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Will Bitcoin Survive Quantum Computing? | Jordi Visser — Transcript

by Anthony Pompliano · 9,996 words · 1,446 segments · language en · Watch on YouTube

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  1. 0:00So quantum is a hardware issue. I want
  2. 0:01everyone to hear that cuz we're going
  3. 0:03through this with AI right now. What's
  4. 0:05slowing down AI development? What's
  5. 0:08slowing down AI usage?
  6. 0:10It's hardware. It's the physical world.
  7. 0:13That's where Quantum's pain point is.
  8. 0:16Will it get there? He says 20 to 40
  9. 0:18years. Other people say 5 to 7. Okay. So
  10. 0:22his point is this. We will have time to
  11. 0:26respond to it. Now, part of what Chamath
  12. 0:28said, which is true today, is what's
  13. 0:31going on guys? Today's conversation with
  14. 0:32Jordy Visser is a classic. In this
  15. 0:34conversation, we talk about quantum
  16. 0:36computing. Is Bitcoin going to zero?
  17. 0:38What's going on with the hedge fund
  18. 0:39unwind? And then we get into how we're
  19. 0:41actually using AI. What is so inevitable
  20. 0:43about this technology? How is it going
  21. 0:45to impact your portfolio? Then we talk
  22. 0:46about warp sciences. We talk about war
  23. 0:49dogs, sharks with lasers, all kinds of
  24. 0:51crazy stuff that's going to get you
  25. 0:52thinking much more about where are we
  26. 0:54headed? How should you be allocating
  27. 0:56your capital and maybe what are some of
  28. 0:57the areas that you should stay away from
  29. 0:59as well? Here's my latest conversation
  30. 1:01with Jordy Visser. Hope you enjoy it.
  31. 1:03All right, Jordy, let's just start with
  32. 1:05the big topic. Chimath Palipatia said
  33. 1:07that Bitcoin's going to zero.
  34. 1:08>> The big topic.
  35. 1:09>> Yeah. Do you agree or disagree? I mean,
  36. 1:10that would be scary, right? I got a lot
  37. 1:12of my net worth in Bitcoin. Are you
  38. 1:13worried?
  39. 1:14>> I'm not worried.
  40. 1:15>> Okay.
  41. 1:16>> But I can tell you my subscribers are.
  42. 1:19>> Okay. and other people that have reached
  43. 1:21out in expost that I've done that had
  44. 1:23nothing to do with with Bitcoin. Uh let
  45. 1:26let me give everyone my thoughts on this
  46. 1:28because first of all,
  47. 1:32Chamath is a uh a podcast person for
  48. 1:35sure. So viral takes, especially when
  49. 1:38he's on another show, not his own show,
  50. 1:40become important to his show and his
  51. 1:42life. So I'm I'm sure this was part of
  52. 1:44it. Uh, I will leave all the rumors of
  53. 1:47his own exploration of Bitcoin and how
  54. 1:50much he'd be worth if he had held what
  55. 1:52he originally owned or whatever. I I
  56. 1:53don't get into that part. So, let me
  57. 1:55just go through the concept of where my
  58. 1:57head is with with quantum
  59. 1:59>> cuz because he said it was going to zero
  60. 2:01because of quantum
  61. 2:02>> because quantum and that this is old
  62. 2:03technology and so here are my thoughts
  63. 2:05on it. First thing is
  64. 2:08there's a software issue right now
  65. 2:11and the amount of hackings that we're
  66. 2:13having currently there's cyber security
  67. 2:16alerts around the globe. This week there
  68. 2:18was a website one with PHP Cloudfare
  69. 2:22went out and talked all about it. Um
  70. 2:24banks are being hacked at a pace never
  71. 2:26seen before and Axios had an article on
  72. 2:29that this week.
  73. 2:31I just want to make sure people realize
  74. 2:33that the Axios title we have right here,
  75. 2:37the internet's hidden security nightmare
  76. 2:39and how AI exposed it.
  77. 2:42Another one, Scoop, Madison Mills, one
  78. 2:45of the better uh AI reporters right now.
  79. 2:47Scoop, unvetted AI agents are accessing
  80. 2:49US bank accounts. So here here's the
  81. 2:52reason that I've thought about this a
  82. 2:54long time, but the way that I started
  83. 2:56before I would allow myself, which was
  84. 2:58in 2020, to make Bitcoin an important
  85. 3:02part of my net worth, was to understand
  86. 3:08this concept and get a sense as to what
  87. 3:11would happen. So the way my brain has
  88. 3:13dealt with this is very simple.
  89. 3:16uh AI agents were known to be coming and
  90. 3:19once they got to the level of 12,000 12
  91. 3:22billion a trillion all being able to
  92. 3:26hack your passwords and that's what I
  93. 3:27want everyone to think right now you
  94. 3:30have a gazillion passwords and I'm sure
  95. 3:33like most people they use the same one
  96. 3:36over and over again for many of their
  97. 3:38sites that's easily hacked by agent
  98. 3:40swarms in 2 seconds hell that's easily
  99. 3:43hacked by anyone who's trying to get in
  100. 3:44but now with agent Agent swarms.
  101. 3:45Everything is being hacked on a regular
  102. 3:47basis. So a year ago, this was not an
  103. 3:50issue because we didn't have agent
  104. 3:52swarms. The reason I'm bringing this up
  105. 3:54before this, Adam Back, who was involved
  106. 3:56with the Bitcoin white paper,
  107. 3:59who's a cryptographer and a PhD
  108. 4:03in computer science,
  109. 4:05go look up what Chimath's background is
  110. 4:07for this. So, if I'm gonna take anything
  111. 4:10seriously, the research that I did was
  112. 4:12to listen to Adam back, who you've had
  113. 4:14on here many times, right?
  114. 4:15>> Satoshi.
  115. 4:18Yes. So, his point on this is it's a
  116. 4:23hardware issue. We will eventually get
  117. 4:25to the point where quantum So, quantum
  118. 4:27is a hardware issue. I want everyone to
  119. 4:29hear that cuz we're going through this
  120. 4:30with AI right now. What's slowing down
  121. 4:33AI development? What's slowing down AI
  122. 4:36usage?
  123. 4:37It's hardware. It's the physical world.
  124. 4:40That's where Quantum's pain point is.
  125. 4:43Will it get there? He says 20 to 40
  126. 4:45years. Other people say 5 to 7. Okay.
  127. 4:49So, his point is this. We will have time
  128. 4:53to respond to it. Now, part of what
  129. 4:54Chimath said, which is true today, is
  130. 4:58the community has to come together on
  131. 4:59solving this problem, which I agree
  132. 5:01with. But you know what speeds up crisis
  133. 5:03management?
  134. 5:05A crisis. You know what else speeds up
  135. 5:07crisis management?
  136. 5:09A crisis in the current world, which is
  137. 5:11what we're going through right now.
  138. 5:14Things are going to move to cryptography
  139. 5:17and then JP Morgan will be involved in
  140. 5:20the endgame. The fact that all of the
  141. 5:22banks are now moving to the crypto
  142. 5:24guardrails, even if it's through they
  143. 5:27don't want to fall behind, they now have
  144. 5:29a vested interest every single day to
  145. 5:31speed up where the Bitcoin solution is.
  146. 5:34So if you ask me what the solution is,
  147. 5:36first of all, cryptography is definitely
  148. 5:37better than what we're on today.
  149. 5:40There will be some cryptography base
  150. 5:42because everything will move there and
  151. 5:43then we have to find the solution on
  152. 5:45that side. And that is effectively Adam
  153. 5:47back has made it very non-emotional. I
  154. 5:49watch him. I've listened to him a bunch
  155. 5:50of times. I listened to him in 2020 and
  156. 5:52as many things as possible the same way
  157. 5:54that I mentioned William
  158. 5:56>> Mugayar.
  159. 5:57>> I want to find the people that are older
  160. 5:59that have experience that are experts in
  161. 6:01the topic. So what Chamas said is one
  162. 6:02for headline grabbing two there's some
  163. 6:06I don't know he missed out on a big
  164. 6:07investment part that he could have been
  165. 6:10bigger in. So that's part of it and I
  166. 6:12really do believe that in the end he
  167. 6:14doesn't have the credentials to say what
  168. 6:16he said and the irony is my whole
  169. 6:19thought has been which I still believe
  170. 6:20is every day we are entering a very
  171. 6:24difficult period for established
  172. 6:26companies. I'm going to be on a panel
  173. 6:28this week where one of the topics is
  174. 6:29about the difference between owning
  175. 6:30equity and owning tokens. So, that is a
  176. 6:34weird question to me because they're all
  177. 6:35merging together. What did A16Z do this
  178. 6:38week with their crypto title and their
  179. 6:40funds? It's now Frontier. Why did they
  180. 6:42say Frontier? Because the difference
  181. 6:44between crypto
  182. 6:47and any technology, they've all morphed
  183. 6:49into it. You can't get around it. And
  184. 6:51what's the reason that they mention in
  185. 6:52the list? It's what I've talked about
  186. 6:54repeatedly. The agentic world is here
  187. 6:56and everything that they're seeing on
  188. 6:58the front lines, A16Z,
  189. 7:00they could make no good investments over
  190. 7:02the next 10 years, but the one thing I
  191. 7:04know that they have really smart people
  192. 7:06that have looked at technology at the
  193. 7:08beginning stages and they're seeing
  194. 7:10every development that's happening in
  195. 7:12the AI native world. And if you listen
  196. 7:14to the interview they did on their
  197. 7:15podcast this week, which came out today,
  198. 7:17I'm just telling you, you can't leave
  199. 7:19and then listen to Chimath and believe
  200. 7:22what every smart person is involved in
  201. 7:24right now. and know that we still have
  202. 7:26seven years to prepare for this. So I
  203. 7:28find the statement as completely just a
  204. 7:32joke.
  205. 7:32>> I have three things. Um you and I think
  206. 7:34end up in the same uh endgame of
  207. 7:37agreeing Bitcoin's not going to zero.
  208. 7:39Quantum is not going to be uh it's a
  209. 7:41risk that needs to be taken seriously,
  210. 7:43but it is not going to be the thing that
  211. 7:44takes down Bitcoin. Knock on wood. Um
  212. 7:48but I actually like the fact that
  213. 7:51Chimoth does not have the credentials
  214. 7:54because um I am a I'm a subscriber to he
  215. 7:57has this thing learn with me and what my
  216. 8:00understanding I don't know all the
  217. 8:01details but my understanding is he hired
  218. 8:02a team I think out of one of the big
  219. 8:04consulting firms and was basically like
  220. 8:05I want to learn about these topics go
  221. 8:07build me these huge presentations of
  222. 8:10energy in America and what the problem
  223. 8:12is uh healthcare you know whatever and
  224. 8:14so if you subscribe you can get these
  225. 8:16things and they're like super are
  226. 8:17intense. They're, you know, tens and
  227. 8:19tens of slides long that basically break
  228. 8:21down an entire problem and and explain
  229. 8:23it. So,
  230. 8:25I talk about stuff all the time that I'm
  231. 8:27not quote unquote a credentialed expert
  232. 8:28in, right? I that part doesn't bother
  233. 8:30me. Actually, like maybe there's unique
  234. 8:32thoughts, etc. The part that I think
  235. 8:36that he maybe is missing on is
  236. 8:39there's always a cat-and- mouse game
  237. 8:41between the good guys and the bad guys
  238. 8:42when it comes to technology. And what
  239. 8:45you find is usually the good guys have
  240. 8:48more money than the bad guys, but the
  241. 8:50bad guys have more time to think about
  242. 8:52using the technology. And so in a world
  243. 8:55of abundance,
  244. 8:58there's a little bit of a weird thing
  245. 8:59where now the bad guys have access to
  246. 9:01lots of intelligence, lots of time, the
  247. 9:03speeding up of time that you've talked
  248. 9:04about, right? And so cyber security
  249. 9:07becomes this huge issue. you mentioned
  250. 9:08some of the things that we saw there,
  251. 9:10but I still think that the quoteunquote
  252. 9:12good guys with the money end up being
  253. 9:16able to resist all of this even though
  254. 9:18AI is amazing all the stuff and you see
  255. 9:20that in like who created this technology
  256. 9:22that then is being weaponized quote
  257. 9:24unquote good guys let's uh put a lot of
  258. 9:27quotes around that right but like people
  259. 9:30who are not trying to go around hacking
  260. 9:31websites created technology
  261. 9:34so it just feels like this is another
  262. 9:36thing that is being said about Bitcoin.
  263. 9:39By the way, Bitcoin held in strong 80 to
  264. 9:42$85,000. Doesn't matter what happens
  265. 9:44with oil. Oil is now, you know, 115 or
  266. 9:46so. There's tons of concerns about the
  267. 9:48AI trade, huge sell-offs.
  268. 9:52Quantum, I mean, we could rattle off 20
  269. 9:53things that were said in the last 7
  270. 9:55days. Bitcoin just doesn't care, which I
  271. 9:59think you believe is like a strong data
  272. 10:01point that it's going to go higher into
  273. 10:03the end of the year. Yeah, I think now
  274. 10:05we we saw a small
  275. 10:08indication of it on I guess was
  276. 10:10Wednesday.
  277. 10:11>> Okay.
  278. 10:12>> The only update of really the week,
  279. 10:13well, no, there were there in the stock
  280. 10:15market. It was up Monday, Tuesday, and
  281. 10:16Wednesday was down big on Thursday. But
  282. 10:18on Wednesday, which was following the
  283. 10:19SpaceX news, you had a very large jump
  284. 10:23the second that people thought, okay,
  285. 10:26this must be over. We finally got the
  286. 10:28confirmation that compute demand is off
  287. 10:29the charts, and Elon's coming to the to
  288. 10:32to the rescue. um it it immediately went
  289. 10:35back down the next day, but yeah,
  290. 10:36Bitcoin has just held in there. And if I
  291. 10:38tell people the damage that's been done
  292. 10:39to hedge funds, I mean, this is a
  293. 10:42historic month, more so than even July,
  294. 10:45believe it or not. This is much bigger
  295. 10:47month than July was.
  296. 10:49>> Negative for hedge funds.
  297. 10:50>> Yes. And and that's because of the
  298. 10:52breath of the the damage. Um, before I
  299. 10:56get into the expanding breath and the
  300. 10:58contagion within the hedge fun, I do I
  301. 10:59do want to um
  302. 11:01add to something you said because I do
  303. 11:04agree that people like Chimoth that have
  304. 11:07a huge listener base, it's good for
  305. 11:10people to say the things that he said as
  306. 11:12part of the process cuz he also fits
  307. 11:14into
  308. 11:16something Mark Andre said. Uh, if you
  309. 11:18ask me the smartest person, the person
  310. 11:22that I will listen to no matter what,
  311. 11:24who I believe brings to the table an
  312. 11:26incredible knowledge of history, a
  313. 11:29relaxed, you know, response with no
  314. 11:32hyperbole. I I Mark Andre is number one
  315. 11:36for me. Okay. I can listen to him
  316. 11:38endlessly.
  317. 11:39>> Uh,
  318. 11:39>> he's very smart.
  319. 11:41>> Yeah. And he's not selling anything. Um,
  320. 11:43what's the biggest problem with Jensen
  321. 11:45Yuang? At the end of the day, he's
  322. 11:46talking his book. What's the biggest
  323. 11:47problem with with Elon Musk? He's
  324. 11:49talking his book. And this is a big
  325. 11:50negative for everyone. When I go through
  326. 11:52X, like if people attack me, it's cuz he
  327. 11:55he's talking his book.
  328. 11:57>> Um
  329. 11:58>> I never talk my book.
  330. 12:00>> Yes.
  331. 12:02>> Sylvia.com.
  332. 12:03>> Go ahead.
  333. 12:04>> Um what Mark said on the podcast, which
  334. 12:07is something I believe in, but it's the
  335. 12:10reason that I got involved in Bitcoin in
  336. 12:12the first place. I've told this story
  337. 12:14before, but you have to understand when
  338. 12:15my 13-year-old son had turned $700 into
  339. 12:19$80,000, subsequently losing all of it,
  340. 12:22okay? Which I say repeatedly, I knew
  341. 12:25there was a bubble in 2021, but it also
  342. 12:28told me that there was something here
  343. 12:30because when I asked him how he did
  344. 12:32this,
  345. 12:34it was really intelligent. And when you
  346. 12:36normalize it for a 13-year-old, I
  347. 12:38realized that the gaming that he was
  348. 12:39really good at was adding to his ability
  349. 12:41to go use Reddit and Twitter and do
  350. 12:43research and do this. He was adapting to
  351. 12:46the times and he believed in Bitcoin. He
  352. 12:48didn't believe in the S&P 500. Now, that
  353. 12:50age bracket, it's still the same. What
  354. 12:52Mark talked about on the podcast, the
  355. 12:54A16Z Frontier podcast was he said there
  356. 12:57is an age bracket for technology that
  357. 13:00has been there and I forget the book
  358. 13:03that he referenced but he basically said
  359. 13:05the way it goes is up until you know 15
  360. 13:09to 25
  361. 13:11it's just part of your life and that's
  362. 13:13where my son was. So let's assume
  363. 13:14whatever the age was 13 to 21. It's just
  364. 13:17part of your life. Like crypto is just
  365. 13:19you know it. AI is something you just
  366. 13:21know. Then from 25 to 35,
  367. 13:25you're focused on AI from making money.
  368. 13:27That's where my son is kind of now is
  369. 13:29figuring out how he's going to set his
  370. 13:30life up job-wise with using this
  371. 13:32technology. And then above 35, you view
  372. 13:36it as evil. Any new technology. And that
  373. 13:39is the whole point about whether it's
  374. 13:40crypto, whether it's Bitcoin or whether
  375. 13:42it's AI. That is why people are perma
  376. 13:44bears on AI. There is zero doubt that AI
  377. 13:49is the inevitable part of our lives.
  378. 13:51Like there's no question about it. It's
  379. 13:54where all the investments are going. And
  380. 13:55if the investments are going there, you
  381. 13:57can have corrections. You can even have
  382. 13:59the.com bubble where you get a 4-year
  383. 14:01delay between the bottom and then the
  384. 14:06iPhone. But it's coming. Like there's no
  385. 14:08way to get around it. It's going to
  386. 14:08solve healthcare, all these different
  387. 14:10issues. So I think when you really break
  388. 14:12down what you just talked about and
  389. 14:14where it goes, there is an element of
  390. 14:16the age thing and Chimath is in that age
  391. 14:18bracket where psychologically he's
  392. 14:20already made his money. He has no reason
  393. 14:21to believe in in Bitcoin. There's
  394. 14:23nothing there for him. And as Michael
  395. 14:24Sailor said, you don't find Bitcoin,
  396. 14:27Bitcoin finds you. Now, let's go back to
  397. 14:29the point on the hedge fund side in
  398. 14:31France this week. We saw a mass, and
  399. 14:34this has gone on now for seven weeks, a
  400. 14:36massive blowout.
  401. 14:38careful careful what words you use.
  402. 14:42>> You talk about the financial market or
  403. 14:43the streets.
  404. 14:45>> True, true, true. Um, we'll leave the
  405. 14:47the social aspect alone, but you have
  406. 14:51French bond yields versus German bond
  407. 14:55yields or versus the swap curve without
  408. 14:58getting too wonky blowing out, which
  409. 15:00basically means the unwind of a carry
  410. 15:02trade. So if you were long French bond
  411. 15:05yields and you were short German von you
  412. 15:08were getting a spread that was let's say
  413. 15:10125 basis points if you just carried it.
  414. 15:12So as long as France doesn't default and
  415. 15:15you carry it for a long time and this
  416. 15:17was happening across the curve you make
  417. 15:18money well and you do with leverage.
  418. 15:20>> Yes. And that started to unwind. We
  419. 15:23started seeing news articles come out
  420. 15:24but it has really accelerated this week.
  421. 15:26In fact, the first four days of this
  422. 15:30week were just the biggest week, even
  423. 15:32bigger than the EU crisis week back in
  424. 15:352011 2012, that whole period there. So,
  425. 15:38you had that, you had the core debt, so
  426. 15:40you had credit that had unwound. The
  427. 15:42reason that's important is all of the
  428. 15:44big multistrats that you get to see, you
  429. 15:46know, in that are 100red billion,
  430. 15:48whatever, and they're levered 20 times,
  431. 15:50say, so you're dealing with trillions of
  432. 15:53dollars of they're dependent on
  433. 15:57if one asset breaks down, it doesn't
  434. 15:59really matter because you have
  435. 16:0150 other strategies that could make
  436. 16:03money. Relative arbitrage, add deletes,
  437. 16:05all kinds of different things. But when
  438. 16:07credit gets hit, fixed income bonds get
  439. 16:10hit, regions get hit, the diversity, the
  440. 16:14diversification benefits drop down and
  441. 16:16you end up seeing what you've seen. And
  442. 16:18Goldman Sachs reported last week that
  443. 16:23since 2020 after co there had only been
  444. 16:273 days that the major strategies so long
  445. 16:31short equity
  446. 16:32uh quant and then multistrats were down
  447. 16:36more than 80 basit points in one day.
  448. 16:38All three strategies so at least 80
  449. 16:40basis it happened three times since co
  450. 16:42all three of those were this year. Well,
  451. 16:45we had another one on Thursday of this
  452. 16:47week. This one was greater than 1% for
  453. 16:50each of them. So, that just means that
  454. 16:52this is not just long short equity. This
  455. 16:54is everything going at the same time.
  456. 16:56And I mentioned that this reminds me of
  457. 16:57LTCM. It does. It also reminds me of the
  458. 17:00quant back in August of 2007. So, I
  459. 17:02bring that up because as people are
  460. 17:04watching like what's happening and
  461. 17:06going, why why are these semiconductor
  462. 17:08stocks down? And I saw something today
  463. 17:10that the best performing stocks this
  464. 17:12year, the 20 best performing stocks were
  465. 17:14down yesterday, like 5 to 10%. And when
  466. 17:18you go look at the they're still up like
  467. 17:20100 plus%. And most of these are the AI
  468. 17:22names. So I'm telling everyone
  469. 17:23listening, number one, I did a video on
  470. 17:25this. This is not a bubble. AI is not a
  471. 17:27bubble. It's inevitable. End of story.
  472. 17:29Um, there can be delays and there can be
  473. 17:32hiccups. And here's the thing, there are
  474. 17:34no free lunches. And I remember I said
  475. 17:35this to you back in May and June on on
  476. 17:37on videos. people can go look them up on
  477. 17:39their own. There are no free lunches in
  478. 17:41markets. Markets go up and then they
  479. 17:43correct. And so far, the S&P 500 is
  480. 17:46still up over 12% year to date. And we
  481. 17:49just had a massive unwind. I don't know
  482. 17:51when this is officially going to end,
  483. 17:53but I will say that yesterday felt
  484. 17:55exactly like situational awareness day
  485. 17:57because it started right after the close
  486. 18:00on Wednesday. I pick my phone up and as
  487. 18:02I do before I kind of start getting
  488. 18:04ready for bed, I look to see where the
  489. 18:06S&P futures were and there was no reason
  490. 18:08for them to be down close to 30 handles,
  491. 18:11which says to me there was a fund that
  492. 18:13was in trouble and we're just kind of
  493. 18:15going through this thing. I think we're
  494. 18:17near the end of it. If not, I gave the
  495. 18:19dates that I thought for people would be
  496. 18:21the catalyst. One is when we get through
  497. 18:22the the hyperscalers. We went through
  498. 18:24meta. Nothing bad came out in there, but
  499. 18:26it's still sold off. um we have the
  500. 18:28hyperscalers and then we have the
  501. 18:30midterms and we have the quarterly
  502. 18:32refunding announcement. Those will be
  503. 18:33the three areas. So I think the low for
  504. 18:35this AI portion will happen with inside
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  540. 19:44I do think uh the uncertainty around the
  541. 19:46midterms, not uncertainty like
  542. 19:48fear-based, just like who's going to win
  543. 19:51naturally plays into this. Plus, you get
  544. 19:53the AI fears and so it's very clear
  545. 19:55there's like a bunch of clouds, if you
  546. 19:56will. The second the midterms occur, the
  547. 19:59clouds will part, the sun will come up
  548. 20:01into the end of the year, uh likely as
  549. 20:02strong. Um, you mentioned AI is
  550. 20:05inevitable and uh I've been thinking a
  551. 20:07lot. So maybe I will uh uh debut my new
  552. 20:11uh um phrase for the next couple of
  553. 20:14years. AI is smarter than you, smarter
  554. 20:18than me, smarter than everybody
  555. 20:20watching. We have officially reached
  556. 20:22that point.
  557. 20:22>> It's smarter than hedge fund managers
  558. 20:24too.
  559. 20:24>> 100%. Yeah,
  560. 20:26>> that is the 0ero to one moment that
  561. 20:29every single thing in my world view I
  562. 20:32have updated in the last 3 to 4 months
  563. 20:35on the premise that AI is now smarter
  564. 20:37than me. So how do I give it as much
  565. 20:40context as possible? How do products
  566. 20:41change? How do asset prices change? How
  567. 20:43does the funding rate change? What do
  568. 20:45hedge funds do? All this stuff now boils
  569. 20:48down to AI is smarter. I always say that
  570. 20:52investors get one idea in their entire
  571. 20:54life to invest on and they just expose
  572. 20:56it over and over again. Warren Buffett
  573. 20:58buy things for less than they're worth.
  574. 20:59He just did it a bunch of times and
  575. 21:00built an incredible amount of wealth.
  576. 21:02You know, if you go and you look at the
  577. 21:04rent tech guys, there's math and there's
  578. 21:06inefficiencies, all this stuff. You just
  579. 21:07go invest in I think that our entire
  580. 21:10generation, the one big idea is they're
  581. 21:12never going to stop printing money. I
  582. 21:14think a 1A now though is there is now
  583. 21:16technology that is going to be way
  584. 21:18smarter than us. It's already smarter
  585. 21:20than us, but it's only going to get
  586. 21:21worse.
  587. 21:22I AI pill a boomer this week, and I want
  588. 21:27to tell you uh some of the details
  589. 21:29because it actually had more of an
  590. 21:31impact on me than it did on them.
  591. 21:34There's an individual that I know, a
  592. 21:35piece of commercial real estate. They're
  593. 21:37trying to sell it. They've been trying
  594. 21:37to sell it for a while. And I they kind
  595. 21:40of every once in a while when I talk to
  596. 21:42them, they mention it and I say, you
  597. 21:43know, let me try to help you. So, I took
  598. 21:45the address and I put it into Grockbot
  599. 21:47and I said, "Hey, this thing hasn't
  600. 21:50sold. I want to try to sell it in the
  601. 21:51next 45 days. Come up with a plan, do
  602. 21:54the research, you know, all the things
  603. 21:55you would expect." It did what you would
  604. 21:57look at. It went and it found comps and
  605. 21:59it built the whole plan, whatever. And
  606. 22:00then it did something that I would have
  607. 22:02never personally thought to do. It went
  608. 22:04and it looked through all of the local
  609. 22:06real estate like land uh sales and it
  610. 22:10gave me a target list of people who have
  611. 22:12been buying up land in that area and
  612. 22:15said you might want to just call these
  613. 22:17people and see if they're interested.
  614. 22:19And I literally it was like a whoa and I
  615. 22:22called up this person and I said hey
  616. 22:26look at how smart I am. I have this list
  617. 22:29and then I eventually told him I said
  618. 22:30the AI created it. And so I've been
  619. 22:34thinking about this one moment where I'm
  620. 22:36like, how many people do you know who
  621. 22:38have ever listed any piece of real
  622. 22:40estate, residential, commercial,
  623. 22:41whatever, have ever thought maybe I
  624. 22:43should go build a target list to do
  625. 22:45outbound sales for the real estate.
  626. 22:47That's not something that you just like
  627. 22:48train on. And so the reason I say that
  628. 22:50is this idea of like AI is inevitable.
  629. 22:53Well, like if it's smarter than us and
  630. 22:54it can do things like that, then
  631. 22:56actually the race is not like just the
  632. 22:59hyperscalers and building and all this
  633. 23:01for people who are not involved in those
  634. 23:02businesses. It's actually how much
  635. 23:04penetration can you get AI into your
  636. 23:07life? How much are you going to use it?
  637. 23:10And the people who get there first,
  638. 23:12they're actually the ones who are going
  639. 23:13to be most successful and have the most
  640. 23:15productivity and all stuff.
  641. 23:17>> But investing wise, let's just shrink it
  642. 23:19down to that investing world.
  643. 23:21>> I know some people who use checkp claude
  644. 23:24whatever Google on steroids I think you
  645. 23:27use it much more advanced than that but
  646. 23:30there's somebody out there who's created
  647. 23:31a you know AI agent hedge fund that's
  648. 23:33trying to day trade whatever the further
  649. 23:36along that curve you get the better your
  650. 23:38return should be the better your
  651. 23:39finances should be and it just feels
  652. 23:42like when you view the world that way
  653. 23:44the people who are like AI is a bubble
  654. 23:47AI is not going to happen
  655. 23:49>> they kind of just sound stupid right
  656. 23:52like It's it's like so far behind. It's
  657. 23:54such a dinosaur world. What are we
  658. 23:56talking about?
  659. 23:57>> All right. So, let me give you two um
  660. 23:59forks on on this topic. And I think this
  661. 24:02is important. In fact, I'm going to
  662. 24:03direct it towards the parents.
  663. 24:06Um,
  664. 24:08so first I'm going to use a conversation
  665. 24:09I had with a friend of mine uh who I
  666. 24:12hadn't seen in a decade was in town and
  667. 24:16this person uh close to 40 decided to go
  668. 24:20back to school went to law school. So
  669. 24:24my first question was so how is school
  670. 24:28you know what Harvey is? And the person
  671. 24:30said yeah they were in the tech field.
  672. 24:32Okay. Yeah I know what Harvey is. Okay.
  673. 24:35um how's that impacting the way you view
  674. 24:37since you know it, how is this school,
  675. 24:39which is a really good school in New
  676. 24:41York,
  677. 24:41>> Mhm.
  678. 24:42>> dealing with this issue?
  679. 24:45>> And the person said it's it's
  680. 24:47incredible. It's almost like they're
  681. 24:50ignoring it,
  682. 24:52but to make it worse, and I I've I heard
  683. 24:55I've heard a lot of stuff. I've never
  684. 24:56heard this. Before they enter the
  685. 24:59classroom, they have to they can't enter
  686. 25:02with any technology.
  687. 25:04No phones, excuse me, no laptops, no
  688. 25:07nothing.
  689. 25:09>> This is what they've come up with at the
  690. 25:10schools.
  691. 25:11>> This is a law school.
  692. 25:12>> This is a prominent law school that
  693. 25:15every single person listening to this
  694. 25:16know. So, I don't want to get into the
  695. 25:18conversation because number one, I trust
  696. 25:20this person implicitly. And they didn't
  697. 25:21do it for any other reason. In fact,
  698. 25:24completely the opposite. This person is
  699. 25:25I only hang around with people that are
  700. 25:27very down to earth and can have deep
  701. 25:28emotional conversations and really enjoy
  702. 25:30the topic of where things are going. And
  703. 25:32this was literally like, "No, they don't
  704. 25:34know how to handle it. This is their
  705. 25:35solution. Their solution is we can't
  706. 25:39police it." And I understand why because
  707. 25:41recording devices, you don't need the
  708. 25:43professor anymore.
  709. 25:46>> You just have AI listen to it and then
  710. 25:48you're taking away the whole thing. But
  711. 25:49also, you don't know whose work is done.
  712. 25:52And my first response was, you know,
  713. 25:55who's going to know people that didn't
  714. 25:57do any work? the people that hire the
  715. 26:00person, the people like if you're not
  716. 26:03using AI in a creative way to get back
  717. 26:05to your point,
  718. 26:07you're making a this is what schools are
  719. 26:09doing to kids. Okay, this is
  720. 26:12unacceptable. Like this is unbelievable.
  721. 26:14>> You're making them raw dog classroom.
  722. 26:16That's crazy.
  723. 26:17>> Okay, we're we're teaching. You guys
  724. 26:19have to memorize.
  725. 26:20>> Y'all crazy out there.
  726. 26:21>> Um no phone. I'm surprised it's not
  727. 26:24withdrawal happened in the classroom.
  728. 26:26So, let me take what you did and connect
  729. 26:28it back to that same son I mentioned
  730. 26:30who's no longer 13. Okay? He's now a
  731. 26:35junior in college.
  732. 26:37So, as you go through this whole thing
  733. 26:40and you listen to what he's saying, so
  734. 26:41he's on an internship.
  735. 26:43>> Mhm. that internship.
  736. 26:46He tells me how excited he gets whenever
  737. 26:48there's a meeting because he enters the
  738. 26:51meeting and all he does is listen to the
  739. 26:54problems and he leaves with a ton of
  740. 26:57ideas because his goal is to please the
  741. 27:00people by solving their ideas with
  742. 27:02agentic workflows.
  743. 27:04>> Grock's just built the solution by the
  744. 27:05time the meeting's over.
  745. 27:06>> But and that he's been doing this now
  746. 27:09since July.
  747. 27:10>> Yeah.
  748. 27:11>> They don't want him to go back to
  749. 27:12school. He and I are talking about
  750. 27:13whether it makes sense for him to go
  751. 27:15back to school and finish up or not.
  752. 27:17>> If you don't allow your kids to use it,
  753. 27:19and this is the beauty of it, this whole
  754. 27:21like reverse engineering now,
  755. 27:24>> if your brain doesn't work when you hear
  756. 27:26something, you go, I can make money off
  757. 27:28that. I can make money off that. And
  758. 27:29you're trying to graduate with a degree
  759. 27:31where you're going to make money by
  760. 27:32graduating and being one of like those
  761. 27:34days are over. That is not the way this
  762. 27:36is going to work. And if you listen to
  763. 27:38what the A16Z podcast talk about, Mark
  764. 27:42literally said the gap between AI native
  765. 27:44companies and the incumbents has never
  766. 27:46been wider. Like it just keeps getting
  767. 27:49further apart. So you don't want your
  768. 27:52kids to go to one of these incumbent
  769. 27:54places. You actually want them to have
  770. 27:56these entrepreneurial skills that you're
  771. 27:57describing and create an idea that can
  772. 28:00monetize and turn into something. If
  773. 28:01you're a lawyer, you want to embrace
  774. 28:05using Harvey because Harvey can't
  775. 28:06replace all lawyers, but it can
  776. 28:08certainly speed up the process of being
  777. 28:10a great lawyer. I have a lot of ideas on
  778. 28:14what to do with my business cuz I think
  779. 28:16content keeps going up in value just
  780. 28:18like sports teams. But let me rephrase
  781. 28:21it. Good content. Content where you're
  782. 28:24actually trying to teach the people.
  783. 28:26You're trying to not scare the people
  784. 28:28and you're actually trying to get them
  785. 28:29to be empowered. I actually think
  786. 28:31there's value to that which is why I
  787. 28:32started to do this. I think when you
  788. 28:34start thinking about the issues and how
  789. 28:36you can leverage AI into your business,
  790. 28:38you start to get more empowered, but you
  791. 28:40also start to get a realization that
  792. 28:42there's infinite amounts of ideas of
  793. 28:44problems that need to be solved. And the
  794. 28:46reason is because most people don't use
  795. 28:48AI. It is also um I've been thinking a
  796. 28:52lot about active versus passive usage.
  797. 28:55So active usage is like I go to chatbt
  798. 28:57and I ask it a question. I had to type.
  799. 28:59Passive usage is every meeting is
  800. 29:02recorded. The AI takes the transcript,
  801. 29:04creates notes, emails the notes to
  802. 29:06everybody and uh then stores it
  803. 29:09somewhere so it can be referenced as
  804. 29:10context later.
  805. 29:12The passive usage to me is where most of
  806. 29:15the magic is. We see this with the
  807. 29:17proactivity of instinct, muse, dots, you
  808. 29:21know, Grockbot, whatever. And so as the
  809. 29:24world shifts more and more to the
  810. 29:26technology being available in a passive
  811. 29:28manner but like it's like passive plus
  812. 29:30automation
  813. 29:31>> you start thinking inside these
  814. 29:33businesses like we are going to just
  815. 29:35have autonomy like like it is going to
  816. 29:38become this autonomous thing inside of a
  817. 29:39company. Now there's a couple other
  818. 29:42things that I think are uh fascinating.
  819. 29:43I've told you before that um
  820. 29:46we have more agents that work at the
  821. 29:49public company than we do people. Right.
  822. 29:52Okay. I don't think that that's
  823. 29:53something for us to like beat our chest
  824. 29:54about. I think like that's becoming
  825. 29:55prevalent across a lot of companies. But
  826. 29:58recently uh we started thinking about
  827. 30:01okay we've been using most of the agents
  828. 30:02for analytics engineering you know
  829. 30:04things that are more uh kind of
  830. 30:06productivity and like product based
  831. 30:09now we're thinking about finance and
  832. 30:10operations. And so I went to finance
  833. 30:13operations folks I said hey what would
  834. 30:14you like? They started coming up with
  835. 30:16all kinds of use cases that I would have
  836. 30:18never thought of. And I said you know
  837. 30:20what's interesting? What if I just take
  838. 30:22what was essentially a brainstorm and I
  839. 30:24just feed it into you know whether it's
  840. 30:25Grockbox or something else and then I
  841. 30:26ask it
  842. 30:27>> ideas like this but make more of them
  843. 30:30you know like what else could we do it
  844. 30:32started coming up with a bunch more and
  845. 30:33like you just realize you're like wait a
  846. 30:34second here there is this very weird
  847. 30:38like relationship between the human and
  848. 30:39the machine where you're just going back
  849. 30:41and forth back and forth that then if
  850. 30:43you bring this back to the investor in
  851. 30:45the portfolio
  852. 30:47I have a portfolio I hear the bears
  853. 30:49yelling and screaming And there all
  854. 30:51kinds of things from interest rates,
  855. 30:52inflation to, you know, capex spending,
  856. 30:55whatever.
  857. 30:56But I talked to Dan Ies this week. He
  858. 30:59went to Korea and I asked him, I said,
  859. 31:01"What would your message to the bears
  860. 31:02be?" And he said, "Go to Korea." He
  861. 31:05said, "Go see the demand.
  862. 31:08You're saying look at what everyone is
  863. 31:10saying from the demand side." And so I
  864. 31:12just am separating the world out. Like
  865. 31:14there are people who are demand driven
  866. 31:15and that's what they're looking at and
  867. 31:16they're like, "How could we possibly be
  868. 31:18in a bubble? How can we possibly have
  869. 31:19this go to zero? And then there's people
  870. 31:21who are like, did you see how much money
  871. 31:23met Meta spent?
  872. 31:24>> And you're like, you kind of need the
  873. 31:26demand side of the equation to know
  874. 31:28whether this is a bubble or not. Right?
  875. 31:31>> So, I'm going to take a weird direction
  876. 31:32on on what you just said. And and I
  877. 31:37don't know how much I' I've brought this
  878. 31:38up, but um so let's use this proactive
  879. 31:41reactive thing. Okay.
  880. 31:43>> So, here's um a scenario that I'll
  881. 31:45equate to the relationship between
  882. 31:48AI and your life and how to use it in a
  883. 31:52way or a similar way to help people use
  884. 31:56their relationship with their therapist.
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  947. 34:06here's um a scenario that I'll equate to
  948. 34:09the relationship between AI and your
  949. 34:13life and how to use it in a way or a
  950. 34:16similar way to how people use their
  951. 34:19relationship with their therapist.
  952. 34:22Okay. So when I was very young, I read
  953. 34:26something and if I read a quote in
  954. 34:28anything and this is the reason why when
  955. 34:30I was younger, I would read the great
  956. 34:32thinkers of the world.
  957. 34:33>> Was it a book?
  958. 34:35>> Uh it probably was an excerpt in a book.
  959. 34:39Like to give you an idea, Ralph Waldo
  960. 34:40Emerson, life is a succession of lessons
  961. 34:43which must be lived to be understood.
  962. 34:44That grabbed me and I've I've I've
  963. 34:46memorized it. I say it all the time.
  964. 34:48There are certain things like that that
  965. 34:50that grab me. But one of the things was
  966. 34:54you can't love others until you love
  967. 34:57yourself. And I really thought about
  968. 34:59that and that got me into Freud. It got
  969. 35:02me into why would I have any chip on my
  970. 35:06shoulder towards my parents? What what
  971. 35:08is that about? What does that mean? Why
  972. 35:09is it driving me? Because I'm a very
  973. 35:11driven person still to this age. And a
  974. 35:14lot of it comes from my relationship
  975. 35:15with my father. And so I wanted to
  976. 35:18understand that because I wanted to love
  977. 35:20who I was at a young age, but I also
  978. 35:22wanted to make sure that I had no the
  979. 35:24chip was not anger. It was just
  980. 35:26gratitude. I wanted to turn it in there.
  981. 35:28So that led to me spending a lot of time
  982. 35:31with Sigman Freud and and evolving into
  983. 35:34other of the great psychologists/
  984. 35:37psychiatrists and I still believe
  985. 35:39psychology is a really important part in
  986. 35:41the markets. Charlie Munger, Warren
  987. 35:43Buffett. I view them as market
  988. 35:45psychologists as as much as anything. I
  989. 35:47wanted to learn from those those types
  990. 35:48of people. Um, and that gets me back to
  991. 35:51the relationship that I think people
  992. 35:53should be building with AI. And there's
  993. 35:55a very easy way to do what you said. I
  994. 35:57think with personal agents, with Muse
  995. 36:00right now, if people haven't done this,
  996. 36:03I want you whatever time of the week is
  997. 36:06import is is free for you. 8:00 on on
  998. 36:08Friday morning or 4:00 on Friday
  999. 36:11afternoon, Saturday morning at 6,
  1000. 36:14whatever time is free.
  1001. 36:16Have Muse at the end at that time every
  1002. 36:19week ask you
  1003. 36:2210 questions
  1004. 36:24about
  1005. 36:26are you happy with your life? Are you
  1006. 36:27happy with your workout? Are you happy
  1007. 36:28with your diet? Are you happy with work?
  1008. 36:30Are you happy? Like, and just say it.
  1009. 36:33Get it out. And then it can run off. in
  1010. 36:35the goal and you could say the goal is
  1011. 36:36for you to hear what I'm saying and then
  1012. 36:38come back with things that could make we
  1013. 36:41can improve on this literally like a
  1014. 36:43brainstorming session not with a
  1015. 36:44therapist but with someone that
  1016. 36:46understands your life. The more that you
  1017. 36:48do this and get used to this I think
  1018. 36:50you're going to start to realize if it's
  1019. 36:52your business like you're talking about
  1020. 36:54and I have a business that I'm building
  1021. 36:55and I'm very excited about where it can
  1022. 36:57go. I'm very excited to help people
  1023. 37:01embrace this. I did something last
  1024. 37:03weekend on or two last week on
  1025. 37:05compounding and describing why why a
  1026. 37:07construction worker son whose father
  1027. 37:09didn't go to graduate high school got
  1028. 37:11into the markets. Why did that happen?
  1029. 37:14Well, it happened because my math brain
  1030. 37:16was really good. My father taught me
  1031. 37:17well in probabilities. But it really
  1032. 37:18happened for one reason. I got a book
  1033. 37:21and on one page of the book, it said if
  1034. 37:23you double a penny every day, it's $10.7
  1035. 37:24million. And I went whoa. And the power
  1036. 37:27of compounding is one of the coolest
  1037. 37:28things in the world. and compounding
  1038. 37:31with AI is vital in your life. Now, if
  1039. 37:34you believe it's a bubble, by
  1040. 37:36definition, you're losing the
  1041. 37:37compounding nature of both from an
  1042. 37:39investment standpoint and a usage
  1043. 37:40standpoint. Plain and simple. It is
  1044. 37:42compounding at a pace never before seen
  1045. 37:44in technology. So, that power of
  1046. 37:46compounding that I identified as a young
  1047. 37:48kid when I was 16 years old that drove
  1048. 37:50me into this who didn't know what he was
  1049. 37:52going to do. He just knew he didn't want
  1050. 37:53to do construction work. He wanted to be
  1051. 37:55a compounder. Then you learn Moore's law
  1052. 37:58and what's Moore's law? exponential
  1053. 37:59compounding. It's the exact same thing
  1054. 38:01as the penny doubled. In fact, most
  1055. 38:03books with technology. So, if you're
  1056. 38:05messing with your future of your kids
  1057. 38:08because you believe AI is a bubble when
  1058. 38:10it's an inevitability that it will be
  1059. 38:11part of our life and that it'll be
  1060. 38:13disrupting the people who don't embrace
  1061. 38:14it, I think the first step to leverage
  1062. 38:16what you said is take AI and make it a
  1063. 38:19life coach. Make it a life coach asking
  1064. 38:22you the same questions every week and
  1065. 38:23it'll remind you, did you do what we
  1066. 38:25said last week? And I won't go through
  1067. 38:27the things I've already done that with,
  1068. 38:28but in particular, I get hyperfocused
  1069. 38:31on, hey, I want to improve my health a
  1070. 38:33little bit this week. What science will
  1071. 38:35do this? Those types of things to me are
  1072. 38:38really important for people to embrace.
  1073. 38:39So, I'm I'm going to leverage what you
  1074. 38:40said and just say this is somewhat like
  1075. 38:41therapy.
  1076. 38:43>> I love this idea because um it is human
  1077. 38:46in the loop like recursive learning.
  1078. 38:48Yeah.
  1079. 38:48>> Right. And um
  1080. 38:50>> and compounding of every week going
  1081. 38:51through it, the routine of it.
  1082. 38:53>> Correct. And I I do think that um
  1083. 38:56every uh every week I put together a
  1084. 38:59company update and in it I want to make
  1085. 39:02sure that we talk about what we did in
  1086. 39:03the past week, what we're going to do in
  1087. 39:04the next week. Not that rocket science,
  1088. 39:08but every morning I put priorities into
  1089. 39:11Slack to a certain group of people and I
  1090. 39:13basically say here's all the things I
  1091. 39:15got to work on. And some days it's
  1092. 39:16longer than others, but I put it all in
  1093. 39:17there. And what I have found is it's
  1094. 39:19really helpful for me at the beginning
  1095. 39:20of the day to write down here's things
  1096. 39:22I'm going to work on. But then at the
  1097. 39:23end of the week I say hey Grock go
  1098. 39:26through that thread and pull all the
  1099. 39:28things that we got done this week.
  1100. 39:30>> Magic. And you do that week after week
  1101. 39:32after week and hey for the month or the
  1102. 39:34quarter or you know whatever. And so
  1103. 39:35you're just feeding it information as
  1104. 39:37you go. Now we're talking about
  1105. 39:39corporate applications of this stuff or
  1106. 39:42personal applications. There are two
  1107. 39:44companies this week that came out that I
  1108. 39:45want to talk about. First is Warp
  1109. 39:47Sciences.
  1110. 39:48>> Before you do this, I just want to
  1111. 39:49interact sec for for 30 seconds. The
  1112. 39:53thread, I want to get people off of this
  1113. 39:56thing cuz I think it freaks people out
  1114. 39:57cuz then they have they have so many
  1115. 39:58threads, they're trying to go find it.
  1116. 40:00Muse is built for memory. It is the best
  1117. 40:04model out there right now for memory.
  1118. 40:06They spent the time to release it
  1119. 40:07because it needs to have memory. I use
  1120. 40:09Muse a ton right now because it
  1121. 40:12remembers everything, my recipes. And so
  1122. 40:14I don't need to go back and find the
  1123. 40:16thread. And even though I know you were
  1124. 40:17just saying that because you can do the
  1125. 40:18same thing with Grockbot, I just want to
  1126. 40:20remind people if you've had frustrations
  1127. 40:22with finding that thread because that's
  1128. 40:25where the memory is and that's where
  1129. 40:26you've been doing that conversation. You
  1130. 40:27don't need to do that with Muse. Go.
  1131. 40:29>> So I'll take it a step further actually.
  1132. 40:31uh if people want actionable things of
  1133. 40:32what to do with their AI, let's say
  1134. 40:35you're using Muse and let's just say
  1135. 40:37you've never used another AI ever before
  1136. 40:38as your first kind of experience. As
  1137. 40:41you're communicating with it, it's
  1138. 40:43saving all that stuff in memory, but
  1139. 40:45then all of a sudden Anthropics Duet
  1140. 40:47comes out or dots or Grockbot or you
  1141. 40:49know whatever. One of the very simple
  1142. 40:51things you can do is you can basically
  1143. 40:53say to whatever AI you use, hey, I want
  1144. 40:56to have a backup of your memory and we
  1145. 41:00can do it in Google Drive, we can do it
  1146. 41:01in notion, we can do it in Obsidian. Uh
  1147. 41:03drove files is something that we built,
  1148. 41:05right? Whatever. I want at the end of
  1149. 41:08every day or every week for you to take
  1150. 41:09all of the new information that you've
  1151. 41:10saved in your memory and I simply want
  1152. 41:12you to write it to the backup. And then
  1153. 41:15if something new comes out, you could
  1154. 41:16say, "Hey, by the way, rather than me
  1155. 41:18sit here and tell you all this new
  1156. 41:19information that I previously had told
  1157. 41:21you, just reference that notion
  1158. 41:23document, that Google drive, whatever."
  1159. 41:25The people who have done this are like,
  1160. 41:26"Now I can actually use four or five of
  1161. 41:29these different things cuz Muse is
  1162. 41:30really good at A, B, and C. This other
  1163. 41:32one's really good at this other thing,
  1164. 41:33but they all have shared memory, and
  1165. 41:34they're constantly feeding it back." And
  1166. 41:36actually, the memory becomes the really
  1167. 41:38important part, right?
  1168. 41:39>> Yep. And so, let's take a step. Everyone
  1169. 41:41has heard how good for you a daily
  1170. 41:43journal is. So, let's just like what
  1171. 41:46what what went on. Um, no, there's a
  1172. 41:48lot. I mean, writing down your thoughts,
  1173. 41:50>> having a gratitude diary, which I mean,
  1174. 41:52I keep track of the things I'm grateful
  1175. 41:54for. This started after 9/11. Like, I
  1176. 41:56had to do a eulogy on my best friend.
  1177. 41:58And my thought was, I have to turn this
  1178. 42:00into gratitude that I got to know this
  1179. 42:02person at all and the impact I had on my
  1180. 42:04life.
  1181. 42:04>> So, when people died, it became less
  1182. 42:06about the tragedy and more about
  1183. 42:09focusing on the gratitude. And that's
  1184. 42:10what helped me get through it in that
  1185. 42:12way. So if you go in muse at the end of
  1186. 42:14every day for a minute and just say this
  1187. 42:16is what I'm grateful for today plus this
  1188. 42:19is what I want to remember that happened
  1189. 42:20today.
  1190. 42:22Then in a month if you go back and say
  1191. 42:24hey will you go through the daily
  1192. 42:26journal and just take the last 30 days
  1193. 42:29what have I said like what's the
  1194. 42:30progress of what's gone on in my life
  1195. 42:32what have I talked about repeatedly is
  1196. 42:34there anything with inside the insights
  1197. 42:36I'm just telling people that doing that
  1198. 42:38type of stuff is going to become the
  1199. 42:40norm and being able to be happy again if
  1200. 42:44you don't love yourself
  1201. 42:46>> you'll love the AI
  1202. 42:46>> you can't love others and this is where
  1203. 42:48I really do believe that technology has
  1204. 42:50made people not like themselves as much
  1205. 42:52as they should and I think there's a lot
  1206. 42:54more anger in the world and I do believe
  1207. 42:56that as time goes on technology will
  1208. 42:57have if you use it to help you and help
  1209. 43:01you all these things your health your
  1210. 43:05finances your job but most importantly
  1211. 43:08if you become optimistic right now and
  1212. 43:11empowered
  1213. 43:12you're ahead of 99% of the people as far
  1214. 43:14as I'm concerned
  1215. 43:15>> 100% I I could not agree more don't fall
  1216. 43:18in love with the AI is my only warning
  1217. 43:20it's like you know smoking can cause
  1218. 43:22cancer.
  1219. 43:23Talking too much to the AI about
  1220. 43:25personal feelings could uh make you fall
  1221. 43:26in love. Um I don't know. I'm not
  1222. 43:29speaking from personal experience. Um
  1223. 43:32Warp Sciences.
  1224. 43:34So Kevin Wheel, uh amazing guy, a great
  1225. 43:37entrepreneur and operator. Uh he was the
  1226. 43:39former chief product officer at OpenAI.
  1227. 43:41He has now started a company where he
  1228. 43:43basically wants to be at the forefront
  1229. 43:45of AI, biotech, healthcare, etc. You've
  1230. 43:48been talking a lot about this. Um is
  1231. 43:50one. And then two, war hounds.
  1232. 43:54Palmer Lucky and uh this biotech company
  1233. 43:58uh that's been working on animals.
  1234. 44:00They're collaborating and they are
  1235. 44:02creating war hounds which is they're
  1236. 44:03going to create genetically modified
  1237. 44:06dogs to put on the battlefield and
  1238. 44:09Anderville is going to make them special
  1239. 44:10gear. So, you know, it's pretty crazy.
  1240. 44:14You're going to have genetically
  1241. 44:15modified and amazing rabid war dogs that
  1242. 44:18we then are going to put and gear on,
  1243. 44:20including lasers and visuals and packs.
  1244. 44:27I mean, this is where we're going.
  1245. 44:28>> Sharks with laser beams. Is that what
  1246. 44:29we're talking
  1247. 44:30>> Listen, are you saying they're not real?
  1248. 44:32Are you saying they're not real, Jordy?
  1249. 44:34Come on. The uh I mean, but but if you
  1250. 44:37start to look at some of these things,
  1251. 44:38they all on oneoff, you're like, "Oh,
  1252. 44:40okay. AI and biotech. Interesting. It's
  1253. 44:44a nice company.
  1254. 44:46>> Warhounds. Oh, Palmer's being a little
  1255. 44:47crazy. Whatever.
  1256. 44:50But wait a second. When you zoom out and
  1257. 44:52you look at these companies, like we are
  1258. 44:55in the economic boom. We are in the
  1259. 44:57like, you know, there's the J curve
  1260. 44:59where you're you're negative.
  1261. 45:01>> Mhm.
  1262. 45:01>> We're positive, baby. We we are up and
  1263. 45:04to the right aggressively in terms of
  1264. 45:06ambition, technology, innovation, the
  1265. 45:08acceleration of these companies. These
  1266. 45:09war hounds, by the way, you want to try
  1267. 45:11to guess the valuation coming out of the
  1268. 45:13gate?
  1269. 45:14>> What is it?
  1270. 45:15>> Billion.
  1271. 45:16>> Yeah,
  1272. 45:17>> the dogs are worth a billion.
  1273. 45:19>> Um,
  1274. 45:23so
  1275. 45:23>> you want one of the genetically modified
  1276. 45:25dogs?
  1277. 45:25>> No. I'm going to give people two two
  1278. 45:27good stories. Okay.
  1279. 45:28>> Jordy walking around Brooklyn with a
  1280. 45:30genetically modified war dog. At the
  1281. 45:33very end of the A16Z podcast, probably
  1282. 45:35the most important thing for people that
  1283. 45:37I think everyone will raise their hand
  1284. 45:38and say, "I want that immediately."
  1285. 45:41What they said was, "This was not one of
  1286. 45:43them. So, they've obviously seen this or
  1287. 45:45they've heard it from someone
  1288. 45:48is basically, we'll soon be able to
  1289. 45:51understand what our animals and pets are
  1290. 45:53saying to us." Okay? Convert their
  1291. 45:55language into what's happening. So
  1292. 45:59that's more of a rather than war dogs
  1293. 46:01being able to understand your animals
  1294. 46:03much more as far as I'm concerned for
  1295. 46:05people out there cuz pets is a huge
  1296. 46:06thing I can tell you Williamsburg it's
  1297. 46:08it's very difficult to walk around
  1298. 46:09Williamsburg and not see people's pets
  1299. 46:11and what the pets do. So
  1300. 46:12>> so imagine if you had a war dog he'd be
  1301. 46:14the big dog of the block.
  1302. 46:16>> Um the second thing I want to get back
  1303. 46:18to something I've written about and I
  1304. 46:20think is really important. So in this
  1305. 46:21week of AI destruction
  1306. 46:25a company made a new all-time high.
  1307. 46:27valuation is quickly rising the ranks,
  1308. 46:30especially relative to the other ones at
  1309. 46:32the top of the list, and that would be
  1310. 46:33Eli Liy.
  1311. 46:33>> Come on, take your victory lap.
  1312. 46:35>> No, no, no. It's not a victory lap yet
  1313. 46:36until it's the biggest company in the
  1314. 46:38United States of America, which I will
  1315. 46:39continue to say will happen within 5
  1316. 46:41years.
  1317. 46:42>> You think it'll be bigger than Nvidia,
  1318. 46:44all these guys,
  1319. 46:44>> bigger than all of them. Um, and there's
  1320. 46:46a reason, and this is the reason why
  1321. 46:50what can't be disrupted the next 5 years
  1322. 46:53is helping people get better. There's a
  1323. 46:56very slow process that has to get in
  1324. 46:58before human beings are allowed to take
  1325. 47:00and ingest pills.
  1326. 47:02>> Ompic has helped a lot of people in the
  1327. 47:04country based on the fact that people
  1328. 47:06are not going to die from diabetes and
  1329. 47:10all types of other ailments or or things
  1330. 47:13that it's had an impact in or growing.
  1331. 47:15This weekend I will talk a lot about
  1332. 47:17Toon Lab. I did a subscriber video this
  1333. 47:19week where I highlighted but here's the
  1334. 47:20thing. Eli Liy made new all-time highs
  1335. 47:22this week. The S&P 1500 life sciences,
  1336. 47:26biotech, and pharma index made new 52-
  1337. 47:30week highs during a week where
  1338. 47:32everything related to AI is going down.
  1339. 47:35You know what the power of that is? The
  1340. 47:37reason that Nvidia to me is seeing its
  1341. 47:40multiple go down is because it will
  1342. 47:42eventually
  1343. 47:44be disrupted in some way.
  1344. 47:45>> Mhm.
  1345. 47:47>> In the next 5 years, I don't know, but
  1346. 47:50the market's building in that it will be
  1347. 47:51disrupted. If you ask me, they are the
  1348. 47:53safest company to own. Do I think they
  1349. 47:55will continue to go higher? It's one of
  1350. 47:56my biggest longs. My biggest long as of
  1351. 47:58right now is Eli Liy. Then we've got
  1352. 48:01Nvidia. Then we've got Marll. So I have
  1353. 48:03basically my AI trade.
  1354. 48:05>> Marvel. Let's go speed it up. So what
  1355. 48:07you have is the reason this is so
  1356. 48:09important. We're getting to the point
  1357. 48:11that people have to start to realize
  1358. 48:12that when they worry about energy prices
  1359. 48:15like oil, okay, energy of personal
  1360. 48:18consumption is now less than 3%.
  1361. 48:23Healthcare is 20 plus%. It's about 22 to
  1362. 48:2623 depending on how you go through the
  1363. 48:28measurement. It's non-yclical. It's
  1364. 48:30funded by both the government and
  1365. 48:32insurance companies that you work for.
  1366. 48:33Meaning you get sick, you go, it's paid
  1367. 48:35for. So that's why it's a non-yclical
  1368. 48:38part. So it has the AI benefit of drug
  1369. 48:41discovery of everything associated. It
  1370. 48:44already is a massive it is the number
  1371. 48:46one thing people spend on in the
  1372. 48:48country. Number one, transfer home way
  1373. 48:52lower, house, autos way lower. This was
  1374. 48:54not the case 40 years ago. So during the
  1375. 48:571970s when energy was a big deal, you go
  1376. 49:00back and look at healthcare, it was
  1377. 49:01nothing compared to your house and your
  1378. 49:03home. So heating it and driving it was
  1379. 49:06very very much related to energy in one
  1380. 49:08part. It was also related to interest
  1381. 49:10rates. Healthcare doesn't have that. So
  1382. 49:13if you're worried about the AI buildout
  1383. 49:14and the delays, get long the healthcare
  1384. 49:16sector. And that's what you're starting
  1385. 49:18to see is rotation into sectors that do
  1386. 49:20not have cyclicality. Nvidia is still a
  1387. 49:23cyclical company. Micron is still a
  1388. 49:24cyclical company. If there's a delay, if
  1389. 49:26there's an overpurchase of GPUs and we
  1390. 49:28can't get the power, well then at some
  1391. 49:30point Nvidia is not going to sell as
  1392. 49:32many chips because people won't store
  1393. 49:34them anymore. Right now there's a lot of
  1394. 49:36places that have a lot of GPUs because
  1395. 49:38they know they're going to need them in
  1396. 49:395 years, four years, 3 years, 2 years.
  1397. 49:41If we can't get the power done, then
  1398. 49:43they don't happen. So I think on on the
  1399. 49:46side of the breakthrough side, we are
  1400. 49:48entering that period where the
  1401. 49:50breakthroughs are going to start to
  1402. 49:51become the place to invest because
  1403. 49:53they're mispriced because pharmaceutical
  1404. 49:56companies historically traded a very low
  1405. 49:58multiple and the reason is cuz they're
  1406. 50:00safe and they don't have any cyclicality
  1407. 50:02meaning there's no growth. If these are
  1408. 50:04becoming growth stocks, which Eli Liy
  1409. 50:06has been, and for people who don't know
  1410. 50:07this, you may not know this. Eli Liy has
  1411. 50:10been up 10 years in a row. There's no
  1412. 50:14tech companies that have done that. 10
  1413. 50:16years in a row. Okay? So, none of the
  1414. 50:18big tech companies, they were almost all
  1415. 50:19of them were down in 2022. Not Eli Liy.
  1416. 50:2110 years in a row. You know what its
  1417. 50:23kager is over the 10 years? Over 30%.
  1418. 50:26You've made a lot of money if you've
  1419. 50:28just sat in Eli Liy purely based on
  1420. 50:30Ozmpic. But I can lone
  1421. 50:33>> I will say it again. Eli Lilly's cash
  1422. 50:36cow allows them to do things like Toon
  1423. 50:39Lab. I talked about Harvey. If people
  1424. 50:41have now looked up Harvey and they're
  1425. 50:42like, "Oh my gosh, this is where all the
  1426. 50:44lawyers are coming together." Go look at
  1427. 50:46what Toon Lab is and just see that they
  1428. 50:48now have 135 different companies that
  1429. 50:51are putting in information on their IP
  1430. 50:54into this supercomput that Eli Liy set
  1431. 50:57up so that all of them can benefit and
  1432. 51:00collaborate like a Manhattan style
  1433. 51:02project on the information to try and
  1434. 51:04solve their we are going to solve a lot
  1435. 51:06of different things going forward and
  1436. 51:08this is going to be a big part of the
  1437. 51:09next 5 years.
  1438. 51:10>> Ladies and gentlemen, that's what we
  1439. 51:11call mic drop. That's it for today. Go
  1440. 51:15check him out on YouTube. Just search
  1441. 51:17Jordy Visser. His Sunday video is
  1442. 51:19excellent. I highly recommend it. Go
  1443. 51:20check out sylvia at sylvia.com. Secure,
  1444. 51:23private, accurate AI agent to better
  1445. 51:25manage your finances. Jordy, thank you
  1446. 51:26very much. See you guys next week.

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