WEBVTT - How the Snakes Dies: ICE, AMD, ARKK

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. One day we're gonna

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<v Speaker 1>touch on the thought situation.

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<v Speaker 2>Jesus, but no, I'm too frou.

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<v Speaker 1>We can have a possum update.

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<v Speaker 2>Yeah, tell us about the possum. You cleaned it up.

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<v Speaker 1>I cleaned it up. That's that's really the update. I

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<v Speaker 1>don't want to say that this show is my therapy,

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<v Speaker 1>because it is truly not that this show.

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<v Speaker 2>Is what you talk about in therapy.

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<v Speaker 1>But it isn't the case that, Like, as I was

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<v Speaker 1>talking about the possum last week, I knew that editors

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<v Speaker 1>were not going to cut it out and that I

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<v Speaker 1>was using it as a commitment device to finally make

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<v Speaker 1>myself just go out there and shovel up the dead

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<v Speaker 1>possum in my heart. Im. That's if you didn't listen

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<v Speaker 1>to the last week's episodes.

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<v Speaker 2>Yeah, wow, this would be horrifying. Go back listen to

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<v Speaker 2>that or don't interest it's interesting.

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<v Speaker 1>This is just like this is the like skip ahead banter, Awa. Yeah,

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<v Speaker 1>I cleaned up the possum. And then then my wife

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<v Speaker 1>was like, I listen to your podcast, I learned about

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<v Speaker 1>the possum.

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<v Speaker 2>That's a good test to find out if your spouse

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<v Speaker 2>listens and tests. I don't. I don't think Joe listens

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<v Speaker 2>because he didn't call me out on the fact that

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<v Speaker 2>I just wait for him to notice the vomit from the.

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<v Speaker 1>See he knew that. Yeah, this is like densely packed

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<v Speaker 1>with references.

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<v Speaker 2>Yeah, a lot of callbacks.

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<v Speaker 1>Yeah.

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<v Speaker 2>He probably also knows that because sometimes I'll say, Hey,

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<v Speaker 2>the cat vomited again, could you co get that right?

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<v Speaker 1>And other times you'll be sitting pointedly facing away from

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<v Speaker 1>the cat vomit and he'll be like, I know that,

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<v Speaker 1>you know there's cat vomit there, and you're like, what, we.

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<v Speaker 2>Have a cat psychological warfare.

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<v Speaker 1>Hello, Welcome to the Money Stuff Podcast. You're Herley podcast

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<v Speaker 1>where we talk about stuff. I led it to Money.

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<v Speaker 1>I'm Matt Levine and I write The Money Stuff Colum

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<v Speaker 1>from Bloomberg Opinion.

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<v Speaker 2>And I'm Katie Greyfell, a reporter for Bloomberg News and

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<v Speaker 2>an anchor for Bloomberg Television.

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<v Speaker 1>Polly Market. Yeah, so Bloomberg News. How a story this

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<v Speaker 1>week that Shane Coplin, the founder of Polymarket, is now

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<v Speaker 1>the world's youngest self made billionaire, which.

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<v Speaker 2>Is cool for him, definitely.

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<v Speaker 1>Shane Coplin lives or used to live next door to

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<v Speaker 1>a guy who throws a lot of book parties for

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<v Speaker 1>finance books. Oh, so you can see him like all

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<v Speaker 1>the finance book parties.

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<v Speaker 2>That's your kind of hangout.

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<v Speaker 1>Sadly, yes, and so yeah, I've seen Shane Coplin at book.

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<v Speaker 2>Parties and you've rubbed elvas.

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<v Speaker 1>I've rubbed Elvas. And when I saw that article, I

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<v Speaker 1>thought youngest self made billionaire. I realized that Shane Coplin

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<v Speaker 1>is the second world's youngest self made billionaire to be

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<v Speaker 1>in my phone context. It's not like an entirely positive development.

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<v Speaker 2>For right now. It is a positive development for Shane.

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<v Speaker 2>Will continue to watch this space.

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<v Speaker 1>It is also he did at the right order though

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<v Speaker 1>first he was investigative by the government, and now he's

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<v Speaker 1>a self made billionaire.

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<v Speaker 2>I was going to say, I forgot that it was

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<v Speaker 2>less than a year ago that his apartment was rated

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<v Speaker 2>by the Yeah, fast forward to October twenty twenty five,

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<v Speaker 2>he's super rich. ICE. Of course, the news from this

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<v Speaker 2>week was that they invested.

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<v Speaker 1>The inter Intercontinental Exchange.

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<v Speaker 2>We're not we're using government names.

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<v Speaker 1>ICE can mean a number of things. Anyway, gone anyway.

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<v Speaker 2>Ice, the Intercontinental Exchange investing two billion dollars in polymarket.

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<v Speaker 2>That gives it an eight billion dollar valuation. Pretty stunning.

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<v Speaker 2>And it was just last week that we were talking

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<v Speaker 2>about how prediction markets are eating everything and here we

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<v Speaker 2>are keep.

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<v Speaker 1>Going yeah right, it's funny, like I think of Calshi

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<v Speaker 1>as a sports gambling site, piymarket, I don't know, probably

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<v Speaker 1>market like feels a little pure. Yeah, you know this

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<v Speaker 1>the bloomerg story about Shane Complin's like founding a polymarket.

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<v Speaker 1>You know, he's like reading economics papers about prediction markets.

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<v Speaker 1>I'm thinking this is too good an idea to just

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<v Speaker 1>exist on white papers, and like I think he's like

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<v Speaker 1>fully committed to the notion of Yeah, but like you know,

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<v Speaker 1>they did get into sportscambling. Yeah, and I think that

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<v Speaker 1>I'm not sure, but my sense is that it is

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<v Speaker 1>hard to justify an eight billion dollar valuation for a

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<v Speaker 1>prediction market that is just elections and uh, you know,

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<v Speaker 1>who will be a time man of the person of

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<v Speaker 1>the year and uh and uh, you know, like just

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<v Speaker 1>fun predictions and not you know, for addicted sports candlers.

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<v Speaker 2>I will say that, you know, if you had told

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<v Speaker 2>me that Ice had outright bought poly Market for two

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<v Speaker 2>billion dollars, I still would have been like, Wow, that's

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<v Speaker 2>a lot of money. The fact that it does have

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<v Speaker 2>this eight billion dollar valuation also stuck out to.

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<v Speaker 1>Me, Right, I just think that that that valuation discounts

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<v Speaker 1>a lot of growth in sports, yeah, and a lot

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<v Speaker 1>of margins in sports and not the other thing. But

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<v Speaker 1>I'm intrigued, right when you read the announcement, like and

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<v Speaker 1>again when you read like Shane Coplan's public statements like like, yeah,

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<v Speaker 1>there's sports, but like they're not they're not leaning on

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<v Speaker 1>the sports. It's not like Robin Hood saying sportscambling is

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<v Speaker 1>an emerging hasset class. Yeah, they're like, eh, we're like

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<v Speaker 1>trying to find ways to understand and price the future.

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<v Speaker 1>And I think that's like a noble go like like

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<v Speaker 1>prediction markets, Like like he's not wrong that, like economists

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<v Speaker 1>have talked about them for years, Like the idea of

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<v Speaker 1>prediction markets, like providing a set of probabilities about the future,

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<v Speaker 1>does seem really socially useful. And my sense was always

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<v Speaker 1>that no one had cracked the nut, not of like

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<v Speaker 1>creating trading infrastructure or making it legal, but then not

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<v Speaker 1>of like making people want to trade it, such that

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<v Speaker 1>there was like a big market, a big liquid market

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<v Speaker 1>for it, such that professionals would have incentives to make

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<v Speaker 1>prediction market prices correct, right, yeah, because like and once like, oh,

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<v Speaker 1>let's gamble on whether like you know, the Ukraine War

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<v Speaker 1>will end, like I mean, people are but like, it's

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<v Speaker 1>not like a fun gambling product and so there's not

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<v Speaker 1>a lot of money to be made if you have

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<v Speaker 1>good insight into it. And so just the whole thing

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<v Speaker 1>has never quite worked right, and like y US presidential

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<v Speaker 1>elections where there's a lot of money, but otherwise it

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<v Speaker 1>never never feels like it quite works in sports or

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<v Speaker 1>you know, sports solve that problem. Yeah, people really want

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<v Speaker 1>to gamble on sports, and there's a lot of dumb

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<v Speaker 1>money and so there's a lot of value for smart

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<v Speaker 1>money to bet against, and so you have incentives to

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<v Speaker 1>build good sports prediction models and trade on polymarket and

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<v Speaker 1>all kind of works. And then you know, the question

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<v Speaker 1>is that does that spill over into the New York

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<v Speaker 1>City mayor race or you know macroeconomic variables or like

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<v Speaker 1>you know, the Grammys or whatever.

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<v Speaker 2>Yeah, well I do like that. You brought up again

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<v Speaker 2>the Grossman s tigletz paragdox in your call them on

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<v Speaker 2>this specific item. You're calling back to another column that

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<v Speaker 2>you know, maybe the way that we get to that

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<v Speaker 2>societal useful information is through the avenue of sports betting

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<v Speaker 2>and a lot of people making a lot of noise, right,

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<v Speaker 2>Like the gross and.

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<v Speaker 1>Said, what's paradox is the idea that like, you can't

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<v Speaker 1>have efficient markets because then no one would have incentives

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<v Speaker 1>to trade and make the markets efficient. Yeah, so Lassie

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<v Speaker 1>Peterson says that you need efficiently inefficient markets. You need

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<v Speaker 1>like just the right level of inefficiency to incentivize people

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<v Speaker 1>to make them more efficient. And like the economisty of

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<v Speaker 1>prediction markets is like people who have particular insight into

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<v Speaker 1>like whether there'll be a war will like trade their insights,

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<v Speaker 1>but like who will trade against them? Like who's just

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<v Speaker 1>like randomly wandering around like, oh, I bet there won't

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<v Speaker 1>be a war, and then like you know, get suckered

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<v Speaker 1>by the policy experts and in the stock market, Like

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<v Speaker 1>the answer to those questions they're super easy, right, The

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<v Speaker 1>answer to like who will trade against the hedge fund

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<v Speaker 1>is an index fund who is just blindly managing retirement

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<v Speaker 1>money and needs to invest it in stocks, And so

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<v Speaker 1>the hedge fund has like someone they know those trade against,

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<v Speaker 1>or the answer is like you know a retail investor or, Like,

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<v Speaker 1>there's a lot of straightforward answers to like who is

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<v Speaker 1>on the other side of this trade that allow people

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<v Speaker 1>with a lot of information to make money by trading

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<v Speaker 1>and incorporating that information enter prices in prediction markets. It

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<v Speaker 1>was never clear who those people were, right, Like, it's

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<v Speaker 1>not a savings product, right, Like people don't put aside

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<v Speaker 1>one hundred dollars a month in retirement savings in prediction markets,

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<v Speaker 1>so there's no like uninformed flow to trade against there.

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<v Speaker 1>And it has historically not been a super fun gambling market,

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<v Speaker 1>like with the exception of presidential elections and a few

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<v Speaker 1>other high profile things. But when you add sports, it

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<v Speaker 1>becomes a fun gambling market, and then that just opens

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<v Speaker 1>everything up, right, It allows people to make money making

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<v Speaker 1>informed predictions at least on sports and then maybe at

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<v Speaker 1>most of something else.

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<v Speaker 2>Yeah, I mean just assume that the people who are

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<v Speaker 2>betting on sports on the prediction market go into other

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<v Speaker 2>markets such as I don't know, elections or weather or

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<v Speaker 2>whatever else.

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<v Speaker 1>Well, it's both, right, So it's like, on the one hand,

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<v Speaker 1>like do you attract dumb money recreational gamblers to the platform,

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<v Speaker 1>and then they're like, well, i'm here anyway, I might

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<v Speaker 1>as well bet on election. Its like that seems plausible.

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<v Speaker 1>And the other thing is like, you know, if you

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<v Speaker 1>are a quantitative trading firm and you have historically traded

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<v Speaker 1>like stocks and options, a lot of those people are

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<v Speaker 1>now getting sports curious, right, Like they're building sports trading desks.

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<v Speaker 1>They're like building models to price sports events. Because it's

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<v Speaker 1>like kind of the same skill set, right, It's like

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<v Speaker 1>taking machine learning and applying it to a bunch of

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<v Speaker 1>data and like using it to predict the future. And

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<v Speaker 1>it's like, well, you can do that with stocks, you

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<v Speaker 1>can do it with sports. And there's a lot of

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<v Speaker 1>money to made. And so some quant trading firms are

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<v Speaker 1>either heading into the sports market making business or the

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<v Speaker 1>traders are leaving to start sports market making businesses. And

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<v Speaker 1>if those people who are trading on traditional sports books

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<v Speaker 1>or who are like market making on calci, if those

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<v Speaker 1>people start market making on polymarket in sports, it's like

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<v Speaker 1>a relatively easy lift for them to add an election column, right,

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<v Speaker 1>Like it's a whole new set of data analysis, but

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<v Speaker 1>they're already plugged in, you know, they're already like now,

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<v Speaker 1>the market structure works. So maybe if you're making money

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<v Speaker 1>trading against recreational gamblers on sports and you see election

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<v Speaker 1>prices that you think are out of line, you're like, well,

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<v Speaker 1>I put a few million dollars on that election too.

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<v Speaker 2>While I'm here, I might as well, Well it's just.

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<v Speaker 1>Right, it's convenient there.

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<v Speaker 2>Yeah, So what does ICE get out of this? I

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<v Speaker 2>don't know, That's the thing.

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<v Speaker 1>I mean, one answer is an investment, right, I mean

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<v Speaker 1>there's two things.

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<v Speaker 2>Right.

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<v Speaker 1>It's like, if it's the future of sports gambling, that's valuable.

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<v Speaker 1>And then like if like the way you trade your

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<v Speaker 1>insights into like whether there will be inflation changes from

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<v Speaker 1>like trading treasuries to like buying the inflation contract on polymarket,

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<v Speaker 1>Like that's a big deal, right, And I don't know

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<v Speaker 1>that that is a near term likely outcome. One, it's

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<v Speaker 1>a possibility, and two becomes more likely when you partner

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<v Speaker 1>with a big exchange firm, you know, like ICE now

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<v Speaker 1>when they're thinking about like what kind of like macroeconomic

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<v Speaker 1>products should we offer. Now, in addition to like interest

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<v Speaker 1>rate futures and bond futures, they can offer predictions of

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<v Speaker 1>inflation right, So that's one thing they get is like

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<v Speaker 1>the that's like currently in the cards, right, Like the

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<v Speaker 1>current situation is like they're going to distribute polymarket data,

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<v Speaker 1>which is of interest to people who trade on and

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<v Speaker 1>the other think it's tokenization, which who knows. That can

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<v Speaker 1>mean a lot of things. Yeah, it could be like

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<v Speaker 1>technological infrastructure for like trading ice products, where like instead

0:12:04.280 --> 0:12:08.560
<v Speaker 1>of buying great futures, you buy great futures tokens, right,

0:12:09.040 --> 0:12:11.520
<v Speaker 1>But it could also mean, like everyone talks a big

0:12:11.559 --> 0:12:14.760
<v Speaker 1>game about stock tokenization. Everyone, it's a big game about

0:12:14.840 --> 0:12:16.280
<v Speaker 1>tokenizing private companies.

0:12:16.360 --> 0:12:16.440
<v Speaker 2>Right.

0:12:16.480 --> 0:12:18.800
<v Speaker 1>There's a lot of stuff in that space, and like

0:12:20.000 --> 0:12:24.439
<v Speaker 1>it is possible that Polymarket, which is crypton native and

0:12:24.600 --> 0:12:28.199
<v Speaker 1>kind of fun, is better positioned to do some of

0:12:28.240 --> 0:12:31.160
<v Speaker 1>those initiatives than like the New York Stock Exchange, right,

0:12:31.240 --> 0:12:33.720
<v Speaker 1>which is the New York Stock Exchange, right, and which

0:12:33.760 --> 0:12:36.640
<v Speaker 1>has like if you're the New York Stock Exchange, like

0:12:36.640 --> 0:12:39.160
<v Speaker 1>we're gonna make everything tokenized. Like everyone who's already trading

0:12:39.200 --> 0:12:41.000
<v Speaker 1>on the stock exchange is gonna be very annoyed. Yeah,

0:12:41.240 --> 0:12:42.880
<v Speaker 1>Like Polymarket you can tokenize whatever they want.

0:12:43.040 --> 0:12:45.880
<v Speaker 2>Tokenization has been on my list of things to actually

0:12:45.960 --> 0:12:50.160
<v Speaker 2>think about for a while. See, but I haven't gotten there, Matt.

0:12:50.679 --> 0:12:54.000
<v Speaker 1>I've written about it. It's funny. It's like, to me,

0:12:54.200 --> 0:12:58.480
<v Speaker 1>tokenization means two things. Like one, there's like some amount

0:12:58.520 --> 0:13:02.839
<v Speaker 1>of trading in tradition financial markets. You could change the

0:13:03.280 --> 0:13:05.839
<v Speaker 1>back end of the market structure and make it so

0:13:05.960 --> 0:13:08.719
<v Speaker 1>that instead of being on some company's ledgers, it's on

0:13:08.800 --> 0:13:12.240
<v Speaker 1>a blockchain and you can call it tokenized.

0:13:11.760 --> 0:13:14.599
<v Speaker 2>And it's all a little people that.

0:13:14.840 --> 0:13:16.960
<v Speaker 1>Yeah, it's the sort of thing that like ten years ago,

0:13:17.000 --> 0:13:19.000
<v Speaker 1>you'd be like, it'll be a different database for your

0:13:19.040 --> 0:13:20.920
<v Speaker 1>interest rate futures. You'd be like, I don't care about that.

0:13:21.200 --> 0:13:23.360
<v Speaker 1>But now it's like, oh, it's tokenized, right, So that's

0:13:23.360 --> 0:13:25.560
<v Speaker 1>like like one thing is like the actual technological stuff,

0:13:25.960 --> 0:13:28.440
<v Speaker 1>and like it's stuff about like how things work together

0:13:28.520 --> 0:13:30.079
<v Speaker 1>and how like if you're an hedgephund you can like

0:13:30.760 --> 0:13:33.079
<v Speaker 1>move your tokens from one platform to another, and like

0:13:33.160 --> 0:13:35.960
<v Speaker 1>you can you know, live in the same blockchain environment

0:13:36.040 --> 0:13:37.640
<v Speaker 1>for different kinds of trades, right, Like you can trade

0:13:37.679 --> 0:13:41.679
<v Speaker 1>crypto against futures. I don't know, there's like that technological

0:13:41.760 --> 0:13:44.240
<v Speaker 1>market structure stuff. And then like to me, it always

0:13:44.280 --> 0:13:46.880
<v Speaker 1>seems like when people talk about tokenization what they're always

0:13:46.920 --> 0:13:50.760
<v Speaker 1>talking about is getting around securities loss, and that's not

0:13:51.640 --> 0:13:55.720
<v Speaker 1>always always true. I don't know that that's what Ice

0:13:55.800 --> 0:13:58.120
<v Speaker 1>and polymarket are talking about. It's what Robin is talking

0:13:58.120 --> 0:14:00.480
<v Speaker 1>about every time they talk about togonization, right, And it's like,

0:14:00.559 --> 0:14:03.240
<v Speaker 1>you see, like people like we should tokenize private companies

0:14:03.280 --> 0:14:05.560
<v Speaker 1>so that you can buy shares of private companies without

0:14:06.080 --> 0:14:08.040
<v Speaker 1>having them have to go public. It's like, well, that's

0:14:08.120 --> 0:14:10.880
<v Speaker 1>not how the securities laws works. But if we call

0:14:11.200 --> 0:14:13.280
<v Speaker 1>a share a token, then they don't have to follow

0:14:13.320 --> 0:14:13.640
<v Speaker 1>the law.

0:14:13.920 --> 0:14:15.040
<v Speaker 2>Yeah, so he struck me as.

0:14:14.960 --> 0:14:18.319
<v Speaker 1>Wrong, but it might turn out to be empirically correct.

0:14:18.360 --> 0:14:20.480
<v Speaker 1>But anyway, so there's two kinds of organization. I've etten

0:14:20.520 --> 0:14:23.280
<v Speaker 1>a lot about the bad regulatory arbitrage kind, but like

0:14:23.360 --> 0:14:28.440
<v Speaker 1>it's possible, the technological kind is important, meaningful, we'll do something.

0:14:28.720 --> 0:14:31.320
<v Speaker 2>Well, hopefully these initiatives will bear fruit and we can

0:14:31.400 --> 0:14:34.080
<v Speaker 2>actually figure out what Ice and polymarket are talking about.

0:14:34.600 --> 0:14:36.840
<v Speaker 1>Yeah, I will say that, I like, I have spent

0:14:37.120 --> 0:14:41.280
<v Speaker 1>ten years writing about financial infrastructure firms saying we're doing

0:14:41.320 --> 0:14:42.560
<v Speaker 1>a blockchain initiative.

0:14:43.000 --> 0:14:45.800
<v Speaker 2>It's all about the tech, and then like five years later.

0:14:45.720 --> 0:14:47.720
<v Speaker 1>They're like, we have stopped their blockchain initiative.

0:14:47.840 --> 0:14:50.640
<v Speaker 2>Stop asking about it. We don't want to talk about.

0:14:50.360 --> 0:14:55.000
<v Speaker 1>It, right, So it's puzzle tokenization. Is that it's puzzle tokenization.

0:14:55.080 --> 0:14:57.560
<v Speaker 1>It's like we're putting the futures on the blockchain and

0:14:57.720 --> 0:15:01.760
<v Speaker 1>then five years later we'll stop talking about it. Yes,

0:15:01.800 --> 0:15:03.840
<v Speaker 1>I've thought a lot about taking anosition, but I don't

0:15:03.840 --> 0:15:05.560
<v Speaker 1>have any I don't know what I mean. It's either.

0:15:20.240 --> 0:15:26.520
<v Speaker 2>I feel like I talked about raboris on this show before. Yeah, yeah,

0:15:27.360 --> 0:15:32.280
<v Speaker 2>the snake eating itself. Well, another way of saying that is,

0:15:32.600 --> 0:15:34.600
<v Speaker 2>you know, all these big tech companies are just spending

0:15:34.640 --> 0:15:38.200
<v Speaker 2>money in a circle, and this week I feel like

0:15:38.400 --> 0:15:42.320
<v Speaker 2>that idea was really on display. When you think about

0:15:42.800 --> 0:15:46.080
<v Speaker 2>open ai and a m D and the deal that

0:15:46.160 --> 0:15:51.240
<v Speaker 2>they inked, it's great. Yeah. Yeah, So my understanding basically

0:15:51.560 --> 0:15:56.760
<v Speaker 2>is that specifically with a m D, so they agreed

0:15:57.440 --> 0:16:00.120
<v Speaker 2>to deploy a bunch of a m D chips and

0:16:00.240 --> 0:16:02.680
<v Speaker 2>as part of that, they're also getting a bunch of

0:16:02.800 --> 0:16:04.880
<v Speaker 2>warrants for AMD shares as well.

0:16:05.120 --> 0:16:07.280
<v Speaker 1>Yeah, there's kind of two wild ass ways of it.

0:16:07.720 --> 0:16:10.720
<v Speaker 1>I mean there's at least seventeen, but like two wild

0:16:10.760 --> 0:16:14.880
<v Speaker 1>asspays of it. One is that open Ai has committed

0:16:14.920 --> 0:16:17.360
<v Speaker 1>to spend I don't know the number, but it's like

0:16:17.480 --> 0:16:20.320
<v Speaker 1>it's six gigawatts of chips. Yeah, and they've said it's

0:16:20.360 --> 0:16:22.520
<v Speaker 1>like tens of billions of dollars per So the open

0:16:22.560 --> 0:16:24.440
<v Speaker 1>eye is committed to spend something on the order of

0:16:24.480 --> 0:16:28.440
<v Speaker 1>one hundred billion dollars buying chips from AIM and open

0:16:28.480 --> 0:16:32.040
<v Speaker 1>A doesn't have one hundred billion dollars. No. One thing

0:16:32.080 --> 0:16:35.000
<v Speaker 1>that is happening here is that the market has ascribed

0:16:35.120 --> 0:16:37.520
<v Speaker 1>a value to open ai of like, you know, half

0:16:37.560 --> 0:16:43.440
<v Speaker 1>a trillion dollars, and that value is sufficiently real that

0:16:43.640 --> 0:16:47.360
<v Speaker 1>open and ai can like make financial commitments based on it.

0:16:47.440 --> 0:16:48.680
<v Speaker 1>They can be like, yeah, we'll give you a hundred

0:16:48.680 --> 0:16:50.360
<v Speaker 1>million dollars for your chips, and they're great, and it's

0:16:50.400 --> 0:16:52.120
<v Speaker 1>like everyone's like, yeah, that'll work out right, But like

0:16:52.200 --> 0:16:55.600
<v Speaker 1>there's no, it's not in the bank, Like that's like, yeah,

0:16:55.680 --> 0:16:57.800
<v Speaker 1>it's five million dollars company, they'll find the money. And

0:16:58.240 --> 0:16:59.680
<v Speaker 1>I don't think that's a wrong bet. It's just an

0:16:59.720 --> 0:17:03.560
<v Speaker 1>interesting they're able to commit cash based not on the

0:17:03.640 --> 0:17:06.480
<v Speaker 1>cash they have, but on their valuation. And then the

0:17:06.560 --> 0:17:09.080
<v Speaker 1>other thing that's happening is that like when open ai

0:17:09.200 --> 0:17:12.480
<v Speaker 1>says anything about anyone, the stock goes up. And so

0:17:12.560 --> 0:17:14.480
<v Speaker 1>when Opening I announces a deal of like we're gonna

0:17:14.480 --> 0:17:17.200
<v Speaker 1>send one hundred million dollars on AMTI chips, AMD stock

0:17:17.680 --> 0:17:22.399
<v Speaker 1>very predictably goes up. And so knowing that as they

0:17:22.520 --> 0:17:26.480
<v Speaker 1>negotiated the deal, they're like, what we should do is

0:17:27.720 --> 0:17:30.720
<v Speaker 1>we should take your very predictable stock price rise and

0:17:30.880 --> 0:17:34.000
<v Speaker 1>use that to pay for the chips. Right like, essentially,

0:17:34.320 --> 0:17:37.760
<v Speaker 1>like AMD shareholders will get excited about AMD having this deal,

0:17:38.080 --> 0:17:40.440
<v Speaker 1>and so we'll let the AMD shareholders pay for the chips.

0:17:40.640 --> 0:17:42.520
<v Speaker 1>And so that's kind of what happened, which is that

0:17:43.960 --> 0:17:47.520
<v Speaker 1>AMD stock we're recruiting this on Wednesday at a stock

0:17:47.600 --> 0:17:49.879
<v Speaker 1>is up roughly one hundred billion dollars from where it

0:17:50.080 --> 0:17:54.359
<v Speaker 1>was last Friday before they announced the deal, and you

0:17:54.440 --> 0:17:59.280
<v Speaker 1>know that'll covers the chips. And open Ai, which as

0:17:59.320 --> 0:18:04.280
<v Speaker 1>far as we know, plans to pay cash for these chips. Yeah, yeah,

0:18:04.560 --> 0:18:06.040
<v Speaker 1>I don't think the deal is like we won't pay

0:18:06.080 --> 0:18:07.680
<v Speaker 1>for the chips. The deals. We will pay for the chips.

0:18:07.840 --> 0:18:11.720
<v Speaker 1>But Open Eye is getting warrants for roughly ten percent

0:18:11.840 --> 0:18:15.480
<v Speaker 1>of AMD with like vesting conditions, but they're like penny

0:18:15.520 --> 0:18:17.320
<v Speaker 1>warrants and so right Now, if you just assume they'll

0:18:17.359 --> 0:18:21.399
<v Speaker 1>get all of the warrants, that's like a thirty seven

0:18:21.520 --> 0:18:25.760
<v Speaker 1>billion dollar ish yeah, value transferred to open Ai. Yeah,

0:18:26.200 --> 0:18:30.240
<v Speaker 1>which one will help pay for the cost of this contract.

0:18:30.960 --> 0:18:33.080
<v Speaker 1>And two it is only fair because like they created

0:18:33.119 --> 0:18:34.920
<v Speaker 1>all that extra value at AMD, right, Like they're the

0:18:34.960 --> 0:18:38.960
<v Speaker 1>ones who by sprinkling their magic dust on AMD, we're

0:18:39.000 --> 0:18:40.959
<v Speaker 1>able to make AMD more valuable. And so yeah, they

0:18:40.960 --> 0:18:42.520
<v Speaker 1>get back half that value in warrants.

0:18:42.720 --> 0:18:46.040
<v Speaker 2>Yeah. Well two things. So to your point that you

0:18:46.119 --> 0:18:50.720
<v Speaker 2>know open ai mentions some sort of whatever with another company,

0:18:50.800 --> 0:18:52.679
<v Speaker 2>a public company, their stare price goes up.

0:18:52.760 --> 0:18:52.960
<v Speaker 1>Yeah.

0:18:53.000 --> 0:18:54.920
<v Speaker 2>It makes me think about what we keep talking about

0:18:54.920 --> 0:18:59.399
<v Speaker 2>in terms of the private and public markets converging. Obviously,

0:18:59.520 --> 0:19:02.760
<v Speaker 2>open Ai famously is not public, but has been making

0:19:02.840 --> 0:19:06.080
<v Speaker 2>a ton of waves in the public stock market. The

0:19:06.200 --> 0:19:08.640
<v Speaker 2>other thing is, you know what we saw with open

0:19:08.680 --> 0:19:11.359
<v Speaker 2>Ai and AMD this week isn't a one off. They

0:19:11.440 --> 0:19:14.440
<v Speaker 2>have something similar with in Video, which of course is

0:19:14.520 --> 0:19:15.800
<v Speaker 2>a direct rival of AMD.

0:19:16.400 --> 0:19:19.080
<v Speaker 1>Yeah, it's like very different, but it's like from at

0:19:19.080 --> 0:19:21.000
<v Speaker 1>a high level, the same thing, Right, it's like we

0:19:21.119 --> 0:19:23.359
<v Speaker 1>have a partnership where I think in that case, in

0:19:23.440 --> 0:19:25.720
<v Speaker 1>Video is investing in open Ai and then Yeah.

0:19:25.760 --> 0:19:28.200
<v Speaker 2>In video agreed to invest as much as one hundred

0:19:28.200 --> 0:19:31.640
<v Speaker 2>billion dollars in open Ai to help open ai fund

0:19:31.680 --> 0:19:35.760
<v Speaker 2>a data center build out in Exchange. Open Ai committed

0:19:35.800 --> 0:19:39.480
<v Speaker 2>to filling those data centers with millions of in Nvidia chips.

0:19:40.200 --> 0:19:42.520
<v Speaker 2>This is a little bit old, but I was reading

0:19:42.800 --> 0:19:46.560
<v Speaker 2>this piece from Michael sembelest Over at JP Morgan and

0:19:47.119 --> 0:19:49.520
<v Speaker 2>he wrote this at the end of September. But it

0:19:49.640 --> 0:19:53.199
<v Speaker 2>spiritually can apply to all of these deals that Oracle

0:19:53.280 --> 0:19:56.040
<v Speaker 2>stock jump by twenty five percent after being promised sixty

0:19:56.119 --> 0:19:58.600
<v Speaker 2>billion dollars a year from open Ai in amount of

0:19:58.680 --> 0:20:02.040
<v Speaker 2>money open Ai doesn't earn yet to provide cloud computing

0:20:02.080 --> 0:20:05.320
<v Speaker 2>facilities that Oracle hasn't built yet and which will require

0:20:05.560 --> 0:20:08.760
<v Speaker 2>four point five gigwats of power, which is the equivalent

0:20:08.920 --> 0:20:13.240
<v Speaker 2>of several Hoover dams. So it's easy, if you wanted

0:20:14.400 --> 0:20:17.879
<v Speaker 2>to get scared and flustered, to build a case that

0:20:17.960 --> 0:20:19.760
<v Speaker 2>there's a bubble being inflated right now.

0:20:20.920 --> 0:20:24.520
<v Speaker 1>I don't disagree. It's unusually easy to like visualize the future,

0:20:24.640 --> 0:20:27.480
<v Speaker 1>right It's usually easily to be like Ai is going

0:20:27.560 --> 0:20:31.159
<v Speaker 1>to be huge, m It's going to transform every aspect

0:20:31.200 --> 0:20:33.600
<v Speaker 1>of life. It's going to require a lot of power,

0:20:34.040 --> 0:20:36.480
<v Speaker 1>and like that requirement is going to be so obvious

0:20:36.520 --> 0:20:38.080
<v Speaker 1>that like we'll build the power plants. It's going to

0:20:38.160 --> 0:20:39.720
<v Speaker 1>require a lot of data centers, and that requirement is

0:20:39.760 --> 0:20:41.280
<v Speaker 1>going to be so obvious. We'll build the data centers

0:20:41.680 --> 0:20:45.400
<v Speaker 1>and it's going to rake in oceans of money. Yeah,

0:20:45.400 --> 0:20:47.440
<v Speaker 1>and that is so obvious that like the people who'll

0:20:47.440 --> 0:20:49.280
<v Speaker 1>be raking in the money open AI I can just

0:20:49.320 --> 0:20:52.560
<v Speaker 1>spend that money now, you know, Yeah, sixty billion dollars year,

0:20:52.600 --> 0:20:56.040
<v Speaker 1>No problem, we'll get that, we'll up. Yeah, Like this

0:20:56.200 --> 0:20:58.080
<v Speaker 1>is what capital markets are supposed to do, which is

0:20:58.160 --> 0:21:03.639
<v Speaker 1>like discount the future. And here there's like unusually widespread

0:21:03.680 --> 0:21:06.560
<v Speaker 1>consensus on like how big and transformative this future will

0:21:06.600 --> 0:21:08.520
<v Speaker 1>be and like what the steps are to get there,

0:21:08.920 --> 0:21:13.920
<v Speaker 1>and so it's all being discounted right now into you know,

0:21:14.040 --> 0:21:16.320
<v Speaker 1>the price of Open Eye. But also like these enormous,

0:21:17.000 --> 0:21:20.560
<v Speaker 1>long term, incredibly capital intensive deals where everyone's like, yeah,

0:21:20.600 --> 0:21:21.560
<v Speaker 1>of course that's going to get fine.

0:21:21.600 --> 0:21:23.840
<v Speaker 2>It's like that's no problem, don't worry about it.

0:21:24.000 --> 0:21:27.919
<v Speaker 1>And like one like that is the consensus view, right,

0:21:27.960 --> 0:21:29.200
<v Speaker 1>Like that is what people think.

0:21:29.160 --> 0:21:31.639
<v Speaker 2>Right, very strong, it's very much so it's.

0:21:31.480 --> 0:21:34.080
<v Speaker 1>Not like a priori crazy to be like, yes, we

0:21:34.200 --> 0:21:36.399
<v Speaker 1>can see how this is going to go, and so

0:21:36.760 --> 0:21:39.760
<v Speaker 1>we're putting our money into it now. On the other hand, too,

0:21:39.800 --> 0:21:42.040
<v Speaker 1>like yeah, if you want to take the contrarian view,

0:21:42.240 --> 0:21:45.080
<v Speaker 1>like that sounds like a bubble. Yeah, that does sound

0:21:45.119 --> 0:21:46.520
<v Speaker 1>like of course it sounds like a bubble.

0:21:46.720 --> 0:21:48.840
<v Speaker 2>Yeah, because there is a risk that we are a

0:21:49.080 --> 0:21:52.720
<v Speaker 2>risk we're overbuilding here. For sure, A is going to

0:21:52.800 --> 0:21:54.920
<v Speaker 2>change the future. I feel like it's hard to argue

0:21:54.960 --> 0:21:58.399
<v Speaker 2>with that. But do we need this money? Gigawaws? Do

0:21:58.520 --> 0:21:59.440
<v Speaker 2>we need this money?

0:21:59.680 --> 0:22:01.600
<v Speaker 1>I don't know how many giggs we need? Come on

0:22:02.640 --> 0:22:05.160
<v Speaker 1>you and like, you know, what he says kind of goes,

0:22:05.320 --> 0:22:07.440
<v Speaker 1>but like, I don't think it would be crazy to

0:22:07.520 --> 0:22:09.720
<v Speaker 1>think that, like the current consensus is wrunging in either

0:22:09.760 --> 0:22:11.480
<v Speaker 1>direction by a factor of two, right, and if it's

0:22:11.560 --> 0:22:15.120
<v Speaker 1>like low by a factor too, then like everyone's getting

0:22:15.119 --> 0:22:17.840
<v Speaker 1>get rich, right, And if it's high, then like all

0:22:17.920 --> 0:22:19.880
<v Speaker 1>these deals will look a little bubbly. But like still,

0:22:20.080 --> 0:22:22.960
<v Speaker 1>you know, and you know, in like ten years, like hey,

0:22:23.000 --> 0:22:24.680
<v Speaker 1>I will have been transformative, and I'm we're glad we

0:22:24.760 --> 0:22:26.520
<v Speaker 1>have many of those data centers.

0:22:26.680 --> 0:22:30.119
<v Speaker 2>Yeah, for sure. Internet comparisons et cetera. You can make

0:22:30.160 --> 0:22:32.600
<v Speaker 2>them here. But instead I'm going to say that there

0:22:32.840 --> 0:22:35.320
<v Speaker 2>was an interesting crack that seemed to form this week.

0:22:35.400 --> 0:22:38.480
<v Speaker 2>Did you see that report by the Information on Oracle. Yes,

0:22:38.880 --> 0:22:42.159
<v Speaker 2>basically it's cloud margins are super thin. To give you

0:22:42.240 --> 0:22:46.399
<v Speaker 2>the details. According to the Information, so Oracle's cloud business

0:22:46.480 --> 0:22:51.080
<v Speaker 2>has narrow margins that many analysts anticipated. They generated about

0:22:51.200 --> 0:22:55.560
<v Speaker 2>nine hundred million dollars in sales by renting servers powered

0:22:55.600 --> 0:22:58.600
<v Speaker 2>by in video chips, but it's gross profit came in

0:22:58.760 --> 0:23:01.760
<v Speaker 2>at fourteen cents for every one dollars in sale. Again,

0:23:02.080 --> 0:23:07.120
<v Speaker 2>this is according to the Information, which is like retailer margins,

0:23:07.160 --> 0:23:08.360
<v Speaker 2>which is pretty crazy.

0:23:09.080 --> 0:23:10.920
<v Speaker 1>Not that I mean, it's a huge business, right, and

0:23:11.000 --> 0:23:13.320
<v Speaker 1>so like, one question is like, who are going to

0:23:13.359 --> 0:23:16.080
<v Speaker 1>be the like monopoly players in this business? And who

0:23:16.160 --> 0:23:20.320
<v Speaker 1>are going to be the like in the fiercely competitive

0:23:21.359 --> 0:23:24.359
<v Speaker 1>business of selling to those monopolists, right? And like, right,

0:23:24.440 --> 0:23:27.320
<v Speaker 1>it's very possible that Oracle is in a commodity business.

0:23:27.920 --> 0:23:31.920
<v Speaker 1>And my sense is that people think that in Vidia

0:23:32.119 --> 0:23:34.480
<v Speaker 1>is very much not in a commodity business. Right, That

0:23:34.520 --> 0:23:36.680
<v Speaker 1>could be wrong, right, And my sense that people think

0:23:36.720 --> 0:23:38.560
<v Speaker 1>open AA is not in a commodity business. That open

0:23:38.600 --> 0:23:43.120
<v Speaker 1>AA has something special and so when it name checks

0:23:43.119 --> 0:23:45.520
<v Speaker 1>a public company, that company goes up. Right, And like

0:23:45.640 --> 0:23:47.240
<v Speaker 1>in Vidia has the same power, right, like the in

0:23:47.359 --> 0:23:49.480
<v Speaker 1>video will sign a partnership with someone and their stock

0:23:49.520 --> 0:23:52.119
<v Speaker 1>will go up. But like it's not clear that, like

0:23:52.240 --> 0:23:55.280
<v Speaker 1>the people who run the data centers have the same

0:23:55.320 --> 0:23:55.920
<v Speaker 1>pricing power.

0:23:56.640 --> 0:23:58.600
<v Speaker 2>Just wonder how the snake dies in the end, you know,

0:23:59.440 --> 0:24:02.440
<v Speaker 2>is it because it chokes or because it's being eaten?

0:24:04.359 --> 0:24:04.520
<v Speaker 1>You know?

0:24:04.800 --> 0:24:07.080
<v Speaker 2>Do you ever think about that constantly?

0:24:23.359 --> 0:24:25.119
<v Speaker 1>I want to talk about too, miscellan things I do

0:24:25.240 --> 0:24:27.880
<v Speaker 1>want to talk about. You had Kathy Wood on your show,

0:24:28.040 --> 0:24:30.200
<v Speaker 1>Yeah I did, and you talked about.

0:24:30.000 --> 0:24:34.560
<v Speaker 2>The other show. Yeah, swimming is not your show.

0:24:34.760 --> 0:24:35.520
<v Speaker 1>This is your show.

0:24:35.760 --> 0:24:37.320
<v Speaker 2>The other show the E t f I S E

0:24:37.400 --> 0:24:41.000
<v Speaker 2>tf IQ weekly Mondays at noon. But you can catch

0:24:41.080 --> 0:24:43.080
<v Speaker 2>me on the clothes every day three to five pm. Anyway,

0:24:43.160 --> 0:24:44.080
<v Speaker 2>go on good Plug.

0:24:44.440 --> 0:24:47.920
<v Speaker 1>And you asked her about the ETF I p O

0:24:48.080 --> 0:24:49.679
<v Speaker 1>heartbeat tray. We talked about a couple of weeks ago.

0:24:49.720 --> 0:24:51.159
<v Speaker 2>There was no way I could not ask her.

0:24:52.080 --> 0:24:55.560
<v Speaker 1>Yeah, so this is the trade where like someone pumps

0:24:55.600 --> 0:24:58.760
<v Speaker 1>like a billion dollars into into an r ETF and

0:24:59.600 --> 0:25:03.760
<v Speaker 1>they do right before some hot IPO and they're betting

0:25:03.880 --> 0:25:05.639
<v Speaker 1>that the ETF is going to get an allocation in

0:25:05.680 --> 0:25:07.960
<v Speaker 1>the IPO and the IPO is going to pop and

0:25:08.040 --> 0:25:10.600
<v Speaker 1>then they will heartbeat out of the ATF and so

0:25:10.720 --> 0:25:13.439
<v Speaker 1>they will have like borrowed shares of all the underlying companies,

0:25:13.600 --> 0:25:16.560
<v Speaker 1>put it into the ETF, taking it right back out again.

0:25:16.960 --> 0:25:20.560
<v Speaker 1>And they've done nothing, like there's no trade there, Like

0:25:20.600 --> 0:25:24.399
<v Speaker 1>they've reversed everything except that they've extracted their portion of

0:25:24.440 --> 0:25:28.639
<v Speaker 1>the IPO pop and monetized that. So if like the

0:25:29.160 --> 0:25:31.720
<v Speaker 1>ETF gets a twenty million dollar IPO allocation and it

0:25:31.800 --> 0:25:34.520
<v Speaker 1>goes up fifty percent, then like there's ten million dollars

0:25:34.560 --> 0:25:36.479
<v Speaker 1>of profits. And if you own half of the ETF

0:25:36.600 --> 0:25:38.360
<v Speaker 1>for like a day, then you get like five million

0:25:38.359 --> 0:25:39.560
<v Speaker 1>dollars of profits with no risk.

0:25:39.800 --> 0:25:40.000
<v Speaker 2>Yeah.

0:25:40.240 --> 0:25:43.360
<v Speaker 1>And so it seems like someone did that a couple

0:25:43.400 --> 0:25:45.480
<v Speaker 1>of times. Yeah, And you asked, Kathy, what about it?

0:25:46.040 --> 0:25:48.920
<v Speaker 2>I did so, first of all, ask for who, she said,

0:25:49.200 --> 0:25:52.879
<v Speaker 2>as I doesn't know, probably a market maker. And she

0:25:53.040 --> 0:25:56.480
<v Speaker 2>pointed out that this takes a lot of guesswork on

0:25:56.600 --> 0:25:59.320
<v Speaker 2>the part of whoever is behind it, the theoretical market

0:25:59.359 --> 0:25:59.720
<v Speaker 2>maker in this.

0:26:00.040 --> 0:26:01.800
<v Speaker 1>Yeah, people got it wrong, like there's like one of

0:26:01.840 --> 0:26:04.080
<v Speaker 1>the big ETFs had one of these big heart beats

0:26:04.240 --> 0:26:06.439
<v Speaker 1>for a big IPA that they didn't get an allocation.

0:26:06.760 --> 0:26:09.159
<v Speaker 2>Yeah, this is according to the FT reporting that it

0:26:09.280 --> 0:26:12.880
<v Speaker 2>was the Arc Innovation ETF. That's their biggest ETF. Basically

0:26:13.000 --> 0:26:16.800
<v Speaker 2>before the Klarna IPO there was that huge heartbeat surge,

0:26:17.359 --> 0:26:20.200
<v Speaker 2>but ARC didn't actually get an allocation in that fund

0:26:20.480 --> 0:26:23.840
<v Speaker 2>to Klarna, so it was kind of a worthless experience,

0:26:24.119 --> 0:26:27.560
<v Speaker 2>whereas they had someone successfully did it with Circle I believe,

0:26:27.680 --> 0:26:30.399
<v Speaker 2>and ARC was a backer of Circle. I think like

0:26:30.760 --> 0:26:33.919
<v Speaker 2>the FT had mentioned that ARC's website hadn't mentioned Klarna

0:26:34.040 --> 0:26:37.000
<v Speaker 2>in some capacity, so you know, maybe it wasn't a

0:26:37.119 --> 0:26:41.240
<v Speaker 2>terrible guess. But I also asked her how she felt

0:26:41.280 --> 0:26:43.520
<v Speaker 2>about it. Actually, my coinker Scarlet Food, askt her how

0:26:43.560 --> 0:26:46.320
<v Speaker 2>she felt about it, Like, was she okay with the

0:26:46.440 --> 0:26:49.640
<v Speaker 2>fact that her funds are just being used as vehicles

0:26:50.119 --> 0:26:54.800
<v Speaker 2>to facilitate these trades, And her answer was she's not upset.

0:26:55.400 --> 0:26:58.520
<v Speaker 2>This is what makes a market and if they guess right, great,

0:26:58.680 --> 0:27:01.680
<v Speaker 2>If they don't, well then they have nothing. They've they've

0:27:01.720 --> 0:27:02.719
<v Speaker 2>incurred some costs.

0:27:03.320 --> 0:27:05.640
<v Speaker 1>I'm just interested in that answer because when we tried

0:27:05.640 --> 0:27:07.040
<v Speaker 1>it with this, like that's kind of what I said.

0:27:07.080 --> 0:27:09.080
<v Speaker 1>I was like ETFs like, like, on the one hand,

0:27:09.119 --> 0:27:11.440
<v Speaker 1>her ETFs are like her investment vehicles. She runs it,

0:27:11.520 --> 0:27:14.760
<v Speaker 1>she's making decisions like you know, it's her fund. But

0:27:14.880 --> 0:27:17.080
<v Speaker 1>on the other hand, ETFs are kind of a piece

0:27:17.119 --> 0:27:19.359
<v Speaker 1>of market plumbing, and like that means they can be

0:27:19.480 --> 0:27:23.760
<v Speaker 1>used by other people mechanically that being her decision. And

0:27:23.880 --> 0:27:25.719
<v Speaker 1>so I think that it's like an interesting like her

0:27:25.800 --> 0:27:27.720
<v Speaker 1>take on this is like, yeah, we're kind of market plumbing,

0:27:27.760 --> 0:27:29.399
<v Speaker 1>and so if that's what people do, that's what people do.

0:27:30.119 --> 0:27:33.760
<v Speaker 1>That's not everyone's take. I heard from one person in

0:27:33.840 --> 0:27:36.960
<v Speaker 1>the ETF world that like won First of all, ETFs

0:27:37.040 --> 0:27:39.040
<v Speaker 1>can turn down creation and redemption trades.

0:27:39.160 --> 0:27:42.199
<v Speaker 2>She said no to that, Okay, depends on.

0:27:42.280 --> 0:27:45.720
<v Speaker 1>Like the authorized participant agreements. But their sense is like

0:27:45.800 --> 0:27:48.040
<v Speaker 1>the norm is that you can turn down. And then

0:27:48.080 --> 0:27:51.480
<v Speaker 1>two like this is rude, yeah, and not nice, and

0:27:52.960 --> 0:27:54.720
<v Speaker 1>because you know, like on the one hand, these are

0:27:54.840 --> 0:27:57.639
<v Speaker 1>ETFs are market plumbing that anyone can kind of trade against,

0:27:57.640 --> 0:28:00.720
<v Speaker 1>but on the other hand, like they are a like

0:28:00.880 --> 0:28:04.320
<v Speaker 1>retail investment product, and if you are an authorised participant,

0:28:04.560 --> 0:28:07.680
<v Speaker 1>if you're a market maker training against these ETFs, like,

0:28:08.520 --> 0:28:10.320
<v Speaker 1>it's kind of your job to be like a nice

0:28:10.359 --> 0:28:13.200
<v Speaker 1>participant in the ecosystem and make them a friendly investment

0:28:13.240 --> 0:28:15.919
<v Speaker 1>product for people. And if you're extracting the IPO premium

0:28:15.960 --> 0:28:17.959
<v Speaker 1>from the ETF, like, that's not nice to the end

0:28:18.040 --> 0:28:20.879
<v Speaker 1>investors and it's like not a constructive thing to do

0:28:20.960 --> 0:28:21.760
<v Speaker 1>in the ecosystem.

0:28:21.960 --> 0:28:25.760
<v Speaker 2>Yeah, I mean, I was also a little bit surprised

0:28:25.760 --> 0:28:28.800
<v Speaker 2>and interested in her answer. It's very emotionally mature, because

0:28:29.560 --> 0:28:32.320
<v Speaker 2>if I put myself into her shoes and Okay, my

0:28:32.480 --> 0:28:35.040
<v Speaker 2>fund is a piece of market plumbing, I accept that.

0:28:35.280 --> 0:28:38.800
<v Speaker 2>But if I have a sink and someone turns on

0:28:38.920 --> 0:28:42.320
<v Speaker 2>the faucet, I would hope they're washing their hands, washing

0:28:42.360 --> 0:28:44.960
<v Speaker 2>their hands in this scenario, always investing in the fund

0:28:45.080 --> 0:28:48.520
<v Speaker 2>because they believe in, you know, my stock picking prowess,

0:28:48.600 --> 0:28:50.640
<v Speaker 2>not that they're just turning on the faucet and then

0:28:51.680 --> 0:28:52.520
<v Speaker 2>doing something else.

0:28:52.600 --> 0:28:54.640
<v Speaker 1>I guess my emotional reaction would be if I woke

0:28:54.720 --> 0:28:56.920
<v Speaker 1>up one day and someone would invested an extra billion

0:28:56.960 --> 0:28:58.959
<v Speaker 1>dollars in my fund, I'd be like sweet. And then

0:28:59.040 --> 0:29:01.960
<v Speaker 1>three days later if they were like they took it

0:29:02.000 --> 0:29:04.240
<v Speaker 1>out again, and be like oh yeah, it would be

0:29:04.320 --> 0:29:05.720
<v Speaker 1>a real emotional roller coaster.

0:29:05.720 --> 0:29:09.720
<v Speaker 2>Like you made my chart so ugly. Yeah, but Kathy,

0:29:09.760 --> 0:29:13.160
<v Speaker 2>would you know, she's not like us, She is built different.

0:29:13.400 --> 0:29:16.400
<v Speaker 1>Yeah. One more thing we have to talk about is that.

0:29:16.720 --> 0:29:18.760
<v Speaker 1>So we had Ryan Patch and John Seal on the

0:29:18.800 --> 0:29:23.280
<v Speaker 1>podcast in May to talk about puzzle hunts generally and

0:29:23.560 --> 0:29:26.880
<v Speaker 1>the Midnight Madness Wall Street puzzle hunt that they run.

0:29:26.960 --> 0:29:29.520
<v Speaker 1>In particular. Midnight Madness was this past weekend.

0:29:29.920 --> 0:29:30.840
<v Speaker 2>Did you participate?

0:29:31.520 --> 0:29:35.440
<v Speaker 1>I did not because for two good for three reasons.

0:29:35.800 --> 0:29:37.600
<v Speaker 2>One is that you were taking care of the possum.

0:29:39.080 --> 0:29:41.840
<v Speaker 1>When is that to be like an entry in Middle

0:29:41.920 --> 0:29:44.160
<v Speaker 1>Badness costs I believe forty two thousand dollars for a

0:29:44.200 --> 0:29:46.080
<v Speaker 1>team of six people. You've got that, which a little

0:29:46.080 --> 0:29:48.800
<v Speaker 1>steep to the team that I have done puzzle hunts

0:29:48.800 --> 0:29:50.880
<v Speaker 1>with before, Like people had other things and so like

0:29:51.120 --> 0:29:54.920
<v Speaker 1>we didn't get the team together. And three, I am

0:29:54.960 --> 0:29:57.680
<v Speaker 1>an old man and it runs from like noon to

0:29:57.800 --> 0:30:02.400
<v Speaker 1>like four am. And the idea of shopping to apparently

0:30:02.440 --> 0:30:05.480
<v Speaker 1>started in Coney Island, and like you know, it goes

0:30:05.520 --> 0:30:08.280
<v Speaker 1>all over the city, and it just it just seemed

0:30:08.320 --> 0:30:11.440
<v Speaker 1>like a little too much for me. It's a young

0:30:11.480 --> 0:30:15.560
<v Speaker 1>man's game. Yeah, it's not only a man's there's a

0:30:15.640 --> 0:30:16.240
<v Speaker 1>gender divide.

0:30:16.960 --> 0:30:19.200
<v Speaker 2>I don't know if that phrase works as well. It's

0:30:19.200 --> 0:30:20.240
<v Speaker 2>a young person's game.

0:30:20.360 --> 0:30:23.600
<v Speaker 1>Yeah, But anyway, it was this weekend. Nineteen teams played.

0:30:23.640 --> 0:30:25.920
<v Speaker 1>There raised eight hundred and eighteen thousand dollars for charity

0:30:25.960 --> 0:30:28.520
<v Speaker 1>for the Good Shepherd Services, and I do want to

0:30:28.520 --> 0:30:31.080
<v Speaker 1>shout out the winners. The winner winner. The first place

0:30:31.120 --> 0:30:35.520
<v Speaker 1>team was Reagan Voke three thousand, which was like the pressure.

0:30:35.560 --> 0:30:37.960
<v Speaker 1>He says, it's a privately funded team. It's like a

0:30:38.000 --> 0:30:39.959
<v Speaker 1>little interesting thing here, which is that you know, it's

0:30:40.040 --> 0:30:42.000
<v Speaker 1>forty two thousand dollars for a team. A lot of

0:30:42.080 --> 0:30:45.080
<v Speaker 1>like financial firms sponsor one or more teams from the firm.

0:30:45.920 --> 0:30:50.480
<v Speaker 1>A lot of other financial firms have their well played

0:30:50.480 --> 0:30:55.640
<v Speaker 1>employees just privately sponsored themselves. And so Reagan Voked three thousand.

0:30:55.680 --> 0:30:58.080
<v Speaker 1>The winning team was privately funded, So I wasn't officially

0:30:58.120 --> 0:31:00.800
<v Speaker 1>sponsored by a firm, but I've heard it was some

0:31:00.960 --> 0:31:02.000
<v Speaker 1>number of Jan's treat people.

0:31:02.160 --> 0:31:02.600
<v Speaker 2>Interesting.

0:31:03.160 --> 0:31:05.840
<v Speaker 1>Second place team was sponsored by Citadel Securities Wow, and

0:31:06.040 --> 0:31:08.680
<v Speaker 1>was called Citadel Insecurities, which is a great team names.

0:31:08.920 --> 0:31:10.880
<v Speaker 1>And then the third place team, Midnight Marauders. I know

0:31:10.880 --> 0:31:15.400
<v Speaker 1>they're privately funded team. Anyway, congratulations on all your success.

0:31:15.920 --> 0:31:21.400
<v Speaker 1>You did it, and that was the Money Stuff Podcast.

0:31:21.720 --> 0:31:23.800
<v Speaker 2>I'm Matt Levine and I'm Katie Greifeld.

0:31:24.080 --> 0:31:26.200
<v Speaker 1>You can find my work by subscribing to The Money

0:31:26.240 --> 0:31:28.360
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0:31:34.720 --> 0:31:36.760
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0:31:48.680 --> 0:31:51.560
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0:31:51.640 --> 0:31:52.920
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0:31:55.760 --> 0:31:58.520
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0:32:01.200 --> 0:32:03.640
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