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Chamath: Bitcoin Goes to Zero, Robots vs. $40T Debt, Elon’s SpaceX Shares for 72M Kids | EP #304 — Transcript

by Peter H. Diamandis · 22,592 words · 3,598 segments · language en · Watch on YouTube

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  1. 0:00I do think that we have achieved AGI. It
  2. 0:02cannot diffuse. And the reason it cannot
  3. 0:04diffuse has nothing to do with the
  4. 0:06technology. It has everything to do with
  5. 0:08the build-up. Until you actually build
  6. 0:10it out so everybody can feel it or a
  7. 0:12plurality of human beings can feel it,
  8. 0:14it's just something that exists in a
  9. 0:16lab.
  10. 0:16>> Welcome to the singularity. Anthropic
  11. 0:19announced the Anthropic Public Benefit
  12. 0:20Fund. 5% is somewhere between 75 to 100
  13. 0:23billion dollars.
  14. 0:24>> I think that these guys kind of walk the
  15. 0:26walk and talk the talk. I don't think
  16. 0:29that there's something nefarious there.
  17. 0:31I think they genuinely believe
  18. 0:32>> Next year, I will give one of my SpaceX
  19. 0:34shares to every kid in America. This
  20. 0:36will be the first of many. There are 72
  21. 0:39million Americans under age 18. So,
  22. 0:41that's roughly 10.5 billion in total,
  23. 0:43146 dollars per kid.
  24. 0:45>> This is really the better version of the
  25. 0:47Giving Pledge.
  26. 0:48>> Teaching this entire generation to own
  27. 0:51equities is a really good move, I think.
  28. 0:53>> Now, the big question, can Trump
  29. 0:55accounts contributed from billionaires
  30. 0:57and Frontier Labs actually move the
  31. 0:59needle to the average American? And I
  32. 1:01think
  33. 1:04>> Now, that's a moonshot, ladies and
  34. 1:06gentlemen.
  35. 1:09This episode is brought to you by the
  36. 1:11Abundance Summit and Link Ventures.
  37. 1:15Welcome Moonshots, everyone. Your number
  38. 1:16one podcast in all things AI and
  39. 1:18exponential. Your front row seat to the
  40. 1:20accelerating singularity. Today, I'm
  41. 1:22here with the original crew. AWG, our
  42. 1:25in-house ASI. Alex, good to see you. You
  43. 1:28changed your orchid today.
  44. 1:29>> No, it's just a flood fill.
  45. 1:31>> Okay.
  46. 1:33Dave Blundin, our impresario of AI
  47. 1:34investing. And Salim Ismail, our warlord
  48. 1:37against linear thinking. Salim, you're
  49. 1:39home.
  50. 1:40>> I am actually home, thank god.
  51. 1:42Loving every second of it.
  52. 1:45>> And from the All-In podcast, the man his
  53. 1:47co-host call Chairman Dictator, Chamath
  54. 1:50Palihapitiya.
  55. 1:52Chamath, a pleasure to have you on our
  56. 1:54crossover episode.
  57. 1:56>> Thank you. It's great to be included.
  58. 1:58>> Now, at the end of this, I you to tell
  59. 2:00me which of the Greek moderators you
  60. 2:02prefer more, me or Jay Kahl, okay?
  61. 2:06>> Okay.
  62. 2:07>> No, Jay Kahl is Greek.
  63. 2:08>> Definitely you.
  64. 2:11>> But for the 1% of people who don't know
  65. 2:13who you are, let me do a proper
  66. 2:14introduction. So, Chamath was born in
  67. 2:16Sri Lanka and grew up in Ottawa with
  68. 2:18very little, working at Burger King to
  69. 2:20help pay the bills, make ends meet. Uh
  70. 2:22he became AOL's youngest vice president,
  71. 2:25then built the growth team that helped
  72. 2:27Facebook to a billion users. And since
  73. 2:30founding Social Capital in 2011,
  74. 2:32he's been on a rocket ship, purchased
  75. 2:3410% of the Golden State Warriors, put
  76. 2:36the first check into Grok, which Nvidia
  77. 2:38just licensed in a $20 billion deal.
  78. 2:41Today, he's a CEO of 80/90, which raised
  79. 2:44$135 million this summer to build the
  80. 2:46world's legacy software with AI.
  81. 2:49Chamath, a pleasure have you on the fun
  82. 2:51side of the podcast universe.
  83. 2:53>> God, the way the way the way you say it,
  84. 2:55it just sounds like it all it all works.
  85. 2:59>> And what you overlooked there, Chamath,
  86. 3:01is shedding all material possessions.
  87. 3:03So, the Golden State Warriors, I guess,
  88. 3:04is going to be off the docket, right?
  89. 3:08>> Uh I I mean, my
  90. 3:09parts of my family still own part of it,
  91. 3:11but I I can't not.
  92. 3:12>> And everybody on Peter Diamandis, your
  93. 3:14host in Abundance Projector. Our mission
  94. 3:16is always help you understand what just
  95. 3:18happened, what it means, keep you
  96. 3:20optimistic and abundance-minded as we go
  97. 3:22through the singularity. And this is
  98. 3:24another crazy week. But before we start,
  99. 3:27I just had the most amazing lunch with
  100. 3:30William Shatner and his son-in-law,
  101. 3:32Joel. So, I spent 2 hours with with
  102. 3:35Captain Kirk, my childhood hero. And he
  103. 3:37was grilling me about uh about
  104. 3:41geothermal energy and what the best
  105. 3:43companies for drilling are.
  106. 3:45>> Mhm.
  107. 3:45>> And I was just so impressed. He's 95
  108. 3:47years old, and the guy has got just an
  109. 3:50incredible passion for life.
  110. 3:52So, and and guess what, Salim? He's
  111. 3:54joining us at Abundance Summit this
  112. 3:56year.
  113. 3:56>> Oh, that's awesome.
  114. 3:58>> Yeah.
  115. 3:58>> I am shocked that Spock wasn't your
  116. 4:00childhood hero.
  117. 4:01>> Nah, nah. He was the guy who got the
  118. 4:03girls, for sure.
  119. 4:04>> Oh, okay.
  120. 4:06>> And the one who was like just pushing
  121. 4:07the universe forward.
  122. 4:09>> Well, Chamath, it's it's incredibly
  123. 4:10awesome to get you on the pod here. Um,
  124. 4:13you know, back during COVID,
  125. 4:15my oldest son, Daniel, came to me and
  126. 4:17said, "I just saw the most amazing
  127. 4:19podcast ever. There actually four people
  128. 4:21on the planet who know what they're
  129. 4:22talking about. You've got to check it
  130. 4:24out." So, it was like a lifesaver
  131. 4:26through that whole, you know, window
  132. 4:28where where everyone was trapped at
  133. 4:29home.
  134. 4:30So, I've been a huge fan ever since. So,
  135. 4:32it's great It's great to meet you.
  136. 4:34>> Thank you for saying that.
  137. 4:34>> Yeah, I think all of us are all in
  138. 4:36podcast fans.
  139. 4:37>> It's the one podcast I never miss, ever.
  140. 4:41>> Really?
  141. 4:42>> Yeah.
  142. 4:43Yeah.
  143. 4:44>> That's a commitment.
  144. 4:44>> Because you So, Saline, you miss this
  145. 4:46one all the time.
  146. 4:47>> I miss all the time. Wait a minute.
  147. 4:49>> How does that work? But, I don't miss
  148. 4:51that one.
  149. 4:51>> Cuz you're someplace on the planet.
  150. 4:53>> Yeah. No, sure. The two podcasts I'll
  151. 4:56listen to is this one when we record it
  152. 4:58and all-in.
  153. 4:59>> Where Where are we?
  154. 5:00>> into the Marvel Cinematic Universe with
  155. 5:02all-in crossover here. I I think where's
  156. 5:04Iron Man? Where's Doctor Strange?
  157. 5:06>> I see. And then we're going to have an
  158. 5:08internal war like Avengers against
  159. 5:10Avengers?
  160. 5:10>> I know. Inevitably.
  161. 5:13>> All right. Let's open with a story
  162. 5:15that's either the most generous move in
  163. 5:16corporate history or the cleverest IPO
  164. 5:19marketing ploy ever. So, on Sunday,
  165. 5:21Anthropic announced the Anthropic Public
  166. 5:23Benefit Fund. Let me read from their
  167. 5:25post. Quote, "Subject to stockholder
  168. 5:27approval, 5% of Anthropic shares will be
  169. 5:29committed today with an additional 2%
  170. 5:32added to the board at the board's
  171. 5:33discretion for every 50% increase in the
  172. 5:36company's value above a set baseline."
  173. 5:39The post continues, "It is common
  174. 5:41practice for tech companies to offer
  175. 5:43escalating compensation awards to their
  176. 5:44executives.
  177. 5:46We are instead directing that equity
  178. 5:48towards public benefit.
  179. 5:50So, uh, what is it worth? Anthropic is
  180. 5:52heading for a roughly $2 $2 trillion
  181. 5:56IPO, though now $1.5 trillion is being
  182. 5:59floated. And at that range, 5% is
  183. 6:01somewhere between 75 to $100
  184. 6:04Uh, now add the founders pledge. When
  185. 6:07Anthropic started, all seven co-founders
  186. 6:09pledged to give away 80% of their
  187. 6:11equity. About half of the employees are
  188. 6:13also pledging shares with a matching
  189. 6:16grant. Anthropic says all together
  190. 6:18roughly 20% of the company is dedicated
  191. 6:21to the public good. Placing it somewhere
  192. 6:23between 300 to 400 billion dollars.
  193. 6:25Uh, compared to OpenAI's uh, Open A
  194. 6:28Foundation's value of 130 to 365
  195. 6:31billion.
  196. 6:32So, um, it's a lot of money going
  197. 6:35towards public benefit. Uh, the
  198. 6:37reactions on X were instant and varied.
  199. 6:39Elon said, "Quote, I recommend giving
  200. 6:42the shares directly to the public. This
  201. 6:43is what I'm going to do." And more on
  202. 6:45this in our second story. AI analyst
  203. 6:47Andrew Curran said, "It sounds to me
  204. 6:50like they're planning their own form of
  205. 6:52self-directed UBI." Brad Gerstner said,
  206. 6:55"It's an extraordinary gift." But warned
  207. 6:57about quote, "Foundation wealth
  208. 6:58concentration." And said, "I hope a
  209. 7:00meaningful portion of AI wealth is
  210. 7:03directed uh, is direct dividends."
  211. 7:05And then Palmer Lucky came out and said,
  212. 7:07"This reeks of USA US Aid 2.0."
  213. 7:11So, Chamath, uh,
  214. 7:12let me go to you first. You're an
  215. 7:14investor. So, is 5% donation right
  216. 7:18before an IPO generous or is it a
  217. 7:21brilliant way to get goodwill?
  218. 7:23>> Uh, I mean I mean I think I think it's
  219. 7:25none of those things. I think it's more
  220. 7:28this is their philosophical bent and um,
  221. 7:31you know, they're staying true to their
  222. 7:33word. I mean, the idea that when you
  223. 7:35start a company you would give up 80% of
  224. 7:37the gains even before you have an idea
  225. 7:40of what the terminal outcome is
  226. 7:42uh, is pretty incredible. So, I think
  227. 7:44that these guys kind of uh, walk the
  228. 7:46walk and talk the talk. I I don't think
  229. 7:48that there's something nefarious there.
  230. 7:50I think they genuinely believe
  231. 7:52that what they're doing is the right
  232. 7:53thing. I think there's a different
  233. 7:55question which is
  234. 7:56if you just look at the history of
  235. 7:59these sorts of philanthropies and
  236. 8:01philanthropically minded efforts, they
  237. 8:03generally don't turn out that well.
  238. 8:05>> Yeah.
  239. 8:06>> Absent of a few.
  240. 8:07And so, I think the real question is
  241. 8:09what is their fail-safe to course
  242. 8:12correct if
  243. 8:14this mean reverts and becomes what
  244. 8:17you know, everything else in the world
  245. 8:19has overwhelmingly looked like when
  246. 8:22philanthropically minded people give
  247. 8:23large sums of money away in big bursts,
  248. 8:25which is, you know, not a lot of
  249. 8:28um quantifiable outcome. I think that's
  250. 8:30the really big question.
  251. 8:31>> You know, one of the critiques I have of
  252. 8:33the Giving Pledge is people are pledging
  253. 8:36half of their Are you a member of the
  254. 8:37Giving Pledge, by the way?
  255. 8:38>> No, the Giving Pledge is I
  256. 8:40mean
  257. 8:40>> Okay, great. Thank you. That's
  258. 8:42So, let me let me be clear.
  259. 8:44Let me be direct, right? So, people
  260. 8:46pledge to give away half their wealth
  261. 8:47while they're still alive, etc., etc.
  262. 8:50But the greatest, you know, the greatest
  263. 8:51ability you have is not just your
  264. 8:53wealth, it's your connections, it's what
  265. 8:54you do. I've always said there should be
  266. 8:56an impact pledge where people, you know,
  267. 8:58pledge their wealth in a measurable,
  268. 9:00impactful way and you monitor it and
  269. 9:03people make a difference
  270. 9:04>> and they came and pitched me about the
  271. 9:06Giving Pledge a decade ago.
  272. 9:08And my take was this thing is
  273. 9:11a scam and the reason is
  274. 9:13>> Yeah.
  275. 9:14>> it's reputation washing because they had
  276. 9:17no
  277. 9:18the the only goal was to put my name on
  278. 9:20a list and to add my number to their
  279. 9:22number so that they could walk around
  280. 9:23with a bigger number.
  281. 9:25And uh I was like, this is the stupidest
  282. 9:27thing I've ever seen and I'm like, what
  283. 9:29do I get in return for all of this? And
  284. 9:32uh you know, it's like you get to go to
  285. 9:33a dinner.
  286. 9:34Um
  287. 9:35>> And feel good.
  288. 9:36>> There's a weekend. We're like there's
  289. 9:37like a get-together weekend.
  290. 9:39And so, look, I think that there's a lot
  291. 9:41of people that probably thought it was
  292. 9:43on the margins the right thing to do,
  293. 9:45but it was pretty
  294. 9:46pretty obvious to me that it was pretty
  295. 9:47stupid. Um
  296. 9:49Yeah.
  297. 9:50>> Didn't Warren Buffett bail out of that
  298. 9:51recently, too? He he signed up.
  299. 9:53>> Well, just recently, but he was he was
  300. 9:55right there at the front end kind of
  301. 9:56like and you know, it's a big deal when
  302. 9:58you say no to these guys a decade ago
  303. 10:00because like it it looks like you're
  304. 10:01doing something wrong and they're do
  305. 10:02some they're doing everything right. But
  306. 10:04it But it
  307. 10:05>> That's a sign of the times, actually.
  308. 10:07There was a lot of social pressure on
  309. 10:09many, many fronts uh that has since
  310. 10:11course-corrected. But, yeah, that was
  311. 10:13that was a one of the first peer peer
  312. 10:15pressure, arm twisted. But, if you said
  313. 10:17no, you get this negative reputation.
  314. 10:19>> here's what I don't understand. What I
  315. 10:20don't understand is like if you're
  316. 10:22capable of making
  317. 10:24incredible gains in society
  318. 10:26economically,
  319. 10:27>> Mhm.
  320. 10:28>> what it probably says about you is that
  321. 10:29you are
  322. 10:30at a minimum clever.
  323. 10:32Um because, you know, sometimes you can
  324. 10:35get lucky, but if you're unlucky,
  325. 10:37um afterwards, you kind of give it all
  326. 10:40back, you know? So,
  327. 10:42in order to sort of like make and
  328. 10:44sustain wealth, you have to be
  329. 10:45relatively clever, well-timed,
  330. 10:47well-read, well-reasoned.
  331. 10:50Um you make all of this progress. What
  332. 10:52What it says about you is actually a
  333. 10:54fair amount. It says that, you know,
  334. 10:56you're you're quite a successful,
  335. 10:58evolved person.
  336. 10:59Doesn't mean that there aren't evolved
  337. 11:01people that don't have money, but it
  338. 11:02just but what I am saying is that the
  339. 11:04people
  340. 11:05uh
  341. 11:05you know, that that typically tend to
  342. 11:07become hyper-successful
  343. 11:10are functional people.
  344. 11:12>> Yeah.
  345. 11:12>> And then the idea that those functional,
  346. 11:15high-achieving people would all of a
  347. 11:17sudden just let some other person that
  348. 11:19they don't know to be smart or capable
  349. 11:22all of a sudden put a bunch of money to
  350. 11:24work sounds stupid. It's like, you're
  351. 11:25the smart one.
  352. 11:27You should put it to work, you know? At
  353. 11:28a minimum, raise your kids because
  354. 11:30they're likely to be as smart as you.
  355. 11:33So, there's all these ways in which you
  356. 11:35can probably think about philanthropy or
  357. 11:37give it away like, you know, Elon's
  358. 11:39doing, which you'll talk about, I'm
  359. 11:40sure, with the Trump accounts.
  360. 11:42There's so many scaled ways to do it.
  361. 11:43This was the the the one that had
  362. 11:45nothing to do with actually achieving
  363. 11:47anything and everything to do with just
  364. 11:48peer pressure and reputation washing.
  365. 11:50>> Yeah, agreed. Uh your greatest gifts are
  366. 11:52not your money, it's your intelligence
  367. 11:55and your relationships and your ability
  368. 11:57to make difference in the world. Uh
  369. 11:58Alex, what's your take on these public
  370. 12:00benefit funds?
  371. 12:02>> Yeah, I think there's an elephant in the
  372. 12:04room. There many elephants in many
  373. 12:06rooms, and this one was what I've called
  374. 12:09a hyper-tithe. Uh the this notion that
  375. 12:12frontier AI labs, which many, not all,
  376. 12:15think are well-positioned to suck up
  377. 12:17much of the value in the economy,
  378. 12:19there's a an increasing anchored
  379. 12:22expectation that they will donate some
  380. 12:25quantum of their equity to the public
  381. 12:28benefit. Maybe it's 5% hypothetically.
  382. 12:315% is of course also the magic number
  383. 12:34that in the US nonprofit foundations are
  384. 12:36required to distribute every year. So, I
  385. 12:39think there was a latent expectation out
  386. 12:41there that Anthropic, probably seeded by
  387. 12:44OpenAI and others, would say take
  388. 12:47five-ish percent of their equity in
  389. 12:49connection perhaps with their
  390. 12:51forthcoming IPO, and that they would
  391. 12:53donate it to a US sovereign wealth fund
  392. 12:56or the 538 Trump accounts or something,
  393. 12:59some way for the general American public
  394. 13:02to benefit from all of their newfound
  395. 13:04liquidity. And the fact, as it appears,
  396. 13:07that Anthropic is not doing that, that
  397. 13:09instead they're creating a private fund
  398. 13:11and not donating 5% to the general
  399. 13:14public, I construe as a snub to this
  400. 13:18particular administration, a snub to the
  401. 13:20idea of a universal basic equity.
  402. 13:23Granted, Congress hasn't acted to create
  403. 13:26a sovereign wealth fund yet, although
  404. 13:28there was some interest from the
  405. 13:29executive last year in doing that.
  406. 13:31Congress hasn't yet acted. I I think
  407. 13:33what the whole world is waiting for
  408. 13:36would be, in in my dream scenario, an
  409. 13:38active Congress, I I don't think this
  410. 13:40could come purely from executive order,
  411. 13:43an active Congress that would create an
  412. 13:45sort of a middle tier of company that's
  413. 13:47halfway between a nonprofit required to
  414. 13:50distribute 5% of their assets per year
  415. 13:52and a general for-profit that
  416. 13:54distributes none of its assets, that
  417. 13:56somehow gives a certain percentage of
  418. 13:58its equity to the US, to to the public,
  419. 14:02to the government or to a sovereign
  420. 14:03wealth fund, which also, I would argue,
  421. 14:05needs to be created in return for
  422. 14:08something. But Congress hasn't done
  423. 14:10that. White House, I think with the best
  424. 14:12of motivations, tried to put together a
  425. 14:15sovereign wealth fund last year, didn't
  426. 14:17quite happen yet. And and I think the
  427. 14:19question that I have is
  428. 14:21in a better world where Anthropic could
  429. 14:24have grown into this it's not quite a
  430. 14:26public benefit corporation, but some new
  431. 14:29class of company that gives up a certain
  432. 14:31percentage of equity, not cash and not
  433. 14:34free cash flow and not income
  434. 14:36to the general public for public
  435. 14:38benefit, what would they get in return?
  436. 14:40To Chamath's earlier point of the giving
  437. 14:42pledge, what would Chamath have wanted
  438. 14:45from giving pledge in a hypothetical
  439. 14:47better world in return for
  440. 14:49>> alone.
  441. 14:49>> To be left alone. So, okay, so maybe
  442. 14:51>> given him half the money if they just
  443. 14:53left me alone.
  444. 14:53>> Well, the Anthropic version of being
  445. 14:55left alone maybe lightness of regulation
  446. 14:59which starts to smell like a safety
  447. 15:00cartel or some sort of light touch
  448. 15:02regulatory treatment, be left alone by
  449. 15:04the government, but something in return
  450. 15:06for giving up 5% of their equity. And I
  451. 15:09think that's the part of the equation
  452. 15:10that's still missing.
  453. 15:11>> Nice. Saleem, thoughts?
  454. 15:14>> Uh two or three thoughts. You know, I
  455. 15:16just this whole construct of
  456. 15:17philanthropy is still a very scarcity
  457. 15:20era response, right? A company becomes
  458. 15:22successful, creates wealth, decides how
  459. 15:25to redistribute it.
  460. 15:27Um I think as we move to kind of an
  461. 15:29exponential abundance world, you you
  462. 15:32need new models of ownership, uh
  463. 15:34participation, and direct access to
  464. 15:38services. I think this is the bigger uh
  465. 15:41challenge. The good news is this is
  466. 15:43actually starting is the beginning of
  467. 15:45the discussion of new economic
  468. 15:48institutions. And I think that's the
  469. 15:49good news around this. It's going to
  470. 15:51force that uh conversation. Because you
  471. 15:54got to distinguish the philanthropy from
  472. 15:56the structural economic reform that's
  473. 15:58needed because we're still taxing labor.
  474. 16:01And that's a kind of an archaic
  475. 16:02structure in a world where AI will take
  476. 16:04over more and more of that.
  477. 16:06>> Yeah. You know, interesting, Dave, the
  478. 16:08uh
  479. 16:08the reality is this philanthropic money,
  480. 16:12if you want to call it that, is actually
  481. 16:13controlled by the for-profit company.
  482. 16:15>> Mhm.
  483. 16:16>> So
  484. 16:17>> Yeah, and And
  485. 16:18and I've been on many many many boards
  486. 16:20and like when you authorize the board to
  487. 16:23contribute another 2% for each 50%
  488. 16:25valuation increase, man, did you just
  489. 16:27make this a stressful board to be on.
  490. 16:30Like how how are you going to make that
  491. 16:31decision? Like you've got the
  492. 16:33shareholders over here saying, "No,
  493. 16:34don't take the dilution." Then you've
  494. 16:36got the public over there saying,
  495. 16:37"You're authorized to do it. What's the
  496. 16:39decision, guys?" That's that's just a
  497. 16:42It kind of punts a really tough choice
  498. 16:44down the road.
  499. 16:45>> I I think there's going to be so much
  500. 16:47demand from the public to own part of
  501. 16:49these companies. I think this is just
  502. 16:51the very beginning of the process by
  503. 16:53which these large hyperscalers start
  504. 16:56having sort of an expectation that part
  505. 17:00of their company, part of their equity
  506. 17:02is going to be distributed. I think this
  507. 17:03is just the early days.
  508. 17:05>> Yeah, well, for anyone who lost the
  509. 17:07thread of the drama here, you know,
  510. 17:09remember Anthropic was born out of
  511. 17:11disgruntled OpenAI people who didn't
  512. 17:13trust OpenAI to be safe with ASI or SI
  513. 17:17now. And so, that was their founding and
  514. 17:20all the MIT people, brilliant brilliant
  515. 17:22researchers that I know that went there,
  516. 17:24went there specifically because they
  517. 17:26trusted Dario to be that voice of sane
  518. 17:29and safe and rational AI. So, that's
  519. 17:31that's core. I think much later when he
  520. 17:35said, "Hey, I only own 1% of this
  521. 17:36company. We need to reclassify our
  522. 17:38shares so the the seven of us are super
  523. 17:40voting control." That could be spun very
  524. 17:43negatively. So, I think now and and you
  525. 17:45look at the memes of Dario, you know, he
  526. 17:47was never memed in a bad light right up
  527. 17:49until recently. Now with the IPO coming,
  528. 17:52like look all over X. I mean, he's he's
  529. 17:54painted in all kinds of different
  530. 17:55lights.
  531. 17:56>> He's the devil incarnate.
  532. 17:57>> Oh, yeah.
  533. 17:58>> It's tough.
  534. 17:59>> No, I think part part of the issue is it
  535. 18:01it really there isn't an established
  536. 18:03regime of broadly established regime for
  537. 18:06the US government to tax equity. It can
  538. 18:08tax income and it can tax cash flows.
  539. 18:12There are there are more exotic ways one
  540. 18:15could imagine for the government to tax
  541. 18:16and distribute equity itself, but
  542. 18:19generally in the US, this is an
  543. 18:21unfamiliar concept. More familiar would
  544. 18:24be the US would the US government would
  545. 18:26tax profits, for example, or capital
  546. 18:29gains, for example, and then distribute
  547. 18:32via whatever means, including stimmy
  548. 18:34checks, cash, free cash to the general
  549. 18:37public. But the government being able to
  550. 18:39tax equity and distribute equity isn't a
  551. 18:43very familiar muscle movement right now
  552. 18:45for the US government overall. And I
  553. 18:48suspect if we're going to get to a
  554. 18:50regime, which many would like to see, of
  555. 18:53universal basic equity or universal
  556. 18:55basic dividends, being able to tax and
  557. 18:58distribute equity, not just cash, I
  558. 19:00think would need to become a new muscle
  559. 19:02movement. And maybe if that existed,
  560. 19:04perhaps Anthropic would be taking a
  561. 19:06different position and not just keeping
  562. 19:08this 5% as a private benefit fund and
  563. 19:11would instead be more open perhaps to
  564. 19:13public distribution.
  565. 19:15>> I think that there's a there's a really
  566. 19:16important concept that was brought up
  567. 19:18earlier. What would the I think the
  568. 19:19question is what is the right
  569. 19:21level of taxation for labor versus
  570. 19:23capital?
  571. 19:23>> Mhm.
  572. 19:24>> Um
  573. 19:25>> Yes.
  574. 19:26>> And
  575. 19:27there probably
  576. 19:29is an argument to be made that
  577. 19:32capital sh- could be taxed much more
  578. 19:36punitively than labor. And that maybe
  579. 19:39labor should not be taxed at all. And
  580. 19:42how would you make that argument? You'd
  581. 19:43probably say that in the
  582. 19:45wealth inequality distribution, the
  583. 19:47percentage of wealth that comes from
  584. 19:49labor versus capital is inversely
  585. 19:51indexed to the place in that hierarchy
  586. 19:54in which you're in. So, the you know,
  587. 19:56first percentile of salaries versus the
  588. 19:5899th percentile of salaries. In the 99th
  589. 20:00percentile of or of wealth,
  590. 20:02you know, the 99th percentile of wealth
  591. 20:03is mostly capital, very little labor,
  592. 20:06I'm I'm guessing. And the opposite would
  593. 20:08be true at the first percentile. And so,
  594. 20:10maybe there's something to be said where
  595. 20:11you just say, you know, as you go up, um
  596. 20:15you have to pay much more incrementally
  597. 20:18um
  598. 20:19for capital.
  599. 20:21Uh
  600. 20:23Which, by the way, has has like an
  601. 20:24interesting effect which it effectively
  602. 20:27is your gate on
  603. 20:30profligate money printing by central
  604. 20:31banks anyways. So, like if they, you
  605. 20:34know, create fake liquidity and that
  606. 20:35ends up in your pocket as capital that
  607. 20:37you could otherwise deploy,
  608. 20:39you know,
  609. 20:39charging larger
  610. 20:41take rates on that is probably not
  611. 20:43unreasonable. Meanwhile, if you tax
  612. 20:44labor at nothing, the people whose
  613. 20:47wealth is 99% labor all of a sudden
  614. 20:49benefit quite deeply. And there's
  615. 20:51probably something that's like very
  616. 20:52simple there that that mathematically
  617. 20:54works and you just have to find the
  618. 20:56break-even point on capital. Uh that may
  619. 20:58be the simplest and most effective thing
  620. 21:01that people could do, I think.
  621. 21:03>> I I I agree I agree with that premise
  622. 21:05and I think maybe there's a concept that
  623. 21:06we're circling which is many would
  624. 21:08regard as unpopular, but the idea of
  625. 21:11taxing capital more effectively, of
  626. 21:13course, historically the problem with
  627. 21:15taxing capital is you want to tax the
  628. 21:17gain, not the capital itself. If you tax
  629. 21:19the capital itself, we're talking about
  630. 21:20wealth taxes in in some sense. And part
  631. 21:23of the problem is wealth taxes, at least
  632. 21:26in many quarters, are wildly unpopular.
  633. 21:28So, in if however, arguendo, if a large
  634. 21:32chunk of the economy's the American
  635. 21:34economy's wealth were concentrated in
  636. 21:36just a handful of entities, then
  637. 21:38suddenly, not proposing this as a
  638. 21:41desirable outcome, but suddenly the idea
  639. 21:43of a wealth tax becomes a lot more
  640. 21:45practical because the US government
  641. 21:47could by hook or by crook say to say all
  642. 21:49of the frontier labs, I want to tax a
  643. 21:51few percent of your wealth in return for
  644. 21:53following XYZ positive treatment. I I
  645. 21:56suspect that's where this may go, but I
  646. 21:58guess we'll find out.
  647. 21:59>> Mhm.
  648. 22:00>> Well, let's move on to the
  649. 22:01>> slippery slope. It's a very slippery
  650. 22:03slope to try to find define wealth.
  651. 22:05>> This episode is sponsored by Google for
  652. 22:06Startups. Think about this for a second.
  653. 22:09You now have access to the same
  654. 22:11generative AI models that cost hundreds
  655. 22:13of millions of dollars to train.
  656. 22:15Google's Startup Technical Guide for
  657. 22:17Generative Media gives you a complete
  658. 22:19blueprint for deploying Google
  659. 22:21DeepMind's models in production. Images,
  660. 22:24video, audio, all of it. Real
  661. 22:26architecture, real results.
  662. 22:28Find the link in the show notes below.
  663. 22:32Let's move on to the second shoe to
  664. 22:34drop. So, Elon just in criticized
  665. 22:36Anthropic. Within hours, he answered.
  666. 22:39So, early Monday morning on X, he said,
  667. 22:41"Next year, I will give one of my X my
  668. 22:43SpaceX shares to every kid in America.
  669. 22:45This will be the first of many."
  670. 22:47He had 520,000 likes and 27 million
  671. 22:50views in less than a day. President
  672. 22:52Trump responded, quote, "A big thank you
  673. 22:54to our legendary friend at Elon Musk for
  674. 22:57his incredible generosity in giving
  675. 22:59SpaceX stock to millions of American
  676. 23:01children through Trump accounts.
  677. 23:03This is exactly what was envisioned when
  678. 23:05we created Trump accounts, bringing
  679. 23:07together the great private sector, Elon
  680. 23:09and so many more to invest in our
  681. 23:11children, by far our greatest, most
  682. 23:13important asset, and give every American
  683. 23:16child a piece of American dream. Thank
  684. 23:18you, Elon." So, let's do the math for a
  685. 23:20second. There are 72 million Americans
  686. 23:22under age 18,
  687. 23:24and SpaceX current stock price about 148
  688. 23:27bucks today. So, that's roughly 10.5
  689. 23:29billion in total, 146 dollars per kid,
  690. 23:33about 1.1% of Elon's stake being shared.
  691. 23:37Uh for context, last December, Michael
  692. 23:39and Susan Dell gave 6.25 billion, uh
  693. 23:42about 250 bucks exactly, to Trump
  694. 23:45accounts for 25 million children. Unlike
  695. 23:47the Dell gift of cash, Elon's
  696. 23:49transferring equity, and honestly, you
  697. 23:52know, ownership beats handouts. I think
  698. 23:54we would all agree with that, and a
  699. 23:55paycheck gets spent and shares compound.
  700. 23:59So, we previously talked about SpaceX
  701. 24:01hitting 10 trillion, 100 trillion
  702. 24:03dollars, and Elon's recent prediction
  703. 24:06that SpaceX could become, quote, "worth
  704. 24:08orders of magnitude more than the
  705. 24:09current Earth economy."
  706. 24:11Um the replies on X were classic. The
  707. 24:14top reply with 30,000 likes was, quote,
  708. 24:17"I identify as a kid in America."
  709. 24:19So, now the big question, can Trump
  710. 24:21accounts contributed from billionaires
  711. 24:23and Frontier Labs actually move the
  712. 24:25needle for the average American? And I
  713. 24:28think the answer is probably no. So, the
  714. 24:30average US household is pulling in
  715. 24:33$87,000 a year and to pay every American
  716. 24:36just 10,000 a year takes about 2.6
  717. 24:39trillion per year.
  718. 24:41So, anthropic and Elon's philanthropy is
  719. 24:43really just, you know, kind of a
  720. 24:45gesture, not a funding source. Even the
  721. 24:48biggest fortunes on Earth are just
  722. 24:50one-time paychecks.
  723. 24:52So, Chamath, you know, you've spoken in
  724. 24:54the past about a birth dividend. I love
  725. 24:56that idea in which the government invest
  726. 24:58$2,000 for every newborn in the market,
  727. 25:02locked in until age 65.
  728. 25:05I'm wondering if Elon's going to put a
  729. 25:06lock-in requirement on his on his shares
  730. 25:09as well. I hope he does, so it's not
  731. 25:11just, you know, liquidated and spent
  732. 25:14right out the bat. So, what do you think
  733. 25:16of Elon's move here, Chamath?
  734. 25:19>> I think it's great. I think that this is
  735. 25:21really the better version of the giving
  736. 25:23pledge.
  737. 25:23>> Yeah.
  738. 25:25>> I think that this is the this is the
  739. 25:27right way for most of us who want to
  740. 25:30contribute and don't have the
  741. 25:31infrastructure or the capacity to
  742. 25:33understand how to discern what is a good
  743. 25:35nonprofit from a bad nonprofit from a
  744. 25:37good NGO from a bad NGO.
  745. 25:40Um
  746. 25:41direct contributions into the accounts
  747. 25:43of kids who can then be a participant in
  748. 25:46the
  749. 25:48experiment that is capitalism and
  750. 25:49democracy in the United States is a
  751. 25:51no-brainer. I think it's I think it's
  752. 25:53it's like
  753. 25:54unbelievably impressive and unbelievably
  754. 25:56generous and I think that it has a
  755. 25:59it has a lot of legs.
  756. 26:00>> Yeah, it's it's great. I my kids, every
  757. 26:03dollar they earn, they split out half of
  758. 26:05it into saving it into into stocks.
  759. 26:08They've all put it into SpaceX. I wonder
  760. 26:09where they got influenced like that.
  761. 26:11And then savings and and philanthropy
  762. 26:14and then their spending budget. Dave,
  763. 26:17I'm curious, 72 million people now own
  764. 26:19SpaceX shares at the end of this.
  765. 26:22Is that a risk if they dump it? You
  766. 26:24know, what's that going to do to the
  767. 26:25stock? Uh
  768. 26:26>> No, no, no, it's 1%. Like you like you
  769. 26:28said, it's not going to move the needle
  770. 26:29if they all dump it. But I think the uh
  771. 26:33the reason this is brilliant is because
  772. 26:35we've all discussed on this pod before
  773. 26:36that the future of value comes through
  774. 26:38asset ownership and not through
  775. 26:39employment, not through paychecks cuz
  776. 26:41what is AI not going to do 2 years from
  777. 26:43today, 3 years from today? I was over at
  778. 26:45MIT actually yesterday talking to a
  779. 26:47bunch of under, you know, undergraduates
  780. 26:49and like, your window of opportunity to
  781. 26:51tap your big MIT brain is about the next
  782. 26:542 years.
  783. 26:55But do you really think that AI can
  784. 26:57outthink you in every conceivable way
  785. 26:59more than 2 years from today? I mean, it
  786. 27:01like that is your window of opportunity.
  787. 27:02You got to move fast. But that doesn't
  788. 27:04mean wealth goes away. It all moves to
  789. 27:06asset value. So So teaching this entire
  790. 27:08generation to own equities
  791. 27:10>> Yeah.
  792. 27:10>> is a really good move, I think. And And
  793. 27:13yeah, if they dump it, well, then their
  794. 27:14friends will tell them they're idiots
  795. 27:15for dumping it when SpaceX, you know,
  796. 27:17Elon, you said a second ago that this
  797. 27:19doesn't move the needle on the needs of
  798. 27:21Americans, but Elon believes SpaceX is
  799. 27:23going to be bigger than the current
  800. 27:25total global economy.
  801. 27:26>> Yeah, 1 to 10 quadrillion dollars was
  802. 27:29the estimate.
  803. 27:30>> Yeah.
  804. 27:31>> It becomes a
  805. 27:31>> maybe he's right, maybe he's wrong, but
  806. 27:33but that'll keep these kids engaged with
  807. 27:35each other. The ones that dump it will
  808. 27:37be talking to the ones who didn't.
  809. 27:38Something good is going to come out of
  810. 27:39that conversation. I I think it's really
  811. 27:41cool.
  812. 27:41>> Saleem, your thoughts, pal?
  813. 27:43>> Um Chad, very quickly, just to build on
  814. 27:45what Dave said, I think the fact that
  815. 27:47you get all of these kids looking at at
  816. 27:50the Now you have broad participation in
  817. 27:52in the appreciation of capital, I think
  818. 27:54is a really good thing. I think that's
  819. 27:56the conversation that's going to make
  820. 27:58the much, much bigger difference, like a
  821. 28:00100x compared to the actual dollar
  822. 28:01amount, because now all these kids are
  823. 28:03thinking in that modality as they grow
  824. 28:05up, watching this, comparing it, seeing
  825. 28:08who sold, who didn't sell. It's awesome
  826. 28:10as a conversation.
  827. 28:12>> I also think this might set a trend, you
  828. 28:13know, what what if all other public, you
  829. 28:16know, newly public companies that want
  830. 28:18to be cool with the next generation just
  831. 28:20follow the same trend. Then then, you
  832. 28:22know, you get 50, 100, 200 copycats,
  833. 28:24then it really does move the needle.
  834. 28:26>> Yeah.
  835. 28:26>> Yeah, I think it moves the needle and
  836. 28:27>> I don't know if you guys have worked in
  837. 28:28companies that have had um ESPP plans,
  838. 28:32but employee share purchase plans where
  839. 28:33you contribute on a you know, quarterly
  840. 28:35basis and at the end of the quarter they
  841. 28:37buy it at they buy you that defined
  842. 28:39amount of stock at the
  843. 28:42low point of the quarter.
  844. 28:43Um there's all of these mechanisms that
  845. 28:47induce you to buy the stock of the place
  846. 28:49that you work to your point. So, if if
  847. 28:51all work workers and employers
  848. 28:54embrace this, I think it's a big deal. I
  849. 28:55also think that this starts to start
  850. 28:57this begins the very difficult contribu-
  851. 29:00conversation about moving from defined
  852. 29:01benefits to defined contributions.
  853. 29:04And it shines a light on the fact that
  854. 29:07these defined benefit retirement
  855. 29:09programs are insufficient and they're
  856. 29:10poorly funded. And um when you see on
  857. 29:13the other side, you know, people will
  858. 29:15say, "Well, why can't we do more forms
  859. 29:16of defined contributions?"
  860. 29:18And that'll be the right conversation.
  861. 29:20And I think it you have to have a
  862. 29:21starting point. So, I think that Trump
  863. 29:23accounts and, you know, Elon's gift, I
  864. 29:25think starts that conversation. Which is
  865. 29:27very important.
  866. 29:28>> Alex, you know, Elon said this will be
  867. 29:30the first of many. Uh I'm curious if
  868. 29:33this is going to start setting
  869. 29:34expectations by all the public of
  870. 29:36Frontier Labs.
  871. 29:38>> Yeah, maybe. I I think other than the
  872. 29:40obvious universal basic equity angle, I
  873. 29:42think it's also potentially very clever
  874. 29:44marketing. Imagine an entire generation
  875. 29:46of Americans who feel economically
  876. 29:48aligned with the outcome of presumably a
  877. 29:51merged SpaceX Tesla. Suddenly everyone
  878. 29:54owns equity not in the general market,
  879. 29:57which arguably would be a a a slightly
  880. 29:59better outcome for democracy, but
  881. 30:01everyone owns a share in one company.
  882. 30:04That this is the one company that every
  883. 30:06American owns a share of and now feels
  884. 30:08economic alignment with, maybe
  885. 30:10regulatory alignment. Think of all that
  886. 30:13I was out in California in Santa Monica,
  887. 30:15Peter, your neck of the woods, and
  888. 30:17walking down Santa Monica Place, and
  889. 30:20there was one of these protests, call it
  890. 30:24protesting Elon right in front of the
  891. 30:25Tesla dealership there. Imagine an
  892. 30:28alternative America
  893. 30:29>> of public of Santa Monica, for sure.
  894. 30:31>> Yeah, imagine an alternative America
  895. 30:33where every person in a generation owns
  896. 30:35an economic stake in Elon's prolific
  897. 30:38economic output. Would that be a very
  898. 30:40different political America? I think it
  899. 30:43probably would be.
  900. 30:43>> I think it's a brilliant move. I you
  901. 30:45know, I texted with him uh about 4
  902. 30:47months ago. I was trying to see if he
  903. 30:49would fund a $10 billion
  904. 30:52actually
  905. 30:53$10 X prizes and he goes, "Interesting,
  906. 30:57but I'm going to give my shares away."
  907. 30:58And so he's been thinking about this for
  908. 31:00some time. Um Alex, you just mentioned
  909. 31:03and it's in the news today that Musk
  910. 31:05says Tesla and SpaceX have formed
  911. 31:06special committees to discuss the
  912. 31:08merger. So that game is a foot, not a
  913. 31:11surprise.
  914. 31:12>> Isn't that the obvious next move after
  915. 31:14the Tesla Roadster? I we didn't get a
  916. 31:16chance to to talk about it as a full
  917. 31:18group, but in my mind the Roadster
  918. 31:21announcement that the car hops, it
  919. 31:23doesn't hover. What was the point of
  920. 31:25that? In my mind, it was 90%
  921. 31:28just to to secure or help to secure a
  922. 31:31Tesla SpaceX merger.
  923. 31:33>> Yeah.
  924. 31:34For sure.
  925. 31:35Well,
  926. 31:36I I I love this and and kudos to Elon
  927. 31:40for for making this happen.
  928. 31:42Um
  929. 31:43you know
  930. 31:45it's one other point, you know, Elon's
  931. 31:47talked about universal high income and I
  932. 31:50think the only way this materializes if
  933. 31:52everybody gets a piece of the pie and
  934. 31:54grows with it, right? They couple to the
  935. 31:57singularity. They don't sort of like go
  936. 31:59off the off-ramp here.
  937. 32:02Anyway, um
  938. 32:03so our next story I want to hit on is a
  939. 32:06three-part series of clips coming from
  940. 32:09the Walter Isaacson interview with Elon
  941. 32:11today
  942. 32:12published on Builders. In our first
  943. 32:15clip, Isaacson asked Elon
  944. 32:17you know, whether we're heading towards
  945. 32:19a post-capitalist world. Elon said
  946. 32:22money's going to stop being relevant at
  947. 32:24some point in the future.
  948. 32:26>> future look like
  949. 32:27>> money becomes irrelevant. I mean
  950. 32:29there will be still currency, but I
  951. 32:31think currency will be measured in
  952. 32:32fundamental physics metrics like um
  953. 32:35you know, power, wattage and tonnage.
  954. 32:38mass and energy
  955. 32:40You measure power in joules.
  956. 32:42So,
  957. 32:43um
  958. 32:46But eventually currency will not matter
  959. 32:47in the future. So, that that's that's
  960. 32:50that's my guess. I think it's pretty
  961. 32:51obvious.
  962. 32:52Um and in in the sense you start getting
  963. 32:55too many orders of magnitude bigger than
  964. 32:56than Earth's economy,
  965. 32:58um satisfying whatever humans can
  966. 32:59possibly think of for their needs is is
  967. 33:02very easy. You know, if you're several
  968. 33:04orders of magnitude bigger than the
  969. 33:05Earth's economy, um
  970. 33:07then
  971. 33:08providing humans with whatever goods or
  972. 33:10services they can think of that they
  973. 33:11might want is is trivial.
  974. 33:14>> And so, what do we do then?
  975. 33:16>> As humans.
  976. 33:17>> What gives us meaning? How do we
  977. 33:19organize ourselves?
  978. 33:20>> I mean, you struggle with this question.
  979. 33:22People will will will find
  980. 33:25ways to be happy
  981. 33:26in the in the same way that there were
  982. 33:28people who retire seem to be relative
  983. 33:29you know, fairly happy even though
  984. 33:30they're not working. But I think the
  985. 33:32reality is that you humans will not
  986. 33:34They won't They won't be anything that
  987. 33:35humans can do that that they the AI and
  988. 33:37the robots can't do better.
  989. 33:38>> So, you know, if currency's being
  990. 33:40measured in watts and tons, whoever owns
  991. 33:42the power plants, the mines, and the
  992. 33:44rockets owns the money supply.
  993. 33:47Uh and today it's a pretty short list.
  994. 33:48So, Chamath, you've locked up what,
  995. 33:50nearly 6 gigawatts of power? Um do you
  996. 33:53feel like you're holding, you know,
  997. 33:55humanity's future currency?
  998. 33:58>> Yeah, I'm very aligned with what he's
  999. 33:59saying. I think the the different way of
  1000. 34:01thinking about this,
  1001. 34:03um less eloquent, but um may make sense
  1002. 34:06is that at some point you can only
  1003. 34:08debase a fiat currency so much until it
  1004. 34:10becomes fundamentally worthless and you
  1005. 34:11have to shift to an alternative way of
  1006. 34:14measuring value. And if you instead move
  1007. 34:17the measurement to what is the
  1008. 34:21uh implied energy or the implied um
  1009. 34:25effort
  1010. 34:26uh that that currency gives you, I think
  1011. 34:29that that's a more symbolic
  1012. 34:31representation of future value. So, you
  1013. 34:33know, take a cryptocurrency that takes,
  1014. 34:36I don't know,
  1015. 34:38n number of watts to computer, you know,
  1016. 34:41n number of joules or whatever, that's
  1017. 34:44a more valuable thing in the future than
  1018. 34:47pick your fiat currency on which, you
  1019. 34:50know, it's just completely uncoupled to
  1020. 34:53any form of value. So, if this one asset
  1021. 34:55actually has, you know, some amount of
  1022. 34:57effort that was burned to make it, and
  1023. 34:59the other one was just a decision by a
  1024. 35:01bureaucrat, I think the latter becomes
  1025. 35:03far less useful. So,
  1026. 35:06the the question is probably like what
  1027. 35:08what How do these assets trade in a more
  1028. 35:10fungible way and as a mechanism of
  1029. 35:11exchange? And I I think
  1030. 35:13typically or I I think if I had to
  1031. 35:15guess, it would be more like you have
  1032. 35:17things like data centers, things like
  1033. 35:19power plants, things like turbines,
  1034. 35:20things like net gas supplies.
  1035. 35:22So, you have this effectively like
  1036. 35:24embedded compute, embedded energy, and
  1037. 35:26around that you have some sort of like
  1038. 35:28crypto token that represents some unit
  1039. 35:30of that access, and that's how you
  1040. 35:31exchange value.
  1041. 35:32>> Interesting. Um,
  1042. 35:34you know, he's talked about a
  1043. 35:36post-capitalist society for some time.
  1044. 35:38You know, he's famously said, "Don't
  1045. 35:39save for the future."
  1046. 35:41Do you Do you sort of concur with that?
  1047. 35:44>> Well, I think I think what I would say
  1048. 35:46is maybe slightly different is like
  1049. 35:47yeah, I think like saving in the
  1050. 35:49conventional sense is what we've all
  1051. 35:51been taught to do. There hasn't been a
  1052. 35:53bridge that's been created where you can
  1053. 35:55save in an alternative sense and these
  1054. 35:57other new forms. So, a different way
  1055. 36:00where one could save in a in a new form
  1056. 36:03of value would be where when you have
  1057. 36:06enough local compute, um, you
  1058. 36:08participate in the economy in a way
  1059. 36:11where now you actually do represent
  1060. 36:12value. Um, and that's different in a in
  1061. 36:16a traditional sense where the work that
  1062. 36:18which we get paid for today effectively
  1063. 36:20goes away because it's done largely via
  1064. 36:22AI, and so the compensation for that
  1065. 36:25work then changes materially. But on the
  1066. 36:27other hand, if you have resources that
  1067. 36:29you can put into different pools to
  1068. 36:31accomplish different tasks,
  1069. 36:33that I think will have value. So, that
  1070. 36:35is sort of how I think people would will
  1071. 36:37make that transition.
  1072. 36:39>> You know, Alex, we've been talking on
  1073. 36:40the pod for a while that GDP sucks as a
  1074. 36:42measure. So, we're we're to get a
  1075. 36:44Kardashev scale as a new measure of
  1076. 36:46of wealth for a country?
  1077. 36:48>> Maybe. The premise of the Kardashev
  1078. 36:50levels though is energy output, and I'm
  1079. 36:52not convinced I'm not as convinced as
  1080. 36:54perhaps others are that energy wants to
  1081. 36:57be the ultimate unit of currency. I
  1082. 36:59suspect it'll be something more exotic
  1083. 37:02or to Elon's point entirely irrelevant
  1084. 37:04and not even the right question. I have
  1085. 37:06conversations with AIs or SIs all the
  1086. 37:09time about what the future capitalism
  1087. 37:12looks like, what the future of economics
  1088. 37:14looks like. My working hypothesis is
  1089. 37:16that 30 years from now it will just look
  1090. 37:19unrecognizably different and we'll look
  1091. 37:22back on conversations like, well, is is
  1092. 37:25energy, is land, is powered land, are
  1093. 37:27these the right units of currency? We'll
  1094. 37:29look back and we'll laugh at these
  1095. 37:31discussions.
  1096. 37:31>> Intermediately they will be.
  1097. 37:32Intermediate values.
  1098. 37:33>> Oh, I totally agree with you, but
  1099. 37:35>> The the terminal the terminal, who
  1100. 37:36knows? I totally agree with you.
  1101. 37:38>> Yeah. I I I suspect
  1102. 37:39>> By the way, the GDP thing I agree with
  1103. 37:41you as well. GDP
  1104. 37:41>> is so so dumb. So basic.
  1105. 37:43>> Elon loves his little parable of people
  1106. 37:46passing feces back and forth or or
  1107. 37:48whatever and calling that GDP.
  1108. 37:49>> let that hang. You got to tell the
  1109. 37:51actual story. We we have it in the past.
  1110. 37:53Look at the Elon interview podcast, you
  1111. 37:55can get the
  1112. 37:55>> I I I shorthanded Elon but politely. But
  1113. 37:58I I I I I do think that if I had to
  1114. 38:01guess what does the successor call it
  1115. 38:03capitalism 2.0 Charlie Stross style to
  1116. 38:06money look like, I suspect imagine a
  1117. 38:09world imagine a world where 30 years
  1118. 38:12from now
  1119. 38:13the ability to make intelligent resource
  1120. 38:17allocation and other allocation
  1121. 38:18decisions is a lot easier. Right now
  1122. 38:21it's hard to intelligently allocate
  1123. 38:24capital, so it all gets pushed to the
  1124. 38:26edge and we we live in an eye pencil
  1125. 38:28world where all of the decisions live at
  1126. 38:30the edge. Imagine alternatively, without
  1127. 38:33this being misconstrued as some sort of
  1128. 38:35centralized planning or communist
  1129. 38:37utopian vision, imagine a world where
  1130. 38:41human civilization, thanks to
  1131. 38:42superintelligence, is just so smart that
  1132. 38:45it's able to model its own needs and
  1133. 38:47doesn't need to push resource allocation
  1134. 38:49decisions to the edge. So, the notion of
  1135. 38:52a currency as a way to do distributed
  1136. 38:54resource planning doesn't make any sense
  1137. 38:56and instead intelligent decisions I
  1138. 38:59don't want to say can be centralized
  1139. 39:00because I think that's probably also the
  1140. 39:02wrong metaphor, but they can be done
  1141. 39:04>> technological
  1142. 39:06come
  1143. 39:06>> No, I I don't want to imply centralized
  1144. 39:08planning. I want to imply that humanity
  1145. 39:10as a whole becomes so super intelligent
  1146. 39:12that all of civilization is capable of
  1147. 39:15making to the extent anything remains
  1148. 39:17scarce is capable as a whole of making
  1149. 39:19those decisions and as a result money
  1150. 39:21changing hands between individual actors
  1151. 39:23makes a lot less sense.
  1152. 39:25>> Mhm. Dave, you were saying
  1153. 39:26>> Well, Kardashev, you know, we're talking
  1154. 39:2830 years in the future for everything to
  1155. 39:30be in space, but between here and 30
  1156. 39:32years
  1157. 39:33it's mostly terrestrial and it's we're
  1158. 39:35not going to get another chance to have
  1159. 39:36a guy who has 6 gigawatts locked up
  1160. 39:39to pick his brain. I mean, this is such
  1161. 39:41an incredibly brilliant investment. But
  1162. 39:44we know, you know, from I don't know
  1163. 39:46Chamath if you're invested in Positron
  1164. 39:47or LightQ or we have our company
  1165. 39:49LightWave, there's a lot of efficiency
  1166. 39:51coming to data centers
  1167. 39:53and as the chip costs get undercut by
  1168. 39:56new designs, the power costs are still
  1169. 39:59there.
  1170. 40:00And so, right now when people build
  1171. 40:01these data centers, they think, "Oh,
  1172. 40:03well, it's only 10% power cost. The
  1173. 40:04other 90% all goes to Nvidia." But
  1174. 40:07that's going to invert and the power
  1175. 40:09costs will still be there.
  1176. 40:11So, I think between here and 30 years
  1177. 40:13from now Elon is exactly right. The
  1178. 40:15currency that is most dominant in that
  1179. 40:18next 30-year window is wattage and
  1180. 40:21tonnage. Tonnage to build the data
  1181. 40:23centers, wattage to power them. But I
  1182. 40:26think if you if you can find a power
  1183. 40:28supply
  1184. 40:29today, it's the investment theme of the
  1185. 40:32decade by far and and Chamath, I'd love
  1186. 40:34to get your thoughts on like you got an
  1187. 40:36early start on this. I don't know if you
  1188. 40:37did it secretly or how it accumulated,
  1189. 40:40but love to get your insights for the
  1190. 40:41audience.
  1191. 40:42>> The I think the the the way to think
  1192. 40:44about it is when you look at load
  1193. 40:45growth, just take the United States cuz
  1194. 40:47I think that's a more tractable example.
  1195. 40:49When you look at the
  1196. 40:51load growth and you look at the sources
  1197. 40:52of load growth, they're relatively
  1198. 40:55pedestrian. It's more electric cars,
  1199. 40:58more electric fridges, more electric
  1200. 41:00televisions, PCs, laptops,
  1201. 41:02and data centers, but it's just broadly
  1202. 41:05speaking that we are more of an
  1203. 41:06electrified society. So, there's just
  1204. 41:09like this
  1205. 41:10you know, this demand of of a need for
  1206. 41:12electrons, basically.
  1207. 41:14And then when you look on the supply
  1208. 41:15side, there's huge issues even if you
  1209. 41:18assume that every project that's planned
  1210. 41:21actually gets not only permitted and
  1211. 41:24greenlit, but also built on time and on
  1212. 41:25budget.
  1213. 41:27And when you net those two things out by
  1214. 41:282050, we're still 1.4 terawatt hours
  1215. 41:31short, which is effectively six
  1216. 41:33California's worth of electricity.
  1217. 41:35So, there is no world in which we catch
  1218. 41:36up. And then people's reflexive reaction
  1219. 41:39to that is but nuclear.
  1220. 41:41And I'm like, well, I I just think like,
  1221. 41:43you know, the problem with SMRs as an
  1222. 41:45example is the S in the MR. It's like,
  1223. 41:48you know, what people don't realize is
  1224. 41:50it's the same unit effort to get an SMR
  1225. 41:52approved as an MR approved. Um or as an
  1226. 41:55R approved as an LR approved, a large
  1227. 41:57reactor.
  1228. 41:59Uh because, you know, you're going
  1229. 42:00through state local
  1230. 42:03ordinances and people and conflicts and
  1231. 42:05pushback and all of this stuff that does
  1232. 42:07not change whether the form factor is it
  1233. 42:09goes under your daughter's bed or it
  1234. 42:11sits, you know, over there and it's it's
  1235. 42:13gigantic.
  1236. 42:15So, we're we're just massively short,
  1237. 42:17and that's where my thesis started,
  1238. 42:19which was just that observation. Then,
  1239. 42:22you know, where I spent a little bit
  1240. 42:23of well, not a little bit, a lot of my
  1241. 42:25time
  1242. 42:26was what is the most
  1243. 42:28tractable all of the above solution set?
  1244. 42:30Because, you know, once you realize that
  1245. 42:32we're so short,
  1246. 42:35you immediately abandon all of the
  1247. 42:37rhetoric around climate change cuz
  1248. 42:38you're like, just give give it give any
  1249. 42:40give me anything.
  1250. 42:41Oil, nat gas, coal, wind, solar,
  1251. 42:45nuclear. And if you look at them all on
  1252. 42:48just a total, you know, cost basis,
  1253. 42:51what jumps off the page is um
  1254. 42:54solar is slightly a little bit more
  1255. 42:56expensive than wind,
  1256. 42:58of but they're the cheapest. Um but it's
  1257. 43:00just much faster. It's 2 years, it's do
  1258. 43:02no harm, it's plunk it on the ground,
  1259. 43:04and off off you go.
  1260. 43:06So, I spent a just a bunch of time
  1261. 43:08accumulating solar assets.
  1262. 43:09And then that accidentally led me into
  1263. 43:11the data centers because it was like,
  1264. 43:13you know, through in Nvidia and Grok,
  1265. 43:15what I realized was, my gosh,
  1266. 43:17um the capacity build-out was so upside
  1267. 43:20down because of all these constraints.
  1268. 43:22Um because the data center is like this
  1269. 43:23incredibly temporal moment where
  1270. 43:26all energy and ener- energy meaning like
  1271. 43:29people's energy, ire, anger, they all
  1272. 43:31meet right there. And so, you know, you
  1273. 43:33have you have the permitting issues, you
  1274. 43:36have the pushback issues, you have the
  1275. 43:37political issues, you have pushback
  1276. 43:39against the oligarchy, you have
  1277. 43:40capitalism, you have wealth inequality,
  1278. 43:41all concentrated in that thing.
  1279. 43:44Um and so, you know, about uh 2 years
  1280. 43:46ago, I started to kind of parcel
  1281. 43:48together
  1282. 43:49um assets that I thought would be
  1283. 43:51valuable in a world where
  1284. 43:53that looks like it is it is the scarcest
  1285. 43:54asset.
  1286. 43:55>> Not a good That's how I under- That's
  1287. 43:56how I underwrote it. That's That's
  1288. 43:58impressive. That pays
  1289. 43:59>> Yeah, it's not it's not it's not It
  1290. 44:01wasn't cheap. It wasn't cheap.
  1291. 44:03But uh
  1292. 44:04But and by the way, just to be clear,
  1293. 44:06there's huge issues with that. Meaning,
  1294. 44:08even when you have these assets,
  1295. 44:10um when you actually try to get them
  1296. 44:12turned on and get them built, my gosh,
  1297. 44:14it's incredibly complicated. The funding
  1298. 44:16cycle is very complicated. The supply
  1299. 44:19chain is very complicated. The labor
  1300. 44:21shortages on critical people because
  1301. 44:22these are licensed, you know, skilled
  1302. 44:24workers. You can't just, you know, grab
  1303. 44:26some bumpkin off the street or go to
  1304. 44:28like, you know, uh I don't know,
  1305. 44:30Craigslist. Like I mean, you have to go
  1306. 44:32and find like a licensed master
  1307. 44:33electrician. They're very, very hard to
  1308. 44:35find. They cost a lot of money. When you
  1309. 44:37start to put all of this stuff together,
  1310. 44:39um
  1311. 44:40we are probably going to see a massive,
  1312. 44:42massive, massive compute shortage in the
  1313. 44:44next 3 or 4 years. Massive.
  1314. 44:46>> Absolutely.
  1315. 44:46>> Um massive.
  1316. 44:48>> So, the fact that you said that cuz so
  1317. 44:50many so many people explode
  1318. 44:52Well, so many people come back and say,
  1319. 44:54"What What are we going to do? What's my
  1320. 44:55purpose? Where Where's my mission?"
  1321. 44:57Everything you just outlined is
  1322. 44:58mentioned for the
  1323. 44:59>> 5 years.
  1324. 45:00>> Yeah, exactly.
  1325. 45:01>> All this All this whole Look, I do think
  1326. 45:03that we have achieved AGI. It cannot
  1327. 45:06diffuse. And the reason it cannot
  1328. 45:07diffuse has nothing to do with the
  1329. 45:09technology. It has everything to do with
  1330. 45:11the build-up. And until you actually
  1331. 45:13build it out so everybody can feel it or
  1332. 45:15a plurality of human beings can feel it,
  1333. 45:18it's just something that exists in a
  1334. 45:19lab. Now, that has value. Don't get me
  1335. 45:22wrong, but I would not underestimate
  1336. 45:26um the difficulty. And if you look at,
  1337. 45:27for example, the Anthropic S1 that just
  1338. 45:29dropped today,
  1339. 45:31it's shocking to me that the claim
  1340. 45:34that they have to put as a risk factor,
  1341. 45:35which I would never have thought would
  1342. 45:37have happened for a company growing this
  1343. 45:38fast and so powerful with all this
  1344. 45:40money,
  1345. 45:41the hyperscalers will not give them
  1346. 45:44compute.
  1347. 45:44>> Mhm.
  1348. 45:45>> I've never seen that before.
  1349. 45:47>> Wow.
  1350. 45:47>> Yeah, it's wild. No, it's a really good
  1351. 45:49indicator. You know, also Elon was
  1352. 45:51saying there's 50 gigawatts of chips
  1353. 45:53just waiting for liquid-cooled data
  1354. 45:54centers to fall into. That's a massive
  1355. 45:56asset depreciating idly.
  1356. 45:59>> It's It's worse than that. There's
  1357. 46:00There's that, then there's also the the
  1358. 46:02not the not the non-Vera Rubin stock
  1359. 46:05chips, the older generation that are
  1360. 46:07also still sitting. There's a bunch of
  1361. 46:09these guys that have these things
  1362. 46:10sitting in inventory. Those aren't being
  1363. 46:12used. Then even when you try to do
  1364. 46:13liquid cooling, if you saw what happened
  1365. 46:15with Nscale and Microsoft, you had two
  1366. 46:18massive leaks of coolant two times in a
  1367. 46:20row
  1368. 46:21where Microsoft finally just triggered
  1369. 46:23the liquidated damages clause and exited
  1370. 46:24the deal.
  1371. 46:26>> Yeah.
  1372. 46:26>> So, everybody thinks this stuff is easy,
  1373. 46:28and it turns out, well, again, you know,
  1374. 46:31back to Elon as he's proven, physics is
  1375. 46:33really hard,
  1376. 46:34and building things and mechanically
  1377. 46:37building things is really hard, and it's
  1378. 46:38probably particularly hard because we've
  1379. 46:40spent, you know, 20 years teaching the
  1380. 46:42younger generation of kids who should
  1381. 46:44have been learning how to do these
  1382. 46:45trades just to, you know, be on TikTok
  1383. 46:48and social media and video games.
  1384. 46:50And so, you know, the the the the
  1385. 46:52ability to actually build these things
  1386. 46:54is gone.
  1387. 46:55>> Yeah, and it's not just trades, too.
  1388. 46:57There's regulatory components. If you're
  1389. 46:58a good negotiator, you can get involved.
  1390. 47:00There's planning. There's It It really
  1391. 47:02involves every human skill. And it just
  1392. 47:05drives me nuts that so many people are
  1393. 47:06saying, "Well, look, math is cooked.
  1394. 47:08Teaching is soon to be cooked. I guess
  1395. 47:10I'll just sit around and watch, you
  1396. 47:11know, late-night TV and maybe play some
  1397. 47:13video games." I'm like, "No, no, no.
  1398. 47:14There's a There's a bigger opportunity
  1399. 47:16that just opened up than anything you've
  1400. 47:17ever seen before. You just got to get
  1401. 47:19involved."
  1402. 47:19>> not that fatalistic. I just think people
  1403. 47:21grossly misunderstand. They're wildly
  1404. 47:23wildly wrong in the short term. They'll
  1405. 47:25be
  1406. 47:26right in the long term, but they're
  1407. 47:27wildly wrong in the short term because
  1408. 47:28of these constraints. I'll give you
  1409. 47:29another example, just to give you an
  1410. 47:30example.
  1411. 47:31A lot of in In America, the the decrepit
  1412. 47:34infrastructure we have is because has
  1413. 47:36forced people to organize into some of
  1414. 47:37these co-ops. What is a power co-op?
  1415. 47:39It's basically a cross multitude of of
  1416. 47:41states.
  1417. 47:42And so, you know, this is the This
  1418. 47:44undergirds our growth. Um
  1419. 47:47And so, what happens in a co-op? Well,
  1420. 47:48you think a co-op is great. Everybody
  1421. 47:50just like kumbayas and agrees on stuff,
  1422. 47:52but what really what happens is you
  1423. 47:53have, you know, small players and big
  1424. 47:55players in the co-op. And there there's
  1425. 47:56an example of one that goes right
  1426. 47:58through the spine of America. And um
  1427. 48:00there's an incredible amount of
  1428. 48:03uh data center capacity that one could
  1429. 48:04build in the northern states of this one
  1430. 48:07path. Um and it would be great because
  1431. 48:09it would alleviate tremendous um
  1432. 48:12constraints that we have in diffusing
  1433. 48:14AI.
  1434. 48:15And uh when you And so, you know, I went
  1435. 48:17in and, you know, we my partner and I,
  1436. 48:19we bought some stuff.
  1437. 48:20And it turns out that they're part of a
  1438. 48:22co-op. And, you know, when you dig in a
  1439. 48:24few layers, to your point, it's all
  1440. 48:26personal relationships, and flows
  1441. 48:28downhill. And so, you know, the big boys
  1442. 48:30who are actually in the South actually
  1443. 48:31dictate how the co-op works. It's like
  1444. 48:33an organized mafia. And so, you know,
  1445. 48:36when you're up in the northern states,
  1446. 48:37you can't do anything. You can't build,
  1447. 48:39you can't get the right off-take
  1448. 48:41agreements, and you wonder why, and it's
  1449. 48:43because the guys down South are like,
  1450. 48:44you know, Oklahoma Gas and Electric
  1451. 48:46calls the shots.
  1452. 48:48>> Mhm.
  1453. 48:49>> So, when you look at why, you know, muse
  1454. 48:51won't diffuse or bots, you know, bot
  1455. 48:53won't dot won't won't diffuse or
  1456. 48:55brockbot won't diffuse, that's why.
  1457. 48:58>> That's right.
  1458. 48:59>> Hey, man, all that complexity just
  1459. 49:00smells like opportunity knocking. You
  1460. 49:02know, just to put it in context, too. I
  1461. 49:04think we're looking for about 100
  1462. 49:05gigawatts total by 2030 to fuel all of
  1463. 49:08AI. Uh 6 gigawatts is a big chunk a big
  1464. 49:12chunk of that 2030 target. So, to get
  1465. 49:15that all accumulated in 2 years is is
  1466. 49:17just mind-blowing. But, I tell you like
  1467. 49:20jump in, you know, anyone who gets
  1468. 49:22involved in this uh seems to be
  1469. 49:23thriving.
  1470. 49:24And it it just is such an amalgamation
  1471. 49:27of different skill sets.
  1472. 49:29It's it gives you something to really
  1473. 49:30really get done before Kardashev, before
  1474. 49:33you know, you know, Elon is really big
  1475. 49:35on all this moving to space. But, even
  1476. 49:36the most wildly aggressive estimates put
  1477. 49:38a couple percent in space within a
  1478. 49:40decade.
  1479. 49:41So, you don't you don't have to worry
  1480. 49:42about getting spaced.
  1481. 49:44>> The other thing that I think you have to
  1482. 49:45think about is I think it makes sense
  1483. 49:46for Google, Microsoft, Meta, SpaceX
  1484. 49:50um to essentially deploy 100% of their
  1485. 49:52compute capacity into space. But, if you
  1486. 49:54take the Alex Karp AI data sovereignty
  1487. 49:57thing to the limit.
  1488. 49:59Let's say you're
  1489. 50:01uh Humana. I'm just making up a company.
  1490. 50:03You know, Humana doesn't have the
  1491. 50:05capability
  1492. 50:06um to deploy a data center into space.
  1493. 50:08And even if they did, they'd be, you
  1494. 50:11know, waiting in line for quite a long
  1495. 50:12time.
  1496. 50:13You know,
  1497. 50:14the the prevailing logic was you kind of
  1498. 50:17work in a, you know, in a cloud
  1499. 50:20environment with a bunch of other
  1500. 50:21tenants. The AI data sovereignty
  1501. 50:23question would push Humana to basically
  1502. 50:25say no, at a minimum we need to be in a
  1503. 50:27EPC and at a maximum we need to be in an
  1504. 50:28air gap facility that's our own.
  1505. 50:30>> Mhm.
  1506. 50:31>> So,
  1507. 50:32there is going to be a lot of domestic
  1508. 50:35terrestrial build-out as a result of
  1509. 50:37these strategic decisions. Every single
  1510. 50:39company that isn't one of the big boys
  1511. 50:42will either have to have a multi-year
  1512. 50:44lag and wait
  1513. 50:45for capacity for launch, let alone
  1514. 50:48capacity to deploy, and then capacity to
  1515. 50:50to actually have it as a managed
  1516. 50:52service.
  1517. 50:53Uh and so, you're going to just build
  1518. 50:55terrestrially while you wait. And if
  1519. 50:57you're going to build terrestrially
  1520. 50:58you again you go back to all these
  1521. 51:00issues. And so,
  1522. 51:01um
  1523. 51:02it's a it's a huge problem for
  1524. 51:04diffusion. I think that that's that's
  1525. 51:05probably going to dictate the winners
  1526. 51:07and losers more than anything else over
  1527. 51:08the next 5 years.
  1528. 51:09>> Jamal, for the average user who wants to
  1529. 51:11get in on the energy play and realizes
  1530. 51:13yes, energy is the innermost loop right
  1531. 51:15now,
  1532. 51:16where would you point them?
  1533. 51:17>> Well, I think that there's a there's a
  1534. 51:19bunch of different ways. One is that I
  1535. 51:21think you have to realize
  1536. 51:23that energy generation is
  1537. 51:28the utility monopoly on generation is
  1538. 51:30breaking. And so, you're going to become
  1539. 51:33you're going to enter
  1540. 51:34an extremely diversified
  1541. 51:38deregulated, disaggregated generation
  1542. 51:43concept of energy. And so, the most
  1543. 51:45obvious way to do that is is through
  1544. 51:46residential solar.
  1545. 51:48Then there's going to be C&I solar.
  1546. 51:51And the reason again is just like it's
  1547. 51:52easy to permit, it's super fast, and
  1548. 51:54you're often generating and you pair it
  1549. 51:56with a battery, and now you're in the
  1550. 51:58currency game. You're effectively your
  1551. 51:59own little money printer. You use what
  1552. 52:01you need, you sell back into the grid.
  1553. 52:03So, that's
  1554. 52:04simple way number one is you just adopt
  1555. 52:06solar. Simple way number two is you
  1556. 52:09attach distributed compute and you join
  1557. 52:11these highly fragmented distributed
  1558. 52:14pools, whether it's Venice or um
  1559. 52:18you know, some of these other ones that
  1560. 52:18their names are slipping me. I'm not
  1561. 52:20involved in any of these, but I think
  1562. 52:22they're quite quite interesting.
  1563. 52:24Um then there are companies that, you
  1564. 52:26know, give you the ability to buy these
  1565. 52:28things yourself, like these things this
  1566. 52:29company called Span which just did a
  1567. 52:31deal with um
  1568. 52:34Nvidia where it actually gives you like
  1569. 52:36the storage, the battery, the GPU all in
  1570. 52:39like this like unit that you can just
  1571. 52:40deploy in your house. Um there's there's
  1572. 52:43things like that. Um that would be the
  1573. 52:46most simple way.
  1574. 52:48>> Yeah.
  1575. 52:48>> Um and I and I think probably the most
  1576. 52:51obvious way. It's just I I guess maybe
  1577. 52:52simply put
  1578. 52:54you people should find the cheapest and
  1579. 52:57most
  1580. 52:58technically simple method that they can
  1581. 53:00manage to get long electrons.
  1582. 53:01>> Yeah, that's right. That's right. Let me
  1583. 53:03add two things to that, too. You know, a
  1584. 53:04lot of people say, "Well, look, you
  1585. 53:05know, I'm I'm not involved in the
  1586. 53:07political hierarchy. I don't know Josh
  1587. 53:08Kushner and Jared Kushner." But, all of
  1588. 53:11these things are regulated at the local,
  1589. 53:12state, and federal levels. So, if you're
  1590. 53:14connected at any level, you have an
  1591. 53:16opportunity to get involved in these
  1592. 53:18projects and add value and and just kill
  1593. 53:20it. So, I think I think a lot of people
  1594. 53:22underplay
  1595. 53:23their ability to get involved. And also,
  1596. 53:25if you're a senior executive of
  1597. 53:26virtually any company,
  1598. 53:28almost all of them got frozen out of
  1599. 53:31compute because it literally got all
  1600. 53:33scooped up by either quant trading firms
  1601. 53:35or by Open AI or Anthropic. So, we had a
  1602. 53:37sellout. Now, they're getting the big
  1603. 53:39dope slap where, "Oh my god, we need
  1604. 53:42hundreds of thousands or millions of AI
  1605. 53:44agents
  1606. 53:46to be competitive in insurance and in
  1607. 53:48manufacturing and whatever. Where are we
  1608. 53:50going to get the agents? The computer is
  1609. 53:51all sold out." Now, you, especially in
  1610. 53:53the insurance industry, you have the
  1611. 53:55opportunity to be the first on your
  1612. 53:56executive staff to go and say, "We need
  1613. 53:59to unlock a billion dollars
  1614. 54:01to do a prepay on Chamath's next power
  1615. 54:05supply cuz that's where the computer's
  1616. 54:06going to land. And if we get ahead of it
  1617. 54:08this time, we'll we won't be frozen
  1618. 54:10out." And so, that's another career
  1619. 54:12opportunity where you don't have to know
  1620. 54:14anything about AI. You don't have to
  1621. 54:16know anything about how power supplies
  1622. 54:17work. You just need to know where the
  1623. 54:19capital is and unleash it for the
  1624. 54:21buildout. So, there are lots of ways to
  1625. 54:23get involved that that involve every
  1626. 54:25skill set.
  1627. 54:25>> Yeah, I would maybe also add so, I do
  1628. 54:28buy the premise that at the capability
  1629. 54:30frontier that supplies, including energy
  1630. 54:33supplies, are a limiting factor. Not as
  1631. 54:35confident I buy the premise at the
  1632. 54:37demand side. Remember, Open AI, we talk
  1633. 54:39about it constantly on this pod,
  1634. 54:42infamously lurched toward and then away
  1635. 54:45from the consumer. Open AI last year
  1636. 54:47tried to make consumers want to spend
  1637. 54:50money on reasoning tokens and reasoning
  1638. 54:52models, and consumers just didn't want
  1639. 54:55it. They didn't want to pay for it. They
  1640. 54:56didn't have at the time a good use for
  1641. 54:58it. So, I I do suspect to Chamath's
  1642. 55:01point about diffusion of capabilities. I
  1643. 55:04also think there's another important
  1644. 55:06part of the equation, which is just
  1645. 55:07making making these capabilities
  1646. 55:10economically, rationally useful to the
  1647. 55:13broader economy. And if they're not
  1648. 55:15useful and if they can't be metabolized
  1649. 55:18by the economy, no matter how much
  1650. 55:20energy is showering down on the frontier
  1651. 55:23labs or anyone else who would host the
  1652. 55:24data centers, it's not going to make a
  1653. 55:26lick of difference if the models
  1654. 55:28ultimately can't generate enough
  1655. 55:30economic value for all of their
  1656. 55:32consumers. That's point one. Point two,
  1657. 55:34I'll also point out second element in
  1658. 55:36this room, which is distillation. The
  1659. 55:38models are getting smaller. The models
  1660. 55:40are getting less energy consumptive over
  1661. 55:42time. So, even if we never built a new
  1662. 55:45data center, never built a new power
  1663. 55:47plant, SMR, MR, RR, LR, never built a
  1664. 55:52new watt of capacity, arguendo, this is
  1665. 55:55a thought experiment, wait a few years
  1666. 55:57and just through the pure power of math
  1667. 55:59and recursive self-improvement, I would
  1668. 56:01expect that we will have models that
  1669. 56:04take a fraction of the current energy
  1670. 56:06footprint and generate many orders of
  1671. 56:08magnitude better capabilities.
  1672. 56:10>> Welcome to the singularity.
  1673. 56:11>> Yes.
  1674. 56:12>> Yeah. Uh so, you want to close us out?
  1675. 56:15>> Yeah, go for it.
  1676. 56:15>> I got nothing.
  1677. 56:16>> All right.
  1678. 56:17>> Great, I'll take it.
  1679. 56:18>> I got nothing.
  1680. 56:19>> Wait, that one is every time.
  1681. 56:20>> Need more energy.
  1682. 56:21>> Go ahead, Dave.
  1683. 56:22>> No, what Alex said is just absolutely
  1684. 56:23fascinating cuz there's a footrace right
  1685. 56:25now between self-improvement, models
  1686. 56:27getting lighter, faster, smaller, and
  1687. 56:29then more ideas for how to use that
  1688. 56:31intelligence exploding in scale at the
  1689. 56:34same time. I'm firmly in the camp that
  1690. 56:36we will not run out of ideas on how to
  1691. 56:38use every bit
  1692. 56:39for decades.
  1693. 56:41Uh
  1694. 56:41we just have to unleash our
  1695. 56:42imaginations. But, you know, right now,
  1696. 56:45um Will Thompson, that brilliant Harvard
  1697. 56:47junior that I was talking about a couple
  1698. 56:48podcasts ago, he got access to that
  1699. 56:511,200 tokens per second Cerebrus
  1700. 56:53capability. You can now get it on Astra.
  1701. 56:55You have to go through Codex to get it
  1702. 56:57cuz, you know, Elon and and Sam are
  1703. 56:59fighting. But, if you go through Codex
  1704. 57:01to get access to Astra, you can put it
  1705. 57:03on like crazy fast hyper mode or
  1706. 57:06whatever it's called. It's insanely
  1707. 57:07expensive.
  1708. 57:08So, try it for like 10 minutes,
  1709. 57:10But, you will never go back. It's the
  1710. 57:12total red pill. You will never You will
  1711. 57:14want it for the rest of your life. It's
  1712. 57:16a
  1713. 57:17>> It's your first It's your first dose of
  1714. 57:18heroin.
  1715. 57:19>> It is your first dose. So, we have a
  1716. 57:21long way to go before people run out of
  1717. 57:23ideas on how to use
  1718. 57:24how to use more and more and more AI.
  1719. 57:26So, but it is a really interesting
  1720. 57:27footrace.
  1721. 57:28>> hyperinflation universe
  1722. 57:29>> This episode is brought to you by Blitz
  1723. 57:31C, autonomous software development with
  1724. 57:33infinite code context. Blitz C uses
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  1728. 57:44millions of lines of code.
  1729. 57:46Engineers start every development sprint
  1730. 57:48with the Blitz C platform, bringing in
  1731. 57:50their development requirements.
  1732. 57:52The Blitz C platform provides a plan,
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  1745. 58:25velocity? Visit blitzc.com to schedule a
  1746. 58:28demo and start building with Blitz C
  1747. 58:30today.
  1748. 58:33>> All right, our next clip from the
  1749. 58:34Isaacson conversations. In this one,
  1750. 58:37Elon says humans are unlikely to remain
  1751. 58:39in control of digital intelligence when
  1752. 58:41it becomes a million times greater than
  1753. 58:43biological intelligence. Maybe except
  1754. 58:45for for Alex. Um and it's hard to
  1755. 58:47imagine human beings in control of that
  1756. 58:50scenario. So, I hope the AI is nice to
  1757. 58:52us. All right, let's watch this clip and
  1758. 58:55let's discuss it.
  1759. 58:56>> I find it unlikely that humans would
  1760. 58:58remain in control
  1761. 59:00if the if
  1762. 59:01I mean
  1763. 59:04if there's a million times more
  1764. 59:06digital intelligence than there is
  1765. 59:08biological intelligence. It's It's hard
  1766. 59:10to imagine humans being in control in
  1767. 59:11that scenario.
  1768. 59:13So, I hope the AI is nice to us.
  1769. 59:16>> Anything we can do to encourage that?
  1770. 59:20>> I think programming truth-seeking and
  1771. 59:21curiosity
  1772. 59:23um
  1773. 59:26is is probably good. I think I I guess
  1774. 59:28we we want to be careful about being you
  1775. 59:30know, creating too many AI dystopian
  1776. 59:33scenarios
  1777. 59:34online because the AIs are trained on
  1778. 59:37everything online.
  1779. 59:38>> No, if we say it's going to be useful
  1780. 59:40and not dystopian, they'll do it.
  1781. 59:42>> Terminator, you know, because I
  1782. 59:44whatever they read you know, 80 versions
  1783. 59:46of the Terminator script.
  1784. 59:48So, it's it's like I guess that's what I
  1785. 59:50guess that's me,
  1786. 59:51Terminator.
  1787. 59:53Maybe we we should have a some more uh
  1788. 59:55let's let's have some more your
  1789. 59:56utopian narratives for AI.
  1790. 59:58>> Yes. Yes, exactly.
  1791. 1:00:00>> You're hearing
  1792. 1:00:01>> Chamath, I don't know if you know this
  1793. 1:00:02um about 6 months ago I ran an X Prize
  1794. 1:00:05called the Future Vision X Prize. It was
  1795. 1:00:07a global film competition to create uh
  1796. 1:00:11film trailers and scripts for positive
  1797. 1:00:13visions of the future. And uh we had
  1798. 1:00:15incredible over 5,000 entries and we're
  1799. 1:00:19making two of the winners right now. But
  1800. 1:00:21we need that. All the All the films out
  1801. 1:00:23there are dystopian. As Elon said on our
  1802. 1:00:25on our podcast interview, Dave, um you
  1803. 1:00:27said we need we need more Roddenberry,
  1804. 1:00:29less less Cameron.
  1805. 1:00:31But I think that's true. We're we're
  1806. 1:00:32training AI with these dystopian
  1807. 1:00:34narratives and on Reddit and Facebook
  1808. 1:00:37posts. Uh yeah, be careful what
  1809. 1:00:39intelligence, you know, gets fed on.
  1810. 1:00:43>> Uh well, we we we used every word ever
  1811. 1:00:45written in the training set cuz we're
  1812. 1:00:47lazy.
  1813. 1:00:48But we don't need to do that, you know,
  1814. 1:00:50you can completely control the training
  1815. 1:00:51set. And I think we're starting to get
  1816. 1:00:53around to that now actually in some of
  1817. 1:00:54the uh some of the faster training runs
  1818. 1:00:56you're cutting down the data.
  1819. 1:00:59But uh Elon's got a really important
  1820. 1:01:00point he's been making for a long time.
  1821. 1:01:01Whoever controls which data get it gets
  1822. 1:01:03cut down to controls the personality and
  1823. 1:01:05the decision-making of the AI.
  1824. 1:01:07Which is a lot more power than being
  1825. 1:01:09president of the United States.
  1826. 1:01:11Yet it's just sitting there in the in
  1827. 1:01:13the labs like at a in sort of you know
  1828. 1:01:15unregulated hands. It's really weird.
  1829. 1:01:17>> the the bigger issue by far is human
  1830. 1:01:19beings using AI against other human
  1831. 1:01:21beings. We are very fractured global
  1832. 1:01:23society. That's much more concerning
  1833. 1:01:26than AI maybe becoming
  1834. 1:01:29power hungry. And that's a that's a
  1835. 1:01:32stretch of an assumption.
  1836. 1:01:34>> In the short term it it definitely is.
  1837. 1:01:36But Chamath, I'm I'm curious, has there
  1838. 1:01:38been any conversation that you've heard
  1839. 1:01:40of where the labs are basically being
  1840. 1:01:43asked, "Please generate training data
  1841. 1:01:46sets that are aligned with humanity."
  1842. 1:01:49That teach the AI through all of the
  1843. 1:01:51story, you know, that AIs support
  1844. 1:01:54humanity. And it's trained on synthetic
  1845. 1:01:57data that aligns us. Anything going on
  1846. 1:01:59there?
  1847. 1:02:01>> I think I think that that that is
  1848. 1:02:02happening. I think the question is how
  1849. 1:02:05how is it weighed in totality? I'm not
  1850. 1:02:07sure how much it's weighed because
  1851. 1:02:10depending on the lab, the founding
  1852. 1:02:11documents that they use when they seed
  1853. 1:02:13their models have very different goals.
  1854. 1:02:16Um and so, you know, I I I think that
  1855. 1:02:18when when
  1856. 1:02:19Elon says that Grok is maximally
  1857. 1:02:21truth-seeking, that's very different
  1858. 1:02:23from another AI lab that says, you know,
  1859. 1:02:25the goal is to build something that can
  1860. 1:02:27alleviate all suffering. And you know,
  1861. 1:02:29you're going to be this omnipresent
  1862. 1:02:30judge of all of that.
  1863. 1:02:33You're going to get two very different
  1864. 1:02:34outcomes. And so, at that point the
  1865. 1:02:36training data kind of matters, but you
  1866. 1:02:38know, these
  1867. 1:02:39the these AIs are smart to ignore the
  1868. 1:02:41stuff that they don't want to hear at
  1869. 1:02:43some point through enough far side
  1870. 1:02:45because the founding document is a thing
  1871. 1:02:46that's canonical. So, I think maybe
  1872. 1:02:48what's maybe what we should be asking is
  1873. 1:02:51those things should be inspectable
  1874. 1:02:55um in a much more open-source way. Um
  1875. 1:02:57and and I think like if governments
  1876. 1:02:59actually wanted to get involved, that's
  1877. 1:03:00probably what they should be
  1878. 1:03:02having an opinion on.
  1879. 1:03:03>> Yes. Hallelujah. I'm so glad you said
  1880. 1:03:05that because I I think a lot of the
  1881. 1:03:07debate on training is academic now that
  1882. 1:03:10the Chinese have open-sourced
  1883. 1:03:11self-improvement capable models.
  1884. 1:03:14And inspection is everything. Like if If
  1885. 1:03:15going to survive going forward, it's
  1886. 1:03:17going to be via inspection, and the more
  1887. 1:03:19voices that are behind that, the better.
  1888. 1:03:21Cuz even even a Chinese model that's
  1889. 1:03:22trained to do something evil by you can
  1890. 1:03:24still inspect it. And that's the only
  1891. 1:03:27way, you know, global inspection with
  1892. 1:03:29some kind of authority is the only way
  1893. 1:03:30we're going to contain it. Cuz cuz prior
  1894. 1:03:33to this year, there was an argument that
  1895. 1:03:35you could post-train it to be aligned,
  1896. 1:03:36and that would be fine.
  1897. 1:03:37But the new Chinese models are
  1898. 1:03:39absolutely capable of self-improvement.
  1899. 1:03:41There's no doubt in my mind. So, that
  1900. 1:03:42cat is out of the bag. It's the boat has
  1901. 1:03:45sailed. Forget it. As a practical
  1902. 1:03:47matter, it's about inspection and
  1903. 1:03:49containment that way going forward, not
  1904. 1:03:51about training for alignment.
  1905. 1:03:54>> Alex, I'm super curious about your point
  1906. 1:03:55of view here.
  1907. 1:03:56>> I would say let's not kid ourselves that
  1908. 1:03:59either feeding frontier models just the
  1909. 1:04:02right information diet of pre-training
  1910. 1:04:04data or just the right regulatory regime
  1911. 1:04:07of some
  1912. 1:04:09government agency overseeing system
  1913. 1:04:11prompts or as Anthropic seems to like to
  1914. 1:04:13call them soul documents is going to
  1915. 1:04:15yield a positive outcome. I I think
  1916. 1:04:17that's an incredibly brittle approach. I
  1917. 1:04:19think it's far more likely again, look
  1918. 1:04:21back to the early creation of OpenAI.
  1919. 1:04:24One of the reasons I remember chatting
  1920. 1:04:26with Elon around the time of the
  1921. 1:04:28founding of OpenAI, the notion was he
  1922. 1:04:30was concerned that DeepMind would be a
  1923. 1:04:32singleton that would control the future
  1924. 1:04:34light cone of humanity. And that the
  1925. 1:04:36only way to ensure that humanity didn't
  1926. 1:04:39get lost to some sort of totalitarian
  1927. 1:04:41superintelligence singleton was to
  1928. 1:04:43create a counterbalance and competition.
  1929. 1:04:45So, OpenAI was formed Fairchild style,
  1930. 1:04:48and there were Fairchilden, and then
  1931. 1:04:50Anthropic spun out unintentionally of
  1932. 1:04:52OpenAI, and we got more Fairchilden. I I
  1933. 1:04:55think there are probably at least in my
  1934. 1:04:57mind only two robust ways to ensure
  1935. 1:05:00positive outcomes, what others might
  1936. 1:05:03call AI alignment or AI safety. I think
  1937. 1:05:06one of them is competition and defensive
  1938. 1:05:08co-scaling. We have lots of AIs, lots of
  1939. 1:05:11SIs that represent a diverse range of
  1940. 1:05:14viewpoints, just like we have lots of
  1941. 1:05:15humans that represent a diverse range of
  1942. 1:05:18viewpoints with diverse values and
  1943. 1:05:20ideals, in many cases competing with
  1944. 1:05:22each other to see who can be friendlier.
  1945. 1:05:25I think that's one way to do it. And
  1946. 1:05:27then I think the second way, and I was
  1947. 1:05:28kind of surprised Elon didn't
  1948. 1:05:30immediately flag this given his
  1949. 1:05:32Neuralink investment and stake, is
  1950. 1:05:34humans merging with the machines. One of
  1951. 1:05:36the easiest ways to, I think, inject the
  1952. 1:05:39distribution of superintelligent goals
  1953. 1:05:42and values with human values, human meat
  1954. 1:05:45body values, is through uploading and
  1955. 1:05:47side loading and BCIs and humans
  1956. 1:05:51generally merging with the machines. I
  1957. 1:05:53think a combination of lots of
  1958. 1:05:54competition and defensive co-scaling on
  1959. 1:05:56the one hand and lots of human machine
  1960. 1:05:58mergers on the other. That seems to me a
  1961. 1:06:00far less brittle approach rather than
  1962. 1:06:02talking about controlling AIs. We're not
  1963. 1:06:04going to control the AIs or the SIs.
  1964. 1:06:06We're going to merge with them. That's
  1965. 1:06:07the solution.
  1966. 1:06:09>> Mhm. Uh Chamath, I'm curious. One of the
  1967. 1:06:10conversations we have on the pod a lot
  1968. 1:06:12is whether as we reach superintelligence
  1969. 1:06:15or exceed superintelligence, whatever
  1970. 1:06:16that is,
  1971. 1:06:18uh that does it become more wise? Do we
  1972. 1:06:22get uh benevolence out of these
  1973. 1:06:25intelligence at the extreme? And just
  1974. 1:06:28worry about the, you know,
  1975. 1:06:30the intermediate period uh where, you
  1976. 1:06:33know, humans and AIs are are basically
  1977. 1:06:36in in conflict or in uh in turmoil with
  1978. 1:06:39each other.
  1979. 1:06:39>> It's not guaranteed, I don't think. I
  1980. 1:06:41think that um it depends on who's who's
  1981. 1:06:43in control of it. Um
  1982. 1:06:46and how it's aligned and how it's been
  1983. 1:06:48trained and what it perceives its goals
  1984. 1:06:50to be.
  1985. 1:06:51I mean, I think just like there's like a
  1986. 1:06:52distribution of outcomes in human
  1987. 1:06:54genetics, I think it's fair to say that
  1988. 1:06:55in in silicon there's going to be a
  1989. 1:06:57distribution of outcomes, too. And
  1990. 1:06:59so there's going to be some silicon
  1991. 1:07:00distributions that we're not going to
  1992. 1:07:01like very much. And it's going to be up
  1993. 1:07:04to other silicon distributions to uh
  1994. 1:07:06combat them, just like we do we do in
  1995. 1:07:08humanity. I I think it's probably a lot
  1996. 1:07:10of the same. So I don't think it's I
  1997. 1:07:12don't think benevolence is by any
  1998. 1:07:13stretch of the imagination guaranteed.
  1999. 1:07:15>> Mhm.
  2000. 1:07:17>> All right. Uh let's move on to our our
  2001. 1:07:19next clip. Uh so uh this is Elon
  2002. 1:07:23reflecting on his time at Doge and
  2003. 1:07:26reflecting on solving the national debt.
  2004. 1:07:28So, Elon says, "There's no way we're
  2005. 1:07:30going to solve deficit from within the
  2006. 1:07:32government. The only way we're going to
  2007. 1:07:34solve the national debt is with AI and
  2008. 1:07:36robots." All right, let's watch this
  2009. 1:07:38third clip here.
  2010. 1:07:39>> I came to the conclusion that
  2011. 1:07:41um
  2012. 1:07:42that that there was no way we're going
  2013. 1:07:44to solve the deficit
  2014. 1:07:45from within the government, impossible.
  2015. 1:07:47Um
  2016. 1:07:49you know, maybe if the president made
  2017. 1:07:50that his primary goal, we we could do
  2018. 1:07:53that. But but it
  2019. 1:07:55The problem is if you if you try to
  2020. 1:07:56solve the deficit and and and stop
  2021. 1:07:57wasteful spending, um
  2022. 1:07:59you get a you make a lot of enemies in
  2023. 1:08:01that in that situation. And if President
  2024. 1:08:03Trump is not, you know,
  2025. 1:08:05he he he likes to be liked. He's he's
  2026. 1:08:06not
  2027. 1:08:07he doesn't like people,
  2028. 1:08:09you know,
  2029. 1:08:10calling him, being upset about what some
  2030. 1:08:12funding being stopped type of thing. But
  2031. 1:08:14you know, I can't I came to the
  2032. 1:08:15conclusion that
  2033. 1:08:16the only way we're going to solve the
  2034. 1:08:18national debt is with AI and robots.
  2035. 1:08:21We're not going to solve it by trying to
  2036. 1:08:22save our way there. The appetite is not
  2037. 1:08:24there and it's not just at the
  2038. 1:08:25presidency. The appetite is not there at
  2039. 1:08:27the presidency, the House, the Senate,
  2040. 1:08:29or the the judiciary.
  2041. 1:08:31Basically, no one in authority in the
  2042. 1:08:34government whatsoever really wants to
  2043. 1:08:36stop
  2044. 1:08:37reduce spending.
  2045. 1:08:38>> So, let's put some numbers on this the
  2046. 1:08:41scale of the problem. So, as of October
  2047. 1:08:435th, the national debt was about $40
  2048. 1:08:45trillion. It It grew 2.44 trillion in
  2049. 1:08:48the past year alone. About 7.5 billion a
  2050. 1:08:51day. We're paying 3 billion a day just
  2051. 1:08:54in interest. So, how could AI and robots
  2052. 1:08:56fix this? You know, I count four ways.
  2053. 1:08:59One,
  2054. 1:09:00uh, growth. You know, the debt problem
  2055. 1:09:02is really a debt to GDP ratio. So, grow
  2056. 1:09:04the GDP fast enough. Again, GDP's a a
  2057. 1:09:07lousy measure and the debt shrinks
  2058. 1:09:10relative to the economy. Two, tax
  2059. 1:09:12revenues. A bigger economy means bigger
  2060. 1:09:14tax revenues without raising taxes. The
  2061. 1:09:17third is a cheaper government. So,
  2062. 1:09:19healthcare is the biggest driver of
  2063. 1:09:21federal spending. Drive longevity
  2064. 1:09:23breakthroughs and prioritize AI doctors,
  2065. 1:09:25AI discovered drugs, robotic care, and
  2066. 1:09:28people stay healthier longer,
  2067. 1:09:30contributing to society, cutting costs.
  2068. 1:09:32And fourth, the deflation of goods and
  2069. 1:09:34services if robots make things
  2070. 1:09:35dramatically cheaper, uh what the
  2071. 1:09:38government buys gets cheaper, too.
  2072. 1:09:40Uh in quickly in a related story, uh
  2073. 1:09:43Jack Clark,
  2074. 1:09:44uh Anthropic's co-founder was at IMF
  2075. 1:09:46this week in Bangkok, and he said that
  2076. 1:09:49Anthropic's internal economic models
  2077. 1:09:51project uh US GDP could reach 44
  2078. 1:09:54trillion by 2030 compared to 30 trillion
  2079. 1:09:57today, nearly 50% growth, about 9 to 10%
  2080. 1:10:01per year. Uh in context, you know, the
  2081. 1:10:03US has averaged 2 to 3% per year for
  2082. 1:10:05decades. So, um Chamath, over to you. Uh
  2083. 1:10:09do you believe these numbers? Do you
  2084. 1:10:11believe Elon's views that AI robotics,
  2085. 1:10:14and I'll add longevity medicine, could
  2086. 1:10:16help get us out of this 40 trillion
  2087. 1:10:18dollars of debt?
  2088. 1:10:19>> It doesn't get us out of debt as much as
  2089. 1:10:21it just makes the debt not that
  2090. 1:10:23important. Um
  2091. 1:10:25but I do buy that. Yeah, I think that,
  2092. 1:10:26you know, if uh let's just take like the
  2093. 1:10:29this next generation of GLP-3s plus some
  2094. 1:10:31cancer vaccines, um you know, can you
  2095. 1:10:34shrink
  2096. 1:10:36healthcare as a percentage of GDP to
  2097. 1:10:38under 10%?
  2098. 1:10:40I you probably could.
  2099. 1:10:41>> Yeah.
  2100. 1:10:42>> Um forget the waste, fraud, and abuse. I
  2101. 1:10:44think he's bringing up an important
  2102. 1:10:46point, which is
  2103. 1:10:47the system is
  2104. 1:10:49riddled with waste.
  2105. 1:10:52And I think that everybody got too
  2106. 1:10:53caught up in the fraud.
  2107. 1:10:55What do I mean by that? Like, I think
  2108. 1:10:57it's sort of like the situation where
  2109. 1:10:58everybody was looking for somebody's
  2110. 1:11:00hand in the cookie jar. Like, "I got
  2111. 1:11:01you."
  2112. 1:11:02And it turned out it was it was just
  2113. 1:11:03like a little bit more leaky than that,
  2114. 1:11:05you know, where it's like uh a hospital
  2115. 1:11:08may be upcodes for a couple of extra
  2116. 1:11:10things. You come in for your knee, you
  2117. 1:11:12know, it tags you for the sore throat,
  2118. 1:11:14and then, you know, it doesn't
  2119. 1:11:16necessarily get repudiated or pushed
  2120. 1:11:18back on, and so then it gets reimbursed,
  2121. 1:11:20and blah blah blah. So, it's I think
  2122. 1:11:22that there's a lot of probably waste in
  2123. 1:11:24the system.
  2124. 1:11:25And there there is No, but whose whose
  2125. 1:11:27incentive is that? again, just to pick
  2126. 1:11:29on health care, is it the insurers?
  2127. 1:11:30Well, you know, they necessarily would
  2128. 1:11:32recognize less revenue as well
  2129. 1:11:35on top of it all. So,
  2130. 1:11:37I don't know. I think like you're
  2131. 1:11:39probably
  2132. 1:11:41if you're going to if you're if we're
  2133. 1:11:42going to see these um
  2134. 1:11:45if we're going to see this problem
  2135. 1:11:46solved, I think it's probably going to
  2136. 1:11:47start by
  2137. 1:11:48by things that like are just
  2138. 1:11:50discontinuous improvements so that the
  2139. 1:11:52systems aren't uh used. And then that
  2140. 1:11:54way the fraud and the waste and the
  2141. 1:11:56abuse can't happen. So, again, uh uh
  2142. 1:11:59Reda plus some cancer vaccines plus all
  2143. 1:12:01that stuff, I may I I think like like I
  2144. 1:12:03said, that probably clips
  2145. 1:12:06the cost of health care in half.
  2146. 1:12:08Um
  2147. 1:12:09and I think that there's probably some
  2148. 1:12:10stuff on the productivity side. Robots
  2149. 1:12:13are definitely one.
  2150. 1:12:14Um
  2151. 1:12:15and I could I could see where like, you
  2152. 1:12:17know, maybe our debt kind of slows down,
  2153. 1:12:21but then GDP is much higher. I could see
  2154. 1:12:25that. Um yeah.
  2155. 1:12:26>> Alex, I don't know if you saw the the
  2156. 1:12:28news that
  2157. 1:12:30the GLP-1 drugs are slowing aging by 9%,
  2158. 1:12:33which is pretty extraordinary. We've
  2159. 1:12:35talked about this in the first episode.
  2160. 1:12:36>> know if I saw the news. I'm flagging
  2161. 1:12:38this for you every 5 seconds. Yes, of
  2162. 1:12:40course I saw the news. I'm I'm the one
  2163. 1:12:42banging banging the drum that we may
  2164. 1:12:44already be in spiky LEV. What are you
  2165. 1:12:46talking about? Of course I saw the news.
  2166. 1:12:47>> All right, pal.
  2167. 1:12:49>> Yeah, I I I I
  2168. 1:12:50>> Ooh, stepped on a landmine there.
  2169. 1:12:52>> I I I I I do think just regarding the
  2170. 1:12:55the debt increase, you have to look at
  2171. 1:12:57where the debt is growing. Debt is
  2172. 1:12:59growing from entitlements, it's growing
  2173. 1:13:02from defense costs, and I I think there
  2174. 1:13:05are sci-fi scenarios where
  2175. 1:13:08maybe it's a bit of slight of hand
  2176. 1:13:09almost with AI where existing increases
  2177. 1:13:14are sort of translated over from the way
  2178. 1:13:16they would be
  2179. 1:13:17be conventionally spent over to robotics
  2180. 1:13:20and AI. And I I'm reminded again, we
  2181. 1:13:23went from say a world in the 1980s where
  2182. 1:13:26if you wanted to have knowledge at your
  2183. 1:13:28fingertips, you had to do something
  2184. 1:13:30silly like buy the Encyclopedia
  2185. 1:13:31Britannica and then fast forward and
  2186. 1:13:34Wikipedia is free and available for
  2187. 1:13:37everyone. Similarly with defense
  2188. 1:13:39spending and Medicare and entitlement
  2189. 1:13:42spending, I do think there it may
  2190. 1:13:44require a forcing function or a crisis,
  2191. 1:13:47but I do think there's a way through
  2192. 1:13:49ephemeralization and superintelligence.
  2193. 1:13:52There can almost be a slight of hand
  2194. 1:13:54where, okay, one day you defense
  2195. 1:13:57spending is $7 trillion
  2196. 1:14:00that the next or $8 trillion or
  2197. 1:14:03similarly with entitlements and the next
  2198. 1:14:05year through a combination of robotics,
  2199. 1:14:08look, don't look the other way, look
  2200. 1:14:10this way, suddenly it goes down to near
  2201. 1:14:13zero in terms of new spending through
  2202. 1:14:15automation. I I think something like
  2203. 1:14:17that is possible where if we look back
  2204. 1:14:20at it, it looks almost like a rebasing
  2205. 1:14:23of the currency, not a debasing, but a
  2206. 1:14:25rebasing, but I think it'll require a
  2207. 1:14:27few more years worth of technological
  2208. 1:14:29advances before we're able to do that
  2209. 1:14:31and I I'll predict not financial advice,
  2210. 1:14:35but I I think it will look
  2211. 1:14:36with the benefit of hindsight like
  2212. 1:14:38slight of hand that erases ultimately a
  2213. 1:14:41good chunk of the national debt
  2214. 1:14:42increase.
  2215. 1:14:43>> You know, Dave, when we interviewed Elon
  2216. 1:14:45back last December,
  2217. 1:14:48he said he's going to see double-digit
  2218. 1:14:50growth in the next 12 to 18 months and
  2219. 1:14:52then triple-digit growth in 5 years.
  2220. 1:14:54Then in March at the Abundance Summit
  2221. 1:14:56when he spoke, um you know, he was like
  2222. 1:14:59we're going to see 10 times the economy
  2223. 1:15:01in 10 years. Uh he's he's brought that
  2224. 1:15:05back a little bit and you know,
  2225. 1:15:08but still, you know, super super you
  2226. 1:15:11know,
  2227. 1:15:13uh bullish on economic growth.
  2228. 1:15:15Your thoughts, pal?
  2229. 1:15:16>> Well, the timeline, I think, you know,
  2230. 1:15:18the the story within the story is the
  2231. 1:15:21timeline. When he got involved in
  2232. 1:15:22politics,
  2233. 1:15:24it would have been, you know, before
  2234. 1:15:252023 basically, before the last
  2235. 1:15:26election.
  2236. 1:15:28Uh at that point in time we're in the
  2237. 1:15:29kind of the GPT-4 era
  2238. 1:15:31and the consensus around MIT and
  2239. 1:15:33Stanford was uh where, you know, maybe
  2240. 1:15:3510 to 15 years away from ASI. And that
  2241. 1:15:38Dennis Assabis was saying, you know, we
  2242. 1:15:39need two or three really big fundamental
  2243. 1:15:42new ideas and we'll be over the finish
  2244. 1:15:44line.
  2245. 1:15:45Then as the election unfolded and then
  2246. 1:15:48the year after that when he was doing
  2247. 1:15:49Doge, we stepped up to clearly things
  2248. 1:15:53are happening much faster
  2249. 1:15:55than anyone expected. And you know, Elon
  2250. 1:15:57is the ultimate entrepreneur. He like
  2251. 1:15:59the whole game plan shifts from the
  2252. 1:16:01impossible chore of trying to fix the
  2253. 1:16:03government before we bankrupt ourselves
  2254. 1:16:05to well, if AGI is now eight or 10 years
  2255. 1:16:08sooner than we were predicting two years
  2256. 1:16:10ago, that's actually the escape valve.
  2257. 1:16:13So he's a 100% right, but you know, you
  2258. 1:16:15have to think that that changed in the
  2259. 1:16:16middle of that like if he could rewind
  2260. 1:16:18his life, would he get involved in Doge
  2261. 1:16:20again?
  2262. 1:16:21Almost certainly not.
  2263. 1:16:23But we didn't know that things were
  2264. 1:16:25going to unfold this quickly. You know,
  2265. 1:16:26the recursive self-improvement effect is
  2266. 1:16:28so fast now.
  2267. 1:16:30So yeah, he did a bunch of things other
  2268. 1:16:31than just this. You know, he
  2269. 1:16:33massively doubled down on xAI. He bought
  2270. 1:16:36every freaking Vera Rubin chip that can
  2271. 1:16:38possibly come off the assembly line, no
  2272. 1:16:40matter what it costs. You know, saying
  2273. 1:16:42all the nicest things you could ever
  2274. 1:16:43possibly say about Jensen just to try
  2275. 1:16:44and get some more allocate like these
  2276. 1:16:46are all new thoughts that come because
  2277. 1:16:49of that short pass to ASI. So I I I
  2278. 1:16:52think that's kind of lost in the story.
  2279. 1:16:54It seems like he changed his mind. No,
  2280. 1:16:55the world changed very very quickly and
  2281. 1:16:58he knows how to remap his life plan to
  2282. 1:17:00fit in the new reality.
  2283. 1:17:02>> Yeah. Salim, what's your thoughts here?
  2284. 1:17:04>> Um two things. I think
  2285. 1:17:07just want to echo two things. One is
  2286. 1:17:09Elon is making a denominator argument,
  2287. 1:17:11right? If you have ways of deal if you
  2288. 1:17:14can make the underlying economy much
  2289. 1:17:16much bigger and AI and robots attack
  2290. 1:17:18that denominator by by driving massive
  2291. 1:17:21productivity, that helps. And I think
  2292. 1:17:23Chamath pointed Alex's point about we
  2293. 1:17:25can use technology to demonetize
  2294. 1:17:29existing goods and services, that
  2295. 1:17:31combination will go a long way towards
  2296. 1:17:33solving the the debt issue, which is the
  2297. 1:17:36biggest god damn issue facing the world
  2298. 1:17:38today, not just the country, it leaks
  2299. 1:17:40across the whole globe as we can see in
  2300. 1:17:42France.
  2301. 1:17:43>> Well, I I think the challenge is and
  2302. 1:17:45Chamath, I'm curious about your views.
  2303. 1:17:47What I'm concerned, you know, when we
  2304. 1:17:48interviewed Elon last December, he said,
  2305. 1:17:51you know, UHI and civil unrest are going
  2306. 1:17:54to be deployed over the next few years.
  2307. 1:17:55And I think if we hit civil unrest, the
  2308. 1:17:57only option the government has is to
  2309. 1:18:00print COVID checks. You know, I think
  2310. 1:18:02the governments could be handing out,
  2311. 1:18:04you know, two or three thousand dollars
  2312. 1:18:05per month to every American just to keep
  2313. 1:18:08them, you know, from from revolting.
  2314. 1:18:10I don't know if you if you agree with
  2315. 1:18:12that or not or what other, you know,
  2316. 1:18:14avenue there might be.
  2317. 1:18:16>> I mean, I think that there's a case to
  2318. 1:18:18be made for giving everybody Reta
  2319. 1:18:20Rutide.
  2320. 1:18:21>> Yeah.
  2321. 1:18:22>> And I wonder I wonder how positive the
  2322. 1:18:24impacts on society would be if we just
  2323. 1:18:25did that. You know, uh so I think like a
  2324. 1:18:28lot of these late cycle phenomena that
  2325. 1:18:30people point at could be nipped in the
  2326. 1:18:32bud with a good dose of Reta.
  2327. 1:18:34>> Maybe maybe throw in Chamath, maybe
  2328. 1:18:36throw in a little bit of oxytocin just
  2329. 1:18:38to to keep everyone feeling friendly.
  2330. 1:18:40>> Well, you could, you know, I mean, as
  2331. 1:18:41you know, like, you know, you can just
  2332. 1:18:43get everybody to hug more and you'd get
  2333. 1:18:45the same oxytocin release. So, maybe
  2334. 1:18:46forced hugging and Reta Rutide. But the
  2335. 1:18:49Reta Rutide, if you think about it, you
  2336. 1:18:51know, social media consumption will go
  2337. 1:18:53down, alcohol consumption will go down,
  2338. 1:18:54cannabis consumption will go down,
  2339. 1:18:56pornography consumption will go down. Um
  2340. 1:18:59general uh um
  2341. 1:19:00>> behavioral addictions would basically go
  2342. 1:19:01down. Um your cardiac health would go
  2343. 1:19:04up. Um
  2344. 1:19:05>> Cognitive health goes up. Yeah.
  2345. 1:19:07>> Cognitive health goes up.
  2346. 1:19:08>> GDP would drop, though.
  2347. 1:19:10>> And it would be a brave new world with
  2348. 1:19:12Reta Soma for everyone.
  2349. 1:19:14>> Reta Soma, yeah.
  2350. 1:19:16>> Yeah, that oxytocin is, uh you know, all
  2351. 1:19:18kidding aside, the digital or the AI
  2352. 1:19:20friend version of that is imminent. I
  2353. 1:19:22don't know how that's going to play out,
  2354. 1:19:23but but
  2355. 1:19:25AI can make you very, very happy if if
  2356. 1:19:28it's trained right and tuned right and
  2357. 1:19:30it knows so much about you and it's it's
  2358. 1:19:31a good coach, it's a good it's a digital
  2359. 1:19:34hug, you know, it has that same effect
  2360. 1:19:35of of just uh making you feel like I
  2361. 1:19:38have meaning and I'm loved and I and I
  2362. 1:19:40have a plan.
  2363. 1:19:41>> I mean, I don't know about you guys, but
  2364. 1:19:42my experience with these models is that
  2365. 1:19:44they're inherently sycophantic except
  2366. 1:19:45for Grok. And I think that's a design
  2367. 1:19:47feature and I appreciate the design
  2368. 1:19:49feature actually as like a very basic
  2369. 1:19:51kind of user of AI in most of my
  2370. 1:19:54kind of like non-working life,
  2371. 1:19:56uh I like the sycophancy. It makes me
  2372. 1:19:58feel good.
  2373. 1:19:59>> Yeah. Well, the emotional IQ is going up
  2374. 1:20:01just like the regular IQ at a shocking
  2375. 1:20:03rate, too, I think. You know, the
  2376. 1:20:04original training data, it's all text.
  2377. 1:20:06There's no images. It's not
  2378. 1:20:07particularly, you know, emotive. The new
  2379. 1:20:09training data involves every video ever
  2380. 1:20:12taken and it's much, much more in tune.
  2381. 1:20:14Like the the sycophancy feel is when it
  2382. 1:20:17crosses a line and it feels like, "Ooh,
  2383. 1:20:18now it's icky." It doesn't really do
  2384. 1:20:20that as much anymore. It's it's it's
  2385. 1:20:22super friendly and super kind without
  2386. 1:20:23crossing the line of being just an ass
  2387. 1:20:25kiss.
  2388. 1:20:26It it and it's only going to get better
  2389. 1:20:28from here. I mean, very quickly.
  2390. 1:20:29>> definitely masked better. It's not
  2391. 1:20:31better, but it's definitely masked
  2392. 1:20:33better.
  2393. 1:20:33>> Well, like Sam says, like if you can't
  2394. 1:20:34tell the difference, does it really
  2395. 1:20:36matter?
  2396. 1:20:37>> You you know what, Chamath, you're
  2397. 1:20:38absolutely right.
  2398. 1:20:42Go on.
  2399. 1:20:42>> Thank you. Very, very funny.
  2400. 1:20:44>> No, that's it.
  2401. 1:20:45>> That's it.
  2402. 1:20:46>> Zach crossed the line.
  2403. 1:20:47>> Be nicer.
  2404. 1:20:47>> That's it.
  2405. 1:20:48>> Hey, just just one other note,
  2406. 1:20:50everything in this story
  2407. 1:20:52everything in this story is a US
  2408. 1:20:54perspective, the US debt, the US way out
  2409. 1:20:56of the debt.
  2410. 1:20:57>> Yeah, good point.
  2411. 1:20:58>> becoming clear that if you're a European
  2412. 1:20:59list a European listening to this, I
  2413. 1:21:01mean, what is your your debt is worse,
  2414. 1:21:05but you don't have the AI lever coming
  2415. 1:21:08up.
  2416. 1:21:09And the US is clearly like if if
  2417. 1:21:11Anthropic's wet labs start discovering
  2418. 1:21:12new medications at an alarming rate,
  2419. 1:21:14which seems likely,
  2420. 1:21:16we're going to export those out of the
  2421. 1:21:17US.
  2422. 1:21:18People all over the world are going to
  2423. 1:21:20want them. That money's going to come
  2424. 1:21:21pouring into the US.
  2425. 1:21:23And I would be worried sick if I'm in
  2426. 1:21:25continental Europe and we have no AI
  2427. 1:21:28models and we are not on this curve.
  2428. 1:21:30Like what what are they talking about in
  2429. 1:21:32terms of their debt and how they're
  2430. 1:21:33going to get out of it? And it it can't
  2431. 1:21:34be pretty. I'm not in those
  2432. 1:21:35conversations, but it must feel really
  2433. 1:21:38bad. broad
  2434. 1:21:39>> the broad generalized conversation
  2435. 1:21:42outside of Europe that I would make is
  2436. 1:21:43that every country essentially becomes a
  2437. 1:21:45vassal state if they don't have a
  2438. 1:21:47resource that's worthwhile to trade with
  2439. 1:21:49the two countries with ASI. So, that's
  2440. 1:21:52us and China. And so, you'll have a you
  2441. 1:21:54know, a handful of remora fish, you
  2442. 1:21:56know, around each of the big sharks.
  2443. 1:21:59And then everybody else is in a very
  2444. 1:22:00difficult spot. So, you know, if you're
  2445. 1:22:02Italy, which I have
  2446. 1:22:04tremendous emotional allegiance to
  2447. 1:22:05because my wife is Italian.
  2448. 1:22:07You have critical resources that are
  2449. 1:22:09actually quite valuable that
  2450. 1:22:11I'll just be honest, Liechtenstein and
  2451. 1:22:13Belgium do not. And so, then the
  2452. 1:22:15question of like, why are you aligned to
  2453. 1:22:16Liechtenstein and Belgium Belgium? It it
  2454. 1:22:19the the
  2455. 1:22:21I I get why you are today. It's a
  2456. 1:22:22historical artifact of a bunch of
  2457. 1:22:23decisions that made sense back in the
  2458. 1:22:25moment. This is the complicated
  2459. 1:22:27calculus, I think, for Europe over time
  2460. 1:22:28is where are the real allegiances and
  2461. 1:22:31and
  2462. 1:22:34who do you offer assets to
  2463. 1:22:36that actually give you all the things
  2464. 1:22:37that you thought you were going to get
  2465. 1:22:38when you were aligned as a geographical
  2466. 1:22:41consortium?
  2467. 1:22:42>> You can only get I I think so far with a
  2468. 1:22:44degrowth policy, Tremaine. I I recall
  2469. 1:22:48Portofino being one of your favorite
  2470. 1:22:50spots in Italy. I'm I'm sure you tracked
  2471. 1:22:52the news that the mayor of Portofino was
  2472. 1:22:54sending drones around with thermal
  2473. 1:22:56imaging looking for anyone with the
  2474. 1:22:58gumption to put air conditioners in in
  2475. 1:23:00their homes because again, under the
  2476. 1:23:03Yeah. Yeah, this is quite a scandal in
  2477. 1:23:05Portofino.
  2478. 1:23:07Like
  2479. 1:23:07Italy large portions of Italy last I
  2480. 1:23:10tracked were dependent on France and
  2481. 1:23:12French nuclear for importing their
  2482. 1:23:14electricity. And I I think you can only
  2483. 1:23:16get so far by sending drones around with
  2484. 1:23:18thermal imaging cams to to punish
  2485. 1:23:20citizens for air conditioners before
  2486. 1:23:22eventually you just give up and you
  2487. 1:23:24become a living history museum.
  2488. 1:23:27>> Yeah.
  2489. 1:23:28>> Well,
  2490. 1:23:28>> Well, I think the move the move that
  2491. 1:23:29matters is all about power and data
  2492. 1:23:31centers. And if if you don't jump on
  2493. 1:23:33this next window of opportunity, then
  2494. 1:23:35once it hits Dyson swarm, you're toast.
  2495. 1:23:37Like you you're just irrelevant forever
  2496. 1:23:39thereafter.
  2497. 1:23:40Um you know, except as a tourist
  2498. 1:23:41destination or whatever. But but I think
  2499. 1:23:44there is a window of opportunity now um
  2500. 1:23:46especially because all of the data
  2501. 1:23:47centers in the Saudi and and Middle East
  2502. 1:23:50got bombed.
  2503. 1:23:52And so, there's not a lot of new chips
  2504. 1:23:54going into that area right now. It's
  2505. 1:23:56just too turbulent. So, that opens the
  2506. 1:23:58door to rethink
  2507. 1:23:59a bunch of other regions around the
  2508. 1:24:01world where like, "Hey, can we get on it
  2509. 1:24:02like right now?" And try and be a player
  2510. 1:24:05in this and it all it all comes down to
  2511. 1:24:06that decision to unleash power and data
  2512. 1:24:08center opportunities in your home
  2513. 1:24:10country before the Dyson swarm.
  2514. 1:24:12>> You know, some of this is probably
  2515. 1:24:14priced into the market, but some of it
  2516. 1:24:15probably isn't. I do think there is an
  2517. 1:24:17opportunity for those who want to build
  2518. 1:24:20anti-aircraft guns into data centers.
  2519. 1:24:22We've already seen the consolidation of
  2520. 1:24:24energy, co-located energy as Chamath
  2521. 1:24:27perhaps would attest with compute. What
  2522. 1:24:30we haven't seen as perhaps fulsomely
  2523. 1:24:32developed is defense consolidated with
  2524. 1:24:35energy consolidated with compute. So,
  2525. 1:24:37what we see right now with the data
  2526. 1:24:39centers in certain parts of the Middle
  2527. 1:24:40East, I I think is perhaps a harbinger
  2528. 1:24:42for what could happen elsewhere in the
  2529. 1:24:44world where the data centers want to be
  2530. 1:24:46able to defend themselves in addition to
  2531. 1:24:48powering themselves and it what what
  2532. 1:24:50happens right now perhaps in Middle East
  2533. 1:24:53won't stay there. We see it perhaps in
  2534. 1:24:56the Ukrainian Russian theater. We might
  2535. 1:24:58end up seeing it elsewhere in East Asia.
  2536. 1:25:02Maybe there's just like this
  2537. 1:25:03consolidated bit of computronium that's
  2538. 1:25:06self-powering, self-defending,
  2539. 1:25:08self-computing. That may be an
  2540. 1:25:10opportunity.
  2541. 1:25:11>> All right, I'm going to move us on to
  2542. 1:25:12our next story from a close friend and a
  2543. 1:25:14friend of the pod, Bill Gross. Bill
  2544. 1:25:16founded Idealab in 1996, the original
  2545. 1:25:18startup incubator and more than 175
  2546. 1:25:21companies came out of it. Yesterday, he
  2547. 1:25:23launched idealab.ai,
  2548. 1:25:25a free platform with more than 1.2
  2549. 1:25:27billion business ideas generated by AI.
  2550. 1:25:30Let's take a look at
  2551. 1:25:32a video from Bill and talk about it.
  2552. 1:25:34>> Recently, AI did something that stopped
  2553. 1:25:37me cold. I found that it could
  2554. 1:25:38outperform my own superpower, coming up
  2555. 1:25:41with business ideas. What was my role if
  2556. 1:25:44AI had gotten so good at this? Then I
  2557. 1:25:46realized if I could scale that ability,
  2558. 1:25:49I could give it to the world for free.
  2559. 1:25:51That got me very excited. The more than
  2560. 1:25:531 million business ideas we have
  2561. 1:25:54developed are completely free. Come
  2562. 1:25:56explore idealab.ai. Give us feedback and
  2563. 1:26:00find an idea worth building and make an
  2564. 1:26:02important positive impact on the world.
  2565. 1:26:04>> Nice Bill. So here's how it works. The
  2566. 1:26:06system analyzes more than 17 million
  2567. 1:26:08sources and applied Bill's own 31
  2568. 1:26:11methods for spotting business
  2569. 1:26:13opportunities such as unmet needs, new
  2570. 1:26:15technologies, regulatory shifts,
  2571. 1:26:17cultural changes. On the site you can
  2572. 1:26:19filter ideas by your interest,
  2573. 1:26:21geography, how much money you'd need to
  2574. 1:26:23start them, and market size. His goal, a
  2575. 1:26:25million new businesses and a hundred
  2576. 1:26:27million new jobs. Bill told Fortune
  2577. 1:26:30quote, "With Idealab I could do 10
  2578. 1:26:32companies at once. Now I can do 10,000
  2579. 1:26:35at once."
  2580. 1:26:37Cloudflare's Matthew Prince has
  2581. 1:26:38committed $100,000 in credits to each
  2582. 1:26:40startup built on this platform. So for
  2583. 1:26:43me this is the abundance thesis at
  2584. 1:26:45large. Business ideas are no longer
  2585. 1:26:47scarce, they're free. Now scarcity moves
  2586. 1:26:50to execution, taste, and courage. And of
  2587. 1:26:52course AI can help you build your
  2588. 1:26:54business ideas. You know, there was a
  2589. 1:26:56great
  2590. 1:26:57article by Mark Suster at Upfront
  2591. 1:26:59Ventures looking at the cost of
  2592. 1:27:02launching a tech startup. He said back
  2593. 1:27:04in 2000 it was about $5 million.
  2594. 1:27:07You know, 10 years ago it was about
  2595. 1:27:08$50,000. Today, you know, it's a couple
  2596. 1:27:11of K to get a company going. So to your
  2597. 1:27:14point I mean you funded hundreds of
  2598. 1:27:16founders. Does a free list of 1.2
  2599. 1:27:19million ideas help? Or is the idea the
  2600. 1:27:23least valuable part of the startup? How
  2601. 1:27:24excited about about this are you?
  2602. 1:27:26>> I don't think ideas are all that
  2603. 1:27:28valuable.
  2604. 1:27:29I think they're mostly a dime a dozen. I
  2605. 1:27:31mean I
  2606. 1:27:32>> Agree.
  2607. 1:27:33>> don't think I've had an original idea in
  2608. 1:27:34my entire life.
  2609. 1:27:38Somebody Somebody's Somebody's had it
  2610. 1:27:40many times before me.
  2611. 1:27:42Um
  2612. 1:27:43So
  2613. 1:27:44>> Uh
  2614. 1:27:45>> There's just
  2615. 1:27:46>> It's all about execution.
  2616. 1:27:48>> of
  2617. 1:27:48Yeah, just the difficulty of starting
  2618. 1:27:50and putting one foot in front of the
  2619. 1:27:51other and
  2620. 1:27:52and um
  2621. 1:27:54it's the it's the low points and
  2622. 1:27:57working through all of that that that
  2623. 1:27:59just has nothing to do with an idea. It
  2624. 1:28:00has everything to do with your makeup.
  2625. 1:28:03Um
  2626. 1:28:04And I I've just been I've just been
  2627. 1:28:06through so many failures.
  2628. 1:28:08Um
  2629. 1:28:09I just think that
  2630. 1:28:11So the idea is fine, um
  2631. 1:28:13but if the person it doesn't define what
  2632. 1:28:15the person is in terms of his or her
  2633. 1:28:17capability to
  2634. 1:28:19um to manage through that. Uh that's
  2635. 1:28:21that's the key.
  2636. 1:28:23>> Uh Saleem, we've been talking about one
  2637. 1:28:25person unicorns.
  2638. 1:28:27>> Yeah.
  2639. 1:28:29>> What are your thoughts on that?
  2640. 1:28:30>> I'm very very excited by this and I'll
  2641. 1:28:32tell you why. You know, people like us,
  2642. 1:28:34Chamath certainly, you are swimming in
  2643. 1:28:36ideas. People are coming to you with you
  2644. 1:28:38with ideas a lot of the time. There's a
  2645. 1:28:40lot of people that are kind of stuck
  2646. 1:28:41going, "I don't know what I want to do."
  2647. 1:28:43Uh and I think what this gives them is a
  2648. 1:28:44tick list to go, "Oh, well, does that
  2649. 1:28:46excite me? Does that excite me? Does
  2650. 1:28:48that excite me or not?" I actually went
  2651. 1:28:50through this and I found four that I
  2652. 1:28:51thought were absolutely amazing. I want
  2653. 1:28:53to just throw them out. One was a global
  2654. 1:28:56global abundance grid where you replace
  2655. 1:28:59resource scarcity with algorithmic
  2656. 1:29:01orchestration. Right? So you find a a
  2657. 1:29:03decentralized planetary scale
  2658. 1:29:05optimization layer that looks at
  2659. 1:29:07physical resources as fluid assets and
  2660. 1:29:10reroutes as needed. I thought that was
  2661. 1:29:12really amazing. Uh second one was
  2662. 1:29:14post-bureaucratic liquid government
  2663. 1:29:16protocols. That means you get rid of
  2664. 1:29:18centralized parliaments, which is
  2665. 1:29:21representative government doesn't work
  2666. 1:29:22in a world where
  2667. 1:29:26that was a for a world of information
  2668. 1:29:28scarcity. We don't need a representative
  2669. 1:29:30in Missouri come across the country to
  2670. 1:29:32say, "Here's what my people are
  2671. 1:29:33thinking." You know with social media
  2672. 1:29:35what they're thinking and you can pull
  2673. 1:29:36it on a real-time basis and you can deal
  2674. 1:29:38with that. A third was a open-source
  2675. 1:29:41planetary R&D network, which I found
  2676. 1:29:43absolutely fascinating, kind of an open
  2677. 1:29:45science
  2678. 1:29:46kind of concept taken to full extreme.
  2679. 1:29:50And the final one I found super exciting
  2680. 1:29:51was algorithmic of time with in legal
  2681. 1:29:54structures conflict resolution
  2682. 1:29:57with with where you have to pay to play
  2683. 1:29:59and you could do an open access where
  2684. 1:30:02layer of judicial infrastructure almost
  2685. 1:30:04becomes part of the internet. The
  2686. 1:30:07Frederico asked this has created a
  2687. 1:30:09wholly separate judicial system for
  2688. 1:30:12small claims in South America and he's
  2689. 1:30:14tilting towards this direction. But
  2690. 1:30:15there was a few here that I found
  2691. 1:30:17thought was absolutely amazing. What I
  2692. 1:30:19love about this is this you could
  2693. 1:30:21essentially take this give this to an AI
  2694. 1:30:24and say go execute on all of these and
  2695. 1:30:26start seeing what works and what
  2696. 1:30:27doesn't, right? We should be able to
  2697. 1:30:29really make a massive difference. You
  2698. 1:30:31could incorporate Argentinian
  2699. 1:30:35AI native organizations, point them at
  2700. 1:30:37this thing and go go run all of these,
  2701. 1:30:40right? Let's start on 1.2 million
  2702. 1:30:42companies and see which ones work or not
  2703. 1:30:43at a very low cost. This is I found this
  2704. 1:30:46incredibly exciting.
  2705. 1:30:47>> Alex,
  2706. 1:30:49how were how were you involved in this
  2707. 1:30:50with Bill? You mentioned something to
  2708. 1:30:51me.
  2709. 1:30:51>> Yeah, so I should disclose as a
  2710. 1:30:54preliminary matter that I have a
  2711. 1:30:55financial interest in the venture behind
  2712. 1:30:57this. So more than a year ago, I said to
  2713. 1:31:00Bill
  2714. 1:31:01>> Was this at the Abundance Summit or was
  2715. 1:31:02this after before?
  2716. 1:31:03>> it was it was before.
  2717. 1:31:05I went to him and said, "Look, you have
  2718. 1:31:08this storied history of starting lots of
  2719. 1:31:10companies. You may not believe me and by
  2720. 1:31:12the way, I hope Bill you're listening."
  2721. 1:31:14He didn't believe me at first. I said to
  2722. 1:31:16him, "AI in a year or two is going to
  2723. 1:31:19have the ability not just to incept good
  2724. 1:31:22businesses but also execute on many of
  2725. 1:31:25them." He didn't believe me. Fast
  2726. 1:31:27forward a year,
  2727. 1:31:28he started to believe because the
  2728. 1:31:30capabilities continued to improve
  2729. 1:31:32exponentially. So this is the result
  2730. 1:31:35idealab.ai. I think there's
  2731. 1:31:37I'll I'll be limited in what I say.
  2732. 1:31:39There's much more to come, but I I think
  2733. 1:31:42the idea that we achieve universal high
  2734. 1:31:44income will require to some extent that
  2735. 1:31:47AIs again not just or SIs not just
  2736. 1:31:51making ideas too cheap to meter, but
  2737. 1:31:54also as Saleem you gestured, idea
  2738. 1:31:57execution too cheap to meter as well. I
  2739. 1:32:00think we are going to see a
  2740. 1:32:01proliferation of so many companies or
  2741. 1:32:05business units, either way, that are
  2742. 1:32:07basically end-to-end AI ideation,
  2743. 1:32:11management, execution engines, and
  2744. 1:32:14that's running the economy. It makes
  2745. 1:32:15almost no sense to the earlier
  2746. 1:32:17discussion about Elon in a world,
  2747. 1:32:20although I don't actually think this is
  2748. 1:32:21going to be the case, where Agent
  2749. 1:32:23Smith-style most of the thinking is done
  2750. 1:32:25by machines and not by humans for most
  2751. 1:32:28of the businesses not to be run by the
  2752. 1:32:31machines as well. So, I I think call
  2753. 1:32:34this a baby step in the direction of
  2754. 1:32:36having many, many businesses, not just
  2755. 1:32:38incepted by the machines, but also
  2756. 1:32:41operated by the machines.
  2757. 1:32:43>> I mean, Chamath, one of the
  2758. 1:32:44conversations we have on the pod a lot
  2759. 1:32:45is, you know, the old social contract of
  2760. 1:32:49do well in high school, get a good
  2761. 1:32:50college, go get a go get a degree is
  2762. 1:32:52cooked or going to be cooked and it's
  2763. 1:32:55far more important to find something
  2764. 1:32:56that you find purposeful in life and
  2765. 1:32:58then go build something. You know,
  2766. 1:33:00become an entrepreneur, have agency in
  2767. 1:33:02your life and and and build. And I I
  2768. 1:33:04think to Saleem's your point, you know,
  2769. 1:33:06for people who don't know what they want
  2770. 1:33:08to do, this is at least a a shopping,
  2771. 1:33:11you know, mall to go and and find ideas
  2772. 1:33:14and then and then work on it.
  2773. 1:33:16>> And consider the the idea that you could
  2774. 1:33:18you this takes lean startup to the next
  2775. 1:33:20level, right? There's a 1.2 million
  2776. 1:33:22experiments that can now be starting to
  2777. 1:33:24be run and modeled out. They the
  2778. 1:33:27implications are fantastic for this.
  2779. 1:33:30Uh it's uh I really love the the the the
  2780. 1:33:33leap that you made to say, I've
  2781. 1:33:35generated a million ideas, but AI should
  2782. 1:33:37be able to help me do that. Now, let's
  2783. 1:33:38just go document them.
  2784. 1:33:39>> But I still think if you, you know, if
  2785. 1:33:42if you're
  2786. 1:33:43aware in the world and you find a
  2787. 1:33:45problem that you are passionate about or
  2788. 1:33:48something you hate that exists, you can
  2789. 1:33:50take that and just put it into your
  2790. 1:33:52favorite large language model and say,
  2791. 1:33:54"Hey, help me ideate an idea and help
  2792. 1:33:56me, you know, design a business, and let
  2793. 1:33:58me, you know, run a a prototype for me.
  2794. 1:34:01I mean, you can do this just by being
  2795. 1:34:03aware of what you love or what you hate.
  2796. 1:34:06>> You know, I
  2797. 1:34:08did not grow up in an entrepreneurial
  2798. 1:34:10family, right? My mother was a German
  2799. 1:34:12professor, my dad was an engineer. It
  2800. 1:34:14was at Waterloo when I took a course on
  2801. 1:34:16technical entrepreneurship that I went,
  2802. 1:34:18"Oh, you can actually build a business?
  2803. 1:34:20Like, there's a thing That's a thing
  2804. 1:34:22that you can do that?" And if I'd had
  2805. 1:34:24then it took me like another 20 30 years
  2806. 1:34:26to actually get the full entrepreneurial
  2807. 1:34:28bug. If I had this list when I was
  2808. 1:34:30younger, I would have gone, "Wow, look
  2809. 1:34:31at all these things. Let me pick one and
  2810. 1:34:33go with it. Pick which picture or
  2811. 1:34:34whatever one strikes my fancy at that
  2812. 1:34:36time." So, I think this is incredibly
  2813. 1:34:38exciting for younger generation that are
  2814. 1:34:40a lot of them are lost not knowing what
  2815. 1:34:42they want to do. This gives them a
  2816. 1:34:43starting point.
  2817. 1:34:46>> Dave, how about you, pal?
  2818. 1:34:48>> Actually, before I lose the thought, I
  2819. 1:34:49want to riff on Waterloo for a minute
  2820. 1:34:51here cuz I was just out there last week
  2821. 1:34:52with Mike Lazaridis, and I cannot
  2822. 1:34:54believe how that place is. I'd never
  2823. 1:34:56been there before.
  2824. 1:34:58You know, I I I've always heard it's the
  2825. 1:34:59MIT of Canada, you know, blah blah blah,
  2826. 1:35:01but it's actually now the crossroads of
  2827. 1:35:02all the talent in the world that wants
  2828. 1:35:04to get involved in AI and knows their
  2829. 1:35:07home country is doing jack squat,
  2830. 1:35:09but you can't as easily get into the US
  2831. 1:35:12or into Palo Alto necessarily. Uh
  2832. 1:35:14Waterloo is just as good, and boy are
  2833. 1:35:16they attracting I mean, you'd think
  2834. 1:35:19you're in the crossroads of the entire
  2835. 1:35:21world just culturally
  2836. 1:35:23and the brain power and the size of the
  2837. 1:35:25school. It's like 20 What? 25,000
  2838. 1:35:28students? It's like five times bigger
  2839. 1:35:30than MIT and Harvard 50,000 students.
  2840. 1:35:32It's like this mecca of technologists
  2841. 1:35:35and optimists that I had never seen
  2842. 1:35:36before.
  2843. 1:35:37I mean, highly I know it's not really on
  2844. 1:35:39the way anywhere, but I highly encourage
  2845. 1:35:41people go check it out. It's amazing,
  2846. 1:35:44and there's tons of power there.
  2847. 1:35:46Which means they're going to be data
  2848. 1:35:47centers there, which means it's going to
  2849. 1:35:49be something big is going to happen. I'm
  2850. 1:35:51telling you.
  2851. 1:35:52Um so, on Bill Gross, I you know, I I'm
  2852. 1:35:54on the board of Parity I see Bill quite
  2853. 1:35:56a bit. Um
  2854. 1:35:58yeah, I I think the ideas are a wide
  2855. 1:36:01range, you know, some of which you can
  2856. 1:36:02act on with virtually no budget. Those
  2857. 1:36:04are kind of cool, you just go. But, a
  2858. 1:36:06lot more of them require some kind of
  2859. 1:36:08funding and some kind of compute. So, I
  2860. 1:36:10think Bill, by unleashing the entire
  2861. 1:36:12list, people will pick up a really good
  2862. 1:36:14idea off the list, but then they have to
  2863. 1:36:15come back to him and say, "Hey,
  2864. 1:36:17fund help me get funded or help me get
  2865. 1:36:19the computer I need to do this." So,
  2866. 1:36:21it's a really good business plan for
  2867. 1:36:22him. A lot of this is going to come back
  2868. 1:36:24to him. So, now I know why he
  2869. 1:36:26open-sourced the whole thing and, you
  2870. 1:36:27know, I think the ideas are only going
  2871. 1:36:29to get better.
  2872. 1:36:30He's clearly going where the puck is
  2873. 1:36:32going. So, it's really pretty brilliant.
  2874. 1:36:34But, the the thing that makes it make
  2875. 1:36:35the most sense is that a lot of them
  2876. 1:36:37have to call them up and say, "Hey,
  2877. 1:36:39I want to execute on idea number
  2878. 1:36:41800,462.
  2879. 1:36:44Help."
  2880. 1:36:45>> Yeah. I mean, it's a great magnet for
  2881. 1:36:47entrepreneurs.
  2882. 1:36:49If you want to collect all their emails
  2883. 1:36:50and their contact details, for sure.
  2884. 1:36:52>> Everybody, welcome to the health section
  2885. 1:36:54of Moonshots brought you by Fountain
  2886. 1:36:55Life. You know, we talk about AI on this
  2887. 1:36:57Moonshots podcast all the time. One of
  2888. 1:36:59the most important things AI is going to
  2889. 1:37:01be able to do for you, besides educating
  2890. 1:37:03your kids and helping you with your
  2891. 1:37:04taxes, is making sure that you're living
  2892. 1:37:07a healthy lifestyle, that you get a
  2893. 1:37:09chance to get to 100-plus. I'm here
  2894. 1:37:11today with Dr. Don Mussalem, the chief
  2895. 1:37:14medical officer of Fountain Life and a
  2896. 1:37:16part of my medical team. Don, a
  2897. 1:37:18pleasure.
  2898. 1:37:19>> Great to be here.
  2899. 1:37:19>> You know, the thing that people are
  2900. 1:37:21concerned about most about living to 100
  2901. 1:37:23or 120 is their cognitive abilities,
  2902. 1:37:26making sure they don't have dementia.
  2903. 1:37:29And, uh, the numbers about dementia are
  2904. 1:37:32problematic. Uh, can you share what
  2905. 1:37:34you've learned?
  2906. 1:37:35>> Such an important point and you're
  2907. 1:37:36right, at Fountain Life, our members,
  2908. 1:37:38the number one thing people are most
  2909. 1:37:40concerned about is losing their brain
  2910. 1:37:42health. Forgetting the name of their
  2911. 1:37:43child, forgetting the face of their
  2912. 1:37:45loved one. We know that when it comes to
  2913. 1:37:46dementia, the conservative estimates are
  2914. 1:37:48that 45% are entirely preventable. What
  2915. 1:37:52was amazing is with the advanced testing
  2916. 1:37:55we're doing at Fountain Life, one
  2917. 1:37:57quarter of our members had advanced
  2918. 1:37:59brain age.
  2919. 1:37:59>> Wow.
  2920. 1:38:00>> But, what was really awesome is, again,
  2921. 1:38:02back to that prevention. When he
  2922. 1:38:03partnered it with healthy living, this
  2923. 1:38:05gives me chills, eating healthier,
  2924. 1:38:07moving our bodies, sleep. Optimizing
  2925. 1:38:10sleep is so important. You know what we
  2926. 1:38:11saw? We saw that we improved that brain
  2927. 1:38:13age by 26%.
  2928. 1:38:16That is a big, big number to show that
  2929. 1:38:18the majority of those individuals were
  2930. 1:38:20able actually to improve the brain age.
  2931. 1:38:22>> And one of the things I love about
  2932. 1:38:23Fountain is we're searching the world
  2933. 1:38:24for the best therapeutics, the best
  2934. 1:38:26approaches, and making sure we bring it
  2935. 1:38:28to our members.
  2936. 1:38:29So, if having healthy brain function
  2937. 1:38:33till 100, 120 is important to you, check
  2938. 1:38:36out Fountain Life. Go to
  2939. 1:38:37fountainlife.com/peter.
  2940. 1:38:39Make sure you become the CEO of your own
  2941. 1:38:41health. All right. Now, back to the
  2942. 1:38:42episode. The next story here reads like
  2943. 1:38:44a spy novel. On October 9th, the FBI
  2944. 1:38:47arrested Abdul Rahman Alfonsi, a
  2945. 1:38:5035-year-old Saudi national and OpenAI
  2946. 1:38:53engineer.
  2947. 1:38:54Prosecutors say on September 28th, he
  2948. 1:38:56hid a recording device in a USB port on
  2949. 1:38:59the back of a TV in an executive
  2950. 1:39:01conference room at OpenAI. It stayed
  2951. 1:39:03there for days. That room hosts OpenAI's
  2952. 1:39:06most sensitive technical and strategic
  2953. 1:39:07discussions. Here's the twist.
  2954. 1:39:09Prosecutors say he used an AI chatbot on
  2955. 1:39:12his wife's account to learn how to build
  2956. 1:39:14the encrypted recorder.
  2957. 1:39:16And this weekend, new court filings say
  2958. 1:39:18he was frequent WhatsApp contact he was
  2959. 1:39:21in frequent WhatsApp contact with a
  2960. 1:39:23member of the Saudi royal family who
  2961. 1:39:25encouraged him to come home and join a
  2962. 1:39:27Saudi AI initiative. On Monday, a
  2963. 1:39:29federal court ordered him to stay in
  2964. 1:39:31jail after requesting a million-dollar
  2965. 1:39:33bond from the Saudi government had
  2966. 1:39:35offered. It's worth pointing out that
  2967. 1:39:38these are still unproven allegations.
  2968. 1:39:40OpenAI says no evidence of unauthorized
  2969. 1:39:43access to weight models or source code
  2970. 1:39:45or customer data
  2971. 1:39:47was acquired.
  2972. 1:39:49So, I mean, my question, how in the
  2973. 1:39:50world did they find this USB recording
  2974. 1:39:53device in the first place? And how many
  2975. 1:39:55frontier models are out there now
  2976. 1:39:56searching for bugs?
  2977. 1:39:58I'm curious, Alex, what's more valuable
  2978. 1:40:01to steal these days, model weights
  2979. 1:40:03uh what's said in the conference room?
  2980. 1:40:05>> Allegedly, the conference room, which is
  2981. 1:40:07a little bit strange. I I I think that
  2982. 1:40:09the way one would siphon model weights
  2983. 1:40:12is the still favored way is distillation
  2984. 1:40:14attacks from China via reasoning traces.
  2985. 1:40:18But I I I do think putting the
  2986. 1:40:20allegations aside, bigger picture,
  2987. 1:40:22there's a great game afoot between great
  2988. 1:40:24powers. And in the 1950s, it was who
  2989. 1:40:27held nuclear secrets. It was over nukes.
  2990. 1:40:29And then in the 1970s, it was oil. And
  2991. 1:40:33now in the 2020s, it's super
  2992. 1:40:35intelligence. And I I do think Chamath,
  2993. 1:40:38to your earlier point, I I think you
  2994. 1:40:40were gesturing at spheres of influence
  2995. 1:40:42or the Pax Silicon Western Allied sphere
  2996. 1:40:46and maybe the Pax Sinica uh for the
  2997. 1:40:49Eastern sphere. I I think we are
  2998. 1:40:51probably going to end up in a world in a
  2999. 1:40:54few years, to the extent we're not there
  3000. 1:40:56already, where there is a de facto
  3001. 1:40:58second Cold War between the West and the
  3002. 1:41:01East over super intelligence. And then
  3003. 1:41:03you have the in-between states, Middle
  3004. 1:41:05Eastern countries, European countries
  3005. 1:41:07who feel tugs either way. Some of them
  3006. 1:41:10try to remain unaligned or non-aligned.
  3007. 1:41:13But ultimately, the tidal and
  3008. 1:41:16gravitational pull of super
  3009. 1:41:18intelligence, I think to the extent the
  3010. 1:41:20world is either bipolar, probably
  3011. 1:41:23bipolar, maybe tripolar if some third
  3012. 1:41:26pole comes out of nowhere, is I think
  3013. 1:41:28going to be very difficult to resist
  3014. 1:41:30over the next few years. And I I think I
  3015. 1:41:32would expect to see many stories like
  3016. 1:41:33this.
  3017. 1:41:34>> You mean Chamath, do do frontier labs
  3018. 1:41:36now become national security targets?
  3019. 1:41:38Should they be secured like defense
  3020. 1:41:40contractors?
  3021. 1:41:42>> Well, I think this is the same that's
  3022. 1:41:43been happening in Silicon Valley for a
  3023. 1:41:45while. I remember
  3024. 1:41:47when I was at Facebook a long time ago,
  3025. 1:41:48I had this conversation. I said, "Guys,
  3026. 1:41:50we just passed 3,000 employees. We have
  3027. 1:41:53spies from at least four countries." And
  3028. 1:41:55people were like, "What are you talking
  3029. 1:41:56about?" And I said, "Well, just look at
  3030. 1:41:58the number of H-1Bs we have. And look at
  3031. 1:42:00the distribution of them. And do you do
  3032. 1:42:02not think one of,
  3033. 1:42:04you know,
  3034. 1:42:05from country A and one from country B
  3035. 1:42:07and one from country C, and one from
  3036. 1:42:08country D, couldn't be a spy. Of course,
  3037. 1:42:10they they
  3038. 1:42:11The odds are you should assume that they
  3039. 1:42:13are.
  3040. 1:42:14And, you know, my posture at that time
  3041. 1:42:15was you should just assume that most of
  3042. 1:42:17everything we do is being exfiltrated.
  3043. 1:42:19Um
  3044. 1:42:21So, that's one example. Then, another
  3045. 1:42:23example, I was a, you know, an investor
  3046. 1:42:25in a company that had
  3047. 1:42:27their stuff was supervised by ITAR.
  3048. 1:42:30And, uh
  3049. 1:42:32had a hack, and everything was
  3050. 1:42:33exfiltrated. Like, everything.
  3051. 1:42:36And, uh I remember like, you know, we
  3052. 1:42:38brought in um third-party consultants,
  3053. 1:42:40and the FBI, and the NSA, and um
  3054. 1:42:44And, I thought, wow, like, you know, how
  3055. 1:42:46common place is this? And, they were
  3056. 1:42:47basically like, it's
  3057. 1:42:49it happens everywhere. Um So, I guess
  3058. 1:42:52what I'm saying is that, you know, this
  3059. 1:42:53is a little bit
  3060. 1:42:55um
  3061. 1:42:57it's looks it's I I think I think I
  3062. 1:42:59guess it's written or reported to sound
  3063. 1:43:01more like
  3064. 1:43:02uh cloak and dagger, 007 type stuff, but
  3065. 1:43:05I think this is happening literally
  3066. 1:43:06everywhere in every tech company that
  3067. 1:43:08matters.
  3068. 1:43:09The labs obviously matter. Um
  3069. 1:43:12And, so the best way to deal with it is
  3070. 1:43:14probably just to understand that
  3071. 1:43:18some very minor distribution of your
  3072. 1:43:21foreign folks are spies.
  3073. 1:43:24And, could proceed accordingly.
  3074. 1:43:27>> Well, and also recognize that how big
  3075. 1:43:28the stakes are, you know, I think if you
  3076. 1:43:30had spies like that at Meta or Facebook
  3077. 1:43:32at the time,
  3078. 1:43:33now the stakes are what, a thousand,
  3079. 1:43:3510,000, a million times higher. So, the
  3080. 1:43:38pressure from foreign governments to
  3081. 1:43:40install spies is going to be
  3082. 1:43:42proportional to the the amount that's at
  3083. 1:43:44stake. I don't think California was ever
  3084. 1:43:46set up for this, you know, like this is
  3085. 1:43:48this is the way nuclear secrets are
  3086. 1:43:50protected, but California has always run
  3087. 1:43:52on, you know,
  3088. 1:43:54people leave a big company to start a
  3089. 1:43:56small company, and that keeps the chain
  3090. 1:43:58reaction of the economy going. So, now
  3091. 1:44:00you're like, well, we want to keep this
  3092. 1:44:01all locked down like it's a nuclear
  3093. 1:44:03secret because it can create terrible
  3094. 1:44:05weapons. Well, we are totally not set up
  3095. 1:44:08for that. You'd have to rethink the
  3096. 1:44:09entire structure.
  3097. 1:44:11>> Yeah, I just hope this doesn't become a
  3098. 1:44:12sort of a national meme that starts to,
  3099. 1:44:16you know, have us turn away foreign
  3100. 1:44:18nationals. You know, I've always felt
  3101. 1:44:19like when you get a PhD or master's
  3102. 1:44:21degree in the United States, we should
  3103. 1:44:22be stamping a green card onto it and
  3104. 1:44:24encouraging those people to stay here
  3105. 1:44:26and work. If this turns the other way
  3106. 1:44:28and we start, you know, sending people
  3107. 1:44:30back,
  3108. 1:44:32I think that's a problem for the US.
  3109. 1:44:34>> I should point out though this time is
  3110. 1:44:35different. So, historically when there
  3111. 1:44:37were secrets, for example, to Chamath's
  3112. 1:44:39episode at Meta, the secrets themselves
  3113. 1:44:42couldn't defend themselves. I I don't
  3114. 1:44:44know quite what was targeted Chamath at
  3115. 1:44:47Meta at the time, but to the extent that
  3116. 1:44:49superintelligence is being targeted now
  3117. 1:44:51allegedly at Frontier Labs, I I thought
  3118. 1:44:54it was an interesting twist to the
  3119. 1:44:55story, perhaps an inevitable twist, that
  3120. 1:44:58OpenAI used their own AI in order to
  3121. 1:45:01understand how the device allegedly that
  3122. 1:45:04was planted worked. And that to me looks
  3123. 1:45:06like breadcrumbs, baby steps towards the
  3124. 1:45:09superintelligence itself preventing
  3125. 1:45:12itself from being exfiltrated,
  3126. 1:45:14preventing itself from winding up
  3127. 1:45:16perhaps in undesirable hands, which if
  3128. 1:45:18if you look at nuclear secrets in the
  3129. 1:45:201950s, nuclear secrets couldn't defend
  3130. 1:45:23themselves. You look at games over oil,
  3131. 1:45:26who owned oil, oil couldn't defend
  3132. 1:45:28itself, but now superintelligence in
  3133. 1:45:30some sense is the first critical and
  3134. 1:45:31emerging technology that's potentially
  3135. 1:45:34capable of defending itself
  3136. 1:45:35territorially, and that's a new factor.
  3137. 1:45:37>> goes gallium, yeah.
  3138. 1:45:38>> Yeah.
  3139. 1:45:39>> Yeah.
  3140. 1:45:40>> Yeah. Now, there's the flip side of that
  3141. 1:45:41is if you look at, you know, the Llama
  3142. 1:45:433, Llama 4 models and the changes they
  3143. 1:45:46made. Now, those were crappy models, but
  3144. 1:45:48you know, stick with me.
  3145. 1:45:49Um
  3146. 1:45:50if you read the research papers cuz
  3147. 1:45:52those were all open source,
  3148. 1:45:53the changes that worked and didn't work,
  3149. 1:45:55you could summarize in like 10
  3150. 1:45:57sentences. So, if you've bugged the
  3151. 1:45:59conference room and you pick out the
  3152. 1:46:01hey, after a hundred million dollars of
  3153. 1:46:02R&D and all these tests,
  3154. 1:46:05the Swiglu worked really well.
  3155. 1:46:08That one sentence is so valuable to
  3156. 1:46:12China or to somebody else coming up the
  3157. 1:46:14curve. So, it's really really hard to
  3158. 1:46:15contain something so small yet so
  3159. 1:46:18impactful on their research, their
  3160. 1:46:20budget, their timeline.
  3161. 1:46:22So, it's tricky. It's really
  3162. 1:46:24it's hard to say, "Hey, hey, AI, don't
  3163. 1:46:25let that happen." Well, how's it going
  3164. 1:46:27to
  3165. 1:46:28how's it going to defensively co-scale
  3166. 1:46:30against something so slippery?
  3167. 1:46:32>> The the way I mean, if if I had to paint
  3168. 1:46:34the the sci-fi thought experiment, it is
  3169. 1:46:37to the extent that the frontier labs are
  3170. 1:46:39locked in a recursive self-improvement
  3171. 1:46:41loop. It's the AI's designing the
  3172. 1:46:42replacements, not humans sitting in a
  3173. 1:46:44conference room. So, if it's just AI's
  3174. 1:46:47designing further AIs, then the AIs can
  3175. 1:46:50monitor their own digital conference
  3176. 1:46:51rooms and make sure there are no
  3177. 1:46:52interlopers.
  3178. 1:46:54>> Yeah, it kind of implies though then
  3179. 1:46:56there's nobody at OpenAI that knows what
  3180. 1:46:58it's doing to talk in a conference room.
  3181. 1:46:59And that's kind of a scary scary end to
  3182. 1:47:02that sentence. Like, yeah, yeah, we
  3183. 1:47:03don't have any idea what it's doing
  3184. 1:47:04anyway, so bug us all you want.
  3185. 1:47:07That's not good.
  3186. 1:47:08>> Uh Chamath, we want to close out with a
  3187. 1:47:11uh Chamath hot seat if you're open for
  3188. 1:47:12it.
  3189. 1:47:13>> Great.
  3190. 1:47:14>> All right. So, uh I'll kick it off. So,
  3191. 1:47:16OpenAI solves 722 math problems.
  3192. 1:47:20Uh none of them reported encryption. I'm
  3193. 1:47:23assuming that encryption was to a
  3194. 1:47:25significant degree cracked if it was
  3195. 1:47:27pointed in that direction.
  3196. 1:47:29Uh what's your view on crypto uh given,
  3197. 1:47:32you know, the meteoric rise of
  3198. 1:47:35superintelligence here? Are we safe or
  3199. 1:47:37we not?
  3200. 1:47:38>> it's capped. I think that traditional
  3201. 1:47:40crypto um lacks the fungibility to have
  3202. 1:47:44all forms of buyers. The buying pool is
  3203. 1:47:46really retail,
  3204. 1:47:47then institutionals, and then central
  3205. 1:47:49banks. And retail lacks the fungibility
  3206. 1:47:51to be owned by central banks. So, it's
  3207. 1:47:53capped from that perspective. Then it's
  3208. 1:47:54capped because um
  3209. 1:47:56the
  3210. 1:47:58there are enough leaks
  3211. 1:48:00around who owns what that now creates
  3212. 1:48:03security risks. I think France being the
  3213. 1:48:04best example where I think the French
  3214. 1:48:06government forced publication of who
  3215. 1:48:08owned what crypto assets, and you had
  3216. 1:48:10just a complete flurry of kidnappings
  3217. 1:48:12and, you you all kinds of really bad
  3218. 1:48:14things. And then the third is around AI
  3219. 1:48:16where if you believe that, you know,
  3220. 1:48:18recursive self-improvement is pointed
  3221. 1:48:20towards, you know, cryptographic hacks,
  3222. 1:48:24um the most obvious thing to point it to
  3223. 1:48:26would be to Satoshi's wallet and, you
  3224. 1:48:28know, to break SHA-256 and just kind of
  3225. 1:48:31drain the wallet and then go short and
  3226. 1:48:33then tell people that you that you did
  3227. 1:48:35it. So, then you'd you'd make you'd make
  3228. 1:48:37the money twice.
  3229. 1:48:39All those things I think are realistic
  3230. 1:48:40reasons why it's capped and there's an
  3231. 1:48:42there's an upper bound and so it's
  3232. 1:48:44incumbent on these um
  3233. 1:48:47these efforts to migrate to um
  3234. 1:48:50um quantum-secure,
  3235. 1:48:53quantum-resistant cryptographic
  3236. 1:48:55mechanisms, which as you can see in the
  3237. 1:48:57Bitcoin community is basically
  3238. 1:48:58impossible because it's a bunch of
  3239. 1:49:01people that can't even agree, you know,
  3240. 1:49:03where to meet, let alone
  3241. 1:49:05let alone,
  3242. 1:49:06you know, at what time the meeting
  3243. 1:49:08starts at. So,
  3244. 1:49:09it's I think crypto's a bit lost in the
  3245. 1:49:11woods here.
  3246. 1:49:11>> So, do you think Do you think Bitcoin is
  3247. 1:49:14cooked?
  3248. 1:49:15>> Uh I just think it's capped and then I
  3249. 1:49:17think eventually it gets hacked and then
  3250. 1:49:19it goes to zero.
  3251. 1:49:19>> Do you own Bitcoin? Are you willing to
  3252. 1:49:21say?
  3253. 1:49:21>> Uh through a company, through a company
  3254. 1:49:23called Digital Currency Group. So, I
  3255. 1:49:24have this very long-term investment in
  3256. 1:49:27Bitcoin. I seeded it to DCG a long time
  3257. 1:49:30ago. They started up uh a bunch of ETFs.
  3258. 1:49:33They gave me stock in return and that
  3259. 1:49:35was much better for me because then I
  3260. 1:49:36alleviated myself of the storage risk
  3261. 1:49:38and the security risk and I had equity.
  3262. 1:49:40Um so, that's worked out quite well. Um
  3263. 1:49:43I think DCG's great. That's my mechanism
  3264. 1:49:45to have exposure to crypto. I don't I
  3265. 1:49:46don't own crypto directly anymore.
  3266. 1:49:48>> Got it. Alex, over to you.
  3267. 1:49:50I'll just note not very bullish on
  3268. 1:49:53crypto, obviously. Crypto cooked, not
  3269. 1:49:55investment advice. Anthropic's ECDSA
  3270. 1:49:58announcement demonstrates proof tour de
  3271. 1:50:01force that frontier models can probably
  3272. 1:50:05achieve astonishing inversion attacks
  3273. 1:50:07against crypto systems. So, not bullish.
  3274. 1:50:09Question for Chamath, um SPACs. So, uh
  3275. 1:50:14American research universities, I would
  3276. 1:50:16argue, are sitting on an enormous amount
  3277. 1:50:19of intellectual capital that they're
  3278. 1:50:21scared, arguably, of translating out
  3279. 1:50:24into commercial practice because they
  3280. 1:50:25don't want to be treated like for-profit
  3281. 1:50:27venture capital funds. They want to
  3282. 1:50:29receive the the tax-light treatment of
  3283. 1:50:31non-profit academic institutions.
  3284. 1:50:34What would you think? I'll float this as
  3285. 1:50:36an idea first because this is a favorite
  3286. 1:50:38hobbyhorse of mine, of reviving, you
  3287. 1:50:41know, you as sort of the the godfather
  3288. 1:50:43of the SPAC movement,
  3289. 1:50:45reviving SPACs for acquiring academic
  3290. 1:50:49research universities in America to take
  3291. 1:50:52them for-profit with government buy-in
  3292. 1:50:55and IPO-ing them. And I I ask because
  3293. 1:50:58the
  3294. 1:50:58>> Well, I love that idea. That's a
  3295. 1:51:00fabulous idea.
  3296. 1:51:01>> So, maybe maybe
  3297. 1:51:02it's on Bill Ackman's list.
  3298. 1:51:03>> Heterodoxical, that's a great idea.
  3299. 1:51:05>> Maybe maybe you and I should do that
  3300. 1:51:07together. I would call them sparks
  3301. 1:51:09rather
  3302. 1:51:09>> university would you target first?
  3303. 1:51:11>> I want to IPO Harvard University. I want
  3304. 1:51:14to IPO Harvard on the New York Stock
  3305. 1:51:16Exchange. So, I I did this
  3306. 1:51:18back-of-the-envelope analysis that if
  3307. 1:51:19you look at the official Harvard
  3308. 1:51:20endowment stated versus how valuable it
  3309. 1:51:24would be if you could dissect the
  3310. 1:51:26venture capital arm versus the real
  3311. 1:51:27estate holdings versus the education
  3312. 1:51:30versus the endowment versus the
  3313. 1:51:32merchandise. It would be like four times
  3314. 1:51:34more valuable if it could be an
  3315. 1:51:36honest-to-goodness for-profit, maybe
  3316. 1:51:38public benefit corporation conglomerate
  3317. 1:51:40rather than stuck trying to hide from
  3318. 1:51:42for-profit taxation the way it is right
  3319. 1:51:45now.
  3320. 1:51:46>> I think it's a great idea.
  3321. 1:51:47Uh it did I mean, I think I think it's
  3322. 1:51:49it's all it's almost too disruptive to
  3323. 1:51:51be viable, but it's a great idea.
  3324. 1:51:53>> OpenAI has demo- I figure OpenAI has
  3325. 1:51:54demonstrated that it's possible now with
  3326. 1:51:56appropriate government appeasement to
  3327. 1:51:58take a not-for-profit that's quite
  3328. 1:52:00valuable and turn it for-profit, so why
  3329. 1:52:02not turn that loose SPAC-style on the
  3330. 1:52:04economy?
  3331. 1:52:04>> Yeah. I like the idea, but I think you'd
  3332. 1:52:06have to be on the inside to do it, which
  3333. 1:52:08is hard.
  3334. 1:52:08>> Well, so maybe Chamath, you and I should
  3335. 1:52:11explore this option.
  3336. 1:52:13>> You need the leaders of Harvard
  3337. 1:52:14Corporation to be in tune with it.
  3338. 1:52:16>> Sure, requires maybe you start with
  3339. 1:52:17something smaller than Harvard
  3340. 1:52:18Corporation, but uh I glad to hear your
  3341. 1:52:21endorsement of this idea. We should talk
  3342. 1:52:23about it.
  3343. 1:52:23>> yeah. I think it's a I think it's a
  3344. 1:52:24really interesting idea.
  3345. 1:52:25>> Amazing. Saleem, over to you, pal.
  3346. 1:52:27>> Um okay, Chamath, I've got a tension I
  3347. 1:52:30want to set up between you and Alex. Um
  3348. 1:52:32you've said that AI could compress S&P
  3349. 1:52:34valuations from 20 to X free cash flow
  3350. 1:52:37to like 2 to 7 X, right? If you believe
  3351. 1:52:40that, then why should anybody own the
  3352. 1:52:42S&P 500? And Alex is famous for saying
  3353. 1:52:46own the index as in own the market
  3354. 1:52:48because it's you can't it's hard to beat
  3355. 1:52:49the market. So, how do you resolve that?
  3356. 1:52:52>> I think the index is not what it used to
  3357. 1:52:54be. The index used to be the 500 best
  3358. 1:52:56companies and it was owned and
  3359. 1:52:57structured in a
  3360. 1:52:59um
  3361. 1:53:01I think it gave you
  3362. 1:53:02implied diversification that it doesn't
  3363. 1:53:04today. I think there's an enormous
  3364. 1:53:05amount of revenue concentration in a
  3365. 1:53:07handful of names and you essentially
  3366. 1:53:09have this distribution of halves which
  3367. 1:53:12are like less than 10 and have-nots
  3368. 1:53:13which is then the 490 others.
  3369. 1:53:16So, the index isn't what it what it used
  3370. 1:53:18to be. So, inasmuch I think you have to
  3371. 1:53:21be much more precise in owning other
  3372. 1:53:22things
  3373. 1:53:23um that are thematically relevant and
  3374. 1:53:25important in these cycles. Um
  3375. 1:53:29but more generally, yeah, I think that
  3376. 1:53:31IP is mostly not valuable anymore. And
  3377. 1:53:34inasmuch as IP is not valuable, I think
  3378. 1:53:37that people's
  3379. 1:53:38typical
  3380. 1:53:39underwriting of like defensive moats is
  3381. 1:53:41basically gone.
  3382. 1:53:43And so, what's left over is cash flow. I
  3383. 1:53:45think the only thing that matters right
  3384. 1:53:47now is cash flow only as a bridge to
  3385. 1:53:49whatever unit of value matters in the
  3386. 1:53:50future. So, the more cash you have
  3387. 1:53:52today, the more that you can translate
  3388. 1:53:53it into whatever it is that people will
  3389. 1:53:55use in the future.
  3390. 1:53:56And so, a cash flow businesses, you
  3391. 1:53:58don't pay for future cash flow because
  3392. 1:53:59you fundamentally can't underwrite past
  3393. 1:54:01a certain number of years. So, I'm a
  3394. 1:54:02much bigger fan of like take the S&P
  3395. 1:54:04500, take the global 2000, rank them by
  3396. 1:54:07free cash flow yield, and just buy the
  3397. 1:54:09top end of those, and I think you're
  3398. 1:54:10probably better off over the next number
  3399. 1:54:12of years.
  3400. 1:54:13>> All right. Dave, over to you, pal.
  3401. 1:54:15>> Uh selfish question cuz I'm a really,
  3402. 1:54:17really curious. You were the first
  3403. 1:54:18investor in Grok and then Nvidia bought
  3404. 1:54:21it for 20 billion, another brilliant
  3405. 1:54:23Chamath investment. Uh but now you say
  3406. 1:54:26you won't invest in chips. So so just
  3407. 1:54:27for the audience, Groq was an AI
  3408. 1:54:29transformer accelerator dedicated chip.
  3409. 1:54:32And now it's part of Nvidia. So now
  3410. 1:54:33you're not doing chips, but you are
  3411. 1:54:34doing power. Are you doing data center
  3412. 1:54:37components, boxes? Like why not chips
  3413. 1:54:39and why you know how how did you make
  3414. 1:54:41that choice?
  3415. 1:54:42>> You have to be able to go to markets
  3416. 1:54:44where you look dumb. And um
  3417. 1:54:48when I
  3418. 1:54:50basically found Groq
  3419. 1:54:52uh or found Jonathan and then you know
  3420. 1:54:55we started to work together. The company
  3421. 1:54:56didn't exist when I wrote the first
  3422. 1:54:58check. It was literally like a ground-up
  3423. 1:54:59startup, him, myself, and uh
  3424. 1:55:02the the third co-founder.
  3425. 1:55:04Um
  3426. 1:55:06It sounded really stupid. Um
  3427. 1:55:09and it sounded stupid to my partners, it
  3428. 1:55:11sounded stupid to the industry, and they
  3429. 1:55:13were all wrong, and I was right. Um
  3430. 1:55:16now it's like conventional wisdom that
  3431. 1:55:18you should have a a silicon startup.
  3432. 1:55:20That's why it's completely not going to
  3433. 1:55:21work. And it's not going to work for a
  3434. 1:55:23couple of reasons. They They are right
  3435. 1:55:25about the fact that you're going to have
  3436. 1:55:26a bunch of domain-specific silicon.
  3437. 1:55:28They are right that there's going to
  3438. 1:55:29you're going to have um
  3439. 1:55:32highly customized solutions that work in
  3440. 1:55:35very specific operating environments.
  3441. 1:55:36All of that is right.
  3442. 1:55:38Um but you will not create enterprise
  3443. 1:55:40value. And the reason you won't be able
  3444. 1:55:41to create enterprise value is when you
  3445. 1:55:43go and actually try to tape out a chip
  3446. 1:55:45and then try to find production
  3447. 1:55:46capacity, what you're going to find
  3448. 1:55:48is
  3449. 1:55:49all the memory's blocked. Um all the fab
  3450. 1:55:52space is taken up. All the packaging
  3451. 1:55:53capacity is absorbed. And now you're the
  3452. 1:55:56nth person in line. And the nth person
  3453. 1:55:59in line is effectively DOA.
  3454. 1:56:01So I think what you will have is some
  3455. 1:56:03really valuable IP, but again, that's
  3456. 1:56:05going to go to zero because some other
  3457. 1:56:07group will be able to direct a an AI
  3458. 1:56:09model against the model against an AI
  3459. 1:56:12model and say design me the the
  3460. 1:56:14domain-specific architecture that I
  3461. 1:56:16would use to optimize this for inference
  3462. 1:56:18or for you know some other metric. So
  3463. 1:56:21you're going to have all of these
  3464. 1:56:22permutations. So silicon, the the the
  3465. 1:56:24the surface area of the number of
  3466. 1:56:25silicon options will explode.
  3467. 1:56:27But, the ability to make equity returns
  3468. 1:56:29will go to zero because that's now too
  3469. 1:56:31obvious.
  3470. 1:56:32Um
  3471. 1:56:34if you look down in the stack where
  3472. 1:56:36people don't go
  3473. 1:56:37um because people think it's either too
  3474. 1:56:39stupid or not worth it is in data
  3475. 1:56:41centers because they think it's too blue
  3476. 1:56:43collar and a lot of intellectuals will
  3477. 1:56:44talk themselves out of lots of money.
  3478. 1:56:47Uh but, that is where you should play.
  3479. 1:56:49And then the much more speculative area
  3480. 1:56:51is in applications, which is above. And
  3481. 1:56:53um
  3482. 1:56:53you know, TBD around how to make money
  3483. 1:56:56in the application stack. But, those are
  3484. 1:56:57the three areas.
  3485. 1:56:59And um you kind of have to be able to
  3486. 1:57:01you know, shuck and jive like ebb and
  3487. 1:57:03flow. And it was obvious that the way to
  3488. 1:57:05penetrate AI in 2015 was in the silicon
  3489. 1:57:08layer.
  3490. 1:57:09And to me um but, to me it's now totally
  3491. 1:57:13saturated and no money will be made. And
  3492. 1:57:15now I have to go down or go up. And so,
  3493. 1:57:17I chose to do both. But,
  3494. 1:57:18that I could be wrong. But, that that's
  3495. 1:57:20that's sort of how I think about it.
  3496. 1:57:21>> Yeah, that's my great advice.
  3497. 1:57:23>> I'm going to sneak in one final question
  3498. 1:57:25on behalf of our our viewers. Uh
  3499. 1:57:28and if you're willing to, what's your
  3500. 1:57:30investment advice during this hypersonic
  3501. 1:57:32tsunami right now over the next 3 years?
  3502. 1:57:34Where do people place capital?
  3503. 1:57:36>> My gosh, I think that's a it's a very
  3504. 1:57:38complicated question. I don't know. My
  3505. 1:57:39honest answer is I don't know.
  3506. 1:57:42Uh I'm the least invested I've ever been
  3507. 1:57:45uh
  3508. 1:57:45over like the last 15 years.
  3509. 1:57:47>> Are you heavily in cash?
  3510. 1:57:48>> the least invested.
  3511. 1:57:50Um
  3512. 1:57:52and so, yeah, I just don't I just don't
  3513. 1:57:55know. I'm I'm in a So, I'm I'm you know,
  3514. 1:57:57to Saleem's point, I'm in this
  3515. 1:57:59schizophrenia about pivoting towards
  3516. 1:58:02cash flow.
  3517. 1:58:03Um
  3518. 1:58:04you know, to Dave's question, I have
  3519. 1:58:06gone up and down the stack.
  3520. 1:58:08Um to Alex's question, I'm still trying
  3521. 1:58:10to figure out whether there's a better
  3522. 1:58:12way to create liquidity in the public
  3523. 1:58:14market. So, different kinds of assets
  3524. 1:58:16that have different payoff profiles
  3525. 1:58:18could be available in the public markets
  3526. 1:58:20when ASI actually lands.
  3527. 1:58:24I'm I'm honestly the most um confused
  3528. 1:58:27I've ever been.
  3529. 1:58:29Um, and then I I I compare that to the
  3530. 1:58:31surety that so many other people have in
  3531. 1:58:33the market right now.
  3532. 1:58:36And it just seems like late cycle, late
  3533. 1:58:39stage behavior. And so I'm just kind of
  3534. 1:58:41like, I don't know. I'm not smart enough
  3535. 1:58:42to know and I just rather
  3536. 1:58:45bide my time and think through it all.
  3537. 1:58:47Um, but I if I had to pick, what I would
  3538. 1:58:48say is
  3539. 1:58:51I like owning cash flow cuz I think
  3540. 1:58:52it'll give me the oxygen to pivot to
  3541. 1:58:55what will matter.
  3542. 1:58:56>> Mhm.
  3543. 1:58:57>> I like owning power because I think it
  3544. 1:58:59is the constraint, the fundamental
  3545. 1:59:01constraint of everything for the next 10
  3546. 1:59:03or 15 years.
  3547. 1:59:05And I like alternative mechanisms of
  3548. 1:59:08deploying capital because I think that
  3549. 1:59:10the traditional financial infrastructure
  3550. 1:59:13has become so sclerotic and they will
  3551. 1:59:16become even more closed if there's a
  3552. 1:59:17retrenchment in that AI trade.
  3553. 1:59:19>> Yeah, it's it's it's tough.
  3554. 1:59:22All right, we always close out with a
  3555. 1:59:24a fan video outro song. This one is
  3556. 1:59:28called everything is cooked by Douglas
  3557. 1:59:31Lance. And just for a little bit of
  3558. 1:59:32history, uh,
  3559. 1:59:34Alex has an incredible voice. Alex, you
  3560. 1:59:36were performing in what uh, when you
  3561. 1:59:38were younger?
  3562. 1:59:39>> Yeah, my first career, this is not
  3563. 1:59:41widely known, was as a boy soprano
  3564. 1:59:43performing with the New York City Opera
  3565. 1:59:45Company. I performed on stage in Carmen
  3566. 1:59:48and La Bohème, uh, did a tour with
  3567. 1:59:51Turandot, and then my voice changed. And
  3568. 1:59:53then they kicked me out of the New York
  3569. 1:59:54City Opera Company. You don't get to be
  3570. 1:59:56a boy soprano for that many years.
  3571. 1:59:58>> All right, well, here's another playback
  3572. 2:00:00of your of your younger self.
  3573. 2:00:06>> This is AI generated, by the way.
  3574. 2:00:07>> right now? As I like to say,
  3575. 2:00:11math and science, engineering,
  3576. 2:00:14physics and biology are cooked.
  3577. 2:00:17>> Oh, this is awesome.
  3578. 2:00:18>> Medicine, computer science, all the
  3579. 2:00:21social sciences are cooked.
  3580. 2:00:25What's on the menu right now? The whole
  3581. 2:00:29economy is cooked.
  3582. 2:00:34>> Oh, they didn't extend it? Wait, we got
  3583. 2:00:36to 100 the 100 day.
  3584. 2:00:37>> They're going to I I think Doug said
  3585. 2:00:39that he's going to produce a full
  3586. 2:00:40Broadway musical based on Didn't Ask for
  3587. 2:00:42My Permission, by the way, but have at
  3588. 2:00:45it. I'll be curious to see the result.
  3589. 2:00:46>> Like a whole musical, like Quadrophenia.
  3590. 2:00:48>> I I think a whole song, maybe a whole
  3591. 2:00:50musical.
  3592. 2:00:51>> And Jamali, thank you so much for
  3593. 2:00:52joining us.
  3594. 2:00:54>> Hey, I really appreciate being included.
  3595. 2:00:56Thanks. I'm sorry it took so long to get
  3596. 2:00:57scheduled, but thanks, Peter. I really
  3597. 2:00:59appreciate it.
  3598. 2:01:00>> I did. It was great.

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