WEBVTT - One Big Blob of Elon

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Okay, it's the last

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<v Speaker 1>DAP school.

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<v Speaker 2>I know. I saw on your Instagram.

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<v Speaker 1>It was just of course, so that's the school for

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<v Speaker 1>my children. And I've lived, you know, much of my

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<v Speaker 1>adult life no longer and like the rhythms of the

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<v Speaker 1>school year. But like then you have kids and you're like,

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<v Speaker 1>why am I not on summer vacation. It just feels

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<v Speaker 1>like it's summer vacation.

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<v Speaker 2>Now they're gonna wake up tomorrow and what are they

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<v Speaker 2>going to do?

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<v Speaker 1>To the pool? Watch TV, watch the World Cup. Watching

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<v Speaker 1>so much World Cup.

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<v Speaker 2>That sounds so fun, but you haven't watched any World Cup.

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<v Speaker 1>Oh my gosh, it's so good.

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<v Speaker 2>Apparently the ratings are pretty good.

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<v Speaker 1>It's great, Like it's it's been a good World Cup.

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<v Speaker 1>And dang, I think I complained to you last week

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<v Speaker 1>that like I think the USA placed tonight at.

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<v Speaker 2>Ten o'clock, Like that's that's what happening.

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<v Speaker 1>I prefer like a European World Cup where like I

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<v Speaker 1>can watch all the games during the day. But it's

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<v Speaker 1>been really good. It's been really fun to watch the kids,

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<v Speaker 1>and I really feel like it is time for my

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<v Speaker 1>summer vacation and I'll see you and I'll see you.

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<v Speaker 2>And yeah, I mean i'll see you next week.

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<v Speaker 1>Yeah, if I were taking a vacation a lot of time, because.

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<v Speaker 2>You're that's true, a sabbatical of sorts, of a child

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<v Speaker 2>bearing sabbatical, to be clearly. Yeah, I plan to have

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<v Speaker 2>a great time.

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<v Speaker 1>Everyone everyone plans that.

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<v Speaker 3>Yeah.

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<v Speaker 2>I know, as someone who's never had a baby before,

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<v Speaker 2>I think I'm going to have a fanta time. It

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<v Speaker 2>seems easy. I mean one seems easy, right as a

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<v Speaker 2>parent of multiples. I don't know if I've talked about

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<v Speaker 2>it on this podcast, but I really have just been

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<v Speaker 2>approaching it like I'm getting a new puppy. I don't

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<v Speaker 2>know how to take care of a human, but I

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<v Speaker 2>can do a small animal.

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<v Speaker 1>I mean, look, obviously it's not like getting a new puppy,

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<v Speaker 1>but there's some continuum.

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<v Speaker 2>Yeah, I mean, she can't talk, she can't really do much.

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<v Speaker 2>She's like a little forest creature, right right.

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<v Speaker 1>I feel like it's very possible that your child would

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<v Speaker 1>turn into a little forest creature.

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<v Speaker 2>I hope. So I'm really excited.

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<v Speaker 1>In a month or so, you'll know, like or be pregnant.

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<v Speaker 1>But like, yeah, we won't be like that was a

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<v Speaker 1>weird dream.

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<v Speaker 2>Then the party really start anyway, I guess we should

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<v Speaker 2>do the podcast.

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<v Speaker 1>Hello and welcome to the Money Stuff Podcast, your weekly

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<v Speaker 1>podcast where we talk about stuff related to money. I'm

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<v Speaker 1>Matt Levine and I write The Money Stuff com for

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<v Speaker 1>Bloomberg Opinion.

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<v Speaker 2>And I'm Katie Greifeld, 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>We almost had a vacation from SpaceX last week. I

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<v Speaker 1>feel like we snuck in a little SpaceX.

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<v Speaker 2>Yeah, I mean you have to.

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<v Speaker 1>Write hardly a noticeable amount of SpaceX.

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<v Speaker 2>And now we're going to talk about SpaceX a.

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<v Speaker 1>Lot, well a medium that way too much a good amount. Yeah,

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<v Speaker 1>like a segment of the show, did you know it's

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<v Speaker 1>below two trillion dollars today? Or it was as of

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<v Speaker 1>like one thirty or something.

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<v Speaker 2>Yeah, it's been interesting to see the back and forth

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<v Speaker 2>in these shares. I mean, who knows. I mean as

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<v Speaker 2>someone who watches lines all day, yeah, talks about them

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<v Speaker 2>for a.

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<v Speaker 1>Living, right, I did sort of like you know, you

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<v Speaker 1>have an ipo then like it's supposed to go up

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<v Speaker 1>from there, and like this one has gotten up a

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<v Speaker 1>little and now it's kind of done. It's not below

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<v Speaker 1>the IPO price, but it's below like the first day,

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<v Speaker 1>you know, closing price.

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<v Speaker 2>Yeah, big time. I mean the IPO price is like

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<v Speaker 2>one hundred and thirty.

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<v Speaker 1>Five dollars fifty Thursday afternoon.

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<v Speaker 2>Yeah, who knows what it'll be when we published this podcast.

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<v Speaker 2>But there was a good thought experiment in the New

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<v Speaker 2>York Times this.

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<v Speaker 1>Week about SpaceX and Tesla merging big times. I don't

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<v Speaker 1>think that's a New York Times thought exper No, I've

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<v Speaker 1>seen that everywhere, and I don't want to say that

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<v Speaker 1>like it was planted by SpaceX, but I do feel

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<v Speaker 1>a little bit like they are dusting the waters for

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<v Speaker 1>like that's the next thing that's going to happen the president.

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<v Speaker 2>She's not the CEO. She was on CNBC on IPO

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<v Speaker 2>Day talking about it.

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<v Speaker 3>So there's no question that there's synergies between Tesla and

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<v Speaker 3>SpaceX and our futures. Definitely, there's a convergence of kind

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<v Speaker 3>of what we're all trying to accomplish in the future.

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<v Speaker 2>That's our next president, Yeah, pretty much. It is really crazy.

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<v Speaker 2>What are they waiting for?

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<v Speaker 1>I think in general, if you work for Elon Musk,

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<v Speaker 1>that need to like sleep and live a nice life

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<v Speaker 1>as not you know, no one cares.

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<v Speaker 2>But yeah, they did just do it. That's true.

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<v Speaker 1>But just a minute ago.

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<v Speaker 2>It's just funny because we're going to talk about this

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<v Speaker 2>until it happens, and it.

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<v Speaker 1>Feels like it's going to happen. Yeah, I feel like

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<v Speaker 1>six months ago people were talking about this as a

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<v Speaker 1>joke and now it's like, yep, that'll be next week.

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<v Speaker 2>Well I feel like six months ago. I mean, who

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<v Speaker 2>knows how fuzzy my timeline is, but the idea of

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<v Speaker 2>them ipoing was still a who knows.

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<v Speaker 1>I guess that's right. Yes, it was not fast. Yeah,

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<v Speaker 1>they move on the merger thing. I mean, one answer

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<v Speaker 1>to the question what are they waiting for is like,

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<v Speaker 1>presumably a merger means an all stock merger because no

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<v Speaker 1>one's gonna buy it. It's Tesla for cash. But like

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<v Speaker 1>one answer that question might be that if SpaceX went

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<v Speaker 1>public and its evaluation quickly rose to like, you know,

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<v Speaker 1>four trillion dollars, then I think that would be more

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<v Speaker 1>convenient for Musk. Like I think from Elon Musk's perspective,

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<v Speaker 1>the more SpaceX is worth relative to Tesla, the better

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<v Speaker 1>this is because he owns more of SpaceX, you know, yeah,

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<v Speaker 1>and SpaceX is kind of the new baby, and so

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<v Speaker 1>the more that like SpaceX is represented in the combined company,

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<v Speaker 1>like probably that's more convenient for him. I don't know

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<v Speaker 1>how much that matters, because he has super voting stock

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<v Speaker 1>of SpaceX, and like he doesn't necessarily care that much

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<v Speaker 1>about the charlder, so like it's probably fine to merge them.

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<v Speaker 1>You know. Right now, SpaceX weth like two trillion dollars

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<v Speaker 1>and Tesla's worth like one point four trillion dollars, so

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<v Speaker 1>like almost a merger of equals, Like that's fine for him,

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<v Speaker 1>But it would have been probably a little bit nicer

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<v Speaker 1>if it was like, you know, three to one or something.

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<v Speaker 2>So that's the Elon Musk perspective.

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<v Speaker 1>Oh, which is the only person.

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<v Speaker 3>Well.

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<v Speaker 2>The New York Times did include some quotes from Tasha Kini.

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<v Speaker 2>She's at ARC Investment Management, which obviously really likes Elon Musk.

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<v Speaker 2>She made the point that ARC would prefer the merger

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<v Speaker 2>took place after Tesla had become the dominant company in

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<v Speaker 2>self driving taxis. She said it would be good for

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<v Speaker 2>shareholders to see that take off before the merger. Theoretically,

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<v Speaker 2>because I and she didn't say this, but I'm assuming

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<v Speaker 2>because Tesla shares would be worth more.

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<v Speaker 1>Yeah, I mean, like one thing that's going to happen

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<v Speaker 1>is like SpaceX will do it's business, Tesla will do

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<v Speaker 1>it's business. You know, ideally they would both go up, right,

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<v Speaker 1>But one question you might have is like, in the

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<v Speaker 1>next few months, a few years, whatever, will SpaceX go

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<v Speaker 1>up more than Tesla? Will it become more valuable faster

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<v Speaker 1>or slower than Tesla? Not the answer, But doesn't it

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<v Speaker 1>feel like Elon Musk's attention and the world's attention is

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<v Speaker 1>on SpaceX and data centers, AI and whatever, and not

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<v Speaker 1>so much on the cars. Now there's AI stuff at

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<v Speaker 1>Tesla there, they're making the robots, they're making the cars,

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<v Speaker 1>all sorts of stuff, right, and so in you know,

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<v Speaker 1>in a year, like could this have reversed? Then could

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<v Speaker 1>Tesla be the hot company because it's the human ide robots. Maybe?

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<v Speaker 1>But doesn't it kind of feel like his attention on

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<v Speaker 1>SpaceX now and like the longer you wait, the verse

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<v Speaker 1>it is for Tesla. Yeah, this is just a cosma.

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<v Speaker 2>Yeah, No, it's a good point. He's always been the

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<v Speaker 2>CEO of multiple companies, et cetera, et cetera. But it

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<v Speaker 2>does feel like there's a clear favorite in his mind

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<v Speaker 2>right now.

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<v Speaker 1>Yeah. The only thing is that like Grock, but Crock is.

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<v Speaker 2>That's also yes, how do I keep forgetting that that

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<v Speaker 2>it's understandable X is XAI, which is, yeah, that's what

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<v Speaker 2>it says.

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<v Speaker 1>The other other thing is like I've gotten used for

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<v Speaker 1>a long time to this model of Elon Musk of

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<v Speaker 1>like he has a bunch of different companies and a

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<v Speaker 1>bunch of different independent bats and he's somehow multitasking between

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<v Speaker 1>all of them. But like that is changing, right, I mean,

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<v Speaker 1>like he had Twitter and an AI company and a

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<v Speaker 1>space company and now they're all one company. And then

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<v Speaker 1>you know, you combine that with his car company, which

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<v Speaker 1>is also like a separate solar company that he mushed

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<v Speaker 1>into Tesla years ago, then like basically all of his

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<v Speaker 1>scaled commercial stuff would be in one giant company, which

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<v Speaker 1>is a real change from how he's been operating and

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<v Speaker 1>also makes me wonder about like Neuralink and the boring

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<v Speaker 1>company could be the only ones left probably missing one,

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<v Speaker 1>but like I think those are the only big Elon

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<v Speaker 1>Musk companies that would not be rolled up into this

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<v Speaker 1>and so how long beforeror Neuralink gets folded into the

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<v Speaker 1>AI behemoth. It's all change from back in the day.

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<v Speaker 1>I had like a whole shpiel about like how Elon Musk,

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<v Speaker 1>by keeping all of his businesses in separate bets, was

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<v Speaker 1>somehow doing this like seven dimensional chess mastermind fundraising thing

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<v Speaker 1>where he could tap the same investors for every company

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<v Speaker 1>and like shift resources around without the constraints of running

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<v Speaker 1>a public company. But like now it's just like, yeah,

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<v Speaker 1>he's going to run a giant company, and that giant

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<v Speaker 1>company will be a conglomerate, and he will allocate capital

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<v Speaker 1>to whatever he thinks is the best business to have

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<v Speaker 1>that capital, whether it's cars or humanoid robots, or space

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<v Speaker 1>data centers or social media, yeah, ninos other things.

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<v Speaker 2>When you put it like that, it is a sea change.

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<v Speaker 1>Yeah, it's just like in many ways more.

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<v Speaker 2>Normal, right, Like maybe he got tired. I don't know, that.

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<v Speaker 1>Doesn't sound right given my general theory that sleep is

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<v Speaker 1>not an impediment to doing anything in SpaceX. But yeah,

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<v Speaker 1>it is more sensible, Yeah, to have one guy running

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<v Speaker 1>one company or other than seven different companies.

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<v Speaker 2>And one guy seven company.

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<v Speaker 1>You know, every time he's like moving GPUs from Tesla

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<v Speaker 1>to Xai or whatever dopes like me or writing columns

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<v Speaker 1>being like you shouldn't be doing that, Like very good

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<v Speaker 1>corporate governance, Like now it's fixed, right, if they're all

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<v Speaker 1>one company, it's great corporate governance for him to move.

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<v Speaker 2>Yeah, I want to talk a little bit about what

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<v Speaker 2>could stop this merger. It's not going to be a

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<v Speaker 2>shareholder lawsuit.

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<v Speaker 1>Although I've written about like it's like a slim outside

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<v Speaker 1>path to maybe a shareholder.

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<v Speaker 2>Maybe Vanguard, maybe Fidelity. No, probably not. But the New

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<v Speaker 2>York Times did raise the question, which it then batted down.

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<v Speaker 2>But couldn't there be some sort of antitrust concern here

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<v Speaker 2>that could be raised? They're both AI companies.

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<v Speaker 1>I feel like in traditional anti trust you would say

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<v Speaker 1>not really. I don't think that SpaceX is exactly in

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<v Speaker 1>a real market power position in the sort of broad

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<v Speaker 1>like AI lab business, and like it has a very

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<v Speaker 1>leading position in launching rockets into space for sure, and Tesla,

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<v Speaker 1>you know, arguably it's something in electric cars in the US,

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<v Speaker 1>it's not you know, it's not a monopolist and electric cars,

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<v Speaker 1>but like those are not overlapping businesses, right, Like the

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<v Speaker 1>question is like are you combining to overlapping businesses in

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<v Speaker 1>the same area. And I don't really think that's true.

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<v Speaker 1>I think there's like beginning to be some rumblings of

0:11:22.240 --> 0:11:26.280
<v Speaker 1>worry about like space access position and AI infrastructure, like

0:11:26.360 --> 0:11:28.640
<v Speaker 1>especially they put the data centers in space, but like

0:11:28.720 --> 0:11:30.920
<v Speaker 1>that doesn't really seem like an anti trust concern for

0:11:30.960 --> 0:11:33.840
<v Speaker 1>combining the companies. But like, I think if this were

0:11:33.960 --> 0:11:38.080
<v Speaker 1>a democratic administration, the combination of like two giant tech

0:11:38.200 --> 0:11:41.400
<v Speaker 1>companies merging and like it being Elon Musk might raise

0:11:41.880 --> 0:11:46.079
<v Speaker 1>anti trust concerns. But guess what, Yeah, so I don't

0:11:46.440 --> 0:11:49.240
<v Speaker 1>see it. But you know, if Donald Trump is mad

0:11:49.240 --> 0:11:51.200
<v Speaker 1>at Elon Musk that week, will there be an antro

0:11:51.240 --> 0:11:54.280
<v Speaker 1>trust problem? Like maybe, and then like European.

0:11:53.880 --> 0:11:55.800
<v Speaker 2>Anti trust you know, yeah, they're going to be all

0:11:55.880 --> 0:11:56.200
<v Speaker 2>over it.

0:11:56.400 --> 0:12:00.160
<v Speaker 1>They'll be all over it. He's not winning any friends there.

0:12:00.200 --> 0:12:03.280
<v Speaker 1>And again, like a traditional anti dress analysis, like it

0:12:03.320 --> 0:12:07.160
<v Speaker 1>doesn't seem like they're really emerging competing businesses, but who knows.

0:12:07.320 --> 0:12:10.080
<v Speaker 2>I did want to also call out this nugget from

0:12:10.080 --> 0:12:12.080
<v Speaker 2>the New York Times report because I didn't appreciate this.

0:12:12.160 --> 0:12:16.640
<v Speaker 2>I knew about terrorfab so SpaceX and Tesla plan to

0:12:16.679 --> 0:12:20.880
<v Speaker 2>jointly produce AI chips at a proposed factory called TERRAFAB

0:12:21.080 --> 0:12:25.840
<v Speaker 2>also develop AI software through another project called macro Hard,

0:12:25.920 --> 0:12:29.280
<v Speaker 2>which is obviously the opposite of Microsoft.

0:12:30.600 --> 0:12:32.760
<v Speaker 1>I think he's been making that joke for years.

0:12:32.760 --> 0:12:38.000
<v Speaker 2>Sounds stupid, I mean it's funny. It is funny. I

0:12:38.040 --> 0:12:40.600
<v Speaker 2>didn't know about what I didn't know about macro Hard.

0:12:42.040 --> 0:12:45.760
<v Speaker 1>I hate to give him one, but yeah, macro Hard,

0:12:47.080 --> 0:12:48.400
<v Speaker 1>nodding wistfully.

0:12:50.280 --> 0:12:52.120
<v Speaker 2>Oh, do you want to talk about Triller?

0:12:52.360 --> 0:12:54.280
<v Speaker 1>Triller? Yeah? I do kind of want to talk about Trailler.

0:12:54.440 --> 0:12:57.320
<v Speaker 2>So I went to your bio just before this podcast

0:12:57.320 --> 0:12:58.679
<v Speaker 2>because I was like, all right, I have all my notes.

0:12:58.840 --> 0:13:02.400
<v Speaker 2>Christmas guy again, matt Levine. No, I was like, I

0:13:02.400 --> 0:13:04.120
<v Speaker 2>have all my notes. I just want to check one

0:13:04.120 --> 0:13:06.840
<v Speaker 2>more thing. And then I saw you published about the

0:13:06.880 --> 0:13:08.240
<v Speaker 2>SpaceX Treasury.

0:13:07.880 --> 0:13:09.559
<v Speaker 1>Company treasury company. Baby.

0:13:09.679 --> 0:13:12.600
<v Speaker 2>I audibly growned because I had completely forgotten about it. Yeah,

0:13:12.760 --> 0:13:13.720
<v Speaker 2>but tell me about Triller.

0:13:13.760 --> 0:13:17.760
<v Speaker 1>There's a SpaceX Treasury company, of course, called Triller. Yeah, yesterday,

0:13:17.800 --> 0:13:20.760
<v Speaker 1>it's a fifteen million dollar market cap. It's like it's

0:13:20.800 --> 0:13:23.400
<v Speaker 1>like one of these things where they're like, we provide

0:13:23.440 --> 0:13:26.199
<v Speaker 1>social media stuff for such celebrities as and then it

0:13:26.280 --> 0:13:29.400
<v Speaker 1>names three people who I'm like, yes, these people are

0:13:29.480 --> 0:13:33.240
<v Speaker 1>all actually famous, but I don't know anything about them,

0:13:33.480 --> 0:13:36.200
<v Speaker 1>nor do I remember their names. No, they do like

0:13:36.240 --> 0:13:38.880
<v Speaker 1>some something in social media. And also they sell insurance

0:13:38.920 --> 0:13:39.559
<v Speaker 1>in Hong Kong.

0:13:39.880 --> 0:13:42.560
<v Speaker 2>Why who knows natural But so.

0:13:42.559 --> 0:13:46.599
<v Speaker 1>A teeny company, teeny public lesi company, and they announced

0:13:46.640 --> 0:13:51.200
<v Speaker 1>that they are acquiring a four hundred million dollar slug

0:13:51.240 --> 0:13:55.440
<v Speaker 1>of SpaceX through like three layers of SPVs, so like

0:13:55.480 --> 0:13:58.959
<v Speaker 1>they're acquiring shares in an SPV that on shares in

0:13:59.000 --> 0:14:01.720
<v Speaker 1>an SPV that owns some like pre appo locked up

0:14:01.760 --> 0:14:06.160
<v Speaker 1>SpaceX stock excellent, yes, and they're like, this will be

0:14:06.200 --> 0:14:10.240
<v Speaker 1>a fun new treasury asset for US. Okay, it's like

0:14:10.280 --> 0:14:12.920
<v Speaker 1>the digital asset treasury trade, which you know, at its

0:14:12.960 --> 0:14:14.920
<v Speaker 1>peak last year. I was like, we talked.

0:14:14.720 --> 0:14:15.880
<v Speaker 2>About this definitely.

0:14:16.040 --> 0:14:19.320
<v Speaker 1>I was like, sure, you can like sell some stock

0:14:19.400 --> 0:14:21.480
<v Speaker 1>to buy bitcoin, but like, there's so many other things

0:14:21.480 --> 0:14:24.080
<v Speaker 1>in the world besides bitcoin. Someone did a game stop treasure.

0:14:24.120 --> 0:14:27.000
<v Speaker 1>We talked about an art market treasure all sorts of stuff.

0:14:27.040 --> 0:14:29.720
<v Speaker 1>Dinosaur bone, dinosaur bone treasury company. That was the title

0:14:29.720 --> 0:14:34.520
<v Speaker 1>of an episode. And right, so instead of a dinosaur

0:14:34.600 --> 0:14:37.800
<v Speaker 1>bone treasury company, they're doing a SpaceX treasury company. I

0:14:37.840 --> 0:14:38.160
<v Speaker 1>love it.

0:14:38.280 --> 0:14:40.800
<v Speaker 2>As you've already pointed out, they're at least a year

0:14:40.880 --> 0:14:42.880
<v Speaker 2>late here, they're a year late.

0:14:42.760 --> 0:14:46.280
<v Speaker 1>To the Dinosaur Bone treasury company trade. And also they're

0:14:46.360 --> 0:14:50.560
<v Speaker 1>late to ooh, would you like access to SpaceX stock

0:14:50.640 --> 0:14:52.720
<v Speaker 1>because you can just buy SpaceX.

0:14:52.160 --> 0:14:54.320
<v Speaker 2>Stock seems easy.

0:14:54.400 --> 0:14:57.000
<v Speaker 1>It's like not a very good reason, but a reason

0:14:57.040 --> 0:14:58.840
<v Speaker 1>to have a bitcoin treasury company is that, like it

0:14:58.920 --> 0:15:02.320
<v Speaker 1>is somewhat more difficult for a normal person to buy

0:15:02.400 --> 0:15:05.000
<v Speaker 1>bitcoin than it is for a normal person to buy

0:15:05.520 --> 0:15:08.040
<v Speaker 1>stock of strategy, Like not really you can buy bitcoin.

0:15:08.080 --> 0:15:09.600
<v Speaker 1>You're robbing it app. But like maybe you don't have

0:15:09.680 --> 0:15:13.160
<v Speaker 1>robbing It. Maybe maybe you had an old timey record

0:15:13.160 --> 0:15:15.480
<v Speaker 1>where you can only buy stock and you're like, oh yeah, strategy,

0:15:15.480 --> 0:15:17.720
<v Speaker 1>that's a good way to get bitcoin. But like anyone

0:15:17.760 --> 0:15:21.000
<v Speaker 1>who can buy Triller can buy SpaceX because they're on

0:15:21.040 --> 0:15:22.240
<v Speaker 1>the same stock exchange.

0:15:22.320 --> 0:15:26.680
<v Speaker 2>Yes, well, it will be a fun experiment. It's a

0:15:26.720 --> 0:15:43.720
<v Speaker 2>line I'll watch when on All, right, do we get

0:15:43.720 --> 0:15:50.160
<v Speaker 2>this SpaceX out of our system? Meta Meta? Another New

0:15:50.280 --> 0:15:54.680
<v Speaker 2>York Times article, Mark Zuckerberg, Now he's looking at prediction markets,

0:15:55.800 --> 0:15:58.840
<v Speaker 2>specifically an app. There wouldn't be real money.

0:15:58.640 --> 0:16:01.760
<v Speaker 1>Involved, right, I think it's called arena that has been

0:16:01.800 --> 0:16:06.320
<v Speaker 1>reported from meta slash Facebook that allows you to do

0:16:06.520 --> 0:16:09.120
<v Speaker 1>prediction markets, and I think the way it's supposed to

0:16:09.160 --> 0:16:12.520
<v Speaker 1>work is like from NPR reporting, is that AI would

0:16:12.560 --> 0:16:15.360
<v Speaker 1>come up with the markets and then also resolve the markets.

0:16:15.560 --> 0:16:18.400
<v Speaker 1>Some meta AI model would be like, you know what

0:16:18.440 --> 0:16:20.960
<v Speaker 1>we need as a prediction market on you know, Vner

0:16:21.080 --> 0:16:24.400
<v Speaker 1>Taylor Slip get married and then here are the options

0:16:24.440 --> 0:16:26.760
<v Speaker 1>and then like it'll take bets and then like it'll

0:16:26.800 --> 0:16:29.200
<v Speaker 1>notice when she gets married and resolved bets or something

0:16:29.280 --> 0:16:29.600
<v Speaker 1>like that.

0:16:29.680 --> 0:16:30.000
<v Speaker 2>Fun.

0:16:30.200 --> 0:16:33.400
<v Speaker 1>Yeah, So when you think about like Calshier poly market,

0:16:33.520 --> 0:16:35.920
<v Speaker 1>like they're like, we're you know, building truth machines. We're

0:16:35.920 --> 0:16:39.320
<v Speaker 1>building a financial market that real world companies can use

0:16:39.360 --> 0:16:41.800
<v Speaker 1>the hedge their risk of things like you know, the

0:16:41.840 --> 0:16:42.560
<v Speaker 1>next winning.

0:16:42.360 --> 0:16:46.320
<v Speaker 2>A playoff game with a very straight But then like.

0:16:46.320 --> 0:16:49.400
<v Speaker 1>The alternative model is like you have built a gambling platform.

0:16:49.560 --> 0:16:52.440
<v Speaker 1>What is gambling? Gambling is providing entertainment for money, right,

0:16:52.440 --> 0:16:55.840
<v Speaker 1>It's like, yeah, it's like giving people like the rush

0:16:55.960 --> 0:16:58.720
<v Speaker 1>of excitement from betting on a game, and like in expectation,

0:16:58.760 --> 0:17:03.200
<v Speaker 1>they lose money. But I've gone to Vegas and gambled

0:17:03.320 --> 0:17:06.440
<v Speaker 1>and felt and lost money and felt fine because I

0:17:06.480 --> 0:17:09.840
<v Speaker 1>was like, I'm spending this money on entertainment, right, and

0:17:09.880 --> 0:17:13.760
<v Speaker 1>that's like that's the good case for gambling. And if

0:17:13.760 --> 0:17:15.560
<v Speaker 1>that's your model, then it's like, well yeah, like if

0:17:15.600 --> 0:17:17.800
<v Speaker 1>it's entertaining, maybe you can do it without the money.

0:17:18.320 --> 0:17:24.879
<v Speaker 1>And Facebook are really good at harnessing human behavior to

0:17:25.119 --> 0:17:28.680
<v Speaker 1>like give people dopamine heads in exchange for spending all

0:17:28.680 --> 0:17:31.639
<v Speaker 1>of their time on Facebook's apps, and like that's what

0:17:31.680 --> 0:17:34.200
<v Speaker 1>this is, right, That's why Calshei and polymarket have proved

0:17:34.200 --> 0:17:37.440
<v Speaker 1>out a new form of human social behavior that keeps

0:17:37.480 --> 0:17:39.199
<v Speaker 1>them glued to their apps all the time. And like,

0:17:39.200 --> 0:17:40.840
<v Speaker 1>we want them to be glued to ara apps, so

0:17:40.840 --> 0:17:42.720
<v Speaker 1>we're gonna launch an app that they'll be glued to,

0:17:43.040 --> 0:17:44.119
<v Speaker 1>you know, making predictions.

0:17:44.440 --> 0:17:47.000
<v Speaker 2>It is a smart move by Meta.

0:17:47.119 --> 0:17:48.760
<v Speaker 1>It's quite grim in some ways.

0:17:48.840 --> 0:17:50.760
<v Speaker 2>I mean for sure, I mean, like it better.

0:17:50.600 --> 0:17:52.840
<v Speaker 1>To have fake money gambling than real money gambling. But

0:17:52.880 --> 0:17:53.359
<v Speaker 1>like I don't know.

0:17:54.240 --> 0:17:56.800
<v Speaker 2>The company is not ruled out eventual use of money

0:17:56.840 --> 0:17:58.840
<v Speaker 2>according to the New Time, so that could be coming.

0:17:59.320 --> 0:18:03.200
<v Speaker 2>I do like how how you wrote that Zuckerberg's point

0:18:03.240 --> 0:18:05.840
<v Speaker 2>that this could be all thought of as addictive phone

0:18:05.880 --> 0:18:10.919
<v Speaker 2>apps rather than financial instruments is true. Like again, like

0:18:11.080 --> 0:18:13.399
<v Speaker 2>Calci and Polymarket will tell you with a straight face

0:18:13.440 --> 0:18:16.960
<v Speaker 2>that you know we're creating or we're helping to find

0:18:17.040 --> 0:18:21.199
<v Speaker 2>true economic information here, but it does feel like a

0:18:21.240 --> 0:18:24.919
<v Speaker 2>sort of emperor has no close moment of Facebook is

0:18:24.960 --> 0:18:26.359
<v Speaker 2>creating a prediction markets app.

0:18:26.480 --> 0:18:28.800
<v Speaker 1>Yeah, a couple of things. One, everything's on a continuum, right,

0:18:28.800 --> 0:18:32.800
<v Speaker 1>I mean, Robinhood. Their essential insight is stock trading is

0:18:32.800 --> 0:18:35.200
<v Speaker 1>also like an addictive phone behavior, and so we can

0:18:35.200 --> 0:18:37.160
<v Speaker 1>make it more addictive and more on your phone. True,

0:18:37.400 --> 0:18:40.040
<v Speaker 1>everything is both right. The other thing I'll say is

0:18:40.080 --> 0:18:44.520
<v Speaker 1>like the fact that Meta is in essentially the addictive

0:18:44.520 --> 0:18:48.160
<v Speaker 1>phone apps business and looks at this and has big

0:18:48.200 --> 0:18:50.000
<v Speaker 1>dollar signs in its thighs of like, ooh, this is

0:18:50.040 --> 0:18:52.280
<v Speaker 1>an addictive phone app. That doesn't mean that it's not

0:18:52.440 --> 0:18:54.720
<v Speaker 1>also serving some truth seeking function.

0:18:55.080 --> 0:18:58.240
<v Speaker 2>Maybe maybe just thinking about Farmville, you know, which was

0:18:59.280 --> 0:19:00.840
<v Speaker 2>another face book app that I.

0:19:00.760 --> 0:19:02.640
<v Speaker 1>Loved, right and Farmville.

0:19:03.240 --> 0:19:05.080
<v Speaker 2>I don't know if there was any truth seeking going

0:19:05.080 --> 0:19:06.920
<v Speaker 2>on in the hours I spent on Farmville.

0:19:06.960 --> 0:19:09.320
<v Speaker 1>Well, I hear you, But like, also I'm reading the

0:19:09.359 --> 0:19:13.560
<v Speaker 1>Sebastian Malaby biography of Demi Sasabis. The Google Deep Mind

0:19:13.560 --> 0:19:17.840
<v Speaker 1>Fighter and deep Mind spent a lot of time trying

0:19:17.880 --> 0:19:21.960
<v Speaker 1>to solve games like early Atari, arcade games and StarCraft,

0:19:22.119 --> 0:19:26.040
<v Speaker 1>all these like video games because and the reason they

0:19:26.040 --> 0:19:28.240
<v Speaker 1>were doing that is partly because like they're gamers and

0:19:28.240 --> 0:19:32.159
<v Speaker 1>they like video games, but partly it was like the

0:19:32.200 --> 0:19:35.719
<v Speaker 1>way to develop and also prove the concept of like

0:19:36.119 --> 0:19:39.840
<v Speaker 1>reinforcement learning machine artificial intelligence is to have it learned

0:19:39.840 --> 0:19:41.960
<v Speaker 1>to play games at better than human standard, and so

0:19:42.359 --> 0:19:44.800
<v Speaker 1>there's like real lessons to be learned from those games.

0:19:45.200 --> 0:19:48.480
<v Speaker 1>That's probably not true of Farmville, but I do think

0:19:48.520 --> 0:19:51.240
<v Speaker 1>that one thing that is probably going on, and Berne

0:19:51.240 --> 0:19:54.000
<v Speaker 1>Hobart has a good newsletter about it on Thursday of

0:19:54.040 --> 0:19:58.720
<v Speaker 1>this week is Meta is one an addictive phone app

0:19:58.760 --> 0:20:03.640
<v Speaker 1>company and two AI company, and prediction markets in AI

0:20:03.720 --> 0:20:07.240
<v Speaker 1>are pretty interesting. Wen't have our rights. Prediction markets try

0:20:07.240 --> 0:20:10.000
<v Speaker 1>to quantify the magnitude of interesting uncertainty. That means they're

0:20:10.000 --> 0:20:12.119
<v Speaker 1>implicitly taking the same form as the input to an

0:20:12.119 --> 0:20:15.199
<v Speaker 1>AI model, given some information, make a prediction about what

0:20:15.280 --> 0:20:17.960
<v Speaker 1>comes next. And so, like other people have talked to

0:20:17.960 --> 0:20:22.359
<v Speaker 1>me about this, like using prediction markets to train AI

0:20:22.560 --> 0:20:25.080
<v Speaker 1>is just sort of like an interesting corner of the world.

0:20:25.119 --> 0:20:28.480
<v Speaker 1>It's like, we want to make computers that are good

0:20:28.560 --> 0:20:32.360
<v Speaker 1>at understanding the world. We want to make computers that

0:20:32.640 --> 0:20:34.040
<v Speaker 1>can buy stocks that I'll go up. We want to

0:20:34.040 --> 0:20:39.080
<v Speaker 1>make computers that can cure cancer whatever. Like if the

0:20:39.080 --> 0:20:42.040
<v Speaker 1>computers get better at like predicting the future based on

0:20:42.680 --> 0:20:45.720
<v Speaker 1>the current data, like that is good for artificial intelligence.

0:20:46.000 --> 0:20:48.000
<v Speaker 1>And maybe one way to give them training data is

0:20:48.040 --> 0:20:51.479
<v Speaker 1>to have a bunch of Facebook people on their phone saying,

0:20:51.560 --> 0:20:53.040
<v Speaker 1>you know, this is where I think Taylor shots will

0:20:53.040 --> 0:20:55.080
<v Speaker 1>get married, and like the computers will learn from that.

0:20:55.119 --> 0:20:57.600
<v Speaker 1>So like one possibility is that this is not so

0:20:57.720 --> 0:21:01.440
<v Speaker 1>much a like engagement bait play from Meta and more

0:21:01.480 --> 0:21:04.760
<v Speaker 1>a like AI training play. But it's really both. Yeah,

0:21:05.080 --> 0:21:08.840
<v Speaker 1>Open AI, like four years ago, like their rhetoric was

0:21:08.920 --> 0:21:13.919
<v Speaker 1>so utopian and ambitious, and then they're like, we're going

0:21:14.000 --> 0:21:15.600
<v Speaker 1>to do ads and we're going to turn the dial

0:21:15.640 --> 0:21:17.720
<v Speaker 1>on chat chpt to make it more engaging so that

0:21:17.760 --> 0:21:20.040
<v Speaker 1>people spend more time with chat chpt. It's like everything

0:21:20.040 --> 0:21:22.160
<v Speaker 1>is a social media company. Everything is an addictive phone

0:21:22.160 --> 0:21:24.800
<v Speaker 1>app company, and so like you know, yeah, you make

0:21:24.840 --> 0:21:29.120
<v Speaker 1>your AI better so that you can keep people engaged

0:21:29.160 --> 0:21:30.720
<v Speaker 1>with your app for longer, so you can serve the

0:21:30.760 --> 0:21:31.240
<v Speaker 1>more ads.

0:21:31.440 --> 0:21:41.040
<v Speaker 2>Yeah, it's also grim, even more grim than Arena potentially.

0:21:41.240 --> 0:21:43.919
<v Speaker 2>The New York Times reporting that Arena is just one

0:21:43.960 --> 0:21:46.680
<v Speaker 2>of a handful of apps that Meta is currently trying out.

0:21:46.760 --> 0:21:48.040
<v Speaker 1>The other one is macro hard.

0:21:48.680 --> 0:21:55.640
<v Speaker 2>Macro Hard also Meta photos it photos. Yeah, it would

0:21:55.680 --> 0:21:59.360
<v Speaker 2>create new types of media using AI. According to people

0:21:59.400 --> 0:22:02.520
<v Speaker 2>familiar that, I don't think so.

0:22:03.880 --> 0:22:06.800
<v Speaker 1>Great. It's like Sora, No it's not. I don't care.

0:22:07.320 --> 0:22:08.840
<v Speaker 2>Yeah, no, I think SOA is a thing, but I don't.

0:22:08.880 --> 0:22:10.600
<v Speaker 1>Sorry, it was the open A version of it. Yeah,

0:22:10.960 --> 0:22:12.640
<v Speaker 1>you look at AI videos that we had.

0:22:12.720 --> 0:22:15.840
<v Speaker 2>Made for you, similar to Macrohart. Something that I didn't

0:22:15.880 --> 0:22:18.960
<v Speaker 2>appreciate until the New York Times told me about it

0:22:19.080 --> 0:22:24.159
<v Speaker 2>was Meta has tried prediction markets. They were so early

0:22:24.760 --> 0:22:28.320
<v Speaker 2>twenty twenty they released Forecast, which was a crowdsource prediction

0:22:28.400 --> 0:22:31.000
<v Speaker 2>market app. It prompted people to make guesses about the

0:22:31.000 --> 0:22:34.680
<v Speaker 2>world in the early days of covid. It eventually shut

0:22:34.720 --> 0:22:38.440
<v Speaker 2>down in twenty twenty two. But man, this could have

0:22:38.480 --> 0:22:39.320
<v Speaker 2>been Meta's market.

0:22:39.760 --> 0:22:41.760
<v Speaker 1>Yeah, that wasn't even that early. Like I mean, people

0:22:41.800 --> 0:22:44.320
<v Speaker 1>have been playing around with many prediction markets for a

0:22:44.359 --> 0:22:46.920
<v Speaker 1>long time, but nobody really.

0:22:46.800 --> 0:22:49.840
<v Speaker 2>Similar to AI. Like we've been talking about AI forever,

0:22:49.880 --> 0:22:51.760
<v Speaker 2>but it feels like it only really exploded in the

0:22:51.800 --> 0:22:52.639
<v Speaker 2>last couple of years.

0:22:53.119 --> 0:22:55.360
<v Speaker 1>I do think that, like kylsh and Poling Market, did

0:22:55.400 --> 0:22:57.480
<v Speaker 1>corrareck the good of making it more exciting? And do

0:22:57.520 --> 0:22:58.600
<v Speaker 1>you know how they cracked that good?

0:22:59.080 --> 0:23:03.080
<v Speaker 2>Tell me sports sports? There you go. I do just

0:23:03.080 --> 0:23:05.880
<v Speaker 2>think it makes sense for meta. Good on you, Mark Zuckerberg.

0:23:05.960 --> 0:23:08.840
<v Speaker 2>Maybe it'll work out better than Threads.

0:23:10.400 --> 0:23:13.200
<v Speaker 1>I still look at Threads a lot. Really, I was

0:23:13.240 --> 0:23:14.959
<v Speaker 1>constantly trying to push you to it, and then like

0:23:15.000 --> 0:23:17.800
<v Speaker 1>it's like clean accent and it just serves you a

0:23:17.840 --> 0:23:22.320
<v Speaker 1>series of rage bait and it's just like it's Mark Zuckerberg.

0:23:22.840 --> 0:23:26.280
<v Speaker 1>There's the gap between like what you want to want

0:23:26.680 --> 0:23:29.919
<v Speaker 1>and like your base revealed. The preferences is like the

0:23:29.960 --> 0:23:34.720
<v Speaker 1>world's greatest exploiter of that gap, where like do I

0:23:34.840 --> 0:23:38.359
<v Speaker 1>want to be looking at stuff on threads that makes

0:23:38.359 --> 0:23:40.159
<v Speaker 1>me angry but just because it's stupid?

0:23:40.359 --> 0:23:40.600
<v Speaker 3>Yeah?

0:23:40.840 --> 0:23:43.639
<v Speaker 1>No, do I want that? No? Do I do it? Yes?

0:23:43.800 --> 0:23:47.080
<v Speaker 1>And yet and like you know, is he making billions

0:23:47.080 --> 0:24:06.000
<v Speaker 1>off of that? Probably private credit is to the thing.

0:24:06.320 --> 0:24:09.679
<v Speaker 2>Yeah, there's been a ton of redemption requests. There is

0:24:09.760 --> 0:24:15.199
<v Speaker 2>Morgan Stanley all, Yeah, they're all getting capped at five percent. Yea,

0:24:15.720 --> 0:24:18.240
<v Speaker 2>it seems like that was working is design, Yeah, as

0:24:18.320 --> 0:24:18.800
<v Speaker 2>the signs.

0:24:19.240 --> 0:24:20.800
<v Speaker 1>But yeah, it's like what we talked about with buzz,

0:24:20.800 --> 0:24:24.280
<v Speaker 1>which is that when you gate these or when you

0:24:24.320 --> 0:24:26.960
<v Speaker 1>can't redemption to five percent, you create a backlog in

0:24:27.000 --> 0:24:28.840
<v Speaker 1>the next quarter. People are like, I want want me.

0:24:29.359 --> 0:24:31.399
<v Speaker 1>You have all the redemptions from that quarter plus all

0:24:31.440 --> 0:24:33.240
<v Speaker 1>the like leftover runs in the previous quarter, and it

0:24:33.280 --> 0:24:35.440
<v Speaker 1>keeps snowballing from there. So that's kind of happening.

0:24:35.640 --> 0:24:37.719
<v Speaker 2>Yeah, so this will be a story that's with us

0:24:37.760 --> 0:24:38.320
<v Speaker 2>for some time.

0:24:38.560 --> 0:24:41.879
<v Speaker 1>Yeah, unless like people start being more confident about private

0:24:41.920 --> 0:24:44.840
<v Speaker 1>credit or I don't know, man, I don't know.

0:24:45.240 --> 0:24:49.199
<v Speaker 2>But JP Morgan says, Hey, so you don't like the

0:24:49.240 --> 0:24:52.480
<v Speaker 2>whole quarterly redemption schedule, how about monthly liquidity?

0:24:52.520 --> 0:24:54.720
<v Speaker 1>I love it. First of all, love is a strong word,

0:24:54.800 --> 0:24:55.040
<v Speaker 1>like this.

0:24:55.000 --> 0:24:57.560
<v Speaker 2>Is boring technical, you know, you love it.

0:24:57.720 --> 0:24:58.200
<v Speaker 1>I love it.

0:24:58.520 --> 0:25:00.879
<v Speaker 2>The sec also, I'm I mean, maybe they don't love it,

0:25:00.920 --> 0:25:01.760
<v Speaker 2>but they're okay with it.

0:25:01.800 --> 0:25:03.760
<v Speaker 1>Of course they're okay with it. Like the point is, like,

0:25:03.800 --> 0:25:06.160
<v Speaker 1>there's a rule that says you have to offer quarterly liquidity.

0:25:06.680 --> 0:25:10.040
<v Speaker 1>Jerry Morgan is like, well, monthly liquidity is not quarterly liquidity,

0:25:10.240 --> 0:25:12.919
<v Speaker 1>but it is strictly better than quarterly liquidity. And this

0:25:13.160 --> 0:25:15.399
<v Speaker 1>is like, yes, that's true, it's strictly better. And so

0:25:15.480 --> 0:25:17.280
<v Speaker 1>they like waived the rule to how you can have

0:25:17.400 --> 0:25:18.200
<v Speaker 1>monthly liquidity.

0:25:18.400 --> 0:25:18.800
<v Speaker 2>Yeah.

0:25:18.960 --> 0:25:21.159
<v Speaker 1>What I love about it is like one reason to

0:25:21.200 --> 0:25:24.520
<v Speaker 1>do this is to like give people more liquidity, but

0:25:25.240 --> 0:25:28.000
<v Speaker 1>I think another reason to do it is to actually

0:25:29.119 --> 0:25:31.800
<v Speaker 1>have people demand less liquidity, right, and so, like one

0:25:31.800 --> 0:25:35.480
<v Speaker 1>thing I was thinking is like if you offer quarterly redemptions,

0:25:35.920 --> 0:25:37.880
<v Speaker 1>like that's like a big decision, right, If you don't

0:25:37.880 --> 0:25:39.080
<v Speaker 1>get your money out of this quarter, you have to

0:25:39.080 --> 0:25:40.880
<v Speaker 1>wait a whole quarter for like us to get worse

0:25:40.920 --> 0:25:42.560
<v Speaker 1>before you can get your money out again. But if

0:25:42.560 --> 0:25:46.159
<v Speaker 1>you offered like real time liquidity, then no one has

0:25:46.200 --> 0:25:49.040
<v Speaker 1>any incentive to take money out now because in five

0:25:49.080 --> 0:25:50.960
<v Speaker 1>seconds they can take money out. Right. Yeah, It's like

0:25:51.480 --> 0:25:53.080
<v Speaker 1>monthly is somewhere in between.

0:25:53.320 --> 0:25:56.359
<v Speaker 2>Yeah, perhaps I'm comfortable waiting a month to get my money,

0:25:56.359 --> 0:25:58.280
<v Speaker 2>but I'm not comfortable waiting three months.

0:25:58.520 --> 0:26:01.840
<v Speaker 1>It sounds less dire, you know. Yeah, there was all

0:26:01.880 --> 0:26:05.520
<v Speaker 1>this worry for years, been worry about mutual funds which

0:26:05.520 --> 0:26:09.679
<v Speaker 1>have daily liquidity, and about like the idea that you know,

0:26:09.760 --> 0:26:11.840
<v Speaker 1>if stocks go down or bonds go down or whatever,

0:26:11.920 --> 0:26:14.960
<v Speaker 1>then mutual fund investors will to add all their money back.

0:26:15.640 --> 0:26:17.920
<v Speaker 1>And I was writing for years people are worried about

0:26:17.960 --> 0:26:20.080
<v Speaker 1>bomb market liquidity. That's the one point to me. Like

0:26:20.160 --> 0:26:22.920
<v Speaker 1>John Brooks in the sixties was writing about like there

0:26:22.960 --> 0:26:24.879
<v Speaker 1>was a stock market crash, and everyone's like, oh, no,

0:26:25.320 --> 0:26:28.239
<v Speaker 1>mutual funds, which were like newly invented will sell out

0:26:28.280 --> 0:26:31.320
<v Speaker 1>their stock if there's a crash, And then it was fine. Yeah,

0:26:31.359 --> 0:26:33.040
<v Speaker 1>And I think that like some of that is like

0:26:33.840 --> 0:26:36.720
<v Speaker 1>people who know they can get daily liquidity or not,

0:26:36.880 --> 0:26:38.720
<v Speaker 1>you know, they're not rushing for the exits, whereas like

0:26:38.720 --> 0:26:40.879
<v Speaker 1>you know, people in these private credit funds are rushing

0:26:40.920 --> 0:26:44.160
<v Speaker 1>for the exits. So maybe maybe monthly liquidity will solve

0:26:44.200 --> 0:26:44.879
<v Speaker 1>that problem.

0:26:45.000 --> 0:26:47.760
<v Speaker 2>I mean, they're all tailored towards retail investors, but this

0:26:47.840 --> 0:26:52.080
<v Speaker 2>specific one is tailored towards retail investors. There was this

0:26:52.240 --> 0:26:55.200
<v Speaker 2>shift after what happened in the first quarter. You saw

0:26:55.200 --> 0:26:58.679
<v Speaker 2>a lot of firms talking up institutional investors like that's

0:26:58.680 --> 0:27:01.760
<v Speaker 2>where the focus is. But JP Morgan still seems interested

0:27:01.800 --> 0:27:03.760
<v Speaker 2>in courting that retail investor, right.

0:27:03.600 --> 0:27:05.960
<v Speaker 1>I mean, you have to court the retail investor, right, like,

0:27:06.000 --> 0:27:07.960
<v Speaker 1>the long game has to be we're going to sell

0:27:07.960 --> 0:27:10.320
<v Speaker 1>privates to people with trillions of dollars in their prof

0:27:10.320 --> 0:27:11.800
<v Speaker 1>one case. It just has to be the long game

0:27:12.040 --> 0:27:17.000
<v Speaker 1>of everything correct. And so right now that retail capital

0:27:17.040 --> 0:27:19.959
<v Speaker 1>seems to flighty and you're like, yeah, institutions still love us.

0:27:19.960 --> 0:27:21.920
<v Speaker 1>It's great, but like you still have to be thinking

0:27:21.960 --> 0:27:25.560
<v Speaker 1>about that long game. Also, there's an article this week

0:27:25.680 --> 0:27:29.919
<v Speaker 1>in bloomerket about the private credit arbitrage trade getting momentum

0:27:30.280 --> 0:27:34.680
<v Speaker 1>from advisors. Did you see this? No, so the arbitrage chairs.

0:27:34.720 --> 0:27:38.919
<v Speaker 1>I don't love that phrase, but whatever the trade is. Like,

0:27:38.960 --> 0:27:43.600
<v Speaker 1>if you are in a private, non traded business development

0:27:43.600 --> 0:27:47.200
<v Speaker 1>company credit fund, you can ask for your money back

0:27:47.280 --> 0:27:49.080
<v Speaker 1>and if you get it, which you know, there's caps

0:27:49.119 --> 0:27:51.120
<v Speaker 1>on redumptions or whatever. But any money you do get back,

0:27:51.160 --> 0:27:52.640
<v Speaker 1>you get back on one hundred cents on the dollar.

0:27:52.680 --> 0:27:55.080
<v Speaker 1>You get it back at net asset value. That's the

0:27:55.200 --> 0:27:59.640
<v Speaker 1>rule how these things work. Meanwhile, they are publicly traded BBCs,

0:28:00.160 --> 0:28:03.440
<v Speaker 1>which are essentially the same assets the same fund as

0:28:03.480 --> 0:28:05.840
<v Speaker 1>the private BDCs, or like, they're at least run by

0:28:05.880 --> 0:28:08.760
<v Speaker 1>the same managers that have overlapping assets, and those trade

0:28:08.760 --> 0:28:11.520
<v Speaker 1>it like you know, eighty seventy five cents on the dollar,

0:28:12.040 --> 0:28:14.879
<v Speaker 1>and so a lot of people think, well, I should

0:28:14.920 --> 0:28:17.359
<v Speaker 1>take my money out from the public one a one

0:28:17.400 --> 0:28:18.840
<v Speaker 1>hundred cents on the dollar and then put it back

0:28:18.880 --> 0:28:21.040
<v Speaker 1>into the same assets that's seventy five cents on the dollar.

0:28:21.280 --> 0:28:24.840
<v Speaker 1>Because that's just saves me twenty five cents. That's a

0:28:24.880 --> 0:28:27.320
<v Speaker 1>trade that, like was Winstein talked up on this podcast,

0:28:27.440 --> 0:28:30.440
<v Speaker 1>that people have talked about and written about. But the

0:28:30.440 --> 0:28:35.080
<v Speaker 1>Bloomer article this week is about financial advisors telling their

0:28:35.119 --> 0:28:38.000
<v Speaker 1>clients to do that, which is fascinating to me because

0:28:38.040 --> 0:28:41.120
<v Speaker 1>on the one hand, I don't want to give investment advice.

0:28:41.160 --> 0:28:43.560
<v Speaker 1>I don't want to say that's good investing advice. There

0:28:43.560 --> 0:28:47.560
<v Speaker 1>are pluses and minuses. The discount might get wider. You

0:28:47.640 --> 0:28:50.880
<v Speaker 1>can't know that this is not really an arbitrage. The

0:28:50.880 --> 0:28:53.920
<v Speaker 1>liber Artical quotes a guy named John Scott at CF

0:28:53.920 --> 0:28:56.680
<v Speaker 1>Advisers saying, when the same credit manager is running a

0:28:56.680 --> 0:28:59.160
<v Speaker 1>non traded BBC at its net asset value and I

0:28:59.240 --> 0:29:01.760
<v Speaker 1>listed sibling fund it a twenty four to twenty seven

0:29:01.800 --> 0:29:05.440
<v Speaker 1>percent discount, that's not a philosophical debate. That's a math problem.

0:29:05.720 --> 0:29:07.880
<v Speaker 1>That's kind of right, right, like it's kind of a

0:29:07.920 --> 0:29:10.120
<v Speaker 1>good trade, and so as a financial advisor, it kind

0:29:10.160 --> 0:29:11.840
<v Speaker 1>of be who's you to tell people who do this trade?

0:29:12.000 --> 0:29:17.000
<v Speaker 1>But also the whole non traded BDC product is kind

0:29:17.040 --> 0:29:20.560
<v Speaker 1>of like financial advisors putting people into it, right, yeah,

0:29:20.680 --> 0:29:23.840
<v Speaker 1>by financial advisor putting me into one, right, et cetera.

0:29:24.360 --> 0:29:27.720
<v Speaker 1>And like, you know, you might ask why can non

0:29:27.760 --> 0:29:30.560
<v Speaker 1>traded BDCs sell shares a one hundred cents on the

0:29:30.560 --> 0:29:33.120
<v Speaker 1>dollar when traded ones sell shares it, you know, they

0:29:33.240 --> 0:29:35.600
<v Speaker 1>traded eighty cents on the dollar. The answer is because

0:29:35.640 --> 0:29:37.120
<v Speaker 1>your advisor is putting you into it. Why is your

0:29:37.120 --> 0:29:44.000
<v Speaker 1>advisor putting into it? You know? Whyto advisors do anything? Right?

0:29:44.560 --> 0:29:46.880
<v Speaker 1>And so it is funny to see this like the

0:29:46.960 --> 0:29:50.040
<v Speaker 1>advisors shifting their clients out of the advisor product and

0:29:50.080 --> 0:29:53.040
<v Speaker 1>into the like publicly available product. It's just like, yeah,

0:29:53.200 --> 0:29:55.000
<v Speaker 1>at some point in the cycle, you're like, wait a minute,

0:29:55.000 --> 0:29:56.280
<v Speaker 1>I'm going to give people good advice.

0:29:56.560 --> 0:30:00.560
<v Speaker 2>Yeah right, Oh god, well that's cool.

0:30:00.600 --> 0:30:02.440
<v Speaker 1>It's not investing advice. I'm not thinking it's good advice.

0:30:02.440 --> 0:30:03.400
<v Speaker 1>I'm just saying a lot.

0:30:03.360 --> 0:30:06.040
<v Speaker 2>Of it's on investing advices. Just the problem until a

0:30:06.040 --> 0:30:08.880
<v Speaker 2>financial advisor tells you so not this podcast, right, that's right,

0:30:08.960 --> 0:30:11.440
<v Speaker 2>that's right. Run it by your financial advisor.

0:30:11.680 --> 0:30:24.280
<v Speaker 1>See what she says. And that was the Money Stuff Podcast.

0:30:24.560 --> 0:30:26.680
<v Speaker 2>I'm Matt Levine and I'm Katie Greifeld.

0:30:26.880 --> 0:30:29.040
<v Speaker 1>You can find my work by subscribeing to the Money

0:30:29.040 --> 0:30:31.040
<v Speaker 1>Stuff newsletter on Bloomberg dot.

0:30:30.880 --> 0:30:33.640
<v Speaker 2>Com, and you can find me on Bloomberg TV every

0:30:33.680 --> 0:30:36.840
<v Speaker 2>day on the Clothes between three and five pm Eastern.

0:30:37.600 --> 0:30:39.560
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0:30:51.320 --> 0:30:55.160
<v Speaker 1>The Money Stuff Podcast is produced by annam Aserakas, Moses

0:30:55.200 --> 0:30:57.200
<v Speaker 1>onm and Alexis Hot.

0:30:57.880 --> 0:31:00.320
<v Speaker 2>Our theme music was composed by Blake Mabel.

0:31:00.880 --> 0:31:04.320
<v Speaker 1>Amy Keen is our executive producer. Thanks for listening to

0:31:04.360 --> 0:31:06.800
<v Speaker 1>The Money Stuff Podcast. We'll be back next week with

0:31:07.000 --> 0:31:07.560
<v Speaker 1>more stuff.