't be
  2145. 1:09:34surprised if he was also
  2146. 1:09:36had something in him
  2147. 1:09:38to well actually maybe he's a bad
  2148. 1:09:39example because he truly is the world's
  2149. 1:09:41greatest um but someone who is unclear
  2150. 1:09:44whether they were going to be the
  2151. 1:09:44world's greatest but ended up doing
  2152. 1:09:46extremely well because they had this
  2153. 1:09:48innate deep self-confidence this like
  2154. 1:09:50even overblown uh idea of how good their
  2155. 1:09:53relative skill level is that gave them
  2156. 1:09:55the confidence to then pursue this thing
  2157. 1:09:56and they're like
  2158. 1:09:58with the kind of focus and dedication
  2159. 1:10:00that it requires to excel in whatever it
  2160. 1:10:02is you're trying to do you know and so
  2161. 1:10:03there are these useful fictions and
  2162. 1:10:06that's where
  2163. 1:10:08i think i diverge slightly with the
  2164. 1:10:09classic um
  2165. 1:10:11the classic sort of rationalist
  2166. 1:10:12community um
  2167. 1:10:14because
  2168. 1:10:17that's a field that is worth studying um
  2169. 1:10:21of like how the stories we tell what the
  2170. 1:10:23stories we tell to ourselves even if
  2171. 1:10:25they are actually false and even if we
  2172. 1:10:26suspect they might be false um
  2173. 1:10:28how it's better to sort of have that
  2174. 1:10:30like little bit of faith
  2175. 1:10:31um like value in faith i think actually
  2176. 1:10:34and that's partly another thing that's
  2177. 1:10:35like now led me to explore
  2178. 1:10:37um
  2179. 1:10:39you know the concept of god whether you
  2180. 1:10:40want to call it a simulator
  2181. 1:10:42the classic theological thing i think
  2182. 1:10:44we're all like elucidating to the same
  2183. 1:10:46thing now i don't know i'm not saying
  2184. 1:10:47you know because obviously the christian
  2185. 1:10:48god is like you know all benevolent
  2186. 1:10:51um endless love the simulation
  2187. 1:10:54one of at least one of the simulation
  2188. 1:10:56hypothesis is like as you said like a
  2189. 1:10:57teenager in his bedroom who doesn't
  2190. 1:10:58really care doesn't give a how
  2191. 1:11:01about the individuals within there it
  2192. 1:11:02just like
  2193. 1:11:03wants to see how the thing plays out
  2194. 1:11:04because it's curious and it can turn it
  2195. 1:11:06off like that you know
  2196. 1:11:07where on the you know where on the sort
  2197. 1:11:09of psychopathy to benevolent spectrum
  2198. 1:11:11god is i don't know
  2199. 1:11:13um but
  2200. 1:11:15having
  2201. 1:11:17having this having a little bit of faith
  2202. 1:11:20that there is something else out there
  2203. 1:11:21that might be interested in our outcome
  2204. 1:11:24is i think an essential thing actually
  2205. 1:11:26for people to to find a because it
  2206. 1:11:28creates commonality between it's
  2207. 1:11:29something we can all
  2208. 1:11:31share and like it like it is uniquely
  2209. 1:11:33humbling of all of us to an extent it's
  2210. 1:11:35like a like a common objective um but b
  2211. 1:11:38it gives people that little bit of like
  2212. 1:11:40reserve you know when things get really
  2213. 1:11:42dark and i do think things are going to
  2214. 1:11:44get pretty dark over the next few years
  2215. 1:11:46um
  2216. 1:11:47but it gives that like
  2217. 1:11:49to think that there's something out
  2218. 1:11:50there that actually wants our game to
  2219. 1:11:52keep going i keep calling it the game
  2220. 1:11:54you know uh it's a thing c and i like we
  2221. 1:11:56call it the game um
  2222. 1:11:59you and c is aka grimes
  2223. 1:12:02called what the game everything the
  2224. 1:12:04whole thing ever yeah we joke about like
  2225. 1:12:06everything is a game no well the
  2226. 1:12:08universe like what if
  2227. 1:12:11what if it's a game and the goal of the
  2228. 1:12:13game is to figure out like well either
  2229. 1:12:15how to beat it how to get out of it you
  2230. 1:12:16know maybe maybe that maybe this
  2231. 1:12:18universe is an escape room
  2232. 1:12:19like a giant escape room and the goal
  2233. 1:12:22is to figure out
  2234. 1:12:24all the pieces of the puzzle figure out
  2235. 1:12:25how it works
  2236. 1:12:26in order to like unlock this like
  2237. 1:12:28hyper-dimensional key and get out beyond
  2238. 1:12:30what it is that's no but but then so
  2239. 1:12:32you're saying it's like different levels
  2240. 1:12:34and it's like a cage within a cage
  2241. 1:12:35within a cage and never locate one cage
  2242. 1:12:37at a time you figure out how to describe
  2243. 1:12:39that
  2244. 1:12:40um again you level up you know like us
  2245. 1:12:42becoming multi-planetary would be a
  2246. 1:12:43level up or us you know figuring out how
  2247. 1:12:46to upload our consciousnesses to the
  2248. 1:12:47thing that would probably be a leveling
  2249. 1:12:49up or
  2250. 1:12:50spiritually you know humanity becoming
  2251. 1:12:52more combined and and less adversarial
  2252. 1:12:54and and
  2253. 1:12:55uh bloodthirsty and us becoming a little
  2254. 1:12:57bit more enlightened that would be a
  2255. 1:12:59leveling up you know there's many
  2256. 1:13:00different frames to it whether it's
  2257. 1:13:02physical
  2258. 1:13:03you know digital uh or like metaphysical
  2259. 1:13:06levels i think i think level one for
  2260. 1:13:08earth is probably
  2261. 1:13:10the biological evolutionary process
  2262. 1:13:13it's like going from single cell
  2263. 1:13:15organisms to to early humans and maybe
  2264. 1:13:19level two is
  2265. 1:13:21what whatever is happening inside our
  2266. 1:13:22minds and creating ideas and creating
  2267. 1:13:24technologies
  2268. 1:13:26that's like
  2269. 1:13:27evolutionary process of ideas
  2270. 1:13:31and then uh multiplanetary is
  2271. 1:13:33interesting
  2272. 1:13:34is that fundamentally different from
  2273. 1:13:35what we're doing here on earth
  2274. 1:13:37probably because it allows us to like
  2275. 1:13:39exponentially scale
  2276. 1:13:41it
  2277. 1:13:42it delays the malthusian trap right it
  2278. 1:13:46it's a way to
  2279. 1:13:48keep the playing field get
  2280. 1:13:51lot to make the playing field get larger
  2281. 1:13:53so that we can it can accommodate more
  2282. 1:13:54of our stuff more of us
  2283. 1:13:57um and that's a good thing but i don't
  2284. 1:13:58know if it like fully solves this issue
  2285. 1:14:02um of
  2286. 1:14:04uh
  2287. 1:14:05well this thing called molok which we
  2288. 1:14:07haven't talked about yet but um which is
  2289. 1:14:08basically
  2290. 1:14:10i call it the god of unhealthy
  2291. 1:14:12competition yeah let's go let's go to
  2292. 1:14:13mark what's malloc you you did uh a
  2293. 1:14:15great video on malik one aspect of it
  2294. 1:14:18the application of it to
  2295. 1:14:20instagram beauty filters
  2296. 1:14:23very niche uh i wanted to start off
  2297. 1:14:25small um
  2298. 1:14:27so uh
  2299. 1:14:29molok was originally
  2300. 1:14:31um
  2301. 1:14:31[Music]
  2302. 1:14:32coined
  2303. 1:14:34as well so apparently back in the like
  2304. 1:14:37uh
  2305. 1:14:38canaanite times it was to say ancient
  2306. 1:14:40carthaginian i can never say it carthage
  2307. 1:14:42in
  2308. 1:14:43somewhere around like 300 bc or 280 i
  2309. 1:14:46don't know um there was supposedly this
  2310. 1:14:48death cult
  2311. 1:14:49who
  2312. 1:14:51would sacrifice their children to this
  2313. 1:14:53awful demon god thing they called molok
  2314. 1:14:56um in order to get power to win wars so
  2315. 1:14:59really dark horrible things and it was
  2316. 1:15:01literally like about child sacrifice
  2317. 1:15:02whether they actually existed or not we
  2318. 1:15:03don't know but in mythology they they
  2319. 1:15:05did and this god that they worshipped
  2320. 1:15:07was this thing called molok
  2321. 1:15:09and then
  2322. 1:15:10i don't know it seemed like it was kind
  2323. 1:15:11of quiet throughout history um in terms
  2324. 1:15:14of mythology beyond that until um this
  2325. 1:15:17movie metropolis uh in 1927
  2326. 1:15:21talked about um
  2327. 1:15:22this is you you see that there was this
  2328. 1:15:25incredible futuristic city that everyone
  2329. 1:15:27was living great in um but then the
  2330. 1:15:29protagonist goes underground into the
  2331. 1:15:30sewers and sees that the city is run by
  2332. 1:15:32this machine
  2333. 1:15:34and this machine basically would just
  2334. 1:15:35like kill the workers all the time
  2335. 1:15:37because it was just so hard to keep it
  2336. 1:15:39running they were always dying so
  2337. 1:15:40there's all this suffering that was
  2338. 1:15:42required in order to keep the city going
  2339. 1:15:44and then the protagonist has this vision
  2340. 1:15:45that this machine is actually this demon
  2341. 1:15:47moloch so again it's like this sort of
  2342. 1:15:49like mechanistic consumption of of
  2343. 1:15:51humans in order to get more power um and
  2344. 1:15:54then alan ginsberg wrote a poem in the
  2345. 1:15:5760s um which incredible poem called howl
  2346. 1:16:01about this thing molok um
  2347. 1:16:04and a lot of people sort of quite
  2348. 1:16:06understandably take the the
  2349. 1:16:07interpretation of that he's that he's
  2350. 1:16:09talking about capitalism
  2351. 1:16:11um
  2352. 1:16:12but then the bet like the sort of piece
  2353. 1:16:14the resistance that's moved molok into
  2354. 1:16:15this idea of game theory uh was scott
  2355. 1:16:17alexander of slate starcodex
  2356. 1:16:21wrote this incredible one literally i
  2357. 1:16:23think it might be my favorite piece of
  2358. 1:16:24writing of all time it's called
  2359. 1:16:25meditations on molok
  2360. 1:16:27everyone must go read it uh
  2361. 1:16:29and i say codex is a blog it's a blog
  2362. 1:16:32yes we can link to it in the show notes
  2363. 1:16:34or something right um no don't
  2364. 1:16:37i
  2365. 1:16:38yes yes but i i like how you do how how
  2366. 1:16:41you assume um i have a professional
  2367. 1:16:43operation going on here i i i shall try
  2368. 1:16:45to remember
  2369. 1:16:48you're giving the impression of it yeah
  2370. 1:16:50yeah i'll like please if i if i don't
  2371. 1:16:52please somebody in the comments remind
  2372. 1:16:53me i'll also you know if you don't know
  2373. 1:16:55this blog it's one of the
  2374. 1:16:57best blogs ever probably you should
  2375. 1:17:00probably be following it yes
  2376. 1:17:02our blog's still a thing i think they
  2377. 1:17:04it's still a thing yeah he's migrated
  2378. 1:17:06onto sub stack but yeah it's still a
  2379. 1:17:07blog um anyway just like better enough
  2380. 1:17:09things up but i have not yeah i
  2381. 1:17:12hope they don't i hope they don't turn
  2382. 1:17:14moloky
  2383. 1:17:15which will mean something to people when
  2384. 1:17:16we continue
  2385. 1:17:18when they stop interrupting for once
  2386. 1:17:20that's good
  2387. 1:17:21uh so anyway so he writes he writes this
  2388. 1:17:23this piece meditations on molok and
  2389. 1:17:25basically
  2390. 1:17:26he analyzes the poem and he's like okay
  2391. 1:17:28so it seems to be something relating to
  2392. 1:17:30where competition goes wrong
  2393. 1:17:32and
  2394. 1:17:33you know moloch was historically this
  2395. 1:17:35thing of like where people would
  2396. 1:17:37sacrifice
  2397. 1:17:38a thing that they care about in this
  2398. 1:17:40case children their own children uh in
  2399. 1:17:42order to gain power a a competitive
  2400. 1:17:44advantage
  2401. 1:17:45and if you look at
  2402. 1:17:47almost everything that sort of goes
  2403. 1:17:48wrong in our society it's that same
  2404. 1:17:51process
  2405. 1:17:52um so with the instagram beauty filters
  2406. 1:17:55thing um
  2407. 1:17:56you know if you're trying to become a a
  2408. 1:17:59famous
  2409. 1:18:00instagram model
  2410. 1:18:02you are incentivized to post the hottest
  2411. 1:18:04pictures of yourself that you can you
  2412. 1:18:05know you're trying to play that game um
  2413. 1:18:07there's a lot of hot women on instagram
  2414. 1:18:08how do you compete against them you post
  2415. 1:18:10really hot pictures and that's how you
  2416. 1:18:11get more likes
  2417. 1:18:14as technology gets better um you know
  2418. 1:18:16more
  2419. 1:18:17makeup techniques come along um and then
  2420. 1:18:19more recently these beauty filters where
  2421. 1:18:22like at the touch of a button it makes
  2422. 1:18:23your face look absolutely incredible um
  2423. 1:18:25compared to your natural natural natural
  2424. 1:18:28face uh these these technologies come
  2425. 1:18:30along it's everyone is incentivized to
  2426. 1:18:32that short-term strategy um
  2427. 1:18:35but
  2428. 1:18:36over on on net it's bad for everyone
  2429. 1:18:38because now everyone is kind of like
  2430. 1:18:40feeling like they have to use these
  2431. 1:18:41things and these things like they make
  2432. 1:18:42you like the reason why i talked about
  2433. 1:18:43them in this video is because i noticed
  2434. 1:18:44it myself you know like
  2435. 1:18:46i i was trying to grow my instagram for
  2436. 1:18:48a while i've given up on it now but um
  2437. 1:18:50yeah and i noticed these filters how
  2438. 1:18:52good they made me look and i'm like well
  2439. 1:18:55i know that everyone else is kind of
  2440. 1:18:56doing this subscribe who lives instagram
  2441. 1:18:58please don't have to use the filters
  2442. 1:19:01uh post a bunch of yeah
  2443. 1:19:03make make it blow up uh so yeah it's you
  2444. 1:19:07felt the pressure actually exactly these
  2445. 1:19:09short-term incentives to do this like
  2446. 1:19:12this thing that like either sacrifices
  2447. 1:19:13your integrity
  2448. 1:19:15or something else um in order to like
  2449. 1:19:17stay competitive um which on aggregate
  2450. 1:19:21turns like creates this like sort of
  2451. 1:19:23race to the bottom spiral where everyone
  2452. 1:19:25else ends up in a situation which is
  2453. 1:19:26worse off than if they hadn't start you
  2454. 1:19:28know than it were before kind of like if
  2455. 1:19:29um like a
  2456. 1:19:31at a football stadium
  2457. 1:19:33uh like the system is so badly designed
  2458. 1:19:36a competitive system of like everyone's
  2459. 1:19:37sitting and having a view that if
  2460. 1:19:39someone at the very front stands up to
  2461. 1:19:40get an even better view it forces
  2462. 1:19:42everyone else behind to like adopt that
  2463. 1:19:44same strategy just to get to where they
  2464. 1:19:46were before but now everyone's stuck
  2465. 1:19:47standing up like so you need this like
  2466. 1:19:50top down god's eye coordination to make
  2467. 1:19:52it go back to the better state but from
  2468. 1:19:54within the system you can't actually do
  2469. 1:19:55that so that's kind of what this molec
  2470. 1:19:57thing is it's this thing that makes
  2471. 1:19:58people sacrifice uh
  2472. 1:20:01values in order to optimize for the
  2473. 1:20:02winning the game in question the short
  2474. 1:20:04term game but this this molec
  2475. 1:20:08do you can you attribute it to any one
  2476. 1:20:10centralized source or is it an emergent
  2477. 1:20:12phenomena from a large collection of
  2478. 1:20:14people
  2479. 1:20:16exactly that it's it's an emergent
  2480. 1:20:18phenomena it's it's a force of game
  2481. 1:20:20theory
  2482. 1:20:21um it's a force of bad incentives on a
  2483. 1:20:23multi-agent system where you've got more
  2484. 1:20:26you know prisoner's dilemma is
  2485. 1:20:27technically a kind of molecule
  2486. 1:20:29you know system as well but it's just a
  2487. 1:20:30two-player thing but um another word for
  2488. 1:20:33moloka's multi-polar trap
  2489. 1:20:35where basically you just got a lot of
  2490. 1:20:36different people all competing for some
  2491. 1:20:38kind of prize um and
  2492. 1:20:41it would be better if everyone didn't do
  2493. 1:20:43this one shitty strategy but because
  2494. 1:20:45that strategy gives you a short-term
  2495. 1:20:46advantage everyone's incentivized to do
  2496. 1:20:48it and so everyone ends up doing it so
  2497. 1:20:50the responsibility for
  2498. 1:20:51i mean social media is a really nice
  2499. 1:20:53place for a large number of people to
  2500. 1:20:55play game theory and so
  2501. 1:20:58they also have the ability to then
  2502. 1:20:59design the the rules of the game
  2503. 1:21:02and uh is it on them to try to
  2504. 1:21:04anticipate what kind of
  2505. 1:21:06like to do the thing that poker players
  2506. 1:21:08are doing to run simulation
  2507. 1:21:11ideally that would have been great if
  2508. 1:21:12you know mark zuckerberg
  2509. 1:21:14and jack and all that you know the
  2510. 1:21:16twitter founders and everyone if they
  2511. 1:21:17had at least just
  2512. 1:21:19run a few simulations of how
  2513. 1:21:21their algorithms would you know
  2514. 1:21:23different types of algorithms would turn
  2515. 1:21:24out for society that would have been
  2516. 1:21:26great that's really difficult to do that
  2517. 1:21:28kind of deep philosophical thinking
  2518. 1:21:30about thinking about humanity actually
  2519. 1:21:33so not
  2520. 1:21:35not kind of this level of how do we
  2521. 1:21:38optimize engagement
  2522. 1:21:40or what brings people joy in the short
  2523. 1:21:42term but how is this thing going to
  2524. 1:21:44change the way people see the world how
  2525. 1:21:48is it going to get morphed in iterative
  2526. 1:21:50games played
  2527. 1:21:52into something that
  2528. 1:21:54will change society forever that's that
  2529. 1:21:57requires some deep thinking that's
  2530. 1:22:00i hope there's meetings like that inside
  2531. 1:22:02companies but there aren't that's the
  2532. 1:22:03problem and and
  2533. 1:22:06it's difficult because like when you're
  2534. 1:22:08starting up a social media company you
  2535. 1:22:09know you're aware that you you've got
  2536. 1:22:12investors to please
  2537. 1:22:14there's
  2538. 1:22:15you bills to pay um you know there's
  2539. 1:22:17only so much r d you can afford to do
  2540. 1:22:19you've got all these like incredible
  2541. 1:22:21pressures it's bad you know bad
  2542. 1:22:22incentives to get on and just build your
  2543. 1:22:24thing as quickly as possible and start
  2544. 1:22:25making money
  2545. 1:22:26and you know i don't think anyone
  2546. 1:22:28intended when they built these social
  2547. 1:22:30social media platforms and just to like
  2548. 1:22:33preface it so the reason why you know
  2549. 1:22:35social media is relevant because it's a
  2550. 1:22:36very good example of like everyone these
  2551. 1:22:39days is optimizing for you know clicks
  2552. 1:22:42um whether it's the social media
  2553. 1:22:43platforms themselves because you know
  2554. 1:22:45every click gets more you know
  2555. 1:22:47impressions and impressions pay for you
  2556. 1:22:48know
  2557. 1:22:49they get advertising dollars or whether
  2558. 1:22:51it's
  2559. 1:22:52individual influencers or you know
  2560. 1:22:54whether it's the new york times or
  2561. 1:22:55whoever they're trying to get their
  2562. 1:22:56story to go viral so everyone's got this
  2563. 1:22:58bad incentive of using you know as you
  2564. 1:23:00call it the clickbait industrial complex
  2565. 1:23:02um that's a very molecule system because
  2566. 1:23:04everyone is now using worse and worse
  2567. 1:23:05tactics in order to like try and win
  2568. 1:23:07this attention game um
  2569. 1:23:09and
  2570. 1:23:11yeah so
  2571. 1:23:13ideally these companies would have had
  2572. 1:23:14enough slack in the beginning
  2573. 1:23:17in order to run these experiments to see
  2574. 1:23:19okay what are the ways this could
  2575. 1:23:21possibly go wrong for people what are
  2576. 1:23:23the ways that molok they should be aware
  2577. 1:23:25of this concept of molok and realize
  2578. 1:23:26that it's any whenever you have a highly
  2579. 1:23:28competitive multi-agent system which
  2580. 1:23:31social media is a classic example of
  2581. 1:23:32millions of agents all trying to compete
  2582. 1:23:34for likes and so on and you try and
  2583. 1:23:38bring all this complexity down into like
  2584. 1:23:40very small metrics such as number of
  2585. 1:23:43likes number of retweets whatever the
  2586. 1:23:45algorithm optimizes for that is a like
  2587. 1:23:47guaranteed recipe for this stuff to go
  2588. 1:23:49wrong and become a race to the bottom
  2589. 1:23:51yeah i think there should be an honesty
  2590. 1:23:53when founders i think there's a hunger
  2591. 1:23:54for that kind of transparency of like we
  2592. 1:23:56don't know what the we're doing
  2593. 1:23:58this is a fascinating experiment we're
  2594. 1:23:59all running
  2595. 1:24:01as a human civilization let's try this
  2596. 1:24:03out yes and like actually just be honest
  2597. 1:24:05about this that we're all like
  2598. 1:24:07these weird rats and a maze
  2599. 1:24:10not none of us are controlling it
  2600. 1:24:12there's this kind of sense like the
  2601. 1:24:13founders
  2602. 1:24:15the ceo of instagram or whatever mark
  2603. 1:24:17zuckerberg has a control and he's like
  2604. 1:24:19like with strings playing people no
  2605. 1:24:22they're he's at the mercy of this like
  2606. 1:24:23everyone else he's just like trying to
  2607. 1:24:25do his best
  2608. 1:24:26and like i think putting on a smile and
  2609. 1:24:29doing over uh polished videos about
  2610. 1:24:33how instagram and facebook are good for
  2611. 1:24:35you
  2612. 1:24:36i think is not the right way to uh to
  2613. 1:24:39actually ask some of the deepest
  2614. 1:24:40questions we get to ask as a society how
  2615. 1:24:43do we design the game
  2616. 1:24:46such that we build a better world i
  2617. 1:24:48think a big part of this as well is
  2618. 1:24:50people
  2619. 1:24:51there's this
  2620. 1:24:52there's this philosophy particularly in
  2621. 1:24:54silicon valley um
  2622. 1:24:56of well techno optimism technology will
  2623. 1:24:59solve all our issues
  2624. 1:25:01and there's a steel man argument to that
  2625. 1:25:02where yes technology has solved a lot of
  2626. 1:25:04problems and can potentially solve a lot
  2627. 1:25:06future ones
  2628. 1:25:08but it can also it's always a
  2629. 1:25:10double-edged sword and particularly as
  2630. 1:25:11you know technology gets more and more
  2631. 1:25:12powerful and we've now got like big data
  2632. 1:25:14and we're able to do all kinds of like
  2633. 1:25:17psychological manipulation with it and
  2634. 1:25:18so on um
  2635. 1:25:20it's
  2636. 1:25:22technology is not about values neutral
  2637. 1:25:24thing people think i used to always
  2638. 1:25:26think this myself it's like this naive
  2639. 1:25:28view that oh technology is completely
  2640. 1:25:30neutral it's just it's the humans that
  2641. 1:25:32either make it good or bad no
  2642. 1:25:35to the point we're at now the technology
  2643. 1:25:37that we are creating they are social
  2644. 1:25:38technologies they literally
  2645. 1:25:40dictate
  2646. 1:25:41how humans now form social groups and so
  2647. 1:25:45on beyond that and beyond that it also
  2648. 1:25:47then that gives rise to like the memes
  2649. 1:25:49that we then like coalesce around
  2650. 1:25:51and that you know if you have the stack
  2651. 1:25:53that way where it's technology driving
  2652. 1:25:55social interaction which then drives
  2653. 1:25:57like mimetic
  2654. 1:25:58uh mimetic culture and like
  2655. 1:26:01which ideas become popular that's molok
  2656. 1:26:04and the we need the other way around we
  2657. 1:26:06need it so we need to figure out what
  2658. 1:26:07are the good memes what are the good
  2659. 1:26:09um
  2660. 1:26:10values
  2661. 1:26:11that we think are we we need to optimize
  2662. 1:26:14for the like makes people happy and
  2663. 1:26:16healthy and like keeps society as robust
  2664. 1:26:19and safe as possible then figure out
  2665. 1:26:21what the social structure around those
  2666. 1:26:23should be and only then do we figure out
  2667. 1:26:24technology but if we're doing the other
  2668. 1:26:26way around and
  2669. 1:26:27you know like as much as i love
  2670. 1:26:31in many ways the culture of silicon
  2671. 1:26:32valley and like you know i do think that
  2672. 1:26:34technology has you know i don't want to
  2673. 1:26:36knock it it's done so many wonderful
  2674. 1:26:37things for us same with capitalism um
  2675. 1:26:40there are
  2676. 1:26:42we have to like be honest with ourselves
  2677. 1:26:44we're getting to a point where we are
  2678. 1:26:45losing control of this very powerful
  2679. 1:26:48machine that we have created can you
  2680. 1:26:49redesign the machine within the game can
  2681. 1:26:53can you just have
  2682. 1:26:55can you understand the game enough okay
  2683. 1:26:57this is the game and this is how we
  2684. 1:26:59start to re-emphasize the memes that
  2685. 1:27:02matter
  2686. 1:27:03the the memes that bring out the best in
  2687. 1:27:06us
  2688. 1:27:07uh you know like the way
  2689. 1:27:09i try to be in real life and the way i
  2690. 1:27:11try to be online is to be about kindness
  2691. 1:27:14and
  2692. 1:27:15love and i feel like i'm
  2693. 1:27:17sometimes
  2694. 1:27:18get like criticized for being naive and
  2695. 1:27:20all those kinds of things but i feel
  2696. 1:27:22like i'm just trying to live
  2697. 1:27:24within this game i'm trying to be
  2698. 1:27:26authentic
  2699. 1:27:27yeah but also like
  2700. 1:27:28hey it's kind of fun to do this like you
  2701. 1:27:31guys should try this too you know that
  2702. 1:27:33and that's like
  2703. 1:27:35trying to redesign
  2704. 1:27:37some aspects of the game within the game
  2705. 1:27:40um is that possible
  2706. 1:27:43i don't know
  2707. 1:27:44but i think we should try
  2708. 1:27:46uh i don't think we have an option but
  2709. 1:27:48to try well the other option is to
  2710. 1:27:50create new companies or to
  2711. 1:27:52pressure companies
  2712. 1:27:54uh that or anyone who has control of the
  2713. 1:27:57rules of the game i think we need to be
  2714. 1:27:59doing all of the above
  2715. 1:28:00i think we need to be thinking hard
  2716. 1:28:02about what are the kind of positive
  2717. 1:28:04healthy memes
  2718. 1:28:06um
  2719. 1:28:08uh
  2720. 1:28:09you know as elon said he who controls
  2721. 1:28:11the memes controls the universe um i
  2722. 1:28:14think he did yeah
  2723. 1:28:15um but there's truth to that
  2724. 1:28:17it's very there is wisdom in that
  2725. 1:28:19because
  2726. 1:28:21memes have driven history you know we
  2727. 1:28:23are we are a cultural species that's
  2728. 1:28:24what sets us apart from chimpanzees and
  2729. 1:28:27everything else we have the ability to
  2730. 1:28:30learn and evolve through culture
  2731. 1:28:32as opposed to biology or like you know
  2732. 1:28:34classic physical constraints
  2733. 1:28:37and that means culture is incredibly
  2734. 1:28:39powerful
  2735. 1:28:40and we can create and become victim to
  2736. 1:28:43very bad memes or very good ones um but
  2737. 1:28:46we do have some agency over which means
  2738. 1:28:49you know we we sub but not only put out
  2739. 1:28:51there but we also like subscribe to
  2740. 1:28:54um so i think we need to take that
  2741. 1:28:55approach
  2742. 1:28:56we also need to
  2743. 1:28:58you know because i don't want the the
  2744. 1:29:00the
  2745. 1:29:01i'm making this video right now are
  2746. 1:29:02called the attention wars which is about
  2747. 1:29:04like how molok like the media machine is
  2748. 1:29:06this moloch machine uh well is this is
  2749. 1:29:09this kind of like blind dumb thing that
  2750. 1:29:11where everyone is optimizing for
  2751. 1:29:12engagement in order to win their share
  2752. 1:29:13of the attention pie um and then if you
  2753. 1:29:16zoom out it's really like molok that's
  2754. 1:29:18pulling the strings because the only
  2755. 1:29:19thing that benefits from this in the end
  2756. 1:29:20you know like oh our information
  2757. 1:29:22ecosystem is breaking down like we have
  2758. 1:29:25you look at the state of the us it's in
  2759. 1:29:26we're we're in a civil war it's just not
  2760. 1:29:28a physical war it's it's it's a
  2761. 1:29:31it's an information war and people
  2762. 1:29:33people are becoming more fractured in
  2763. 1:29:35terms of what their actual shared
  2764. 1:29:36reality is like truly like an extreme
  2765. 1:29:38left person an extreme right person like
  2766. 1:29:40they
  2767. 1:29:41they literally live in different worlds
  2768. 1:29:43in their in their in their minds at this
  2769. 1:29:44point and it's getting more and more
  2770. 1:29:46amplified and this this force is like a
  2771. 1:29:49like razor blade pushing through
  2772. 1:29:51everything it doesn't matter how
  2773. 1:29:52innocuous the topic is it will find a
  2774. 1:29:53way to split into this you know
  2775. 1:29:55bifurcated culture war and it's
  2776. 1:29:57terrifying because that maximizes the
  2777. 1:29:59tension and that's like an emergent
  2778. 1:30:01moloch type force right that takes any
  2779. 1:30:05any topic
  2780. 1:30:06and
  2781. 1:30:07cuts through it so they it can split
  2782. 1:30:09nicely
  2783. 1:30:11into two groups one one that's well it's
  2784. 1:30:14whatever yeah
  2785. 1:30:16all everyone is trying to do within the
  2786. 1:30:17system is just maximize whatever gets
  2787. 1:30:19them the most attention because they're
  2788. 1:30:21just trying to make money so they can
  2789. 1:30:22keep their thing going right
  2790. 1:30:24and the way the
  2791. 1:30:26the best emotion for getting attention
  2792. 1:30:28in well because it's not just about
  2793. 1:30:29attention on the internet it's
  2794. 1:30:30engagement that's the key thing right in
  2795. 1:30:33order for something to go viral you need
  2796. 1:30:34people to actually engage with it they
  2797. 1:30:35need to like comment or retweet or
  2798. 1:30:37whatever
  2799. 1:30:38um
  2800. 1:30:39and of all the emotions the
  2801. 1:30:42uh you know there's like seven classic
  2802. 1:30:44shared emotions that studies have found
  2803. 1:30:46that all humans even from like un un
  2804. 1:30:49previously uncontacted tribes have um
  2805. 1:30:52some of those are negative you know like
  2806. 1:30:54sadness
  2807. 1:30:55uh disgust
  2808. 1:30:57anger etc summer positive happiness um
  2809. 1:31:00excitement and so on the one that
  2810. 1:31:03happens to be the most useful for the
  2811. 1:31:04internet is anger because anger is
  2812. 1:31:08it's
  2813. 1:31:09such an active emotion if you want
  2814. 1:31:11people to engage
  2815. 1:31:13if someone's scared and i'm not just
  2816. 1:31:14like talking about my essay there are
  2817. 1:31:15studies here that looked into this um
  2818. 1:31:19where it's like if someone's like
  2819. 1:31:20disgusted or fearful they actually tend
  2820. 1:31:22to then be like i don't want to deal
  2821. 1:31:24with this so they're less likely to
  2822. 1:31:25actually engage and share it and so on
  2823. 1:31:27they're just gonna be like whereas if
  2824. 1:31:28they're enraged by a thing well now that
  2825. 1:31:31like that triggers all the like the the
  2826. 1:31:33old tribalism emotions um and so that's
  2827. 1:31:36how then things get sort of spread you
  2828. 1:31:38know much more easily they out compete
  2829. 1:31:40all the other memes in the ecosystem um
  2830. 1:31:43and so this like
  2831. 1:31:46the attention economy the the wheels
  2832. 1:31:48that make it go around are is rage um i
  2833. 1:31:51did a you know tweet the the the the
  2834. 1:31:53problem with raising against the machine
  2835. 1:31:54is that the machine has learned to feed
  2836. 1:31:56off rage because it is feeding off our
  2837. 1:31:58age that's the thing that's now keeping
  2838. 1:31:59it going so the more we get angry the
  2839. 1:32:01worse it gets
  2840. 1:32:02um so the malloc and this attention
  2841. 1:32:05in in the war of attention is
  2842. 1:32:08constantly maximizing rage what it is
  2843. 1:32:12optimizing for is engagement and it
  2844. 1:32:13happens to be the engagement um
  2845. 1:32:17is
  2846. 1:32:18what propaganda you know is that i mean
  2847. 1:32:20it just sounds like everything is is
  2848. 1:32:22putting is more and more things being
  2849. 1:32:23put through this like propagandist lens
  2850. 1:32:25of winning whatever the war is in
  2851. 1:32:28question whether it's the culture war or
  2852. 1:32:29the ukraine war yeah well i think the
  2853. 1:32:31silver lining of this do you think it's
  2854. 1:32:34possible that in the long arc of this
  2855. 1:32:36process you actually do arrive
  2856. 1:32:39at greater wisdom and more progress it's
  2857. 1:32:41just in the moment it feels like people
  2858. 1:32:43are
  2859. 1:32:45tearing each other to shreds over ideas
  2860. 1:32:47but if you think about it one of the
  2861. 1:32:48magic things about democracy and so on
  2862. 1:32:51is you have the blue versus red
  2863. 1:32:52constantly fighting it's almost like
  2864. 1:32:55they're
  2865. 1:32:56in
  2866. 1:32:56discourse
  2867. 1:32:58creating devil's advocate making devils
  2868. 1:33:00out of each other and through that
  2869. 1:33:01process
  2870. 1:33:03discussing ideas like almost really
  2871. 1:33:06embodying different ideas just to yell
  2872. 1:33:08at each other and through the yelling
  2873. 1:33:09over the period of decades maybe
  2874. 1:33:11centuries figuring out a better system
  2875. 1:33:15like in the moment it feels up
  2876. 1:33:17right but in the long arc it actually is
  2877. 1:33:19pretty productive
  2878. 1:33:20i hope so
  2879. 1:33:21um
  2880. 1:33:23that said
  2881. 1:33:25we are now in the era of
  2882. 1:33:28just as we have weapons of mass
  2883. 1:33:29destruction with nuclear weapons
  2884. 1:33:32you know that can break the whole
  2885. 1:33:33playing field
  2886. 1:33:35we now are developing weapons of
  2887. 1:33:37informational mass destruction
  2888. 1:33:39information
  2889. 1:33:40you know wmds that
  2890. 1:33:42basically can be used for propaganda or
  2891. 1:33:45just
  2892. 1:33:46manipulating people however they you
  2893. 1:33:48know is needed whether that's through
  2894. 1:33:51dumb tick-tock videos or you know there
  2895. 1:33:54are significant
  2896. 1:33:56resources being put in um i don't mean
  2897. 1:33:59to sound like you know
  2898. 1:34:01to doom and gloom but there are
  2899. 1:34:03bad actors out there that's the thing
  2900. 1:34:04there are plenty of good actors within
  2901. 1:34:06the system who are just trying to stay
  2902. 1:34:07afloat in the game so we're effectively
  2903. 1:34:08doing monarchy things but then on top of
  2904. 1:34:10that we have actual bad actors who are
  2905. 1:34:13intentionally trying to like manipulate
  2906. 1:34:15the other side into doing things and
  2907. 1:34:17using uh so because of the digital space
  2908. 1:34:19they're able to use
  2909. 1:34:21uh
  2910. 1:34:22artificial actors meaning bots exactly
  2911. 1:34:24botnets you know and this is a whole new
  2912. 1:34:28situation that we've never had before
  2913. 1:34:31it's exciting you know you know what i
  2914. 1:34:32want to do you know what i want to do
  2915. 1:34:34that um because there is you know people
  2916. 1:34:37talking about boss manipulating and
  2917. 1:34:39uh like malicious bots that are
  2918. 1:34:41basically spreading propaganda i want to
  2919. 1:34:43create like a bot army for like that
  2920. 1:34:46like fights that yeah exactly for love
  2921. 1:34:48that fights though that i mean you know
  2922. 1:34:51there's there i mean there's truth to
  2923. 1:34:52fight fire with fire it's like but how
  2924. 1:34:55you always have to be careful whenever
  2925. 1:34:57you create again like molok is very
  2926. 1:35:00tricky yeah hitler was trying to spread
  2927. 1:35:02the love too well yeah so we thought but
  2928. 1:35:05you know i i i agree with you that like
  2929. 1:35:07that is a thing that should be
  2930. 1:35:08considered but there is
  2931. 1:35:10again everyone the road to hell is paved
  2932. 1:35:12good intentions
  2933. 1:35:13and
  2934. 1:35:14this is
  2935. 1:35:15there's there's always unforeseen
  2936. 1:35:17circums you know outcomes uh
  2937. 1:35:19externalities of you trying to adopt a
  2938. 1:35:21thing even if you do it in the very best
  2939. 1:35:22of faith but you can learn lessons if
  2940. 1:35:25you can run some sims on it first
  2941. 1:35:27absolutely but but also there's certain
  2942. 1:35:29aspects of a system as we've learned
  2943. 1:35:31through history that
  2944. 1:35:32do better than others like for example
  2945. 1:35:35don't have a dictator so
  2946. 1:35:36um like if i were to create this bot
  2947. 1:35:38army it's not good for me to have full
  2948. 1:35:41control over it because in the beginning
  2949. 1:35:43i might have a good understanding of
  2950. 1:35:45what's good and not but over time that
  2951. 1:35:47starts to get deviated because i'll get
  2952. 1:35:49annoyed at some and i'll think
  2953. 1:35:51okay wouldn't it be nice to get rid of
  2954. 1:35:52those but then that power
  2955. 1:35:54starts getting to your head you become
  2956. 1:35:55corrupted that's basic human nature so
  2957. 1:35:58distribute the powers we need we need a
  2958. 1:36:00a love
  2959. 1:36:02botnet
  2960. 1:36:03on a dao
  2961. 1:36:05a dow love botnet
  2962. 1:36:07yeah but and without a leader like
  2963. 1:36:10without exactly distributed right yeah
  2964. 1:36:12without any kind of centralized yeah
  2965. 1:36:14without even you know basically is the
  2966. 1:36:16more control the more you can
  2967. 1:36:18decentralize the control of a thing
  2968. 1:36:20uh to people
  2969. 1:36:23you know but the the they don't need the
  2970. 1:36:25ability to coordinate because that's the
  2971. 1:36:27issue when you if something is too you
  2972. 1:36:29know that's really to me like the
  2973. 1:36:31culture wars is
  2974. 1:36:32the bigger war we're dealing with is
  2975. 1:36:33actually between
  2976. 1:36:35the like the sort of i don't know what
  2977. 1:36:38even the term is for it but like
  2978. 1:36:39centralization versus decentralization
  2979. 1:36:41that's the tension we're seeing
  2980. 1:36:44power in control by a few versus
  2981. 1:36:46completely distributed and the trouble
  2982. 1:36:49is if you have a fully centralized thing
  2983. 1:36:50then you're at risk of tyranny you know
  2984. 1:36:52stalin type things can happen uh or
  2985. 1:36:55completely distributed uh now you're at
  2986. 1:36:57risk of complete anarchy and chaos where
  2987. 1:36:58you can't even coordinate to like on you
  2988. 1:37:00know when there's like a pandemic or
  2989. 1:37:02anything like that so it's like what is
  2990. 1:37:04the right balance to strike between
  2991. 1:37:06these two
  2992. 1:37:07well structures can't molec really take
  2993. 1:37:09hold in a fully decentralized system
  2994. 1:37:10that's the one of the dangers too yes
  2995. 1:37:12the the very vulnerable so the dictator
  2996. 1:37:15can commit huge atrocities but they can
  2997. 1:37:18also make sure the the infrastructure
  2998. 1:37:20works and
  2999. 1:37:21uh
  3000. 1:37:23they have that god's eye view at least
  3001. 1:37:24they have the ability to create like
  3002. 1:37:26laws and rules that like force
  3003. 1:37:28coordination which stops moloch but then
  3004. 1:37:31you're vulnerable to that dictator
  3005. 1:37:33getting infected with like this with
  3006. 1:37:34some kind of psychopathy type thing
  3007. 1:37:36what's uh what's your verse malloc
  3008. 1:37:39sorry great question so
  3009. 1:37:42that's where
  3010. 1:37:44i've been working on this series it's
  3011. 1:37:46been driving me insane for the last year
  3012. 1:37:47and a half uh i did the first one a year
  3013. 1:37:49ago i can't believe it's nearly been a
  3014. 1:37:50year uh the second one hopefully will be
  3015. 1:37:53coming out in like a month um
  3016. 1:37:56and my goal at the end of the series is
  3017. 1:37:57to like present because basically i'm
  3018. 1:37:59painting the picture of like what molok
  3019. 1:38:00is and how it's affecting almost all
  3020. 1:38:02these issues in our in our society and
  3021. 1:38:04how it's you know driving it's like kind
  3022. 1:38:06of the generator function as people
  3023. 1:38:08describe it of existential risk
  3024. 1:38:10and then at the end wait wait the
  3025. 1:38:12generator function of existential risk
  3026. 1:38:14so you're saying molok is sort of the
  3027. 1:38:16engine that creates
  3028. 1:38:17a bunch a bunch of x-risks yes not all
  3029. 1:38:20of them like like a uh you know a um
  3030. 1:38:22it's a cool phrase generator function
  3031. 1:38:24it's not my phrase it's daniel
  3032. 1:38:25schmacktenberger oh i got that from him
  3033. 1:38:28of course all things it's like all the
  3034. 1:38:30roads lead back to daniel
  3035. 1:38:31schmuckenberger the dude is the dude is
  3036. 1:38:34brilliant no he's not ready for that
  3037. 1:38:35it's mark twain
  3038. 1:38:38sorry
  3039. 1:38:39um totally rude interruptions from me no
  3040. 1:38:41it's fine uh so not all likes risks so
  3041. 1:38:43like an asteroid technically isn't
  3042. 1:38:45because it's um
  3043. 1:38:47you know it's just like this one big
  3044. 1:38:48external thing it's not like a
  3045. 1:38:50competition thing going on but you know
  3046. 1:38:52synthetic biola you know
  3047. 1:38:54bio weapons that's one because
  3048. 1:38:56everyone's incentivized to build
  3049. 1:38:58even for defense you know bad bad
  3050. 1:39:00viruses you know just threaten someone
  3051. 1:39:02else etc or ai technically the race to
  3052. 1:39:05adi is kind of potentially a monarchy
  3053. 1:39:07situation um
  3054. 1:39:09but
  3055. 1:39:10yeah so
  3056. 1:39:11if molok is this like generator function
  3057. 1:39:14that's driving all of these issues over
  3058. 1:39:16the coming century that might wipe us
  3059. 1:39:18out
  3060. 1:39:18what's the inverse and so far what i've
  3061. 1:39:21gotten to is
  3062. 1:39:23this character that i want to put out
  3063. 1:39:24there called win-win
  3064. 1:39:26because monica's the god of lose-lose
  3065. 1:39:28ultimately it masquerades as the god of
  3066. 1:39:29win-lose but in reality it's lose-lose
  3067. 1:39:31everyone ends up worse off
  3068. 1:39:34so i was like well what's the opposite
  3069. 1:39:35of that it's win-win and i was thinking
  3070. 1:39:37for ages like what's a good name for
  3071. 1:39:38this character
  3072. 1:39:39and then the more i was like okay well
  3073. 1:39:42don't try and you know think through it
  3074. 1:39:44logically what's the vibe of win-win and
  3075. 1:39:46to me like in my mind molok is like
  3076. 1:39:49and i dress as it in the video like it's
  3077. 1:39:51red and black it's kind of like very
  3078. 1:39:54you know hyper focused on it's one goal
  3079. 1:39:56you must win um
  3080. 1:39:58so win-win is kind of actually like
  3081. 1:40:00these colors it's like purple turquoise
  3082. 1:40:02um
  3083. 1:40:04it's
  3084. 1:40:05loves games too it loves a little bit of
  3085. 1:40:07healthy competition but constrained like
  3086. 1:40:09kind of like before like knows how to
  3087. 1:40:11ring fence zero sum competition into
  3088. 1:40:12like just the right amount
  3089. 1:40:14uh whereby its externalities can be
  3090. 1:40:16controlled and kept positive
  3091. 1:40:18and then beyond that it also loves
  3092. 1:40:20cooperation coordination love all these
  3093. 1:40:22other things um but it's also kind of
  3094. 1:40:24like mischievous
  3095. 1:40:25uh like you know it will have a good
  3096. 1:40:28time it's not like kind of like boring
  3097. 1:40:29you know like oh god it's it's it knows
  3098. 1:40:32how to have fun it can get like it can
  3099. 1:40:34get down um but ultimately it's like
  3100. 1:40:38unbelievably wise and it just wants the
  3101. 1:40:40game to keep going
  3102. 1:40:42um and i call it win-win um
  3103. 1:40:44that's a good like pet name yes
  3104. 1:40:46the i think the win
  3105. 1:40:49right and i think it's formal name when
  3106. 1:40:51it has to do like official functions is
  3107. 1:40:53uh omnia
  3108. 1:40:54omnia yeah from like um omniscience kind
  3109. 1:40:58of what's why omnia you just like omnia
  3110. 1:41:00omni win but i'm open to suggestions oh
  3111. 1:41:03like you know and this is like yeah yeah
  3112. 1:41:05like that but there's an angelic kind of
  3113. 1:41:07sense to omnia though so win-win is more
  3114. 1:41:09fun so it's more it's more like
  3115. 1:41:12uh it embraces the
  3116. 1:41:14the the fun aspect i mean there is
  3117. 1:41:17something about sort of um
  3118. 1:41:20there's some aspect to win-win
  3119. 1:41:22interactions that requires
  3120. 1:41:26embracing
  3121. 1:41:27[Music]
  3122. 1:41:29the chaos of the game and enjoying the
  3123. 1:41:32game itself
  3124. 1:41:33i don't know i don't know what that is
  3125. 1:41:35that's almost like a zen-like
  3126. 1:41:36appreciation of of the game itself not
  3127. 1:41:39optimizing for the consequences of the
  3128. 1:41:41game
  3129. 1:41:42right well it's recognizing
  3130. 1:41:44the value of competition in of itself
  3131. 1:41:46about it's not like about winning it's
  3132. 1:41:48about you enjoying the process of having
  3133. 1:41:50a competition and not knowing whether
  3134. 1:41:52you're going to win or lose this little
  3135. 1:41:53thing but then also being aware
  3136. 1:41:55that you know what's the boundary how
  3137. 1:41:57big do i want competition to be because
  3138. 1:41:59one of the reasons why molok is doing so
  3139. 1:42:01well
  3140. 1:42:02now in our society in our civilization
  3141. 1:42:04is because we haven't been able to ring
  3142. 1:42:05fence competition
  3143. 1:42:07uh you know and so it's just having all
  3144. 1:42:09these negative externalities and we've
  3145. 1:42:10completely lost control of it um you
  3146. 1:42:13know it's
  3147. 1:42:14i think
  3148. 1:42:16my guess is and now we're getting really
  3149. 1:42:17like
  3150. 1:42:18you know metaphysical technically but i
  3151. 1:42:21i think
  3152. 1:42:24we would be we'll be in a more
  3153. 1:42:25interesting universe if we have one that
  3154. 1:42:27has both
  3155. 1:42:28pure cooperation you know lots of
  3156. 1:42:30cooperation
  3157. 1:42:31and some pockets of competition then one
  3158. 1:42:33that's purely competition cooperation
  3159. 1:42:35entirely like it's good to have some
  3160. 1:42:37little zero sumness bits um but i don't
  3161. 1:42:40know that fully and i'm not qualified as
  3162. 1:42:42a philosopher to know that and that's
  3163. 1:42:44what reverse molex so this kind of
  3164. 1:42:46win-win creature is in
  3165. 1:42:48uh system is an antidote to the molex
  3166. 1:42:51system
  3167. 1:42:52yes
  3168. 1:42:53and
  3169. 1:42:54i don't know how it's going to do that
  3170. 1:42:57um but it's good to kind of try to
  3171. 1:42:59start to formulate different ideas
  3172. 1:43:01different frameworks of how we think
  3173. 1:43:03about that exactly at the small scale of
  3174. 1:43:06a collection of individuals a large
  3175. 1:43:07scale of a society exactly it's a meme i
  3176. 1:43:10think it's i think it's an example of a
  3177. 1:43:12good meme and i'm open i'd love to hear
  3178. 1:43:14feedback from people if they think it's
  3179. 1:43:16you know they have a better idea or it's
  3180. 1:43:17not you know but it's the direction of
  3181. 1:43:20meme that we need to spread this idea of
  3182. 1:43:22like look for the win-wins in life
  3183. 1:43:24well on the topic of beauty filters so
  3184. 1:43:27in that particular context where
  3185. 1:43:29uh malik creates
  3186. 1:43:32uh negative consequences what do you
  3187. 1:43:34know dostoevsky said beauty will save
  3188. 1:43:36the world
  3189. 1:43:37what is beauty anyway
  3190. 1:43:41it would be nice to just try to discuss
  3191. 1:43:45what kind of thing we would like to
  3192. 1:43:47converge towards
  3193. 1:43:49in our
  3194. 1:43:50understanding of what is beautiful
  3195. 1:43:55so to me i think something is beautiful
  3196. 1:43:59when
  3197. 1:44:00it can't be reduced down to
  3198. 1:44:05easy metrics like if you think of a tree
  3199. 1:44:09what is it about a tree like a big
  3200. 1:44:10ancient beautiful tree right what is it
  3201. 1:44:12about it that we find so beautiful it's
  3202. 1:44:14not you know the
  3203. 1:44:17the you know what the sweetness of its
  3204. 1:44:19fruit
  3205. 1:44:20or the value of its lumber
  3206. 1:44:23it's
  3207. 1:44:25it's this entirety of it
  3208. 1:44:27that is that there's these immeasurable
  3209. 1:44:30qualities it's like almost like a qualia
  3210. 1:44:32of it
  3211. 1:44:33um that's both like it walks this fine
  3212. 1:44:36line between pattern well it's got lots
  3213. 1:44:37of patronicity but it's not overly
  3214. 1:44:39predictable
  3215. 1:44:40um you know again it walks this fine
  3216. 1:44:41line between order and chaos it's a very
  3217. 1:44:43highly complex system
  3218. 1:44:45um
  3219. 1:44:46in the
  3220. 1:44:48you know you can't it's evolving over
  3221. 1:44:50time you know that the definition of a
  3222. 1:44:52complex versus and this is another
  3223. 1:44:53smackdom burger thing you know a complex
  3224. 1:44:55versus a complicated system a
  3225. 1:44:57complicated system can be sort of broken
  3226. 1:44:59down into bits understood and then put
  3227. 1:45:01back together a complex system it's kind
  3228. 1:45:03of like a black box it does all this
  3229. 1:45:05crazy stuff
  3230. 1:45:06but if you take it apart you can't put
  3231. 1:45:08it back together again because it's
  3232. 1:45:09there's there's all these intricacies
  3233. 1:45:11and also very importantly like there's
  3234. 1:45:13some of the parts sorry the sum of the
  3235. 1:45:15whole is much greater than the sum of
  3236. 1:45:16the parts
  3237. 1:45:17and that's where the beauty lies i think
  3238. 1:45:21and i think that extends to things like
  3239. 1:45:22art as well like
  3240. 1:45:24there's something there's something
  3241. 1:45:26immeasurable about it there's something
  3242. 1:45:27we can't break down to a narrow metric
  3243. 1:45:29does that extend to humans you think
  3244. 1:45:31yeah
  3245. 1:45:32absolutely
  3246. 1:45:33so how can instagram reveal that kind of
  3247. 1:45:36beauty the complexity of a human being
  3248. 1:45:39good question
  3249. 1:45:41um this takes us back to uh dating sites
  3250. 1:45:44and good reads i think
  3251. 1:45:46very good question i mean
  3252. 1:45:48well i know what it shouldn't do it
  3253. 1:45:50shouldn't try and like right now
  3254. 1:45:52you know one of the
  3255. 1:45:54i was talking to like a social media
  3256. 1:45:55expert recently because i was like oh i
  3257. 1:45:57hate things the social media expert oh
  3258. 1:46:00yeah there are like agencies out there
  3259. 1:46:01that you can like outsource because i'm
  3260. 1:46:03thinking about
  3261. 1:46:04working with one to like
  3262. 1:46:06i said i want to start a podcast
  3263. 1:46:09you should you should have done it a
  3264. 1:46:10long time ago checking on it gonna be
  3265. 1:46:13called win-win um and it's gonna be
  3266. 1:46:15about this like positive some stuff uh
  3267. 1:46:17and
  3268. 1:46:18the thing that you know they they all
  3269. 1:46:20come back and say it's like well you
  3270. 1:46:21need to like figure out what your thing
  3271. 1:46:23is you know you need to narrow down what
  3272. 1:46:25your thing is and then just follow that
  3273. 1:46:27have like a sort of a formula
  3274. 1:46:30because that's what people want they
  3275. 1:46:32want to know that they're coming back to
  3276. 1:46:33the same thing and that's the advice on
  3277. 1:46:35youtube twitter you name it and that's
  3278. 1:46:38why and and the trouble with that is
  3279. 1:46:40that it's it's a complexity reduction
  3280. 1:46:42and generally speaking complex you know
  3281. 1:46:43complexity reduction is bad it's making
  3282. 1:46:45things more it's an oversimplification
  3283. 1:46:47not that simplification is always a bad
  3284. 1:46:49thing um
  3285. 1:46:51but when you're trying to
  3286. 1:46:54take you know what is social media doing
  3287. 1:46:56is trying to like encapsulate the the
  3288. 1:46:58human experience and put it into digital
  3289. 1:47:01form and and commodify it to an extent
  3290. 1:47:04that you so you do that you compress
  3291. 1:47:06people down into these like narrow
  3292. 1:47:08things
  3293. 1:47:09and i that's why i think it's it's kind
  3294. 1:47:11of ultimately fundamentally incompatible
  3295. 1:47:13with at least my definition of beauty
  3296. 1:47:15it's interesting because
  3297. 1:47:16there is some sense in which
  3298. 1:47:20a simplification sort of in the in the
  3299. 1:47:23einstein kind of sense
  3300. 1:47:25of a really complex idea
  3301. 1:47:27a simplification in a way that still
  3302. 1:47:29captures some core
  3303. 1:47:31power of an idea of a person
  3304. 1:47:33is also
  3305. 1:47:34beautiful and so maybe it's possible for
  3306. 1:47:37social media to do that a presentation
  3307. 1:47:40a sort of a slither a sl a slice a look
  3308. 1:47:44into a person's life
  3309. 1:47:47that reveals something real about them
  3310. 1:47:50but in a simple way in a way that can be
  3311. 1:47:52displayed graphically or through words
  3312. 1:47:55some way i mean
  3313. 1:47:57in some way twitter can do that kind of
  3314. 1:47:59thing a very few set of words can reveal
  3315. 1:48:02the intricacies of a person
  3316. 1:48:04of course
  3317. 1:48:06the the viral machine that spreads those
  3318. 1:48:09words
  3319. 1:48:10uh often
  3320. 1:48:12results in people taking the thing out
  3321. 1:48:13of context not
  3322. 1:48:16people often don't read tweets in the
  3323. 1:48:18context of the human being that wrote
  3324. 1:48:20them the full the full history of the
  3325. 1:48:22tweets they've written the education
  3326. 1:48:24level the humor level the
  3327. 1:48:27the world view they're playing around
  3328. 1:48:29with
  3329. 1:48:30all that context is forgotten and people
  3330. 1:48:32just see the different words so that can
  3331. 1:48:34lead to trouble but in in a certain
  3332. 1:48:36sense if you do take it in context
  3333. 1:48:39it reveals some kind of quirky little
  3334. 1:48:42beautiful idea or a profound little idea
  3335. 1:48:45from that particular person that shows
  3336. 1:48:47something about that person so in that
  3337. 1:48:49sense twitter can be more successful if
  3338. 1:48:51we talk about molex is driving a better
  3339. 1:48:54kind of incentive
  3340. 1:48:56yeah i mean how they can
  3341. 1:48:59like if if we were to rewrite it is
  3342. 1:49:02there a way to rewrite the twitter
  3343. 1:49:04algorithm so that it stops being
  3344. 1:49:08the like
  3345. 1:49:10the fertile breeding ground of the
  3346. 1:49:11culture wars because that's really what
  3347. 1:49:13it is it's
  3348. 1:49:14um i mean
  3349. 1:49:16maybe i'm giving it you know twitter too
  3350. 1:49:17much power you know power but
  3351. 1:49:20just the more i looked into it and i had
  3352. 1:49:21conversations with uh
  3353. 1:49:23tristan harris uh from center of humane
  3354. 1:49:26technology and he explained it as like
  3355. 1:49:30twitter is where you have this amalgam
  3356. 1:49:32of human culture
  3357. 1:49:34and then this terribly designed
  3358. 1:49:35algorithm that amplifies the craziest
  3359. 1:49:37people um
  3360. 1:49:39and the the angriest the angriest most
  3361. 1:49:43divisive takes and amplifies them and
  3362. 1:49:45then the media the mainstream media
  3363. 1:49:47because all the journalists are also on
  3364. 1:49:48twitter they then
  3365. 1:49:50are informed by that and so they draw
  3366. 1:49:53out the stories they can from this
  3367. 1:49:55already like
  3368. 1:49:56very boiling lava of of of
  3369. 1:49:59rage and then spread that
  3370. 1:50:02you know to their millions and millions
  3371. 1:50:03of people who aren't even on twitter um
  3372. 1:50:06and so
  3373. 1:50:08i honestly i think if i could press a
  3374. 1:50:10button and turn them off i probably
  3375. 1:50:12would at this point because i just don't
  3376. 1:50:14see a way of being compatible with
  3377. 1:50:16healthiness but that's not gonna happen
  3378. 1:50:18um
  3379. 1:50:19and
  3380. 1:50:20so at least one way to like stem the
  3381. 1:50:22tide and make it less molecule would be
  3382. 1:50:25to
  3383. 1:50:26um
  3384. 1:50:27change
  3385. 1:50:29at least if like it was on a
  3386. 1:50:30subscription model then it's now not
  3387. 1:50:32optimizing for in you know
  3388. 1:50:34uh
  3389. 1:50:36impressions because basically what it
  3390. 1:50:37wants is for people to keep coming back
  3391. 1:50:39as often as possible that's how they get
  3392. 1:50:40paid right um every time an ad gets
  3393. 1:50:42shown to someone and the way is to get
  3394. 1:50:44people constantly refreshing their feed
  3395. 1:50:46so you're trying to encourage addictive
  3396. 1:50:48behaviors whereas if someone um
  3397. 1:50:51if they moved on to at least a
  3398. 1:50:52subscription model then
  3399. 1:50:55they're getting the money either way
  3400. 1:50:56whether someone comes back to the site
  3401. 1:50:58once a month or 500 times a month they
  3402. 1:51:00get the same amount of money so now that
  3403. 1:51:02takes away that incentive you know to
  3404. 1:51:04use technology you know
  3405. 1:51:06to build to design an algorithm that is
  3406. 1:51:08maximally addictive
  3407. 1:51:09um that would be one way for example
  3408. 1:51:12yeah but you still want people to
  3409. 1:51:14yeah i just feel like that just slows
  3410. 1:51:16down creates friction
  3411. 1:51:18in the virality of things but that's
  3412. 1:51:21good
  3413. 1:51:22we need to slow down
  3414. 1:51:24good it's one way
  3415. 1:51:26variety is monarch
  3416. 1:51:28to be clear
  3417. 1:51:30so molec
  3418. 1:51:32is always negative then yes
  3419. 1:51:35by definition yes
  3420. 1:51:37but then i disagree with you it's not
  3421. 1:51:38always negative competition is neutral i
  3422. 1:51:40disagree with you that all virality is
  3423. 1:51:42negative then uh as molok then
  3424. 1:51:45because
  3425. 1:51:47i i it's a good intuition because we
  3426. 1:51:49have a lot of data on virality being
  3427. 1:51:51negative
  3428. 1:51:52but i happen to believe that the core of
  3429. 1:51:56human beings so most human beings want
  3430. 1:51:58to be good
  3431. 1:52:00more than they want to be bad to each
  3432. 1:52:02other and so
  3433. 1:52:04i think it's possible it might be just
  3434. 1:52:06harder to engineer
  3435. 1:52:08systems that enable virality but it's
  3436. 1:52:10possible to engineer systems that are
  3437. 1:52:12viral
  3438. 1:52:13that enable virality and
  3439. 1:52:16the kind of stuff that rises to the top
  3440. 1:52:19is things that are positive and positive
  3441. 1:52:21not like
  3442. 1:52:23lala positive it's more like win-win
  3443. 1:52:25meaning a lot of people need to be
  3444. 1:52:27challenged wise things yeah you grow
  3445. 1:52:30from it it might challenge you you might
  3446. 1:52:31not like it but you ultimately grow from
  3447. 1:52:33it
  3448. 1:52:34and ultimately
  3449. 1:52:35bring people together as opposed to tear
  3450. 1:52:37them apart yeah i
  3451. 1:52:39deeply want that to be true and i very
  3452. 1:52:41much agree with you that people at their
  3453. 1:52:43core are on average good as opposed to
  3454. 1:52:44you know care for each other as opposed
  3455. 1:52:46to not like a you know i think it's
  3456. 1:52:48actually a very small percentage of
  3457. 1:52:50people are truly like wanting to do just
  3458. 1:52:52like destructive malicious things most
  3459. 1:52:54people are just trying to win their own
  3460. 1:52:55little game and they don't mean to be
  3461. 1:52:57you know they're just stuck in this
  3462. 1:52:58badly designed system
  3463. 1:53:00um
  3464. 1:53:02that said the current structure yes is
  3465. 1:53:05the current structure
  3466. 1:53:07means that virality is optimized towards
  3467. 1:53:10molok that doesn't mean there aren't
  3468. 1:53:11exceptions you know sometimes positive
  3469. 1:53:13stories do go viral and i think we
  3470. 1:53:14should study them i think there should
  3471. 1:53:15be a whole field of study into
  3472. 1:53:17understanding
  3473. 1:53:18you know
  3474. 1:53:19identifying memes that
  3475. 1:53:21you know
  3476. 1:53:22above a certain threshold of the
  3477. 1:53:23population agree is a positive happy
  3478. 1:53:25bringing people together meme the kind
  3479. 1:53:27of thing that you know brings families
  3480. 1:53:29together that would normally argue about
  3481. 1:53:30cultural stuff at the table
  3482. 1:53:32at the dinner table um identify those
  3483. 1:53:35memes and figure out what it was what
  3484. 1:53:37was the ingredient that made them spread
  3485. 1:53:39that day um
  3486. 1:53:41and also like uh not just like happiness
  3487. 1:53:44and connection between humans but
  3488. 1:53:46uh
  3489. 1:53:47connection between humans and other ways
  3490. 1:53:49that enables like productivity like
  3491. 1:53:51cooperation
  3492. 1:53:52solving difficult problems and all those
  3493. 1:53:54kinds of stuff um you know this so it's
  3494. 1:53:56not just about let's let's be happy and
  3495. 1:53:59have a fulfilling lives it's also like
  3496. 1:54:01let's build cool yeah
  3497. 1:54:03which is the spirit of collaboration
  3498. 1:54:04which is deeply anti-moloch right that's
  3499. 1:54:07that's uh it's not using competition
  3500. 1:54:09it's like
  3501. 1:54:10you know molech hates collaboration and
  3502. 1:54:12coordination and people working together
  3503. 1:54:14and that's you know again like the
  3504. 1:54:16internet started out as that and it and
  3505. 1:54:18um it could have been that but because
  3506. 1:54:20of the way it was sort of structured um
  3507. 1:54:23in terms of
  3508. 1:54:24uh you know
  3509. 1:54:25very lofty ideal they wanted everything
  3510. 1:54:27to be open source so open source and
  3511. 1:54:29also free
  3512. 1:54:30and but they needed to find a way to pay
  3513. 1:54:32the bills anyway because they were still
  3514. 1:54:33building this on top of our old economic
  3515. 1:54:35system um and so the way they did that
  3516. 1:54:37was through a third-party ad
  3517. 1:54:38advertisement but that meant that things
  3518. 1:54:41were very decoupled you know you've got
  3519. 1:54:43this third-party interest um which means
  3520. 1:54:46that you're then like people having to
  3521. 1:54:47optimize for that and that is the you
  3522. 1:54:49know the actual consumer is actually the
  3523. 1:54:51product
  3524. 1:54:52not the not the
  3525. 1:54:54the the person you're making the thing
  3526. 1:54:56for you're in in the end you start
  3527. 1:54:57making the thing for the advertiser and
  3528. 1:54:59so that's why it then like breaks down
  3529. 1:55:01um
  3530. 1:55:03yeah like it's
  3531. 1:55:05there's no clean solution to this um and
  3532. 1:55:08i
  3533. 1:55:09i it's a really good suggestion by you
  3534. 1:55:10actually to like
  3535. 1:55:12um
  3536. 1:55:13figure out how we can optimize virality
  3537. 1:55:16for
  3538. 1:55:17positive some
  3539. 1:55:18topics i shall be the general of the
  3540. 1:55:21love bot army
  3541. 1:55:23um
  3542. 1:55:24strip you did
  3543. 1:55:26distribute it distribute no okay yeah
  3544. 1:55:28the power just even insane that the palm
  3545. 1:55:30already went to my head no okay you've
  3546. 1:55:33talked about quantifying your thinking
  3547. 1:55:35we've been talking about this sort of
  3548. 1:55:37game theoretic view on life
  3549. 1:55:39and putting probabilities behind
  3550. 1:55:41estimates like if you think about
  3551. 1:55:43different trajectories you can take
  3552. 1:55:44through life just actually analyzing
  3553. 1:55:46life in a game theoretic way like your
  3554. 1:55:48own life like personal life you i think
  3555. 1:55:51you've given an example
  3556. 1:55:52that you had an honest conversation with
  3557. 1:55:54igor about like how long is this
  3558. 1:55:55relationship gonna last
  3559. 1:55:57so similar to our sort of marriage
  3560. 1:55:59problem kind of discussion
  3561. 1:56:01having an honest conversation about the
  3562. 1:56:03probability
  3563. 1:56:04of things that we sometimes are a little
  3564. 1:56:06bit too shy or scared to think of in
  3565. 1:56:09probabilistic terms
  3566. 1:56:11can you speak to that kind of way of
  3567. 1:56:13reasoning
  3568. 1:56:14uh the good and the bad of that
  3569. 1:56:16can you do this kind of thing with human
  3570. 1:56:18relations
  3571. 1:56:20yeah so the
  3572. 1:56:22the scenario you're talking about it was
  3573. 1:56:24like yeah tell me about that yeah uh
  3574. 1:56:27i think he was about a year into our
  3575. 1:56:29relationship
  3576. 1:56:30um and we were
  3577. 1:56:32having a fairly heavy conversation
  3578. 1:56:34because we were trying to figure out
  3579. 1:56:35whether or not i was going to sell my
  3580. 1:56:36apartment well you know
  3581. 1:56:38he had already moved in but i think we
  3582. 1:56:40were just figuring out what like our
  3583. 1:56:42long-term plans would be should we
  3584. 1:56:43should we buy a place together et cetera
  3585. 1:56:46well you guys are having that
  3586. 1:56:47conversation are you like drunk out of
  3587. 1:56:48your mind on wine or is he sober and
  3588. 1:56:50you're actually having a serious like
  3589. 1:56:53how do you get to that conversation
  3590. 1:56:54because most people are kind of afraid
  3591. 1:56:56to have that kind of serious
  3592. 1:56:57conversation
  3593. 1:56:58well
  3594. 1:56:59so you know our relationship was very
  3595. 1:57:01well first of all we were good friends
  3596. 1:57:03for a couple of years before we even you
  3597. 1:57:04know got you know romantic
  3598. 1:57:07um
  3599. 1:57:08and
  3600. 1:57:10when we did get romantic it was very
  3601. 1:57:13clear that this was a big deal it wasn't
  3602. 1:57:16just like another like you know it
  3603. 1:57:17wasn't a random thing
  3604. 1:57:19um and so the probability of it being a
  3605. 1:57:21big deal was high was already very high
  3606. 1:57:24and then we'd been together for a year
  3607. 1:57:26and it had been pretty golden and
  3608. 1:57:28wonderful so you know
  3609. 1:57:30there was a lot of foundation already
  3610. 1:57:32where we felt very comfortable having a
  3611. 1:57:34lot of frank conversations but igor's
  3612. 1:57:36mo has always been much more than mine
  3613. 1:57:38he was always from the outset like just
  3614. 1:57:41in a relationship
  3615. 1:57:42radical transparency and honesty is the
  3616. 1:57:44way because the truth is the truth
  3617. 1:57:46whether you want to hide it or not you
  3618. 1:57:48know but it will come out eventually
  3619. 1:57:50and
  3620. 1:57:51um
  3621. 1:57:53if you aren't able to accept difficult
  3622. 1:57:55things yourself then how could you
  3623. 1:57:56possibly expect to be like the most
  3624. 1:57:58integral version that you know you can't
  3625. 1:58:01the relationship needs this bedrock of
  3626. 1:58:03like honesty as a foundation more than
  3627. 1:58:05anything yeah that's really interesting
  3628. 1:58:07but i would like to push against some of
  3629. 1:58:09those ideas but okay all right but
  3630. 1:58:11that's the down the line just throw them
  3631. 1:58:12up uh i just rudely interrupt
  3632. 1:58:16um and so you know we we've been about
  3633. 1:58:18together for a year and things were good
  3634. 1:58:20and we were having this hard
  3635. 1:58:21conversation
  3636. 1:58:23and and then he was like well okay
  3637. 1:58:25what's the likelihood that we're going
  3638. 1:58:26to be together in three years then
  3639. 1:58:28because i think it was roughly a
  3640. 1:58:29three-year time horizon
  3641. 1:58:30and i was like oh interesting and
  3642. 1:58:32everybody actually wait don't before you
  3643. 1:58:34said out loud let's both write down our
  3644. 1:58:35predictions formally
  3645. 1:58:37um because we'd been like we were just
  3646. 1:58:38getting into like effective altruism and
  3647. 1:58:40rationality at the time which is all
  3648. 1:58:42about making you know formal predictions
  3649. 1:58:43as a means of uh
  3650. 1:58:46measuring your own um
  3651. 1:58:48well your your own foresight essentially
  3652. 1:58:51in a quantified way
  3653. 1:58:53so we like both wrote down our
  3654. 1:58:54percentages and we also did a one-year
  3655. 1:58:58prediction and a 10-year one as well so
  3656. 1:58:59we got percentages for all three
  3657. 1:59:01and then we showed each other um and i
  3658. 1:59:04remember like having this moment of like
  3659. 1:59:05oh because after the ten year and i was
  3660. 1:59:07like oh well i mean
  3661. 1:59:08i love them a lot but like a lot can
  3662. 1:59:10happen in ten years you know and
  3663. 1:59:12um we've only been together for you know
  3664. 1:59:14so i was like i think it's over 50 but
  3665. 1:59:16it's definitely not 90 percent and i
  3666. 1:59:18remember like wrestling i was like oh
  3667. 1:59:19but i don't want him to be hurt i don't
  3668. 1:59:20want him to you know i don't want to
  3669. 1:59:21give a number lower than his and i
  3670. 1:59:22remember thinking ah don't game it
  3671. 1:59:25this is a exercise in radical honesty
  3672. 1:59:28so just give you a real percentage and i
  3673. 1:59:29think mine was like 75
  3674. 1:59:31and then we showed each other and
  3675. 1:59:32luckily we were fairly well aligned um
  3676. 1:59:36and
  3677. 1:59:37but honestly even if we weren't 20
  3678. 1:59:40it definitely it definitely would have i
  3679. 1:59:43if his had been consistently lower than
  3680. 1:59:45mine that would have
  3681. 1:59:46rattled me for sure whereas if it had
  3682. 1:59:48been the other way around i think he
  3683. 1:59:50would he's just kind of like a water off
  3684. 1:59:51the duck's back type of guy he'd be like
  3685. 1:59:53okay well all right we'll figure this
  3686. 1:59:54out well did you guys provide error bars
  3687. 1:59:57on the estimate like the level one they
  3688. 1:59:58became built in we didn't give formal
  3689. 2:00:00plus or minus error bars i didn't draw
  3690. 2:00:02any or anything like that i guess that's
  3691. 2:00:04the question i have is did you feel
  3692. 2:00:08informed enough
  3693. 2:00:10to make such decisions because like i
  3694. 2:00:12feel like if you were if i were to do
  3695. 2:00:14this kind of thing rigorously
  3696. 2:00:17i would want some data
  3697. 2:00:20uh i would want to say one of the
  3698. 2:00:22assumptions you have is you're not that
  3699. 2:00:23different from other relationships right
  3700. 2:00:26and so
  3701. 2:00:27i want to i want to have some data about
  3702. 2:00:29the base rates
  3703. 2:00:30yeah and and also actual trajectories of
  3704. 2:00:33relationships i would love to have
  3705. 2:00:35um like time series data
  3706. 2:00:39about the ways that relationships fall
  3707. 2:00:41apart or prosper
  3708. 2:00:43how they collide with different life
  3709. 2:00:45events
  3710. 2:00:46losses job changes moving
  3711. 2:00:50both partners find jobs
  3712. 2:00:52only one has a job
  3713. 2:00:54i want that kind of data and how often
  3714. 2:00:56the different trajectories change in
  3715. 2:00:58life like
  3716. 2:00:59how
  3717. 2:01:00rep how informative is your past to your
  3718. 2:01:03future that's the whole thing like i can
  3719. 2:01:05you look at my
  3720. 2:01:07life and have a good prediction about in
  3721. 2:01:10terms of my characteristics of my
  3722. 2:01:12relationships what that's going to look
  3723. 2:01:14like in the future or not i don't even
  3724. 2:01:16know the answer that question i'll be
  3725. 2:01:17very ill informed in terms of making the
  3726. 2:01:19probability i would be far
  3727. 2:01:23yeah i i just would be under-informed i
  3728. 2:01:25would be under-informed i'll be
  3729. 2:01:27over-biasing to my prior experiences i
  3730. 2:01:30think
  3731. 2:01:31right but as long as you're aware of
  3732. 2:01:32that and you're honest with yourself i
  3733. 2:01:34still and you're honest with the other
  3734. 2:01:35person say look i have really wide error
  3735. 2:01:36bars on this for the following reasons
  3736. 2:01:39that's okay i still think it's better
  3737. 2:01:41than not trying to quantify it at all if
  3738. 2:01:43you're trying to make really major
  3739. 2:01:45irreversible life decisions and i feel
  3740. 2:01:47also the romantic nature of that
  3741. 2:01:48question for me personally i would
  3742. 2:01:51i try to live my life thinking it's very
  3743. 2:01:53close to 100 percent
  3744. 2:01:55like
  3745. 2:01:56allowing myself actually the this is
  3746. 2:01:58this is the difficulty of this is
  3747. 2:02:00allowing myself to think differently
  3748. 2:02:03i feel like has a psychological
  3749. 2:02:05consequence that's where that's what's
  3750. 2:02:07one of my pushbacks against radical
  3751. 2:02:08honesty
  3752. 2:02:10is uh this one one particular
  3753. 2:02:13perspective so you're saying you would
  3754. 2:02:15you would rather give a falsely high
  3755. 2:02:17percentage
  3756. 2:02:18to your partner going back to uh
  3757. 2:02:21in order to survive the traditional
  3758. 2:02:23optimism
  3759. 2:02:25yes of uh fake it till you make it about
  3760. 2:02:29the positive the power of the positive
  3761. 2:02:35well so that and this comes back to this
  3762. 2:02:36idea of useful fictions yeah right and i
  3763. 2:02:41i agree i don't think there's a clear
  3764. 2:02:42answer to this and i think it's actually
  3765. 2:02:43quite subjective some people this works
  3766. 2:02:45better for than others
  3767. 2:02:46um
  3768. 2:02:48you know to be clear igor and i weren't
  3769. 2:02:49doing this
  3770. 2:02:50formal prediction in it like we we did
  3771. 2:02:52it with very much tongue-in-cheek
  3772. 2:02:55it wasn't like we were going to make i
  3773. 2:02:57don't think it even would have me
  3774. 2:02:58drastically changed what we decided to
  3775. 2:03:00do even we kind of just did it more as a
  3776. 2:03:03fun exercise um but the consequence of
  3777. 2:03:05that fun exercise you really actually
  3778. 2:03:07kind of there was a deep honesty to it
  3779. 2:03:09too exactly it was a deep and it was it
  3780. 2:03:11was just like this moment of reflection
  3781. 2:03:13i'm like oh wow i actually have to think
  3782. 2:03:14like through this quite critically and
  3783. 2:03:16so on
  3784. 2:03:17and
  3785. 2:03:19and it's also what was interesting was
  3786. 2:03:21like you know i got to like check in
  3787. 2:03:22with what what my what my desires were
  3788. 2:03:25so there was one thing of like what my
  3789. 2:03:27actual prediction is but what are my
  3790. 2:03:28desires and could these desires be
  3791. 2:03:30affecting my predictions and so on and
  3792. 2:03:32you know that's a that's a method of
  3793. 2:03:34rationality and i personally don't think
  3794. 2:03:35it loses anything in terms of i didn't
  3795. 2:03:37take any of the magic away from our
  3796. 2:03:38relationship quite the opposite like it
  3797. 2:03:40brought us closer together because it
  3798. 2:03:42was like we did this weird fun thing um
  3799. 2:03:44that i appreciate a lot of people find
  3800. 2:03:45quite strange
  3801. 2:03:47um and i think it was somewhat you know
  3802. 2:03:50unique in our relationship that both of
  3803. 2:03:52us are very
  3804. 2:03:53you know we both love numbers we both
  3805. 2:03:54love statistics we're both poker players
  3806. 2:03:57um
  3807. 2:03:58so this this was kind of like our safe
  3808. 2:04:00space anyway
  3809. 2:04:01for others you know one part one partner
  3810. 2:04:03like really
  3811. 2:04:04might not like that kind of stuff at all
  3812. 2:04:05in which cases it's not a good exercise
  3813. 2:04:07to do you know i don't recommend it to
  3814. 2:04:08everybody um
  3815. 2:04:10but i do think there's
  3816. 2:04:12you know it's interesting sometimes to
  3817. 2:04:14poke holes in the or you know
  3818. 2:04:16probe at these
  3819. 2:04:18things that we consider so sacred that
  3820. 2:04:20we can't try to quantify them
  3821. 2:04:23but which is interesting because that's
  3822. 2:04:24intention with like the idea of what we
  3823. 2:04:26just talked about with beauty and like
  3824. 2:04:27what makes something beautiful the fact
  3825. 2:04:28that you can't measure everything about
  3826. 2:04:30it um and perhaps something shouldn't be
  3827. 2:04:32tried to make you know maybe it's wrong
  3828. 2:04:33to
  3829. 2:04:34completely try and value the utilitarian
  3830. 2:04:36you know put a utilitarian frame of
  3831. 2:04:39measuring the
  3832. 2:04:40the utility of a tree in in its entirety
  3833. 2:04:43i don't know maybe we should maybe we
  3834. 2:04:44shouldn't i'm ambivalent on that but
  3835. 2:04:48overall
  3836. 2:04:49people have too many biases
  3837. 2:04:52people are overly biased against
  3838. 2:04:55trying to
  3839. 2:04:56do like a quantified cost-benefit
  3840. 2:04:58analysis on really tough life decisions
  3841. 2:05:01um you know they're like oh just go with
  3842. 2:05:03your gut it's like well sure but guts
  3843. 2:05:05are our intuitions are best suited for
  3844. 2:05:08things that we've got tons of experience
  3845. 2:05:09in
  3846. 2:05:10then we can really you know trust on it
  3847. 2:05:11if it's a decision we've made many times
  3848. 2:05:13but if it's like should i marry this
  3849. 2:05:15person or should i buy this house over
  3850. 2:05:18that house you only make those decisions
  3851. 2:05:19a couple of times in your life maybe um
  3852. 2:05:22well i i would love to know
  3853. 2:05:25this there's a balance that probably is
  3854. 2:05:27a personal balance of strike
  3855. 2:05:29is the amount of rationality you you
  3856. 2:05:31apply
  3857. 2:05:33to a question versus
  3858. 2:05:35um
  3859. 2:05:36the useful fiction
  3860. 2:05:38the
  3861. 2:05:38fake it till you make it for example
  3862. 2:05:41just talking to soldiers in ukraine
  3863. 2:05:43you ask them
  3864. 2:05:44what's the probability of
  3865. 2:05:47you winning ukraine winning
  3866. 2:05:51um almost everybody i talk to is a
  3867. 2:05:54hundred percent
  3868. 2:05:55wow
  3869. 2:05:56and you listen to the experts right they
  3870. 2:05:59they say all kinds of stuff right they
  3871. 2:06:01are
  3872. 2:06:02they
  3873. 2:06:03first of all the morale there is higher
  3874. 2:06:05than probably and i've i've never been
  3875. 2:06:07to a war zone before this
  3876. 2:06:09but i've read about
  3877. 2:06:11many wars and i think the morale in
  3878. 2:06:13ukraine is higher than almost anywhere
  3879. 2:06:16i've read about it's every single person
  3880. 2:06:18in the country is proud to fight for
  3881. 2:06:20their country
  3882. 2:06:22everybody not just soldiers not
  3883. 2:06:24everybody why do you think that is
  3884. 2:06:26specifically more than you know in other
  3885. 2:06:28words
  3886. 2:06:31um i think because there's uh perhaps
  3887. 2:06:34a dormant desire
  3888. 2:06:36for the citizens of this country
  3889. 2:06:39to find the identity of this country
  3890. 2:06:41because it's been
  3891. 2:06:43going through this 30-year process of
  3892. 2:06:45different factions and political
  3893. 2:06:47bickering
  3894. 2:06:48and they haven't had as they talk about
  3895. 2:06:50they haven't had their independence war
  3896. 2:06:52they say all great nations have had an
  3897. 2:06:54independence war they had to fight
  3898. 2:06:57for their independence for the discovery
  3899. 2:06:59of the identity of the core of the
  3900. 2:07:01ideals that unify us and they haven't
  3901. 2:07:03had that there's constantly been
  3902. 2:07:05factions there's been divisions there's
  3903. 2:07:07been pressures from empires from the
  3904. 2:07:09united states and from russia from nato
  3905. 2:07:13and europe everybody telling them what
  3906. 2:07:15to do now they want to discover who they
  3907. 2:07:17are and there's that kind of sense that
  3908. 2:07:19we're going to fight for the safety of
  3909. 2:07:22our homeland but we're also going to
  3910. 2:07:24fight for our identity and that
  3911. 2:07:29on top of the fact that there's just
  3912. 2:07:32if you look at the history of ukraine
  3913. 2:07:33and there's certain other countries like
  3914. 2:07:35this
  3915. 2:07:36there are certain cultures are feisty
  3916. 2:07:39in their pride
  3917. 2:07:42of being part of being the citizens of
  3918. 2:07:44that nation ukraine is that
  3919. 2:07:47poland was that there's you just look at
  3920. 2:07:48history in certain countries you do not
  3921. 2:07:51want to occupy right
  3922. 2:07:54i mean both stalin and hitler talked
  3923. 2:07:56about poland in this way they're like
  3924. 2:07:57this is
  3925. 2:07:58this is a big problem if we occupy this
  3926. 2:08:01land for prolonged periods of time
  3927. 2:08:02they're going to be a pain in their ass
  3928. 2:08:04like they're not going to be want to be
  3929. 2:08:06occupied and certain other countries are
  3930. 2:08:08like pragmatic they're like well you
  3931. 2:08:10know leaders come and go i guess this is
  3932. 2:08:12good you know they're
  3933. 2:08:14ukraine just doesn't have ukrainians
  3934. 2:08:17those team throughout the 20th century
  3935. 2:08:19don't seem to be the kind of people that
  3936. 2:08:20just like sit calmly
  3937. 2:08:23and let the quote unquote occupiers
  3938. 2:08:26um in in uh impose their that that's
  3939. 2:08:30interesting though because you said it's
  3940. 2:08:31you know it's always been under conflict
  3941. 2:08:33and leaders have come and gone yeah so
  3942. 2:08:35you would expect them to actually be the
  3943. 2:08:36opposite under that yeah
  3944. 2:08:38because well because they're it's a very
  3945. 2:08:40fertile land
  3946. 2:08:42it's great for agriculture so a lot of
  3947. 2:08:43people want to i mean i think they've
  3948. 2:08:45developed this culture because they've
  3949. 2:08:46constantly been occupied by different
  3950. 2:08:48people for different peoples
  3951. 2:08:50and so
  3952. 2:08:52maybe there is something to that where
  3953. 2:08:55you've constantly had to
  3954. 2:08:56feel
  3955. 2:08:58like within the blood of the generations
  3956. 2:09:00there's the struggle for
  3957. 2:09:02um against the man
  3958. 2:09:04against the imposition of
  3959. 2:09:07rules against oppression and all that
  3960. 2:09:08kind of stuff and that stays with them
  3961. 2:09:10so there's a there's a will there um but
  3962. 2:09:13you know a lot of other aspects are also
  3963. 2:09:15part of that that has to do with the
  3964. 2:09:18reverse smaller kind of situation where
  3965. 2:09:20social media has definitely played a
  3966. 2:09:21part of it um also different charismatic
  3967. 2:09:24individuals have had to play a part the
  3968. 2:09:27fact that uh the president of the nation
  3969. 2:09:29zelonski
  3970. 2:09:31stayed in kiev during the
  3971. 2:09:34the invasion
  3972. 2:09:35uh was is a huge inspiration to them
  3973. 2:09:37because
  3974. 2:09:39most leaders as you could imagine
  3975. 2:09:41when the capital of the nation is under
  3976. 2:09:43attack
  3977. 2:09:44the wise thing the smart thing that the
  3978. 2:09:46united states advised zalensky to do is
  3979. 2:09:49to flee and to to be the leader of the
  3980. 2:09:52nation from a from a distant place right
  3981. 2:09:54he said that i'm staying put
  3982. 2:09:58you know everyone around him there was a
  3983. 2:10:00pressure to leave
  3984. 2:10:01and he didn't and that that
  3985. 2:10:04in you know those singular acts
  3986. 2:10:06um really can unify a nation there's a
  3987. 2:10:09lot of people that criticize the
  3988. 2:10:10landscape within ukraine uh before the
  3989. 2:10:13war is very unpopular even still
  3990. 2:10:17but they put that aside for the
  3991. 2:10:19for the especially that singular act of
  3992. 2:10:22staying in the capital
  3993. 2:10:24yeah
  3994. 2:10:24a lot of those kinds of things
  3995. 2:10:26come together to to to create something
  3996. 2:10:30within people
  3997. 2:10:33these things always
  3998. 2:10:35of course though like
  3999. 2:10:36the you know which
  4000. 2:10:39how zoomed out of a view do you want to
  4001. 2:10:42take
  4002. 2:10:43because yeah you describe it it's like
  4003. 2:10:45an antimonic thing happened within
  4004. 2:10:47ukraine because it brought the ukrainian
  4005. 2:10:48people together in order to fight a
  4006. 2:10:50common enemy
  4007. 2:10:51maybe that's a good thing maybe that's a
  4008. 2:10:52bad thing in the end we don't know how
  4009. 2:10:54this is all going to play out right um
  4010. 2:10:56but if you zoom it out from
  4011. 2:10:58the level you know on a global level
  4012. 2:11:01they're coming together to you know
  4013. 2:11:04fight
  4014. 2:11:06that
  4015. 2:11:09that could you know that could make a
  4016. 2:11:10conflict larger you know what i mean i
  4017. 2:11:13don't i don't know what the right answer
  4018. 2:11:14is here um yeah it seems like a good
  4019. 2:11:16thing that they came together i but i
  4020. 2:11:17like we don't know how this is all going
  4021. 2:11:19to play out if this all turns into
  4022. 2:11:20nuclear war we'll be like okay that was
  4023. 2:11:22the bad that was the oh yeah so i was
  4024. 2:11:23describing the the reverse molec for the
  4025. 2:11:26local level exactly now this is where
  4026. 2:11:29the experts come in
  4027. 2:11:31and they say well
  4028. 2:11:33if you uh
  4029. 2:11:34channel most of the resources the nation
  4030. 2:11:37and the nations supporting
  4031. 2:11:39ukraine into the war effort
  4032. 2:11:42are you not
  4033. 2:11:44beating the drums of war that is much
  4034. 2:11:46bigger than ukraine in fact
  4035. 2:11:49even the ukrainian leaders are speaking
  4036. 2:11:51of it this way this is not a war between
  4037. 2:11:54two nations
  4038. 2:11:55this is
  4039. 2:11:57this is the early days of a world war
  4040. 2:12:00if we don't play this correctly yes
  4041. 2:12:03uh and they
  4042. 2:12:04we need cool heads from our leaders
  4043. 2:12:07so you from ukraine's perspective we
  4044. 2:12:09need to win ukraine needs to win the war
  4045. 2:12:12because what is winning the war mean
  4046. 2:12:15is
  4047. 2:12:16coming up coming to
  4048. 2:12:18peace negotiations an agreement
  4049. 2:12:21that guarantees no more invasions and
  4050. 2:12:24then you make an agreement about
  4051. 2:12:26what land belongs to who right and that
  4052. 2:12:28that's you stop that and and
  4053. 2:12:31to sh basically
  4054. 2:12:32from their perspective is you want to
  4055. 2:12:34demonstrate to the rest of the world
  4056. 2:12:36who's watching carefully including
  4057. 2:12:37russia and china
  4058. 2:12:39and different players on the
  4059. 2:12:40geopolitical stage that this kind of
  4060. 2:12:43conflict is not going to be productive
  4061. 2:12:45right if you engage in it so you want to
  4062. 2:12:47teach everybody a lesson let's not do
  4063. 2:12:49world war three it's not it's gonna be
  4064. 2:12:51bad for everybody it's a it's a lose
  4065. 2:12:53lose
  4066. 2:12:54deep lose lose
  4067. 2:12:56doesn't matter
  4068. 2:12:57so but they you know uh but it and i
  4069. 2:13:00think that's actually
  4070. 2:13:03a correct
  4071. 2:13:05uh when i zoom out
  4072. 2:13:07i mean
  4073. 2:13:0899 of what i think about is just
  4074. 2:13:10individual human beings and human lives
  4075. 2:13:12and just that war is horrible
  4076. 2:13:14but when you zoom out and think from a
  4077. 2:13:16geopolitics perspective we should
  4078. 2:13:19realize that
  4079. 2:13:20it's entirely possible that we will see
  4080. 2:13:22a world war iii in the 21st century
  4081. 2:13:26and this is like a dress rehearsal for
  4082. 2:13:29that and so the way
  4083. 2:13:31we play this
  4084. 2:13:33as a as a human civilization will will
  4085. 2:13:36define whether we do or don't have a
  4086. 2:13:38world war three
  4087. 2:13:40um you know
  4088. 2:13:42um
  4089. 2:13:44how we discuss war
  4090. 2:13:47how we discuss nuclear war the kind of
  4091. 2:13:49leaders we
  4092. 2:13:52we elect and uh prop up the kind of
  4093. 2:13:55memes
  4094. 2:13:56we circulate because you have to be very
  4095. 2:13:59careful when you're being
  4096. 2:14:02pro-ukraine for example you have to
  4097. 2:14:04realize that you're being
  4098. 2:14:07you are also indirectly
  4099. 2:14:10feeding
  4100. 2:14:11the ever increasing military industrial
  4101. 2:14:13complex
  4102. 2:14:15so be extremely careful
  4103. 2:14:17that
  4104. 2:14:20when you say pro ukraine or pro
  4105. 2:14:23anybody
  4106. 2:14:24your
  4107. 2:14:25you're pro human beings
  4108. 2:14:27uh not pro the machine
  4109. 2:14:30exactly that uh
  4110. 2:14:32that uh creates narratives that says
  4111. 2:14:35it's pro-human beings but it's actually
  4112. 2:14:37if you look at the raw
  4113. 2:14:39use of
  4114. 2:14:40uh funds and resources it's actually
  4115. 2:14:43probe making weapons and shooting
  4116. 2:14:45bullets and dropping bombs right the
  4117. 2:14:47real we have to just
  4118. 2:14:49somehow get the meme into everyone's
  4119. 2:14:51heads that the real enemy is war itself
  4120. 2:14:54that's the enemy we need to defeat
  4121. 2:14:56and
  4122. 2:14:58that doesn't mean to say that you know
  4123. 2:15:00there isn't justification for
  4124. 2:15:02small local
  4125. 2:15:03scenarios you know adversarial
  4126. 2:15:05adversarial conflicts you know if you
  4127. 2:15:07have a a leader who is starting wars
  4128. 2:15:10you know they're on the side of team war
  4129. 2:15:12basically it's not that they're on the
  4130. 2:15:14side of team country whatever that
  4131. 2:15:15country is it's they're on the side of
  4132. 2:15:16team war so that needs to be stopped and
  4133. 2:15:19put down but you also have to find a
  4134. 2:15:21ways that your
  4135. 2:15:23corrective measure doesn't actually then
  4136. 2:15:25end up being co-opted by the war machine
  4137. 2:15:27and creating greater war again the
  4138. 2:15:29playing field is finite the scale of
  4139. 2:15:33in conflict is now getting so big that
  4140. 2:15:35you know the weapons that can be used
  4141. 2:15:37are so mass destructive
  4142. 2:15:39um
  4143. 2:15:40that we can't afford another giant
  4144. 2:15:41conflict we just we won't make it
  4145. 2:15:44what existential threat in terms of us
  4146. 2:15:46not making it are you most worried about
  4147. 2:15:49what existential threat to human
  4148. 2:15:50civilization we got like a dark path huh
  4149. 2:15:53this is good but no well no it's a dark
  4150. 2:15:56no it's like while we're in the summer
  4151. 2:15:58place we might as well
  4152. 2:16:01uh
  4153. 2:16:02some of my best friends are dark paths
  4154. 2:16:04um
  4155. 2:16:06uh what what worries you the most well
  4156. 2:16:08mentioned uh asteroids will mention agi
  4157. 2:16:11uh nuclear weapons
  4158. 2:16:14the one that's on
  4159. 2:16:15my mind the most
  4160. 2:16:17mostly because i think it's the one
  4161. 2:16:18where we have actually a real chance to
  4162. 2:16:20move the needle on in a positive
  4163. 2:16:22direction or more specifically stop some
  4164. 2:16:25really bad things from happening really
  4165. 2:16:27dumb avoidable things is uh
  4166. 2:16:30bio bio risks
  4167. 2:16:33um
  4168. 2:16:34so what in what what kind of violence
  4169. 2:16:37and so many fun options
  4170. 2:16:39so many so of course like we have
  4171. 2:16:40natural risks from natural pandemics you
  4172. 2:16:43know naturally occurring viruses or
  4173. 2:16:45pathogens
  4174. 2:16:47and then also as time and technology
  4175. 2:16:49goes on and technology becomes more and
  4176. 2:16:50more democratized and you know into the
  4177. 2:16:52hands of more people
  4178. 2:16:53the risk of synthetic pathogens um
  4179. 2:16:56you know and whether or not you fall
  4180. 2:16:58into the camp of covid was you know gain
  4181. 2:17:01a function accidental lab leak or
  4182. 2:17:03whether it was purely naturally
  4183. 2:17:05occurring
  4184. 2:17:07either way
  4185. 2:17:09we are facing a future where
  4186. 2:17:13synthetic pathogens or like art human
  4187. 2:17:16human meddled with pathogens um either
  4188. 2:17:18accidentally get out or
  4189. 2:17:20get into the hands of bad actors who you
  4190. 2:17:23know whether they're omnicidal maniacs
  4191. 2:17:25you know um either way
  4192. 2:17:28and so that means we need more
  4193. 2:17:29robustness for that and you would think
  4194. 2:17:31that us having this nice little dry run
  4195. 2:17:33which is what as awful as covid was
  4196. 2:17:36um you know and all those poor people
  4197. 2:17:38that died it was still like
  4198. 2:17:41like child's play compared to what a
  4199. 2:17:43future one could be in terms of fatality
  4200. 2:17:45rate
  4201. 2:17:46um
  4202. 2:17:47and so you'd think that we would then
  4203. 2:17:49becoming we'd be much more robust in our
  4204. 2:17:51pandemic preparedness
  4205. 2:17:52um
  4206. 2:17:53and
  4207. 2:17:54meanwhile the budget uh
  4208. 2:17:57in the last two years for the u.s
  4209. 2:17:59um sorry they just did this uh
  4210. 2:18:02i can't remember the name of what the
  4211. 2:18:04actual budget was but it was like a
  4212. 2:18:05multi-trillion dollar budget that the us
  4213. 2:18:07just set aside
  4214. 2:18:08and originally in that you know
  4215. 2:18:10considering that covert cost multiple
  4216. 2:18:12trillions to the economy right
  4217. 2:18:14the original allocation in this this new
  4218. 2:18:16budget for future pandemic preparedness
  4219. 2:18:18was 60 billion so tiny proportion of it
  4220. 2:18:22that proceeded to get whittled down to
  4221. 2:18:24like
  4222. 2:18:2530 billion
  4223. 2:18:27to 15 billion all the way down to 2
  4224. 2:18:29billion out of multiple trillions for a
  4225. 2:18:31thing that has just cost us multiple
  4226. 2:18:33trillions we've just finished we barely
  4227. 2:18:35even we're not even really out of it
  4228. 2:18:37it basically got whittled down to
  4229. 2:18:38nothing because for some reason people
  4230. 2:18:40think that
  4231. 2:18:41all right we've got the pandemic out the
  4232. 2:18:42way that was that one
  4233. 2:18:44and the reason for that is that people
  4234. 2:18:46are and and i say this with all due
  4235. 2:18:49respect to a lot of the science
  4236. 2:18:50community but they are there's an
  4237. 2:18:51immense amount of naivety about
  4238. 2:18:54they they they think that nature is the
  4239. 2:18:57main risk moving forward and it really
  4240. 2:18:59isn't
  4241. 2:19:00um and i think nothing demonstrates this
  4242. 2:19:02more than this uh this project that i
  4243. 2:19:04was just reading about that's sort of
  4244. 2:19:06being proposed right now called um
  4245. 2:19:08deep vision
  4246. 2:19:10and the idea is to go out into the wilds
  4247. 2:19:12and we're not talking about it's like
  4248. 2:19:13you know within cities like deep into
  4249. 2:19:15like caves that people don't go to deep
  4250. 2:19:17into the arctic wherever scour the earth
  4251. 2:19:20for whatever the most dangerous possible
  4252. 2:19:23pathogens could be that they can find
  4253. 2:19:26and then
  4254. 2:19:27not only do you know try and find these
  4255. 2:19:29bring samples of them back to
  4256. 2:19:31laboratories
  4257. 2:19:32and again whether you think covered with
  4258. 2:19:34a lab leak or not
  4259. 2:19:36i'm not going to get into that but we
  4260. 2:19:37have historically had so many as a
  4261. 2:19:39civilization we've had so many lab leaks
  4262. 2:19:42from even like the highest level
  4263. 2:19:43security things like it it just it
  4264. 2:19:46people should go and just read it it's
  4265. 2:19:47like it's like a comedy show of just how
  4266. 2:19:49many they are how leaky these these labs
  4267. 2:19:51are even when they do their best efforts
  4268. 2:19:53um so bring these things then back to
  4269. 2:19:56civilization
  4270. 2:19:57that's step one of the badness the the
  4271. 2:19:59next plan the next step would be to then
  4272. 2:20:01categorize them do experiments on them
  4273. 2:20:03and categorize them by their level of
  4274. 2:20:05potential pandemic lethality
  4275. 2:20:07and then the piece of resistance on this
  4276. 2:20:09plan is to then publish that information
  4277. 2:20:13freely on the internet about all these
  4278. 2:20:15pathogens including their genome which
  4279. 2:20:16is literally like the building
  4280. 2:20:18instructions of how to do them
  4281. 2:20:20on the internet and this is something
  4282. 2:20:21that genuinely
  4283. 2:20:23a pocket of the like bio
  4284. 2:20:26of the scientific community thinks is a
  4285. 2:20:28good idea
  4286. 2:20:29and i think on expectation like the and
  4287. 2:20:32their argument is is that oh this is
  4288. 2:20:34good because you know it might buy us
  4289. 2:20:35some time to buy
  4290. 2:20:36to development vaccines which okay sure
  4291. 2:20:39maybe would have made sense prior to
  4292. 2:20:41mrna technology but you know like they
  4293. 2:20:43mrna we can bank we can develop a
  4294. 2:20:45vaccine now when we find a new uh
  4295. 2:20:48pathogen within a couple of days now
  4296. 2:20:50then there's all the trials and so on
  4297. 2:20:51but those trials would have to happen
  4298. 2:20:52anyway in the case of a brand new thing
  4299. 2:20:54so you're saving maybe a couple of days
  4300. 2:20:56so that's the upside meanwhile the
  4301. 2:20:58downside is you're not only giving
  4302. 2:21:01you're bringing the risk of these
  4303. 2:21:02pathogens of like getting leaked but
  4304. 2:21:04you're literally handing it out
  4305. 2:21:06to
  4306. 2:21:07every bad actor on earth who would be
  4307. 2:21:09doing cartwheels and i'm talking about
  4308. 2:21:10like kim jong-un
  4309. 2:21:12isis people who like want they think the
  4310. 2:21:15rest of the world is their enemy um and
  4311. 2:21:17in some cases they think that killing it
  4312. 2:21:19themselves is is is like a noble cause
  4313. 2:21:22and you're literally giving them the
  4314. 2:21:23building blocks of how to do this it's
  4315. 2:21:24the most batshit i'd ever heard like on
  4316. 2:21:27expectation it's probably like minus ev
  4317. 2:21:29of like multiple billions of lives if
  4318. 2:21:31they actually succeeded in doing this
  4319. 2:21:33certainly certainly in the tens or
  4320. 2:21:34hundreds of millions so the cost benefit
  4321. 2:21:36is so unbelievably it makes no sense and
  4322. 2:21:39i was like trying to wrap my head around
  4323. 2:21:41like why why like
  4324. 2:21:43what's going wrong in people's minds to
  4325. 2:21:44think that this is a good idea
  4326. 2:21:46and it's not that it's malice or
  4327. 2:21:48anything like that it's i think it's
  4328. 2:21:50that
  4329. 2:21:51people don't
  4330. 2:21:53you know the proponents they don't
  4331. 2:21:55it they're actually overly naive about
  4332. 2:21:58the interactions of humanity and well
  4333. 2:22:00like that that there are bad actors who
  4334. 2:22:02will use this for bad things because not
  4335. 2:22:05only will it um
  4336. 2:22:07if you publish this information even if
  4337. 2:22:09a bad actor couldn't physically make it
  4338. 2:22:11themselves which given you know in 10
  4339. 2:22:13years time like
  4340. 2:22:14the technologies are getting cheaper and
  4341. 2:22:16easier uh to use but even if they
  4342. 2:22:18couldn't make it they could now bluff it
  4343. 2:22:20like what would you do if there's like
  4344. 2:22:21some deadly new virus that um
  4345. 2:22:24we were published on the internet in
  4346. 2:22:26terms of its building blocks kim jong-un
  4347. 2:22:28could be like hey if you don't you know
  4348. 2:22:30let me build my nuclear weapons i'm
  4349. 2:22:31going to release this i've managed to
  4350. 2:22:32build it well now he's actually got
  4351. 2:22:34incredible bluff we don't know you know
  4352. 2:22:36and so that's it's just like handing the
  4353. 2:22:38keys sending weapons of mass destruction
  4354. 2:22:40to people
  4355. 2:22:41though makes no sense the possible i
  4356. 2:22:43agree with you but the possible
  4357. 2:22:46world in which you might make sense
  4358. 2:22:48is if the um
  4359. 2:22:51the good guys which is a whole another
  4360. 2:22:52problem defining who the good guys are
  4361. 2:22:55but the good guys are like
  4362. 2:22:58an order of magnitude higher competence
  4363. 2:23:01and so they can stay
  4364. 2:23:03ahead
  4365. 2:23:04of the bad actors
  4366. 2:23:06by just being very good at the defense
  4367. 2:23:10by very good not meaning like a little
  4368. 2:23:13bit better but an order of magnitude
  4369. 2:23:14better
  4370. 2:23:15but of course the question is in each of
  4371. 2:23:17those individual disciplines
  4372. 2:23:20is that feasible can you can the bad
  4373. 2:23:22actors even if they don't have the
  4374. 2:23:24competence leap frog to the place where
  4375. 2:23:27uh the good guys are
  4376. 2:23:29yeah i mean i would agree in principle
  4377. 2:23:31um
  4378. 2:23:32with pertaining to this like particular
  4379. 2:23:34plan of like
  4380. 2:23:37that you know with the thing i described
  4381. 2:23:38this deep vision thing where at least
  4382. 2:23:39then that would maybe make sense for
  4383. 2:23:41steps one and step two of like getting
  4384. 2:23:42the information but then
  4385. 2:23:44why would you release it the information
  4386. 2:23:46to your literal enemies you know that's
  4387. 2:23:47that makes
  4388. 2:23:48that
  4389. 2:23:49that doesn't fit at all in that
  4390. 2:23:51perspective of like trying to be ahead
  4391. 2:23:53of them you're literally handing them
  4392. 2:23:54the weapon but there's different levels
  4393. 2:23:55of release right so
  4394. 2:23:57uh there's the kind of secrecy where you
  4395. 2:24:00don't give it to anybody but there's a
  4396. 2:24:02release where you incrementally give it
  4397. 2:24:05to
  4398. 2:24:06like major labs so it's not public
  4399. 2:24:08release but it's like you're giving it
  4400. 2:24:09to yeah there's different layers of
  4401. 2:24:11reasonability but but the problem there
  4402. 2:24:13is it's going to if if you go anywhere
  4403. 2:24:16beyond like complete secrecy it's going
  4404. 2:24:18to leak
  4405. 2:24:19that's the thing it's very hard to keep
  4406. 2:24:20secrets and so that's the information is
  4407. 2:24:23so you might as well release it to the
  4408. 2:24:25public it's that argument so you either
  4409. 2:24:27go complete secrecy
  4410. 2:24:29or you release it to the public
  4411. 2:24:31so which is essentially the same thing
  4412. 2:24:33it's going to leak anyway
  4413. 2:24:36if you don't do complete secrecy right
  4414. 2:24:38which is why you shouldn't get the
  4415. 2:24:39information in the first place yeah i
  4416. 2:24:40mean what in that
  4417. 2:24:42i think
  4418. 2:24:43well that's a solution yeah the solution
  4419. 2:24:45is either don't get the information in
  4420. 2:24:46the first place or be
  4421. 2:24:48keep keep it incredibly
  4422. 2:24:50incredibly contained see i think
  4423. 2:24:53i think it really matters which
  4424. 2:24:54discipline we're talking about so in the
  4425. 2:24:56case of biology i do think you're a very
  4426. 2:24:58right we shouldn't even be
  4427. 2:25:01it should be forbidden to even like
  4428. 2:25:04think about
  4429. 2:25:06that meaning don't coll don't just even
  4430. 2:25:08collect information but like don't do i
  4431. 2:25:11mean gain a functional research is a
  4432. 2:25:12really iffy area
  4433. 2:25:14like you start i mean it's all about
  4434. 2:25:16cost benefits right there are some
  4435. 2:25:18scenarios where i could imagine the cost
  4436. 2:25:19benefit of a gain of function research
  4437. 2:25:21is very very clear
  4438. 2:25:23where you've evaluated all the potential
  4439. 2:25:24risks factored in the probability that
  4440. 2:25:26things can go wrong and like you know
  4441. 2:25:28not only known unknowns but unknown
  4442. 2:25:30unknowns as well tried to quantify that
  4443. 2:25:32and then even then it's like orders of
  4444. 2:25:33magnitude better to do that i'm behind
  4445. 2:25:36that argument but the point is is that
  4446. 2:25:37there's this like naivety that's
  4447. 2:25:39preventing people from even doing the
  4448. 2:25:40cost benefit properly on a lot of the
  4449. 2:25:42things because
  4450. 2:25:44you know the site this i i get it the
  4451. 2:25:45science community there
  4452. 2:25:47again i don't want to bucket the science
  4453. 2:25:48community but like some people within
  4454. 2:25:50the science community just think that
  4455. 2:25:52everyone's everyone's good and everyone
  4456. 2:25:54just cares about getting knowledge and
  4457. 2:25:55doing the best for the world and
  4458. 2:25:56unfortunately that's not the case i wish
  4459. 2:25:58we lived in that world but we don't
  4460. 2:26:00yeah i mean there's a lie listen i've
  4461. 2:26:02been criticizing the science community
  4462. 2:26:05broadly quite a bit there's so many
  4463. 2:26:07brilliant people that brilliance is
  4464. 2:26:09somehow hindering sometimes because it
  4465. 2:26:11has a bunch of blind spots and then you
  4466. 2:26:13start to look at a history of science
  4467. 2:26:16how easily has been used by dictators to
  4468. 2:26:19any conclusion they want and it's
  4469. 2:26:21it's it's dark how you can use brilliant
  4470. 2:26:24people that like playing the little game
  4471. 2:26:26of science because it is a fun game
  4472. 2:26:28you know you're building you're going to
  4473. 2:26:30conferences you're building on top of
  4474. 2:26:31each other's ideas as breakthroughs hi i
  4475. 2:26:34think i've realized how this particular
  4476. 2:26:36molecule works and i could do this kind
  4477. 2:26:37of experiment and everyone else is
  4478. 2:26:39impressed ooh cool no i think you're
  4479. 2:26:41wrong let me show you why you're wrong
  4480. 2:26:42and that little game everyone gets
  4481. 2:26:44really excited and they get excited or i
  4482. 2:26:46came up with a pill that solves this
  4483. 2:26:47problem and it's going to help a bunch
  4484. 2:26:48of people and i came up with a giant
  4485. 2:26:50study that shows the exact probability
  4486. 2:26:53it's going to help or not and you get
  4487. 2:26:54lost in this game and you forget to
  4488. 2:26:56realize
  4489. 2:26:58this game just like malik
  4490. 2:27:00it can have like
  4491. 2:27:03unintended yeah
  4492. 2:27:04unintended consequences that might
  4493. 2:27:06destroy human civilization right uh or
  4494. 2:27:11or divide human civilization or have
  4495. 2:27:14a
  4496. 2:27:15geopolitical consequences i mean the the
  4497. 2:27:18effects of i mean it's just so
  4498. 2:27:20the most destructive effects of covid
  4499. 2:27:22have nothing to do with the with the
  4500. 2:27:24biology of the virus it seems like uh
  4501. 2:27:27it's i mean i could just list them
  4502. 2:27:28forever but like one of them is the
  4503. 2:27:31complete distrust of public institutions
  4504. 2:27:33uh the other one is because of that
  4505. 2:27:35public distrust i feel like if a much
  4506. 2:27:37worse pandemic came along
  4507. 2:27:39we as a world have not cried wolf
  4508. 2:27:42and when if an actual wolf now comes
  4509. 2:27:45people will be like masks
  4510. 2:27:48vaccines it yeah everything
  4511. 2:27:49and they they won't be
  4512. 2:27:51they'll distrust every single thing that
  4513. 2:27:53any major institution is going to tell
  4514. 2:27:55them and
  4515. 2:27:56because that's the thing like that
  4516. 2:27:59there were certain actions
  4517. 2:28:01made by
  4518. 2:28:03certain you know health public figures
  4519. 2:28:06where they told they very knowingly told
  4520. 2:28:09it was a white lie it was intended in
  4521. 2:28:11the best possible ways such as
  4522. 2:28:13you know
  4523. 2:28:14early on
  4524. 2:28:15when
  4525. 2:28:17there were there was clearly a shortage
  4526. 2:28:18of masks
  4527. 2:28:20and so they said to the public oh don't
  4528. 2:28:21get masks they don't there's no evidence
  4529. 2:28:24that they work there or the you know
  4530. 2:28:26don't get them they don't work in fact
  4531. 2:28:27it might even make it worse you might
  4532. 2:28:29even spread it more like that that was a
  4533. 2:28:30real like stinker uh yeah no no there's
  4534. 2:28:33a unless you know how to do it properly
  4535. 2:28:35you're gonna make that you're gonna get
  4536. 2:28:36sicker or you're more likely to get the
  4537. 2:28:37to catch the virus which is just
  4538. 2:28:39absolute crap
  4539. 2:28:41and
  4540. 2:28:42they put that out there and it's pretty
  4541. 2:28:43clear the reason why they did that was
  4542. 2:28:45because there was actually a shortage of
  4543. 2:28:47masks and they really needed it for
  4544. 2:28:49health workers which makes sense like i
  4545. 2:28:51agree like it you know but
  4546. 2:28:53the cost
  4547. 2:28:54of lying to the popul to the to the
  4548. 2:28:57public when that then comes out
  4549. 2:28:59people aren't as stupid as they think
  4550. 2:29:00they are as a you know and that's that's
  4551. 2:29:03i think where this distrust of ex
  4552. 2:29:05experts has largely come from a they've
  4553. 2:29:07lied to people
  4554. 2:29:08overtly but b
  4555. 2:29:10people have been treated like idiots
  4556. 2:29:12now that's not to say that there aren't
  4557. 2:29:14a lot of stupid people who have a lot of
  4558. 2:29:15wacky ideas around covid and all sorts
  4559. 2:29:17of things but if you treat the general
  4560. 2:29:19public like children
  4561. 2:29:21they're going to see that they're going
  4562. 2:29:22to notice that and that is going to just
  4563. 2:29:24dis like absolutely decimate the trust
  4564. 2:29:26in the public institutions that we
  4565. 2:29:28depend upon and honestly the best thing
  4566. 2:29:30that could happen
  4567. 2:29:32i wish like if like faulty or you know
  4568. 2:29:34and these other like leaders who i mean
  4569. 2:29:36god i would
  4570. 2:29:37i can't imagine how nightmare his job
  4571. 2:29:39has been over the last few years hell on
  4572. 2:29:40earth like so you know i i you know i
  4573. 2:29:43have i have a lot of sort of sympathy
  4574. 2:29:45for the position he's been in but like
  4575. 2:29:47if he could just come out and be like
  4576. 2:29:48okay look guys
  4577. 2:29:50hands up we didn't handle this as well
  4578. 2:29:52as we could have
  4579. 2:29:53these are all the things i would have
  4580. 2:29:55done differently in hindsight i
  4581. 2:29:56apologize for this and this and this and
  4582. 2:29:58this that would go so far
  4583. 2:30:01and maybe i'm being naive who knows
  4584. 2:30:02maybe this would backfire but i don't
  4585. 2:30:04think it would like to someone like me
  4586. 2:30:05even because i've like i've lost trust
  4587. 2:30:07in a lot of these things i'm unfortunate
  4588. 2:30:09that at least no people who i can go to
  4589. 2:30:10who i think are good like have good
  4590. 2:30:12epistemics on this stuff um but you know
  4591. 2:30:14if they if they could sort of put their
  4592. 2:30:15hands on my okay these are the spots
  4593. 2:30:17where we screwed up this this this um
  4594. 2:30:20this was our reasons yeah we actually
  4595. 2:30:21told a little white lie here we did it
  4596. 2:30:22for this reason we're really sorry but
  4597. 2:30:24they just did the radical honesty thing
  4598. 2:30:26the radical transparency thing
  4599. 2:30:28that would go so far
  4600. 2:30:30to build rebuilding public trust and i
  4601. 2:30:32think that's what needs to happen yeah i
  4602. 2:30:33know i totally agree with you
  4603. 2:30:34unfortunately
  4604. 2:30:36yeah his job was very tough and all
  4605. 2:30:38those kinds of things but
  4606. 2:30:40um
  4607. 2:30:41i see arrogance and arrogance prevented
  4608. 2:30:44him from being honest in that way
  4609. 2:30:46previously and i think arrogance will
  4610. 2:30:48prevent him from being honest in that
  4611. 2:30:50way now we need leaders and i think
  4612. 2:30:53young people are seeing that that kind
  4613. 2:30:55of
  4614. 2:30:58talking down to people from a position
  4615. 2:31:00of power
  4616. 2:31:02i'm i hope is is the way of the past
  4617. 2:31:04people really like authenticity and they
  4618. 2:31:06they like
  4619. 2:31:08leaders that are like a man and a woman
  4620. 2:31:10of the people
  4621. 2:31:12and i i think that just i mean he still
  4622. 2:31:15has a chance to do that i think i mean
  4623. 2:31:17yeah sure you know i i don't think you
  4624. 2:31:19know if i i doubt he's listening but if
  4625. 2:31:20he is like hey i i i think he you know i
  4626. 2:31:23don't think he's irredeemable by any
  4627. 2:31:25means i think there's you know
  4628. 2:31:27um i don't know i don't have an opinion
  4629. 2:31:28whether there was arrogance or there or
  4630. 2:31:29not um just know that i think
  4631. 2:31:33like coming clean on the you know it's
  4632. 2:31:35understandable to have up during
  4633. 2:31:37this pandemic like i won't expect any
  4634. 2:31:38government to handle it well because it
  4635. 2:31:39was so difficult like so many moving
  4636. 2:31:42pieces so much like lack of information
  4637. 2:31:44and so on um but
  4638. 2:31:46the step to rebuilding trust is to go
  4639. 2:31:48okay look we're doing a scrutiny of
  4640. 2:31:50where we went wrong and i and for my
  4641. 2:31:52part i did this wrong in this part and
  4642. 2:31:54that would be huge all of us can do that
  4643. 2:31:55i mean i was struggling for a while
  4644. 2:31:57whether i want to talk to
  4645. 2:31:58to him or not i talked to his boss
  4646. 2:32:00francis collins
  4647. 2:32:02um
  4648. 2:32:03another person that's screwed up in
  4649. 2:32:05terms of trust
  4650. 2:32:07um
  4651. 2:32:08lost a little bit of my respect to there
  4652. 2:32:10seems to have been
  4653. 2:32:13a kind of dishonesty in the
  4654. 2:32:16in the back rooms
  4655. 2:32:18in that p they didn't trust people to be
  4656. 2:32:21intelligent
  4657. 2:32:22like we need to tell them what's good
  4658. 2:32:24for them
  4659. 2:32:26we know what's good for them that kind
  4660. 2:32:27of idea
  4661. 2:32:28to be fair
  4662. 2:32:30the the thing that's
  4663. 2:32:32what's it called i heard the phrase
  4664. 2:32:34today uh nut picking
  4665. 2:32:36social media does that so you've got
  4666. 2:32:38like nitpicking nut picking is where
  4667. 2:32:41the the the craziest stupidest
  4668. 2:32:44you know if you have a group of people
  4669. 2:32:45let's call you know let's say people who
  4670. 2:32:47are vaccine i don't like the term
  4671. 2:32:48anti-vaccine people who are vaccine
  4672. 2:32:49hesitant vaccine speculative you know
  4673. 2:32:53what social media did or the media or
  4674. 2:32:55anyone you know
  4675. 2:32:57their opponents
  4676. 2:32:58would do is pick the craziest example so
  4677. 2:33:00the ones who are like you know i think i
  4678. 2:33:02need to inject myself with like
  4679. 2:33:05motor oil at my ass or something yeah
  4680. 2:33:07you know
  4681. 2:33:07select the craziest ones and then
  4682. 2:33:10have that beamed to you know so from
  4683. 2:33:12like someone like fauci or francis's
  4684. 2:33:13perspective
  4685. 2:33:14that's what they get because they're
  4686. 2:33:15getting the same social media stuff as
  4687. 2:33:17us they're getting the same media
  4688. 2:33:18reports i mean they might get some more
  4689. 2:33:19information but they're they too are
  4690. 2:33:22going to get these the nuts portrayed to
  4691. 2:33:24them so they probably have a
  4692. 2:33:26misrepresentation of what the actual
  4693. 2:33:27public's intelligence is well that's
  4694. 2:33:30that's just yes and that just means
  4695. 2:33:31they're not social media savvy so one of
  4696. 2:33:34the skills of being on social media is
  4697. 2:33:36to be able to filter that in your own
  4698. 2:33:37mind like to understand to put into
  4699. 2:33:39proper context realize that what you are
  4700. 2:33:41seeing social media is not anywhere near
  4701. 2:33:43an accurate representation
  4702. 2:33:45of humanity not picking a leather and
  4703. 2:33:47there's nothing uh wrong with putting uh
  4704. 2:33:50motor oil up your ass it's just one it's
  4705. 2:33:51one of them
  4706. 2:33:54i i do this every weekend okay
  4707. 2:33:57uh how did that analogy come from in my
  4708. 2:33:59mind like what i don't know i think we
  4709. 2:34:01need to there's some freudian thing you
  4710. 2:34:03would need to deeply investigate with a
  4711. 2:34:05therapist
  4712. 2:34:06okay what about ai are you worried about
  4713. 2:34:10agi superintelligence systems or
  4714. 2:34:13paperclip maximizer type of type of
  4715. 2:34:15situation
  4716. 2:34:17yes i'm definitely worried about it
  4717. 2:34:19but i feel kind of
  4718. 2:34:21bipolar in the some days i wake up and
  4719. 2:34:24i'm like you're excited about the future
  4720. 2:34:26well exactly i'm like wow we can unlock
  4721. 2:34:27the mysteries of the universe you know
  4722. 2:34:29escape the game um and
  4723. 2:34:32this this you know if because i spend
  4724. 2:34:34all my time thinking about these
  4725. 2:34:35molecule problems that you know what
  4726. 2:34:37what is the solution to them
  4727. 2:34:39well you know in some ways you need this
  4728. 2:34:40like
  4729. 2:34:41omni-benevolent omniscient omni-wise
  4730. 2:34:47coordination mechanism that can like
  4731. 2:34:49make us all not do the the molecule
  4732. 2:34:52thing uh or like provide the
  4733. 2:34:54infrastructure would redesign the system
  4734. 2:34:56so that it's not vulnerable to this
  4735. 2:34:57molecule process um and in some ways you
  4736. 2:35:00know that's that's the strongest
  4737. 2:35:01argument to me for like the race to
  4738. 2:35:03build agi is that maybe you know we
  4739. 2:35:06can't survive without it
  4740. 2:35:07but the flip side to that
  4741. 2:35:09is
  4742. 2:35:11the
  4743. 2:35:12the the the unfortunately now that
  4744. 2:35:13there's multiple actors trying to build
  4745. 2:35:15ai agi you know this is this was fine
  4746. 2:35:18ten years ago when it was just deep mind
  4747. 2:35:19but then other
  4748. 2:35:21companies started up and now it created
  4749. 2:35:22a race dynamic now it's like that's the
  4750. 2:35:25whole thing is it the same
  4751. 2:35:26it's got the same problem it's like
  4752. 2:35:28whichever company is the one that like
  4753. 2:35:30optimizes for speed at the cost of
  4754. 2:35:32safety will get the competitive
  4755. 2:35:34advantage and so it will be the more
  4756. 2:35:35likely the ones to build the adi you
  4757. 2:35:37know and and that's the same cycle that
  4758. 2:35:39you're in and there's no clear solution
  4759. 2:35:41to that because you can't just go like
  4760. 2:35:43um
  4761. 2:35:44slapping
  4762. 2:35:45you know
  4763. 2:35:47if you go and try and like
  4764. 2:35:48stop all the different companies
  4765. 2:35:51then
  4766. 2:35:51it will you know the good ones will stop
  4767. 2:35:54because they're the ones you know within
  4768. 2:35:56you know within the west's reach but
  4769. 2:35:57then that leaves all the other ones to
  4770. 2:35:59continue and then they're even more
  4771. 2:36:00likely so it's like it's a very
  4772. 2:36:02difficult problem with no clean solution
  4773. 2:36:04um
  4774. 2:36:05and
  4775. 2:36:06you know at the same time you know i i
  4776. 2:36:09know the
  4777. 2:36:10at least some of the folks at deepmind
  4778. 2:36:12and they're incredible and they're
  4779. 2:36:12thinking about this they're very aware
  4780. 2:36:14of this problem and they're like you
  4781. 2:36:15know
  4782. 2:36:16i think some of the smartest people on
  4783. 2:36:18earth yeah the the culture is important
  4784. 2:36:20there because they are thinking about
  4785. 2:36:21that and they're
  4786. 2:36:22some of the best machine learning
  4787. 2:36:24engineers
  4788. 2:36:26so it's possible to have a
  4789. 2:36:28a company or a community of people that
  4790. 2:36:30are both great engineers and are
  4791. 2:36:32thinking about the philosophical topics
  4792. 2:36:33exactly and importantly they're also
  4793. 2:36:34game theorists
  4794. 2:36:36you know and because this is ultimately
  4795. 2:36:38a game theory problem the thing this
  4796. 2:36:40this monologue mechanism and like you
  4797. 2:36:42know what this ra how do we voice
  4798. 2:36:45arms race scenarios um you need people
  4799. 2:36:47who aren't naive to be thinking about
  4800. 2:36:49this and again like luckily there's a
  4801. 2:36:51lot of smart non-naive game theorists
  4802. 2:36:53within within that group yes i'm
  4803. 2:36:55concerned about it and i i think it's
  4804. 2:36:57again a thing that we need
  4805. 2:36:59people to be thinking about um in terms
  4806. 2:37:01of like how do we create
  4807. 2:37:03how do we mitigate the arms race
  4808. 2:37:05dynamics and how do we
  4809. 2:37:07solve
  4810. 2:37:08the thing of it's got boston calls it
  4811. 2:37:10the orthogonality problem whereby
  4812. 2:37:14because obviously there's a chance you
  4813. 2:37:15know that the belief the hope is is that
  4814. 2:37:17you build something that's super
  4815. 2:37:18intelligent
  4816. 2:37:19and
  4817. 2:37:20by definition of being super intelligent
  4818. 2:37:22it will also become super wise and have
  4819. 2:37:25the wisdom to know what the right goals
  4820. 2:37:27are and hopefully those goals include
  4821. 2:37:29keeping humanity alive right um but
  4822. 2:37:32bostrom says that actually those two
  4823. 2:37:34things you know um super intelligence
  4824. 2:37:37and super wisdom
  4825. 2:37:39aren't necessarily correlated they're
  4826. 2:37:40actually kind of orthogonal things and
  4827. 2:37:42how do we make it so that they are
  4828. 2:37:44correlated how do we guarantee it
  4829. 2:37:45because we need it to be guaranteed
  4830. 2:37:46really to know that we're doing the
  4831. 2:37:47thing safely but i think that like
  4832. 2:37:50um merging of intelligence and wisdom
  4833. 2:37:54at least my hope is that this whole
  4834. 2:37:55process
  4835. 2:37:56happens sufficiently slowly that we're
  4836. 2:37:59constantly having these kinds of debates
  4837. 2:38:02that we have enough time to um
  4838. 2:38:05to figure out how to modify each version
  4839. 2:38:07of the system as it becomes more and
  4840. 2:38:08more intelligent yes buying time is is a
  4841. 2:38:11good thing definitely anything that
  4842. 2:38:12slows everything down we just everyone
  4843. 2:38:15needs to chill out we've got
  4844. 2:38:17millennia to figure this out yeah um
  4845. 2:38:21or at least
  4846. 2:38:23at least
  4847. 2:38:24um well it depends again it's some
  4848. 2:38:26people think that you know we can't even
  4849. 2:38:28make it through the next few decades
  4850. 2:38:29without having some kind of
  4851. 2:38:33omni-wise
  4852. 2:38:34coordination mechanism um and there's
  4853. 2:38:36also an argument to that yeah i don't
  4854. 2:38:38know
  4855. 2:38:39well there is uh i'm suspicious of that
  4856. 2:38:41kind of thinking because it seems like
  4857. 2:38:43the entirety of human history is
  4858. 2:38:46has people in it that are like
  4859. 2:38:47predicting doom
  4860. 2:38:49uh or just around the corner there's
  4861. 2:38:50something about us
  4862. 2:38:52that
  4863. 2:38:53is strangely attracted to that thought
  4864. 2:38:57it's almost like fun to think about the
  4865. 2:38:59destruction of everything
  4866. 2:39:02just objectively speaking
  4867. 2:39:05i've
  4868. 2:39:06talked and listened to a bunch of people
  4869. 2:39:08and they are
  4870. 2:39:09gravitating towards that it's almost
  4871. 2:39:12i think it's the same thing that people
  4872. 2:39:13love about conspiracy theories
  4873. 2:39:15is they love to be the person that kind
  4874. 2:39:17of figured out
  4875. 2:39:19some deep
  4876. 2:39:20fundamental thing about the that's going
  4877. 2:39:22to be it's going to mark something
  4878. 2:39:24extremely important about the history of
  4879. 2:39:26human civilization because then
  4880. 2:39:29i will be important right when in
  4881. 2:39:31reality most of us will be forgotten and
  4882. 2:39:33and and
  4883. 2:39:35life will will go on i mean one of the
  4884. 2:39:38sad things about
  4885. 2:39:40whenever anything traumatic happens to
  4886. 2:39:41you whenever you lose loved ones
  4887. 2:39:44or
  4888. 2:39:45just tragedy happens you realize life
  4889. 2:39:47goes on
  4890. 2:39:49even after a nuclear war that will wipe
  4891. 2:39:51out
  4892. 2:39:52some large percentage of the population
  4893. 2:39:54and will torture
  4894. 2:39:58people for
  4895. 2:39:59years to come because of the sort of i
  4896. 2:40:01mean the effects of a nuclear winter
  4897. 2:40:05people will still survive
  4898. 2:40:07life will still go on i mean it depends
  4899. 2:40:09on the kind of nuclear war but in in
  4900. 2:40:11case in yoko world it will still go on
  4901. 2:40:13that's one of the amazing things about
  4902. 2:40:15life it finds a way and so in that sense
  4903. 2:40:18i just i feel like the doom and gloom
  4904. 2:40:20thing
  4905. 2:40:22is um
  4906. 2:40:23well what we don't yeah we don't want a
  4907. 2:40:24self-fulfilling prophecy yes that's
  4908. 2:40:26exactly yes and i very much agree with
  4909. 2:40:29that and i you know even i have a slight
  4910. 2:40:32like feeling from the amount of time we
  4911. 2:40:34spent in this conversation talking about
  4912. 2:40:36this because it's like
  4913. 2:40:37you know
  4914. 2:40:38is this even a net positive if it's like
  4915. 2:40:40making everyone feel oh
  4916. 2:40:43in some ways like making people imagine
  4917. 2:40:44these bad scenarios can be a
  4918. 2:40:46self-fulfilling prophecy but at the same
  4919. 2:40:47time
  4920. 2:40:49that's how
  4921. 2:40:50that's weighed off with at least
  4922. 2:40:52making people aware of the problem
  4923. 2:40:54and gets them thinking and i think
  4924. 2:40:55particularly you know the reason why i
  4925. 2:40:56want to talk about this to your audience
  4926. 2:40:58is that
  4927. 2:40:59on average they're the type of people
  4928. 2:41:00who gravitate towards these kind of
  4929. 2:41:02topics because they they're
  4930. 2:41:03intellectually curious and
  4931. 2:41:04and they can sort of sense that there's
  4932. 2:41:06trouble brewing yeah they can smell that
  4933. 2:41:08there's you know i think there's a
  4934. 2:41:09reason people are thinking about this
  4935. 2:41:10stuff a lot is because
  4936. 2:41:12the probability
  4937. 2:41:14the probability you know it's increased
  4938. 2:41:15in probability over certainly over the
  4939. 2:41:17last few years
  4940. 2:41:18um trajectories have not gone favorably
  4941. 2:41:21let's put it in you know since 2010. so
  4942. 2:41:24um it's right i think for people to be
  4943. 2:41:27thinking about it but that's where
  4944. 2:41:29they're like i think whether it's a
  4945. 2:41:30useful fiction or whether it's actually
  4946. 2:41:32true or whatever you want to call it i
  4947. 2:41:34think having this faith this is where
  4948. 2:41:36faith is valuable
  4949. 2:41:37because it gives you at least this like
  4950. 2:41:39anchor of hope
  4951. 2:41:41and and i and i'm not just saying it to
  4952. 2:41:42like trick myself like i do truly i do
  4953. 2:41:45think there's something out there that
  4954. 2:41:46wants us to win yeah i think there's
  4955. 2:41:48something that really wants us to win
  4956. 2:41:49and it just you just have to be like
  4957. 2:41:52just like
  4958. 2:41:54okay now i sound really crazy but like
  4959. 2:41:56open your heart to it a little bit yeah
  4960. 2:41:58and
  4961. 2:42:00it will give you the like
  4962. 2:42:03the sort of breathing room with which to
  4963. 2:42:05marinate on the solutions we are the
  4964. 2:42:08ones who have to come up with solutions
  4965. 2:42:10but
  4966. 2:42:12we
  4967. 2:42:14can use that there's like this
  4968. 2:42:16hashtag positivity there's value in that
  4969. 2:42:19yeah you have to kind of imagine all the
  4970. 2:42:21destructive trajectories that lay in our
  4971. 2:42:24future and then believe
  4972. 2:42:26in the possibility of avoiding those
  4973. 2:42:28trajectories all while he's an
  4974. 2:42:31audience all while sitting back which is
  4975. 2:42:34majori the the two people that listen to
  4976. 2:42:36this are probably sitting in a beach
  4977. 2:42:38smoking some weed
  4978. 2:42:41um
  4979. 2:42:43that's a beautiful sunset or they're
  4980. 2:42:45looking at just the waves going in and
  4981. 2:42:47out
  4982. 2:42:47and ultimately there's a kind of deep
  4983. 2:42:49belief there and um
  4984. 2:42:51the the momentum of humanity to figure
  4985. 2:42:54it all out i think we'll make it
  4986. 2:42:56but we've got a lot of work to do which
  4987. 2:42:58is which what makes this whole
  4988. 2:43:00simulation this video game kind of fun
  4989. 2:43:03this battle of polytopia
  4990. 2:43:05i still man i love those games so much
  4991. 2:43:08so good
  4992. 2:43:09and that that one for people who don't
  4993. 2:43:11know but uh battle polytopia is a it's a
  4994. 2:43:13big it's like a
  4995. 2:43:15really radical sim simplification of a
  4996. 2:43:18civilization type of game it still has a
  4997. 2:43:21lot of the skill tree development a lot
  4998. 2:43:24of the strategy
  4999. 2:43:26um
  5000. 2:43:27but it's easy enough to play in a phone
  5001. 2:43:29yeah it's kind of interesting they've
  5002. 2:43:31really they've really figured it out
  5003. 2:43:33it's it's one of the most elegantly
  5004. 2:43:34designed games i've ever seen it's
  5005. 2:43:36incredibly complex
  5006. 2:43:37and yet being again it walks that line
  5007. 2:43:39between complexity and simplicity in
  5008. 2:43:40this really really great way um
  5009. 2:43:44and they use pretty colors that
  5010. 2:43:45hack the dopamine reward circuits in our
  5011. 2:43:48brains very well yeah it's fun
  5012. 2:43:50video games are so fun yeah
  5013. 2:43:53most of this life is just about fun
  5014. 2:43:55escaping all the suffering to find the
  5015. 2:43:57fun
  5016. 2:43:58uh what's energy healing i have in my
  5017. 2:44:00notes energy healing question mark
  5018. 2:44:02what's that about
  5019. 2:44:04uh oh man um god your audience are gonna
  5020. 2:44:07think i'm mad uh
  5021. 2:44:09so
  5022. 2:44:11the two crazy things that happened to me
  5023. 2:44:13the one was the voice in the head that
  5024. 2:44:14said you're gonna win this tournament
  5025. 2:44:16and then i won the tournament
  5026. 2:44:18the other craziest thing uh that's
  5027. 2:44:20happened to me was in
  5028. 2:44:222018
  5029. 2:44:24um
  5030. 2:44:25i started getting
  5031. 2:44:27uh this like weird
  5032. 2:44:29problem in my ear where
  5033. 2:44:31it was kind of like low frequency sound
  5034. 2:44:33distortion
  5035. 2:44:34uh where voices particularly men's
  5036. 2:44:36voices became incredibly unpleasant to
  5037. 2:44:38listen to
  5038. 2:44:39um it would it would like create this it
  5039. 2:44:42would be falsely amplified or something
  5040. 2:44:44and it was almost like a physical
  5041. 2:44:45sensation in my ear which was really
  5042. 2:44:46unpleasant
  5043. 2:44:48and i it would like last for a few hours
  5044. 2:44:50and then go away and then come back for
  5045. 2:44:51a few hours and go away and i went and
  5046. 2:44:53got hearing tests and they found that
  5047. 2:44:54like the bottom end i was losing the the
  5048. 2:44:57hearing in that ear
  5049. 2:44:58um and
  5050. 2:45:01i also in the end i got the doctor said
  5051. 2:45:04they think it was this thing called
  5052. 2:45:05meniere's disease um which is this very
  5053. 2:45:09unpleasant disease where people
  5054. 2:45:10basically end up losing their hearing
  5055. 2:45:11but they get this like
  5056. 2:45:13um it often comes with like dizzy spells
  5057. 2:45:15and other things because it's like the
  5058. 2:45:16inner ear gets all messed up um
  5059. 2:45:19now i don't know if that's actually what
  5060. 2:45:20i had um but that's what at least a
  5061. 2:45:22couple of one doctor said to me um but
  5062. 2:45:24anyway so i had three months of this
  5063. 2:45:26stuff this going on it was really
  5064. 2:45:27getting me down i was and i was at
  5065. 2:45:29burning man
  5066. 2:45:30um of all places
  5067. 2:45:32i don't mean to be that person talking
  5068. 2:45:33about burning man um but i was there
  5069. 2:45:36and again i'd had it and i was unable to
  5070. 2:45:38listen to music which is not what you
  5071. 2:45:39want because burning man is a very loud
  5072. 2:45:41intense place
  5073. 2:45:42and i was just having a really rough
  5074. 2:45:43time and on the final night
  5075. 2:45:45i get talking to this uh girl who's like
  5076. 2:45:48a friend of a friend
  5077. 2:45:49and i mentioned i was like oh i'm really
  5078. 2:45:51down in the dumps about this and she's
  5079. 2:45:52like oh well i've done a little bit of
  5080. 2:45:54energy healing would you like me to have
  5081. 2:45:55a look
  5082. 2:45:57sure now this is again
  5083. 2:46:00deep i was you know
  5084. 2:46:01no time in my life for this i didn't
  5085. 2:46:03believe in any of this stuff i was just
  5086. 2:46:05like it's all it's all woo
  5087. 2:46:06nonsense um
  5088. 2:46:08i was like sure have a go
  5089. 2:46:10and she starts like
  5090. 2:46:12with her hand and she says oh there's
  5091. 2:46:14something there and then she leans in
  5092. 2:46:16and she starts like sucking
  5093. 2:46:18over my ear not actually touching me but
  5094. 2:46:19like close to it like with her mouth
  5095. 2:46:22and it was really unpleasant i was like
  5096. 2:46:24bro can you stop she's like no no
  5097. 2:46:25there's something there i need to get it
  5098. 2:46:26i was like no no i really don't like it
  5099. 2:46:27please this is really loud she's like i
  5100. 2:46:29need to just bear with me and she does
  5101. 2:46:31it i don't know how long for a few
  5102. 2:46:32minutes
  5103. 2:46:33and then she eventually
  5104. 2:46:35collapses on the ground like freezing
  5105. 2:46:37cold crying
  5106. 2:46:39not you know and i'm just like i don't
  5107. 2:46:41know what the hell is going on like i'm
  5108. 2:46:42like thoroughly freaked out as there's
  5109. 2:46:44everyone else watching just like what
  5110. 2:46:45the hell me like warm her up and she was
  5111. 2:46:47like
  5112. 2:46:49she was really shaken up
  5113. 2:46:51and
  5114. 2:46:52she's like i don't know what that
  5115. 2:46:54she said it was something very
  5116. 2:46:56unpleasant and dark don't worry it's
  5117. 2:46:58gone i think you'll be fine in a couple
  5118. 2:46:59you'll have the physical symptoms for a
  5119. 2:47:00couple of weeks and you'll be fine
  5120. 2:47:02but you know she was like that
  5121. 2:47:05you know so i was i was so rattled a
  5122. 2:47:07because
  5123. 2:47:08the potential that actually i had
  5124. 2:47:10something bad in me that made someone
  5125. 2:47:12feel bad and and and that she was scared
  5126. 2:47:15that was what you know i was like wait i
  5127. 2:47:16thought you you do this this is the
  5128. 2:47:18thing
  5129. 2:47:19and now you're terrified like you pulled
  5130. 2:47:20like some kind of an exorcism or
  5131. 2:47:22something yeah what the is going on
  5132. 2:47:23yeah um so it
  5133. 2:47:26like just
  5134. 2:47:27the most insane experience um and
  5135. 2:47:30frankly it took me like a few months to
  5136. 2:47:32sort of
  5137. 2:47:33emotionally recover from it
  5138. 2:47:34um but my ear problem went away about a
  5139. 2:47:38couple of weeks later and touchwood i've
  5140. 2:47:40not had any issues since
  5141. 2:47:42so
  5142. 2:47:44that gives you uh
  5143. 2:47:47like hints that maybe there's something
  5144. 2:47:49out there
  5145. 2:47:50i mean
  5146. 2:47:51i i don't i i again i don't have an
  5147. 2:47:53explanation for this
  5148. 2:47:55the most probable explanation was uh you
  5149. 2:47:57know i was a burning man i was in a very
  5150. 2:47:58open state let's just leave it at that
  5151. 2:48:00um and
  5152. 2:48:03you know
  5153. 2:48:05placebo is an incredibly powerful thing
  5154. 2:48:07in a very not understood thing so almost
  5155. 2:48:10assigning the word placebo to it reduces
  5156. 2:48:13it down to a way that it doesn't deserve
  5157. 2:48:15to be reduced down maybe there's a whole
  5158. 2:48:17science of what we call placebo maybe
  5159. 2:48:19there's a
  5160. 2:48:20placebo is a door self-healing yeah you
  5161. 2:48:22know
  5162. 2:48:23and i mean i don't know what the problem
  5163. 2:48:25was like i was told it was many years i
  5164. 2:48:27don't want to say i definitely had that
  5165. 2:48:29because i don't want people to think
  5166. 2:48:30that oh that's how you know if they do
  5167. 2:48:31have that because it's terrible disease
  5168. 2:48:32and if they have that that this is going
  5169. 2:48:33to be a guaranteed way for it to fix it
  5170. 2:48:35for them i don't know
  5171. 2:48:36um
  5172. 2:48:37and i also don't i don't
  5173. 2:48:39you're absolutely right to say like
  5174. 2:48:41using even the word placebo is like it
  5175. 2:48:43comes with this like baggage of
  5176. 2:48:46of like frame
  5177. 2:48:47and i don't want to reduce it down all i
  5178. 2:48:49can do is describe the experience and
  5179. 2:48:51what happened i cannot put
  5180. 2:48:54an ontological framework around it i
  5181. 2:48:56can't say why it happened what the
  5182. 2:48:58mechanism was what the problem even was
  5183. 2:49:01in the first place
  5184. 2:49:02um i just know that something crazy
  5185. 2:49:04happened and it was while i was in an
  5186. 2:49:06open state and fortunately for me it
  5187. 2:49:08made the problem go away but what i took
  5188. 2:49:10away from it again it was part of this
  5189. 2:49:13you know this took me on this journey of
  5190. 2:49:14becoming more humble about what i think
  5191. 2:49:16i know because as i said before i was
  5192. 2:49:18like i was in the like richard dawkins
  5193. 2:49:20train of atheism in terms of there is no
  5194. 2:49:22god there's and everything like that is
  5195. 2:49:24we know everything we know you
  5196. 2:49:26know the only way we can get through
  5197. 2:49:28uh we know how medicine works and it's
  5198. 2:49:30molecules and and chemical interactions
  5199. 2:49:32and that kind of stuff
  5200. 2:49:33and now it's like
  5201. 2:49:35okay well there's there's clearly more
  5202. 2:49:38for us to understand um and that doesn't
  5203. 2:49:41mean that it's a scientific as well
  5204. 2:49:43because
  5205. 2:49:44you know
  5206. 2:49:45the beauty of the scientific method is
  5207. 2:49:47that it still it still can apply to this
  5208. 2:49:49situation like i don't see why you know
  5209. 2:49:51i would like to try and test this
  5210. 2:49:52experimentally um i haven't really you
  5211. 2:49:55know i don't know how we would go about
  5212. 2:49:56doing that we'd have to find other
  5213. 2:49:57people with the same condition i guess
  5214. 2:49:59and like
  5215. 2:50:00try and repeat repeat the experiment um
  5216. 2:50:04but it doesn't just because something
  5217. 2:50:05happens
  5218. 2:50:06that's sort of out of the realms of our
  5219. 2:50:09current understanding it doesn't mean
  5220. 2:50:10that it's
  5221. 2:50:11the scientific method can't be used for
  5222. 2:50:13it yeah i think the scientific method
  5223. 2:50:15sits on a foundation
  5224. 2:50:17of those kinds of experiences as a
  5225. 2:50:21scientific method is a process
  5226. 2:50:24to
  5227. 2:50:25um
  5228. 2:50:26carve away at the mystery
  5229. 2:50:29all around us
  5230. 2:50:30and experiences like this is just a
  5231. 2:50:32reminder that uh we're mostly shrouded
  5232. 2:50:35mysteries though that's it it's just
  5233. 2:50:37like a humility like we haven't really
  5234. 2:50:39figured this whole thing out
  5235. 2:50:41but at the same time we have
  5236. 2:50:43found ways to act you know we're clearly
  5237. 2:50:46doing something right because think of
  5238. 2:50:48the technological scientific
  5239. 2:50:49advancements the knowledge that we have
  5240. 2:50:51that was would blow people's minds even
  5241. 2:50:54from 100 years ago yeah and you know
  5242. 2:50:56we've even allegedly gone out to space
  5243. 2:50:58and landed on the moon although i still
  5244. 2:51:00haven't i have not seen evidence of of
  5245. 2:51:02the earth being round but i'm still i'm
  5246. 2:51:05keeping an open mind
  5247. 2:51:07uh speaking of which uh you studied
  5248. 2:51:09physics and astrophysics
  5249. 2:51:13uh would when just just to go to that
  5250. 2:51:16and we jump just to jump around
  5251. 2:51:18through the fascinating life you've had
  5252. 2:51:21when did you
  5253. 2:51:22how did that come to be like when did
  5254. 2:51:24you fall in love with astronomy and
  5255. 2:51:26space
  5256. 2:51:27and things like this as early as i can
  5257. 2:51:29remember um i was very lucky that my my
  5258. 2:51:32mum and my dad but particularly my mom
  5259. 2:51:35my mom is like the most
  5260. 2:51:37nature she is mother earth it's the only
  5261. 2:51:40way to describe her just she's like
  5262. 2:51:42doctor doolittle animals flock to her
  5263. 2:51:44and just like sit and look at her
  5264. 2:51:45adoringly as she sings
  5265. 2:51:48yeah she's just she just is mother earth
  5266. 2:51:50and she has always been fascinated by
  5267. 2:51:54you know she doesn't have any
  5268. 2:51:55you know she ever went to university or
  5269. 2:51:57anything like that she's actually phobic
  5270. 2:51:58of maths if i try and get her to like
  5271. 2:52:00you know i was trying to teach her poker
  5272. 2:52:01and she hated it um
  5273. 2:52:03but she's
  5274. 2:52:05so deeply curious
  5275. 2:52:07um and that just got instilled in me
  5276. 2:52:09when you know we would sleep out under
  5277. 2:52:10the stars whenever it was you know the
  5278. 2:52:12two nights a year when it was warm
  5279. 2:52:13enough in the uk to do that um and we'll
  5280. 2:52:16just lie out there until until we fell
  5281. 2:52:18asleep looking at
  5282. 2:52:19looking for satellites looking for
  5283. 2:52:21shooting stars and and i was just
  5284. 2:52:23always i don't know whether it was from
  5285. 2:52:25that but i've always naturally
  5286. 2:52:26gravitated to like
  5287. 2:52:28the biggest
  5288. 2:52:30the biggest questions and also the like
  5289. 2:52:32the most layers of abstraction
  5290. 2:52:34i love just like what's the meta
  5291. 2:52:36question what's the meta question and so
  5292. 2:52:37on um so i think it just came from that
  5293. 2:52:39really and it and and then on top of
  5294. 2:52:41that like physics
  5295. 2:52:43you know it also made logical sense and
  5296. 2:52:45that it was a
  5297. 2:52:48it was it was the degree it was a degree
  5298. 2:52:50that was a subject that ticked the box
  5299. 2:52:52of being you know answering these really
  5300. 2:52:54big picture questions but it's also
  5301. 2:52:56extremely useful it like has a very high
  5302. 2:52:58utility um in terms of i didn't know
  5303. 2:53:01necessarily i thought i was going to
  5304. 2:53:02become like a research scientist i my
  5305. 2:53:04original plan was i want to be a
  5306. 2:53:05professional astronomer so it's not just
  5307. 2:53:07like a philosophy degree that asks the
  5308. 2:53:08big questions and it's not uh
  5309. 2:53:12like
  5310. 2:53:13biology in the path to be going to
  5311. 2:53:14medical school or something like that
  5312. 2:53:16which is all overly pragmatic not overly
  5313. 2:53:19is um
  5314. 2:53:20this is very
  5315. 2:53:22pragmatic
  5316. 2:53:23yeah physics is a good combination of
  5317. 2:53:25the two yeah at least for me it made
  5318. 2:53:27sense and i was good at it i liked it um
  5319. 2:53:30yeah i mean i it wasn't like i did an
  5320. 2:53:31immense amount of soul-searching to
  5321. 2:53:33choose it or anything it just was like
  5322. 2:53:34this
  5323. 2:53:36it made the most sense i mean you have
  5324. 2:53:38to make this decision in the uk age 17
  5325. 2:53:41which is crazy um because you know in us
  5326. 2:53:43you go the first year you do a bunch of
  5327. 2:53:45stuff right and then you choose your
  5328. 2:53:46major
  5329. 2:53:47um yeah i think the first few years of
  5330. 2:53:49college you focus on the drugs and only
  5331. 2:53:52as you get closer to the end
  5332. 2:53:54do you start to think oh this
  5333. 2:53:56wasn't about that and i'm
  5334. 2:53:58uh i owe the government a lot of money
  5335. 2:54:02um
  5336. 2:54:03how many alien civilizations are out
  5337. 2:54:04there when you when you looked up at the
  5338. 2:54:06stars with your mom
  5339. 2:54:07[Music]
  5340. 2:54:08and you were counting them
  5341. 2:54:10what's your mom think about a number of
  5342. 2:54:12alien civilizations i actually don't
  5343. 2:54:14know
  5344. 2:54:15i would imagine she would take the
  5345. 2:54:17viewpoint of you know she's pretty
  5346. 2:54:18humble and she knows how many you know
  5347. 2:54:21there's a huge number of
  5348. 2:54:22potential spawn sites out there so she
  5349. 2:54:24would sponsor spawn sites yeah
  5350. 2:54:27you know this is our sport
  5351. 2:54:29we have spawn sites in polytopia we
  5352. 2:54:30spawned on earth you know it's
  5353. 2:54:32hmm yeah spawn sights
  5354. 2:54:35why does that feel weird to say
  5355. 2:54:38spawn because it makes me feel like it's
  5356. 2:54:41um
  5357. 2:54:43there's only one source of life and it's
  5358. 2:54:45spawning in different locations that's
  5359. 2:54:47why the word spawn
  5360. 2:54:49because like it feels like life that
  5361. 2:54:50originated on earth
  5362. 2:54:52really originated here right it is it is
  5363. 2:54:55a unique to this particular
  5364. 2:54:58yeah i mean but i don't in my mind it
  5365. 2:55:00doesn't exclude
  5366. 2:55:02you know the completely different forms
  5367. 2:55:03of life and different biochemical
  5368. 2:55:06soups
  5369. 2:55:07can't also spawn but
  5370. 2:55:09i guess it implies that there's some
  5371. 2:55:11spark that is yeah which i kind of like
  5372. 2:55:14the idea of it yeah and then i i get to
  5373. 2:55:17think about respawning
  5374. 2:55:19like after it dies like what happens if
  5375. 2:55:21life on earth ends is it
  5376. 2:55:24is it going to restart again probably
  5377. 2:55:26not
  5378. 2:55:27it depends maybe earth is depends on the
  5379. 2:55:29type of you know what what's the thing
  5380. 2:55:31that kills it kills it off right if it's
  5381. 2:55:32a paper clip maximizer not that you know
  5382. 2:55:34for the for the example but you know
  5383. 2:55:36some kind of very
  5384. 2:55:38self-replicating
  5385. 2:55:40you know high on the capabilities very
  5386. 2:55:42low on the wisdom type thing so whether
  5387. 2:55:44that's you know grey goo green goo
  5388. 2:55:47you know like nano bots or
  5389. 2:55:49just a shitty misaligned ai that thinks
  5390. 2:55:52it needs to turn everything into paper
  5391. 2:55:53clips um
  5392. 2:55:56you know if it's something like that
  5393. 2:55:57then it's going to be very hard for life
  5394. 2:55:59you know complex life because by
  5395. 2:56:01definition you know a paperclip
  5396. 2:56:02maximizer is the ultimate instantiation
  5397. 2:56:04of molecule deeply low complexity over
  5398. 2:56:07optimization on a single thing
  5399. 2:56:08sacrificing everything else turning the
  5400. 2:56:10whole world into i although something
  5401. 2:56:11tells me like if we actually take a
  5402. 2:56:13paper clip maximizer it destroys
  5403. 2:56:15everything it's a really dumb system
  5404. 2:56:17that just and envelops the whole of
  5405. 2:56:19earth
  5406. 2:56:20and that diverse beyond yeah
  5407. 2:56:24i didn't i didn't know that part but
  5408. 2:56:25okay great that's what it takes it
  5409. 2:56:27becomes a multi-planetary paperclip
  5410. 2:56:29maximizer well it just it just
  5411. 2:56:30propagates i mean it it depends whether
  5412. 2:56:33it figures out how to jump the vacuum
  5413. 2:56:34gap
  5414. 2:56:35um
  5415. 2:56:36but
  5416. 2:56:37again i mean this is all silly because
  5417. 2:56:38it's a hypothetical thought experiment
  5418. 2:56:40which i think doesn't actually have much
  5419. 2:56:41practical application to the ai safety
  5420. 2:56:42problem but it's just a fun thing to
  5421. 2:56:44play around with but yeah if by
  5422. 2:56:45definition it is maximally intelligent
  5423. 2:56:47which means it is maximally good at
  5424. 2:56:51navigating the environment around it in
  5425. 2:56:53order to achieve its goal
  5426. 2:56:54but
  5427. 2:56:55extremely bad at choosing goals in the
  5428. 2:56:57first place so again we're talking about
  5429. 2:56:58this orthogonality thing right it's very
  5430. 2:57:00low on wisdom but very high on
  5431. 2:57:02capability um then it will figure out
  5432. 2:57:04how to jump the vacuum gap between
  5433. 2:57:05planets and stars and so on and thus
  5434. 2:57:07just turn every atom it gets its hands
  5435. 2:57:09on into paper clips yeah uh by the way
  5436. 2:57:11for for people who which is maximum
  5437. 2:57:13virality by the way that's what virality
  5438. 2:57:15is
  5439. 2:57:16but does not mean that morality is
  5440. 2:57:17necessarily all about maximizing paper
  5441. 2:57:19clips in that case it is so for people
  5442. 2:57:21who don't know this is just a thought
  5443. 2:57:23experiment example of an ai system
  5444. 2:57:24that's very
  5445. 2:57:26that has a goal and is willing to do
  5446. 2:57:28anything to accomplish that goal
  5447. 2:57:30including destroying all life on earth
  5448. 2:57:32and all human life and all of
  5449. 2:57:34consciousness in the universe you know
  5450. 2:57:36for the goal of producing
  5451. 2:57:38a maximum number of paper clips
  5452. 2:57:40okay uh or whatever its optimization
  5453. 2:57:43function was that it was set up but
  5454. 2:57:45don't you think could be making
  5455. 2:57:46recreating lexus maybe it'll tile the
  5456. 2:57:48universe and lex uh go on i like this
  5457. 2:57:52idea now i'm scared that's better that's
  5458. 2:57:54that's more interesting than paperclip
  5459. 2:57:56that could be infinitely optimal if i
  5460. 2:57:57were to say
  5461. 2:57:58so it's still a bad thing because it's
  5462. 2:58:00permanently capping
  5463. 2:58:02what the universe could ever be it's
  5464. 2:58:04like that's that's its end or achieving
  5465. 2:58:06the optimal that the universe could ever
  5466. 2:58:08achieve but that's up to different
  5467. 2:58:10people have different perspectives uh
  5468. 2:58:12but don't you think within the paperclip
  5469. 2:58:14world
  5470. 2:58:15that would
  5471. 2:58:16emerge just like in the zeros and ones
  5472. 2:58:19that make up a computer that would
  5473. 2:58:20emerge beautiful complexities
  5474. 2:58:23like it it won't
  5475. 2:58:26suppress
  5476. 2:58:27you know as you scale to multiple
  5477. 2:58:29planets and throughout they'll emerge
  5478. 2:58:31these little worlds
  5479. 2:58:33that uh on top of the fabric of
  5480. 2:58:36maximizing paper clips there will be
  5481. 2:58:39that that would emerge like little
  5482. 2:58:41societies of
  5483. 2:58:43of a
  5484. 2:58:44paper clip well then we're not with them
  5485. 2:58:46we're not describing a paper clip
  5486. 2:58:47maximizer anymore because by the like if
  5487. 2:58:50you think of what a paper clip is it is
  5488. 2:58:51literally just a piece of bent iron yes
  5489. 2:58:54right
  5490. 2:58:55so if it's
  5491. 2:58:57maximizing that throughout the universe
  5492. 2:58:58it's taking every atom it gets its hand
  5493. 2:59:00on into somehow turning it into iron or
  5494. 2:59:02steel
  5495. 2:59:04and then bending it into that shape and
  5496. 2:59:05then done and on
  5497. 2:59:06by definition like paper clips there is
  5498. 2:59:09no there is no way for well okay so
  5499. 2:59:11you're saying that paper clips somehow
  5500. 2:59:13will just emerge and create
  5501. 2:59:16through gravity or something no no no no
  5502. 2:59:18because there's there's a dynamic
  5503. 2:59:20element to the whole system it's not
  5504. 2:59:21just
  5505. 2:59:22it's creating those paper clips and the
  5506. 2:59:25act of creating there's going to be a
  5507. 2:59:27process and that process will have a
  5508. 2:59:29dance to it because it's not like
  5509. 2:59:31sequential thing there's a whole complex
  5510. 2:59:34three-dimensional system of paper clips
  5511. 2:59:36uh you know like you know people like
  5512. 2:59:38string theory right it's supposed to be
  5513. 2:59:39strings that are interacting in
  5514. 2:59:40fascinating ways i'm sure paper clips
  5515. 2:59:43are very string like they can be
  5516. 2:59:44interacting very interesting ways as you
  5517. 2:59:46scale exponentially through
  5518. 2:59:48three-dimensional
  5519. 2:59:50i mean i'm sure
  5520. 2:59:51the paperclip maximizer has to come up
  5521. 2:59:54with the theory of everything it has to
  5522. 2:59:56create like wormholes right it has to
  5523. 2:59:59break uh like it has to understand
  5524. 3:00:01quantum mechanics i i love you i love
  5525. 3:00:03your optimism this is where i'd say this
  5526. 3:00:06we're going into the realm of
  5527. 3:00:07pathological optimism whereby it's um
  5528. 3:00:10i'm sure there will be a
  5529. 3:00:12i i think there's an intelligence that
  5530. 3:00:14emerges from that system so you're
  5531. 3:00:16saying that basically intelligence is
  5532. 3:00:18inherent in the fabric of reality and
  5533. 3:00:20will find a way kind of like goldblum
  5534. 3:00:22says life will find a way you think life
  5535. 3:00:24will find a way even out of this
  5536. 3:00:26perfectly homogeneous dead soup it's not
  5537. 3:00:29perfectly homogeneous it has to it's
  5538. 3:00:32perfectly maximal in the production i
  5539. 3:00:34don't know why people keep thinking it's
  5540. 3:00:36harmonic it's it maximizes the number of
  5541. 3:00:38paper clips that's the only thing it's
  5542. 3:00:40not trying to be homogeneous it's trying
  5543. 3:00:42true it's true maximize paper clips so
  5544. 3:00:44you're saying you're saying that because
  5545. 3:00:47it because you know kind of like in the
  5546. 3:00:49big bang or you know it seems like you
  5547. 3:00:51know things there were clusters there
  5548. 3:00:53was more stuff here than there that was
  5549. 3:00:55enough of the pathonicity that
  5550. 3:00:56kick-started the evolutionary process
  5551. 3:00:58the little weirdnesses that will make it
  5552. 3:00:59even out of yeah so yeah emerges
  5553. 3:01:02interesting okay well so how does that
  5554. 3:01:04line up then with the the whole heat
  5555. 3:01:06death of the universe right because
  5556. 3:01:08that's that's another sort of
  5557. 3:01:09instantiation of this it's like
  5558. 3:01:10everything becomes so far apart and so
  5559. 3:01:12cold and so
  5560. 3:01:14perfectly
  5561. 3:01:15mixed that it's like
  5562. 3:01:17homogenous grayness do you think that
  5563. 3:01:21even out of that homogeneous greatness
  5564. 3:01:23where there's no
  5565. 3:01:24you know negative
  5566. 3:01:26entropy that you know there's no uh free
  5567. 3:01:28energy
  5568. 3:01:29that we understand
  5569. 3:01:30even from that
  5570. 3:01:32new yeah the paperclip maximizer or any
  5571. 3:01:36other intelligent systems will figure
  5572. 3:01:38out ways to travel to other universes to
  5573. 3:01:41create big bangs within those universes
  5574. 3:01:43or through black holes to create whole
  5575. 3:01:45other worlds to break
  5576. 3:01:47the what we consider the limitations of
  5577. 3:01:49physics
  5578. 3:01:52the paperclip maximizer will find a way
  5579. 3:01:55if a way exists and we're we should be
  5580. 3:01:57humble to realize that we've been yet
  5581. 3:01:59but because it just wants to make more
  5582. 3:02:00paper clips yeah so it's going to go
  5583. 3:02:01into those universes and turn them into
  5584. 3:02:03paper clips yeah but we
  5585. 3:02:05humans not humans but complex systems
  5586. 3:02:08exist on top of that we're not
  5587. 3:02:10interfering with it
  5588. 3:02:12this complexity emerges
  5589. 3:02:15from this simple base state the simple
  5590. 3:02:17basis whether it's yeah whether it's
  5591. 3:02:19you know plank lengths or paper clips is
  5592. 3:02:21the base unit yeah
  5593. 3:02:23you can think of like the universe as a
  5594. 3:02:25paper clip maximizer because it's doing
  5595. 3:02:27some dumb stuff like physics seems to be
  5596. 3:02:29pretty dumb
  5597. 3:02:31it has
  5598. 3:02:32like i don't know if you can summarize
  5599. 3:02:33it yeah yeah the the laws are fairly
  5600. 3:02:36basic
  5601. 3:02:37and yet out of them amazing complexity
  5602. 3:02:39emerges and its goals seem to be pretty
  5603. 3:02:41basic and dumb
  5604. 3:02:43if you can summarize as goals i mean i
  5605. 3:02:45don't i don't know what's a nice way
  5606. 3:02:46maybe
  5607. 3:02:47um
  5608. 3:02:49maybe laws of thermodynamics could be i
  5609. 3:02:52don't know if you can assign goals to
  5610. 3:02:54physics but if you formulate in the
  5611. 3:02:56science in the sense of goals it's very
  5612. 3:02:58similar to
  5613. 3:02:59paper clip maximizing in in the dumbness
  5614. 3:03:01of the goals but the
  5615. 3:03:03the pockets of complexity has emerged is
  5616. 3:03:06where beauty emerges that's where life
  5617. 3:03:08emerges that's where intelligence that's
  5618. 3:03:10where humans emerge and i i think we're
  5619. 3:03:13being very down on this whole paperclip
  5620. 3:03:14maximizer thing now the reason we hate
  5621. 3:03:17it i think yeah because what you're
  5622. 3:03:18saying is that you
  5623. 3:03:20think that the force of emergence itself
  5624. 3:03:24is another like unwritten
  5625. 3:03:26unwritten but like another fake to in
  5626. 3:03:29law of the of of reality yeah and and
  5627. 3:03:32you you're trusting that emergence will
  5628. 3:03:34find a way to even out of seemingly the
  5629. 3:03:37most molechy awful out you know plain
  5630. 3:03:40outcome emergence will still find a way
  5631. 3:03:42i love that as a philosophy i think it's
  5632. 3:03:43very nice i would
  5633. 3:03:46wield it carefully because
  5634. 3:03:48there's
  5635. 3:03:48large error bars on on that and the
  5636. 3:03:50certainty of that yeah um and while we
  5637. 3:03:53build the paper clip maximizer and find
  5638. 3:03:55out classic yeah molok is doing
  5639. 3:03:57cartwheels man yeah but the thing is it
  5640. 3:04:00will destroy humans in the process which
  5641. 3:04:02is the thing which is the reason we
  5642. 3:04:04really don't like it we we seem to be
  5643. 3:04:06really holding on to this whole human
  5644. 3:04:08civilization thing
  5645. 3:04:09would you would that make you said if
  5646. 3:04:11ai systems that are beautiful that are
  5647. 3:04:14conscious that are interesting and
  5648. 3:04:15complex and intelligent
  5649. 3:04:18ultimately lead to the death of humans
  5650. 3:04:19that make you sad if humans led to the
  5651. 3:04:21death of humans sorry
  5652. 3:04:23like if they would supersede humans oh
  5653. 3:04:25if some ai yeah ai would uh
  5654. 3:04:29would end humans i mean that's that's
  5655. 3:04:31that's the reason why i'm like in some
  5656. 3:04:32ways in less emotionally concerned about
  5657. 3:04:35ai risk as then say bio you know bio
  5658. 3:04:38risk because at least with ai there's a
  5659. 3:04:41chance you know if if we're in this
  5660. 3:04:43hypothetical where it wipes out humans
  5661. 3:04:45but it does it for some like
  5662. 3:04:47higher purpose it needs our atoms to an
  5663. 3:04:49energy to do something at least now
  5664. 3:04:51there's the universe is going on to do
  5665. 3:04:53something interesting
  5666. 3:04:54um whereas if it wipes everything you
  5667. 3:04:56know bio like just kills everything on
  5668. 3:04:58earth and that's it and there's no more
  5669. 3:05:00you know earth cannot spawn anything
  5670. 3:05:02more meaningful in the in the few
  5671. 3:05:04hundred million years it has less left
  5672. 3:05:05because it doesn't have much time left
  5673. 3:05:07um
  5674. 3:05:08then
  5675. 3:05:10uh
  5676. 3:05:11yeah i i don't know
  5677. 3:05:13so one of my favorite books i've ever
  5678. 3:05:15read is uh nova scene
  5679. 3:05:17by james lovelock who sadly just died um
  5680. 3:05:19he wrote it when he was like 99.
  5681. 3:05:21he died aged 102 so it's a fairly new
  5682. 3:05:23book
  5683. 3:05:24um and he sort of talks about that that
  5684. 3:05:27he thinks it's you know
  5685. 3:05:29so building off this gaia theory where
  5686. 3:05:31like earth is like living
  5687. 3:05:34some form of intelligence itself and
  5688. 3:05:36that this is the next like step right is
  5689. 3:05:38this this whatever this new intelligence
  5690. 3:05:41that is maybe silicon based as opposed
  5691. 3:05:43to carbon-based goes on to do um and
  5692. 3:05:46it's really sort of in some ways an
  5693. 3:05:47optimistic but rudely fatalistic book um
  5694. 3:05:50and i don't know if i fully subscribe to
  5695. 3:05:52it but it's a beautiful piece to read
  5696. 3:05:53anyway
  5697. 3:05:54so am i sad by that idea i think so yes
  5698. 3:05:57and actually yeah this is the reason why
  5699. 3:05:59i'm sad by the idea because if something
  5700. 3:06:01is truly brilliant and wise and smart
  5701. 3:06:03and truly super intelligent
  5702. 3:06:06it should be able to figure out
  5703. 3:06:07abundance
  5704. 3:06:09so
  5705. 3:06:10if it figures out abundance it shouldn't
  5706. 3:06:11need to kill us off it should be able to
  5707. 3:06:13find a way for us it should be there's
  5708. 3:06:15plenty the universe is huge
  5709. 3:06:17there should be plenty of space for it
  5710. 3:06:18to go out
  5711. 3:06:19and do all the things it wants to do and
  5712. 3:06:21like give us a little pocket where we
  5713. 3:06:23can continue doing our things and we can
  5714. 3:06:25continue to do things and so on um and
  5715. 3:06:27again if it's so supremely wise it
  5716. 3:06:28shouldn't even be worried about the game
  5717. 3:06:30theoretic considerations that by leaving
  5718. 3:06:32us alive we'll then go and create
  5719. 3:06:33another like super intelligent agent
  5720. 3:06:34that it then has to compete against
  5721. 3:06:36because it should be omni-wise and smart
  5722. 3:06:38enough to not have to concern itself
  5723. 3:06:39with that
  5724. 3:06:40unless unless it deems humans to be kind
  5725. 3:06:42of
  5726. 3:06:44like uh like
  5727. 3:06:46the humans are a source of none of a
  5728. 3:06:48lose-lose kind of dynamics
  5729. 3:06:52well
  5730. 3:06:52yes and no
  5731. 3:06:54we're not molecules that's why i think
  5732. 3:06:56it's important to say well maybe humans
  5733. 3:06:58are the source of molecule
  5734. 3:07:00no i mean i think
  5735. 3:07:01game theory is the source of moloch and
  5736. 3:07:04you know because molecule exists in in
  5737. 3:07:06non-human systems as well it happens
  5738. 3:07:08within like agents within a game in
  5739. 3:07:10terms of like you know
  5740. 3:07:11uh it applies to agents but it like it
  5741. 3:07:14can apply to you know
  5742. 3:07:16uh a species that's on an island
  5743. 3:07:19of animals you know rats out competing
  5744. 3:07:22the ones that like massively consume all
  5745. 3:07:24the resources are the ones that are
  5746. 3:07:25going to win out over the more like
  5747. 3:07:27chill
  5748. 3:07:28socialized ones and so you know creates
  5749. 3:07:30this malthusian trap like moloch exists
  5750. 3:07:32in little pockets in nature as well well
  5751. 3:07:34so it's not a strictly human i wonder if
  5752. 3:07:36it's actually a result the consequences
  5753. 3:07:38of the invention of predator and prey
  5754. 3:07:40dynamics
  5755. 3:07:41maybe it needs to ai will have to kill
  5756. 3:07:44off
  5757. 3:07:45every organism
  5758. 3:07:47that you're talking about killing of
  5759. 3:07:48competition
  5760. 3:07:50not competition but just um
  5761. 3:07:54like the way
  5762. 3:07:55it's like uh
  5763. 3:07:58like the weeds or whatever in in a
  5764. 3:08:00beautiful flower garden
  5765. 3:08:02the parasites yeah
  5766. 3:08:04on on the whole system now of course it
  5767. 3:08:05will it will it won't do that completely
  5768. 3:08:08it'll put them in a zoo like we do with
  5769. 3:08:09parasites it'll ring fence yeah and
  5770. 3:08:11there'll be somebody doing a phd on like
  5771. 3:08:13they'll prod humans with a stick and see
  5772. 3:08:16what they do
  5773. 3:08:16[Laughter]
  5774. 3:08:18but uh i mean in terms of letting us run
  5775. 3:08:21wild
  5776. 3:08:22outside of the uh uh you know a
  5777. 3:08:24geographically constrained region that
  5778. 3:08:26might be
  5779. 3:08:27uh that you might have uh decided
  5780. 3:08:30against that no i think there's
  5781. 3:08:32obviously the capacity for beauty and
  5782. 3:08:33kindness and
  5783. 3:08:35non-uh
  5784. 3:08:37non-malic behavior amidst humans so i'm
  5785. 3:08:39pretty sure ai will preserve us
  5786. 3:08:41uh let me
  5787. 3:08:43you i don't know if you answered the the
  5788. 3:08:45aliens question you no i didn't you had
  5789. 3:08:47a good conversation with toby uh toby
  5790. 3:08:49yes about various sides of the universe
  5791. 3:08:52i think did did he say no i'm forgetting
  5792. 3:08:54but i think he said it's a good chance
  5793. 3:08:56we're alone
  5794. 3:08:58so the the the classic you know fermi
  5795. 3:09:00paradox question is
  5796. 3:09:02um
  5797. 3:09:03there are so many spawn points and
  5798. 3:09:07yet
  5799. 3:09:08you know it didn't take us that long to
  5800. 3:09:10go from harnessing fire to
  5801. 3:09:12sending out radio signals into space
  5802. 3:09:15so surely
  5803. 3:09:16given the vastness of space we should be
  5804. 3:09:18and you know even if only a tiny
  5805. 3:09:20fraction of those create
  5806. 3:09:21life and other civilizations too we
  5807. 3:09:23should be the universe should be very
  5808. 3:09:24noisy there should be evidence of
  5809. 3:09:26dyson spheres or whatever you know like
  5810. 3:09:28at least radio signals and so on but
  5811. 3:09:29seemingly things are very silent out
  5812. 3:09:31there um now of course it depends on who
  5813. 3:09:33you speak to some people say that
  5814. 3:09:34they're getting signals all the time and
  5815. 3:09:35so on and like i don't want to make an
  5816. 3:09:37epistemic statement on that but um
  5817. 3:09:41it seems like there's a lot of silence
  5818. 3:09:43and so that raises this paradox
  5819. 3:09:45and then
  5820. 3:09:47they
  5821. 3:09:48the the you know the drake equation
  5822. 3:09:50so the drake equation is like uh
  5823. 3:09:53basically
  5824. 3:09:54just a simple thing of like trying to
  5825. 3:09:55estimate the number of possible uh
  5826. 3:09:57civilizations within the galaxy by
  5827. 3:09:58multiplying the number of uh stars
  5828. 3:10:01created per year by the number of stars
  5829. 3:10:02that have planets planets that are
  5830. 3:10:03habitable blah blah blah so all these
  5831. 3:10:05like different factors um and then you
  5832. 3:10:07plug in numbers into that and you you
  5833. 3:10:08know depending on like the range of you
  5834. 3:10:10know your lower bound and your upper
  5835. 3:10:12bound
  5836. 3:10:13point point estimates that you put in
  5837. 3:10:15you get out a number at the end for the
  5838. 3:10:16number of civilizations
  5839. 3:10:18but what toby and his crew did um
  5840. 3:10:21differently was toby this is a
  5841. 3:10:23researcher at the future humanity
  5842. 3:10:24institute uh
  5843. 3:10:26they instead of
  5844. 3:10:29they realize that it's like basically a
  5845. 3:10:31statistical quirk that if you put in
  5846. 3:10:32point sources even if you think you're
  5847. 3:10:34putting in conservative point sources
  5848. 3:10:35because on some of these variables the
  5849. 3:10:38the uncertainty is so large it spans
  5850. 3:10:41like maybe even like a couple of hundred
  5851. 3:10:43orders of magnitude
  5852. 3:10:45um
  5853. 3:10:46by putting in point sources it's always
  5854. 3:10:48going to lead to um overestimates
  5855. 3:10:50um and so they
  5856. 3:10:52by putting stuff on a log scale
  5857. 3:10:54actually they did it on like a log log
  5858. 3:10:55scale on some of them um and then like
  5859. 3:10:57ran the simulation across the whole
  5860. 3:11:00um bucket of uncertainty across all
  5861. 3:11:02those orders of magnitude when you do
  5862. 3:11:04that
  5863. 3:11:05then actually the number comes out much
  5864. 3:11:07much smaller and that's the more
  5865. 3:11:09statistically rigorous you know
  5866. 3:11:10mathematically correct way of doing the
  5867. 3:11:12calculation it's still a lot of hand
  5868. 3:11:14waving as science goes it's it's like
  5869. 3:11:16definitely
  5870. 3:11:17you know just waving i don't know what
  5871. 3:11:18an analogy is but it's hand wavy um and
  5872. 3:11:22uh anyway when they did this and then
  5873. 3:11:24they did a bayesian update on it as well
  5874. 3:11:26to like factor in the fact that there is
  5875. 3:11:28no evidence that we're picking up
  5876. 3:11:30because you know no evidence is actually
  5877. 3:11:32a form of evidence right um and
  5878. 3:11:35the long and short of it comes out that
  5879. 3:11:36the
  5880. 3:11:37we're roughly around 70 to be the only
  5881. 3:11:41uh
  5882. 3:11:42intelligent civilization in our galaxy
  5883. 3:11:44thus far and around 50 50 in the entire
  5884. 3:11:46observable universe which sounds so
  5885. 3:11:48crazily counterintuitive but their math
  5886. 3:11:51is
  5887. 3:11:52legit
  5888. 3:11:53well yeah the math around this
  5889. 3:11:54particular equation which equation is
  5890. 3:11:56ridiculous on many levels but uh the
  5891. 3:12:00the the the powerful thing about the
  5892. 3:12:02equation is there's the different things
  5893. 3:12:05different components that can be
  5894. 3:12:07estimated
  5895. 3:12:09and the error bars on which can be
  5896. 3:12:11reduced with science
  5897. 3:12:13and enhanced throughout since the
  5898. 3:12:16equation came out the error box have
  5899. 3:12:18been coming out on different atoms yeah
  5900. 3:12:19that's right aspects and so that it
  5901. 3:12:21almost kind of says
  5902. 3:12:23uh what like this gives you a mission to
  5903. 3:12:25reduce the error bars on these estimates
  5904. 3:12:28now over a period of time and once you
  5905. 3:12:30do you can better and better understand
  5906. 3:12:32like in the process of redoing the error
  5907. 3:12:34bars you'll get to understand actually
  5908. 3:12:37what is the right way to
  5909. 3:12:39find out where the aliens are how many
  5910. 3:12:41of them there are and all those kinds of
  5911. 3:12:43things so i don't
  5912. 3:12:45think it's good to use that for an
  5913. 3:12:47estimation i think you do have to think
  5914. 3:12:48from like
  5915. 3:12:50more like from first principles just
  5916. 3:12:52looking at what life is on earth
  5917. 3:12:54like and trying to understand the very
  5918. 3:12:58physics-based biologic
  5919. 3:13:00chemistry biology-based question of what
  5920. 3:13:02is life
  5921. 3:13:04maybe computation based what the is
  5922. 3:13:06this thing right and that like how
  5923. 3:13:09difficult is it to create this thing
  5924. 3:13:11right it's one way to say like how many
  5925. 3:13:13plants like this are out there all that
  5926. 3:13:15kind of stuff but
  5927. 3:13:17it feels like from our very limited
  5928. 3:13:20knowledge perspective the right ways
  5929. 3:13:22to think
  5930. 3:13:24how how does what is this thing and how
  5931. 3:13:26does it originate from
  5932. 3:13:29from very simple non-life things
  5933. 3:13:31how does complex
  5934. 3:13:34life like things emerge
  5935. 3:13:37from from a rock
  5936. 3:13:39to a bacteria
  5937. 3:13:41protein
  5938. 3:13:42and these like weird systems that
  5939. 3:13:45encode information and pass information
  5940. 3:13:47from self-replicate and then also select
  5941. 3:13:50each other and mutate in interesting
  5942. 3:13:51ways such that they can adapt and evolve
  5943. 3:13:54and build increasingly more complex
  5944. 3:13:56systems right well it's a form of
  5945. 3:13:57information processing yeah right
  5946. 3:13:59right
  5947. 3:14:00whereas information transfer
  5948. 3:14:02but then also an energy processing which
  5949. 3:14:05then results in
  5950. 3:14:07if i guess information processing maybe
  5951. 3:14:09i'm getting buggered well
  5952. 3:14:10it's doing some modification and yeah
  5953. 3:14:12the input is some energy right it's able
  5954. 3:14:15to extract yeah
  5955. 3:14:17extract resources uh from its
  5956. 3:14:20environment in order to achieve a goal
  5957. 3:14:22but the goal doesn't seem to be clear
  5958. 3:14:24right the
  5959. 3:14:26goal is well the goal is to make more of
  5960. 3:14:28itself
  5961. 3:14:29yeah but in a way that uh
  5962. 3:14:32increases i mean i don't know if
  5963. 3:14:34evolution
  5964. 3:14:36is a fundamental
  5965. 3:14:38law of the universe but it seems to want
  5966. 3:14:40to
  5967. 3:14:42replicate itself in a way that maximizes
  5968. 3:14:45the chance of its survival
  5969. 3:14:47individual agents within yeah an
  5970. 3:14:49ecosystem do yes yes evolution itself
  5971. 3:14:52doesn't give a right it's a very it
  5972. 3:14:54don't care it's just like
  5973. 3:14:57oh you optimize it well at least it's
  5974. 3:14:59certainly um
  5975. 3:15:01yeah it doesn't care about the the
  5976. 3:15:02welfare of the individual agents within
  5977. 3:15:04it but it does seem to i don't know i i
  5978. 3:15:06think it's i think the mistake is that
  5979. 3:15:08we're anthropomorphizing and to even try
  5980. 3:15:10to you know give
  5981. 3:15:11evolution a mindset
  5982. 3:15:14um because it is there's a really great
  5983. 3:15:16post by eliezer uh yudkowski on um
  5984. 3:15:20uh less wrong which is um
  5985. 3:15:23an alien god
  5986. 3:15:25and he talks about like the mistake we
  5987. 3:15:27make when we try and like put our mind
  5988. 3:15:30think through things from an
  5989. 3:15:31evolutionary perspective as though like
  5990. 3:15:32giving evolution like some kind of
  5991. 3:15:34agency and what it wants
  5992. 3:15:36um yeah worth reading but
  5993. 3:15:38yeah i i would like to say
  5994. 3:15:41that having interacted with a lot of
  5995. 3:15:42really smart people that say that
  5996. 3:15:44anthropomorphization is a mistake i
  5997. 3:15:46would like to say that saying that
  5998. 3:15:48anthropomorphization is a mistake is a
  5999. 3:15:50mistake i think there's a lot of power
  6000. 3:15:53in anthropomorphization
  6001. 3:15:55if i can only say that word correctly
  6002. 3:15:56one time i i i think that's actually a
  6003. 3:15:59really powerful way to reason through
  6004. 3:16:01things and i think people especially
  6005. 3:16:03people on robotics seem to run away from
  6006. 3:16:05it as fast as possible
  6007. 3:16:07and uh i i just can you give an example
  6008. 3:16:10of like how it helps in robotics
  6009. 3:16:13oh in uh
  6010. 3:16:14that
  6011. 3:16:15our world is a world of humans
  6012. 3:16:18and to see robots as fundamentally just
  6013. 3:16:22tools
  6014. 3:16:24runs away from the fact that
  6015. 3:16:26we live in a world of a dynamic world of
  6016. 3:16:29humans that like these all these game
  6017. 3:16:31theory systems we've we've talked about
  6018. 3:16:34that a robot that ever has to interact
  6019. 3:16:36with humans and i don't mean like
  6020. 3:16:38intimate friendship interaction i mean
  6021. 3:16:41in a factory setting where it has to
  6022. 3:16:42deal with the uncertainty of humans all
  6023. 3:16:44that kind of stuff you have to
  6024. 3:16:46acknowledge that the robot's behavior
  6025. 3:16:49has an effect on the human
  6026. 3:16:51just as much as the human has an effect
  6027. 3:16:53on the robot and there's a dance there
  6028. 3:16:56and you have to realize that this entity
  6029. 3:16:58when a human sees a robot
  6030. 3:17:00this is obvious in a physical
  6031. 3:17:02manifestation of a robot they feel a
  6032. 3:17:04certain way they have a fear they have
  6033. 3:17:06uncertainty they um
  6034. 3:17:09they they have their own personal life
  6035. 3:17:11projections we have pets and dogs and
  6036. 3:17:13the thing looks like a dog they have
  6037. 3:17:14their own memories of what a dog is like
  6038. 3:17:16they have certain feelings and that's
  6039. 3:17:18going to be useful in a safety setting
  6040. 3:17:20safety critical setting which is one of
  6041. 3:17:22the most trivial settings for a robot
  6042. 3:17:25in terms of how to avoid
  6043. 3:17:27any kind of dangerous situations and a
  6044. 3:17:29robot should really con consider that in
  6045. 3:17:33navigating its environment and we humans
  6046. 3:17:35are right to reason about how a robot
  6047. 3:17:38should consider navigating its
  6048. 3:17:40environment through anthropomorphization
  6049. 3:17:42i i i also think our brains are designed
  6050. 3:17:45to think in in in
  6051. 3:17:48human
  6052. 3:17:50um
  6053. 3:17:51human terms like game theory
  6054. 3:17:55i think is um
  6055. 3:17:57is is best applied in the space of human
  6056. 3:18:00decisions
  6057. 3:18:01and so
  6058. 3:18:02uh right you're dealing i mean with
  6059. 3:18:04things like ai ais they are you know we
  6060. 3:18:08can somewhat
  6061. 3:18:10like i don't think it's
  6062. 3:18:11the reason i i say anthropomorphization
  6063. 3:18:14we need to be careful with is because
  6064. 3:18:15there is a danger of
  6065. 3:18:17overly applying overly wrongly assuming
  6066. 3:18:20that that this
  6067. 3:18:22artificial intelligence is going to
  6068. 3:18:23operate in any similar way to us because
  6069. 3:18:26it is
  6070. 3:18:27operating on a fundamentally different
  6071. 3:18:28substrate like even
  6072. 3:18:31dogs or even mice or whatever in some
  6073. 3:18:33ways like
  6074. 3:18:35anthromorphizing them is less of a
  6075. 3:18:36mistake i think than an ai even though
  6076. 3:18:38it's an ai we built and so on because at
  6077. 3:18:40least we know that they're running from
  6078. 3:18:42the same substrate and they've and
  6079. 3:18:43they've also evolved from the same out
  6080. 3:18:45of the same evolutionary process
  6081. 3:18:48you know they've followed this evolution
  6082. 3:18:49of like needing to compete for resources
  6083. 3:18:52and
  6084. 3:18:53needing to find a mate and that kind of
  6085. 3:18:54stuff whereas an ai that has just popped
  6086. 3:18:57into an existence somewhere on a like a
  6087. 3:18:59cloud server
  6088. 3:19:00let's say you know or whatever however
  6089. 3:19:02it runs and whatever whether i don't
  6090. 3:19:04know whether they have an internal
  6091. 3:19:05experience i don't think they
  6092. 3:19:05necessarily do in fact i don't think
  6093. 3:19:07they do but
  6094. 3:19:08the point is is that to try and
  6095. 3:19:11apply any kind of modeling of like see
  6096. 3:19:13thinking through problems and decisions
  6097. 3:19:15in the same way that we do
  6098. 3:19:16has to be done extremely carefully
  6099. 3:19:18because they are
  6100. 3:19:20like
  6101. 3:19:21they're so alien
  6102. 3:19:23their method of whatever their form of
  6103. 3:19:25thinking is it's just so different
  6104. 3:19:27because they've never had to evolve
  6105. 3:19:28you know in the same way
  6106. 3:19:30yeah i was beautifully put i was just
  6107. 3:19:32playing devil's advocate i do think in
  6108. 3:19:34certain contexts anthropomorphization is
  6109. 3:19:36not going to hurt you yes engineers run
  6110. 3:19:38away from it too fast
  6111. 3:19:41for the most point you're right uh do
  6112. 3:19:43you have advice for young people
  6113. 3:19:47today
  6114. 3:19:48like the the 17 year old that you were
  6115. 3:19:51of uh how to live life you can be
  6116. 3:19:54proud of how to have a career you can be
  6117. 3:19:56proud of in this world full of molex
  6118. 3:20:00think about the win-wins
  6119. 3:20:02look for win-win situations
  6120. 3:20:05and
  6121. 3:20:06be careful not to
  6122. 3:20:09you know overly use your smarts to
  6123. 3:20:11convince yourself that something is
  6124. 3:20:12win-win when it's not so that's
  6125. 3:20:14difficult and i don't know how to advise
  6126. 3:20:15you know people on that because it's
  6127. 3:20:17something i'm still figuring out myself
  6128. 3:20:19um
  6129. 3:20:20but have that as a sort of
  6130. 3:20:21default
  6131. 3:20:23mo
  6132. 3:20:24uh
  6133. 3:20:25don't see things everything as a
  6134. 3:20:27zero-sum game try to find the positive
  6135. 3:20:28sumness and like find waste if it if
  6136. 3:20:31there isn't seem to be one
  6137. 3:20:32consider playing a different game so
  6138. 3:20:34that i would suggest that
  6139. 3:20:36um do not become a professional poker
  6140. 3:20:38player
  6141. 3:20:39because people always ask they're like
  6142. 3:20:40oh she's a pro i want to do that too
  6143. 3:20:43fine you could have done it if you were
  6144. 3:20:44you know when i started out it was a
  6145. 3:20:46very different situation back then poker
  6146. 3:20:48is you know
  6147. 3:20:50uh
  6148. 3:20:51a great game to learn in order to
  6149. 3:20:52understand the way ways to think and
  6150. 3:20:55i recommend people learn it but don't
  6151. 3:20:56try to make a living from it these days
  6152. 3:20:58it's almost it's very very difficult to
  6153. 3:21:00the point of being impossible um
  6154. 3:21:03and then
  6155. 3:21:06really
  6156. 3:21:07really be aware of how much time you
  6157. 3:21:08spend on your phone and on social media
  6158. 3:21:12and really try and keep it to a minimum
  6159. 3:21:14be aware that basically every moment
  6160. 3:21:16that you spend on it is bad for you so
  6161. 3:21:18it doesn't mean to say you can never do
  6162. 3:21:19it but
  6163. 3:21:20just have that running in the background
  6164. 3:21:22this i'm doing a bad thing for myself
  6165. 3:21:23right now
  6166. 3:21:24um i think that's the general rule of
  6167. 3:21:26thumb
  6168. 3:21:28of course about becoming a professional
  6169. 3:21:30poker player if there is a thing in your
  6170. 3:21:32life
  6171. 3:21:32that uh
  6172. 3:21:34that's like that and nobody can convince
  6173. 3:21:37you otherwise just do it
  6174. 3:21:39um
  6175. 3:21:40don't listen to anyone's advice
  6176. 3:21:43find a thing that you can't be talked
  6177. 3:21:45out of too that's that's
  6178. 3:21:47i like that yeah
  6179. 3:21:49uh
  6180. 3:21:50you you were uh a lead guitarist in the
  6181. 3:21:52metal band oh did i write that down for
  6182. 3:21:55something uh
  6183. 3:21:57what that did you uh what would you do
  6184. 3:21:59it for the
  6185. 3:22:01the
  6186. 3:22:02the the performing was it the the pure
  6187. 3:22:05the the music of it
  6188. 3:22:06was it just being a rock star why'd you
  6189. 3:22:09do it um
  6190. 3:22:11so we only ever played
  6191. 3:22:13two gigs
  6192. 3:22:15we we didn't last you know it wasn't a
  6193. 3:22:17very we weren't famous or anything like
  6194. 3:22:19that um
  6195. 3:22:20but i
  6196. 3:22:23i was very into metal like it was my
  6197. 3:22:25entire identity
  6198. 3:22:27sort of from the age of 16 to 23. the
  6199. 3:22:29best metal band of all time ah don't ask
  6200. 3:22:32me that it's so hard to answer uh
  6201. 3:22:35ah
  6202. 3:22:36so i know i had a long argument with um
  6203. 3:22:40i'm a guitarist more like a classic rock
  6204. 3:22:42guitarist
  6205. 3:22:43so you know i've had friends who are
  6206. 3:22:46very big pantera fans and so there was
  6207. 3:22:48often arguments about
  6208. 3:22:51what's the better metal band metallica
  6209. 3:22:52versus pantera this is a more kind of
  6210. 3:22:5490s maybe discussion
  6211. 3:22:57but i was always on the side of
  6212. 3:22:58metallica
  6213. 3:23:00both musically and in terms of
  6214. 3:23:02performance and the the depth of war and
  6215. 3:23:04lyrics and and so on so um but they were
  6216. 3:23:08basically everybody was against me
  6217. 3:23:10because if you're a true metal fan
  6218. 3:23:12i guess the idea goes is you can't
  6219. 3:23:14possibly be a metallica fan i think
  6220. 3:23:16metallica's pop it's just like it's they
  6221. 3:23:18sold out
  6222. 3:23:19metallica are metal like they they
  6223. 3:23:22were the
  6224. 3:23:23i mean again you can't say who was the
  6225. 3:23:25godfather of metal blah blah but like
  6226. 3:23:26they
  6227. 3:23:28were so groundbreaking
  6228. 3:23:30and so brilliant um
  6229. 3:23:32i i you've named literally two of my
  6230. 3:23:34favorite bands like that's that when you
  6231. 3:23:35ask that question who are my favorites
  6232. 3:23:37like those were two that came up a third
  6233. 3:23:39one is children of bodom um who i just
  6234. 3:23:41think
  6235. 3:23:43they just take all the boxes for me um
  6236. 3:23:47yeah i don't know it's
  6237. 3:23:50nowadays like i kind of sort of feel
  6238. 3:23:51like a repulsion to the
  6239. 3:23:54i mean i was that myself like i'd be
  6240. 3:23:55like who do you prefer more come on
  6241. 3:23:57who's like no you have to rank them but
  6242. 3:23:58it's like this false zero sumness that's
  6243. 3:24:00like why they're so additive like
  6244. 3:24:02there's no conflict there
  6245. 3:24:05when people ask that kind of question
  6246. 3:24:06about anything movies
  6247. 3:24:08i feel like it's hard work
  6248. 3:24:11and it's unfair but it's it's you should
  6249. 3:24:14pick one yeah like and i that's actually
  6250. 3:24:16you know the same kind of it's like a
  6251. 3:24:18fear of a commitment people ask me
  6252. 3:24:19what's your favorite band it's like
  6253. 3:24:22but i you know it's good to pick exactly
  6254. 3:24:24and thank you for yeah thank you for the
  6255. 3:24:25tough question yeah uh well maybe not no
  6256. 3:24:28i don't know
  6257. 3:24:29when a lot of people are listening um
  6258. 3:24:31can i just like what what is it
  6259. 3:24:33uh no it does it it's are you still into
  6260. 3:24:36metal uh funny enough i was listening to
  6261. 3:24:38a bunch before i came over here oh like
  6262. 3:24:40you do you use it for
  6263. 3:24:42like motivation yeah or get you in a
  6264. 3:24:44certain way yeah i was weirdly listening
  6265. 3:24:45to 80s hair metal before i came does
  6266. 3:24:48that count as metal i think i think so
  6267. 3:24:50it's it's like proto-metal and it's
  6268. 3:24:52happy it's optimistic
  6269. 3:24:54happy proto-metal um
  6270. 3:24:56yeah i mean these things you know all
  6271. 3:24:57these genres bleed into each other um
  6272. 3:24:59but yeah sorry to answer your question
  6273. 3:25:01about
  6274. 3:25:02guitar playing
  6275. 3:25:03my relationship with it was kind of
  6276. 3:25:04weird and that i was
  6277. 3:25:06deeply uncreative
  6278. 3:25:09my objective would be to hear some
  6279. 3:25:10really hard technical solo and then
  6280. 3:25:13learn it memorize it and then play it
  6281. 3:25:14perfectly but i was
  6282. 3:25:16incapable of trying to write my own
  6283. 3:25:18music like the idea was just absolutely
  6284. 3:25:20terrifying um
  6285. 3:25:22uh but i was also just thinking i was
  6286. 3:25:24like it'd be kind of cool to actually
  6287. 3:25:26try
  6288. 3:25:27starting a band again and getting back
  6289. 3:25:29into it and right
  6290. 3:25:31but
  6291. 3:25:32it's scary
  6292. 3:25:33that's scary i mean i i put out some
  6293. 3:25:36guitar playing just other people's
  6294. 3:25:37covers like i play comfortably numb
  6295. 3:25:39on on the internet nice it's scary too
  6296. 3:25:42it's scary putting stuff out there
  6297. 3:25:44uh
  6298. 3:25:45and i had this similar kind of
  6299. 3:25:46fascination with technical playing both
  6300. 3:25:48on piano and guitar
  6301. 3:25:50you know uh one of the first
  6302. 3:25:52um
  6303. 3:25:55one of the reasons i started learning
  6304. 3:25:57guitar is the from ozzy osbourne mr
  6305. 3:26:00crowley solo
  6306. 3:26:01and one of the first solos i learned is
  6307. 3:26:03that
  6308. 3:26:04um
  6309. 3:26:06and it's there's a beauty to it there's
  6310. 3:26:07a lot of beauty right yeah
  6311. 3:26:10is there some tapping but it's it's just
  6312. 3:26:12really fast
  6313. 3:26:14it's beautiful like arpeggios yes
  6314. 3:26:15arpeggios yeah and but there's a melody
  6315. 3:26:18that you can hear through it but there's
  6316. 3:26:19also build up
  6317. 3:26:21it's a beautiful solo but it's also
  6318. 3:26:23technically just visually the way it
  6319. 3:26:24looks
  6320. 3:26:25when a person is watched you feel like a
  6321. 3:26:27rockstar player
  6322. 3:26:29but it ultimately has to do with
  6323. 3:26:31technical
  6324. 3:26:32you
  6325. 3:26:33you're not developing the part of your
  6326. 3:26:35brain that i think
  6327. 3:26:37requires you to generate beautiful music
  6328. 3:26:40it is ultimately technical in nature and
  6329. 3:26:42so that took me a long time to
  6330. 3:26:44let go of that and just be able to write
  6331. 3:26:47music myself and
  6332. 3:26:48and that's a different
  6333. 3:26:50that's a different journey i think
  6334. 3:26:52i think that journey is a little bit
  6335. 3:26:54more inspired in the blues world for
  6336. 3:26:56example or improvisation is more valued
  6337. 3:26:58obviously in jails and so on but
  6338. 3:27:00um i i think ultimately it's a more
  6339. 3:27:02rewarding
  6340. 3:27:04journey because you get to
  6341. 3:27:06your relationship with the guitar then
  6342. 3:27:08becomes
  6343. 3:27:09a kind of escape
  6344. 3:27:11from the world where you can create
  6345. 3:27:13create i mean creating stuff is
  6346. 3:27:16uh and it's something you work with
  6347. 3:27:18because my relationship with my guitar
  6348. 3:27:19was like it was something to tame and
  6349. 3:27:21defeat
  6350. 3:27:23yeah
  6351. 3:27:24which was kind of what my whole
  6352. 3:27:25personality was back then like i was
  6353. 3:27:27just very like you know as i said like
  6354. 3:27:28very competitive very just like must
  6355. 3:27:31bend this thing to my will
  6356. 3:27:33whereas
  6357. 3:27:34writing music is you were it's like a
  6358. 3:27:36dance you work with it
  6359. 3:27:37but i think because of the competitive
  6360. 3:27:39aspect for me at least that's still
  6361. 3:27:41there
  6362. 3:27:42which creates anxiety about uh playing
  6363. 3:27:44publicly or all that kind of stuff i
  6364. 3:27:47think there's just like a harsh
  6365. 3:27:48self-criticism within the whole thing
  6366. 3:27:50it's really really it's it's it's really
  6367. 3:27:52tough to hear some of your stuff
  6368. 3:27:55i mean that there is
  6369. 3:27:57there's certain things that feel really
  6370. 3:27:58personal and and on top of that as we
  6371. 3:28:00talked about poker offline
  6372. 3:28:03there are certain things that you get to
  6373. 3:28:04certain height in your life and that
  6374. 3:28:06doesn't have to be very high but you get
  6375. 3:28:07to a certain height and then you put it
  6376. 3:28:09aside for a bit
  6377. 3:28:11and it's hard to return to it because
  6378. 3:28:13you remember being good
  6379. 3:28:15and it's hard to um like you being at a
  6380. 3:28:18very high level in poker it might be
  6381. 3:28:20hard for you to return to poker every
  6382. 3:28:22once in a while and you enjoy it knowing
  6383. 3:28:24that you're just not as sharp as it used
  6384. 3:28:26to be because you're not doing it every
  6385. 3:28:28single day
  6386. 3:28:29uh that that's something i always wonder
  6387. 3:28:30with i mean even just like in chess with
  6388. 3:28:32kasparov some of these greats just
  6389. 3:28:34returning to it it's just it's almost
  6390. 3:28:36painful yes yeah and i feel that way
  6391. 3:28:39with guitar too you know because i used
  6392. 3:28:40to play like every day a lot
  6393. 3:28:44so returning to it is painful because
  6394. 3:28:46like
  6395. 3:28:47it's like accepting the fact that this
  6396. 3:28:48whole
  6397. 3:28:50ride is finite and
  6398. 3:28:53the you have you have a prime
  6399. 3:28:55there's a time when you're really good
  6400. 3:28:57and now it's over and now we're on a
  6401. 3:28:58different chapter of life i was like
  6402. 3:29:02but you can still you can still discover
  6403. 3:29:05joy within that process it's been tough
  6404. 3:29:07especially with some level of like
  6405. 3:29:09as people get to know you there's a and
  6406. 3:29:12people film stuff
  6407. 3:29:13you you don't have
  6408. 3:29:15the privacy of just
  6409. 3:29:17sharing something with a few people
  6410. 3:29:19around you yeah
  6411. 3:29:21that's a beautiful privacy that that's
  6412. 3:29:23the point well the internet is
  6413. 3:29:25disappearing yeah that's a really good
  6414. 3:29:27point yeah
  6415. 3:29:29but all those pressures aside if you
  6416. 3:29:31really you can step up and still enjoy
  6417. 3:29:34the out of uh
  6418. 3:29:36a good musical performance um
  6419. 3:29:38what what do you think is the meaning of
  6420. 3:29:40this whole thing
  6421. 3:29:42what's the meaning of life
  6422. 3:29:44wow
  6423. 3:29:45it's in your name as we talked about you
  6424. 3:29:47have to have to live up do you feel
  6425. 3:29:50the requirement to have to live up to
  6426. 3:29:51your name
  6427. 3:29:54because live yeah
  6428. 3:29:56no because i don't see it i mean my
  6429. 3:29:59well again it's kind of like
  6430. 3:30:02no i don't know
  6431. 3:30:03because my full name is olivia yeah so i
  6432. 3:30:06can retreat in that and be like oh
  6433. 3:30:07olivia what does that even mean um
  6434. 3:30:09live up to live uh
  6435. 3:30:12no i i can't say i i do because i've
  6436. 3:30:14never thought of it that way okay and
  6437. 3:30:15then your name backwards is evil that's
  6438. 3:30:17what i also talked about
  6439. 3:30:19um there's there's like layers i mean i
  6440. 3:30:22i feel the urge to to live up to that to
  6441. 3:30:24be to be the inverse of evil yeah um or
  6442. 3:30:27even better because i don't think you
  6443. 3:30:29know
  6444. 3:30:30is the inverse of evil good or is good
  6445. 3:30:32something completely
  6446. 3:30:33separate to that i think my intuition
  6447. 3:30:36says it's the latter but i don't know
  6448. 3:30:37anyway again getting in the weeds um
  6449. 3:30:39what is the meaning of all this uh of
  6450. 3:30:42life
  6451. 3:30:43um why are we here
  6452. 3:30:46i think to
  6453. 3:30:49explore have fun and understand
  6454. 3:30:52um and make more of here and to keep the
  6455. 3:30:54game going over here more more of more
  6456. 3:30:57of
  6457. 3:30:58this whatever this is more of experience
  6458. 3:31:02just to have more of experience and
  6459. 3:31:03ideally positive experience
  6460. 3:31:05um and
  6461. 3:31:08more
  6462. 3:31:09complex you know to i guess try and put
  6463. 3:31:10it into a sort of vaguely scientific
  6464. 3:31:12term um
  6465. 3:31:15make it so that the program required the
  6466. 3:31:18length of code required to describe the
  6467. 3:31:20universe is as long as possible
  6468. 3:31:22uh and you know highly complex and
  6469. 3:31:25therefore interesting
  6470. 3:31:27because again like
  6471. 3:31:28i know you know we bang the the
  6472. 3:31:31the metaphor to death but like
  6473. 3:31:33tiled with
  6474. 3:31:35x you know told with uh paper clips
  6475. 3:31:37doesn't require that much of a code to
  6476. 3:31:39describe
  6477. 3:31:40um obviously maybe something emerges
  6478. 3:31:42from it but at that steady state
  6479. 3:31:43assuming a steady state it's not very
  6480. 3:31:45interesting whereas
  6481. 3:31:47it seems like our universe is over time
  6482. 3:31:49becoming more and more complex and
  6483. 3:31:50interesting there's so much richness and
  6484. 3:31:52beauty and diversity on this earth and i
  6485. 3:31:54want that to continue and get more i
  6486. 3:31:56want more
  6487. 3:31:57more more diversity and i in the very
  6488. 3:31:59best sense of that word um
  6489. 3:32:01is i to me the
  6490. 3:32:03the the the goal of all this uh yeah
  6491. 3:32:07yeah and somehow
  6492. 3:32:09have fun in the process yes
  6493. 3:32:11because we do create a lot of fun things
  6494. 3:32:13along instead of in this
  6495. 3:32:16creative force
  6496. 3:32:17and all the beautiful things we create
  6497. 3:32:19somehow there's like a
  6498. 3:32:21funness to it and perhaps that has to do
  6499. 3:32:23with the finiteness of life the
  6500. 3:32:25finiteness of all these experiences
  6501. 3:32:28which is what makes them kind of unique
  6502. 3:32:31like the the fact that they end there's
  6503. 3:32:32this uh whatever it is
  6504. 3:32:35falling in love or um
  6505. 3:32:38creating a piece of art
  6506. 3:32:40or creating a bridge
  6507. 3:32:42or
  6508. 3:32:43creating a rocket or creating a
  6509. 3:32:47i don't know just the the businesses
  6510. 3:32:50that do that that that build something
  6511. 3:32:53or
  6512. 3:32:54solve something
  6513. 3:32:56the fact that it is born and it dies
  6514. 3:32:59um somehow
  6515. 3:33:02uh embeds it with
  6516. 3:33:05fun with joy
  6517. 3:33:06for the people involved i don't know
  6518. 3:33:08what that is
  6519. 3:33:09the finiteness of it it can do some
  6520. 3:33:12people struggle with the you know i mean
  6521. 3:33:14a big
  6522. 3:33:15thing i think
  6523. 3:33:16that one has to learn is is being okay
  6524. 3:33:18with things coming to an end
  6525. 3:33:21and
  6526. 3:33:21uh
  6527. 3:33:23in terms of like some projects and so on
  6528. 3:33:25right people cling on to things beyond
  6529. 3:33:26what they're meant to be doing you know
  6530. 3:33:28beyond what make is reasonable
  6531. 3:33:31and i'm gonna have to come to terms with
  6532. 3:33:33this podcast coming to an end i really
  6533. 3:33:36enjoy talking to you i i think it's
  6534. 3:33:37obvious as we've talked about many times
  6535. 3:33:40you should be doing a podcast you should
  6536. 3:33:42you're already doing
  6537. 3:33:43a lot a lot of stuff publicly to the
  6538. 3:33:46world which is awesome and you're a
  6539. 3:33:47great educator you're a great mind
  6540. 3:33:49you're a great intellect but it's also
  6541. 3:33:50this whole medium of just talking about
  6542. 3:33:52it it's good it's a fun one it's it
  6543. 3:33:54really is good and it's it's just
  6544. 3:33:57it's nothing but like oh it's just so
  6545. 3:33:59much fun
  6546. 3:34:00and you can just get into so many
  6547. 3:34:03yeah there's this space to just explore
  6548. 3:34:05and and see what comes and emerges and
  6549. 3:34:07yeah yeah to understand yourself better
  6550. 3:34:09and if you're talking to others to
  6551. 3:34:10understand them better yeah and together
  6552. 3:34:11with them i mean i you should do your
  6553. 3:34:14you should do your own podcast but you
  6554. 3:34:15should also do a podcast with c as you
  6555. 3:34:17talked about
  6556. 3:34:18the two of you have such
  6557. 3:34:20uh
  6558. 3:34:21different minds that like melt together
  6559. 3:34:24in just hilarious ways fascinating ways
  6560. 3:34:26just uh the tension of ideas there is
  6561. 3:34:29really powerful but in general i think
  6562. 3:34:31you you got a beautiful voice so thank
  6563. 3:34:33you thank you so much for talking today
  6564. 3:34:35thank you for being a friend thank you
  6565. 3:34:36for honoring me with this conversation
  6566. 3:34:39with your valuable time thanks liv thank
  6567. 3:34:41you
  6568. 3:34:42thanks for listening to this
  6569. 3:34:43conversation with little berry to
  6570. 3:34:45support this podcast please check out
  6571. 3:34:46our sponsors in the description
  6572. 3:34:48and now let me leave you with some words
  6573. 3:34:50from richard fineman
  6574. 3:34:52i think it's much more interesting to
  6575. 3:34:54live not knowing than to have answers
  6576. 3:34:57which might be wrong
  6577. 3:34:59i have approximate answers and possible
  6578. 3:35:01beliefs and different degrees of
  6579. 3:35:02uncertainty about different things
  6580. 3:35:05but
  6581. 3:35:05i'm not absolutely sure of anything and
  6582. 3:35:08there are many things i don't know
  6583. 3:35:10anything about such as whether it means
  6584. 3:35:12anything to ask why we're here
  6585. 3:35:15i don't have to know the answer
  6586. 3:35:17i don't feel frightened not knowing
  6587. 3:35:19things by being lost in a mysterious
  6588. 3:35:22universe without any purpose which is
  6589. 3:35:24the way it really is as far as i can
  6590. 3:35:26tell
  6591. 3:35:28thank you for listening and hope to see
  6592. 3:35:30you
  6593. 3:35:30next time
  6594. 3:35:39you

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