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AI Cyber Panic, Ken Griffin’s Bubble Warning, The Fall of France? — Transcript

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  1. 0:00All right, everybody, welcome to the
  2. 0:01literal number one podcast in the world,
  3. 0:043 weeks running. We got a lot to get to.
  4. 0:06Sachs is out this week. We've got a
  5. 0:08special guest coming up. Let's get to
  6. 0:10our first story. Ken Griffin says AI is
  7. 0:13almost certainly a bubble, and Chamath
  8. 0:16has responded. Chamath responding and
  9. 0:18moving markets almost every week here on
  10. 0:20the pod. Look out, France.
  11. 0:22>> [laughter]
  12. 0:23>> The Citadel founder made the comments
  13. 0:25this week at the company's annual future
  14. 0:28of global markets conference. But he
  15. 0:30says generally, hey, bubbles are normal.
  16. 0:32Any radical transformation of our
  17. 0:34economy is generally intertwined with a
  18. 0:35bubble. He said he's bullish on AI's
  19. 0:38long-term potential, but his concern is
  20. 0:41that companies are struggling to turn AI
  21. 0:43spending into productivity, something
  22. 0:45we've talked about here, I guess last
  23. 0:47year.
  24. 0:48And so, companies are, quote, looking at
  25. 0:52their bills from Anthropic and OpenAI
  26. 0:54and asking where the productivity is. We
  27. 0:56we had this discussion over and over
  28. 0:57again. On Thursday, tech continued to
  29. 1:00get
  30. 1:01crushed on the
  31. 1:04data center and CapEx front. So, people
  32. 1:06who are either making data centers, like
  33. 1:08CoreWeave, down 10%, or having a huge AI
  34. 1:12spend. Meta, which is an extraordinary
  35. 1:14one there, it's down 6% after earnings.
  36. 1:16AMD down 5%. SpaceX was down 5%. But
  37. 1:19these things have been swinging up and
  38. 1:20down a bit and generally trending up.
  39. 1:23Chamath, what's your take here on the
  40. 1:26market sentiment, October 22nd,
  41. 1:292026? What are your thoughts here on how
  42. 1:32markets are viewing the AI,
  43. 1:34quote-unquote, bubble? And do you have
  44. 1:36concerns, cuz
  45. 1:37Jensen from Nvidia thinks
  46. 1:40money is available and money is going to
  47. 1:42want this opportunity to finance it, and
  48. 1:45I think we all think companies are
  49. 1:46getting a ton of value out of AI
  50. 1:49technologies.
  51. 1:50>> My Social Capital research team had a
  52. 1:53really great call with Ramp's
  53. 1:56chief economist, Ara
  54. 1:58The first question that they had was
  55. 2:00because like I was doing my own math
  56. 2:04and I tweeted this thing, Nick, maybe
  57. 2:06you can put it back up there, where I
  58. 2:08said, "Okay,
  59. 2:09my back of the envelope math, knowing
  60. 2:11everything that I know and everything
  61. 2:12that I see, is about 1%
  62. 2:16of
  63. 2:18all of the companies represent 90%
  64. 2:23of all the revenue. And
  65. 2:26>> Revenue for AI spend?
  66. 2:28>> Yeah, so what I said was 1% of companies
  67. 2:30represent 90% of AI spending, so that's
  68. 2:32tokens. And of that 90%,
  69. 2:3480% of them
  70. 2:36are from unprofitable VC-backed
  71. 2:38companies. So, the cycle here, just to
  72. 2:40be very precise, is
  73. 2:42VCs raise from pension funds and LPs and
  74. 2:45foundations and family offices.
  75. 2:47They put money into a startup.
  76. 2:50That startup
  77. 2:52takes that money
  78. 2:54and invests in growth.
  79. 2:57Part of growing is by consuming other
  80. 2:59people's AIs.
  81. 3:01And so, that company then starts to show
  82. 3:03revenue traction.
  83. 3:05Those folks then say, "Hey, look how
  84. 3:06well we're doing." Raises a bunch of
  85. 3:08money from the same VCs, and it's just
  86. 3:10this circularity.
  87. 3:11Why that's important
  88. 3:13is what Chamath is pointing out is that
  89. 3:16for AI to really scale as a predictable
  90. 3:19driver of long-term earnings,
  91. 3:22it has to diffuse out of the startup
  92. 3:24ecosystem.
  93. 3:25And so, you can't be in a situation
  94. 3:27where on the one hand you're talking
  95. 3:28about breathtaking valuations,
  96. 3:31but where 75 cents of every dollar is
  97. 3:35actually just a startup sending it back
  98. 3:37and forth so that they can mark
  99. 3:38themselves up. That's I think a a
  100. 3:40structural problem. Now,
  101. 3:42we've seen that structural problem in
  102. 3:43the past. That happened in the early
  103. 3:45days of cloud when AWS initially started
  104. 3:48to
  105. 3:50expose EC2 and S3, the consumers of an
  106. 3:53EC2 instance or an S3 bucket were
  107. 3:55startups. But the difference there is
  108. 3:57that AWS was abstracted from Amazon
  109. 4:00retail, which was already then a roughly
  110. 4:03break-even profitable business, at least
  111. 4:05on a free cash flow basis. So what's
  112. 4:06different here is you have a bunch of
  113. 4:08money-losing entities just spinning a
  114. 4:10bunch of money around, and it has to
  115. 4:11diffuse more broadly. So I think that
  116. 4:14that's what Ken is observing. Now, when
  117. 4:16we brought that data to Ramp, the quote
  118. 4:18is incredible because this is what my
  119. 4:19researcher told me, "I prepared a list
  120. 4:21of factors to see if your thesis" This
  121. 4:23is him texting me.
  122. 4:25around VC money being 80 to 90%
  123. 4:28of the top 1% of AI spend. But he said,
  124. 4:30"Chamath's actual estimate is pretty
  125. 4:32much correct." And then the second thing
  126. 4:34though that he said, he sent us and Ramp
  127. 4:36hasn't published the chart, so thanks to
  128. 4:37Ramp and thanks to Arav. He said we
  129. 4:39could we could be the first ones to
  130. 4:40publish this.
  131. 4:41>> And just to be clear for the audience,
  132. 4:42Ramp provides financial services, neo
  133. 4:44bank, credit cards, primarily to
  134. 4:47startups. So they know startup data.
  135. 4:49There's a free commercial.
  136. 4:50>> Yeah. I think they know broad-based data
  137. 4:51from other data sources as well, and I
  138. 4:53think Arav has access to all of it. But
  139. 4:54they're But what he said is
  140. 4:56Now, look at this chart. So what this
  141. 4:58shows is how are the top 1% of spenders
  142. 5:02in AI spending their money?
  143. 5:05And uh I think that Ramp is going to
  144. 5:07publish this soon, as I said, so thanks
  145. 5:08to them for letting us preview this.
  146. 5:10What's amazing to me is the blue box in
  147. 5:13this histogram. What this shows is what
  148. 5:15percentage of money they are spending on
  149. 5:19GPU compute. Now, why does that matter?
  150. 5:21Well, the rose-colored box is LLM
  151. 5:24traffic. That's the typical spend you're
  152. 5:25going to spend on the big frontier labs
  153. 5:28closed models effectively, either
  154. 5:30through things like bedrock on AWS or
  155. 5:32what have you.
  156. 5:33What's really interesting is that the
  157. 5:35blue box is ticking up. The blue box is
  158. 5:36people buying their own GPUs because
  159. 5:38they're moving to open source.
  160. 5:40And so what I think is really
  161. 5:42interesting is you have this two-pronged
  162. 5:43thing that's happening. One is
  163. 5:47the diffusion we need
  164. 5:49within AI is happening a little bit
  165. 5:51slower than we would all would like.
  166. 5:53I see that at 80 90s well. I think the
  167. 5:55large companies that we work with
  168. 5:57you can almost pinpoint it on a chart
  169. 5:59ever since Alex Karp's commentary on
  170. 6:02CNBC about data sovereignty
  171. 6:04buying patterns have changed. And I
  172. 6:07think people are being a lot more
  173. 6:08methodical.
  174. 6:09They are building out their own data
  175. 6:12centers or at least moving into VPCs
  176. 6:14virtual private clouds.
  177. 6:16My team yesterday was at the CIO event
  178. 6:18of let's say one of the largest banks in
  179. 6:20America.
  180. 6:22You know what they said? I'm not going
  181. 6:23to say the name of the bank. It was the
  182. 6:25most incredible thing.
  183. 6:26They said, "We have decreased our spend
  184. 6:28on AWS and GCP. We now have six
  185. 6:32completely independent ground-up data
  186. 6:35centers that we built from scratch for
  187. 6:36ourselves." And I was like, "What is
  188. 6:38going on here?"
  189. 6:39>> Wow, we're back to the future. People
  190. 6:41standing up their own data centers,
  191. 6:42yeah.
  192. 6:43>> It's back to the future. So, I think if
  193. 6:45you look at this I didn't mean to have
  194. 6:47any commentary other than just observing
  195. 6:49what I think, but yeah.
  196. 6:51AI has a diffusion problem. It is too
  197. 6:53concentrated and ripping around in a
  198. 6:55small little ecosystem. We need to
  199. 6:56diffuse out, but as it diffuses out
  200. 6:58people are picking open source is what I
  201. 7:00would tell you.
  202. 7:00>> And we we we were early on that
  203. 7:02discussion 2 years ago here on the
  204. 7:04All-In pod. I will say Ken Griffin, and
  205. 7:06I didn't hear the full
  206. 7:08um quotes here
  207. 7:09um cuz I wasn't in the room where it
  208. 7:11happened. However,
  209. 7:13um
  210. 7:14based on the quote, I think he may um
  211. 7:17have something slightly wrong. When
  212. 7:18startups flood to a technology, that is
  213. 7:21a strong signal. Why? Startups and I
  214. 7:24invest in a hundred a year and we
  215. 7:26evaluate over 10,000 a year at my fund,
  216. 7:29they
  217. 7:30look for the cheapest, best, fastest
  218. 7:32edge they can get. What is the biggest
  219. 7:35edge they could get 20 15 20 years ago?
  220. 7:38It was cloud computing. They saved a lot
  221. 7:39of money. It it WeWork. They saved a lot
  222. 7:41of money. It was more efficient. And
  223. 7:43then it was Facebook ads. Facebook ads
  224. 7:44were mispriced, they were super cheap.
  225. 7:46They
  226. 7:47dumped all their VC money into Facebook
  227. 7:49ads. Then and now it's become AI. For
  228. 7:53the last 2 years, yes, they've been
  229. 7:53dumping into it. So, if you see startups
  230. 7:56rush to a technology or rush to a trend
  231. 7:58and start spending all their VC money on
  232. 8:00it, it means this little colony of two
  233. 8:04to 200-person companies have determined,
  234. 8:06and they're the most nimble, that this
  235. 8:08is the best solution. So, that's a tell
  236. 8:10that things are going in the right
  237. 8:11direction. The big, slow, cumbersome
  238. 8:14enterprises, they're the slowest to the
  239. 8:16new technology, and that's why they buy
  240. 8:18startups all the time. Speaking of
  241. 8:20buying startups all the time,
  242. 8:22my guy Nikesh is here from Palo Alto
  243. 8:25Networks to tell us
  244. 8:27if
  245. 8:28this is the end of days and all of our
  246. 8:30bank accounts and uh if Bitcoin is going
  247. 8:33to get hacked this weekend and buy more
  248. 8:36guns and chickens and eggs and drill
  249. 8:38well. Welcome back to the program,
  250. 8:40Nikesh Arora. How are you, sir?
  251. 8:43>> I'm doing great. Thank you for having
  252. 8:44me, guys.
  253. 8:45>> And you had a nice event last week,
  254. 8:47didn't you? A little nice event in Napa.
  255. 8:49>> I did. We had a bunch of CIOs, not just
  256. 8:52one bank CIO like Chamath said. But
  257. 8:53before we jump into the end of days, I I
  258. 8:56do want to say something to what you
  259. 8:57guys were talking about earlier. Yeah,
  260. 8:58but
  261. 8:59the open source versus the the sort of
  262. 9:02the hyperscalers providing info. So,
  263. 9:04then we had this peculiar problem. So,
  264. 9:06we'd like to embrace AI as quickly as
  265. 9:08many of the startups. And we've gone
  266. 9:10gone through all the understanding, all
  267. 9:12the analysis, open source versus cloud
  268. 9:13models, and we
  269. 9:15preference open source open weight
  270. 9:16because it allows us to modify the
  271. 9:18weights and train them. And something
  272. 9:20which most people don't talk about is it
  273. 9:22allows us to
  274. 9:24interrogate the chain of thought.
  275. 9:27Cuz over time what's going to happen is
  276. 9:28all of us enterprises are going to need
  277. 9:30explainability, auditability, and verify
  278. 9:32stuff.
  279. 9:32>> 100%. 100%.
  280. 9:34>> If I can't validate, it's not going to
  281. 9:35be okay to go to your boss and say, "I
  282. 9:36don't know what happened, but the IT
  283. 9:38guys put an AI model in there and it did
  284. 9:40it." That's not explainable to the
  285. 9:42regulator in financial services and
  286. 9:44health care. So, they want
  287. 9:45explainability, verifiability, and and,
  288. 9:48you know,
  289. 9:49uh auditability. And we can only get
  290. 9:51that with open source open weight
  291. 9:52models. We can interrogate chain of
  292. 9:53thoughts. That's kind of one reason
  293. 9:55we're gravitating towards them as
  294. 9:57opposed to getting caught into the
  295. 9:58closed uh race. The challenge though, I
  296. 10:01think you guys talked about and you I
  297. 10:03saw Chamath's chart, the challenge we
  298. 10:04have is is very hard to find a global
  299. 10:09resilient highly available inference
  300. 10:12provider outside of the hyperscaler
  301. 10:13community right now. So, if I'm a
  302. 10:14startup, great. I can go rent 10 MW in
  303. 10:17one data center in one part of the US
  304. 10:19and if it goes down for a few hours, I'm
  305. 10:22out of luck, but I'm a startup, so I'm
  306. 10:23okay. But I'm providing resilient
  307. 10:26services at 99.9%
  308. 10:29reliability, it's very hard for me to
  309. 10:31find a global inference provider who
  310. 10:34does not want to sell me their model at
  311. 10:35this point in time
  312. 10:37at the price that just makes it
  313. 10:39economically useful to use open source.
  314. 10:41>> Let me ask you a question though. Do you
  315. 10:42think that there's a world where Palo
  316. 10:44Alto Networks says one of two things.
  317. 10:46One is, you go to the hyperscalers and
  318. 10:48say, "Okay, listen guys,
  319. 10:50you run it for me, but I want the bare
  320. 10:51metal, I want it totally air-gapped, and
  321. 10:55it's an AWS facility, but I'll just
  322. 10:56lease it from you. Otherwise, just get
  323. 10:58out of the way so that I can have
  324. 10:59everything inside of it." Or do you do
  325. 11:02what this one big GSIB bank does and
  326. 11:05say, "I'm going to build my own inside
  327. 11:06the United States."
  328. 11:08Is there a world where do you think
  329. 11:09other companies go to that limit or do
  330. 11:12you think that's an extreme case that's
  331. 11:14probably not representative of the norm?
  332. 11:17>> So, this is the interesting debate from
  333. 11:18you know, six, eight years ago when I
  334. 11:19came to Palo Alto, I shut down all data
  335. 11:21centers. I said, "We cannot run a global
  336. 11:23data center sort of footprint at the
  337. 11:25scale, speed, and reliability as I could
  338. 11:27probably rent it from hyperscalers." And
  339. 11:29life was great and And what's happened
  340. 11:30is in the current sort of incarnation of
  341. 11:33where we are, compute is highly dear.
  342. 11:35It's very hard to find compute in the
  343. 11:37world, period.
  344. 11:39So,
  345. 11:40I don't I'm I'm a I'm a buyer. I'm a
  346. 11:42taker of terms, not a dictator of terms.
  347. 11:45It's very hard to go and dictate terms
  348. 11:46anywhere because yeah, sure, you can
  349. 11:48make any plans you want, but those plans
  350. 11:50are you know, you talk to Jensen, he
  351. 11:51can't give you chips till 2028. You talk
  352. 11:53to you know, when you get land power and
  353. 11:55shares and shells. So, it's very hard to
  354. 11:57go say yes, I can go build my own data
  355. 11:59centers, but it's kind of an empty
  356. 12:00threat. It's very hard to go build it. I
  357. 12:03would be resilient. And by the way, I
  358. 12:04don't run 50 data centers around the
  359. 12:06world. We're only running 10 to 20
  360. 12:07megawatts of inference. So,
  361. 12:09it's a it's a good conceptual sort of
  362. 12:12idea that I should go become
  363. 12:13independent, build my own inference, but
  364. 12:15most likely the answer is somewhere in
  365. 12:16the middle. I'm going to have to get
  366. 12:17bare metal, yes. Most likely I'm going
  367. 12:19to get from either a hyper scalar or a
  368. 12:21cousin of a hyper scalar,
  369. 12:23or somebody's going to be stitching, you
  370. 12:25know, sleeves of compute from around the
  371. 12:26world
  372. 12:27to meet my needs in the hope that I'm
  373. 12:29going to migrate to something more
  374. 12:31resilient and more robust over time.
  375. 12:33>> All right. So, Nikash, you have a hybrid
  376. 12:34solution down there. One second. I just
  377. 12:36want to complete that. You have a hybrid
  378. 12:37solution down
  379. 12:38>> stuff before we run out of time, you
  380. 12:39know.
  381. 12:40>> [laughter]
  382. 12:41>> Then you go and you basically get a
  383. 12:43bunch of open source models so that you
  384. 12:44can interrogate chain of thought tokens.
  385. 12:46Is that a representative solution for
  386. 12:48most of the Fortune 500 or Global 2000?
  387. 12:51>> I think we get there. I I expect at some
  388. 12:53point in time we will start seeing hyper
  389. 12:54scalars giving bare metal and letting us
  390. 12:56run open source models. They already do
  391. 12:57to some extent. So, that's probably
  392. 12:59what's going to happen because
  393. 13:00you know, it's a matter of the profit
  394. 13:02pool, right? It all depends on where you
  395. 13:03shift the profit flow. Today they all
  396. 13:04live in Nvidia and and the memory
  397. 13:06industry and they're being shifted
  398. 13:08towards the hyper scalars, people who
  399. 13:09have large compute available because
  400. 13:11it's it it at a point it'll become less
  401. 13:13about the chips, it'll become more about
  402. 13:15the availability of compute because I
  403. 13:16think demand is insatiable. There's
  404. 13:19enough demand, there's more demand than
  405. 13:21you and I can imagine. So, yes,
  406. 13:22>> Right.
  407. 13:22>> I understand the enterprise diffusion
  408. 13:23comment, but it's going to get diffused.
  409. 13:25The question is, even if you try if
  410. 13:27every company in the world today said,
  411. 13:29"I'm in. I'm in. I'm ready. I'm
  412. 13:30embracing AI. Let's go as fast as we
  413. 13:32can." There's not enough computer in the
  414. 13:34world to satisfy us.
  415. 13:35>> Right.
  416. 13:35>> We asked you to come on, Nikesh, not
  417. 13:37just because you're awesome and uh
  418. 13:40>> [laughter]
  419. 13:41>> you were you're now a bit uh
  420. 13:43based
  421. 13:44>> He's a bestie.
  422. 13:44>> He's a bestie. He's a bestie. He was
  423. 13:46very quiet under the radar.
  424. 13:47>> I think I would Nikesh every 48 hours.
  425. 13:50>> I know, David. I keep [laughter] We keep
  426. 13:51running into each other.
  427. 13:52>> I mean, every time there's a Knicks
  428. 13:54Warriors
  429. 13:55>> game, Nikesh invites me to sit with him.
  430. 13:56So, it's awesome.
  431. 13:57>> Um is there one [laughter]
  432. 13:59>> That's not true. I'm just manifesting.
  433. 14:01Um Scott Great States, I can manifest.
  434. 14:03Boy, can I manifest. Kid from Brooklyn's
  435. 14:05manifesting.
  436. 14:05>> As long as you want to go with my
  437. 14:0711-year-old, you're welcome anytime.
  438. 14:08>> Okay. I'm totally fine with that.
  439. 14:10>> He's always looking He's always looking
  440. 14:11for somebody to go with. So, you could
  441. 14:13be next, Jason.
  442. 14:14>> No, I'm I'm happy to babysit if uh with
  443. 14:16the courtside seats for a second row.
  444. 14:18>> He'll He'll babysit you.
  445. 14:19>> Exactly. Uh but there's a cyber panic
  446. 14:21going on. All seriousness, uh the last
  447. 14:23couple of days, AI found two major
  448. 14:25exploits that impact most of the
  449. 14:28internet. Here's what happened. PHP,
  450. 14:31which is an open source coding language
  451. 14:32powers about 70% of all websites, think
  452. 14:34WordPress, Wikipedia,
  453. 14:37is at risk. In August, security
  454. 14:38researchers using AI found two, one,
  455. 14:41two, critical exploits nicknamed PHP two
  456. 14:45shell. PHP security team gave this a
  457. 14:47severity rating of 9.2 out of 10.
  458. 14:50Basically, DEF CON 1 for these security
  459. 14:53teams. Since August, developers and
  460. 14:55companies have been working together on
  461. 14:56fixes. This is standard operating
  462. 14:58procedure. And the plan was to roll
  463. 15:00these out gracefully in one major patch
  464. 15:02on October 22nd, which is the day we're
  465. 15:04recording this very podcast. In the days
  466. 15:06leading up to the release, information
  467. 15:08about the exploits leaked. Nobody knows
  468. 15:10how it leaked. That's going to be part
  469. 15:12of the postmortem of this cyber attack
  470. 15:16week. So, PHP moved the release up just
  471. 15:19by a day to Wednesday, October 21st. and
  472. 15:23on Wednesday all hell broke loose. AWS
  473. 15:26reported a jump in hacking activity
  474. 15:28while Cloudflare CEO, friend of the pod,
  475. 15:30said they saw a millions of hacking
  476. 15:32attempts as well. A bunch of
  477. 15:34precautionary shutdowns happened.
  478. 15:36Governments across sites in Europe,
  479. 15:38France, Germany, Netherlands, Denmark,
  480. 15:40Finland, etc. They started taking
  481. 15:42websites down. Wikipedia took down some
  482. 15:44of its systems just to get them patched.
  483. 15:47In the United States, the NSA and the
  484. 15:49FBI put out a bunch of warnings and now
  485. 15:51everybody started panicking. People are
  486. 15:53starting to think that Bitcoin's going
  487. 15:54to get hacked, their website's going to
  488. 15:56get hacked, their bank accounts are
  489. 15:57going to get hacked. It's a bit of chaos
  490. 15:59and then there's a second sub-issue
  491. 16:01around agents accessing banks that
  492. 16:03dropped at the same time. Now you're in
  493. 16:05the security business, you've got lots
  494. 16:07of different products and services here.
  495. 16:09When did you first learn about this and
  496. 16:11how severe is it? Is this an acute issue
  497. 16:14or is this a harbinger of things to come
  498. 16:17and is this going to happen every 10
  499. 16:18days for the next year as these models
  500. 16:21have gotten incredibly powerful at what
  501. 16:23we call cyber, which really means cyber
  502. 16:26security, not just cyber punk, but cyber
  503. 16:28security.
  504. 16:30>> Both Jason, I think 10 days is too long.
  505. 16:32>> Okay.
  506. 16:33>> these things going to happen much faster
  507. 16:34than every 10 days.
  508. 16:37I think part of the challenge we're
  509. 16:38seeing is as we've been talking about
  510. 16:39technology debt that we've all have to
  511. 16:42go pay sooner than later. And what's
  512. 16:44happened is people have not paid
  513. 16:45attention to the idea that they have to
  514. 16:46go fix their stuff. And that to customer
  515. 16:49once they were about And I talked to the
  516. 16:51CIO this morning, they had a PHP
  517. 16:52problem. They have a bunch of websites.
  518. 16:54Some are running the most advanced
  519. 16:56pieces of software so they can put the
  520. 16:57patch. Some are running older versions
  521. 16:59which they can't patch. They've got to
  522. 17:00bring them down and go build them up.
  523. 17:02But you know what? They never did
  524. 17:04anything about the fact they were
  525. 17:05running older versions because it wasn't
  526. 17:06important. So now they have to go to go
  527. 17:09take those websites down.
  528. 17:10They're going to go
  529. 17:12upgrade them, put the patch in, bring
  530. 17:14them back up. We found out about this a
  531. 17:16few days ago.
  532. 17:18We scanned everything in our
  533. 17:19infrastructure to make sure that there
  534. 17:20were no issues. We made sure that our
  535. 17:22products had patches available for our
  536. 17:24customers who deploy them. So, there's
  537. 17:25two ways to solve this problem, right?
  538. 17:27One, you can go in and patch the
  539. 17:29vulnerability. You can go in, find the
  540. 17:30code, patch what has been given to you
  541. 17:32by PHP, and make it work. The other is
  542. 17:35you can actually put it in a perimeter
  543. 17:37defense product like ours or Cloudflare
  544. 17:39has one or other firewalls have one. You
  545. 17:41put the patch there. It's a virtual
  546. 17:43patch, so any attacker trying to access
  547. 17:45that vulnerability gets stopped at the
  548. 17:46perimeter because we know what they're
  549. 17:47looking for. There's two ways to solve
  550. 17:49this.
  551. 17:49>> to a CDN, content delivery network
  552. 17:51first, and that acts as a first line of
  553. 17:53defense cuz they're not getting to the
  554. 17:54actual servers. But, if they do get to
  555. 17:56the actual servers, my understanding is
  556. 17:58they can run code on these servers, and
  557. 18:01there were some security certificates
  558. 18:03that were incredibly brittle and easy to
  559. 18:07hack.
  560. 18:07>> The closed models have
  561. 18:10basically said, "Hey, these things are
  562. 18:12cyber risks, and so we need to be very
  563. 18:14thoughtful." I know Anthropic did that
  564. 18:16with Mythos, where they brought you in
  565. 18:19and a bunch of other people and like 50
  566. 18:20companies in and said, "Okay, now go
  567. 18:22harden your systems."
  568. 18:24Were the closed models helpful here?
  569. 18:26Were they the ones that helped you find
  570. 18:27these CVEs? Bring us behind the curtain.
  571. 18:30>> The closed models are can be helpful
  572. 18:32because both OpenAI and Anthropic, and
  573. 18:34most likely Google as well, have very
  574. 18:36powerful models now, which can go, if
  575. 18:39you give them enough compute, enough
  576. 18:40persistence, they're going to go find
  577. 18:42vulnerabilities. They're going to even
  578. 18:43chain vulnerabilities to find an attack
  579. 18:45bot, right? If they can solve neighbor's
  580. 18:46stokes, they can chain four
  581. 18:48vulnerabilities. And if you give them
  582. 18:50enough immense compute, they will try
  583. 18:51every way possible to be able to get
  584. 18:53Actually, the PHP problem was solved by
  585. 18:55persistent compute. This problem was
  586. 18:58identified a few years ago, but nobody
  587. 19:00thought it could be solved because it
  588. 19:01required too much of coordination. So,
  589. 19:02what happened was if you throw computer
  590. 19:04at the problem, it persisted and it
  591. 19:06found a way to crack that. Once it found
  592. 19:09a way way crack that and they published
  593. 19:11it or got to reverse engineer it. Every
  594. 19:13hacker knows now how to go after it
  595. 19:14because the challenge you have with
  596. 19:15patches is hackers are smart. They look
  597. 19:17at a patch, they see what the patch is
  598. 19:19trying to do, they reverse engineer from
  599. 19:20there, and say, "Okay, if I follow the
  600. 19:23reverse engineer path, if somebody's not
  601. 19:24patched, I can break in."
  602. 19:26>> It seems like a bunch of the hullabaloo
  603. 19:27today that's being drummed up, and this
  604. 19:29seems like it's going to change every
  605. 19:31day,
  606. 19:32is all about these bank accounts getting
  607. 19:34accessed. Is that Do you think primarily
  608. 19:37through kind of the front end, through a
  609. 19:38website using an agent that's logging in
  610. 19:40on a browser-based system on behalf of
  611. 19:42its user?
  612. 19:43Because it seems like a lot of this may
  613. 19:45be coming from news or some of these
  614. 19:47other sort of like personal agents that
  615. 19:49are logging into your bank account to
  616. 19:51get information about transactions and
  617. 19:53what you're doing.
  618. 19:54And the banks are seeing all this
  619. 19:55activity and they're like, "Oh my gosh,
  620. 19:57is this authorized? Is it not
  621. 19:58authorized?" The traditional way that
  622. 20:00banks have provided access to account
  623. 20:03data has been through APIs using
  624. 20:05verified applications,
  625. 20:07where I as a user, as a consumer, would
  626. 20:09log in to my,
  627. 20:11you know, mint.com account, and it had a
  628. 20:13a legal access point to
  629. 20:16uh to Amex or to Bank of America. It can
  630. 20:18do that.
  631. 20:19>> there.
  632. 20:19>> Yeah. Plaid is an intermediary.
  633. 20:21>> Yes.
  634. 20:22>> And so, there's a bunch of these sort of
  635. 20:23intermediaries that then provide that
  636. 20:25capability to apps. Is that ultimately
  637. 20:28going to lead to a world where the banks
  638. 20:30are all going to just turn off website
  639. 20:31access and say no one can log into a
  640. 20:33website because technically agents could
  641. 20:35do it and they're not able to kind of
  642. 20:37manage that. Um how do you think this is
  643. 20:39going to evolve as it relates to
  644. 20:40consumer financial services? Cuz I
  645. 20:42actually think this is going to be a big
  646. 20:43part of the press cycle over the next
  647. 20:45week or two.
  648. 20:46If you have an answer.
  649. 20:48>> Yeah, I think two different things,
  650. 20:49David. I think the reason banks have
  651. 20:50found
  652. 20:51uh
  653. 20:52that in sort of unauthorized access to
  654. 20:54their accounts is possibly because of
  655. 20:56PHP problem. Because their websites are
  656. 20:59hackable and they've been able to get
  657. 21:00through them and get to credentials. I
  658. 21:02don't think there are two different
  659. 21:04problems. One is unauthorized access
  660. 21:06happening because people have not been
  661. 21:07able these sites have become hackable. I
  662. 21:10think the second problem you're
  663. 21:11mentioning is the personal agent
  664. 21:12problem. So far, most personal agents
  665. 21:15are using your credentials to log in.
  666. 21:17So it becomes hard for a bank to decide
  667. 21:20whether it's actually you logging in or
  668. 21:22is it your Muse agent who has your
  669. 21:25credentials logging on your behalf. They
  670. 21:27cannot distinguish between your traffic
  671. 21:29or agent traffic. They're both logging
  672. 21:30in from the website. They're basically
  673. 21:32logging in as you and your browser and
  674. 21:34trying to conduct a transaction. Now, as
  675. 21:36you know, there's this technological
  676. 21:37capture which tries to see that it's not
  677. 21:39a tech it's not like an agent that's
  678. 21:41sort of or a it's a sort of a bot or an
  679. 21:43agent accessing the account instead of
  680. 21:46you. Naturally, there are ways to you
  681. 21:49know, validate capture with the eye so
  682. 21:50you don't even actually have to have the
  683. 21:52human on the other end. So that's also
  684. 21:53>> good at it.
  685. 21:54>> It's pretty good at it. It's actually
  686. 21:56sometimes I have to squint to see what
  687. 21:57the hell is it I want to type.
  688. 21:58>> Yeah, get click all the bicycles in this
  689. 22:00picture. [laughter] Like it takes you
  690. 22:01three times at our age with our
  691. 22:02eyesight. But the interesting thing here
  692. 22:04is that there is a hybrid as well
  693. 22:06Freeburg, which is your
  694. 22:08um
  695. 22:09your Muse agent, your Grock bot is
  696. 22:12running a virtual browser. It will pop
  697. 22:14up the virtual browser and say, "Hey, do
  698. 22:16this captcha." and then take over. So
  699. 22:18Nikesh, is this fear, uncertainty, and
  700. 22:20doubt, the old FUD by the banks to try
  701. 22:23to neuter or sandbag
  702. 22:26these agents from getting the the front
  703. 22:30door to banking cuz then they could just
  704. 22:31route to a bank that's cheaper, better,
  705. 22:33has better rates on behalf of the agent.
  706. 22:36>> I mean cuz there's I think that would be
  707. 22:38giving them a lot of credit.
  708. 22:40>> Okay.
  709. 22:40>> I think I think I think right now
  710. 22:42they're very diplomatic. The fundamental
  711. 22:44challenge they have is the liability
  712. 22:45problem. Look,
  713. 22:47it's kind of like if you call customer
  714. 22:49support at your favorite bank and say,
  715. 22:51"I don't know how $50,000 vanished from
  716. 22:53my account. I never did this."
  717. 22:54>> Yes.
  718. 22:56>> Right?
  719. 22:56>> What's the Spirit of the Rhino? I don't
  720. 22:58know what this is.
  721. 23:00>> [laughter]
  722. 23:02>> And and the challenge they have is they
  723. 23:03keep
  724. 23:04keep
  725. 23:05>> Keep going, Nikesh. Don't be distracted.
  726. 23:06Don't be distracted.
  727. 23:08>> The challenge is we're number one for a
  728. 23:09reason.
  729. 23:11>> The challenge is you you've given your
  730. 23:13credentials to an agent. You didn't even
  731. 23:15realize that it got your credential.
  732. 23:17It's living on your browser, living on
  733. 23:18your laptop. It's going to get
  734. 23:20innumerable amount of credentials. And I
  735. 23:22think the biggest problem we're going to
  736. 23:23have is who owns the liability and who
  737. 23:26has accountability.
  738. 23:30>> Banks say, "Do not I do not allow you to
  739. 23:32interact with me with your agent,
  740. 23:33period." Right? They're yelling that
  741. 23:35disclaimer from the top of the roof
  742. 23:37saying, "It's not going to be my fault."
  743. 23:38Look, banks had to go Don't forget, it's
  744. 23:41not even the probably the cost. It's
  745. 23:43like the liability secondary. Remember,
  746. 23:45banks We all know this at credit cards
  747. 23:48below a certain amount of money, they
  748. 23:49don't want to dispute it. They pay you
  749. 23:50because the cost of the customer support
  750. 23:52call is higher than than they're going
  751. 23:54to have to deal with. Now, if you start
  752. 23:55having tons and tons of these agents
  753. 23:57doing and you start calling your bank
  754. 23:59for explainability, you're going to
  755. 24:00create huge amount of cost. I think I
  756. 24:02think that's where they're going, to be
  757. 24:03honest.
  758. 24:03>> Okay, you have a unique You have a
  759. 24:05unique seat, Nikesh, because you you
  760. 24:07talk to the people who are
  761. 24:09being hacked, have been hacked, and you
  762. 24:11help them prevent being hacked with with
  763. 24:13this all these suite of services over
  764. 24:14Palo Alto Networks.
  765. 24:16So, I want to take you through a couple
  766. 24:18of the theories people have about AI's
  767. 24:20impact on security. You tell me if you
  768. 24:22agree with them or not. The first one is
  769. 24:25this is going to be largely an issue of
  770. 24:27who has the most compute. And because
  771. 24:30the white hats have access to the most
  772. 24:32amount of compute, they will be able to
  773. 24:34out compute
  774. 24:35compute the uh black hats, in other
  775. 24:38words, the hackers. Is that a true
  776. 24:41statement or is that not yet a true
  777. 24:43statement and maybe it will be in the
  778. 24:44future. In other words,
  779. 24:46Palo Alto Networks or or or OpenAI,
  780. 24:48whoever it happens to be, could fire up
  781. 24:50so much compute to defend systems
  782. 24:53that a bunch of hackers in North Korea,
  783. 24:55Russia, China, etc. just don't have the
  784. 24:56the firepower and they'll be outgunned.
  785. 24:58True, not true, when will it be true?
  786. 25:01>> True, not true today because the
  787. 25:04underlying systems are not are not
  788. 25:06architected or orchestrated in such a
  789. 25:08way that we can launch these, let's call
  790. 25:10it defensive swarms because everything
  791. 25:12is set up in disparate
  792. 25:14situations, right? Like if everything
  793. 25:16was true, then by definition you could
  794. 25:18send out a bunch of
  795. 25:20agents to go patch PHP if you wanted. A
  796. 25:22company's got 5,000 websites and guess
  797. 25:24what? Their priority is going to catalog
  798. 25:26each one of them because they're they're
  799. 25:28actually aggregating everything, putting
  800. 25:29it together, understood their so So, I
  801. 25:31think we need to get our infrastructure
  802. 25:32to base level of preparedness, which is
  803. 25:34the tech the technological debt lives.
  804. 25:37>> Let me take you to the next thesis and
  805. 25:39theory people have here, which is
  806. 25:41persistent computing
  807. 25:44reviewing code and people taking
  808. 25:46proactive measures more seriously is
  809. 25:49going to solve this problem and right
  810. 25:51now we just have this interim period
  811. 25:54where people have accumulated technical
  812. 25:56debt you've talked about, but AI is
  813. 25:58going to solve that problem cuz you'll
  814. 25:59have persistent tools from companies
  815. 26:02like yours and others or in-house ones
  816. 26:04that are constantly banging on systems
  817. 26:07to find these before hackers get to
  818. 26:08them. Is that going to be the end game
  819. 26:10here? True, not true, short-term true,
  820. 26:12long-term true, take us through it.
  821. 26:14>> True. Today, if you can see almost every
  822. 26:16large company in the enterprise space is
  823. 26:19out there busy using Metasploit
  824. 26:20equivalent to try and penetrate their
  825. 26:22own defenses to see where the holes are
  826. 26:24and they're trying to patch them. The
  827. 26:26challenge as you'll appreciate is that
  828. 26:27the next model is going to be more
  829. 26:28powerful. It's going to find more ways
  830. 26:30to get into your infrastructure. So,
  831. 26:31you're going to be playing this cat and
  832. 26:32mouse game and you're constantly
  833. 26:34patching. I think there's a slightly
  834. 26:35different sort of version of this,
  835. 26:37Jason, where for a second let's assume
  836. 26:40that you will get breached. Okay? Cuz
  837. 26:42there are so many vulnerabilities out
  838. 26:43there you can spend a lot of money
  839. 26:44patching everything. The question
  840. 26:45becomes less about how I got breached
  841. 26:48and which vulnerability is going to let
  842. 26:49people through. The question is how
  843. 26:51quickly can I find them and how quickly
  844. 26:53can I eject them?
  845. 26:55>> Mhm. Okay.
  846. 26:56>> our advice to people is
  847. 26:58build the infrastructure in such a way,
  848. 27:00which is possible today, where you're
  849. 27:02aggregating all the signals, all the
  850. 27:04data in such a way that you can actually
  851. 27:06look for anomalous behavior with that
  852. 27:08white hat compute you talked about,
  853. 27:09right? Because I have more compute. Go
  854. 27:10ahead.
  855. 27:11>> Yeah, and then the third one is the
  856. 27:14frontier models are causing a lot of
  857. 27:16this chaos because they
  858. 27:20are gatekeeping the most powerful
  859. 27:22solutions
  860. 27:24to do cyber defense and that the open
  861. 27:28source community is giving more
  862. 27:30functionality to the white hats, to the
  863. 27:32security teams, to the CISOs to actually
  864. 27:34solve this and that the frontier models
  865. 27:37need to change how they deploy this
  866. 27:40technology in some way. Are they causing
  867. 27:42part of this problem by gatekeeping this
  868. 27:43technology and not giving the raw power
  869. 27:47to the white hats?
  870. 27:49>> What you said earlier about is a
  871. 27:50diplomatic answer about giving too much
  872. 27:52credit.
  873. 27:53>> Yes.
  874. 27:53>> I think I think your theory is giving
  875. 27:55too much credit. Again, I think that
  876. 27:57they You remember majority of them are
  877. 27:59researchers to start with. They're
  878. 28:01sitting there and saying, "Wow, this is
  879. 28:02extremely powerful. What do I do with
  880. 28:04it?"
  881. 28:04And they're talking to us and saying,
  882. 28:06"What do I do with it?" Now, remember
  883. 28:07these models that are so far ahead,
  884. 28:09they're still trying to figure out how
  885. 28:10to release them, how to package them,
  886. 28:12how much computer these guys going to
  887. 28:13take. And they're all computer
  888. 28:15constrained, right? So, they're all rate
  889. 28:17limiting all of us, even though I have
  890. 28:18access to the most recent model, which
  891. 28:20is available publicly, I'm still rate
  892. 28:22limited.
  893. 28:23Right? So, there's tons of issues that
  894. 28:25are going on. So, I think they're not
  895. 28:26causing the problem. They're just trying
  896. 28:27to grapple with the fact that these
  897. 28:29things are extremely powerful. What they
  898. 28:31would like they would like to figure out
  899. 28:33how to monetize it.
  900. 28:34>> Mhm. Because they want [clears throat]
  901. 28:35to compete with you?
  902. 28:37>> No, they they just need money to grow.
  903. 28:38They're like they're all listening to
  904. 28:39your conversations about compute needs
  905. 28:41and where the money's going to come
  906. 28:42from. They're like they're not trying to
  907. 28:43compete. They're just trying to go after
  908. 28:44profit pools because they want a lot of
  909. 28:45money cuz they got to go give it back
  910. 28:46to, you know, Jensen.
  911. 28:48>> So, that's their main issue. Yeah.
  912. 28:50>> Let me ask you a a hypothetical
  913. 28:52question. I'll ask all of you.
  914. 28:54I use one of these
  915. 28:57agentic services. I'm a consumer. I give
  916. 28:59it my credentials to my bank account.
  917. 29:01Let's use your example. $50,000 goes
  918. 29:03missing.
  919. 29:05I don't know what happened. Maybe I
  920. 29:07escalate it to the agent I use, you
  921. 29:10know,
  922. 29:11Instinct, Muse, dot
  923. 29:14or I copy of A.
  924. 29:16Everybody's finger pointing at the other
  925. 29:18one. Maybe there is a prompt injection.
  926. 29:21Who knows? Maybe the agent just went
  927. 29:23rogue and transferred the 50K. Let's
  928. 29:25just assume that that's possible. 5K,
  929. 29:26you know, cuz it's under some threshold.
  930. 29:29Who is responsible? Okay, Friedberg, who
  931. 29:31is responsible?
  932. 29:33And who should be responsible? Who is
  933. 29:35responsible? Who should be responsible?
  934. 29:37>> Well, the the terms of service of the
  935. 29:39bank
  936. 29:40say you can't use an agent to access the
  937. 29:43bank account through the website, right?
  938. 29:45>> Does it say that now?
  939. 29:46>> Yes.
  940. 29:47>> Yeah.
  941. 29:48>> So, given that that's the terms of
  942. 29:50service,
  943. 29:51if the agent hasn't built in a capacity
  944. 29:54to recognize that and stop that access,
  945. 29:56then it is a software liability issue
  946. 29:58with the provider of the agent, I
  947. 29:59believe.
  948. 30:01Unless it alerts you and says this
  949. 30:02violates the terms of service, do you
  950. 30:04want to override my block, and do you
  951. 30:07want to do it? Now the liability shifted
  952. 30:09to you as a user.
  953. 30:10>> And we have evidence of this, Chamath.
  954. 30:12Um not in banking, but in e-commerce.
  955. 30:15Amazon has blocked these, and
  956. 30:17subsequently Grok now will tell you in
  957. 30:20my Amazon shopping bot says, "I can no
  958. 30:22longer check out for you, but I can put
  959. 30:24it into your shopping cart. Tell me
  960. 30:27which address, which card you want, and
  961. 30:28I'll tee it all up for you, but I won't
  962. 30:30hit the buy button." So,
  963. 30:33it's being
  964. 30:35adjudicated in real time right now, and
  965. 30:37I think that's probably where we wind
  966. 30:39up.
  967. 30:40>> Nikesh, what do you think?
  968. 30:42>> You are.
  969. 30:43>> Yeah.
  970. 30:44>> I think I think come on, we all have to
  971. 30:45take responsibility to empowering agents
  972. 30:48and giving them our credentials. You
  973. 30:49can't say I gave my credit
  974. 30:51>> It's the only solution.
  975. 30:52>> I gave my credit card to Chamath. He
  976. 30:53went and burnt $20,000 on it. Who's
  977. 30:55responsible? The bank? No way. Is it
  978. 30:57Chamath? Yeah, he is, but I gave it to
  979. 31:00him.
  980. 31:00>> Yeah. But what if the agent Chamath uh
  981. 31:03says, "I have been programmed to be
  982. 31:05maximally helpful." You know, these
  983. 31:07sycophantic agents, and it goes and
  984. 31:09says, "I found a way. You know, I found
  985. 31:11a way. Actually, if I fire up this type
  986. 31:14of browser and I simulate a human
  987. 31:16behavior, I think I can get this done."
  988. 31:18That's what a lot of these agents will
  989. 31:20do is they'll try to please you, and
  990. 31:22they find that then that to me would
  991. 31:23lean towards the platform providing the
  992. 31:25agent No, Jason, Jason, no, that's you.
  993. 31:28It's your responsibility.
  994. 31:30>> Yes.
  995. 31:30There's a word in agent, it's called
  996. 31:33agency. Somebody has to give the agent
  997. 31:36agency.
  998. 31:37>> Okay.
  999. 31:37>> Who's giving the agent agency? You or
  1000. 31:40Facebook? I think you're giving agency
  1001. 31:42to act on your behalf. And if you're the
  1002. 31:44one who's giving agency, you have the
  1003. 31:45liability.
  1004. 31:46>> Yeah, I think as a practical matter,
  1005. 31:48it's the only scalable solution because
  1006. 31:50what will happen when these lawsuits
  1007. 31:52happen is everybody's incentive,
  1008. 31:55everybody meaning the corporate
  1009. 31:56incentive. B of A will point to
  1010. 31:58Facebook, Facebook will point to the
  1011. 31:59user. It's the only way that this thing
  1012. 32:01continues to scale like this.
  1013. 32:02>> but Chamath, there's an exception case.
  1014. 32:05And I think Jason said it in his words,
  1015. 32:07you said it, but we didn't dwell on it.
  1016. 32:08It's called the rogue agent. Now, that's
  1017. 32:11a product liability issue.
  1018. 32:13If a product does not If a product does
  1019. 32:14not behave like it's intended to behave,
  1020. 32:17right, then there is a platform
  1021. 32:19liability. In my mind, it says, "Wait,
  1022. 32:21you said this is what it does." And
  1023. 32:22today, you buy any product in the world,
  1024. 32:24if the product doesn't do what it's
  1025. 32:25supposed as advertised,
  1026. 32:27uh it goes rogue on you, then it's the
  1027. 32:28person who built the product, it's their
  1028. 32:30fault. And this is where the problem is.
  1029. 32:31>> dangerous territory, which is, "Hey, it
  1030. 32:33can do 140 It's capable of doing 140
  1031. 32:36tasks.
  1032. 32:38You know, just maybe not really. Let me
  1033. 32:40ask you a in in the weeds question. We
  1034. 32:42incubated a company Obliteration AI and
  1035. 32:46what this company is doing
  1036. 32:47>> Nice name.
  1037. 32:48>> Yeah, and obliterated models maybe
  1038. 32:50people don't know about but they're
  1039. 32:51going to understand what these are.
  1040. 32:54This company a little bit
  1041. 32:55controversially provides
  1042. 32:58models
  1043. 33:00that have no constraints, no guardrails
  1044. 33:02and it's your responsibility when you
  1045. 33:05have a red team, a team that's going out
  1046. 33:07and banging on different vulnerabilities
  1047. 33:09to build up those. What are your
  1048. 33:11thoughts on this new
  1049. 33:13somewhat controversial Wait, before you
  1050. 33:17go.
  1051. 33:17>> Let me just say I before you go. I find
  1052. 33:19Obliteration unbelievably scary. That is
  1053. 33:21a vector of risk that is so
  1054. 33:25unbelievably underappreciated right now
  1055. 33:27because to your point Jason, it is a
  1056. 33:28very long tail thing. Not enough people
  1057. 33:30understand what it is but I find this
  1058. 33:33probably the thing more than alignment
  1059. 33:36that I think
  1060. 33:37people should really understand and
  1061. 33:38think about. Sorry Nikesh, over to you.
  1062. 33:40>> Yeah, go ahead Nikesh, tell us what you
  1063. 33:41think of these services.
  1064. 33:42>> So, I think this is where this is the
  1065. 33:45dark side of AI. And what I mean by that
  1066. 33:48is, you know, we've had all these
  1067. 33:48debates at the White House, many of you
  1068. 33:50were present. We talked about
  1069. 33:51responsibility and alignment and making
  1070. 33:53sure we tested them before. The problem
  1071. 33:55is
  1072. 33:57you're you're dependent on the weakest
  1073. 33:59link. If this there's a company which is
  1074. 34:01going to give you the raw power of AI
  1075. 34:04without any guardrails, without any
  1076. 34:05controls that are either built in or
  1077. 34:07can't be built in, then you're basically
  1078. 34:09handling a nuclear sort of bomb to the
  1079. 34:11hands of anybody who wants it because
  1080. 34:12they're going to afford it. That's the
  1081. 34:13problem because at one level we're
  1082. 34:15saying we need global treaties to manage
  1083. 34:17the debasing of AI or development of AI
  1084. 34:19and just for good. On the other hand,
  1085. 34:20you're saying we can have a company
  1086. 34:22which can allow you to have this most
  1087. 34:23powerful thing with no control, no
  1088. 34:25guardrails and no governance.
  1089. 34:28It's like saying, "Hey, there's a here's
  1090. 34:30a DIY aspirin kit.
  1091. 34:34Have a good time. You can build your own
  1092. 34:35medication. Have a good time. Sometimes
  1093. 34:37I get it wrong, but don't worry about
  1094. 34:38it.
  1095. 34:39>> Or just giving somebody some really
  1096. 34:41powerful power tools to build things
  1097. 34:44that make things more secure, like build
  1098. 34:46a wall.
  1099. 34:47>> I don't understand what the business
  1100. 34:48model of your company is. Like your your
  1101. 34:50company's like basically like inducing
  1102. 34:52product liability as a service.
  1103. 34:54>> it to white hats under very constrained
  1104. 34:58No, it's providing this to white hats
  1105. 35:00and corporations. They they share the
  1106. 35:02same
  1107. 35:03logo list as the cash and Palo Alto
  1108. 35:05networks. There are people who want
  1109. 35:07access to these in order to do proper
  1110. 35:09testing and make things more rigid. So
  1111. 35:11you do have a higher authority of like
  1112. 35:13not providing this for free like Cloud
  1113. 35:15was doing.
  1114. 35:16>> But Jason, are you telling me that they
  1115. 35:18they they underwrite that these law that
  1116. 35:20when you put these things in
  1117. 35:21infrastructure and do testing, they're
  1118. 35:22not going to go rogue on you?
  1119. 35:24>> Well, it's your responsibility to to
  1120. 35:26manage the model as opposed to giving it
  1121. 35:28to in this Yeah, if you were the NSA or
  1122. 35:31if you were
  1123. 35:32>> How is that How is that How is that
  1124. 35:34different How is that different from me
  1125. 35:36going and taking open rate model and
  1126. 35:37training it to my needs?
  1127. 35:39>> You could do that. This is just a a
  1128. 35:41place that has the infrastructure to do
  1129. 35:42it. So providing that infrastructure you
  1130. 35:44talked about earlier like who's going to
  1131. 35:46serve it and that kind of thing. And and
  1132. 35:47and making, you know, just essentially
  1133. 35:49making it more efficient for you to do
  1134. 35:51this with more constraints.
  1135. 35:53But you know, and letting you take the
  1136. 35:54liability, but it's a very interesting
  1137. 35:56place. Why does technical debt
  1138. 35:58build up in historically have we just
  1139. 36:01under and a lot of these causes of these
  1140. 36:04cyber scares is this just all because
  1141. 36:07corporations
  1142. 36:08deprioritize security and technical debt
  1143. 36:11and that we just need to change that in
  1144. 36:13this new world and that will essentially
  1145. 36:15solve the problem if we prioritize
  1146. 36:16safety first?
  1147. 36:18>> Nobody wants to work on this stuff. I
  1148. 36:19mean, the problem is when you ship
  1149. 36:20something into prod, everybody wants to
  1150. 36:22work on like the next greatest thing.
  1151. 36:24Nobody really thinks about like
  1152. 36:25maintenance as like a sexy idea. That's
  1153. 36:28one thing. Second thing is if you
  1154. 36:30actually deploy it inside of your own
  1155. 36:31virtual private cloud, the problem is
  1156. 36:33the software vendors don't have this one
  1157. 36:35version that's constantly updated. You
  1158. 36:37have a drift problem where you have a
  1159. 36:38version, Nikesh has a version, Free
  1160. 36:40Brick has a version, they're all out of
  1161. 36:42sync. And so now, you know, you as a
  1162. 36:43software vendor are maintaining 19
  1163. 36:45versions because everybody has their own
  1164. 36:47pace and cadence for upgrades and
  1165. 36:49migrations.
  1166. 36:50Then you have the fact that technologies
  1167. 36:52are constantly changing and the
  1168. 36:53underlying way in which things
  1169. 36:55can happen change so rapidly, but the
  1170. 36:58way in which you've done it represents a
  1171. 36:59sunk cost and you can't just rip and
  1172. 37:01replace this stuff.
  1173. 37:02And you multiply that by millions of
  1174. 37:04companies and
  1175. 37:06hundreds of trillions of lines of code
  1176. 37:07and this is why it is like it is.
  1177. 37:09>> And to that also
  1178. 37:10add to that the incentive alignment
  1179. 37:12problem.
  1180. 37:13The CIOs are not incentivized to
  1181. 37:14maintain the most modern infrastructure.
  1182. 37:16They're incentivized to keep costs low
  1183. 37:18and they're incentivized to keep
  1184. 37:19everything available all the time. So,
  1185. 37:21every time you want to upgrade something
  1186. 37:23it introduces risk of blowing up or
  1187. 37:24going down. It's like, I don't want to
  1188. 37:26go I don't want to go change everything
  1189. 37:27all the time because all my users
  1190. 37:29complain because you know what, every
  1191. 37:30time you upgrade something, change
  1192. 37:31something, it causes friction in the
  1193. 37:33system and then it costs money. When was
  1194. 37:34the last time your your CIO showed up
  1195. 37:36and said, "Yeah, great. Have some more
  1196. 37:38money and have a bigger budget because
  1197. 37:39of the new toy."
  1198. 37:40>> this is a real tragedy and and you'll
  1199. 37:43see this with like say the CIA or the
  1200. 37:45FBI.
  1201. 37:46If there's no terrorist attacks, people
  1202. 37:48are like, "We're spending too much
  1203. 37:49money." And it's like, "Or
  1204. 37:51we're spending the right amount of money
  1205. 37:53because we haven't had a 9/11 again."
  1206. 37:55And when they come to us and say, "Hey,
  1207. 37:56we need more because based on what we're
  1208. 37:58seeing,
  1209. 37:59you know, there could be another God
  1210. 38:01forbid 9/11." And
  1211. 38:02then Congress or whoever is, you know,
  1212. 38:04got the power of the purse at the given
  1213. 38:05point in time says, "Yeah, you know,
  1214. 38:07we're not going to give you more money
  1215. 38:07because we haven't had one in 20 years."
  1216. 38:10That that that is really the core of
  1217. 38:11this problem is they only get credit
  1218. 38:13>> to change.
  1219. 38:14Cuz we're going to have a bunch of 9/11s
  1220. 38:16in cyber. Yeah.
  1221. 38:17>> Yes, Scott, the phones keep ringing
  1222. 38:19every day and the conversation always is
  1223. 38:20now, "How do I get out of this?" Because
  1224. 38:22I'm tired of once getting punched in the
  1225. 38:24face every morning when I wake up.
  1226. 38:26>> [laughter]
  1227. 38:27>> When people really appreciate the the
  1228. 38:30the CISO and and and those groups, uh
  1229. 38:32when these things and the systems come
  1230. 38:34back online and the system's been
  1231. 38:35hacked, it's going to be brutal the next
  1232. 38:37uh year or so, yeah? It's going to be a
  1233. 38:39big transition time.
  1234. 38:40>> Nikesh.
  1235. 38:41>> I think I think, you know, the CISOs
  1236. 38:43could become the next CEOs. Think about
  1237. 38:45it. If you believe in three years from
  1238. 38:46now, every business function of yours
  1239. 38:49wants to transform themselves with the
  1240. 38:50AI. Let's go to the positive side,
  1241. 38:52right? And my my CFO never wanted AI.
  1242. 38:54He's saying, "Dude,
  1243. 38:55I could do all this and all financial
  1244. 38:57analysis. You just appoint some people
  1245. 38:59to my team. My marketing people want
  1246. 39:01them. My HR people want them." So,
  1247. 39:02almost every function wants more AI
  1248. 39:04people, which has never happened
  1249. 39:05historically. Everybody's wanted
  1250. 39:07Everybody wants AI people. And that's
  1251. 39:08what's going to happen. Every function
  1252. 39:10is, instead of waiting for AI or
  1253. 39:12technology people, they all want the
  1254. 39:14CISO to come and help them. Then who's
  1255. 39:16the person running the company?
  1256. 39:17>> What percentage do enterprises spend on
  1257. 39:19security of their total spend, and what
  1258. 39:23should it be ideally? I'm just curious.
  1259. 39:24I mean, we have no insight here.
  1260. 39:26>> The insight is that typically, if your
  1261. 39:28IT budget, the cost is somewhere in the
  1262. 39:314 to 10% range for cyber, okay? And 10%
  1263. 39:35is typically where you'll find financial
  1264. 39:36services, the federal government,
  1265. 39:38because they want to make sure things
  1266. 39:39are secure and robust. Uh 4% can either
  1267. 39:42be cloud people, because that's where
  1268. 39:44the hyperscalers would take care of
  1269. 39:46infrastructure security for you. You
  1270. 39:47just have to worry about application and
  1271. 39:48software security. So, it ends up at 4
  1272. 39:50to 5%. That's the range. You can get it
  1273. 39:524 to 5% to 8 to 10%.
  1274. 39:54>> Yeah.
  1275. 39:55And that's going to have [clears throat]
  1276. 39:56to go up. And there's
  1277. 39:58uh there's an
  1278. 39:59an issue, I think, as you're pointing
  1279. 40:01out. If there is AI talent in the
  1280. 40:02building, we got to build new products
  1281. 40:04and services for our customers. Uh YOLO.
  1282. 40:08>> Jason, Jason, there's a whole It's kind
  1283. 40:10of like, you know, I I was joking the
  1284. 40:11other day, but it's it's true. Like,
  1285. 40:12look, there's a whole new category,
  1286. 40:14which we even don't know how to put our
  1287. 40:16arms around, AI. Like nobody knows. Like
  1288. 40:18imagine if I said, "Great. You know
  1289. 40:20what? Go deploy AI in my company and
  1290. 40:22let's make sure AI is secure." Well, the
  1291. 40:24boss says, "Whatever you do, make sure
  1292. 40:26you can interrogate agents through chain
  1293. 40:27of thought."
  1294. 40:28That's easy to say. That's hard to do.
  1295. 40:31How do [clears throat] I find all the
  1296. 40:32agents that are running it? So, it's
  1297. 40:33like we haven't built the AI security
  1298. 40:35harnesses that are needed. I joke like,
  1299. 40:36"You know, when they invented planes,
  1300. 40:38when the Wright brothers were out there,
  1301. 40:39nobody said, 'Let's go create the TSA.
  1302. 40:41This is about time. We got to build
  1303. 40:42security now because it's eventually
  1304. 40:43going to happen.'" So, people are busy
  1305. 40:45enthusiastically deploying AI, embracing
  1306. 40:48AI. You saw I don't know if you saw this
  1307. 40:49morning that, you know, if somebody some
  1308. 40:51researcher found that if you send a news
  1309. 40:53conversation to somebody else, you can
  1310. 40:55extract private information out of it.
  1311. 40:57So, now they got to go back to the
  1312. 40:58drawing board and patch it. So,
  1313. 41:00everybody's experimenting, news is being
  1314. 41:02found out. We need to build all the
  1315. 41:03security harnesses for AI and that's not
  1316. 41:05even started yet.
  1317. 41:06>> Bernie Sanders goes on Twitter today and
  1318. 41:08says, "Look at all the craziness. This
  1319. 41:10is insane.
  1320. 41:11Stop AI now."
  1321. 41:13So, you're in a room with Bernie
  1322. 41:14Sanders. Someone says, "Nikesh, we need
  1323. 41:16you to save America. Go meet Bernie
  1324. 41:18Sanders." [laughter]
  1325. 41:19You get on the plane. You go over there.
  1326. 41:21You get in the room.
  1327. 41:23And the guy And the guy says, "We got to
  1328. 41:24stop AI now. What is your
  1329. 41:27response? How are you going to solve
  1330. 41:28this problem?
  1331. 41:29Nikesh, [laughter]
  1332. 41:30Aurora, how are you going to solve it?"
  1333. 41:33>> I said, "Sounds like a great idea. Let's
  1334. 41:35go. Why don't you start?"
  1335. 41:37I'm right behind you. It's like I got
  1336. 41:39it. And then you know, with all due
  1337. 41:40respect, I
  1338. 41:42it's interesting.
  1339. 41:43This is the first time we have dwelled
  1340. 41:45so much on the dark side of the
  1341. 41:46technology history and I don't know why
  1342. 41:48it is. Maybe you guys can explain to me.
  1343. 41:50We spend so much time obsessing with the
  1344. 41:52dark side of technology and my thesis is
  1345. 41:54it started with the godfathers or
  1346. 41:57whatever you want to call them, the the
  1347. 41:58builders of this technology. They've
  1348. 42:00over-indexed and dwelled harder on the
  1349. 42:03dark side of this, causing this
  1350. 42:04narrative. I think we need a narrative
  1351. 42:05shift. And think about it. Like we we
  1352. 42:07only hear about all the bad stuff that
  1353. 42:10that this technology does. Oh my god, I
  1354. 42:12got missiles. Wait, I got something
  1355. 42:13worse. My guy's jumped over. Wait, mine
  1356. 42:15jumped over 6 months ago. Oh, mine are
  1357. 42:17worse. It's like, dude, this is not a
  1358. 42:19good narrative. This is a race to the
  1359. 42:20bottom from a narrative perspective.
  1360. 42:23>> [laughter]
  1361. 42:23>> Nikesh, why then do you think Bernie
  1362. 42:25Sanders and others are seizing on the
  1363. 42:27moment? I know we've talked about this
  1364. 42:28before, but like what's going on that's
  1365. 42:31motivating Bernie Sanders to be so vocal
  1366. 42:33about stop AI, stop AI? Is it like a
  1367. 42:36power struggle that they view there to
  1368. 42:38be an emerging system of power that they
  1369. 42:43don't control, that they don't have a
  1370. 42:44hold on, that diminishes their power? Or
  1371. 42:47is there something kind of
  1372. 42:49more simple than that?
  1373. 42:51>> David, this is what I phone a friend.
  1374. 42:52You guys are much more competent as
  1375. 42:54answering these questions than I am.
  1376. 42:55Jason and Chamath are probably better
  1377. 42:57better equipped to answer these
  1378. 42:58questions
  1379. 42:59than me.
  1380. 43:00>> Yeah.
  1381. 43:01Yeah.
  1382. 43:02>> Yeah. It's a It's a populist issue. If
  1383. 43:06you if if the people at the labs
  1384. 43:09are going to tell you half of
  1385. 43:11white-collar jobs are going away and all
  1386. 43:13the you know, drivers are going away and
  1387. 43:15it's a 10% of everybody dying. I mean,
  1388. 43:17what a great issue to align yourself
  1389. 43:19with if you're a populist, whether
  1390. 43:21you're America first populist on the
  1391. 43:23right or a liberal on the left. It's
  1392. 43:25just a great way to get people's
  1393. 43:26attention and get votes and you know,
  1394. 43:28maybe it helps you win another election.
  1395. 43:31Nikesh, we appreciate you you're busy
  1396. 43:33and this is like the busiest time you
  1397. 43:34could possibly have, I think, right?
  1398. 43:36What is your day like? Have you slept? I
  1399. 43:38mean, are you just getting woken up by
  1400. 43:40clients at like 1:00 a.m. when they're
  1401. 43:42like, "Hey, I need a I need front
  1402. 43:44forward forward deployed engineers from
  1403. 43:46you?" I mean, what's going on in your
  1404. 43:47life?
  1405. 43:48>> Yeah. I I woke up at 3:00. I flew to the
  1406. 43:50East Coast. After this, I'm going to get
  1407. 43:51back on the plane and come back home
  1408. 43:52because I got to make it time for dinner
  1409. 43:54with customers.
  1410. 43:55>> Crazy. I mean, it is just a crazy time
  1411. 43:57for you, man. You know sleep. I know.
  1412. 43:59Yeah, I love it. Yeah, I mean, this is
  1413. 44:00the time to grind. All right.
  1414. 44:01>> I love that.
  1415. 44:02>> Uh thanks so much for Nikesh for joining
  1416. 44:03us. We got to get you on for a full
  1417. 44:04episode and talk about a range of
  1418. 44:06issues.
  1419. 44:06>> Thanks, Nikesh.
  1420. 44:07>> You're so based. Follow and follow
  1421. 44:08Nikesh on X. He does it daily.
  1422. 44:10[laughter] He does one tweet per day and
  1423. 44:14it's based in Nikesh.
  1424. 44:15>> All right. Thank you, Jason.
  1425. 44:17>> All right. Next up on the docket.
  1426. 44:20Is this the fall of France, gentlemen?
  1427. 44:21We covered this 2 weeks ago. Situation
  1428. 44:23in France is
  1429. 44:25my god. Well, the place is on fire. It's
  1430. 44:26gotten worse. Over a half a million
  1431. 44:28people have taken part in the protests.
  1432. 44:31They've now spread to Italy, Spain,
  1433. 44:33Albania, and a couple of other
  1434. 44:35regions. Over the weekend, France saw
  1435. 44:37its worst riots in decades. And they
  1436. 44:39love to riot. So, that's a high water
  1437. 44:40mark. Numbers pretty striking. New York
  1438. 44:43Times data [laughter] by the French guy.
  1439. 44:45They're good at it.
  1440. 44:46This is their wheelhouse.
  1441. 44:48>> Pro pro-rioters. Pro-rioters.
  1442. 44:50>> They're professional rioters, exactly.
  1443. 44:52It's kind of their number one pastime.
  1444. 44:54For us, it's like football. For them,
  1445. 44:55it's riot. Over 3,000 businesses,
  1446. 44:58Chamath, have been damaged. You've seen
  1447. 45:00the videos, obviously, trending all over
  1448. 45:02the place. Hundreds of millions in
  1449. 45:03losses.
  1450. 45:044,000 police officers injured. 2,500
  1451. 45:08people have now been arrested. 70% of
  1452. 45:09them are adult men. Now, you remember
  1453. 45:11this was a high school protest because
  1454. 45:14high schools
  1455. 45:15were dilapidated and underfunded. And
  1456. 45:18that's what the origin of the protest
  1457. 45:20was. Now, it's just become complete
  1458. 45:21civil unrest
  1459. 45:23and looting.
  1460. 45:24Multiple historic government buildings,
  1461. 45:27tragically, have been burned down.
  1462. 45:28Notably, a 143-year-old
  1463. 45:31city hall
  1464. 45:33in a town 250 miles south of Paris,
  1465. 45:35Limoges. Limoges. Beautiful name.
  1466. 45:38Beautiful building. Absolutely
  1467. 45:40heartbreaking to watch it collapse. For
  1468. 45:42what reason?
  1469. 45:44So, they could upgrade the schools in
  1470. 45:46France. Seems like there's a lot more
  1471. 45:48going on here. France has finally
  1472. 45:50implemented some curfew some curfews.
  1473. 45:54Which I don't know how you don't do that
  1474. 45:55day one. New York Times quote, "France
  1475. 45:57France's government has accused
  1476. 45:59ultra-left militants and opportunist
  1477. 46:02looters of causing the violence.
  1478. 46:04President Trump and Vice President Vance
  1479. 46:06have called this a third world
  1480. 46:08immigration and welfare state issue.
  1481. 46:11Here's what France's Justice Minister
  1482. 46:13said. Rioters include, quote, "People
  1483. 46:15from immigrant backgrounds, people who
  1484. 46:17are foreigners, but there are also
  1485. 46:19people who are fully integrated and who
  1486. 46:21are French." Our partner, Polymarket,
  1487. 46:23says 18% chance France declares a state
  1488. 46:26of emergency by the end of the year.
  1489. 46:29Same time,
  1490. 46:30investors are dumping French debt.
  1491. 46:33Friedberg, France's 10-year has
  1492. 46:35surpassed 5% this week, highest since
  1493. 46:382002. On the other hand, and uh this is
  1494. 46:41an ongoing issue here in the United
  1495. 46:43States,
  1496. 46:4410-year dropped just under 5% for the
  1497. 46:47first time
  1498. 46:49in a month.
  1499. 46:50Wall Street Journal says this might be
  1500. 46:51because people are fleeing EU debt and
  1501. 46:53buying the US debt. Polymarket, our
  1502. 46:56long-term partner here at All-In, says
  1503. 46:5891% chance Moody's or S&P downgrades
  1504. 47:01France by October 31st. So, let's stop
  1505. 47:04there.
  1506. 47:05Chamath, when you see this and you spend
  1507. 47:07your time in Italy in the summers,
  1508. 47:09obviously, we talk about that here on
  1509. 47:11the pod.
  1510. 47:12Uh you see it happening in Italy.
  1511. 47:14Uh and what's your what's your takeaway
  1512. 47:15here from what we're seeing?
  1513. 47:17>> It's heartbreaking
  1514. 47:19to see what happens. Let's just be very
  1515. 47:20clear. I think that these people are
  1516. 47:22absolute criminals. They're all
  1517. 47:23terrorists and they should all be
  1518. 47:26arrested. And I think that this shows
  1519. 47:29sort of like what is at the end of this
  1520. 47:32quote-unquote empathy that all of these
  1521. 47:34governments have been espousing.
  1522. 47:37It's just a disguised way of promoting
  1523. 47:41urban chaos.
  1524. 47:43And uh
  1525. 47:45I don't know how a police officer thinks
  1526. 47:47it makes any sense
  1527. 47:49for him to be deployed into this melee
  1528. 47:52to do what effectively like protect a
  1529. 47:55Christian Dior store in the 7th
  1530. 47:57arrondissement of Paris. Like it is so
  1531. 48:00stupid. So, these folks have created the
  1532. 48:03tinderbox and the conditions for this to
  1533. 48:05happen.
  1534. 48:06And they've done it because they won't
  1535. 48:08even acknowledge what this is. Even when
  1536. 48:10Macron went on state television,
  1537. 48:13he tried to
  1538. 48:15talk about this in terms of
  1539. 48:17the suffering that these people must
  1540. 48:19have. When you look at these pictures,
  1541. 48:21these are not people that are suffering.
  1542. 48:22These are people that are uh enacting
  1543. 48:25chaos and violence and terrorism,
  1544. 48:27domestic terrorism. And I think you need
  1545. 48:29to respond to these people with an
  1546. 48:31incredibly heavy hand.
  1547. 48:33And then you need to fix the much
  1548. 48:35broader problem.
  1549. 48:37And as you said, Jason,
  1550. 48:39I think what's happening now is that
  1551. 48:40France is going to be in an incredibly
  1552. 48:42difficult economic position. We've
  1553. 48:43already talked about this before that
  1554. 48:45the that France is is critical country
  1555. 48:47that's going to set the tone for the
  1556. 48:48rest of continental Europe
  1557. 48:50in terms of how it finances its
  1558. 48:52long-term debts. It's already proposed
  1559. 48:5350 billion euros of austerity.
  1560. 48:56That's going to have to go up. I don't
  1561. 48:58understand how in an austerity scheme
  1562. 49:00you actually invest in things like
  1563. 49:02education in a way that would appease
  1564. 49:04these people if that were the true thing
  1565. 49:06that they were
  1566. 49:07rioting and protesting about. The
  1567. 49:09government is in a no-win situation. I
  1568. 49:12think they are going to lose the
  1569. 49:15upcoming presidential elections. And I
  1570. 49:17think you're going to see a very
  1571. 49:20complicated reset of the French
  1572. 49:23bureaucracy and the French economy. And
  1573. 49:25I think this is the this is the
  1574. 49:27harbinger of of a lot of change to come
  1575. 49:29because the average French citizen
  1576. 49:31should not tolerate what's happening in
  1577. 49:33their country right now.
  1578. 49:33>> Friedberg,
  1579. 49:35what's your take here when
  1580. 49:37there might have been completely valid
  1581. 49:40peaceful protests.
  1582. 49:41High school students protesting is a
  1583. 49:43beautiful thing.
  1584. 49:44They they they have some
  1585. 49:46gripe. They created a lot of the
  1586. 49:48democratic system that we actually built
  1587. 49:50America off of. They they were great
  1588. 49:52pioneers in democracy and protest.
  1589. 49:54Completely valid form of protest,
  1590. 49:55peaceful, taking to the streets, and
  1591. 49:58then it tips over into something that's
  1592. 49:59obviously at a minimum just incredible
  1593. 50:03criminal uh and
  1594. 50:05potentially, you know, in Shamas'
  1595. 50:07interpretation, you know, terroristic.
  1596. 50:10And the definition of terrorism, to
  1597. 50:12terrorize people for your political
  1598. 50:14goals, yeah, seems like it fits the
  1599. 50:16definition. So,
  1600. 50:17for you,
  1601. 50:18what do you think this represents? Is
  1602. 50:20this a harbinger of more to come and
  1603. 50:23something we might
  1604. 50:25see flare up here in the United States
  1605. 50:27again? Remember, we had uh the BLM
  1606. 50:29riots, we had the January 6th riots.
  1607. 50:31We've had our own uh series of riots
  1608. 50:33here, and they had a very similar
  1609. 50:35pattern, you know, people who felt
  1610. 50:37politically like maybe or socially they
  1611. 50:40weren't being represented properly, and
  1612. 50:43then in some cases it tips over to just
  1613. 50:45criminal looting and incredible
  1614. 50:47violence. What's your take here,
  1615. 50:48Freeberg?
  1616. 50:50>> I think it's a little conflating to add
  1617. 50:52some of that other stuff to the mix
  1618. 50:54here.
  1619. 50:55>> How so?
  1620. 50:56>> I think those have very kind of acute
  1621. 50:59political or social political events
  1622. 51:01tied to them. This one seems to be kind
  1623. 51:04of much more broad-based. So, if you
  1624. 51:06watch
  1625. 51:07some of the interviews that were done on
  1626. 51:09the street,
  1627. 51:10there's a very wide range of kind of
  1628. 51:13complaints if you listen to the folks
  1629. 51:15that are rioting. Everything from
  1630. 51:18schools to free Palestine, to the
  1631. 51:20government's not doing enough for us
  1632. 51:22with healthcare, with support, with
  1633. 51:24jobs, we're underemployed.
  1634. 51:26There's just so much discontent with the
  1635. 51:29objective being to get the government to
  1636. 51:31do more for the people. There's a lot of
  1637. 51:34immigration that happened, and so all
  1638. 51:36these immigrants that come in, they
  1639. 51:37expect the government to provide to
  1640. 51:38them. The The promise was that the
  1641. 51:40government would provide to them. And
  1642. 51:42over time,
  1643. 51:43the government providing things to the
  1644. 51:45people, as we've talked about countless
  1645. 51:47times, is never ever ever ever ever a
  1646. 51:51sustainable answer.
  1647. 51:53Decentralized government doesn't have
  1648. 51:55accountability.
  1649. 51:57There is no progress. There is no
  1650. 51:59possibility for economic growth. There
  1651. 52:01is no possibility for creating the right
  1652. 52:04incentive structure. So, the more the
  1653. 52:06government tries to provide to the
  1654. 52:07people, the more the people are let
  1655. 52:10down. We've seen this in the United
  1656. 52:11States, I would argue, with the three
  1657. 52:13things that the government is trying to
  1658. 52:14provide here, which is healthcare,
  1659. 52:16housing, and education. And the more the
  1660. 52:19government spends to try and provide
  1661. 52:21more of those things, the worse those
  1662. 52:22things get and the more unattainable
  1663. 52:25they become. And the same has happened
  1664. 52:27in France. So, take a look at this
  1665. 52:29chart. This chart is a measure of public
  1666. 52:32spending as a percent of GDP. RAND Group
  1667. 52:34Research published it. And you can see
  1668. 52:37the comparison of France's public
  1669. 52:39spending as a percent of GDP
  1670. 52:42to the peak public spending as a percent
  1671. 52:44of GDP of major communist nations.
  1672. 52:47Soviet Union during 1989.
  1673. 52:49>> chart for you to look
  1674. 52:50>> Communist Romania, Venezuela under
  1675. 52:52Chavez,
  1676. 52:53and then communist China.
  1677. 52:55>> That's unbelievable. So, do you think
  1678. 52:57France is a communist state?
  1679. 52:59>> Well, this is This is like it.
  1680. 53:01>> Well, it's certainly been a socialist
  1681. 53:02state, right? Is it working?
  1682. 53:04>> No, well, that's [laughter] that's my
  1683. 53:05point. And I think this is such a a
  1684. 53:07present lesson for the West to look at.
  1685. 53:10We all think that there's some political
  1686. 53:11problem with Macron or whoever it was.
  1687. 53:14The more the government spends, the
  1688. 53:16worse the conditions get for its people,
  1689. 53:19not the opposite. And then the people
  1690. 53:21riot and revolt and say that the
  1691. 53:22government's not spending enough and the
  1692. 53:24government needs to be doing more. Now,
  1693. 53:26take a guess. Pull that chart back up.
  1694. 53:28Take a guess where the US is today.
  1695. 53:29>> What percentage of our GDP?
  1696. 53:31>> 20 20%
  1697. 53:33>> Yeah, I was going to I was going to say
  1698. 53:3425.
  1699. 53:35>> Yeah.
  1700. 53:36>> Federal government spending is 7.4
  1701. 53:38trillion. State and local government
  1702. 53:40spending is 4.6. You add those two
  1703. 53:42together, it's $12 trillion
  1704. 53:44out of a $33 trillion GDP. US public
  1705. 53:48spending is roughly 36% of GDP.
  1706. 53:50>> Okay, we're right there.
  1707. 53:52>> France today is um the same as the US.
  1708. 53:55It's about 120% debt to GDP. France
  1709. 53:59today is operating its national
  1710. 54:00government spending deficit is 5.4% of
  1711. 54:03GDP. The US is actually 6.2%
  1712. 54:06of GDP. France is
  1713. 54:09I think it's probably the first to go
  1714. 54:11because they're only growing their
  1715. 54:12economy at half a percent while the US
  1716. 54:14is growing, you know, at 2.3%. So, we're
  1717. 54:17still kind of hanging on because we have
  1718. 54:19some degree of economic growth that's
  1719. 54:21allowing us to kind of hold things
  1720. 54:22together. But, I would argue that we are
  1721. 54:25facing the same sort of fiscal cliff
  1722. 54:27which leads to this extraordinary social
  1723. 54:29unrest as France.
  1724. 54:30All the economic measures are aligned or
  1725. 54:33at the same rate, we're at the same set
  1726. 54:35of problems, and we're starting to see
  1727. 54:38the cracks in the system. I think that
  1728. 54:40France is a bellwether for the West. You
  1729. 54:42can load in all the immigration stuff
  1730. 54:44with it because I do think that that's a
  1731. 54:45big part of it where you open the border
  1732. 54:47to let people in to try and grow the
  1733. 54:49economy, you promise them things, they
  1734. 54:51actually add fuel to the fire, things
  1735. 54:53get worse, and it becomes a real
  1736. 54:55problem. Fundamentally, socialism
  1737. 54:57destroys progress. It limits everyone's
  1738. 55:01upside by giving everyone a floor. And
  1739. 55:03the limiting of the upside is what leads
  1740. 55:05to these sorts of problems where no one
  1741. 55:06feels like they can progress. And as
  1742. 55:08soon as the quality collapse says
  1743. 55:10because you've taken out all the
  1744. 55:11incentives in the system, everyone
  1745. 55:13starts to feel incredible discontent.
  1746. 55:15France, I think, is one of the first to
  1747. 55:17go, but if we don't right the ship in
  1748. 55:19all these other countries in the West, I
  1749. 55:22think we might find ourselves falling
  1750. 55:23down um the same hole. And I'm very
  1751. 55:26concerned about that. I think we need to
  1752. 55:27observe this for what it is and be
  1753. 55:30really thoughtful about it with our
  1754. 55:31politics becoming, unfortunately,
  1755. 55:34a little more disturbed uh going into
  1756. 55:36this midterm and over the next two
  1757. 55:37years, I worry quite a bit.
  1758. 55:39>> What do you specifically think should be
  1759. 55:41done?
  1760. 55:41>> Cut spending, cut deficit to GDP, cut
  1761. 55:44programs
  1762. 55:45>> Okay, but hold on. Let me Let me just
  1763. 55:46push back. Yeah. Let me just push back
  1764. 55:48for 1 second. So,
  1765. 55:50you know,
  1766. 55:51what do we think is at the root cause of
  1767. 55:52this? Let's just focus on the young
  1768. 55:54people. Like the young people, they're
  1769. 55:56not optimistic about the future.
  1770. 55:58>> Yep.
  1771. 55:59>> Right? They have
  1772. 56:01a lot of difficulties
  1773. 56:03financially, career-oriented, as well as
  1774. 56:06social. I mean, like I think their
  1775. 56:07social progression has been stalled
  1776. 56:09relative to other generations.
  1777. 56:12You have these things that are like
  1778. 56:15these swords of Damocles hanging over
  1779. 56:17them, like pensions. I'm sure that they
  1780. 56:19don't understand it completely, but you
  1781. 56:21know, if they took a second to realize
  1782. 56:23that at some point these pension things
  1783. 56:24come due for their parents and their
  1784. 56:27grandparents,
  1785. 56:28that's going to be on them. So, how do
  1786. 56:31we set it right for them? What do we do?
  1787. 56:34>> I think four things are the primary
  1788. 56:36cause of this that could be directly
  1789. 56:38addressed. It's
  1790. 56:40education, housing, healthcare, and then
  1791. 56:42the retirement system.
  1792. 56:44Every one of them, there's probably a
  1793. 56:46multi-year solution. Education, I think
  1794. 56:48we need to wind down the federal student
  1795. 56:49loan program. I've said this many times,
  1796. 56:52and I think in the process we've got to
  1797. 56:53eliminate a lot of the student debt
  1798. 56:55that's outstanding. I think it's a
  1799. 56:56necessity.
  1800. 56:57>> So, cancel the underwriting at the
  1801. 56:58federal level, but also cancel the
  1802. 57:00existing debt of the folks that have it.
  1803. 57:02>> There's a complicated mechanism that I
  1804. 57:03think's needed for the deletion of
  1805. 57:05student debt, perhaps in bankruptcy or
  1806. 57:07something like that, to go back on that
  1807. 57:08that law that that made it impossible.
  1808. 57:11>> I just on this one just to add to this,
  1809. 57:13I'm extremely sympathetic to canceling
  1810. 57:15student debt. I don't think it should be
  1811. 57:16I think it should have always been
  1812. 57:17dischargeable through bankruptcy,
  1813. 57:20but I I'm quite I'm quite supportive of
  1814. 57:22this idea.
  1815. 57:22>> has it has to happen with deleting the
  1816. 57:24federal student loan program. What will
  1817. 57:25happen then is you'll right-size all the
  1818. 57:27institutions and their tuition costs,
  1819. 57:28because then all the institutions will
  1820. 57:29start to fit to the market. It'll take
  1821. 57:31about 10 years. It won't happen
  1822. 57:33overnight. So, we have to have a firm
  1823. 57:35commitment to seeing it happen over the
  1824. 57:36next decade. In housing, we've got to do
  1825. 57:38something similar with housing loans
  1826. 57:40that keep inflating the cost of homes
  1827. 57:41and deal with the fact that a good chunk
  1828. 57:43of the middle class
  1829. 57:44>> but go go through your list. Go through
  1830. 57:46your list cuz I have a I have I have one
  1831. 57:48critical question at the end of your
  1832. 57:50list cuz your list makes sense on the
  1833. 57:51surface.
  1834. 57:52>> Then I think that we need to make
  1835. 57:53defined benefit retirement programs,
  1836. 57:56including the Social Security Trust
  1837. 57:58Fund, illegal. I think all defined
  1838. 58:01benefit programs need to be transitioned
  1839. 58:03to defined contribution programs over,
  1840. 58:05call it a decade period. In the process,
  1841. 58:07everyone gets, like whatever you're owed
  1842. 58:09in Social Security gets deposited in
  1843. 58:12effectively an IRA or a Trump account or
  1844. 58:14whatever they're called for you today.
  1845. 58:15And all of Social Security is deleted,
  1846. 58:17and now everyone owns equity.
  1847. 58:19>> Superannuation funds, like we talked
  1848. 58:21about in Australia. We just transfer to
  1849. 58:23that. What would the pushback on that
  1850. 58:24be, Freeberg?
  1851. 58:25>> Because people lose a guaranteed income.
  1852. 58:27But rather than do it one time, what you
  1853. 58:28would do is you would transition 10% of
  1854. 58:30all your Social Security amount owed to
  1855. 58:32you per year for the next 10 years. So,
  1856. 58:34you do a 10-year transition where
  1857. 58:35everyone gets their money.
  1858. 58:37>> out the buying into the market.
  1859. 58:39>> Yeah, great.
  1860. 58:39>> Yeah, and then people can choose a 40/60
  1861. 58:41plan or an 80% bonds plan or whatever
  1862. 58:43plan they want depending on their age.
  1863. 58:45>> Do health care and kind of do that.
  1864. 58:47>> Health care is the hardest, but I think
  1865. 58:48housing health care is way more
  1866. 58:50complicated, but I think it's
  1867. 58:51fundamentally got to get pushed to
  1868. 58:52corporations that employ people where
  1869. 58:54they've got to go into a market for
  1870. 58:56insurance, and that forces the market
  1871. 58:57for insurance to force prices and
  1872. 58:59services down. But there's two things
  1873. 59:01that get in the way.
  1874. 59:01>> housing
  1875. 59:02>> Wait, and yeah, so So, HIPAA and housing
  1876. 59:05regulations are the two things that get
  1877. 59:06in the way of price coming down in
  1878. 59:07health care and housing.
  1879. 59:10So, you got to address those, which are
  1880. 59:11much more complicated because in the
  1881. 59:12case of housing, it's it's state and
  1882. 59:14local.
  1883. 59:15>> So, let me just ask a question.
  1884. 59:17So, when you look at France and Italy
  1885. 59:18and you look at these riots,
  1886. 59:20I think it's important to observe that
  1887. 59:22they have, theoretically,
  1888. 59:24two of the four roughly solved, which is
  1889. 59:26they give you free education and free
  1890. 59:28health care.
  1891. 59:29>> Okay? Do you know how cheap it is to go
  1892. 59:31to college, Chamath, in in France?
  1893. 59:35>> I don't. I don't.
  1894. 59:35>> 300 euros a year and costs the state
  1895. 59:37like 12,000. So, they are in college and
  1896. 59:40graduate school. When I was in Paris
  1897. 59:42this summer, I had somebody explaining
  1898. 59:43to me the resentment here. They consider
  1899. 59:45it like
  1900. 59:47I'm trying to think of the equivalent we
  1901. 59:49might consider here in terms of
  1902. 59:50entitlements. They believe they should
  1903. 59:51be able to go to college and graduate
  1904. 59:53school forever.
  1905. 59:54>> I'm asking you, Jason, I'm asking I'm
  1906. 59:56asking both of you is
  1907. 59:58you bring up these four
  1908. 1:00:00issues. One is a vagary of the United
  1909. 1:00:02States, meaning the student debt issue
  1910. 1:00:04is purely an anomalous thing that exists
  1911. 1:00:07in the US that does not exist in some of
  1912. 1:00:09those Western countries where we're
  1913. 1:00:10seeing riots.
  1914. 1:00:12The second thing that we brought up,
  1915. 1:00:13which is health care, is roughly free
  1916. 1:00:15over there. The third thing we brought
  1917. 1:00:16up, which is education, is roughly free
  1918. 1:00:18over there. The fourth thing we brought
  1919. 1:00:20up, which is, you know, defined benefit
  1920. 1:00:22versus defined contribution,
  1921. 1:00:24again, the the system there is a problem
  1922. 1:00:26because it's the same system that we
  1923. 1:00:28have effectively and you have these
  1924. 1:00:29pension overhangs. But, I guess what I'm
  1925. 1:00:30saying is
  1926. 1:00:32there
  1927. 1:00:33two of the four are roughly solved. One
  1928. 1:00:35of the four doesn't exist. And yet,
  1929. 1:00:37they're still rioting. So, it's not
  1930. 1:00:39solved.
  1931. 1:00:40>> No, no, no. I can I can actually Hold
  1932. 1:00:41on. I can answer this, I think. You
  1933. 1:00:43know, the
  1934. 1:00:44the original riots, when it was
  1935. 1:00:45students, were
  1936. 1:00:47banal, you know, maybe throwing a couple
  1937. 1:00:50of bottles here kind of riots. The
  1938. 1:00:52students weren't looting. The looting
  1939. 1:00:54occurred by
  1940. 1:00:56uh illegal immigrants uh from Northern
  1941. 1:00:59Africa and uh a lot of resentment from
  1942. 1:01:02Islamic Muslim immigrants in France who
  1943. 1:01:05have not been allowed to integrate into
  1944. 1:01:07society and in some cases are second and
  1945. 1:01:09third generation Parisians who have
  1946. 1:01:11either not integrated into society or
  1947. 1:01:14part of this is also on the native
  1948. 1:01:16French who have not integrated into
  1949. 1:01:18society. If those people weren't there,
  1950. 1:01:20Chamath,
  1951. 1:01:21they weren't there, we wouldn't be
  1952. 1:01:22having this conversation. We would just
  1953. 1:01:23be talking about run-of-the-mill
  1954. 1:01:26uh you know, people who just want a
  1955. 1:01:27slightly better classroom, slightly
  1956. 1:01:29better teacher ratio to students. This
  1957. 1:01:32is because of the uh unmitigated
  1958. 1:01:34disaster of immigration to Italy, to
  1959. 1:01:38Spain, and to France. And people have a
  1960. 1:01:40hard time just saying it like it is, but
  1961. 1:01:43that's what it is. And that's why, you
  1962. 1:01:45know, here I think we stopped it by
  1963. 1:01:47closing the southern border.
  1964. 1:01:49Uh and there they have a different type
  1965. 1:01:51of immigration. It's it's people who
  1966. 1:01:53don't want to integrate. If you take the
  1967. 1:01:54average Mexican who comes to America,
  1968. 1:01:56they're more than happy to learn
  1969. 1:01:57English, they're more than happy to
  1970. 1:01:58integrate into American society and our
  1971. 1:02:01customs. It is not the same in the UK,
  1972. 1:02:04Italy, and obviously France, as we've
  1973. 1:02:06seen.
  1974. 1:02:07It's an immigration issue.
  1975. 1:02:08>> But Chamath, I don't I don't know if
  1976. 1:02:10it's actually solved, because I think
  1977. 1:02:11the time to get a doctor's appointment
  1978. 1:02:13is weeks, the quality of the education
  1979. 1:02:15is poor, you're you're sitting in a
  1980. 1:02:17classroom with 60 kids. That's what the
  1981. 1:02:19kids are complaining about. There's
  1982. 1:02:21obviously a lot of other
  1983. 1:02:22kind of motivations in those riots that
  1984. 1:02:24are happening, but there's a fundamental
  1985. 1:02:26feeling of oppression that I think
  1986. 1:02:29weighs heavily on this entire
  1987. 1:02:31population. And the oppression is
  1988. 1:02:33there's a higher caste that is doing
  1989. 1:02:35better than we are, and it is not fair
  1990. 1:02:37because we were promised that we would
  1991. 1:02:39do well. Pull up this video, Nick, that
  1992. 1:02:41I sent. I think this is a view of some
  1993. 1:02:43of the anger.
  1994. 1:02:45Watch this.
  1995. 1:02:46>> The Chinese have become too rich in
  1996. 1:02:47France.
  1997. 1:02:52>> Too rich?
  1998. 1:02:55And that's not fair?
  1999. 1:02:57>> Well, I think it's not fair.
  2000. 1:02:58They're now in the category of people
  2001. 1:03:00with nice clothes and big cars.
  2002. 1:03:02>> So, this was a response interview to why
  2003. 1:03:05the rioters were going after
  2004. 1:03:07Chinese-owned stores and destroying them
  2005. 1:03:09in Paris. So, they're specifically
  2006. 1:03:11targeting Chinese-owned stores, breaking
  2007. 1:03:13the stores, burning them down, because
  2008. 1:03:15they think that these immigrants have
  2009. 1:03:16become too successful in France and they
  2010. 1:03:19don't deserve that success. And I think
  2011. 1:03:22that that is what this weight of
  2012. 1:03:24socialism, this weight of a giant
  2013. 1:03:25government
  2014. 1:03:27does to everyone, which is if anyone is
  2015. 1:03:28seen to be ahead of the suffering that
  2016. 1:03:31we are all dealing with, they must be
  2017. 1:03:33the problem. They are bad. They are the
  2018. 1:03:35issue. And I think that there's this
  2019. 1:03:37kind of fundamental rooting on the free
  2020. 1:03:39Palestine movement,
  2021. 1:03:41on, you know, the the patriarchy. It's
  2022. 1:03:44all rooted in the same sort of
  2023. 1:03:45principle, which is they don't realize
  2024. 1:03:47that the reason that they're feeling
  2025. 1:03:48this way is because the government is
  2026. 1:03:50already trying to do too much and
  2027. 1:03:52they're not able to do it well because
  2028. 1:03:53the government is the worst place to
  2029. 1:03:56provide services to the population.
  2030. 1:03:58>> Well, and in fact
  2031. 1:03:59>> see they see any degree of success and
  2032. 1:04:01it's sort of like what we're seeing with
  2033. 1:04:02the populist movement in the US, hating
  2034. 1:04:04tech, hating billionaires, and you know,
  2035. 1:04:06it's it's very common across the West
  2036. 1:04:08and it's going to continue to grow,
  2037. 1:04:10unfortunately.
  2038. 1:04:11>> Well, and reports where they were
  2039. 1:04:12specifically targeting Chinese and
  2040. 1:04:14Jewish businesses and specifically
  2041. 1:04:16avoiding, this is when it moved into the
  2042. 1:04:17full-scale riots and terrorism. And
  2043. 1:04:19avoiding Muslim businesses.
  2044. 1:04:21>> That's right.
  2045. 1:04:21>> And I I you know, I
  2046. 1:04:23I I got to say like thank God for the
  2047. 1:04:24second amendment. I don't think we would
  2048. 1:04:26have these type of riots here on a
  2049. 1:04:28sustained basis. If you remember the LA
  2050. 1:04:30riots and there was a there's a term
  2051. 1:04:32called rooftop Koreans. And if you
  2052. 1:04:35remember, the Koreans just literally
  2053. 1:04:37went on top of their businesses and
  2054. 1:04:38defended in
  2055. 1:04:40uh K-Town in in in LA, they defended
  2056. 1:04:42their businesses. And when you see these
  2057. 1:04:43poor business owners not being able to
  2058. 1:04:45defend their businesses and they're
  2059. 1:04:46beaten
  2060. 1:04:47>> Yeah.
  2061. 1:04:48>> and you just think, my God, that poor
  2062. 1:04:50small business owner, they put their
  2063. 1:04:51entire lives into this business. You
  2064. 1:04:53know it's not easy to run a small
  2065. 1:04:54business. And then they're being beaten
  2066. 1:04:55and watching their lives work burn down,
  2067. 1:04:58that's unacceptable. I I honestly think
  2068. 1:05:00you got to rethink the first the the
  2069. 1:05:03second amendment as well. And I know
  2070. 1:05:05I'll get massive blowback, but
  2071. 1:05:07you don't you don't see this in Texas
  2072. 1:05:08and LA.
  2073. 1:05:09>> Let Let give you how I try to think
  2074. 1:05:11about what the end game of this looks
  2075. 1:05:13like.
  2076. 1:05:14>> Yeah. I mean, basically what you guys
  2077. 1:05:15are saying is independent of who is in
  2078. 1:05:17charge, it could be left, it could be
  2079. 1:05:19right, and independent of what the facts
  2080. 1:05:21are, you basically showed a chart here
  2081. 1:05:22that shows that France spends more than
  2082. 1:05:24every other communist government in the
  2083. 1:05:27history of the world.
  2084. 1:05:30These things are a disaster.
  2085. 1:05:31And there's part of it here where people
  2086. 1:05:34probably think that this isn't true, and
  2087. 1:05:37they want to see even more state
  2088. 1:05:38intervention to make things better. They
  2089. 1:05:40themselves know that they can't solve
  2090. 1:05:41the problem, and so the only person to
  2091. 1:05:43turn to is the government. Because it's
  2092. 1:05:45not like you're going to turn to the
  2093. 1:05:46person on your left or your right.
  2094. 1:05:47>> That's right.
  2095. 1:05:48>> Okay. So
  2096. 1:05:50>> you go to the government, but at some
  2097. 1:05:51point they're going to realize that
  2098. 1:05:53chart is true. And they're going to see
  2099. 1:05:54that enough times on their television or
  2100. 1:05:57on Tik Tok and X and Facebook and
  2101. 1:05:59Instagram, where they're going to be
  2102. 1:06:01like, wait a minute, I had no idea we're
  2103. 1:06:02spending twice as much as communist
  2104. 1:06:04China. I thought the whole point was
  2105. 1:06:06that we should be spending more like
  2106. 1:06:07communist China or like communist Russia
  2107. 1:06:09because this socialism thing, you know,
  2108. 1:06:12is the better version of communism. It's
  2109. 1:06:14not going to work.
  2110. 1:06:15So then who can really fix this?
  2111. 1:06:19That's sort of where I go to, because
  2112. 1:06:20independent of what you think is right,
  2113. 1:06:23who can fix this?
  2114. 1:06:24>> You need neo-Nazis.
  2115. 1:06:26>> and I No, I think that you go I go back
  2116. 1:06:28to two things.
  2117. 1:06:30One which is in our control,
  2118. 1:06:32and one that is in the control of
  2119. 1:06:36the large pools of money and, you know,
  2120. 1:06:38what I kind of euphemistically call
  2121. 1:06:39these bond vigilantes.
  2122. 1:06:42The bond vigilantes can break the back
  2123. 1:06:43of the French government.
  2124. 1:06:45And they can do that economically, and
  2125. 1:06:47they can do that by essentially making
  2126. 1:06:49their debt unfinanceable.
  2127. 1:06:51The knock-on effect of that decision
  2128. 1:06:55would be where you bring long rates so
  2129. 1:06:57far up that they can't finance their
  2130. 1:06:59debt.
  2131. 1:07:00And it essentially causes an economic
  2132. 1:07:02reset inside of France. And in that, you
  2133. 1:07:05have to have a grand bargain where you
  2134. 1:07:07can try to reset these things.
  2135. 1:07:09The problem with that is that every time
  2136. 1:07:12that it's happened in the past, somebody
  2137. 1:07:14accrues more power and somebody thinks
  2138. 1:07:16about their own ability to then have
  2139. 1:07:18influence over the next end number of
  2140. 1:07:20years after that reset. And it's never
  2141. 1:07:22about resetting in the right way.
  2142. 1:07:26The right way would cause you to look at
  2143. 1:07:28the pension system to your guys' point,
  2144. 1:07:30you know, enforce a bunch of rules
  2145. 1:07:33around, you know, the student to teacher
  2146. 1:07:34ratios in classrooms, enforce a bunch of
  2147. 1:07:36rules around wait times at hospitals,
  2148. 1:07:38enforce a bunch of rules around, you
  2149. 1:07:40know, how fast and or how slow you can
  2150. 1:07:43get building permits and what you can
  2151. 1:07:44see in rent adjusted inflation, yada
  2152. 1:07:46yada. You could do all of these things
  2153. 1:07:48if you had the political will.
  2154. 1:07:49Unfortunately, that's not how it's going
  2155. 1:07:50to go down. It's going to go down by who
  2156. 1:07:52is in power, who wants to basically pin
  2157. 1:07:54the blame on somebody else and then have
  2158. 1:07:56that power for the next five or 10 years
  2159. 1:07:57coming out of a reset. Because in the
  2160. 1:08:00middle of a reset, what happens is you
  2161. 1:08:02just give away all your rights.
  2162. 1:08:04So, that's not the solution. So, then
  2163. 1:08:06what's the solution? Then we're only
  2164. 1:08:07left with, okay, how do we all solve
  2165. 1:08:08this? And you're back to the whole like
  2166. 1:08:12is there like a panacea? And the only
  2167. 1:08:14panacea that nobody wants to believe is,
  2168. 1:08:16you know, we say it cuz we believe it,
  2169. 1:08:18like AI abundance and all of this
  2170. 1:08:20beautiful stuff.
  2171. 1:08:22It just sounds like meshugas. Like it's
  2172. 1:08:24like, I don't know, if I were if I was
  2173. 1:08:25anybody in France, I'd be like, AI? What
  2174. 1:08:27are you talking about? A bunch of
  2175. 1:08:29oligarchs from Silicon Valley? No, thank
  2176. 1:08:31you.
  2177. 1:08:32So, it's almost this intractable
  2178. 1:08:34problem. It's like the irresistible
  2179. 1:08:36force meeting the immovable object. And
  2180. 1:08:39I am completely at a loss
  2181. 1:08:41to
  2182. 1:08:43simulate in my brain
  2183. 1:08:46an outcome here. I don't see a
  2184. 1:08:48reasonable end game.
  2185. 1:08:49And so, I'm completely confused and
  2186. 1:08:52completely without Yeah, I mean, look,
  2187. 1:08:54it depends how far the collapse goes.
  2188. 1:08:56You could have this sort of social
  2189. 1:08:58collapse that you see in some countries
  2190. 1:09:01that involve rioting and murder and all
  2191. 1:09:03these sorts of things or you end up
  2192. 1:09:05having what is more of like an economic
  2193. 1:09:06collapse which is sort of like
  2194. 1:09:09Argentina and Brazil and others have
  2195. 1:09:12gone through Greece more recently
  2196. 1:09:16where the ability to service the debt
  2197. 1:09:18because the government got too big
  2198. 1:09:21forces this kind of restructuring of the
  2199. 1:09:23economy and yes there are still massive
  2200. 1:09:24protests there is a still an incredible
  2201. 1:09:27loss of net worth there is an incredible
  2202. 1:09:30inflation effect effectively that wipes
  2203. 1:09:32out asset values for people
  2204. 1:09:34and you end up having kind of a
  2205. 1:09:35resetting economic resetting without the
  2206. 1:09:38great social resetting. So you know
  2207. 1:09:40which path does he choose? I think we
  2208. 1:09:43have to do something. I don't think we
  2209. 1:09:45can run a higher deficit to GDP than
  2210. 1:09:48France in the United States with the
  2211. 1:09:50same debt to GDP as France and only
  2212. 1:09:52modestly higher GDP growth. I think we
  2213. 1:09:55are fundamentally going to need to have
  2214. 1:09:56some degree of reset in the United
  2215. 1:09:58States. The question is do we want it to
  2216. 1:10:00be a massive social reset or do the left
  2217. 1:10:03and the right want to put on their hard
  2218. 1:10:04caps and say okay we got to go in the
  2219. 1:10:06mines and do the work and figure out how
  2220. 1:10:08to cut this from seven and a half a year
  2221. 1:10:09to four a year and do it in a way that
  2222. 1:10:11doesn't destroy the economy. And I think
  2223. 1:10:13that there's a couple of solutions that
  2224. 1:10:16will allow that to happen like you know
  2225. 1:10:18you basically can deflate parts of the
  2226. 1:10:19economy like the education system the
  2227. 1:10:21higher education system by taking away
  2228. 1:10:23federal student loans. You can have a
  2229. 1:10:25hit to housing which will drop the net
  2230. 1:10:27worth of the middle class by 10 to 20%
  2231. 1:10:29by taking the federal home loan system
  2232. 1:10:31and reducing the underwriting that's
  2233. 1:10:33happening reduce the volume that's
  2234. 1:10:34pushing through because we've used it
  2235. 1:10:35largely to keep prices propped up high
  2236. 1:10:38to keep homes net worth high so that the
  2237. 1:10:40middle class remains highly solvent and
  2238. 1:10:42feel wealthy. The problem is it's now
  2239. 1:10:44inaccessible to the young people so they
  2240. 1:10:46can't buy a home. So we're now sort of
  2241. 1:10:48hitting the head here something's got to
  2242. 1:10:50give. So if you want to have the social
  2243. 1:10:51unrest
  2244. 1:10:52you don't move on that. But if you want
  2245. 1:10:54to allow them to feel like they have
  2246. 1:10:55access you're going to have to take a
  2247. 1:10:57hit. Middle class, upper class, wealthy,
  2248. 1:10:59etc. in the US are going to have to take
  2249. 1:11:00a hit on asset value and transfer it
  2250. 1:11:03more kind of carefully
  2251. 1:11:05to the emerging folks. And then you've
  2252. 1:11:06got to fix this pension system
  2253. 1:11:08which is
  2254. 1:11:10either overloaded or underloaded. In
  2255. 1:11:11both cases, it's really bad.
  2256. 1:11:14And this is why when ERISA happened, all
  2257. 1:11:16of the private companies in the United
  2258. 1:11:17States got rid of a defined benefit
  2259. 1:11:20programs. The only defined benefit
  2260. 1:11:22programs in the United States that still
  2261. 1:11:23exist are inside of governments because
  2262. 1:11:26unionized government employees said we
  2263. 1:11:27want to keep defined benefits. And if
  2264. 1:11:29they'd moved to defined contribution,
  2265. 1:11:31this is what's so sad about it. If they
  2266. 1:11:32had moved to defined contribution
  2267. 1:11:34programs, including social security,
  2268. 1:11:36they would have all had so much more
  2269. 1:11:38money. Everyone would have been
  2270. 1:11:40wealthier.
  2271. 1:11:40>> even have to wonder about this. You can
  2272. 1:11:41literally look at what's happened to
  2273. 1:11:43Australia and how happy people are that
  2274. 1:11:45they're forced to be in the market.
  2275. 1:11:47>> And Norway, yeah.
  2276. 1:11:48>> And Norway. They're just like, if you're
  2277. 1:11:50if you're forced to do that. And then we
  2278. 1:11:51had this incredible thing this week
  2279. 1:11:53which dovetails with this, which is Elon
  2280. 1:11:55said he's going to give every American
  2281. 1:11:57child, which I think is defined as under
  2282. 1:11:5918, a share of SpaceX worth 150, 160,
  2283. 1:12:03170 dollars it's been trading at, which
  2284. 1:12:05is a 10 billion dollar gift, which I
  2285. 1:12:07believe will be amongst the largest
  2286. 1:12:09gifts in the history of charity ever
  2287. 1:12:11done. And he said he's just getting
  2288. 1:12:12started with that. There's nothing that
  2289. 1:12:14says this is not going to
  2290. 1:12:16become
  2291. 1:12:18you know, a bit of a contagion amongst
  2292. 1:12:21the affluent to give a large portion of
  2293. 1:12:24their wealth to
  2294. 1:12:26or even a small portion of their overall
  2295. 1:12:28wealth, but giving it directly to kids
  2296. 1:12:30who can't touch it for 18 years. And if
  2297. 1:12:32we made it part of their superannuation
  2298. 1:12:33fund, maybe we could have invest America
  2299. 1:12:37up to 18 years old for college, and then
  2300. 1:12:39we could have an invest America for your
  2301. 1:12:41retirement. I mean, it would actually if
  2302. 1:12:42you bifurcated that and you gave one
  2303. 1:12:44share to each, that could be even more
  2304. 1:12:46accretive, right?
  2305. 1:12:47>> Jason, what did you think about your
  2306. 1:12:48friend Kara Swisher's
  2307. 1:12:50>> No longer friends. Kara and I have not
  2308. 1:12:52been friends for a long time.
  2309. 1:12:54I I think she is one of the
  2310. 1:12:56>> Can you just describe for the audience
  2311. 1:12:57what her criticism was of Elon and your
  2312. 1:12:59reaction to it?
  2313. 1:13:01>> she had multiple videos. One of them is
  2314. 1:13:03it's only one share
  2315. 1:13:05and that they should just give money
  2316. 1:13:08directly to people. And you know, it's
  2317. 1:13:11obviously what the reason that's
  2318. 1:13:13incredibly stupid is you should give any
  2319. 1:13:15possible gift that people are willing to
  2320. 1:13:17give and forcing people to hold on to it
  2321. 1:13:20makes them part of capitalism. And Kara
  2322. 1:13:22Swisher makes $10 million a year from
  2323. 1:13:24her podcast. She talks about it all the
  2324. 1:13:25time. She is of the 0.1 or 0.01%
  2325. 1:13:29she should give half of her podcasting
  2326. 1:13:31revenue if she's so virtuous to invest
  2327. 1:13:33America accounts. And she's also saying
  2328. 1:13:35they should be putting Elon in jail
  2329. 1:13:38and that the Democrats are going to do
  2330. 1:13:39that if they win. So there's like kind
  2331. 1:13:41of a a doubling there, but she's um
  2332. 1:13:44you know, she's a Karen and she's a
  2333. 1:13:45hypocrite.
  2334. 1:13:46>> Yeah. Can I say something about this?
  2335. 1:13:47Nick, can you pull up that image of that
  2336. 1:13:49woman
  2337. 1:13:50whose store was destroyed in France
  2338. 1:13:52who's a well-known activist? You guys
  2339. 1:13:54see this this this image
  2340. 1:13:56>> I did see this and I don't know that
  2341. 1:13:58it's true or not, but the story here is
  2342. 1:14:01>> Yeah, the story is that this woman is a
  2343. 1:14:02well-known activist in France who for a
  2344. 1:14:04long time was very vocal about opening
  2345. 1:14:06the borders and letting the immigrants
  2346. 1:14:07come in and taking care of the
  2347. 1:14:09immigrants. And she was angry and upset
  2348. 1:14:11and yelling at people in the street
  2349. 1:14:12while they were destroying her store
  2350. 1:14:14saying, "Do you know who I am?
  2351. 1:14:15I am an activist who advocated for you
  2352. 1:14:18all." And they didn't give a
  2353. 1:14:21They went in and destroyed her store and
  2354. 1:14:23the look on her face which was like,
  2355. 1:14:24"What the hell happened?" is meant to be
  2356. 1:14:27this moment that sort of captures the
  2357. 1:14:29zeitgeist of what some people call
  2358. 1:14:32suicidal empathy,
  2359. 1:14:34but I think it's much more about being
  2360. 1:14:37call it
  2361. 1:14:38an armchair do-gooder.
  2362. 1:14:41An armchair do-gooder is someone who
  2363. 1:14:42kind of sits at home
  2364. 1:14:44in a nice home in the suburbs
  2365. 1:14:47or wherever they live and they say
  2366. 1:14:50let all the people in, take care of all
  2367. 1:14:52the people.
  2368. 1:14:53But as soon as the people show up to
  2369. 1:14:55their front step and says, "Can I come
  2370. 1:14:58and stay in your house?" the answer is
  2371. 1:15:00no, of course not.
  2372. 1:15:02>> Yeah.
  2373. 1:15:02>> Someone else has to deal with it.
  2374. 1:15:04Someone else has to hold you in their
  2375. 1:15:06home. Someone else has to house you.
  2376. 1:15:07Someone else has to feed you. Someone
  2377. 1:15:09else has to give you a job because I
  2378. 1:15:10can't house you. I can't feed you. I
  2379. 1:15:13can't give you a job. And I think that
  2380. 1:15:16this is what has become inherent
  2381. 1:15:17throughout the West, which is the
  2382. 1:15:19armchair do-gooder that says we should
  2383. 1:15:21do all these good things.
  2384. 1:15:23But when it comes home to roost, when
  2385. 1:15:25the cost of doing those good things
  2386. 1:15:26comes home to roost they're shocked.
  2387. 1:15:29>> Yeah.
  2388. 1:15:29>> And they're all in the face and they're
  2389. 1:15:30like, "Holy shit." And this This, by the
  2390. 1:15:33way, we see it in the US.
  2391. 1:15:34>> We had a term for it, by the way.
  2392. 1:15:36>> great videos on Twitter, by the way,
  2393. 1:15:38where these people go around They go to
  2394. 1:15:39suburban homes and they're like, "Hey,
  2395. 1:15:41did you vote for so so-and-so bill to
  2396. 1:15:43have unrestricted immigration?" They
  2397. 1:15:44say, "Yes." They're like, "Okay, here's
  2398. 1:15:4515 guys that want to come live in your
  2399. 1:15:47house." She's And the people are like,
  2400. 1:15:48"No, I I They can't live in my house.
  2401. 1:15:50What do you What do you mean?"
  2402. 1:15:50>> This was called In another era, we
  2403. 1:15:52called this limousine liberals and it
  2404. 1:15:55was manifested when they used
  2405. 1:15:59which was quite offensive
  2406. 1:16:00but quite effective when they used
  2407. 1:16:02immigrants and bust them to Martha's
  2408. 1:16:04Vineyard or other places and were like,
  2409. 1:16:06"Here's your immigrants. You said you
  2410. 1:16:07wanted them."
  2411. 1:16:08>> What Rob Henderson called luxury
  2412. 1:16:09beliefs.
  2413. 1:16:10>> You know, luxury beliefs, limousine
  2414. 1:16:12liberals. You know, if you were to look
  2415. 1:16:14at the problems in France, they're not
  2416. 1:16:16completely intractable.
  2417. 1:16:18A lot of the complaints are, I think,
  2418. 1:16:20you know, wait times at a hospital.
  2419. 1:16:21Well, you have free health care. Oh, my,
  2420. 1:16:24you know, the student ratio. Well,
  2421. 1:16:25you're only paying 300 euros a year for
  2422. 1:16:27your college. If you want to go from 60
  2423. 1:16:29to to one down to 30 to one, okay,
  2424. 1:16:32you're going to need to charge you 2,000
  2425. 1:16:34euros a year.
  2426. 1:16:35>> you don't. No, you don't. You don't need
  2427. 1:16:36to charge them more. This is the point.
  2428. 1:16:38The point is when the bureaucracy
  2429. 1:16:39inflates and the quality of the service
  2430. 1:16:42goes down.
  2431. 1:16:43An intelligent person would look at that
  2432. 1:16:45inflated bureaucracy and say, this is
  2433. 1:16:47inversely correlated to what I expected.
  2434. 1:16:50So, really what should happen is people
  2435. 1:16:52have the intelligence to say, hold on a
  2436. 1:16:53second, I'm now spending 57 cents of
  2437. 1:16:57every gross productive dollar on a
  2438. 1:16:59government that now has increased my
  2439. 1:17:02wait times and decreased the student
  2440. 1:17:04teacher ratio.
  2441. 1:17:05>> there's something not going to be
  2442. 1:17:06efficient. So,
  2443. 1:17:07not a sufficient as
  2444. 1:17:08>> Exactly right. That's right.
  2445. 1:17:10>> But, if you the second part of what I
  2446. 1:17:12was going to say here is, you know,
  2447. 1:17:13there's austerity measures which have
  2448. 1:17:15been happening in Europe for a long
  2449. 1:17:16time. But, if you have an immigration
  2450. 1:17:19rate where you're importing 1.5% of your
  2451. 1:17:21population a year and your GDP is not
  2452. 1:17:24growing, that might be a signal to you
  2453. 1:17:26that maybe you have to change gears. And
  2454. 1:17:27if the people who you're immigrating
  2455. 1:17:29into the country are not productive or
  2456. 1:17:31not productive yet, maybe their kids
  2457. 1:17:33will be productive or their kids' kids
  2458. 1:17:34will be productive, but right now
  2459. 1:17:36they're a drain on society, you can only
  2460. 1:17:38accept so many people and then there's
  2461. 1:17:40another nuance point under that, which
  2462. 1:17:41is if you cannot you cannot accept
  2463. 1:17:43people who do not make a commitment to
  2464. 1:17:45assimilate into that country's culture.
  2465. 1:17:49Period. Full stop. You can have a very
  2466. 1:17:51small number of people, whether it's
  2467. 1:17:52Japan, the United States, or France, you
  2468. 1:17:54can only have so many people join the
  2469. 1:17:55country who don't speak the native
  2470. 1:17:57language because that becomes an
  2471. 1:17:58incredible burden. Now, you have to
  2472. 1:18:00create an entire second education
  2473. 1:18:02system, health care system where people
  2474. 1:18:03speak Spanish, where people speak
  2475. 1:18:05whatever, you know, French, German, and
  2476. 1:18:07whatever it happens to be. And and
  2477. 1:18:09that's what's taxing these
  2478. 1:18:10>> I think it's one in 19 are from northern
  2479. 1:18:12Africa and like one in nine is an
  2480. 1:18:14immigrant. And they have un
  2481. 1:18:16mitigated immigration in Europe. That's
  2482. 1:18:20the the other piece to this problem. If
  2483. 1:18:22they didn't have that for the past 20
  2484. 1:18:23years and they weren't adding so many
  2485. 1:18:26low-value immigrants as opposed to
  2486. 1:18:28high-value immigrants, high-value being
  2487. 1:18:30people with graduate degrees who are
  2488. 1:18:31investing in companies versus people who
  2489. 1:18:33are taking bottom rung jobs, and you
  2490. 1:18:35started looking at it
  2491. 1:18:37against the GDP of the country, against
  2492. 1:18:39the unemployment, against where does
  2493. 1:18:41this immigrant fit in what jobs we need?
  2494. 1:18:44So, do we need this type of worker?
  2495. 1:18:46Construction worker? Yes, okay, we
  2496. 1:18:47should add more of those cuz we have a
  2497. 1:18:49deficit, but they're not doing it
  2498. 1:18:51intelligently, and that speaks to this
  2499. 1:18:52woman running her small shop. She wants
  2500. 1:18:55to allow all these people to come there,
  2501. 1:18:57but she's not looking at the the balance
  2502. 1:18:59sheet, and the balance sheet doesn't
  2503. 1:19:01support it. I'll simplify it down. I
  2504. 1:19:02think it's an economic issue, yeah.
  2505. 1:19:04>> Just to restate what you said slightly
  2506. 1:19:06differently,
  2507. 1:19:07if you're providing social services to
  2508. 1:19:10an immigrant population, then that's not
  2509. 1:19:13necessarily a productive immigrant
  2510. 1:19:15population in terms of being able to
  2511. 1:19:17contribute to growing the economy and
  2512. 1:19:18supporting
  2513. 1:19:19>> Yes.
  2514. 1:19:19>> civil society. Social services
  2515. 1:19:23that are requisite for an immigrant
  2516. 1:19:25population should indicate to you that
  2517. 1:19:26that's probably not the immigrant
  2518. 1:19:28population you want to bring in.
  2519. 1:19:29>> This has nothing to do
  2520. 1:19:31>> with the countries or the character of
  2521. 1:19:33the people
  2522. 1:19:34>> of skin,
  2523. 1:19:35>> It's simply a statement that if you're
  2524. 1:19:36paying for social services to support an
  2525. 1:19:39immigrant population, something's wrong,
  2526. 1:19:41and it's the wrong population that you
  2527. 1:19:43want. But, if a population of immigrants
  2528. 1:19:45come in and they're productive, meaning
  2529. 1:19:47they can get jobs and they can work, and
  2530. 1:19:49they can support themselves, that means
  2531. 1:19:52they're adding something positive to the
  2532. 1:19:54economy, to the civil society, and that
  2533. 1:19:56is the sort of selection criteria that
  2534. 1:19:58needs to take place. So, that's a simple
  2535. 1:19:59framework for determining whether or not
  2536. 1:20:01you should do this, and an easy way to
  2537. 1:20:02solve it is get rid of social services
  2538. 1:20:05for immigrants. As soon as you get rid
  2539. 1:20:06of social services for immigrants, then
  2540. 1:20:08you self-select into the right
  2541. 1:20:10population that's going to come in. The
  2542. 1:20:11second thing is Jason, just to put a
  2543. 1:20:13point on this, it's not about
  2544. 1:20:15assimilating to society,
  2545. 1:20:17it's about sharing the values of what
  2546. 1:20:19makes the United States the United
  2547. 1:20:21States.
  2548. 1:20:21>> Well, that's what I mean.
  2549. 1:20:22>> The value of self-sufficiency, I don't
  2550. 1:20:24care about your religious beliefs, I
  2551. 1:20:26don't care about your movie interests, I
  2552. 1:20:27don't care about your first language, I
  2553. 1:20:30don't care about your sports interests.
  2554. 1:20:32The the multiculturalism of the United
  2555. 1:20:34States actually adds an incredible
  2556. 1:20:35amount of value. But the values of what
  2557. 1:20:38do we actually care about? What are the
  2558. 1:20:39principles that we all share as a civil
  2559. 1:20:41society of the United States or a civil
  2560. 1:20:44society of France is a screening
  2561. 1:20:46criteria that seems to have been thrown
  2562. 1:20:47out the window as we've allowed the
  2563. 1:20:49immigrant flocks to kind of take over
  2564. 1:20:51the West. Yeah.
  2565. 1:20:51>> freedom of speech? Do you believe in the
  2566. 1:20:53Second Amendment? Do you believe in the
  2567. 1:20:54core benefits of America? You pull
  2568. 1:20:55yourself up by your
  2569. 1:20:56>> women's rights? Do you believe that
  2570. 1:20:58women are equal to men?
  2571. 1:20:59>> Yeah.
  2572. 1:20:59>> As a simple one, right? Do you believe
  2573. 1:21:02that you should work for your money as
  2574. 1:21:03opposed to take it from the government?
  2575. 1:21:05Do you believe in your individual
  2576. 1:21:07rights? Do you believe in the legal
  2577. 1:21:08>> in the legal system versus your church's
  2578. 1:21:10legal system?
  2579. 1:21:11>> Is your church paramount to the
  2580. 1:21:12government and do you in in the laws of
  2581. 1:21:14the state? And do you believe that other
  2582. 1:21:16people have rights that you don't get to
  2583. 1:21:19trample on? Those are the sorts of
  2584. 1:21:21things that that are in many cases
  2585. 1:21:23counter to the cultural, religious, and
  2586. 1:21:25other traditional beliefs of certain
  2587. 1:21:27populations that end up causing the
  2588. 1:21:29damage in the West and I think that it's
  2589. 1:21:31been kind of completely lost in the
  2590. 1:21:33process.
  2591. 1:21:33>> You know what I thought when I heard
  2592. 1:21:34that kid talking about targeting these
  2593. 1:21:36Chinese people? It's like weirdly
  2594. 1:21:40reminiscent of like a a more bottoms-up
  2595. 1:21:43maybe poorly disorganized but a
  2596. 1:21:46bottoms-up version of Kristallnacht
  2597. 1:21:47where
  2598. 1:21:48>> Yes.
  2599. 1:21:49>> you had obviously the looting of Jewish
  2600. 1:21:52businesses and synagogues
  2601. 1:21:54in 1938.
  2602. 1:21:56>> Cuz they were doing better.
  2603. 1:21:57>> Which were state-sponsored and you know,
  2604. 1:21:59they had like some idiotic pretext but
  2605. 1:22:01ultimately it was because they were
  2606. 1:22:02jealous of the Jews. And now here you
  2607. 1:22:04see folks that are essentially like
  2608. 1:22:07burning and pillaging businesses and at
  2609. 1:22:09least some narrow percentage of them
  2610. 1:22:11were doing it effectively to target a
  2611. 1:22:13cohort of people that they are jealous
  2612. 1:22:16of and they are jealous of exactly what
  2613. 1:22:17you said because I don't think the
  2614. 1:22:19Chinese
  2615. 1:22:20you know, emigrate to a country and have
  2616. 1:22:22some of these long-tail views. They're
  2617. 1:22:24like, "Get me in the game, coach. Tap me
  2618. 1:22:26in. I'm ready to go.
  2619. 1:22:27>> They're entrepreneurs and they want to
  2620. 1:22:29do better.
  2621. 1:22:30>> They're industrial. They're super hard
  2622. 1:22:31working.
  2623. 1:22:31>> Exactly. And so the the contrast is
  2624. 1:22:33quite stark where you see one immigrant
  2625. 1:22:36essentially saying "A s'entendre pas
  2626. 1:22:37juste" is basically his way of saying
  2627. 1:22:39"It's not fair." Which is like kind of
  2628. 1:22:41like a petulant child.
  2629. 1:22:42>> Yeah.
  2630. 1:22:43>> You know, so on the one hand you have
  2631. 1:22:44petulant children on the other hand you
  2632. 1:22:45have hard working immigrants. They're
  2633. 1:22:47both immigrants. It's the craziest
  2634. 1:22:49dichotomy. I mean, I just seeing it in
  2635. 1:22:51real life
  2636. 1:22:51>> Immigrant on immigrant violence because
  2637. 1:22:53one is working harder, has a better
  2638. 1:22:55plan, is applying themself
  2639. 1:22:58and probably working seven seven days a
  2640. 1:23:01week, 12 hours a day at that business to
  2641. 1:23:03make it successful.
  2642. 1:23:04>> Her her specific story is even more
  2643. 1:23:08>> I was talking about the Chinese one.
  2644. 1:23:09Yeah. Not the
  2645. 1:23:10>> Yeah, the Chinese woman. Cuz they went
  2646. 1:23:11and they actually told her story and she
  2647. 1:23:13you know, she had worked there you know,
  2648. 1:23:14she had worked essentially in
  2649. 1:23:15restaurants for 34 years to earn the
  2650. 1:23:17money to open that restaurant.
  2651. 1:23:18>> Yeah. I grew up in the restaurant
  2652. 1:23:20business. Let me tell you, it's the
  2653. 1:23:21hardest thing on a family is to run a
  2654. 1:23:23business because when somebody doesn't
  2655. 1:23:25show up for work or you don't have
  2656. 1:23:28the money, you all just have to work. My
  2657. 1:23:30family, we all worked at the restaurant.
  2658. 1:23:32My mom My mom made the desserts at our
  2659. 1:23:35restaurant because she wanted to save
  2660. 1:23:37money. And she was a nurse, not a pastry
  2661. 1:23:38chef. Yeah. And you know, and and my
  2662. 1:23:41brothers and I, we worked at the
  2663. 1:23:43restaurant since we were six or seven
  2664. 1:23:45years old. We set the tables. We
  2665. 1:23:46polished the silverware. We were working
  2666. 1:23:48in the kitchen at 10 years old
  2667. 1:23:51and we were still living week to
  2668. 1:23:53week.
  2669. 1:23:54And then you come burn the business
  2670. 1:23:55down. You come burn my dad's business
  2671. 1:23:57down? We're going to unload. My dad
  2672. 1:23:59was packed was packing, you know? Like
  2673. 1:24:01he was strapped. And you you do this in
  2674. 1:24:04America? You do this in Texas?
  2675. 1:24:06You're going to get shot. And I I when I
  2676. 1:24:08saw those poor Chinese people on the
  2677. 1:24:10balcony, you know, and their lives are
  2678. 1:24:12at risk and their whole livelihood, I
  2679. 1:24:14just like man, I wish these people had
  2680. 1:24:16guns. I wish these people had guns to
  2681. 1:24:17could defend their private property.
  2682. 1:24:20It is just crazy that they could just be
  2683. 1:24:22run over like this. And they were going
  2684. 1:24:24to get killed. There's absolutely a
  2685. 1:24:27non-zero chance that that mob when mobs
  2686. 1:24:30get into that heightened state, they
  2687. 1:24:32will murder people. They will beat them
  2688. 1:24:34to death. And this poor other shop owner
  2689. 1:24:36was getting kicked and beaten just
  2690. 1:24:38trying to defend his little tiny
  2691. 1:24:39business, little tiny store. If you've
  2692. 1:24:40ever been to Paris, little tiny stores,
  2693. 1:24:43beautiful bespoke stores trying to make
  2694. 1:24:45a living in something they're passionate
  2695. 1:24:46about. It's just absolutely
  2696. 1:24:47heartbreaking. And you know, it's it's
  2697. 1:24:50>> And I'll just say this, the bond
  2698. 1:24:51vigilantes need to show up here and draw
  2699. 1:24:53a hard line in the sand. I think they
  2700. 1:24:54need to
  2701. 1:24:55break the back of the French government.
  2702. 1:24:58>> Okay, there it is. There's the mandate.
  2703. 1:25:00>> And you need to do it severely and you
  2704. 1:25:01need to do it promptly.
  2705. 1:25:02>> 6-7% would do what? 6-7% on these bonds?
  2706. 1:25:05>> I think you need to take France to like
  2707. 1:25:068% and just break them.
  2708. 1:25:08>> Yeah. And then all of a sudden austerity
  2709. 1:25:10measures, immigration, all this stuff is
  2710. 1:25:12going to be taken a lot seriously.
  2711. 1:25:13>> At least it'll all be on the table and
  2712. 1:25:15they'll have to sort through. They will
  2713. 1:25:17have to sort out
  2714. 1:25:18what they're willing to give up. But
  2715. 1:25:20right now, if you can skate through this
  2716. 1:25:22moment,
  2717. 1:25:23then these things continue to fester and
  2718. 1:25:26it is a tinderbox that at some point,
  2719. 1:25:28again, we know, again, just to use the
  2720. 1:25:31analogy of Kristallnacht, we know what
  2721. 1:25:33the trail of breadcrumbs
  2722. 1:25:35can lead to in terms of fomenting the
  2723. 1:25:37societal rage. You cannot allow that to
  2724. 1:25:40happen. And so, the government has a
  2725. 1:25:42responsibility now to nip this in the
  2726. 1:25:45bud in a structural way.
  2727. 1:25:47And I think the people have a
  2728. 1:25:48responsibility to understand the numeric
  2729. 1:25:52reality in which they are living. They
  2730. 1:25:54are living in a state that is spending
  2731. 1:25:56more than any communist utopia that they
  2732. 1:25:59hoped to achieve.
  2733. 1:26:01Yet the outcomes are broken, which means
  2734. 1:26:03the system is broken and you need to
  2735. 1:26:06reset that. And the government will not
  2736. 1:26:08reset it on its own and so the bond
  2737. 1:26:10vigilantes will have to do it for them.
  2738. 1:26:12This kind of stuff, if it continues to
  2739. 1:26:14compound, is extremely extremely
  2740. 1:26:16dangerous.
  2741. 1:26:17>> Yeah, super dangerous.
  2742. 1:26:20And but we had our little flashes here.
  2743. 1:26:21So it's it's we're definitely not immune
  2744. 1:26:24to it. We're we're a larger group of 50
  2745. 1:26:26states. So and they're they're at by the
  2746. 1:26:28way, I think France is almost at 56% is
  2747. 1:26:31their top tax rate.
  2748. 1:26:35Maybe it's 55, 56. The only place that's
  2749. 1:26:37higher I think in Europe is Denmark,
  2750. 1:26:39which is like a 60% top tax rate.
  2751. 1:26:41>> It doesn't matter. Take it to 90%.
  2752. 1:26:44Nothing will get better, folks.
  2753. 1:26:46Do whatever you want.
  2754. 1:26:47>> If the government provides a service,
  2755. 1:26:49there's going to be no innovation and
  2756. 1:26:50there's going to be no and there's going
  2757. 1:26:52to be no efficiency. It's just it is
  2758. 1:26:53what it is.
  2759. 1:26:54>> an individual human incentive to do
  2760. 1:26:57well,
  2761. 1:26:59nothing gets better.
  2762. 1:27:01>> All right, capitalism at its core.
  2763. 1:27:03And you know, the thing is Macron was
  2764. 1:27:04trying to get capitalism going there as
  2765. 1:27:06well. It was like a big part of
  2766. 1:27:08his
  2767. 1:27:08>> click on this image here or this link.
  2768. 1:27:10>> What are we looking at here?
  2769. 1:27:11>> I mean, this is sort of another
  2770. 1:27:13indicator of why GDP growth is
  2771. 1:27:15staggered.
  2772. 1:27:16But this is tax revenue as a percentage
  2773. 1:27:18of GDP. So France also tops the list on
  2774. 1:27:20tax revenue as a percentage of GDP at
  2775. 1:27:2246%.
  2776. 1:27:24So every dollar of GDP generated by the
  2777. 1:27:27country
  2778. 1:27:28is recollected as government tax
  2779. 1:27:31revenue.
  2780. 1:27:32>> Obviously two two drivers here.
  2781. 1:27:35High tax rates or low GDP, high GDP and
  2782. 1:27:39>> No, it's just the tax cuz the tax rate's
  2783. 1:27:40always a function of
  2784. 1:27:42income. So
  2785. 1:27:43>> point is if you put this in the other
  2786. 1:27:44one together, you have a confiscatory
  2787. 1:27:46government
  2788. 1:27:47that represents the overwhelming amount
  2789. 1:27:50of the economy where you have incredibly
  2790. 1:27:52deleterious outcomes. That is the
  2791. 1:27:54connect the dots and you can't hide.
  2792. 1:27:57>> This is the question for the United
  2793. 1:27:58States is which direction do you want to
  2794. 1:27:59go? Do you want to go up the chart or
  2795. 1:28:00down the chart on both charts that we
  2796. 1:28:02looked at? Which way do you want to go?
  2797. 1:28:04Because the quality of life goes down as
  2798. 1:28:06you move up the chart for all people and
  2799. 1:28:09the ability to progress gets destroyed
  2800. 1:28:11as you move up the chart. And as you
  2801. 1:28:13move down the chart, each individual's
  2802. 1:28:15ability to progress in life improves.
  2803. 1:28:19You have to do it on your own, you have
  2804. 1:28:21to have more agency, but your capacity
  2805. 1:28:23to improve your life improves. As tax
  2806. 1:28:26revenue goes down as a percentage of GDP
  2807. 1:28:28and as government spending as a
  2808. 1:28:29percentage of GDP goes down, your
  2809. 1:28:31opportunity as an individual, the basis
  2810. 1:28:34of the foundation of this great country,
  2811. 1:28:36improves. And that is really the North
  2812. 1:28:38Star that we should all be talking about
  2813. 1:28:40is how do we get back there? How do we
  2814. 1:28:42continue to move back in that direction
  2815. 1:28:43in the chart? And there's very practical
  2816. 1:28:45things. There's very simple things to
  2817. 1:28:46do. Like we talked about in the
  2818. 1:28:48>> Hold on. Hold the chart up again and
  2819. 1:28:49I'll I'll just give you a little bit of
  2820. 1:28:50a challenge here. I think most people in
  2821. 1:28:52America, especially young people, don't
  2822. 1:28:54believe what you're saying. If you look
  2823. 1:28:55at the US here,
  2824. 1:28:57uh
  2825. 1:28:57ahead of the US, Australia, Argentina,
  2826. 1:29:00South Korea, Japan, Brazil, Canada, UK,
  2827. 1:29:03Germany, Italy, France,
  2828. 1:29:05most people want to live in those
  2829. 1:29:06countries above us. Most Americans who
  2830. 1:29:10are complaining now, certainly want to
  2831. 1:29:12live in one of those countries and have
  2832. 1:29:13health care and want to have cheaper and
  2833. 1:29:15affordable college. Now housing is still
  2834. 1:29:18screwed
  2835. 1:29:18>> I disagree.
  2836. 1:29:19>> Oh, you disagree that most Americans
  2837. 1:29:21don't want universal health care?
  2838. 1:29:22>> No, no, no. Most Americans don't want to
  2839. 1:29:24live in a country above us on this list.
  2840. 1:29:26Absolutely not.
  2841. 1:29:26>> Well, they certainly don't want to go
  2842. 1:29:28below us to South Africa, Russia,
  2843. 1:29:30Turkey, China, Mexico, India, Indonesia,
  2844. 1:29:32or the rest of them.
  2845. 1:29:33>> I've been to I've been to every single
  2846. 1:29:34country on this list above us. I've
  2847. 1:29:36spent a lot of time there. I've been a
  2848. 1:29:37citizen of one of them and I would not
  2849. 1:29:40choose to be in any country above them.
  2850. 1:29:43>> Yeah.
  2851. 1:29:43>> Jason, do you know what youth
  2852. 1:29:44unemployment is in Brazil?
  2853. 1:29:46>> Uh Brazil, I do not know. I'm going to
  2854. 1:29:48guess 20%.
  2855. 1:29:49>> Youth unemployment in Brazil is around
  2856. 1:29:5115, 16%.
  2857. 1:29:52>> Yeah, that's that's right in the street.
  2858. 1:29:54>> And and it's and it's rising. And it's
  2859. 1:29:56rising. It's almost at 20%. US is still
  2860. 1:29:59fortunately below 10%.
  2861. 1:30:01>> Yeah, 8 9% now.
  2862. 1:30:02>> And the same is true in many of these
  2863. 1:30:04other countries. Like there just isn't a
  2864. 1:30:05growing economy that can support a
  2865. 1:30:08youthful employment system in many of
  2866. 1:30:10these countries. So, I don't know if I
  2867. 1:30:12would agree with your statement most
  2868. 1:30:14people want to go live in those other
  2869. 1:30:15countries because if they wanted to,
  2870. 1:30:16they could use a credit card, buy a
  2871. 1:30:17plane ticket, and go do that.
  2872. 1:30:19>> I think most people want what those
  2873. 1:30:21countries deliver. Most people
  2874. 1:30:23>> They they want what those what those
  2875. 1:30:24countries say they would be willing to
  2876. 1:30:26pay more tax for it.
  2877. 1:30:27>> Or they'd certainly be willing for us to
  2878. 1:30:28pay more tax to achieve it.
  2879. 1:30:30>> It's not in full scope. The full scope
  2880. 1:30:32of what those countries deliver is not
  2881. 1:30:34just an acute no-fee trip to the
  2882. 1:30:37doctor's office. It's that people want
  2883. 1:30:39to have the ability to do that and also
  2884. 1:30:41have a job and also have the ability to
  2885. 1:30:44progress. And to have all of these
  2886. 1:30:45things, fundamentally, the best system
  2887. 1:30:48is a smaller government system because
  2888. 1:30:50the more the government grows, the less
  2889. 1:30:52of that pie of things you will actually
  2890. 1:30:54get. It gets worse and worse.
  2891. 1:30:56>> I'm in line with your argument. I'm just
  2892. 1:30:58saying I'm just saying that chart does
  2893. 1:30:59not make a great That chart is not a
  2894. 1:31:01good piece of evidence in this argument.
  2895. 1:31:03I think most people are not
  2896. 1:31:05entrepreneurial and most people want to
  2897. 1:31:07pay more taxes.
  2898. 1:31:08No, but I mean that I think more
  2899. 1:31:11freedoms, less tax is what we all want.
  2900. 1:31:13I think a large percentage of America
  2901. 1:31:15wants us to pay more taxes and get more
  2902. 1:31:17services. And they believe those
  2903. 1:31:19countries right above us want more and
  2904. 1:31:22will give them more services. Therefore,
  2905. 1:31:23they don't mind waiting an extra couple
  2906. 1:31:26of hours or or months to get health care
  2907. 1:31:29if they get health care cuz they
  2908. 1:31:30currently get no health care or they get
  2909. 1:31:32bankrupted by health care. That that's
  2910. 1:31:33how dysfunctional our health care system
  2911. 1:31:35is in the United States. So, yeah, I
  2912. 1:31:37think most Americans would disagree with
  2913. 1:31:39us looking at that chart. That's just my
  2914. 1:31:41belief.
  2915. 1:31:42But we we're we're here to sharp iron
  2916. 1:31:43sharp iron sharpens iron. I think we
  2917. 1:31:46have to keep working on this value prop.
  2918. 1:31:48And I think this is where I don't know
  2919. 1:31:49if you guys saw my tweet this week about
  2920. 1:31:51how Trump President Trump could save the
  2921. 1:31:53second term. And a big part of it I
  2922. 1:31:55think is he has to
  2923. 1:31:57talk about housing as much as he's
  2924. 1:31:59talking about data centers. I think
  2925. 1:32:02raising the minimum wage is a nice
  2926. 1:32:03gesture since it only impacts 10 15
  2927. 1:32:05million people, the federal minimum wage
  2928. 1:32:06in this country. And there are things we
  2929. 1:32:08can do to
  2930. 1:32:11make it apparent to the people in the
  2931. 1:32:13bottom half of the country that we care
  2932. 1:32:15about them and that the president is
  2933. 1:32:17signing executive orders for them as
  2934. 1:32:19well as for us. And us I mean the tech
  2935. 1:32:21industry and and large businesses. And I
  2936. 1:32:24think that's that's the big problem of
  2937. 1:32:25why the president is just so lowly his
  2938. 1:32:28his ratings are so low, his approval so
  2939. 1:32:30low and perhaps we'll see on November
  2940. 1:32:323rd what happens with this election.
  2941. 1:32:34That's a big part of the the discontent
  2942. 1:32:36right now is people are frustrated that
  2943. 1:32:39they're not even President Trump doesn't
  2944. 1:32:41even talk about them anymore. He doesn't
  2945. 1:32:42talk about minimum wage, doesn't talk
  2946. 1:32:44about housing, doesn't talk about
  2947. 1:32:46inflation. He just says it's all going
  2948. 1:32:47to be fine.
  2949. 1:32:48And we're living in the golden age. But
  2950. 1:32:50then he's more than willing to talk
  2951. 1:32:51about our issues, data centers, crypto,
  2952. 1:32:54etc. And the messaging in this country
  2953. 1:32:57is really far off. It's really far off.
  2954. 1:32:59And until we get somebody in that office
  2955. 1:33:02who is willing to talk about the bottom
  2956. 1:33:04half of the country and 50/50, you know,
  2957. 1:33:07hey, we're going to talk about big tech,
  2958. 1:33:08we're going to talk about uh lowering
  2959. 1:33:10taxes, but we're also going to talk
  2960. 1:33:11about raising uh the minimum wage. We're
  2961. 1:33:13going to talk about a a plan to build
  2962. 1:33:16more affordable housing as opposed to
  2963. 1:33:17just more data centers. That's the
  2964. 1:33:19disconnect
  2965. 1:33:20>> Well, hold on. Hold on. Hold on. Hold
  2966. 1:33:21on.
  2967. 1:33:22>> You can break it apart any way you like.
  2968. 1:33:24>> If you actually read what he tweets,
  2969. 1:33:27I think he connects the dots on all of
  2970. 1:33:29these things. I think that he
  2971. 1:33:32has
  2972. 1:33:34acted in a way that one should when you
  2973. 1:33:36realize that
  2974. 1:33:38the AI buildout is the disproportionate
  2975. 1:33:41percentage of all GDP. It is basically
  2976. 1:33:43all of it. And it doesn't just pull
  2977. 1:33:46through stock performance for seven
  2978. 1:33:48companies.
  2979. 1:33:49There's been a bunch of data now. It
  2980. 1:33:50pulls through massively increased wages
  2981. 1:33:52for middle class and skilled labor. And
  2982. 1:33:55then he's been telling people that if
  2983. 1:33:56you're going to build these data
  2984. 1:33:57centers, do it in a way where you lower
  2985. 1:33:59the electricity cost, do it fully behind
  2986. 1:34:01the meter, invest in the local
  2987. 1:34:03communities. That also has positive
  2988. 1:34:04impact. So, you know, he's trying to
  2989. 1:34:07make sure he lands the plane on the US
  2990. 1:34:09economy.
  2991. 1:34:10>> I agree he's doing that.
  2992. 1:34:12>> Whether you agree with it or not, the US
  2993. 1:34:14economy is entirely and completely
  2994. 1:34:16levered to and correlated with the AI
  2995. 1:34:18trade.
  2996. 1:34:19>> Yeah.
  2997. 1:34:20I I agree that he is doing a great job
  2998. 1:34:23in that. Like better than any president
  2999. 1:34:25I've ever seen in my lifetime in terms
  3000. 1:34:27of getting the economy rocking.
  3001. 1:34:30The public, the overwhelming number of
  3002. 1:34:33Americans now do not agree with what you
  3003. 1:34:35just said. They believe that he is not
  3004. 1:34:38does not care about the issues he care
  3005. 1:34:39about. That's why he's at his historic
  3006. 1:34:41low in terms of approval rating. So,
  3007. 1:34:44there is a messaging problem here. So, I
  3008. 1:34:47I'm not saying I should be the press
  3009. 1:34:48secretary here, but somebody's got to be
  3010. 1:34:50a press secretary here based on
  3011. 1:34:52communications. First of all, I think
  3012. 1:34:54sucks out of this administration.
  3013. 1:34:56>> Let me say something about the press
  3014. 1:34:57secretary. I think just for one second,
  3015. 1:34:59just for a small deviation.
  3016. 1:35:02We have not spent enough time actually
  3017. 1:35:04acknowledging what more people should
  3018. 1:35:06acknowledge more often, which is
  3019. 1:35:08Karoline Leavitt is an absolute goat.
  3020. 1:35:11She set the bar so high. She's so
  3021. 1:35:14talented. She's for being so young, it's
  3022. 1:35:17unbelievably impressive. It's almost an
  3023. 1:35:19impossible job to follow her. Let me
  3024. 1:35:20just say that because I don't think
  3025. 1:35:21people say that enough. Second, I will
  3026. 1:35:24actually go out on a limb and say this.
  3027. 1:35:25I think that you are an incredibly
  3028. 1:35:27dogged bulldog. I think that if you got
  3029. 1:35:29to know the president,
  3030. 1:35:31you would be besties with him. I I
  3031. 1:35:33really legitimately think you would, and
  3032. 1:35:35I think you would be an incredible press
  3033. 1:35:36secretary. Now, the problem is
  3034. 1:35:38the problem is that you have stupid
  3035. 1:35:40ideas. And as long as and as long as you
  3036. 1:35:43can avoid representing your stupid
  3037. 1:35:46ideas.
  3038. 1:35:46>> You think the minimum wage is a stupid
  3039. 1:35:47idea? I don't think so.
  3040. 1:35:48>> No, no, no. No, no, no.
  3041. 1:35:49You you you It's a terrible idea. I
  3042. 1:35:51agree with you. The federal minimum wage
  3043. 1:35:52is not. Look at the studies.
  3044. 1:35:54>> You are the epitome of an armchair
  3045. 1:35:55do-gooder.
  3046. 1:35:56Okay?
  3047. 1:35:57And and if you could if you could quell
  3048. 1:35:59that instinct and actually be
  3049. 1:36:02you know, his vessel, you would be
  3050. 1:36:04incredibly effective because you are
  3051. 1:36:05dogged, you're great on your feet,
  3052. 1:36:07you're super funny.
  3053. 1:36:08Uh you'd be incredible.
  3054. 1:36:10>> People are now People are now pitching
  3055. 1:36:11me to do it.
  3056. 1:36:12>> I don't think you'll be able to manifest
  3057. 1:36:14this one, but you are you are incredible
  3058. 1:36:16at
  3059. 1:36:16>> I mean, we were number one the last 2
  3060. 1:36:17weeks in a row, so I would not
  3061. 1:36:19underestimate my manifesting powers. I
  3062. 1:36:21do think Free Bird, if you if you look
  3063. 1:36:23at the studies, I I think you're dealing
  3064. 1:36:25with old data and maybe a little bit of
  3065. 1:36:27dogged libertarian principles, which I
  3066. 1:36:28too shared. If you look at what's
  3067. 1:36:30happened
  3068. 1:36:31>> dogged libertarian principles
  3069. 1:36:33>> No, I Listen, [laughter] I I'm I'm I I I
  3070. 1:36:36share some of those libertarian ones
  3071. 1:36:37where I'm like, the free market will
  3072. 1:36:38work it out. It's only 15 million people
  3073. 1:36:40in this country who make under uh $15 an
  3074. 1:36:42hour and who are impacted by the federal
  3075. 1:36:44minimum wage, which has not moved in
  3076. 1:36:45decades.
  3077. 1:36:47I If the president came out and just
  3078. 1:36:49said, "Hey, we're going to increase the
  3079. 1:36:50minimum wage by $1 federal minimum wage,
  3080. 1:36:52which is basically doesn't count for
  3081. 1:36:54half the states cuz half the states have
  3082. 1:36:55their own minimum." And he just says,
  3083. 1:36:57"It would just be like a good faith
  3084. 1:36:58thing to do. Hey, we're going to do add
  3085. 1:37:00a dollar a year for 7 years. We're going
  3086. 1:37:02to get it to $15." What happens is all
  3087. 1:37:04that money gets recirculated and it just
  3088. 1:37:06creates more monetary velocity in the
  3089. 1:37:09country. It all gets spent at the
  3090. 1:37:10company. So, it's a tragedy of the
  3091. 1:37:12commons. You know, one person doesn't
  3092. 1:37:14want to pay this and another person
  3093. 1:37:15doesn't. Look at what happened in
  3094. 1:37:16Australia. Look at the Nordics. When
  3095. 1:37:18they raised
  3096. 1:37:19>> Jason Jason
  3097. 1:37:20Listen, California passed Assembly Bill
  3098. 1:37:231228 2024 and increased the minimum wage
  3099. 1:37:25in California
  3100. 1:37:26>> To $20. It was too too fast. I I I'm not
  3101. 1:37:29advocating from 7 to 20.
  3102. 1:37:31>> So, when they did that, we lost 18,000
  3103. 1:37:34fast food jobs
  3104. 1:37:35in the state. And the reason is Just
  3105. 1:37:37think about this. But just just But just
  3106. 1:37:39think about this. The reason is
  3107. 1:37:41The reason is that the fast food
  3108. 1:37:43industry sells food to consumers.
  3109. 1:37:46Consumers want cheap fast food. So, when
  3110. 1:37:49you increase the labor rate against the
  3111. 1:37:52market's demand,
  3112. 1:37:53>> Yeah.
  3113. 1:37:54>> then the consumer says, "I'm not paying
  3114. 1:37:56$8 for a burger. I can't afford it. I
  3115. 1:37:58could only afford $4." So, there's
  3116. 1:38:00actually no one to pay the wages of
  3117. 1:38:04those fast food workers. So, number one,
  3118. 1:38:06the consumers lose because they've now
  3119. 1:38:07lost their local fast food joint because
  3120. 1:38:09they can't afford the new fast food. And
  3121. 1:38:11number two is the employees who were
  3122. 1:38:14voluntarily
  3123. 1:38:15willingly working there for 18 bucks or
  3124. 1:38:1816 bucks or 12 bucks, whatever the
  3125. 1:38:19number is, suddenly lost their job.
  3126. 1:38:21>> Yeah, so let me
  3127. 1:38:22>> many ways as you want to slice this,
  3128. 1:38:24this is not a dogged libertarian
  3129. 1:38:25principle. This is just a very common
  3130. 1:38:27sense view on the world.
  3131. 1:38:28>> yeah,
  3132. 1:38:28>> Which is if if the buyers are there and
  3133. 1:38:30the buyers are saying, "Hey, I'm willing
  3134. 1:38:32to pay more." And the workers are
  3135. 1:38:34willing to say, "I need to get paid more
  3136. 1:38:35to work here." The market finds a happy
  3137. 1:38:38medium. But, when the government
  3138. 1:38:40intervenes, it blows up the market. It
  3139. 1:38:42destroys the supply. It destroys the
  3140. 1:38:44demand. And people lose jobs. And that's
  3141. 1:38:46what we see time and again when the
  3142. 1:38:48government intervenes in market
  3143. 1:38:49dynamics.
  3144. 1:38:49>> Here's where you're wrong.
  3145. 1:38:51Number one, I never said go to $20 an
  3146. 1:38:53hour. I said go at $1 per year for the
  3147. 1:38:55next seven, which will get us to 15 in
  3148. 1:38:58seven years, which would would put us
  3149. 1:38:59out in 2032. So, you're comparing the
  3150. 1:39:02most radical program, California's,
  3151. 1:39:04which I don't agree with, to the my
  3152. 1:39:06common sense one. Put that now going to
  3153. 1:39:08the second point. It has added
  3154. 1:39:11essentially 25 cents to each meal at
  3155. 1:39:14those places when you do this. And it
  3156. 1:39:16makes them get rid of the jobs that are
  3157. 1:39:18going to be replaced anyway, like
  3158. 1:39:19cashiers. But, we still have the same
  3159. 1:39:22unemployment rate in these places.
  3160. 1:39:24People went to other productive jobs
  3161. 1:39:26when those jobs became automated. An
  3162. 1:39:27argument you and I have made here many
  3163. 1:39:29times, which is people go find work. So,
  3164. 1:39:32you can't have it both ways, Mr.
  3165. 1:39:33Freeberg.
  3166. 1:39:34>> I still I disagree.
  3167. 1:39:35>> people will find more productive work.
  3168. 1:39:37People do find Those people who lost
  3169. 1:39:39their jobs found better work in
  3170. 1:39:41statistically here in California or in
  3171. 1:39:43>> to be market prognosticator where you're
  3172. 1:39:45trying to determine what is the right
  3173. 1:39:47price for the market. And the more you
  3174. 1:39:50do that, the more you are going to
  3175. 1:39:52destroy the market. Because
  3176. 1:39:54fundamentally that $1 or whatever the
  3177. 1:39:55thing that you do to rationalize the
  3178. 1:39:57government's intervention is going to
  3179. 1:39:59have some effect on some set of the
  3180. 1:40:01market that is going to tip over the
  3181. 1:40:03point where it no longer makes economic
  3182. 1:40:05sense for the buyers to pay the premium
  3183. 1:40:07price and some number of those sellers
  3184. 1:40:10will get out of the market and the thing
  3185. 1:40:11goes away.
  3186. 1:40:12>> This would be true. This would be true
  3187. 1:40:14if
  3188. 1:40:15you uh applied this in an unconstrained
  3189. 1:40:17fashion. In a very constrained fashion,
  3190. 1:40:20um raising the bottom, all it does it
  3191. 1:40:23practically is those people go spend the
  3192. 1:40:25money with the same companies they're
  3193. 1:40:27working for. The Amazon delivery person
  3194. 1:40:29or the, you know, UPS delivery person,
  3195. 1:40:32those people already have $20 an hour
  3196. 1:40:33jobs, but the people who are doing those
  3197. 1:40:35jobs, they just spend it at the same
  3198. 1:40:36companies. So in reality, when you force
  3199. 1:40:40everybody at the same time to hit a
  3200. 1:40:41minimum labor uh dollar amount, and we
  3201. 1:40:44already have it by the way for this very
  3202. 1:40:46reason, it just gets recirculated. It's
  3203. 1:40:48actually good for uh companies and we
  3204. 1:40:50saw it in Australia, New Zealand, in uh
  3205. 1:40:53the Nordics. As they raised it, all the
  3206. 1:40:55companies did better because their
  3207. 1:40:57customers had more money to spend and
  3208. 1:40:59people were happy. And in a society, you
  3209. 1:41:01don't just want to do things for
  3210. 1:41:02economic reasons. You also want to do it
  3211. 1:41:05to make people have a better life. And I
  3212. 1:41:07think that's what raising the minimum
  3213. 1:41:08wage does. It makes an esprit de corps.
  3214. 1:41:10It makes everybody's in it together. And
  3215. 1:41:12the president of the United States is
  3216. 1:41:13looking at that lowest paid worker and
  3217. 1:41:15saying, "You know what? We're going to
  3218. 1:41:16ask Amazon, we're going to ask
  3219. 1:41:17McDonald's, whoever it is, to just do a
  3220. 1:41:19little bit better for but 10 million
  3221. 1:41:22Americans. It has no effect. It's only
  3222. 1:41:2410 million Americans." That's why I
  3223. 1:41:26think it's a no-brainer. It's a
  3224. 1:41:28no-brainer.
  3225. 1:41:29>> We're not going to agree on this. I
  3226. 1:41:30think an alternative would be to drop
  3227. 1:41:32taxes for the lower bracket and give
  3228. 1:41:34people a zero tax rate.
  3229. 1:41:35>> Okay. Zero tax rate up to
  3230. 1:41:38That that would solve everything.
  3231. 1:41:39>> And when you do that, you don't have to
  3232. 1:41:40raise the minimum wage. You can give
  3233. 1:41:42those people that money in their pocket
  3234. 1:41:43because they don't have to pay money out
  3235. 1:41:45of their their pocket.
  3236. 1:41:46>> Zero out the taxes.
  3237. 1:41:47>> And you can do other things like credits
  3238. 1:41:49for them. So, there's a lot of ways,
  3239. 1:41:51Jason, to kind of get to the bottom
  3240. 1:41:53>> Donald J. Trump
  3241. 1:41:54>> just finish. Let me just finish. There's
  3242. 1:41:54a bunch of ways to solve that problem of
  3243. 1:41:57giving people access to capital and
  3244. 1:41:59allowing them to progress in a
  3245. 1:42:00meaningful way without forcing your way
  3246. 1:42:02into the market, which I think
  3247. 1:42:05always has adverse consequences. And you
  3248. 1:42:07can do that through tax policy and
  3249. 1:42:09incentives and other structures. But,
  3250. 1:42:10let's agree to disagree and move on.
  3251. 1:42:12>> a minimum wage. So, what we're debating
  3252. 1:42:14here is what should it be. All right,
  3253. 1:42:15everybody. We'll see you next time on
  3254. 1:42:16the literal number one podcast in the
  3255. 1:42:19world. Bye-bye.
  3256. 1:42:21>> Bye-bye.
  3257. 1:42:24>> We'll let your winners ride.
  3258. 1:42:26>> [music]
  3259. 1:42:26>> Rain Man David Sacks
  3260. 1:42:31And as I said, we open sourced [music]
  3261. 1:42:32it to the fans and they've just gone
  3262. 1:42:34crazy with it. Love you, Sacks. You're
  3263. 1:42:35the queen of
  3264. 1:42:37>> [singing]
  3265. 1:42:44>> Besties are gone.
  3266. 1:42:46That is my dog taking a nice [music]
  3267. 1:42:48near driveway dump.
  3268. 1:42:51Oh, man.
  3269. 1:42:54We should [music] all just get a room
  3270. 1:42:55and just have a one big huge orgy cuz
  3271. 1:42:57they're all just useless. It's like this
  3272. 1:42:58like sexual tension that they just need
  3273. 1:43:00to release somehow.
  3274. 1:43:02What? You're a deep V. What? You're a
  3275. 1:43:05pure freak.
  3276. 1:43:06What?
  3277. 1:43:07We need to get Mercy out of the pod. I'm
  3278. 1:43:09going
  3279. 1:43:15>> [music]
  3280. 1:43:17>> I'm going all in.

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