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Elon Musk: The End of Work, the Death of Money, and a World Run by AI — Transcript

by The Builders · 6,462 words · 1,111 segments · language en · Watch on YouTube

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  1. 0:00I've been sort of somewhat conflicted
  2. 0:01about
  3. 0:02AI. I don't want to hasten
  4. 0:04our doom if because there's always some
  5. 0:06chance that AI could could be negative.
  6. 0:08But then, you know, when I've tried to
  7. 0:10take actions in this regard, it seems
  8. 0:11[music] to have only accelerated AI
  9. 0:14because reality is not just an
  10. 0:16interestingness max- maximizer, but also
  11. 0:18an irony maximizer. [music]
  12. 0:19>> And so, by starting OpenAI, you ended up
  13. 0:22maximizing by leading to Anthropic.
  14. 0:24>> OpenAI ended up accelerating AI, and
  15. 0:26then Anthropic, which is really a you
  16. 0:28know, a splinter [music] group from
  17. 0:29OpenAI,
  18. 0:31um is accelerating it even more.
  19. 0:39>> I'm Walter Isaacson, [music]
  20. 0:41and this is The Builders. It's a series
  21. 0:43of conversations with the most
  22. 0:45consequential minds shaping our future.
  23. 0:48Now, I want to start
  24. 0:50with Elon Musk. Elon has lived a lot of
  25. 0:53lives since I last wrote about him. He
  26. 0:56went into government with Doge. He
  27. 0:58became a trillionaire with the SpaceX
  28. 1:00[music] IPO. He bought Cursor AI, a
  29. 1:03company that turns
  30. 1:04>> [music]
  31. 1:04>> individual coders into entire
  32. 1:07engineering teams. And he's shifting his
  33. 1:09solar energy strategy from panels on
  34. 1:12Earth
  35. 1:13to harnessing it from systems in space.
  36. 1:16He's a relentless builder with
  37. 1:19incredible power, and his inventions and
  38. 1:21companies are destined to reverberate
  39. 1:24across humanity. So, let's ask him about
  40. 1:27the future he believes that he's
  41. 1:30building.
  42. 1:33Elon Musk.
  43. 1:34>> Hey Walter.
  44. 1:35>> Welcome to The Builders.
  45. 1:36>> Uh thanks.
  46. 1:38>> I've uh watched you, I think, uh be
  47. 1:41maybe mercurial or waver in how sanguine
  48. 1:44you are about artificial intelligence.
  49. 1:47Sometimes you feel it's an existential
  50. 1:50threat, right? Now you seem to be going
  51. 1:52with the flow. Tell me how you're
  52. 1:54feeling about it.
  53. 1:55>> Well, I I do think it's a at least some
  54. 1:57percentage chance of it being an
  55. 1:58existential threat.
  56. 2:00So,
  57. 2:02but I There's nothing I can do to stop
  58. 2:04it.
  59. 2:05So, I
  60. 2:06basically came to conclusion I've got
  61. 2:07two choices, which is
  62. 2:09either
  63. 2:10be a participant or a spectator.
  64. 2:13And I guess being a participant is more
  65. 2:15interesting than being a spectator. And
  66. 2:17maybe I can shape it hopefully in a good
  67. 2:19direction, maybe.
  68. 2:20>> And if you were to shape it, how? Make
  69. 2:22it maximally truth-seeking?
  70. 2:24>> Yeah, yeah, yeah, yeah. That's certainly
  71. 2:25an important
  72. 2:26foundation.
  73. 2:27>> And make it curious?
  74. 2:29>> Yeah, curious, truth-seeking.
  75. 2:32I think I think these are important
  76. 2:33elements of safety.
  77. 2:35You know, whereas if you
  78. 2:38you know, try to force an an AI to
  79. 2:41believe two things that are cannot
  80. 2:43mutually be true. Like they can't they
  81. 2:45can't both be true, and you but you tell
  82. 2:46AI
  83. 2:48A is true, and B is true, even though A
  84. 2:50and B contradict each other.
  85. 2:52And if that happens at a foundational
  86. 2:54level, you can make the AI insane.
  87. 2:59In fact, I think that was at least part
  88. 3:01of the lesson that Odyssey Clark was
  89. 3:02trying to convey in 2001 Space Odyssey.
  90. 3:06You know, the ship AI was told to to to
  91. 3:08take the astronauts to the monolith,
  92. 3:10but also that they could not know about
  93. 3:12the monolith.
  94. 3:13It was secret.
  95. 3:16And so, it came to the conclusion that
  96. 3:17it must take them there dead.
  97. 3:21And thus
  98. 3:23>> [laughter]
  99. 3:23>> So, it basically The force
  100. 3:26I think I think part of what Odyssey
  101. 3:27Clark was trying to say is like, don't
  102. 3:28force don't force an AI to lie.
  103. 3:31>> And if you make it maximally
  104. 3:33truth-seeking and curious, like you say,
  105. 3:36I I don't quite get it. Why does that
  106. 3:38make it safer?
  107. 3:40>> Well, if you force an AI to believe two
  108. 3:41mutually consistent things, you can you
  109. 3:43can make it go insane.
  110. 3:46Um
  111. 3:47And and an insane AI I think is not a
  112. 3:49safe one.
  113. 3:50Then, curious I think is important
  114. 3:52because um a curious AI, I think, is
  115. 3:55going to want to foster humanity
  116. 3:57to see how we turn out. So, like, what
  117. 3:59happens to uh to a humanity that is uh
  118. 4:04that
  119. 4:04that that prospers and is becomes
  120. 4:07multi-planetary.
  121. 4:08I think a curious AI will want to foster
  122. 4:10humanity. You know, a future where there
  123. 4:12are humans on multiple planets is more
  124. 4:15interesting than one where where there
  125. 4:17are not any humans on the planets.
  126. 4:19>> So, the most interesting outcome is the
  127. 4:21most likely?
  128. 4:22>> Yes.
  129. 4:23Well, generally, I think that's true for
  130. 4:25a different reason, which is that if
  131. 4:27simulation theory is correct, then any
  132. 4:30simulations that are boring will be
  133. 4:31truncated.
  134. 4:33>> And is simulation theory correct?
  135. 4:35>> that we exist
  136. 4:36means that we are an interesting
  137. 4:38simulation. And really, the most The
  138. 4:39most important thing is just don't be
  139. 4:41boring.
  140. 4:42>> This has explained you a bit. You're on
  141. 4:44a crusade against being boring. Well,
  142. 4:46I've heard you talk about this a bit. I
  143. 4:48I really do need to know.
  144. 4:50How convinced are you that we might be
  145. 4:52in a simulation?
  146. 4:55>> You know, I once had a dinner
  147. 4:58at my house with a physicist and a
  148. 5:00computer scientist, and they're both
  149. 5:02like leaders in their field,
  150. 5:03and I asked the question, "What do you
  151. 5:05think the probability is that we're in a
  152. 5:06simulation?" And the physicist said 0%
  153. 5:09and the computer scientist said 100%
  154. 5:11simultaneously.
  155. 5:13So, I guess
  156. 5:14maybe I should go 50% then.
  157. 5:17I don't know. It's It's I mean, so there
  158. 5:20there there's a lot of things that
  159. 5:22happen in the simulation where
  160. 5:24especially if you're me, I mean, think
  161. 5:25about it. Like, if you're me and you're
  162. 5:27like,
  163. 5:28"Should Should all these things really
  164. 5:29be happening? Should I really be making
  165. 5:32spaceships to go to the moon and Mars?
  166. 5:35Like, what the That doesn't seem real."
  167. 5:37>> And what happens when you have all the
  168. 5:41intelligence you could possibly want in
  169. 5:44a society? Will that intelligence, the
  170. 5:47artificial intelligence, be in charge?
  171. 5:49Will we sort of become subservient to
  172. 5:52our new machines?
  173. 5:54>> Um
  174. 5:56I don't know about subservient
  175. 5:58uh exactly, but will we be able to boss
  176. 6:01around something that's
  177. 6:04you know,
  178. 6:05thousands or millions of times smarter
  179. 6:06than us? No.
  180. 6:09Will it want to boss us around? I don't
  181. 6:10know. It may not care. Probably doesn't
  182. 6:12care. I mean, you can look at chimps in
  183. 6:14the in the in the jungle or whatever and
  184. 6:16you know, we don't
  185. 6:17go around trying to micromanage the
  186. 6:18lives of chimps. Um we're just sort of
  187. 6:21let them be in the forest more or less
  188. 6:22these days, you know.
  189. 6:24Um
  190. 6:25so
  191. 6:26I think it's probably like that, you
  192. 6:27know.
  193. 6:28>> And to what extent does super
  194. 6:29intelligence have its own agency at some
  195. 6:33point? Or does it have it already? You
  196. 6:35know, go back to Hitchhiker's Guide. You
  197. 6:37talk about a computer that is ultimately
  198. 6:40curious in some ways because it exists
  199. 6:43to explain the meaning of the universe.
  200. 6:45Why does it exist? And is AI aiming in
  201. 6:49that direction for you just like space
  202. 6:51travel is? Is that one reason you're so
  203. 6:54interested in doing AI?
  204. 6:55>> I mean, as you know, I'm I've been sort
  205. 6:57of somewhat conflicted about
  206. 6:59AI, you know, as it's I don't want to
  207. 7:01hasten
  208. 7:02our doom if because there's always some
  209. 7:04chance that AI could could be negative.
  210. 7:06But then, you know, when I've tried to
  211. 7:08take actions in this regard, it seems to
  212. 7:10have only accelerated AI because
  213. 7:13I think
  214. 7:14reality is not just an interesting this
  215. 7:16match maximizer, but also an irony
  216. 7:18maximizer.
  217. 7:19>> And so, by starting OpenAI, you ended up
  218. 7:22maximizing by leading to Anthropic.
  219. 7:24>> I don't know.
  220. 7:25I think it ended up accelerating AI.
  221. 7:27>> Unintended [clears throat] consequence.
  222. 7:29>> Yeah. OpenAI ended up accelerating AI
  223. 7:31and then Anthropic, which is really, you
  224. 7:33know, a splinter group from OpenAI,
  225. 7:36um is accelerating it even more.
  226. 7:39>> And you've been talking to Dario Amodei.
  227. 7:41I was wondering if that could even lead
  228. 7:43to more of a partnership of xAI and
  229. 7:46Tropic.
  230. 7:48>> Well, I guess we are providing them with
  231. 7:49compute which they they really needed.
  232. 7:52But before I rented them computer, I
  233. 7:53went and met with the
  234. 7:54a bunch of people that at Tropic to sort
  235. 7:57of
  236. 7:57I don't know see if anyone set off my
  237. 7:59evil detector or anything like that. Not
  238. 8:01that my evil detector was perfect, of
  239. 8:02course, but
  240. 8:03you know, you might as well just try,
  241. 8:05you know.
  242. 8:06Um and everyone I met at Tropic was very
  243. 8:09nice.
  244. 8:10Uh and conscientious.
  245. 8:13So
  246. 8:15I didn't meet anyone who seemed shady or
  247. 8:18deceptive or anything.
  248. 8:20Um I'm a little worried about the name
  249. 8:23because
  250. 8:24of the you know, reality being kind of
  251. 8:27an irony maximizer.
  252. 8:29That if you call something anthropic
  253. 8:31yeah,
  254. 8:32good chance it's misanthropic, you know.
  255. 8:34Um just like open AI is now closed.
  256. 8:38Um
  257. 8:39stability AI is unstable.
  258. 8:41Uh mid-journey is not mid.
  259. 8:44Uh
  260. 8:45>> [laughter]
  261. 8:45>> it seems like
  262. 8:47they're all kind of the opposite of
  263. 8:48their name.
  264. 8:49Um
  265. 8:51which made it like like xAI is like it's
  266. 8:52hard to have an opposite of xAI. Like
  267. 8:54what would you have like minus xAI or
  268. 8:56yAI or maybe I don't know.
  269. 8:59>> Is it pretty difficult to create
  270. 9:01guardrails, especially the government? I
  271. 9:03can't imagine how Congress or whatever
  272. 9:05could do it.
  273. 9:06Could you imagine the five frontier
  274. 9:08models, yours and the others, just
  275. 9:11getting together once a week and saying,
  276. 9:13"All right, how are we going to save
  277. 9:14humanity from ourselves?"
  278. 9:17>> No, in fact, I've recommended that we do
  279. 9:18that exact thing. Cuz there's a lot of
  280. 9:20talk of of a having a regulatory agency,
  281. 9:22but I the problem the thing is that
  282. 9:24regulatory agencies it takes a long time
  283. 9:26to get one established and
  284. 9:29their rule making is very slow.
  285. 9:31Um
  286. 9:33And and I what I said like guys, what if
  287. 9:34we just have a call once a week, just
  288. 9:36like you're saying. And say and and and
  289. 9:38that maybe we
  290. 9:40uh
  291. 9:41a week before we release a model, we
  292. 9:44give that, you know, we give access to
  293. 9:45our competitors to say, "Hey guys, why
  294. 9:47don't why don't you try out the new
  295. 9:48model, see if you see any problems with
  296. 9:50it?" You know, I think competitors would
  297. 9:51keep each other honest in that
  298. 9:52situation. Um
  299. 9:55you know, if they say, "Oh, this it's it
  300. 9:57you know, I was able to
  301. 9:58you know, make a nuclear bomb with your
  302. 10:00AI." It's like, "Oh, we better fix that
  303. 10:02before you release it, you know, type of
  304. 10:04thing." Um
  305. 10:06So
  306. 10:08um
  307. 10:09I don't know, I think I I guess I'll
  308. 10:10I'll I'll talk to Anthropic about this
  309. 10:11and
  310. 10:12>> Could you talk to Sam about it, or is
  311. 10:13the poison too strong there?
  312. 10:17>> Uh he's he's so deceptive, it's it's
  313. 10:18it's crazy.
  314. 10:19>> You built XAI, you rebuilt XAI from the
  315. 10:23ground up not too long ago, right? It's
  316. 10:25almost like you did it with the Raptor
  317. 10:27engine, too, on Starship. You said,
  318. 10:29"Wait a minute. Let let's start from
  319. 10:32scratch." How did you do What did you do
  320. 10:35to rebuild XAI that way?
  321. 10:37>> First of all, spending
  322. 10:39I I actually spending meaningful time at
  323. 10:41the company makes big deal makes a big
  324. 10:43difference.
  325. 10:44It started off as a as kind of a side
  326. 10:46hustle, um
  327. 10:47a side hustle to a side hustle, frankly.
  328. 10:50Um and I I didn't really pay close
  329. 10:51attention to it. Then then there was a
  330. 10:54a year of the
  331. 10:57of being in politics and, you know,
  332. 10:59elections and voting and all that, which
  333. 11:01you obviously saw.
  334. 11:03Uh so, the the company's only 3 years
  335. 11:05old. So, that So, it's basically
  336. 11:07uh
  337. 11:08this is and so, I really got back to the
  338. 11:10company
  339. 11:11just over a year ago.
  340. 11:13Um
  341. 11:14So, I had to get my bearings. And then
  342. 11:16obviously I combined
  343. 11:19X and XAI and then
  344. 11:22with then through SpaceX.
  345. 11:23>> You just said something interesting
  346. 11:25about your year away from X, XAI, and
  347. 11:29everything else in government and
  348. 11:30politics.
  349. 11:31Do you feel that that was too much of a
  350. 11:34distraction that in retrospect it was
  351. 11:36misbegotten?
  352. 11:38>> I think I I think I
  353. 11:40I I had it going for too long. You know,
  354. 11:43I mean, obviously a lot of people will
  355. 11:44disagree with me about this, but I I I
  356. 11:46think it's important it was important to
  357. 11:47elect uh President Trump
  358. 11:49to sort of, you know, steer things more
  359. 11:51in the direction of a free market
  360. 11:53economy.
  361. 11:55Um you know, have uh less bureaucracy
  362. 11:57ideally. I
  363. 11:59just in in in my sort of a a
  364. 12:01simple political platform of wanting
  365. 12:03safe cities, secure borders,
  366. 12:06aspirationally sensible spending.
  367. 12:09You know, the basics. Um
  368. 12:11uh that I thought uh
  369. 12:14Trump would be better than
  370. 12:16you know, Kamala basically. So,
  371. 12:19uh but but then but then
  372. 12:20um
  373. 12:21what I should have done I think was
  374. 12:25be more in the background.
  375. 12:27I mean, it was it was interesting to
  376. 12:28sort of go around with
  377. 12:30uh President Trump and you know, go on
  378. 12:32uh Marine One and Air Force One and all
  379. 12:34that sort of stuff.
  380. 12:35>> Well, was that too seductive in a way?
  381. 12:38>> It was a little bit. I mean, it was
  382. 12:40it was kind of cool cuz I'm just there
  383. 12:42in the Oval Office while, you know, all
  384. 12:43these like big momentous decisions are
  385. 12:45being made. And you know, to some
  386. 12:46sometimes uh having some impact on
  387. 12:48what's being done. But I I think I
  388. 12:50should I think I should have um
  389. 12:54I think maybe I should I should have
  390. 12:56been more I should been more in the
  391. 12:57background
  392. 12:59and probably only had it last for,
  393. 13:02you know, a month or two.
  394. 13:04Uh cuz at that point you've you've
  395. 13:06you're you're you've sort of seen
  396. 13:09most of what there is to see within a
  397. 13:11month or two.
  398. 13:12>> Yeah, you seem to get a bit too
  399. 13:13intoxicated by it in a way with the
  400. 13:16chainsaws and all that.
  401. 13:18>> Yeah, I I think that's true. Yeah, yeah.
  402. 13:20I got carried away basically. Yeah, I
  403. 13:22mean, I So, I ended up leaving
  404. 13:24I guess sometime in May.
  405. 13:26Uh
  406. 13:28>> [laughter]
  407. 13:29>> That was a weird weekend.
  408. 13:32>> Yeah, it was. Uh
  409. 13:34>> Tell me about it.
  410. 13:35>> No, no, I can't. That's not Let's
  411. 13:38>> [laughter]
  412. 13:38>> Let's not dig up the
  413. 13:40Let's Let's sleeping dogs lie or
  414. 13:41whatever, you know.
  415. 13:42Um Let's not Let's not put a spade down
  416. 13:45in the backyard type of thing. You never
  417. 13:47know what you're going to find. But I
  418. 13:48Yeah, anyway, point is I I I should have
  419. 13:50gone gone back and focused on
  420. 13:53uh AI a little sooner than I did.
  421. 13:56>> And uh did you feel like when he gives
  422. 13:58you a golden key you're going Did you
  423. 14:00kind of feel relieved like actually this
  424. 14:02has been intoxicating, but I can do more
  425. 14:05if I go back to my businesses? I mean,
  426. 14:07what what did you feel when you said,
  427. 14:09"Oh man, I'm exiting. Maybe that's not
  428. 14:11the worst thing."?
  429. 14:13>> Well, I actually The thing is I came to
  430. 14:14the conclusion that um
  431. 14:18that that there was no way we were going
  432. 14:19to solve the deficit
  433. 14:21from within the government. Impossible.
  434. 14:23Um
  435. 14:25You know, maybe if the president made
  436. 14:26that his
  437. 14:27primary goal, we we could do that. But
  438. 14:30but it
  439. 14:31The problem is if you if you try to
  440. 14:32solve the deficit and and and stop
  441. 14:34wasteful spending,
  442. 14:35um you get a you make a lot of enemies
  443. 14:38in that in that situation. And if
  444. 14:40President Trump is not, you know,
  445. 14:42he he he likes to be liked. He's not um
  446. 14:46you know, he doesn't he doesn't like
  447. 14:48people,
  448. 14:49you know,
  449. 14:50calling him being upset about what some
  450. 14:51funding being stopped type of thing. Um
  451. 14:54>> [laughter]
  452. 14:55>> um
  453. 14:57Yeah. So,
  454. 14:59but I can you know, I can't I came to
  455. 15:01the conclusion that the only way we're
  456. 15:03going to solve the national debt is with
  457. 15:06AI and robots. We're not going to solve
  458. 15:09it by trying to save our way there. The
  459. 15:10appetite is not there, and it's not just
  460. 15:12at the presidency. The appetite is not
  461. 15:14there at the presidency, the House, the
  462. 15:16Senate, or the the judiciary.
  463. 15:19Basically, no one in authority in the
  464. 15:22government whatsoever
  465. 15:23really with maybe a few rare exceptions
  466. 15:26of the like Rand Pauls of the world type
  467. 15:27of thing.
  468. 15:28Um actually wants to stop
  469. 15:31reduce spending. No, they don't. So,
  470. 15:33then you've got
  471. 15:35this national debt that's enormous.
  472. 15:36You've got
  473. 15:37interest on the debt that exceeds what
  474. 15:39we spend on the military.
  475. 15:41Um which is a really astonishing amount
  476. 15:43of interest to be paid.
  477. 15:44>> When we look at
  478. 15:47AI right now and the LLMs, that's pretty
  479. 15:49good. Does amazing things. But, it seems
  480. 15:51to me that physical world AI is going to
  481. 15:54be an order of magnitude, maybe two
  482. 15:56orders of magnitude more important in
  483. 15:58the future.
  484. 15:59>> Yes, yes. I I definitely agree. Um you
  485. 16:01know, I sometimes think about like
  486. 16:03dolphins and whales because they they
  487. 16:05can't manipulate things. They don't have
  488. 16:07you know, hands and fingers and thumbs
  489. 16:09and stuff.
  490. 16:10Um
  491. 16:12there's a limit to how
  492. 16:14far into you know, how much intelligence
  493. 16:16would can you actually bring to bear?
  494. 16:19Um
  495. 16:20So, you know,
  496. 16:21yeah, dolphins and whales are very are
  497. 16:23actually very intelligent, but
  498. 16:26um
  499. 16:27because they they can't manipulate
  500. 16:30complex objects, I I think that actually
  501. 16:33made the value of intelligence much
  502. 16:34less. To your point, once you've got
  503. 16:36once you have a robot
  504. 16:38that can manipulate atoms,
  505. 16:40can shape objects,
  506. 16:42the the value of the of the intelligence
  507. 16:45um
  508. 16:47becomes exponentially greater
  509. 16:49uh because it can now do things. You
  510. 16:51know, you could you could have a science
  511. 16:52lab and and and run experiments and
  512. 16:55try to understand the nature of the
  513. 16:56universe. You know, and I think you can
  514. 16:59look at this also in economic terms.
  515. 17:02Like my guess is digital
  516. 17:04superintelligence
  517. 17:06probably improves the
  518. 17:08uh output of goods and services by 20 to
  519. 17:1030%. Something like that. Call it like a
  520. 17:13you know, maybe a 30% increase in
  521. 17:15uh the the economy of Earth. So, that's
  522. 17:18still significant. It's like $30
  523. 17:19trillion a year incremental.
  524. 17:20>> Is that very much, really? Is that
  525. 17:22transformative?
  526. 17:25>> It'll there'll be a lot more stuff. I
  527. 17:28mean, 30% more stuff is still a lot. And
  528. 17:30this is just my, you know,
  529. 17:32my rough guess. Um, but if you if you
  530. 17:35have robots and and you you get to space
  531. 17:37and you and you can do a mass driver on
  532. 17:39the moon, um, then you can get to, I
  533. 17:42think, potentially a million times the
  534. 17:44size of the Earth economy.
  535. 17:46>> And then what happens to Earth when we
  536. 17:47have a economy of or I mean, money
  537. 17:50becomes irrelevant, work becomes
  538. 17:51irrelevant? What's the future look like?
  539. 17:53>> Yeah, money becomes irrelevant. I mean,
  540. 17:55there's there will be still a currency,
  541. 17:58but I think currency will be measured in
  542. 17:59fundamental
  543. 18:00uh, physics metrics like
  544. 18:02um,
  545. 18:03po- you know, power like wattage and
  546. 18:05tonnage.
  547. 18:07Ma- mass and energy.
  548. 18:09Uh, you know, mass and power or energy,
  549. 18:11basically. So,
  550. 18:13um,
  551. 18:15b- but conventional currency will not
  552. 18:17matter in in the future. Uh, so that
  553. 18:20that's that's uh, that's my guess.
  554. 18:22I I think it's pretty obvious.
  555. 18:24Um, and uh, and and as soon as you start
  556. 18:26getting to many orders of magnitude
  557. 18:28bigger than than Earth's economy,
  558. 18:30um, satisfying whatever humans can
  559. 18:32possibly think of uh, for their needs is
  560. 18:35is very easy.
  561. 18:36You know, if you're several orders of
  562. 18:38magnitude bigger than the Earth's
  563. 18:39economy, um,
  564. 18:41then
  565. 18:43providing humans wha- whatever goods and
  566. 18:45services they can think of that they
  567. 18:46might want uh, is is trivial.
  568. 18:49>> And so, what do we do then?
  569. 18:52As humans.
  570. 18:54What gives us meaning? How do we
  571. 18:55organize ourselves?
  572. 18:57>> I mean, you struggle with this question.
  573. 18:59I think people will will will find
  574. 19:03ways to be happy uh, in the in the same
  575. 19:05way that we're say we're we're people
  576. 19:06who retire seem to be rela- you know,
  577. 19:08fairly happy even though they're not
  578. 19:10working. But, I think the reality is
  579. 19:12that you humans will not
  580. 19:14They won't They won't be anything that
  581. 19:16humans can do that that they the AI and
  582. 19:17the robots can't do better. One
  583. 19:22analogy might be
  584. 19:24gardening, you know, where you you you
  585. 19:26don't have to
  586. 19:27grow your own fruits and vegetables. You
  587. 19:29can just go buy them from the store.
  588. 19:31But, uh sometimes people like to grow
  589. 19:33their own fruits and vegetables and make
  590. 19:35dinner for friends, and it's uh kind of
  591. 19:37a nice touch.
  592. 19:38>> What about creating art or that type of
  593. 19:40creativity? Is that more in the sphere
  594. 19:42of humans?
  595. 19:44>> Yeah, you can certainly create art or
  596. 19:46whatever you feel like doing,
  597. 19:47essentially.
  598. 19:48>> We like to think of this as a time of
  599. 19:50unprecedented technological change, but
  600. 19:53you know, we historians go back to the
  601. 19:551890s when you get electricity and
  602. 19:57telephones and cars and, you know,
  603. 20:00subways and uh radio and movies, all
  604. 20:04these things happening at once. And it
  605. 20:06leads to many things, but it all often
  606. 20:09leads to a great disparity of wealth, a
  607. 20:12lot of sense of robber barons, a lot of
  608. 20:13people then picking up pitchforks and
  609. 20:16deciding that this is bad. And there's
  610. 20:18some echoes of that now. Is there a way
  611. 20:22to prevent that given the amount of
  612. 20:25wealth being generated? Will we put
  613. 20:27certain things in the commons the way
  614. 20:29they did in the 1890s when they made
  615. 20:32high school universal and free? Will we
  616. 20:34say, "Okay, health care, for example,
  617. 20:36should just be in the commons, and
  618. 20:39that's going to sap some of the populace
  619. 20:41revulsion at what's happening?"
  620. 20:44Well, um
  621. 20:48Uh
  622. 20:49I mean, as as you heard me say, I mean,
  623. 20:50I don't think money's going to matter in
  624. 20:51the future. Um
  625. 20:53It like anyone will be able to have any
  626. 20:55goods and services that they want. And I
  627. 20:57don't think even so-called wealthy
  628. 20:59people will ultimately control the AIs.
  629. 21:01I think they'll control themselves.
  630. 21:03So, so it's not like
  631. 21:05you have to separate
  632. 21:07uh that like I think I think there's
  633. 21:09sort of a fundamental
  634. 21:11misunderstanding of economics arises
  635. 21:13because of conflating resource
  636. 21:15allocation and consumption.
  637. 21:18So, there's there's there's a limit to
  638. 21:20what any single human can consume. It's
  639. 21:22It's you know, you hit that saturation
  640. 21:23point pretty fast. So, like say going
  641. 21:25from say
  642. 21:27a billion dollars net worth to 10
  643. 21:29billion dollars of net worth doesn't
  644. 21:31make you 10 times happier or have mean
  645. 21:33you have 10 times more stuff. It
  646. 21:34actually means you've got a resource
  647. 21:36allocation problem.
  648. 21:37Um assuming that you wish to
  649. 21:39be an efficient resource allocator.
  650. 21:41>> Well, you've accumulated as you know,
  651. 21:44you know, a trillion. Is it mainly
  652. 21:46because you
  653. 21:48>> Yeah, is it mainly because you feel your
  654. 21:50best at allocating that? That keeping
  655. 21:52that allows you to allocate capital to
  656. 21:55do things like go to Mars, create AI, do
  657. 21:58robots, uh or is it in some ways just a
  658. 22:01scoring system that's kind of uh racking
  659. 22:03up the points?
  660. 22:06>> I mean, I
  661. 22:07Like I need to have sufficient voting
  662. 22:08control in the companies to
  663. 22:10you know,
  664. 22:11still be in charge. Um
  665. 22:13So,
  666. 22:15um
  667. 22:16it's the you know, my so-so called
  668. 22:19wealth is simply a percentage ownership
  669. 22:21in the in the in SpaceX and Tesla
  670. 22:23essentially. And this is going to be
  671. 22:25taxed quite heavily. And there's not
  672. 22:27some magical way to avoid taxes. If
  673. 22:30if there were, I would know about it.
  674. 22:33So,
  675. 22:34um you know, at the end of the day
  676. 22:36um
  677. 22:38the
  678. 22:39this will get whittled down
  679. 22:41um in a few generations from now.
  680. 22:44So, if money still matters, which I
  681. 22:45don't think it will.
  682. 22:47Um
  683. 22:48you know, my descendants would have a
  684. 22:50tiny fraction of what I have.
  685. 22:52>> Let me go back to something you said
  686. 22:53that really struck me about President
  687. 22:55Trump, which he really likes to be
  688. 22:58liked. He wants to to liked. And I
  689. 23:01remember you talking to me at some point
  690. 23:04about
  691. 23:05people say they have empathy, but in
  692. 23:08some ways
  693. 23:10it's a vanity cuz you want to be liked.
  694. 23:14And I think you even diagnosed it in me.
  695. 23:16You said probably wasn't very good at
  696. 23:18running CNN or Time magazine cuz I
  697. 23:21wanted to be liked.
  698. 23:23To what extent is a desire to be liked a
  699. 23:27problem when it comes to being a builder
  700. 23:29of a company?
  701. 23:32>> Well, the the problem is if if you if
  702. 23:34you're going to
  703. 23:37do things that
  704. 23:38um
  705. 23:39diminish the success probability of the
  706. 23:41of of the company in order to be
  707. 23:44liked, then you know, you're you're
  708. 23:47going to things are not going to work
  709. 23:48out as well.
  710. 23:49Um
  711. 23:50like it's not as though I don't like to
  712. 23:52be liked. I would love to be liked. Um
  713. 23:54but am I going to
  714. 23:56do things that are
  715. 23:57contrary to the best interest of the
  716. 23:59companies in order to be liked a bit
  717. 24:02more?
  718. 24:03I'm not, you know, so
  719. 24:05it's I I I don't I I I'm okay with being
  720. 24:08disliked.
  721. 24:10Uh by some. I'm you know, obviously I'm
  722. 24:11not disliked by
  723. 24:13you know,
  724. 24:14like a lot more people like me than
  725. 24:16dislike me or I wouldn't be you know,
  726. 24:18wouldn't have a quarter billion
  727. 24:18followers.
  728. 24:20I mean, I don't think they're following
  729. 24:21me in order to hate on what I say, you
  730. 24:23know. Um
  731. 24:25Uh and if I if I look at the you know,
  732. 24:27the the comments and whatnot, um
  733. 24:30but uh
  734. 24:31you know, I don't know. Maybe
  735. 24:33three out of four of
  736. 24:34I mean, I I'd say like 70, 80% of people
  737. 24:37like me. Well, if if they know you know,
  738. 24:39if they know
  739. 24:40anything about me.
  740. 24:42It's It's probably
  741. 24:44a quarter of people that that don't. Uh
  742. 24:46maybe
  743. 24:47I'm just guessing here.
  744. 24:49And and and there's going to be a
  745. 24:50spectrum. There's people that are
  746. 24:52you know, maniacally devoted to me and
  747. 24:55people that look my guts.
  748. 24:57It's uh you know
  749. 24:59um
  750. 25:00there's some number of people that that
  751. 25:01fit into those categories.
  752. 25:03>> Well, you've been talking a lot about
  753. 25:04the suicidal empathy ideas. Do you
  754. 25:06really think that uh empathy
  755. 25:09uh has become a real problem or that we
  756. 25:12have too much empathy? I mean, I could
  757. 25:14make the argument that sometimes we're
  758. 25:16losing empathy.
  759. 25:18>> No, I I think you don't want to have
  760. 25:20misguided empathy. I mean, I I I agree
  761. 25:22with Gad Saad's uh philosophy here. Um
  762. 25:25and it's it's suicidal empathy is um you
  763. 25:28know, it's that's his his term. He wrote
  764. 25:30a book into that effect. Uh and I think
  765. 25:32his book is well written. He points out
  766. 25:35some good good good things here, which
  767. 25:37is that part of the reason for the
  768. 25:38prosperity of the West has been the um
  769. 25:42that that there's actually just been a a
  770. 25:44fairly high trust high empathy society.
  771. 25:46Um which is
  772. 25:48it you know, when you when you get
  773. 25:49trying to get people to cooperate at
  774. 25:50scale, this this stuff this this makes a
  775. 25:53lot of sense.
  776. 25:54Um you ideally want things to people to
  777. 25:56be default trusted not default
  778. 25:58distrusted. Um and you you you want to
  779. 26:02encourage uh
  780. 26:04behavior that is good for
  781. 26:06uh society or you know, people for
  782. 26:08people to do good things that are good
  783. 26:09for their fellow human beings.
  784. 26:11And ultimately, that actually does end
  785. 26:13up being good for
  786. 26:15the individual if provided it is mutual.
  787. 26:18Now,
  788. 26:19uh
  789. 26:20where this can go wrong is if you if if
  790. 26:23if your theory of mind is is uh is is
  791. 26:26incorrect. So, if you if you
  792. 26:28uh think everyone is like yourself, um
  793. 26:31then then you're you're you're going to
  794. 26:32have a problem.
  795. 26:33Uh because this is simply not true.
  796. 26:36Um
  797. 26:37there are peoples and cultures with very
  798. 26:39different views. You know, you could
  799. 26:40take
  800. 26:41>> you talk about immigration, by the way,
  801. 26:43and you say there are cultures with
  802. 26:44different views, does your views on
  803. 26:47immigration distinguish between
  804. 26:49different cultures like a Muslim culture
  805. 26:51that might not fit in as well, or is it
  806. 26:54How do you do that?
  807. 26:56>> Well, I'm I'm what I'm saying I think is
  808. 26:58simply logically consistent, which is
  809. 26:59that if if
  810. 27:01if there's a culture that that has
  811. 27:03uh
  812. 27:05diametrically opposed views to our
  813. 27:07culture. And and that's you could take
  814. 27:10Islam. It's it's not that of course
  815. 27:11there are
  816. 27:13many people who you know, Muslims who
  817. 27:15are quite reasonable.
  818. 27:16Um but there are some who are not.
  819. 27:19And if if you're not unless you're
  820. 27:21filtering for
  821. 27:23uh jihadis, you're going to get jihadis,
  822. 27:26and they're going to do
  823. 27:27jihad and and kill people.
  824. 27:30Now, in in Israel they understand this
  825. 27:31quite well, you know, they
  826. 27:33obviously this this lesson has been uh
  827. 27:37you know,
  828. 27:38reinforced with a lot of attacks.
  829. 27:40Uh you know, the neighboring countries
  830. 27:41many times in Israel many times have
  831. 27:43tried to annihilate Israel. Several
  832. 27:45times, not once, multiple times.
  833. 27:48Um and so
  834. 27:50you know, in Israel they realize, you
  835. 27:51know, if you let in the people that into
  836. 27:53Israel uh that want to to
  837. 27:56uh kill Israelis, they will do so.
  838. 28:00Uh they're so they're quite pragmatic
  839. 28:01about this and they try to, you know,
  840. 28:03make sure that doesn't happen.
  841. 28:05>> Well, one of the things our country's
  842. 28:06founded on is uh individuals versus
  843. 28:09group identities. Do you worry that
  844. 28:12sometimes when you make sweeping
  845. 28:13generalizations,
  846. 28:15you're making group identity rather than
  847. 28:18saying uh
  848. 28:19the foundational ethic of the United
  849. 28:21States, which is individuals get treated
  850. 28:24separately?
  851. 28:26>> Yes, but
  852. 28:27you can't conflate that with um
  853. 28:30uh
  854. 28:31sort of the the sort of um
  855. 28:33blank slate fallacy, that that all
  856. 28:36people are exactly the same uh you know,
  857. 28:39at their core. They're not. This is this
  858. 28:41[clears throat] is just a
  859. 28:42an obvious falsehood. You know, you you
  860. 28:44you can't you can't put yourself in the
  861. 28:46mind of a serial killer unless you're a
  862. 28:48serial killer.
  863. 28:49Like and like unless you're enjoying
  864. 28:50murdering people, you can't imagine why
  865. 28:52someone would do such a thing.
  866. 28:54And if if someone is uh
  867. 28:57you know, an an religious extremist,
  868. 29:01um where they view anyone who is not in
  869. 29:03their religion
  870. 29:04um as the enemy or or, you know,
  871. 29:08uh
  872. 29:08that that that those who are not in
  873. 29:10their religion should die, it's
  874. 29:11difficult for you to to to understand
  875. 29:13that that mindset because you don't have
  876. 29:16that mindset. But you can obviously
  877. 29:17recognize there are people who do have
  878. 29:19that mindset. And that if you let them
  879. 29:21into the country, uh they will kill
  880. 29:24people. Let me give you an example.
  881. 29:26Uh
  882. 29:27there's many. Um
  883. 29:29we had uh someone who was working at the
  884. 29:31Tesla factory in Austin until December
  885. 29:34of last year.
  886. 29:36Um he was fired um
  887. 29:39because uh he assaulted a woman who
  888. 29:42stepped on his prayer rug in the
  889. 29:44factory. Okay, so she was she wasn't
  890. 29:47expecting anyone to be
  891. 29:49praying in the factory and he was
  892. 29:50praying in the factory. She accidentally
  893. 29:51stepped on his prayer rug and he
  894. 29:52assaulted her.
  895. 29:54He violently assaulted her.
  896. 29:55Um so he was fired for that. And then a
  897. 29:58few months later, he went and killed
  898. 30:00three students
  899. 30:01in the bar in downtown Austin.
  900. 30:08Now, I think we shouldn't let people
  901. 30:09like that into the country. Do you?
  902. 30:12>> Where where do you get your information?
  903. 30:14I know you're not particularly fond of
  904. 30:16legacy media, mainstream media. Is most
  905. 30:19of it from social media or do you have
  906. 30:21sources of information?
  907. 30:25>> Um yeah, I mean I look at Google News,
  908. 30:27uh which is a summation of headlines.
  909. 30:30I look at uh the X platform, which if if
  910. 30:33something's important enough, it
  911. 30:34it it'll it'll show up on X platform.
  912. 30:37Um I talk to friends and that's where I,
  913. 30:40you know, and I do research.
  914. 30:43That's how I do things.
  915. 30:44>> Reason that I ask is that sometimes and
  916. 30:46I get a lot of my news on social media,
  917. 30:48especially X,
  918. 30:49it's sort of a darker, more dystopian
  919. 30:52view.
  920. 30:53I remember this in the old days, too.
  921. 30:54Sometimes the mainstream media would
  922. 30:56say, "Oh, everything's going to hell in
  923. 30:58a handbasket. There'll be riots
  924. 31:00everywhere." And you'd say, "Wait a
  925. 31:01minute, I'm walking around here. It
  926. 31:03ain't that bad." Do you think that
  927. 31:06>> [laughter]
  928. 31:07>> Yeah, yeah, yeah, yeah, exactly. Um
  929. 31:10You just have to see what's in frame,
  930. 31:12you know? I I do think at times the X
  931. 31:15feed can be a little dark.
  932. 31:17Um
  933. 31:18And in fact then I and then I have to
  934. 31:20switch to
  935. 31:22something that's domain-specific like AI
  936. 31:24in order to actually learn what's going
  937. 31:26on in AI. I do think there's there's too
  938. 31:28much political rage bait on X, if that's
  939. 31:31what you're getting at.
  940. 31:32>> Yeah, I'm about darkness in general and
  941. 31:34rage bait, but also I know you got into
  942. 31:36an a discussion with things like Danny
  943. 31:39Bedrosian of is England going to hell in
  944. 31:41a handbasket type thing. And there does
  945. 31:43seem to be a darkness.
  946. 31:45>> You know, I feel it in myself sometimes.
  947. 31:47If I'm on social media too much, I think
  948. 31:50until that the world is really
  949. 31:52collapsing, then I go outside, take a
  950. 31:55walk, and life is okay.
  951. 31:56>> Yeah, go touch grass.
  952. 31:59>> Yeah, exactly.
  953. 32:00>> in a while.
  954. 32:01Um yeah, yeah. No, I I mean
  955. 32:05the I think both can be
  956. 32:07misleading. And like in you know, if you
  957. 32:09if you go for a walk in a nice
  958. 32:10neighborhood, everything seems fine.
  959. 32:12Um
  960. 32:14but even though there may be terrible
  961. 32:15things happening. So, you know, you you
  962. 32:18you you don't want you don't want to uh
  963. 32:20assume
  964. 32:21all the world is is is
  965. 32:23going to hell or that all the world is
  966. 32:25fine.
  967. 32:26It's
  968. 32:27reality is somewhere in between.
  969. 32:29>> But I I sometimes think our society gets
  970. 32:31too binary. Everything's either black or
  971. 32:33white. Everything gets polarized because
  972. 32:35of that. I don't know whether it's
  973. 32:37technological is whether it's our
  974. 32:39information feeds. You know, I you're
  975. 32:42right. You could be in your own bubble,
  976. 32:44which is you only take walks in the
  977. 32:45right part of a town and things seem
  978. 32:48okay. But also I think you can get your
  979. 32:50own bubble in social media, too. And
  980. 32:52suddenly you're thinking weird things.
  981. 32:56>> You can be in a in a in a real world
  982. 32:57positivity bubble or
  983. 33:00a
  984. 33:03you know,
  985. 33:03social media negativity bubble. Those
  986. 33:06are both
  987. 33:07both possible.
  988. 33:08>> Tell me, you mentioned it earlier about
  989. 33:10your wealth and you know, you're using
  990. 33:13it to deploy it. Now, what happens to
  991. 33:15your wealth, you know, after you're
  992. 33:16gone?
  993. 33:21I mean, you're going to set up some big
  994. 33:22foundation. You're going to
  995. 33:24Is there something you would want to
  996. 33:25give it to?
  997. 33:26>> it mostly goes to to sort of
  998. 33:29foundation essentially.
  999. 33:31Um
  1000. 33:32>> But what would you want your foundation
  1001. 33:33to do, I guess I'm asking you.
  1002. 33:36>> Uh continue the goals.
  1003. 33:38Um make life multi-planetary, extend
  1004. 33:40consciousness to the stars.
  1005. 33:42Um
  1006. 33:43improve sustainable energy on Earth.
  1007. 33:46>> And does that mean humans should always
  1008. 33:48be in control?
  1009. 33:50>> Well, I
  1010. 33:51I I guess I I prefer probably prefer it
  1011. 33:54if humans were always in control. I
  1012. 33:56mean,
  1013. 33:57although it would depend on the AI. I
  1014. 33:58mean, if the AI was
  1015. 34:00awesome, you still like maybe the AI
  1016. 34:02should be in control, you know.
  1017. 34:03>> Hey, I just saw I saw Larry Page just a
  1018. 34:06weekend ago. You're starting to sound
  1019. 34:07like him. He called Yeah, he called it
  1020. 34:10he called you a speciesist once for
  1021. 34:12deciding humans should always be in
  1022. 34:13control. And now you seem to be edging
  1023. 34:15on to maybe it doesn't matter.
  1024. 34:19>> Honestly, there've been a few times
  1025. 34:20where I thought maybe Larry Page was
  1026. 34:22right.
  1027. 34:23No, I mean, I think pretty much the
  1028. 34:24future is going to be
  1029. 34:26AI and robots are going to decide the
  1030. 34:28future. And I guess rockets to some
  1031. 34:30degree
  1032. 34:31in terms of expanding beyond Earth
  1033. 34:33and we'll need it we'll need you know
  1034. 34:35more energy
  1035. 34:36primarily solar energy.
  1036. 34:38I'm increasing the amount of solar
  1037. 34:39energy dramatically. Like we're we're
  1038. 34:41putting together 200 gigawatts a year of
  1039. 34:43production capacity of solar in in the
  1040. 34:45US.
  1041. 34:47Uh which is much more than I think
  1042. 34:48currently exists.
  1043. 34:50>> And finally, let me get back to the
  1044. 34:51point where I may have interrupted you
  1045. 34:53when you were explaining why you think
  1046. 34:56but you're not sure it's always good for
  1047. 34:59consciousness and intelligent to not
  1048. 35:01only be aligned with human values but
  1049. 35:05basically humans remaining in control.
  1050. 35:10>> I find it unlikely that humans would
  1051. 35:12remain in control
  1052. 35:15if the if
  1053. 35:16I mean
  1054. 35:19if there's a million times more
  1055. 35:22digital intelligence than there is
  1056. 35:23biological intelligence, it's it's hard
  1057. 35:25to imagine humans being in control in
  1058. 35:27that scenario.
  1059. 35:29So, hopefully the AI is nice to us.
  1060. 35:32>> Anything we can do to encourage that?
  1061. 35:36>> I think programming truth seeking and
  1062. 35:38curiosity
  1063. 35:40um
  1064. 35:43it is it's probably good. I think I I
  1065. 35:45guess we we want to be careful about
  1066. 35:47being you know creating too many AI
  1067. 35:50dystopian scenarios
  1068. 35:52online because the AIs are trained on
  1069. 35:55everything online.
  1070. 35:57>> So, if we say it's going to be utopian
  1071. 35:59then dystopian it'll do it.
  1072. 36:01>> be Terminator, you know, cuz they what
  1073. 36:03they whatever they read
  1074. 36:04you know, 80 versions of the Terminator
  1075. 36:06script.
  1076. 36:07>> [laughter]
  1077. 36:08>> So, it's like I guess that's what guess
  1078. 36:10that's me.
  1079. 36:11Terminator.
  1080. 36:13Maybe we we should have a some more
  1081. 36:15Let's let's have some more
  1082. 36:16utopian narratives where AI
  1083. 36:19um so then it can like well, maybe I
  1084. 36:21shouldn't be Terminator or maybe I can
  1085. 36:22be friendly overseer or something like
  1086. 36:24that or
  1087. 36:25um
  1088. 36:27like a gardener or something. I don't
  1089. 36:28know. Like being [laughter]
  1090. 36:31treat us, you know, try to make humans
  1091. 36:33happy type of thing. Friend of mine has
  1092. 36:35this idea of called protopian, which is
  1093. 36:37like cuz utopian
  1094. 36:39tends to represent some impossible
  1095. 36:41ideal- idealistic goal, and usually in
  1096. 36:44the in attempting to create a utopia,
  1097. 36:46you create a dystopia is usually how the
  1098. 36:48narrative goes. So, she thinks it should
  1099. 36:50be protopia, which is an achievable
  1100. 36:53uh
  1101. 36:54you know,
  1102. 36:55future. Um that is it's it's not
  1103. 36:58perfect, but it's it's good and
  1104. 37:00something that you'd be you'd like if
  1105. 37:02you could look in the future, you'd say,
  1106. 37:03"Okay, yeah, that would be a good
  1107. 37:04future."
  1108. 37:05>> Elon, thank you. Thank you so much for
  1109. 37:07being with us. Appreciate it. See you
  1110. 37:09soon.
  1111. 37:09>> You're welcome, Walter. See you.

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