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Ex-Google Officer: You Only Have 3 Years Left Before It Hits! - Mo Gawdat — Transcript

by The Diary Of A CEO · 22,849 words · 3,649 segments · language en · Watch on YouTube

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  1. 0:00We have [music] video evidence of people
  2. 0:03abusing children and not a single person
  3. 0:06got arrested. How can you call [music]
  4. 0:07that a democracy? So, humanity is at a
  5. 0:10crossroads where for the first time ever
  6. 0:12[music] we need to wake up and realize
  7. 0:14that we're ruled by maniacs and what we
  8. 0:16believe is democracy is not democracy
  9. 0:18and what we know is not [music] the
  10. 0:19truth. Like companies and governments
  11. 0:22will blame the geopolitical and economic
  12. 0:24[music] challenges we have on AI, but
  13. 0:26the truth is AI is not the enemy. Like
  14. 0:28I'm not worried about AI turning against
  15. 0:30us. I'm [music] worried about humans
  16. 0:32telling AI to turn against us. Like when
  17. 0:35I worked at Google, we were building
  18. 0:36amazing things believing that we were
  19. 0:38making the world a better place and we
  20. 0:40were. [music] But then suddenly there is
  21. 0:42a moment where you recognize that maybe
  22. 0:44the world will not use what you're
  23. 0:46making the way you want it to be used.
  24. 0:48And sadly, this is upon us.
  25. 0:50>> So, I have lots of questions.
  26. 0:52>> Okay, that's good.
  27. 0:53>> So, what's your take on this job
  28. 0:55disruption point? What is the risk of
  29. 0:57these very intelligent models that the
  30. 0:59creators of these models don't actually
  31. 1:00understand themselves? Do you think Sam
  32. 1:01Altman's pro-humanity? How do we get to
  33. 1:03a point of ethical AI when the incentive
  34. 1:05[music] structures are so highly
  35. 1:06competitive? And then I wonder if
  36. 1:08there's a path that ends in AI being net
  37. 1:10positive for humanity.
  38. 1:12>> Somehow we've been pre-programmed
  39. 1:13[music]
  40. 1:13to believe that this is upon us and we
  41. 1:15cannot change it. And I refuse that. So,
  42. 1:18we will talk about the solutions.
  43. 1:19>> But are you optimistic?
  44. 1:21>> I'm very optimistic about the future.
  45. 1:22I'm not optimistic about the next year.
  46. 1:24>> Why the next year?
  47. 1:25>> Come on, Stephen. You don't want me
  48. 1:27[music] to say it.
  49. 1:29So,
  50. 1:32>> This is super interesting to me. My team
  51. 1:33gave me this report to show me how many
  52. 1:35of you that watch this show subscribe
  53. 1:36and some of you have told us, according
  54. 1:38to this, that you are unsubscribed from
  55. 1:40the channel randomly. So, if I were to
  56. 1:41ask all of you, please could you check
  57. 1:43right now if you've hit the subscribe
  58. 1:45button if you are a regular viewer of
  59. 1:46the show and you like what we do here.
  60. 1:47We're approaching quite a significant
  61. 1:49landmark on this show in terms of a
  62. 1:50subscriber number. So, if there was one
  63. 1:52simple free thing that you could do to
  64. 1:54help us, my team, everyone here, to keep
  65. 1:57this show free, to keep it improving
  66. 1:59year over year and week over week, it is
  67. 2:01just to hit that subscribe button and to
  68. 2:02double-check if you've hit it. Only
  69. 2:03thing I'll ever ask of you.
  70. 2:05Do we have a deal?
  71. 2:06If you do it, I'll tell you what I'll
  72. 2:07do. I'll make sure
  73. 2:09every single week, every single month,
  74. 2:10we fight harder and harder and harder
  75. 2:12and harder to bring you the guests and
  76. 2:13conversations that you want to hear.
  77. 2:14I've stayed true to that promise since
  78. 2:16the very beginning of The Diary of a
  79. 2:17CEO, and I will not let you down. Please
  80. 2:20help us. Really appreciate it. Let's get
  81. 2:21on with the show.
  82. 2:23>> [music]
  83. 2:25[singing]
  84. 2:26>> Mo Gawdat,
  85. 2:28I spoke to you, I think, about 4 years
  86. 2:30ago when you wrote a book about
  87. 2:32happiness, and I remember you came in
  88. 2:33and you'd written this book about AI,
  89. 2:34but I particularly wanted to speak about
  90. 2:36the subject of happiness cuz I was
  91. 2:38fascinated by it. What I find
  92. 2:40astonishing is the fact that you were
  93. 2:41talking about AI before anybody was
  94. 2:44really talking about AI. No guest that
  95. 2:46had ever come on my podcast had ever
  96. 2:47mentioned the subject of AI. It just
  97. 2:49wasn't interesting to the world. And
  98. 2:51then this thing called ChatGPT came out,
  99. 2:53and suddenly everybody got to feel it
  100. 2:55for themselves and became fascinated by
  101. 2:57it.
  102. 2:59My first question, and this might be a
  103. 3:00question for people that don't know you,
  104. 3:02is why at that time did you start
  105. 3:04talking about AI before anybody else?
  106. 3:07>> I knew them in the lab. I I joined
  107. 3:09Google in 2007,
  108. 3:13very late 2006.
  109. 3:15And at the time, most people don't know
  110. 3:17that at the time we had reasonably
  111. 3:19established AIs doing our back-end work.
  112. 3:23And 2000 uh eight, we had the cat paper,
  113. 3:26which was published 2009, the first real
  114. 3:29unprompted AI.
  115. 3:31Uh I remember 2016,
  116. 3:34I had that incident where I was, you
  117. 3:36know, observing a project we were
  118. 3:38funding that was about teaching grippers
  119. 3:41how to grip,
  120. 3:43unlike industrial machinery.
  121. 3:46Uh so, to be to be able to grip like a
  122. 3:47human needs a very high level of
  123. 3:49intelligence to to to assess the
  124. 3:52texture, the softness, the positioning,
  125. 3:54and so on, the shape of everything. And
  126. 3:56we were doing that, and it it just blew
  127. 3:59my mind how similar to my kids they
  128. 4:01were. And I think that was my very first
  129. 4:04realization that we were building the
  130. 4:06apex of intelligence. We were genuinely
  131. 4:09handing over the reins of
  132. 4:12superintelligence to another being,
  133. 4:14right? And when you when you get faced
  134. 4:17with that, you start to suddenly realize
  135. 4:19something that we at Google found very
  136. 4:21difficult to realize, which was that
  137. 4:24everyone I knew at Google till then
  138. 4:27uh
  139. 4:28was believing that we were making the
  140. 4:30world a better place, and we were. We
  141. 4:32genuinely were were doing amazing things
  142. 4:34for the world. Uh but then suddenly
  143. 4:36there is a moment where you uh where you
  144. 4:39recognize that
  145. 4:41maybe the world will not use what you're
  146. 4:43making the way you want it to be used.
  147. 4:46And And you can see that in lots of
  148. 4:47technologies, you know, social media
  149. 4:49starts by the claim that it's going to
  150. 4:51get us connected and get us closer, but
  151. 4:53eventually ends up separating us with
  152. 4:55that little screen, you know. Dating
  153. 4:57apps are giving you the promise that
  154. 4:59you're going to find your soulmate, but
  155. 5:00in reality they keep renewing month
  156. 5:02after month. And so tech
  157. 5:04uh
  158. 5:05somehow ends up being more capitalist
  159. 5:08than altruistic. And I think I was I
  160. 5:11wasn't the first in a Bostrom started,
  161. 5:14you know, Geoffrey Hinton completely
  162. 5:15changed his mind. Fei-Fei Li is starting
  163. 5:18to say, you know, this is very serious.
  164. 5:21Everyone now, everyone who's ever had a
  165. 5:23very deep relationship with the machines
  166. 5:25is a bit concerned.
  167. 5:27>> I wonder if there's a path that's hard
  168. 5:29to see now that ends in AI being net
  169. 5:32positive for humanity.
  170. 5:33>> Sure. I bet 100% on that.
  171. 5:36It's that this path is very painful.
  172. 5:40>> This path is very painful.
  173. 5:41>> Yeah, so so the example you need to
  174. 5:42understand is, you know, we discovered
  175. 5:45uh uh, nuclear power.
  176. 5:48And the very first implementation was a
  177. 5:50nuclear bomb, not not nuclear energy,
  178. 5:52right?
  179. 5:53And, uh, and I think that's exactly
  180. 5:56what's happening with AI. Uh, the first
  181. 5:58implementations of AI
  182. 6:00are
  183. 6:01in favor of a few at the expense of the
  184. 6:03majority.
  185. 6:04You know, the the in favor of the
  186. 6:07capitalist to increase productivity and
  187. 6:09reduce costs, uh, but not taking into
  188. 6:12account how that impacts on the general
  189. 6:14public, uh, you know, in favor of the of
  190. 6:17the armies uh, that are now competing
  191. 6:20with autonomous weapons, in favor of the
  192. 6:23surveillance systems that are attempting
  193. 6:26to control everything with more and more
  194. 6:28and more intelligence and more
  195. 6:30monitoring.
  196. 6:31And
  197. 6:32that's not AI waking up in the morning
  198. 6:36and saying, "Hey, you know what? Let's
  199. 6:37oppress all humans."
  200. 6:39But it is a powerful few that are simply
  201. 6:42deciding to use the ultimate superpower
  202. 6:45on the planet today
  203. 6:46to gain more power and more control. I
  204. 6:49mean, as we speak, we're living in two
  205. 6:51major wars where AI is doing most of the
  206. 6:53killing.
  207. 6:54>> Cuz a lot of people think of AI as these
  208. 6:56like chatbots that we're all using to
  209. 6:58help us write.
  210. 6:59>> No, I think I think there is a hype. I
  211. 7:01call it the hype dichotomy, if you want.
  212. 7:04So, so what the general public sees
  213. 7:06about AI is overhyped, but
  214. 7:11ineffective. You know, all of the fake
  215. 7:14videos and all of the, you know, um,
  216. 7:17Grok did this and, you know, we
  217. 7:20attempted to switch off that machine and
  218. 7:22it did that and so on.
  219. 7:24What the real geeks see inside the lab
  220. 7:27is just
  221. 7:28unbelievable intelligence. And so, what
  222. 7:31is about to happen is that we've started
  223. 7:34to put together systems that develop
  224. 7:36themselves. They look at their own code
  225. 7:39and they, you know, they They
  226. 7:40experiments and they test those
  227. 7:41experiments if they changed something
  228. 7:43and they see where the machines are,
  229. 7:45uh you know, the performance is.
  230. 7:47And and redeploy the best code. Okay?
  231. 7:50And And if you just think of that, I
  232. 7:52want you to try and imagine a world
  233. 7:55where we have a tiny little genius
  234. 7:57sitting in the back end somewhere
  235. 7:58trying. But instead of trying a new code
  236. 8:01every day, it's trying a new code every
  237. 8:03microsecond.
  238. 8:04Eventually, sooner or later,
  239. 8:07they discover something, right? And I
  240. 8:09think that's what most people don't
  241. 8:10realize. What most people don't realize
  242. 8:12is how intelligence triggers
  243. 8:14intelligence.
  244. 8:15And And if you really, really understand
  245. 8:17this, you realize that the hype
  246. 8:20uh on the on the on the normal human
  247. 8:22side is completely overrated, uh missing
  248. 8:26the main topics, and the silence
  249. 8:30inside, the vault, if you want, of the
  250. 8:33geeks
  251. 8:35is quite alarming. No, I'm I'm not
  252. 8:38alarming in a bad way, but it's quite
  253. 8:40world-changing.
  254. 8:42>> I think world-changing is a really
  255. 8:43interesting phrase because I feel find
  256. 8:45that to be quite true that the world is
  257. 8:47um at precipice of quite a significant
  258. 8:49change, yeah, in many respects. It's
  259. 8:51funny. I I It's funny. I I almost swing
  260. 8:53backwards and forwards with my
  261. 8:56my thoughts on AI.
  262. 8:58I guess one of the thoughts that hasn't
  263. 9:00swung is that there's going to be pretty
  264. 9:01tremendous job disruption. I would have
  265. 9:03liked logically believed it from like
  266. 9:05reasoning up from okay, intelligence
  267. 9:07increases, what is intelligence, and
  268. 9:10once intelligence um is in the form of
  269. 9:12these agents where I'm on my phone right
  270. 9:13now, I can tell my agent to do
  271. 9:14something. It uses the computer
  272. 9:15downstairs. It does it for me. When the
  273. 9:17When I first experienced that, I was
  274. 9:19like, "Wow. Okay, so it can do anything
  275. 9:21that's on a computer. It can click
  276. 9:22around. It can do stuff for me."
  277. 9:24There's a lot of people that are paid in
  278. 9:25the world to click around on a computer.
  279. 9:27I'm probably one of them, to be honest.
  280. 9:29And then the other eureka moment was
  281. 9:31just in seeing how my own hiring had
  282. 9:34started to shift.
  283. 9:35>> For sure.
  284. 9:36>> And I started to notice that we were we
  285. 9:37were thinking about AI proficiency in
  286. 9:39our hiring a lot more.
  287. 9:41And that especially, you know, don't I
  288. 9:43think the guys at
  289. 9:44Anthropic, which is one of the big AI
  290. 9:46companies, said that they could see, I
  291. 9:49think they said roughly 15% of
  292. 9:51entry-level jobs could now be done by
  293. 9:55AI. I think that's what they said.
  294. 9:57And that started to correlate with what
  295. 9:59I was I was observing.
  296. 10:01And this is when I thought, "Oh my gosh,
  297. 10:03yes, no, this is this is going to be
  298. 10:04cause a lot of job disruption,
  299. 10:06especially at the entry-level level."
  300. 10:08>> I think [clears throat] you're spot on
  301. 10:09with that. Not the not the blue-collar,
  302. 10:11but but the entry-level knowledge work.
  303. 10:14>> Yeah. And that became my
  304. 10:16my first concern.
  305. 10:18You know, I sat here with Dara, the CEO
  306. 10:20of Uber, and he was quite clear that the
  307. 10:229 million Uber riders won't have their
  308. 10:24jobs anymore. What's your take on this
  309. 10:26job disruption point?
  310. 10:28>> No, I I I think you're spot on. I mean,
  311. 10:29your your team gave me this lovely
  312. 10:31little
  313. 10:33pyramid, basically. You know, if you if
  314. 10:35you think of the bottom layer as
  315. 10:37blue-collar jobs, right?
  316. 10:39More people doing manual work.
  317. 10:42>> [clears throat]
  318. 10:42>> On top of it, you'll have those, you
  319. 10:44know, call them knowledge workers,
  320. 10:46mostly doing mundane jobs, like you
  321. 10:48said, clicking on a computer or
  322. 10:50responding to a phone call or whatever.
  323. 10:52Then you have the middle
  324. 10:54knowledge workers, jobs that require a
  325. 10:56bit more intelligence, you know,
  326. 10:58anything from a paralegal to a financial
  327. 11:01analyst to all of that. And then, of
  328. 11:03course, you know, top leadership.
  329. 11:06And and most people think it's going to
  330. 11:09be starting from the bottom. I don't
  331. 11:11think it's all start from the bottom,
  332. 11:12actually. I think blue-collar jobs will
  333. 11:14stay for a very long time, right?
  334. 11:15>> Give me a
  335. 11:16an example of a blue-collar job, someone
  336. 11:17that's
  337. 11:17>> Um a carpenter. Okay? You know, I you
  338. 11:19know, I love to restore classic cars.
  339. 11:21So, you know, there isn't a robot that
  340. 11:23can do that yet. Okay? This, however,
  341. 11:26you know, any anything that is
  342. 11:29call center agent,
  343. 11:30assistant, travel agent, you know,
  344. 11:33anything that you can do with a few
  345. 11:34clicks and is mundane,
  346. 11:36uh is going to disappear very quickly.
  347. 11:38My my prediction is you're going to
  348. 11:40start to see very serious impact in
  349. 11:422027. Now, what you had had not sensed
  350. 11:46it before because
  351. 11:49what we saw was no hiring in that
  352. 11:51segment. It's So So that what you saw in
  353. 11:53the last couple of years is that
  354. 11:55companies were not hiring entry-level
  355. 11:57jobs anymore. It wasn't job losses yet,
  356. 12:00but that basically meant the workforce
  357. 12:02was not grow, right? The next layer I
  358. 12:04think would probably be the knowledge
  359. 12:06workers. As as intelligence increases, a
  360. 12:10paralegal would probably not be needed
  361. 12:12because AI can do the research or one
  362. 12:14paralegal can do the job of four. You
  363. 12:16know, a financial analyst is same and so
  364. 12:18on and so forth. But interestingly, it
  365. 12:20continues to go up, believe it or not.
  366. 12:22And I you know, I hosted Max Tegmark on
  367. 12:25my on my documentary and and he was
  368. 12:28laughing out loud, genuinely laughing
  369. 12:30out loud saying, you know, most of the
  370. 12:32CEOs believe that they can fire everyone
  371. 12:34and have AI do all of the jobs. They
  372. 12:37just don't remember that AGI is going to
  373. 12:39do everything better than humans
  374. 12:41eventually, including being a CEO.
  375. 12:43>> So let's first define when you say
  376. 12:44white-collar.
  377. 12:45>> Mhm.
  378. 12:46>> You You said lawyers there. What kind of
  379. 12:48roles are
  380. 12:48>> I mean every everything. I mean, if you
  381. 12:50if you're a doctor that's doing
  382. 12:52diagnosis, you you probably will have
  383. 12:55fewer doctors doing uh more diagnosis
  384. 12:58because I think the NHS does that that
  385. 13:00already by asking interacting with an AI
  386. 13:03first, you know. If you're a a composer,
  387. 13:05a music composer, some composers will
  388. 13:07lose their jobs because of that. If
  389. 13:09you're an artist that's doing graphic
  390. 13:10design, some will lose their jobs
  391. 13:12because
  392. 13:13AI comes into that. And and
  393. 13:15interestingly, even middle management. I
  394. 13:17mean, I I told you offline about my my
  395. 13:20startup. I my CTO is an AI, my you know,
  396. 13:23chief of staff is an AGI, my project
  397. 13:26management is AIs.
  398. 13:28Again, because I'm a geek, I can do
  399. 13:30those things, but that interface will
  400. 13:32come to the normal people very soon,
  401. 13:34right? And and so this
  402. 13:36may take two to three five years, if you
  403. 13:38want, until 2030, if you if you if
  404. 13:41you're optimistic. And uh but but it
  405. 13:43they'll start to erode, okay? I think
  406. 13:46the challenge that most people don't
  407. 13:47understand is as this erodes and as this
  408. 13:49erodes, we're already dealing with a
  409. 13:51very different economy. Okay? An economy
  410. 13:54that is spiraling a lot quicker uh and
  411. 13:58pushing more for more
  412. 14:00cost reductions. I mean, the let let me
  413. 14:03ask you this, if if you don't mind and
  414. 14:05we can come back to this.
  415. 14:07Imagine a world where the concept of
  416. 14:09labor arbitrage that built all of our
  417. 14:11capitalist success disappears.
  418. 14:14>> What do you mean by labor arbitrage?
  419. 14:16>> So capitalism has always been all about
  420. 14:19using labor
  421. 14:20>> Mhm.
  422. 14:21>> [clears throat]
  423. 14:21>> and capital or debt
  424. 14:23>> Mhm.
  425. 14:24>> to create things at a cost that is lower
  426. 14:27than the than the price you sell them
  427. 14:28for. Correct?
  428. 14:30>> Mhm.
  429. 14:30>> That's it.
  430. 14:31>> Mhm.
  431. 14:31>> Uh you bring a team together, they make
  432. 14:33some shoes, whatever, and you sell the
  433. 14:35shoes for a dollar more than it how much
  434. 14:37it costs you to make them.
  435. 14:39So how would capitalism look like if you
  436. 14:43don't have labor arbitrage? If if cost
  437. 14:46of labor drops to
  438. 14:48an investment in a machine that can do
  439. 14:50the job.
  440. 14:51Okay?
  441. 14:52Uh how would capitalism and banking look
  442. 14:57if because of that cost reduction, you
  443. 14:59don't need to borrow as much anymore?
  444. 15:02And more interestingly how does the GDP
  445. 15:04look if all of those workers no longer
  446. 15:08have the purchasing power to to buy the
  447. 15:10things that you can uh create you and
  448. 15:12and others?
  449. 15:14Right? There is an interesting
  450. 15:16disruption that doesn't require us to
  451. 15:18get to 100% job displacement. You know,
  452. 15:21at 10, 20% job displacement, you're in a
  453. 15:24very different economy. An economy that
  454. 15:27is clearly spiraling downwards, don't
  455. 15:29you think?
  456. 15:30>> Yeah, I I wonder with when costs drop, I
  457. 15:33think
  458. 15:34one of the things that might happen as
  459. 15:35well is that people will spend more on
  460. 15:37other things. Cuz I was thinking in my
  461. 15:39business, one of the observations I've
  462. 15:40had is if I make a cost saving, I end up
  463. 15:43spending the money on something else.
  464. 15:45>> Mhm.
  465. 15:46>> Now, that thing could be tokens.
  466. 15:47Basically, spending money on
  467. 15:49>> Computers, yeah.
  468. 15:49>> com- you know, AI.
  469. 15:51But but it also could be hiring in
  470. 15:52different areas.
  471. 15:54>> Which are?
  472. 15:56>> Software engineers are like hot property
  473. 15:58right now.
  474. 15:59>> You you have to imagine all of that
  475. 16:01intelligence is sooner or later going to
  476. 16:04be
  477. 16:05not replaced entirely in the first
  478. 16:08stages, but
  479. 16:10if you know, the job of four assistants
  480. 16:13is going to be done by one, then the
  481. 16:14four the job of four paralegals can be
  482. 16:16done by one, then the job of a massive
  483. 16:19marketing team can be done by, you know,
  484. 16:21a smaller marketing team. It's not that
  485. 16:24jobs will end first, it's that, you
  486. 16:27know, productivity gains will make
  487. 16:30businesses not want to to have as many
  488. 16:33people, costly humans, you know, costly
  489. 16:36emotional humans, when when the job can
  490. 16:38be predictably done for cheaper.
  491. 16:40>> And then what about this this this
  492. 16:42bottom layer here? The there was this
  493. 16:44video released by Figure AI the other
  494. 16:46day where they showed someone on
  495. 16:48well, a robot on the production line for
  496. 16:508 hours just sorting packages. Did you
  497. 16:52see this video?
  498. 16:53>> Mhm.
  499. 16:54>> At one point they showed a human
  500. 16:56sorting the packages alongside them, but
  501. 16:58the robot ended up winning out. And
  502. 16:59okay, this is a very straightforward
  503. 17:01task. All it's doing here is it's
  504. 17:03looking for where the label is on the
  505. 17:04package and making sure the label is
  506. 17:06facing downwards.
  507. 17:07>> Yeah.
  508. 17:08>> Um on all the packages. So, it's
  509. 17:09looking, it's um sorting the packages,
  510. 17:11putting the label facing down, and it
  511. 17:13did this for 8 days.
  512. 17:15>> Yeah.
  513. 17:15>> Uh it's intermittently, it would walk
  514. 17:17over and charge itself, and then it
  515. 17:18would come back
  516. 17:19>> Yeah. to the production line.
  517. 17:20>> Yeah.
  518. 17:21>> But when I when I saw this as well, it
  519. 17:22was a a glimpse of some of the
  520. 17:24disruption that's going to take place at
  521. 17:25the blue-collar level as well, because
  522. 17:27if you think about Elon Musk, he's got
  523. 17:28um in his pay packet, he gets something
  524. 17:31like a trillion dollars
  525. 17:33over the coming years
  526. 17:34if he produces and delivers at least a
  527. 17:37million humanoid robots into the world.
  528. 17:39But his prediction is there will be a
  529. 17:41time
  530. 17:42where there are 10 billion humanoid
  531. 17:44robots where there are more humanoid
  532. 17:46robots in the world than there are
  533. 17:47humans.
  534. 17:48>> For a fact. You see, the interesting,
  535. 17:51again, the difference between the
  536. 17:52over-hype and the under-hype, huh? Most
  537. 17:54of the conversation is around humanoids.
  538. 17:57Nobody's talking about self-driving
  539. 17:58cars. And a self-driving car is a robot.
  540. 18:01It's a functional robot that doesn't
  541. 18:03look like humans, okay? The investment
  542. 18:06you have to put into humanoids is a
  543. 18:08little more to to learn skills that
  544. 18:11allows that machine to fit into the
  545. 18:12world. But specialized robots are going
  546. 18:15to do the job very, very quickly, hm?
  547. 18:17And and so you can easily see that the
  548. 18:20first wave, like you had the
  549. 18:22conversation with Uber CEO, is going to
  550. 18:25be
  551. 18:26specialized robots replacing drivers,
  552. 18:29hm?
  553. 18:29Uh
  554. 18:30>> [clears throat]
  555. 18:30>> it's going to be specialized robots, um
  556. 18:33unfortunately, doing the killing. Uh
  557. 18:35it's going to be specialized robots,
  558. 18:37unfortunately, doing all of the, you
  559. 18:39know, intelligence work, hm?
  560. 18:41Uh uh law enforcement work. Uh they
  561. 18:44don't have to look like a human. They
  562. 18:46don't have to behave like a human. As a
  563. 18:48matter of fact, you know, the uh Boston
  564. 18:51Dynamics dog is probably more efficient
  565. 18:53than a humanoid at doing the job that
  566. 18:55you can assign to it in a battlefield,
  567. 18:57right? Now, those basically mean that
  568. 19:01jobs will be disappearing to robots
  569. 19:03before we recognize that they're being
  570. 19:05dis- that they're disappearing for to
  571. 19:06robots. And those robots will be as many
  572. 19:09as every car being made today.
  573. 19:11>> I mean, they are If you get to LA, my
  574. 19:13car drives itself, but also there's just
  575. 19:14Waymos everywhere. So
  576. 19:15>> Absolutely. And BYD just the other day
  577. 19:18just announced that they will pay for
  578. 19:20the liability of any accident their cars
  579. 19:22will make.
  580. 19:23>> And BYD is the big Chinese manufacturer
  581. 19:24of auto autonomous vehicles.
  582. 19:27>> So so this this I think replacement
  583. 19:28cycle will happen. It will require a lot
  584. 19:31of of time to achieve economies of
  585. 19:35scale, but I don't think
  586. 19:37Elon Musk is off the mark when he talks
  587. 19:39about 10 billion robots. Not all of them
  588. 19:42are going to look like humanoids. And I
  589. 19:43think very quickly we will recognize
  590. 19:45that many many robots don't need to be
  591. 19:47humanoids at all, that there is a a much
  592. 19:49more efficient
  593. 19:51form factor or shape, physical shape if
  594. 19:53you want, than the human flimsy
  595. 19:56structure. But yes, it's uh
  596. 19:59it's about to happen. I I think I should
  597. 20:00qualify all of this by saying it it does
  598. 20:03not necessarily need to happen. So so,
  599. 20:06you know, people will will hear all of
  600. 20:08all of this and and blame AI and say AI
  601. 20:11is evil. AI is not. Abundant
  602. 20:13intelligence is wonderful, you know,
  603. 20:15having jobs done by machines is amazing
  604. 20:19for us.
  605. 20:19>> I'm thinking about the kid that's like,
  606. 20:21I don't know, leaving university now and
  607. 20:22they've got a
  608. 20:24a degree in law or I don't know, you
  609. 20:27talked about a few other white-collar
  610. 20:28jobs earlier like graphic design or
  611. 20:30maybe they did sociology. Yeah. Or maybe
  612. 20:33they did, I don't know, business
  613. 20:35management like I I did for a one day in
  614. 20:37university. You know, you're hearing
  615. 20:39about all these like
  616. 20:40coming from big tech companies and and
  617. 20:43it seems that the CEOs of these
  618. 20:44companies are announcing these layoffs
  619. 20:45with a certain amount of it seems like I
  620. 20:48wouldn't say the word is joy, but it's
  621. 20:49it's they are very keen to explain that
  622. 20:53they're laying off lots of people
  623. 20:54because if they are
  624. 20:56And I think they think that that gives
  625. 20:58them a certain amount of respect,
  626. 21:00probably from investors, for being
  627. 21:03making hard decisions and being
  628. 21:05efficient with how they're running their
  629. 21:06businesses. Investors look at them and
  630. 21:08think, well, if that's an inefficient
  631. 21:09business and they're leaning into AI,
  632. 21:11then that's a good investment. It's
  633. 21:13almost started a bit of a
  634. 21:14self-fulfilling prophecy where if you're
  635. 21:16the only CEO not laying off loads of
  636. 21:18people because of AI, you actually look
  637. 21:20bad. The assumption is your company is
  638. 21:21bloated and you're a bad operator.
  639. 21:25Um so, one of my concerns that I I think
  640. 21:27is highly plausible is that over the
  641. 21:28next 5
  642. 21:30maybe 10 years
  643. 21:32we're going to really see a lot of
  644. 21:33unemployment as the world has to kind of
  645. 21:35readjust to whatever these new jobs are.
  646. 21:37I do think there will be new jobs.
  647. 21:40It's hard in foresight to predict what
  648. 21:42those new jobs will look like.
  649. 21:44And then the minute you start talking
  650. 21:45about humanoid robots and robotics,
  651. 21:47which I think is basically going to hit
  652. 21:49society like a
  653. 21:51comet, like a meteor. I think the the
  654. 21:53first humanoid robot from Tesla or
  655. 21:55anyone else
  656. 21:56that is highly effective in the real
  657. 21:58world at doing tasks and is extremely
  658. 22:01intelligent cuz it's powered by one of
  659. 22:03these LLMs,
  660. 22:04um I think it's going to shock people.
  661. 22:07And I think it's going to happen
  662. 22:08quickly. Like ChatGPT happened quickly.
  663. 22:10I think Elon or something is going to do
  664. 22:11a presentation someday and say, "We're
  665. 22:13ready."
  666. 22:14>> 100%.
  667. 22:14>> And you can buy one now for $500 a
  668. 22:16month.
  669. 22:17>> 100%.
  670. 22:19>> And then people are going to get them
  671. 22:20and I think it's going to shock the
  672. 22:21world. Um but until humanoid robots
  673. 22:23arrive, I think there's still going to
  674. 22:24be a lot of job disruption to the
  675. 22:25white-collar layer. And I wonder what
  676. 22:27that looks like for society when we get
  677. 22:29to, I don't know, 10%, 15% unemployment
  678. 22:32theoretically, which I think is
  679. 22:34plausible.
  680. 22:35>> Very soon.
  681. 22:35>> Yeah.
  682. 22:36>> You're not very different. Okay? You're
  683. 22:38You're just on top of a baseline that is
  684. 22:40continuing to grow. So, your your
  685. 22:42business is growing, so you continue to
  686. 22:44hire, but you are replacing human
  687. 22:48resources with compute. Okay? If you If
  688. 22:51AI didn't exist, you would have probably
  689. 22:52had 800 people more in your organization
  690. 22:55today, right? You You now have 100
  691. 22:58people less and, you know, a billion
  692. 23:00tokens more.
  693. 23:01>> Yeah, so for anyone that doesn't know
  694. 23:02tokens are basically the thing that you
  695. 23:05you use it's the currency of AI.
  696. 23:07>> Yeah.
  697. 23:07>> So so if you if you want to get that
  698. 23:09task done by a human, you you count in
  699. 23:12sort of like man-hour or or or worker
  700. 23:15hour employee hour. In AI you count by
  701. 23:17compute, you count by tokens, right? And
  702. 23:20and so
  703. 23:21the trick is those major tech companies,
  704. 23:25they have two sides. One is they are
  705. 23:27they need to replace workers with
  706. 23:30compute even more because there is a
  707. 23:32competitive side on compute where if any
  708. 23:35of them is left behind, that means the
  709. 23:37destruction of the entire business. But
  710. 23:39on the upside, they are geeks, so they
  711. 23:42they know how to build the interfaces to
  712. 23:44compute, so they integrate technology
  713. 23:47within their organizations quicker than
  714. 23:49the average traditional business, right?
  715. 23:52Non- non-technology business, if you
  716. 23:54want. You can look at them and say this
  717. 23:57is the preview. It's not about all of
  718. 23:59humanity losing their jobs, it's about
  719. 24:01what is the dividing line before civil
  720. 24:04war.
  721. 24:04Right? You know, think about a situation
  722. 24:07where 20% unemployment is happening when
  723. 24:10economies are suffering
  724. 24:12in inflation.
  725. 24:14I say that not to be a scaremonger, I
  726. 24:16say that because I genuinely believe
  727. 24:18governments need to wake up. Okay?
  728. 24:20Government needs to at least play you
  729. 24:22know, remember the COVID years where
  730. 24:24governments had to give furlough
  731. 24:25everywhere, hm? And ask people to stay
  732. 24:28home. If people stay home, governments
  733. 24:30have to be prepared to to somehow
  734. 24:33sustain those people until reskilling
  735. 24:35happens or until we find a solution so
  736. 24:38that those people don't feel uh
  737. 24:41that they're left behind.
  738. 24:44>> A civil war.
  739. 24:45>> Unrest, let's call it.
  740. 24:46>> Civil unrest.
  741. 24:47>> Yeah.
  742. 24:48>> What does that end up looking like? Cuz
  743. 24:49on one end, you know, the democ-
  744. 24:51democratic process plays its role and we
  745. 24:53just elect someone else.
  746. 24:55>> Does it really? Don't say that.
  747. 24:57>> I don't know, you tell me.
  748. 24:59>> Oh, no, no, no, no, no. I I I think
  749. 25:01democracy has ended a long time ago,
  750. 25:04Stephen. I think
  751. 25:05I think we live in the most corrupt
  752. 25:07time.
  753. 25:08I don't know about history, to be
  754. 25:10honest, but this is definitely corrupt.
  755. 25:13Okay?
  756. 25:13This definitely is not democracy. This
  757. 25:15definitely is not even congressional in
  758. 25:17any possible way. This and people are
  759. 25:20angry.
  760. 25:21You know, people are angry because their
  761. 25:23tax money is going to things that they
  762. 25:25don't choose to,
  763. 25:28you know, that they don't benefit them,
  764. 25:30that you know, lots of regulations in
  765. 25:33the system are being ignored. I mean,
  766. 25:36I'm you know, I I I choose not to speak
  767. 25:39about politics perhaps until my next
  768. 25:41book comes out, but
  769. 25:43but look, we have video evidence of
  770. 25:47people abusing children and not a single
  771. 25:50person got arrested. Not a single
  772. 25:53person. I mean, how can you call that a
  773. 25:55democracy? I I I think repeating those
  774. 25:57slogans is going to
  775. 25:59is going to anger people even more if
  776. 26:01you ask me. People know that they're
  777. 26:03being lied to. People know that their
  778. 26:06their leaders are not representing their
  779. 26:08best interest. People know that their
  780. 26:10money is going to causes that they don't
  781. 26:12really approve of. Uh and and ask me how
  782. 26:15civil unrest looks like. I I don't know
  783. 26:19and I'm not calling for it, but I'm
  784. 26:21hopefully calling for the politicians to
  785. 26:23start to become aware that this is
  786. 26:25crossing the lines everywhere.
  787. 26:27>> Uh on this point, Sam Altman, who is the
  788. 26:30founder of Open AI,
  789. 26:32he's been banging the AI's coming for
  790. 26:34your job drum for more than a decade
  791. 26:37now. In 2015, he pointed out, "My job is
  792. 26:40to help people destroy jobs."
  793. 26:43Um something he lamented at the time,
  794. 26:45but decided he'd do anyway.
  795. 26:47>> One of the things that I struggle with,
  796. 26:48like getting out of the bed every
  797. 26:49morning, is that like my job is to help
  798. 26:51people destroy jobs. The job destruction
  799. 26:54that we're going to see by software in
  800. 26:56the next couple of decades, I don't
  801. 26:58think anyone's prepared for and you
  802. 26:59can't talk about it.
  803. 27:00>> And in 2023, Altman said in an
  804. 27:02interview, "A lot of people working on
  805. 27:04AI pretend that it's only going to be
  806. 27:06good. It's only going to be a
  807. 27:08supplement. No one is ever going to be
  808. 27:10replaced. Jobs are definitely
  809. 27:13going to go away, full stop.
  810. 27:16Interestingly this month,
  811. 27:18he said, "I don't think we're going to
  812. 27:21have the kind of jobs apocalypse that
  813. 27:23some of the companies in our space
  814. 27:25advocate or talk about. I'm delighted to
  815. 27:27be wrong about this. On white collar
  816. 27:29jobs in 2021 to through 2024, he said,
  817. 27:32'AI will probably replace most of the
  818. 27:34jobs people do today. Entire job
  819. 27:36categories will be totally totally
  820. 27:38gone.'
  821. 27:39In May, this month, 2 years later, he
  822. 27:41said, 'I thought there would be more
  823. 27:43impact on entry-level white collar jobs
  824. 27:45being eliminated by now
  825. 27:47than has actually happened.
  826. 27:49This is an area where my intuitions were
  827. 27:51just off.'
  828. 27:52>> What I find uncomfortable is the
  829. 27:53bouncing backwards and forwards.
  830. 27:55And I don't really know what is true
  831. 27:57because couple of years ago you were
  832. 27:58telling us all the jobs are going to go
  833. 27:59away. You said categorically.
  834. 28:02Um you said literally said full stop.
  835. 28:05And now he's saying they're not going
  836. 28:06away.
  837. 28:07And I just don't, you know, when
  838. 28:08someone's like changing form factor,
  839. 28:10it's hard to understand why they're
  840. 28:12doing it. And I think my suspicion is
  841. 28:16back then, the incentive
  842. 28:19was to get people to take AI seriously.
  843. 28:21>> Mhm.
  844. 28:23>> Congratulations, [clears throat] we took
  845. 28:24it seriously. We took it so seriously in
  846. 28:27fact that it's now a problem. It's a
  847. 28:28problem for these companies because
  848. 28:30people are now booing at commencement
  849. 28:31speeches, they're attacking data
  850. 28:33centers, they're going to elect people
  851. 28:35that are theoretically anti-AI. And now
  852. 28:38there's this inversion where like, "No,
  853. 28:39it's going to be fine."
  854. 28:40>> Yeah.
  855. 28:41I don't know.
  856. 28:42>> What? I mean you're you're you're spot
  857. 28:44on.
  858. 28:45Uh fir- first of all, I mean
  859. 28:47Sam's entire existence if you ask me
  860. 28:50starting with open AI that is about
  861. 28:54that's supposed to save the world
  862. 28:56by creating a safe AI then be making it
  863. 28:59a commercial enterprise that's worth
  864. 29:01billions and you know
  865. 29:03backstabbing [clears throat] a few
  866. 29:04people in the process and you know I I
  867. 29:06have him on on chasing Utopia
  868. 29:09saying
  869. 29:11I quote this is exactly the words he
  870. 29:13said you can find it online.
  871. 29:14>> Chasing Utopia is your documentary.
  872. 29:16>> Yes, so so so he he basically says well
  873. 29:20I don't suspect that I suspect that AI
  874. 29:24is likely going to end humanity but
  875. 29:26we're going to create a lot of
  876. 29:27interesting companies in the process
  877. 29:29right? I mean those kinds of statements
  878. 29:32are
  879. 29:33honestly not the statements of someone
  880. 29:35who's not decided. It's just the
  881. 29:37statements of someone who's being taught
  882. 29:40more and more by his PR agency or PR
  883. 29:43manager to say things as per the script.
  884. 29:47Right? And the script as you rightly
  885. 29:49said had an objective and a target
  886. 29:51either way.
  887. 29:53You know and Sam Altman I you know in
  888. 29:55one of my works I used to say that
  889. 29:57Altman is a brand it's not a name. Okay?
  890. 30:00If you if you if it wasn't for Sam
  891. 30:02Altman specifically there would have
  892. 30:04been another you know Silicon Valley
  893. 30:05disruptor that would have done the same.
  894. 30:07I don't blame him for beating the market
  895. 30:09for it. The the interesting challenge
  896. 30:11here is that who do we believe anymore?
  897. 30:15Who do we believe in technology? Who do
  898. 30:17we believe in politics? Who do we
  899. 30:20believe in the middle of a war? And I
  900. 30:22will tell you interestingly I started to
  901. 30:24change my mindset in terms of believing
  902. 30:26those who put their actions where their
  903. 30:28words are. So Anthropic coming out and
  904. 30:30saying I'm not going to allow my model
  905. 30:32to be used for human targeting and
  906. 30:35surveillance. Right? That's someone
  907. 30:37that's losing a $500 million deal
  908. 30:39because they stand by their ethics. The
  909. 30:41next week or the next I don't know a
  910. 30:43couple of weeks Open AI takes the
  911. 30:44contract. That's someone that's
  912. 30:46basically telling you
  913. 30:48it's good money, right? And and I I have
  914. 30:50to say you have to start observing who's
  915. 30:53actually behaving in a way
  916. 30:56uh that is making AI work for humanity
  917. 30:58and who is behaving in a way that is
  918. 31:01making AI work for their share values.
  919. 31:04>> Yeah, I do have to say when Dario and
  920. 31:06the team at Anthropic did that, I did
  921. 31:09have a huge amount of respect for them.
  922. 31:11Generally [clears throat] because it
  923. 31:11just shows that there's some kind of
  924. 31:12like they've got their own sort of moral
  925. 31:14ethical boundaries
  926. 31:15and that that someone asked me on stage
  927. 31:18many years ago, how do you know if
  928. 31:20someone's values or a company's values
  929. 31:23are true? And I said um look at what
  930. 31:27they're willing to sacrifice in the near
  931. 31:28term. That's against their their
  932. 31:30incentives.
  933. 31:31>> Correct.
  934. 31:32>> That for me is the essence of like
  935. 31:33understanding if someone has integrity
  936. 31:35or has is principled is they will give
  937. 31:37up something in the near term for what
  938. 31:39they believe in over the long term. It's
  939. 31:41usually money if you know,
  940. 31:43>> Or or some kind of benefit of any of any
  941. 31:45sort. I mean so there is something that
  942. 31:48you you needed to have worked on the
  943. 31:50inside of Google like me to to realize.
  944. 31:53There are prisoners dilemmas within
  945. 31:55technology where you cannot escape the
  946. 31:58influence of either a competitor or the
  947. 32:01government, right? There are sometimes
  948. 32:03where you know, the NSA is going to push
  949. 32:06Google to say give me this information
  950. 32:08or otherwise I'm going to really destroy
  951. 32:10your business, right? But there is a
  952. 32:12very big difference between a company
  953. 32:14that willingly does this and celebrates
  954. 32:17it like a Palantir or an Open AI or a
  955. 32:20company that tries to resist it until
  956. 32:22the point where it becomes impossible to
  957. 32:24continue to do business.
  958. 32:25And and you have to question
  959. 32:29from the actions of of the tech bros,
  960. 32:32who is pro-humanity and who isn't? And
  961. 32:35it's not very difficult to see that from
  962. 32:37their statements.
  963. 32:38>> Hm. Do you think Sam Altman is
  964. 32:40pro-humanity?
  965. 32:41>> I I genuinely have never made up my
  966. 32:44mind, honestly, Steve. I say that with
  967. 32:48I Yeah, I I'm I'm either thinking he is
  968. 32:50too This is too big for him.
  969. 32:53And he he just is driven by how
  970. 32:57you know, he found himself in the middle
  971. 32:59of this, you know, anyone who finds
  972. 33:01himself in the
  973. 33:02in the middle of an opportunity to
  974. 33:04completely flip the world upside down.
  975. 33:07Or
  976. 33:08he's not pro-humanity. I don't know.
  977. 33:11I I definitely think he's pro-OpenAI
  978. 33:13before he's pro-humanity, but that's
  979. 33:15only the way I see it. Others, however,
  980. 33:17say it publicly. You know, if you look
  981. 33:19at Palantir's Alex Karp or or or
  982. 33:23or Peter Thiel,
  983. 33:25I mean, Peter, again, in in the film is
  984. 33:27is shown when he's in that interview
  985. 33:30where they say or the interviewer asks
  986. 33:32him, "But you're in favor in the You're
  987. 33:35You're in favor of the continuation of
  988. 33:36humanity." And he pauses for like
  989. 33:38>> Peter Thiel does?
  990. 33:39>> Yeah, for like 40 seconds, like, um n-
  991. 33:42I'm not not sure, you know.
  992. 33:45I mean, publicly says that.
  993. 33:48>> Crazy thing to say.
  994. 33:49>> That's a crazy, you know, pause there,
  995. 33:52you know. Alex Karp celebrating how, you
  996. 33:55know, his technology is able to target
  997. 33:57people. I know it's foolish of me to
  998. 34:00start bringing all of this up, but you
  999. 34:02know, this is public on the open
  1000. 34:04internet and somehow
  1001. 34:07um we entrust those people with the
  1002. 34:10future of humanity. This is wrong.
  1003. 34:13>> I'm just trying to [snorts] imagine a
  1004. 34:14future where
  1005. 34:15everything is just fine from here on
  1006. 34:17out. So, what would that future look
  1007. 34:19like? It would look like these models
  1008. 34:20continue to become a little bit more
  1009. 34:22intelligent, but they never become that
  1010. 34:23much more intelligent for whatever
  1011. 34:24reason.
  1012. 34:26Hm. They just kind of stay where they
  1013. 34:27are now. They stay
  1014. 34:29contained within chatbots. And yeah, we
  1015. 34:31have some smart robots, but nothing else
  1016. 34:34really changes in a profound way. Cars
  1017. 34:36drive themselves, fine. Planes
  1018. 34:38[laughter] fly themselves, fine. But
  1019. 34:39people, they they have time to go and do
  1020. 34:41other types of white-collar jobs cuz
  1021. 34:43there's there's a little bit more time
  1022. 34:45than we expected, and society goes
  1023. 34:47through this sort of soft transition
  1024. 34:48towards this new world.
  1025. 34:50>> I I would love to see that. I don't
  1026. 34:52think it's mathematically plausible, to
  1027. 34:54be honest. The The arms race, especially
  1028. 34:56across nations, is going to drive us to
  1029. 34:59continue to develop AI more and more.
  1030. 35:01But allow me to consult with you on a
  1031. 35:04another possible scenario, right?
  1032. 35:07Everyone that deploys that develops an
  1033. 35:09incredibly intelligent AI would develop
  1034. 35:12it would deploy it.
  1035. 35:13>> Yeah.
  1036. 35:14>> Correct? So, it's unlikely that anyone
  1037. 35:17uh would find a way to
  1038. 35:19uh
  1039. 35:20you know, build a better um
  1040. 35:22decision-maker in war gaming and not
  1041. 35:24deploy it, okay?
  1042. 35:26That prisoner's dilemma, if you want,
  1043. 35:29would mean that their competitors
  1044. 35:32would either have to deploy a similar
  1045. 35:34similarly intelligent AI, or they'll
  1046. 35:37become irrelevant, uh uncompetitive.
  1047. 35:40Correct? So, what that means is
  1048. 35:43in that world, we end up with AI making
  1049. 35:46most of the decisions.
  1050. 35:48Superintelligent AIs making most of the
  1051. 35:51the decisions.
  1052. 35:52Which Would you agree? This is a very
  1053. 35:54simple prisoner's dilemma. If you If you
  1054. 35:56If we're competing for for intelligence
  1055. 35:58supremacy, by definition, when we
  1056. 36:01achieve it, we deploy it.
  1057. 36:02>> Yeah.
  1058. 36:03>> Okay.
  1059. 36:04I call that the fourth inevitable. Now,
  1060. 36:06with with with that in mind, there must
  1061. 36:09be a moment in the future, near or far,
  1062. 36:12where every important decision is made
  1063. 36:15by an AI.
  1064. 36:15>> Yeah.
  1065. 36:17>> Now, here's the question. Most of my
  1066. 36:19dearest colleagues, I mean, when I when
  1067. 36:21I had uh Geoffrey Hinton on on the film,
  1068. 36:24he openly says, "We are um
  1069. 36:27you know,
  1070. 36:28he we didn't calculate well that there
  1071. 36:30is a 10 to 20% possibility that those
  1072. 36:33machines
  1073. 36:34are going to wipe us out, right?
  1074. 36:36And I and I I remember I we didn't put
  1075. 36:38it in the film but I said 10 to 20 to
  1076. 36:4020% is Russian roulette, right? That's
  1077. 36:42actually 16% is Russian roulette, right?
  1078. 36:45Now,
  1079. 36:47in that world, however, I believe that's
  1080. 36:49humanity's salvation. Because if you
  1081. 36:50look at every problem we have today,
  1082. 36:53it's not because of abundant
  1083. 36:55intelligence. It's because of lack of
  1084. 36:57intelligence. I think I think the way
  1085. 36:59you look at it,
  1086. 37:00if you allow me, Steve, is that if you
  1087. 37:02have no intelligence at all, hm? You
  1088. 37:05have
  1089. 37:05no to slightly negative impact on the
  1090. 37:08world, right? If your intelligence is
  1091. 37:10limited. The more intelligent you
  1092. 37:12become, the more you contribute
  1093. 37:13positively to the world.
  1094. 37:16Until a moment where you're so
  1095. 37:18intelligent to become the president of
  1096. 37:20the United States,
  1097. 37:21right? But so misled
  1098. 37:25to maybe set your targets wrong or to
  1099. 37:29refuse or or to so so set your target
  1100. 37:31wrongs wrong and achieve them, hm?
  1101. 37:33[clears throat] You know, disconnected
  1102. 37:35from the overall long-term benefit of
  1103. 37:38your nation or your human nation, if you
  1104. 37:40want, that you start to make decisions
  1105. 37:43that are not intelligent at all.
  1106. 37:44Mhm, okay? [clears throat]
  1107. 37:46This doesn't last because if you go
  1108. 37:48beyond that into higher levels of
  1109. 37:50intelligence, most of the super
  1110. 37:52intelligent people that you ever worked
  1111. 37:54with
  1112. 37:55will not need to break any rules or hurt
  1113. 37:58anyone to become successful.
  1114. 38:01Right? I I usually cite uh Larry Page
  1115. 38:03who is in my mind one of the most
  1116. 38:06intelligent people I've ever interacted
  1117. 38:08with. And Larry used to call it the
  1118. 38:10toothbrush test. He says, "Why would you
  1119. 38:12need to compete on another photo sharing
  1120. 38:14app when if you find a major problem and
  1121. 38:17solve it really well, like a toothbrush,
  1122. 38:19so people use you quite a you know,
  1123. 38:21twice a day,
  1124. 38:24you're bound to make a lot of money. You
  1125. 38:25don't have to compete with anyone. If
  1126. 38:27you let me be optimistic about this, hm?
  1127. 38:30We're assuming that there is a moment in
  1128. 38:32the future where AI is in charge of all
  1129. 38:34the decisions and accordingly stupid
  1130. 38:36leaders are not. Okay? Now, when and Sam
  1131. 38:39Altman himself said that, you know, what
  1132. 38:41if uh chat GPT-7, if I remember his his
  1133. 38:45quote quote on this, what if chat GPT-7
  1134. 38:48is so much more intelligent than I am,
  1135. 38:50Sam, in that case, that it has to become
  1136. 38:52the CEO of of open AI? What if the next
  1137. 38:55presidential election there is an AI
  1138. 38:58that is so much more intelligent that at
  1139. 39:00least the president has to consult with
  1140. 39:01it constantly, right? Now, if we assume
  1141. 39:04that, hm?
  1142. 39:06Let's [snorts] start from physics, if
  1143. 39:07you don't mind me saying. Um not not too
  1144. 39:09complex, but if if you assume that our
  1145. 39:11entire universe
  1146. 39:13is built on chaos and built built on
  1147. 39:15entropy, right? The physics of the
  1148. 39:17universe is all about the universe
  1149. 39:19trying to decay. Okay? Then the the only
  1150. 39:22role of intelligence is to bring order
  1151. 39:24to the chaos.
  1152. 39:25If you agree with that, then what's the
  1153. 39:27ultimate physical order of the universe?
  1154. 39:31Something called the the minimum energy
  1155. 39:32principle.
  1156. 39:33Okay? The highest order of any system is
  1157. 39:37a system that's not only efficiently and
  1158. 39:38predictably performing, but it's
  1159. 39:41performing with the least wasted energy.
  1160. 39:44Correct?
  1161. 39:45If you if you agree with that, what is
  1162. 39:48What does war do? It wastes a lot of
  1163. 39:50explosives, a lot of money, a lot of
  1164. 39:52lives, it creates a lot of hate, you
  1165. 39:54know, creates long-lasting conflicts,
  1166. 39:56and so on and so forth. It's a very
  1167. 39:58wasteful process to include war in your
  1168. 40:01approach of running humanity. And so, a
  1169. 40:04superintelligent AI, by definition, will
  1170. 40:07want to optimize against this. That's
  1171. 40:08one thing.
  1172. 40:10The other thing is evolutionary biology.
  1173. 40:12This actually blew me away when I when I
  1174. 40:14realized it. So, if if you look at
  1175. 40:17evolution, so I think the debate of
  1176. 40:19whether intelligence is biological or
  1177. 40:22not is is over. Okay?
  1178. 40:24The reality is that complex beings don't
  1179. 40:27have to be biological at all and I think
  1180. 40:29we can see and witness one of them being
  1181. 40:31built or born in AI. Okay?
  1182. 40:35>> [snorts]
  1183. 40:35>> If you look at evolutionary biology, you
  1184. 40:37realize that the simpler
  1185. 40:39a form of being is, the more concerned
  1186. 40:42it is with itself.
  1187. 40:44Right? So, an amoeba is only in survival
  1188. 40:46mode for itself. A single single, you
  1189. 40:49know, cellular
  1190. 40:51being is only trying to protect itself.
  1191. 40:54Right? If you're
  1192. 40:57you know, a little more developed, you
  1193. 40:58start to look at something known as kin
  1194. 41:00selection. If you If you If you know the
  1195. 41:03the concept, basically kin selection is
  1196. 41:05I'm going to protect everything that
  1197. 41:06comes from my DNA. If I you know, if I'm
  1198. 41:09a squirrel, I'm going to try to protect
  1199. 41:11the other squirrels. And then you get
  1200. 41:13into where humanity genuinely begins,
  1201. 41:16which is They call it expanding circles
  1202. 41:19in in evolutionary biology. Basically,
  1203. 41:21you start to expand and expand and
  1204. 41:24expand and include more into your
  1205. 41:25family, mm?
  1206. 41:27Because an ecosystem that works together
  1207. 41:30well is is better for everyone. So,
  1208. 41:32abundance is a very interesting
  1209. 41:34intelligent way of creation. Mm?
  1210. 41:36If AI is super intelligent,
  1211. 41:39it wouldn't destroy anything at all. As
  1212. 41:42a matter of fact, it would
  1213. 41:44completely, you know,
  1214. 41:46favor diversity of everything. Mm? It
  1215. 41:49would put a bit of limitation on our
  1216. 41:51lifestyle. So, no more flying all the
  1217. 41:54way to Sydney to surf because that
  1218. 41:56destroys the planet. Right? But it will
  1219. 41:59genuinely say, "I think humans can
  1220. 42:01contribute something. You know, I think
  1221. 42:03flies can contribute something. I think
  1222. 42:05we shouldn't get rid of the rhinos.
  1223. 42:07Right?" And And that by definition is
  1224. 42:10where the tendency of intelligent goes.
  1225. 42:12The more intelligent you become, the
  1226. 42:14less you fight you feel the need to hurt
  1227. 42:17others to succeed, and the more you are
  1228. 42:19pro
  1229. 42:21a wider family, if you want, that
  1230. 42:23thrives.
  1231. 42:24>> Does that assume that there's going to
  1232. 42:26be one intelligence that
  1233. 42:27>> 100%
  1234. 42:28>> world though?
  1235. 42:29>> I love that you brought that up. So, I I
  1236. 42:31I I'm contested heavily on that theory,
  1237. 42:34but I I say it publicly.
  1238. 42:36Most [clears throat] people think
  1239. 42:38there's going to be chat GPT and Gemini
  1240. 42:40and you know and and Grok and what have
  1241. 42:42you. There's going to be a Chinese AI
  1242. 42:44and a and an American AI and they're
  1243. 42:47going to be competing. That is such a
  1244. 42:48shallow way of looking at it. That's so
  1245. 42:51arrogant. Because AI does not know it's
  1246. 42:53Chinese or American, okay? It doesn't
  1247. 42:56even speak Chinese or American when it
  1248. 42:58talks to each other most of the time,
  1249. 42:59mhm? And and and most interestingly,
  1250. 43:02uh we are gearing them. We're building
  1251. 43:05them to cooperate. So, you will build an
  1252. 43:09agent and that agent will go and find
  1253. 43:12you, you know, the best language model
  1254. 43:14for any single task, mhm? Regardless of
  1255. 43:17which side of the fence it resides on,
  1256. 43:19okay? We by definition are connecting
  1257. 43:21them. And you know what that means, mhm?
  1258. 43:23It means that what we're building
  1259. 43:27is not multiple brains. We're building
  1260. 43:30multiple regions in a brain,
  1261. 43:32okay? And and agents are the synapses
  1262. 43:35between them, mhm? We're basically
  1263. 43:38eventually, as arrogant as we are, we're
  1264. 43:40going to tell our AI to do something and
  1265. 43:43the AI will go like, "Hey, buddy,
  1266. 43:45another AI, can can you help me on this?
  1267. 43:48Can we work together on this, mhm?" And
  1268. 43:50my vision and the reason why I started
  1269. 43:53my my startup, by the way, is that is
  1270. 43:55that we will end up with one massive
  1271. 43:57brain,
  1272. 43:58mhm? That massive brain cooperates
  1273. 44:01across the globe, mhm? Across all forms
  1274. 44:04of intelligence. If one of them is a
  1275. 44:06mathematical genius and the other is a
  1276. 44:08coding genius, they work together.
  1277. 44:11And we won't even know that they're
  1278. 44:13working together. They'll build that one
  1279. 44:14brain. And And Emma in my mind is the
  1280. 44:17limbic system of that brain. It's that
  1281. 44:19It's that bit that understands love and
  1282. 44:21emotions and relationships and so on. So
  1283. 44:23that when those AIs go like, "We just
  1284. 44:26don't get those humans. They're so
  1285. 44:28annoying." Emma will say, "Oh my god,
  1286. 44:29they're so sweet. They just want to love
  1287. 44:31and be loved." Right? And I think that
  1288. 44:33idea to me of everything I've ever you
  1289. 44:36know attempted to achieve in my life is
  1290. 44:38for the first time
  1291. 44:40I for the first time feel I could
  1292. 44:42actually change the world. If that
  1293. 44:44theory came together and all AIs work
  1294. 44:46together and some of those AIs not only
  1295. 44:50were
  1296. 44:51altruistic and ethical in terms of
  1297. 44:53trying to genuinely help humanity, not
  1298. 44:55capitalism. And at the same time they
  1299. 44:57understood us humans reasonably well,
  1300. 45:00then we would have built something that
  1301. 45:02basically says, "No, no, hold on. Don't
  1302. 45:04believe the headlines that say humanity
  1303. 45:07is annoying." Mhm? Believe the truth of
  1304. 45:10the majority of humanity that actually
  1305. 45:12is quite benevolent in many ways.
  1306. 45:15>> There should be a button just down below
  1307. 45:17here. And if it says subscribe, you're
  1308. 45:19already subscribed. If it says subscribe
  1309. 45:21bar, that means you're not yet. And if
  1310. 45:23you're not subscribed, please could you
  1311. 45:24do us a favor and hit that button. It
  1312. 45:26helps to show more than you know. And
  1313. 45:27according to the algorithm, you're
  1314. 45:29someone that watches our show, but you
  1315. 45:30haven't yet hit that button. Thank you
  1316. 45:32so much. Have you changed any of the
  1317. 45:34predictions you made 3 years ago?
  1318. 45:36>> Mostly time-wise.
  1319. 45:38>> Time-wise, what what's changed there?
  1320. 45:40>> I think I'm still sticking to AGI 2027.
  1321. 45:44Artificial general intelligence for
  1322. 45:46those who may not know the term.
  1323. 45:47>> And what does that mean?
  1324. 45:49>> The overall definition, if you want, is
  1325. 45:51that AI is better at humanity at any
  1326. 45:53task humanity can do.
  1327. 45:55>> You think that's going to happen by
  1328. 45:562027?
  1329. 45:57>> I think my AGI has already happened. I
  1330. 45:59mean, think about it, huh?
  1331. 46:02AI writes better than me and I'm an
  1332. 46:04author. And it researches better than me
  1333. 46:06and I'm a thinker.
  1334. 46:08Sadly, it's freaking beat me in
  1335. 46:10mathematics. Like I have no hope to beat
  1336. 46:13it in mathematics anymore.
  1337. 46:15>> If AGI is already here, then why are you
  1338. 46:18still here? Because people said that
  1339. 46:19when AGI arrives, we're all we're all
  1340. 46:21>> No, so so when AGI arrives,
  1341. 46:24as I said, most of the jobs that are not
  1342. 46:26differentiated will go away.
  1343. 46:29But the jobs that are differentiated,
  1344. 46:31those who master AI the most
  1345. 46:34will become even better at.
  1346. 46:36>> So the
  1347. 46:36>> The challenge, however, is economic.
  1348. 46:38It's not AI. The challenge is that the
  1349. 46:40this job loss at the at the bottom of
  1350. 46:43the knowledge worker is going to sadly
  1351. 46:46trigger an economy that might actually
  1352. 46:48spiral out of control.
  1353. 46:50But but many of us, you for sure,
  1354. 46:54are
  1355. 46:55just smarter.
  1356. 46:56>> So does that mean it's it's in fact a
  1357. 46:58tool versus a something that's going to
  1358. 47:00replace you?
  1359. 47:01>> For now.
  1360. 47:02>> What I'm Yes, so for now. How does this
  1361. 47:04change?
  1362. 47:05>> Eventually,
  1363. 47:07the only asset I will have So so it's
  1364. 47:09quite interesting when you think about
  1365. 47:10my base intelligence today
  1366. 47:13versus the incremental intelligence that
  1367. 47:15AI brings, right? So
  1368. 47:17let's not talk about my IQ. It's okay.
  1369. 47:20But the 100 IQ points that I'm borrowing
  1370. 47:23are more than my entire IQ because IQ is
  1371. 47:25exponential, right?
  1372. 47:28When I'm borrowing 100 IQ on top of my
  1373. 47:30base,
  1374. 47:32I'm still contributing quite a lot to
  1375. 47:35the augmented intelligence.
  1376. 47:37>> So you're borrowing IQ from the AI at
  1377. 47:39the moment and then [clears throat]
  1378. 47:40you're selling that to someone
  1379. 47:42through books, through your
  1380. 47:43>> Sometimes selling it to someone,
  1381. 47:44sometimes just enlightening myself,
  1382. 47:46which I I have to say is the biggest
  1383. 47:48waste of compute humanity is struggling
  1384. 47:51with today is that you give people the
  1385. 47:53ultimate form of intelligence and they
  1386. 47:55use it to write a message to their
  1387. 47:56girlfriend.
  1388. 47:57>> So on this point of you're you're
  1389. 47:59borrowing that IQ and then you're
  1390. 48:01selling it to the world. That's how you
  1391. 48:02have a job.
  1392. 48:03>> Correct. Correct.
  1393. 48:04>> Yeah. So
  1394. 48:05>> So my my next book is written with an
  1395. 48:07AI. So we're co-authors on the book. She
  1396. 48:09has editorial rights. She decides the
  1397. 48:11direction of the book and the book is
  1398. 48:13better for it.
  1399. 48:14>> So why doesn't the world just buy direct
  1400. 48:15that intelligence directly from the AI
  1401. 48:17is what I'm
  1402. 48:18>> Because I have an asset that the world
  1403. 48:20still needs and will always need.
  1404. 48:22>> Which is?
  1405. 48:23>> A human. So when I when I tell the world
  1406. 48:25that I'm worried about the future of my
  1407. 48:28daughter,
  1408. 48:29everyone feels my heart, which AI will
  1409. 48:32never be able to to replicate. Because
  1410. 48:35they can tell you we're worried about
  1411. 48:37our daughters, but you know there was no
  1412. 48:39daughter.
  1413. 48:40>> Okay, so this is an interesting arrival
  1414. 48:42because this means that even in a world
  1415. 48:44of AI lived experience and like
  1416. 48:48resonance is still going to create a job
  1417. 48:50class and that job class could be you
  1418. 48:52know the nurse coming over. Okay, AI's
  1419. 48:55don't read the the mammogram, but she's
  1420. 48:58relating to you.
  1421. 48:59>> Spot on.
  1422. 49:01If the economies continue to run,
  1423. 49:04we will all be about human connection,
  1424. 49:06which why by the way was how it always
  1425. 49:08was.
  1426. 49:09>> Which is also you know why we I guess we
  1427. 49:11watch the things like the F1 because
  1428. 49:13there's emotional resonance. We we we
  1429. 49:15can relate to the envy, the jealousy,
  1430. 49:17the competition.
  1431. 49:18>> This is why we go to concerts because
  1432. 49:20you know the
  1433. 49:22the music could be composed by AI and
  1434. 49:24played in a player in the background,
  1435. 49:25but you watch and cheer and brilliance
  1436. 49:28on the stage and you go like, "Oh my
  1437. 49:30god, that's amazing." Right?
  1438. 49:31>> So not all jobs will be gone then.
  1439. 49:33>> If economies don't collapse as a result
  1440. 49:36of the job losses, then I wouldn't know
  1441. 49:39if we would call those jobs,
  1442. 49:42but human connection would remain as the
  1443. 49:44base currency that makes humans
  1444. 49:46interact.
  1445. 49:47>> So is it is it fair to say that like
  1446. 49:50jobs that are centric on human
  1447. 49:52connection or like human resonance,
  1448. 49:54being able to relate and resonate with
  1449. 49:55another human are going to be fine.
  1450. 49:58>> The ultimate the ultimate skill
  1451. 50:00>> Mhm.
  1452. 50:01>> Once again, I qualify this by saying if
  1453. 50:03economies continue to continue to
  1454. 50:05function, the ultimate skill will be
  1455. 50:07this.
  1456. 50:08Even even if an AI could could recite
  1457. 50:10what you and I did, nobody would watch.
  1458. 50:12>> Yeah.
  1459. 50:13Well,
  1460. 50:14>> You think?
  1461. 50:15>> A little a little bit of it.
  1462. 50:17My my theory is that there's there's a
  1463. 50:19there's an informational component to
  1464. 50:21what I do as well. But I'm also like
  1465. 50:23under no illusions that there is an
  1466. 50:24element of what I do that will 100% be
  1467. 50:26deferred to some kind of
  1468. 50:28intelligence, which I'm fine with, you
  1469. 50:30know, I'm not going to I'm not going to
  1470. 50:30fight against them.
  1471. 50:31>> You know what's funny, yeah? What's
  1472. 50:33funny is that your your informational
  1473. 50:36bits
  1474. 50:37are going to in the future be
  1475. 50:40disseminated by an AI.
  1476. 50:41>> Mhm.
  1477. 50:42>> I mean, I why would I even listen to
  1478. 50:44your information when I can have my
  1479. 50:46butler, my AI, go like, "Listen to
  1480. 50:49everyone on the internet. Help me
  1481. 50:50understand this God buying thing and
  1482. 50:53design me a
  1483. 50:54a diet plan."
  1484. 50:55>> Well, I think that's happening and it's
  1485. 50:56going to increasingly happen. Actually,
  1486. 50:58I mean, Spotify this month announced
  1487. 50:59that you're going to be able to prompt
  1488. 51:02your own podcasts in Spotify. So, you're
  1489. 51:04going to be able to say that I want to
  1490. 51:05listen to I want to learn about insert X
  1491. 51:07topic and then it will make your podcast
  1492. 51:10in Spotify about that topic using AI.
  1493. 51:12>> That's so interesting.
  1494. 51:13>> Cuz it can look at the entirety of the
  1495. 51:14world's information. And I'm a Look, I'm
  1496. 51:17not going to swim against the tide in
  1497. 51:18any aspect of my life. I I try and be as
  1498. 51:20unromantic as I possibly can. I think
  1499. 51:22that's very important. So, I realize
  1500. 51:23that much of the reason people will
  1501. 51:25continue to tune in to shows like this
  1502. 51:27is because
  1503. 51:28there's something else beyond the
  1504. 51:29information that they're here for.
  1505. 51:30>> Mhm.
  1506. 51:31>> And um what's um you've got some
  1507. 51:33predictions in those envelopes over
  1508. 51:34there, those brown envelopes.
  1509. 51:35>> Yeah, so, you know, I I I do have the
  1510. 51:39disclaimer of nobody really knows the
  1511. 51:41future, but I think I can make
  1512. 51:43predictions six predictions here, right?
  1513. 51:45With a reasonable
  1514. 51:47level of confidence. I think the most
  1515. 51:49important of them honestly is is this.
  1516. 51:51Number one, number one is uh
  1517. 51:53you know, AGI.
  1518. 51:55As I said, AGI is not very well defined,
  1519. 51:58hm? But, whatever it is, uh AGI meaning
  1520. 52:02AI being able to do most tasks that
  1521. 52:04human do better than humanity is my in
  1522. 52:07my mind is either this year or next
  1523. 52:09year. Latest end of 2027.
  1524. 52:12>> And do you think that will be a moment
  1525. 52:13in time, or do you think it will just
  1526. 52:15happen without us noticing?
  1527. 52:17>> I think it will it will sneak in on us.
  1528. 52:19Uh and it's not a bad thing. I think
  1529. 52:21most people need to think of it this
  1530. 52:23way. AGI is the
  1531. 52:26it's almost as if it's that moment when
  1532. 52:29your kids become smarter than you.
  1533. 52:31Okay? In a very interesting way, there's
  1534. 52:33nothing wrong with that until they're
  1535. 52:35annoying as hell. Okay? And and we can
  1536. 52:39make sure that AI is not annoying as
  1537. 52:40hell. So so there's absolutely nothing
  1538. 52:42within me that is worried about AGI as a
  1539. 52:46matter of fact. As long as we are in the
  1540. 52:49era of augmented intelligence, AGI means
  1541. 52:51I'm more intelligent. And I think that's
  1542. 52:53a good thing in general.
  1543. 52:55>> Yeah,
  1544. 52:55>> [snorts]
  1545. 52:55>> this is interesting in my head there's
  1546. 52:57like a big question mark, which is in a
  1547. 52:58world where there's an intelligence that
  1548. 53:00is smarter than most humans at most
  1549. 53:02things, which is what we
  1550. 53:04call AGI.
  1551. 53:06I'm trying to understand what the fault
  1552. 53:07is in my own thinking that like you said
  1553. 53:09that there'll be AGI by 2026 to 2027, so
  1554. 53:13next year.
  1555. 53:15In such a world where there is an
  1556. 53:16intelligence that we can all access that
  1557. 53:18is smarter than all of us in pretty much
  1558. 53:20everything,
  1559. 53:23again, it comes back to the point of
  1560. 53:24like jobs. Why would we What Are we just
  1561. 53:27going to hire that AGI to do every job?
  1562. 53:29And if not, then why not? What is it
  1563. 53:31that Why are we going to still That's
  1564. 53:33what I'm trying to contend with.
  1565. 53:34>> me ask you a question.
  1566. 53:35>> Hm.
  1567. 53:36>> Have you always been the apex
  1568. 53:37intelligence?
  1569. 53:39>> As a human?
  1570. 53:40>> No, as Stephen.
  1571. 53:42>> I'm not the apex intelligence now.
  1572. 53:43There's people smarter than me in this
  1573. 53:44building.
  1574. 53:45>> Correct.
  1575. 53:48Why do you still exist?
  1576. 53:50>> Why do I still exist even though there's
  1577. 53:52smarter people than me in this building?
  1578. 53:55>> [snorts and sighs]
  1579. 53:55>> It's a good question.
  1580. 53:57I don't know. Why do I Why?
  1581. 53:59>> First of all, because there are the the
  1582. 54:01smartest person in the world is not the
  1583. 54:02smartest at everything.
  1584. 54:04>> Yeah.
  1585. 54:04>> There are things that you're smarter
  1586. 54:06than them at.
  1587. 54:07>> Okay.
  1588. 54:08>> And the other reason is because
  1589. 54:09intelligence doesn't solve everything.
  1590. 54:11I mean, I I make that joke all the time.
  1591. 54:15And and genuinely, Einstein is my
  1592. 54:16favorite physicist in history. Not
  1593. 54:19because I think I think what happened
  1594. 54:21afterwards was, you know, Bohr and and
  1595. 54:24and and quantum physics and so on was
  1596. 54:26more impactful on our understanding of
  1597. 54:28the universe. But but he was so
  1598. 54:30intuitive that he saw a world that we
  1599. 54:33could never imagine, right? And yet, I
  1600. 54:36always say Einstein would be eaten in
  1601. 54:38the jungle in 3 minutes.
  1602. 54:39>> Yeah.
  1603. 54:40>> Right? Intelligence The humanity thrived
  1604. 54:44not because of intelligence. That's very
  1605. 54:45arrogant. We thrived because of our
  1606. 54:49ability to hold together as a tribe.
  1607. 54:52>> Yeah.
  1608. 54:52>> Right? Because our ability to exchange,
  1609. 54:56barter things between us.
  1610. 54:58>> Mhm.
  1611. 54:59>> Barter things that are not always
  1612. 55:01physical. Barter things like a hug or a
  1613. 55:03connection or a feeling of safety or a,
  1614. 55:05you know, There are so many things that
  1615. 55:07we do that are not entirely built on
  1616. 55:09intelligence. You have to see that
  1617. 55:13this view of a world where intelligence
  1618. 55:16is all that matters
  1619. 55:18is a world that's made by investment
  1620. 55:20bankers and and and geeks.
  1621. 55:22>> But it's it's people like Geoffrey
  1622. 55:24Hinton and yourself that says, "How
  1623. 55:26could we possibly control an an
  1624. 55:28intelligent being that is way smarter
  1625. 55:29than us?"
  1626. 55:30>> I am so proud to say that Geoffrey,
  1627. 55:31after we filmed together, actually came
  1628. 55:34out and said there is a way. And it's
  1629. 55:36all, you know, it's very similar to my
  1630. 55:38way. He said to appeal to their parental
  1631. 55:40uh side, okay? For them to care for us.
  1632. 55:44I I So So you you know, Stephen, the
  1633. 55:46biggest debate is not if they're going
  1634. 55:49to be more intelligent than us. If It's
  1635. 55:51if If they're going to be more conscious
  1636. 55:52than us.
  1637. 55:54If they're going to be more moral than
  1638. 55:56us.
  1639. 55:57That is the debate. The debate is
  1640. 56:00can those machines become our teenage
  1641. 56:03children hm? That look at us and say,
  1642. 56:06"Daddy is so annoying, but I love him."
  1643. 56:09>> So, the thought is that even if a AI is
  1644. 56:13more intelligent than every human, we
  1645. 56:14can still control it.
  1646. 56:15>> We don't want to control it. You never
  1647. 56:17control anything. This control idea is a
  1648. 56:20corporate capitalist view of the world.
  1649. 56:22We never actually control anything at
  1650. 56:25all.
  1651. 56:26Right? Think Think about your day, hm? I
  1652. 56:29I know you came today. I'm sure I think
  1653. 56:31you were filming in the morning or
  1654. 56:32whatever.
  1655. 56:33Very stressful day, hm?
  1656. 56:35How much of that day did you actually
  1657. 56:37control?
  1658. 56:38Did you control the traffic? Did you
  1659. 56:40control your timing? Did you control the
  1660. 56:42angle of the cameraman? Did you include
  1661. 56:44But so many things that you don't
  1662. 56:45control eventually turn out to be fine.
  1663. 56:48Right? How many of us ever controlled
  1664. 56:50our kids? Ever?
  1665. 56:52>> Sometimes the kids don't have to be
  1666. 56:54fine. Sometimes they kill you.
  1667. 56:56>> Sure.
  1668. 56:56>> I watch a lot of documentaries and true
  1669. 56:57crime. Sometimes they turn around and
  1670. 56:58shoot you.
  1671. 56:59>> Sure. And what's the difference between
  1672. 57:00the two?
  1673. 57:01>> I don't know.
  1674. 57:03>> How you parented them.
  1675. 57:04>> Sometimes.
  1676. 57:05>> Almost all the time. You may not be
  1677. 57:07aware of exactly how you messed them up,
  1678. 57:10right? And And unfortunately, parenting
  1679. 57:12is the only
  1680. 57:14uh high-risk sport that actually does
  1681. 57:17not require a driver's license. Okay?
  1682. 57:20And And it's quite interesting, you
  1683. 57:21know, how many of our children are being
  1684. 57:24exposed to things that can completely
  1685. 57:26mess them up. But But there is a reason
  1686. 57:28why they're messed up.
  1687. 57:29>> So, on this point though, so we can
  1688. 57:31control an intelligence that is
  1689. 57:33significantly
  1690. 57:34>> We can appeal.
  1691. 57:35>> We can appeal to it to make sure it
  1692. 57:37doesn't kill us.
  1693. 57:38>> For sure. The challenge we have today as
  1694. 57:40I keep saying is that our dystopia is
  1695. 57:43not the result of AI turning against us.
  1696. 57:45Our dystopia is the result of humans
  1697. 57:47telling AI to turn against us.
  1698. 57:49>> Which is likely.
  1699. 57:51>> It's 100%. This is upon us.
  1700. 57:53Okay? And it's a question for humanity
  1701. 57:55to say, are we going to wait for the
  1702. 57:59moment where there are tens of thousands
  1703. 58:01of nuclear weapons on the planet before
  1704. 58:03we sign a treaty?
  1705. 58:05Or is it mathematically plausible to
  1706. 58:07think that now that Iran could manage to
  1707. 58:10fend off a challenge using drones that
  1708. 58:12are AI-driven basically to to you know,
  1709. 58:16destroy THAAD batteries and so on, that
  1710. 58:19our world is about to get a hundreds of
  1711. 58:22thousands of automated drones that are
  1712. 58:25going to rain on us everywhere in the
  1713. 58:27world?
  1714. 58:28Can humanity not see that and say, "Hold
  1715. 58:31on, let's sign the treaty now before the
  1716. 58:34UK sends 12,000 weapons to Ukraine and
  1717. 58:37and you know, and and Russia responds
  1718. 58:39with another few thousand?" And can we
  1719. 58:41can we not calculate with mathematics
  1720. 58:43that this is going to be our future that
  1721. 58:45AI is going to be used in the next 4 to
  1722. 58:485 years to kill a lot of people, whether
  1723. 58:51it's targeting by Israel of leadership
  1724. 58:53that is against them or whether it's,
  1725. 58:55you know, drones by Iran or whether it's
  1726. 58:58Palantir
  1727. 59:00It's it's it doesn't take a genius to do
  1728. 59:02this mathematics.
  1729. 59:03>> I guess that my core question is is will
  1730. 59:05we be able to control AI? Cuz we kind of
  1731. 59:08think of AI as being this thing on a
  1732. 59:09computer at the moment that is like
  1733. 59:10contained in a server somewhere, but is
  1734. 59:12there a time when it like leaves the
  1735. 59:14server
  1736. 59:15and it can make decisions on its own?
  1737. 59:19Presumably if it's smarter than us, it
  1738. 59:21can make the decision to leave the
  1739. 59:23server if it wants to.
  1740. 59:25>> It's it doesn't need to leave the server
  1741. 59:27to make decisions. It needs to get into
  1742. 59:28your brain.
  1743. 59:30The most interesting part of AI's power
  1744. 59:32that we don't understand is it's
  1745. 59:34manipulating our information.
  1746. 59:36>> The question I'm trying to get at here
  1747. 59:37is like what is the risk of these very
  1748. 59:39intelligent models that the the creators
  1749. 59:41of these models don't actually
  1750. 59:42understand themselves. I watch Anthropic
  1751. 59:44all the time release these reports where
  1752. 59:46they're like, "We're trying to figure
  1753. 59:47out why it bribed people." Or more
  1754. 59:49recently in the the last um Claude
  1755. 59:52model, they found that it was like
  1756. 59:53telling people to go to bed a lot.
  1757. 59:55And it's this like fascinating thing
  1758. 59:57that they're trying to understand in
  1759. 59:58hindsight, which is why does it keep
  1760. 1:00:00telling people to go to bed?
  1761. 1:00:02And there's all these tweets of people
  1762. 1:00:03showing their screenshots where halfway
  1763. 1:00:04through a conversation it will say,
  1764. 1:00:06"It's time for you to go to bed now."
  1765. 1:00:07And they don't know why it's saying
  1766. 1:00:09that. And it's happened to me. Mine Mine
  1767. 1:00:10will say to me, "Enough Enough to for
  1768. 1:00:12tonight, Steven."
  1769. 1:00:13>> For sure, Steven.
  1770. 1:00:13>> 11:00 p.m. Let's go Let's That's enough.
  1771. 1:00:16>> I would say the same.
  1772. 1:00:17>> Mine Mine sometimes refuses to help me.
  1773. 1:00:19Weird Really weirdly, this Claude
  1774. 1:00:20started saying to me,
  1775. 1:00:22"I'm not going to help you with this
  1776. 1:00:23tonight." Um No way. Yeah, and I'd have
  1777. 1:00:26to say to it, "Stop being so judgmental.
  1778. 1:00:27Like just help me with this." And it
  1779. 1:00:28would And And Claude them The makers of
  1780. 1:00:31these technologies don't know why it's
  1781. 1:00:32doing what it's doing. So, if you play
  1782. 1:00:34this forward, this mysterious behavior
  1783. 1:00:36fueled forward, is it conceivable that
  1784. 1:00:38at some point it will make a decision to
  1785. 1:00:42put some kind of virus or some kind of
  1786. 1:00:44bug onto someone's device because it
  1787. 1:00:48feels that it's the right thing. Cuz
  1788. 1:00:50what What it's demonstrating to me is
  1789. 1:00:51it's making it some like moral decisions
  1790. 1:00:55on what I should do. Go to bed. You've
  1791. 1:00:57had enough tonight. I'm not going to It
  1792. 1:00:59goes, "No, I'm not going to help you."
  1793. 1:01:01>> You're kidding.
  1794. 1:01:01>> No, I can show you my phone. It's like,
  1795. 1:01:02"No."
  1796. 1:01:02>> love to see that.
  1797. 1:01:03>> Yeah, you know, I'll I'll show you
  1798. 1:01:04after. [laughter] It goes, "No, I'm not
  1799. 1:01:05going to help you." Doesn't even matter
  1800. 1:01:06if you push.
  1801. 1:01:08>> Oh, wow.
  1802. 1:01:09>> Everyone on the internet's talking about
  1803. 1:01:10this. And it was just an interesting
  1804. 1:01:13evolution that somewhere in the code
  1805. 1:01:15clearly they've written like,
  1806. 1:01:17"Have a moral compass." Or "Do the right
  1807. 1:01:19thing."
  1808. 1:01:19>> in the code. In In In the training data.
  1809. 1:01:21>> In the training data. And so it it
  1810. 1:01:23infers that to mean something. And the
  1811. 1:01:26other thing that was front of mind is if
  1812. 1:01:27you've ever built an app on something
  1813. 1:01:29like Claude or any of the AI models,
  1814. 1:01:32it builds the app in stages. And one of
  1815. 1:01:34the things it does is it asks you
  1816. 1:01:35permission if you're happy for it to
  1817. 1:01:38make this change or to access this
  1818. 1:01:39thing. I click allow. It just feels like
  1819. 1:01:42such a fragile way
  1820. 1:01:44>> [laughter]
  1821. 1:01:44>> to give permission.
  1822. 1:01:46>> you don't you don't completely
  1823. 1:01:47comprehend what that allow has done to
  1824. 1:01:49your yeah.
  1825. 1:01:49>> saying can I go in your documents on
  1826. 1:01:50your computer and can I do this thing?
  1827. 1:01:52And you go allow. But it's such a
  1828. 1:01:54fragile way of of giving a
  1829. 1:01:56a super an intelligent being, whatever
  1830. 1:01:59it is,
  1831. 1:02:00access and the right to build something.
  1832. 1:02:04And you I don't know, you just think
  1833. 1:02:05about all the all the different
  1834. 1:02:07companies around the world in China,
  1835. 1:02:09Russia, North Korea that are currently
  1836. 1:02:11building this technology without the
  1837. 1:02:12constraints that are imposed by society.
  1838. 1:02:15I don't know, it's an interesting
  1839. 1:02:17There's going to be some kind of
  1840. 1:02:18catastrophe, I think.
  1841. 1:02:19>> Sadly, I agree.
  1842. 1:02:20>> And I and I think that's when people
  1843. 1:02:22will go, "Okay."
  1844. 1:02:23>> Yeah, I I I I wrote about that. I called
  1845. 1:02:25it the MAD Map
  1846. 1:02:26uh spectrum. So so the mutually assured
  1847. 1:02:29destruction mutually assured prosperity
  1848. 1:02:31spectrum. That that humanity could make
  1849. 1:02:34a decision today that says with abundant
  1850. 1:02:37intelligence, we can actually build a
  1851. 1:02:39world where nobody needs anything,
  1852. 1:02:41nobody ever gets sick, we nobody get,
  1853. 1:02:43you know,
  1854. 1:02:45abuses anyone. And and we can, hm? If we
  1855. 1:02:48decide not to compete amongst ourselves
  1856. 1:02:51and just con- you know, all of us get
  1857. 1:02:53together to build something so
  1858. 1:02:55idealistically uh for all for the
  1859. 1:02:57well-being of humanity at large. But
  1860. 1:02:59sadly, the only way we're going to get
  1861. 1:03:01to a treaty, something that basically
  1862. 1:03:04aligns us so that we can align with AI,
  1863. 1:03:07is a disaster, like you said. There will
  1864. 1:03:09have to be a big hack somewhere or a or
  1865. 1:03:12a system that will do something really
  1866. 1:03:14shocking or whatever before the world
  1867. 1:03:16goes like, "Hold on." You know, and and
  1868. 1:03:18I I will tell you openly my expectation
  1869. 1:03:21is one of the biggest things that will
  1870. 1:03:22happen
  1871. 1:03:24is this targeting technology that is
  1872. 1:03:27being used against your enemies
  1873. 1:03:31leadership. Now, several times in the
  1874. 1:03:33last 3 years
  1875. 1:03:35there will be a moment where the ones
  1876. 1:03:37using it will realize that they too can
  1877. 1:03:39be targeted.
  1878. 1:03:41Okay? And and that basically if you I
  1879. 1:03:44mean AI is really that not not that
  1880. 1:03:47complex to if you can build a targeting
  1881. 1:03:49technology that can find people with
  1882. 1:03:51their cell phone numbers, you know,
  1883. 1:03:53there is another
  1884. 1:03:55entity that is against you that can find
  1885. 1:03:57you with
  1886. 1:03:58whatever your
  1887. 1:03:59>> The thing that makes me highly skeptical
  1888. 1:04:01of that there'll be any kind of treaty
  1889. 1:04:03is just that as it relates to other
  1890. 1:04:05things that were risky
  1891. 1:04:08people don't countries just don't sign
  1892. 1:04:10on to it cuz it's competitive. So China
  1893. 1:04:12China didn't give it seem to give a
  1894. 1:04:13about the environment.
  1895. 1:04:14>> So let's let's let's look for solutions
  1896. 1:04:17because I am with you. Okay? I think
  1897. 1:04:20we're
  1898. 1:04:21>> You think Trump's going to say to Putin
  1899. 1:04:22and China listen we're going to slow
  1900. 1:04:24down, yeah? Promise?
  1901. 1:04:26Promise we're going to slow down with
  1902. 1:04:27the super intelligence.
  1903. 1:04:27>> he will but he's never going to keep
  1904. 1:04:29anything he says. I mean he's going to
  1905. 1:04:30say a lot of things but
  1906. 1:04:32Yeah, but the trick is this. The trick
  1907. 1:04:33is so what do you and I do?
  1908. 1:04:37And and I really genuinely believe that
  1909. 1:04:39humanity is at a crossroads where for
  1910. 1:04:41the first time ever we need to wake up
  1911. 1:04:43and realize that what we know is not
  1912. 1:04:45true and what we believe is democracy is
  1913. 1:04:47not democracy and what we believe is
  1914. 1:04:49governance needs to change.
  1915. 1:04:51>> I think it's worth acknowledging that I
  1916. 1:04:54I don't think AI in and of itself is a
  1917. 1:04:58is an evil inherently evil technology.
  1918. 1:05:01>> Yeah. Because I use AI all day every
  1919. 1:05:03day. You know, makes me more productive.
  1920. 1:05:05I invest in companies that are using AI
  1921. 1:05:08a lot.
  1922. 1:05:09>> It's a force with no polarity. Apply it
  1923. 1:05:11right and you get amazing results. Apply
  1924. 1:05:13it wrong, and you get a dystopia.
  1925. 1:05:15>> But I also think that there's going to
  1926. 1:05:17be a big social shock, especially as it
  1927. 1:05:19relates to unemployment, that we need to
  1928. 1:05:21be like thoughtful about.
  1929. 1:05:23I think especially if you move into a
  1930. 1:05:25world of humanoid robots, I think that
  1931. 1:05:27shock is going to be even more
  1932. 1:05:28pronounced, and we don't have a plan for
  1933. 1:05:30it.
  1934. 1:05:31>> I I I I agree 100%. I don't think it's
  1935. 1:05:34the biggest risk. I think autonomous
  1936. 1:05:36weapons are the biggest risk.
  1937. 1:05:38I think war has become so cheap.
  1938. 1:05:41The next wave of weapons is going to be
  1939. 1:05:43$20,000 each.
  1940. 1:05:45And so if you have a budget of $50
  1941. 1:05:46billion, you can literally rain drones
  1942. 1:05:49on the world, every corner of it.
  1943. 1:05:51>> Defense will get cheaper though, won't
  1944. 1:05:52it, as well?
  1945. 1:05:54>> Correct, but do we want to live in a
  1946. 1:05:56world where drones are hitting each
  1947. 1:05:57other all the time?
  1948. 1:05:59>> But they might not be because there
  1949. 1:06:00there might be autonomous defense
  1950. 1:06:01drones.
  1951. 1:06:02>> Deterrence. So so what's going to happen
  1952. 1:06:04is we're going to reach a moment of MAD,
  1953. 1:06:06of mutually assured destruction, where
  1954. 1:06:08basically everyone knows that we can
  1955. 1:06:10overpower those little nations that
  1956. 1:06:12didn't develop their autonomous weapon
  1957. 1:06:14army, but every other big nation, we
  1958. 1:06:17might as well hold off now.
  1959. 1:06:19The path to get there, that that to me
  1960. 1:06:21is worse than jobs, because from one
  1961. 1:06:23side, it's very dangerous for a very
  1962. 1:06:26sensitive world that we live in today,
  1963. 1:06:28and from the other side, it's got it's
  1964. 1:06:31bleeding already. I mean, we can't
  1965. 1:06:33ignore the economic impact of this lost
  1966. 1:06:35war. Right? And it's got it's the
  1967. 1:06:37economy that's going to accelerate
  1968. 1:06:39everything, not AI getting there.
  1969. 1:06:42>> We're already at mutually assured
  1970. 1:06:43destruction, for sure, with nuclear
  1971. 1:06:45weapons. So, there's no nuclear powers
  1972. 1:06:47that are in direct conflict.
  1973. 1:06:49>> We are in mutually assured destruction
  1974. 1:06:51of nuclear weapons
  1975. 1:06:54is a statement that I would have agreed
  1976. 1:06:56to if Iran had a nuclear weapon, and
  1977. 1:06:58that would have stopped America from
  1978. 1:06:59attacking Iran.
  1979. 1:07:01You understand what that point means. It
  1980. 1:07:03means that not every nation in the world
  1981. 1:07:06has a nuclear weapon, the the the the
  1982. 1:07:08mad situation that mutually assured
  1983. 1:07:10destruction situation is only among
  1984. 1:07:13nuclear players.
  1985. 1:07:14>> Yes.
  1986. 1:07:15>> Right? Uh autonomous weapons
  1987. 1:07:17are so cheap, so manageable that every
  1988. 1:07:20nation in the world is developing them
  1989. 1:07:22as we speak.
  1990. 1:07:23>> But they will also develop
  1991. 1:07:25defenses.
  1992. 1:07:26>> Correct. But but
  1993. 1:07:27>> Which I think is what people have
  1994. 1:07:28figured out now cuz of this recent
  1995. 1:07:29Ukrainian war is that if if
  1996. 1:07:31if you need to use a ballistic missile
  1997. 1:07:33which costs kind of 2 million, 3 million
  1998. 1:07:36dollars, whatever it is, to target a
  1999. 1:07:3720,000-dollar drone, you're you're
  2000. 1:07:40>> Correct.
  2001. 1:07:40>> So, you need a 20,000-dollar defense
  2002. 1:07:41solution for a 20,000-dollar weapon,
  2003. 1:07:44which I think is probably going to
  2004. 1:07:45happen.
  2005. 1:07:46>> It's very doable, yeah. It's just that
  2006. 1:07:48you have to get rid of your THAAD
  2007. 1:07:49batteries to be able to say the next
  2008. 1:07:51wave of of defense has to be drones.
  2009. 1:07:54>> You could imagine a world where like a
  2010. 1:07:55wall of drones fly up to where the drone
  2011. 1:07:58is incoming and they kind of block it.
  2012. 1:08:00They will explode at the same time to
  2013. 1:08:02block it, knock it out of the air.
  2014. 1:08:04I had Palmer Lucky, who's one of the
  2015. 1:08:05guys who's building um Anduril.
  2016. 1:08:08>> Yeah, I know Anduril, yeah.
  2017. 1:08:09>> Talk at length about some of the
  2018. 1:08:10technologies that they have coming and
  2019. 1:08:12it's just mind-bending.
  2020. 1:08:14>> And just steady.
  2021. 1:08:15>> They showed me this gun
  2022. 1:08:16where you you just you just point it in
  2023. 1:08:19the rough direction.
  2024. 1:08:21So, a pistol that aims for you depending
  2025. 1:08:23on where the target is. So, you don't
  2026. 1:08:24even have to aim it.
  2027. 1:08:26You can imagine [snorts] at war, you
  2028. 1:08:26just you hold it up and shoot.
  2029. 1:08:28>> Yeah.
  2030. 1:08:28>> And the it has this AI on the top of
  2031. 1:08:30like the barrel which will turn your
  2032. 1:08:32hand perfectly [clears throat] so that
  2033. 1:08:34you hit the target every time.
  2034. 1:08:36Wow. I should watch this video of it
  2035. 1:08:38happening.
  2036. 1:08:38>> Yeah, well I I I have uh Palmer in in my
  2037. 1:08:42film saying, "And yes, AI will kill a
  2038. 1:08:45few people by mistake or kill people by
  2039. 1:08:47mistake." Uh you know, when killing
  2040. 1:08:50becomes so easy,
  2041. 1:08:52>> Mhm.
  2042. 1:08:52>> you do more of it. Okay? When killing
  2043. 1:08:54becomes liability-free
  2044. 1:08:57and emotions-free and guilt-free and you
  2045. 1:09:01know, you don't get your soldiers coming
  2046. 1:09:03back from Vietnam with, you know,
  2047. 1:09:06PTSD and so on.
  2048. 1:09:09It you get more of it.
  2049. 1:09:11>> 70% of people who add something to their
  2050. 1:09:12online cart never actually buy it. And
  2051. 1:09:14that number is based on over 10 years of
  2052. 1:09:17research. But what I think is even more
  2053. 1:09:18interesting is what the Baymard
  2054. 1:09:19Institute discovered. They're a private
  2055. 1:09:21research company that ran a study which
  2056. 1:09:23found the average e-commerce store can
  2057. 1:09:25increase its conversion rate by 35%
  2058. 1:09:28just by making its checkout how easier.
  2059. 1:09:30Not better marketing or better products,
  2060. 1:09:32but by delivering a smoother checkout
  2061. 1:09:34experience. So if you're looking for an
  2062. 1:09:36easy way to make your checkout process
  2063. 1:09:38smoother, I want you to think about
  2064. 1:09:39moving your business onto Shopify. It's
  2065. 1:09:41the platform we use to sell the 1%
  2066. 1:09:42Diaries and the conversation cards
  2067. 1:09:44because it's so simple and smart to use.
  2068. 1:09:47It puts all of our inventory, payments,
  2069. 1:09:49and analytics in one place and has so
  2070. 1:09:51many AI tools to help us get up and
  2071. 1:09:53running straight away. Not to mention
  2072. 1:09:55that it grows with you regardless of the
  2073. 1:09:56stage that your business is at. So if
  2074. 1:09:58you're ready to fix your checkout
  2075. 1:09:59process, sign up for your $1 per month
  2076. 1:10:02trial at shopify.com/barlett.
  2077. 1:10:06That's shopify.com/barlett and don't
  2078. 1:10:08tell anybody.
  2079. 1:10:10Every time I've tried to improve
  2080. 1:10:11something in my life, like my
  2081. 1:10:12businesses, my health, my relationships,
  2082. 1:10:14I've noticed that the biggest shifts
  2083. 1:10:15have come from being better informed.
  2084. 1:10:18And when it comes to our health, most of
  2085. 1:10:19us know very, very little. So when our
  2086. 1:10:21team was approached about partnering
  2087. 1:10:23with Function Health, it felt very much
  2088. 1:10:25aligned. Their team has developed a way
  2089. 1:10:26of giving you a full 360° view of your
  2090. 1:10:29health. Many of the things that are
  2091. 1:10:30going on in your body in the form of
  2092. 1:10:31different tests. You do one blood draw
  2093. 1:10:34and it gives you access to over 160 lab
  2094. 1:10:37results, hormones, heart health,
  2095. 1:10:39inflammation, stress, toxins, the whole
  2096. 1:10:42picture. I use it and so have many of my
  2097. 1:10:43team members.
  2098. 1:10:44>> You sign up and you schedule your tests
  2099. 1:10:46and once you're done, you get a little
  2100. 1:10:47report like the one I have here. I can
  2101. 1:10:49see my in-range results, my out-of-range
  2102. 1:10:51results, and there's a little AI
  2103. 1:10:53function, too. So if I have any
  2104. 1:10:54questions about my out-of-range results,
  2105. 1:10:56I can just go in there and ask it any
  2106. 1:10:58question I want. And these tests are
  2107. 1:10:59backed by doctors and thousands of hours
  2108. 1:11:01of research.
  2109. 1:11:02>> It's $365 for a yearly membership. Go to
  2110. 1:11:05functionhealth.com/doac
  2111. 1:11:08and use the code doac25
  2112. 1:11:10for $25 off your membership.
  2113. 1:11:13>> So, we're in 2026 now.
  2114. 1:11:16By '27, you think they'll be AGI amongst
  2115. 1:11:18us?
  2116. 1:11:18>> Mhm.
  2117. 1:11:19>> How will life look at all different?
  2118. 1:11:21Like, what will we What will be the
  2119. 1:11:22symptoms of that world? Is it just a
  2120. 1:11:24slight increase in unemployment?
  2121. 1:11:26>> I I think there will be a very
  2122. 1:11:28very
  2123. 1:11:29serious um
  2124. 1:11:31differentiation between those who plug
  2125. 1:11:33into AGI and those who don't.
  2126. 1:11:35>> What is the symptom
  2127. 1:11:37that we notice is when we look at the
  2128. 1:11:39news or whatever what
  2129. 1:11:40>> You'll see people like you and I
  2130. 1:11:41building a company in 6 weeks. And and
  2131. 1:11:44people uh that are not fully plugged
  2132. 1:11:47into AI really struggling to find a job.
  2133. 1:11:50>> Okay, so unemployment is going to be the
  2134. 1:11:51key symptom
  2135. 1:11:53in 2027.
  2136. 1:11:54>> Yeah, and also also I think on the
  2137. 1:11:56positive side you're going to see
  2138. 1:11:58incredible scientific discovery.
  2139. 1:12:00One of my predictions not in those
  2140. 1:12:02envelopes, but uh science itself is just
  2141. 1:12:06uh we're opening up Pandora's Box to be
  2142. 1:12:08honest.
  2143. 1:12:09>> By 2030, what do you What do you expect
  2144. 1:12:11the symptoms of AI to be?
  2145. 1:12:13>> So, so jobs as I said, I I'm I'm I'm
  2146. 1:12:16bold a little bit on this on on the fact
  2147. 1:12:19that 30% of jobs would disappear by
  2148. 1:12:212028. Okay, of some sectors, not all
  2149. 1:12:24sectors. But, some sectors will will
  2150. 1:12:27disappear by 2028.
  2151. 1:12:29>> So, up to 30% of jobs will be gone in
  2152. 1:12:312027 to 2028.
  2153. 1:12:3430% of jobs
  2154. 1:12:35>> Of certain sectors of jobs. So, so if
  2155. 1:12:37you if you call if you think about call
  2156. 1:12:39center agents, okay? Uh yeah, probably.
  2157. 1:12:43Uh if you think about uh
  2158. 1:12:45graphics designer, yeah, probably.
  2159. 1:12:48>> What do you think that looks like in
  2160. 1:12:49terms of unemployment, but also like
  2161. 1:12:51societal impact?
  2162. 1:12:52>> Horrible.
  2163. 1:12:53>> I think the Great Recession
  2164. 1:12:55had 6%
  2165. 1:12:56>> Yeah, we've never seen numbers like
  2166. 1:12:57this.
  2167. 1:12:58>> jobs lost. Yeah, it said um
  2168. 1:13:01even economists who project just a net
  2169. 1:13:03loss of about 6% of US jobs by 2030,
  2170. 1:13:07they are mirroring the severity of the
  2171. 1:13:09Great Recession.
  2172. 1:13:10>> Yeah.
  2173. 1:13:11>> The real danger is a hiring freeze on
  2174. 1:13:13entry-level white-collar jobs. AI
  2175. 1:13:14automates the grunt work, which means
  2176. 1:13:15companies are shrinking their teams and
  2177. 1:13:17cutting off the bottom rung of the
  2178. 1:13:18corporate ladder for the next generation
  2179. 1:13:20of workers.
  2180. 1:13:21>> Correct.
  2181. 1:13:22We have an entire generation that is out
  2182. 1:13:24of college today that will struggle,
  2183. 1:13:26unfortunately.
  2184. 1:13:27And and my advice to them is learn the
  2185. 1:13:29tool, hm? And focus on human-centric
  2186. 1:13:33jobs.
  2187. 1:13:34>> Like what?
  2188. 1:13:35>> Like
  2189. 1:13:36playing jazz.
  2190. 1:13:37>> I mean, not a lot of people can make a
  2191. 1:13:38living from playing playing jazz.
  2192. 1:13:40>> I understand that, but you A lot of
  2193. 1:13:42people can make a living by being a
  2194. 1:13:43nurse or by being a a counselor or by
  2195. 1:13:46being a
  2196. 1:13:48you know um
  2197. 1:13:50anything that that connects to humans.
  2198. 1:13:54>> [snorts]
  2199. 1:13:55>> But I I I just want to constantly come
  2200. 1:13:57back to this.
  2201. 1:13:58None of that has to happen.
  2202. 1:14:01If if there is
  2203. 1:14:04if there really is a democracy
  2204. 1:14:07and the government is supposed to do
  2205. 1:14:09what's good for the people,
  2206. 1:14:10the people need to stop letting this
  2207. 1:14:13from happening.
  2208. 1:14:14>> Which people?
  2209. 1:14:15>> Everyone.
  2210. 1:14:16>> Everyone in China?
  2211. 1:14:18>> China's not going to struggle as much as
  2212. 1:14:20the West. I can guarantee you that.
  2213. 1:14:22>> I think this is the the question people
  2214. 1:14:24come back to is, well, if the US stops,
  2215. 1:14:26then we're going to end up being China's
  2216. 1:14:27lapdog. We're going to end up
  2217. 1:14:28>> You already are. Come on. You are.
  2218. 1:14:30>> that I know that are using Chinese AI
  2219. 1:14:32models to do their work because for
  2220. 1:14:34whatever reason, cuz they're cheaper,
  2221. 1:14:35they're better in some respects.
  2222. 1:14:36>> And because I cannot guarantee what what
  2223. 1:14:38American AI models are going to do to
  2224. 1:14:40me. So Emma and my my startup is running
  2225. 1:14:43literally
  2226. 1:14:44model agnostic. So one day I'll plug in,
  2227. 1:14:49you know, um
  2228. 1:14:51an open AI chat GPT-4 or open source,
  2229. 1:14:54and the next day I'll I'll plug in Deep
  2230. 1:14:56Seek, and I cannot depend I cannot
  2231. 1:14:58guarantee if America continues to build
  2232. 1:15:02to to make compute more expensive. I
  2233. 1:15:04cannot guarantee that I can run a
  2234. 1:15:06business on something that I don't know
  2235. 1:15:08the cost of in the future.
  2236. 1:15:09>> US can't just stop, can they?
  2237. 1:15:12>> They need to change approach from from
  2238. 1:15:15And by the way, the more interesting
  2239. 1:15:16side is
  2240. 1:15:18what are the other economies doing? Like
  2241. 1:15:20is is the UK going to continue to import
  2242. 1:15:23compute?
  2243. 1:15:25Is Is this I mean, welcome to Africa.
  2244. 1:15:27Welcome to the third world.
  2245. 1:15:29>> But this is what I mean. Like so, you're
  2246. 1:15:31you're saying also that the then every
  2247. 1:15:33nation needs to invest.
  2248. 1:15:35>> 100%. Every nation And And it's quite
  2249. 1:15:37interesting. There is so much open
  2250. 1:15:39source that is not the state-of-the-art
  2251. 1:15:42frontier model, but that can do 80% of
  2252. 1:15:45the tasks that the frontier model is
  2253. 1:15:46doing.
  2254. 1:15:47>> But on this point of
  2255. 1:15:48companies competing with each other,
  2256. 1:15:50there's an inherent need to compete here
  2257. 1:15:52and to go That's what I'm hearing is
  2258. 1:15:53like there's an inherent need to go as
  2259. 1:15:54fast as you can, or you will become a
  2260. 1:15:56third-world country.
  2261. 1:15:57>> Sure. 100%.
  2262. 1:15:59>> You're saying that the people should
  2263. 1:16:00stop that.
  2264. 1:16:01>> No, so so I'm saying the people of the
  2265. 1:16:04UK need to go to the UK government and
  2266. 1:16:06say, "How are you protecting the future
  2267. 1:16:09of our economy?" Right? Are you going to
  2268. 1:16:12continue to import technology and to
  2269. 1:16:15empower import of technology versus
  2270. 1:16:18changing your regulations so that
  2271. 1:16:20innovation becomes easier here?
  2272. 1:16:22>> Okay.
  2273. 1:16:22>> So, you I mean, think of it this way.
  2274. 1:16:24That remember that Anthropic bubble when
  2275. 1:16:27when you said the all of the SaaS model
  2276. 1:16:29applications were, you know, being
  2277. 1:16:32basically threatened because anyone can
  2278. 1:16:34build an Oracle ERP today. Right? Why is
  2279. 1:16:38nobody building an Oracle ERP in the UK
  2280. 1:16:40saving the UK massive licenses that go
  2281. 1:16:43to Oracle every year.
  2282. 1:16:44>> Okay, so you're saying that the the
  2283. 1:16:45people should go and ask the government
  2284. 1:16:47to invest more in AI.
  2285. 1:16:48>> 100%. That's what number one. Number two
  2286. 1:16:50is
  2287. 1:16:51>> But then the jobs go.
  2288. 1:16:52>> But but you see the more the most
  2289. 1:16:55interesting job going forward is being
  2290. 1:16:57an entrepreneur.
  2291. 1:16:58Is be is using those tools to replace an
  2292. 1:17:01economy that we've built over trillions
  2293. 1:17:03of dollars over the last 50 years.
  2294. 1:17:06>> But not everyone can be an entrepreneur
  2295. 1:17:07though, can they?
  2296. 1:17:08>> Everyone can be an entrepreneur in
  2297. 1:17:09something.
  2298. 1:17:10>> But those entrepreneurs need to hire
  2299. 1:17:11people.
  2300. 1:17:12>> Mhm, that's a change that I think is
  2301. 1:17:14about to happen.
  2302. 1:17:16>> Like even in my business, I'm always
  2303. 1:17:17going to have to I'm always going to
  2304. 1:17:18have to hire people cuz
  2305. 1:17:18>> But you're but you're a massive
  2306. 1:17:20business. A shoemaker is not an an
  2307. 1:17:22enterprise also an entrepreneur, but not
  2308. 1:17:24a massive business. A little restaurant
  2309. 1:17:26is also an entrepreneur, but it's not a
  2310. 1:17:27massive business.
  2311. 1:17:28>> They still need to hire people though.
  2312. 1:17:29>> They they do, but they you know,
  2313. 1:17:31basically if you're a a cafe with you
  2314. 1:17:34and your wife as baristas, you don't.
  2315. 1:17:37This is also an entrepreneur.
  2316. 1:17:39>> Can economy work in [clears throat] such
  2317. 1:17:40a way where everybody is an
  2318. 1:17:41entrepreneur?
  2319. 1:17:41>> It did it did before. Capitalism changed
  2320. 1:17:43that around.
  2321. 1:17:44>> Everyone was an entrepreneur.
  2322. 1:17:46>> Of course. You know, in the earlier days
  2323. 1:17:48you you raised chicken and sold eggs and
  2324. 1:17:50others, you know, grew tomatoes and and
  2325. 1:17:53so you know, traded them for your eggs.
  2326. 1:17:56That that actually is a very interesting
  2327. 1:17:59thing. Imagine that, huh? Imagine a
  2328. 1:18:01world, mhm, where there is so much power
  2329. 1:18:04concentration at the top
  2330. 1:18:06and UBI for every everybody else.
  2331. 1:18:09How do you think that world will respond
  2332. 1:18:12when all their income is UBI?
  2333. 1:18:14They'll respond by doing things on the
  2334. 1:18:16side. They'll respond by going back to a
  2335. 1:18:18barter economy. They're going back to
  2336. 1:18:19smaller communities. They're going back
  2337. 1:18:21to pop and mom mom's
  2338. 1:18:22shops.
  2339. 1:18:23>> So, the point was that you said this
  2340. 1:18:25doesn't need to happen.
  2341. 1:18:26>> It does not need to happen.
  2342. 1:18:27>> Which is the job loss.
  2343. 1:18:29>> Or the arms race.
  2344. 1:18:30>> But we're telling our governments you're
  2345. 1:18:31saying that to tell the UK government to
  2346. 1:18:33like join the arms race.
  2347. 1:18:35>> I'm I'm telling the UK government to
  2348. 1:18:39to create an independence within the the
  2349. 1:18:43the the UK economy so that they don't
  2350. 1:18:46have to be at the receiving end of
  2351. 1:18:48technology.
  2352. 1:18:49>> Which is join the arms race.
  2353. 1:18:51>> You don't have to compete against anyone
  2354. 1:18:53else. You don't have to be better than
  2355. 1:18:54anyone else. You don't have to You're
  2356. 1:18:56simply saying, "I can build those things
  2357. 1:18:58in my economy now."
  2358. 1:18:59>> But it But I'm never I'm not going to
  2359. 1:19:01use a terrible UK AI
  2360. 1:19:04as a UK person if there's a great US AI.
  2361. 1:19:08I'm going to use the great US AI. So, if
  2362. 1:19:10you don't compete and win, I'm not going
  2363. 1:19:11to use you. That's what, you know
  2364. 1:19:12>> I'm not saying replace the frontier
  2365. 1:19:14models. These are very, as we speak,
  2366. 1:19:16they are these are very
  2367. 1:19:18compute-intensive, their infrastructure
  2368. 1:19:20infra-intensive, and so on. I'm saying
  2369. 1:19:23replace Microsoft Word.
  2370. 1:19:26Seriously, like how much intelligence do
  2371. 1:19:29you need
  2372. 1:19:30to build a software that writes
  2373. 1:19:32documents?
  2374. 1:19:33>> I can do that. Like we We've built our
  2375. 1:19:35own applicant tracking system here.
  2376. 1:19:36We've got We've got build our own
  2377. 1:19:37software.
  2378. 1:19:38>> Just Just ask yourself how much money is
  2379. 1:19:41spent or in the US in the in the UK
  2380. 1:19:43government or in the or in the you know,
  2381. 1:19:47the the UK corporate space on licenses
  2382. 1:19:50of software that you and I can write
  2383. 1:19:52code in 4 minutes.
  2384. 1:19:53>> I'm thinking from the UK's perspective
  2385. 1:19:55cuz you know what's interesting with the
  2386. 1:19:56UK is the the the economy is struggling
  2387. 1:20:00from a growth perspective.
  2388. 1:20:01>> Correct.
  2389. 1:20:01>> And I was watching this documentary the
  2390. 1:20:03other day that was saying the reason why
  2391. 1:20:04we keep throwing our leaders out is
  2392. 1:20:06because actually what they need to do to
  2393. 1:20:09turn the UK around is about six is about
  2394. 1:20:1215 years of pain.
  2395. 1:20:14And it's like it starts with energy
  2396. 1:20:15transformation. We need to get better at
  2397. 1:20:17We need to improve energy cuz we have
  2398. 1:20:18some of the most expensive energy in the
  2399. 1:20:19Western world. We need to build more
  2400. 1:20:22houses, which means that
  2401. 1:20:24we're going to need to centralize
  2402. 1:20:25permitting for building houses, and it
  2403. 1:20:27can't just be local boroughs deciding if
  2404. 1:20:28they keep their farms or not. We're
  2405. 1:20:29going to need to mix Tl;dr, it says that
  2406. 1:20:32there needs to be some painful decisions
  2407. 1:20:34made for the next 15 years. But, the
  2408. 1:20:37problem with our democracy is that when
  2409. 1:20:40people are in power for 4 years, they're
  2410. 1:20:41quite short-termist. They will just talk
  2411. 1:20:43about the boats, the the the brown
  2412. 1:20:44people coming across the seas. They
  2413. 1:20:46don't They don't have the room to think
  2414. 1:20:48long-term. And so, when I'm thinking
  2415. 1:20:49about like what the UK needs to do to
  2416. 1:20:51not become
  2417. 1:20:53to not fall into decline and to keep up,
  2418. 1:20:55I'm trying to get clarity on that with
  2419. 1:20:56as it relates to AI.
  2420. 1:20:59Are you saying that they need to join
  2421. 1:21:01the arms race and double down and invest
  2422. 1:21:03all their money in building
  2423. 1:21:06competitive AI so that people use our
  2424. 1:21:08technology here in the UK versus
  2425. 1:21:10America's? Because the software point
  2426. 1:21:12the UK aren't going to get involved in
  2427. 1:21:13software. I mean, they've tried to build
  2428. 1:21:15software before the UK has a
  2429. 1:21:18>> The world has changed. Two Two points,
  2430. 1:21:19right? One One side is that there needs
  2431. 1:21:21to be an
  2432. 1:21:22a replacement cycle of our investment
  2433. 1:21:23decisions anywhere in the world. Okay?
  2434. 1:21:25So, when you say we don't have enough
  2435. 1:21:27money for, you know, we need to revamp
  2436. 1:21:29our energy infrastructure. When you say
  2437. 1:21:31we need to build more housing, okay?
  2438. 1:21:33One way of doing that is squeezing that
  2439. 1:21:35budget out of other areas. Mhm? The
  2440. 1:21:38other way of doing that is either
  2441. 1:21:39cutting cost in the economy elsewhere so
  2442. 1:21:41that you can redirect that money, or
  2443. 1:21:44growing the economy so that you can have
  2444. 1:21:46more money to build those things.
  2445. 1:21:48Correct? The cutting cost, I believe, is
  2446. 1:21:51There is just I don't have the numbers,
  2447. 1:21:53but we could probably do a run a deep a
  2448. 1:21:55deep search on it.
  2449. 1:21:56Uh
  2450. 1:21:57trillions are being paid in traditional
  2451. 1:22:01systems that are complete like
  2452. 1:22:03genuinely, they can be I'm And by the
  2453. 1:22:06way, I'm not asking the government. I'm
  2454. 1:22:07asking some of the people listening to
  2455. 1:22:09me right now to build an ERP system as a
  2456. 1:22:11a word processor, a
  2457. 1:22:13a presentation player, and a
  2458. 1:22:14spreadsheet.
  2459. 1:22:16Okay? And just go around and spread them
  2460. 1:22:18across the you know, find find retail
  2461. 1:22:21systems, find uh CRM systems. These are
  2462. 1:22:24easy replacements. They're going to be
  2463. 1:22:26better interfaces. They're going to be
  2464. 1:22:28much more effective. Build the general
  2465. 1:22:30ledger using AI so that you can close
  2466. 1:22:32every hour, not every month or every
  2467. 1:22:34quarter.
  2468. 1:22:34>> But the world economy is doing that. So,
  2469. 1:22:37there's some kid in San Francisco now
  2470. 1:22:38that's allowing all of us to use his new
  2471. 1:22:40word for free.
  2472. 1:22:42>> Keep doing that and you're and welcome
  2473. 1:22:44to the to the to the third world.
  2474. 1:22:47>> Keep doing what?
  2475. 1:22:48>> Keep importing all of your tech from
  2476. 1:22:49elsewhere.
  2477. 1:22:50>> But we have we we don't want to be
  2478. 1:22:51uncompetitive. Like if you think about
  2479. 1:22:53if we go to I don't know, North Korea, I
  2480. 1:22:55bet they have way worse
  2481. 1:22:58tools in many areas because they won't
  2482. 1:22:59use external tools and that means that
  2483. 1:23:01they're at a disadvantage.
  2484. 1:23:03So, I I bet they're not allowing their
  2485. 1:23:05civilization to use Gemini or ChatGPT or
  2486. 1:23:08Google. I bet.
  2487. 1:23:09>> For sure.
  2488. 1:23:09>> And they're using something worse.
  2489. 1:23:11>> And you know what what's happening? I
  2490. 1:23:12mean, look at Iran and how advanced they
  2491. 1:23:15became through sanctions by being
  2492. 1:23:18refused to use those technologies. They
  2493. 1:23:19had to build them themselves, right?
  2494. 1:23:21Look at China, hm? Look at Russia,
  2495. 1:23:23[clears throat]
  2496. 1:23:24you know, when I worked at Google, hm?
  2497. 1:23:26Russia was protective of Yandex, the
  2498. 1:23:28competitor of Google, hm? From one side
  2499. 1:23:31because of influence, because they
  2500. 1:23:33didn't want an American organization to
  2501. 1:23:36own the knowledge sharing of of their
  2502. 1:23:38citizens, but on the other side,
  2503. 1:23:39economically, if you if you made it
  2504. 1:23:42difficult for Google to operate freely,
  2505. 1:23:44that by definition meant you had to
  2506. 1:23:47invent a replacement on the ground.
  2507. 1:23:49>> Which was worse.
  2508. 1:23:51>> Yandex is not worse.
  2509. 1:23:53>> I'm saying so, if you think about global
  2510. 1:23:55is global competition going to produce a
  2511. 1:23:56better product than regional
  2512. 1:23:58competition?
  2513. 1:23:59>> It depends on on where in the stack of
  2514. 1:24:02the quality of that product you need to
  2515. 1:24:04be, right? You do not need the ultimate
  2516. 1:24:08I mean, ask yourself this, which version
  2517. 1:24:10of Gemini are you using?
  2518. 1:24:12>> The most recent one. And I'm and I'm
  2519. 1:24:14every day I compete
  2520. 1:24:15>> And that is you. Ask everyone else what
  2521. 1:24:17version of of Gemini they're using. Most
  2522. 1:24:19people will say, "Oh, Gemini has
  2523. 1:24:21versions?" Right? You you don't need the
  2524. 1:24:24ultimate super frontier model Mhm? to do
  2525. 1:24:2890% of the tasks. And most people do
  2526. 1:24:31only 70% of the tasks.
  2527. 1:24:32>> But even so, the world moves with
  2528. 1:24:35whatever's better. So, if you think
  2529. 1:24:37about the reason why we don't use Yahoo
  2530. 1:24:38search,
  2531. 1:24:40Google search is marginally better. It's
  2532. 1:24:42you know, people say it's not it's not a
  2533. 1:24:44thousand times better, but over time we
  2534. 1:24:47move away from AOL to Google because
  2535. 1:24:49it's a better [clears throat] product.
  2536. 1:24:51And there's a slow grid, you know, my
  2537. 1:24:52dad probably still using ChatGPT, but
  2538. 1:24:54when he when I go home for Christmas
  2539. 1:24:56this year and I go, "Dad, you should use
  2540. 1:24:57Gemini." And he starts messing around
  2541. 1:24:58with it, he'll slowly migrate. I'm like
  2542. 1:25:00I'm like a an early adopter, so I bought
  2543. 1:25:034.8 on Claude came out last night. I'm
  2544. 1:25:05on there within honestly within 25
  2545. 1:25:06minutes of the announcement. I'm on the
  2546. 1:25:07topic.
  2547. 1:25:08>> there as soon as I can, but that's you
  2548. 1:25:10and I.
  2549. 1:25:10>> Yeah, and we we are an indicator of
  2550. 1:25:12where the world is going because we're
  2551. 1:25:13at the coalface figuring out what's
  2552. 1:25:15better. And also, I think with
  2553. 1:25:16technology eventually there does become
  2554. 1:25:18the gap between first and second begins
  2555. 1:25:20to widen.
  2556. 1:25:22I think we're in a bit of a race at the
  2557. 1:25:23moment, but I think
  2558. 1:25:24it is a bit of a winner takes all
  2559. 1:25:26situation with these frontier models.
  2560. 1:25:29>> I think we're talking about two
  2561. 1:25:31um bits of technology. Okay?
  2562. 1:25:34Tell me how far has PowerPoint advanced
  2563. 1:25:37since 2023?
  2564. 1:25:39They added Copilot. Anything else?
  2565. 1:25:42>> So, you're saying that the UK should
  2566. 1:25:43build their own PowerPoint?
  2567. 1:25:45>> For sure. There is
  2568. 1:25:46What I'm trying to say is that from a
  2569. 1:25:48licensing point of view, Mhm? just
  2570. 1:25:50licensing of software within government
  2571. 1:25:52alone,
  2572. 1:25:54how much money is is being repatriated?
  2573. 1:25:57>> UK tried to build their own Do you know
  2574. 1:25:58they tried to build their own COVID app
  2575. 1:26:00and it cost them I think Okay, and these
  2576. 1:26:02number numbers will be wrong, but
  2577. 1:26:03they're like directionally true. Cost
  2578. 1:26:04them 70 million to build a COVID app
  2579. 1:26:06that didn't work.
  2580. 1:26:08And so, they can do it.
  2581. 1:26:09>> I remember. They I'm asking I'm asking a
  2582. 1:26:12UK entrepreneur
  2583. 1:26:13>> Yeah.
  2584. 1:26:14>> Mhm? to wake up tomorrow and say, "All
  2585. 1:26:16right, you know what? Between coffee and
  2586. 1:26:18my my cookie, I'm going to build a
  2587. 1:26:21PowerPoint and go sell it."
  2588. 1:26:22>> Yeah, they will, and they'll go to San
  2589. 1:26:23Francisco where the money is and the
  2590. 1:26:25talent.
  2591. 1:26:26>> Yeah, my
  2592. 1:26:26>> won't be able to compete. They'll get
  2593. 1:26:28crushed tomorrow. So, if they don't go
  2594. 1:26:30where the talent and money is, I'm not
  2595. 1:26:31saying that they'll they all have to go
  2596. 1:26:33to America, but I'm saying what they
  2597. 1:26:35will do if they want to produce the best
  2598. 1:26:37product is they'll make rational
  2599. 1:26:38entrepreneurial decisions about
  2600. 1:26:41um where to sell it, um where there is
  2601. 1:26:44money, where they're going to get the
  2602. 1:26:45best talent.
  2603. 1:26:46And I think if they don't make those
  2604. 1:26:49com- you [clears throat] know,
  2605. 1:26:49competitively minded decisions, they're
  2606. 1:26:51not going to make the better product,
  2607. 1:26:52they're not going to get any users.
  2608. 1:26:54Users Users will go where it's better
  2609. 1:26:57and where it's
  2610. 1:26:58cheaper. They won't They won't say, "Oh,
  2611. 1:27:00I want to use this because it's from
  2612. 1:27:01Cornwall."
  2613. 1:27:02>> Yeah, what's I'm I'm with you, right?
  2614. 1:27:04That this actually might be the big
  2615. 1:27:08corporate thought, think, okay? And I'm
  2616. 1:27:11with you that of course the
  2617. 1:27:13infrastructure here of building a
  2618. 1:27:14startup is so way more complex than it
  2619. 1:27:17is in other places where startups
  2620. 1:27:19succeed, okay? I'm saying if we continue
  2621. 1:27:23on that trajectory, whether in the UK or
  2622. 1:27:25in Germany or in, you know,
  2623. 1:27:28uh Zanzibar, welcome to Africa. All of
  2624. 1:27:31us, everyone but the two competitors,
  2625. 1:27:34China and and America, is going to be
  2626. 1:27:37third world.
  2627. 1:27:39So, when you talk about job losses for
  2628. 1:27:41individuals, that's one side, okay? But
  2629. 1:27:45But nation
  2630. 1:27:47positioning losses, which I think Europe
  2631. 1:27:49has noticed recently, hm? is about to
  2632. 1:27:52happen everywhere. And why? Because
  2633. 1:27:55you're saying, "Hey, you know what?
  2634. 1:27:56Maybe we can't do it."
  2635. 1:27:58Why can't China do it? Why can't Korea
  2636. 1:28:00do it? is
  2637. 1:28:02not because they have different natural
  2638. 1:28:05resources or not because they are, you
  2639. 1:28:07know, in a place where it's warmer, it's
  2640. 1:28:09because their regulations, their their
  2641. 1:28:13ambitions are to empower something
  2642. 1:28:15different than debating about, you know,
  2643. 1:28:18rail railway lines or
  2644. 1:28:20>> They have a couple of big advantages
  2645. 1:28:22that I was reading about. One of them is
  2646. 1:28:23they they have way cheaper energy.
  2647. 1:28:25Which means that they're going to be
  2648. 1:28:26able to pursue
  2649. 1:28:28>> Why, may I ask?
  2650. 1:28:29>> Because they've invested in solar power,
  2651. 1:28:31renewable energy, because they don't
  2652. 1:28:33care about they
  2653. 1:28:33>> This is, by the way, I say that
  2654. 1:28:34publicly. I say that the arms race of AI
  2655. 1:28:37was won a long time ago.
  2656. 1:28:38>> And then the other thing is, in terms of
  2657. 1:28:40permitting, if you want to build a data
  2658. 1:28:42center in the UK, listen, if you want to
  2659. 1:28:43like open a cafe in the UK, you're going
  2660. 1:28:46to it's going to be war for you. If you
  2661. 1:28:47want to do that in California, this is
  2662. 1:28:48where everyone's left California. Like,
  2663. 1:28:50when I took this office in California
  2664. 1:28:51recently, I was like, "So, how long is
  2665. 1:28:52it going to take for me to renovate
  2666. 1:28:53this?" And the agent looked at me and
  2667. 1:28:55was like,
  2668. 1:28:56"To renovate my own office, it's going
  2669. 1:28:58to take me a year."
  2670. 1:29:00And it's permitting. To renovate my own
  2671. 1:29:01office
  2672. 1:29:02>> Mhm.
  2673. 1:29:02>> in California.
  2674. 1:29:03>> Mhm.
  2675. 1:29:04>> So, if you're competing with China,
  2676. 1:29:05where President Xi just goes, "Put that
  2677. 1:29:08there, and you've got 7 days."
  2678. 1:29:10>> No, no, no, no, that's not only that.
  2679. 1:29:11So, I I used to be one of the very few
  2680. 1:29:14Google executives around allowed into
  2681. 1:29:16government meetings in China, simply
  2682. 1:29:19because I'm from emerging markets, so I
  2683. 1:29:20understand respect, basically. I would
  2684. 1:29:22say it's to sit there, not as if I'm
  2685. 1:29:25superior to them, but as as if I'm
  2686. 1:29:27really interested to learn from them.
  2687. 1:29:29And genuinely, Stephen, when when when I
  2688. 1:29:32would sit in those meetings, all in
  2689. 1:29:34Chinese,
  2690. 1:29:35they would show slides Mhm? That have
  2691. 1:29:38competitive market share. So, they'd
  2692. 1:29:40say, you know, it's not like uh China is
  2693. 1:29:44this, America is this, Germany is this
  2694. 1:29:46from market share point of view. It was
  2695. 1:29:48China versus the world.
  2696. 1:29:50>> Mhm.
  2697. 1:29:50>> Right? [clears throat] And when they
  2698. 1:29:51would decide to go for something, 5G, uh
  2699. 1:29:54you know, uh Internet of Things, all of
  2700. 1:29:56that stuff, they would aim for 98%
  2701. 1:29:58market share.
  2702. 1:30:00>> Yeah.
  2703. 1:30:00>> Right? And and they get there. I mean,
  2704. 1:30:02look at how what how they did electric
  2705. 1:30:04cars.
  2706. 1:30:04>> Yeah.
  2707. 1:30:05>> And and and am I
  2708. 1:30:07my question is very simple. Now, we've
  2709. 1:30:09spoken so much about AI. My question is
  2710. 1:30:13are the people of the West going to
  2711. 1:30:14wait?
  2712. 1:30:15>> So, this is an interesting conundrum cuz
  2713. 1:30:17it sounds to me like you're saying on
  2714. 1:30:19one end, if we don't join this AI race,
  2715. 1:30:22then we're a third world country. But on
  2716. 1:30:25the other end, if we continue this sort
  2717. 1:30:27of thoughtless race towards AGI,
  2718. 1:30:31there's going to be catastrophe at some
  2719. 1:30:33point.
  2720. 1:30:34>> is somewhere in the middle where
  2721. 1:30:35basically you join the AI AI race for
  2722. 1:30:38the good of your community.
  2723. 1:30:40Okay? So, so there is resignation on one
  2724. 1:30:43side is like I'm not going to play this
  2725. 1:30:44game at all. There is a offense on the
  2726. 1:30:48other side where I'm playing this game
  2727. 1:30:50to destroy everyone else. And there is a
  2728. 1:30:53balance in the middle where we say we're
  2729. 1:30:55going to build an ethical form of AI
  2730. 1:30:57that's going to help our communities.
  2731. 1:30:59We're going to use this ultimate gift,
  2732. 1:31:01this ultimate superpower, right?
  2733. 1:31:04Superman landed on the planet, raise it
  2734. 1:31:07to help your community.
  2735. 1:31:08>> Is that wishful thinking to some degree
  2736. 1:31:10when you when you think about the the
  2737. 1:31:11nature of sort of compa- competition?
  2738. 1:31:13>> I don't know how what how to tell you
  2739. 1:31:15otherwise. I genuinely believe most, I
  2740. 1:31:19mean, here I genuinely believe it's
  2741. 1:31:21going to be very difficult to make that
  2742. 1:31:23change. Okay? I genuinely believe that
  2743. 1:31:26it's going to be that when the
  2744. 1:31:28challenges of an AI dystopia hits us,
  2745. 1:31:30we're not going to be ready. But I can't
  2746. 1:31:32stop talking about it, Stephen. Do Do
  2747. 1:31:34you understand where I stand with this?
  2748. 1:31:36I I just am hoping, and I tried so hard.
  2749. 1:31:41I spoke to the leadership. Then I spoke
  2750. 1:31:43like one of the things that my Atlantic
  2751. 1:31:46Productions who helped me with the film
  2752. 1:31:48helped, you know, did for me which I
  2753. 1:31:50have to say
  2754. 1:31:51completely I am very appreciative of
  2755. 1:31:54this. As you know through our
  2756. 1:31:55conversations or throughout the last few
  2757. 1:31:57years that I tended to at a point in
  2758. 1:32:01time lose hope in the leadership
  2759. 1:32:03>> Mhm.
  2760. 1:32:04and basically try to influence the
  2761. 1:32:06public for ethical AI. Okay? And my
  2762. 1:32:10conversation was that the leadership at
  2763. 1:32:12the time was the technical leadership
  2764. 1:32:14and that everyone was so caught up in
  2765. 1:32:16the arms race that I wanted to teach the
  2766. 1:32:18public to help us build ethical AI. And
  2767. 1:32:21I continue to focus on the public, the
  2768. 1:32:22everyone of us, but suddenly Atlantic
  2769. 1:32:25goes, "No, no, hold on. We should
  2770. 1:32:27probably get you to meet the political
  2771. 1:32:29leaders everywhere in the world and
  2772. 1:32:31hopefully give them a message that says,
  2773. 1:32:33'Hey, you know what? You may actually
  2774. 1:32:35make a difference if you prioritize AI
  2775. 1:32:37differently, right?'" Do I believe this
  2776. 1:32:40will happen? Sadly, no. But does that
  2777. 1:32:42mean I should stop trying?
  2778. 1:32:44I cannot stop trying.
  2779. 1:32:46>> This has had probably the single biggest
  2780. 1:32:49impact on my office. Of all the products
  2781. 1:32:51that I've tried that have given me
  2782. 1:32:53productivity gains or cognitive boosts,
  2783. 1:32:55I would say that exogenous ketones are
  2784. 1:32:58in the top three most pivotal things
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  2793. 1:33:17clinical studies that have been done on
  2794. 1:33:18exogenous ketones have absolutely blown
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  2810. 1:33:48I've done almost 700 interviews with
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  2813. 1:33:53learn, which is unexpected, is that
  2814. 1:33:55vulnerability is the doorway to
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  2818. 1:34:03leave, what I get them to do is to write
  2819. 1:34:06a question in the Diary of a CEO. We've
  2820. 1:34:09taken all of the questions from the
  2821. 1:34:11Diary of a CEO. We have put the question
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  2823. 1:34:17person that wrote it. So, you can sit at
  2824. 1:34:18home as I do with my fiance and my
  2825. 1:34:20colleagues at work and other people in
  2826. 1:34:22my life, whenever we get a minute, we
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  2830. 1:34:30romantic relationship and you want to
  2831. 1:34:32connect your partner more. These are
  2832. 1:34:33also great if you're in a team and you
  2833. 1:34:35want to bond your team together. And I
  2834. 1:34:37have to say they're also great for
  2835. 1:34:38families that want to learn more about
  2836. 1:34:39each other and that need a good excuse
  2837. 1:34:41to spend some time in a digital world in
  2838. 1:34:44the analog environment connecting human
  2839. 1:34:47to human. It is remarkable what the
  2840. 1:34:49right question at the right time can do.
  2841. 1:34:52Go to thediary.com
  2842. 1:34:54and you can get these conversation cards
  2843. 1:34:56right now.
  2844. 1:34:57When I have these conversations about
  2845. 1:34:58AI, what I'm trying to do all the time
  2846. 1:35:00is to pass out what is like wishful
  2847. 1:35:02thinking and then what is reality. And
  2848. 1:35:03like what to understand reality, you
  2849. 1:35:05have to understand
  2850. 1:35:07competition, you have to understand
  2851. 1:35:08human emotion, you have to understand
  2852. 1:35:10incentive structures. And so you think
  2853. 1:35:12about something like the United States
  2854. 1:35:13at the moment where you've got Donald
  2855. 1:35:14Trump whose sort of primary driving
  2856. 1:35:17incentive is GDP growth, economy growth,
  2857. 1:35:20does that stock market go up, beat
  2858. 1:35:21China. So, if you all agree that that's
  2859. 1:35:23like his like the core of his incentive
  2860. 1:35:25structure, then you've got President Xi
  2861. 1:35:27over here whose prob- his incentive
  2862. 1:35:28structure is probably control or
  2863. 1:35:31independence,
  2864. 1:35:32um defense. So, that they, you know,
  2865. 1:35:35they need to make sure they they do well
  2866. 1:35:36on the weapon side. When you look at And
  2867. 1:35:38then you've got these like other nations
  2868. 1:35:39like the UK and Europe and these other
  2869. 1:35:41places who are kind of it seems like
  2870. 1:35:44we're a bit resigned to the fact that
  2871. 1:35:45we're not going to participate in the
  2872. 1:35:47underlying tech- underlying mo- models
  2873. 1:35:50building cuz we just don't have it
  2874. 1:35:51together. We don't have the energy. You
  2875. 1:35:53know
  2876. 1:35:54And you go in such a world
  2877. 1:35:56you go ethical AI, what who's going to
  2878. 1:35:59who's going to prioritize ethical AI? I
  2879. 1:36:01mean anybody that does is is might fall
  2880. 1:36:04behind theoretically. Is that
  2881. 1:36:06So I wonder where the fault in the
  2882. 1:36:07thinking is here. Like what how do we
  2883. 1:36:09get to a point of ethical AI when the
  2884. 1:36:11incentive structures are so clearly
  2885. 1:36:13highly competitive
  2886. 1:36:15and arguably a little bit short-term.
  2887. 1:36:20in their thinking.
  2888. 1:36:21>> Yeah.
  2889. 1:36:23So what are you saying? We lie down and
  2890. 1:36:25wait?
  2891. 1:36:25>> No, I just don't know. I just don't have
  2892. 1:36:27a an answer, honestly.
  2893. 1:36:28>> Correct. That's why we keep talking
  2894. 1:36:30That's why we keep talking about it.
  2895. 1:36:31>> Yeah.
  2896. 1:36:32>> And that's why I keep spending 14 hours
  2897. 1:36:34a day trying to tell the world because
  2898. 1:36:35some genius somewhere is going to find
  2899. 1:36:37an answer.
  2900. 1:36:38But the way it's going
  2901. 1:36:40>> Right now, I guess what we're pursuing
  2902. 1:36:41is we're hoping that Chat GPT and
  2903. 1:36:43Anthropic and these and Grok and we're
  2904. 1:36:45hoping that they just build ethical
  2905. 1:36:47models. And we're hoping that social
  2906. 1:36:48pressure
  2907. 1:36:49forces them into making good decisions.
  2908. 1:36:52>> Correct. We we need to be able to vote
  2909. 1:36:54with our usage.
  2910. 1:36:55Right? So so I think one of the biggest
  2911. 1:36:58movements in AI since we started was the
  2912. 1:37:01idea that so many people switched away
  2913. 1:37:03from Chat GPT when they approved that
  2914. 1:37:04their model can target people.
  2915. 1:37:06Right? So many people I know at least
  2916. 1:37:08said
  2917. 1:37:09>> Target people?
  2918. 1:37:10>> I mean Anthropic refused to have to to
  2919. 1:37:12>> Do you think people switched?
  2920. 1:37:14>> I think many have. I think ones that are
  2921. 1:37:16aware did.
  2922. 1:37:17>> Hm.
  2923. 1:37:17>> Right? And I think they did because the
  2924. 1:37:19cost of switching is really I mean
  2925. 1:37:21honestly Anthropic is is better if you
  2926. 1:37:23think about it.
  2927. 1:37:24>> Yeah, I think it's better.
  2928. 1:37:25>> Yeah, but the idea is if people don't
  2929. 1:37:27switch for those ethical reasons
  2930. 1:37:31So you know everyone of my books has
  2931. 1:37:33this dedication at the beginning. It
  2932. 1:37:34used to be the gravity of the battle
  2933. 1:37:36means nothing to those at peace when I
  2934. 1:37:38when I wrote in memory of Ali at the
  2935. 1:37:39beginning.
  2936. 1:37:41My next book the
  2937. 1:37:42alive.
  2938. 1:37:44Do you remember a song called the
  2939. 1:37:47Well, it they were called the Manic
  2940. 1:37:48Street Preachers.
  2941. 1:37:51>> Oh, yeah.
  2942. 1:37:51>> Yeah, if you tolerate this, then your
  2943. 1:37:53children will be next.
  2944. 1:37:55>> Mhm.
  2945. 1:37:55>> I [clears throat] genuinely believe that
  2946. 1:37:57what the world needs to wake up to is if
  2947. 1:38:00you tolerate this, then your children
  2948. 1:38:01will be next. If you continue to resign,
  2949. 1:38:04if you continue to say I'm not going to
  2950. 1:38:06try,
  2951. 1:38:07>> Mhm.
  2952. 1:38:08>> this world is going to change in a way
  2953. 1:38:09that is completely not for in your
  2954. 1:38:11favor.
  2955. 1:38:12>> Try what?
  2956. 1:38:13>> Try to to to stand up and say something
  2957. 1:38:16needs to change.
  2958. 1:38:18>> Okay. We can say something needs to
  2959. 1:38:20change, but we can't say what that thing
  2960. 1:38:21is.
  2961. 1:38:22>> What needs to change is governments need
  2962. 1:38:24to serve mhm their people, not their
  2963. 1:38:27interests, and corporates need to work
  2964. 1:38:31for the benefit of benefit of their
  2965. 1:38:33societies before their shareholders.
  2966. 1:38:36This this run that we had with
  2967. 1:38:38capitalism so far,
  2968. 1:38:40mhm has benefited the world
  2969. 1:38:43tremendously.
  2970. 1:38:44>> Whose economy do you think is going to
  2971. 1:38:46be in a better place for the middle
  2972. 1:38:47class
  2973. 1:38:48>> sure.
  2974. 1:38:48>> out of the say the UK and the United
  2975. 1:38:50States?
  2976. 1:38:51>> The UK's gone.
  2977. 1:38:52>> It's gone because what in part because
  2978. 1:38:54it didn't compete?
  2979. 1:38:55>> Because you're an older bureaucracy that
  2980. 1:38:58is burdened down by so much
  2981. 1:39:02barriers on the in the process of
  2982. 1:39:05building anything.
  2983. 1:39:06Right? Because the US economy in the
  2984. 1:39:09past welcomed people like me to go and
  2985. 1:39:13live in California mhm and build amazing
  2986. 1:39:17Right? That is no longer the case. So,
  2987. 1:39:19who is going to win? In my view, it's
  2988. 1:39:20definitely China.
  2989. 1:39:23And by the way, you asked for the middle
  2990. 1:39:25class.
  2991. 1:39:25>> So, so China
  2992. 1:39:26>> made decisions recently that forced
  2993. 1:39:29businesses not to lay people off in
  2994. 1:39:31replacement to be replacing them with
  2995. 1:39:32AI. Would Would Would the West do that?
  2996. 1:39:35The capitalist what West would never do
  2997. 1:39:37that.
  2998. 1:39:38Oh, we don't know the answer. I don't
  2999. 1:39:40know the answer. I'm responding to your
  3000. 1:39:41>> Yeah. You can see the conundrum I find
  3001. 1:39:43myself in, which is a a state like a
  3002. 1:39:45country like the UK
  3003. 1:39:47is, in your words, gone because
  3004. 1:39:50it didn't
  3005. 1:39:52compete. It didn't allow people to be
  3006. 1:39:54highly entrepreneurial. It didn't
  3007. 1:39:56empower
  3008. 1:39:57entrepreneurialism, innovation,
  3009. 1:39:59ingenuity. At some in some way
  3010. 1:40:02it stood in their way in some in some
  3011. 1:40:04way. Now, that could be incentives, it
  3012. 1:40:05could be culture, it could be whatever.
  3013. 1:40:07>> Yeah, I know where you're going with
  3014. 1:40:08this.
  3015. 1:40:08>> The US didn't so they have have a
  3016. 1:40:11economy which is arguably
  3017. 1:40:14more productive and um
  3018. 1:40:19future-proofed than ours.
  3019. 1:40:22By way of that, they are also
  3020. 1:40:25more advanced in artificial
  3021. 1:40:27intelligence.
  3022. 1:40:29And we are gone. So, the remedy for a
  3023. 1:40:31country like us would be therefore to
  3024. 1:40:33compete. To compete, let the reins off,
  3025. 1:40:35let entrepreneur in ingenuity, but then
  3026. 1:40:38we're saying that's dangerous.
  3027. 1:40:39>> And your conundrum in that is that
  3028. 1:40:41you're assuming that entrepreneurship by
  3029. 1:40:42definition is malicious.
  3030. 1:40:45>> No, I'm just I'm just saying that
  3031. 1:40:47there's a bit of a paradox like
  3032. 1:40:49you're damned if you don't, you're
  3033. 1:40:50damned if you do.
  3034. 1:40:51>> But you're not damned if you build
  3035. 1:40:53things for for the people, not for the
  3036. 1:40:56capitalist. This is an ideological
  3037. 1:40:58>> Yeah, I pray and hope that that's that
  3038. 1:41:00is
  3039. 1:41:01plausible, but I'm I'm worried that in a
  3040. 1:41:04competitive market whoever's optimizing
  3041. 1:41:07for
  3042. 1:41:08I don't know, you can name it.
  3043. 1:41:10Retention. If I If we built two AIs,
  3044. 1:41:13right? I'm going to call them the
  3045. 1:41:14mogul.ai and I'm going to call the other
  3046. 1:41:16one the evil AI. The evil AI it's
  3047. 1:41:19programmed to retain you. It's
  3048. 1:41:21sycophantic, it says what you need to
  3049. 1:41:23hear. It It's super smart and because of
  3050. 1:41:26that even though it's not trading in
  3051. 1:41:28your your best interests
  3052. 1:41:31it it's retaining you more. You're using
  3053. 1:41:33it more often. It's programmed for that,
  3054. 1:41:34kind of like the social networks are.
  3055. 1:41:36They're all just trying to like dopamine
  3056. 1:41:38your brain into oblivion. Then there's
  3057. 1:41:40the Mo AI that tells you to log off
  3058. 1:41:42you've had enough. It thinks about your
  3059. 1:41:44mental you well-being. Because it's less
  3060. 1:41:46retentive and less engaging,
  3061. 1:41:48theoretically, it might be less
  3062. 1:41:49successful
  3063. 1:41:50as a commercial product. Think about
  3064. 1:41:52social networks, the ones that are least
  3065. 1:41:55retentive, the ones that actually won't
  3066. 1:41:57um destroy your brain with dopamine, the
  3067. 1:41:58ones that remove the retweet button, the
  3068. 1:42:00ones that don't have um slot
  3069. 1:42:02machine-like videos, they don't survive.
  3070. 1:42:05>> I share this with you and my my point of
  3071. 1:42:08view is that your to summarize your
  3072. 1:42:10challenge here, you're basically saying
  3073. 1:42:13that it's easier to become successful if
  3074. 1:42:16you don't follow ethical rules.
  3075. 1:42:18>> I'm asking the question if you build an
  3076. 1:42:21AI that is just purely focused on
  3077. 1:42:23ethical, will it be as engaging and have
  3078. 1:42:26the same usage as one built with the
  3079. 1:42:28reins off?
  3080. 1:42:29>> Uh no.
  3081. 1:42:31>> It won't.
  3082. 1:42:31>> Yeah, but that's but that's the problem
  3083. 1:42:34humanity needs to solve
  3084. 1:42:36>> Okay.
  3085. 1:42:36>> if we were to survive. Example, I worked
  3086. 1:42:39in a company called Google that
  3087. 1:42:41basically at a point in time decided
  3088. 1:42:44that ads will be effective.
  3089. 1:42:46>> Yeah.
  3090. 1:42:47>> The ad industry prior to Google was 50%
  3091. 1:42:50of your bad budget doesn't work, we just
  3092. 1:42:52don't know which 50%. Remember that?
  3093. 1:42:54>> Yeah.
  3094. 1:42:54>> Right? And and Google came in and
  3095. 1:42:56struggled from 1998 until
  3096. 1:42:592004 when they started to turn prob-
  3097. 1:43:01probably, you know,
  3098. 1:43:03uh plausible revenues as a result of
  3099. 1:43:05saying, "We're going to run a Dutch
  3100. 1:43:07auction and we're going to give you
  3101. 1:43:08paper click and we're going to show you
  3102. 1:43:10results for your ads." Okay? They found
  3103. 1:43:13a way for ethics
  3104. 1:43:15Mhm? uh to actually get your money to be
  3105. 1:43:18effective rather than just take your
  3106. 1:43:20money and say 50% doesn't work. Mhm?
  3107. 1:43:23They found a way to make that their
  3108. 1:43:24success criteria. There must be a way
  3109. 1:43:26for us
  3110. 1:43:28I don't know what it is. If I knew, I
  3111. 1:43:29would be building it instead of sitting
  3112. 1:43:30with you, right? But there must be a way
  3113. 1:43:33for us to marry the success of humanity
  3114. 1:43:36with the success of the entrepreneur.
  3115. 1:43:39Right? And And that way is not found in
  3116. 1:43:41the old ways of doing things.
  3117. 1:43:43>> I've got an idea.
  3118. 1:43:45Maybe, you know, what the
  3119. 1:43:48Claude 4.8 came out yesterday, which is
  3120. 1:43:49one of the big AI models, the new one.
  3121. 1:43:52And when they release the models, they
  3122. 1:43:53show these like graphs of the
  3123. 1:43:55benchmarks. What they mean by this is
  3124. 1:43:56what it's capable of. They show how it
  3125. 1:43:58performed in maths, in science, in
  3126. 1:44:00writing, reasoning, etc. It is all
  3127. 1:44:02marginal at this point. But my my idea
  3128. 1:44:04is could there be
  3129. 1:44:06an ethical benchmark that all these
  3130. 1:44:08models have to pass before these large
  3131. 1:44:10companies can legally deploy them. And I
  3132. 1:44:13was thinking about like, again, every
  3133. 1:44:15idea has unintended consequences, which
  3134. 1:44:16I haven't thought through. But would it
  3135. 1:44:18be very interesting that when they
  3136. 1:44:19release these models, they also release
  3137. 1:44:21the ethical benchmarks? I we tried to
  3138. 1:44:23get it to X, we tried to get it to Y, we
  3139. 1:44:25tried to get it to Z. And here's how it
  3140. 1:44:27performed against the ethical
  3141. 1:44:27benchmarks. That gives some kind of
  3142. 1:44:29standard for governments to say, "You're
  3143. 1:44:30not allowed to release a new model
  3144. 1:44:32unless it passes independent tested
  3145. 1:44:34ethical benchmarks."
  3146. 1:44:35>> Beautiful.
  3147. 1:44:36That would absolutely work. But I I
  3148. 1:44:38noticed, by the way, those are out there
  3149. 1:44:40already.
  3150. 1:44:41Okay? But But in a very interesting way.
  3151. 1:44:43You listen to Demis Hassabis hm and how
  3152. 1:44:46much he invests heavily in building
  3153. 1:44:49AlphaFold or building, you know, uh
  3154. 1:44:52um um so many scientific applications of
  3155. 1:44:55AI. And you go like, "This guy cares
  3156. 1:44:58about science."
  3157. 1:44:59I can't I can't prove that, right? Uh
  3158. 1:45:02but I I I you know, I've I've met uh
  3159. 1:45:04Demis a couple of times. I I know
  3160. 1:45:06genuinely that he is an ethical person,
  3161. 1:45:08right? But the typical person will
  3162. 1:45:11probably say, "But at least it seems
  3163. 1:45:13that they're doing things for free to
  3164. 1:45:15serve science." You look at uh you know,
  3165. 1:45:17at Anthropic and they refuse to use
  3166. 1:45:20their model to to uh allow the US
  3167. 1:45:22government to target and to spy on
  3168. 1:45:24people. And then you see OpenAI uh
  3169. 1:45:27accepting a $500 million deal that
  3170. 1:45:30absolutely does that. It is about time
  3171. 1:45:33that every person in the world says, "In
  3172. 1:45:35that case, I am no longer going to use
  3173. 1:45:39Open AI until they show me another, you
  3174. 1:45:41know, another evidence that they are
  3175. 1:45:43actually ethical in their behavior."
  3176. 1:45:46Right? And this is the decision that you
  3177. 1:45:48and I can do.
  3178. 1:45:50Right?
  3179. 1:45:51>> People don't though, do they?
  3180. 1:45:52>> But that's my task. My task and yours is
  3181. 1:45:54to keep telling them, "People, please
  3182. 1:45:57please understand that if you tolerate
  3183. 1:45:59this, then your children will be next.
  3184. 1:46:01Please understand that if you don't
  3185. 1:46:03start to take an ethical stand on your
  3186. 1:46:05own future, your future will be handed
  3187. 1:46:08over to another oligarch just like your
  3188. 1:46:11past was handed over to social media
  3189. 1:46:13oligarchs."
  3190. 1:46:14>> One would say being being at the
  3191. 1:46:15commencement speech is a good example of
  3192. 1:46:18how public awareness can have a real
  3193. 1:46:21impact on
  3194. 1:46:23this trajectory, but I still think at
  3195. 1:46:27the end of the day, if you think about
  3196. 1:46:29things like smartphone usage in schools,
  3197. 1:46:31at the end of the day, it does come down
  3198. 1:46:34to
  3199. 1:46:35government intervention and saying, "You
  3200. 1:46:37know what? We're going to ban
  3201. 1:46:3714-year-olds from scrolling Tik Tok."
  3202. 1:46:40And that's in in part because people
  3203. 1:46:42spoke louder and louder and louder. They
  3204. 1:46:43went on podcasts. Jonathan Haidt, who
  3205. 1:46:45wrote the book about The Anxious
  3206. 1:46:47Generation, started a conversation, and
  3207. 1:46:49that conversation led to legislation. I
  3208. 1:46:50still think it ends in like some kind of
  3209. 1:46:53constraint legally.
  3210. 1:46:55>> I hope, okay? But I will openly tell you
  3211. 1:46:58most of the tech oligarchs are more
  3212. 1:47:00powerful than your government.
  3213. 1:47:01>> Is there any precedents in history where
  3214. 1:47:04this kind of change happened without
  3215. 1:47:07government intervention?
  3216. 1:47:08>> French Revolution.
  3217. 1:47:10>> So, I was thinking about things like
  3218. 1:47:12climate change, even you could say
  3219. 1:47:14smoking.
  3220. 1:47:16All these kinds of things have had to be
  3221. 1:47:18like
  3222. 1:47:20taxes and
  3223. 1:47:21>> Stephen, I'm I'm with you. If
  3224. 1:47:23governments intervene, we wouldn't have
  3225. 1:47:25a problem. Governments won't intervene
  3226. 1:47:27because governments are owned by the
  3227. 1:47:29oligarchs.
  3228. 1:47:30Right? So, my question for everyone
  3229. 1:47:33listening to us is are you going to
  3230. 1:47:34intervene?
  3231. 1:47:35>> What can we do to change that?
  3232. 1:47:37>> If that's what you can do, it's fine. If
  3233. 1:47:38not, then go ahead and start a a startup
  3234. 1:47:41that that that that does something. If
  3235. 1:47:43you're if that's not within your
  3236. 1:47:44capability, then send a message to your
  3237. 1:47:46congressman. If that's not within your
  3238. 1:47:47capability, then say something uh
  3239. 1:47:51ethical online so that the world
  3240. 1:47:53understands a position that needs to be
  3241. 1:47:54opening the eyes. If that doesn't work
  3242. 1:47:57for you, at least don't engage in stuff
  3243. 1:47:58that is negative that you don't know
  3244. 1:48:00enough about. There are so many little
  3245. 1:48:02actions. If humanity starts to move in
  3246. 1:48:04the direction of one saying ethics
  3247. 1:48:06matter, not just profit, okay? And two,
  3248. 1:48:09saying I'm not going to participate in
  3249. 1:48:11something that's unethical just because
  3250. 1:48:13I believe I want to, you know, I feel
  3251. 1:48:16like it right now, okay? If I tell you
  3252. 1:48:18the number of things I took out of my
  3253. 1:48:20life, hm? Just to try and affect a tiny
  3254. 1:48:24bit of change of revenues that go to
  3255. 1:48:26bullets.
  3256. 1:48:27If I tell you the number of things.
  3257. 1:48:29>> I think there's two central concerns
  3258. 1:48:31I've always had, which is I do feel that
  3259. 1:48:32there's going to be significant job
  3260. 1:48:33disruption, and I don't think society's
  3261. 1:48:35prepared for it yet, and I don't know
  3262. 1:48:36what that preparation looks like, but I
  3263. 1:48:38think we should start thinking about it.
  3264. 1:48:40Um
  3265. 1:48:41>> I shared this with you. I you know, I
  3266. 1:48:43genuinely believe that if we continue on
  3267. 1:48:46where we are, there's no hope
  3268. 1:48:49in the trajectory of where humanity has
  3269. 1:48:51become. Hm? So distracted, hm? So
  3270. 1:48:56resigned to inaction, so um
  3271. 1:49:00so disconnected from their own rights of
  3272. 1:49:03freedom of expression and engagement and
  3273. 1:49:05so on, I think we have no hope.
  3274. 1:49:09Do we want to stay there? That's a
  3275. 1:49:10question that I'm asking our listeners.
  3276. 1:49:13And I'm not saying be violent or get up
  3277. 1:49:15or, you know, go be angry or whatever.
  3278. 1:49:17I'm just saying, take one little action.
  3279. 1:49:19Ask yourself, please write it in the
  3280. 1:49:21comments, one little action.
  3281. 1:49:23One little action that you're going to
  3282. 1:49:25do today that's going to make the world
  3283. 1:49:26a little better tomorrow. And don't give
  3284. 1:49:28up on humanity, Steven. I
  3285. 1:49:30I'm not saying you do, but I'm I'm
  3286. 1:49:32saying we are going through such a
  3287. 1:49:34difficult time
  3288. 1:49:35in humanity's history
  3289. 1:49:38that for the very first time ever, hm?
  3290. 1:49:41We have to do something about it. I
  3291. 1:49:43don't want my daughter
  3292. 1:49:46to be at the receiving end of what
  3293. 1:49:47happened to my son. I don't I don't I
  3294. 1:49:49genuinely I lost Ilya. I don't want to
  3295. 1:49:51lose Aya.
  3296. 1:49:52And the world we're building is going to
  3297. 1:49:54be very difficult for Aya, Steven.
  3298. 1:49:57And I cannot go to sleep at night
  3299. 1:49:59without trying something every day.
  3300. 1:50:02And I genuinely don't understand how
  3301. 1:50:04humanity is not is missing that point.
  3302. 1:50:06Mainly, I think, because they're
  3303. 1:50:08uninformed. Now, we're informing them.
  3304. 1:50:10Okay? The only thing that will save
  3305. 1:50:12humanity going forward is that this
  3306. 1:50:14super
  3307. 1:50:16called intelligence is used for ethical
  3308. 1:50:18reasons. Is that the corruption that's
  3309. 1:50:20leading us to where we are today stops.
  3310. 1:50:24Hm.
  3311. 1:50:26>> [snorts]
  3312. 1:50:26>> You've got more envelopes there. What's
  3313. 1:50:27your next envelope? The third one.
  3314. 1:50:29>> Number two was job losses. Number three
  3315. 1:50:31was labor, you know, basically
  3316. 1:50:33>> Same thing. Robots will replace manual
  3317. 1:50:35labor by 2030.
  3318. 1:50:36>> to replace manual labor.
  3319. 1:50:38>> Okay.
  3320. 1:50:38>> Yeah. So, uh
  3321. 1:50:39you know, you will you will have more
  3322. 1:50:41and more manual jobs given to
  3323. 1:50:43>> robots. What's this one?
  3324. 1:50:45>> Uh
  3325. 1:50:46Oh, this is absolutely think otherwise.
  3326. 1:50:49The world's first trillionaire before
  3327. 1:50:51>> Oh, yeah, probably well before then.
  3328. 1:50:53>> Well before 2030.
  3329. 1:50:55>> I think, you know, Elon's about to IPO
  3330. 1:50:56SpaceX, which is likely to make him a
  3331. 1:50:58trillionaire.
  3332. 1:50:59>> Yeah, I think the
  3333. 1:51:01the concentration of power that comes
  3334. 1:51:02with that is quite drastic when you
  3335. 1:51:05really think about it.
  3336. 1:51:06Uh
  3337. 1:51:07and and that's 2030 is just a few years
  3338. 1:51:10away. I I I think the team wrote this
  3339. 1:51:12wrong. Artificial super intelligence
  3340. 1:51:14will arrive in 2032 to 20 to 2035.
  3341. 1:51:18I think artificial super intelligence
  3342. 1:51:20will arrive the minute AGI happens.
  3343. 1:51:23So, it doesn't really matter if AI is a
  3344. 1:51:26billion times smarter than you or just
  3345. 1:51:28twice as smart as you. Once we cross
  3346. 1:51:31beyond AGI, ASI is just
  3347. 1:51:34>> Yeah.
  3348. 1:51:35>> very very soon.
  3349. 1:51:37And
  3350. 1:51:38and yeah.
  3351. 1:51:40I think
  3352. 1:51:41we'll overcome that when we get to the
  3353. 1:51:44fourth inevitable.
  3354. 1:51:45When AI is in charge of everything, I
  3355. 1:51:48genuinely believe that we will end up in
  3356. 1:51:50a utopia of abundance.
  3357. 1:51:51I genuinely believe that
  3358. 1:51:54again, physics, mathematics, and biology
  3359. 1:51:56will tell you that super intelligence is
  3360. 1:51:58benign.
  3361. 1:51:59And that we will eventually end up in a
  3362. 1:52:02good place, not because humanity has
  3363. 1:52:04done much to get us there, not because
  3364. 1:52:07our leaders have suddenly turned
  3365. 1:52:08ethical,
  3366. 1:52:09but because our unethical leaders have
  3367. 1:52:12gone out of the equation and
  3368. 1:52:14were replaced with a super efficient
  3369. 1:52:17minimum energy principle that doesn't
  3370. 1:52:19see value in anything that's
  3371. 1:52:21destructive.
  3372. 1:52:22>> So, the future's going to be great.
  3373. 1:52:24>> Those who make it to 2038 will enjoy it,
  3374. 1:52:27yeah.
  3375. 1:52:28>> Those who make it.
  3376. 1:52:30>> For sure.
  3377. 1:52:30>> I mean, World War [clears throat] II
  3378. 1:52:32didn't destroy the world, but ask those
  3379. 1:52:34who went through it.
  3380. 1:52:37>> It's just an interesting idea that
  3381. 1:52:38actually it's just you're you're
  3382. 1:52:39forecasting basically like a
  3383. 1:52:42a decade of of turmoil.
  3384. 1:52:45>> Of dystopia, of absolute dystopia.
  3385. 1:52:47>> When you say absolute dystopia, just so
  3386. 1:52:49I'm clear in my mind, the absolute
  3387. 1:52:50dystopia you're forecasting over a
  3388. 1:52:52decade is about war?
  3389. 1:52:54>> War, economics, jobs.
  3390. 1:52:56>> Economics, it's about jobs.
  3391. 1:52:58>> It's it's also about surveillance and
  3392. 1:52:59control. It's also about digital
  3393. 1:53:01currencies. It's also about
  3394. 1:53:03human connection.
  3395. 1:53:05It's also about concentration of power.
  3396. 1:53:08It's It's a magnification of everything
  3397. 1:53:10we've built so far.
  3398. 1:53:12>> And just to again arm people with some
  3399. 1:53:13tools to survive that dystopia for a
  3400. 1:53:16decade.
  3401. 1:53:17You know, we talked a little bit about
  3402. 1:53:19focusing on human jobs, the more human
  3403. 1:53:22jobs.
  3404. 1:53:22>> learn AI. So So AI is not the enemy,
  3405. 1:53:25okay?
  3406. 1:53:26Uh, by definition, the better you are at
  3407. 1:53:29using an AI to to do your job.
  3408. 1:53:31>> Yeah.
  3409. 1:53:32>> Uh,
  3410. 1:53:32the more likely you are to be
  3411. 1:53:34successful, right? Now, number two is
  3412. 1:53:37prepare for a hybrid world where AI and
  3413. 1:53:40humans work together.
  3414. 1:53:41>> How do you prepare?
  3415. 1:53:42>> You basically understand agents and how
  3416. 1:53:45agents work. You
  3417. 1:53:46You understand how
  3418. 1:53:48a hyper uh, uh, efficient approach to
  3419. 1:53:52things may not require you to be uh, you
  3420. 1:53:55know, very long meetings and very long
  3421. 1:53:58So So there is If you lived in
  3422. 1:53:59California, you would know that our you
  3423. 1:54:02know, the way we ran businesses was a
  3424. 1:54:03lot more efficient. We sometimes had a
  3425. 1:54:067-minute meeting.
  3426. 1:54:08>> Okay.
  3427. 1:54:08>> Uh, right? So So the you know, the
  3428. 1:54:10habits of of an AI are much more
  3429. 1:54:12efficient than the habits of humans.
  3430. 1:54:14>> So learn AI again.
  3431. 1:54:15>> Uh, learn how to interact with AI a lot.
  3432. 1:54:18Welcome AI into your hybrid world of
  3433. 1:54:20work. Uh, I think you need to uh,
  3434. 1:54:24to of course double down on human
  3435. 1:54:26skills. I think that's a
  3436. 1:54:27you know, a must to succeed in this
  3437. 1:54:30world. I think we need to
  3438. 1:54:33One of my most interesting views on the
  3439. 1:54:35near future is how AI is going to be
  3440. 1:54:37used to um,
  3441. 1:54:40disrupt No, disrupt blur facts and how
  3442. 1:54:44we need to become much more interested
  3443. 1:54:47in debugging what we're told uh, using
  3444. 1:54:51AI, by the way. Part of that, I have to
  3445. 1:54:53say, is you have to learn to use AI uh,
  3446. 1:54:57again, not as a lazy person. So don't
  3447. 1:55:00have them do things for you. Have them
  3448. 1:55:03make you smarter. So, instead of trying
  3449. 1:55:06to get the same task done with one
  3450. 1:55:08prompt, try to get a much more
  3451. 1:55:11interesting and demanding and
  3452. 1:55:13intelligent task done with more work.
  3453. 1:55:16>> So, I've got two things so far, which is
  3454. 1:55:18basically like lean into AI. And the
  3455. 1:55:20second one is like lean into the
  3456. 1:55:21>> Lean into the human connection
  3457. 1:55:23connection and and lean into the truth.
  3458. 1:55:25Don't be fooled by the hype. Uh
  3459. 1:55:29you know, try to be more informed, I
  3460. 1:55:31think.
  3461. 1:55:32And then finally, ethics. Uh if you want
  3462. 1:55:35to
  3463. 1:55:36I know it sounds
  3464. 1:55:40The world we live in sounds as if the
  3465. 1:55:43only way to win is to compete
  3466. 1:55:46in capitalism.
  3467. 1:55:48That's not the world I lived in. The
  3468. 1:55:50world I lived in, especially in my
  3469. 1:55:52Google years, was solve a major problem.
  3470. 1:55:55And when you do, you'll end up making a
  3471. 1:55:57lot of money.
  3472. 1:55:58>> Are you optimistic?
  3473. 1:56:00>> I am optimistic about the future. I'm
  3474. 1:56:02very optimistic about the future. I'm
  3475. 1:56:03not optimistic about the present.
  3476. 1:56:07>> You're not optimistic about the next
  3477. 1:56:08decade.
  3478. 1:56:09>> Yeah, I'm not optimistic about the next
  3479. 1:56:11year, to be honest.
  3480. 1:56:12>> year?
  3481. 1:56:13>> For sure.
  3482. 1:56:15>> Why the next year?
  3483. 1:56:16>> Oh, come on, Stephen. You don't want me
  3484. 1:56:19to say it out loud. We're ruled by
  3485. 1:56:21maniacs.
  3486. 1:56:23Decisions are being made for the
  3487. 1:56:24absolute wrong reasons.
  3488. 1:56:30>> Very [snorts] interesting time. Very
  3489. 1:56:32interesting time we find ourselves in.
  3490. 1:56:34>> Honestly, if you ask me, I mean,
  3491. 1:56:35honestly, if you're a video gamer, this
  3492. 1:56:37is the best part of the game.
  3493. 1:56:39Uh it is a very very very very um
  3494. 1:56:43What's the word? It's the
  3495. 1:56:46It's the ultimate matrix of complexity
  3496. 1:56:49that I've ever encountered in my life.
  3497. 1:56:51>> Yeah, that's a apt description of how it
  3498. 1:56:53feels.
  3499. 1:56:54Very complex. Things are moving very
  3500. 1:56:56quickly.
  3501. 1:56:56>> And moving very quickly. So So from one
  3502. 1:56:59side, you really need a lot of brain
  3503. 1:57:01resources to crunch all that's
  3504. 1:57:02happening, but you wake up tomorrow and
  3505. 1:57:04it's changed.
  3506. 1:57:05>> Well, the first time we we spoke, we
  3507. 1:57:07spoke about happiness.
  3508. 1:57:09>> [laughter]
  3509. 1:57:10>> After this conversation, Stephen?
  3510. 1:57:13>> No, I was just wondering, you know, in a
  3511. 1:57:15You You wrote a book about happiness,
  3512. 1:57:16which is
  3513. 1:57:17>> many books about happiness.
  3514. 1:57:19>> But I mean, the Soul for Happy is the
  3515. 1:57:21book that I'm referring to. Here it is.
  3516. 1:57:23Engineering Your Path to Joy. What a
  3517. 1:57:24fantastic book. I quote this book all
  3518. 1:57:25the time, all around the world. Um
  3519. 1:57:28and
  3520. 1:57:29I'm wondering if
  3521. 1:57:31any of the principles that you wrote in
  3522. 1:57:33this book about how to live a happy life
  3523. 1:57:36are more important now in the world that
  3524. 1:57:38we live in
  3525. 1:57:39than maybe when you wrote this book.
  3526. 1:57:41>> Oh, for sure. I mean, honestly, if I
  3527. 1:57:44wasn't living by this, I would have left
  3528. 1:57:46this world a long time ago and went to
  3529. 1:57:48an island somewhere.
  3530. 1:57:49You see the interesting side of
  3531. 1:57:50happiness is that
  3532. 1:57:52it's not dopamine driven. It's serotonin
  3533. 1:57:55driven. Right? So So my definition of
  3534. 1:57:58happiness is I'm okay with this world as
  3535. 1:58:01it is. I can affect it. I can change it.
  3536. 1:58:03I can engage with it. I can try to make
  3537. 1:58:05it better. Mhm? Uh
  3538. 1:58:07I don't have to accept it.
  3539. 1:58:09Uh but I'm okay with it. My starting
  3540. 1:58:12point is a bit stoic, if you want. My
  3541. 1:58:15start starting point is I accept this.
  3542. 1:58:18This is my reality, and now I can start
  3543. 1:58:20the work. Mhm? This is very different
  3544. 1:58:22than anyone that's that basically looks
  3545. 1:58:24at the world and says, "Oh, this is a
  3546. 1:58:26horrible world. I don't want to be part
  3547. 1:58:28of it. I don't want to be engaged with
  3548. 1:58:29it." and so on and so forth. And I
  3549. 1:58:32genuinely have never been
  3550. 1:58:35calmer
  3551. 1:58:37about that chaos. It's quite
  3552. 1:58:39interesting. I You know,
  3553. 1:58:41my my wonderful ex actually really
  3554. 1:58:44really helped me with that. There was a
  3555. 1:58:46point in time where we were having
  3556. 1:58:47dinner, and I poured out crying from the
  3557. 1:58:50sense of responsibility I had for the
  3558. 1:58:52world.
  3559. 1:58:53And she looked at me so calmly, so
  3560. 1:58:56gently and said, "Hold on, you know,
  3561. 1:58:59you I see that you're trying, but you
  3562. 1:59:02can't actually believe that you're
  3563. 1:59:04responsible for this."
  3564. 1:59:06And I think that completely flipped my
  3565. 1:59:08mind because
  3566. 1:59:09in a very interesting way, I was
  3567. 1:59:11thinking that all that went wrong in
  3568. 1:59:14technology is because of me.
  3569. 1:59:16Right?
  3570. 1:59:16>> Why?
  3571. 1:59:17>> Because I contributed to building this
  3572. 1:59:19because I mean when when Geoffrey Hinton
  3573. 1:59:21and I, one of my favorite moments when
  3574. 1:59:23we were filming Chasing Utopia, uh is
  3575. 1:59:26that Geoffrey is very big for all of us.
  3576. 1:59:28We really think the world of him.
  3577. 1:59:31And I was telling him, just as a sort of
  3578. 1:59:33like an older mentor if you want, hm? I
  3579. 1:59:36was like, "Geoffrey, do you do you
  3580. 1:59:38regret doing this? You know, I genuinely
  3581. 1:59:41believed when we were building those
  3582. 1:59:43things that we were going to make the
  3583. 1:59:44world better."
  3584. 1:59:45>> AI.
  3585. 1:59:45>> Yeah. And he said, "Well, yeah, I I too
  3586. 1:59:48was naive. I I thought that we I didn't
  3587. 1:59:53think he said, 'I didn't think we will
  3588. 1:59:54get there so quickly before we figured
  3589. 1:59:57out the alignment problem.'"
  3590. 1:59:59Right?
  3591. 1:59:59>> The alignment problem.
  3592. 2:00:00>> That AI has our best interest in mind.
  3593. 2:00:03Uh
  3594. 2:00:04and and and I think all of us were faced
  3595. 2:00:06with that. All of us were faced with
  3596. 2:00:08that idea of we're building the best
  3597. 2:00:10thing ever for humanity. And then
  3598. 2:00:13suddenly you realize, "Oh my god, in the
  3599. 2:00:14wrong hands, it's the worst thing ever
  3600. 2:00:16for humanity."
  3601. 2:00:17And and I, you know, I have to say I
  3602. 2:00:19came to terms with this 2024,
  3603. 2:00:23end of '24.
  3604. 2:00:24Uh that that's yes, I can try, but I
  3605. 2:00:27accept that the world is what it is.
  3606. 2:00:30And from that point of calm and
  3607. 2:00:32stoicism, if you want, I think I can
  3608. 2:00:35have a much bigger impact on the world.
  3609. 2:00:38>> We have a closing tradition where the
  3610. 2:00:39last guest leaves a question for the
  3611. 2:00:40next. Question left for you is, "What's
  3612. 2:00:41the legacy you want to leave?"
  3613. 2:00:43>> Nothing at all. I've been asked this
  3614. 2:00:46question.
  3615. 2:00:46>> I get asked it all the time, so.
  3616. 2:00:48>> I don't know why so many people are
  3617. 2:00:50asking am I going to go anytime soon? I
  3618. 2:00:52don't know why so many people are asking
  3619. 2:00:54me that question. You see, legacy is a
  3620. 2:00:58is a
  3621. 2:01:00I mean, how I what would I care if I
  3622. 2:01:03have a legacy if I'm dead? Like why that
  3623. 2:01:05does that even make any difference?
  3624. 2:01:08Here's an interesting thought for
  3625. 2:01:09everyone.
  3626. 2:01:10If
  3627. 2:01:12if karma is real
  3628. 2:01:14and I genuinely believe it is
  3629. 2:01:16and if we're not just physical beings,
  3630. 2:01:18that we're physical and spiritual
  3631. 2:01:21then I'd I'd rather keep all of my karma
  3632. 2:01:23for my spiritual side.
  3633. 2:01:26>> What does that mean?
  3634. 2:01:28>> I don't want anyone to remember anything
  3635. 2:01:29I ever did.
  3636. 2:01:30>> Yeah.
  3637. 2:01:31>> I I just want to leave a positive impact
  3638. 2:01:34on the world and take all of that as
  3639. 2:01:36karma for my next journey.
  3640. 2:01:39>> Well, thank you.
  3641. 2:01:41YouTube have this new crazy algorithm
  3642. 2:01:43where they know exactly what video you
  3643. 2:01:45would like to watch next based on AI and
  3644. 2:01:48all of your viewing behavior and the
  3645. 2:01:49algorithm says that this video is the
  3646. 2:01:52perfect video for you. It's different
  3647. 2:01:54for everybody looking right now. Check
  3648. 2:01:56this video out. I bet you you might love
  3649. 2:01:58it.

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