WEBVTT - AI Innovations with Joe Lonsdale

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>This is Master's in Business with Barry Ridholds on Bloomberg Radio.

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<v Speaker 1>This week on the podcast Wow, this is really so

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<v Speaker 1>exciting to share with you. We hosted a conference out

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<v Speaker 1>in Huntington Beach, California, my firm ridhel Schwap Management along

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<v Speaker 1>with Advisor Circle called future Proof. It's a giant event

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<v Speaker 1>on the beach in Huntington Beach, California.

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<v Speaker 3>Part of the.

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<v Speaker 1>Event is a series of panels and interviews. In fireside chats,

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<v Speaker 1>I got to sit down with Pallenteer co founder Joe Lonsdale.

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<v Speaker 1>He's really a fascinating guy. He's been a serial entrepreneur,

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<v Speaker 1>managing money for Peter Thiel, interning initially at a Whole

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<v Speaker 1>Places PayPal, which he then just one successful company after another.

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<v Speaker 1>Just a fascinating guy. So we spoke for about thirty

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<v Speaker 1>thirty five minutes. I thought the conversation was fascinating. We

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<v Speaker 1>talked not only about Pallenteer and the defense industry and

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<v Speaker 1>how the world of warfare is changing. Lonsdale is a

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<v Speaker 1>serial entrepreneur who has had success after success after success,

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<v Speaker 1>and is still a relatively young guy. And there's more

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<v Speaker 1>fascinating things to come from him.

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<v Speaker 3>Here.

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<v Speaker 1>It is my discussion with palenteers Joe Lonsdale in Huntington

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<v Speaker 1>Beach at future Proof twenty twenty four. So I just

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<v Speaker 1>highlighted a handful of things about your career, but I

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<v Speaker 1>really want to delve into the specifics. You're at Stanford

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<v Speaker 1>studying computer science and somehow you land a job as

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<v Speaker 1>an intern at PayPal.

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<v Speaker 3>Tell us a little bit about that.

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<v Speaker 4>Well, this was a pretty cool place. So Elon Musk

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<v Speaker 4>with his smartest friends started the company back then in

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<v Speaker 4>the nineties called X and Peter Thiel and his smartest

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<v Speaker 4>friends started Confinity, and they were two of eight competitors,

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<v Speaker 4>and they decided rather and destroy each other, to merge.

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<v Speaker 4>It was actually interesting times, like people were working so

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<v Speaker 4>hard that some of the people working for Peter at

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<v Speaker 4>one point had not gotten enough sleep and were suggesting

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<v Speaker 4>ways to bomb the office of the other guys.

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<v Speaker 2>They realized this is betterly bad.

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<v Speaker 4>We should probably stop this, and so the companies merged

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<v Speaker 4>a form PayPal, and a lot of the most talented

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<v Speaker 4>people from stan Aford computer science went there.

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<v Speaker 2>At that time. It was amazing place.

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<v Speaker 4>Elon kept trying to rename PayPal back to x dot com,

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<v Speaker 4>which they didn't let him do, so I guess he

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<v Speaker 4>eventually got his way twenty years later with Twitter. But no,

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<v Speaker 4>it was a really fun place to learn and a

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<v Speaker 4>lot of my friends there, these guys were like ten

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<v Speaker 4>or fifteen years older than me. A lot of people

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<v Speaker 4>who were working there ended up going on to start

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<v Speaker 4>YouTube and Yelp and you know, LinkedIn and all sorts

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<v Speaker 4>of great companies.

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<v Speaker 2>So a fun place to learn.

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<v Speaker 3>Right, that was quite a brain trust over there.

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<v Speaker 1>Yeah, your next role is it Peter Teal's hedge fund,

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<v Speaker 1>Clarium Capital. You described that as one of the top

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<v Speaker 1>intellectual think tanks in the world. Tell us a little

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<v Speaker 1>bit about your experience working with Teal at Clarium Capital.

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<v Speaker 2>Yeah.

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<v Speaker 4>Sure, that was a global macro hedge fund, and so

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<v Speaker 4>that's a really fun part of finance where you just

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<v Speaker 4>get to try to figure out at a high level

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<v Speaker 4>what's going on in the world, and lots of arguments

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<v Speaker 4>about politics and economics and history and financial markets, and

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<v Speaker 4>you try to on one hat as quantitative you're modeling

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<v Speaker 4>different things like, you know, the Australian currency versus a

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<v Speaker 4>price of commodities versus you know, what's going on in China,

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<v Speaker 4>and on the other hand, you're kind of just just

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<v Speaker 4>discussing what's going to happen the next five or ten years.

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<v Speaker 4>And we you know, we had a really good ten

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<v Speaker 4>year run. But why I was there. I tried to

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<v Speaker 4>hire a bunch of my smartest friends to help us,

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<v Speaker 4>and they thought finance was boring, and we started a

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<v Speaker 4>project based on how PayPal was going after all the

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<v Speaker 4>bad guys because you know, the child in Russian mafia

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<v Speaker 4>I had been stealing our money at PayPal, and we

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<v Speaker 4>ended up building these investigative tools and create pounder out

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<v Speaker 4>of there. So that's what that's what I ended up

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<v Speaker 4>doing it instead.

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<v Speaker 1>So I just want to put a little flesh on

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<v Speaker 1>the bones. You said you had a pretty good run.

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<v Speaker 1>You ended up with a very nice ten year track record,

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<v Speaker 1>but first two years out of the gate something like

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<v Speaker 1>plus thirty percent and plus fifty percent?

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<v Speaker 3>Am I getting those numbers about right?

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<v Speaker 2>Yeah?

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<v Speaker 4>I mean, if you want to know, this is macrofinance, right,

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<v Speaker 4>So it's a fun area. Like an example of one

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<v Speaker 4>of the best trades we figured out that worked for

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<v Speaker 4>a few years is Greenspan had cut interest rates and

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<v Speaker 4>there is more money than ever before going into the GSS,

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<v Speaker 4>Fanny May and Freddie Mack, and so you had this

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<v Speaker 4>massive amount of money there, and because these guys were

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<v Speaker 4>so big, when they would hedge their mortgage portfolios, it

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<v Speaker 4>would move all the global fixed income. And so what

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<v Speaker 4>happened was, you remember, like late two thousand and two,

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<v Speaker 4>you had like five six percent interest rates and the

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<v Speaker 4>race started to fall, and so people started refinancing their homes.

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<v Speaker 4>And when people start refinancing their homes, the duration of

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<v Speaker 4>mortgages goes down. So in order to balance the durations,

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<v Speaker 4>Fanny Man and Freddie Mack had to buy huge amounts

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<v Speaker 4>of ten year notes, but they about to buy so

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<v Speaker 4>much that actually made their industrates go lower, which led

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<v Speaker 4>to more refinancing, which led to have them having buying more.

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<v Speaker 4>So was this feedback effect, and you're able to measure

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<v Speaker 4>the feedback effect.

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<v Speaker 2>You got down to like one.

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<v Speaker 4>Year duration three percent ten year notes back then, and

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<v Speaker 4>then all of a sudden it was snapped back really

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<v Speaker 4>quick because all the money was seeing the economy. So

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<v Speaker 4>anyway you can kind of mapped this stuff out, figure

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<v Speaker 4>out how to trade fixed income. You know, it's a fun,

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<v Speaker 4>fun environment.

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<v Speaker 3>That that must have been a fun environment.

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<v Speaker 1>So, so you mentioned Palenteer, I have to mention how

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<v Speaker 1>old were you.

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<v Speaker 3>When you were one of the co founders of Palenteer.

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<v Speaker 3>You were a young guy.

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<v Speaker 4>It's twenty one. I'm forty two now, so it's a

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<v Speaker 4>long time ago.

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<v Speaker 1>And since now we're going to talk about Palenteer. Congratulations

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<v Speaker 1>they're entering the S and P five hundred.

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<v Speaker 4>It's an an awesome milestone.

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<v Speaker 3>At twenty one, did you ever imagine something like that.

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<v Speaker 4>Yeah, I was a pretty obnoxious kid, so you know, actually,

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<v Speaker 4>Palenteer it was great. We gave offers, so we were

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<v Speaker 4>known for having the top engineering culture. Peter was investor

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<v Speaker 4>in Facebook at the time, so our competition was Palenter

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<v Speaker 4>and Facebook for the best engineers. And you really had

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<v Speaker 4>to convince these people this is going to be a

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<v Speaker 4>big upside place.

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<v Speaker 2>And so you give them offers, and you give them

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<v Speaker 2>three options.

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<v Speaker 4>They could have a higher salary but less equity, less stock,

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<v Speaker 4>you know, medium, medium, where you have a lower salary

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<v Speaker 4>but more stock, and.

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<v Speaker 2>I draw up on the option for the first two

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<v Speaker 2>hundred people.

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<v Speaker 4>We'd put a table and we'd say, here's how much

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<v Speaker 4>your stock might be worth. If this company's worth half

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<v Speaker 4>a billion dollars or a billion dollars or five billion dollars.

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<v Speaker 4>I got so much shit for including five billion dollars

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<v Speaker 4>as one of the possibilities.

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<v Speaker 2>People are like, this is a ridiculous show.

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<v Speaker 1>And the market cap today it's about eighty two billion now,

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<v Speaker 1>So it worked out for it's a long time.

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<v Speaker 3>But it worked out twenty years. It for eighty billion dollars.

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<v Speaker 3>It's a well worth trade.

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<v Speaker 1>So when the company launches, it's a big data analytics company.

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<v Speaker 1>Today the focus is defense, commercial and government. Was this

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<v Speaker 1>a natural evolution or was there a pivot somewhere alonger No, we.

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<v Speaker 4>Started the company to kill the bad guys. Yeah, let's

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<v Speaker 4>be clear. I don't know they're supposed to say. I

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<v Speaker 4>don't work there anymore, so I can say it now.

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<v Speaker 4>We started company after nine to eleven to kill the

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<v Speaker 4>bad guys and stop attacks. And we ended up helping

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<v Speaker 4>run the targeting systems in forty alted countries and wiping

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<v Speaker 4>out over ten thousand terrorists, including a lot of the

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<v Speaker 4>most important ones.

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<v Speaker 2>So, and it protects celebrities too. But let's get the

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<v Speaker 2>bad guys.

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<v Speaker 4>Yeah, And it turns out the hard data problems you

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<v Speaker 4>solve when you run the infrastructure could be used for

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<v Speaker 4>a lot of other things. You're basically building ontologies of

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<v Speaker 4>information and workflows and organizing all the data the government

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<v Speaker 4>And when we start a palenter, the government at the

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<v Speaker 4>time spent like thirty eight billion dollars gathering data, So

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<v Speaker 4>I don't even know what it spends now, but massive

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<v Speaker 4>amounts of information and tens of thousands of databases. How

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<v Speaker 4>to hell do you make all this stuff talk to

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<v Speaker 4>each other? And so by solving those problems to kind

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<v Speaker 4>of organize that, it turns out you now how the

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<v Speaker 4>data in a.

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<v Speaker 2>Form where AI can be used really easily.

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<v Speaker 4>So today polunteers really caught the AI wave because it

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<v Speaker 4>enables AI workflows no one else can.

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<v Speaker 1>And am I correct in saying During COVID, plunteer helped

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<v Speaker 1>governments figure out how to monitor, how to track, how

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<v Speaker 1>to roll out vaccines. What was Pallenteer's role during the pandemic.

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<v Speaker 4>Yeah, I mean it's it's it's used by the armed

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<v Speaker 4>forces to organize all their logiosis and supplies and everything.

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<v Speaker 2>So it's a very similar problem.

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<v Speaker 4>How do you use all the data coming in about

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<v Speaker 4>how to prioritize things in a pandemic? Because you're coordinating

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<v Speaker 4>just massive numbers of things and production and all sorts

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<v Speaker 4>of stuff. I mean, you have a lot of fortunate

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<v Speaker 4>y funder companies using it to manage all of their

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<v Speaker 4>and optimize all.

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<v Speaker 2>Of their production and distribution. So obviously it works very

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<v Speaker 2>well for that.

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<v Speaker 4>For the pandemic, I think, I think like thirty six

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<v Speaker 4>countries used it for that too, So it's good.

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<v Speaker 1>So it's a proven technology today. What was it like

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<v Speaker 1>getting governments to recognize the value of this in the

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<v Speaker 1>early two thousands, they would distress It.

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<v Speaker 4>Was almost as difficult as it was to get Arias

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<v Speaker 4>to take auta par seriously the first five years. So no,

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<v Speaker 4>it's uh, it's actually very funny. You do you think

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<v Speaker 4>you think after a punteer, we were like, oh, this

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<v Speaker 4>is going to be easy. No, it's it's listen, governments.

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<v Speaker 4>Governments are very funny. They they want to use things

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<v Speaker 4>that are new and innovative, but they want to use

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<v Speaker 4>things that everyone else is already using. So breaking in

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<v Speaker 4>is a very chicken and egg problem. That's very hard.

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<v Speaker 4>It turns out that there's a lot of money in

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<v Speaker 4>the special forces and special operations units who frankly their

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<v Speaker 4>lives are a lot more on the line than almost

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<v Speaker 4>anyone else because they're they're constantly doing really dangerous missions

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<v Speaker 4>around the world, and then they're running a lot of

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<v Speaker 4>the most important things that our armed forces do. And

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<v Speaker 4>those groups have such bold and such confident people that

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<v Speaker 4>we're able to break in work with them, get them

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<v Speaker 4>to prove that it worked, and then that kind of

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<v Speaker 4>set the precedent for other parts of government to then

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<v Speaker 4>work with us.

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<v Speaker 2>So thank thank goodness for our special obsc groups.

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<v Speaker 1>So wasn't DARPA that first started with you or would

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<v Speaker 1>did you have any work with them?

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<v Speaker 4>I think DARPA was helpful a little bit, but it

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<v Speaker 4>really the thing that really matters is people using it

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<v Speaker 4>on the ground where lives are on the line. You want,

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<v Speaker 4>if you have something that's the best you want to

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<v Speaker 4>it's going to break in because people need it because

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<v Speaker 4>there because something something is existential where they're going to

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<v Speaker 4>die if they don't have it. They're not gonna be

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<v Speaker 4>able to the mission if they don't have it. So

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<v Speaker 4>DARPA is more of an academic thing. That's smart, but

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<v Speaker 4>I'd much rather work with the people whose lives are

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<v Speaker 4>on the line, and that that's how you really break

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<v Speaker 4>in with the best things you.

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<v Speaker 3>Mentioned at a par and Ai.

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<v Speaker 1>Just so you know, chat GBT is what told me

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<v Speaker 1>it was five trillion dollars.

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<v Speaker 2>Well, nachieven, chat GBT is behind.

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<v Speaker 1>So so you found the company in two thousand and nine.

0:10:20.480 --> 0:10:21.680
<v Speaker 3>Today you're the chairman.

0:10:22.160 --> 0:10:26.239
<v Speaker 1>It began life as a cloud based software platform specializing

0:10:26.280 --> 0:10:31.280
<v Speaker 1>in data aggregation, analytics, and reporting of portfolios.

0:10:32.000 --> 0:10:33.840
<v Speaker 3>What was the original business model?

0:10:34.160 --> 0:10:37.040
<v Speaker 4>Well, you know, I had my family office at first,

0:10:37.200 --> 0:10:39.120
<v Speaker 4>right around then it was a smaller family office, and

0:10:39.120 --> 0:10:41.280
<v Speaker 4>then I had a lot of friends and people I

0:10:41.400 --> 0:10:44.400
<v Speaker 4>talked to who ran family offices, who ran rias. There

0:10:44.400 --> 0:10:47.080
<v Speaker 4>were new groups on the West Coast like Iconic and

0:10:47.120 --> 0:10:50.520
<v Speaker 4>others building these firms around the tech world on raa Land,

0:10:51.120 --> 0:10:54.680
<v Speaker 4>and everyone hated their software. And I looked at it

0:10:54.720 --> 0:10:56.320
<v Speaker 4>and it was like, this is a mess, and there's

0:10:56.360 --> 0:10:58.360
<v Speaker 4>not a really good solution here. And you know, we

0:10:58.360 --> 0:11:00.400
<v Speaker 4>were mapping out there's a lot of new possibility thanks

0:11:00.440 --> 0:11:02.080
<v Speaker 4>to the cloud, thanks to what you could do with data.

0:11:02.120 --> 0:11:04.800
<v Speaker 4>So we said, let's build something that's better. And I

0:11:04.920 --> 0:11:07.240
<v Speaker 4>naively thought we would have something that was significantly better

0:11:07.240 --> 0:11:09.439
<v Speaker 4>within a year or two. It turned out it took

0:11:09.480 --> 0:11:11.920
<v Speaker 4>us hundreds of millions of dollars in several years. But

0:11:11.960 --> 0:11:13.680
<v Speaker 4>I am quite confidence the best at this point.

0:11:14.000 --> 0:11:16.680
<v Speaker 1>So the genesis was, Hey, I have to manage my

0:11:16.760 --> 0:11:19.880
<v Speaker 1>own capital and the tools aren't good, I'm going to

0:11:20.000 --> 0:11:22.560
<v Speaker 1>create it. Or was the original plan. I have an

0:11:22.600 --> 0:11:24.120
<v Speaker 1>idea and everybody should be using it.

0:11:23.880 --> 0:11:26.880
<v Speaker 4>It was a business I think in general, in general,

0:11:26.880 --> 0:11:29.560
<v Speaker 4>when you have like some area that you realize is

0:11:29.559 --> 0:11:32.040
<v Speaker 4>broken for you and for people you know, rather than

0:11:32.040 --> 0:11:33.679
<v Speaker 4>just build it for yourself, I think it's like it's

0:11:33.679 --> 0:11:35.319
<v Speaker 4>a good excuse to build a business around it. So

0:11:35.440 --> 0:11:37.680
<v Speaker 4>I was actually CEO full time for a few years

0:11:37.720 --> 0:11:40.240
<v Speaker 4>getting us off the ground. Eric Poryer, who's running for

0:11:40.320 --> 0:11:42.560
<v Speaker 4>over ten years now, is a much better CEO than me.

0:11:42.600 --> 0:11:44.640
<v Speaker 4>So I'm a proud chairman now. But no, we built

0:11:44.679 --> 0:11:47.760
<v Speaker 4>it as a business. I mean, listen, you guys. When

0:11:47.760 --> 0:11:50.080
<v Speaker 4>we first took there's seven thousand custodians in the US,

0:11:50.240 --> 0:11:52.720
<v Speaker 4>and so we first hooked up data. The biggest custodians

0:11:52.760 --> 0:11:55.720
<v Speaker 4>are people like Fidelity and Schwab and others. And we

0:11:55.760 --> 0:11:57.280
<v Speaker 4>get this all set up. We spent, like you know,

0:11:57.320 --> 0:11:59.360
<v Speaker 4>a bunch of time on the first year. We hook

0:11:59.440 --> 0:12:01.840
<v Speaker 4>up the live day we're getting going and it's all wrong.

0:12:02.360 --> 0:12:04.240
<v Speaker 4>They're like, oh, what do we do wrong? And you know,

0:12:04.280 --> 0:12:06.920
<v Speaker 4>and it turns out even those custodians just how bad

0:12:07.000 --> 0:12:09.560
<v Speaker 4>data this is. The space is a message that shows

0:12:09.559 --> 0:12:11.760
<v Speaker 4>out there's lots of hard problems to solve to make

0:12:11.800 --> 0:12:13.720
<v Speaker 4>this stuff all work right together. So it's it is

0:12:14.000 --> 0:12:17.160
<v Speaker 4>and everyone wants to customizing differently. Every ria has their

0:12:17.200 --> 0:12:19.480
<v Speaker 4>own way of doing things, their own way of showing things,

0:12:19.520 --> 0:12:20.760
<v Speaker 4>and so which it.

0:12:20.679 --> 0:12:22.360
<v Speaker 2>Turned out it took us several more years to get

0:12:22.360 --> 0:12:22.679
<v Speaker 2>it right.

0:12:22.960 --> 0:12:26.319
<v Speaker 1>So so seven trillion dollars, you have some very large

0:12:26.440 --> 0:12:29.520
<v Speaker 1>rias on it, you have broker dealers like Morgan standing

0:12:29.600 --> 0:12:32.719
<v Speaker 1>on it. How big can at a par scale?

0:12:33.200 --> 0:12:36.320
<v Speaker 4>Well, I think there's about two hundred and fifty trillion

0:12:36.360 --> 0:12:39.000
<v Speaker 4>dollars globally that's addressable. Maybe only one hundred and fifty to

0:12:39.040 --> 0:12:41.840
<v Speaker 4>two hundred of that would use a resolution. So even

0:12:41.840 --> 0:12:43.720
<v Speaker 4>though we're going really quickly now I think we're growing

0:12:43.840 --> 0:12:46.600
<v Speaker 4>like over thirty percent a year, still are still probably

0:12:46.600 --> 0:12:48.720
<v Speaker 4>at least an our decade of fast growth.

0:12:48.800 --> 0:12:50.880
<v Speaker 2>I mean, this is a giant market, and you know,

0:12:50.880 --> 0:12:51.600
<v Speaker 2>we're still learning.

0:12:51.600 --> 0:12:53.800
<v Speaker 4>I think I think they're still learning every every week

0:12:53.800 --> 0:12:56.360
<v Speaker 4>from clients about how to serve them better. There's there's

0:12:56.480 --> 0:12:58.599
<v Speaker 4>I think about twelve hundred firms or so give or

0:12:58.640 --> 0:13:01.040
<v Speaker 4>take on the platform now, and and you know, I'd

0:13:01.040 --> 0:13:03.080
<v Speaker 4>love to see them triple out over the next over

0:13:03.120 --> 0:13:04.280
<v Speaker 4>the next few years.

0:13:04.679 --> 0:13:07.160
<v Speaker 1>So the most of what out of part focuses on

0:13:07.200 --> 0:13:11.520
<v Speaker 1>our private our public markets, stops, bonds, mutual funds, ETFs.

0:13:11.960 --> 0:13:15.160
<v Speaker 1>But you also said, hey, this private market thingy is

0:13:15.160 --> 0:13:16.200
<v Speaker 1>going to get big one day.

0:13:16.360 --> 0:13:18.800
<v Speaker 4>Well, being able to report on every possible thing someone

0:13:18.840 --> 0:13:20.280
<v Speaker 4>owns its key for out of part, but out of

0:13:20.280 --> 0:13:22.400
<v Speaker 4>by out of part itself doesn't help people access the

0:13:22.400 --> 0:13:23.040
<v Speaker 4>private markets.

0:13:23.280 --> 0:13:27.560
<v Speaker 1>So let's talk a little bit about opto and that platform.

0:13:27.760 --> 0:13:31.360
<v Speaker 1>The idea behind opto and your chairman of Opto Investments

0:13:31.760 --> 0:13:34.720
<v Speaker 1>is to focus on private markets. Tell us what you

0:13:34.760 --> 0:13:38.320
<v Speaker 1>see in that space. Well, what I saw is that

0:13:38.480 --> 0:13:40.000
<v Speaker 1>the way people tend to come to you.

0:13:40.080 --> 0:13:41.960
<v Speaker 4>So so obviously I run an investment firm, A lot

0:13:41.960 --> 0:13:43.480
<v Speaker 4>of my friends run investment firms, have a lot of

0:13:43.520 --> 0:13:46.280
<v Speaker 4>strong opinions about private markets, right, and this is this

0:13:46.320 --> 0:13:49.120
<v Speaker 4>is an area where in the nineteen nineties there is

0:13:49.200 --> 0:13:51.120
<v Speaker 4>a lot more public companies. There's a small number of

0:13:51.160 --> 0:13:55.160
<v Speaker 4>private companies today, you have more private companies and public companies,

0:13:55.200 --> 0:13:57.679
<v Speaker 4>and frankly, a lot of my smartest friends, people doing

0:13:57.760 --> 0:14:00.439
<v Speaker 4>things that are changing how the world works, are mostly

0:14:00.480 --> 0:14:03.120
<v Speaker 4>doing that within private companies. And so today, if you're

0:14:03.120 --> 0:14:06.480
<v Speaker 4>not accessing private markets, you're going to get left way

0:14:06.520 --> 0:14:09.040
<v Speaker 4>behind your returns. I think, especially the next ten years,

0:14:09.440 --> 0:14:12.960
<v Speaker 4>given how AI is changing productivity in so many parts

0:14:12.960 --> 0:14:15.440
<v Speaker 4>of our economy, we could talk about it's very clear

0:14:15.480 --> 0:14:17.920
<v Speaker 4>you get left behind, and that it's messed up that

0:14:18.200 --> 0:14:20.080
<v Speaker 4>a lot of people don't have access to what's clearly

0:14:20.080 --> 0:14:22.800
<v Speaker 4>the higher returning areas if if they're done right. And

0:14:22.840 --> 0:14:24.800
<v Speaker 4>what I saw is the way people were trying to

0:14:24.880 --> 0:14:28.440
<v Speaker 4>sell people on private market stuff is basically purely a

0:14:28.480 --> 0:14:30.520
<v Speaker 4>brokerage model where they come to your firm and they say,

0:14:30.520 --> 0:14:33.120
<v Speaker 4>we're going to make money by selling you kind of

0:14:33.120 --> 0:14:36.400
<v Speaker 4>mediocre crap. That's how a lot of these things operate.

0:14:36.440 --> 0:14:39.400
<v Speaker 4>And I think that's actually frankly discussing it's not it's

0:14:39.440 --> 0:14:41.240
<v Speaker 4>just not. It's just misaligned, Like it's not how any

0:14:41.280 --> 0:14:43.560
<v Speaker 4>of us would do business normally. Is that you you

0:14:43.600 --> 0:14:45.400
<v Speaker 4>don't want to put money into the things that you're

0:14:45.400 --> 0:14:47.280
<v Speaker 4>getting paid to put money in, so you want to

0:14:47.640 --> 0:14:49.160
<v Speaker 4>you want to have an aligned model where we all

0:14:49.200 --> 0:14:51.680
<v Speaker 4>make money together by accessing the best things. And private

0:14:51.720 --> 0:14:54.920
<v Speaker 4>market is especially venture capital, but frankly, certain parts of PE,

0:14:55.080 --> 0:14:57.920
<v Speaker 4>certain parts of all credit, all these other things, they

0:14:57.960 --> 0:14:59.880
<v Speaker 4>have a very high disparity. You really want to get

0:15:00.080 --> 0:15:02.960
<v Speaker 4>in the top decile, top quartile stuff and you're gonna

0:15:03.000 --> 0:15:05.080
<v Speaker 4>do great and if you get into mediocre stuff, you're

0:15:05.120 --> 0:15:07.800
<v Speaker 4>gonna have mediocre results. And so so just the whole

0:15:07.800 --> 0:15:10.200
<v Speaker 4>spaces seemed misaligned to me. And then on top of that,

0:15:10.800 --> 0:15:12.920
<v Speaker 4>it's really stressful for a lot of people to get

0:15:12.960 --> 0:15:14.840
<v Speaker 4>all their clients into these things because they're just lots

0:15:14.880 --> 0:15:19.080
<v Speaker 4>more paperwork, lots of messes, lots of legal stuff, and like,

0:15:19.120 --> 0:15:21.920
<v Speaker 4>why not make it as close as possible to doing

0:15:21.920 --> 0:15:24.240
<v Speaker 4>something in the public markets to do something in private markets?

0:15:24.360 --> 0:15:26.920
<v Speaker 4>And really technology and AI can solve that. So opto

0:15:27.120 --> 0:15:30.240
<v Speaker 4>it's about making people aligned is having one platform.

0:15:29.960 --> 0:15:30.800
<v Speaker 2>Where you do everything.

0:15:30.840 --> 0:15:33.040
<v Speaker 4>And frankly, it's about using my network and my friends

0:15:33.120 --> 0:15:35.480
<v Speaker 4>networks to put what we think is the very best

0:15:35.480 --> 0:15:37.000
<v Speaker 4>stuff on it that my family office is doing, and

0:15:37.080 --> 0:15:38.120
<v Speaker 4>let's share that with others.

0:15:38.640 --> 0:15:42.480
<v Speaker 1>So at this event, we have over two thousand rias

0:15:44.200 --> 0:15:48.040
<v Speaker 1>of these some of them are single practice, small small operations.

0:15:48.040 --> 0:15:51.360
<v Speaker 1>Some are really big firms with tens of billions, hundreds

0:15:51.360 --> 0:15:55.680
<v Speaker 1>of billions of dollars on them. How can large and

0:15:55.680 --> 0:15:59.000
<v Speaker 1>small firms integrate opto into their practice?

0:15:59.120 --> 0:15:59.960
<v Speaker 2>Yeah, I mean they go.

0:16:00.200 --> 0:16:03.200
<v Speaker 4>There are both lots of small firms and some very

0:16:03.280 --> 0:16:04.640
<v Speaker 4>large firms now on opto.

0:16:04.720 --> 0:16:06.400
<v Speaker 2>The goals that it makes it as.

0:16:06.240 --> 0:16:09.400
<v Speaker 4>Easy as possible, similar to Adapar, which has obviously been

0:16:09.440 --> 0:16:11.800
<v Speaker 4>around longer and as a giant, giant company. Now, I mean,

0:16:11.880 --> 0:16:13.840
<v Speaker 4>opto is growing very quickly and we want to learn

0:16:14.080 --> 0:16:16.760
<v Speaker 4>from rias like what about this could be easier for

0:16:17.080 --> 0:16:19.480
<v Speaker 4>you to use it? But we have dozens of firms

0:16:19.480 --> 0:16:22.040
<v Speaker 4>that have that have created custom funds on it for

0:16:22.160 --> 0:16:24.440
<v Speaker 4>their clients and access things that I think otherwise they

0:16:24.440 --> 0:16:26.560
<v Speaker 4>never would have accessed, and made it really easy for

0:16:26.600 --> 0:16:27.040
<v Speaker 4>them to do it.

0:16:27.080 --> 0:16:29.240
<v Speaker 2>So I would love people's feedback on what we're doing.

0:16:29.240 --> 0:16:31.920
<v Speaker 4>Here is a younger company but growing really fast, and

0:16:32.040 --> 0:16:34.160
<v Speaker 4>I'm really proud to kind of get people the best

0:16:34.200 --> 0:16:36.200
<v Speaker 4>access in the alt world. I think it's such a fun,

0:16:36.200 --> 0:16:38.480
<v Speaker 4>interesting world that a lot of people don't know how

0:16:38.520 --> 0:16:40.520
<v Speaker 4>to approach if they know, if they haven't been doing

0:16:40.560 --> 0:16:42.160
<v Speaker 4>it in the past, or if they have been doing

0:16:42.240 --> 0:16:44.840
<v Speaker 4>some but maybe they would have certain expertise in other areas.

0:16:44.840 --> 0:16:47.440
<v Speaker 4>Sometimes for our custom funds, like they'll choose certain areas,

0:16:47.640 --> 0:16:50.040
<v Speaker 4>certain managers they know, but they will compliment it and

0:16:50.080 --> 0:16:51.880
<v Speaker 4>help them do that with other areas they haven't studied

0:16:51.880 --> 0:16:52.320
<v Speaker 4>as much.

0:16:52.560 --> 0:16:54.600
<v Speaker 2>And so you know, we'll love people's feedback.

0:16:54.840 --> 0:16:57.040
<v Speaker 1>So you wear a lot of hats, you're chairmen of

0:16:57.080 --> 0:17:00.680
<v Speaker 1>out of par you're deeply involved in, opto tell us

0:17:00.720 --> 0:17:01.800
<v Speaker 1>about your day job.

0:17:01.920 --> 0:17:04.359
<v Speaker 3>Eight VC a venture capital front.

0:17:04.920 --> 0:17:05.960
<v Speaker 2>Yeah, I know. At the end of the day, I

0:17:05.960 --> 0:17:06.600
<v Speaker 2>went an entrepreneur.

0:17:06.640 --> 0:17:08.920
<v Speaker 4>I like to build things, and a lot of a

0:17:08.960 --> 0:17:12.960
<v Speaker 4>lot of the people from from palent here from Adapar

0:17:13.359 --> 0:17:15.840
<v Speaker 4>have gone on to build a build lots of other companies,

0:17:16.119 --> 0:17:18.040
<v Speaker 4>and so I've been coaching. I started coaching a lot

0:17:18.080 --> 0:17:20.800
<v Speaker 4>of them, just like with PayPal, where we had sixteen

0:17:20.800 --> 0:17:23.040
<v Speaker 4>billion dollar companies come out of that. After eBay bought us,

0:17:23.440 --> 0:17:26.560
<v Speaker 4>Palenteers now had over one hundred successful companies come out

0:17:26.560 --> 0:17:28.840
<v Speaker 4>of it that people have started over the last couple

0:17:28.840 --> 0:17:31.359
<v Speaker 4>of decades. And and so you know, I ended up

0:17:31.480 --> 0:17:33.080
<v Speaker 4>ended up saying, you know, it makes sense to actually

0:17:33.080 --> 0:17:35.119
<v Speaker 4>build an investment firm. My mentors told me I basically

0:17:35.160 --> 0:17:37.480
<v Speaker 4>was doing an investment firm. Didn't have enough money, enough people,

0:17:37.880 --> 0:17:39.719
<v Speaker 4>so so we so the last twelve years we put

0:17:39.760 --> 0:17:41.879
<v Speaker 4>together a pretty big firm in the venture capital space.

0:17:42.200 --> 0:17:45.240
<v Speaker 4>We build, we build and launch companies. We back companies early,

0:17:45.280 --> 0:17:49.280
<v Speaker 4>and I mean we're not Yeah, it's nice and venture

0:17:49.320 --> 0:17:51.880
<v Speaker 4>If you don't raise big funds, they become very, very oversubscribed.

0:17:51.920 --> 0:17:53.639
<v Speaker 4>So I'm not here to raise money for AIGHTVC. But

0:17:53.680 --> 0:17:55.520
<v Speaker 4>it's a it's a fun area. And I'll tell you

0:17:55.560 --> 0:17:57.919
<v Speaker 4>since you're asking about there, there's really two areas that

0:17:57.960 --> 0:18:00.639
<v Speaker 4>we're probably really well known for the last few years.

0:18:01.080 --> 0:18:01.959
<v Speaker 2>One of them is defense.

0:18:02.000 --> 0:18:05.440
<v Speaker 4>We've started multiple new defense companies, including nearby here. We

0:18:05.680 --> 0:18:08.520
<v Speaker 4>actually backed early ANDROL with Palmer Lucky and so my

0:18:08.560 --> 0:18:11.520
<v Speaker 4>expounder colleagues, and they're become a new defense prime, which

0:18:11.520 --> 0:18:13.119
<v Speaker 4>is really cool. If you haven't checked it out online,

0:18:13.119 --> 0:18:15.439
<v Speaker 4>there's amazing videos of the things they're doing. And then

0:18:15.440 --> 0:18:17.720
<v Speaker 4>the other the other two one of them, you know,

0:18:17.800 --> 0:18:19.840
<v Speaker 4>drone swarms have become a huge problem.

0:18:20.520 --> 0:18:21.840
<v Speaker 2>This is really hard to stop.

0:18:21.880 --> 0:18:23.920
<v Speaker 4>We're spending two million dollars missiles to shoot down cheap

0:18:23.920 --> 0:18:26.000
<v Speaker 4>little drones with bombs coming in our troops and they'll

0:18:26.000 --> 0:18:28.760
<v Speaker 4>swarm one hundred at once. So we figured out how

0:18:28.760 --> 0:18:32.720
<v Speaker 4>to use new technology to send out microwave radiation really

0:18:32.720 --> 0:18:35.760
<v Speaker 4>really far from pretty small, pretty small device to shoot

0:18:35.760 --> 0:18:38.639
<v Speaker 4>down swarms of drones, and we're now deployed live. It

0:18:39.119 --> 0:18:40.960
<v Speaker 4>turns out the AI chips can get the power to

0:18:41.000 --> 0:18:42.920
<v Speaker 4>hit the guy. You might try tomitter all at once

0:18:42.960 --> 0:18:44.760
<v Speaker 4>turn them off. So we build that, and we have

0:18:44.840 --> 0:18:48.320
<v Speaker 4>another company building thousands of ships for the US Navy,

0:18:48.359 --> 0:18:50.400
<v Speaker 4>smaller ships because it turns out China has two hundred

0:18:50.400 --> 0:18:53.280
<v Speaker 4>times our shipbuilding capacity, which is frankly a huge crisis.

0:18:53.320 --> 0:18:54.920
<v Speaker 4>You know, it used to being World War Two, Germans

0:18:54.920 --> 0:18:56.639
<v Speaker 4>had better ships than we did, but every time we

0:18:56.720 --> 0:18:58.280
<v Speaker 4>lose a ship, you'd build three morecs. We have the

0:18:58.320 --> 0:19:01.600
<v Speaker 4>best building capacity America now with with literally two hundred

0:19:01.600 --> 0:19:04.240
<v Speaker 4>times the ship building capacity in China, very scary for

0:19:04.240 --> 0:19:06.399
<v Speaker 4>our ability to turn them. So we're figuring out how

0:19:06.400 --> 0:19:09.240
<v Speaker 4>to take our best and brightest. Frankly, Elon Musk's Who's

0:19:09.240 --> 0:19:13.040
<v Speaker 4>a Good Friend has like really revitalized advanced manufacturing in America.

0:19:13.200 --> 0:19:15.680
<v Speaker 4>We're taking some of that talent putting it into military

0:19:15.720 --> 0:19:17.200
<v Speaker 4>areas as well to make sure we stay ahead.

0:19:17.200 --> 0:19:18.480
<v Speaker 2>Of the bad guys. So so wors we're doing a

0:19:18.480 --> 0:19:19.080
<v Speaker 2>lot of defense.

0:19:19.400 --> 0:19:21.520
<v Speaker 4>And then the one one other area I'll mention is

0:19:21.520 --> 0:19:24.160
<v Speaker 4>what we call AI services. And so there's a huge

0:19:24.200 --> 0:19:26.680
<v Speaker 4>part of our economy right now that we can we've

0:19:26.720 --> 0:19:30.440
<v Speaker 4>showing we can actually double or triple a productivity using AI.

0:19:30.680 --> 0:19:34.320
<v Speaker 4>And so this is this is this is stuff like healthcare, building, logistics,

0:19:34.320 --> 0:19:35.840
<v Speaker 4>building back office processes.

0:19:36.040 --> 0:19:38.159
<v Speaker 2>In the alts world, it's like how do you know,

0:19:38.160 --> 0:19:40.080
<v Speaker 2>how do you manage and subscribe and deal with all

0:19:40.119 --> 0:19:41.320
<v Speaker 2>the al paperwork and stuff.

0:19:41.320 --> 0:19:43.919
<v Speaker 4>There's just lots of these areas that are gonna just

0:19:43.960 --> 0:19:46.200
<v Speaker 4>be completely changed, and so we think there's multi trilion

0:19:46.240 --> 0:19:48.480
<v Speaker 4>dollar opportunities in those areas and building a lot of

0:19:48.480 --> 0:19:49.720
<v Speaker 4>companies that are succeeding in them.

0:19:50.000 --> 0:19:52.160
<v Speaker 1>I want to stay with defense a little bit because

0:19:52.280 --> 0:19:55.800
<v Speaker 1>you're involved in so many really interesting areas. I first

0:19:55.840 --> 0:19:58.679
<v Speaker 1>heard of Palmer Lucky with the Oculus, which you were

0:19:58.680 --> 0:20:01.840
<v Speaker 1>an early investor in before I think Facebook ended up

0:20:01.840 --> 0:20:02.880
<v Speaker 1>buying buying that.

0:20:03.320 --> 0:20:05.680
<v Speaker 4>Yeah, Facebook bought up for over two billion dollars just

0:20:05.720 --> 0:20:07.159
<v Speaker 4>a few years. Then you made an ability here at

0:20:07.200 --> 0:20:08.720
<v Speaker 4>like twenty two or something, which is go go to

0:20:08.720 --> 0:20:09.600
<v Speaker 4>your head pretty fast.

0:20:09.880 --> 0:20:12.600
<v Speaker 1>And then not too long ago, maybe it was Wired

0:20:12.640 --> 0:20:16.960
<v Speaker 1>magazine did a profile on really interesting things that Palmer

0:20:17.040 --> 0:20:21.080
<v Speaker 1>is doing with drone technology and defense technology.

0:20:21.400 --> 0:20:23.040
<v Speaker 3>Tell us a little bit about what's going on in

0:20:23.040 --> 0:20:23.520
<v Speaker 3>that space.

0:20:23.840 --> 0:20:24.040
<v Speaker 2>Yeah.

0:20:24.080 --> 0:20:28.680
<v Speaker 4>So, basically, Pounteer in SpaceX were the first two companies

0:20:28.680 --> 0:20:31.399
<v Speaker 4>to break in and effectively become some form of defense prime,

0:20:32.040 --> 0:20:33.880
<v Speaker 4>the first new ones in thirty years because we had

0:20:34.040 --> 0:20:36.320
<v Speaker 4>we had all these old primes, they all consolidated after

0:20:36.320 --> 0:20:38.280
<v Speaker 4>the Cold were end in the nineties, and they basically

0:20:38.280 --> 0:20:41.120
<v Speaker 4>had a total lock on DC and Poundeer. It took

0:20:41.160 --> 0:20:43.680
<v Speaker 4>us a long time, a lot of stubbornness to break

0:20:43.720 --> 0:20:47.480
<v Speaker 4>in and and you know, some points we had to

0:20:47.480 --> 0:20:49.560
<v Speaker 4>sue the US government because they were doing crazy things

0:20:49.600 --> 0:20:51.800
<v Speaker 4>that we want. SpaceX similarly had to sue the US

0:20:51.880 --> 0:20:54.600
<v Speaker 4>government because they just discriminated against new things, right, and

0:20:54.600 --> 0:20:56.960
<v Speaker 4>obviously SpaceX good thing they want because they're obviously one

0:20:57.000 --> 0:20:59.680
<v Speaker 4>hundred times better than they alternative. Frankly, after doing Palenteer,

0:20:59.680 --> 0:21:02.160
<v Speaker 4>I said, this defense stuff is just really stressful. It's

0:21:02.200 --> 0:21:04.000
<v Speaker 4>really you know, hard to break into. You I'm gonna

0:21:04.000 --> 0:21:06.000
<v Speaker 4>do out of par instead. Turns out you guys are

0:21:06.040 --> 0:21:09.720
<v Speaker 4>stressful too. But but but you know, I'm like, I've

0:21:09.760 --> 0:21:12.399
<v Speaker 4>done enough defense. And we started up being pretty bullish

0:21:12.440 --> 0:21:14.280
<v Speaker 4>on things going on between China and the US, and

0:21:14.359 --> 0:21:16.840
<v Speaker 4>very naively thought the world is just gonna go in

0:21:16.880 --> 0:21:19.800
<v Speaker 4>a kind of more peaceful, more prosperous direction. And we

0:21:19.840 --> 0:21:23.159
<v Speaker 4>saw this guy is Shiji Ping come in and I

0:21:23.160 --> 0:21:25.080
<v Speaker 4>have friends with a lot of guys who built these

0:21:25.080 --> 0:21:26.960
<v Speaker 4>companies in China. A lot of them believe in free

0:21:27.040 --> 0:21:29.560
<v Speaker 4>markets read Milton Friedman, like share a lot of our values.

0:21:29.560 --> 0:21:31.960
<v Speaker 4>These are not just because they're Chinese. They're not about people,

0:21:32.119 --> 0:21:35.159
<v Speaker 4>you know, they're not CCP themselves. And we saw Suji

0:21:35.200 --> 0:21:37.040
<v Speaker 4>Pink start cracking down on these guys. A lot of

0:21:37.040 --> 0:21:40.160
<v Speaker 4>them disappeared. They have had multiple friends who knew really

0:21:40.200 --> 0:21:42.280
<v Speaker 4>well who died in their sleep in their forties, you know,

0:21:42.320 --> 0:21:46.040
<v Speaker 4>after being tech billionaires. And we saw him also making

0:21:46.080 --> 0:21:48.080
<v Speaker 4>a lot of our friends force their top engineers to

0:21:48.119 --> 0:21:50.520
<v Speaker 4>work on defense projects. Obviously we don't do that in

0:21:50.600 --> 0:21:53.520
<v Speaker 4>the US, but this became very concerning because China does

0:21:53.600 --> 0:21:56.240
<v Speaker 4>have really top talent and they are forcing them to

0:21:56.240 --> 0:21:58.880
<v Speaker 4>build new things in defense hardware. Meanwhile, in the US,

0:21:59.000 --> 0:22:02.280
<v Speaker 4>those old companies that solidated in the nineties, they're hiring

0:22:02.280 --> 0:22:04.840
<v Speaker 4>basically none of our smartest friends. So this is a crisis.

0:22:04.880 --> 0:22:08.359
<v Speaker 4>You have China building really new advanced defense things. You

0:22:08.400 --> 0:22:10.879
<v Speaker 4>have us spending lots of money very wastefully with without

0:22:10.880 --> 0:22:12.800
<v Speaker 4>top talent. And we said, wow, we need to get

0:22:12.800 --> 0:22:15.359
<v Speaker 4>back in and fix this. So Palmer with three of

0:22:15.359 --> 0:22:19.040
<v Speaker 4>my old palanteer guys, after you know, after selling Oculus

0:22:19.040 --> 0:22:21.320
<v Speaker 4>to Facebook, and they kicked him out of Facebook because

0:22:21.440 --> 0:22:22.800
<v Speaker 4>he did some politics they didn't like.

0:22:22.840 --> 0:22:23.440
<v Speaker 2>He's on the right.

0:22:23.880 --> 0:22:26.320
<v Speaker 4>But so he and these guys start this new company

0:22:26.359 --> 0:22:29.480
<v Speaker 4>nearby here and it's become the most important new defense

0:22:29.560 --> 0:22:32.199
<v Speaker 4>prime in hardware. They have all sorts of products. The

0:22:32.280 --> 0:22:34.800
<v Speaker 4>one you should check out onlines called the Roadrunner. If

0:22:34.800 --> 0:22:36.919
<v Speaker 4>you've ever seen Elon's rockets that kind of go up

0:22:37.119 --> 0:22:40.240
<v Speaker 4>and land themselves. He has the same thing for advanced missiles.

0:22:40.240 --> 0:22:42.400
<v Speaker 4>And so these missiles come in his box and it'll

0:22:42.440 --> 0:22:44.879
<v Speaker 4>go up and it'll track and destroy the bad guys.

0:22:44.960 --> 0:22:46.639
<v Speaker 4>But if not, if you don't use it, if it

0:22:46.640 --> 0:22:48.560
<v Speaker 4>doesn't explode, it'll come back in a land and it'll

0:22:48.560 --> 0:22:50.680
<v Speaker 4>wait to be used again. And so not only is

0:22:50.720 --> 0:22:52.800
<v Speaker 4>it like the twelfth the cost of a Patriot missile,

0:22:53.160 --> 0:22:55.720
<v Speaker 4>it also can be reused we're actually putting member that

0:22:56.200 --> 0:22:58.800
<v Speaker 4>ePRESS company that shoots things down with microwave radiation. We're

0:22:58.800 --> 0:23:00.280
<v Speaker 4>putting it up with that on it. So you can

0:23:00.440 --> 0:23:03.240
<v Speaker 4>imagine a swarm of these going flying, shooting that, turning

0:23:03.240 --> 0:23:05.359
<v Speaker 4>things off and coming back and landing to use it again.

0:23:05.720 --> 0:23:08.159
<v Speaker 4>And you know, modern warfare is gonna be swarms of

0:23:08.200 --> 0:23:11.600
<v Speaker 4>autonomous small vessels, small drones like all these things. And

0:23:12.400 --> 0:23:13.920
<v Speaker 4>we can't afford to do what we've been doing with

0:23:13.960 --> 0:23:15.760
<v Speaker 4>the defense primes, which is to build things that are

0:23:16.000 --> 0:23:19.159
<v Speaker 4>way too expensive, kind of last generations technology, and you're

0:23:19.200 --> 0:23:21.439
<v Speaker 4>gonna run out of them against against the swarms our

0:23:21.600 --> 0:23:23.479
<v Speaker 4>adversaries are gonna have, so we're really trying to make

0:23:23.480 --> 0:23:24.400
<v Speaker 4>sure we stay ahead of them.

0:23:24.560 --> 0:23:28.479
<v Speaker 1>So I want to combine two things you mentioned, the

0:23:28.520 --> 0:23:34.040
<v Speaker 1>new technologies swarming and the massive overcapacity to build chips

0:23:34.080 --> 0:23:37.560
<v Speaker 1>of China versus the US. What have we learned from

0:23:37.560 --> 0:23:41.040
<v Speaker 1>the Russian invasion of Ukraine and how the Ukrainians are

0:23:41.040 --> 0:23:45.200
<v Speaker 1>defending themselves with technology. How can that be applied towards

0:23:45.680 --> 0:23:49.240
<v Speaker 1>any potential invasion of Taiwan by China.

0:23:49.440 --> 0:23:52.800
<v Speaker 4>Yeah, so I mean Palans here, and uh Palnce here,

0:23:52.800 --> 0:23:55.640
<v Speaker 4>and Androl Palmer's company are very active in Ukraine doing

0:23:55.640 --> 0:23:57.320
<v Speaker 4>a lot of doing a lot of important things there.

0:23:58.520 --> 0:24:01.439
<v Speaker 4>We've learned it's about dorn droness. We learned it about costs. So,

0:24:01.480 --> 0:24:04.080
<v Speaker 4>for example, the US makes these anti radiation missiles that

0:24:04.119 --> 0:24:06.119
<v Speaker 4>are three million dollars each. We sold three hundred of

0:24:06.119 --> 0:24:07.920
<v Speaker 4>them to Poland I think a few months ago for

0:24:07.920 --> 0:24:11.160
<v Speaker 4>a billion dollars. And these missiles are able to find

0:24:11.240 --> 0:24:13.760
<v Speaker 4>jammers and take them out. Russia's figured out how to

0:24:13.760 --> 0:24:15.960
<v Speaker 4>build these gammers, and these gemmers, by the way, they

0:24:16.000 --> 0:24:19.040
<v Speaker 4>stop artillery from targeting. They really are dominant on the battlefield.

0:24:19.040 --> 0:24:20.800
<v Speaker 4>So it's electronic warfare. They figure out how to build

0:24:20.800 --> 0:24:23.560
<v Speaker 4>them like twenty thirty thousand dollars. You can't win a

0:24:23.600 --> 0:24:26.080
<v Speaker 4>war with three million dollar things being use to take

0:24:26.119 --> 0:24:28.439
<v Speaker 4>out thirty thousand dollar things. You're just gonna run out

0:24:28.440 --> 0:24:30.040
<v Speaker 4>of No matter how rich you are, you're gonna run

0:24:30.040 --> 0:24:31.480
<v Speaker 4>out of money on the battlefields. A war is like

0:24:31.520 --> 0:24:34.520
<v Speaker 4>an engineering thing where it's about scarcity, right, And so

0:24:34.800 --> 0:24:38.560
<v Speaker 4>we've learned you have to build cheaper, smarter, distributed systems,

0:24:39.040 --> 0:24:41.920
<v Speaker 4>and you know, the electronic warfare stuf's fascinating. I listen,

0:24:42.000 --> 0:24:44.199
<v Speaker 4>there's a lots of smart people who are against us

0:24:44.240 --> 0:24:46.600
<v Speaker 4>going into Russia, like we probably should be careful with

0:24:46.680 --> 0:24:48.320
<v Speaker 4>nuclear power. So I'm not gonna say this is good

0:24:48.400 --> 0:24:51.520
<v Speaker 4>or not, but it's interesting. Ukraine was able to basically

0:24:51.560 --> 0:24:54.760
<v Speaker 4>create like these electronic warfare bubbles by figuring out how

0:24:54.800 --> 0:24:57.200
<v Speaker 4>to jam sensors in different ways and kind of create

0:24:57.240 --> 0:25:00.680
<v Speaker 4>a protection bubble around their forces. Is that then did

0:25:00.680 --> 0:25:03.800
<v Speaker 4>the major incursion and it was all about electronic warfare

0:25:03.840 --> 0:25:06.199
<v Speaker 4>and turning on and off these sensors along with like

0:25:06.240 --> 0:25:09.200
<v Speaker 4>how to manipulate swarms and so battlefield is totally changing

0:25:09.240 --> 0:25:11.680
<v Speaker 4>versus how we do these things twenty years ago. And

0:25:11.880 --> 0:25:13.960
<v Speaker 4>we're trying to make sure we build companies here in

0:25:14.080 --> 0:25:16.800
<v Speaker 4>technologies general response to this and go fast on it.

0:25:16.600 --> 0:25:20.360
<v Speaker 1>So all of these ships, that giant ships that China's building,

0:25:21.040 --> 0:25:23.960
<v Speaker 1>is it likely or possible that there will be a

0:25:24.119 --> 0:25:28.480
<v Speaker 1>small autonomous swarm of vessels that counter balance that.

0:25:29.600 --> 0:25:32.280
<v Speaker 4>Well, China's pretty smart, so I think they're mostly building submarines,

0:25:32.320 --> 0:25:36.760
<v Speaker 4>which are difficult. But yes. So Saronic is the latest

0:25:36.760 --> 0:25:39.200
<v Speaker 4>company we helped starts run by a former nav cl

0:25:39.240 --> 0:25:42.040
<v Speaker 4>of eleven years in Austin, Texas. Law of the Admirals

0:25:42.080 --> 0:25:44.200
<v Speaker 4>of the Fleet are very involved, and what we're doing

0:25:44.680 --> 0:25:46.600
<v Speaker 4>is gonna is We're even next year in Austin. We're

0:25:46.600 --> 0:25:48.760
<v Speaker 4>gonna have six hundred ships we build that are twenty

0:25:48.760 --> 0:25:51.640
<v Speaker 4>four feet, fourteen feet and six feet. These are weaponized

0:25:51.640 --> 0:25:54.639
<v Speaker 4>automus vessels. We're teaching a navy how to use AI

0:25:54.840 --> 0:25:56.840
<v Speaker 4>to have the coordinate. So what we showed them when

0:25:56.840 --> 0:25:59.240
<v Speaker 4>they agree is we can basically triple the battle effectiveness

0:25:59.280 --> 0:26:01.639
<v Speaker 4>of our fleet by complementing all the big ships of

0:26:01.640 --> 0:26:05.040
<v Speaker 4>the line with about thirty smaller weaponized vessels that swarm

0:26:05.080 --> 0:26:06.840
<v Speaker 4>and coordinate and help in different ways.

0:26:06.680 --> 0:26:08.560
<v Speaker 2>It's kind of fun. It's like a little video game

0:26:08.640 --> 0:26:08.960
<v Speaker 2>sort of thing.

0:26:08.960 --> 0:26:10.520
<v Speaker 4>I actually have a lot of La Vido game talent

0:26:10.560 --> 0:26:13.199
<v Speaker 4>helping us map it out and practice battles and stuff.

0:26:13.359 --> 0:26:15.680
<v Speaker 4>But no, yes, we have to do lots of small

0:26:15.680 --> 0:26:17.040
<v Speaker 4>ships if we want to stay ahead of them. And

0:26:18.080 --> 0:26:20.880
<v Speaker 4>unfortunately our DoD is not as competent as it used

0:26:20.880 --> 0:26:22.520
<v Speaker 4>to be. But our private companies are the best in

0:26:22.520 --> 0:26:24.400
<v Speaker 4>the world. So we're going to keep getting involved same

0:26:24.440 --> 0:26:26.439
<v Speaker 4>as private companies did in World War Two and make

0:26:26.440 --> 0:26:27.639
<v Speaker 4>sure we stay ahead of the bad guys.

0:26:28.200 --> 0:26:29.960
<v Speaker 3>So let's shift gears.

0:26:30.000 --> 0:26:32.520
<v Speaker 1>I want to talk about open GOV which is another

0:26:32.560 --> 0:26:36.160
<v Speaker 1>product project of yours. You provide software for over two

0:26:36.240 --> 0:26:39.280
<v Speaker 1>thousand municipalities and state agencies.

0:26:39.920 --> 0:26:41.560
<v Speaker 3>What was that adoption practice?

0:26:41.640 --> 0:26:41.720
<v Speaker 1>Like?

0:26:41.760 --> 0:26:42.680
<v Speaker 3>How long did that take?

0:26:43.560 --> 0:26:46.320
<v Speaker 4>Well, we sold open gov earlier this year for one

0:26:46.320 --> 0:26:48.960
<v Speaker 4>point eight billion dollars to Cox. And you know, originally,

0:26:49.000 --> 0:26:51.520
<v Speaker 4>my friends and I we were wondering why California was

0:26:51.560 --> 0:26:53.480
<v Speaker 4>taxing us so much and where they were spending the money.

0:26:53.520 --> 0:26:56.639
<v Speaker 4>This is about thirteen fourteen years ago. And so I

0:26:56.680 --> 0:26:59.320
<v Speaker 4>got about twenty Stanford students in a nonprofit at first,

0:26:59.320 --> 0:27:01.240
<v Speaker 4>and we tried to just put everything online.

0:27:01.359 --> 0:27:02.639
<v Speaker 2>It was great. I didn't have my name on it.

0:27:02.680 --> 0:27:04.760
<v Speaker 4>So all these students get getting attacked by the unions

0:27:04.760 --> 0:27:06.320
<v Speaker 4>because they really don't like it when you show them

0:27:06.400 --> 0:27:08.800
<v Speaker 4>spending lots of money and government departments. So it basically

0:27:08.880 --> 0:27:11.359
<v Speaker 4>showed that California had a bunch of departments that were

0:27:11.359 --> 0:27:14.000
<v Speaker 4>dominated by the special interests, that we're spending about fifty

0:27:14.040 --> 0:27:16.360
<v Speaker 4>to sixty percent more than this was thirteen years ago

0:27:16.359 --> 0:27:17.520
<v Speaker 4>than you'd imagine by the model.

0:27:17.600 --> 0:27:18.720
<v Speaker 2>Right, of course, it's corrupt.

0:27:19.080 --> 0:27:21.560
<v Speaker 4>And all these cities started emailing us saying, oh, this

0:27:21.600 --> 0:27:23.280
<v Speaker 4>is really cool, show us for our spending.

0:27:23.320 --> 0:27:24.280
<v Speaker 2>Are we doing something good?

0:27:24.359 --> 0:27:27.240
<v Speaker 4>Or not. And we said, sure, send us the data,

0:27:27.320 --> 0:27:29.600
<v Speaker 4>and the cities would say, well, how do we send

0:27:30.000 --> 0:27:32.399
<v Speaker 4>the data over? And we looked into it and there's

0:27:32.440 --> 0:27:35.399
<v Speaker 4>tens of thousands of municipalities in the US and they

0:27:35.440 --> 0:27:37.600
<v Speaker 4>mostly don't have access to their own information. They have

0:27:37.640 --> 0:27:40.159
<v Speaker 4>to pay their IT consultants huge amounts of money to

0:27:40.160 --> 0:27:41.960
<v Speaker 4>do a report. They couldn't even see what they're spending

0:27:42.040 --> 0:27:45.159
<v Speaker 4>versus city next door for similar services. And so we

0:27:45.240 --> 0:27:47.159
<v Speaker 4>decided to build this thing called open gup and we

0:27:47.160 --> 0:27:48.560
<v Speaker 4>build a way for them to see all their data.

0:27:48.600 --> 0:27:51.080
<v Speaker 4>And then we realized governments don't like paying for new things.

0:27:51.080 --> 0:27:52.840
<v Speaker 4>They only can pay for the things they're already doing.

0:27:53.160 --> 0:27:54.680
<v Speaker 4>So we built a bunch of software for them to

0:27:54.760 --> 0:27:57.280
<v Speaker 4>run all their budgeting and their transparency and their processes

0:27:57.320 --> 0:27:58.240
<v Speaker 4>and asset management.

0:27:58.440 --> 0:28:00.119
<v Speaker 2>And it just built a big gup tech comp.

0:28:00.600 --> 0:28:03.359
<v Speaker 1>So I'm kind of fascinated how you've bounced the cross

0:28:03.400 --> 0:28:09.400
<v Speaker 1>sectors big data, defense, government, healthcare, finance, even now education.

0:28:10.160 --> 0:28:13.720
<v Speaker 1>How do you approach learning a space that you have

0:28:13.920 --> 0:28:14.800
<v Speaker 1>been in before.

0:28:16.160 --> 0:28:19.520
<v Speaker 4>Well, you know, the for building these companies and for

0:28:19.560 --> 0:28:22.840
<v Speaker 4>succeeding as an investor and ventor. There's really two things

0:28:22.840 --> 0:28:26.840
<v Speaker 4>that matter. The most one is the very top technology

0:28:26.880 --> 0:28:29.240
<v Speaker 4>talent and technology cultures. So culture is a places like

0:28:29.240 --> 0:28:31.560
<v Speaker 4>Opto where we're iterating with you. It's because we have

0:28:31.640 --> 0:28:34.320
<v Speaker 4>like these really amazing talented people who are building really

0:28:34.400 --> 0:28:37.080
<v Speaker 4>quickly and who are speaking to people and getting feedback

0:28:37.119 --> 0:28:39.200
<v Speaker 4>with them. And the other thing we're looking for is

0:28:39.240 --> 0:28:42.280
<v Speaker 4>like where is a gap in the world, where is

0:28:42.320 --> 0:28:44.479
<v Speaker 4>something Here's where it could be, and here's where it

0:28:44.520 --> 0:28:46.520
<v Speaker 4>is now. So again with so I think, go back

0:28:46.560 --> 0:28:49.160
<v Speaker 4>to all and think about that. It's very clear there's

0:28:49.160 --> 0:28:51.440
<v Speaker 4>a gap. The incentives are misaligned for how people are

0:28:51.480 --> 0:28:54.400
<v Speaker 4>accessing alts, the platforms are wasting a lot of their time,

0:28:54.960 --> 0:28:56.800
<v Speaker 4>and it's just it's not easy for them to see

0:28:56.800 --> 0:28:58.680
<v Speaker 4>what the best things are and to really quickly iterate

0:28:58.720 --> 0:28:59.680
<v Speaker 4>and do their.

0:28:59.640 --> 0:29:01.880
<v Speaker 2>Job for the clients. And so it's very obvious there's

0:29:01.880 --> 0:29:02.440
<v Speaker 2>a gap there.

0:29:02.680 --> 0:29:05.720
<v Speaker 4>And so what you do is you use UCLA hypothesis.

0:29:05.960 --> 0:29:08.200
<v Speaker 4>You get a really great tech culture where the people

0:29:08.240 --> 0:29:11.240
<v Speaker 4>at opto own a bunch of the company themselves, are

0:29:11.280 --> 0:29:13.560
<v Speaker 4>really talented people who've had wins before, know how to

0:29:13.600 --> 0:29:15.520
<v Speaker 4>build and iterate in texts that from out of par

0:29:15.680 --> 0:29:17.800
<v Speaker 4>or from other places. And then and then, and then

0:29:17.840 --> 0:29:19.520
<v Speaker 4>you build and you iterate with clients because no matter

0:29:19.560 --> 0:29:21.040
<v Speaker 4>how smart we think, we are going to come to

0:29:21.040 --> 0:29:22.560
<v Speaker 4>you and show it to you. There's gonna be things

0:29:22.560 --> 0:29:23.800
<v Speaker 4>that are wrong. There's gonna be things that are not

0:29:23.840 --> 0:29:26.280
<v Speaker 4>useful for you. But because you have a great tech culture,

0:29:26.480 --> 0:29:28.360
<v Speaker 4>you can iterate very quickly and learn. And so the

0:29:28.360 --> 0:29:30.600
<v Speaker 4>company's now been around for a few years, is now

0:29:30.680 --> 0:29:32.440
<v Speaker 4>the point where people are starting to really love it

0:29:32.440 --> 0:29:34.800
<v Speaker 4>because they've been, you know, doing a based on feedback.

0:29:34.840 --> 0:29:37.280
<v Speaker 4>So when you approach a new space, it's not about

0:29:37.280 --> 0:29:39.479
<v Speaker 4>being an expert in this space. It's about having a

0:29:39.520 --> 0:29:42.800
<v Speaker 4>really amazing culture that talks to the experts and learns

0:29:42.800 --> 0:29:44.360
<v Speaker 4>from them and builds with them over time.

0:29:45.040 --> 0:29:47.600
<v Speaker 1>And Joe, I love this quote of yours and I

0:29:47.680 --> 0:29:51.040
<v Speaker 1>have to ask you about it. My passions are repairing

0:29:51.160 --> 0:29:58.280
<v Speaker 1>broken industries and government in calculating classical virtues, prioritizing families,

0:29:58.520 --> 0:30:03.880
<v Speaker 1>and enabling a free and prosperous society. I'm kind of politician, right,

0:30:03.880 --> 0:30:06.440
<v Speaker 1>you're running, well, discuss the quote.

0:30:06.560 --> 0:30:08.960
<v Speaker 3>I can't imagine you're ever running for office, are you.

0:30:09.520 --> 0:30:12.040
<v Speaker 4>Sounds like it'd be a horrible job, to be honest,

0:30:12.120 --> 0:30:17.080
<v Speaker 4>I listen, our society is facing a lot of really

0:30:17.120 --> 0:30:19.160
<v Speaker 4>broken things right now. There's a lot of stuff that's wrong,

0:30:19.160 --> 0:30:21.480
<v Speaker 4>and I think I think virtue, classical virtues are missing

0:30:21.480 --> 0:30:24.520
<v Speaker 4>in our society. I think courage is not a virtue

0:30:24.520 --> 0:30:25.800
<v Speaker 4>that's taught to our lead. If you go to a

0:30:25.880 --> 0:30:29.040
<v Speaker 4>top one hundred university, you are taught the opposite of courage.

0:30:29.080 --> 0:30:32.320
<v Speaker 4>You're taught to shut up, virtue signal, go along, don't

0:30:32.320 --> 0:30:35.120
<v Speaker 4>think for yourself, don't oppose the borg. Whatever they say

0:30:35.160 --> 0:30:38.240
<v Speaker 4>is right, and it's really broken. I think it's really

0:30:38.320 --> 0:30:40.280
<v Speaker 4>scary what we face in our society right now. So

0:30:40.720 --> 0:30:42.840
<v Speaker 4>you know, I think the fundamental units of the West

0:30:42.880 --> 0:30:46.840
<v Speaker 4>are the classical virtues, are the liberty values around the Enlightenment,

0:30:47.160 --> 0:30:50.560
<v Speaker 4>are our functional families with two parent households. I think

0:30:50.600 --> 0:30:52.840
<v Speaker 4>these are all things that make our society functional. And

0:30:52.880 --> 0:30:54.680
<v Speaker 4>if we don't say it and we don't fight for it,

0:30:54.720 --> 0:30:56.240
<v Speaker 4>we're gonna have a really broken society.

0:30:56.560 --> 0:30:57.120
<v Speaker 3>All right.

0:30:57.160 --> 0:30:59.400
<v Speaker 1>We have time for a couple of questions from Slido.

0:30:59.520 --> 0:31:02.880
<v Speaker 1>Let's take look, what do you look for when evaluating

0:31:02.960 --> 0:31:05.680
<v Speaker 1>fund managers for yourself and your family office?

0:31:07.240 --> 0:31:11.200
<v Speaker 4>So when I'm looking for fund managers, I mean for me,

0:31:11.320 --> 0:31:13.680
<v Speaker 4>because I have a network with these people. I want

0:31:13.720 --> 0:31:17.680
<v Speaker 4>to know that a lot of my friends really respect them.

0:31:17.680 --> 0:31:19.840
<v Speaker 2>I want to know they have some unfair advantages.

0:31:20.280 --> 0:31:22.719
<v Speaker 4>I want to know that they have obviously an amazing

0:31:22.760 --> 0:31:24.920
<v Speaker 4>track record, and then I want to know that there's

0:31:24.960 --> 0:31:26.920
<v Speaker 4>some reason why they're still in the game and focus.

0:31:27.000 --> 0:31:28.360
<v Speaker 4>I think a lot of people who've had a lot

0:31:28.400 --> 0:31:31.280
<v Speaker 4>of success, there's various things happen in their lives and

0:31:31.280 --> 0:31:32.200
<v Speaker 4>they're no longer working.

0:31:32.200 --> 0:31:33.320
<v Speaker 2>They all long have the same.

0:31:33.120 --> 0:31:34.760
<v Speaker 4>Culture, So I mean, I want to know the culture

0:31:34.760 --> 0:31:37.080
<v Speaker 4>of the organization around them at their fund and know

0:31:37.120 --> 0:31:39.120
<v Speaker 4>that they are still working as hard as they were

0:31:39.440 --> 0:31:41.560
<v Speaker 4>when they first created that, you know, for the first success,

0:31:41.560 --> 0:31:43.640
<v Speaker 4>because I think that's that's something that slips very easily,

0:31:43.640 --> 0:31:44.680
<v Speaker 4>so you got to watch out for it.

0:31:44.880 --> 0:31:48.680
<v Speaker 1>And here's a perfect question to wrap up on what

0:31:48.720 --> 0:31:52.680
<v Speaker 1>are the most exciting trends you're seeing in the marketplace today?

0:31:52.760 --> 0:31:54.760
<v Speaker 4>So the most exciting trend by far, I started to

0:31:54.800 --> 0:31:58.000
<v Speaker 4>hint at it earlier is what's going on with applying

0:31:58.080 --> 0:32:01.200
<v Speaker 4>AI to services industries. There's about five trillion dollars of

0:32:01.240 --> 0:32:04.360
<v Speaker 4>wages in the US in the services sector. Over two

0:32:04.360 --> 0:32:07.200
<v Speaker 4>trillion dollars of those wages are in the areas where

0:32:07.240 --> 0:32:10.040
<v Speaker 4>we've already shown you can double the proctivity, in some

0:32:10.080 --> 0:32:13.120
<v Speaker 4>cases triple the cash flow from these old legacy businesses.

0:32:13.480 --> 0:32:16.120
<v Speaker 4>This is a whole new area of tech enabled services

0:32:16.120 --> 0:32:17.000
<v Speaker 4>that actually works.

0:32:17.040 --> 0:32:17.280
<v Speaker 2>Now.

0:32:17.600 --> 0:32:21.520
<v Speaker 4>We're seeing, example, healthcare billing two to eighty billion dollar revenue,

0:32:21.560 --> 0:32:25.320
<v Speaker 4>industry typical margins twenty percent. We already have companies getting

0:32:25.320 --> 0:32:28.480
<v Speaker 4>fifty sixty percent margin. Fixing that space, there's huge parts

0:32:28.520 --> 0:32:31.440
<v Speaker 4>of our economy. We're gonna have proctivity shoot upwards. If

0:32:31.440 --> 0:32:33.320
<v Speaker 4>we can manage not to break our country with the

0:32:33.360 --> 0:32:35.440
<v Speaker 4>stupid government stuff the next several years, we're gonna have

0:32:35.520 --> 0:32:36.640
<v Speaker 4>a very productive society.

0:32:36.800 --> 0:32:40.000
<v Speaker 1>That was my conversation with Joe Lonsdale. He is the

0:32:40.040 --> 0:32:42.920
<v Speaker 1>co founder of Palanteer, as well as a number of

0:32:42.960 --> 0:32:47.520
<v Speaker 1>other finance and technology related startups. I thought the discussion

0:32:47.560 --> 0:32:49.800
<v Speaker 1>was fascinating and I can't wait to get him in

0:32:49.840 --> 0:32:52.800
<v Speaker 1>the studio for a full ninety minutes to really do

0:32:52.880 --> 0:32:57.320
<v Speaker 1>a deep dive into his career. If you enjoy this conversation,

0:32:57.520 --> 0:32:59.160
<v Speaker 1>well be showing and check out any of the five

0:32:59.280 --> 0:33:04.080
<v Speaker 1>hundred previous discussions we've had over the past ten years.

0:33:04.440 --> 0:33:08.960
<v Speaker 1>You can find those at iTunes, Spotify, Bloomberg YouTube, wherever

0:33:09.040 --> 0:33:12.080
<v Speaker 1>you find your favorite podcasts, and be sure and check

0:33:12.080 --> 0:33:15.800
<v Speaker 1>out my new short form podcast, At the Money ten

0:33:15.840 --> 0:33:20.560
<v Speaker 1>minute discussions with experts about topics related to your money,

0:33:20.920 --> 0:33:25.240
<v Speaker 1>earning it, spending it, and most importantly, investing it. At

0:33:25.240 --> 0:33:28.200
<v Speaker 1>the Money in the Master's in Business, feed or wherever

0:33:28.240 --> 0:33:42.560
<v Speaker 1>you get your favorite podcasts,