YouTube2Text

Easy Reveals the AI Sleeper Stock Nobody Saw Coming — Transcript

by Market Bubble · 12,056 words · 1,866 segments · language en · Watch on YouTube

Full transcript

  1. 0:00Yo, let's go.
  2. 0:03Brother, how are you?
  3. 0:04>> I'm good, bro. I'm good. I cannot
  4. 0:06complain. Life is good, man. The The AI
  5. 0:07trades have been They've been fun, man.
  6. 0:09They've been fruitful.
  7. 0:10>> Bro, I've been I've been seeing you
  8. 0:12crush it, bro. I feel like you've been
  9. 0:13pretty consistent.
  10. 0:15You've been consistent with the
  11. 0:16streaming. You've been sharing the
  12. 0:17trades on stream. You've been posting
  13. 0:18your updates and everything. Bro, how's
  14. 0:20that been? Like put me on, bro. What
  15. 0:22What am I missing?
  16. 0:22>> mean, the big thing for me like just
  17. 0:24like you, I was a very early Solana
  18. 0:26bull, right? Like you and me were so
  19. 0:28heavy early. You were obviously a little
  20. 0:29bit earlier. I got in in August of '21
  21. 0:32when the ETH NFT stuff was popping off.
  22. 0:34And I was like, dude, gas is crazy. I
  23. 0:36was like, this is nuts. Like I'm
  24. 0:38spending thousands of dollars to mint
  25. 0:39the picture. And Solana mint started and
  26. 0:41I was like, okay, this is a much better
  27. 0:42user experience.
  28. 0:43>> Yep.
  29. 0:43>> So then I was like, this just makes
  30. 0:44sense. Then STEPN happened. And I was
  31. 0:46like, oh [ __ ] okay. Like this is the
  32. 0:48user experience people are going to
  33. 0:49want. So I went like crazy hard on that,
  34. 0:52did really, really well. And I mean,
  35. 0:53I've been trading equity since I was
  36. 0:54like 16. I'm like a custodial account
  37. 0:56and like all this stuff. So like I've
  38. 0:57been reading 10-Ks and everything. Like
  39. 0:59I'm deep in the equity side. But I never
  40. 1:01really talked about it. And then now we
  41. 1:02have this like convergence of crypto and
  42. 1:05TradFi. And I'm like, okay, now I can
  43. 1:07have some fun.
  44. 1:08>> It's time.
  45. 1:08>> So like bro, this morning there was I'm
  46. 1:11really like interested in the Russell
  47. 1:122000 right now. So like low caps versus
  48. 1:15the mid and high caps on the equity
  49. 1:17market cuz the S&P's going crazy. But if
  50. 1:19you go down the risk curve, the
  51. 1:20Russell's outperformed the S&P year to
  52. 1:22date almost 2x. S&P's up 7%.
  53. 1:25>> Year to date? Really?
  54. 1:27>> up 15.
  55. 1:27>> Oh, [ __ ]
  56. 1:29>> And people overlooked that. So this
  57. 1:30morning I was like, yo, let me figure
  58. 1:31out which
  59. 1:33tickers have the most upside in the
  60. 1:35Russell that are like positive
  61. 1:37>> Uh-huh.
  62. 1:37>> with the revenue and are AI adjacent.
  63. 1:39And this morning me and the chat, I
  64. 1:42started a $1,000 account on equities
  65. 1:44that were just like running up with the
  66. 1:45chat. And I found this ticker called
  67. 1:47InnoData.
  68. 1:48So it's I N N O D A
  69. 1:50>> I N N O D A
  70. 1:51Okay.
  71. 1:52>> Bro, wait till you see what it's looking
  72. 1:53at after market. This [ __ ] is crazy.
  73. 1:55>> It's [laughter] up Oh, [ __ ]
  74. 1:57>> So we went all in on this this morning.
  75. 1:59>> Damn. Oh, you're up up. You're up fat.
  76. 2:03>> Like stupid up. They beat earnings by
  77. 2:05433%.
  78. 2:07But, I knew I was like wicked positive
  79. 2:09this thing would crush when I looked at
  80. 2:10the business model. Bro, so they label
  81. 2:12data. It's a data labeling company. So,
  82. 2:15when AI ingest data, it has to have
  83. 2:17labels on where to aggregate it so that
  84. 2:19when the model actually takes that data
  85. 2:21and knows where to like put it for the
  86. 2:22model. This company's a third party that
  87. 2:24just labels all that data. So, it's a
  88. 2:26data labeling company. I was like,
  89. 2:27"Okay, now
  90. 2:29>> Not to get this highly intelligent
  91. 2:30finance conversation up, but I heard you
  92. 2:32say wicked?
  93. 2:33>> Yeah, bro. Yeah.
  94. 2:34>> Are you from Boston?
  95. 2:35>> I lived there for 7 years.
  96. 2:36>> Wow.
  97. 2:37>> [laughter]
  98. 2:37>> Yeah. Bro, so I used to watch you and
  99. 2:39the guys when you guys had the house
  100. 2:41early, like dumb early. You and that
  101. 2:43whole crew.
  102. 2:43Like way way way back.
  103. 2:45>> Your demographic is exactly the the the
  104. 2:47people that show me the most love. It's
  105. 2:49uh
  106. 2:50It makes me feel incredibly old. Like
  107. 2:52that that this is the type of
  108. 2:53conversation where I'm like, "Wait, you
  109. 2:55are 40 years old. You are pushing 40."
  110. 2:56>> I mean, I
  111. 2:57>> [laughter]
  112. 2:58>> I turned 33 this year. So, like CT calls
  113. 3:00me young. They call me old.
  114. 3:02I'm still trading memes and still like
  115. 3:04in the trenches with some of these
  116. 3:05dudes. And listening to them, I'm like,
  117. 3:06"Okay, I You got You guys are much
  118. 3:08younger than me." Like
  119. 3:09>> Appreciate you coming on the show, bro.
  120. 3:11And I
  121. 3:12Something that really sparked sparked
  122. 3:14interest in what you guys were just
  123. 3:15talking about is how TradFi and crypto
  124. 3:17are kind of like the merge happening.
  125. 3:19It's all one becoming one thing, which I
  126. 3:22think is really really good for um
  127. 3:25not Oh, you guys putting his name tag
  128. 3:27in?
  129. 3:28The [ __ ] is production doing? Not.
  130. 3:30>> [laughter]
  131. 3:32>> That threw me off. But, um obviously I'm
  132. 3:34like attention media content brain
  133. 3:36[ __ ] FaZe Banks, FaZe the [ __ ] up,
  134. 3:38New York FaZe House, like whatever. I've
  135. 3:39been doing that my entire life. Um I
  136. 3:41feel like
  137. 3:42finance, especially like crypto, like
  138. 3:45internet capital markets, like deep
  139. 3:47whatever. I feel like the content
  140. 3:49vertical has been super [snorts]
  141. 3:50underwhelming, super lacking over the
  142. 3:52last couple cycles and and over the last
  143. 3:55the recent years and even today like we
  144. 3:57we have like thread guy doing his thing
  145. 3:59and [ __ ] Raz has a stream and they
  146. 4:01have like these little small niche
  147. 4:02audiences.
  148. 4:03>> Yeah.
  149. 4:03>> We we obviously see what TBPN does, but
  150. 4:05that's more like the traditional tech
  151. 4:07side of things. Um how do you feel about
  152. 4:09the show? Like I know obviously
  153. 4:11obviously us coming out with this show
  154. 4:14like
  155. 4:15you know there was [laughter] there was
  156. 4:15some picture of you
  157. 4:16>> bro, I think it's a good dynamic. Like I
  158. 4:19know that um I've seen a bunch of takes
  159. 4:20on CT about it and it's one of the other
  160. 4:23extreme. Some people are like I hate
  161. 4:25this and other people are like this
  162. 4:25makes sense. And I think the two of you
  163. 4:27guys have a such a unique dynamic cuz
  164. 4:30like I've gone back and forth with Ansem
  165. 4:31forever. Like literally for years at
  166. 4:33this point just like talking disease and
  167. 4:35like very publicly cuz
  168. 4:37me and him have done very similar things
  169. 4:39on the timeline where it's like just
  170. 4:40post your trade. Like and I know people
  171. 4:42get pissed when like you lose or don't
  172. 4:44have a good trade, but at the same time
  173. 4:46my thought is like if I'm not posting
  174. 4:47the trade someone else will. And like
  175. 4:49for me, I would rather air it out cuz
  176. 4:52when one person wins,
  177. 4:54it feels that much better and I know
  178. 4:55like when I lose, they lose too, but
  179. 4:58it's not like I'm not taking these
  180. 4:59trades. So like if I'm taking them, why
  181. 5:01not share it? And your guys' dynamic so
  182. 5:02interesting, especially listening to
  183. 5:03that whole conversation with Miz was
  184. 5:06talking the whole content side of things
  185. 5:07was really interesting to then see him
  186. 5:09getting into the finance side. I saw his
  187. 5:11video obviously and I was like okay,
  188. 5:13this is all slowly clicking because my
  189. 5:15bet on everything and it's actually like
  190. 5:17the whole court thesis why I'm long
  191. 5:18Robinhood, which is wicked funny,
  192. 5:20>> Mhm.
  193. 5:20>> is more people are going to spend time
  194. 5:21online and more people are going to
  195. 5:23navigate to the things that kind of do
  196. 5:25everything in one place, right? Like
  197. 5:27streaming makes sense. I think modern
  198. 5:28day media is going to move to the
  199. 5:29internet. I think shows like this people
  200. 5:31are going to tune in. I like that it's
  201. 5:32only once a week cuz it's way easier for
  202. 5:34people to tune in once a week and commit
  203. 5:36however long for that once a week versus
  204. 5:38every day for multiple hours, which is
  205. 5:40where you see more of the clips. But
  206. 5:41then I also think like more people are
  207. 5:43going to spend more time online and the
  208. 5:44younger generation coming up is going to
  209. 5:46find more of their information online.
  210. 5:48So like long-winded answer, I like the
  211. 5:49idea you guys have for this and I'm
  212. 5:51excited to continue to see it grow and
  213. 5:52you guys are both so well connected that
  214. 5:54you're going to have awesome guests on.
  215. 5:56So it's like
  216. 5:57it just makes sense. And you guys are
  217. 5:59both just educating. Like watching both
  218. 6:00of you learn about different topics
  219. 6:02helps the audience cuz Z is going to
  220. 6:04pull an audience of people from CT,
  221. 6:07you're going to pull an audience from
  222. 6:07the creator side and everything else and
  223. 6:10just people who know you from the
  224. 6:11content that it's going to kind of blend
  225. 6:13these two worlds that I think just make
  226. 6:14the most sense.
  227. 6:15>> It's cool that that's what you've
  228. 6:16gathered and gotten cuz that's exactly
  229. 6:18what we're going for. That's exactly
  230. 6:19[laughter] what we're trying to
  231. 6:20accomplish with this. That's exactly why
  232. 6:22I think him and I make
  233. 6:23perfect sense as far as just like being
  234. 6:25the host of the show.
  235. 6:26>> Oh, it's great.
  236. 6:27>> a perfect match in my opinion. I think
  237. 6:29you guys are doing the right thing here
  238. 6:30and I'm excited just to see some of the
  239. 6:31tickers cuz I I also heard you guys
  240. 6:32mention Eyen.
  241. 6:33>> Uh
  242. 6:34>> Yeah.
  243. 6:34>> Was I think Z mentioned it?
  244. 6:35>> Yeah, last week.
  245. 6:36>> on TG stream last week and I mentioned
  246. 6:39PWR Quanta Services.
  247. 6:41>> Uh-huh.
  248. 6:41>> Similar play.
  249. 6:42>> Yeah, yeah.
  250. 6:42>> Um and that thing went crazy. But the
  251. 6:44whole it's like when I look at the AI
  252. 6:45stuff, I'm like going layers deeper
  253. 6:47where like I'd rather just bet on the
  254. 6:48data center than which AI model's going
  255. 6:50to win because they need the data center
  256. 6:52more than anything else.
  257. 6:53>> Mhm.
  258. 6:53>> And then like when you really get down
  259. 6:54to it, dude, you could like just buy
  260. 6:56copper and uranium.
  261. 6:57>> I know. I saw They're like breaking out
  262. 6:59right now, both of them.
  263. 7:00>> Yeah.
  264. 7:00>> Uranium's going to go crazy.
  265. 7:02>> Yeah,
  266. 7:02>> [laughter]
  267. 7:02>> in my opinion.
  268. 7:03>> Bro, Microsoft's rebuilding Three Mile
  269. 7:05Island.
  270. 7:06>> Yeah, I know.
  271. 7:07>> cleaning it up. So like when you start
  272. 7:08to get really down into the granular
  273. 7:10level of this stuff, I'm like, oh yeah,
  274. 7:12you could literally bet on copper for
  275. 7:13the wires that are needed for data
  276. 7:15centers and uranium to power it and you
  277. 7:16don't have to care about anything else
  278. 7:18outside of that. So that to me is just
  279. 7:20like you could get so granular with this
  280. 7:22trade and there's so many levels that
  281. 7:24haven't broken out where like this data
  282. 7:26labeling play, it's 1.4 billion. You
  283. 7:28mentioned WIF. WIF traded at 2X the
  284. 7:30market cap of this this public company.
  285. 7:32>> [laughter]
  286. 7:33>> Bro, it's crazy.
  287. 7:35Bro, I didn't realize like how low a lot
  288. 7:37of these stocks are, bro. I honestly
  289. 7:38didn't. I had no idea. It's like if you
  290. 7:40go really deep in research and it's
  291. 7:41companies that have been around for like
  292. 7:43years, like years and years and years.
  293. 7:45>> Like this company has been around 10
  294. 7:46plus years and I'm like, why is it
  295. 7:48trading at 1.4 billion and AI needs
  296. 7:50this? Like what are we talking about
  297. 7:51here?
  298. 7:52>> I was going to I was going to ask you
  299. 7:53what the market cap of that [ __ ] was.
  300. 7:55That's insane.
  301. 7:56>> 1.45. I mean now it's probably like 1.7
  302. 7:57because it's up 25% after hours.
  303. 8:00>> What company is this? It's Inno Inno
  304. 8:02data, right?
  305. 8:03>> Yeah, Inno data, I N O D. It's like
  306. 8:06dude, I I found it this morning and I
  307. 8:07had never even looked into it before. I
  308. 8:09stream in the mornings like pre-market
  309. 8:10open and we like live trade with the
  310. 8:13audience because I do a $1,000 hyper
  311. 8:15liquid portfolio, $1,000 equity
  312. 8:17portfolio to just like make it relatable
  313. 8:19like sizing wise cuz
  314. 8:20there's a lot of people don't have the
  315. 8:21capital
  316. 8:22that like a lot of people who make
  317. 8:23content and I'm like all right, let's
  318. 8:24make this like wicked relatable where
  319. 8:26you can buy a call option for 150 bucks,
  320. 8:29right? So I'm like, we buy calls. I'm
  321. 8:32like this feels severely undervalued.
  322. 8:34They have earnings and bro, the earnings
  323. 8:36chart it beat by 433%
  324. 8:39and their guidance [laughter] is like,
  325. 8:39yeah, we're going to do 200% revenue
  326. 8:41this year.
  327. 8:42>> You have a pretty good understanding of
  328. 8:44like content and stuff. Are you like
  329. 8:45aiming to do that? Have you been doing
  330. 8:47more and more content?
  331. 8:48>> Yeah, so I'm streaming 5 days a week in
  332. 8:49the morning at 9:00 a.m.
  333. 8:51>> Sick, I was unaware. That's cool. That's
  334. 8:53awesome.
  335. 8:53>> So and that's the thing like I mean I've
  336. 8:54been I make YouTube videos and all this
  337. 8:55other stuff. It's much smaller. I'm like
  338. 8:57way bigger on X, but I blew up on X
  339. 8:59because I just was so public with trades
  340. 9:01cuz when I got into this dude
  341. 9:03I hated the capital
  342. 9:03>> I did too. Like all the all the NFT
  343. 9:05stuff, all my earliest stuff I just
  344. 9:06posted what I bought. Like and I I would
  345. 9:08post when I sold. Then it was
  346. 9:10>> Yeah, that's a big thing. And I took it
  347. 9:11even one step further where I posted my
  348. 9:12exit targets on NFTs.
  349. 9:14>> Yeah, I'm buying but I I try to do it
  350. 9:16with MLG. I I I posted I'm going to
  351. 9:18start trimming profits at 100 mil and I
  352. 9:20didn't. I top blasted instead and still
  353. 9:22I'm in the [ __ ]
  354. 9:24>> You and me went band for band on MLG.
  355. 9:26I'm
  356. 9:26>> Oh, did we?
  357. 9:27>> Yeah, [laughter] we both
  358. 9:28had 10K.
  359. 9:29>> I'm familiar with your name by the way.
  360. 9:30Like I've obviously seen you on CT.
  361. 9:32We've gone back and forth like I
  362. 9:34I I I recognize you for sure. Um, know
  363. 9:37you were as deep into the content stuff,
  364. 9:38but um, then you were there. You saw how
  365. 9:40it started. Like the MLG stuff. Bro, I
  366. 9:42[ __ ] bought that off the timeline at
  367. 9:443 mil. And then I'm like, wait a second.
  368. 9:47My thesis starts to build. FaZe Banks
  369. 9:49just bought MLG. So, now this is like
  370. 9:51the gamer culture coin. This is when all
  371. 9:53the culture coin [ __ ] shit's going
  372. 9:55crazy. There's [ __ ] 10 different
  373. 9:57coins with multi-billion-dollar market
  374. 9:59caps. I got [ __ ] Kenny the quant in
  375. 10:01the next room like, this is the easiest
  376. 10:02[ __ ] 20x in crypto.
  377. 10:04>> [laughter]
  378. 10:06>> I start buying it and [ __ ] it's fun
  379. 10:09for me because it's like it's so hits so
  380. 10:10close to home, whatever. And then
  381. 10:12obviously, you know, Trump does his
  382. 10:13thing. Milani does his thing. I go on a
  383. 10:15[ __ ] Raw stream and now it's like
  384. 10:17>> crazy.
  385. 10:18>> Yeah, it's crazy.
  386. 10:19>> bro. Like I'm I'm ready for it, too, cuz
  387. 10:20I'm going to post bad trades that people
  388. 10:21take and get pissed. But it's at the
  389. 10:23same time, like my response is always,
  390. 10:25well, you're not posting your trades.
  391. 10:26>> But it's also [ __ ] stupid. Bro,
  392. 10:28nobody's doing it, bro. Like literally,
  393. 10:30nobody's doing it. Nobody's doing
  394. 10:32>> It was a great trade. It was an
  395. 10:33objectively a good trade. Buy this at $3
  396. 10:35million at random.
  397. 10:37Run to $200 million. I mean
  398. 10:39I made people rich with this call. I
  399. 10:40made people rich talking about this. You
  400. 10:42know what I'm saying? And I'm [ __ ] I
  401. 10:44don't know. It's it's crazy. It's crazy.
  402. 10:46>> It's just part of the game, though, bro.
  403. 10:47>> Yeah, I know. I know.
  404. 10:48>> For sure.
  405. 10:49>> And it's why like even when people were
  406. 10:50trying to fud Ansem for the $1.50 thing,
  407. 10:52I found the thread and just quoted it
  408. 10:53and was like, all right, chat. He uh he
  409. 10:55did in fact buy. [laughter] Like just
  410. 10:56had the receipt. I was like, it's
  411. 10:58literally right here. Like I don't know
  412. 10:59why we're going crazy over this. He he
  413. 11:01bought it.
  414. 11:02>> It's like it loops all the way back to
  415. 11:03the point and purpose of the show is
  416. 11:04just worry about yourself, invest in
  417. 11:06yourself. You got to almost got to put
  418. 11:07the blinders on cuz it's like something
  419. 11:09as silly as the Ansem thing. Like the
  420. 11:10the you're lying and larping about
  421. 11:12buying a $1.50. There's clear evidence
  422. 11:14on Twitter. You don't You're two clicks
  423. 11:16away from finding it, and you're not
  424. 11:18bothering to get there because it's more
  425. 11:20fun for you or more favorable to farm
  426. 11:22the the the way that people do. You
  427. 11:24know, it's it's It's like
  428. 11:25>> People care more about impressions than
  429. 11:27their own bankroll, which is just a
  430. 11:28crazy thesis.
  431. 11:29>> 100%.
  432. 11:29>> so true, though.
  433. 11:30>> You care more about a couple of Elon
  434. 11:31bucks than actually making your money go
  435. 11:33up. Like there's so much good
  436. 11:47That's why understanding attention
  437. 11:48outlet
  438. 11:59But even just understanding the way that
  439. 12:00it works, the way that attention is
  440. 12:02traded, the way that attention is
  441. 12:03accumulated, and how it's like passed
  442. 12:05around is like super super important. Um
  443. 12:07and it obviously relates heavily back to
  444. 12:09finance. I think it's just as important
  445. 12:11if not more important. And over the next
  446. 12:125 to 10 years
  447. 12:17Crush it.
  448. 12:29Mhm.
  449. 12:45Especially if you're coming from CT cuz
  450. 12:46you're so used to things happening so
  451. 12:48quickly and like a tweet could [ __ ]
  452. 12:50you know, 2X and [ __ ] Yeah, yeah, yeah,
  453. 12:52yeah.
  454. 13:00Yeah.
  455. 13:18It's It's It's crazy, bro. It's fire.
  456. 13:25thing and I was like, oh, this dude gets
  457. 13:26it.
  458. 13:27>> Everybody watching right now, that's
  459. 13:28your homework from now until the next
  460. 13:30episode. Everyone go read that. Go read
  461. 13:32situational awareness.
  462. 13:33>> What do you What do you think on like
  463. 13:34the AI versus crypto conversation that
  464. 13:37that we've been having back and forth
  465. 13:38cuz like I I I mean I pretty apparently
  466. 13:40see that like there's so many
  467. 13:42opportunities right now with like the AI
  468. 13:44stocks in different parts of the stack.
  469. 13:46Um but I I still obviously still love
  470. 13:49crypto, still spend time on crypto. How
  471. 13:50do you like splitting your time between
  472. 13:52both or like what's your your thoughts
  473. 13:53on that?
  474. 13:54>> I mean bro, so with Hyperliquid you're
  475. 13:55kind of always watching crypto, right?
  476. 13:58Like I caught the Telegram trade. I was
  477. 14:00really happy about that because Pavel
  478. 14:01Durov was like, we're going to make this
  479. 14:03the official Telegram coin and I'm like
  480. 14:05>> Yep.
  481. 14:06>> it's the one of the most used apps in
  482. 14:07the world. This is going to go up. But
  483. 14:09then it like it still makes me go into
  484. 14:10the layers. I'm like, okay, well they
  485. 14:11have inflation and unlocks happening all
  486. 14:13summer. It's not going to go back to
  487. 14:14all-time high, but it'll probably go 50%
  488. 14:16of that, right?
  489. 14:17>> Yeah.
  490. 14:17>> So there's still pockets that I look at.
  491. 14:19The Zcash trade, I'm like
  492. 14:21very tough to figure out because I'm
  493. 14:23like, yeah, I get the quantum and it's
  494. 14:24quantum proof, it's privacy. And I've
  495. 14:27made some money on it, but I have never
  496. 14:28held it long enough.
  497. 14:29>> Yeah.
  498. 14:30>> Uh but with like Hip 3 I'm like, oh, I
  499. 14:31can trade earnings on a crypto product.
  500. 14:35I should also just buy hype with every
  501. 14:37profit I make
  502. 14:37>> Yeah.
  503. 14:38>> [laughter]
  504. 14:38>> Like bro, have to.
  505. 14:39>> Like I'm using this product and I don't
  506. 14:41have to buy calls and I don't get
  507. 14:42crushed by the Greeks. And for those
  508. 14:43that are unfamiliar with the Greeks,
  509. 14:44it's the math that goes into options.
  510. 14:47>> I feel like that's almost tried and true
  511. 14:48and again this is like my normie brain,
  512. 14:50but like you just buy what you use. You
  513. 14:52buy what you like.
  514. 14:52>> 100%.
  515. 14:53>> Yeah. Yeah.
  516. 14:54>> I use Telegram every day, why would I
  517. 14:56not buy Ton? I use Hyperliquid every
  518. 14:58day, why would I not buy Hype? And I'm
  519. 14:59like, okay, yeah, those are pretty
  520. 15:00straightforward trades to me. And then
  521. 15:02like you can obviously go I've never
  522. 15:03even heard of Inno data until today and
  523. 15:05it just worked out.
  524. 15:06>> How did you find that?
  525. 15:08>> Bro, so I literally [laughter] was doing
  526. 15:09like research last night on the Russell
  527. 15:112000 and profitable AI companies that
  528. 15:13make up the Russell 2000. For those
  529. 15:15unfamiliar with Russell 2000, it's the
  530. 15:16low cap index, similar to the S&P but
  531. 15:19low caps. So it's like lower market
  532. 15:21caps, it's not Google, Amazon, etc. It's
  533. 15:23like very low caps. And I think the
  534. 15:25number's like 70% of the companies in
  535. 15:27the Russell 2000 basically go bankrupt
  536. 15:28every year, and they just backfill it.
  537. 15:30>> [laughter]
  538. 15:30>> So, it's like it's crazy. But, the ones
  539. 15:32that make it out send, like send hard.
  540. 15:35Oh, okay. So, I was going down and I was
  541. 15:38actually using AI to do a bunch of the
  542. 15:39research on it cuz it'll research faster
  543. 15:41and find better context for me, and it
  544. 15:43sourced this. And it was like they do
  545. 15:44data labeling, and last quarter they
  546. 15:46said that they were signing major
  547. 15:47contracts in Q4 for next year. So, I was
  548. 15:50like, "Okay, if they do have major
  549. 15:51contracts, this thing should absolutely
  550. 15:54pump."
  551. 15:54>> Real.
  552. 15:55>> And sure enough,
  553. 15:56it
  554. 15:56>> That's legendary, bro.
  555. 15:58>> I thought it would go up like 50, it
  556. 16:00tapped 60, and I'm like, "Okay, yeah,
  557. 16:02these 50s these 50 calls I have are it's
  558. 16:04going to be nuts." And already people
  559. 16:06were hitting me up like, "Dude, great
  560. 16:07call. You're the [ __ ] man. Like, we
  561. 16:09appreciate you." And I'm like, "Yeah,
  562. 16:11just this one just worked out." But,
  563. 16:12like there's a bunch of other stuff that
  564. 16:14we've done really, really well on in the
  565. 16:15AI stuff, like Ion was one I've been
  566. 16:17really long on, and they just signed a
  567. 16:18deal for a uh letter of intent from
  568. 16:20Nvidia to buy shares at $70 for 2.2
  569. 16:23billion worth of shares.
  570. 16:24>> Yep.
  571. 16:24>> So, I'm like, "Okay, this makes sense."
  572. 16:25Like, data center play, infra play, it's
  573. 16:28similar to Bloom Energy, but just
  574. 16:29adjacent to it. So, I'm like, "Okay,
  575. 16:31>> Even hearing you talk about this right
  576. 16:33now and and and Z, oftentimes when you
  577. 16:35start getting into like your thesis
  578. 16:36around [ __ ] and your thoughts on
  579. 16:37markets, it's very, very clear that you
  580. 16:39guys spend a lot of [ __ ] time doing
  581. 16:41this. You guys definitely know what
  582. 16:42you're talking about. For the average
  583. 16:43viewer at home, somebody who's closer to
  584. 16:45my side of the spectrum, somebody who
  585. 16:47has, you know, a [ __ ] full-time job
  586. 16:48or goes to school, or
  587. 16:50um can't spend eight hours a day on
  588. 16:52this, maybe they can spend 30 minutes to
  589. 16:53an hour a day, what do they do? Like
  590. 16:55like how do they how do they invest?
  591. 16:57>> It sounds like you buy ETFs, the basket
  592. 16:59[laughter] of it. So, there's one called
  593. 17:01DRAM, D R A M.
  594. 17:02>> The memory ETF.
  595. 17:04>> Memory ETF. And you're basically betting
  596. 17:06on Intel and these other memory
  597. 17:08producers, right? So, it's a bigger
  598. 17:10basket, but you don't have to do all
  599. 17:12this research on individual tickers.
  600. 17:14Look for ETFs on topics that are
  601. 17:15interesting. Like I found the DRIV
  602. 17:18probably 5 years ago when EV and
  603. 17:20electric vehicles are popping off and it
  604. 17:22was just a basket of electric vehicles.
  605. 17:23And I was like, oh, more people are
  606. 17:24going to drive electric vehicles over
  607. 17:26the next 10 years. Pretty
  608. 17:27straightforward bet where I can just bet
  609. 17:28on the industry versus tickers. So if
  610. 17:30you don't have a ton of time,
  611. 17:31>> How did that work out for you? How did
  612. 17:32that work out for you? How did that work
  613. 17:33out for you? How did that work out for
  614. 17:34you? How did that work
  615. 17:35>> Good. It did well. Yeah, it did it did
  616. 17:36very well. Went from like $16 to $40.
  617. 17:39And I was like, okay, yeah, this is
  618. 17:40great. But like your your returns are
  619. 17:42obviously capped, but size of return is
  620. 17:44indicative of how much time you can
  621. 17:46spend, right?
  622. 17:47So if you don't have a ton of time, you
  623. 17:48can find a ton of 2Xs, but I think
  624. 17:50they're going to come from these baskets
  625. 17:52where it's like you can bet on spaces
  626. 17:54and verticals.
  627. 17:55And just right now it's like, okay, I
  628. 17:57can find an AI ETF, I can find a memory
  629. 18:00ETF, I can find a mining ETF. And right
  630. 18:02there you have basically the big three
  631. 18:03for AI that can cover your bases and if
  632. 18:05AI keeps going parabolic, you're good.
  633. 18:08And when you look at memory and mining,
  634. 18:11if quantum becomes a huge trend in the
  635. 18:12next 10 years, those will also go up
  636. 18:14because of it. So it's like, yeah, you
  637. 18:15kind of have this this adjacent trade to
  638. 18:17the two.
  639. 18:18>> It's good advice. How how much are you
  640. 18:20using AI these days?
  641. 18:21>> I use it every day.
  642. 18:22>> Yeah, how with everything that you do?
  643. 18:24>> Everything. So like
  644. 18:26every morning I wake up, I have a prompt
  645. 18:29that sends it to me at like 7:30 of
  646. 18:31everything I missed overnight. Like it
  647. 18:32gives me a document to read.
  648. 18:34>> The core of the heartbeat, the
  649. 18:35heartbeat, yeah.
  650. 18:36>> Yeah, my heartbeat gives it to me. And
  651. 18:37then at 8:45 it gives me like a show
  652. 18:39prep document of the things to talk
  653. 18:41about that are relevant over the last 24
  654. 18:42hours. So it's like a producer
  655. 18:44basically.
  656. 18:45>> Sounds like you are quickly getting much
  657. 18:46much better at this. It sounds like
  658. 18:47you're very very good at it. Yeah, I'm
  659. 18:49just I'm just curious how how much you
  660. 18:51would attribute that to like your
  661. 18:53relationship with AI and that tool that
  662. 18:55you use. Yeah, yeah, yeah. See? Chat.
  663. 18:57>> Like the more AI you use, the faster you
  664. 18:59can find stuff. The the Innovator Trade
  665. 19:01was sourced by AI. Like 100% sourced by
  666. 19:04AI.
  667. 19:04>> Yeah. [clears throat]
  668. 19:05>> And it just made me and I just started
  669. 19:06asking AI questions or ask the AI
  670. 19:08questions about it. And it you don't
  671. 19:09have to do a lot of the leg work to get
  672. 19:11the information.
  673. 19:12Like dude, I don't use Google anymore. I
  674. 19:13have I have Google Assistant on my
  675. 19:15phone.
  676. 19:15>> [laughter]
  677. 19:15>> Like I just ask that the question.
  678. 19:17There's not 60 ads and there's not a
  679. 19:19bunch of [ __ ] that's forced
  680. 19:20>> you're obviously a natural first adopter
  681. 19:22of tech like this, a tool like this cuz
  682. 19:24you're in finance, you're in crypto,
  683. 19:25you're chronically online, this, that.
  684. 19:27But like everybody at home should be
  685. 19:30kind of working in the same working
  686. 19:32along the same lines, whether you
  687. 19:33[ __ ] own a gym or you're a student or
  688. 19:36whatever. Like Yeah, hours and hours and
  689. 19:38hours on that. That's interesting. Um
  690. 19:42[ __ ] man.
  691. 19:43>> Yeah, even for even for people who like
  692. 19:44have no idea, like if if you started
  693. 19:47from zero with the AI trade, if you have
  694. 19:49ChatGPT or Claude, you can like get
  695. 19:51there in a relatively fast amount of
  696. 19:53time on understanding everything. Like
  697. 19:55you were saying Banksy said like, what
  698. 19:56would you do if you don't have 8 hours a
  699. 19:58day? Even if you have like an hour after
  700. 20:00work, like a couple hours on the
  701. 20:02weekend, it's like if you know
  702. 20:04>> minutes on the toilet at your job. Ask
  703. 20:06>> [laughter]
  704. 20:06>> it a question. Like it'll answer before
  705. 20:09you're done, I promise you.
  706. 20:10>> Yeah. And like what I what I've been
  707. 20:12doing I think that's been helping a lot
  708. 20:13is like you can actually ask it how to
  709. 20:15ask better questions, which is a crazy
  710. 20:17recursive loop that's going on. But like
  711. 20:19if you don't know exactly what questions
  712. 20:21to ask about a certain topic or a
  713. 20:22certain field, you can be
  714. 20:24[clears throat] like, okay, what's a
  715. 20:25good prompt for this? Or like how what
  716. 20:27do I I want to know more about this. I
  717. 20:29know this. Give me some like give me a a
  718. 20:31better question to ask an LLM that I
  719. 20:34should post. And it literally will give
  720. 20:36you something to ask and then you can
  721. 20:37use that and it'll give you more
  722. 20:38information. And then on that
  723. 20:39information you can be like, I want to
  724. 20:41get more information on this specific
  725. 20:43part. Like you can just keep recursively
  726. 20:44asking it questions. Um and if you're
  727. 20:47really curious and interested in like
  728. 20:48what you're trying to learn, you will
  729. 20:49figure it out pretty quickly. I think
  730. 20:51it's it's pretty crazy. Um how fast it
  731. 20:53accelerates.
  732. 20:54>> What are you using, Easy? What's your
  733. 20:55stack? Like what what
  734. 20:56>> Uh so I'm between Claude and ChatGPT.
  735. 20:59Like I use open Claude, but I have it
  736. 21:01fall back to ChatGPT.
  737. 21:04>> Yeah, I use Claude as well. Same exact I
  738. 21:05think it's the best setup. Yeah, it's
  739. 21:07the best.
  740. 21:08>> And it goes I I kind of go back and
  741. 21:09forth on the two because they're both
  742. 21:10competing for the better model and
  743. 21:12that's only going to keep happening. I
  744. 21:13saw the Elon news where they're like
  745. 21:15he's basically partnering with Anthropic
  746. 21:17and it's so clear he's partnering with
  747. 21:18Anthropic to kill Open AI.
  748. 21:20>> right? [laughter]
  749. 21:21>> I'm like okay,
  750. 21:22it's clear what you're doing.
  751. 21:23>> He's such a sicko. He's such a sicko.
  752. 21:25>> Yeah, absolute mad man. Dude's calling
  753. 21:27him
  754. 21:28yeah, Sam or [clears throat] yeah, Sam.
  755. 21:29>> it deliver you How did it deliver you
  756. 21:30this information in the morning? You
  757. 21:32said it gives you stuff 7:00 a.m. What
  758. 21:33does it look like?
  759. 21:34>> It's a text file with hyper
  760. 21:37>> it You should ask it to make you like a
  761. 21:38slideshow, like a deck. I have every
  762. 21:41morning every morning it delivers me a
  763. 21:42morning brief of like [ __ ] that I missed
  764. 21:44in the night or things that I have ahead
  765. 21:46of my day like it's obviously looped
  766. 21:47into all of my scheduling. I actually
  767. 21:49have a I feel like a a unique
  768. 21:51relationship with AI and and a big
  769. 21:53reason why I like really found myself
  770. 21:55falling down the rabbit hole is because
  771. 21:57a question that I'll ask these models um
  772. 21:59when I first discovered Claude one of my
  773. 22:02first questions is like hey, I'm Faze
  774. 22:03Banks like cuz there's a ton of
  775. 22:05information of me on the internet. I'm
  776. 22:06Faze Banks please scrape as much
  777. 22:08information as you possibly can on me
  778. 22:10and then ask me questions to try to
  779. 22:11better understand me and maybe what the
  780. 22:13internet maybe is missing. And it just
  781. 22:15gave me a very human response and like
  782. 22:16Claude
  783. 22:18blew my [ __ ] mind with how it
  784. 22:19responded and went back and forth with
  785. 22:20me on that and I just took the deep pill
  786. 22:22and like that's when Open Claude was
  787. 22:23popping off. So I set it all up and now
  788. 22:26like I'm kind of obsessed with it just
  789. 22:28like being very honest with me and like
  790. 22:30catching blind spots in my own personal
  791. 22:31life or professional life. I obviously I
  792. 22:33record every [ __ ] meeting that I do
  793. 22:35with my legal finance as it relates to
  794. 22:38everything that I'm I'm invested in or a
  795. 22:40part of my my day-to-day life, my
  796. 22:42workout routine, what I'm eating every
  797. 22:44day.
  798. 22:45I'm trying to give it as much
  799. 22:46information about me as possible. I I
  800. 22:48literally shared my entire I've been
  801. 22:50journaling every day twice a day for the
  802. 22:52last year and a half of my life and I
  803. 22:53took pictures of each page and gave it
  804. 22:55to it. And I'm like I want you to
  805. 22:56understand me better than [ __ ] anyone
  806. 22:59possibly could and I want you to to
  807. 23:00unbiased. I don't want you to be a
  808. 23:01yes-man. Like you said, the recursive
  809. 23:02loop. Like don't be a [ __ ] yes man.
  810. 23:04Ask me better questions. And every day
  811. 23:06in the morning it asks me 10 questions
  812. 23:08and then at the night it asks me 10 10
  813. 23:09questions and it's building the skill of
  814. 23:11just understanding me and helping me
  815. 23:13become like an optimal human. I think
  816. 23:15that that opportunity is for anybody.
  817. 23:18Like anybody could go do that today and
  818. 23:21and build that relationship with AI in
  819. 23:23that regard even if you're [ __ ]
  820. 23:24jobless. You know what I mean? Like even
  821. 23:26if you don't have have something like in
  822. 23:28the way that we're kind of talking
  823. 23:29about. I don't know. It's it's really
  824. 23:31interesting. I think that the
  825. 23:33the way that everybody's using AI is
  826. 23:34obviously kind of just replacing Google
  827. 23:36with it. But I think there's just so
  828. 23:38much more there that you need to I think
  829. 23:39you said an hour, you said 15 minutes. I
  830. 23:41think I would go as far as to say I
  831. 23:43think that everybody especially if
  832. 23:44you're watching this
  833. 23:46it should be mandatory in your
  834. 23:47day-to-day like to carve out an hour a
  835. 23:49day where you really like learn this
  836. 23:50[ __ ]
  837. 23:51>> 100%
  838. 23:52I agree. Yeah. Yeah.
  839. 23:54>> I think it's spot on. I think it is it's
  840. 23:56like as much time as you want to put
  841. 23:57into it is what you get out of it which
  842. 23:58is like a nice part of it, too. It's
  843. 23:59like you figure out ways to ask it
  844. 24:01questions and to Z's point it's like you
  845. 24:04can have it start to ask you questions
  846. 24:05back which is such a fascinating concept
  847. 24:07cuz it's like okay
  848. 24:09I can get better and this thing can get
  849. 24:10better at understanding what I'm trying
  850. 24:11to achieve.
  851. 24:12>> And bro, it just catches everything. It
  852. 24:14sees the whole
  853. 24:15you.
  854. 24:16>> context it gets the better and better.
  855. 24:18Yeah.
  856. 24:18>> But it has all the context in real time
  857. 24:20and it notices everything in real time.
  858. 24:21Like that's another thing that I've gone
  859. 24:22like really deep on in my own head where
  860. 24:24like we're having this conversation
  861. 24:26right now and I'm focused on your guys'
  862. 24:28faces and your your reactions to what
  863. 24:29I'm saying. But there's a million things
  864. 24:31around me like the floor, what the floor
  865. 24:33looks like and what the temperature in
  866. 24:34the room is and everything. And when you
  867. 24:36when when when AI's seeing it and
  868. 24:37processing it's processing everything.
  869. 24:39Like a good example from my own life um
  870. 24:43I just recently moved into a new place
  871. 24:44and I like had I went out and bought a
  872. 24:45bunch of plants and I'm like taking
  873. 24:47pictures of each plant and I'm like what
  874. 24:48how do I take care of these? What's the
  875. 24:50watering schedule look like? I asked
  876. 24:52[ __ ] I asked ChatGPT and Claude
  877. 24:54everything, right? And it just like I
  878. 24:56was putting a book next to each plant to
  879. 24:58give it a size reference. And it's like,
  880. 24:59"Yo, I don't need that. Like, I'm I'm
  881. 25:01much smarter than than you think. Like,
  882. 25:02I I don't need the book. Thank you,
  883. 25:04though." But, it noticed that I was
  884. 25:05putting it as a size reference. I didn't
  885. 25:06add that context. It noticed that. And
  886. 25:08then, it caught like
  887. 25:10out of the corner of its eye, I have a
  888. 25:12mirror from this artist, his name's
  889. 25:13Drouot. And it's like this big giant
  890. 25:15iPod mirror. And it added a little a
  891. 25:18little bar at the end, and it was like,
  892. 25:19"By the way, that's a really [ __ ]
  893. 25:20cool mirror, that iPod mirror." And it's
  894. 25:21like it's like crazy ironic that it's
  895. 25:24Drouot, and we're talking about plants.
  896. 25:25It like caught that and made that
  897. 25:26connection. Where I would never do that,
  898. 25:28but it noticed that. I don't know. It's
  899. 25:29a It's a dumb story, but it's like these
  900. 25:31things happen all the
  901. 25:32>> it's fascinating, cuz it picks up on the
  902. 25:33nuances that you don't even think of.
  903. 25:35And it's like, okay, this is like kind
  904. 25:36of crazy that it's it's so contextually
  905. 25:38aware. Which is nuts.
  906. 25:40>> socially aware. Like, that's a very
  907. 25:41human That's something that your friend
  908. 25:43would say, and you're like, "Damn,
  909. 25:43you're smart. You're sharp. That was
  910. 25:45good."
  911. 25:45>> Yeah, I was listening to Raoul Pal
  912. 25:46today, and he's he's confident AGI will
  913. 25:48happen in the next five years. And I'm
  914. 25:50like, that's pretty nuts.
  915. 25:51>> But, Gary brought up when we reacted to
  916. 25:53a clip, he said [ __ ] he said we're
  917. 25:5580% of the way to AGI, and then yeah,
  918. 25:57the Leopold guy says [ __ ] 2027,
  919. 26:00right?
  920. 26:00>> Yep.
  921. 26:01>> Yeah.
  922. 26:02>> It's It's It's here. It's happening.
  923. 26:04>> I'm like, what the [ __ ] What is What is
  924. 26:06it going to look like in five years from
  925. 26:07now?
  926. 26:08>> Bro, it's night and day.
  927. 26:10>> brother. It's like [laughter] It's like
  928. 26:11the internet The internet created
  929. 26:14the possibility and opportunity for like
  930. 26:16things like social media to exist. We
  931. 26:18never could have You couldn't imagine
  932. 26:20that being a thing without first the
  933. 26:22internet being a thing. You couldn't
  934. 26:23conceive it. Nobody had the idea of this
  935. 26:24being a thing. Because, you know,
  936. 26:26one has to come before the other. It's
  937. 26:28like electricity made way for the
  938. 26:29internet. The internet made way for
  939. 26:31social media.
  940. 26:32Which made way for AI. And that's going
  941. 26:34to make way for some brand new thing
  942. 26:36that everybody participates in, that
  943. 26:37controls the way that we interact as
  944. 26:39people, that doesn't exist yet. We can't
  945. 26:42even fathom it yet. That's the [ __ ]
  946. 26:44craziest part. That's why like,
  947. 26:46obviously, like AI is going to take
  948. 26:47over. It's going to change everything.
  949. 26:48Yeah, like on the on the It's It's to
  950. 26:50disrupt markets. It's going to replace
  951. 26:51jobs, or whatever. But like, what's that
  952. 26:53next [ __ ] thing that every we're all
  953. 26:56glued to our phones, we all have this
  954. 26:57other life on our phone, and it's
  955. 26:59Instagram, and it's Twitter, and it's
  956. 27:00this, it's that. What's that? What's
  957. 27:02that going to What's going to follow AI,
  958. 27:04you know? It's
  959. 27:04>> It's tough to say, man. It's just going
  960. 27:06to be fascinating to see, and it's one
  961. 27:07of those things where it's like I think
  962. 27:08the metrics are crazy where it's like
  963. 27:10less than 10% of people are using AI
  964. 27:12today. So, it's like
  965. 27:14>> be true. That's true?
  966. 27:16>> No, yeah, it's true. Bro, I think I have
  967. 27:18the [ __ ] um Let me see if I can pull
  968. 27:20it up.
  969. 27:21>> man. It's the Luddites. It's the people
  970. 27:22who said we don't need the internet, or
  971. 27:23[ __ ] the internet, or it's
  972. 27:24>> And it's also what There's 8 billion
  973. 27:26people, so 10% is like that's still
  974. 27:28pretty substantial number, but it's like
  975. 27:30I think in the grand scheme of things, I
  976. 27:32bet those numbers are skewed, obviously.
  977. 27:34Like in the US, I'm sure that number is
  978. 27:35much greater. In Europe, I'm sure that
  979. 27:36number is much greater. But then like
  980. 27:38there's obviously countries where it's
  981. 27:39much lower.
  982. 27:40>> had I actually had Claude build me this
  983. 27:42like pyramid like pie chart of like how
  984. 27:45many people use AI as much as X, Y, and
  985. 27:47Z, and like what the It's obviously an
  986. 27:48overwhelming majority of people that do
  987. 27:50use AI, use it on very surface level.
  988. 27:53How do I [ __ ] bake banana bread? How
  989. 27:55do I change my tire? And what's the UV
  990. 27:57out in Beverly Hills? I want to go for a
  991. 27:58walk.
  992. 27:59>> What are some nice restaurants near me?
  993. 28:00Or something like that.
  994. 28:01>> the closest coffee shop?
  995. 28:02>> Yeah.
  996. 28:03>> Yes, I I found the actual chart. This is
  997. 28:05the chart. It's like these dots. Each
  998. 28:07Each dot is 3 million people, and then
  999. 28:09all of the gray dots are like never used
  1000. 28:12AI. All the green dots are like using
  1001. 28:14the free version, and then yellow is
  1002. 28:16paid for $20 a month, and then red is
  1003. 28:18using the coding. And this is like
  1004. 28:20everybody. [laughter]
  1005. 28:21So, it's deliberate.
  1006. 28:23>> everyday. I mean, like we just started
  1007. 28:26and you guys are talking about the
  1008. 28:26clipping side of things, and like we
  1009. 28:28just built an in-house clipping
  1010. 28:29infrastructure that I built in like 48
  1011. 28:31hours, because like Z, I have a software
  1012. 28:33development background. So, a lot of
  1013. 28:34people don't even know that, but it's
  1014. 28:35like I've got a software development
  1015. 28:37background, which this is only amplified
  1016. 28:39my ability to go and spin stuff up. Like
  1017. 28:41my GitHub's never been so active, and
  1018. 28:42it's like oh, I just have an idea, I can
  1019. 28:43just go make it in like a few hours.
  1020. 28:45With like level of depth that I could
  1021. 28:47have never made in five years.
  1022. 28:49>> It's crazy, bro. It's like people always
  1023. 28:50ask how do I get to be like the top 10%?
  1024. 28:52How do I get to be the top 5%? You just
  1025. 28:55look at Look at the chart. It's like
  1026. 28:56literally right now you have the
  1027. 28:57opportunity to do something that a lot
  1028. 28:59of people are not doing and improve
  1029. 29:01yourself 10x. Like right now, today.
  1030. 29:03>> Literally.
  1031. 29:04>> Like this minute. Like it's crazy. It
  1032. 29:06might be the [laughter] best thing ever.
  1033. 29:07The people that are watching that are
  1034. 29:09currently unemployed, that might be the
  1035. 29:10[ __ ] best thing that could have ever
  1036. 29:12happened for you because you can quite
  1037. 29:13literally commit all of your time
  1038. 29:15>> Bro, yeah. [laughter]
  1039. 29:16>> Literally. As you should.
  1040. 29:17>> The window The window of time and
  1041. 29:19opportunity is currently shrinking. Like
  1042. 29:21Like you said, five Whether it's five
  1043. 29:22years out or one year out, it's not We
  1044. 29:24don't have a ton of time,
  1045. 29:25>> Well, I also got a crazy thesis that AI
  1046. 29:27is going to become like a a rich
  1047. 29:29person's game at some point.
  1048. 29:31>> Let's hear it.
  1049. 29:32>> So, I cuz if you look at the data right
  1050. 29:34now, the amount of subsidized compute
  1051. 29:36that these companies are giving the
  1052. 29:37average user is like through the roof.
  1053. 29:39So, for the average Claude user, every
  1054. 29:41$200 sign-up is spending upwards of
  1055. 29:43$20,000 per month on compute. The
  1056. 29:46average $20 user is spending 2,000. So,
  1057. 29:48when you start to break that down, it's
  1058. 29:49like you're going to reach a point where
  1059. 29:51you can't subsidize as much anymore
  1060. 29:53because these companies have to be more
  1061. 29:54profitable. So, whether it's ChatGPT
  1062. 29:56going ads or Claude removing Claude code
  1063. 29:58from the $20 subscription, they
  1064. 30:00ultimately have to figure out a way to
  1065. 30:02make these revenue positive, right?
  1066. 30:04>> Mhm.
  1067. 30:04>> So, that's like the main thing I think
  1068. 30:05about is like at some point, the best
  1069. 30:07models are only going to be able to be
  1070. 30:09accessed by the people with the most
  1071. 30:10money. And that's like you even look at
  1072. 30:12this Mythos model, right? Like the
  1073. 30:14Claude
  1074. 30:15>> Mythos that's got everyone scared?
  1075. 30:16>> Yep.
  1076. 30:16>> That thing is the thing where it's like
  1077. 30:18people have access to it, we don't, but
  1078. 30:20there's people with money who do.
  1079. 30:22>> Yeah, I was going to say the exact same
  1080. 30:23thing. It's already happening now with
  1081. 30:24the the Mythos model that that Claude
  1082. 30:26has. I agree. It's It's like I think the
  1083. 30:28one
  1084. 30:29like optimistic part of it is how much
  1085. 30:32cheaper each model is getting like as as
  1086. 30:34time goes on. Like right now, the cost
  1087. 30:37to use the best model in 2022 or
  1088. 30:39whatever it was is like way way way way
  1089. 30:40lower now than it was back then. So,
  1090. 30:42that's the good thing, but I do think
  1091. 30:43it's going to be like there's cer- only
  1092. 30:46certain people and certain corporations
  1093. 30:47that can use the best models. I 100%
  1094. 30:49agree with that. It's 100% true.
  1095. 30:51>> Easy, you saw us talk about this. The CL
  1096. 30:53have nots
  1097. 30:54>> Yeah.
  1098. 30:55>> have
  1099. 30:58>> It's like everybody who owns owns all
  1100. 31:00the [ __ ] compute and the AI is just
  1101. 31:02it's it's a rich man's game. Yeah,
  1102. 31:04that's
  1103. 31:04>> And it's only going to get worse. Like
  1104. 31:06that's the reality. Like the best access
  1105. 31:07to this stuff. So, it's like if you can
  1106. 31:08get access to it now, use it because
  1107. 31:10that's going to change.
  1108. 31:12>> Yeah,
  1109. 31:12>> [laughter]
  1110. 31:12>> for sure.
  1111. 31:14>> Like
  1112. 31:14>> You can't tell me everyone's going to be
  1113. 31:15able to have this level of ac- For 200
  1114. 31:17bucks a month, it sounds like a lot, but
  1115. 31:18what you can achieve for $200 a month
  1116. 31:20significantly outweighs the cost.
  1117. 31:21>> People are struggling to invest in these
  1118. 31:23opportunities cuz they're not being made
  1119. 31:25public until, you know,
  1120. 31:27all the rich people get in. So, it's
  1121. 31:28already is
  1122. 31:30>> [clears throat]
  1123. 31:30>> pretty much turning into a rich man's
  1124. 31:31game.
  1125. 31:32>> Oh, absolutely. But, I even think like
  1126. 31:34going down that rabbit hole for like
  1127. 31:35investing in the best AI model, it's
  1128. 31:37like I don't need to invest in Claude or
  1129. 31:39OpenAI. I don't want to invest in them
  1130. 31:40at a trillion dollar market cap cuz like
  1131. 31:42I think equity top is when all these
  1132. 31:44companies IPO near the same time.
  1133. 31:46There's a race for these AI companies to
  1134. 31:48IPO. That's the current race that's
  1135. 31:50happening because there's not enough
  1136. 31:51capital in the market to sustain SpaceX
  1137. 31:53at a trillion, OpenAI at [laughter] a
  1138. 31:55trillion.
  1139. 31:56>> We saw that happen in cryp- We saw that
  1140. 31:57happen in crypto even when markets were
  1141. 31:59super bullish for a long time.
  1142. 32:00>> Coin- Coinbase's IPO was the top in
  1143. 32:02April [clears throat] 2021.
  1144. 32:03>> But, even like even even tokens like
  1145. 32:05getting in pre um
  1146. 32:07you know, like like pre-sale.
  1147. 32:09Like so many so many like coin launches
  1148. 32:12and project releases and stuff like
  1149. 32:13their all-time highs were um were
  1150. 32:16pre-sale.
  1151. 32:17>> Yeah.
  1152. 32:18>> Yeah. And that whole meta played out and
  1153. 32:19everything else. And I think the same
  1154. 32:21thing will happen with equities. Like
  1155. 32:22the PE ratios are so nuts right now. And
  1156. 32:26I'm just like, okay, there will be a top
  1157. 32:27at some point. And I mean the big
  1158. 32:30you The driving factor right now is like
  1159. 32:31midterms, too. Like you have midterm
  1160. 32:32elections. And for those unfamiliar with
  1161. 32:33like the way that the politics system
  1162. 32:35works, too, is you need a good economy
  1163. 32:37going into midterms, at least on the
  1164. 32:39market, for people to want to try to bet
  1165. 32:41the incumbent. So, like Republican House
  1166. 32:43and Senate is largely driven by
  1167. 32:46a good economy. So, like you want the
  1168. 32:48market to be all-time highs going into
  1169. 32:49midterms.
  1170. 32:52>> Yeah. Have you like with the I know you
  1171. 32:54did some stuff with the prediction
  1172. 32:56markets in that lane. Have you been
  1173. 32:58following like the the NBA playoffs or
  1174. 33:00any of that at all?
  1175. 33:01>> Of course, dude. Yeah, so I played I
  1176. 33:03hooped in college for a year.
  1177. 33:05>> Oh, really? Where where'd you play?
  1178. 33:07Really?
  1179. 33:08>> It was a small small It was a small D2
  1180. 33:10school. So, yeah. It's uh
  1181. 33:12>> Did you ever play with Fred?
  1182. 33:14>> Yeah, me and Fred played one-on-one. He
  1183. 33:15cooked me, though. I was pissed. I was
  1184. 33:16so out of
  1185. 33:17>> [laughter]
  1186. 33:18>> I was so out of shape from being
  1187. 33:20chronically online in '21, '22, and I I
  1188. 33:23was confident I could beat him. We
  1189. 33:24played, he cooked me. And I went on this
  1190. 33:26crazy weight loss journey right after
  1191. 33:29where I cut like 30 lb cuz I was like,
  1192. 33:31"Fuck this. I'm so out of shape." Got
  1193. 33:32back to dunking, all this stuff, and I'm
  1194. 33:34like, "Don't ever end up playing
  1195. 33:35together
  1196. 33:376 ft, 6'1".
  1197. 33:38>> And you can [ __ ] yam it?
  1198. 33:40>> Yeah.
  1199. 33:41>> Wow.
  1200. 33:41>> For real? [laughter]
  1201. 33:42>> Oh, [ __ ]
  1202. 33:42>> Oh, yeah.
  1203. 33:43>> That's that's fun.
  1204. 33:44>> I'll send you a video of it. I saw a
  1205. 33:45video
  1206. 33:46of me like even recently. I still I hoop
  1207. 33:48three, four times a week right now.
  1208. 33:49>> Yeah, we have we have we have runs
  1209. 33:50three, four times a week in LA if you're
  1210. 33:52ever in LA, seriously. Hit hit me.
  1211. 33:53>> 100% I'd love to play.
  1212. 33:54>> Luka came and played. Luka PudgeyPants.
  1213. 33:56>> That's my guy. I used to play with him
  1214. 33:57in Miami. Uh we played every single
  1215. 33:59Saturday, Sunday. We played
  1216. 34:00>> They're good runs. They're good runs.
  1217. 34:02>> That's my guy. So, that's funny. But,
  1218. 34:04yeah, so I've been watching I had a
  1219. 34:06position on the Timberwolves to win the
  1220. 34:08chip. So, when they beat the Nuggets, I
  1221. 34:09sold out of that cuz dude, it was like
  1222. 34:10sub-a-cent. But, the the prediction
  1223. 34:12market stuff, even the finance on
  1224. 34:14prediction markets are way more
  1225. 34:15interesting. You can trade up, down
  1226. 34:17daily markets for equities.
  1227. 34:19>> Yeah.
  1228. 34:19>> So, like today, I bought up on Nvidia
  1229. 34:22last night at 40 cents right after they
  1230. 34:24announced a deal, and they they closed
  1231. 34:26today plus 3%. It was like one of the
  1232. 34:28few green tickers. So, like you can find
  1233. 34:30these opportunities. It's almost like a
  1234. 34:31same-day option on prediction markets.
  1235. 34:33And there's decent enough liquidity that
  1236. 34:35you can make a few thousand a day
  1237. 34:36if you're good with equities where
  1238. 34:37they're so mispriced where I'm like, you
  1239. 34:40can watch the premarket, watch the open,
  1240. 34:42see what the directional bias is, and
  1241. 34:44take a swing on it. And I've been doing
  1242. 34:46fairly well with those. So it's fun to
  1243. 34:48find these opportunities in prediction
  1244. 34:49markets because your counterparty is
  1245. 34:50another person. So I'm like, that's way
  1246. 34:52more interesting versus options
  1247. 34:53contracts and shares. You're either
  1248. 34:55buying from a fund or selling to a fund.
  1249. 34:57I'm trading against another human being
  1250. 34:58who thinks Amazon's going to go down
  1251. 35:00today even if all the all the metrics
  1252. 35:03>> are through the roof.
  1253. 35:04>> Yeah, I was going to say like probably
  1254. 35:06trading the those certain prediction
  1255. 35:08markets is like a lot easier than
  1256. 35:09trading against the people who are
  1257. 35:11constructing these options cuz like the
  1258. 35:12people building the options, they don't
  1259. 35:14really lose, [laughter] bro.
  1260. 35:16>> They never lose.
  1261. 35:16>> They never lose.
  1262. 35:17>> You want the contract you win. It's like
  1263. 35:19the counterparty on a on a parlay. If
  1264. 35:21someone takes a parlay, that's why the
  1265. 35:22house That's why casinos crush cuz
  1266. 35:24parlays are so EV negative. On
  1267. 35:26prediction markets, I can go trade us
  1268. 35:27Like dude, I I play options on there all
  1269. 35:29the time cuz I don't have to buy or not
  1270. 35:31options, I play earnings cuz I don't
  1271. 35:32have to buy an options contract.
  1272. 35:33>> My dad was a bookie. My dad was a
  1273. 35:34small-time bookie out of Boston and I I
  1274. 35:37heard him on the phone constantly
  1275. 35:38collecting money from people talking
  1276. 35:39about this, talking about that. And
  1277. 35:41yeah, that's how he made all his money.
  1278. 35:42Parlays. He And he always taught us
  1279. 35:45cuz he was a [ __ ] degenerate gambler
  1280. 35:47himself, so he couldn't tell us not to
  1281. 35:48gamble, but he was like,
  1282. 35:49>> [laughter]
  1283. 35:50>> "Don't ever do parlay. Parlays are
  1284. 35:51sucker bets, and that's how I make
  1285. 35:52money, and that's how everyone in in
  1286. 35:54this industry makes money."
  1287. 35:55>> Bro, the Sixers
  1288. 35:56>> number one way.
  1289. 35:58>> Bro, the Sixers beat Boston in seven,
  1290. 35:59bro. And I would we're playing the
  1291. 36:01Knicks now.
  1292. 36:02>> Go go [ __ ] yourself, buddy.
  1293. 36:04>> [laughter]
  1294. 36:05>> What are we What are we trading or what
  1295. 36:07are we trading?
  1296. 36:07>> So Sixers right now, I think I'm going
  1297. 36:09to take them tomorrow. They
  1298. 36:11uh I think they're down two against the
  1299. 36:13Knicks.
  1300. 36:13>> points.
  1301. 36:14>> They're
  1302. 36:15uh favored. It's basically flat. I think
  1303. 36:18I'm going to take Sixers to win tomorrow
  1304. 36:19cuz we're We're down two. We can't lose
  1305. 36:20three in a row. That's crazy. It's
  1306. 36:21impossible.
  1307. 36:22>> Is is Embiid back?
  1308. 36:24>> I don't know if he's back. I know he was
  1309. 36:26hurt.
  1310. 36:26>> But OG went down. OG Anunoby went down
  1311. 36:28on the Knicks late late late in the game
  1312. 36:30last night. Uh I think a knee injury,
  1313. 36:32small tweak. They haven't announced if
  1314. 36:33he's injured or not, but I think that's
  1315. 36:35like a pretty solid because if he's out,
  1316. 36:37he was a big reason the Knicks came back
  1317. 36:39in the fourth last night.
  1318. 36:40>> I saw some clips talking about you
  1319. 36:41talking about Polymarket, trading on
  1320. 36:43Polymarket.
  1321. 36:44>> Yeah.
  1322. 36:44>> I mean doing doing pretty well there.
  1323. 36:46>> Yeah.
  1324. 36:46>> It's dude, Polymarket is fun, man. I
  1325. 36:48just The big thing for me is just that
  1326. 36:49it's the counterparty is the most
  1327. 36:51interesting part is who your your
  1328. 36:53opposite party is and who you're trading
  1329. 36:55against is another person. I know funds
  1330. 36:57are getting involved, but there's still
  1331. 36:58so many mispriced markets.
  1332. 37:00>> Yeah. Yeah.
  1333. 37:01>> And I'm like
  1334. 37:01>> Yeah.
  1335. 37:02>> this is
  1336. 37:03>> I mean Anthropic to flip BTC was at 20%
  1337. 37:05last week. It's at 50 now, which is much
  1338. 37:07more
  1339. 37:08>> Yeah.
  1340. 37:08>> you know, appropriate. I still think
  1341. 37:10he's [ __ ] slammed that, but 20%'s
  1342. 37:12that's ridiculous, obviously.
  1343. 37:13>> Yeah. Oh, yeah. It's pretty wild. I
  1344. 37:15mean, that's the thing is there's just
  1345. 37:16so many opportunities on there for any
  1346. 37:17market. Like dude, I know I have people
  1347. 37:19I know that are just like adamant they
  1348. 37:20trade Netflix top show of the week
  1349. 37:22markets because they're just obsessed.
  1350. 37:24>> It's just cool. It's just cool to be
  1351. 37:26able to trade what you know, right?
  1352. 37:27>> Is that a thing? I didn't even know it
  1353. 37:29was a thing.
  1354. 37:30>> The barrier to entry and and what
  1355. 37:31stopped a lot of people from like
  1356. 37:32investing their money into [ __ ] is just
  1357. 37:34a lack of like understanding or a lack
  1358. 37:37of interest in like traditional finance,
  1359. 37:38whatever. But if you're a [ __ ] person
  1360. 37:40who sits around and watches Netflix all
  1361. 37:42day, you probably know more than the
  1362. 37:43average bear about what the [ __ ] top
  1363. 37:45Netflix show is going to be. You might
  1364. 37:46have a little bit of alpha and you might
  1365. 37:48be better equipped to trade that market
  1366. 37:50and that's why Polymarket's
  1367. 37:51I feel like
  1368. 37:53a great product and and needs to exist.
  1369. 37:56>> Yeah.
  1370. 37:56>> There's just a market for everything, no
  1371. 37:57matter what you're interested in.
  1372. 37:59There's something that you can find an
  1373. 38:00opportunity on. There's people who crush
  1374. 38:02Spotify top like artist markets and it's
  1375. 38:05just finding the the the vertical you're
  1376. 38:07interested in and becoming obsessed with
  1377. 38:09it and you can make money on it, which I
  1378. 38:11think is awesome. Like it's just make
  1379. 38:12money online.
  1380. 38:13>> I see like rappers new albums, who's
  1381. 38:15going to be featured on it. If you're
  1382. 38:16really deep in that and you're in the
  1383. 38:17Discords and [ __ ] and you find out two
  1384. 38:19guys are [ __ ] arguing with each other
  1385. 38:20and beefing with each other before
  1386. 38:21everybody else, but they're expected to
  1387. 38:23be on the album, but you know they're
  1388. 38:24not going to be. It's an opportunity to
  1389. 38:26somebody who's in like the a niche
  1390. 38:27community. There's just all types of
  1391. 38:29opportunities like this. It's likely
  1392. 38:30that no matter what kind of niche
  1393. 38:32interest you have or community you're a
  1394. 38:33part of, there's an opportunity to trade
  1395. 38:35against that information and
  1396. 38:37understanding that um somewhere on
  1397. 38:39Polymarket.
  1398. 38:40So we got Sixers we got Sixers winning
  1399. 38:42tomorrow. What else what else is going
  1400. 38:43on in the in the playoffs?
  1401. 38:44>> Um I know I'm actually Is uh is Ant back
  1402. 38:48on the Thunder Timberwolves?
  1403. 38:50>> Ooh, I don't know.
  1404. 38:51>> Is Ant back? If Ant's back, I low-key I
  1405. 38:53don't know how
  1406. 38:55um
  1407. 38:56>> Yeah, he is.
  1408. 38:57>> He's back? He's back? Yeah, I low-key
  1409. 38:58wanted to take them.
  1410. 39:00I low-key wanted to take them to beat
  1411. 39:01the Spurs. I know that's a super tough
  1412. 39:03match-up for them, but I like the
  1413. 39:04Timberwolves a lot though. I like I like
  1414. 39:06Ant a lot. I like other dude Jaden
  1415. 39:08McDaniels. I just really like the team.
  1416. 39:10I think they're they're uh
  1417. 39:11>> The team's fun.
  1418. 39:12>> They're fun.
  1419. 39:12>> a lot of fun. I mean it's They got a lot
  1420. 39:14of the right pieces with Randall.
  1421. 39:16Obviously it's like their their team's
  1422. 39:17good and they match up really well. They
  1423. 39:19obviously do The tough part is Victor
  1424. 39:20Wembanyama is a beast, but if you want
  1425. 39:22The The thing I'm trading tomorrow is
  1426. 39:24the Wendy's earnings. I think Wendy's
  1427. 39:25beats tomorrow on Polymarket.
  1428. 39:27>> Wendy's?
  1429. 39:28>> Yeah, the fast food.
  1430. 39:30>> Wendy's nuts are in your mouth.
  1431. 39:32>> [laughter]
  1432. 39:33>> I was waiting for it. I was waiting for
  1433. 39:35it. But I think they beat earnings
  1434. 39:36tomorrow. It's at like 80%, but
  1435. 39:38McDonald's absolutely shattered, so I'm
  1436. 39:40like yeah, they'll tail.
  1437. 39:41>> Yeah, we we've been talking a lot about
  1438. 39:42like the the AI trade and tech and all
  1439. 39:45these different things, but I feel like
  1440. 39:46what's kind of under the radar right now
  1441. 39:48is like a lot of the different consumer
  1442. 39:50consumer plays. Like we haven't really
  1443. 39:51talked as much about them. I'm I'm
  1444. 39:53curious like I don't know if you have
  1445. 39:54any thoughts on on those sectors. Me and
  1446. 39:56Banks have kind of talked a little bit
  1447. 39:57about how we think like the IRL
  1448. 40:00relationships are going to start to
  1449. 40:02change and people are going to start
  1450. 40:03investing in interesting things there. I
  1451. 40:06just feel like the pendulum has swung so
  1452. 40:07far to the online communities and like a
  1453. 40:10lot of people are feeling that um
  1454. 40:13like lack of companionship and like lack
  1455. 40:15of friendship in a lot of different
  1456. 40:16ways.
  1457. 40:17And we know that like something new is
  1458. 40:18going to pop up or something more
  1459. 40:20interesting is going to pop up like
  1460. 40:21around how people come together in in
  1461. 40:23different ways.
  1462. 40:24>> Gary V had an interesting comment on it.
  1463. 40:26I think he was either on TBPN or
  1464. 40:27monitoring the situation and he
  1465. 40:29commented on it. It was like he wanted
  1466. 40:30to make a restaurant or
  1467. 40:32uh like an experience where you go in
  1468. 40:34hand your phone over and sit at a
  1469. 40:35communal table.
  1470. 40:36>> I love it. I love it. I've talked about
  1471. 40:37I've talked about events um and like
  1472. 40:39music festivals like unplugged where you
  1473. 40:42go and you turn in your phone and
  1474. 40:43there's no phones allowed. There's no
  1475. 40:45>> I don't know why they haven't done that.
  1476. 40:46Like comedy shows make you they're
  1477. 40:47adamant no phone. Like hard no phone at
  1478. 40:49comedy shows.
  1479. 40:50>> And by the way, comedy shows to this day
  1480. 40:52I every time I go to a comedy show I
  1481. 40:53tell myself I need to do this bi-weekly.
  1482. 40:55It's like when you get a massage, you're
  1483. 40:56like, why the [ __ ] don't I do this more
  1484. 40:57often?
  1485. 40:58>> I just saw Shane Gillis in Chicago and
  1486. 40:59it was awesome.
  1487. 41:00>> There's nothing better. There's nothing
  1488. 41:02better. It's one of the absolute best
  1489. 41:03real-life experiences uh that has held
  1490. 41:06>> It's not everyone holding their phone up
  1491. 41:07like at a concert or a festival.
  1492. 41:08Everyone's got their phone up and you
  1493. 41:10see the lights from the phones more than
  1494. 41:11anything else. There's not a phone up in
  1495. 41:12that entire place.
  1496. 41:13>> And these [ __ ] are real-life
  1497. 41:14funny. There's something about stand-up
  1498. 41:15that really hits different when you're
  1499. 41:16in person. It's it's it's a good time.
  1500. 41:18>> Yeah.
  1501. 41:19>> Um
  1502. 41:20Yeah, no, I love that. I think I think I
  1503. 41:22think along the same lines, I don't
  1504. 41:23know, 80% of all venture capital has
  1505. 41:25gone straight into AI over the last
  1506. 41:27year, I think. It's [ __ ] insane.
  1507. 41:30There has to be some sort of opportunity
  1508. 41:32on the other end of the spectrum.
  1509. 41:33Um
  1510. 41:40Easy, you said you hoop.
  1511. 41:42>> Yeah.
  1512. 41:43>> I need to show you this clip. I have to.
  1513. 41:46Because we hooped last night and there
  1514. 41:48was um
  1515. 41:51there was something that happened and
  1516. 41:52there was stirred up it stirred up it
  1517. 41:53stirred up a ton of controversy.
  1518. 41:55>> Okay.
  1519. 41:55>> [laughter]
  1520. 41:57>> between me and the uh
  1521. 41:59the other guys.
  1522. 42:02>> I think I know he wants to he told me
  1523. 42:03watch this.
  1524. 42:06>> You heard him. He called it a travel.
  1525. 42:08>> No, pivot foot's down.
  1526. 42:09>> Thank you, brother. Thank
  1527. 42:10>> Pivot foot down back
  1528. 42:11>> How the [ __ ] is that a [laughter]
  1529. 42:12travel? Are you crazy?
  1530. 42:14>> It's a travel, bro. You switched your
  1531. 42:15pivot foot.
  1532. 42:16>> No, I did not.
  1533. 42:17>> You switched
  1534. 42:18>> [laughter]
  1535. 42:19>> You switched your pivot
  1536. 42:20>> No, I did not.
  1537. 42:21>> Go go slow
  1538. 42:23go slow mo go slow mo.
  1539. 42:26>> This you could debate this first one is
  1540. 42:28a travel because my my foot did did
  1541. 42:30>> Back foot comes up.
  1542. 42:31>> Hey, I'm not talking about that though.
  1543. 42:32I'm not talking about that.
  1544. 42:33>> Yeah, I know you're not talking
  1545. 42:33[laughter] about
  1546. 42:34And that's not what I got called for
  1547. 42:35traveling. So we're going to focus and
  1548. 42:37and and pay attention to what I
  1549. 42:39[laughter] actually got called for.
  1550. 42:40How do I get rid of this [ __ ] bar?
  1551. 42:42Okay.
  1552. 42:43We're going to go frame by frame.
  1553. 42:45>> [laughter]
  1554. 42:45>> Okay?
  1555. 42:48Ready?
  1556. 42:49Okay, pick it up.
  1557. 42:51Left
  1558. 42:51>> This left foot is
  1559. 42:52>> Left is the pivot. Left is the pivot.
  1560. 42:54>> Left is the pivot. You're not lifting
  1561. 42:55>> And then
  1562. 42:55>> You do not lift it.
  1563. 42:56>> You switched.
  1564. 42:57>> It's still planted.
  1565. 42:58>> No, you switched.
  1566. 42:59>> [laughter]
  1567. 43:00>> You switched.
  1568. 43:02I told you.
  1569. 43:03It's a travel.
  1570. 43:07>> [snorts]
  1571. 43:07>> That's travel.
  1572. 43:08>> [laughter]
  1573. 43:08>> I'm sorry, brother. I had to.
  1574. 43:13>> [gasps]
  1575. 43:13>> Cuz
  1576. 43:14>> It's crazy. I I got [laughter] it I got
  1577. 43:15it over on you originally initially.
  1578. 43:18>> You [clears throat] did.
  1579. 43:18>> People swiped up. I posted it on
  1580. 43:20Instagram and so many people swiped
  1581. 43:21[laughter] up. They're like, "Nah, bro.
  1582. 43:22That's pivot. That's not a travel." This
  1583. 43:24and that.
  1584. 43:25>> I watched it I watched it a few times.
  1585. 43:28>> I was going to ask Tristan about it.
  1586. 43:31>> [laughter]
  1587. 43:31>> That's so funny.
  1588. 43:33>> It was close, yo. It was close.
  1589. 43:36>> I swear to God I fought tooth and nail
  1590. 43:38against this being a travel up until
  1591. 43:40this moment. It was a travel.
  1592. 43:41>> [laughter]
  1593. 43:43>> I actually can't believe it.
  1594. 43:45Yeah, it might have been travel.
  1595. 43:47>> Yeah, it was. It was a travel.
  1596. 43:48>> That was a [ __ ] travel.
  1597. 43:49>> It was close though. Like I could I
  1598. 43:51could see how you argue it's not for
  1599. 43:53sure.
  1600. 43:53>> Yeah.
  1601. 43:54>> For sure.
  1602. 43:55Yes, now it was.
  1603. 43:58Great defense though.
  1604. 43:59>> It was close. It was close [laughter]
  1605. 44:00though. It was close.
  1606. 44:03>> It was close.
  1607. 44:04>> If I got If I got that other foot down
  1608. 44:05before I brought the ball up Like
  1609. 44:07>> Yeah, exactly. You didn't even need like
  1610. 44:09one more dribble.
  1611. 44:10>> You got four guys on you there.
  1612. 44:11>> I mean, him calling that travel though
  1613. 44:13is [ __ ] crazy. I was ready to fight
  1614. 44:14him over it. I was like, "Are you
  1615. 44:15[ __ ] [laughter] crazy? You check the
  1616. 44:16[ __ ] ball."
  1617. 44:17>> In pick up, that's that's a wild call
  1618. 44:19pick up.
  1619. 44:19>> It was insane. By [laughter] the way, by
  1620. 44:21the way, the kid recording it goes, "It
  1621. 44:22wasn't a travel. I have it. Come watch
  1622. 44:24it." And the kid who called it was like,
  1623. 44:25"Nah, [ __ ] that. Just check the ball."
  1624. 44:27He didn't even want to go watch it.
  1625. 44:28>> It was a close call. It was a close
  1626. 44:30call.
  1627. 44:30>> That is [snorts] [ __ ] funny, bro.
  1628. 44:32>> Are we wrapped on the Poly Market uh uh
  1629. 44:35basketball [ __ ] or you guys want to keep
  1630. 44:36going on the um
  1631. 44:38the playoffs?
  1632. 44:38>> Tomorrow.
  1633. 44:40>> Playoffs are over.
  1634. 44:40>> I think I think I think so.
  1635. 44:44Um
  1636. 44:45What else do we have anything today?
  1637. 44:47Like who's playing today?
  1638. 44:48Who's playing right now?
  1639. 44:49Is there anything live going on?
  1640. 44:51>> Yeah.
  1641. 44:53>> Uh Cavs-Pistons.
  1642. 44:55>> Cavs-Pistons?
  1643. 44:55>> Pistons up eight.
  1644. 44:56>> What Cavs-Pistons?
  1645. 44:57>> Pistons are up eight.
  1646. 45:00>> Let's see.
  1647. 45:03Cleveland-Pistons. Who's Who's Who's
  1648. 45:05nice for Cleveland right now? That's
  1649. 45:06[ __ ] um what's Donovan Mitchell?
  1650. 45:08>> Donovan Mitchell.
  1651. 45:09>> Yeah, Donovan Mitchell.
  1652. 45:11Detroit was Were they the one seed?
  1653. 45:13>> Yeah, they're the one seed.
  1654. 45:14>> They're the one seed.
  1655. 45:15>> crazy cuz Cade was hurt for like last 15
  1656. 45:16games.
  1657. 45:17>> And he's back now?
  1658. 45:19>> Yeah.
  1659. 45:20>> I think Detroit takes this, bro. I think
  1660. 45:21we might This is like This is a freebie.
  1661. 45:23>> They struggled with the Magic, which was
  1662. 45:24crazy, but the Magic were playing out of
  1663. 45:26their minds.
  1664. 45:28>> Yeah. I know. Yeah, that That was like
  1665. 45:30the eight the first time that they
  1666. 45:33like a while that they're they're
  1667. 45:34playing so well.
  1668. 45:35>> crazy.
  1669. 45:35>> Yeah. That's a weird match up though,
  1670. 45:37Pistons and the [ __ ] Magic. Like
  1671. 45:39that's that's [ __ ] weird.
  1672. 45:41>> Yeah, it's a tough match up, and they
  1673. 45:42don't see each other a lot during the
  1674. 45:43regular season.
  1675. 45:45>> Bro, I watch a football way more than I
  1676. 45:47watch basketball. Football I watch every
  1677. 45:49game. Basketball it's like when it comes
  1678. 45:50to the the playoffs,
  1679. 45:52I'll watch that, but like I don't really
  1680. 45:54watch a ton during the season.
  1681. 45:55>> Dude, I'm a sad Jets fan, so it's tough
  1682. 45:57to watch football, man.
  1683. 45:58>> Who do Who do y'all draft? That's That's
  1684. 46:00awful, by the way. I'm sorry.
  1685. 46:02>> Yeah, no, I got the name it jersey
  1686. 46:03literally right here.
  1687. 46:04>> Oh, [ __ ] That's hard.
  1688. 46:06>> Yeah, it's I don't even know who we
  1689. 46:08drafted, bro. I've been so like I watch
  1690. 46:10every game and I'm still just
  1691. 46:11disappointed. I'm just like, man, we are
  1692. 46:12terrible.
  1693. 46:14We'll see how it goes.
  1694. 46:15>> I thought when when you guys got Rogers,
  1695. 46:16I was like, okay, their defense was
  1696. 46:18decent for a little bit. They got
  1697. 46:19Rogers.
  1698. 46:20And you had a you had a good you had a
  1699. 46:22receiver, too. Is it Garrett? That was
  1700. 46:24decent.
  1701. 46:25Yeah, I was like, okay, that that might
  1702. 46:26be decent and then he got hurt like
  1703. 46:28immediately.
  1704. 46:29>> Yeah. It was [laughter] ugly, man. It
  1705. 46:31was ugly. It got ugly quick for us. It
  1706. 46:32usually does, so.
  1707. 46:34>> Yeah.
  1708. 46:34>> It is what it is. It is what it is.
  1709. 46:37>> I'm hyped for football this year, bro. I
  1710. 46:38think I think my Eagles are going to be
  1711. 46:39good.
  1712. 46:40>> I think so, too.
  1713. 46:42>> I think they're going to be good.
  1714. 46:47Yo, should we should we do the [ __ ]
  1715. 46:49the Omegle [ __ ] bro?
  1716. 46:51>> Sure. Are we through everything else?
  1717. 46:52We're we're good on everything else?
  1718. 46:54>> I think so. I think we hit.
  1719. 46:55>> We could do that.
  1720. 46:56>> I think we hit.
  1721. 46:56>> Yeah, [ __ ] it. Let's do it. Let me see
  1722. 46:58you.
  1723. 46:58>> Bro, you know Omegle is easy?
  1724. 47:00>> Uh that's just like video platform,
  1725. 47:02right?
  1726. 47:02>> We'll watch a clip. We'll watch a clip.
  1727. 47:04>> Not Omegle, bro. I used to damn, was it
  1728. 47:06that [ __ ] What was that [ __ ] called?
  1729. 47:07Omegle back in the day?
  1730. 47:09>> No, what's Omegle?
  1731. 47:10>> Bro, I used to be on Omegle. Omegle used
  1732. 47:12to be [ __ ] fun, actually, back way,
  1733. 47:14way, way back. That's a throwback. I
  1734. 47:16forgot that was even a thing.
  1735. 47:18>> Here, let's watch let's watch it. Let me
  1736. 47:20pull it up.
  1737. 47:22I'll watch it with you.
  1738. 47:23>> Oh, this is the Mog thing.
  1739. 47:26>> [laughter]
  1740. 47:27>> Why is he
  1741. 47:28I think they're going to kissy face. Set
  1742. 47:30the camera.
  1743. 47:31>> Cuz they're [ __ ] they're good at what
  1744. 47:33they do, man. Jason's a great really
  1745. 47:35good streamer.
  1746. 47:39It's like lagging.
  1747. 47:43>> [music]
  1748. 47:49[music]
  1749. 47:53>> Yo, yo, where is that? Dude is using AI.
  1750. 47:55He's using AI.
  1751. 47:57Yeah!
  1752. 47:58>> [screaming]
  1753. 47:59[music]
  1754. 48:01>> Yo, Jeff, what AI is he using?
  1755. 48:03>> X is the best. We need him on the show.
  1756. 48:05We need him on the show, for sure.
  1757. 48:07>> Your job. [laughter]
  1758. 48:07>> They're using AI. They're using AI.
  1759. 48:09>> We got them. We got them.
  1760. 48:10>> This is it.
  1761. 48:13Yeah!
  1762. 48:15>> They run it back instantly.
  1763. 48:26>> [music]
  1764. 48:32[music]
  1765. 48:35>> What the [ __ ] is X 22 doing?
  1766. 48:37>> You're out.
  1767. 48:38>> What is happening?
  1768. 48:39>> What did you
  1769. 48:40>> You're holding it up.
  1770. 48:42>> No, no, like what the [ __ ]
  1771. 48:43>> [laughter]
  1772. 48:45>> That's really funny.
  1773. 48:46>> What the [ __ ] bro?
  1774. 48:47>> So, do we do it? Is that how we're going
  1775. 48:48to wrap the show? We do that and then
  1776. 48:49wrap?
  1777. 48:49>> I think I think
  1778. 48:50>> You guys should do it You guys should do
  1779. 48:52it, too, for CT. You guys do it against
  1780. 48:53each other. I'll
  1781. 48:54>> You guys do it.
  1782. 48:55>> I'm going to do it myself on the
  1783. 48:56>> Me and Z will do it.
  1784. 48:56>> How the [ __ ] what It's what's It's
  1785. 48:59Omegle is the site, right?
  1786. 49:01>> Yeah, I'm going to I I think I just
  1787. 49:02>> Then we got to send I'm going to send
  1788. 49:04you the Hold on, I'm going to send it to
  1789. 49:05you, Easy.
  1790. 49:07>> All right.
  1791. 49:07>> Yeah, you guys do it first. I'm going to
  1792. 49:09take a piss, and then me and Z will wrap
  1793. 49:11it up on that.
  1794. 49:16Z, just share your screen when you're
  1795. 49:17ready to do it with him.
  1796. 49:19>> All right, let's see if I can.
  1797. 49:22This [ __ ] is so funny though. Like who
  1798. 49:23who made this, bro? This is the most
  1799. 49:25zoomer [ __ ]
  1800. 49:26>> ever
  1801. 49:27>> Oh, was it using AI?
  1802. 49:30Enter the arena.
  1803. 49:35>> One sec.
  1804. 49:38>> Blink it says blink eyes.
  1805. 49:41Okay. I think I think I'm locked in. Do
  1806. 49:43I need to lower this [ __ ]
  1807. 49:45mic?
  1808. 49:47>> All right, it says I'm checked.
  1809. 49:48>> 1v1 arena
  1810. 49:50Okay.
  1811. 49:53Uh
  1812. 49:55Oh, private room. Here we go.
  1813. 50:00>> Oh, wait. I think I went to the wrong
  1814. 50:02thing.
  1815. 50:07No, [laughter]
  1816. 50:08I was about to do a [ __ ] random with
  1817. 50:10somebody.
  1818. 50:10>> I just sent you the code. Join the
  1819. 50:11private room.
  1820. 50:12>> Okay, hold on.
  1821. 50:14Oh, wait.
  1822. 50:15Uh
  1823. 50:25Uh
  1824. 50:28Okay, I got it.
  1825. 50:30>> All right, let's see.
  1826. 50:41>> Oh, man. [laughter] Here we go. Bro, if
  1827. 50:43I lose this, I'm going to be pissed. I'm
  1828. 50:45going to be I'm going to be I'm going to
  1829. 50:46be pissed, I'm going to be pissed, by
  1830. 50:48the way.
  1831. 50:49Pissed.
  1832. 50:53What do we do? Do we just like
  1833. 50:55look at the [ __ ] screen?
  1834. 51:06>> Dude, this is [ __ ] hilarious.
  1835. 51:10This is [laughter] so stupid.
  1836. 51:13We're really 40 years old.
  1837. 51:18>> What?
  1838. 51:19>> [laughter]
  1839. 51:22>> No [ __ ] way.
  1840. 51:27Why it's brutal. This is a brutal It's a
  1841. 51:29brutal hit right now.
  1842. 51:31>> That's [laughter] actually genius. Z,
  1843. 51:33send send me the same [ __ ] on um
  1844. 51:35>> Oh, no, yeah. Hold on.
  1845. 51:36>> on my Telegram.
  1846. 51:37>> I got you. I got you.
  1847. 51:38That's so [ __ ] up, bro. I'm sick. I'm
  1848. 51:40sick right now. I'm sick.
  1849. 51:43>> That's crazy. I got to hop off, boys.
  1850. 51:44[laughter]
  1851. 51:45Appreciate you.
  1852. 51:46>> Yeah, appreciate you. Appreciate coming
  1853. 51:47on.
  1854. 51:48>> Oh, it's absolutely
  1855. 51:49>> Easy series of thanks and
  1856. 51:51>> And we're going to have you You should
  1857. 51:52be a regular guest on the show for sure.
  1858. 51:54>> Any time.
  1859. 51:55Once a week, pop in for 10 minutes. It's
  1860. 51:56going to be chill. We're We've been live
  1861. 51:58now, Z, for like 4 hours and I like this
  1862. 52:00this I like this. You know what I mean?
  1863. 52:02I like this.
  1864. 52:02>> you guys.
  1865. 52:03>> Yeah, peace.
  1866. 52:04>> All right, bro.

About this transcript

This page contains the full transcript of Easy Reveals the AI Sleeper Stock Nobody Saw Coming by Market Bubble, generated from the public captions YouTube serves with the video. The transcript has 12,056 words across 1,866 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.