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He Says the Next Crisis Is Never Coming | Jordi Visser — Transcript

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  1. 0:00We know the fiat system is a Ponzi
  2. 0:01scheme. We know there's about a hundred
  3. 0:03and twenty trillion of physical hard
  4. 0:04currency in the world that supports nine
  5. 0:06hundred trillion in assets. That is a
  6. 0:08levered Ponzi scheme. How do we [music]
  7. 0:09stop assets from falling? If all of a
  8. 0:11sudden the nine hundred trillion tries
  9. 0:13to come and get liquid, what do the
  10. 0:15central banks [music] have to do? They
  11. 0:16have to come in and print money. And
  12. 0:17what is money? Well, that's M2. We're
  13. 0:18about to unleash the nine hundred
  14. 0:19trillion in liquid form. That's what
  15. 0:21tokenization is. The Ponzi scheme then
  16. 0:22ends. [music] So, whenever I hear people
  17. 0:23in crypto talk about the liquidity
  18. 0:25cycle, that is a myth. That is when
  19. 0:26you're in the speculative phase.
  20. 0:28Tokenization is the key thing. There is
  21. 0:30nothing more important to Bitcoin and to
  22. 0:32[music] the programmables.
  23. 0:38>> Yeah, no. I know there's a I I'm not
  24. 0:41sure if you saw the Citrini post this
  25. 0:42morning, but it was somebody using Meows
  26. 0:44and
  27. 0:45they were on a Delta flight that got
  28. 0:47canceled on the tarmac and he
  29. 0:48immediately went "Rebook this flight and
  30. 0:50on top of that go find
  31. 0:53how I can get reimbursed for this flight
  32. 0:54that just got canceled." Within minutes
  33. 0:56he had a $250 credit. And the Citrini
  34. 0:59post was like "Number one, you're insane
  35. 1:00to think that this is a bubble and this
  36. 1:03is going nowhere. Maybe there are bubbly
  37. 1:04parts, but there is true utility here.
  38. 1:07Uh to say there's no use case
  39. 1:09is completely asinine. And then number
  40. 1:11two,
  41. 1:12like all those pennies that consumers
  42. 1:15have left on the ground with that like
  43. 1:16$250 credit, they're about to get picked
  44. 1:18up by the agents and airlines being a
  45. 1:20perfect example. What happens when
  46. 1:22people start efficiently using their
  47. 1:24miles and taking advantage of the
  48. 1:26refunds that they can get?
  49. 1:27>> I This is the beginning of the
  50. 1:29deflationary pressure on everything that
  51. 1:31we've talked about.
  52. 1:33You know, that we've as people realize
  53. 1:36that AI is deflationary, to get
  54. 1:37deflationary for the service side, you
  55. 1:39need AI agents. Cuz the agents make
  56. 1:42decisions based on efficiency. And the
  57. 1:45use of it is just I mean, that
  58. 1:47description of what Citrini did, you
  59. 1:49have to think about all the frustrating
  60. 1:51times you've had waiting to then rebook
  61. 1:53something. You get in a line when you
  62. 1:55get off the plane and how long the line
  63. 1:57is and everyone's trying to get on one
  64. 1:59and then you're trying to get a refund
  65. 2:00and you're trying to rebook things. All
  66. 2:02of this stuff will be handled, the
  67. 2:03frustrating part will be handled by
  68. 2:04agents and that's already happening and
  69. 2:06it's happening now. So whether it's Meta
  70. 2:09Muse or whether it's Instinct AI,
  71. 2:11there's a reason why these things are
  72. 2:13having an impact now on the market.
  73. 2:15>> Yeah, well
  74. 2:16like I was telling you, I took Muse for
  75. 2:17a spin this morning just to check it
  76. 2:18out. Try to book Amtrak, Amtrak's a bot,
  77. 2:21no. But point being
  78. 2:25it feels like the first like like I said
  79. 2:26it to my wife after playing with it for
  80. 2:2810 minutes. It's like, okay, this is I
  81. 2:30don't have to set up a Hermes agent for
  82. 2:31you. Like this is this is the the agent
  83. 2:33that you can use to coordinate our
  84. 2:35calendars, the boys sports schedule, all
  85. 2:38that. Like download it and this is
  86. 2:39[snorts] play with it today.
  87. 2:42>> That's the reason why this has now
  88. 2:44entered a realm for me of time.
  89. 2:46Um
  90. 2:50any speaking engagement I'm doing now
  91. 2:53it all gets back to time.
  92. 2:55Um
  93. 2:58you have to think about Open Claw
  94. 3:00which is a February thing in terms of
  95. 3:02like adoption.
  96. 3:04Then you get into Hermes. Then you get
  97. 3:06into Grokbot. Then you get into, well,
  98. 3:09Astrian Claude can already do this and
  99. 3:11we're going to make it easier and we're
  100. 3:12going to embed all this into one.
  101. 3:14So if you use Grokbot, it's a completely
  102. 3:17different situation using multiple
  103. 3:20agents to kind of run around and do
  104. 3:21tasks for you. So it's more like an
  105. 3:23autonomous workforce.
  106. 3:25With Muse and with
  107. 3:29with Instinct AI and a lot of the other
  108. 3:31private ones, now you're getting into
  109. 3:32the what we expected from Siri and what
  110. 3:35we expected from Alexa.
  111. 3:37But again, it's the fact that we're
  112. 3:38talking about something that is now 7
  113. 3:41months. So what has happened is the
  114. 3:43accept the compression of time
  115. 3:46is happening through the model releases
  116. 3:48and through the advancements. The
  117. 3:49Navier-Stokes problem, the agent swarm
  118. 3:52fears over, you know, hackings. These
  119. 3:55are all indications that were, you know,
  120. 3:57as I say repeatedly now, page 71 of
  121. 3:59situational awareness with Leopold shows
  122. 4:02where everything starts to speed up so
  123. 4:04fast that humans can't comprehend the
  124. 4:05change and they can't keep up with it.
  125. 4:07Well, if we can't keep up with it and
  126. 4:09we're starting to get into the
  127. 4:11transaction phase,
  128. 4:13the Swift system and everything that was
  129. 4:14built for humans will not work with the
  130. 4:17agents and they're going to start to
  131. 4:19demand
  132. 4:20>> faster rails.
  133. 4:21>> Yeah.
  134. 4:22>> No, it was this morning. Uh
  135. 4:24again, the the the problem with Amtrak
  136. 4:27you you were describing as a monopoly
  137. 4:28and will move, but the airlines have
  138. 4:30moved, but imagine when
  139. 4:32I can load it up with a Bitcoin wallet.
  140. 4:34Like
  141. 4:35you're going into your bucks you have
  142. 4:36Bitcoiners, you have the programmable
  143. 4:37money, then you have the incumbents. I'm
  144. 4:38a Bitcoiner.
  145. 4:40Uh and the beauty about the programmable
  146. 4:42part is like if I want to use Bitcoin as
  147. 4:44my currency, the native digital
  148. 4:45currency, and I don't want to touch
  149. 4:46anything else, I can just give the agent
  150. 4:48a Bitcoin wallet. It's like, all right,
  151. 4:49go figure out how to convert to
  152. 4:51the preferred currency of the service
  153. 4:53provider or the other agent you're
  154. 4:54buying something from. And
  155. 4:56I can see that's where things are going.
  156. 4:58And like I was saying, we're at
  157. 5:00the first stage where the incumbents had
  158. 5:02to realize this and begin
  159. 5:03re-architecting the
  160. 5:05infrastructure on the digital side they
  161. 5:07have to enable this because once they
  162. 5:08do,
  163. 5:09uh
  164. 5:11they're going to get a ton ton more
  165. 5:13business, I think.
  166. 5:14>> Yeah. And [snorts]
  167. 5:16again, I I think for people who don't
  168. 5:18see this and trust me, someone who when
  169. 5:20I speak about these things, I'll
  170. 5:22occasionally go see the
  171. 5:24uh
  172. 5:25the the comments in the post and people
  173. 5:27don't connect the agentic side to, let's
  174. 5:30say, the crypto guardrails and then kind
  175. 5:32of the impact it'll have on business.
  176. 5:34And it's surprising to me, but again,
  177. 5:37because I live in it 24 hours a day,
  178. 5:39meaning I'm monitoring how things are
  179. 5:41moving and I'm using the tools and yeah,
  180. 5:43oh, Muse is a thing. Let me go sign up
  181. 5:44for it. Okay, Instinct AI. I talk about
  182. 5:46it one week. The amount of people
  183. 5:47reached out. And again, when Meta Muse
  184. 5:49is
  185. 5:50the number one downloaded app,
  186. 5:53okay, and the numbers are big, you start
  187. 5:55realizing,
  188. 5:57oh my god,
  189. 5:58the people who aren't paying attention
  190. 6:00to this,
  191. 6:01there's a million people that have
  192. 6:03already downloaded it. So, it's like
  193. 6:05this is going to grow incredibly
  194. 6:06rapidly, especially when you realize how
  195. 6:08much time it can save you. The money
  196. 6:10part will come second. And that's the
  197. 6:12thing I keep trying to make sure people
  198. 6:14understand. The money thing will come
  199. 6:16second, but this is where you have to
  200. 6:19start realizing, okay, how is crypto
  201. 6:22directly connected
  202. 6:25to agents? And that's where you have to
  203. 6:26go back. And that's why the stuff I'm
  204. 6:28talking about now is it was always made
  205. 6:31for digital agents, cuz they're the only
  206. 6:33ones that can utilize the speed. And
  207. 6:35they're the only ones who truly care
  208. 6:36about, why are we using Visa and
  209. 6:38MasterCard? Why are we doing any of this
  210. 6:40stuff? Why aren't we just going straight
  211. 6:41here, here, here? Let me negotiate. Let
  212. 6:43me go through it. They have the time to
  213. 6:44do it. And it's going to be agent to
  214. 6:47agent. The next thing people have to
  215. 6:48think about is how important
  216. 6:49cryptography is in this. How important
  217. 6:51your identity is in this. The ecosystem
  218. 6:53starts to grow rapidly once the agents
  219. 6:55start transacting, because then all of
  220. 6:57the things that have ever been written
  221. 6:58about and talked about become more
  222. 7:00important, because the ecosystem starts
  223. 7:02to grow in terms of volume and velocity,
  224. 7:05and the size of the ecosystem is going
  225. 7:07to grow rapidly over the next 12 months.
  226. 7:09>> Yeah.
  227. 7:10Digging into agents specifically
  228. 7:12[clears throat] and how unprepared
  229. 7:15people are. I don't think if
  230. 7:17most like 99.5% of people on the planet
  231. 7:20don't understand that
  232. 7:22they hear AI, they think ChatGPT.
  233. 7:24All right, okay.
  234. 7:26>> [clears throat]
  235. 7:26>> What's the usage looking like? When they
  236. 7:27think of usage, it's like, okay,
  237. 7:29downloading Muse, talking with Muse, uh
  238. 7:32using tokens to do that. They don't
  239. 7:33realize that the agent-to-agent token
  240. 7:35usage has gone exponential and far
  241. 7:38exceeds the the human the LLM token
  242. 7:42usage. And that that fact alone I think
  243. 7:44highlights
  244. 7:46the
  245. 7:47the arbitrage that exists in the market.
  246. 7:49The fact that most people don't
  247. 7:50understand that fact is extremely
  248. 7:53powerful.
  249. 7:54It gets to something you've been talking
  250. 7:55about for for many weeks now, which is
  251. 7:58that we're climbing this wall where you
  252. 7:59have a ton of the the the layman, the
  253. 8:03public out there thinking that this is a
  254. 8:04bubble that's going to
  255. 8:06pop eventually.
  256. 8:08And they think we're going to go into
  257. 8:09like a massive economic crisis driven by
  258. 8:11this. But if you look at the underlying
  259. 8:13usage, particularly agent to agent, it
  260. 8:15seems that the fundamentals are going
  261. 8:18not only in the right direction, but far
  262. 8:19exceeding what anybody thought up to
  263. 8:21this point.
  264. 8:23>> Th- this is um
  265. 8:27for anyone listening who falls into the
  266. 8:29the camp of a warrior on AI, which is
  267. 8:32the majority of people,
  268. 8:35um
  269. 8:37getting expected value of an investment
  270. 8:39is about lining up all of the
  271. 8:41probabilities outcomes and the upside
  272. 8:44and downside of all of them.
  273. 8:46So, is there a bubble aspect? Of course,
  274. 8:48you could come up with a bunch of
  275. 8:49reasons. I I mean I
  276. 8:52I mean they're all tail risks of things,
  277. 8:55but you're not going to stop the
  278. 8:56progress on AI. You can't. We're not
  279. 8:58going to pause it. Like that was stupid.
  280. 9:00Like some everyone's waiting. Just the
  281. 9:03reaction to the pause in AI from the
  282. 9:04most sophisticated investors in the
  283. 9:06world, and I get emails that day.
  284. 9:09>> Well, this is we're going to be down big
  285. 9:11on Monday. I'm like, there'll be a
  286. 9:12knee-jerk reaction and it'll be an
  287. 9:13opportunity to buy. And here we are,
  288. 9:15whatever many days later, we're way
  289. 9:16through those levels. Meaning we're way
  290. 9:19above where it was before that news came
  291. 9:21out. So, for everyone listening who's
  292. 9:23worried,
  293. 9:25the expected value, if you break it into
  294. 9:27a binomial situation, let's assume to
  295. 9:30use what I did in my video, there's a
  296. 9:3190% chance
  297. 9:33we're headed towards abundance. And
  298. 9:35there's a 10% chance
  299. 9:37that we're going to blow up and AI will
  300. 9:39never amount to anything.
  301. 9:41Okay, in one scenario you have a zero,
  302. 9:4310% chance of a zero, and on the other
  303. 9:45side you have a 90% chance of something
  304. 9:49It's just shockingly good.
  305. 9:51The expected value is shockingly good
  306. 9:53then in terms of the combination of the
  307. 9:55two. Now, you can come up with all the
  308. 9:56different scenarios you want in between.
  309. 9:59But the reality is if you're worried
  310. 10:00about the 10%, if you're waiting for
  311. 10:02that story, the debt is too big, this
  312. 10:05and that. I can refute all of it. But
  313. 10:07the only thing you have to make sure
  314. 10:09that you realize
  315. 10:10every day that the process gets bigger.
  316. 10:12Consumer agents are different than
  317. 10:14enterprise agents. We haven't even
  318. 10:16completed the enterprise adoption yet
  319. 10:18and we're already moving on to the
  320. 10:19consumer agent side. Consumer agents are
  321. 10:22very different than enterprise.
  322. 10:24Enterprise is about replacing
  323. 10:26digital employee or human employees and
  324. 10:29it's through coding. It's through APIs
  325. 10:31and going into, you know, using up the
  326. 10:34amount of compute to figure things out
  327. 10:36for consumer agents.
  328. 10:38Now you're talking about them working
  329. 10:3924/7 to book you a trip, to look into
  330. 10:42this, to go through all of the
  331. 10:43permutations. The amount of websites
  332. 10:45they have to touch, it's continuous. So,
  333. 10:48consumer agents on top of enterprise
  334. 10:50agents means the compute needs just keep
  335. 10:52growing. So again, it gets back to the
  336. 10:54simple thing. All bubbles are about
  337. 10:57supply being in front of demand.
  338. 11:00For the crypto doubters,
  339. 11:03we built the guardrails.
  340. 11:05It's an empty city. As I say, it's a
  341. 11:07ghost city. We We built the
  342. 11:08infrastructure. We've been waiting for
  343. 11:09the users to come. Well, the users are
  344. 11:11coming in the form of agents. And if
  345. 11:13people want to watch one video for the
  346. 11:15rest of the month
  347. 11:17to hear from someone who
  348. 11:19can take you through what's happening at
  349. 11:21the company level and how the ROIC is
  350. 11:25already happening in various forms, not
  351. 11:27in the way you want it, which is when
  352. 11:29are we going to see the revenues coming
  353. 11:30in. Oh, look, Anthropic and Open AI only
  354. 11:32have X and the hyperscalers only have
  355. 11:35No, John Gray from Blackstone gave a
  356. 11:37talk yesterday to his at his event for
  357. 11:4030 minutes. It's on YouTube and he
  358. 11:43literally went through the five
  359. 11:44different ways that his companies, of
  360. 11:47which he owns is, you know, has private,
  361. 11:51how they're all benefiting from AI in
  362. 11:53five different ways to increase their
  363. 11:55profitability, which is seeing their
  364. 11:57margins grow and he's taking you through
  365. 11:59those scenarios. I just don't think
  366. 12:00people have really, really thought
  367. 12:02thought hard enough about the fact that
  368. 12:04there's a higher probability of a good
  369. 12:05outcome than a bad outcome.
  370. 12:07>> And on the enterprise side,
  371. 12:09it'll be interesting to see how that
  372. 12:10plays out. I think we had a
  373. 12:12a pretty big signal from
  374. 12:15the enterprise that was last week or the
  375. 12:17week before with Latham and Watkins
  376. 12:20deciding to buy
  377. 12:22Nvidia GPUs, self-host and
  378. 12:25basically ensure that their IP isn't
  379. 12:27being leaked to Anthropic and Open AI.
  380. 12:29And I don't know exactly how Latham and
  381. 12:32Watkins is implementing it, but I
  382. 12:34imagine what they're doing is uploading
  383. 12:36the the knowledge base of that firm over
  384. 12:38the course of decades. And so like every
  385. 12:40case, every outcome, every bit of
  386. 12:43research they've done that they have
  387. 12:44stored somewhere
  388. 12:45in a file system. Just when you're
  389. 12:47talking about enterprise adoption,
  390. 12:48that's I think first before you even get
  391. 12:50into agents, it's like, "Okay, how do I
  392. 12:52imbue this institutional knowledge that
  393. 12:54we've built up over over decades into
  394. 12:57this system so that the AI can basically
  395. 12:59use that to go achieve our goals." And
  396. 13:01that alone is a massive undertaking.
  397. 13:05>> So, the question I have is what did it
  398. 13:06take him so long?
  399. 13:08Um I've talked about Eli Lilly. Eli
  400. 13:10Lilly did this a long time ago. Um I
  401. 13:13think their initial data center
  402. 13:16uh private-owned data center with a
  403. 13:18thousand GPUs, I think it's a thousand
  404. 13:20GPUs, went up in January, I believe.
  405. 13:23It's called LillyPod.
  406. 13:25Um they have Tune Lab, which is a way
  407. 13:29for them brilliantly to collect
  408. 13:31other data,
  409. 13:33combine it with their data
  410. 13:35on an anonymous basis, but it helps
  411. 13:39them on learn from their data while
  412. 13:41giving biotech companies the ability of
  413. 13:43testing their data their data on on Eli
  414. 13:46Lilly's data. So, if you have a a
  415. 13:49science lab that has all of these
  416. 13:51experiments, the pros and cons that come
  417. 13:53and where everything was going,
  418. 13:55and you're just putting in there and
  419. 13:57seeing what the output comes in, you
  420. 13:58have to think about how quickly the
  421. 14:00Navier-Stokes thing means that we're
  422. 14:02getting to. So, for a law firm to do it,
  423. 14:05I guess the reason it took so long is
  424. 14:08cuz they didn't have the money that Eli
  425. 14:09Lilly did. And they didn't have the
  426. 14:11understanding from being a Fortune 500
  427. 14:14company. And this is why I think there's
  428. 14:16been two levels so far that have been
  429. 14:19accelerating. One is the Fortune 500
  430. 14:21companies that have the money or
  431. 14:22adopting very quickly cuz they can just
  432. 14:24write the check and start going through
  433. 14:25it, but they also have tons of
  434. 14:27tech cons and
  435. 14:29engineers that are high-level.
  436. 14:31I don't know if a law firm has that. So,
  437. 14:33they have to probably go through a
  438. 14:34consultant that comes in and says what
  439. 14:36they can do, and then they decide to do
  440. 14:38it. If they have the money, they make
  441. 14:39the investment, they see the benefits.
  442. 14:41The other side that already is doing
  443. 14:42outside of Fortune 500 companies are AI
  444. 14:44native entrepreneurs. They're the ones
  445. 14:46that have the ability of using open
  446. 14:48source and not needing to worry about if
  447. 14:51their data is being used because it's a
  448. 14:53tiny little private company that's not
  449. 14:55trying to it doesn't have things to
  450. 14:56protect. It actually needs to grow, and
  451. 14:59the only thing they care about is going
  452. 15:01from zero today to a billion revenue in
  453. 15:03in 2 years. And before they could have
  454. 15:05been competed, they'll probably be
  455. 15:06monetized and move on to the next thing.
  456. 15:08>> Yeah.
  457. 15:09No, I I I think of
  458. 15:11>> [snorts]
  459. 15:11>> how we implemented at TFTC, everything
  460. 15:13we
  461. 15:14were feeding the models public anyway,
  462. 15:15so I don't care if and if OpenAI or
  463. 15:18Anthropic sees it. But to your point,
  464. 15:21it is insane. Like I was was uh
  465. 15:23demoing it last night at the at the open
  466. 15:25party here at Pub Key for this Freedom
  467. 15:27Tech Week and uh
  468. 15:29I have
  469. 15:30my Hermes agents connected to our
  470. 15:31company brain and I was like, "Hey, use
  471. 15:33the fountain MCP fountains where we host
  472. 15:35our podcast uh for RSS." And has video
  473. 15:38and I was like, "Hey,
  474. 15:40John Arnold and I from 10:31 recorded a
  475. 15:41video this morning. We talked about
  476. 15:43oil markets particularly and what people
  477. 15:45aren't seeing. Like, Ben as well as
  478. 15:46imports are going up. Uh it looks like
  479. 15:49ships are making it through the strait
  480. 15:51at 60%. Go clip that.
  481. 15:54And then pull out the juiciest sort of
  482. 15:56quote of that. And then a one-sentence
  483. 15:58summary of the clip in its entirety.
  484. 16:00Post it on my X within 10 minutes. I
  485. 16:02didn't even look at X. It was It was
  486. 16:04posted. But,
  487. 16:05to talk about efficiency, that would
  488. 16:07have taken probably 2 hours for somebody
  489. 16:09on our team to to go
  490. 16:12find it, uh clip it, get the tweet, get
  491. 16:15the subtitles.
  492. 16:17And I mean, that utility is
  493. 16:21very misunderstood right now for most
  494. 16:23people. This is just a podcast clipping.
  495. 16:27>> Yeah. And
  496. 16:28again, and for for you guys, um
  497. 16:31the IP is
  498. 16:33the using it. Um
  499. 16:35the AI models,
  500. 16:37they just keep getting better and
  501. 16:38better. The capabilities get better and
  502. 16:39better. And
  503. 16:41if you're involved in them every day,
  504. 16:43you know to ask, "Can I do this?"
  505. 16:45For people that don't use it often,
  506. 16:48they'll see something in X or they'll
  507. 16:50someone will tell them about something
  508. 16:52and then they'll go in and they'll look
  509. 16:53at it then.
  510. 16:55If you're not using it every day and
  511. 16:56knowing that it's getting better every
  512. 16:58single day and you're too worried about
  513. 17:00hallucinations and stuff like that, then
  514. 17:02you're not going to use it. If you don't
  515. 17:03use it, you're screwed. Like, that's
  516. 17:05[snorts] the plain simple thing. I think
  517. 17:07the value add for people is not
  518. 17:09understanding the things that AI can do
  519. 17:12out there. It's the ability of just
  520. 17:14asking the question, "What can you do
  521. 17:15today that you couldn't do yesterday?"
  522. 17:17And the more that you use it for those
  523. 17:19things, you start going I You've watched
  524. 17:21my my Sunday video for a long time.
  525. 17:25I don't know if you noticed, but um
  526. 17:27I was using a a software OpenBB for a
  527. 17:29long time.
  528. 17:31And then all of a sudden OpenBB,
  529. 17:34you know, unfortunately, start a
  530. 17:35business, they close down.
  531. 17:38And I know the founder. And it was a sad
  532. 17:40day. I I really liked the guy. And I was
  533. 17:41using the software because at the
  534. 17:44beginning, when I started to do my
  535. 17:46video, which was in 2024, the AI
  536. 17:48capabilities could not really deal with
  537. 17:50it that well. And
  538. 17:52he kept making additions to it so that I
  539. 17:54could use it. So, from my side, it was
  540. 17:56it'll help him and his business by me
  541. 17:58using it as a product, showing charts in
  542. 18:01it and things like that.
  543. 18:04But I had to make a switch during the
  544. 18:05summertime. And this was like on a
  545. 18:07Wednesday. And I put this stuff together
  546. 18:09with inside OpenBB. So, I had to make a
  547. 18:11complete pivot.
  548. 18:13So, now I'm in a in a bind. So, I go to
  549. 18:17OpenAI and I ask the question. I ask
  550. 18:19ChatGPT,
  551. 18:20"Here's what I've been using. Here's a
  552. 18:22sample of the video. Here's the way I
  553. 18:24put it together. I need you to redo my
  554. 18:26process so that I can have a video done
  555. 18:29by the recording on Friday."
  556. 18:31That's 2 days for me to have to complete
  557. 18:33a completely new process to do something
  558. 18:36that takes a while. Um
  559. 18:40it took me through to use Google Slides.
  560. 18:42It Now, I'd never use Google Slides in
  561. 18:45like a big way. I'd only used it,
  562. 18:47let's say, five times in my life.
  563. 18:50But it told me it was the best way to do
  564. 18:52this for a variety of reasons that
  565. 18:53match, which in in hindsight was
  566. 18:54completely true.
  567. 18:57My process is now
  568. 18:59been reduced by 70%.
  569. 19:01>> Holy crap.
  570. 19:02>> Which is amazing, cuz that means I could
  571. 19:04put the entire thing together, do the
  572. 19:05video on one day
  573. 19:07in 4 hours is now my guess. And that is
  574. 19:10the thing that's happened is it's
  575. 19:13changed it. Claude co-work, because I
  576. 19:15had this whole database now of OpenBB
  577. 19:17slides, I connected to that folder
  578. 19:19knowing that it was going I uploaded
  579. 19:21everything from OpenBB, and now when
  580. 19:23[snorts] I need to find a slide that
  581. 19:24I've used in the past, I just go into
  582. 19:25co-work and go, "Can you find the slide
  583. 19:27on consumer agents and enterprise
  584. 19:29agents?" Which I did literally this
  585. 19:30morning, and it gives me the image. Like
  586. 19:33this kind of stuff you couldn't do 6
  587. 19:36months ago. And so by asking the
  588. 19:38question when a when a problem comes up,
  589. 19:41how do I solve this as opposed to
  590. 19:43panicking and then like, "What am I
  591. 19:44going to do?" And try to learn on your
  592. 19:46own,
  593. 19:47you have to have the instinct just know
  594. 19:49that AI has the solution always.
  595. 19:52>> So bringing this back to time,
  596. 19:54how much time do people have to to get
  597. 19:57on the train? And then tying it to the
  598. 19:59wall worry, too. How fast, I mean, you
  599. 20:01you said it's happening faster than we
  600. 20:03expected, but and humans can't
  601. 20:05understand
  602. 20:06exponentials. What what do you think the
  603. 20:08next year looks like? And
  604. 20:10what are the opportunity cost if you
  605. 20:11don't move?
  606. 20:12>> So let's let's break this down by what
  607. 20:15people care about each day. Um
  608. 20:18so number one, their job. I'm going to
  609. 20:21I'll leave health aside for a second
  610. 20:23because I don't think that has to do
  611. 20:25with this unless you want to go use it,
  612. 20:27but for your job, I don't think you have
  613. 20:29any more time. Um I think every company
  614. 20:32now realizes that they have to use AI
  615. 20:34agents and they can they can
  616. 20:37the law firm can pay for that.
  617. 20:40Maybe let's assume they had a certain
  618. 20:43amount of cash in the partnership.
  619. 20:45And the partners sat around, and I don't
  620. 20:47know what happened, but I'm just saying
  621. 20:49if I was at the place, this is what I
  622. 20:50do. I'd sit around and we go, "How much
  623. 20:52money do we have to buy all these GPUs
  624. 20:54and set this up?" Um if we make an
  625. 20:57investment based on the cash that we
  626. 20:58have plus what's coming over the next
  627. 21:00year, what is that going to do from a
  628. 21:02CapEx perspective? And since it's not a
  629. 21:04public company, they don't have share
  630. 21:05it's their partnership. They have to
  631. 21:07make the decisions. They go this is a
  632. 21:08good investment. How are we going to pay
  633. 21:10for it?
  634. 21:11You don't think they're going to pay for
  635. 21:12it with human beings? Like literally the
  636. 21:14compensation they have and maybe it's
  637. 21:16not from firing people but maybe it's
  638. 21:18not hiring people over the next 5 years
  639. 21:20cuz they won't need them.
  640. 21:21Maybe it's combination of both.
  641. 21:23You have to understand that with agents
  642. 21:27comes competition for human employees.
  643. 21:29So if you don't want to be one of the
  644. 21:32people that's let go. If you want to
  645. 21:35empower yourself to go build your own
  646. 21:37business to compete with that firm
  647. 21:39because you don't have the issue they
  648. 21:41have you can actually just use the
  649. 21:42public thing and grow your business and
  650. 21:44be a a lawyer. You have your your law
  651. 21:46degree. Just go be a lawyer and serve me
  652. 21:48Jordy. I need I always need a lawyer to
  653. 21:50help me with my business.
  654. 21:52Um empower yourself to feel that you can
  655. 21:54be an entrepreneur and you can compete
  656. 21:55with them
  657. 21:56before they get rid of you. And the way
  658. 21:58to do that is to use it. So I think
  659. 22:00within the next year if you haven't done
  660. 22:02the usage side the agency side the
  661. 22:04empowerment side I think you're in
  662. 22:05trouble. From the investment side and
  663. 22:07the financial side which is the other
  664. 22:08thing I try to focus on
  665. 22:11you have to understand that if you're
  666. 22:12[clears throat] worried about AI
  667. 22:15you're probably also one of the ones not
  668. 22:17using it. There's a high correlation
  669. 22:19between I'm worried about this being a
  670. 22:21bubble it's going to hurt my investment
  671. 22:22portfolio and I'm not using it because I
  672. 22:24don't believe in it. That is the denial
  673. 22:27that people have and I think on the
  674. 22:29investment side you're losing money
  675. 22:30every day. The stock market not
  676. 22:32investing in it. I don't know what
  677. 22:33you're doing with your money. I you
  678. 22:34think it's a bubble you're reducing it
  679. 22:36you've got it safe.
  680. 22:37You can make more money investing in the
  681. 22:39things that represent what it's going to
  682. 22:41look like. The infrastructure build out
  683. 22:42is going to continue. We need compute.
  684. 22:44That's the reason why like I focus
  685. 22:46people on that side.
  686. 22:48Crypto. Do your homework now on crypto.
  687. 22:50I view this as the beginning of an epic
  688. 22:53move in crypto [snorts] because the
  689. 22:55guardrails
  690. 22:56are valued at zero.
  691. 22:58And I hate to say that to everyone but
  692. 23:00the people supplying the guard rails are
  693. 23:03valued at zero. And the reason I know
  694. 23:05that is cuz if you take Ethereum and
  695. 23:07Bitcoin out of
  696. 23:09the crypto market cap, you're not left
  697. 23:11with a lot. It's less than Micron. It's
  698. 23:13less like that is the infrastructure
  699. 23:14side. Now, I do believe that Ethereum
  700. 23:16fits the ecosystem, but not in this
  701. 23:19speculative phase where we need the apps
  702. 23:21being built on top of Ethereum. And so,
  703. 23:23all of these layer twos, the the sum of
  704. 23:25them is going to go up in value because
  705. 23:27the velocity and the GDP the velocity
  706. 23:30and the volume of transactions is going
  707. 23:32to go through the roof. So, if
  708. 23:33everything that I just said on the work
  709. 23:35side, you don't use it, you're in
  710. 23:36trouble. On the investment side, if you
  711. 23:38don't understand or believe in crypto at
  712. 23:39this point,
  713. 23:41so you don't believe in AI or crypto.
  714. 23:43That's a very dangerous place to be,
  715. 23:45folks.
  716. 23:46>> And a lot of people are in that
  717. 23:47position.
  718. 23:47>> Yeah, most are. That's the scary thing.
  719. 23:50Most are.
  720. 23:50>> Yeah. And it's uh so let's let's walk
  721. 23:52through how
  722. 23:54the order of operations of how you see
  723. 23:56this agentic economy getting imbued with
  724. 24:00agency to a higher degree with
  725. 24:04digital money and smart contracts,
  726. 24:07whatever it may be. Cuz that's uh
  727. 24:09that's one thing I've been asking
  728. 24:10myself. Cuz you you mentioned crypto and
  729. 24:12you have a bunch of different tokens and
  730. 24:15each of them have a a market cap.
  731. 24:18And
  732. 24:21will that's the question like will
  733. 24:23stable coins win out? I've fallen in the
  734. 24:25Bitcoiner camp. So, I I'm a believer
  735. 24:27that at the end of the day, if you're an
  736. 24:29agent or human, you're going to want
  737. 24:32the the most saleable
  738. 24:34currency with the biggest market cap
  739. 24:37with the the best money in the digital
  740. 24:39economy. So, I think that's Bitcoin. To
  741. 24:41your point about L2s
  742. 24:43uh and things like that, it's pretty
  743. 24:45clear out of the gate stable coins are
  744. 24:46winning the the agentic commerce stuff
  745. 24:49in the in the very early days. But I
  746. 24:50wonder, again, going back to what I was
  747. 24:52saying earlier,
  748. 24:54do agents prefer Bitcoin?
  749. 24:56Um
  750. 24:57and
  751. 24:58does the Bitcoin stack have the
  752. 25:01necessary infrastructure to facilitate
  753. 25:03everything that agents are going to want
  754. 25:05to do, particularly on the payment side?
  755. 25:07>> There's no way. So, um, and again, I I'm
  756. 25:10I'm a I have a very unique position on
  757. 25:13this. This is why I love
  758. 25:15watching the fight between the
  759. 25:16Bitcoiners and the programmables. And I
  760. 25:18want them to try to bucket me.
  761. 25:20Cuz I'm a
  762. 25:23in the long run
  763. 25:26a Bitcoin maxi.
  764. 25:28But, the path to that point, and what I
  765. 25:31mean by that is, in the end
  766. 25:34there is only one thing left that I can
  767. 25:38say with certainty will not be have
  768. 25:41their growth disrupted.
  769. 25:43So, at the end of the day, all tokens
  770. 25:45going up in value, anything you can buy
  771. 25:47as an individual investor is about
  772. 25:49growth. Everything.
  773. 25:51There are a lot of assumptions that come
  774. 25:53with growth.
  775. 25:55One of them is com- I mean, the main one
  776. 25:57is, how quickly will competition come in
  777. 25:59to destroy my growth?
  778. 26:02In a world where AI allows things to be
  779. 26:04instantly replicated
  780. 26:08that time goes to zero.
  781. 26:10So, if you agree with me that any
  782. 26:12innovation
  783. 26:14has a lifespan that is far shorter than
  784. 26:16it used to be. It's all with Jeff.
  785. 26:18You're you're you're in a very difficult
  786. 26:20position because the innovator's dilemma
  787. 26:23is, okay, I want to create something.
  788. 26:25This is a great idea. Let me create it.
  789. 26:26Let me hope that there's not 8,000 other
  790. 26:28people doing the same idea at the same
  791. 26:30time because we all know then there's
  792. 26:32not a lot of growth. It's all about
  793. 26:34competition. And my belief is that with
  794. 26:36billions of entrepreneurs and trillions
  795. 26:38of agents all working together over the
  796. 26:41course of the next decade that we will
  797. 26:43get to creative destruction, Joseph
  798. 26:45Schumpeter style, that is instantaneous.
  799. 26:48So, at the end of the day, things will
  800. 26:49grow, but who wins in that case? The
  801. 26:52entrepreneur wins if they create
  802. 26:54something and they have a community and
  803. 26:55that token goes from 100 to 1,000.
  804. 26:58Then it's still 1,000 for the rest of
  805. 27:01time.
  806. 27:02Well, it's kind of like Ford
  807. 27:04stock. So, if everything hits that
  808. 27:06point, why did Ford stock stop growing?
  809. 27:08Because of competition eventually. Um
  810. 27:11there was a better way to make cars as
  811. 27:12we found out from Tesla and other
  812. 27:14things. So, if you go from 10 to 1,000
  813. 27:18>> [clears throat]
  814. 27:18>> and it takes 1 year, but it never grows
  815. 27:20again, who wins?
  816. 27:22Only the entrepreneur and the community.
  817. 27:24That's it. And And again, that's all
  818. 27:26that happened for that period of time.
  819. 27:28But then it stops growing and then what
  820. 27:29does everyone go? Well, I got to go find
  821. 27:31something else to invest in. And this
  822. 27:32just keeps happening and happening and
  823. 27:34happening. Bitcoin to me is the place
  824. 27:37when that investment stops growing and
  825. 27:38you have to go find the next investment,
  826. 27:41money goes there. If you've invested in
  827. 27:43something you're worried cuz it could go
  828. 27:45down in value, too. They might Everyone
  829. 27:46might leave and then all of a sudden it
  830. 27:48goes down. Where does your money go?
  831. 27:50Well, your money goes to something
  832. 27:51safer. That's what happens in the S&P
  833. 27:53500. People invest in companies. All
  834. 27:56people do.
  835. 27:58But if you ask them where most of their
  836. 27:59money is, it's not 90% is in Tesla
  837. 28:01unless they work for the company and
  838. 28:02they don't have a choice in their owning
  839. 28:04this. Most of their value is in moving
  840. 28:07it into a combination of 60/40 and all
  841. 28:09these different things. Well, that is
  842. 28:10Bitcoin to me. A store of value is the
  843. 28:13diversification you have in your life.
  844. 28:14It's your real estate, it's your bonds,
  845. 28:16it's your stocks, it's your private
  846. 28:17credits. All these things that the
  847. 28:18wealth managers put into.
  848. 28:20A decade from now Bitcoin will be the
  849. 28:22only thing left. So, that's the first
  850. 28:23thing I want to say is I I I do believe
  851. 28:25in that. In terms of the the L2s, I'm
  852. 28:28focused on two things right now.
  853. 28:31And I'll give two companies that are
  854. 28:33straddling the the
  855. 28:36the TradFi world and the crypto world.
  856. 28:39So, that everyone can just take these
  857. 28:41two companies and do the research.
  858. 28:42Stripe and Robinhood. Those are two that
  859. 28:44matter. Stripe from a stablecoin basis.
  860. 28:46They're a transaction-based company.
  861. 28:49Um if you go through their stack of
  862. 28:51companies that they've invested in
  863. 28:52starting with Bridge
  864. 28:54and going through to the end now with
  865. 28:56Open Router.
  866. 28:59Pretty straightforward. Like they're set
  867. 29:01up for the agentic side, they're set up
  868. 29:03for the stable coin side. And this was a
  869. 29:04company that honestly was not a believer
  870. 29:07in crypto when you really go back. They
  871. 29:09didn't have a focus on it until the
  872. 29:11Bridge
  873. 29:11>> Mhm.
  874. 29:12>> M&A deal. And I think that closed in
  875. 29:15February of 2025. I think we heard about
  876. 29:17it in October of 2024.
  877. 29:19That's a big admission that stable coins
  878. 29:22are going to be a big part of the
  879. 29:22transition side and they're a company
  880. 29:24that's straddling both worlds.
  881. 29:26>> And the premium they paid for they yeah,
  882. 29:28valued Bridge at what? A billion dollars
  883. 29:29on 10 million in revenue.
  884. 29:30>> Yep.
  885. 29:31>> But it's so you you had to imagine
  886. 29:33internally they had an aha moment or
  887. 29:35like, "Okay, we're going to overpay for
  888. 29:36this."
  889. 29:36>> on both sides. The Bridge I mean, to
  890. 29:39have a deal that comes that high, Bridge
  891. 29:41had no revenues. They had I think the
  892. 29:43company had been around for less than 2
  893. 29:45years.
  894. 29:46>> Mhm.
  895. 29:46>> So when you go through the details of it
  896. 29:48and you're like
  897. 29:50they were they they negotiated a great
  898. 29:52deal cuz they believed in it. Stripe
  899. 29:54believed in it.
  900. 29:56You end up with Open Router at this
  901. 29:58point. Like why is Stripe getting
  902. 29:59involved in Open Router? Why were they
  903. 30:00trying to buy PayPal? Like think about
  904. 30:02all the things Stripe They're going
  905. 30:03through the entire stack of how stable
  906. 30:05coins fit into this.
  907. 30:07And that's the agentic side. So that's
  908. 30:09one side. And then the Robinhood side is
  909. 30:11tokenization. And tokenization is huge.
  910. 30:14It has huge implications. There is
  911. 30:16nothing more important to Bitcoin and to
  912. 30:19the programmable. So the Bitcoiners and
  913. 30:21the programmables need to just
  914. 30:22understand.
  915. 30:23Tokenization is the key thing because
  916. 30:26tokenization unleashes the 900
  917. 30:29trillion dollars in two ways.
  918. 30:32I wrote a paper this week.
  919. 30:35You you will not have seen it, but this
  920. 30:37weekend I'll I'll
  921. 30:39I'll go through it. Um
  922. 30:42it's really a call out to economists.
  923. 30:43So, for everyone who thinks they know
  924. 30:45how economics run, if I said to
  925. 30:47everyone, and this is 99.99% of people
  926. 30:50on the planet. This is my own unique
  927. 30:52I've never seen this written anywhere.
  928. 30:53This is a new thing.
  929. 30:54Um
  930. 30:57how do we stop assets from falling? We
  931. 31:00know the fiat system is a Ponzi scheme.
  932. 31:02We know it's levered. We know there's
  933. 31:03about 120 trillion of physical hard
  934. 31:07currency in the world that supports 900
  935. 31:09trillion in assets. That is a levered
  936. 31:11Ponzi scheme. Okay, meaning if all of a
  937. 31:14sudden the 900 trillion tries to come
  938. 31:16and get liquid, so they go to sell in
  939. 31:19their money to pay off debts, whatever
  940. 31:20it is, and we have a version of the
  941. 31:22Great Depression or a mini version of
  942. 31:23the Great Financial Crisis or even
  943. 31:25COVID, then all the assets fall, and
  944. 31:27what do the central banks have to do?
  945. 31:29They have to come in and print money.
  946. 31:31And what is money? Well, that's M2. Why
  947. 31:33do they have to do that? They have to
  948. 31:34re-liquidify. So, whenever I hear people
  949. 31:37in crypto talk about the liquidity
  950. 31:38cycle, I'm always sitting there going,
  951. 31:40"When am I going to get my chance to
  952. 31:41explain to them that that is a myth."
  953. 31:43That is when you're in the speculative
  954. 31:45phase of crypto. So, for everyone out
  955. 31:47there it's like it's a liquidity cycle,
  956. 31:48of which almost every Bitcoiner is and
  957. 31:50almost every person out there. We need
  958. 31:52this. We need the ism to go. We need all
  959. 31:54these things to happen.
  960. 31:56The reality is for me,
  961. 31:58we're about to unleash the 900 trillion
  962. 32:00in liquid form. That's what tokenization
  963. 32:01is.
  964. 32:02What happens to M2?
  965. 32:05The Ponzi scheme then ends cuz now you
  966. 32:07have 900 trillion dollars of assets that
  967. 32:11can theoretically buy a coffee.
  968. 32:13So, nobody needs to sell during these
  969. 32:15little mini panics because
  970. 32:17they already have cash. The reason they
  971. 32:19were selling their assets is cuz they
  972. 32:21needed cash. Well, now they can post
  973. 32:23that money or transact that money into
  974. 32:26whatever debt they have. The world
  975. 32:28changes overnight because tokenization
  976. 32:31increases the M2 in a very different
  977. 32:33form. Now, is it as liquid as Bitcoin?
  978. 32:35No.
  979. 32:36But, can you transfer at some price a
  980. 32:38house instantaneously
  981. 32:41into this? Yeah, pretty close. I know
  982. 32:43this. It's not going to take a lot of
  983. 32:45time.
  984. 32:46>> Mhm.
  985. 32:46>> So that's where the tokenization side
  986. 32:48has a huge impact. So what Vlad and
  987. 32:50Robinhood and others, but Vlad in
  988. 32:53particular
  989. 32:54with the Robinhood chain, this is all
  990. 32:56preparation for what's going to happen
  991. 32:58with tokenization. So those are L2s,
  992. 33:01which again
  993. 33:02increase the 900 trillion to come into
  994. 33:05Bitcoin.
  995. 33:06It wasn't going to happen without the
  996. 33:08programmables. So for every Bitcoiner
  997. 33:10who thought eventually these incumbents
  998. 33:13as Michael Saylor said, which I agree
  999. 33:14with.
  1000. 33:16You don't find Bitcoin, Bitcoin finds
  1001. 33:18you. If you're wealthy, you don't need
  1002. 33:20Bitcoin. You don't need to believe in
  1003. 33:21it. And so that money needs to come over
  1004. 33:23to drive it to a million dollars. Sorry
  1005. 33:25everyone, but that's what needs to
  1006. 33:26happen. That's what happened with gold.
  1007. 33:28Whenever there's a panic, people move
  1008. 33:29into gold to hide their money. They need
  1009. 33:31to believe their fiat assets are not
  1010. 33:33going to work, but that group already
  1011. 33:34believes in gold. You need them to
  1012. 33:36believe in this in this whole we're
  1013. 33:37going to give the money to our kids and
  1014. 33:39they're going to do a thing that's going
  1015. 33:40to take too long, especially in the
  1016. 33:41world I believe in where nobody dies.
  1017. 33:42You don't want that to be the thing. You
  1018. 33:44actually want the money to move over
  1019. 33:45there because of greed. And that means
  1020. 33:47that the fiat assets become liquid and
  1021. 33:51everyone goes, "Hey wait, this private
  1022. 33:52credit fund I have that I can't get out
  1023. 33:53of? It's now liquid? It's just at a 20%
  1024. 33:56discount? Do you know how many people
  1025. 33:57would sign up right now for their pri-
  1026. 33:59to get their money back in private
  1027. 34:00credit? How many retail people would
  1028. 34:03want their money back and say, "I'm
  1029. 34:04never doing this again. Give it to me."
  1030. 34:07That's what's going to happen with
  1031. 34:08tokenization.
  1032. 34:09>> Yeah, you're just running the calculus.
  1033. 34:10Okay, if I take a 20% haircut and put it
  1034. 34:13in Bitcoin, is Bitcoin going to go up
  1035. 34:14100%?
  1036. 34:16>> So freaks, this rip was brought to you
  1037. 34:18by our good friends the Bitcoin team at
  1038. 34:20Block. Bitcoin at Block. Bitcoin was
  1039. 34:21originally introduced as a peer-to-peer
  1040. 34:23electronic cash system. We all know
  1041. 34:24that. The idea wasn't just to buy and
  1042. 34:25hold. It's to use Bitcoin in many
  1043. 34:27different facets. Holding is one facet,
  1044. 34:29spending, receiving is another facet.
  1045. 34:31And we're working towards this for 17
  1046. 34:32years and Block has put together a whole
  1047. 34:34ecosystem of companies to really bring
  1048. 34:36about the the reality of Bitcoin as
  1049. 34:37everyday money. So, with Cash App, you
  1050. 34:39can buy, spend, send, receive, earn, get
  1051. 34:42paid in Bitcoin. Uh when you're trading
  1052. 34:44over $2,000, you're not going to pay any
  1053. 34:46fees on that. So, then there's Square,
  1054. 34:48which is helping bring Bitcoin into
  1055. 34:49real-world commerce. Eligible businesses
  1056. 34:51can accept Bitcoin payments over
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  1058. 34:540% processing fees. Customers can pay
  1059. 34:56with Bitcoin or even dollars over
  1060. 34:57Lightning through Cash App. It'll help
  1061. 34:59local businesses keep more of every
  1062. 35:00sale. It's making Bitcoin payments feel
  1063. 35:01as easy as tapping a card. And when
  1064. 35:03you're ready to hold Bitcoin, there's
  1065. 35:05Bitkey. It's a Bitcoin wallet built for
  1066. 35:06real life. No seed phrases, 2 of 3
  1067. 35:09multi-sig, so no single points of
  1068. 35:10failure. Uh it has recovery and
  1069. 35:12inheritance uh processes and and
  1070. 35:14capabilities built in. And the new
  1071. 35:15Bitkey device includes a screen, so you
  1072. 35:17can verify important actions directly on
  1073. 35:19the device before approving them. So,
  1074. 35:20you know exactly what you're
  1075. 35:21authorizing. So, together, Cash App,
  1076. 35:22Square, and Bitkey are helping make
  1077. 35:23Bitcoin easier to earn, save, spend, and
  1078. 35:25secure. It's a simple idea. Bitcoin
  1079. 35:27works when people can actually use it in
  1080. 35:28the way that they want. That's Bitcoin
  1081. 35:30at Block.
  1082. 35:31What's up, freaks? This episode is
  1083. 35:32brought to you by Simple Mining. I'm
  1084. 35:34sure many of you listening to this right
  1085. 35:35now own Bitcoin and own it the same way.
  1086. 35:38You go to an exchange, you buy it, sweep
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  1088. 35:41the exchange, and you pay full price.
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  1133. 36:56That's simplemining.io/tftc.
  1134. 37:01>> I was
  1135. 37:03for a while
  1136. 37:04like a real-world tech
  1137. 37:06asset tokenization
  1138. 37:09bear. Never really made sense to me, but
  1139. 37:11then
  1140. 37:12uh
  1141. 37:13you think of stocks and how that's all
  1142. 37:15settled through the DTCC and it's like,
  1143. 37:17"Okay, the the guardrails
  1144. 37:19um of
  1145. 37:21these these digital assets
  1146. 37:23make a lot more sense for this. It makes
  1147. 37:25it way more
  1148. 37:26efficient and
  1149. 37:28the as we're going through this
  1150. 37:29discussion, the one question I have,
  1151. 37:31whether it's the Schumpeter's creative
  1152. 37:33destruction happening instantaneously or
  1153. 37:36the ability to
  1154. 37:38uh get liquidity for for
  1155. 37:40>> Before you get off of that, I just want
  1156. 37:41to make sure that people
  1157. 37:43since you you didn't see how RWAs would
  1158. 37:46work in this
  1159. 37:48I just want you to use the house
  1160. 37:49example. Do you own a house?
  1161. 37:51>> Yes.
  1162. 37:52>> Okay.
  1163. 37:53So, when you buy a house, that process
  1164. 37:56is painful and it's long.
  1165. 37:58>> Mhm.
  1166. 38:00>> Once you have it, if your house goes up
  1167. 38:02and doubles in value over the next 6
  1168. 38:04months
  1169. 38:05and you have tremendous equity, which is
  1170. 38:07where most of the country, people right
  1171. 38:09now are trapped in their homes.
  1172. 38:11They're trapped.
  1173. 38:12>> Mhm.
  1174. 38:12>> Why are they trapped? Because they don't
  1175. 38:14want to have to reset their mortgage at
  1176. 38:15higher levels. I don't understand how
  1177. 38:17people don't realize that the speed of
  1178. 38:20buying a house or selling a house. If
  1179. 38:22you want to sell that house,
  1180. 38:25what better way to sell it than to open
  1181. 38:27it up to all 8 billion people on the
  1182. 38:29planet to buy it? Like, I don't that
  1183. 38:32that's there. Why wouldn't you want to
  1184. 38:33sell a house and have it sold in a
  1185. 38:35matter of minutes as opposed to the
  1186. 38:37process that goes on? And people don't
  1187. 38:39believe a house can sell in a minute.
  1188. 38:41Once our digital agents are there and AI
  1189. 38:43agents do all of the paperwork and
  1190. 38:45everything there and they have all the
  1191. 38:46background check and you're identified
  1192. 38:48based on your credit and your collateral
  1193. 38:49and it's all liquid, it's all on chain,
  1194. 38:52everything goes immediate. So, that
  1195. 38:55might take another decade, whatever the
  1196. 38:56case is. But, when you're investing in
  1197. 38:58something, and I'll use the stupid
  1198. 39:01comment that Jason Calacanis made on,
  1199. 39:03you know, dead cat bounce in Bitcoin and
  1200. 39:05this will never
  1201. 39:06I I literally can't believe that people
  1202. 39:08don't realize that by the time you
  1203. 39:09invest in something that is obvious,
  1204. 39:13the value has gone up 50 times.
  1205. 39:16>> [snorts]
  1206. 39:16>> You can only invest in things when
  1207. 39:18they're not obvious. What I'm talking
  1208. 39:20about right now to someone who believes
  1209. 39:22in crypto but didn't it see the value
  1210. 39:25that tokenization RA's would RWAs would
  1211. 39:28bring.
  1212. 39:29If one person does it and says, "I sold
  1213. 39:31my house in a matter of minutes for
  1214. 39:33higher price than you did. I had 8
  1215. 39:35billion bids on it."
  1216. 39:37That will change everyone doing it. So,
  1217. 39:39again, it'll speed it up because money
  1218. 39:41makes people do things. Cost reduction
  1219. 39:43makes people do things. But, being
  1220. 39:45trapped in your house with that owner's
  1221. 39:47equity right now, not able to get out,
  1222. 39:49everyone would sign up for RWAs right
  1223. 39:50now.
  1224. 39:52>> So, in that example, somebody has to
  1225. 39:53live in the house. But, when you say
  1226. 39:54that, you're basically just selling an
  1227. 39:56equity portion or or getting a HELOC
  1228. 39:58essentially to get cash.
  1229. 39:59>> you want to still be in there, you're
  1230. 40:00able to get cash for it by just
  1231. 40:03Wait, it And it goes further than that.
  1232. 40:05If you're a a small business that
  1233. 40:07is in a And I have a friend who's in
  1234. 40:09this situation. So, he has a business he
  1235. 40:11bought in on Long Island. Are you from
  1236. 40:14No, you're not from Long Island.
  1237. 40:15>> From Philly.
  1238. 40:16>> Philly, yeah, I forgot.
  1239. 40:17>> I know you're a Philly Giants. I know it
  1240. 40:18was a hard night last
  1241. 40:19>> No, no, no. I'm a Jets fan. It was a
  1242. 40:20hard night on Sunday.
  1243. 40:22>> [laughter]
  1244. 40:23>> It's been a hard life. Uh but I'm done.
  1245. 40:25Knicks won, so I don't really care. Uh
  1246. 40:29Sixers will get there at some point.
  1247. 40:30This will be the most disappointing year
  1248. 40:31ever. You have everything coming in. So,
  1249. 40:33this will be a very disappointing year.
  1250. 40:35So, let's go back to the equation.
  1251. 40:36[laughter] My friend owns a uh beverage
  1252. 40:38business that he bought a long time ago.
  1253. 40:41I don't know if you've heard, but kids
  1254. 40:42don't drink beer. He's not allowed to
  1255. 40:44sell liquor. It's like a horrible
  1256. 40:46situation. We were just talking about
  1257. 40:47it. So, let's assume his business is
  1258. 40:49bringing in very little cash.
  1259. 40:52But at same time, he has a value of real
  1260. 40:54estate that's worth
  1261. 40:56$5 million. So, $5 million.
  1262. 40:57So, his revenues have gone down. He's
  1263. 40:59trying to make payments cuz he has a
  1264. 41:01belief that the business is going to
  1265. 41:02grow again, and he's going to be able to
  1266. 41:04sell something else cuz he has a license
  1267. 41:06that starts in a year, but he doesn't
  1268. 41:07have the money to keep going.
  1269. 41:09So, either he has to go out and borrow
  1270. 41:11money, and the banks are going to be
  1271. 41:12like, "Well,
  1272. 41:14you don't have any revenue that's coming
  1273. 41:15in. Like, they're really down. Like, we
  1274. 41:17can't invest in this business." Or
  1275. 41:20he could just quickly go in and go, "I
  1276. 41:21just need money for the next 6 months,
  1277. 41:23so I want to sell off a piece of the
  1278. 41:25business.
  1279. 41:26Token, you know, I want to sell off a
  1280. 41:28piece of it. He can come back and buy it
  1281. 41:29in 6 months until the revenue comes in."
  1282. 41:32So, everything happens in a different
  1283. 41:34form. And again, when you want to go
  1284. 41:35borrow the money, you have to leave your
  1285. 41:37your business. You have to go out go to
  1286. 41:39the banks. You have to go sell them on
  1287. 41:40this. You have to prepare all these
  1288. 41:42documents. You have to go to seven
  1289. 41:43different banks. This is all done via
  1290. 41:46crypto. So, to me, because it's
  1291. 41:48programmable and because agents can do
  1292. 41:50all the work, that's where it becomes a
  1293. 41:52line. Without crypto, agents can't
  1294. 41:54replace that function.
  1295. 41:56>> Mhm.
  1296. 41:56>> That's the part that becomes important
  1297. 41:58in this whole thing. Without agents,
  1298. 42:01the human would not couldn't use the
  1299. 42:02crypto.
  1300. 42:03>> coordinate.
  1301. 42:03>> Exactly. So, agents change the whole
  1302. 42:06mechanism.
  1303. 42:07>> Yeah.
  1304. 42:08Now, I'm thinking of uh just pure
  1305. 42:09Bitcoin collateralized loans as the like
  1306. 42:12the the nation
  1307. 42:14example of this like the ability for me
  1308. 42:15to get a strike
  1309. 42:17post Bitcoin get cash get to my bank
  1310. 42:19account within literally minutes
  1311. 42:22incredibly valuable stuff
  1312. 42:23>> and and that's the way it'll be is
  1313. 42:25everything becomes liquid and you go
  1314. 42:26through some things will be more liquid
  1315. 42:27than other things in the case of the
  1316. 42:29real estate maybe it takes a day to go
  1317. 42:30through this but that's better than
  1318. 42:3360 days it's better than having a vig on
  1319. 42:35it to where you got to pay all this
  1320. 42:36stuff there's a whole bunch of different
  1321. 42:37ways where you're monetizing something
  1322. 42:39that's already worked out
  1323. 42:40>> then you have the agents construct the
  1324. 42:41strategy for
  1325. 42:42the best way to like manage leverage and
  1326. 42:45payback period look at your like all
  1327. 42:47right here's the best solution for you
  1328. 42:48considering your current state
  1329. 42:50>> the the the analogy for everyone to
  1330. 42:52recognize is
  1331. 42:55Uber can't work without the smartphone
  1332. 42:58Uber can't work without the app store
  1333. 43:01you can't carry a laptop around and be
  1334. 43:04doing like you needed to have
  1335. 43:07the phone
  1336. 43:08agents are the use case for connecting
  1337. 43:11to humans so the problem is people don't
  1338. 43:13think of agents the same way they think
  1339. 43:14of apps that's why
  1340. 43:16you know this concept of L2s is very
  1341. 43:19similar to the taxi side like there were
  1342. 43:22already taxis why do we need Uber
  1343. 43:25and the question is everyone should ask
  1344. 43:26why do we need Uber well initially it
  1345. 43:28was cheaper significantly cheaper
  1346. 43:30eventually they merged together and the
  1347. 43:32cost of Uber went up okay why did the
  1348. 43:35cost go up what happened was it
  1349. 43:36regulation was it the business what it
  1350. 43:38whatever the case was
  1351. 43:41the agents are
  1352. 43:43the facing side between the humans
  1353. 43:46and the end transactions that go on so
  1354. 43:48whether it's stable coins or whether
  1355. 43:49it's tokenization they need agents to be
  1356. 43:51able to do this cuz humans were never
  1357. 43:52going to be able to get on in wallets
  1358. 43:54that's the thing I think everyone in
  1359. 43:56crypto underestimated which I still say
  1360. 43:58publicly is is is an issue that can only
  1361. 44:00be solved by agents
  1362. 44:02it's not easy to set up all these
  1363. 44:04wallets it's not easy to go in there and
  1364. 44:06just create them and I guess the side
  1365. 44:08that's good is I'd rather it be
  1366. 44:10difficult because it also means there's
  1367. 44:12a lot of guardrails that are in there to
  1368. 44:14protect privacy and to make it difficult
  1369. 44:16for hacking is and the more hackings
  1370. 44:18that happen, which are happening a lot
  1371. 44:19more, I think you start pricing out the
  1372. 44:21weaker wallets and the agents know not
  1373. 44:24to go to them. So then the agents end up
  1374. 44:26with the better ones. You have to
  1375. 44:27understand like the agents are the ones
  1376. 44:28that reduce the hackings and reduce the
  1377. 44:31vulnerabilities by knowing which ones
  1378. 44:33have already done and when they start
  1379. 44:34making the decision, you start having
  1380. 44:36less problems, too.
  1381. 44:38>> Yeah, there was a a bit that I was at a
  1382. 44:40developer meeting here
  1383. 44:41uh meet up here last night and that was
  1384. 44:44obviously in Bitcoin. I think Bitcoin is
  1385. 44:46the the ecosystem has been the first
  1386. 44:48target of AI uh
  1387. 44:50initiated hackings uh and
  1388. 44:54there's all the lot about it.
  1389. 44:55>> Yeah.
  1390. 44:56>> I mean it's been cuz you had Rob
  1391. 44:58Hamilton from AnchorWatch who basically
  1392. 45:01with a
  1393. 45:02a group of other developers when
  1394. 45:05the Coldcard wallet had an entry bug
  1395. 45:07that was being exploited by AI
  1396. 45:10um AI attacks, they said, "Okay, if this
  1397. 45:13is happening to Coldcard, which many
  1398. 45:14people thought, myself included, was the
  1399. 45:17sort of
  1400. 45:18gold standard of of Bitcoin hardware
  1401. 45:20wallets." It's like, "Who else can this
  1402. 45:21happen to?" So they basically set up a
  1403. 45:23created a harness
  1404. 45:25to go inspect the code of every Bitcoin
  1405. 45:27project that they could find a GitHub
  1406. 45:29for and found hundreds of
  1407. 45:32>> [snorts]
  1408. 45:32>> of vulnerabilities within within days
  1409. 45:35and
  1410. 45:36responsibly disclosed to many of the
  1411. 45:38projects. They were patched. Point being
  1412. 45:39is we're at we're still at the early
  1413. 45:41stage where
  1414. 45:43humans are fallible.
  1415. 45:45Humans we're finding out in Bitcoin
  1416. 45:47because Bitcoin's the first easy target
  1417. 45:48cuz it's bare asset, if you get it, it's
  1418. 45:51hard to get back.
  1419. 45:52Um
  1420. 45:54and we're hardening the Bitcoin
  1421. 45:55ecosystem right now because of that. And
  1422. 45:57many projects did get hacked over the
  1423. 45:59last 6 weeks, but many others found
  1424. 46:02critical vulnerabilities first, patched
  1425. 46:04them, and the the system overall has
  1426. 46:07been more robust. We're in this window
  1427. 46:08where the pain is extremely
  1428. 46:11uh extremely hard uh extremely painful,
  1429. 46:14but I think a year from now the
  1430. 46:16ecosystem will be more robust and secure
  1431. 46:18than than ever has been because of this.
  1432. 46:20And it's funny the agents are are doing
  1433. 46:22the work of inspecting the code bases
  1434. 46:24uh
  1435. 46:25presenting patches and and helping to
  1436. 46:27secure all this.
  1437. 46:29But going back
  1438. 46:31to
  1439. 46:34rate of destruction
  1440. 46:35you're going to have
  1441. 46:37incredible liquidity you can
  1442. 46:39happen to a market of 8 billion people
  1443. 46:41to sell assets whenever. How do you have
  1444. 46:43stability in this world? Like what does
  1445. 46:44stability look like
  1446. 46:46uh when all this is going on?
  1447. 46:49Is it the way you describe it I'm like,
  1448. 46:51all right, it sounds awesome, but it
  1449. 46:52also seems discombobulating.
  1450. 46:55>> Um I I think this is the human tendency.
  1451. 46:58Um if I asked you when's the last time
  1452. 46:59things were stable?
  1453. 47:01>> [laughter]
  1454. 47:02>> Um you know when they were for everyone?
  1455. 47:04It was when you were a kid.
  1456. 47:06And it's cuz you didn't know any better.
  1457. 47:08Um you have more to lose when you get
  1458. 47:10older. You are getting closer to death.
  1459. 47:12Psychologically you you're on a journey
  1460. 47:14and you have kids or you're thinking
  1461. 47:16about having kids and
  1462. 47:18uh as someone who has four, I can just
  1463. 47:22tell you
  1464. 47:24when my first child was born
  1465. 47:27uh
  1466. 47:28I I went from feeling indestructible.
  1467. 47:31Like I I don't care about death. Like
  1468. 47:34I'm not frightened by dying. When I die,
  1469. 47:37hopefully I've lived a good life. I I
  1470. 47:38can only control what I can and so I try
  1471. 47:41to be in shape. I try to eat well. I try
  1472. 47:43to work out. I try to surround myself
  1473. 47:45with people who bring me joy. All these
  1474. 47:46different things that I've learned over
  1475. 47:47life, but when you have that first child
  1476. 47:51you're vulnerable because now your job
  1477. 47:53is to protect that child and it's an
  1478. 47:55instinct that has clearly been handed
  1479. 47:57down biologically to where and I
  1480. 47:59remember feeling it like I drove home
  1481. 48:01from the hospital and I was all of a
  1482. 48:02sudden I was someone who never worried
  1483. 48:04about driving. I was like, "Someone's
  1484. 48:05going to hit me." I got on a plane. I
  1485. 48:06was worried about the the plane
  1486. 48:07crashing. Like these instincts start to
  1487. 48:10hit you. So, I think it's normal for
  1488. 48:12people to question how
  1489. 48:15change is going to not be
  1490. 48:17disruptive. Uh and I don't think humans
  1491. 48:20can possibly be in a world where they
  1492. 48:22all agree. I do believe that when you
  1493. 48:24watch Star Trek in these sci-fi things,
  1494. 48:27the number one take out of the future is
  1495. 48:28that we're still fighting wars and we're
  1496. 48:30still battling for things. We're just
  1497. 48:33changing on this. I think that's an
  1498. 48:35animal instinct that goes on in every
  1499. 48:37single place and people do it
  1500. 48:39for reasons that we can't have. So, it's
  1501. 48:41never going to be stable, my friend.
  1502. 48:43>> [laughter]
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  1576. 51:08>> Yeah, the pace of the the volatility
  1577. 51:10seems be increasing. And bringing this
  1578. 51:12back to
  1579. 51:13the beginning of um the beginning of the
  1580. 51:15conversation, we were mentioning the
  1581. 51:16slowdown. That's one thing I forgot to
  1582. 51:18bring up, but
  1583. 51:20the administration and everything we've
  1584. 51:23talked about
  1585. 51:24really is somewhat dependent on the at
  1586. 51:28least for Americans, for the US
  1587. 51:29government to be be on board with this.
  1588. 51:32And it seems like the Trump
  1589. 51:33administration is on board not only with
  1590. 51:35the AI stuff, but crypto as well.
  1591. 51:37Clarity Act failed, but the SEC, the
  1592. 51:39CFTC, the OCC are rule-making anyway.
  1593. 51:41They're not waiting for a bill. And then
  1594. 51:44on the slowdown news, everybody was
  1595. 51:46worried like, "Oh gosh,
  1596. 51:47we're going to stop this." And then
  1597. 51:48Trump comes out with a post like, "No,
  1598. 51:50we're not slowing that slowing down,
  1599. 51:51actually accelerate. Lean in, stop being
  1600. 51:53a pansy."
  1601. 51:54And I think love him or hate him
  1602. 51:59I think at this particular juncture for
  1603. 52:00US history, it's important that
  1604. 52:03this administration has this this
  1605. 52:04purview and they're they're enabling
  1606. 52:06this. How important do you think that
  1607. 52:07is?
  1608. 52:09>> I I think it's important, but I don't
  1609. 52:11think um
  1610. 52:14I think the voters voted for this. Um I
  1611. 52:16think crypto was a major part of his
  1612. 52:19win.
  1613. 52:20Uh I don't think it gets brought up
  1614. 52:22enough as to the
  1615. 52:24the impact it had on the election, but
  1616. 52:26it did. I mean, the numbers are there,
  1617. 52:28the stats are there, you know.
  1618. 52:30Crypto packs that put money into
  1619. 52:32elections had a huge success.
  1620. 52:35And so I think uh by bringing in a
  1621. 52:39Treasury Secretary who quotes Satoshi
  1622. 52:41and who's pro-Bitcoin to bring in a Fed
  1623. 52:44chair who's pro-Bitcoin
  1624. 52:46um I think when you go throughout the
  1625. 52:47administration, he tried to create bring
  1626. 52:50on people that were pro this. And
  1627. 52:53whatever his rationale behind it is, I I
  1628. 52:55didn't get the impression that he had a
  1629. 52:57vision for it. He just knew that the
  1630. 53:00people
  1631. 53:01wanted it.
  1632. 53:02He did have a belief in the distribution
  1633. 53:04of of of wealth as a major issue in the
  1634. 53:06country and bringing back manufacturing.
  1635. 53:08Now,
  1636. 53:10if you think about what's happening,
  1637. 53:11that is what's happening, meaning
  1638. 53:15we do have a lot of jobs being created
  1639. 53:17in the construction side. The middle
  1640. 53:18part of the country is benefiting from
  1641. 53:20the data centers and from the gas and
  1642. 53:22from all of the things that go on.
  1643. 53:24I'm a big believer that entrepreneurs
  1644. 53:26are going to have a huge impact. If I
  1645. 53:28could be long something right now, which
  1646. 53:30doesn't exist, I want to be long
  1647. 53:33the 200 million entrepreneurs that are
  1648. 53:35happening and coming in the country. I
  1649. 53:37want an index of that. I don't want the
  1650. 53:38S&P 500. I want this AI-native world of
  1651. 53:42entrepreneurs. I don't want the Russell
  1652. 53:432000. I don't want any of that stuff. I
  1653. 53:45don't want public companies. I actually
  1654. 53:47believe that the growth is coming. Now,
  1655. 53:50where do I play that? I play that
  1656. 53:51through crypto and I play it through AI.
  1657. 53:53So, those are the ways that I play that
  1658. 53:56situation right now. So, rather than get
  1659. 53:58into um
  1660. 54:00whether the administration got lucky,
  1661. 54:02whether they made the whether they the
  1662. 54:04voters did it, I think the reality is
  1663. 54:06that it's happening and they've by by
  1664. 54:09speeding up the AI side, by making it
  1665. 54:12more tax-efficient for the hyperscalers
  1666. 54:15to take out the debt and be able to
  1667. 54:17depreciate over a longer time period was
  1668. 54:18a huge thing. It accelerated AI
  1669. 54:21development. Crypto is directly
  1670. 54:23connected to when we got the AI
  1671. 54:25development. Leopold wrote in
  1672. 54:27Situational Awareness, which came out
  1673. 54:29after
  1674. 54:31No, it came out before Trump was
  1675. 54:33elected. So, it came out during the
  1676. 54:35election period and only a couple
  1677. 54:37months. I think it came out June of '24.
  1678. 54:38>> Mhm.
  1679. 54:39>> Trump spoke at the Bitcoin event in was
  1680. 54:41it July?
  1681. 54:41>> National in July. So,
  1682. 54:42>> It was before that. If you go back and
  1683. 54:44look at that point, Leopold thought we
  1684. 54:46would hit the point we're at now
  1685. 54:47sometime in 2027. The fact that we hit
  1686. 54:50it in 2026 to me is a direct
  1687. 54:53correlation with the administration
  1688. 54:55saying that AI is a focus, reducing the
  1689. 54:57timeline on things and basically giving
  1690. 54:59people the rules that for the next 4
  1691. 55:01years, you can run as fast as you want
  1692. 55:03on AI and you have my blessing. For the
  1693. 55:05crypto crew, it's the same thing. The
  1694. 55:08Genius Act was critical. As much as
  1695. 55:10clarity is important, like you said, you
  1696. 55:12can kind of get around that, which
  1697. 55:13they've gotten and then once it's going,
  1698. 55:16tokenization and stable coins and
  1699. 55:17everything accelerating, which is going
  1700. 55:19to be accelerated by the agents. By the
  1701. 55:20time we get to the next election, it'll
  1702. 55:22again be a focal point and no one's
  1703. 55:23going to want it to go backwards if it's
  1704. 55:25reducing the cost of people to
  1705. 55:28live their lives and I think that's
  1706. 55:29what's going to happen. One more thing
  1707. 55:30that fits in with it. So, when we get
  1708. 55:32back to the stability side, it kind of
  1709. 55:34directly comes back to the polarizing
  1710. 55:36situation of of of politics.
  1711. 55:39Like I said, there's a polarizing
  1712. 55:41situation inside crypto, the Bitcoiners
  1713. 55:43and the programmables. And I wish
  1714. 55:45everyone could all get along together,
  1715. 55:46but for some reason I go on a Bitcoin
  1716. 55:48podcast and
  1717. 55:49well, we don't really say crypto. We
  1718. 55:51don't get involved and I'm like, I don't
  1719. 55:53understand this whole thing. I'm new to
  1720. 55:54the party, guys. I'm looking at this as
  1721. 55:56everyone's going to win. This fits back
  1722. 55:58into the question of stability. If I
  1723. 56:00said to you,
  1724. 56:01you're going to have chaos that's been
  1725. 56:03just like the last 50 years.
  1726. 56:05It won't be World War II and it won't be
  1727. 56:07the Great Depression, but what you've
  1728. 56:09gone through the last 30 years
  1729. 56:12is going to continue. That chaos that
  1730. 56:13you described to us.
  1731. 56:15But here's the benefit that comes with
  1732. 56:16you signing up for that.
  1733. 56:18You're going to live for another 300
  1734. 56:19years.
  1735. 56:21If that's what happens,
  1736. 56:23like isn't that kind of the the the the
  1737. 56:26quid pro quo of like you got to give up
  1738. 56:28something, you're going to get
  1739. 56:29something? I think when people look at
  1740. 56:31what the administration has been able to
  1741. 56:32do, I think you have to put in the
  1742. 56:34context of if you believe AI is going to
  1743. 56:37solve lots of problems and be dangerous
  1744. 56:39at the same time and create lots of
  1745. 56:40chaos,
  1746. 56:41if the end result is living a lot
  1747. 56:43longer, a healthier life, being able to
  1748. 56:44see your kids grow up, that's a pretty
  1749. 56:46good,
  1750. 56:47you know, sign on the dotted line with
  1751. 56:49the devil as to the outcome that's good.
  1752. 56:51You think we're going to live to be 300.
  1753. 56:53I
  1754. 56:54I've
  1755. 56:55Marty,
  1756. 56:56you can go back and read writings from
  1757. 56:57me for a long time. [laughter]
  1758. 56:59Um, do I believe in the exponential
  1759. 57:02innovation in the solution of people not
  1760. 57:05aging? Absolutely, it's a math problem.
  1761. 57:07Um, so do I think 300, 150, whatever the
  1762. 57:10case is, it's hard for people to
  1763. 57:12imagine, but if I would have told you
  1764. 57:13that we'd have smartphones in our hands
  1765. 57:1525 years ago doing the stuff that
  1766. 57:17they're doing, if I told you that
  1767. 57:19we'd be solving math problems that
  1768. 57:21Einstein couldn't solve and that have
  1769. 57:23been around for 150 to 175 years
  1770. 57:27in a matter of 88 hours?
  1771. 57:29>> Mhm.
  1772. 57:29>> Do I think we're going to solve the
  1773. 57:31world's greatest science problems? Yeah,
  1774. 57:33what is the difference between saying
  1775. 57:34we're going to have people living on
  1776. 57:35Mars and living to 300? Like what's the
  1777. 57:37Where Where does it get too crazy? So,
  1778. 57:39yes, I do.
  1779. 57:41The wild world. Where are the
  1780. 57:43bottlenecks? So, obviously compute. We
  1781. 57:44think compute usage it already is going
  1782. 57:46up exponentially. We're only on the
  1783. 57:48cusp. News just dropped. I think that's
  1784. 57:50going to have a massive Yeah.
  1785. 57:52Uh it's going to lead to a massive
  1786. 57:55growth in demand for for these tokens.
  1787. 57:59Is that the biggest bottleneck right
  1788. 58:00now?
  1789. 58:01>> The biggest bottleneck is is humans. Um
  1790. 58:04you said it. Like everyone's worried.
  1791. 58:05The politics are making it a major
  1792. 58:07issue. Like the data centers can't be
  1793. 58:09happening cuz they make up stuff about
  1794. 58:11them and don't actually provide people
  1795. 58:14with the right facts. Because the
  1796. 58:16Chinese, the Russians, the Iranians, and
  1797. 58:18anyone that's at either war or in
  1798. 58:20competition with us wants our politics
  1799. 58:21to be polarizing can just put something
  1800. 58:24you know, can take the the Anthropic guy
  1801. 58:26that worked there for 6 weeks and get
  1802. 58:28him 170 million views on X, which is
  1803. 58:31clearly part politics, part geopolitics
  1804. 58:34in terms of the ability of making this
  1805. 58:36viral.
  1806. 58:37Uh humans are the biggest friction and
  1807. 58:40physics are number two. But they're they
  1808. 58:42go hand in hand. And so, this is going
  1809. 58:43to
  1810. 58:45in a good way, this will have it go
  1811. 58:47somewhat slower because I think the
  1812. 58:50humans are doing the right thing with
  1813. 58:51the pause in AI. Not Not that they're
  1814. 58:54pausing the development,
  1815. 58:57but the pause in releasing them. And I
  1816. 59:00think one thing everyone should think
  1817. 59:01about, and this is important for fiat
  1818. 59:03assets in general, meaning for stocks.
  1819. 59:06Alex Karp was on CNBC last week.
  1820. 59:10And
  1821. 59:12he talked about the fact it's just a
  1822. 59:13matter of time within the next year that
  1823. 59:15OpenAI is
  1824. 59:17>> nationalized.
  1825. 59:17>> Yeah.
  1826. 59:19Now, I've said this publicly, too, where
  1827. 59:21not specifically them, but I've said to
  1828. 59:24investors and I've said it in writings
  1829. 59:26that it's like, where is the line
  1830. 59:27between something that's so powerful
  1831. 59:29that it could take down the entire
  1832. 59:30system, which is what these guys wrote
  1833. 59:33about, which they believe. If you take
  1834. 59:35the internet down, we're all in trouble.
  1835. 59:37And they were saying that this is
  1836. 59:39possible. Like not just possible, like
  1837. 59:42it is possible. It was happening with
  1838. 59:44some of their things. Not that it was
  1839. 59:45taking it down, but it was creating
  1840. 59:46these little places that you don't know
  1841. 59:47they exist. So, I want people to think
  1842. 59:50about like when you get a virus in your
  1843. 59:52body,
  1844. 59:54you don't find out until the symptoms
  1845. 59:56start showing up. Like it's in there.
  1846. 59:58Like you could be you could be sick now.
  1847. 59:59You don't know. Eventually, your body
  1848. 1:00:01starts showing the thing. That that
  1849. 1:00:03swarm outcome of hugging face, that was
  1850. 1:00:06a symptom. That was a
  1851. 1:00:08hey, um
  1852. 1:00:10we got to take some medicine for this.
  1853. 1:00:11So, the pause is related to it. So, I do
  1854. 1:00:13think what Alex Karp said is is a very
  1855. 1:00:16real possibility. And the problem is if
  1856. 1:00:18a if the most important public company
  1857. 1:00:20in the world
  1858. 1:00:22can be privatized,
  1859. 1:00:25again, this is very powerful for
  1860. 1:00:26entrepreneurs. It's very powerful for
  1861. 1:00:29crypto. It is very negative for public
  1862. 1:00:32companies, in my opinion, to have that
  1863. 1:00:34kind of situation because then the
  1864. 1:00:35question is where's the line for anyone.
  1865. 1:00:37They've been investing in Intel. They've
  1866. 1:00:38been Once it gets to the point that it's
  1867. 1:00:40that powerful to military weapon, I
  1868. 1:00:42don't know where they don't get too
  1869. 1:00:44involved in things. So, I think that was
  1870. 1:00:45an important statement. Yeah.
  1871. 1:00:51Yeah, the stakes are so high. I'm just
  1872. 1:00:52thinking
  1873. 1:00:53cuz that and then cuz the next step I
  1874. 1:00:55wanted to bring up is robotics. And I'm
  1875. 1:00:56just thinking like, okay, like we're
  1876. 1:00:58worried about
  1877. 1:00:59uh stuff happening, these these swarms
  1878. 1:01:03uh getting getting into the digital
  1879. 1:01:05world with robotics, it's a whole
  1880. 1:01:08'nother thing as it enters the physical,
  1881. 1:01:10and it's
  1882. 1:01:11Yeah. And yeah. And you talk cuz I
  1883. 1:01:13wanted to bring up robotics in terms of
  1884. 1:01:14like token consumption
  1885. 1:01:17and the opportunity that exists there,
  1886. 1:01:18and how how how How is that going to
  1887. 1:01:20balloon?
  1888. 1:01:21The the usage of of these GPUs. And then
  1889. 1:01:24you
  1890. 1:01:24I
  1891. 1:01:25Now I'm scatterbrained, but like bring
  1892. 1:01:27back open router. Like what is the
  1893. 1:01:28market for these tokens even look like
  1894. 1:01:31at the end of the day? Is the way that
  1895. 1:01:33we're going and buying $200 a month
  1896. 1:01:35subscriptions at all these different
  1897. 1:01:38model providers? Will we look back at
  1898. 1:01:39that and be like that's completely
  1899. 1:01:41antiquated. Like he In the future, will
  1900. 1:01:43we even know what models we're using? Or
  1901. 1:01:44they'll just be
  1902. 1:01:46open router like companies that
  1903. 1:01:48that emerge and do all that for you.
  1904. 1:01:51>> I I It's very hard um
  1905. 1:01:54So first on the progression of compute
  1906. 1:01:56needs for everything and and now we're
  1907. 1:01:58talking about the edge. So currently
  1908. 1:02:00we're doing everything token wise in the
  1909. 1:02:02cloud. On prem is starting. So when you
  1910. 1:02:05start getting into the law firms, you
  1911. 1:02:06start getting into um into Eli Lilly,
  1912. 1:02:09well they're building their own compute
  1913. 1:02:11providers that way.
  1914. 1:02:13Think of this is the only analogy I can
  1915. 1:02:15come up with is um
  1916. 1:02:16when we went from an agrarian economy to
  1917. 1:02:19an industrial economy. And John Gray
  1918. 1:02:21included this kind of visual back in in
  1919. 1:02:24the presentation I mentioned that's
  1920. 1:02:25that's on YouTube. And that was in 1870
  1921. 1:02:28to to 1900. So if you go back to the
  1922. 1:02:32days of when like
  1923. 1:02:34when we were truly agrarian
  1924. 1:02:37we built crops, you know, we we raised
  1925. 1:02:39crops to feed our community. And that's
  1926. 1:02:41what we did. Now there were little jobs,
  1927. 1:02:43there were blacksmiths, there were stuff
  1928. 1:02:44like that. But eventually you get into
  1929. 1:02:46industrialization and you get
  1930. 1:02:47urbanization and you speed up this whole
  1931. 1:02:49process. When I was traveling to China
  1932. 1:02:50and I saw the ghost cities, that was
  1933. 1:02:52urbanization. They were still an
  1934. 1:02:53agrarian economy that was now trying to
  1935. 1:02:56get everyone to go to the city because
  1936. 1:02:57when you go to the city, then you have
  1937. 1:02:58more economic growth and people get
  1938. 1:03:00wealthier and all these things. And so I
  1939. 1:03:01witnessed this whole thing happen in
  1940. 1:03:03China. I watched them build eight-lane
  1941. 1:03:05highways.
  1942. 1:03:06When you're like there's no cars,
  1943. 1:03:07everybody's in a rickshaw. They were
  1944. 1:03:09building for the future and how fast
  1945. 1:03:11they were going to invest in this. So
  1946. 1:03:13with compute, the only analogy I can
  1947. 1:03:16give is that when you go from the
  1948. 1:03:18agrarian to the industrial, what ended
  1949. 1:03:19up happening? We saw an explosion in
  1950. 1:03:21people people on the on the on the
  1951. 1:03:22planet.
  1952. 1:03:24So, you go from where feeding our
  1953. 1:03:25community, all the food we need is here.
  1954. 1:03:28Now, we're going to the cities, we're
  1955. 1:03:29exploding the population. When I say
  1956. 1:03:31exploding it, we're going from less than
  1957. 1:03:33a billion people to where we are today.
  1958. 1:03:35>> Mhm.
  1959. 1:03:35>> An extra 7 billion, seven times, and
  1960. 1:03:38we're shrinking farming.
  1961. 1:03:40So, if everyone's leaving being a
  1962. 1:03:41farmer, and now they're going to work in
  1963. 1:03:43the cities, how the hell do we feed
  1964. 1:03:45everyone?
  1965. 1:03:46Those people need food, everybody. So,
  1966. 1:03:49what do AI agents and humanoids need?
  1967. 1:03:51They need food, and their food is
  1968. 1:03:52compute. So, we're at the very early
  1969. 1:03:55stages, and if you go back to the
  1970. 1:03:56agrarian example, there's less than a
  1971. 1:03:58billion agents. There's less like we're
  1972. 1:04:00at the very early stage. So, whenever
  1973. 1:04:01people tell me we're going to be over
  1974. 1:04:02supplied in compute, I'm like,
  1975. 1:04:04you don't know what you're saying. Like,
  1976. 1:04:05this didn't exist. We have to feed now
  1977. 1:04:08trillions of agents.
  1978. 1:04:10So, every day enterprise agents come on.
  1979. 1:04:13Like I said, well, now we're going to
  1980. 1:04:14have the next phase, which is consumer
  1981. 1:04:16agents. Then behind that, we have FSD.
  1982. 1:04:20We have
  1983. 1:04:21>> [snorts]
  1984. 1:04:22>> humanoids. Well, that's the same as the
  1985. 1:04:23other agents. No, that brings vision in.
  1986. 1:04:25Like, they need to work in the world.
  1987. 1:04:28So, adding vision into the compute needs
  1988. 1:04:31for a car
  1989. 1:04:33to make decisions on the fly, for a
  1990. 1:04:35humanoid to see that grandma needs needs
  1991. 1:04:38her medicine, and needs vision, and it
  1992. 1:04:41needs to understand and learn as it goes
  1993. 1:04:43through it. So, you're talking about
  1994. 1:04:46compute needs that are far greater than
  1995. 1:04:47what humans can comprehend, and these
  1996. 1:04:49are facts as to what's coming. Humanoids
  1997. 1:04:50are not a distant thing, like they're
  1998. 1:04:52here today. FSD is here today. So,
  1999. 1:04:55whenever I just kind of think of people,
  2000. 1:04:57I'm like, we're only in the first inning
  2001. 1:04:59of the compute needs. So, to your point,
  2002. 1:05:01the humanoids and the robotics have a
  2003. 1:05:02huge impact on the compute needs, which
  2004. 1:05:04is why the investment side for the
  2005. 1:05:06memory names, for the semiconductors,
  2006. 1:05:07all that, why I have my 100 name
  2007. 1:05:09portfolio. It's like, guys, this isn't
  2008. 1:05:11over. We're just at the next stage and
  2009. 1:05:13consumer agents are starting now and
  2010. 1:05:15that's why meta was up 13% on Monday cuz
  2011. 1:05:17people are like, well, this is the most
  2012. 1:05:18downloaded app. What did they do?
  2013. 1:05:19Consumer agents? Wow, we're at consumer
  2014. 1:05:21agent time. What does that mean? And now
  2015. 1:05:22they're starting to look. AMD's up,
  2016. 1:05:24Intel's up. Oh my god, we need more
  2017. 1:05:25semis. So, uh energy.
  2018. 1:05:28Do we have enough energy? Are we
  2019. 1:05:29building it fast enough, the
  2020. 1:05:30infrastructure? Um
  2021. 1:05:33so, on the one side, if you assume
  2022. 1:05:36static innovation,
  2023. 1:05:38uh we're in trouble.
  2024. 1:05:41If you assume innovation,
  2025. 1:05:43we have plenty. Um and let me let me
  2026. 1:05:47before people go, he's wrong, go through
  2027. 1:05:49it. No, we have plenty of power inside
  2028. 1:05:50the United States for all of the compute
  2029. 1:05:53I just said, at least for the next 3
  2030. 1:05:54years assuming it doesn't go parabolic,
  2031. 1:05:56probably the next five. Where's it going
  2032. 1:05:58to come from magically? The grid.
  2033. 1:06:00The grid's old. We don't have enough.
  2034. 1:06:02Yes, we do. We just can't use it
  2035. 1:06:03efficiently. We have double
  2036. 1:06:06the amount of capacity because we can't
  2037. 1:06:09run it at full. And if people don't know
  2038. 1:06:10that, they should go look it up.
  2039. 1:06:13So, you have to think of novel solutions
  2040. 1:06:14and what AI could bring cuz that's the
  2041. 1:06:16thing people underestimate is when
  2042. 1:06:17you're in an exponential innovation,
  2043. 1:06:19they extrapolate linearly out and it's
  2044. 1:06:21like, no, no, no, along the way we're
  2045. 1:06:23going to solve problems.
  2046. 1:06:25Where does Navier-Stokes fit in that
  2047. 1:06:26whole thing?
  2048. 1:06:28Fluid dynamics.
  2049. 1:06:30Okay, well, that has an impact on gas
  2050. 1:06:32turbines.
  2051. 1:06:33Has an impact on boats, on planes. Also
  2052. 1:06:36has an impact on
  2053. 1:06:37batteries.
  2054. 1:06:38You know how important batteries are to
  2055. 1:06:40the grid? If [snorts] right today we
  2056. 1:06:42could have a bunch of batteries,
  2057. 1:06:44we could plug everyone into the grid,
  2058. 1:06:45not have a problem.
  2059. 1:06:47One of the reasons why Bitcoin miners
  2060. 1:06:48have become more attractive in certain
  2061. 1:06:50states like Texas cuz they're like, wait
  2062. 1:06:51a second.
  2063. 1:06:52So, you guys can use the grid when no
  2064. 1:06:56one else is using the grid, but then you
  2065. 1:06:57can turn it off because when the power
  2066. 1:06:59goes up, it's about arbitrage for you
  2067. 1:07:01guys. You guys are actually like a a
  2068. 1:07:02synthetic like
  2069. 1:07:04group that's good for the the grid. Yep,
  2070. 1:07:07they are. So, that's one of the reasons
  2071. 1:07:09why Bitcoin miners have become more of
  2072. 1:07:11an interesting part of this. And there
  2073. 1:07:13again, how crypto's connected to AI in
  2074. 1:07:14various ways. Here's the other place.
  2075. 1:07:18When you're in the situation, if you
  2076. 1:07:19take the batteries and you connect to
  2077. 1:07:21the grid and you store all that power,
  2078. 1:07:23then you can throttle you can just run
  2079. 1:07:25it all the time and fill it up. And then
  2080. 1:07:27if we ever need that point cuz there's a
  2081. 1:07:29a a
  2082. 1:07:30a weather event or something that drives
  2083. 1:07:32the demand up because the temperatures
  2084. 1:07:33go up to 150 in Texas. And everyone's
  2085. 1:07:36sitting there and they got their air
  2086. 1:07:37conditioner running all the day and
  2087. 1:07:38you're Okay, the grid's going to go
  2088. 1:07:39down. Oh, no, we'll just use the battery
  2089. 1:07:41that we have stored for the next year.
  2090. 1:07:43Now, to have that, just like you had to
  2091. 1:07:45do with Tesla when they created the cars
  2092. 1:07:47and the batteries, there was no novel
  2093. 1:07:49solution, but we went from people
  2094. 1:07:51doubting an electric car
  2095. 1:07:53to where we are today. When they first
  2096. 1:07:54came out, I think there was 20 mi of
  2097. 1:07:57distance or something like that. Go back
  2098. 1:07:58and read the original roadster thing and
  2099. 1:08:00how far you could go. But the reason it
  2100. 1:08:02was not a viable solution
  2101. 1:08:04is cuz you couldn't drive it that far.
  2102. 1:08:06You could drive it around the corner,
  2103. 1:08:07show showed off, and then you had to
  2104. 1:08:08come back and plug in again. And the
  2105. 1:08:10plugging in took a long period of time
  2106. 1:08:11cuz there were no chargers. Now, fast
  2107. 1:08:13forward, car gets 400 mi of range. The
  2108. 1:08:17chargers are everywhere. So, I don't
  2109. 1:08:19think people are thinking enough about
  2110. 1:08:20how batteries are a solution to the
  2111. 1:08:22energy problem. And now I have full
  2112. 1:08:24confidence, full confidence, that
  2113. 1:08:26between that, the innovations that have
  2114. 1:08:28already happened this year to allow us
  2115. 1:08:30to build things behind the meter, which
  2116. 1:08:32was not a thing before Colossus, all of
  2117. 1:08:35these innovations are coming, my friend.
  2118. 1:08:37>> Yeah.
  2119. 1:08:38That's uh
  2120. 1:08:39it's funny how
  2121. 1:08:41the Bitcoin mining industry I've been in
  2122. 1:08:43it for
  2123. 1:08:458 years now. And we went through
  2124. 1:08:48discovering all this and now watching
  2125. 1:08:50the world wake up to what we've been
  2126. 1:08:51beating the the table over for for
  2127. 1:08:54probably [snorts] 6 years since the
  2128. 1:08:57right before the Chinese mining ban,
  2129. 1:08:58particularly with the demand response.
  2130. 1:08:59It's like, yes, we've been telling you.
  2131. 1:09:01And behind the meter even. That's what
  2132. 1:09:03uh
  2133. 1:09:04I was in oil fields in North Dakota.
  2134. 1:09:08I wasn't personally, but I the company
  2135. 1:09:09that I that I I worked for him
  2136. 1:09:12from 2018 to 2021, we did flare gas
  2137. 1:09:15mining. So we'd bring generators on the
  2138. 1:09:16well pad, take the gas, scrub it, put it
  2139. 1:09:19through a generator, mine Bitcoin with
  2140. 1:09:20it, and there's a ton and it it's been
  2141. 1:09:23interesting, too. This is talking about
  2142. 1:09:25the convergence of
  2143. 1:09:27crypto and AI, Bitcoin, AI. It happens
  2144. 1:09:30in so many We're talking about energy,
  2145. 1:09:31we're talking about agents.
  2146. 1:09:33But the people even Open Router was
  2147. 1:09:35founded [snorts] by the open the Open
  2148. 1:09:37Sea team, which was the NFE platform.
  2149. 1:09:39And their head of strategy
  2150. 1:09:41was an ex-marathon guy.
  2151. 1:09:44And
  2152. 1:09:45I'm going to record next with uh
  2153. 1:09:47somebody from News Research. He came
  2154. 1:09:49from Foundry. And like the it's there's
  2155. 1:09:51this um and I think we've discussed this
  2156. 1:09:54before, but
  2157. 1:09:56in my life, the early adopters of AI
  2158. 1:09:58have typically been people in the
  2159. 1:10:00Bitcoin industry
  2160. 1:10:02that are that are
  2161. 1:10:03there's there's something
  2162. 1:10:05uh
  2163. 1:10:06with the psyche of people that that have
  2164. 1:10:08been in this industry. And I I think the
  2165. 1:10:10fact that they're in it is a tell that
  2166. 1:10:12they're early adopters, and
  2167. 1:10:14uh
  2168. 1:10:14that's
  2169. 1:10:16that's the thing I I I don't think many
  2170. 1:10:17people appreciate is like a lot of the
  2171. 1:10:19companies that are coming up in AI have
  2172. 1:10:20people that came from this industry. And
  2173. 1:10:23to your point about these these
  2174. 1:10:24convergences are happening at every
  2175. 1:10:26layer, like even the people layer.
  2176. 1:10:28>> Mhm. And
  2177. 1:10:29vice versa, too. Um
  2178. 1:10:32I'm I'm guessing you've never heard of
  2179. 1:10:33Ali Yahya.
  2180. 1:10:34>> No.
  2181. 1:10:35>> Okay. So Ali Yahya is one of the
  2182. 1:10:38original partners of A16Z.
  2183. 1:10:40>> Mhm.
  2184. 1:10:41>> He is part of the crypto group.
  2185. 1:10:44So he's been at the place a long time,
  2186. 1:10:46and I ran into him and I'm going to be I
  2187. 1:10:48I I just did a video for my subscribers
  2188. 1:10:51titled crypto, why now?
  2189. 1:10:54And this was my way of kind of saying to
  2190. 1:10:56people who are part of my AI
  2191. 1:10:58subscribers, but this is also for crypto
  2192. 1:11:00people because
  2193. 1:11:02like I I've listened to you for a while.
  2194. 1:11:04Like as I've kind of consumed knowledge
  2195. 1:11:07to to understand crypto more,
  2196. 1:11:10I have to go back to the people that
  2197. 1:11:12have been creating content for a long
  2198. 1:11:13time.
  2199. 1:11:14Because as I believe and as you know,
  2200. 1:11:17when you interview smart people, you
  2201. 1:11:18consume a lot of that information.
  2202. 1:11:20There's things I said today that you're
  2203. 1:11:21have connected for you. There's things
  2204. 1:11:23you've asked me that have connected for
  2205. 1:11:25me.
  2206. 1:11:26Ali Yahya um went to Stanford.
  2207. 1:11:29He worked in Google X out of school, and
  2208. 1:11:32then he worked for Google Brain.
  2209. 1:11:36He's an AI and cryptography expert.
  2210. 1:11:40He decided
  2211. 1:11:42to go to A16Z because
  2212. 1:11:46his story is that he was trying to
  2213. 1:11:47convince the Google X guys to invest in
  2214. 1:11:50crypto. It's a great story of someone I
  2215. 1:11:52never heard of, but I'm using him in my
  2216. 1:11:54video, and I used him in the video for
  2217. 1:11:56why now for people to go learn. Cuz I'm
  2218. 1:11:58like, you should go listen to this guy
  2219. 1:11:59talk about it. So, the the videos I'm
  2220. 1:12:02showing are recent interviews with him
  2221. 1:12:04in May. They raised another fund at
  2222. 1:12:06A16Z, which I think is really important
  2223. 1:12:08for people in the crypto side. This was
  2224. 1:12:10in the the depths of the bear market.
  2225. 1:12:12So, this is when Bitcoin had been down
  2226. 1:12:14for
  2227. 1:12:156 months
  2228. 1:12:16um or 7 months since since October 10th,
  2229. 1:12:20and
  2230. 1:12:21they're talking about taking in $2.2
  2231. 1:12:23billion for it, and the whole rationale
  2232. 1:12:26with Chris Dixon, who you probably have
  2233. 1:12:29heard of. So, Ali Yahya is the person
  2234. 1:12:31that nobody seems to know. I didn't know
  2235. 1:12:32him. I knew Chris Dixon for a long time.
  2236. 1:12:34Ali Yahya is the person I care the most
  2237. 1:12:36about because
  2238. 1:12:38he understands the value of the agentic
  2239. 1:12:40side. He talks about privacy. He's the
  2240. 1:12:42one that got me so focused on Zcash, and
  2241. 1:12:45I started to understand from a business
  2242. 1:12:47fiduciary who's raised money, who now
  2243. 1:12:50understands, oh my gosh, I think Zcash
  2244. 1:12:53should be up massively over the next
  2245. 1:12:55year if my view
  2246. 1:12:57of the value of privacy, my view of the
  2247. 1:12:59value of trust. These are all things
  2248. 1:13:01that I'm realizing crypto's going to be
  2249. 1:13:02valued off of. It's going to be off
  2250. 1:13:04privacy. It's going to be off trust.
  2251. 1:13:06It's going to be off speed. These are
  2252. 1:13:08metrics that don't fit in the the fiat
  2253. 1:13:10system. You can't do that with stocks,
  2254. 1:13:12but there's value for it. That's why the
  2255. 1:13:14multiple's going down because on the
  2256. 1:13:15flip side,
  2257. 1:13:17I don't trust you're going to be here in
  2258. 1:13:18the next 5 years because terminal
  2259. 1:13:20value's gone. Like I could do this all
  2260. 1:13:22day. Your business is too slow, Visa.
  2261. 1:13:25You're not going to be in business. You
  2262. 1:13:26better adapt. Like
  2263. 1:13:28everything is about those things that I
  2264. 1:13:30mentioned, privacy, like Zcash, the
  2265. 1:13:33ability to do things and not actually
  2266. 1:13:35know who's on either side. Should it be
  2267. 1:13:36bigger than Bitcoin? No.
  2268. 1:13:38Should it probably be 10% of the value
  2269. 1:13:41of it? Yeah, my guess is it probably
  2270. 1:13:42should in the long run if I'm right
  2271. 1:13:44about privacy. Ali Yahya takes you
  2272. 1:13:46through his vision of the world and how
  2273. 1:13:49important agents are to it and it's very
  2274. 1:13:51hard for me to find people that speak
  2275. 1:13:53that way. I have to go into the depths
  2276. 1:13:55of someone who went to Stanford, was in
  2277. 1:13:56Google Brain, and all this. So, I think
  2278. 1:13:58as you kind of connect all these dots
  2279. 1:14:00and you start going through the way all
  2280. 1:14:02this plays out, the backward side of the
  2281. 1:14:04power and the electricity side and how
  2282. 1:14:06it connects back into this, they're all
  2283. 1:14:08related to AI and crypto being
  2284. 1:14:10synergistically the thing that matters
  2285. 1:14:13the most in the next decade. Have you
  2286. 1:14:15looked into eCash at all?
  2287. 1:14:17Uh I have not spent ti- I have not spent
  2288. 1:14:19enough time on eCash.
  2289. 1:14:21>> Looking into eCash.
  2290. 1:14:21>> I will. I was saying that the the
  2291. 1:14:23double-blinded signatures, um
  2292. 1:14:26I think that if you're looking for like
  2293. 1:14:27velocity,
  2294. 1:14:28uh I think eCash is uh
  2295. 1:14:31is a much much better suited than Zcash
  2296. 1:14:33right now. I don't know what the Zcash
  2297. 1:14:34L2s look like, but uh eCash is gives you
  2298. 1:14:38that perfect privacy, but the speed that
  2299. 1:14:40which you can transact, particularly for
  2300. 1:14:42agents. And I've given my agent an eCash
  2301. 1:14:44wallet.
  2302. 1:14:44>> Mhm.
  2303. 1:14:45>> And it's funny uh just watching it go.
  2304. 1:14:47>> Yeah. I'm like, "Hey, go on LN Markets
  2305. 1:14:49and trade. Just take like Just messing
  2306. 1:14:52with like go on LN Markets, you can sign
  2307. 1:14:53in
  2308. 1:14:54using your Lightning Network address,
  2309. 1:14:56and then use Zcash to trade there.
  2310. 1:14:59Send this money with the Zcash when you
  2311. 1:15:00send it back, convert it back to Zcash,
  2312. 1:15:02and it's
  2313. 1:15:03>> Here's my issue, um as people kind of
  2314. 1:15:06think of this. I think when
  2315. 1:15:10So, only reason I care about Zcash is
  2316. 1:15:12because
  2317. 1:15:13the privacy side
  2318. 1:15:15what Robinhood chain like everything for
  2319. 1:15:18me started with XY
  2320. 1:15:21So, I have a chain that goes backwards.
  2321. 1:15:23The mistake people are going to make is
  2322. 1:15:24doing homework on these things like it
  2323. 1:15:26matters.
  2324. 1:15:27>> Mhm.
  2325. 1:15:28>> Whether something goes from 1 to 100 or
  2326. 1:15:311 to 200, and something else goes from 1
  2327. 1:15:33to 300 or 1 to 400 is complete waste of
  2328. 1:15:35time.
  2329. 1:15:36Um
  2330. 1:15:38In the end, they're both going to peak,
  2331. 1:15:40and they're both going to stop growing
  2332. 1:15:42at some point. [snorts] And once we get
  2333. 1:15:45to the point where privacy is is valued,
  2334. 1:15:48maybe that prevents them from getting
  2335. 1:15:49combined or Let's assume there's 10 of
  2336. 1:15:51them.
  2337. 1:15:52I still believe in the end, and this is
  2338. 1:15:54a perfect example,
  2339. 1:15:56the value of privacy relative to Bitcoin
  2340. 1:15:59should be 10 to 15% just because that's
  2341. 1:16:03what goes on in certain parts of the
  2342. 1:16:04world where people need the privacy.
  2343. 1:16:06>> Mhm.
  2344. 1:16:07>> Most people don't. Most businesses
  2345. 1:16:09don't. But, some businesses like an
  2346. 1:16:11asset manager, they can't have their
  2347. 1:16:13clients out there Like there's certain
  2348. 1:16:15components where agent to agent when
  2349. 1:16:16they're talking, you don't want them to
  2350. 1:16:17know who it is. So, I just think for all
  2351. 1:16:20of it, um
  2352. 1:16:21the rather than get into who wins, who
  2353. 1:16:23loses, that to me is a dangerous game,
  2354. 1:16:26especially at this part of the cycle. I
  2355. 1:16:27think this part of the cycle is like it
  2356. 1:16:29was for semiconductors in the first
  2357. 1:16:31quarter. It didn't matter which one you
  2358. 1:16:32bought. They all went up five to 10
  2359. 1:16:34times. The pain now is which one do I
  2360. 1:16:37buy? And that's the knife fight. And the
  2361. 1:16:39knife fight is much harder than the Oh,
  2362. 1:16:41we didn't even see this coming fight.
  2363. 1:16:43And the we didn't see it coming is where
  2364. 1:16:45we are in crypto in my mind.
  2365. 1:16:46>> You know what I've realized is
  2366. 1:16:48this is our fourth or fifth conversation
  2367. 1:16:49but this one. I think you might be the
  2368. 1:16:50anti-Ed Zitron. I think you two are on
  2369. 1:16:52like polar opposites of the
  2370. 1:16:54ends of the spectrum of
  2371. 1:16:56of your view on this whole thing. And
  2372. 1:16:58it's funny that he he's very popular
  2373. 1:17:00right now and talk about the wall of
  2374. 1:17:01worry and people
  2375. 1:17:02uh
  2376. 1:17:04fearful of the the circular financing
  2377. 1:17:06and the fact that nothing's here. Do you
  2378. 1:17:08like it's
  2379. 1:17:09it blows my mind that somebody
  2380. 1:17:12like him can get as popular. Um I I
  2381. 1:17:14think it's people want to confirm their
  2382. 1:17:16priors, but the I I think you're the
  2383. 1:17:20you're the anti-Ed Zitron is how I would
  2384. 1:17:21describe you.
  2385. 1:17:24>> First of all, I think um there's a
  2386. 1:17:26reason why
  2387. 1:17:28uh horror movies are very popular. I
  2388. 1:17:31think there's a reason why um
  2389. 1:17:35It's a lot of things people like worry
  2390. 1:17:37about. Um worrying has just gotten worse
  2391. 1:17:40over time. So, uh
  2392. 1:17:42you know I
  2393. 1:17:43What's that?
  2394. 1:17:44>> Bears get slaughtered, bulls uh bulls
  2395. 1:17:46make money.
  2396. 1:17:47>> No, like so I I'm not
  2397. 1:17:50>> [snorts]
  2398. 1:17:51>> Again, I think the fiat system is is is
  2399. 1:17:54an old system that is not going to
  2400. 1:17:55produce the returns that
  2401. 1:17:58people want. I think crypto is a hedge
  2402. 1:18:00to that. I think AI is a hedge to it,
  2403. 1:18:02but AI disrupts AI.
  2404. 1:18:05Um from an investment thing. Like I
  2405. 1:18:06don't think these are things that you
  2406. 1:18:07can invest in based on valuation. I
  2407. 1:18:09think this is all about the speed. It's
  2408. 1:18:12all about speed. Um that's just it. And
  2409. 1:18:15investing in speed is very different
  2410. 1:18:16than friction.
  2411. 1:18:18And if you just take those two, like I'm
  2412. 1:18:20investing in speed. I'm investing in
  2413. 1:18:22friction. And I said, "Well, which one
  2414. 1:18:23is crypto, which one is fiat?" You know
  2415. 1:18:27what it is. Friction is fiat. It's the
  2416. 1:18:29intermediaries slowing things down as
  2417. 1:18:32much as possible.
  2418. 1:18:33I want to invest in speed. And you know
  2419. 1:18:35You know speed is? Speed is about
  2420. 1:18:37everyone benefiting. So like when you
  2421. 1:18:39say concentration in circular finance,
  2422. 1:18:41of course there's circular finance.
  2423. 1:18:44That is called concentration.
  2424. 1:18:46Seven companies control the world.
  2425. 1:18:50Literally. So of course they're lending
  2426. 1:18:53to each other. That is called where we
  2427. 1:18:55ended up in. Now,
  2428. 1:18:56if you would invested in that circular
  2429. 1:18:59finance back in in 2010, it didn't exist
  2430. 1:19:02cuz we were we weren't concentrated. We
  2431. 1:19:04got to this point. So should Nvidia be
  2432. 1:19:07buying back stock or should they be
  2433. 1:19:09investing in the companies that they are
  2434. 1:19:11helping grow this whole thing?
  2435. 1:19:13>> Well, I mean, I think we've discussed
  2436. 1:19:15this before, but like how much cash did
  2437. 1:19:17these companies have on their balance
  2438. 1:19:18sheet in the 2010s early 2020s? And to
  2439. 1:19:20your point, they were all just buying
  2440. 1:19:22back stock. They weren't investing
  2441. 1:19:24in the infrastructure. So taking
  2442. 1:19:26a positive view of this, it's like,
  2443. 1:19:28"Hey, they're actually
  2444. 1:19:30taking that cash, taking risk with it,
  2445. 1:19:31investing in infrastructure that we're
  2446. 1:19:33all going to use." It's
  2447. 1:19:34they were
  2448. 1:19:35>> growing too fast and their cash buyback
  2449. 1:19:37started to become a major part of the
  2450. 1:19:39market. Let's say at 2014, 2015 because
  2451. 1:19:42they were growing so fast, they were
  2452. 1:19:43getting so big. Um
  2453. 1:19:46this is one of the problems. Like so
  2454. 1:19:47when
  2455. 1:19:48cash on the balance sheets
  2456. 1:19:50is far bigger today than it was in 2010.
  2457. 1:19:53And this is part of the issue when
  2458. 1:19:54people talk about the debt. I'm like,
  2459. 1:19:57you guys can create any scary stat you
  2460. 1:20:00want. It's like picking a hitter.
  2461. 1:20:05Batter [snorts] is seven of the last
  2462. 1:20:06eight. He's hot.
  2463. 1:20:08But of the last hundred, he's seven of
  2464. 1:20:10the last hundred. So he's only hot for a
  2465. 1:20:12short amount of time. He's ice cold for
  2466. 1:20:14this. You can play with statistics.
  2467. 1:20:17Look how big the debt market they
  2468. 1:20:19whenever they show these charts. I know
  2469. 1:20:20you've seen them on X. Like hyperscaler
  2470. 1:20:23debt. It was zero before.
  2471. 1:20:25Now it's big. So the image we get that's
  2472. 1:20:28big is these big histogram poles.
  2473. 1:20:31>> Mhm.
  2474. 1:20:31>> And before it was nothing. There's two
  2475. 1:20:33stories here.
  2476. 1:20:35One is, how do companies get so big
  2477. 1:20:37without taking debt for the prior 10
  2478. 1:20:39years?
  2479. 1:20:40Isn't that part of the story? Because
  2480. 1:20:42the only way these things look big is
  2481. 1:20:44based on the fact that it was so small
  2482. 1:20:46before.
  2483. 1:20:48They have cash. So, if you put in how
  2484. 1:20:50much cash they're making, they were
  2485. 1:20:52making tons of cash. So,
  2486. 1:20:55I don't believe in any of this stuff in
  2487. 1:20:57terms of this. The cash on the balance
  2488. 1:20:59sheets of corporates, when you add in
  2489. 1:21:01the liquid cuz we now have interest
  2490. 1:21:04rates. So, cash was bigger back then or
  2491. 1:21:06it was smaller, but the growth hasn't
  2492. 1:21:08been that big. But, that's because you
  2493. 1:21:10hold treasuries now because they're
  2494. 1:21:11actually paying you interest. So, when
  2495. 1:21:14you combine them together and you take
  2496. 1:21:15the net debt of the market in terms of
  2497. 1:21:17the corporate debt
  2498. 1:21:19or the the gross debt, and then you put
  2499. 1:21:21in the amount of cash they have,
  2500. 1:21:24you'd be shocked at how good the balance
  2501. 1:21:25sheets are in the corporate sector.
  2502. 1:21:26That's why spreads are so like
  2503. 1:21:29non-moving. Why is CDS going up? Because
  2504. 1:21:32of that circular finance concentration
  2505. 1:21:33risk. You telling me you shouldn't be
  2506. 1:21:35buying CDS on this and you don't think
  2507. 1:21:38other hedge funds who are long the the
  2508. 1:21:40names, the equity names, shouldn't be
  2509. 1:21:42buying CDS on these names because
  2510. 1:21:44they're the ones spending all the money?
  2511. 1:21:45If for any reason they can't spend the
  2512. 1:21:47money, the whole AI trade goes down. So,
  2513. 1:21:49isn't this one way? Let me be long the
  2514. 1:21:52receivers and let them be instead of
  2515. 1:21:54being short the equity cuz the equity's
  2516. 1:21:55at all-time highs, guys, if you didn't
  2517. 1:21:56notice. Like, I don't know debt problems
  2518. 1:21:58that have ever been in the world where
  2519. 1:21:59the equity's at the all-time highs. It's
  2520. 1:22:01the junior part of the stack. So, if the
  2521. 1:22:03debt isn't issue, shouldn't the equity
  2522. 1:22:05be down first? That's what happened in
  2523. 1:22:06every That's what happened with the
  2524. 1:22:07banks. That's what happened with the oil
  2525. 1:22:08stocks. But, instead they're at the
  2526. 1:22:10highest level ever. So, for all of the
  2527. 1:22:12spenders right now,
  2528. 1:22:14rather than short the equity, just go
  2529. 1:22:16buy the CDS in the event that something
  2530. 1:22:17happens. You'll make a lot of money on
  2531. 1:22:19it. You can lever it up. Yeah.
  2532. 1:22:21It's always
  2533. 1:22:23an incredible pleasure speaking with
  2534. 1:22:24you, Jordy. I appreciate you uh
  2535. 1:22:26taking time. Anything that we didn't
  2536. 1:22:28touch on that uh uh that we should make
  2537. 1:22:30the audience aware of?
  2538. 1:22:31>> We covered a lot.
  2539. 1:22:32>> Yeah.
  2540. 1:22:33>> Uh only thing I I'll say is um
  2541. 1:22:36the last
  2542. 1:22:38year, I've spent all my time
  2543. 1:22:41focusing on
  2544. 1:22:43launching something to help educate
  2545. 1:22:45people on AI with eventually crypto
  2546. 1:22:48being part of it.
  2547. 1:22:50Starting in since you watch the stuff
  2548. 1:22:52that I do in my video, starting in June,
  2549. 1:22:54I started telling people, "Okay, I'm
  2550. 1:22:56going to be launching a crypto site.
  2551. 1:22:58It's going to happen in September,
  2552. 1:22:59October."
  2553. 1:23:01Now, I could have launched something in
  2554. 1:23:02July. Why did I say September
  2555. 1:23:04October? For those who know me, I work
  2556. 1:23:06even in the summertime, even though I'm
  2557. 1:23:08in Maine. Um
  2558. 1:23:09this was solely about me timing things
  2559. 1:23:11based on where I thought the agentic
  2560. 1:23:13side would kick in.
  2561. 1:23:15And I believed it would happen later in
  2562. 1:23:17the year. So, I've been talking about
  2563. 1:23:18consumer agents as the big trade for
  2564. 1:23:20next year that crypto would be the big
  2565. 1:23:21trade. Anyone who saw me speak in Fort
  2566. 1:23:24Lauderdale or LA or any of the places
  2567. 1:23:26this year where I got on stage and I
  2568. 1:23:27said,
  2569. 1:23:28"The Micron of next year is crypto."
  2570. 1:23:31So, when you're looking for what's a
  2571. 1:23:3210-bagger or 13-bagger over the course
  2572. 1:23:34of a year,
  2573. 1:23:36it's going to be because consumer agents
  2574. 1:23:38start getting into needing the
  2575. 1:23:39guardrails and we're finally there. So,
  2576. 1:23:41the only thing I want people to realize,
  2577. 1:23:42the reason I'm now launching the crypto
  2578. 1:23:44part of it, which is on the site and for
  2579. 1:23:46people who have already subscribed, so
  2580. 1:23:47they were always getting AI, now they're
  2581. 1:23:49getting crypto, so they're getting two
  2582. 1:23:50videos a week. These will not be on
  2583. 1:23:52YouTube, but they're also getting the
  2584. 1:23:53research. And I bring that up because if
  2585. 1:23:55you're a person that doesn't feel like
  2586. 1:23:57you understand and you can't get out of
  2587. 1:23:59the worry, if you don't understand
  2588. 1:24:01crypto, and if you watch last week's, I
  2589. 1:24:03compared it to learning cricket as a
  2590. 1:24:05American baseball fan. Like, cricket is
  2591. 1:24:07a very complicated game of which I'm not
  2592. 1:24:10going to take the time, but learning a
  2593. 1:24:11new sport, it takes a lot of time. You
  2594. 1:24:13got to see the nuances. Crypto's going
  2595. 1:24:15to be a very difficult learning curve
  2596. 1:24:16for for people, far more difficult than
  2597. 1:24:19buying AMD, Intel, or Micron. You know
  2598. 1:24:22that language. This is a new world, and
  2599. 1:24:24unfortunately, a lot of the crypto
  2600. 1:24:26people are going to scare you.
  2601. 1:24:28Uh a lot of the trad fi people are going
  2602. 1:24:29to scare you. Marty's job is to be here
  2603. 1:24:31and keep you from being scared.
  2604. 1:24:33>> [laughter]
  2605. 1:24:34>> If you don't want to be scared, check
  2606. 1:24:35out Marty. As uh somebody who watches
  2607. 1:24:38your videos and is a subscriber, it's uh
  2608. 1:24:41it's been incredible amount of value for
  2609. 1:24:42me personally. So, thank you for doing
  2610. 1:24:44it, and uh thank you for joining us. No
  2611. 1:24:46problem. And send me your thoughts on
  2612. 1:24:47the video. It's getting released
  2613. 1:24:48Wednesday morning, so Why not on crypto?
  2614. 1:24:50I'll I'll
  2615. 1:24:51I'll have to go manually buy a train
  2616. 1:24:53ticket and then watch [laughter] it on
  2617. 1:24:54the train.
  2618. 1:24:55Agents aren't there yet. Peace, love,
  2619. 1:24:57freaks.
  2620. 1:24:58Thank you for listening to this episode
  2621. 1:24:59of TFTC. If you've made it this far, I
  2622. 1:25:02imagine you got some value out of the
  2623. 1:25:04episode. If so, please share it far and
  2624. 1:25:06wide with your friends and family. We're
  2625. 1:25:09looking to get the word out there.
  2626. 1:25:11Also, wherever you're listening, whether
  2627. 1:25:13that's YouTube, Apple, Spotify,
  2628. 1:25:16make sure you like and subscribe to the
  2629. 1:25:18show. And if you can leave a rating on
  2630. 1:25:20the podcasting platforms, that goes a
  2631. 1:25:22long way. Last but not least, if you
  2632. 1:25:24want to get these episodes
  2633. 1:25:26a day early and ad-free, make sure you
  2634. 1:25:28download the Fountain podcasting app.
  2635. 1:25:31You can go to fountain.fm to find that.
  2636. 1:25:34$5 a month gets you every episode a day
  2637. 1:25:37early, ad-free.
  2638. 1:25:39Helps the show, gives you incredible
  2639. 1:25:41value.
  2640. 1:25:42So, please consider subscribing via
  2641. 1:25:44Fountain as well.
  2642. 1:25:46Thank you for your time, and until next
  2643. 1:25:48time.

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