YouTube2Text

The $900 Trillion Trigger That Sends Bitcoin to $1M | Jordi Visser — Transcript

by TFTC · 16,882 words · 2,420 segments · language en · Watch on YouTube

Full transcript

  1. 0:00We know the fiat system is a Ponzi
  2. 0:01scheme. We know there's about 120
  3. 0:03trillion of physical hard currency in
  4. 0:05the world that supports 900 trillion in
  5. 0:07assets. That is a levered Ponzi scheme.
  6. 0:09How do we [music] stop assets from
  7. 0:11falling? If all of a sudden the 900
  8. 0:12trillion tries to come and get liquid,
  9. 0:15what do the central [music] banks have
  10. 0:16to do? They have to come in and print
  11. 0:17money. And what is money? Well, that's
  12. 0:18M2. We're about to unleash the 900
  13. 0:19trillion in liquid form. That's what
  14. 0:21tokenization is. The Ponzi scheme then
  15. 0:22ends. [music] So, whenever I hear people
  16. 0:24in crypto talk about the liquidity
  17. 0:25cycle, that is a myth. That is when
  18. 0:26you're in the speculative phase.
  19. 0:28Tokenization is the key thing. There is
  20. 0:30nothing more important to Bitcoin and to
  21. 0:32[music] the programmables.
  22. 0:38Yeah. No, another So I I'm not sure if
  23. 0:41you saw the Satrini post this morning,
  24. 0:42but it was somebody using Muse and they
  25. 0:46were on a Delta flight that got
  26. 0:47cancelled on the tarmac and he
  27. 0:49immediately went rebook this flight and
  28. 0:50on top of that go find how I can get
  29. 0:53reimbured for this flight that just got
  30. 0:55cancelled within minutes. He had a $250
  31. 0:57credit and the satrin post was like
  32. 0:59number one you're insane to think that
  33. 1:01this is a bubble and this is going
  34. 1:03nowhere. Maybe there are bubbly parts
  35. 1:05but there is true utility here. Uh to
  36. 1:07say there's no use case
  37. 1:09>> is completely asinine. Then number two
  38. 1:12like all those pennies that consumers
  39. 1:15have left on the ground with that like
  40. 1:16$250 credit they're about to get picked
  41. 1:18up by the agents and airlines being a
  42. 1:20perfect example. what happens when
  43. 1:22people start efficiently using their
  44. 1:24miles and taking advantage of the
  45. 1:26refunds they can get.
  46. 1:28>> This is the beginning of the
  47. 1:29deflationary pressure on everything that
  48. 1:32we've talked about. Um you know that
  49. 1:34we've as people realize that AI is
  50. 1:36deflationary to get deflationary for the
  51. 1:39service side you need AI agents because
  52. 1:41the agents make decisions based on
  53. 1:44efficiency and the use of it is just I
  54. 1:47mean that description of what Catrina
  55. 1:49did. You have to think about all the
  56. 1:50frustrating times you've had waiting to
  57. 1:53then rebook something. You get in a line
  58. 1:55when you get off the plane and how long
  59. 1:56the line is and everyone's trying to get
  60. 1:58on one and then you're trying to get a
  61. 2:00refund and you're trying to rebook
  62. 2:01things. All of this stuff will be
  63. 2:02handled. The frustrating part will be
  64. 2:04handled by agents and that's already
  65. 2:06happening and it's happening now. So
  66. 2:08whether it's Metamuse or whether it's
  67. 2:10Instinct AI, there's a reason why these
  68. 2:13things are having an impact now on the
  69. 2:14market.
  70. 2:15>> Yeah. Well, like I was telling you, I
  71. 2:17took Muse for a spin this morning just
  72. 2:18to check it out. Try to book Amtrak.
  73. 2:20Amtrak's a bot. No. But point being,
  74. 2:24it feels like the first like like I said
  75. 2:26it to my wife after playing with it for
  76. 2:2810 minutes. So, it's like, okay, this is
  77. 2:30I don't have to set up a Hermes agent
  78. 2:31for you. Like, this is this is the the
  79. 2:33agent that you can use to coordinate our
  80. 2:36calendars, the boys sports schedule, all
  81. 2:38that. Like, download it and [snorts]
  82. 2:40>> play with it today.
  83. 2:42That's the reason why this has now
  84. 2:44entered a realm for me of time. Um,
  85. 2:50any speaking engagement I'm doing now,
  86. 2:53it all gets back to time. Um,
  87. 2:58you have to think about OpenClaw, which
  88. 3:00is a February thing in terms of like
  89. 3:02adoption. Then you get into Hermes. Then
  90. 3:06you get into Grockbot. Then you get into
  91. 3:09well Astron Claude can already do this
  92. 3:11and we're going to make it easier and
  93. 3:12we're going to embed all this into one.
  94. 3:14So if you used Grockbot, it's a
  95. 3:17completely different situation. You're
  96. 3:19using multiple agents to kind of run
  97. 3:21around and do tasks for you. So it's
  98. 3:22more like an autonomous workforce.
  99. 3:26with Muse and with with Instinct AI and
  100. 3:30a lot of the other private ones. Now
  101. 3:32you're getting into the what we expected
  102. 3:34from Siri and what we expected from
  103. 3:36Alexa. But again, it's the fact that
  104. 3:38we're talking about something that is
  105. 3:40now 7 months. So what has happened is
  106. 3:43the accept the compression of time is
  107. 3:46happening through the model releases and
  108. 3:48through the advancements. The Navier
  109. 3:50Stokes problem, the agent swarm fears
  110. 3:53over you know hackings. These are all
  111. 3:55indications that were, you know, as I
  112. 3:57say repeatedly now, page 71 of
  113. 3:59situational awareness with Leopold shows
  114. 4:02where everything starts to speed up so
  115. 4:04fast that humans can't comprehend the
  116. 4:05change and they can't keep up with it.
  117. 4:07Well, if we can't keep up with it and
  118. 4:10we're starting to get into the
  119. 4:11transaction phase, the Swift system and
  120. 4:14everything that was built for humans
  121. 4:16will not work with the agents and
  122. 4:18they're going to start the demanding
  123. 4:20faster rails.
  124. 4:21>> Yeah. No, it was this morning. I again
  125. 4:25the the the problem with Amtrak. You you
  126. 4:27were describing as a monopoly. It will
  127. 4:29move. But the airlines have moved, but
  128. 4:30imagine when I can load it up with a
  129. 4:33Bitcoin wallet. Like you're going into
  130. 4:35your Bucks, you have Bitcoiners, you
  131. 4:36have the programmable money, then you
  132. 4:38have the incumbents. I'm a Bitcoiner. Uh
  133. 4:40and the beauty about the programmable
  134. 4:43part is like if I want to use Bitcoin as
  135. 4:44my currency, the native digital
  136. 4:45currency, and I don't want to touch
  137. 4:46anything else, I can just give the agent
  138. 4:48a Bitcoin wallet. It's like, "All right,
  139. 4:49go figure out how to convert to the
  140. 4:51preferred currency of the service
  141. 4:53provider or the other agent you're
  142. 4:54buying something from." And
  143. 4:56>> I can see that's where things are going.
  144. 4:58And like I was saying, we're at the
  145. 5:01first stage where the incumbents have to
  146. 5:02realize this and begin rearchitecting
  147. 5:04the infrastructure on the digital side
  148. 5:07they have to enable this because once
  149. 5:08they do, uh, they're going to get a ton
  150. 5:12ton more business, I think.
  151. 5:14>> Yeah. And [snorts]
  152. 5:16again, I I think for people who don't
  153. 5:18see this, and trust me, someone who when
  154. 5:20I speak about these things, I'll
  155. 5:22occasionally go see the uh the the
  156. 5:26comments and the posts and people don't
  157. 5:28connect the agentic side to let's say
  158. 5:30the crypto guardrails and then kind of
  159. 5:32the impact it will have on business. And
  160. 5:34it's surprising to me, but again,
  161. 5:37because I live in it 24 hours a day,
  162. 5:39meaning I'm monitoring how things are
  163. 5:41moving and I'm using the tools and yeah,
  164. 5:43oh, Muse is a thing. let me go sign up
  165. 5:44for it. Okay, Instinct AI, I talk about
  166. 5:46it one week. The amount of people
  167. 5:48reached out and again when Metam Muse is
  168. 5:50the number one downloaded app,
  169. 5:53>> okay, and the numbers are big. You start
  170. 5:55realizing, oh my god, the people who
  171. 5:59aren't paying attention to this, there's
  172. 6:02a million people that have already
  173. 6:03downloaded it. So, it's like this is
  174. 6:05going to grow incredibly rapidly,
  175. 6:07especially when you realize how much
  176. 6:08time it can save you. The money part
  177. 6:11will come second. And that's the thing I
  178. 6:13keep trying to make sure people
  179. 6:14understand. The money thing will come
  180. 6:16second. But this is where you have to
  181. 6:19start realizing, okay, how is crypto
  182. 6:22directly connected
  183. 6:25to agents and that's where you have to
  184. 6:27go back. And that's why the stuff I'm
  185. 6:28talking about now is it was always made
  186. 6:31for digital agents because they're the
  187. 6:33only ones that can utilize the speed and
  188. 6:35they're the only ones who truly care
  189. 6:37about why are we using Visa and
  190. 6:38Mastercard? Why are we doing any of this
  191. 6:40stuff? Why aren't we just going straight
  192. 6:41here, here, here? Let me negotiate. Let
  193. 6:43me go through it. They have the time to
  194. 6:45do it and it's going to be agent to
  195. 6:47agent. The next thing people have to
  196. 6:48think about is how important
  197. 6:49cryptography is in this. How important
  198. 6:51your identity is in this. The ecosystem
  199. 6:53starts to grow rapidly once the agents
  200. 6:56start transacting because then all the
  201. 6:57things that have ever been written about
  202. 6:59and talked about become more important
  203. 7:01because the ecosystem starts to grow in
  204. 7:03terms of volume and velocity and the
  205. 7:05size of the ecosystem is going to grow
  206. 7:07rapidly over the next 12 months.
  207. 7:09>> Yeah. Digging into agents specifically
  208. 7:12[clears throat]
  209. 7:12and how unprepared people are. I don't
  210. 7:16think if most 99.5% of people on the
  211. 7:20planet don't understand that they hear
  212. 7:22AI they think chat GBT like okay
  213. 7:26[clears throat]
  214. 7:26what's the usage looking like when they
  215. 7:28think of usage it's like okay
  216. 7:29downloading Muse talking with Muse uh
  217. 7:32using tokens to do that they don't
  218. 7:34realize that the agentto agent token
  219. 7:36usage has gone exponential and far
  220. 7:38exceeds the the human to LLM token usage
  221. 7:42and that that fact alone I think
  222. 7:44highlights
  223. 7:46the sort of arbitrage that exists in the
  224. 7:49market. The fact that most people don't
  225. 7:50understand that fact uh is extremely
  226. 7:53powerful. It gets to something you've
  227. 7:55been talking about for for many weeks
  228. 7:57now, which is that we're climbing this
  229. 7:59wall where you have a ton of the the the
  230. 8:02layman, the public out there thinking
  231. 8:04that this is a bubble that's going to uh
  232. 8:06pop eventually and they think we're
  233. 8:08going into like a massive economic
  234. 8:11crisis driven by this. But if you look
  235. 8:12at the underlying usage, particularly
  236. 8:14agent to agent, it seems that the
  237. 8:17fundamentals are going not only in the
  238. 8:18right direction but far exceeding what
  239. 8:20anybody thought up to this point.
  240. 8:23Thi this is um
  241. 8:27for anyone listening who falls into the
  242. 8:29the camp of a worrier on AI which is the
  243. 8:33majority of people
  244. 8:35um
  245. 8:37getting an expected value of an
  246. 8:38investment is about lining up all of the
  247. 8:41probabilities outcomes and the upside
  248. 8:44and downside of all of them. So is there
  249. 8:46a bubble aspect? Of course you could
  250. 8:48come up with a bunch of reasons. I I
  251. 8:50mean I to me they're all tail risks of
  252. 8:54things but you're not going to stop the
  253. 8:56progress on AI. You can't we're not
  254. 8:58going to pause it. Like that was stupid.
  255. 9:00Like some everyone's waiting just the
  256. 9:03reaction to the pause in AI from the
  257. 9:05most sophisticated investors in the
  258. 9:06world and I get emails that day. Well
  259. 9:10this is we're going to be down big on
  260. 9:11Monday. I'm like there'll be a knee-jerk
  261. 9:13reaction and it'll be an opportunity to
  262. 9:14buy. And here we are whatever many days
  263. 9:16later we're way through those levels.
  264. 9:18meaning we're way above where it was
  265. 9:20before that news came out. So for
  266. 9:22everyone listening who's worried, the
  267. 9:25expected value, if you break it into a
  268. 9:27binomial situation, let's assume you use
  269. 9:30what I did in my video, there's a 90%
  270. 9:32chance we're headed towards abundance
  271. 9:35and there's a 10% chance that we're
  272. 9:38going to blow up and AI will never
  273. 9:40amount to anything. Okay, in one
  274. 9:42scenario you have a zero, 10% chance of
  275. 9:44a zero. And on the other side, you have
  276. 9:46a 90% chance of something just
  277. 9:50shockingly good. The expected value is
  278. 9:53shockingly good then in terms of the
  279. 9:54combination of the two. Now you can come
  280. 9:56up with all the different scenarios you
  281. 9:57want in between. But the reality is if
  282. 10:00you're worried about the 10%, if you're
  283. 10:02waiting for that story, the debt is too
  284. 10:04big, this and that, I can refute all of
  285. 10:07it. But the only thing you have to make
  286. 10:09sure that you realize every day that the
  287. 10:12process gets bigger. Consumer agents are
  288. 10:14different than enterprise agents. We
  289. 10:16haven't even completed the enterprise
  290. 10:18adoption yet and we're already moving on
  291. 10:19to the consumer agent side. Consumer
  292. 10:22agents are very different than
  293. 10:23enterprise. Enterprise is about
  294. 10:25replacing digital employee or human
  295. 10:28employees and it's through coding. It's
  296. 10:30through APIs and going into, you know,
  297. 10:33using up the amount of compute to figure
  298. 10:35things out. For consumer agents, now
  299. 10:38you're talking about them working 24/7
  300. 10:40to book you a trip to look into this to
  301. 10:42go through all of the permutations. The
  302. 10:44amount of websites they have to touch.
  303. 10:46It's continuous. So consumer agents on
  304. 10:49top of enterprise agents means the
  305. 10:51compute needs just keep growing. So
  306. 10:53again, it gets back to the simple thing.
  307. 10:55All bubbles are about supply being in
  308. 10:59front of demand for the crypto doubters.
  309. 11:03We built the guard rails.
  310. 11:05It's an empty city. As I say, it's a
  311. 11:07ghost city. We we built the
  312. 11:08infrastructure. We've been waiting for
  313. 11:10the users to come. Well, the users are
  314. 11:11coming in the form of agents. And if
  315. 11:13people want to watch one video for the
  316. 11:15rest of the month
  317. 11:17to hear from someone who can take you
  318. 11:20through what's happening at the company
  319. 11:22level and how the ROIC is already
  320. 11:26happening in various forms, not in the
  321. 11:28way you want it, which is when are we
  322. 11:29going to see the revenues coming in? Oh,
  323. 11:31look, Anthropic and OpenAI only have X
  324. 11:33and the hyperscalers only have no John
  325. 11:36Gray from Blackstone gave a talk
  326. 11:37yesterday to his at his event for 30
  327. 11:41minutes. It's on YouTube and he
  328. 11:43literally went through the five
  329. 11:45different ways that his companies of
  330. 11:47which he in is you know has private how
  331. 11:51they're all benefit from AI in five
  332. 11:53different ways to increase their
  333. 11:55profitability which is seeing their
  334. 11:57margins grow and he's taking you through
  335. 11:59those scenarios. I just don't think
  336. 12:00people have really really thought
  337. 12:02thought hard enough about the fact that
  338. 12:04there's a higher probability of a good
  339. 12:05outcome than a bad outcome.
  340. 12:07>> And on the enterprise side it'll be
  341. 12:09interesting to see how that plays out. I
  342. 12:11think we had a a pretty big signal from
  343. 12:15the enterprise. It was last week or the
  344. 12:17week before with Laam and Watkins um
  345. 12:20deciding to buy Nvidia GPUs self-host
  346. 12:24and
  347. 12:25basically ensure that their IP isn't
  348. 12:27being leaked to Anthropic in OpenAI. And
  349. 12:29I don't know exactly how lethan is
  350. 12:33implementing it, but I imagine what
  351. 12:34they're doing is uploading the the
  352. 12:37knowledge base of that firm over the
  353. 12:39course of decades. So like every case,
  354. 12:40every outcome, every bit of research
  355. 12:43they've done that they have stored
  356. 12:44somewhere
  357. 12:45>> in a file system. Just when you're
  358. 12:47talking about enterprise adoption,
  359. 12:48that's I think first before you even get
  360. 12:50into agents, it's like, okay, how do I
  361. 12:52imbue this institutional knowledge that
  362. 12:54we've built up over over decades into
  363. 12:57this system so that the AI can basically
  364. 12:59use that to go achieve our goals and
  365. 13:01that alone is a massive undertaking.
  366. 13:05>> So the question I have is why did it
  367. 13:06take him so long? Um, I've talked about
  368. 13:09Eli Liy. Eli Liy did this a long time
  369. 13:12ago. Um, I think their initial data
  370. 13:15center, privateowned data center with a
  371. 13:18thousand GPUs. I think it's a thousand
  372. 13:20GPUs went up in January. I believe it's
  373. 13:23called Lily Pod. Um they have toune lab
  374. 13:28which is a way for them brilliantly to
  375. 13:30collect other data combine it with their
  376. 13:34data on an anonymous basis but it helps
  377. 13:39them on learn from their data while
  378. 13:41giving biotech companies the ability of
  379. 13:43testing their data on their data on on
  380. 13:46Eli Lilly's data. So if you have a a
  381. 13:50science lab that has all of these
  382. 13:51experiments, the pros and cons that come
  383. 13:53and where everything was going and
  384. 13:55you're just putting in there and seeing
  385. 13:57what the output comes in, you have to
  386. 13:59think about how quickly the Navier
  387. 14:01Stokes thing means that we're getting to
  388. 14:03this. So for a law firm to do it, I
  389. 14:06guess the reason it took so long is
  390. 14:08because they didn't have the money that
  391. 14:09Eli Liy did and they didn't have the
  392. 14:12understanding from being a Fortune 500
  393. 14:14company. And this is why I think there's
  394. 14:16been two levels so far uh that have been
  395. 14:19accelerating. One is the Fortune 500
  396. 14:21companies that have the money or
  397. 14:22adopting very quickly because they can
  398. 14:24just write the check and start going
  399. 14:25through it. But they also have tons of
  400. 14:27tech uh engineers that are high level. I
  401. 14:31don't know if a law firm has that. So
  402. 14:33they have to probably go through a
  403. 14:34consultant that comes in and says what
  404. 14:36they can do and then they decide to do
  405. 14:38it. If they have the money, they make
  406. 14:39the investment. They see the benefits.
  407. 14:41The other side that already is doing
  408. 14:42outside of Fortune 500 companies are AI
  409. 14:44native entrepreneurs. They're the ones
  410. 14:46that have the ability of using open-
  411. 14:48source and not needing to worry about if
  412. 14:51their data is being used because it's a
  413. 14:53tiny little private company that's not
  414. 14:55trying to it doesn't have things to
  415. 14:57protect. It actually needs to grow and
  416. 14:59the only thing they care about is going
  417. 15:01from zero today to a billion revenue in
  418. 15:03in two years and before they could even
  419. 15:05be competed, they'll probably be
  420. 15:06monetized and move on to the next thing.
  421. 15:08>> Yeah. No, I think of [snorts] how we
  422. 15:11implemented at TFTC. Everything we we're
  423. 15:14feeding the model is public anyway. So,
  424. 15:16I don't care if OpenAI or Anthropic sees
  425. 15:19it. But to your point, it is insane.
  426. 15:21Like I was I was uh demoing it last
  427. 15:24night at the at the open party here at
  428. 15:26Pub Key for this Freedom Tech Week and
  429. 15:28uh I b I had my Hermes agents connected
  430. 15:31to our company Brain and I was like,
  431. 15:32"Hey, use the fountain MCP fountains
  432. 15:35where we host our podcast uh for RSS and
  433. 15:38has video." I was like, "Hey, John R and
  434. 15:40I from 10:31 recorded a video this
  435. 15:42morning. We talked about oil markets
  436. 15:44particularly and what people aren't
  437. 15:45seeing like Venezuela imports are going
  438. 15:47up. Uh, it looks like ships are making
  439. 15:50it through the straight at 60%. Go clip
  440. 15:53that and then pull out the juiciest sort
  441. 15:56of quote of that and then a one sentence
  442. 15:58summary of the clip in its entirety
  443. 16:00posted on my ex within 10 minutes. I
  444. 16:02didn't even look at X. It was it was
  445. 16:04posted."
  446. 16:05to talk about efficiency. That would
  447. 16:07have taken probably 2 hours for somebody
  448. 16:09on our team to to go
  449. 16:12>> find it, uh, clip it, get the tweet, get
  450. 16:15the subtitles. And I mean, that utility
  451. 16:19is
  452. 16:21very misunderstood right now for most
  453. 16:23people. And this is just a podcast
  454. 16:26clipping.
  455. 16:27>> Yeah. And again, and for for you guys,
  456. 16:31um, the IP is the using it. Um the AI
  457. 16:36models, they just keep getting better
  458. 16:38and better. The capabilities get better
  459. 16:39and better. And if you're involved in
  460. 16:42them every day, you know to ask, can I
  461. 16:44do this? For people that don't use it
  462. 16:47often, they'll see something in X or
  463. 16:50they'll someone will tell them about
  464. 16:51something and then they'll go in and
  465. 16:53they'll look at it. Then if you're not
  466. 16:55using it every day and knowing that it's
  467. 16:58getting better every single day and
  468. 16:59you're too worried about hallucinations
  469. 17:01and stuff like that, then you're not
  470. 17:02going to use it. If you don't use it,
  471. 17:04you're screwed. Like that's [snorts] the
  472. 17:06plain simple thing. I think the value ad
  473. 17:08for people is not understanding the
  474. 17:11things that AI can do out there. It's
  475. 17:13the ability of just asking the question,
  476. 17:15what can you do today that you couldn't
  477. 17:16do yesterday? And the more that you use
  478. 17:19it for those things, you start going I
  479. 17:21you've watched my my Sunday video for a
  480. 17:23long time. I don't know if you noticed,
  481. 17:26but um I was using a a software OpenB
  482. 17:29for a long time and then all of a sudden
  483. 17:32OpenB
  484. 17:34you know unfortunately startup business
  485. 17:36they closed down and I know the founder
  486. 17:39and it was a sad day. I I really like
  487. 17:41the guy and I was using the software
  488. 17:43because at the beginning when I started
  489. 17:46to do my video which was in 2024 the AI
  490. 17:48capabilities could not really deal with
  491. 17:50it that well and he kept making
  492. 17:53additions to it so that I could use it.
  493. 17:55So from my side it was it'll help him
  494. 17:57and his business by me using it as a
  495. 17:59product showing charts in it and things
  496. 18:02like that.
  497. 18:04But I had to make a switch during the
  498. 18:06summertime and this was like on a
  499. 18:07Wednesday and I put this stuff together
  500. 18:09with inside OpenB. So I had to make a
  501. 18:11complete pivot. So now I'm in a in a
  502. 18:14bind. So I go to
  503. 18:17OpenAI and I ask the question. I asked
  504. 18:19chat GPT, here's what I've been using.
  505. 18:22Here's a sample of the video. Here's the
  506. 18:24way I put it together. I need you to
  507. 18:26reddo my process so that I can have a
  508. 18:28video done by the recording on Friday.
  509. 18:31That's two days for me to have to
  510. 18:33complete a completely new process to do
  511. 18:35something that takes a while. Um,
  512. 18:40it took me through to use Google Slides.
  513. 18:43It now I had never used Google Slides in
  514. 18:45like a big way. I had only used it,
  515. 18:48let's say, five times in my life, but
  516. 18:50it's told me it was the best way to do
  517. 18:52this for a variety of reasons that
  518. 18:53match, which in in hindsight was
  519. 18:55completely true.
  520. 18:57My process has now been reduced by 70%.
  521. 19:01>> Holy crap.
  522. 19:02>> Which is amazing because that means I
  523. 19:04could put the entire thing together, do
  524. 19:06the video on one in 4 hours is now my
  525. 19:09guess. And that is the thing that's
  526. 19:11happened is it's changed. It cla because
  527. 19:15I had this whole database now of OpenB
  528. 19:17slides. I connected to that folder
  529. 19:20knowing that it was going. I uploaded
  530. 19:21everything from OpenB. And now [snorts]
  531. 19:23when I need to find a slide that I've
  532. 19:24used in the past, I just go into co-work
  533. 19:26and go, can you find this slide on
  534. 19:27consumer agents and enterprise agents,
  535. 19:29which I did literally this morning? And
  536. 19:31it gives me the image like this kind of
  537. 19:34stuff you couldn't do 6 months ago. And
  538. 19:37so by asking the question when a when a
  539. 19:40problem comes up, how do I solve this?
  540. 19:42As opposed to panicking and then like
  541. 19:44what am I going to do and try to learn
  542. 19:46on your own,
  543. 19:48you have to have the instinct to just
  544. 19:49know that AI has the solution always.
  545. 19:52And so bringing this back to time,
  546. 19:55how much time do people have to to get
  547. 19:57on this train? And then tying it to the
  548. 19:59wall of worry, too. How fast? I mean,
  549. 20:01you you said it's happening faster than
  550. 20:03we expected, but and humans can't
  551. 20:05understand exponentials. What what do
  552. 20:08you think the next year looks like? And
  553. 20:10what are the opportunity cost if you
  554. 20:11don't move? So, let's let's break this
  555. 20:15down by what people care about each day.
  556. 20:18Um, so number one, their job. I'm I'll
  557. 20:21leave health aside for a second because
  558. 20:23I don't think that has to do with this
  559. 20:25unless you want to go use it. But for
  560. 20:28your job, I don't think you have any
  561. 20:29more time. Um I think every company now
  562. 20:32realizes that they have to use AI agents
  563. 20:34and they can they can the law firm can
  564. 20:39pay for that.
  565. 20:41Maybe let's assume they had a certain
  566. 20:43amount of cash in the partnership
  567. 20:45and the partner sat around and I don't
  568. 20:47know what happened but I'm just saying
  569. 20:49if I was at the place, this is what I
  570. 20:51do. I'd sit around and we go, how much
  571. 20:53money do we have to buy all these GPUs
  572. 20:54and set this up? Um, if we make an
  573. 20:57investment based on the cash that we
  574. 20:58have plus what's coming over the next
  575. 21:00year, what is that going to do from a
  576. 21:02capex perspective? And since it's not a
  577. 21:04public company, they don't have share.
  578. 21:06It's their partnership. They have to
  579. 21:07make the decision. So they go, this is a
  580. 21:08good investment. How are we going to pay
  581. 21:10for it? You don't think they're going to
  582. 21:11pay for it with human beings? Like
  583. 21:14literally the compensation they have and
  584. 21:16maybe it's not from firing people, but
  585. 21:18maybe it's not hiring people over the
  586. 21:19next 5 years cuz they won't need them.
  587. 21:21Maybe it's combination of both. You have
  588. 21:24to understand that with agents comes
  589. 21:27competition for human employees. So, if
  590. 21:30you don't want to be one of the people
  591. 21:33that's let go, if you want to empower
  592. 21:36yourself to go build your own business
  593. 21:37to compete with that firm because you
  594. 21:40don't have the issue they have, you can
  595. 21:42actually just use the public thing and
  596. 21:43grow your business and be a a lawyer.
  597. 21:45You have your your law degree. Just go
  598. 21:46be a lawyer and serve me, Jordy. I need
  599. 21:49I always need a lawyer to help me with
  600. 21:50my business. Um, empower yourself to
  601. 21:53feel that you can be an entrepreneur and
  602. 21:55you can compete with them before they
  603. 21:57get rid of you. And the way to do that
  604. 21:59is to use it. So I I think within the
  605. 22:01next year, if you haven't done the usage
  606. 22:03side, the agency side, the empowerment
  607. 22:04side, I think you're in trouble from the
  608. 22:06investment side and the financial side,
  609. 22:07which is the other thing I try to focus
  610. 22:09on,
  611. 22:11you have to understand that if
  612. 22:12[clears throat] you're worried about AI,
  613. 22:15you're probably also one of the ones not
  614. 22:17using it. There's a high correlation
  615. 22:19between, I'm worried about this being a
  616. 22:21bubble, it's going to hurt my investment
  617. 22:22portfolio, and I'm not using it because
  618. 22:24I don't believe in it. That is the
  619. 22:26denial that people have. And I think on
  620. 22:28the investment side, you're losing money
  621. 22:30every day. The stock market, not
  622. 22:32investing in it, I don't know what
  623. 22:33you're doing with your money. I You
  624. 22:34think it's a bubble, you're reducing it.
  625. 22:36You've got it safe. You can make more
  626. 22:38money investing in the things that
  627. 22:40represent what it's going to look like.
  628. 22:41The infrastructure buildout is going to
  629. 22:43continue. We need compute. It's the
  630. 22:45reason why like I focus people on that
  631. 22:47side. Crypto. Do your homework now on
  632. 22:49crypto. I view this as the beginning of
  633. 22:52an epic move in [snorts] crypto because
  634. 22:54the guardrails
  635. 22:56are valued at zero. And I hate to say
  636. 22:59that to everyone, but the people
  637. 23:01supplying the guard rails are valued at
  638. 23:04zero. And the reason I know that is
  639. 23:06because if you take Ethereum and Bitcoin
  640. 23:08out of the crypto market cap, you're not
  641. 23:10left with a lot. It's less than micron.
  642. 23:13It's less like that is the
  643. 23:14infrastructure side. Now, I do believe
  644. 23:16that Ethereum fits the ecosystem, but
  645. 23:18not in this speculative phase where we
  646. 23:20need the apps being built on top of
  647. 23:22Ethereum. And so, all of these layer 2s,
  648. 23:24the the sum of them is going to go up in
  649. 23:26value because the velocity and the GDP,
  650. 23:29the velocity and the volume of
  651. 23:31transactions is going to go through the
  652. 23:32roof. So, if everything that I just said
  653. 23:35on the work side, you don't use it,
  654. 23:36you're in trouble. on the investment
  655. 23:38side. If you don't understand or believe
  656. 23:39in crypto at this point, so you don't
  657. 23:41believe in AI or crypto, that's a very
  658. 23:44dangerous place to be, folks.
  659. 23:46>> And a lot of people are in that
  660. 23:47position.
  661. 23:47>> Yeah. Mo most are. That's the scary
  662. 23:49thing. Most are.
  663. 23:50>> Yeah. And it's uh so let's let's walk
  664. 23:53through how the order of operations of
  665. 23:55how you see this agentic economy getting
  666. 23:58imbued with agency to a higher degree
  667. 24:03with digital money and smart contracts,
  668. 24:07whatever it may be. because that's uh
  669. 24:09that's one thing I've been asking myself
  670. 24:11because you mentioned crypto and you
  671. 24:13have a bunch of different tokens and
  672. 24:15each of them have a a market cap and
  673. 24:22will that's the question like will
  674. 24:23stable coins win out I fall in the
  675. 24:25Bitcoiner camp so I'm a believer that at
  676. 24:28the end of the day if you're an agent or
  677. 24:30human you're going to want the the most
  678. 24:33salailable
  679. 24:34currency with the biggest market cap
  680. 24:37with the the best money in the digital
  681. 24:39economy. So, I think that's Bitcoin. To
  682. 24:41your point about L2s,
  683. 24:43uh, and things like that, it's pretty
  684. 24:45clear out of the gate, stable coins are
  685. 24:47winning the the agentic commerce stuff
  686. 24:49in the in the very very early days. But
  687. 24:51I wonder, again, going back to what I
  688. 24:52was saying earlier, do agents prefer
  689. 24:55Bitcoin? Um, and does the Bitcoin stack
  690. 25:00have the necessary infrastructure to
  691. 25:02facilitate everything that agents are
  692. 25:05going to want to do, particularly on the
  693. 25:06payment side?
  694. 25:07>> There's no way. So, um, and again, I I'm
  695. 25:10I'm a I have a very unique position on
  696. 25:13this. This is why I love watching the
  697. 25:16fight between the Bitcoiners and the
  698. 25:17programmables. And I want them to try to
  699. 25:19bucket me cuz I'm a
  700. 25:23in the long run
  701. 25:26a Bitcoin maxi.
  702. 25:28But the path to that point and what I
  703. 25:31mean by that is in the end there is only
  704. 25:35one thing left that I can say with
  705. 25:38certainty will not be have their growth
  706. 25:42disrupted. So at the end of the day, all
  707. 25:45tokens going up in value, anything you
  708. 25:47can buy as an individual investor is
  709. 25:49about growth. Everything there are a lot
  710. 25:52of assumptions that come with growth.
  711. 25:55One of them is comp I mean the main one
  712. 25:57is how quickly will competition come in
  713. 26:00to destroy my growth.
  714. 26:02In a world where AI allows things to be
  715. 26:04instantly replicated,
  716. 26:08that time goes to zero. So, if you agree
  717. 26:11with me that any innovation has a
  718. 26:14lifespan that is far shorter than it
  719. 26:16used to be, it's all Jev, you're you're
  720. 26:19you're in a very difficult position
  721. 26:21because the innovator's dilemma is,
  722. 26:24okay, I want to create something. This
  723. 26:25is a great idea. Let me create it. Let
  724. 26:26me hope that there's not 8,000 other
  725. 26:28people doing the same idea at the same
  726. 26:31time because we all know then there's
  727. 26:32not a lot of growth. It's all about
  728. 26:34competition. And my belief is that with
  729. 26:36billions of entrepreneurs and trillions
  730. 26:38of agents all working together over the
  731. 26:41course of the next decade that we will
  732. 26:43get to creative destruction Joseph
  733. 26:46Shumper style that is instantaneous. So
  734. 26:48at the end of the day things will grow
  735. 26:50but who wins in that case? The
  736. 26:52entrepreneur wins if they create
  737. 26:54something and they have a community and
  738. 26:55that token goes from 100 to a thousand
  739. 26:59then it's still a thousand for the rest
  740. 27:00of time. Well, it's kind of like Ford
  741. 27:04stock. So, if everything hits that
  742. 27:06point, why did Ford stock stop growing?
  743. 27:08Because of competition eventually. Um,
  744. 27:11there was a better way to make cars as
  745. 27:12we found out from Tesla and other
  746. 27:14things. So, if you go from 10 to a,000
  747. 27:18[clears throat] and it takes one year,
  748. 27:19but it never grows again. Who wins?
  749. 27:22Only the entrepreneur in the community.
  750. 27:24That's it. And and again, that's all
  751. 27:26that happened for that period of time.
  752. 27:28But then it stops growing. And then what
  753. 27:29does everyone go? Well, I got to go find
  754. 27:31something else to invest in. And this
  755. 27:33just keeps happening and happening and
  756. 27:34happening. Bitcoin to me is the place
  757. 27:37when that investment stops growing and
  758. 27:38you have to go find the next investment.
  759. 27:41Money goes there. If you've invested in
  760. 27:44something, you're worried because it
  761. 27:45could go down in value, too. They might,
  762. 27:46everyone might leave and then all of a
  763. 27:47sudden it goes down. Where does your
  764. 27:49money go? Well, your money goes to
  765. 27:51something safer. That's what happens in
  766. 27:53the S&P 500. People invest in companies.
  767. 27:56All people do. But if you ask them where
  768. 27:59most of their money is, it's not 90% is
  769. 28:01in Tesla, unless they work for the
  770. 28:02company and they don't have a choice and
  771. 28:04they're owning this. Most of their value
  772. 28:06is in moving it into a combination of
  773. 28:086040 and all these different things.
  774. 28:10Well, that is Bitcoin to me. A store of
  775. 28:12value is the diversification you have in
  776. 28:14your life. It's your real estate, it's
  777. 28:16your bonds, it's your stocks, it's your
  778. 28:17private credits. All these things that
  779. 28:18the wealth managers put into a decade
  780. 28:21from now, Bitcoin will be the only thing
  781. 28:22left. So that's the first thing I want
  782. 28:24to say is I I I do believe in that in
  783. 28:26terms of the the L2s. I'm focused on two
  784. 28:29things right now and I'll give two
  785. 28:32companies that are straddling the the
  786. 28:34the Trafi world and the crypto world
  787. 28:39so that everyone can just take these two
  788. 28:41companies and do their research. Stripe
  789. 28:43and Robin Hood, those are the two that
  790. 28:45matter. Stripe from a stable coin basis.
  791. 28:47They're a transactionbased company. Um,
  792. 28:49if you go through their stack of
  793. 28:51companies that they've invested in,
  794. 28:52starting with Bridge
  795. 28:54and going through to the end now with
  796. 28:56Open Router,
  797. 28:59pretty straightforward. Like they're set
  798. 29:01up for the Aentic side, they're set up
  799. 29:03for the stablecoin side. And this was a
  800. 29:04company that honestly was not a believer
  801. 29:07in crypto when you really go back. They
  802. 29:09didn't have a focus on it until the
  803. 29:11bridge
  804. 29:12>> Mhm.
  805. 29:12>> M&A deal. And I think that closed in
  806. 29:15February of 2025. I think we heard about
  807. 29:17it in October of 2024.
  808. 29:19That's a big admission that stable coins
  809. 29:22are going to be a big part of the
  810. 29:23transaction side and they're a company
  811. 29:24that's straddling both worlds
  812. 29:26>> and the premium they paid for they they
  813. 29:27yeah valued bridge of what a billion
  814. 29:29dollars on 10 million in revenue.
  815. 29:30>> Yep. But so you had to imagine
  816. 29:33internally they had an aha moment like
  817. 29:35okay we're going to overpay for this
  818. 29:36>> on both sides the bridge I mean to have
  819. 29:39a deal that comes that high bridge had
  820. 29:41no revenues they had I think the company
  821. 29:43had been around for less than two years
  822. 29:46>> so when you go through the details of it
  823. 29:48and you're like they they negotiated a
  824. 29:52great deal cuz they believed in it
  825. 29:54stripe believed in it you end up with
  826. 29:57open router at this point like why is
  827. 29:59stripe getting involved in open router
  828. 30:00why were trying to buy PayPal. Like
  829. 30:02think about all the things they're going
  830. 30:04through the entire stack of how stable
  831. 30:05coins fit into this and that's the
  832. 30:08agentic side. So that's one side and
  833. 30:10then the Robin Hood side is tokenization
  834. 30:12and tokenization is huge. It has huge
  835. 30:15implications. There is nothing more
  836. 30:17important to Bitcoin and to the
  837. 30:19programmables. So the Bitcoiners and the
  838. 30:21programmables need to just understand
  839. 30:23tokenization is the key thing because
  840. 30:26tokenization unleashes the $900 trillion
  841. 30:30in two ways.
  842. 30:32I wrote a paper this week.
  843. 30:35You you will not have seen it but this
  844. 30:37weekend I'll I'll I'll go through it. Um
  845. 30:42it's really a call out to economists. So
  846. 30:44for everyone who thinks they know how
  847. 30:46economics run, if I said to everyone,
  848. 30:48and this is 99.99% of the people on the
  849. 30:50planet, this is my own unique I've never
  850. 30:52seen this written anywhere. This is a
  851. 30:54new thing. Um,
  852. 30:57how do we stop assets from falling? We
  853. 31:00know the fiat system is a Ponzi scheme.
  854. 31:02We know it's levered. We know there's
  855. 31:03about 120 trillion of physical hard
  856. 31:07currency in the world that supports 900
  857. 31:09trillion in assets. That is a levered
  858. 31:12Ponzi scheme. Okay? Meaning if all of a
  859. 31:14sudden the 900 trillion tries to come
  860. 31:16and get liquid, so they go to sell in
  861. 31:19their money to pay off debts, whatever
  862. 31:20it is, and we have a version of the
  863. 31:22great depression or a mini version of
  864. 31:23the great financial crisis or even
  865. 31:25COVID, then all the assets fall. And
  866. 31:27what do the central banks have to do?
  867. 31:29They have to come in and print money.
  868. 31:31And what is money? Well, that's M2. Why
  869. 31:33do they have to do that? They have to
  870. 31:35reliquify. So whenever I hear people in
  871. 31:37crypto talk about the liquidity cycle,
  872. 31:39I'm always sitting there going, when am
  873. 31:40I going to get my chance to explain to
  874. 31:41them that that is a myth, that is when
  875. 31:44you're in the speculative phase of
  876. 31:46crypto. So for everyone out there, it's
  877. 31:47like it's the liquidity cycle of which
  878. 31:49almost every Bitcoiner is and almost
  879. 31:51every person out there, we need this, we
  880. 31:53need the ism to go, we need all these
  881. 31:54things to happen.
  882. 31:56>> The reality is for me, we're about to
  883. 31:58unleash the 900 trillion in liquid form.
  884. 32:01That's what tokenization is. So what
  885. 32:02happens to M2?
  886. 32:05The Ponzi scheme then ends because now
  887. 32:07you have $900 trillion dollars of assets
  888. 32:11that can theoretically buy a coffee. So
  889. 32:13nobody needs to sell during these little
  890. 32:15mini panics because they already have
  891. 32:18cash. The reason they were selling their
  892. 32:20assets is cuz they needed cash. Well,
  893. 32:22now they can post that money or transact
  894. 32:25that money into whatever debt they have.
  895. 32:28The world changes overnight because
  896. 32:30tokenization increases the M2 in a very
  897. 32:33different form. Now, is it as liquid as
  898. 32:35Bitcoin? No. But can you transfer at
  899. 32:38some price a house instantaneously
  900. 32:41into this? Yeah, pretty close. I know
  901. 32:44this it's not going to take a lot of
  902. 32:45time.
  903. 32:46>> So, that's where the tokenization side
  904. 32:48has a huge impact. So, what Vlad and
  905. 32:50Robin Hood and others, but Vlad in
  906. 32:53particular with the Robin Hood chain,
  907. 32:56this is all preparation for what's going
  908. 32:57to happen with tokenization. So those
  909. 32:59are L2s which again increase the 900
  910. 33:03trillion to come into Bitcoin. It wasn't
  911. 33:07going to happen without the
  912. 33:08programmables. So for every Bitcoiner
  913. 33:10who thought eventually these incumbents,
  914. 33:13as Michael Sailor said, which I agree
  915. 33:14with. You don't find Bitcoin, Bitcoin
  916. 33:17finds you. If you're wealthy, you don't
  917. 33:20need Bitcoin. You don't need to believe
  918. 33:21in it. And so that money needs to come
  919. 33:23over to drive it to a million dollars.
  920. 33:25Sorry everyone, but that's what needs to
  921. 33:26happen. That's what happened with gold.
  922. 33:28Whenever there's a panic, people move
  923. 33:29into gold to hide their money. They need
  924. 33:31to believe their fiat assets are not
  925. 33:33going to work. But that group already
  926. 33:34believes in gold. You need them to
  927. 33:36believe in this. And this whole we're
  928. 33:37going to give the money to our kids and
  929. 33:39they're going to do a thing. That's
  930. 33:40going to take too long. Especially in
  931. 33:41the world I believe in where nobody
  932. 33:42dies. You don't want that to be the
  933. 33:44thing. You actually want the money to
  934. 33:45move over there because of greed. And
  935. 33:47that means that the fiat assets become
  936. 33:50liquid
  937. 33:50>> and everyone goes, "Hey, wait. This
  938. 33:52private credit fund I have that I can't
  939. 33:53get out of, it's now liquid. It's just
  940. 33:55at a 20% discount." Do you know how many
  941. 33:57people would sign up right now for their
  942. 33:59priv to get their money back in private
  943. 34:00credit? How many retail people would
  944. 34:03want their money back and say, "I'm
  945. 34:05never doing this again. Give it to me."
  946. 34:07That's what's going to happen with
  947. 34:08tokenization.
  948. 34:09>> Yeah. You're just running the calculus.
  949. 34:11Okay. If I take a 20% haircut and put it
  950. 34:13in Bitcoin, is Bitcoin going to go up?
  951. 34:1520%.
  952. 34:15>> Yeah.
  953. 34:16>> What's up, freaks? This was brought to
  954. 34:18you by our good friends, the Bitcoin
  955. 34:19team at Block. Bitcoin at Block. Bitcoin
  956. 34:21was originally introduced as a peer-to-p
  957. 34:23peer electronic cash system. We all know
  958. 34:24that the idea wasn't just to buy and
  959. 34:26hold. It's to use Bitcoin in many
  960. 34:27different facets. Holding is one facet.
  961. 34:29Spending, receiving is another facet.
  962. 34:31We've been working towards this for 17
  963. 34:32years. And Block has put together a
  964. 34:34whole ecosystem of companies to really
  965. 34:36bring about the the reality of Bitcoin
  966. 34:37as everyday money. So with Cash App, you
  967. 34:39can buy, spend, send, receive, earn, get
  968. 34:42paid in Bitcoin. Uh when you're trading
  969. 34:44over $2,000, you're not going to pay any
  970. 34:46fees on that. So then there's Square,
  971. 34:48which is helping bring Bitcoin into real
  972. 34:50world commerce. Eligible businesses can
  973. 34:51accept Bitcoin payments over lightning
  974. 34:53with settlement in seconds and 0%
  975. 34:54processing fees. Customers can pay with
  976. 34:56Bitcoin or even dollars over Lightning
  977. 34:58through Cash App and help local
  978. 34:59businesses keep more of every sale. It's
  979. 35:00making Bitcoin payments feel as easy as
  980. 35:02tapping a card. And when you're ready to
  981. 35:04hold Bitcoin, there's Bit Key. It's a
  982. 35:05Bitcoin wallet built for real life. No
  983. 35:07seed phrases. It's a two or three
  984. 35:09multiig, so no single points of failure.
  985. 35:11Uh it has recovery and inheritance uh
  986. 35:13processes and and capabilities built in.
  987. 35:15And the new Bit Key device includes a
  988. 35:17screen so you can verify important
  989. 35:18actions directly on the device before
  990. 35:20approving them. So you know exactly what
  991. 35:21you're authorizing. So together Cash App
  992. 35:22Square and Bit Key are helping make
  993. 35:24Bitcoin easier to earn, save, spend, and
  994. 35:25secure. It's a simple idea. Bitcoin
  995. 35:27works when people can actually use it in
  996. 35:28the way that they want. That's Bitcoin
  997. 35:30at block. Sup freaks. This episode is
  998. 35:32brought to you by Simple Mining. I'm
  999. 35:34sure many of you listening to this right
  1000. 35:35now own Bitcoin and own it the same way.
  1001. 35:38You go on an exchange, you buy it, sweep
  1002. 35:39it to the cold storage, maybe keep it on
  1003. 35:41the exchange, and you pay full price.
  1004. 35:43But there's a smaller group of business
  1005. 35:44owners, family offices, and investors
  1006. 35:46with sharp CPAs that are quietly getting
  1007. 35:48theirs a different way. They own the
  1008. 35:49machines that make it. Here's how it
  1009. 35:50works. You buy the miners at Simple
  1010. 35:52Mining. Simple Mining hosts them, runs
  1011. 35:54them at their facilities in Iowa on
  1012. 35:55industrial power rates you can never get
  1013. 35:57on your own. The Bitcoin they mine goes
  1014. 35:59straight from your machine to your
  1015. 36:00wallet. Two reasons I find this
  1016. 36:01interesting right now. The second one is
  1017. 36:03the one that nobody's talking about. One
  1018. 36:04is the economics. Cheap power. This lets
  1019. 36:06you convert your electricity into
  1020. 36:07Bitcoin at a discount to spot. You're
  1021. 36:09acquiring the asset below the sticker
  1022. 36:11price everyone else pays. Two, and
  1023. 36:13listen closely. If you've had a big
  1024. 36:14income year, you're making a lot of
  1025. 36:15money out there. I know a lot of you
  1026. 36:16freaks are making a lot of money. Miners
  1027. 36:18are classified as computer equipment
  1028. 36:19with the big beautiful bill. Equipment
  1029. 36:21means depreciation. Qualifying buyers
  1030. 36:23can write off the entire purchase in
  1031. 36:25year 1. It's the same playbook real
  1032. 36:26estate investors have run for decades
  1033. 36:28pointed at Bitcoin. Your CPA will want
  1034. 36:30to see this before the end of the year.
  1035. 36:32And with attractive financing available,
  1036. 36:33you can deploy without selling assets to
  1037. 36:35do it. This is not a garage operation.
  1038. 36:36Simple mining runs over 40,000 machines.
  1039. 36:38It was just ranked the fastest growing
  1040. 36:40company in Iowa on the Inc. 5000 chart.
  1041. 36:43We put together a valuable resource
  1042. 36:44called the 2026 Bitcoin mining
  1043. 36:46blueprint. Covers the five mistakes
  1044. 36:48investors make when allocating to mining
  1045. 36:50and how to avoid them before deploying
  1046. 36:51capital. You can access it for free at
  1047. 36:53simplemining.io/tc.
  1048. 36:56That's simplemining.io/tftc.
  1049. 37:01I was
  1050. 37:03for a while uh like a real world t uh
  1051. 37:07asset tokenization
  1052. 37:09bear. never really made sense to me. But
  1053. 37:11then uh you think of stocks and how
  1054. 37:15that's all settled through the DTCC and
  1055. 37:17it's like okay the guardrails
  1056. 37:20um of these these digital assets uh make
  1057. 37:24a lot more sense for this. It makes it
  1058. 37:25way more efficient. And the as we're
  1059. 37:29going through this discussion, the one
  1060. 37:30question I have whether it's the
  1061. 37:32shumpter's creative destruction
  1062. 37:34happening instantaneously or the ability
  1063. 37:36to
  1064. 37:38uh get liquidity for for
  1065. 37:40>> Before you get off of that, I just want
  1066. 37:41to make sure that people since you you
  1067. 37:44didn't see how RWAs would work in this
  1068. 37:48>> I just want you to use the house
  1069. 37:50example. Do you own a house?
  1070. 37:52>> Yes.
  1071. 37:52>> Okay. So when you buy a house, that
  1072. 37:56process is painful and it's long.
  1073. 37:58>> Mhm.
  1074. 38:00>> Once you have it, if your house goes up
  1075. 38:02and doubles in value over the next 6
  1076. 38:04months and you have tremendous equity,
  1077. 38:07which is where most of the country,
  1078. 38:08people right now are trapped in their
  1079. 38:10homes. They're trapped.
  1080. 38:12>> Why are they trapped? Because they don't
  1081. 38:14want to have to reset their mortgage at
  1082. 38:16higher levels. I don't understand how
  1083. 38:18people don't realize that the speed of
  1084. 38:20buying a house or selling a house if you
  1085. 38:22want to sell that house.
  1086. 38:25What better way to sell it than to open
  1087. 38:27it up to all 8 billion people on the
  1088. 38:29planet to buy it? Like I don't that
  1089. 38:32that's there. Why wouldn't you want to
  1090. 38:33sell a house and have it sold in a
  1091. 38:35matter of minutes as opposed to the
  1092. 38:37process that goes on? And people don't
  1093. 38:39believe a house can sell in a minute.
  1094. 38:41Once our digital agents are there and AI
  1095. 38:43agents do all of the paperwork and
  1096. 38:45everything there and they have all the
  1097. 38:46background check and you're identified
  1098. 38:48based on your credit and your collateral
  1099. 38:49and it's all liquid, it's all on chain,
  1100. 38:52everything goes immediate. So that might
  1101. 38:55take another decade, whatever the case
  1102. 38:57is. But when you're investing in
  1103. 38:58something, and I'll use the stupid
  1104. 39:01comment that Jason Calcanis made on, you
  1105. 39:03know, deadcat bounce in Bitcoin and this
  1106. 39:06will never I I literally can't believe
  1107. 39:08that people don't realize that by the
  1108. 39:09time you invest in something that is
  1109. 39:11obvious,
  1110. 39:13the value has gone up 50 times. [snorts]
  1111. 39:16>> You can only invest in things when
  1112. 39:18they're not obvious. What I'm talking
  1113. 39:20about right now to someone who believes
  1114. 39:22in crypto but didn't see the value that
  1115. 39:25tokenization ra would ras would bring.
  1116. 39:29If one person does it and says I sold my
  1117. 39:32house in a matter of minutes far higher
  1118. 39:33price than you did. I had 8 billion bids
  1119. 39:36on it that will change everyone doing
  1120. 39:39it. So again it'll speed it up because
  1121. 39:41money makes people do things. Cost
  1122. 39:43reduction makes people do things. But
  1123. 39:45being trapped in your house with owner's
  1124. 39:47equity right now, not able to get out,
  1125. 39:49everyone would sign up for RWAS right
  1126. 39:51now.
  1127. 39:51>> And so in that example, somebody has to
  1128. 39:53live in the house. But when you say
  1129. 39:54that, you're basically just selling an
  1130. 39:56equity portion or re or getting a
  1131. 39:58heliloc essentially.
  1132. 39:59>> Yeah. If you want to still be in there,
  1133. 40:00you're able to get cash for it by just
  1134. 40:03>> crazy. And it goes further than that. If
  1135. 40:05you're a small business that uh is in a
  1136. 40:08and I have a friend who's in this
  1137. 40:09situation, so he has a business he
  1138. 40:12bought in on Long Island. Are you from
  1139. 40:14No, you're not from Long Island.
  1140. 40:15>> From Philly.
  1141. 40:16>> Philly. Yeah. I know you're in Philly.
  1142. 40:18Giants. I know it was a hard night last.
  1143. 40:19>> No, no, no. I'm a Jets fan. It was a
  1144. 40:20hard night on Sunday. [laughter]
  1145. 40:23>> It's been a hard life. Uh, but I'm done.
  1146. 40:25Knicks won, so I don't really care. Uh,
  1147. 40:29Sixers will get there at some point.
  1148. 40:30This will be the most disappointing year
  1149. 40:32ever. You have everything coming in. So,
  1150. 40:33this will be a very disappointing year.
  1151. 40:35So, let's go back to the equation.
  1152. 40:36[laughter] My friend owns a beverage
  1153. 40:38business that he bought a long time ago.
  1154. 40:41I don't know if you've heard, but kids
  1155. 40:42don't drink beer. He's not allowed to
  1156. 40:44sell liquor. It's like a horrible
  1157. 40:46situation. We were just talking about
  1158. 40:47it. So, let's assume his business is
  1159. 40:49bringing in very little cash,
  1160. 40:52>> but at the same time, he has a value of
  1161. 40:54real estate that's worth $5 million. So,
  1162. 40:57his revenues have gone down. He's trying
  1163. 40:59to make payments cuz he has a belief
  1164. 41:01that the business is going to grow again
  1165. 41:03and he's going to be able to sell
  1166. 41:04something else because he has a license
  1167. 41:06that starts in a year, but he doesn't
  1168. 41:07have the money to keep going. So either
  1169. 41:10he has to go out and borrow money and
  1170. 41:12the banks are going to be like, "Well,
  1171. 41:14you don't have any revenues coming in.
  1172. 41:16Like they're really down. I we can't
  1173. 41:17invest in this business." Or he could
  1174. 41:20just quickly go in and go, I just need
  1175. 41:22money for the next 6 months. So I want
  1176. 41:24to sell off a piece of the business
  1177. 41:26token. You know, I want to sell off a
  1178. 41:28piece of it. He can come back and buy it
  1179. 41:29in 6 months until the revenue comes in.
  1180. 41:32So everything happens in a different
  1181. 41:34form. And again, when you want to go
  1182. 41:35borrow the money, you have to leave your
  1183. 41:37your business. this you have to go out
  1184. 41:39go to the banks you have to go sell them
  1185. 41:40on this you have to prepare all these
  1186. 41:42documents you have to go to seven
  1187. 41:43different banks this is all done via
  1188. 41:46crypto so to me because it's
  1189. 41:48programmable and because agents can do
  1190. 41:50all the work that's where it becomes
  1191. 41:52aligned without crypto agents can't
  1192. 41:54replace that function
  1193. 41:57>> that's the part that becomes important
  1194. 41:58in this whole thing without agents the
  1195. 42:01human would not couldn't use the crypto
  1196. 42:03coordinate
  1197. 42:04>> exactly so agents change the whole
  1198. 42:06mechanism Yeah. No, I'm thinking of uh
  1199. 42:09just pure Bitcoin collateralized loans
  1200. 42:11as the like the the nation
  1201. 42:14>> example of this. Like the ability for me
  1202. 42:15to get a strike, post Bitcoin, get cash,
  1203. 42:18get to my bank account within
  1204. 42:20>> literally minutes is incredibly
  1205. 42:22valuable. So,
  1206. 42:23>> and and that's the way it'll be is
  1207. 42:25everything becomes liquid and you go
  1208. 42:26through. Some things will be more liquid
  1209. 42:27than other things. In the case of the
  1210. 42:29real estate, maybe it takes a day to go
  1211. 42:31through this, but that's better than 60
  1212. 42:33days. It's better than having a vig on
  1213. 42:35it to where you got to pay all this
  1214. 42:36stuff. There's a whole bunch of
  1215. 42:37different ways where you're monetizing
  1216. 42:39something that's already worked out.
  1217. 42:40>> Then you have the agents construct the
  1218. 42:41strategy for the best like manage
  1219. 42:44leverage and
  1220. 42:45>> payback period. Look at your like all
  1221. 42:47right here's the best solution for you
  1222. 42:49considering your current state.
  1223. 42:51>> The the the analogy for everyone to
  1224. 42:53recognize is Uber can't work without the
  1225. 42:57smartphone.
  1226. 42:59Uber can't work without the app store.
  1227. 43:01You can't carry a laptop around and be
  1228. 43:04doing like you needed to have the phone.
  1229. 43:08Agents are the use case for connecting
  1230. 43:11to humans. So the problem is people
  1231. 43:13don't think of agents the same way they
  1232. 43:14think of apps. That's why I, you know,
  1233. 43:17this concept of L2s is very similar to
  1234. 43:20the taxi side. Like there were already
  1235. 43:22taxis. Why do we need Uber? And the
  1236. 43:25question is everyone should ask why do
  1237. 43:27we need Uber? Well, initially it was
  1238. 43:28cheaper, significantly cheaper.
  1239. 43:30Eventually they merged together and the
  1240. 43:32cost of Uber went up. Okay. Why did the
  1241. 43:35cost go up? What happened? Was it
  1242. 43:36regulation? Was it the business? What?
  1243. 43:38Whatever the case was,
  1244. 43:41the agents are the facing side between
  1245. 43:44the humans and the end transactions that
  1246. 43:47go on. So whether it's stable coins or
  1247. 43:49whether it's tokenization, they need
  1248. 43:51agents to be able to do this cuz humans
  1249. 43:52were never going to be able to get on in
  1250. 43:54wallets. That's the thing I think
  1251. 43:55everyone in crypto underestimated, which
  1252. 43:58I still say publicly is is is an issue
  1253. 44:00that can only be solved by agents. It's
  1254. 44:02not easy to set up all these wallets.
  1255. 44:04It's not easy to go in there and just
  1256. 44:06create them. And I guess the side that's
  1257. 44:08good is I'd rather it be difficult
  1258. 44:11because it also means there's a lot of
  1259. 44:13guard rails that are in there to protect
  1260. 44:14privacy and to make it difficult for
  1261. 44:16hackings. And the more hackings that
  1262. 44:18happen, which are happening a lot more,
  1263. 44:20I think you start pricing out the weaker
  1264. 44:22wallets and the agents know not to go to
  1265. 44:24them. So then the agents end up with the
  1266. 44:26better ones. You have to understand like
  1267. 44:28the agents are the ones that reduce the
  1268. 44:30hackings and reduce the vulnerabilities
  1269. 44:32by knowing which ones have already done
  1270. 44:34and when they start making the decision,
  1271. 44:36you start having less problems too.
  1272. 44:38Yeah, there was a Bit Devs developer
  1273. 44:40meeting here uh meet up here last night
  1274. 44:43and that was obviously in Bitcoin. I
  1275. 44:45think Bitcoin is the the ecosystem has
  1276. 44:48been the first target of AI uh initiated
  1277. 44:51hackings. Uh and
  1278. 44:54>> did they talk a lot about it? Yeah, I
  1279. 44:56mean it's been because you had uh Rob
  1280. 44:58Hamilton from Anchorwatch who basically
  1281. 45:01with a a group of other developers when
  1282. 45:05the cold card wallet had an entropy bug
  1283. 45:07that was being exploited by AI
  1284. 45:10um AI attacks, they said, "Okay, if this
  1285. 45:13is happening to cold card," which many
  1286. 45:14people thought, myself included, was the
  1287. 45:18>> gold standard of of Bitcoin hardware
  1288. 45:20wallets. Who else can this happen? So
  1289. 45:22they basically set up a created a
  1290. 45:24harness to go inspect the code of every
  1291. 45:27Bitcoin project that they could find a
  1292. 45:29GitHub for and found hundreds of of
  1293. 45:32[snorts]
  1294. 45:32vulnerabilities within within days and
  1295. 45:36responsibly disclosed to many of the
  1296. 45:38projects that were patched. Point being
  1297. 45:39is we're at we're still at the early
  1298. 45:42stage where humans are fallible. Humans
  1299. 45:46we're finding out in Bitcoin because
  1300. 45:47Bitcoin is the first easy target cuz
  1301. 45:48it's bare asset. if you get it, it's
  1302. 45:51hard to get back.
  1303. 45:52>> Um,
  1304. 45:54and we're hardening the Bitcoin
  1305. 45:55ecosystem right now because of that. And
  1306. 45:57many projects did get hacked over the
  1307. 45:59last six weeks, but many others found
  1308. 46:02critical vulnerabilities first, patched
  1309. 46:04them, and the this system overall has
  1310. 46:07been more robust. We're in this window
  1311. 46:08where the pain is extremely uh extremely
  1312. 46:12hard uh extremely painful. But I think a
  1313. 46:15year from now the ecosystem will be more
  1314. 46:17robust and secure than than it ever has
  1315. 46:19been because of this. And it's funny
  1316. 46:20agents are are doing the work of
  1317. 46:22inspecting the code bases uh presenting
  1318. 46:26patches and and helping to secure all
  1319. 46:28this. But going back
  1320. 46:31to
  1321. 46:34rate of destruction, you're going to
  1322. 46:36have incredible liquidity. You can
  1323. 46:39tap into a market of 8 billion people to
  1324. 46:41sell assets whenever. How do you have
  1325. 46:43stability in this world? Like what does
  1326. 46:45stability look like uh when all this is
  1327. 46:48going on? Cuz the way you describe I'm
  1328. 46:51like, "All right, it sounds awesome, but
  1329. 46:52it also seems discombobulating."
  1330. 46:55Um I I think this is the human tendency.
  1331. 46:58Um, if I asked you when's the last time
  1332. 46:59things were stable. [laughter]
  1333. 47:02Um, you know, when they were for
  1334. 47:04everyone, it was when you were a kid.
  1335. 47:06And it's cuz you didn't know any better.
  1336. 47:08Um, you have more to lose when you get
  1337. 47:10older. You are getting closer to death.
  1338. 47:12Psychologically, you're on a journey and
  1339. 47:15you have kids or you're thinking about
  1340. 47:16having kids. And uh as someone who has
  1341. 47:20four, I can just tell you
  1342. 47:24when my first child was born,
  1343. 47:27uh I went from feeling indestructible
  1344. 47:31like I I don't care about death and like
  1345. 47:34I'm not frightened by dying. When I die,
  1346. 47:37hopefully I've lived a good life. I can
  1347. 47:39only control what I can. And so I try to
  1348. 47:41be in shape. I try to eat well. I try to
  1349. 47:43work out. I try to surround myself with
  1350. 47:45people who bring me joy. all these
  1351. 47:46different things that I've learned over
  1352. 47:48life. But when you have that first
  1353. 47:50child,
  1354. 47:51you're vulnerable because now your job
  1355. 47:53is to protect that child. And it's an
  1356. 47:55instinct that has clearly been handed
  1357. 47:57down biologically to where and I
  1358. 47:59remember feeling it like I drove home
  1359. 48:01from the hospital and I was all of a
  1360. 48:02sudden now as someone who never worried
  1361. 48:04about driving. I was like someone going
  1362. 48:05to hit me. I got on a plane. I was
  1363. 48:06worried about the the plane crashing.
  1364. 48:08Like these instincts start to hit you.
  1365. 48:11So, I think it's normal for people to
  1366. 48:13question how change is going to not be
  1367. 48:17disruptive. Uh, and I don't think humans
  1368. 48:20can possibly be in a world where they
  1369. 48:22all agree. I do believe that when you
  1370. 48:25watch Star Trek and these sci-fi things,
  1371. 48:27the number one take out of the future is
  1372. 48:29that we're still fighting wars and we're
  1373. 48:30still battling for things. We're just
  1374. 48:33changing on this. I think that's an
  1375. 48:35animal instinct that goes on in every
  1376. 48:37single place and people do it for
  1377. 48:40reasons that we can't. So, it's never
  1378. 48:41going to be stable, my friend.
  1379. 48:43[laughter]
  1380. 48:44All right, freaks. You know, I don't
  1381. 48:46take sponsor money from products I
  1382. 48:47wouldn't use myself. So, listen up. The
  1383. 48:48AAN Bitcoin Visa card is one of the most
  1384. 48:50interesting things I've seen in the
  1385. 48:51Bitcoin lending space in a long time.
  1386. 48:53Here's the deal. You can get a line of
  1387. 48:54credit up to a million dollars backed by
  1388. 48:56your Bitcoin without selling a single
  1389. 48:58sat. No games, no annual fees, no
  1390. 49:00minimum draws, and your Bitcoin is
  1391. 49:02custody by Bitco, one of the most
  1392. 49:04trusted names in digital asset security.
  1393. 49:06AAN never lends it out. There's no
  1394. 49:07rehypothecation. You stay in control.
  1395. 49:10You can lock in a fixed rate for up to
  1396. 49:1210 years. 10 years, that's 10 times
  1397. 49:14longer than most lenders out there. Or
  1398. 49:16go interest only for up to 5 years.
  1399. 49:18Rates start at 8.99% APR. For a product
  1400. 49:22that lets you keep your stack and still
  1401. 49:23access liquidity, it's hard to beat. On
  1402. 49:25top of this, guess what? You also get 2%
  1403. 49:27unlimited cash back every time you use
  1404. 49:29the card. Spend fiat, keep your Bitcoin.
  1405. 49:32That's the whole game. If you've been
  1406. 49:33stacking for years and you need
  1407. 49:35liquidity without triggering a taxable
  1408. 49:36event, this is worth a serious look. Go
  1409. 49:39to aaven.com/bitcoin.
  1410. 49:41That's av.com/bitcoin.
  1411. 49:45Check it out. Freaks. Look at me. I'm
  1412. 49:47glowing. I've got like an angel's halo
  1413. 49:49going around me. You know why that is?
  1414. 49:51Is I feel good. I feel taken care of. I
  1415. 49:53feel blessed, healthy, happy. And that
  1416. 49:54is because I'm a Crowd Health member. My
  1417. 49:56family and I have been Crowd Health
  1418. 49:57members for five years now. Literally
  1419. 49:59this month, 5 years ago, we joined Crowd
  1420. 50:01Health. We've had two babies. We've had
  1421. 50:03multiple health events and we're never
  1422. 50:05going back to health insurance. Crowd
  1423. 50:06Health is crowdfunded healthcare. So,
  1424. 50:09you you sign up for Crowd Health. You
  1425. 50:10pay a monthly fee. You help out with
  1426. 50:12other people's bills. Uh, and it's
  1427. 50:15significantly cheaper than health
  1428. 50:16insurance. We were on Cobra as a family
  1429. 50:18of three. When I when I left my last job
  1430. 50:20before I went full-time to CFTC, went on
  1431. 50:23the Crowd Health. Now, as a family of
  1432. 50:25five, we pay uh I I believe $700 a
  1433. 50:28month. It's significantly cheaper.
  1434. 50:30They're going to negotiate prices lower
  1435. 50:31for you. They've consistently negotiated
  1436. 50:34healthcare prices as much as 50, 60, 80%
  1437. 50:37in many cases. They help out with
  1438. 50:39babies. If you have a pregnancy, you pay
  1439. 50:41the first $3,000 and the crowd covers
  1440. 50:43the rest. Um if you have a regular
  1441. 50:45health event, you pay $500 and the crowd
  1442. 50:48pays the rest. Go to joincrowalth.com.
  1443. 50:50Sign up today. Use the code TFTC. Opt
  1444. 50:52out of health insurance. I'm on insured
  1445. 50:54baby and I love it. Use the code TFTC at
  1446. 50:56joincrowalth.com and you'll get $99 a
  1447. 50:59month for the first three months that
  1448. 51:00you're on the crowd platform in the
  1449. 51:03community. Bitcoiners, you found
  1450. 51:04sovereign money. Now find Sovereign
  1451. 51:06Health and Sovereign Healthcare. Yeah,
  1452. 51:08the pace of the the volatility seems be
  1453. 51:11increasing. And bringing this back to
  1454. 51:14the beginning um the beginning of the
  1455. 51:16conversation, we were mentioning the
  1456. 51:17slowdown. That's one thing I forgot to
  1457. 51:18bring up, but the administration,
  1458. 51:22everything we've talked about really is
  1459. 51:26somewhat dependent on the at least for
  1460. 51:28Americans, for the US government to be
  1461. 51:31be on board with this. And it seems like
  1462. 51:32the Trump administration is on board,
  1463. 51:35not only with the AI stuff, but crypto
  1464. 51:37as well. Clarity Act failed, but the
  1465. 51:39SEC, the CFTC, the OC are rulemaking
  1466. 51:41anyway. They're not waiting for a bill.
  1467. 51:43And then on the slowdown news, everybody
  1468. 51:46was worried like, "Oh gosh,
  1469. 51:47>> we're going to stop this." And then
  1470. 51:48Trump comes out with a post like, "No,
  1471. 51:50we're not selling that. Slowing down,
  1472. 51:51actually accelerate, lean in, stop being
  1473. 51:53a pansy." And I think uh love them or
  1474. 51:57hate them,
  1475. 51:59I think at this particular juncture for
  1476. 52:00US history, it's important that this
  1477. 52:03administration has this this purview and
  1478. 52:05they're they're enabling this. How
  1479. 52:07important do you think that is?
  1480. 52:09I I think it's important, but I don't
  1481. 52:11think um I think the voters voted for
  1482. 52:15this. Um I think crypto was a major part
  1483. 52:18of his win. Uh I don't think it gets
  1484. 52:22brought up enough as to the the impact
  1485. 52:25it had on the election, but it did. I
  1486. 52:27mean, the numbers are there, the stats
  1487. 52:28are there. You know, crypto packs that
  1488. 52:31put money into elections had a huge
  1489. 52:33success. And so I think uh by bringing
  1490. 52:38in a a Treasury secretary who quotes
  1491. 52:40Satoshi who's pro Bitcoin to bring in a
  1492. 52:43Fed chair who's pro Bitcoin um I think
  1493. 52:47when you go throughout the
  1494. 52:48administration he tried to create bring
  1495. 52:50on people that were pro this and
  1496. 52:53whatever his rationale behind it is I I
  1497. 52:56didn't get the impression that he had a
  1498. 52:58vision for it. He just knew that the
  1499. 53:00people wanted it. He did have a belief
  1500. 53:03in the distribution of of of wealth as a
  1501. 53:06major issue in the country and bringing
  1502. 53:07back manufacturing. Now, if you think
  1503. 53:10about what's happening, that is what's
  1504. 53:12happening. Meaning,
  1505. 53:15we do have a lot of jobs being created
  1506. 53:17in the construction side. The middle
  1507. 53:19part of the country is benefiting from
  1508. 53:20the data centers and from the gas and
  1509. 53:22from all of the things that go on. I'm a
  1510. 53:25big believer that entrepreneurs are
  1511. 53:26going to have a huge impact. If I could
  1512. 53:29be long something right now which
  1513. 53:30doesn't exist. I want to be long the 200
  1514. 53:34million entrepreneurs that are happening
  1515. 53:36and coming in the country. I want an
  1516. 53:37index of that. I don't want the S&P 500.
  1517. 53:39I want this AI native world of
  1518. 53:42entrepreneurs. I don't want the Russell
  1519. 53:442000. I don't want any of that stuff. I
  1520. 53:45don't want public companies. I actually
  1521. 53:47believe that the growth is coming. Now,
  1522. 53:50where do I play that? I play that
  1523. 53:51through crypto and I play it through AI.
  1524. 53:53So, those are the ways that I play that
  1525. 53:56situation right now. So rather than get
  1526. 53:58into um whether the administration got
  1527. 54:01lucky, whether they made whether they
  1528. 54:04the voters did it, I think the reality
  1529. 54:06is that it's happening and they've by by
  1530. 54:10speeding up the AI side by making it
  1531. 54:12more tax efficient for the hyperscalers
  1532. 54:15to take out the debt and be able to
  1533. 54:17depreciate over a longer time period was
  1534. 54:19a huge thing. It accelerated AI
  1535. 54:21development. Crypto is directly
  1536. 54:23connected to when we got the AI
  1537. 54:25development. Leopold wrote in
  1538. 54:27situational awareness which came out
  1539. 54:29after
  1540. 54:31No, it came out before Trump was
  1541. 54:33elected. So it came out during the
  1542. 54:35election period and only a couple
  1543. 54:37months. I think it came out June of 24.
  1544. 54:39Trump spoke at the Bitcoin event in was
  1545. 54:41it Nashville in July? So it was before
  1546. 54:43that. If you go back and look at that
  1547. 54:45point, Leopold thought we would hit the
  1548. 54:47point we're at now sometime in 2027. The
  1549. 54:50fact that we hit it in 2026 to me is a
  1550. 54:52direct correlation with the
  1551. 54:54administration saying that AI is a
  1552. 54:57focus, reducing the timeline on things
  1553. 54:58and basically giving people the rules
  1554. 55:00that for the next four years you can run
  1555. 55:02as fast as you want on AI and you have
  1556. 55:04my blessing. For the crypto crew, it's
  1557. 55:07the same thing. The Genius Act was
  1558. 55:09critical. As much as clarity is
  1559. 55:11important, like you said, you can kind
  1560. 55:12of get around that, which they've
  1561. 55:14gotten. And then once it's going
  1562. 55:16tokenization and stable coins and
  1563. 55:18everything accelerating, which is going
  1564. 55:19to be accelerated by the agents by the
  1565. 55:20time we get to the next election, it'll
  1566. 55:22again be a focal point and no one's
  1567. 55:23going to want it to go backwards if it's
  1568. 55:25reducing the cost of people to live
  1569. 55:28their lives. And I think that's what's
  1570. 55:30going to happen. And one more thing that
  1571. 55:31fits in with it. So when we get back to
  1572. 55:33the stability side, it kind of directly
  1573. 55:35comes back to the polarizing situation
  1574. 55:37of of of politics.
  1575. 55:39Like I said, there's a polarizing situ
  1576. 55:41with inside crypto, the Bitcoiners and
  1577. 55:44the programmables. And I wish everyone
  1578. 55:45could all get along together, but for
  1579. 55:46some reason, I go on Bitcoin podcast and
  1580. 55:49well, we don't really say crypto or we
  1581. 55:51don't get involved. I'm like, I don't
  1582. 55:53understand this whole thing. I'm new to
  1583. 55:54the party, guys. I'm looking at this as
  1584. 55:56everyone's going to win. This fits back
  1585. 55:58into the question of stability. If I
  1586. 56:00said to you, you're going to have chaos
  1587. 56:03that's been just like the last 50 years.
  1588. 56:05It won't be World War II and it won't be
  1589. 56:07the Great Depression, but what you've
  1590. 56:09gone through the last 30 years is going
  1591. 56:12to continue. That chaos that you
  1592. 56:14describe it as. But here's the benefit
  1593. 56:16that comes with you signing up for that.
  1594. 56:18You're going to live for another 300
  1595. 56:19years. If that's what happens, like
  1596. 56:23isn't that kind of the the the the quidd
  1597. 56:26proquo of like you got to give up
  1598. 56:28something, you're going to get
  1599. 56:29something. I think when people look at
  1600. 56:31what the administration has been able to
  1601. 56:32do, I think you have to put in the
  1602. 56:34context of if you believe AI is going to
  1603. 56:37solve lots of problems and be dangerous
  1604. 56:39at the same time and create lots of
  1605. 56:40chaos. If the end result is living a lot
  1606. 56:43longer, a healthier life, being able to
  1607. 56:44see your kids grow up, that's a pretty
  1608. 56:46good, you know, sign on the dotted line
  1609. 56:49with the devil as to the outcome that's
  1610. 56:51good.
  1611. 56:51>> You think we're going to live to be 300?
  1612. 56:53>> I I Marty, you can go back and read
  1613. 56:57writings from me for a long time.
  1614. 56:59[laughter] Um, do I believe in the
  1615. 57:02exponential innovation and the solution
  1616. 57:04of people not aging? Absolutely. It's a
  1617. 57:06math problem. Um, so do I think 300,
  1618. 57:10150, whatever the case is. It's hard for
  1619. 57:12people to imagine, but if I would have
  1620. 57:13told you that we'd have smartphones in
  1621. 57:15our hands 25 years ago doing the stuff
  1622. 57:17they're doing. If I told you that we'd
  1623. 57:19be solving math problems that Einstein
  1624. 57:22couldn't solve and that have been around
  1625. 57:23for 150 to 175 years in a matter of 88
  1626. 57:28hours.
  1627. 57:29>> Do I think we're going to solve the
  1628. 57:31world's greatest science problems? Yeah.
  1629. 57:33What is the difference between saying
  1630. 57:34we're going to have people living on
  1631. 57:35Mars and living to 300? Like what's the
  1632. 57:38where where does it get too crazy? So,
  1633. 57:40yes, I do.
  1634. 57:41the wild world. Where are the
  1635. 57:43bottlenecks? So, obviously compute, we
  1636. 57:45think compute usage, it already is going
  1637. 57:46up exponentially. We're only on the
  1638. 57:48cusp. Muse just dropped. I think that's
  1639. 57:50going to have massive
  1640. 57:52>> Yeah.
  1641. 57:53>> Uh is going to lead to a massive growth
  1642. 57:55in demand for for these tokens.
  1643. 57:59Is that the biggest bottleneck right
  1644. 58:00now?
  1645. 58:01>> Biggest bottleneck is is humans. Um, you
  1646. 58:04said it like everyone's worried the
  1647. 58:06politics are making it a major issue.
  1648. 58:08like the data centers can't be happening
  1649. 58:10because they make up stuff about them
  1650. 58:12and don't actually provide people with
  1651. 58:14the right facts because the Chinese, the
  1652. 58:17Russians, the Iranians, and anyone
  1653. 58:18that's at either war or in competition
  1654. 58:20with us wants our politics to be
  1655. 58:22polarizing can just put something, you
  1656. 58:24know, can take the the anthropic guy
  1657. 58:26that worked there for 6 weeks and get
  1658. 58:28him 170 million views on X, which is
  1659. 58:31clearly part politics, part geopolitics
  1660. 58:34in terms of the ability of making this
  1661. 58:36viral. uh humans are the biggest
  1662. 58:39friction and physics are number two but
  1663. 58:42they're they go hand in hand and so this
  1664. 58:43is going to in a good way this will have
  1665. 58:47it go somewhat slower because I think
  1666. 58:49the humans are doing the right thing
  1667. 58:51with the pause in AI not not that
  1668. 58:54they're pausing the development
  1669. 58:57but the pause in releasing them and I
  1670. 59:00think one thing everyone should think
  1671. 59:01about and this is important for fiat
  1672. 59:03assets in general meaning for stocks
  1673. 59:06Alex Karp was on CNBC last week and
  1674. 59:12he talked about the fact it's just a
  1675. 59:14matter of time within the next year that
  1676. 59:15OpenAI is nationalized.
  1677. 59:18>> Yeah.
  1678. 59:19Now, I've said this publicly, too, where
  1679. 59:22not specifically them, but I've said to
  1680. 59:24investors and I've said it in writings
  1681. 59:26that it's like, where is the line
  1682. 59:27between something that's so powerful
  1683. 59:29that it could take down the entire
  1684. 59:31system, which is what these guys wrote
  1685. 59:33about, which they believe if you take
  1686. 59:35the internet down, we're all in trouble.
  1687. 59:37And they were saying that this is
  1688. 59:40possible. Like, not just possible, like
  1689. 59:42it is possible. It was happening with
  1690. 59:44some of their things. It's not that it
  1691. 59:45was taking it down, but it was creating
  1692. 59:46these little places that you don't know
  1693. 59:48they exist. So, I want people to think
  1694. 59:50about like when you get a virus in your
  1695. 59:52body.
  1696. 59:54>> You don't find out until the symptoms
  1697. 59:56start showing up. Like, it's in there.
  1698. 59:58Like, you could be you could be sick
  1699. 59:59now. You don't know.
  1700. 1:00:01>> Eventually, your body starts showing the
  1701. 1:00:02thing that that swarm outcome of hugging
  1702. 1:00:05face that was a symptom. That was a hey
  1703. 1:00:09um we got to take some medicine for
  1704. 1:00:11this. So, the pause is related to it. So
  1705. 1:00:13I do think what Alex Karp said is is a
  1706. 1:00:16very real possibility. And the problem
  1707. 1:00:17is if a pri if the most important public
  1708. 1:00:20company in the world
  1709. 1:00:22can be privatized.
  1710. 1:00:25Again this is very powerful for
  1711. 1:00:26entrepreneurs.
  1712. 1:00:28It's very powerful for crypto. It is
  1713. 1:00:31very negative for public companies in my
  1714. 1:00:33opinion to have that kind of situation
  1715. 1:00:35because then the question is where's the
  1716. 1:00:36line for anyone? They've been investing
  1717. 1:00:38in Intel. They mean once it gets to the
  1718. 1:00:40point that it's that powerful it's a
  1719. 1:00:41military weapon. I don't know where they
  1720. 1:00:43don't get too involved in things. So, I
  1721. 1:00:45think that was an important statement.
  1722. 1:00:47Yeah.
  1723. 1:00:51>> Yeah. The stakes are so high. I'm just
  1724. 1:00:52thinking cuz and then because the next
  1725. 1:00:55topic I wanted to bring up is robotics
  1726. 1:00:56and I'm just thinking like okay like
  1727. 1:00:58we're worried about uh stuff happening
  1728. 1:01:01these these swarms
  1729. 1:01:03uh getting getting into the digital
  1730. 1:01:06world with robotics. It's a whole
  1731. 1:01:08another thing is that enters the
  1732. 1:01:09physical and it's
  1733. 1:01:11>> Yeah. And yeah, and you talk because I
  1734. 1:01:13wanted to bring up robotics in terms of
  1735. 1:01:15like token consumption and the
  1736. 1:01:17opportunity that exists there and how
  1737. 1:01:19how how much is that going to balloon
  1738. 1:01:21the the usage of of these GPUs and then
  1739. 1:01:24you I now I'm scatterbrain but like
  1740. 1:01:27bringing back open router like what is
  1741. 1:01:28the market for these tokens even look
  1742. 1:01:30like uh at the end of the day is the way
  1743. 1:01:33that we're going and buying $200 a month
  1744. 1:01:35subscriptions at all these different
  1745. 1:01:38model providers will look back at that
  1746. 1:01:40and like I was completely antiquated
  1747. 1:01:42In the future, will we even know what
  1748. 1:01:43models we're using or will there just be
  1749. 1:01:46open router like companies that that
  1750. 1:01:48emerge and do all that for you?
  1751. 1:01:51>> I I it's very hard. Um
  1752. 1:01:54so first on the progression of compute
  1753. 1:01:56needs for everything and and now we're
  1754. 1:01:58talking about the edge. So currently
  1755. 1:02:00we're doing everything token wise in the
  1756. 1:02:02cloud onrem is starting. So when you
  1757. 1:02:05start getting into the law firms or you
  1758. 1:02:06start getting into um into Eli Liy, well
  1759. 1:02:09they're building their own compute
  1760. 1:02:11providers that way. Think of this as the
  1761. 1:02:14only analogy I can come up with is um
  1762. 1:02:17when we went from an agrarian economy to
  1763. 1:02:19an industrial economy and John Gray
  1764. 1:02:22included this kind of visual back in in
  1765. 1:02:24the presentation I mentioned that's
  1766. 1:02:25that's on YouTube and that was in 1870
  1767. 1:02:29to to 1900. So if you go back to the
  1768. 1:02:32days of when like when we were truly
  1769. 1:02:35agrarian,
  1770. 1:02:37we built crops, you know, we we raised
  1771. 1:02:39crops to feed our community and that's
  1772. 1:02:41what we did. Now there were little jobs,
  1773. 1:02:43there were blacksmiths, there were stuff
  1774. 1:02:45like that, but eventually you get into
  1775. 1:02:46industrialization and you get
  1776. 1:02:47urbanization and you speed up this whole
  1777. 1:02:49process. When I would travel to China
  1778. 1:02:50and I saw the ghost cities, that was
  1779. 1:02:52urbanization. They were still an
  1780. 1:02:53agrarian economy that was now trying to
  1781. 1:02:56get everyone to go to the city because
  1782. 1:02:57when you go to the city then you have
  1783. 1:02:58more economic growth and people get
  1784. 1:03:00wealthier and all these things. And so I
  1785. 1:03:01witnessed this whole thing happen in
  1786. 1:03:03China. I watched them build eight lane
  1787. 1:03:05highways when you're like there's no
  1788. 1:03:07cars. Everybody's in a rickshaw. They
  1789. 1:03:09were building for the future and how
  1790. 1:03:11fast they were going to invest in this.
  1791. 1:03:12So with compute the only analogy I can
  1792. 1:03:16give is that when you go from the
  1793. 1:03:18agrarian to the industrial what ended up
  1794. 1:03:19happening? We saw an explosion in people
  1795. 1:03:21people on the on the on the planet. So
  1796. 1:03:24you go from we're feeding our community,
  1797. 1:03:26all the food we need is here. Now we're
  1798. 1:03:28going to the cities. We're exploding the
  1799. 1:03:30population. When I say exploding it,
  1800. 1:03:32we're going from less than a billion
  1801. 1:03:33people to where we are today.
  1802. 1:03:35>> Mhm.
  1803. 1:03:36>> An extra 7 billion, seven times. And
  1804. 1:03:38we're shrinking farming. So if
  1805. 1:03:41everyone's leaving being a farmer and
  1806. 1:03:42now they're going to work in the cities,
  1807. 1:03:44how the hell do we feed everyone? Those
  1808. 1:03:46people need food. Everybody. So what do
  1809. 1:03:49AI agents and humanoids need? They need
  1810. 1:03:51food and their food is compute. So we're
  1811. 1:03:54at the very early stages. And if you go
  1812. 1:03:56back to the agrarian example, there's
  1813. 1:03:57less than a billion agents. There's less
  1814. 1:03:59like we're at the very early stage. So
  1815. 1:04:01whenever people tell me we're going to
  1816. 1:04:02be over supplied in compute, I'm like
  1817. 1:04:04you don't know what you're saying. Like
  1818. 1:04:06this didn't exist. We have to feed now
  1819. 1:04:08trillions of agents. So every day
  1820. 1:04:11enterprise agents come on. Like I said,
  1821. 1:04:13well now we're going to have the next
  1822. 1:04:15phase which is consumer agents. Then
  1823. 1:04:18behind that we have FSD, we have
  1824. 1:04:21[snorts] humanoids. Well, that's the
  1825. 1:04:23same as the other agents. No, that
  1826. 1:04:24brings vision in like they need to work
  1827. 1:04:27in the world. So adding vision into the
  1828. 1:04:30compute needs for a car to make
  1829. 1:04:33decisions on the fly for a humanoid to
  1830. 1:04:36see that grandma needs needs her
  1831. 1:04:39medicine and it needs vision and it
  1832. 1:04:41needs to understand and learn as it goes
  1833. 1:04:43through it. So you're talking about
  1834. 1:04:46compute needs that are far greater than
  1835. 1:04:47what humans can comprehend. And these
  1836. 1:04:49are facts as to what's coming. The
  1837. 1:04:50humanoids are not a distant thing. Like
  1838. 1:04:52they're here today. The FSD is here
  1839. 1:04:54today. So whenever I just kind of think
  1840. 1:04:57of people, I'm like, we're only in the
  1841. 1:04:58first inning of the compute needs. So to
  1842. 1:05:00your point, the humanoids and the
  1843. 1:05:02robotics have a huge impact on the
  1844. 1:05:04compute needs, which is why the
  1845. 1:05:05investment side for the memory names for
  1846. 1:05:06the semiconductors, all that. Why I have
  1847. 1:05:08my 100 name portfolio. It's like, guys,
  1848. 1:05:10this isn't over. We're just at the next
  1849. 1:05:13stage. And consumer agents are starting
  1850. 1:05:14now. And that's why Meta was up 13% on
  1851. 1:05:17Monday because people were like, "Wow,
  1852. 1:05:18this is the most downloaded app." What
  1853. 1:05:19do they do? Consumer agents. Wow, we're
  1854. 1:05:20at consumer agent time. What does that
  1855. 1:05:22mean? And now they're starting to look.
  1856. 1:05:23AMD is up. Intel's up. Oh my god, we
  1857. 1:05:25need more semis. So,
  1858. 1:05:26>> yeah. Energy. Do we have enough energy?
  1859. 1:05:29Are we building it fast enough? The
  1860. 1:05:31infrastructure.
  1861. 1:05:32>> Um,
  1862. 1:05:34so on the one side, if you assume static
  1863. 1:05:37innovation, uh, we're in trouble.
  1864. 1:05:41If you assume innovation, we have
  1865. 1:05:44plenty. Um, and let me let me before
  1866. 1:05:47people go, he's wrong. Go through it.
  1867. 1:05:49No, we have plenty of power inside the
  1868. 1:05:51United States for all of the compute I
  1869. 1:05:53just said, at least for the next 3
  1870. 1:05:54years, assuming it doesn't go parabolic.
  1871. 1:05:56Probably the next five. Where's it going
  1872. 1:05:58to come from magically? The grid. The
  1873. 1:06:00grid's old. We don't have enough. Yes,
  1874. 1:06:02we do. We just can't use it efficiently.
  1875. 1:06:05We have double the amount of capacity
  1876. 1:06:08because we can't run it at full. And if
  1877. 1:06:10people don't know that, they should go
  1878. 1:06:11look it up. So you have to think of
  1879. 1:06:13novel solutions and what AI could bring
  1880. 1:06:15because that's the thing people
  1881. 1:06:16underestimate is when you're in
  1882. 1:06:18exponential innovation, they extrapolate
  1883. 1:06:20linearly out. It's like no, no, no.
  1884. 1:06:22Along the way, we're going to solve
  1885. 1:06:23problems. Where does Navier Stokes fit
  1886. 1:06:26in that whole thing?
  1887. 1:06:28Fluid dynamics. Okay. Well, that has an
  1888. 1:06:31impact on gas turbines, has an impact on
  1889. 1:06:34boats, on planes. Also has an impact on
  1890. 1:06:37batteries. You know how important
  1891. 1:06:39batteries are to the grid? If [snorts]
  1892. 1:06:41right today we could have a bunch of
  1893. 1:06:43batteries, we could plug everyone into
  1894. 1:06:45the grid and not have a problem. One of
  1895. 1:06:47the reasons why Bitcoin miners have
  1896. 1:06:49become more attractive in certain states
  1897. 1:06:50like Texas, cuz they're like, "Wait a
  1898. 1:06:51second. So you guys can use the grid
  1899. 1:06:55when no one else is using the grid, but
  1900. 1:06:57then you can turn it off because when
  1901. 1:06:59the power goes up, it's a bad arbitrage
  1902. 1:07:00for you guys. You guys are actually like
  1903. 1:07:02a a synthetic like group that's good for
  1904. 1:07:06the the grid." Yep. They are. So that's
  1905. 1:07:08one of the reasons why Bitcoin miners
  1906. 1:07:10have become more of an interesting part
  1907. 1:07:12of this. And again, how crypto is
  1908. 1:07:14connected to AI in various ways. Here's
  1909. 1:07:16the other place. When you're in this
  1910. 1:07:19situation, if you take the batteries and
  1911. 1:07:20you connect to the grid and you store
  1912. 1:07:22all that power, then you can throttle,
  1913. 1:07:25you can just run it all the time and
  1914. 1:07:26fill it up. And then if we ever need
  1915. 1:07:28that point because there's a a a weather
  1916. 1:07:30event or something that drives the
  1917. 1:07:32demand up because the temperatures go up
  1918. 1:07:34to 150 in Texas and everyone's sitting
  1919. 1:07:36there and they got their air conditioner
  1920. 1:07:37running all the day and you're okay, the
  1921. 1:07:39grid's going to go down. Oh no, we'll
  1922. 1:07:40just use the battery that we have stored
  1923. 1:07:42for the next year. Now to have that just
  1924. 1:07:44like you had to do with Tesla when they
  1925. 1:07:46created the cars and the batteries,
  1926. 1:07:48there was no novel solution, but we went
  1927. 1:07:50from people doubting an electric car to
  1928. 1:07:53where we are today. When they first came
  1929. 1:07:55out, I think there was 20 miles of
  1930. 1:07:57distance or something like that. Go back
  1931. 1:07:58and read the original Roadster thing and
  1932. 1:08:00how far you could go. But the reason it
  1933. 1:08:02was not a viable solution is because you
  1934. 1:08:05couldn't drive it that far. You could
  1935. 1:08:06drive it around the corner, show show it
  1936. 1:08:08off, and then you had to come back and
  1937. 1:08:09plug in again. And the plugging in took
  1938. 1:08:11a long period of time because there were
  1939. 1:08:12no chargers. Now, fast forward, the car
  1940. 1:08:15gets 400 miles of range. The chargers
  1941. 1:08:18are everywhere. So, I don't think people
  1942. 1:08:19are thinking enough about how batteries
  1943. 1:08:21are a solution to the energy problem.
  1944. 1:08:23And now I have full confidence, full
  1945. 1:08:25confidence that between that, the
  1946. 1:08:28innovations that have already happened
  1947. 1:08:29this year to allow us to build things
  1948. 1:08:32behind the meter, which was not a thing
  1949. 1:08:33before Colossus, all of these
  1950. 1:08:36innovations are coming, my friend. Yeah,
  1951. 1:08:38that's uh it's funny how the Bitcoin
  1952. 1:08:42mining industry I've been in it for
  1953. 1:08:45eight years now and we went through
  1954. 1:08:48discovering all this and now watching
  1955. 1:08:50the world wake up to what we've been
  1956. 1:08:51beating the the table over for for
  1957. 1:08:54probably [snorts] 6 years since the uh
  1958. 1:08:57right before the Chinese mining ban
  1959. 1:08:58particularly with demand response it's
  1960. 1:09:00like yes we've been telling you and
  1961. 1:09:02behind the meter even that's what uh I
  1962. 1:09:05was in oil fields in North Dakota
  1963. 1:09:08I wasn't personally, but I the company
  1964. 1:09:09that uh that I I worked for from 2018 to
  1965. 1:09:132021, we did flare gas mining. So, we'd
  1966. 1:09:15bring generators on a well pad, take the
  1967. 1:09:18gas, scrub it, put it through a
  1968. 1:09:19generator, mine Bitcoin with it. And
  1969. 1:09:22there's a ton and it's been interesting,
  1970. 1:09:24too. This is talking about the
  1971. 1:09:26convergence of crypto and AI, Bitcoin,
  1972. 1:09:29AI. It happens in something we're
  1973. 1:09:31talking about energy, we're talking
  1974. 1:09:32about agents,
  1975. 1:09:33>> but the people even open router was
  1976. 1:09:35founded [snorts] by the open the open C
  1977. 1:09:38team which was the NF platform and their
  1978. 1:09:40head of strategy uh was an ex-marathon
  1979. 1:09:43guy. Uh and I'm going to record next
  1980. 1:09:46with uh
  1981. 1:09:47>> somebody from news research. he came
  1982. 1:09:49from Foundry and like it's there's this
  1983. 1:09:52um and I think we've discussed this
  1984. 1:09:54before but in my life the early adopters
  1985. 1:09:58of AI have typically been people in the
  1986. 1:10:00Bitcoin industry uh that are that are
  1987. 1:10:03there's there's something
  1988. 1:10:06uh with the psyche of people that that
  1989. 1:10:08have been in this industry and I I think
  1990. 1:10:10the fact that they're in it is a tell
  1991. 1:10:12that they're early adopters and uh
  1992. 1:10:15that's that's the thing I I don't think
  1993. 1:10:17many people appreciate is like a lot of
  1994. 1:10:18the companies that are coming up in AI
  1995. 1:10:20have people that came from this
  1996. 1:10:22industry. And to your point about these
  1997. 1:10:24these convergences, they're happening at
  1998. 1:10:26every layer, like even the people layer.
  1999. 1:10:28>> Mhm. And vice versa, too. Um I'm I'm
  2000. 1:10:32guessing you've never heard of Ali Yaya.
  2001. 1:10:34>> No.
  2002. 1:10:35>> Okay. So, Ali Yaya is one of the
  2003. 1:10:38original partners of A16Z.
  2004. 1:10:41>> Mhm.
  2005. 1:10:42>> He is part of the crypto group. So, he's
  2006. 1:10:45been at the place a long time. and I ran
  2007. 1:10:47into him and I'm going to be I I I just
  2008. 1:10:49did a video for my subscribers titled
  2009. 1:10:52crypto why now? And this was my way of
  2010. 1:10:55kind of saying to people who are part of
  2011. 1:10:57my AI subscribers, but this is also for
  2012. 1:11:00crypto people because
  2013. 1:11:02like I I've listened to you for a while
  2014. 1:11:05like as I've kind of consumed knowledge
  2015. 1:11:07to to understand crypto more. I have to
  2016. 1:11:11go back to the people that have been
  2017. 1:11:12creating content for a long time because
  2018. 1:11:15as I believe and as you know when you
  2019. 1:11:17interview smart people you consume a lot
  2020. 1:11:19of that information. There's things I
  2021. 1:11:20said today that you're have connected
  2022. 1:11:22for you. There's things you've asked me
  2023. 1:11:24that have connected for me. Ali Yaya um
  2024. 1:11:28went to Stanford. He worked in Google X
  2025. 1:11:31out of school. Then he worked for Google
  2026. 1:11:34Brain.
  2027. 1:11:37He's an AI and cryptography expert.
  2028. 1:11:40He decided
  2029. 1:11:42to go to A16Z because his story is that
  2030. 1:11:47he was trying to convince the Google X
  2031. 1:11:49guys to invest in crypto. It's a great
  2032. 1:11:51story of someone I'd never heard of, but
  2033. 1:11:53I'm using him in my video and I used him
  2034. 1:11:55in the video for Why Now for people to
  2035. 1:11:58go learn because I'm like, you should go
  2036. 1:11:59listen to this guy talk about it. So,
  2037. 1:12:01the the videos I'm showing are recent
  2038. 1:12:04interviews with him in May. They raised
  2039. 1:12:06another fund at A16Z, which I think is
  2040. 1:12:08really important for people on the
  2041. 1:12:09crypto side. This was in the the depths
  2042. 1:12:11of the bare market. So, this is when
  2043. 1:12:13Bitcoin had been down for 6 months um or
  2044. 1:12:177 months since since October 10th. and
  2045. 1:12:21they're talking about taking in $2.2
  2046. 1:12:23billion for it. And the whole rationale
  2047. 1:12:26with Chris Dixon, who you probably have
  2048. 1:12:29heard of. So Ali Yaya is the person that
  2049. 1:12:31nobody seems to know. I didn't know him.
  2050. 1:12:32I knew Chris Dixon for a long time. Ali
  2051. 1:12:34Yaya is the person I care the most about
  2052. 1:12:36because
  2053. 1:12:38>> he understands the value of the agentic
  2054. 1:12:40side. He talks about privacy. He's the
  2055. 1:12:43one that got me so focused on Zcash. And
  2056. 1:12:45I started to understand from a business
  2057. 1:12:47fiduciary who's raised money who now
  2058. 1:12:50understands, oh my gosh, I think Zcash
  2059. 1:12:53should be up massively over the next
  2060. 1:12:55year if my view of the value of privacy,
  2061. 1:12:59my view of the value of trust. These are
  2062. 1:13:00all things that I'm realizing crypto is
  2063. 1:13:02going to be valued off of. It's going to
  2064. 1:13:04be off privacy. It's going to be off
  2065. 1:13:06trust. It's going to be off speed. These
  2066. 1:13:08are metrics that don't fit in the the
  2067. 1:13:10fiat system. You can't do that with
  2068. 1:13:12stocks, but there's value for it. That's
  2069. 1:13:14why the multiple is going down because
  2070. 1:13:15on the flip side, I don't trust you're
  2071. 1:13:18going to be here in the next 5 years
  2072. 1:13:20because terminal value is gone. Like I
  2073. 1:13:21could do this all day. Your business is
  2074. 1:13:24too slow, Visa. You're not going to be
  2075. 1:13:26in business. You better adapt. Like
  2076. 1:13:28everything is about those things that I
  2077. 1:13:30mentioned. Privacy, like Zcash, the
  2078. 1:13:33ability to do things and not actually
  2079. 1:13:35know who's on the other side. Should it
  2080. 1:13:36be bigger than Bitcoin? No. Should it
  2081. 1:13:39probably be 10% of the value of it?
  2082. 1:13:41Yeah, my guess is it probably should in
  2083. 1:13:43the long run if I'm right about privacy.
  2084. 1:13:45Ali Yaya takes you through his vision of
  2085. 1:13:48the world and how important agents are
  2086. 1:13:50to it and it's very hard for me to find
  2087. 1:13:52people that speak that way. I have to go
  2088. 1:13:54into the depths of someone who went to
  2089. 1:13:56Stanford was in Google Brain and all
  2090. 1:13:58this. So, I think as you kind of connect
  2091. 1:14:00all these dots and you start going
  2092. 1:14:01through the way all this plays out, the
  2093. 1:14:04backwards side of the power and the
  2094. 1:14:05electricity side and how it connects
  2095. 1:14:07back into this, they're all related to
  2096. 1:14:09AI and crypto being synergistically the
  2097. 1:14:12thing that matters the most in the next
  2098. 1:14:14decade.
  2099. 1:14:15>> Have you looked into e-cash at all?
  2100. 1:14:18>> Uh, I have not spent I have not spent
  2101. 1:14:20enough time on e-cash.
  2102. 1:14:21>> Look into e-cash. I will say the uh the
  2103. 1:14:23double blinded signatures. Um, I think
  2104. 1:14:26that if you're looking for like
  2105. 1:14:27velocity,
  2106. 1:14:29uh, I think eCash is, uh, is a much much
  2107. 1:14:32better suited than Zcash right now. I
  2108. 1:14:34don't know what the Zcash L2s look like,
  2109. 1:14:35but uh, eCash is gives you that perfect
  2110. 1:14:38privacy, but the speed at which you can
  2111. 1:14:41transact, particularly for agents, and
  2112. 1:14:42I've given my agent an ecash wallet.
  2113. 1:14:45>> And it's funny, uh, just watching it go.
  2114. 1:14:47>> Yeah.
  2115. 1:14:47>> I'm like, hey, go on Ellen Markets and
  2116. 1:14:49trade. Just take like just messing with
  2117. 1:14:52like go on Ellen Markets. you can sign
  2118. 1:14:54in using your lightning network uh
  2119. 1:14:56address and then use ecash to tra send
  2120. 1:14:59it money in with ecash when you send it
  2121. 1:15:01back convert it back to e-cash and it's
  2122. 1:15:03here's my issue um as people kind of
  2123. 1:15:06think of this I think when
  2124. 1:15:10so only reason I care about Zcash is
  2125. 1:15:12because the privacy side what Robin Hood
  2126. 1:15:17chain like everything for me started
  2127. 1:15:19with XY blah blah blah blah so I have a
  2128. 1:15:22chain that goes backwards The mistake
  2129. 1:15:23people are going to make is doing
  2130. 1:15:25homework on these things like it
  2131. 1:15:26matters.
  2132. 1:15:27>> Mhm.
  2133. 1:15:28>> Whether something goes from 1 to 100 or
  2134. 1:15:311 to 200 and something else goes from 1
  2135. 1:15:33to 300 or 1 to 400 is complete waste of
  2136. 1:15:36time. Um, in the end they're both going
  2137. 1:15:39to peak and they're both going to stop
  2138. 1:15:41growing at some [snorts] point. And once
  2139. 1:15:44we get to the point where privacy is is
  2140. 1:15:47valued, maybe that prevents them from
  2141. 1:15:49getting combined or let's assume there's
  2142. 1:15:5110 of them, I still believe in the end,
  2143. 1:15:54and it's a perfect example, the value of
  2144. 1:15:57privacy relative to Bitcoin should be 10
  2145. 1:16:01to 15%. Just because that's what goes on
  2146. 1:16:04in certain parts of the world where
  2147. 1:16:05people need the privacy.
  2148. 1:16:07>> Most people don't. Most businesses
  2149. 1:16:09don't, but some businesses like an asset
  2150. 1:16:11manager, they can't have their clients
  2151. 1:16:13out there. Like there's certain
  2152. 1:16:15components where agent to agent when
  2153. 1:16:16they're talking, you don't want them to
  2154. 1:16:18know who it is. So, I just think for all
  2155. 1:16:20of it, um the rather than get into who
  2156. 1:16:23wins, who loses, that to me is a
  2157. 1:16:25dangerous game, especially at this part
  2158. 1:16:27of the cycle. I think this part of the
  2159. 1:16:28cycle is like it was for semiconductors
  2160. 1:16:30in the first quarter. Didn't matter
  2161. 1:16:32which one you bought, they all went up
  2162. 1:16:34five to 10 times. The pain now is which
  2163. 1:16:37one do I buy? And that's the knife
  2164. 1:16:39fight. And the knife fight is much
  2165. 1:16:40harder than the oh, we didn't even see
  2166. 1:16:42this coming fight. And the we didn't see
  2167. 1:16:44it coming is where we are in crypto in
  2168. 1:16:45my mind.
  2169. 1:16:46>> You know what I've realized is uh I
  2170. 1:16:48guess our fourth or fifth conversation
  2171. 1:16:49with this one. I think you might be the
  2172. 1:16:51anti-EDron. I think you two are on like
  2173. 1:16:53polar opposite ends of the spectrum of
  2174. 1:16:56uh of your view on this whole thing. And
  2175. 1:16:58it's funny that he he's very popular
  2176. 1:17:00right now. talked about the wall of
  2177. 1:17:01worry and people uh fearful of the the
  2178. 1:17:05circular financing and the fact that
  2179. 1:17:07nothing's here. Do you like it's it
  2180. 1:17:09blows my mind that somebody like him can
  2181. 1:17:12get as popular. Um but I think it's
  2182. 1:17:14people want to confirm their priors, but
  2183. 1:17:18the uh I I think you're the you're the
  2184. 1:17:20anti-Eron is how I would describe you.
  2185. 1:17:24First of all, I think um there's a
  2186. 1:17:26reason why
  2187. 1:17:28uh horror movies are very popular. I
  2188. 1:17:31think there's a reason why um
  2189. 1:17:35it's a lot of things people like worry
  2190. 1:17:37about. Um worrying is just gotten worse
  2191. 1:17:40over time. So, uh you know
  2192. 1:17:43>> what's that?
  2193. 1:17:44>> Bears get slaughtered, bulls, uh bulls
  2194. 1:17:46make money. Is
  2195. 1:17:47>> no. Like so I I'm not [snorts]
  2196. 1:17:51again I think the fiat system is is is
  2197. 1:17:54an old system that is not going to
  2198. 1:17:55produce the returns that people want. I
  2199. 1:17:59think crypto is a hedge to that. I think
  2200. 1:18:01AI is a hedge to it but AI disrupts AI
  2201. 1:18:05um from an investment thing like I I
  2202. 1:18:06don't think these are things that you
  2203. 1:18:08can invest in based on valuation. I
  2204. 1:18:10think this is all about the speed. It's
  2205. 1:18:12all about speed. Um that's just it. And
  2206. 1:18:15investing in speed is very different
  2207. 1:18:16than friction. And if you just take
  2208. 1:18:19those two, like I'm investing in speed,
  2209. 1:18:21I'm investing in friction. And I said,
  2210. 1:18:23well, which one is crypto? Which one is
  2211. 1:18:26fiat? You know what it is? Friction is
  2212. 1:18:28fiat. It's the intermediaries slowing
  2213. 1:18:31things down as much as possible. I want
  2214. 1:18:33to invest in speed. And you know what
  2215. 1:18:35speed is? Speed is about everyone
  2216. 1:18:38benefiting. So like when you say
  2217. 1:18:39concentration and circular finance of
  2218. 1:18:41course there's circular finance
  2219. 1:18:44that is called concentration.
  2220. 1:18:47Seven companies control the world
  2221. 1:18:50literally. So of course they're lending
  2222. 1:18:53to each other. That is called where we
  2223. 1:18:55ended up in. Now if you had invested in
  2224. 1:18:58that circular finance back in in 2010 it
  2225. 1:19:01didn't exist because we were we weren't
  2226. 1:19:03concentrated. We got to this point. So,
  2227. 1:19:06should Nvidia be buying back stock or
  2228. 1:19:08should they be investing in the
  2229. 1:19:10companies that they are helping grow
  2230. 1:19:12this whole thing?
  2231. 1:19:13>> Well, that I mean I think we've
  2232. 1:19:15discussed this before, but like how much
  2233. 1:19:16cash did these companies have on their
  2234. 1:19:18balance sheet in the 2010s, early 2020s?
  2235. 1:19:20And to your point, they were all just
  2236. 1:19:22buying back stock. They weren't
  2237. 1:19:23investing in the infrastructure. So,
  2238. 1:19:25taking a positive view of this, it's
  2239. 1:19:28like, hey, they're actually taking that
  2240. 1:19:30cash, taking risk with it, investing in
  2241. 1:19:32infrastructure that we're all going to
  2242. 1:19:33use. it's uh they were growing too fast
  2243. 1:19:36and their cash buyback started to become
  2244. 1:19:38a major part of the market let's say at
  2245. 1:19:402014 2015 because they were growing so
  2246. 1:19:43fast they were getting so big um this is
  2247. 1:19:46one of the problems like so when cash on
  2248. 1:19:49the balance sheets is far bigger today
  2249. 1:19:52than it was in 2010 and this is part of
  2250. 1:19:54the issue when people talk about the
  2251. 1:19:55debt I'm like you guys can create any
  2252. 1:19:59scary stat you want it's like picking a
  2253. 1:20:02hitter
  2254. 1:20:05batter [snorts] is seven of the last
  2255. 1:20:06eight. He's hot, but of the last
  2256. 1:20:09hundred, he's seven of the last hundred.
  2257. 1:20:11So, he's only hot for a short amount of
  2258. 1:20:13time. He's ice cold for this. You can
  2259. 1:20:15play with statistics. Look how big the
  2260. 1:20:18debt market they whenever they show
  2261. 1:20:19these charts. I know you've seen them on
  2262. 1:20:21X, like hypers scaler debt. It was zero
  2263. 1:20:24before, now it's big. So, the image we
  2264. 1:20:27get that's big is these big histogram
  2265. 1:20:30poles.
  2266. 1:20:31>> Mhm. And before it was nothing. There's
  2267. 1:20:33two stories here. One is how do
  2268. 1:20:36companies get so big without taking debt
  2269. 1:20:38for the prior 10 years. Isn't that part
  2270. 1:20:41of the story? Because the only way these
  2271. 1:20:43things look big is based on the fact
  2272. 1:20:45that it was so small before
  2273. 1:20:48they have cash. So if you put in how
  2274. 1:20:50much cash they're making, they were
  2275. 1:20:52making tons of cash. So I don't believe
  2276. 1:20:56in any of this stuff in terms of this.
  2277. 1:20:58the cash on the balance sheets of
  2278. 1:20:59corporates when you add in the liquid
  2279. 1:21:03cuz we now have interest rates. So cash
  2280. 1:21:05was bigger back then or it was smaller
  2281. 1:21:07but the growth hasn't been that big but
  2282. 1:21:09that's because you hold treasuries now
  2283. 1:21:11because they're actually paying you
  2284. 1:21:12interest. So when you combine them
  2285. 1:21:14together and you take the net debt of
  2286. 1:21:16the market in terms of the corporate
  2287. 1:21:18debt or the the gross debt and then you
  2288. 1:21:21put in the amount of cash they have,
  2289. 1:21:24you'd be shocked at how good the balance
  2290. 1:21:25sheets are in the corporate sector.
  2291. 1:21:27That's why spreads are so like
  2292. 1:21:29nonmoving. Why is CDS going up? Because
  2293. 1:21:32of that circular finance concentration
  2294. 1:21:33risk. You telling me you shouldn't be
  2295. 1:21:36buying CDS on this and you don't think
  2296. 1:21:38other hedge funds who are long the the
  2297. 1:21:40names, the equity names shouldn't be
  2298. 1:21:42buying CDS on these names because
  2299. 1:21:44they're the ones spending all the money.
  2300. 1:21:45If for any reason they can't spend the
  2301. 1:21:47money, the whole AI trade goes down. So,
  2302. 1:21:49isn't this one way? Let me be long the
  2303. 1:21:52receivers and let me be instead of being
  2304. 1:21:54short the equity because the equity is
  2305. 1:21:55at alltime highs, guys. If you didn't
  2306. 1:21:57notice, like I don't know debt problems
  2307. 1:21:58that have ever been in the world where
  2308. 1:21:59the equities at the all-time highs. It's
  2309. 1:22:02the junior part of the stack. So if the
  2310. 1:22:03debt is an issue, shouldn't the equity
  2311. 1:22:05be down first? That's what happened in
  2312. 1:22:06every that's what happened with the
  2313. 1:22:07banks. That's what happened with the oil
  2314. 1:22:09stocks. But instead, they're at the
  2315. 1:22:10highest level ever. So for all of the
  2316. 1:22:12spenders right now, rather than short
  2317. 1:22:15the equity, just go buy the CDS in the
  2318. 1:22:17event that something happens. You'll
  2319. 1:22:18make a lot of money on it. You can lever
  2320. 1:22:19it up. Yeah.
  2321. 1:22:21>> It's always an incredible pleasure
  2322. 1:22:23speaking with you, Jordy. I appreciate
  2323. 1:22:25you. uh taken time. Anything that we
  2324. 1:22:28didn't touch on that uh that we should
  2325. 1:22:30make the audience aware of?
  2326. 1:22:31>> We covered a lot.
  2327. 1:22:33>> Uh only thing I I'll say is um for the
  2328. 1:22:37last year I've spent all my time
  2329. 1:22:41focusing on launching something to help
  2330. 1:22:45educate people on AI with eventually
  2331. 1:22:47crypto being part of it. Starting in,
  2332. 1:22:50since you watched the stuff that I do in
  2333. 1:22:52my videos, starting in June, I started
  2334. 1:22:55telling people, okay, I'm going to be
  2335. 1:22:57launching a crypto site. It's going to
  2336. 1:22:58happen in September, October.
  2337. 1:23:01>> Now, I could have launched something in
  2338. 1:23:02July. Why did I say September October?
  2339. 1:23:05For those who know me, I work even in
  2340. 1:23:07the summertime, even though I'm in
  2341. 1:23:08Maine. Um, this was solely about me
  2342. 1:23:10timing things based on where I thought
  2343. 1:23:13the agentic side would kick in and I
  2344. 1:23:16believed it would happen later in the
  2345. 1:23:17year. So, I've been talking about
  2346. 1:23:19consumer agents as the big trade for
  2347. 1:23:20next year that crypto would be the big
  2348. 1:23:22trade. Anyone who saw me speak in Fort
  2349. 1:23:24Lauderdale or LA or any of the places
  2350. 1:23:26this year where I got on stage and I
  2351. 1:23:27said the micron of next year is crypto.
  2352. 1:23:31So, when you're looking for what's a 10
  2353. 1:23:33bag or a 13 bag or over the course of a
  2354. 1:23:35year, it's going to be because consumer
  2355. 1:23:37agents start getting into needing the
  2356. 1:23:39guard rails and we'll finally there. So,
  2357. 1:23:41the only thing I want people to realize,
  2358. 1:23:42the reason I'm now launching the crypto
  2359. 1:23:45part of it, which is on the site, and
  2360. 1:23:46for people who've already subscribed, so
  2361. 1:23:48they were always getting AI, now they're
  2362. 1:23:49getting crypto. So, they're getting two
  2363. 1:23:50videos a week. These will not be on
  2364. 1:23:52YouTube, but they're also getting the
  2365. 1:23:53research. And I bring that up because if
  2366. 1:23:55you're a person that doesn't feel like
  2367. 1:23:57you understand and you can't get out of
  2368. 1:23:59the worry, if you don't understand
  2369. 1:24:01crypto, and if you watch last week's, I
  2370. 1:24:03compared it to learning cricket as a
  2371. 1:24:05American baseball fan. Like cricket is a
  2372. 1:24:08very complicated game of which I'm not
  2373. 1:24:10going to take the time. But learning a
  2374. 1:24:11new sport that takes a lot of time. You
  2375. 1:24:13got to see the nuances. Crypto is going
  2376. 1:24:15to be a very difficult learning curve
  2377. 1:24:16for for people. Far more difficult than
  2378. 1:24:19buying AMD, Intel or Micron. You know
  2379. 1:24:22that language. This is a new world and
  2380. 1:24:24unfortunately a lot of the crypto people
  2381. 1:24:26are going to scare you. Uh a lot of the
  2382. 1:24:28Trafi people are going to scare you.
  2383. 1:24:30Jordy's job is to be here and keep you
  2384. 1:24:32from being scared. [laughter]
  2385. 1:24:34If you don't want to be scared, check
  2386. 1:24:36out J. As uh as somebody who watches
  2387. 1:24:38your videos and is a subscriber, it's uh
  2388. 1:24:41it's been an incredible amount of value
  2389. 1:24:42for me personally. So, thank you for
  2390. 1:24:44doing it and uh thank you for joining
  2391. 1:24:45us.
  2392. 1:24:46>> No problem. And send me your thoughts on
  2393. 1:24:47the video. It's getting released
  2394. 1:24:48Wednesday morning. So, why now in
  2395. 1:24:50crypto?
  2396. 1:24:50>> I'll I'll uh I'll have to go manually
  2397. 1:24:52buy a train ticket and [laughter] then
  2398. 1:24:54watch it on the train. Agents aren't
  2399. 1:24:56there yet. Peace, love, freaks.
  2400. 1:24:58>> Thank you for listening to this episode
  2401. 1:24:59of TFTC. If you've made it this far, I
  2402. 1:25:02imagine you got some value out of the
  2403. 1:25:04episode. If so, please share it far and
  2404. 1:25:06wide with your friends and family. We're
  2405. 1:25:09looking to get the word out there. Also,
  2406. 1:25:12wherever you're listening, whether
  2407. 1:25:13that's YouTube, Apple, Spotify,
  2408. 1:25:16make sure you like and subscribe to the
  2409. 1:25:18show. And if you can leave a rating on
  2410. 1:25:20the podcasting platforms, that goes a
  2411. 1:25:22long way. Last but not least, if you
  2412. 1:25:24want to get these episodes a day early
  2413. 1:25:27and add free, make sure you download the
  2414. 1:25:29Fountain podcasting app. You can go to
  2415. 1:25:32fountain.fm to find that. $5 a month
  2416. 1:25:35gets you every episode a day early.
  2417. 1:25:38Adree helps the show, gives you
  2418. 1:25:40incredible value. So, please consider
  2419. 1:25:44subscribing via fountain as well. Thank
  2420. 1:25:46you for your time and until next time.

About this transcript

This page contains the full transcript of The $900 Trillion Trigger That Sends Bitcoin to $1M | Jordi Visser by TFTC, generated from the public captions YouTube serves with the video. The transcript has 16,882 words across 2,420 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.