WEBVTT - 8/11/26: China Shuts Down Billionaire, FP Defends Flock, Hidden AI Bailout

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<v Speaker 3>dot com. Turning out to China, this story absolutely captivated

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<v Speaker 3>me and is really picking me think a lot about

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<v Speaker 3>their system versus ours. Let's put it up here on

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<v Speaker 3>the screen, see one. So in China, the headline that

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<v Speaker 3>The Wall Street Journal rights is this billionaire becomes China's

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<v Speaker 3>Charles Schwab quote ben Beijing crackdown leaf lea Futu brokerage

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<v Speaker 3>has become a central target in the government's campaign to

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<v Speaker 3>control the flow of Chinese money offshore. So leef Lee

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<v Speaker 3>said his inspiration came from Charles Schwab. Within a decade,

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<v Speaker 3>he built a company that spanned all of China, Hong Kong,

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<v Speaker 3>Asian markets, and the US. Like his American idol, Lee

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<v Speaker 3>pivoted from simple trading to managing clients well.

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<v Speaker 1>Through mutual funds and advisory services.

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<v Speaker 3>Now Lee's ambition is colliding with Chinese authority. His company,

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<v Speaker 3>Futu Holdings, has become a central target in the state's

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<v Speaker 3>crackdown on the flow of Chinese money offshore. Authorities in

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<v Speaker 3>May handed the NASDAQ listed Futu a two hundred and

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<v Speaker 3>seventy one million dollars penalty for offering brokerage services and

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<v Speaker 3>mutual funds to customers and mainland China without a license,

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<v Speaker 3>and that action included a personal fine for Lee. The

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<v Speaker 3>news obviously sent their per share price down thirty percent

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<v Speaker 3>in a single day and now has a market cap

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<v Speaker 3>of less than fifteen billion. But the quote the fall

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<v Speaker 3>in the share price is knocked hundreds of millions of

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<v Speaker 3>dollars off of Lee's network, which is now at roughly

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<v Speaker 3>five point seven What they point to, though, generally, is

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<v Speaker 3>that this regularatory action against this company is a way

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<v Speaker 3>for the previously China's tech elite, As they explained, we're

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<v Speaker 3>able to list their companies in Hong Kong and then

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<v Speaker 3>mint fortunes offshore beyond the reach of Chinese authorities. What

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<v Speaker 3>this does is they have completely shut that down any

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<v Speaker 3>foreign flight of capital, and they said that they will

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<v Speaker 3>continue to tax offshore trusts previously, which is a very

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<v Speaker 3>popular tool for a lot of these Chinese investors. But

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<v Speaker 3>the reason why that they went after this company specifically,

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<v Speaker 3>and like kind of the story of this entire takedown

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<v Speaker 3>is that Chinese authorities, at the end of the day

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<v Speaker 3>are like, no, you do not get to offer securities

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<v Speaker 3>and tax advantages to a bunch of our rich people

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<v Speaker 3>without suffering the consequences and operating under a license. So

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<v Speaker 3>you know before that this guy was like a global

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<v Speaker 3>celebrity and the Wall Street Journal takedown really of this

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<v Speaker 3>is like, this is the story of there's a lot

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<v Speaker 3>of Chinese billionaires which basically were inspired to recreate, recreate

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<v Speaker 3>many of the rapacious capitalist industries of the United States. Literally,

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<v Speaker 3>the guy says, Charles Schwab was my idol.

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<v Speaker 1>Right.

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<v Speaker 3>They did the same with Google, they did the same

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<v Speaker 3>with Uber. I think it's called d d over there.

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<v Speaker 3>Like you know, basically because China would ban our services,

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<v Speaker 3>they would just recreate them. But what the Chinese state

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<v Speaker 3>saw is that those fundamentally were threats to the power

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<v Speaker 3>of the state. And so while they let them grow

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<v Speaker 3>and initially they were happy with a lot of their

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<v Speaker 3>wealth accumulation, they eventually come to see the Jackms and

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<v Speaker 3>Ali Baba's and this Futu and all of these other

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<v Speaker 3>billionaires as tools of like a globalist class which are

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<v Speaker 3>fundamentally loyal to capital and to the rest of the

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<v Speaker 3>world into the state. And so what they've done is

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<v Speaker 3>they've come in and cracked down dramatically and sent a

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<v Speaker 3>message to their entire billionaire classes like you work for us,

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<v Speaker 3>and whatever we tell you to do, when we tell

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<v Speaker 3>you to jump, you're going to say how high?

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<v Speaker 1>I mean? You know, it's complicated, like you know, we

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<v Speaker 1>want freedom, et cetera.

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<v Speaker 3>But like, how can you not admire like this system

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<v Speaker 3>where you've got these filthy rich people. All they're doing

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<v Speaker 3>is just helping, you know, like this company. It seems

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<v Speaker 3>like a big part of their cell was just like, hey,

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<v Speaker 3>if you're rich, let me get your money off into

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<v Speaker 3>a tax haven. And they came there like, oh, that's

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<v Speaker 3>not happening at all and then just shut it down completely,

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<v Speaker 3>and they all snap into line, like that's about preserving

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<v Speaker 3>the primacy of the state. Now, obviously there's an undemocratic state,

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<v Speaker 3>but the tool and the mechanism of that is something

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<v Speaker 3>which you can't help but admire the seriousness which they

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<v Speaker 3>take their endeavor of sovereignty. They're like, we run shit.

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<v Speaker 3>The government is a person ultimately that you will be

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<v Speaker 3>accountable to. You do not get to create these private

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<v Speaker 3>next seas of wealth which ultimately will challenge our authority,

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<v Speaker 3>and like, that's how it should be in my opinion.

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<v Speaker 2>You can't help but admire the lack of corruption that

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<v Speaker 2>this that this indicates, because you could not imagine a

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<v Speaker 2>service that not only was run by a powerful, very

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<v Speaker 2>wealthy person, but then is servicing all of the powerful

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<v Speaker 2>wealthy Americans that our government would come.

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<v Speaker 4>In and say, oh no, you can't do that, we're

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<v Speaker 4>shutting this all down.

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<v Speaker 2>Sorry, entire billionaire class would never happen here because of

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<v Speaker 2>our own democratic failures and the way that oligarchy, the

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<v Speaker 2>aligarchy has been allowed to buy our political system, and

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<v Speaker 2>money has been equated with speech. So you look at

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<v Speaker 2>that and you're like, wow, that's possible for you. That

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<v Speaker 2>is wild, regardless of whether you think it's the right

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<v Speaker 2>policy or not. But to your point, it's not just

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<v Speaker 2>that they were moving their money into tax havens. It's

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<v Speaker 2>also that they were investing their money in other global

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<v Speaker 2>companies outside of China. So you know, they were buying

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<v Speaker 2>stocks in American AI companies. A lot of this was

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<v Speaker 2>heavily invested in, you know, the AI American stock boom.

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<v Speaker 2>And so this is also no you can invest you

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<v Speaker 2>can invest in Chinese companies here at home. That's what

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<v Speaker 2>you are allowed to do, and we're going to actually

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<v Speaker 2>enforce it and make sure that that is the case.

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<v Speaker 2>They've also instituted policies not just in this regard, but

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<v Speaker 2>to make sure that their top graph are not by

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<v Speaker 2>and large going into Wall Street type financial engineering, that

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<v Speaker 2>they are much more focused on STEM and technology, and

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<v Speaker 2>as a result, the number of engineers that they graduate

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<v Speaker 2>every year vastly.

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<v Speaker 4>Exceeds I mean it's not even close.

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<v Speaker 2>It's multiples of times more than what we graduate here

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<v Speaker 2>in the United States. And then that also has led

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<v Speaker 2>to Okay, now you've got the best in the bartist

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<v Speaker 2>minds not going in to create some new exotic derivative

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<v Speaker 2>that basically crashes the economy and exploits for people. They're

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<v Speaker 2>going to develop technology, and that's why China on almost

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<v Speaker 2>every technological frontier development is leading us.

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<v Speaker 4>I was just saying in humanoid.

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<v Speaker 2>Robotics, they have like ninety eight percent of the market, Like,

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<v Speaker 2>we're not even competing there. The only thing we fit

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<v Speaker 2>focus on is AI, where our frontier labs are a

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<v Speaker 2>little bit a little bit ahead of them. But even that,

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<v Speaker 2>you ask how long is that going to be the case.

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<v Speaker 2>There's nothing that says that we're going to maintain that

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<v Speaker 2>lead forever.

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<v Speaker 4>So it's just a completely.

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<v Speaker 2>Different orientation of their priorities, of their politicist.

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<v Speaker 3>The crackdown is meant to fit funnel Chinese individual investors

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<v Speaker 3>into licensed platforms where the people can trade only on

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<v Speaker 3>China's domestic stock exchanges. Citizens are also permitted to invest overseas,

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<v Speaker 3>but mainly through government approved methods that return any profits

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<v Speaker 3>in Wand so they're like, look, sure you can invest abroad,

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<v Speaker 3>it will be under a domestically licensed platform. The profit

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<v Speaker 3>has to be delivered in Wan because we don't want

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<v Speaker 3>currency problems. Again, like what they're focused on principally is sovereignty.

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<v Speaker 3>That's at the end of the day, Like, that's what

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<v Speaker 3>our biggest problem is here. Like if we have the

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<v Speaker 3>biggest tension that we've always had, this is between the

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<v Speaker 3>capital billionaire globalist class, which cares much more about making

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<v Speaker 3>money than about their own citizens. That has always been

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<v Speaker 3>our dance with democracy and with capitalism. Part of what

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<v Speaker 3>we've seen over the last twenty five years is many

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<v Speaker 3>of these people believe of themselves as transnational entities of

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<v Speaker 3>which their only job is to preserve shareholder value, and

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<v Speaker 3>they don't give two shits about the American world. And

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<v Speaker 3>the only person that that American worker can look to

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<v Speaker 3>is their government to make sure that those people are

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<v Speaker 3>kept in check and to make sure that some of

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<v Speaker 3>this extraordinary profit will also have ancillary benefit to the

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<v Speaker 3>median American beyond your four oh one k going up

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<v Speaker 3>when fifty percent of the country doesn't have four oh

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<v Speaker 3>one k. Compare it then to our system, which kind

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<v Speaker 3>of looks like the old Chinese system. Let's put C

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<v Speaker 3>two up here on the screen.

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<v Speaker 1>Here's Trump. This is the latest story from Trump.

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<v Speaker 5>Quote.

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<v Speaker 3>The curious case of Guran Bobby Zoo shows the ease

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<v Speaker 3>with which investors with shady backgrounds and unknown motivations can

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<v Speaker 3>funnel money to the president. They say Trump Crypto took

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<v Speaker 3>one hundred million dollars with businessman from a businessman with

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<v Speaker 3>red flags, and they specifically point to this photo at

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<v Speaker 3>the World Cup where you have Zach Witcoff, who's the

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<v Speaker 3>son of Steve Witcoff, in a private suite at the

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<v Speaker 3>World Cup with this investor, Bobby Zoo two years earlier.

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<v Speaker 1>Apparently, Quote was.

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<v Speaker 3>A fail build hardwood flooring retailer in Britain who had

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<v Speaker 3>come under investigation for money laundering and presided over the

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<v Speaker 3>collapse of a small crypto startup. Out of nowhere, he

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<v Speaker 3>became one of the biggest buyers of tokens from World

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<v Speaker 3>Liberty Financial, dropping a total of one hundred million dollars

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<v Speaker 3>to a firm called Aqua. I kept it quiet for months,

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<v Speaker 3>other than briefly speaking as mister Bobby on an audio

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<v Speaker 3>stream on x. However, as they dig into the curious

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<v Speaker 3>case of Zoo, illustrates the ease with which buyers from

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<v Speaker 3>unknown backgrounds motivations can use the anonymity of crypto to

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<v Speaker 3>shower mister Trump with money. The President's recent financial disclosure

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<v Speaker 3>form shows he collected one point four billion from crypto

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<v Speaker 3>businesses last year, the majority of it from anonymous sources.

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<v Speaker 3>It is not even clear how closely they scrutinized his

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<v Speaker 3>past and a money laundering investigation in England with publicly

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<v Speaker 3>available information, as reportions of Joao's troubled business history were

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<v Speaker 3>public record at the time that they decided to accept

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<v Speaker 3>his money. Now look to be clear, like he did

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<v Speaker 3>give the money. He did not respond to a request

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<v Speaker 3>for comment. We don't know about pay for play. I'm

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<v Speaker 3>not really sure why anybody gives somebody one hundred million

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<v Speaker 3>dollars as a president of the United States for no reason,

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<v Speaker 3>just my opinion whenever it comes to businesses. I just

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<v Speaker 3>saw today. You know how Trump's company is selling the

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<v Speaker 3>one hundred thousand dollars a month for first access to

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<v Speaker 3>his true social market moving posts. They have ten customers already,

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<v Speaker 3>so ten times one hundred thousand a month. That's a

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<v Speaker 3>healthy little profit line that you've created there purely off

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<v Speaker 3>of your own information and tool of power. You know,

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<v Speaker 3>in the state, like this is what China was like

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<v Speaker 3>in the nineteen nineties, and it's like we've seen a

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<v Speaker 3>reverse of what that system is looking.

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<v Speaker 2>At in this dude, No one knows where this money

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<v Speaker 2>came from. Literally, he left a wrap sheet of failed businesses,

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<v Speaker 2>was basically deported from the UK because his visa had expired,

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<v Speaker 2>and then he had this sort of money laundering allegations

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<v Speaker 2>hanging over his head and they were leg and no,

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<v Speaker 2>you got to go. He turns back up in Dubai

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<v Speaker 2>and suddenly out of nowhere, and we have no idea

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<v Speaker 2>where the money comes from. Is flush with this one

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<v Speaker 2>hundred million dollars to give to World Liberty Financial And

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<v Speaker 2>of course Trump and the sons and the wick Coughs

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<v Speaker 2>who are also involved in this, they don't ask a

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<v Speaker 2>single question this thank you for the money, sir, amazing

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<v Speaker 2>doing business with you and keeping it moving right along.

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<v Speaker 2>And as a public, we have no idea what this

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<v Speaker 2>man expects to get from that one hundred million dollars

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<v Speaker 2>or whoever he is representing, whoever he is the front

0:11:39.760 --> 0:11:44.079
<v Speaker 2>person for. We have no idea what strings this money

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<v Speaker 2>is coming with. And this is just another day under

0:11:48.559 --> 0:11:49.920
<v Speaker 2>the Trump regime, this.

0:11:49.880 --> 0:11:50.640
<v Speaker 1>Sort of story.

0:11:50.679 --> 0:11:52.400
<v Speaker 4>You could literally tell this.

0:11:52.440 --> 0:11:56.439
<v Speaker 2>Story every day of the week of some utterly shameless

0:11:56.600 --> 0:12:00.360
<v Speaker 2>level corrupt skeazy deal, and much of it to do

0:12:00.440 --> 0:12:03.640
<v Speaker 2>with Crypto in terms of the massive amount of increase

0:12:03.679 --> 0:12:07.320
<v Speaker 2>in wealth, the billions that he has been able to accumulate,

0:12:07.640 --> 0:12:10.600
<v Speaker 2>Justin's coming back into power in Trump two point zero,

0:12:10.920 --> 0:12:14.160
<v Speaker 2>so very extraordinary. There's another story we wanted to highlight here,

0:12:14.360 --> 0:12:17.840
<v Speaker 2>which is wild, so we covered before Dear to our hearts,

0:12:18.600 --> 0:12:22.960
<v Speaker 2>Jared Kushner and Avanka were on the yacht you can't

0:12:22.960 --> 0:12:25.360
<v Speaker 2>even tell this story without just sounding anti Semitic, on

0:12:25.440 --> 0:12:32.280
<v Speaker 2>a Rothschild yacht and discovered, like their Christopher Columbus, this island,

0:12:32.640 --> 0:12:35.240
<v Speaker 2>Albanian island that oh my god, it would make Avonka's

0:12:35.320 --> 0:12:38.079
<v Speaker 2>dreams come true to develop into some sort of luxury property.

0:12:38.120 --> 0:12:40.679
<v Speaker 2>And talking about this thing, we played the video before, well,

0:12:40.679 --> 0:12:44.320
<v Speaker 2>the people of Albani were like, no, this is our island.

0:12:44.360 --> 0:12:47.079
<v Speaker 2>We don't want you there. And as part of this

0:12:47.320 --> 0:12:51.640
<v Speaker 2>island deal, they are also buying buying property on this

0:12:52.360 --> 0:12:56.360
<v Speaker 2>nearby peninsula. And now we're finding out more about the

0:12:56.720 --> 0:13:01.360
<v Speaker 2>incredibly sketchy, to say the least, characters who are involved

0:13:01.480 --> 0:13:05.120
<v Speaker 2>in this transaction that Kushner quote unquote bought this land

0:13:05.160 --> 0:13:06.839
<v Speaker 2>for from put this up in the scream from the

0:13:06.880 --> 0:13:11.400
<v Speaker 2>Wall Street Journal. Okay, the suspected gangster causing headaches for

0:13:11.480 --> 0:13:14.720
<v Speaker 2>Kushner's Albania deal. I won't go through all of the

0:13:14.720 --> 0:13:18.199
<v Speaker 2>insid outs here, but the TLDR is this dude, our Torchi,

0:13:18.280 --> 0:13:23.520
<v Speaker 2>who is accused of not only being a money launderer,

0:13:23.600 --> 0:13:28.560
<v Speaker 2>not only of having created forged fake documents to claim

0:13:28.640 --> 0:13:31.200
<v Speaker 2>that he owns this peninsula land that the local say

0:13:31.240 --> 0:13:33.319
<v Speaker 2>he does not actually own, and this is apparently common

0:13:33.320 --> 0:13:36.119
<v Speaker 2>problem by the way, in Albania. He also is accused

0:13:36.559 --> 0:13:40.960
<v Speaker 2>drunk trafficker and human smuggler. Okay, that's who Kushner is

0:13:41.240 --> 0:13:46.560
<v Speaker 2>quote unquote buying this Albanian property for so you know,

0:13:46.800 --> 0:13:51.240
<v Speaker 2>just the sketchiest most corrupt dealings you can possibly imagine,

0:13:51.240 --> 0:13:53.280
<v Speaker 2>whether it's here, whether it's in the Middle East, whether

0:13:53.280 --> 0:13:55.600
<v Speaker 2>it's through Crypto, whether it's through Trump.

0:13:55.320 --> 0:13:58.319
<v Speaker 4>And the pardon the.

0:13:57.720 --> 0:14:01.000
<v Speaker 2>Pardon for sale shop that he is set up in

0:14:01.040 --> 0:14:05.200
<v Speaker 2>his second administration. The list goes on and on, but

0:14:05.440 --> 0:14:08.640
<v Speaker 2>no surprise that you've got this kind of incredibly sketchy

0:14:08.800 --> 0:14:12.120
<v Speaker 2>gangster who is deeply enmeshed in this Albanian situation.

0:14:12.160 --> 0:14:14.559
<v Speaker 3>As you said, my favorite part of the story, by

0:14:14.559 --> 0:14:16.800
<v Speaker 3>the way, is what you highlighted is that one chunk

0:14:16.840 --> 0:14:19.280
<v Speaker 3>of land was secured by one of shay Who's lawyers

0:14:19.280 --> 0:14:23.560
<v Speaker 3>in seven by presenting property officials with a mistranslated Ottoman

0:14:23.720 --> 0:14:28.120
<v Speaker 3>era land record while translating from Ottoman Turkish and archivist

0:14:28.280 --> 0:14:32.760
<v Speaker 3>substituted the original owner and inserted his name instead. Court

0:14:32.960 --> 0:14:37.119
<v Speaker 3>later found that is apparently how property is disputed in Albania,

0:14:37.160 --> 0:14:40.640
<v Speaker 3>which is incredible, incredible, All right, Let's get to the

0:14:40.680 --> 0:14:46.440
<v Speaker 3>next one, turning down to flock cameras, which in my opinion,

0:14:46.600 --> 0:14:49.880
<v Speaker 3>is the new data center issue. Every locality in the

0:14:49.960 --> 0:14:53.840
<v Speaker 3>nation having a discussion around these privacy invasion and the

0:14:53.920 --> 0:14:57.520
<v Speaker 3>ubiquity of these cameras everywhere, and they're pairing with police

0:14:57.760 --> 0:15:02.560
<v Speaker 3>powers now becoming a matter significant political controversy all the

0:15:02.560 --> 0:15:05.160
<v Speaker 3>way up to the federal level. Of course, that's going

0:15:05.200 --> 0:15:08.040
<v Speaker 3>to invite certain people to defend them, one of them

0:15:08.080 --> 0:15:09.640
<v Speaker 3>being Barry Weise's Free Press.

0:15:09.880 --> 0:15:10.640
<v Speaker 1>Let's take a listen.

0:15:11.080 --> 0:15:13.720
<v Speaker 6>Do you ever feel like your block That's the panic

0:15:13.760 --> 0:15:16.240
<v Speaker 6>behind a new fear sweeping across America.

0:15:16.280 --> 0:15:18.280
<v Speaker 4>People are freaked out about.

0:15:18.000 --> 0:15:21.840
<v Speaker 6>Surveillance from our employers, our nannycams, and our phones watching

0:15:21.880 --> 0:15:24.280
<v Speaker 6>our every move and right now, this anxiety is being

0:15:24.320 --> 0:15:26.800
<v Speaker 6>taken out of electric saws, in cans of spray paint

0:15:26.920 --> 0:15:29.560
<v Speaker 6>on tools used by law enforcement to keep us all safe.

0:15:29.560 --> 0:15:33.280
<v Speaker 6>The target block safety cameras. In Upstate New York, someone

0:15:33.280 --> 0:15:35.960
<v Speaker 6>cut down a flock safety camera with an electric saw.

0:15:36.120 --> 0:15:39.560
<v Speaker 6>In Oakland, California, another was covered in King Tan In Idaho,

0:15:39.680 --> 0:15:42.360
<v Speaker 6>someone rammed one with their truck. And in good Old Florida,

0:15:42.440 --> 0:15:44.360
<v Speaker 6>a man just sits in his lawn chair with a

0:15:44.400 --> 0:15:47.680
<v Speaker 6>cardboard held up for the less. Since January, roughly twenty

0:15:47.680 --> 0:15:50.320
<v Speaker 6>three cities have handled their contracts or shut off their

0:15:50.360 --> 0:15:53.040
<v Speaker 6>block camera over a fourth amendumal Din service. There's even

0:15:53.040 --> 0:15:56.440
<v Speaker 6>an open source intelligence website deflock that's finding these cameras

0:15:56.440 --> 0:15:58.320
<v Speaker 6>so people know exactly where to vandalize them.

0:15:58.360 --> 0:15:59.960
<v Speaker 4>There's what's actually under attack.

0:16:00.160 --> 0:16:03.120
<v Speaker 7>In twenty twenty five alone, this system help lowly ten

0:16:03.160 --> 0:16:06.080
<v Speaker 7>thousand missing lays off about twenty seven people a day,

0:16:06.240 --> 0:16:09.760
<v Speaker 7>or about one every hour. Over forty percent of agencies

0:16:09.840 --> 0:16:12.600
<v Speaker 7>that block help recover over half of the stolen vehicles

0:16:12.600 --> 0:16:15.360
<v Speaker 7>in their jurisdiction. And Indiana, an infant abducted at a

0:16:15.360 --> 0:16:18.160
<v Speaker 7>shopping center was found in under two hours. In Ohio,

0:16:18.240 --> 0:16:20.720
<v Speaker 7>a missing girl was located in under thirty minutes, and

0:16:20.840 --> 0:16:23.160
<v Speaker 7>this is the tool that people are treating like the enemy.

0:16:23.200 --> 0:16:25.760
<v Speaker 7>It is fair to have concerns about how companies use

0:16:25.760 --> 0:16:28.080
<v Speaker 7>and track our data, but that's not what these cameras

0:16:28.120 --> 0:16:28.440
<v Speaker 7>are for.

0:16:28.600 --> 0:16:30.240
<v Speaker 5>To be blunt, they're not interested in.

0:16:30.200 --> 0:16:32.720
<v Speaker 6>You unless you're a kidnapper, a thief, or someone who

0:16:32.720 --> 0:16:33.640
<v Speaker 6>intends to do harm.

0:16:33.960 --> 0:16:36.520
<v Speaker 1>They're not interested in you unless what does it do

0:16:36.520 --> 0:16:39.240
<v Speaker 1>you need to comply? If you've got nothing to hide,

0:16:39.280 --> 0:16:40.120
<v Speaker 1>then why do you worry?

0:16:40.440 --> 0:16:43.960
<v Speaker 3>This is a vintage of privacy arguments from like the

0:16:44.120 --> 0:16:47.120
<v Speaker 3>War on Terror era, but this is where it actually

0:16:47.160 --> 0:16:49.680
<v Speaker 3>bears investigation. It's like, okay, are these claims even true.

0:16:49.760 --> 0:16:51.720
<v Speaker 3>Let's put the next one up here on the screen.

0:16:51.760 --> 0:16:54.040
<v Speaker 3>And we've gone through some of this before. One in

0:16:54.200 --> 0:16:57.760
<v Speaker 3>three alerts wrong, high error rates and data concerns for

0:16:58.000 --> 0:17:02.440
<v Speaker 3>cities to drop flock, a thirty two percent LAPD false

0:17:02.520 --> 0:17:05.760
<v Speaker 3>positive rate, and immigration data fears have pushed eighty two

0:17:05.920 --> 0:17:09.919
<v Speaker 3>contracts across twenty eight states to collapse. They say that

0:17:09.960 --> 0:17:13.280
<v Speaker 3>an LAPD audit reveals that FLOCK safety cameras produced a

0:17:13.320 --> 0:17:16.280
<v Speaker 3>thirty two point three percent false positive stolen vehicle alert

0:17:16.320 --> 0:17:20.320
<v Speaker 3>rate and at least eighty two municipalities have canceled them.

0:17:20.440 --> 0:17:23.439
<v Speaker 3>More than five thousand cities now currently have flock cameras,

0:17:23.520 --> 0:17:25.040
<v Speaker 3>which are scanning license plates.

0:17:25.320 --> 0:17:27.440
<v Speaker 1>Again, most residents never voted for it.

0:17:27.760 --> 0:17:31.600
<v Speaker 3>Thirty localities apparently just deactivated them since early twenty twenty five,

0:17:31.640 --> 0:17:33.720
<v Speaker 3>and that number continues to grow. But I feel like

0:17:33.760 --> 0:17:37.239
<v Speaker 3>that LAPD in particular, being one of the largest, what

0:17:37.280 --> 0:17:39.520
<v Speaker 3>is the second largest city in the nation, being one

0:17:39.560 --> 0:17:41.400
<v Speaker 3>of those who is going to come out and say, hey,

0:17:41.720 --> 0:17:43.800
<v Speaker 3>purely based on business reasons, I'm not going to put

0:17:43.840 --> 0:17:46.440
<v Speaker 3>morality in the LAPD. I don't think those two things

0:17:46.680 --> 0:17:49.520
<v Speaker 3>to go together. They're not like worried about privacy or

0:17:49.560 --> 0:17:52.320
<v Speaker 3>any of that. For them, it's pure business. They're like,

0:17:52.320 --> 0:17:54.160
<v Speaker 3>oh yeah, we've used it and it got a false

0:17:54.200 --> 0:17:56.600
<v Speaker 3>positive rate for stolen vehicle. We've covered some of the

0:17:56.640 --> 0:17:59.879
<v Speaker 3>stories here, terrifying incidents of people being pulled over and

0:18:00.200 --> 0:18:03.400
<v Speaker 3>finding themselves like either held at gunpoint or others being

0:18:03.440 --> 0:18:06.160
<v Speaker 3>accused of false posits or of having a stolen vehicle.

0:18:06.200 --> 0:18:09.280
<v Speaker 3>We covered previously the guy who drives cars like for

0:18:09.359 --> 0:18:12.679
<v Speaker 3>a living for dealership plates. He got surrounded by police

0:18:12.720 --> 0:18:15.160
<v Speaker 3>on some sort of a false incident, and I think

0:18:15.200 --> 0:18:17.760
<v Speaker 3>there's just like a bigger question like she talks about like, oh,

0:18:17.840 --> 0:18:20.080
<v Speaker 3>these companies are not interested in you, but they do

0:18:20.160 --> 0:18:23.040
<v Speaker 3>have all of the data, so they are interested. And

0:18:23.080 --> 0:18:25.000
<v Speaker 3>also it's not the government that has a data, it's

0:18:25.040 --> 0:18:27.639
<v Speaker 3>the private company themselves. They claim, you know that they

0:18:27.640 --> 0:18:30.119
<v Speaker 3>have to abide by X, Y and Z privacy record.

0:18:30.200 --> 0:18:32.000
<v Speaker 1>Is there an audit of it? Like what are the

0:18:32.040 --> 0:18:35.560
<v Speaker 1>internal controls? What exactly what you know?

0:18:35.680 --> 0:18:38.640
<v Speaker 3>Recourse do I have as a citizen to make sure

0:18:38.640 --> 0:18:40.719
<v Speaker 3>that that is not being improperly used?

0:18:40.960 --> 0:18:42.240
<v Speaker 1>And this is everywhere.

0:18:42.400 --> 0:18:45.560
<v Speaker 3>She also says deflock is an organization for people to

0:18:45.600 --> 0:18:49.520
<v Speaker 3>analyze that. Again, by that definition, ways is a terrorist

0:18:49.600 --> 0:18:53.480
<v Speaker 3>tool because I know where every cop is on I ninety.

0:18:53.160 --> 0:18:54.040
<v Speaker 4>Five that framing R.

0:18:54.560 --> 0:18:55.720
<v Speaker 1>That's what I thought, right, So.

0:18:55.720 --> 0:18:58.120
<v Speaker 3>Like they're like, oh, by just knowing where it is,

0:18:58.520 --> 0:19:01.000
<v Speaker 3>that in and of itself is a tool of vandalism.

0:19:01.040 --> 0:19:02.760
<v Speaker 3>I'm sure cops hate it when we mark them on

0:19:02.800 --> 0:19:04.440
<v Speaker 3>ways we do because we don't have a speeding ticket.

0:19:04.480 --> 0:19:05.920
<v Speaker 3>That doesn't make you a terrorist.

0:19:05.760 --> 0:19:06.240
<v Speaker 4>Right right?

0:19:06.320 --> 0:19:10.720
<v Speaker 2>Yeah, of course, And all of this has required obfuscation

0:19:11.440 --> 0:19:14.320
<v Speaker 2>in hiding from people what is actually happening in their

0:19:14.359 --> 0:19:15.240
<v Speaker 2>own towns.

0:19:15.520 --> 0:19:17.000
<v Speaker 4>So they do see deflock.

0:19:17.200 --> 0:19:19.440
<v Speaker 2>As you know, the CEO of a company who later

0:19:19.520 --> 0:19:24.080
<v Speaker 2>apologized called it a terroristic organization because it is providing

0:19:24.119 --> 0:19:27.600
<v Speaker 2>people with just transparency and information about what is happening

0:19:27.640 --> 0:19:29.720
<v Speaker 2>so that they can politically organize.

0:19:29.240 --> 0:19:30.720
<v Speaker 4>And act on it.

0:19:30.720 --> 0:19:34.880
<v Speaker 2>It is so dishonest in her little you know, vertical

0:19:34.960 --> 0:19:39.480
<v Speaker 2>video to not talk about any of the instances of

0:19:39.600 --> 0:19:42.320
<v Speaker 2>misuse that have been documented. I'm not even talking about

0:19:42.320 --> 0:19:44.280
<v Speaker 2>the false positives or police really think they got the

0:19:44.320 --> 0:19:45.760
<v Speaker 2>bad guy and then they come and will show you

0:19:45.800 --> 0:19:48.399
<v Speaker 2>one in a minute and create very dangerous situations.

0:19:48.440 --> 0:19:49.520
<v Speaker 4>By the way, not to mention.

0:19:49.440 --> 0:19:51.520
<v Speaker 2>This as a waste of police resources because they're going

0:19:51.560 --> 0:19:53.760
<v Speaker 2>after the wrong person. Meanwhile, the person whoever they're trying

0:19:53.800 --> 0:19:56.480
<v Speaker 2>to get is getting off scott free. I'm talking about

0:19:56.480 --> 0:19:59.560
<v Speaker 2>the fifty police officers who've been charged with abuse of

0:19:59.560 --> 0:20:03.639
<v Speaker 2>this system using this to stock. Tell me that Flock

0:20:03.720 --> 0:20:06.200
<v Speaker 2>is not interested in you unless you're a kidnapper or thief, etc.

0:20:06.880 --> 0:20:09.159
<v Speaker 2>Tell that to the woman who was stalked by her

0:20:09.280 --> 0:20:12.880
<v Speaker 2>abusive ex, whose child was also stalked by the abusive

0:20:13.080 --> 0:20:15.880
<v Speaker 2>X who'se you know, future partners also stocked. But I mean,

0:20:16.200 --> 0:20:20.040
<v Speaker 2>so it's so such incredibly dishonest and selective frame, and

0:20:20.119 --> 0:20:23.120
<v Speaker 2>she also uses the stats that come directly from the company.

0:20:23.480 --> 0:20:26.040
<v Speaker 2>Just this is like basically a flock camera press release

0:20:26.080 --> 0:20:28.840
<v Speaker 2>that they put together for the free press. To give

0:20:28.880 --> 0:20:32.360
<v Speaker 2>you another example here of you know, a really dangerous

0:20:32.400 --> 0:20:36.200
<v Speaker 2>situation because of a flock error. This is a local

0:20:36.440 --> 0:20:40.520
<v Speaker 2>news story about the wrong person being aggressively pulled over

0:20:40.640 --> 0:20:44.919
<v Speaker 2>on an interstate cops jumping out, guns drawn, and it

0:20:45.000 --> 0:20:45.800
<v Speaker 2>wasn't even the right person.

0:20:45.880 --> 0:20:48.280
<v Speaker 8>Let's take a look at that. This is dfour good morning.

0:20:48.359 --> 0:20:51.880
<v Speaker 8>Yeah quite the vix of Brookefield Police say they pulled

0:20:52.040 --> 0:20:57.720
<v Speaker 8>over a car because Flock Cabra flagged it for connection

0:20:58.000 --> 0:21:02.720
<v Speaker 8>to a Milwaukee homicide, and investigation will turns out quite

0:21:02.720 --> 0:21:06.120
<v Speaker 8>the mix up. Not just wrong person, but also wrong car.

0:21:06.200 --> 0:21:08.560
<v Speaker 8>Take a look again at that video that you see here.

0:21:08.600 --> 0:21:13.240
<v Speaker 8>You could see multiple squads on I ninety four in

0:21:13.359 --> 0:21:17.679
<v Speaker 8>Waukeshaw County, officers with guns drawn and a passenger sticking

0:21:17.720 --> 0:21:21.480
<v Speaker 8>their hands out the window. Police pulled over the car

0:21:21.800 --> 0:21:25.680
<v Speaker 8>after a flog camera flagged it again for Milwaukee homicide.

0:21:25.680 --> 0:21:30.520
<v Speaker 8>But when Brookfield police called Milwaukee, Milwaukee said they no

0:21:30.600 --> 0:21:33.320
<v Speaker 8>longer needed the car or the people inside, so officers

0:21:33.400 --> 0:21:36.080
<v Speaker 8>let them go. That's according to Brookfield Police.

0:21:36.680 --> 0:21:38.680
<v Speaker 4>Wow how long until this gets someone killed?

0:21:38.720 --> 0:21:41.000
<v Speaker 2>I mean, if you're a normal person, it reminds me

0:21:41.040 --> 0:21:43.080
<v Speaker 2>of the ice stops with like the you know, unmarked

0:21:43.119 --> 0:21:45.800
<v Speaker 2>vehicles where people think they're being carjacked. Like, if you're

0:21:45.800 --> 0:21:48.000
<v Speaker 2>a normal person, look, these are marked cars, so to

0:21:48.000 --> 0:21:52.240
<v Speaker 2>be fair here, but you're not expecting to have this

0:21:52.400 --> 0:21:55.400
<v Speaker 2>aggressive You're on an interstate and they're pinning you in

0:21:55.480 --> 0:21:58.640
<v Speaker 2>and coming out guns drawn. Most people don't know how

0:21:58.680 --> 0:22:01.240
<v Speaker 2>to react in that situation. You make one wrong move,

0:22:01.320 --> 0:22:03.280
<v Speaker 2>next thing you know, you've got a person who is killed.

0:22:03.480 --> 0:22:06.760
<v Speaker 2>And the death on the conscience of the officers too,

0:22:06.800 --> 0:22:08.960
<v Speaker 2>by the way, all because of this stupid tech that

0:22:09.119 --> 0:22:10.080
<v Speaker 2>got something wrong.

0:22:10.560 --> 0:22:13.440
<v Speaker 4>It is a very disturbing situation. And I get that.

0:22:13.640 --> 0:22:15.720
<v Speaker 2>There's no doubt they're helping to solve some crimes. There's

0:22:15.800 --> 0:22:16.720
<v Speaker 2>no doubt about it.

0:22:16.760 --> 0:22:18.160
<v Speaker 1>You're right, But you have to ask.

0:22:18.000 --> 0:22:20.560
<v Speaker 2>A question where do you draw the line, because that

0:22:20.680 --> 0:22:22.960
<v Speaker 2>logic will work forever of Okay, Well, if we just

0:22:23.000 --> 0:22:25.680
<v Speaker 2>put cameras on every street, if we just put cameras

0:22:25.720 --> 0:22:28.119
<v Speaker 2>in every building, if we just put cameras, you know,

0:22:28.240 --> 0:22:30.439
<v Speaker 2>activate your phone camera in every house, then no one

0:22:30.480 --> 0:22:32.240
<v Speaker 2>could ever get away with anything, and then they'd have

0:22:32.240 --> 0:22:34.400
<v Speaker 2>one hundred percent compliance.

0:22:33.880 --> 0:22:34.440
<v Speaker 4>With the law.

0:22:34.920 --> 0:22:37.040
<v Speaker 2>Is that worth it to you? So where are you

0:22:37.080 --> 0:22:40.240
<v Speaker 2>going to draw the line? And I think many Americans

0:22:40.359 --> 0:22:42.920
<v Speaker 2>at this point are drawing the line before we get

0:22:42.960 --> 0:22:45.119
<v Speaker 2>to flot cameras. There was a man who was arrested

0:22:45.160 --> 0:22:49.639
<v Speaker 2>in West Virginia for vandalizing a FLOT camera and the

0:22:49.680 --> 0:22:52.280
<v Speaker 2>Facebook post about his arrest, but D three b up

0:22:52.320 --> 0:22:57.760
<v Speaker 2>on the screen twenty nine thousand plus commons and all

0:22:57.840 --> 0:22:59.280
<v Speaker 2>of them are like, Oh, it couldn't have been him.

0:22:59.320 --> 0:23:02.399
<v Speaker 2>He was with me, were helping orphans. Yeah, it's a

0:23:02.680 --> 0:23:04.240
<v Speaker 2>couldn't have been him. He was helping me make a

0:23:04.280 --> 0:23:06.880
<v Speaker 2>tank setup for some snakes. He was saving my neighbor's

0:23:06.920 --> 0:23:09.000
<v Speaker 2>dog from a fire all day. Couldn't be him arrested

0:23:09.000 --> 0:23:12.320
<v Speaker 2>for doing community services wild, couldn't be he was connoeing

0:23:12.320 --> 0:23:14.880
<v Speaker 2>with me that day. This is literally I can't say

0:23:15.000 --> 0:23:17.159
<v Speaker 2>one hundred percent, but this is like ninety nine percent

0:23:17.200 --> 0:23:18.960
<v Speaker 2>of the comments that were left on this post. To

0:23:19.040 --> 0:23:22.000
<v Speaker 2>give you a sense of how much this has disturbed

0:23:22.040 --> 0:23:23.240
<v Speaker 2>the population at large.

0:23:23.280 --> 0:23:26.359
<v Speaker 3>And I think that the private angle really matters here.

0:23:26.480 --> 0:23:29.639
<v Speaker 3>It's a company with no like, for example, their Trust

0:23:29.680 --> 0:23:33.320
<v Speaker 3>Center says every search is recorded, logs and review tools

0:23:33.320 --> 0:23:36.680
<v Speaker 3>to help agencies check usage. That The thing is, though,

0:23:36.800 --> 0:23:39.440
<v Speaker 3>is that the audit and review system is run by

0:23:39.440 --> 0:23:43.359
<v Speaker 3>the agency using the camera. It's not by an independent party,

0:23:43.800 --> 0:23:46.960
<v Speaker 3>and none of us voted for it. Like, look, I

0:23:47.080 --> 0:23:50.119
<v Speaker 3>support actually, like, if we're going to have, you know,

0:23:49.840 --> 0:23:53.200
<v Speaker 3>a radical reduction in petty crime, which would be my

0:23:53.440 --> 0:23:55.440
<v Speaker 3>dream here in the United.

0:23:55.160 --> 0:23:57.119
<v Speaker 1>States, I need to make that case.

0:23:57.520 --> 0:23:59.760
<v Speaker 3>We all need to buy in and be like, all right, guys,

0:24:00.080 --> 0:24:03.400
<v Speaker 3>we're going to have these camera systems everywhere. We will

0:24:03.480 --> 0:24:06.399
<v Speaker 3>no longer have petty crime or any of this. But

0:24:06.480 --> 0:24:09.040
<v Speaker 3>this is why I think this is a good bad idea.

0:24:09.520 --> 0:24:11.240
<v Speaker 3>You get to vote and to decide if I lose,

0:24:11.280 --> 0:24:12.120
<v Speaker 3>so be it right?

0:24:12.160 --> 0:24:14.000
<v Speaker 4>Well, and that's important.

0:24:14.000 --> 0:24:16.960
<v Speaker 2>That sort of discussion would require the people who wanted

0:24:16.960 --> 0:24:18.679
<v Speaker 2>them to say, and here's going to be the checks.

0:24:18.920 --> 0:24:20.480
<v Speaker 2>Here's how we're going to make sure that when the

0:24:20.480 --> 0:24:22.800
<v Speaker 2>police department implements this, there's not going to be abuses

0:24:22.840 --> 0:24:26.000
<v Speaker 2>of police officers randomly stalking their ex girlfriends, the mother

0:24:26.040 --> 0:24:28.800
<v Speaker 2>of their children or whatever. And so you would have

0:24:28.840 --> 0:24:30.960
<v Speaker 2>those systems put in place instead. This is the wild,

0:24:30.960 --> 0:24:33.879
<v Speaker 2>wild West people didn't have any idea this was happening.

0:24:34.400 --> 0:24:37.760
<v Speaker 2>There was no democratic accountability or a check. So now

0:24:37.840 --> 0:24:40.640
<v Speaker 2>you have this I think increasing. I mean, I haven't

0:24:40.640 --> 0:24:43.160
<v Speaker 2>seen any polling on it yet, but you were talking

0:24:43.160 --> 0:24:45.679
<v Speaker 2>about how you searched us in Every local news station

0:24:45.880 --> 0:24:49.160
<v Speaker 2>is picking up on LIM because it really is like

0:24:49.280 --> 0:24:51.960
<v Speaker 2>becoming this flashpoint and it ties back to the Francesca

0:24:52.000 --> 0:24:53.880
<v Speaker 2>Haunk things. She's picked us up in her campaign too.

0:24:53.960 --> 0:24:57.160
<v Speaker 3>Very savvayre advice for any politician. When I was researching

0:24:57.160 --> 0:25:01.040
<v Speaker 3>this story, every single look I'm talking talking about Wyoming

0:25:01.200 --> 0:25:06.520
<v Speaker 3>flock cameras, Chicago flock camera, Texas flock camera, every single

0:25:06.680 --> 0:25:10.840
<v Speaker 3>negative headline everyone is about communities getting upset through vandalism,

0:25:11.160 --> 0:25:14.240
<v Speaker 3>about debates. You know, local news organizations are running polls.

0:25:14.240 --> 0:25:19.000
<v Speaker 3>Should we have flock in Cheyenne or something small? Not small,

0:25:19.080 --> 0:25:21.800
<v Speaker 3>but by our standards are small. Like this is not

0:25:22.080 --> 0:25:25.280
<v Speaker 3>a national national issue yet, but it's like data centers.

0:25:25.400 --> 0:25:27.960
<v Speaker 3>I can smell it, Like when there's local news, they

0:25:28.040 --> 0:25:31.720
<v Speaker 3>these people like they know exactly, like what's capturing attention, right,

0:25:31.760 --> 0:25:33.120
<v Speaker 3>that's why they cover crime and.

0:25:33.080 --> 0:25:35.840
<v Speaker 4>They they live in the community, like.

0:25:36.000 --> 0:25:37.560
<v Speaker 1>They know what gets attention.

0:25:38.000 --> 0:25:41.320
<v Speaker 3>If they're all writing up flock and it's all negative,

0:25:41.600 --> 0:25:44.560
<v Speaker 3>free advice for any politician out there. And like I said,

0:25:44.600 --> 0:25:46.360
<v Speaker 3>if you want to defend it, like the free press

0:25:46.400 --> 0:25:48.120
<v Speaker 3>and all that are doing, it needs to be taken

0:25:48.119 --> 0:25:50.719
<v Speaker 3>to a ballot. A locality must vote on whether they

0:25:50.760 --> 0:25:53.880
<v Speaker 3>want themselves, you know, to be surveilled all the time.

0:25:53.920 --> 0:25:57.399
<v Speaker 3>They need guarantees, independent audits, and none of that's happening.

0:25:57.440 --> 0:25:59.199
<v Speaker 1>That's what's so terrifying about this.

0:26:00.240 --> 0:26:04.840
<v Speaker 3>There's no it's like opting in just because the cops

0:26:05.000 --> 0:26:07.159
<v Speaker 3>like it, they get to do whatever they want to do.

0:26:07.280 --> 0:26:10.000
<v Speaker 3>Like that is the inverse of what a civilian force

0:26:10.040 --> 0:26:13.760
<v Speaker 3>we grant extraordinary control should be able to be able

0:26:13.800 --> 0:26:14.680
<v Speaker 3>to do to us.

0:26:14.680 --> 0:26:16.000
<v Speaker 1>So that's my last thing.

0:26:16.000 --> 0:26:18.840
<v Speaker 3>We have to have a democratic, actual process surrounding this,

0:26:19.119 --> 0:26:21.399
<v Speaker 3>and if we come around on it, then that's fine.

0:26:21.760 --> 0:26:23.680
<v Speaker 3>But I don't think that that's going to play out

0:26:23.720 --> 0:26:25.640
<v Speaker 3>right now. Let's get to David dan he's standing by.

0:26:28.520 --> 0:26:31.159
<v Speaker 2>As you guys know, we have been closely tracking a

0:26:31.160 --> 0:26:34.600
<v Speaker 2>lot of developments in the AI space, including whether or

0:26:34.640 --> 0:26:38.800
<v Speaker 2>not this entire BILLDOUN is a massive bubble that may

0:26:38.920 --> 0:26:42.399
<v Speaker 2>end up with taxpayers funding the largest bailout in history.

0:26:42.760 --> 0:26:45.920
<v Speaker 2>David Dan of the American Prospect has identified a potential

0:26:46.119 --> 0:26:50.879
<v Speaker 2>backdoor bailout mechanism that may already have been established. The

0:26:50.960 --> 0:26:53.879
<v Speaker 2>headline here is the AI bailout could be baked into

0:26:53.960 --> 0:26:56.600
<v Speaker 2>the AI bubble. Private credit companies are key owners of

0:26:56.600 --> 0:26:59.960
<v Speaker 2>AI related assets. Many of their parent private equity firms

0:27:00.160 --> 0:27:03.359
<v Speaker 2>own life insures that are dumping grounds for bad loans

0:27:03.359 --> 0:27:06.760
<v Speaker 2>and subject to state bailance. American Prospects David Dan joins

0:27:06.840 --> 0:27:09.640
<v Speaker 2>us now to explain Welcome, Sar, good to you, Hi,

0:27:09.720 --> 0:27:13.880
<v Speaker 2>how you doing great? So just explain to people as

0:27:13.920 --> 0:27:17.160
<v Speaker 2>basic as you can the mechanism here and what your

0:27:17.160 --> 0:27:17.800
<v Speaker 2>concerns are.

0:27:18.840 --> 0:27:20.359
<v Speaker 5>I mean, it's not going to be that easy, but

0:27:20.600 --> 0:27:21.160
<v Speaker 5>here we go.

0:27:21.280 --> 0:27:22.280
<v Speaker 4>Yeah, take your time.

0:27:22.320 --> 0:27:23.720
<v Speaker 5>Oh yeah.

0:27:23.800 --> 0:27:28.119
<v Speaker 9>Private equity over the last several years has purchased a

0:27:28.280 --> 0:27:31.160
<v Speaker 9>number of life insurance firms. Some of the more famous

0:27:31.200 --> 0:27:34.160
<v Speaker 9>ones are Apollo, which is a big private equity firm,

0:27:34.160 --> 0:27:40.160
<v Speaker 9>buying athene KKR, another big fee firm, as a couple

0:27:40.280 --> 0:27:45.640
<v Speaker 9>different life insures, and these life insureds operate very differently,

0:27:46.680 --> 0:27:51.679
<v Speaker 9>particularly their portfolios are very different than a normal life insure.

0:27:52.680 --> 0:27:56.640
<v Speaker 9>A lot of these private credit loans are making their

0:27:56.680 --> 0:28:01.560
<v Speaker 9>way into the balance sheets of the these life insurers,

0:28:02.200 --> 0:28:07.320
<v Speaker 9>and this then gets tied into the way that life

0:28:07.320 --> 0:28:13.720
<v Speaker 9>insurance insolvencies are resolved, so it's not through the traditional

0:28:13.760 --> 0:28:17.840
<v Speaker 9>bankruptcy system, and there's good reason for that because life

0:28:17.920 --> 0:28:24.720
<v Speaker 9>insurance policies are relied upon by people and families when

0:28:24.880 --> 0:28:28.160
<v Speaker 9>one of their loved ones die, and the public policy

0:28:28.160 --> 0:28:31.160
<v Speaker 9>does not want those to just simply go away if

0:28:31.320 --> 0:28:34.320
<v Speaker 9>a life insured becomes insolvent, so there's a lot of

0:28:34.440 --> 0:28:38.920
<v Speaker 9>risk on these pe owned life insure balance sheets in

0:28:38.960 --> 0:28:42.120
<v Speaker 9>the event of an insolvency. The way it works in

0:28:42.240 --> 0:28:47.680
<v Speaker 9>almost every state is that there are after the fact assessments,

0:28:47.720 --> 0:28:52.360
<v Speaker 9>almost like deposit insurance with the FDIC, with one key

0:28:52.400 --> 0:28:58.640
<v Speaker 9>difference in deposit insurance, the assessments are made before a

0:28:58.720 --> 0:29:02.480
<v Speaker 9>company goes bankrupt, so all banks pay into this fund,

0:29:02.800 --> 0:29:07.719
<v Speaker 9>and when there is an insolvency that bank those deposits

0:29:07.760 --> 0:29:11.160
<v Speaker 9>are covered by the amount of money in the fund.

0:29:11.680 --> 0:29:16.080
<v Speaker 9>With life insurance, if there's an insolvency, only the surviving

0:29:16.200 --> 0:29:22.520
<v Speaker 9>companies end up paying for the insolvent firm to back

0:29:22.600 --> 0:29:27.680
<v Speaker 9>up those policies. However, there's sort of this bailout written

0:29:27.680 --> 0:29:32.360
<v Speaker 9>into it. Those surviving firms in forty four states then

0:29:32.720 --> 0:29:36.000
<v Speaker 9>can get a tax credit that is equal to one

0:29:36.120 --> 0:29:40.640
<v Speaker 9>hundred percent of the assessment that they make, and therefore

0:29:40.680 --> 0:29:45.920
<v Speaker 9>it's state taxpayers who end up on the hook for

0:29:46.240 --> 0:29:53.440
<v Speaker 9>these insolvent life insurance companies. The theory here is that

0:29:53.960 --> 0:29:57.920
<v Speaker 9>private credit, which has a lot of AI related assets,

0:29:58.280 --> 0:30:02.840
<v Speaker 9>make these insolvencies a bit more likely. And if that's

0:30:02.920 --> 0:30:07.080
<v Speaker 9>the case, then essentially the popping of the AI bubble

0:30:07.160 --> 0:30:11.720
<v Speaker 9>could trigger this process by which state taxpayers would essentially

0:30:11.760 --> 0:30:16.440
<v Speaker 9>be paying for the sins of these life insurance companies

0:30:16.480 --> 0:30:17.720
<v Speaker 9>owned by private equity.

0:30:17.880 --> 0:30:20.320
<v Speaker 3>Got it, Okay, So when we put all of this together,

0:30:20.720 --> 0:30:23.760
<v Speaker 3>all of this financing, this deck of cards, we can

0:30:23.800 --> 0:30:26.640
<v Speaker 3>put E two, for example, up on the screen. This

0:30:26.800 --> 0:30:30.920
<v Speaker 3>was just announced yesterday Wall Street giants partnering with Nvidia

0:30:30.960 --> 0:30:35.800
<v Speaker 3>on a five hundred billion dollar AI financing deal. Apollo,

0:30:35.880 --> 0:30:38.560
<v Speaker 3>Blackstone Goldman among the groups working with the chip maker

0:30:38.760 --> 0:30:41.840
<v Speaker 3>to raise capital for data centers. Apparently it is one

0:30:41.840 --> 0:30:45.040
<v Speaker 3>of the largest capital raises I think private capital raises

0:30:45.280 --> 0:30:46.719
<v Speaker 3>in Wall Street history.

0:30:46.760 --> 0:30:48.560
<v Speaker 1>How do these two things fit together?

0:30:49.200 --> 0:30:51.760
<v Speaker 9>Well, obviously, there's just a ton of money flooding into

0:30:51.800 --> 0:30:54.840
<v Speaker 9>this space, and if you think about some of the

0:30:54.880 --> 0:30:59.320
<v Speaker 9>events of the last few weeks, the release of more

0:31:00.720 --> 0:31:03.880
<v Speaker 9>AI models that show that actually you don't need this

0:31:04.000 --> 0:31:09.920
<v Speaker 9>kind of capital expansion to create functional artificial intelligence funnels,

0:31:10.320 --> 0:31:16.000
<v Speaker 9>the extreme expense that private companies are paying for things

0:31:16.160 --> 0:31:21.240
<v Speaker 9>like chat GPT, for things like anthropic models, and then

0:31:21.520 --> 0:31:26.680
<v Speaker 9>abandoning this process because the price has risen so heavily

0:31:27.200 --> 0:31:32.120
<v Speaker 9>on tokens, which is the way that companies pay for AI.

0:31:34.200 --> 0:31:37.840
<v Speaker 9>You put this all together, and the incredible, as I'm

0:31:37.840 --> 0:31:41.760
<v Speaker 9>sure you guys have reported, the incredible backlash to data

0:31:41.800 --> 0:31:45.600
<v Speaker 9>center buildouts. Many of these private credit loans are based

0:31:46.000 --> 0:31:50.520
<v Speaker 9>in the financing of construction of data centers. And so

0:31:50.520 --> 0:31:52.320
<v Speaker 9>you put all this together, and there are a lot

0:31:52.360 --> 0:31:57.040
<v Speaker 9>of ways where the current model of throwing hundreds of

0:31:57.080 --> 0:32:01.320
<v Speaker 9>billions of dollars at capital expenditures which finance data centers,

0:32:01.360 --> 0:32:03.480
<v Speaker 9>which create frontier.

0:32:03.080 --> 0:32:06.040
<v Speaker 5>Models, could go away, right.

0:32:06.160 --> 0:32:08.240
<v Speaker 9>I mean that there there are a lot of ways

0:32:08.240 --> 0:32:12.520
<v Speaker 9>where that could go sour. And whether it's Wall Street

0:32:12.560 --> 0:32:16.960
<v Speaker 9>money from uh, you know, private banks, or whether it's

0:32:17.120 --> 0:32:20.800
<v Speaker 9>money that has been loaned through these special purpose vehicles

0:32:20.840 --> 0:32:24.720
<v Speaker 9>that are tied to private credit, any way in which

0:32:25.440 --> 0:32:32.280
<v Speaker 9>the data center mass capital expenditure becomes problematic could threaten

0:32:32.760 --> 0:32:36.719
<v Speaker 9>any of those those sources of capital. And you know,

0:32:36.800 --> 0:32:42.360
<v Speaker 9>the difference between this being a situation with banks and

0:32:42.400 --> 0:32:45.880
<v Speaker 9>the different and being a situation with private credit loans

0:32:46.200 --> 0:32:49.960
<v Speaker 9>that have been dumped on mass into these life insurance

0:32:50.000 --> 0:32:53.880
<v Speaker 9>company portfolios is that with banks, you'd have to sort

0:32:53.920 --> 0:32:58.520
<v Speaker 9>of put together some sort of bailout authority, you know,

0:32:58.640 --> 0:33:02.880
<v Speaker 9>much like TARP into thousand and eight or the Federal

0:33:02.920 --> 0:33:03.720
<v Speaker 9>Reserve would have.

0:33:03.680 --> 0:33:05.400
<v Speaker 5>To engage in some action.

0:33:05.800 --> 0:33:09.800
<v Speaker 9>Whereas with respect to the life insurance companies if they

0:33:09.840 --> 0:33:13.040
<v Speaker 9>go insolvent, this is just triggered because this is already

0:33:13.080 --> 0:33:16.280
<v Speaker 9>the law in most states in the Union.

0:33:16.800 --> 0:33:20.400
<v Speaker 2>Can you explain for people what private credit is and

0:33:20.440 --> 0:33:23.000
<v Speaker 2>why it has ended up being such an important source

0:33:23.040 --> 0:33:24.800
<v Speaker 2>of financing for the AI build out.

0:33:25.960 --> 0:33:30.080
<v Speaker 9>Private credit is essentially the credit arm of private equity.

0:33:30.400 --> 0:33:34.560
<v Speaker 9>So most private equity firms now are these sort of

0:33:34.600 --> 0:33:40.280
<v Speaker 9>full service entities and platforms, and private credit is their

0:33:40.360 --> 0:33:45.760
<v Speaker 9>lending arm. Most private credit loans are two portfolio companies

0:33:45.840 --> 0:33:49.760
<v Speaker 9>of that private equity firm. That's not completely out of

0:33:49.800 --> 0:33:52.760
<v Speaker 9>the woods either, because a lot of private equity firms,

0:33:53.360 --> 0:33:59.080
<v Speaker 9>for example, bought software companies that are threatened if the

0:33:59.160 --> 0:34:04.520
<v Speaker 9>AI actually goes well, and these software companies are no

0:34:04.600 --> 0:34:11.239
<v Speaker 9>longer needed. We've had this software apocalypse in the markets

0:34:11.280 --> 0:34:15.840
<v Speaker 9>where software companies have seen their stocks just absolutely plummet.

0:34:16.160 --> 0:34:20.160
<v Speaker 9>That has led to a lot of redemptions from companies

0:34:20.800 --> 0:34:24.080
<v Speaker 9>or for investors who are in private credit. The way

0:34:24.120 --> 0:34:26.799
<v Speaker 9>that private credit is financed is the same way that

0:34:26.840 --> 0:34:31.440
<v Speaker 9>private equity is financed. Investors, institutional investors give money to

0:34:31.520 --> 0:34:35.279
<v Speaker 9>the private equity fund. The private equity fund invested, in

0:34:35.320 --> 0:34:39.000
<v Speaker 9>this case in loans. In the case of just normal

0:34:39.040 --> 0:34:43.120
<v Speaker 9>private equity, the money is used along with borrowed money

0:34:43.320 --> 0:34:47.840
<v Speaker 9>to buy companies. So it's just another way to engage

0:34:47.880 --> 0:34:52.200
<v Speaker 9>in this financing. And a lot of these loans are

0:34:52.560 --> 0:34:53.560
<v Speaker 9>somewhat suspect.

0:34:53.960 --> 0:34:55.399
<v Speaker 5>It's hard to value them.

0:34:56.160 --> 0:34:59.719
<v Speaker 9>They have sort of bespoke credit rating agencies that are

0:34:59.760 --> 0:35:03.560
<v Speaker 9>paid by the private equity firms to give them good ratings.

0:35:04.040 --> 0:35:06.000
<v Speaker 9>Not a lot of people know what sort of goes

0:35:06.040 --> 0:35:09.920
<v Speaker 9>into the secret sauce of these private credit loans, and

0:35:10.160 --> 0:35:13.440
<v Speaker 9>certainly the National Association of Insurance Commissioners, which is a

0:35:13.480 --> 0:35:18.280
<v Speaker 9>state based organization of state insurance commissioners, has no idea

0:35:18.440 --> 0:35:22.840
<v Speaker 9>what are in these loans. And one thing a paper

0:35:22.880 --> 0:35:25.520
<v Speaker 9>that is put out by two researchers, one from Texas

0:35:25.520 --> 0:35:29.160
<v Speaker 9>and on from Yale, looked at some of the portfolio

0:35:29.520 --> 0:35:33.759
<v Speaker 9>balance sheets of these private credit companies and found that

0:35:34.160 --> 0:35:38.280
<v Speaker 9>specifically prospect to life insurers. Whereas a normal life insure

0:35:38.360 --> 0:35:44.600
<v Speaker 9>has a pretty modest mix of mostly corporate, very blue

0:35:44.680 --> 0:35:50.080
<v Speaker 9>chip corporate loans and treasuries, about thirteen percent of a

0:35:50.200 --> 0:35:55.000
<v Speaker 9>normal life insure is in private placement like alternative assets,

0:35:55.080 --> 0:35:58.760
<v Speaker 9>private credit loans, things like that. When it's a private

0:35:58.760 --> 0:36:04.360
<v Speaker 9>equity owned private life insure, about half of those loans

0:36:04.640 --> 0:36:07.640
<v Speaker 9>are in private credit and things of that nature.

0:36:08.080 --> 0:36:11.360
<v Speaker 5>And so these are just much riskier debts.

0:36:11.400 --> 0:36:16.319
<v Speaker 9>And it does seem that these life insurance companies, their

0:36:16.360 --> 0:36:19.880
<v Speaker 9>balance sheets have become sort of dumping grounds for loans

0:36:20.000 --> 0:36:23.080
<v Speaker 9>that couldn't be you know, and maybe they're not being

0:36:23.239 --> 0:36:26.439
<v Speaker 9>not performing well, or they're engaged in for bearans where

0:36:26.440 --> 0:36:29.200
<v Speaker 9>the you know, the borrower doesn't have.

0:36:29.160 --> 0:36:31.720
<v Speaker 5>To pay right away, things of that nature.

0:36:31.920 --> 0:36:35.759
<v Speaker 9>And so this has raised a lot of concern from

0:36:35.800 --> 0:36:37.600
<v Speaker 9>a lot of key observers.

0:36:38.200 --> 0:36:41.400
<v Speaker 3>Wow, yeah, kind of scary, I think hearing you talk

0:36:41.440 --> 0:36:44.760
<v Speaker 3>about it, because it's almost an ingenious way, very similar

0:36:44.760 --> 0:36:46.960
<v Speaker 3>to how they were able to keep the mortgage backed

0:36:46.960 --> 0:36:49.880
<v Speaker 3>security fraud going for so long, and to have a

0:36:49.960 --> 0:36:52.920
<v Speaker 3>built in bailout, I mean, what are the signs that

0:36:52.960 --> 0:36:56.200
<v Speaker 3>we should look for. I mean, are there any regulatory

0:36:56.440 --> 0:36:58.799
<v Speaker 3>ability to crack down on this or is the cake

0:36:58.880 --> 0:37:00.919
<v Speaker 3>just baked well?

0:37:00.960 --> 0:37:04.960
<v Speaker 9>I mean that is the main issue here, is that

0:37:06.160 --> 0:37:11.280
<v Speaker 9>we have not seen this sort of system of life

0:37:11.320 --> 0:37:17.160
<v Speaker 9>insured insolvencies en mass in our history. Since this thing

0:37:17.200 --> 0:37:20.440
<v Speaker 9>has been set up, this kind of procedure whereby the

0:37:20.520 --> 0:37:25.040
<v Speaker 9>surviving firms paid for the policyholders and then they get

0:37:25.080 --> 0:37:28.120
<v Speaker 9>a backdoor bail out through these tax credits, it just

0:37:28.160 --> 0:37:31.680
<v Speaker 9>hasn't happened. In two thousand and eight, AIG was a

0:37:31.800 --> 0:37:37.319
<v Speaker 9>major insurance company and it went basically insolvent, But because

0:37:37.840 --> 0:37:42.600
<v Speaker 9>the federal reserves stepped in and later on Congress blessed

0:37:42.600 --> 0:37:45.719
<v Speaker 9>that through the TART program, we did not see this

0:37:46.000 --> 0:37:54.640
<v Speaker 9>potential this insolvency procedure in action. So it's very untested.

0:37:54.960 --> 0:37:56.440
<v Speaker 9>The people that I talked.

0:37:56.280 --> 0:38:00.319
<v Speaker 10>To, these people who wrote the paper, these research from

0:38:00.360 --> 0:38:03.200
<v Speaker 10>Texas and Yale, don't think it will actually work because

0:38:03.280 --> 0:38:06.719
<v Speaker 10>think about if at the height of the financial crisis,

0:38:07.920 --> 0:38:11.480
<v Speaker 10>every state had to go undergo this process to bail

0:38:11.520 --> 0:38:14.680
<v Speaker 10>out aig like, think about how hard that would have

0:38:14.760 --> 0:38:19.120
<v Speaker 10>been and at a time of extreme stress.

0:38:19.480 --> 0:38:21.000
<v Speaker 5>And that's what we would see.

0:38:21.080 --> 0:38:25.040
<v Speaker 9>If there was, you know, sort of a macro economic

0:38:25.200 --> 0:38:28.600
<v Speaker 9>level of stress throughout the economy and one of these

0:38:28.680 --> 0:38:31.800
<v Speaker 9>life insurance companies a theme or one of the others

0:38:31.880 --> 0:38:36.480
<v Speaker 9>went under, you'd have to have fifty state programs to

0:38:36.960 --> 0:38:38.359
<v Speaker 9>try to resolve this thing.

0:38:38.880 --> 0:38:41.400
<v Speaker 5>And so it's dangerous.

0:38:42.719 --> 0:38:47.040
<v Speaker 9>Obviously there's a lack of sort of regulatory juice on

0:38:47.120 --> 0:38:49.200
<v Speaker 9>the part of these insurance commissioners.

0:38:49.520 --> 0:38:50.520
<v Speaker 5>There's a hope.

0:38:50.239 --> 0:38:52.799
<v Speaker 9>That you know, we could get more more of an

0:38:52.840 --> 0:38:55.319
<v Speaker 9>insight into that, and there's a number of recommendations in

0:38:55.360 --> 0:38:59.920
<v Speaker 9>the paper that I write about in this story about

0:39:00.040 --> 0:39:00.640
<v Speaker 9>how to do that.

0:39:00.800 --> 0:39:04.040
<v Speaker 2>Yeah, very important story. I really recommend people read it.

0:39:04.080 --> 0:39:05.960
<v Speaker 2>I read it two or three times to make sure

0:39:05.960 --> 0:39:08.640
<v Speaker 2>that I understood the dynamics here. But you know, it

0:39:08.680 --> 0:39:10.759
<v Speaker 2>does remind very much of the financial crisis, where there

0:39:10.800 --> 0:39:13.560
<v Speaker 2>were all these linkages beneath the service the surface, and

0:39:13.600 --> 0:39:16.480
<v Speaker 2>also the ratings agencies also being asleep at the switch

0:39:16.560 --> 0:39:18.480
<v Speaker 2>or compromise in a lot of regards. It has a

0:39:18.520 --> 0:39:20.839
<v Speaker 2>lot of echoes for some of what went down there.

0:39:21.200 --> 0:39:22.200
<v Speaker 2>David Dan, thank you. So much.

0:39:22.200 --> 0:39:22.759
<v Speaker 4>Great to see you.

0:39:22.760 --> 0:39:25.920
<v Speaker 1>Thank you, David, appreciate it. Thank you guys so much

0:39:25.920 --> 0:39:26.280
<v Speaker 1>for watching.

0:39:26.320 --> 0:39:28.440
<v Speaker 3>We appreciate it. It'll be a great show for everybody.

0:39:28.440 --> 0:39:29.240
<v Speaker 3>Tomorrow Wednesday.

0:39:29.360 --> 0:39:29.839
<v Speaker 1>See you then