WEBVTT - Money Has No Meaning: OpenAI, AIWB, WWJD

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

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<v Speaker 2>Hello and welcome the Money Stuff Podcast. You're a weekly

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<v Speaker 2>podcast where we talk about stuff related to money. I'm

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<v Speaker 2>Matt Levian and I write the Money Stuff column for

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<v Speaker 2>Bloomberg Good Pay.

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<v Speaker 1>And I'm Katie Greifeld, a reporter for Bloomberg News and

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<v Speaker 1>an anchor for Bloomberg Television.

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<v Speaker 2>What are you talking about today, Katie?

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<v Speaker 1>We're going to talk about open Aire, all the drama.

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<v Speaker 1>We're going to talk about chatbots and stock picking, and

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<v Speaker 1>then we're going to talk about bibles.

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<v Speaker 2>I'm gonna bell out right now.

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<v Speaker 1>Sam Altman open Ai. You know how open ai is

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<v Speaker 1>a nonprofit?

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<v Speaker 2>I don't well explain it to me.

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<v Speaker 1>No, we don't need to, because it's not anymore. It

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<v Speaker 1>won't be. According to people familiar with the matter, of course,

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<v Speaker 1>they're just discussing how to restructure to become a for

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<v Speaker 1>profit business officially and giving Sam Altman a seven percent

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<v Speaker 1>equity stake.

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<v Speaker 2>It's so good.

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<v Speaker 1>Yeah.

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<v Speaker 2>I read about this that if you just like didn't

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<v Speaker 2>know that it was a nonprofit and you just ignored

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<v Speaker 2>all of that stuff, you would sort of have a

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<v Speaker 2>better understanding of open Ai than if you did think

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<v Speaker 2>about it's nonprofit governance structure, because you know, they had

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<v Speaker 2>a nonprofit board whose job was to develop AI for

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<v Speaker 2>the benefit of humanity, and the nonprofit board decided that

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<v Speaker 2>the CEO of Sam Altman was apparently developing it not

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<v Speaker 2>for the benefit of humanity, and so they fired him,

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<v Speaker 2>and then everyone was like, never mind, there's no nonprofit board.

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<v Speaker 1>Well that's the thing. I feel like a lot of

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<v Speaker 1>people didn't know that open ai was a nonprofit until

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<v Speaker 1>they fired and then rehired Sam Ali.

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<v Speaker 3>Yeah.

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<v Speaker 2>Yeah, there was like a five day period where you

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<v Speaker 2>could be like, wow, open ai is really a weird

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<v Speaker 2>company and not just the hot tech startup. And then

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<v Speaker 2>they're like, nah, we're just kidding. We're a context out

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<v Speaker 2>And so now they're going to be a for profit

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<v Speaker 2>for real.

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<v Speaker 1>Yeah, taking the last step they're considering, according to people

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<v Speaker 1>familiar with the matter, becoming a public benefit corporation, tasked

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<v Speaker 1>with turning a profit but also helping society. But Matt,

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<v Speaker 1>are those two things at odds? Can you help society

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<v Speaker 1>and still make money? I don't know.

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<v Speaker 2>This podcast will try to find out. Look, you know

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<v Speaker 2>you can be a public benefit corporation. You know you're

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<v Speaker 2>trying to make a profit. But like you, the distinction

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<v Speaker 2>machine a public benefit corporation and a regular corporation is

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<v Speaker 2>pretty vague, right, because you can be just a regular

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<v Speaker 2>old for profit corporation and like also try to be good,

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<v Speaker 2>and the constraints on you as a public benefit corporation

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<v Speaker 2>are not that constraining, So you can be a public

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<v Speaker 2>benefit corporation and be kind of bad. But you know,

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<v Speaker 2>if you're going from being a nonprofit company to being

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<v Speaker 2>a for profit company, it probably does make sense to

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<v Speaker 2>stop along the way being a public benefit company because

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<v Speaker 2>it like sounds better, sounds like less of a stark transition.

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<v Speaker 1>It still has benefit.

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<v Speaker 2>Yeah, it's still for the benefit of the public. You ask,

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<v Speaker 2>somewhat sarcastically, can you do good while also making money?

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<v Speaker 2>And I think it's really interesting that, like the Silicon

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<v Speaker 2>Valley ethos is so strongly of the view that you

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<v Speaker 2>always read VCS saying Elon Musk has done more for

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<v Speaker 2>humanity in its for profit companies than you know, any philanthropist.

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<v Speaker 2>And you know, I think there's some truth to the

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<v Speaker 2>idea that like for profit development of technology can be

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<v Speaker 2>really good for the world and also make the people

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<v Speaker 2>who do it really rich, and it was always at odd.

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<v Speaker 2>It's with that ethos that open ai was a nonprofit

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<v Speaker 2>and always very awkward because you know it was like

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<v Speaker 2>founded by Silicon Valley, you know, sounded by literally Elon

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<v Speaker 2>Musk and like some PC types, you know, s Ham

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<v Speaker 2>Altman is you know kind of a he's like a

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<v Speaker 2>you know, bicombinator, like the VC guy, and you know

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<v Speaker 2>it's staffed by tech people, and all of those people,

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<v Speaker 2>I think, to some degree in their previous lives brought

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<v Speaker 2>into like the Silicon Valley ethos of like the way

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<v Speaker 2>to improve society is to to scalable low marginal cost

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<v Speaker 2>technology products that make a lot of money for their developers.

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<v Speaker 2>And there's this little blip of like at open Ai,

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<v Speaker 2>I was like, no, we're going to do it a

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<v Speaker 2>different way, and then they changed their months. So clearly

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<v Speaker 2>a lot of people at open ai think that they

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<v Speaker 2>can do good for humanity while also making a lot

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<v Speaker 2>of money. So the mission of open ai being this

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<v Speaker 2>technology in particular cannot be commercialized, This technology in particular

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<v Speaker 2>has to be done by a nonprofit, which was apparently

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<v Speaker 2>the theory for a while. It's always a little weird, right,

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<v Speaker 2>because like the product they've rolled out is sort of

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<v Speaker 2>this like consumer chat pottery. It's on a continuum with

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<v Speaker 2>a lot of, like you know, for profit technology products.

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<v Speaker 2>I think there's like the overlay of open ai believing

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<v Speaker 2>that AI could enslave humanity or red work obsolete, or

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<v Speaker 2>like usher in a new age of abundance where money

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<v Speaker 2>has no meaning. Yeah, if you really believe that your

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<v Speaker 2>product is going to create an age where money has

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<v Speaker 2>no meaning, then I suppose it makes sense to operate

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<v Speaker 2>it as a nonprofit. Yeah, but you know that market.

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<v Speaker 1>Well, the point before right where I mean Altman saying

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<v Speaker 1>publicly like I'm so scared of what we could be

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<v Speaker 1>creating is a great pitch for why you should give

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<v Speaker 1>me a lot of money. Like what we're working on

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<v Speaker 1>is so incredible that I am scared, right.

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<v Speaker 2>It makes it seem very important, and so it helps

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<v Speaker 2>them raise a lot of money. But eventually, you know,

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<v Speaker 2>those people who give them all the money want their

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<v Speaker 2>money back. Yeah.

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<v Speaker 1>I don't think like all the investors pouring so much

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<v Speaker 1>money into open ai, which is raising right now with

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<v Speaker 1>a one hundred and fifty billion dollars valuation, or necessarily

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<v Speaker 1>investing to help humanity, they're investing with the goal of

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<v Speaker 1>making a lot of money, I would imagine.

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<v Speaker 2>Yeah. And by the way, like even before this like

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<v Speaker 2>supposed change, open AI has this for profit subsidiary that

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<v Speaker 2>was already able to give to promise investors a big

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<v Speaker 2>return on their money. It was like a cap to

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<v Speaker 2>profit subsidiary, so you could only make one hundred times your.

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<v Speaker 1>Money up change.

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<v Speaker 2>So what is changing is I think two things. One

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<v Speaker 2>is like, like right now the sort of notional corporate

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<v Speaker 2>structure is that on top is a nonprofit and then

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<v Speaker 2>there's like the cap profit subsidiary under it, and you

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<v Speaker 2>can invest in the cap profit subsidiary and get profits.

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<v Speaker 2>But ultimately everything answers to the nonprofit board. The nonprofit

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<v Speaker 2>board has no fiduciary duties to investors. Their duty is

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<v Speaker 2>to humanity to develop AI in the best way. And

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<v Speaker 2>you know what happened is the old nonprofit board thought

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<v Speaker 2>that Sam all And wasn't doing that in some unspecified way,

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<v Speaker 2>and so they fired him, and then they all got

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<v Speaker 2>fired themselves. And so now there's a new nonprofit board

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<v Speaker 2>that is like a little bit more profit oriented. Yeah,

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<v Speaker 2>but it's still technically does an answer to the investors.

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<v Speaker 2>And I think the restructuring would mean that the board

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<v Speaker 2>is now more directly responsible to investors. And then the

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<v Speaker 2>other thing that's happening in this change besiudes, like the

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<v Speaker 2>for profit being the top company is sam Aldman is

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<v Speaker 2>supposedly getting seven percent of the company.

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<v Speaker 1>It's spend a lot of money. Theoretically.

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<v Speaker 2>I was thinking, if like Harvard University became a for

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<v Speaker 2>profit company tomorrow, would they give the president ten billion dollars.

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<v Speaker 2>It's like a really interesting you know, like typically founders

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<v Speaker 2>of hot tech companies get a lot of equity. Yeah,

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<v Speaker 2>because they retain a lot of equity, right, Like they

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<v Speaker 2>start with one hundred percent of the company and then

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<v Speaker 2>they raise money by selling portion of the company. But

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<v Speaker 2>like they started with a undred percent and they end

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<v Speaker 2>up with you know, seven or ten or twenty or

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<v Speaker 2>fifty percent. Sam Alban started with zero percent because it

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<v Speaker 2>was a nonprofit, and now they're retroactively being like, wow, okay, fine,

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<v Speaker 2>it was a regular startup, so you can't have zero

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<v Speaker 2>percent equity, so we're going to give you seven percent.

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<v Speaker 2>And so because he built this company from zero to

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<v Speaker 2>let's say, one hundred and fifty billion dollar valuation, even

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<v Speaker 2>though he did that without any equity stake. They're retroactively saying, well,

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<v Speaker 2>you did that, so you're a founder, so you get

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<v Speaker 2>ten billion of that value you created.

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<v Speaker 1>I like equation that went into How did they land

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<v Speaker 1>at seven percent?

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<v Speaker 2>Like?

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<v Speaker 1>Did they?

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<v Speaker 2>I'm very curious about the capital structure of this company generally, right,

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<v Speaker 2>because like this company is like you know, if you

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<v Speaker 2>if you just think of the for profit subsidiary, right,

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<v Speaker 2>like Microsoft owns quite a chunk of it, because they've

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<v Speaker 2>put a lot of money in at like lower evaluations

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<v Speaker 2>than the current one. And you know, there's some VC investors.

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<v Speaker 2>And then there are a lot of employees, not Sam alten,

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<v Speaker 2>but a lot of employees have gotten you know, chunky

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<v Speaker 2>stock grants of the years. They're not called stock grunts.

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<v Speaker 2>They're called something like performance something units, but they're.

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<v Speaker 1>Stock grunts, right, and benefit grants.

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<v Speaker 2>Yeah, there's stocks. And then the rest of the company

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<v Speaker 2>is owned by humanity, right, the rest of the company's

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<v Speaker 2>owned by the nonprofit. Right. No, and so the nonprofit

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<v Speaker 2>now is basically allocating money away from humanity to say,

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<v Speaker 2>Sam Altman, And how did they come up with that number?

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<v Speaker 2>I don't know. I think that like it has to

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<v Speaker 2>be a lot because first of all, he's a billionaire

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<v Speaker 2>front it's all their adventures. But it has to be

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<v Speaker 2>a lot because if you're just recasting open Ai as

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<v Speaker 2>a regular startup, then the founder CEO has to own

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<v Speaker 2>a lot of it because he has to be incentivized

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<v Speaker 2>in the right way, right. I Mean, one thing that's

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<v Speaker 2>happened in the open a story in the last year

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<v Speaker 2>or two is that you're constantly reading about Sam Altman

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<v Speaker 2>doing like other weird stuff. You know, he's like getting

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<v Speaker 2>involved in like data center deals and like power deals

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<v Speaker 2>and like other startups that use open ai technology, and

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<v Speaker 2>they all feel like confident of interest. And one explanation

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<v Speaker 2>of that is, Okay young zero percent of open Aif

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<v Speaker 2>she like can like make a little money on the

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<v Speaker 2>side by doing some sort of nuclear power deal, then

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<v Speaker 2>he'll do that. And so if you're an investor looking

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<v Speaker 2>to put money into open Ai at one hundred and

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<v Speaker 2>fifty billion dollar valuation, one thing you want is for

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<v Speaker 2>the CEO to be mostly working for open Ai. Yeah,

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<v Speaker 2>and you can imagine a lot of ways to try

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<v Speaker 2>to do that. But like the standard silicon of Valueay

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<v Speaker 2>is like he has most of his net worth in

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<v Speaker 2>open ai stock, so you have to give him enough

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<v Speaker 2>stock that most of his network is in open A stock.

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<v Speaker 2>And that's like, you know, come doing it.

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<v Speaker 1>She with Elon Musk parallels because you want the founder

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<v Speaker 1>CEO to be engaged and passionate and working on the company.

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<v Speaker 1>Elon Musk when it comes to Tesla, I mean that

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<v Speaker 1>was basically his argument that I want to focus on

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<v Speaker 1>the thing where I have the most at stake here,

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<v Speaker 1>and that's why I should own more of Tesla.

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<v Speaker 2>Yeah. Absolutely, I don't know who is asking for what here.

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<v Speaker 2>Like you could imagine I'm not saying this is true.

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<v Speaker 2>I don't think this is true. But you could imagine

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<v Speaker 2>Sam and be like, no, I'm good, I have two

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<v Speaker 2>billion dollars. I don't need more money from this company.

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<v Speaker 2>I'm in it for the benefit of humanity. You could

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<v Speaker 2>imagine the board of the investors saying, no, you need

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<v Speaker 2>to have a ligned incentives. You need to own seven

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<v Speaker 2>percent of the company. Here, take ten billion dollars so

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<v Speaker 2>that we know you're working for us. You can imagine that.

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<v Speaker 1>Some time twists my arm, all right.

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<v Speaker 2>Right, right, all right, And like, by the way, Elon

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<v Speaker 2>Musk will ask for the money, but he will also say,

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<v Speaker 2>I don't want it for the money. I just want it,

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<v Speaker 2>you know, to make sure that I'm building it in

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<v Speaker 2>the right place. So yeah, it's totally like Elon. It's

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<v Speaker 2>a little different because Elon has a lot of very

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<v Speaker 2>different ideas, but like have a lot of conflicts. But

0:11:38.760 --> 0:11:41.160
<v Speaker 2>you understand why they're different. Companies like Sam all been

0:11:41.200 --> 0:11:44.440
<v Speaker 2>when he's like raising money for ventures that build on

0:11:44.480 --> 0:11:46.280
<v Speaker 2>top of open Ai, it's like, well, let's do that

0:11:46.320 --> 0:11:48.760
<v Speaker 2>at open Ai. It's a little bit more like it

0:11:48.800 --> 0:11:51.240
<v Speaker 2>looked like he was using his position at open ai

0:11:51.360 --> 0:11:53.000
<v Speaker 2>to make money on the side because he couldn't make

0:11:53.000 --> 0:11:54.640
<v Speaker 2>money at open ai. And now it's like, wow, I

0:11:54.640 --> 0:11:56.200
<v Speaker 2>can make a lot of money open Ai, so do

0:11:56.280 --> 0:11:59.560
<v Speaker 2>that instead. But yes, the perils that Elon are interesting,

0:11:59.640 --> 0:12:02.559
<v Speaker 2>right because I said, you know, the notion that Elon

0:12:02.679 --> 0:12:04.560
<v Speaker 2>Musk has done a lot for humanity by running for

0:12:04.640 --> 0:12:08.240
<v Speaker 2>profit companies, It's like validates dispute to being a for

0:12:08.320 --> 0:12:11.199
<v Speaker 2>profit company. On the other hand, Elon Musk is also

0:12:11.320 --> 0:12:14.040
<v Speaker 2>suing open ai for becoming a for profit company.

0:12:14.080 --> 0:12:14.760
<v Speaker 1>That's so true.

0:12:15.000 --> 0:12:18.280
<v Speaker 2>This is it has one circumstance. He does not believe

0:12:18.320 --> 0:12:20.880
<v Speaker 2>you should be benefiting humanity and also making a profit.

0:12:21.040 --> 0:12:22.960
<v Speaker 1>It feels like a while since we've talked about Elon.

0:12:23.360 --> 0:12:26.240
<v Speaker 2>I wonder like if the resolution to all of this

0:12:26.840 --> 0:12:29.160
<v Speaker 2>is open a eye is now a for profit company.

0:12:29.200 --> 0:12:31.840
<v Speaker 2>Microsoft will own x percent of it, Sam Alton and

0:12:32.520 --> 0:12:36.480
<v Speaker 2>it humanity will ow you know, some single percentage.

0:12:35.960 --> 0:12:37.320
<v Speaker 1>Of Well give you a benefit.

0:12:37.400 --> 0:12:39.440
<v Speaker 2>We just give you on you know, an equity stake

0:12:39.520 --> 0:12:43.320
<v Speaker 2>for his his contributions. Why not get on side then

0:12:43.360 --> 0:12:45.240
<v Speaker 2>you get you on a line. Yeah, that's good. Although

0:12:45.280 --> 0:12:46.760
<v Speaker 2>he's got his own AI company, so I guess he

0:12:46.800 --> 0:12:47.400
<v Speaker 2>cant do that.

0:12:47.520 --> 0:13:03.040
<v Speaker 1>True? Was that XII chat thoughts? Shall we? Shall we

0:13:03.080 --> 0:13:04.520
<v Speaker 1>talk about Bridget.

0:13:04.600 --> 0:13:06.240
<v Speaker 2>Another AI transition.

0:13:05.960 --> 0:13:07.679
<v Speaker 1>Bridget Bridget bridge Wise.

0:13:08.000 --> 0:13:10.760
<v Speaker 2>So Bridgewise is this Israeli tech company, fintech company that

0:13:11.160 --> 0:13:14.760
<v Speaker 2>is launching a chatbot that will be your broker.

0:13:15.520 --> 0:13:18.199
<v Speaker 3>Yeah.

0:13:19.080 --> 0:13:22.120
<v Speaker 2>So it's this fascinating story because you read about it

0:13:22.120 --> 0:13:23.839
<v Speaker 2>and you're like, Okay, what does this chatbot do, like

0:13:23.880 --> 0:13:26.240
<v Speaker 2>gives your stock recommendations? Yeah? So, I mean I think

0:13:26.240 --> 0:13:27.640
<v Speaker 2>it's like you type of O. Can you tell me

0:13:27.679 --> 0:13:30.480
<v Speaker 2>like the top five stocks in like the industrial sector

0:13:30.520 --> 0:13:32.360
<v Speaker 2>that I should buy today? And it's like, yeah, well,

0:13:32.400 --> 0:13:35.160
<v Speaker 2>looking at the researcher, but like you can imagine just

0:13:35.360 --> 0:13:37.960
<v Speaker 2>being like, what stocks should I buy? And then Bridgett

0:13:38.000 --> 0:13:40.240
<v Speaker 2>says you should buy these five stocks, and you go

0:13:40.320 --> 0:13:43.200
<v Speaker 2>buy those five stocks, and then the next day you

0:13:43.240 --> 0:13:45.440
<v Speaker 2>come back and you're like, bridget they went down. What's

0:13:45.480 --> 0:13:45.880
<v Speaker 2>going on?

0:13:46.400 --> 0:13:48.760
<v Speaker 1>Yeah, Like, what information do you? What is the prompt?

0:13:48.840 --> 0:13:52.000
<v Speaker 1>Prompts matter so much with these chatbots. Like if I

0:13:52.000 --> 0:13:55.400
<v Speaker 1>said my name is Katie, I'm thirty one, I love horses,

0:13:56.000 --> 0:13:57.760
<v Speaker 1>what would you tell me to buy? Versus if I

0:13:57.760 --> 0:14:01.959
<v Speaker 1>said I'm Katie, you're up in New Jersey. That's it.

0:14:02.480 --> 0:14:05.880
<v Speaker 2>But those are bad prompts. The prompt that you want

0:14:05.920 --> 0:14:07.319
<v Speaker 2>is what stocks will go up the most?

0:14:07.679 --> 0:14:10.360
<v Speaker 1>Well, yeah, because you know you don't care.

0:14:11.120 --> 0:14:13.160
<v Speaker 2>But you're on the right track, because like this thing

0:14:13.200 --> 0:14:16.040
<v Speaker 2>is clearly a substitute for a broker, right. This is

0:14:16.080 --> 0:14:18.720
<v Speaker 2>like you call your broker, and your broker gets to

0:14:18.760 --> 0:14:21.280
<v Speaker 2>know you and learns about your risk tolerances and your

0:14:21.320 --> 0:14:23.920
<v Speaker 2>preferences and the themes that you're interested in. And then

0:14:23.920 --> 0:14:25.920
<v Speaker 2>your broker is like, well, given your risk tolerance and

0:14:25.960 --> 0:14:27.840
<v Speaker 2>you're interested in the theme of horses, you should buy

0:14:27.840 --> 0:14:31.640
<v Speaker 2>the horse, etf or whatever. Right, But that's true because

0:14:32.120 --> 0:14:35.280
<v Speaker 2>brokerage is a client service business. Where the product is

0:14:35.320 --> 0:14:38.160
<v Speaker 2>making the client happy with the service. But you can

0:14:38.240 --> 0:14:41.400
<v Speaker 2>imagine a different model where the product is like buying

0:14:41.440 --> 0:14:44.760
<v Speaker 2>stocks that go up. Yeah, right, I think that we

0:14:44.840 --> 0:14:47.240
<v Speaker 2>all understand that when you call your broker and you

0:14:47.280 --> 0:14:49.280
<v Speaker 2>say what stock should I either be like, what are

0:14:49.280 --> 0:14:51.200
<v Speaker 2>your risk tolerances? You should be in this CTF because

0:14:51.200 --> 0:14:53.400
<v Speaker 2>there's a good balance of what like they'll say something

0:14:53.480 --> 0:14:56.000
<v Speaker 2>other than like I know which stocks will go up

0:14:56.120 --> 0:14:58.600
<v Speaker 2>and these are them and you should buy them, because

0:14:58.640 --> 0:15:01.960
<v Speaker 2>like if they knewhich stocks would go up, yeah, they

0:15:01.960 --> 0:15:03.120
<v Speaker 2>would be doing something else.

0:15:04.560 --> 0:15:08.240
<v Speaker 1>Why can't I just ask chat ChiPT what stocks to buy?

0:15:08.760 --> 0:15:10.760
<v Speaker 2>You can apparently sometimes tell you I can't give you

0:15:10.800 --> 0:15:11.600
<v Speaker 2>stock recommendations.

0:15:11.840 --> 0:15:13.640
<v Speaker 1>Oh, you can get around it.

0:15:13.680 --> 0:15:18.160
<v Speaker 2>So chat GPT is like a general purpose chatbot, and

0:15:18.200 --> 0:15:20.480
<v Speaker 2>it can like read the internet and sort of say

0:15:20.520 --> 0:15:22.760
<v Speaker 2>what people will say, Like you can make like the

0:15:22.800 --> 0:15:24.840
<v Speaker 2>best guess that like what people would tell you if

0:15:24.880 --> 0:15:27.920
<v Speaker 2>you ask what stocks will go up? Bridget is trained

0:15:27.960 --> 0:15:30.680
<v Speaker 2>a little bit more on like financial information, and so

0:15:30.760 --> 0:15:33.400
<v Speaker 2>it might have a better idea what stocks will go up. Yeah,

0:15:33.520 --> 0:15:36.240
<v Speaker 2>maybe like a less good general purpose chatbot, but a

0:15:36.280 --> 0:15:39.560
<v Speaker 2>good picker of stocks. But I think the point is

0:15:39.760 --> 0:15:41.680
<v Speaker 2>like it's so interesting reading, Like you know, there's there's

0:15:41.680 --> 0:15:43.360
<v Speaker 2>a Bloomberg News story about it, and like you read

0:15:43.360 --> 0:15:45.080
<v Speaker 2>the story and it's like it's been tested a lot

0:15:45.200 --> 0:15:46.880
<v Speaker 2>to make sure it gives accurate recommendations.

0:15:46.880 --> 0:15:49.280
<v Speaker 1>Well, so it's been tested.

0:15:49.440 --> 0:15:51.520
<v Speaker 2>I don't think it means it's been back testing. I

0:15:51.520 --> 0:15:54.000
<v Speaker 2>think it means it's like if it says to you, oh,

0:15:54.280 --> 0:15:57.760
<v Speaker 2>JP Morgan Research that this stock is like x price target.

0:15:58.280 --> 0:16:01.400
<v Speaker 2>Those quotes are accurate, right, it's quoting information to you,

0:16:01.760 --> 0:16:04.720
<v Speaker 2>but it's not. I don't think back tested depict stacks

0:16:04.720 --> 0:16:06.160
<v Speaker 2>that will go up because if it were back tested

0:16:06.200 --> 0:16:09.200
<v Speaker 2>depict stacks like you go up and it was successful,

0:16:10.240 --> 0:16:11.840
<v Speaker 2>it would not be a chatbot.

0:16:11.400 --> 0:16:13.800
<v Speaker 1>For a brokerage form, that's true, it.

0:16:13.800 --> 0:16:14.520
<v Speaker 2>Would be Bridge.

0:16:14.600 --> 0:16:18.840
<v Speaker 1>It would be Renaissance, yeah, or you know, it could

0:16:18.880 --> 0:16:21.440
<v Speaker 1>just be the Bridget hedge fund. Yeah, and they can

0:16:21.520 --> 0:16:23.680
<v Speaker 1>make a lot more money. They should back test it, though,

0:16:23.720 --> 0:16:27.600
<v Speaker 1>I want to back test Bridget. I must chat GBT

0:16:27.760 --> 0:16:28.200
<v Speaker 1>to back test.

0:16:28.280 --> 0:16:31.440
<v Speaker 2>It's like in beta, but like we'll certainly be testing Bridget.

0:16:31.640 --> 0:16:35.560
<v Speaker 1>Yeah, this did remind me of a thing that you

0:16:35.560 --> 0:16:38.920
<v Speaker 1>wrote about already, But I was on vacation last week,

0:16:38.920 --> 0:16:40.360
<v Speaker 1>so we didn't talk about it on the pod, but

0:16:40.800 --> 0:16:45.000
<v Speaker 1>there is that chatbot ETF that just launched that's supposed

0:16:45.040 --> 0:16:51.160
<v Speaker 1>to mimic buffets Stanley Drackenmiller, David Tepper. And that's interesting.

0:16:51.320 --> 0:16:53.440
<v Speaker 1>I mean it's so it's basically.

0:16:53.200 --> 0:16:55.400
<v Speaker 2>Yeah, by the way, I haven't seen their back tests.

0:16:55.640 --> 0:16:57.520
<v Speaker 1>I would love to see their back tests as well.

0:16:57.560 --> 0:17:02.240
<v Speaker 1>But basically they have this investment committee that is built

0:17:02.240 --> 0:17:06.560
<v Speaker 1>on training the chatbot around investment ideas. It basically wants

0:17:06.600 --> 0:17:08.560
<v Speaker 1>them to mimic these guys, and he wants them to

0:17:08.600 --> 0:17:13.480
<v Speaker 1>learn their personalities and then emulate it. And that's crazy.

0:17:13.640 --> 0:17:15.280
<v Speaker 1>But it's kind of similar to what we're talking about

0:17:15.280 --> 0:17:18.640
<v Speaker 1>with Bridget. I mean, she's just like general financial information,

0:17:18.680 --> 0:17:21.000
<v Speaker 1>whereas this is like, this is what David Tepper would doing.

0:17:20.960 --> 0:17:23.040
<v Speaker 2>We should you know, like when you like want to

0:17:23.040 --> 0:17:26.000
<v Speaker 2>like change your airline flight, you like go to a chatbot,

0:17:26.000 --> 0:17:29.520
<v Speaker 2>and like the chatbot is like trying to replace the

0:17:29.600 --> 0:17:35.560
<v Speaker 2>human customer service but like someone must do it, and

0:17:35.640 --> 0:17:37.639
<v Speaker 2>like that's supposed to be been making the human customer

0:17:37.680 --> 0:17:40.360
<v Speaker 2>service agent, right, and like this I think is sort

0:17:40.400 --> 0:17:42.480
<v Speaker 2>of the same thing, right, It's like making the human

0:17:42.680 --> 0:17:45.320
<v Speaker 2>broker who like has the relationship with you and can

0:17:45.400 --> 0:17:48.960
<v Speaker 2>like give you stock tips, but like not with like

0:17:49.000 --> 0:17:51.320
<v Speaker 2>one hundred percent reliability that it will pick stocks that

0:17:51.400 --> 0:17:53.480
<v Speaker 2>go up, just like you know, serving the purpose of

0:17:53.560 --> 0:17:58.520
<v Speaker 2>a broker. The chat bot the like LLM ETF is

0:17:58.520 --> 0:18:00.359
<v Speaker 2>a little different, Like they're trying to pick stacks that

0:18:00.440 --> 0:18:02.480
<v Speaker 2>go up, Like you're not chatting with the chatbot, right

0:18:02.560 --> 0:18:04.919
<v Speaker 2>Like the person who runs that ETF is chatting with

0:18:04.960 --> 0:18:07.600
<v Speaker 2>the chatbot and asking what stocks will go up and

0:18:07.760 --> 0:18:10.359
<v Speaker 2>hoping that the chatbot gives them the right answer.

0:18:10.560 --> 0:18:11.280
<v Speaker 1>That's so funny.

0:18:11.440 --> 0:18:11.800
<v Speaker 3>I don't know.

0:18:11.880 --> 0:18:15.200
<v Speaker 2>I'm just the product with bridget is the relationship with

0:18:15.240 --> 0:18:17.600
<v Speaker 2>the customer, right, Like you want the customer to feel better,

0:18:17.840 --> 0:18:20.120
<v Speaker 2>to feel like they're getting the information they call for,

0:18:20.800 --> 0:18:23.639
<v Speaker 2>and that includes like stock recommendations. The product for the

0:18:23.640 --> 0:18:25.879
<v Speaker 2>ETF is just the returns stain of the ATF, right

0:18:25.920 --> 0:18:28.879
<v Speaker 2>Like the chatbot is all behind the scenes, and that

0:18:29.080 --> 0:18:31.960
<v Speaker 2>is putting a lot more emphasis on the ability of

0:18:31.960 --> 0:18:33.600
<v Speaker 2>the chatbot to actually pick stocks.

0:18:33.760 --> 0:18:37.199
<v Speaker 1>Also, the goal of the ETF isn't necessarily pickstocks that

0:18:37.240 --> 0:18:39.800
<v Speaker 1>will go up, because there's no guarantee that, Like you're right,

0:18:40.160 --> 0:18:44.600
<v Speaker 1>Warren Buffett or Stanley Drugon Miller will actually correctly identify

0:18:44.640 --> 0:18:45.080
<v Speaker 1>those stocks.

0:18:45.119 --> 0:18:48.840
<v Speaker 2>Okay, but two things. One, I think the ETF would

0:18:48.920 --> 0:18:52.199
<v Speaker 2>much rather the chatbot pick stocks that go up that

0:18:52.240 --> 0:18:54.800
<v Speaker 2>Warren Buffett would not have picked, than that it accurately

0:18:54.840 --> 0:18:57.160
<v Speaker 2>reflects Warren Buffett and pick stocks that go down. Right,

0:18:57.400 --> 0:18:59.679
<v Speaker 2>Like they don't actually care about Warren.

0:18:59.440 --> 0:19:01.720
<v Speaker 1>Buff You don't care about their tracking error.

0:19:01.960 --> 0:19:04.600
<v Speaker 2>The tracking air is entirely theoretical, right, because you can't

0:19:04.640 --> 0:19:07.000
<v Speaker 2>like find the port. I mean you can literally like

0:19:07.040 --> 0:19:09.240
<v Speaker 2>a Workshire Hathway. But this is like the stacks that

0:19:09.240 --> 0:19:12.679
<v Speaker 2>Warren Buffett would pick if you ask them, there's no

0:19:12.800 --> 0:19:14.080
<v Speaker 2>like visible tracking error.

0:19:14.160 --> 0:19:14.880
<v Speaker 3>Yeah.

0:19:14.920 --> 0:19:16.800
<v Speaker 2>But then the other thing is you're right that also

0:19:16.840 --> 0:19:18.639
<v Speaker 2>their goal is not really to pick stacks like you up.

0:19:18.680 --> 0:19:21.159
<v Speaker 2>Their goal is really to attract investors, right, And like

0:19:21.200 --> 0:19:23.400
<v Speaker 2>it's a good stick, right, it's a good pitch, Like well,

0:19:23.600 --> 0:19:25.800
<v Speaker 2>training to chat bought to be Warren Buffett and then

0:19:25.880 --> 0:19:28.439
<v Speaker 2>ask it what slacks? Like, that's clever. I like that.

0:19:28.480 --> 0:19:30.560
<v Speaker 2>I'd kick in money to that where they're not the stacks.

0:19:30.920 --> 0:19:32.840
<v Speaker 1>I can't wait to I mean it already launched. We're

0:19:32.840 --> 0:19:35.399
<v Speaker 1>talking about the Intelligent Livermore ETF, but it's only been

0:19:35.400 --> 0:19:37.760
<v Speaker 1>a couple of days. The ticker I believe is l

0:19:37.880 --> 0:19:42.159
<v Speaker 1>I v R. I'm so excited to see the uptake

0:19:42.200 --> 0:19:45.240
<v Speaker 1>of this. I want to call David Tepper and ask

0:19:45.280 --> 0:19:48.080
<v Speaker 1>how he feels about it, you know. Like again reading

0:19:48.080 --> 0:19:51.040
<v Speaker 1>the description of this, the firm is going to instruct

0:19:51.119 --> 0:19:57.000
<v Speaker 1>the lms to emulate the investors' personalities. That makes my Skinvid.

0:19:56.640 --> 0:19:59.399
<v Speaker 2>Tepper is not in the like prospectus, like the b

0:19:59.600 --> 0:20:02.520
<v Speaker 2>Regardic is like, yeah, David Tepper is on the list,

0:20:02.560 --> 0:20:06.960
<v Speaker 2>but like, I don't think you can really advertise formally

0:20:07.000 --> 0:20:09.320
<v Speaker 2>in writing. We're gonna like train an AI to be

0:20:09.400 --> 0:20:11.480
<v Speaker 2>David Tepper, Like David Tepper is out there like running

0:20:11.520 --> 0:20:13.359
<v Speaker 2>his own fund.

0:20:13.880 --> 0:20:17.600
<v Speaker 1>Well that's another, I mean good point against investing CTF.

0:20:17.600 --> 0:20:20.159
<v Speaker 1>You could just invest with David Tepper if you, you know,

0:20:20.280 --> 0:20:21.199
<v Speaker 1>meet the criteria.

0:20:21.560 --> 0:20:23.280
<v Speaker 2>Yeah, you can just buy Berser Hathaways.

0:20:23.520 --> 0:20:24.160
<v Speaker 1>Yeah exactly.

0:20:24.280 --> 0:20:28.399
<v Speaker 2>It's like this is a clever stack. Yeah, they're not

0:20:28.440 --> 0:20:30.600
<v Speaker 2>really meant to be David Tepper. By the way, the

0:20:30.640 --> 0:20:33.359
<v Speaker 2>ticker is l I V or whatever. Like they've filed

0:20:33.359 --> 0:20:34.960
<v Speaker 2>for several of them, and one of them is the

0:20:35.000 --> 0:20:39.400
<v Speaker 2>ticker is a I w B. And again they can't

0:20:39.400 --> 0:20:42.919
<v Speaker 2>put Warren Buffett's name. I know, in the perspectives they

0:20:42.920 --> 0:20:44.800
<v Speaker 2>can say a I w B.

0:20:46.960 --> 0:20:58.200
<v Speaker 3>I love it.

0:20:58.359 --> 0:21:01.160
<v Speaker 1>It's got to the good stuff about Bible washing.

0:21:01.800 --> 0:21:06.400
<v Speaker 2>So I feel for the US Curious and Exchange Commission.

0:21:06.760 --> 0:21:08.800
<v Speaker 1>You know, you're a sympathizer, I know.

0:21:09.560 --> 0:21:11.600
<v Speaker 2>And they have a hard job. And like one reason

0:21:11.640 --> 0:21:14.159
<v Speaker 2>they have a hard job is like they're there to

0:21:14.280 --> 0:21:18.320
<v Speaker 2>protect investors from like bad ideas, but kind of right,

0:21:18.400 --> 0:21:20.400
<v Speaker 2>like you know, so they want to do their goal.

0:21:20.880 --> 0:21:23.320
<v Speaker 2>That's not actually their mandate, right, their mandate is essentially

0:21:23.320 --> 0:21:27.359
<v Speaker 2>to enforce good disclosure. So like if you disclose a

0:21:27.400 --> 0:21:30.160
<v Speaker 2>really bad idea, then you can do that even if

0:21:30.520 --> 0:21:32.480
<v Speaker 2>it's a bad idea, even if the SEC doesn't.

0:21:32.240 --> 0:21:33.920
<v Speaker 1>Like it, as long as you're super upfront.

0:21:34.080 --> 0:21:36.919
<v Speaker 2>Yeah, and like there are limits on that. Many of

0:21:36.920 --> 0:21:39.520
<v Speaker 2>them discovered in crypto where you were like a lot

0:21:39.520 --> 0:21:41.160
<v Speaker 2>of people in crit are like this is a Ponzi scheme.

0:21:41.280 --> 0:21:43.440
<v Speaker 2>It's just like come on now. But so, like one

0:21:43.440 --> 0:21:47.040
<v Speaker 2>thing that happens is that the SEC is very interested

0:21:47.080 --> 0:21:50.160
<v Speaker 2>in climate change. Right in environmental investing, there's a lot

0:21:50.160 --> 0:21:53.400
<v Speaker 2>of focus on ESG investing, environmental, social and governance investing,

0:21:53.920 --> 0:21:56.040
<v Speaker 2>and there are a lot of people who think that

0:21:56.840 --> 0:22:00.920
<v Speaker 2>the firms that do that kind of investing are somehow

0:22:01.400 --> 0:22:06.000
<v Speaker 2>not doing it well. There's concerns about greenwashing where you

0:22:06.040 --> 0:22:08.600
<v Speaker 2>say you are an environmental investing firm, but then you

0:22:08.600 --> 0:22:11.840
<v Speaker 2>own some coal stocks, and like people get mad about that,

0:22:12.920 --> 0:22:15.280
<v Speaker 2>and the SEC gets mad about it too. The SEC

0:22:15.320 --> 0:22:19.120
<v Speaker 2>can't say things like if you say you're an ESG firm,

0:22:19.160 --> 0:22:22.120
<v Speaker 2>you can't own coal stocks because like who's to say

0:22:22.240 --> 0:22:23.840
<v Speaker 2>what is ESG not the SEC?

0:22:23.880 --> 0:22:26.560
<v Speaker 1>Also, maybe that coal company has really great governance.

0:22:26.640 --> 0:22:28.760
<v Speaker 2>No, but it's true, like these are fuzzy criteria, right,

0:22:28.880 --> 0:22:31.560
<v Speaker 2>so you could truly be like the best ESG investor

0:22:31.560 --> 0:22:33.000
<v Speaker 2>in the world and on a col stock. That's what

0:22:33.600 --> 0:22:37.639
<v Speaker 2>is an example everywhere, Like you know, oil companies, good governance,

0:22:37.680 --> 0:22:40.480
<v Speaker 2>oil companies that are improving their emissions so they're better

0:22:40.520 --> 0:22:42.399
<v Speaker 2>than you know, Like, there's all sorts of ways to

0:22:42.400 --> 0:22:44.000
<v Speaker 2>be an ESG investor, and a lot of people have

0:22:44.040 --> 0:22:47.479
<v Speaker 2>like genuine disagreements about what to prioritize and how to

0:22:47.600 --> 0:22:50.479
<v Speaker 2>choose between like owning the best oil company to encourage

0:22:50.480 --> 0:22:53.320
<v Speaker 2>oil companies to be better environmental citizens, or owning no

0:22:53.359 --> 0:22:55.840
<v Speaker 2>oil companies because they're all too you know, there's all

0:22:55.840 --> 0:22:58.320
<v Speaker 2>sorts of ways to do it, and the SEC doesn't

0:22:58.359 --> 0:23:02.000
<v Speaker 2>really substantively get to pick between them. But what it

0:23:02.040 --> 0:23:04.359
<v Speaker 2>does get to do is read your disclosures and make

0:23:04.400 --> 0:23:07.159
<v Speaker 2>sure they're accurate. And so it has broad cases against

0:23:07.160 --> 0:23:11.080
<v Speaker 2>like I think Bonie Mellon had a ESG fund where

0:23:11.080 --> 0:23:13.800
<v Speaker 2>they're like, you know, we have these ESG screening criteria

0:23:14.119 --> 0:23:16.720
<v Speaker 2>and we apply these criteria to each company before we

0:23:16.720 --> 0:23:19.240
<v Speaker 2>make an investment. And they went through their you know,

0:23:19.280 --> 0:23:22.400
<v Speaker 2>internal records and found that sometimes they made an investment

0:23:22.720 --> 0:23:25.480
<v Speaker 2>without getting a memo about the criteria, and they said, ahaha,

0:23:25.520 --> 0:23:28.399
<v Speaker 2>you're not actually doing your ESG investing, And so they

0:23:28.440 --> 0:23:30.720
<v Speaker 2>find them and they got in trouble, and like that's

0:23:31.080 --> 0:23:33.960
<v Speaker 2>the level of enforcement that the SEC can do, and

0:23:34.440 --> 0:23:37.879
<v Speaker 2>it's I think frustrating for them because they probably have

0:23:38.000 --> 0:23:41.120
<v Speaker 2>sub substantive ideas about who's doing a good job or not. Anyway,

0:23:41.480 --> 0:23:45.280
<v Speaker 2>this week, a company called Inspire Investing paid a fine

0:23:45.280 --> 0:23:49.800
<v Speaker 2>to the SEC because they advertised that they were applying

0:23:49.840 --> 0:23:53.359
<v Speaker 2>biblical principles to their investing and they were like doing

0:23:53.400 --> 0:23:56.680
<v Speaker 2>a rigorous screening to root out companies that had practices

0:23:56.720 --> 0:23:59.640
<v Speaker 2>they didn't like, and the SEC discovered that they weren't

0:23:59.680 --> 0:24:01.840
<v Speaker 2>doing as goes the screening as they wanted, and so they.

0:24:01.760 --> 0:24:04.719
<v Speaker 1>Find them some money three hundred thousand dollars to be exact.

0:24:04.800 --> 0:24:07.280
<v Speaker 1>I love this story. You called it Bible washing, and

0:24:07.400 --> 0:24:08.000
<v Speaker 1>I think that's the.

0:24:08.400 --> 0:24:11.200
<v Speaker 2>Grands Green question. But for biblical investing.

0:24:11.040 --> 0:24:13.000
<v Speaker 1>Yeah, I like this story and I like all the

0:24:13.720 --> 0:24:16.080
<v Speaker 1>I don't know the ESG parallels.

0:24:16.480 --> 0:24:18.760
<v Speaker 2>It's completely the same thing, right, I mean, it's this

0:24:18.960 --> 0:24:21.800
<v Speaker 2>sort of broad category of like people who are investing

0:24:22.240 --> 0:24:25.160
<v Speaker 2>for things other than financial returns. Right. They're telling investors,

0:24:25.240 --> 0:24:27.520
<v Speaker 2>we're doing your investing in some social way that you like.

0:24:27.880 --> 0:24:30.200
<v Speaker 2>A big chunk of that is ESG investing where people

0:24:30.200 --> 0:24:32.639
<v Speaker 2>care about climate change or whatever. But another chunk of

0:24:32.640 --> 0:24:36.840
<v Speaker 2>it is you know, conservative biblical principles investing where people

0:24:36.840 --> 0:24:39.400
<v Speaker 2>care about other things. And the SEC says, no matter

0:24:39.440 --> 0:24:42.960
<v Speaker 2>what you're doing, you have to disclose it accurately and

0:24:43.280 --> 0:24:44.960
<v Speaker 2>follow the procedures you say you're following.

0:24:45.040 --> 0:24:48.680
<v Speaker 1>Yeah, let's just read from this excerpt from Money Stuff.

0:24:48.720 --> 0:24:52.160
<v Speaker 1>So Inspire had the Inspire Impact score, which quote reflects

0:24:52.200 --> 0:24:57.439
<v Speaker 1>a rules based, scientifically rigorous methodology of faith based ESG analysis,

0:24:57.600 --> 0:25:01.000
<v Speaker 1>which is interesting. There's some tension between science and religion,

0:25:01.040 --> 0:25:03.760
<v Speaker 1>but in any case, this creates a level of consistency

0:25:03.800 --> 0:25:08.000
<v Speaker 1>and reliability of results necessary for making well informed, quantitatively sound,

0:25:08.080 --> 0:25:12.800
<v Speaker 1>biblically responsible investment decisions. And then the SEC checked the

0:25:12.840 --> 0:25:15.879
<v Speaker 1>donor lists. Caught a bit of a contradiction as you

0:25:15.960 --> 0:25:18.800
<v Speaker 1>lay out that certain companies that were excluded from Inspires

0:25:18.880 --> 0:25:23.000
<v Speaker 1>Investment Universe for donating to certain advocacy organizations are sponsoring

0:25:23.040 --> 0:25:27.200
<v Speaker 1>certain events that Inspired consider to be prohibited activities. At

0:25:27.200 --> 0:25:29.760
<v Speaker 1>the same time, multiple companies held within the inspired ETF

0:25:29.800 --> 0:25:33.720
<v Speaker 1>portfolios donated to organizations or sponsored events that were the

0:25:33.760 --> 0:25:36.920
<v Speaker 1>same or similar. So a three hundred thousand dollars fine.

0:25:37.600 --> 0:25:39.840
<v Speaker 1>These ETFs are still out there. We could buy and

0:25:39.880 --> 0:25:40.560
<v Speaker 1>sell them today.

0:25:41.200 --> 0:25:43.160
<v Speaker 2>And in fact, Inspire put out a press release about

0:25:43.160 --> 0:25:47.120
<v Speaker 2>this saying we are grateful to receive guidance from the

0:25:47.160 --> 0:25:50.879
<v Speaker 2>SEC on what it considers important regarding modern faith based

0:25:50.880 --> 0:25:54.960
<v Speaker 2>investment screening, and the SEC order takes no issue with

0:25:55.000 --> 0:25:59.280
<v Speaker 2>the conservative biblical values Inspire applies to screening categories like

0:25:59.480 --> 0:26:01.800
<v Speaker 2>they're going to keep doing this. They're just gonna, yeah,

0:26:01.800 --> 0:26:04.479
<v Speaker 2>they are, you know, Like what they advertise is like

0:26:04.680 --> 0:26:08.520
<v Speaker 2>all of our investments have no involvement in you know,

0:26:08.760 --> 0:26:12.520
<v Speaker 2>gearats organizations or abortion rights, and the SEC found that

0:26:12.560 --> 0:26:14.120
<v Speaker 2>some of them did, and so they're gonna like clean

0:26:14.200 --> 0:26:16.520
<v Speaker 2>up their act and be more accurate about screening out

0:26:16.560 --> 0:26:19.239
<v Speaker 2>companies that don't meet their criteria. But the SEC, as

0:26:19.280 --> 0:26:21.320
<v Speaker 2>they say, took no issue with their criteria. Right, if

0:26:21.320 --> 0:26:24.879
<v Speaker 2>you say you're going to exclude companies that contribute to

0:26:24.880 --> 0:26:27.199
<v Speaker 2>garage charities, then you just have to do that, and

0:26:27.240 --> 0:26:28.439
<v Speaker 2>then the SEC will bless it.

0:26:28.640 --> 0:26:31.000
<v Speaker 1>I almost said, hell, yeah, they're going to keep doing it.

0:26:31.119 --> 0:26:31.679
<v Speaker 3>Do you get it?

0:26:33.720 --> 0:26:37.080
<v Speaker 1>So one of these ETFs, bibl is the ticker, it's

0:26:37.080 --> 0:26:40.720
<v Speaker 1>this Inspire one hundred ETF. The CTF still exists. I

0:26:40.760 --> 0:26:43.960
<v Speaker 1>took a look at the performance it's doing. Okay, it's

0:26:44.040 --> 0:26:47.120
<v Speaker 1>up sixteen percent year to date on a total return basis.

0:26:47.240 --> 0:26:51.360
<v Speaker 1>By for comparison purposes is up twenty one percent. Its

0:26:51.440 --> 0:26:57.640
<v Speaker 1>top holdings are Caterpillar, Intuitive, Surgical, Progressive, et cetera. Its

0:26:57.640 --> 0:27:02.199
<v Speaker 1>top industry groups are reads, software, and healthcare. All you know,

0:27:02.720 --> 0:27:03.479
<v Speaker 1>holy stuff.

0:27:04.520 --> 0:27:08.440
<v Speaker 2>My point here is that neither the SEC nor I

0:27:08.480 --> 0:27:11.920
<v Speaker 2>can make any comment on whether this is holy stuff

0:27:12.000 --> 0:27:12.199
<v Speaker 2>or not.

0:27:13.080 --> 0:27:17.840
<v Speaker 1>So I do think the idea of principle based investing

0:27:17.920 --> 0:27:21.400
<v Speaker 1>is really interesting, and that's what this is that's what

0:27:21.920 --> 0:27:25.960
<v Speaker 1>ESG is, But why people do it is really interesting

0:27:26.000 --> 0:27:29.359
<v Speaker 1>to me. Like if you're investing along your values because

0:27:29.440 --> 0:27:31.680
<v Speaker 1>you don't want to invest in stuff that goes against

0:27:31.720 --> 0:27:34.520
<v Speaker 1>your value sure, or are you investing because you think

0:27:34.560 --> 0:27:38.600
<v Speaker 1>that your values will produce better returns. That's a really

0:27:38.600 --> 0:27:40.639
<v Speaker 1>interesting school of thought. Like if you believe that a

0:27:40.680 --> 0:27:46.680
<v Speaker 1>company is environmentally conscious and sound and will whether climate

0:27:46.760 --> 0:27:49.119
<v Speaker 1>change better than other companies, that could be a reason

0:27:49.440 --> 0:27:53.040
<v Speaker 1>that you invest Do you invest in this fund because

0:27:53.080 --> 0:27:58.439
<v Speaker 1>you believe that these biblically responsible companies are going to

0:27:58.480 --> 0:28:00.480
<v Speaker 1>do better than the one that aren't.

0:28:01.200 --> 0:28:03.520
<v Speaker 2>I haven't read enough of marketing literature to know, but

0:28:03.560 --> 0:28:07.320
<v Speaker 2>I think I think in ESG, I think asset managers

0:28:07.560 --> 0:28:11.520
<v Speaker 2>benefit a lot by kind of blurring that and sort

0:28:11.520 --> 0:28:14.600
<v Speaker 2>of hinting that you're getting both right, like you're getting

0:28:14.600 --> 0:28:17.520
<v Speaker 2>to live your values and you're also getting a higher return.

0:28:17.960 --> 0:28:21.239
<v Speaker 2>And I think like there's not really a contradiction between them,

0:28:21.240 --> 0:28:24.439
<v Speaker 2>because like you could easily believe that, like you have

0:28:24.560 --> 0:28:28.480
<v Speaker 2>these values, your values are right. Over time, other people

0:28:28.520 --> 0:28:30.680
<v Speaker 2>will come around to your values. And when other people

0:28:30.680 --> 0:28:33.720
<v Speaker 2>come around to your values, that will increase the stock

0:28:33.760 --> 0:28:36.200
<v Speaker 2>prices of companies that share those values, right, Like, that's

0:28:36.240 --> 0:28:38.480
<v Speaker 2>a fairly consistent thing to believe, and you could believe

0:28:38.520 --> 0:28:41.960
<v Speaker 2>that about, you know, environmental or biblical things. I don't

0:28:41.960 --> 0:28:45.080
<v Speaker 2>think you have to analyze it rigorously to say, like,

0:28:45.120 --> 0:28:47.360
<v Speaker 2>the companies that I believe in are also the companies

0:28:47.400 --> 0:28:49.360
<v Speaker 2>I'll go up because you could believe that, you know,

0:28:49.560 --> 0:28:53.560
<v Speaker 2>without either ESG or biblical principles. Yeah, you could be

0:28:53.680 --> 0:28:55.920
<v Speaker 2>like I really like Taco Bells. I think Taco bell

0:28:55.960 --> 0:28:56.720
<v Speaker 2>stock will go up.

0:28:57.240 --> 0:29:01.120
<v Speaker 1>So we're talking about BBL. They have amazing other tickers

0:29:01.120 --> 0:29:08.040
<v Speaker 1>as well, wwj D, what would John do? They also

0:29:08.080 --> 0:29:10.320
<v Speaker 1>have the ticker g l r.

0:29:10.520 --> 0:29:11.600
<v Speaker 2>Y walking away from.

0:29:11.520 --> 0:29:17.160
<v Speaker 1>The hie so so but yeah, no, the ticker game

0:29:17.200 --> 0:29:17.640
<v Speaker 1>is strong.

0:29:19.040 --> 0:29:20.520
<v Speaker 2>And that was the Money Stuff Podcast.

0:29:20.640 --> 0:29:22.640
<v Speaker 1>I'm Matt Levi and I'm Katie Greifeld.

0:29:23.040 --> 0:29:25.080
<v Speaker 2>You can find my work by subscribing to the Money

0:29:25.120 --> 0:29:27.600
<v Speaker 2>Stuff newsletter on Bloomberg dot com.

0:29:27.280 --> 0:29:29.760
<v Speaker 1>And you can find me on Bloomberg TV every day

0:29:29.840 --> 0:29:32.920
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0:29:45.880 --> 0:29:48.680
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0:29:48.760 --> 0:29:49.840
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0:29:57.040 --> 0:29:59.360
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