WEBVTT - Josh Wolfe Discusses Innovative Investments (Podcast)

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<v Speaker 1>This is Masters in Business with Barry Ridholts on Bloomberg Radio.

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<v Speaker 1>This week on the podcast, I have an extra special guest.

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<v Speaker 1>His name is Josh Wolfe, and this week is a

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<v Speaker 1>tour to forced discussion on venture capital and technology and

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<v Speaker 1>behavioral psychology in the world of deploying risk capital in

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<v Speaker 1>the sciences. It's absolutely fascinating. If you are at all

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<v Speaker 1>interested in the way venture capitalists think, uh, how new

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<v Speaker 1>technologies are found and developed and exploited, and how they

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<v Speaker 1>are adapted and eventually just become part of the everyday usage,

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<v Speaker 1>and what the future might look like ten forty a

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<v Speaker 1>hundred years off, then you're gonna find this to be

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<v Speaker 1>an absolutely fascinating conversation. So, with no further ado, my

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<v Speaker 1>interview with Josh Wolfe of Lux Capital. This is mess

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<v Speaker 1>There's in Business with Barry Ridholts on Bloomberg Radio. My

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<v Speaker 1>special guest today is Josh wolf He is the co

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<v Speaker 1>founder and managing partner of Lux Capital, a venture capital

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<v Speaker 1>firm that supports basic science and scientists and entrepreneurs who

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<v Speaker 1>are pursuing counter conventional solutions to some of the world's

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<v Speaker 1>most vexiting problems. He is a founding investor and board

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<v Speaker 1>member with Bill Gates in Kai Metta. He is a

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<v Speaker 1>co investor with folks such as Mark Andreson and Peter Thiel,

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<v Speaker 1>and he's a director at firms such as Shapeways, Stratio,

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<v Speaker 1>Scalio Control Labs, and Variant. Josh Wolf, Welcome to Bloomberg.

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<v Speaker 1>Very great to be with you. So you have an

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<v Speaker 1>unusual background. You're You're like a molecular biologist coming out

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<v Speaker 1>of Cornell and your early work is on aids immuno

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<v Speaker 1>pathology research. How does that translate to finance? And then

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<v Speaker 1>venture capital? Venture capital is investing the people who are

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<v Speaker 1>inventing the future, and people that are inventing the future

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<v Speaker 1>tend to be technologists and engineers and scientists, and so

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<v Speaker 1>you have to speak their language. But when I was

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<v Speaker 1>growing up, I was going to be a doctor. I

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<v Speaker 1>was gonna go get an m d and then an

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<v Speaker 1>m d, pH d. And then I met people who

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<v Speaker 1>were actually making money, and I got way more enamored

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<v Speaker 1>with capital markets. And I remember doing my internships on

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<v Speaker 1>Wall Street, and then I was at the Summer's doing

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<v Speaker 1>uh scientific research, and my mentor was actually trading futures

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<v Speaker 1>and options in the science lab, and I got so excited.

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<v Speaker 1>I said, you know, what are you doing? And he

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<v Speaker 1>explained and and so I got way more enamored with

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<v Speaker 1>capital markets than than science itself. But venture capital was

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<v Speaker 1>the perfect hybrid because you get to bet on scientists

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<v Speaker 1>who are inventing the future, but you just gotta understand

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<v Speaker 1>what they're doing. So how much of this being enamored

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<v Speaker 1>on of finance comes from your background? You you grew

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<v Speaker 1>up in in the hood in Brooklyn? Yeah, well, I

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<v Speaker 1>have a buddy you grew up in c Gate. I

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<v Speaker 1>know that area really well, Um, did that affect the

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<v Speaker 1>way you looked at the world of of money and

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<v Speaker 1>capital or was it just your upgring Well, first of all,

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<v Speaker 1>if you don't grow up with money, you want it.

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<v Speaker 1>So that's always a virtuous thing. And I actually think

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<v Speaker 1>that the best entrepreneurs the kind of people that we

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<v Speaker 1>back and we look forward. If you can find the

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<v Speaker 1>people that have the chip on their shoulder that they

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<v Speaker 1>came from some sort of messed up background, it's almost

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<v Speaker 1>always predictive that they're going to be very ambitious, hungary

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<v Speaker 1>and ambitious. Now you want them to be ethical and

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<v Speaker 1>ambitious because you also get a lot of hustlers and hucksters. Now,

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<v Speaker 1>you grew up in Coney Island right by the seaside Carnival,

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<v Speaker 1>and you are filled with hucksters. So I would say,

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<v Speaker 1>if anything, growing up in Coney Island made me super

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<v Speaker 1>skeptical and cynical of human nature. I'm always fond of

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<v Speaker 1>the Shakespearean quote that there's daggers and men smiles, and

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<v Speaker 1>you grow up with this distrusting, slightly squinty eyed. You know,

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<v Speaker 1>what's this guy's angle? What's the agenda that he's got?

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<v Speaker 1>The boardwalk? Did that to you? Yeah, you've got New

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<v Speaker 1>York City people talk about is diverse, but the reality

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<v Speaker 1>is you've got Brighton Beach with Russians, and you've got

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<v Speaker 1>Coney Island that's primarily African American Latino, and you've got

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<v Speaker 1>Korean on clothes. But you go to Coney Island on

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<v Speaker 1>the boardwalk and it is just the absolute melting pot

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<v Speaker 1>of New York. That's that's quite quite fascinating. So so

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<v Speaker 1>you end up in finance, who work your way through

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<v Speaker 1>a couple of well known firms. How did you end

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<v Speaker 1>up pivoting to use the VC word into venture cap

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<v Speaker 1>It's funny because the word pivoting is totally banded lux.

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<v Speaker 1>We only pirouette. We don't pivot. We pirouett. I got

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<v Speaker 1>very lucky, and everything in my life I was describes

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<v Speaker 1>randomnessnoptionality and ex post factor. I can explain everything. Is

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<v Speaker 1>this perfectly near chain a priority? You never know and

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<v Speaker 1>you recognize that most people are similarly situated, but are

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<v Speaker 1>somewhat oblivious to that fact. Well, but again, if you're

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<v Speaker 1>gonna be skeptical about other people, then you have to

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<v Speaker 1>be a little bit skeptical of yourself too. So intellectual honesty,

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<v Speaker 1>I think is a is a good virtue, but it's hard.

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<v Speaker 1>So I got lucky, and I met a guy named

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<v Speaker 1>Bill Conway. And Bill is one of the three founders. Yeah, exactly,

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<v Speaker 1>Carlisle Group founder David Rubinstein, famous one. He raises the

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<v Speaker 1>money bill Less, famous by by design and invests it.

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<v Speaker 1>And he's just an incredible human. He decided, And again

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<v Speaker 1>I don't know the circumstances of the day or the

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<v Speaker 1>twenty four hours that preceded our meeting, but he was

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<v Speaker 1>in a good mood and we pitched him and I said,

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<v Speaker 1>you know, we want to build this great firm, And

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<v Speaker 1>he said, I hope you make a billion, and he

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<v Speaker 1>invested with us. In my life, There's not nothing that

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<v Speaker 1>I could have pointed to in the path dependence of

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<v Speaker 1>this internship or this job, or going to Cornell or

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<v Speaker 1>this class I took that would ever lead to that meeting.

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<v Speaker 1>And so I'm humbled by what I call randomness. That

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<v Speaker 1>is truly truly random, isn't it. So you and I

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<v Speaker 1>met at a dinner not too long ago, hosted by

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<v Speaker 1>any Duke on an educational um project that she's working on.

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<v Speaker 1>But I always kind of scan the people who are

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<v Speaker 1>going to be at these dinners, and there was something

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<v Speaker 1>in your bio that really made me laugh. And you

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<v Speaker 1>describe your venture background as having an interest in science

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<v Speaker 1>fiction like technology. I love that descriptor. But you're gonna

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<v Speaker 1>have to explain what you mean by that, okay. So,

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<v Speaker 1>so everything that is around us today was invented by somebody.

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<v Speaker 1>Somebody came up with the idea, and that idea started

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<v Speaker 1>quite literally as a fiction. It did not exist. It

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<v Speaker 1>was in somebody's imagination. Now, if you accept the premise

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<v Speaker 1>that a lot of the inspiration for technology from other

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<v Speaker 1>people who were inspired but didn't invent it, they were

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<v Speaker 1>the people who literally wrote the science fiction books, they

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<v Speaker 1>wrote the graphic novels, they wrote the comic books, they

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<v Speaker 1>made the movie, they did the special effects, and they

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<v Speaker 1>imagined what could be. And it turns out you fast

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<v Speaker 1>forward and you look at the Luxe portfolio today, a

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<v Speaker 1>huge number of the companies that we've invested in the

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<v Speaker 1>ideas behind them, the technologies, the design even was modeled

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<v Speaker 1>on things that happened twenty four years ago in science fiction.

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<v Speaker 1>And I've actually kept a archive of some of the

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<v Speaker 1>sci fi archives, so if we went through these quickly.

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<v Speaker 1>You've got the motorola, probably from Star Trek. It was

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<v Speaker 1>called the star tack phone, right, that was one of

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<v Speaker 1>the first things. Right then in the rotors you can

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<v Speaker 1>get to sing the word Star Trek and not invite

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<v Speaker 1>a trademark dispute exactly. Okay, Now you've got today, you've

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<v Speaker 1>got Siri, and you look at the image and the

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<v Speaker 1>thing for Siri, it's just a silver version of how

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<v Speaker 1>from Space Odyssey. You've got Michael Douglas disclosure. He goes

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<v Speaker 1>into this room and he three D scans himself and

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<v Speaker 1>he enters this virtual reality world. This was around the

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<v Speaker 1>same time as like on More Man. If you remember

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<v Speaker 1>that okay, not not a fan favorite, but one of mine,

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<v Speaker 1>and that sort of presaged the virtual reality landscape. You've

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<v Speaker 1>got pod racing from Star Wars today. That's drone racing Lee.

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<v Speaker 1>You've got robotic surgery when Luke Skywalker's hand is severed

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<v Speaker 1>by Vader. That we got both Intuitive Surgical and then Orse,

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<v Speaker 1>which was one of our companies that we sold to

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<v Speaker 1>Johnson Johnson earlier this year for six billion dollars plus,

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<v Speaker 1>not too bad. And and all of these things were

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<v Speaker 1>born in somebody's imagination. And if you think about really

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<v Speaker 1>what venture capital is, it is believing before other people understand.

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<v Speaker 1>And what are you believing? You're believing in somebody's vision.

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<v Speaker 1>Now the differences, you have to make sure that they're

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<v Speaker 1>not full of it, that you don't get a theo nos.

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<v Speaker 1>And you have to have literally literally just wrote down

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<v Speaker 1>the word there and and and that is now. Now

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<v Speaker 1>here's the intellectually honest thing. You do not know at

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<v Speaker 1>the moment of inception or conception of a company, whether

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<v Speaker 1>the person is malicious or delusional, whether they are intellectually

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<v Speaker 1>honest or not. And so you put up a little money.

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<v Speaker 1>It's like an anti in a poker game. You're trying

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<v Speaker 1>to figure out is this person for real? And you

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<v Speaker 1>try to find what are the technological milestones that will

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<v Speaker 1>tell me that this is for real and not BS.

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<v Speaker 1>And the biggest thing if you walk into my firm

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<v Speaker 1>and you sit in our Monday partners meeting, if you

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<v Speaker 1>asked any of the partners, what is Josh going to

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<v Speaker 1>ask about the technology or what is he thinking? The

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<v Speaker 1>second that somebody is pitching it, I am thinking, whether

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<v Speaker 1>I say publicly or in thinking it privately, is this

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<v Speaker 1>a fraud? So you raised Sarah nos It's such an

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<v Speaker 1>interesting question because my read of that entire situation from

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<v Speaker 1>the get go is that it was both delusional and

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<v Speaker 1>a fraud simultaneously. She had zero medical background. She had

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<v Speaker 1>and it's amazing how all the healthcare and medical device

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<v Speaker 1>vcs passed and everybody else came in didn't know better.

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<v Speaker 1>But it appeared that she believed she could legitimately do this,

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<v Speaker 1>but with no basis in fact. So at what point

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<v Speaker 1>does delusion become fraud? Well, when the technology doesn't work.

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<v Speaker 1>I had a friend who is at a very large

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<v Speaker 1>deck a billion investment fund that was doing crossover investments

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<v Speaker 1>to their public market portfolio. They have forty billion dollars.

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<v Speaker 1>They were making private investments. They were going to visit

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<v Speaker 1>there on us and they said, what's the number one

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<v Speaker 1>question that you would ask if you were us doing diligence?

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<v Speaker 1>And I said, does it work? And you'd be surprised

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<v Speaker 1>how many people just want to believe the narrative of

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<v Speaker 1>the story goes back to science fiction and not verifying

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<v Speaker 1>if it's science fact. Now, you had all these other

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<v Speaker 1>telltale signs with her, Uh, the octygen are in boards,

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<v Speaker 1>which all signaling value people that had you know, great

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<v Speaker 1>military or geopolitical and and just tolly inappropriate from medical technology.

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<v Speaker 1>But to your point, there was nobody there that really

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<v Speaker 1>had any sophisticated biotype perform and experience. Now, the truth

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<v Speaker 1>is liquid biopsy, the ability to detect from a small

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<v Speaker 1>drop of blood analytes that are indicative of cancer or

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<v Speaker 1>something else will eventually from someone see the light of day.

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<v Speaker 1>But you think about the scar that it has put

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<v Speaker 1>on the industry in the sector and how hard it

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<v Speaker 1>is for a legitimate entrepreneur that's developing legitimate technology. Today

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<v Speaker 1>they've raised this significantly, So it's not just that she

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<v Speaker 1>was a fraud, and her partners were frauds. They've literally

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<v Speaker 1>set medical technology back because now everyone's gonna be skeptical

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<v Speaker 1>even of legitimate breakthroughs. And now, realistically, is it set

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<v Speaker 1>back one year or two years or three years, or

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<v Speaker 1>has it raised the cost of capital for that? How

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<v Speaker 1>many people will die over the course of that setback.

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<v Speaker 1>So you can argue that there's blood on our Yeah,

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<v Speaker 1>I'm not a fan. In case you can't tell, I'm

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<v Speaker 1>with you. And look, it's easy for all of us

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<v Speaker 1>to say back then, and I believe, by the way,

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<v Speaker 1>because I know that you are a fellow skeptic that

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<v Speaker 1>was a fraud. It's harder today both socially to come

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<v Speaker 1>out and say I think that another company is a

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<v Speaker 1>specific fraud. Now there's an entire realm of quantum computing

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<v Speaker 1>today that I think is going to be wrought with frauds.

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<v Speaker 1>It has all of the criteria for a fraud. People

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<v Speaker 1>don't understand it. They have fomo if you're missing out,

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<v Speaker 1>they think that it's gonna be something really big. They

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<v Speaker 1>don't want to feel stupid because they don't understand it.

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<v Speaker 1>And so people are parting with money and I think

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<v Speaker 1>that you're going to see at least one and maybe

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<v Speaker 1>as many as five public frauds related to quantum computing.

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<v Speaker 1>The tragedy of the comments finds its way even to

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<v Speaker 1>venture capital. Tell us a little bit about your team

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<v Speaker 1>at LUX, who are your partners and what what does

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<v Speaker 1>everybody do? Well, let's start with my founder, my co founder,

0:11:16.080 --> 0:11:19.199
<v Speaker 1>who's Peter Abert. Peter is my dispositional opposite, which I

0:11:19.240 --> 0:11:20.520
<v Speaker 1>think if you are going to have a firm as

0:11:20.520 --> 0:11:23.559
<v Speaker 1>a critical thing. Now it's interesting because in hedge funds

0:11:23.559 --> 0:11:25.840
<v Speaker 1>you typically have one PM and they make all the decisions.

0:11:26.000 --> 0:11:28.920
<v Speaker 1>In private equity you tend to have teams. So Peter

0:11:29.000 --> 0:11:30.320
<v Speaker 1>and I are the co founders. And the reason that

0:11:30.360 --> 0:11:33.960
<v Speaker 1>it's important is he is the optimist. I am the pessimist.

0:11:33.960 --> 0:11:35.920
<v Speaker 1>I'm sitting before you, and I am wearing all dark.

0:11:36.000 --> 0:11:38.240
<v Speaker 1>I wear all black, and it's just my disposition. I

0:11:38.240 --> 0:11:42.360
<v Speaker 1>expect the worst. It helps pessimistic. But for the skulls

0:11:42.400 --> 0:11:45.319
<v Speaker 1>all over them. Correct Pete. You will catch him in

0:11:45.400 --> 0:11:48.680
<v Speaker 1>nantucket reds, in pastel colors. He is much more like

0:11:48.760 --> 0:11:50.720
<v Speaker 1>my wife, who happens to be an activist hedge fund manager.

0:11:50.760 --> 0:11:53.199
<v Speaker 1>She's more perma smile me as they say you know,

0:11:53.240 --> 0:11:57.560
<v Speaker 1>I've got RB you know, resting be face, so so

0:11:58.800 --> 0:12:00.920
<v Speaker 1>I expect the worst. He expects the best. And if

0:12:00.960 --> 0:12:02.880
<v Speaker 1>you had an entire firm that was like me, we

0:12:02.880 --> 0:12:05.360
<v Speaker 1>would be a bunch of cynical short sellers just trying

0:12:05.400 --> 0:12:08.200
<v Speaker 1>to spot the frauds and doubting everybody. If you had

0:12:08.200 --> 0:12:11.119
<v Speaker 1>a firm entirely like him, we would be lemming growth investors,

0:12:11.160 --> 0:12:13.200
<v Speaker 1>just paying any price and going off the cliff. The

0:12:13.240 --> 0:12:15.199
<v Speaker 1>balance that we've had as friends for twenty five years

0:12:15.240 --> 0:12:17.920
<v Speaker 1>and his partners for twenty has made culturally the firm

0:12:17.960 --> 0:12:20.680
<v Speaker 1>what it is now. From us flows everybody else. And

0:12:20.720 --> 0:12:24.160
<v Speaker 1>so you've got ten other investment professionals, and everybody is

0:12:24.440 --> 0:12:28.880
<v Speaker 1>intellectually and ethnically and gender diverse. Now what is it?

0:12:28.880 --> 0:12:30.760
<v Speaker 1>What does that mean for me? We've got people that

0:12:30.800 --> 0:12:34.800
<v Speaker 1>are Kashmiri, Pakistani, Iranian, Brazilian, Australian, You've got a bunch

0:12:34.840 --> 0:12:37.880
<v Speaker 1>of white New York Jews. But the intellectual mix of

0:12:37.920 --> 0:12:41.400
<v Speaker 1>people is so different. You've got electrical engineer PhDs. You've

0:12:41.400 --> 0:12:43.960
<v Speaker 1>got people that have stem cell PhDs, people in material

0:12:44.040 --> 0:12:46.640
<v Speaker 1>science PhDs, people that have no technical background and are

0:12:46.720 --> 0:12:50.920
<v Speaker 1>excellent at capital raising and marketing. And when we descend

0:12:51.000 --> 0:12:53.400
<v Speaker 1>upon a company the entire And it's funny because I

0:12:53.440 --> 0:12:55.160
<v Speaker 1>used this analogy the other day and people had no

0:12:55.240 --> 0:12:58.040
<v Speaker 1>idea what Vultron was. And I feel like I'm a

0:12:58.040 --> 0:13:00.480
<v Speaker 1>young guy, but jeez, it dated me. But it's like

0:13:00.520 --> 0:13:02.440
<v Speaker 1>Vultron coming together. You get all the robots come together

0:13:02.440 --> 0:13:05.840
<v Speaker 1>into this Megatron and uh, it's just, uh, you know,

0:13:06.040 --> 0:13:08.000
<v Speaker 1>a diverse group of people that all think differently. I

0:13:08.040 --> 0:13:10.520
<v Speaker 1>always say that if two people think the same, one

0:13:10.520 --> 0:13:14.520
<v Speaker 1>of them is unnecessary, and uh, it's it's a lot

0:13:14.559 --> 0:13:18.160
<v Speaker 1>of fun. So you're concerned that your cultural references are

0:13:18.200 --> 0:13:21.800
<v Speaker 1>out of date, and you're like, what almost fort Okay,

0:13:21.840 --> 0:13:24.640
<v Speaker 1>wait until you're in your fifties and you'll drop a

0:13:24.679 --> 0:13:27.760
<v Speaker 1>Monty Python or a Caddy check reference in the whole

0:13:27.760 --> 0:13:33.240
<v Speaker 1>table of millennials look at you like perfect um. So

0:13:33.240 --> 0:13:37.480
<v Speaker 1>so you focus a lot on um. Basic science to

0:13:37.559 --> 0:13:41.920
<v Speaker 1>some degrees tell us the sort of companies luxe investment.

0:13:42.160 --> 0:13:44.640
<v Speaker 1>So it really is something that's in the cutting edge

0:13:44.679 --> 0:13:47.679
<v Speaker 1>of an area that we think that other people haven't found. Now,

0:13:47.679 --> 0:13:49.280
<v Speaker 1>the reason we do that is we want really high

0:13:49.320 --> 0:13:52.199
<v Speaker 1>scientific technical complexity, not because we want to tackle things

0:13:52.280 --> 0:13:54.720
<v Speaker 1>that are really hard. It's because we don't want competition.

0:13:55.280 --> 0:13:57.160
<v Speaker 1>It is way easier in venture capital to go find

0:13:57.160 --> 0:13:59.160
<v Speaker 1>the next company that is developing an app for the

0:13:59.240 --> 0:14:02.960
<v Speaker 1>smartphone or some social media software or something that is

0:14:03.000 --> 0:14:06.040
<v Speaker 1>relatively easy. But the problem with funding easy things is

0:14:06.040 --> 0:14:08.920
<v Speaker 1>you get hundreds of competitors, talk about random outcomes. Of

0:14:09.000 --> 0:14:11.080
<v Speaker 1>those hundreds, who really is going to know which is

0:14:11.080 --> 0:14:14.719
<v Speaker 1>the next Snapchat or Instagram or whatever. It's practically in random. Now,

0:14:14.760 --> 0:14:17.280
<v Speaker 1>I know that you're a student of skill verse lock,

0:14:17.760 --> 0:14:19.800
<v Speaker 1>and the great question always, I think in this domain

0:14:19.920 --> 0:14:22.200
<v Speaker 1>is can you fail on purpose? Something that Michael Mobison

0:14:22.240 --> 0:14:27.240
<v Speaker 1>has and and in in in picking amongst a field

0:14:27.280 --> 0:14:30.960
<v Speaker 1>of five hundred competitors in software, you know you've got

0:14:31.040 --> 0:14:34.400
<v Speaker 1>let's say, equal probability one chance. If you can find

0:14:34.440 --> 0:14:37.280
<v Speaker 1>something where there's only three or four or five competitors,

0:14:37.600 --> 0:14:39.600
<v Speaker 1>you can look a lot smarter because now maybe you

0:14:39.640 --> 0:14:42.200
<v Speaker 1>have a twenty chance, assuming all things equal, of picking

0:14:42.280 --> 0:14:44.960
<v Speaker 1>the winner. Can you can you invest in all five

0:14:45.120 --> 0:14:47.720
<v Speaker 1>or two out of the five or anything? You're typically conflicted,

0:14:47.800 --> 0:14:49.520
<v Speaker 1>but sometimes depending on the stage of things, you might

0:14:49.520 --> 0:14:51.880
<v Speaker 1>invest in one and then later on something else comes

0:14:51.880 --> 0:14:53.600
<v Speaker 1>along and you might invest in it, but because you

0:14:53.640 --> 0:14:55.240
<v Speaker 1>know that it should really be part of the first

0:14:55.280 --> 0:14:57.120
<v Speaker 1>thing that you invest in, and by being able to

0:14:57.120 --> 0:14:59.360
<v Speaker 1>influence that outcome and say, you know what, don't split

0:14:59.400 --> 0:15:02.240
<v Speaker 1>the baby, don't try to split and and and recruit

0:15:02.520 --> 0:15:05.760
<v Speaker 1>competing talent, don't try to go to customers and and

0:15:06.880 --> 0:15:09.720
<v Speaker 1>confuse them. Be part of one enterprise. And it's better

0:15:09.760 --> 0:15:12.680
<v Speaker 1>owned something smaller, of something much bigger than to try to,

0:15:12.800 --> 0:15:14.520
<v Speaker 1>you know, compete head to head. So sometimes we will

0:15:14.560 --> 0:15:16.840
<v Speaker 1>influence those outcomes, but by and large, the stuff that

0:15:16.840 --> 0:15:19.000
<v Speaker 1>we're investing is that the cutting edge of science and technology.

0:15:19.040 --> 0:15:22.160
<v Speaker 1>It's hard, there's barriers to entry, there's intellectual property that

0:15:22.200 --> 0:15:24.280
<v Speaker 1>imposes a negative right on people, so that you have

0:15:24.320 --> 0:15:27.480
<v Speaker 1>a moat. Again, all things that and I am psychotic

0:15:27.520 --> 0:15:30.280
<v Speaker 1>about competitive advantage give the company that you're investing in

0:15:30.320 --> 0:15:33.480
<v Speaker 1>a better chance than just pure luck. It makes a

0:15:33.560 --> 0:15:37.280
<v Speaker 1>lot of sense, uh, when I think about batting averages

0:15:37.720 --> 0:15:41.400
<v Speaker 1>for the typical VC funds, usually, and I'm going back

0:15:41.440 --> 0:15:44.880
<v Speaker 1>to the you know, the John Dwarves of the world, um,

0:15:45.080 --> 0:15:48.360
<v Speaker 1>the eighties and nineties vcs they tend to spread spread

0:15:48.400 --> 0:15:51.280
<v Speaker 1>a lot of money around, most of which did not

0:15:51.600 --> 0:15:55.080
<v Speaker 1>generate a positive yield. And then there's a handful of

0:15:55.200 --> 0:15:59.400
<v Speaker 1>not just winners, but giant outside winners, hundred cks. You know,

0:15:59.480 --> 0:16:02.560
<v Speaker 1>think about eBay and Apple and and Amazon going down

0:16:02.640 --> 0:16:08.080
<v Speaker 1>the list. Given this area and and the more basic

0:16:08.120 --> 0:16:11.760
<v Speaker 1>science that you're focusing on, is it a similar distribution

0:16:12.080 --> 0:16:14.720
<v Speaker 1>or how do the numbers shake out? You're looking for

0:16:15.080 --> 0:16:17.960
<v Speaker 1>one home run to subsidize the next fifty or is

0:16:18.000 --> 0:16:20.280
<v Speaker 1>it the distribution different? So let's let's look at the

0:16:20.320 --> 0:16:23.000
<v Speaker 1>macro on venture. You've got two extremes, one of which

0:16:23.080 --> 0:16:26.280
<v Speaker 1>we say is spray and pray exactly what you're exactly

0:16:26.280 --> 0:16:28.840
<v Speaker 1>what you're describing, Just bet a lot of lottery tickets.

0:16:28.960 --> 0:16:31.520
<v Speaker 1>You have intellectual honesty or told naiveta you don't know

0:16:31.560 --> 0:16:33.320
<v Speaker 1>what's gonna work, and in rhymes, so you know it's

0:16:33.320 --> 0:16:37.200
<v Speaker 1>true exactly. The the other extreme stick with rhyming, wait

0:16:37.440 --> 0:16:40.360
<v Speaker 1>and pay. Okay, so you wait until a winner emerges.

0:16:40.640 --> 0:16:42.680
<v Speaker 1>You pay a very high price for the higher chance

0:16:42.720 --> 0:16:44.920
<v Speaker 1>of being correct. But obviously the higher the price you pay,

0:16:45.080 --> 0:16:48.200
<v Speaker 1>the lower you're expected return. So in one case you're saying, well,

0:16:48.240 --> 0:16:50.440
<v Speaker 1>let's bet in fifty or a hundred or two hundred

0:16:50.440 --> 0:16:52.600
<v Speaker 1>companies and make small investments buying lottery tickets, and the

0:16:52.600 --> 0:16:54.360
<v Speaker 1>other you say we're gonna load up into the ones

0:16:54.400 --> 0:16:55.640
<v Speaker 1>that are winners, but we're gonna do it at such

0:16:55.640 --> 0:16:58.320
<v Speaker 1>a high price, then maybe we're only gonna get a double. Now,

0:16:58.480 --> 0:17:00.840
<v Speaker 1>for a successful venture fund, your look for three x

0:17:01.080 --> 0:17:03.600
<v Speaker 1>or four x cash on cash over the ten year

0:17:03.640 --> 0:17:06.119
<v Speaker 1>period that you've got locked up money. Now, I always

0:17:06.160 --> 0:17:09.200
<v Speaker 1>say the great advantage that we have as venture capitalist,

0:17:09.240 --> 0:17:11.840
<v Speaker 1>let's say, over peers and other alternatives like hedge funds.

0:17:12.000 --> 0:17:16.000
<v Speaker 1>Hedge funds might have quarterly, monthly, maybe annual liquidity redemptions,

0:17:16.080 --> 0:17:18.160
<v Speaker 1>and that's a hard thing because it creates an institutional

0:17:18.160 --> 0:17:20.800
<v Speaker 1>imperative where the manager is focused on the short term.

0:17:20.880 --> 0:17:23.520
<v Speaker 1>We get to focus on five, six, seven years because

0:17:23.560 --> 0:17:27.639
<v Speaker 1>our investors capital is patiently locked up for a decade. Okay,

0:17:28.119 --> 0:17:30.200
<v Speaker 1>if everything goes well, you might get three to four

0:17:30.280 --> 0:17:32.240
<v Speaker 1>x cash on cash. Now some funds you might have

0:17:32.240 --> 0:17:33.760
<v Speaker 1>a ten x fund, and some of you might have

0:17:33.800 --> 0:17:36.240
<v Speaker 1>a too, But on average, that's what you're gaming for.

0:17:36.600 --> 0:17:38.720
<v Speaker 1>There's two ways to cut it. First is you assume

0:17:38.800 --> 0:17:41.720
<v Speaker 1>that one or two of your companies return the entire fund,

0:17:42.000 --> 0:17:44.560
<v Speaker 1>all the capital that you've raised one time. Over our

0:17:44.560 --> 0:17:46.800
<v Speaker 1>newest fund five million dollars, we've got a pair of them.

0:17:46.800 --> 0:17:49.399
<v Speaker 1>It's it's we recently closed a billion dollars, but the

0:17:49.680 --> 0:17:52.399
<v Speaker 1>five million dollars. You might have one company where you

0:17:52.440 --> 0:17:54.720
<v Speaker 1>own ten percent of it and it sells for five

0:17:54.760 --> 0:17:57.560
<v Speaker 1>billion dollars. You've got five hundred million dollars back and

0:17:57.600 --> 0:17:59.880
<v Speaker 1>growth proceeds. It's returning the fund one time over. You're

0:18:00.080 --> 0:18:03.920
<v Speaker 1>next five companies in aggregate proceeds, return the fund another

0:18:03.960 --> 0:18:05.600
<v Speaker 1>time over. And in our case where you build a

0:18:05.640 --> 0:18:09.640
<v Speaker 1>portfolio about companies, then the ensuing fifteen or twenty companies

0:18:09.840 --> 0:18:11.679
<v Speaker 1>will turn it another time and you end up with

0:18:11.680 --> 0:18:13.520
<v Speaker 1>that three x cash on cash. The other way to

0:18:13.560 --> 0:18:15.760
<v Speaker 1>think about it, and again simple math. A third of

0:18:15.800 --> 0:18:18.680
<v Speaker 1>your companies are total zeros. You lose everything, a third

0:18:18.760 --> 0:18:20.760
<v Speaker 1>you make back give or take a dollar, and the

0:18:20.800 --> 0:18:22.399
<v Speaker 1>third you make ten x, and you end up with

0:18:22.440 --> 0:18:24.760
<v Speaker 1>a three x cash on cash. The problem is you

0:18:24.800 --> 0:18:27.080
<v Speaker 1>don't know which companies when you invest, are gonna be.

0:18:27.840 --> 0:18:29.760
<v Speaker 1>If you did, you can only invest in the three

0:18:30.280 --> 0:18:31.560
<v Speaker 1>I'm only going to put the money in the ten

0:18:31.720 --> 0:18:34.200
<v Speaker 1>x correct. Now, of course, what we do wherever your

0:18:34.200 --> 0:18:37.040
<v Speaker 1>confidence in your conviction is high, you upsize, and you

0:18:37.240 --> 0:18:39.680
<v Speaker 1>know portfolio allocation, You put more money in the things

0:18:39.720 --> 0:18:41.080
<v Speaker 1>that you think are going to be great, you try

0:18:41.080 --> 0:18:43.320
<v Speaker 1>to put less money and but put so much of

0:18:43.359 --> 0:18:46.160
<v Speaker 1>this is reputational. And so you mentioned John Doer before

0:18:46.240 --> 0:18:48.280
<v Speaker 1>and some of the great venture capitalists of the past,

0:18:48.800 --> 0:18:52.080
<v Speaker 1>and it was their reputation in backing a winner that

0:18:52.119 --> 0:18:54.360
<v Speaker 1>begot them the next deal. It's very much like when

0:18:54.359 --> 0:18:56.560
<v Speaker 1>you sit in a movie theater and they say from

0:18:56.600 --> 0:18:58.720
<v Speaker 1>the director that brought you you know, or from the

0:18:58.760 --> 0:19:02.200
<v Speaker 1>producers of and it's that signal. It's the same signal

0:19:02.280 --> 0:19:05.800
<v Speaker 1>of why elite you know, universities attract elite performers and

0:19:05.840 --> 0:19:09.040
<v Speaker 1>you get this path positive feedback effect. But so much

0:19:09.040 --> 0:19:11.800
<v Speaker 1>of our business, if you are intellectually honest, is luck.

0:19:12.640 --> 0:19:16.000
<v Speaker 1>There can be no doubt about that. Um. Although if

0:19:16.160 --> 0:19:17.760
<v Speaker 1>you go with this, can you fail on purpose? I

0:19:17.800 --> 0:19:20.399
<v Speaker 1>can guarantee you that I can fail on purpose. I

0:19:20.400 --> 0:19:23.200
<v Speaker 1>can pick the absolute worst entrepreneurs that cannot raise money.

0:19:23.200 --> 0:19:26.359
<v Speaker 1>I can absolutely pick fraudulent companies, and I can absolutely

0:19:26.400 --> 0:19:29.160
<v Speaker 1>pick teams that can never deliver. And I could fail

0:19:29.200 --> 0:19:32.520
<v Speaker 1>on purpose. Well, but that just says that there is

0:19:32.560 --> 0:19:36.800
<v Speaker 1>a skill component that doesn't by itself eliminate the lu

0:19:37.560 --> 0:19:41.560
<v Speaker 1>So the threshold for having a fl decent venture fund

0:19:41.640 --> 0:19:43.879
<v Speaker 1>is hey, if you can eliminate a lot of that fraud,

0:19:44.320 --> 0:19:45.920
<v Speaker 1>that's how you end up with a three or four

0:19:46.200 --> 0:19:47.560
<v Speaker 1>x as opposed to a one and a half for

0:19:47.640 --> 0:19:49.520
<v Speaker 1>a two s well. And really the best is can

0:19:49.560 --> 0:19:52.320
<v Speaker 1>you develop the reputation and can you actually be able

0:19:52.359 --> 0:19:55.119
<v Speaker 1>to help companies so that you get the best entrepreneurs.

0:19:55.160 --> 0:19:57.399
<v Speaker 1>Because the truth is what we do in the end

0:19:57.400 --> 0:19:59.000
<v Speaker 1>of the day of security selection and a little bit

0:19:59.000 --> 0:20:02.399
<v Speaker 1>of competitive intelligence gathering and some smart capital allocation, but

0:20:02.440 --> 0:20:04.720
<v Speaker 1>the most important thing that we can do is attract

0:20:04.800 --> 0:20:07.920
<v Speaker 1>the best founders because they are the people who do everything.

0:20:08.160 --> 0:20:09.639
<v Speaker 1>At the end of the day, limited partners give us

0:20:09.640 --> 0:20:11.160
<v Speaker 1>money and they allocate to us, and we in turn

0:20:11.240 --> 0:20:13.280
<v Speaker 1>give it to the entrepreneur, and the entrepreneur in turn

0:20:13.480 --> 0:20:15.960
<v Speaker 1>decides who they're gonna hire and who they're gonna fire,

0:20:16.000 --> 0:20:18.200
<v Speaker 1>and what technologies they're going to prioritize and how they're

0:20:18.200 --> 0:20:20.240
<v Speaker 1>going to sell. And the single best trait of an

0:20:20.320 --> 0:20:23.760
<v Speaker 1>entrepreneur is somebody that can tell a story, somebody that

0:20:23.800 --> 0:20:26.680
<v Speaker 1>has that narrative power, going back to science fiction and

0:20:26.920 --> 0:20:29.240
<v Speaker 1>just being able to back those individuals. They are the

0:20:29.240 --> 0:20:31.080
<v Speaker 1>people that recruit talent, They are the people that raise

0:20:31.119 --> 0:20:33.800
<v Speaker 1>money They are the people that garner attention and wind deals,

0:20:34.200 --> 0:20:36.720
<v Speaker 1>and that is what makes the metric capital business quite

0:20:36.800 --> 0:20:41.760
<v Speaker 1>quite fascinating. Earlier we were talking about UM science fiction

0:20:41.800 --> 0:20:45.640
<v Speaker 1>and how that led to your interest in venture capital.

0:20:46.280 --> 0:20:50.040
<v Speaker 1>But you've developed a philosophy that I think is somewhat

0:20:50.040 --> 0:20:54.120
<v Speaker 1>atypical from some of those other vcs UH and business

0:20:54.119 --> 0:20:56.600
<v Speaker 1>people I've mentioned. One of the one of the things

0:20:56.640 --> 0:21:01.040
<v Speaker 1>in your bio UM stood out to me EO. Wilson.

0:21:01.320 --> 0:21:03.879
<v Speaker 1>You said he might be the person that had the

0:21:03.920 --> 0:21:08.600
<v Speaker 1>single greatest impact on humanity. Explain that, well, totally biased view,

0:21:08.640 --> 0:21:11.680
<v Speaker 1>but but he had the biggest impact on me intellectually.

0:21:12.080 --> 0:21:15.480
<v Speaker 1>This was modern Renaissance thinking. The book Concilience, which I

0:21:15.560 --> 0:21:19.000
<v Speaker 1>probably read and there about so over twenty years ago.

0:21:19.560 --> 0:21:22.840
<v Speaker 1>Was this idea in science that turned me on. In

0:21:22.840 --> 0:21:26.960
<v Speaker 1>turn to Charlie Monger, these two people are our compatriots.

0:21:27.400 --> 0:21:31.400
<v Speaker 1>Charlie's view of Renaissance thinking and worldly mental models and EO.

0:21:31.440 --> 0:21:34.919
<v Speaker 1>Wilson's view of the unity of the hard sciences and

0:21:34.960 --> 0:21:39.919
<v Speaker 1>the soft sciences, between psychology and physics, between economics and geology,

0:21:39.920 --> 0:21:44.359
<v Speaker 1>and finding patterns lets you identify some universal truths, and

0:21:44.400 --> 0:21:46.560
<v Speaker 1>so if you can continue to find those first principal

0:21:46.720 --> 0:21:48.840
<v Speaker 1>universal truths. I think it sets you on a good

0:21:48.880 --> 0:21:51.919
<v Speaker 1>path for making good decisions. Quite quite interesting. I assume

0:21:51.960 --> 0:21:55.280
<v Speaker 1>you've worked your way through Port Charlie's Almanact. I've given

0:21:55.320 --> 0:21:57.400
<v Speaker 1>so many copies of that away. I've I've created more

0:21:57.560 --> 0:22:01.159
<v Speaker 1>doorstops and the coffee table book gifts, and he's one

0:22:01.160 --> 0:22:02.880
<v Speaker 1>of my whales. If you, if you can get around

0:22:02.920 --> 0:22:04.720
<v Speaker 1>to introducing us, I would love to. You know, I

0:22:05.080 --> 0:22:08.120
<v Speaker 1>have a funny story. Uh. My wife and I went

0:22:08.359 --> 0:22:10.840
<v Speaker 1>years ago to the Berkshire Annual Meeting and we were

0:22:10.880 --> 0:22:12.840
<v Speaker 1>at the I forget if it was the days into

0:22:12.840 --> 0:22:15.960
<v Speaker 1>the Marriot, whatever the hotel was, and before I actually

0:22:16.000 --> 0:22:17.879
<v Speaker 1>had invested with Bill Gates, there was a dinner and

0:22:17.880 --> 0:22:19.840
<v Speaker 1>it was Bill Gates, it was Buffett and it was Monger.

0:22:20.600 --> 0:22:22.159
<v Speaker 1>I picked my wife up from the airport because I

0:22:22.240 --> 0:22:24.600
<v Speaker 1>arrived earlier, and we go out to grab her bag

0:22:24.640 --> 0:22:27.360
<v Speaker 1>and the car was broken into. Your car, our car

0:22:27.440 --> 0:22:29.119
<v Speaker 1>was broken into and everything was stolen, the laptops and

0:22:29.160 --> 0:22:31.680
<v Speaker 1>everything was gone. In Omaha. I go to the front

0:22:31.680 --> 0:22:33.360
<v Speaker 1>desk and while we're going to the front desk, who

0:22:33.400 --> 0:22:36.080
<v Speaker 1>was settling the bill for their private dinner restaurant Charlie

0:22:36.119 --> 0:22:38.959
<v Speaker 1>Munger and here I am. My wife is really upset.

0:22:39.000 --> 0:22:40.720
<v Speaker 1>You know, all our stuff was just stolen from the car.

0:22:41.119 --> 0:22:44.560
<v Speaker 1>And there's Charlie Munger at the front and she looks

0:22:44.600 --> 0:22:46.360
<v Speaker 1>at me and she's like, go ahead. You know, it's

0:22:46.359 --> 0:22:48.480
<v Speaker 1>just she knew that Charlie was gonna trump, you know,

0:22:48.560 --> 0:22:52.520
<v Speaker 1>the front. So um, and you had a conversation. I did,

0:22:53.000 --> 0:22:55.760
<v Speaker 1>and it's a highlight that you have great memories of. Well,

0:22:55.800 --> 0:22:58.040
<v Speaker 1>you know, he's not a very loquacious person, you know,

0:22:58.200 --> 0:23:01.520
<v Speaker 1>nothing to add but h but I think that his

0:23:01.520 --> 0:23:04.440
<v Speaker 1>his rigor in being you know, I remember there was

0:23:04.440 --> 0:23:07.560
<v Speaker 1>a story that somebody asked him what is the single

0:23:07.640 --> 0:23:10.840
<v Speaker 1>thing that you would attribute your success to? And he

0:23:10.840 --> 0:23:14.440
<v Speaker 1>said being rational? Fair enough, right, And that's if you

0:23:14.480 --> 0:23:17.320
<v Speaker 1>can try to be as rational as possible, which means

0:23:17.320 --> 0:23:21.200
<v Speaker 1>identifying all the points where you are irrational. Um and mindful.

0:23:21.320 --> 0:23:23.640
<v Speaker 1>You know. We were at dinner together with Anni Duke

0:23:23.680 --> 0:23:29.160
<v Speaker 1>and Danny Kneman and and Kaneman's partner's wife, Amos Tversky's wife,

0:23:29.160 --> 0:23:32.200
<v Speaker 1>Barbara Correct, who also just wrote an amazing book. And um,

0:23:32.720 --> 0:23:36.199
<v Speaker 1>it's really interesting because Danny has identified all of the

0:23:36.240 --> 0:23:39.679
<v Speaker 1>mental biases, the cognitive biases, that we have and it

0:23:39.720 --> 0:23:42.320
<v Speaker 1>doesn't matter because even being aware of them, you still

0:23:42.400 --> 0:23:46.359
<v Speaker 1>he will still fall victim to them. It's called the bias. Bias.

0:23:46.400 --> 0:23:50.199
<v Speaker 1>Even knowing your own awareness of of these cognitive issues

0:23:50.640 --> 0:23:53.040
<v Speaker 1>is not sufficient to defeat them. Looking at an illusion,

0:23:53.119 --> 0:23:55.520
<v Speaker 1>even knowing it as an illusion, it still works on you.

0:23:56.359 --> 0:23:59.320
<v Speaker 1>It's how you wired. You know, we were very well

0:23:59.680 --> 0:24:03.560
<v Speaker 1>does line to adapt to the savannah, But these more

0:24:03.640 --> 0:24:08.760
<v Speaker 1>complex capital risking ventures where risk is out there but

0:24:08.840 --> 0:24:11.800
<v Speaker 1>the dangle of reward, our brains just go on the

0:24:11.800 --> 0:24:15.399
<v Speaker 1>fritz when that's presented to us, at least our instinctual brains.

0:24:15.560 --> 0:24:18.680
<v Speaker 1>Getting past that, you have some shot. But it's not easy.

0:24:18.760 --> 0:24:21.640
<v Speaker 1>But it's interesting because you know, we we respond to

0:24:21.680 --> 0:24:24.200
<v Speaker 1>the bustle in the hedgerow right, the little little sound

0:24:24.200 --> 0:24:25.960
<v Speaker 1>that's there, and is that a tiger you know? Or

0:24:25.960 --> 0:24:27.960
<v Speaker 1>is it just the wind in my world? I have

0:24:28.040 --> 0:24:31.040
<v Speaker 1>to respond to that with heightened sensitivity. Is that a

0:24:31.080 --> 0:24:33.440
<v Speaker 1>little signal over there? Is that entrepreneur into something big?

0:24:33.640 --> 0:24:35.960
<v Speaker 1>And so we're constantly overreacting, in part because it is

0:24:36.000 --> 0:24:38.520
<v Speaker 1>so zero. Some I do not have the opportunity to

0:24:38.560 --> 0:24:40.720
<v Speaker 1>invest in the public markets where I can say, you

0:24:40.760 --> 0:24:42.080
<v Speaker 1>know what, I really like that, and it's up ten

0:24:42.119 --> 0:24:44.080
<v Speaker 1>per cent or it's down ten percent. There is a

0:24:44.200 --> 0:24:47.960
<v Speaker 1>zero sum nature where I am racing to beat everybody

0:24:48.000 --> 0:24:51.119
<v Speaker 1>else to the big scientific technological breakthrough and own it

0:24:51.160 --> 0:24:54.240
<v Speaker 1>before everybody else can. I like that answer, and kudos

0:24:54.359 --> 0:24:58.200
<v Speaker 1>on the Zeppelin reference. I appreciate that. UM. There's another

0:24:58.240 --> 0:25:00.520
<v Speaker 1>quote of yours. I like you. You refer two things

0:25:00.600 --> 0:25:04.520
<v Speaker 1>as minnows and mega's. Explain what that means. This is

0:25:04.560 --> 0:25:06.639
<v Speaker 1>a phenomenon right now, the minnows and the mega's and

0:25:06.720 --> 0:25:10.120
<v Speaker 1>venture capital UM. Historically, you had lots of firms that existed,

0:25:10.119 --> 0:25:12.359
<v Speaker 1>and maybe they were two hundred, four hundred, five hundred

0:25:12.359 --> 0:25:15.280
<v Speaker 1>million dollar firms. What you've had in the past few

0:25:15.359 --> 0:25:18.280
<v Speaker 1>years is a phenomenon that has created a barbell of

0:25:18.359 --> 0:25:21.840
<v Speaker 1>capital allocation to very small funds, and many of them

0:25:21.920 --> 0:25:24.040
<v Speaker 1>what I call the minnows. These are people who have

0:25:24.160 --> 0:25:27.520
<v Speaker 1>raised ten or twenty or fifty or a hundred million dollars.

0:25:27.760 --> 0:25:29.800
<v Speaker 1>They are a single or in some cases a duo

0:25:30.000 --> 0:25:32.399
<v Speaker 1>g P general partner, and this is a spray and

0:25:32.440 --> 0:25:34.879
<v Speaker 1>prey approach to VC. In some cases they are, but

0:25:34.920 --> 0:25:39.200
<v Speaker 1>more importantly, they're very It's like the institutionalization of Angel investing. Okay,

0:25:39.359 --> 0:25:42.080
<v Speaker 1>that's fair. Why is this happening in part because there

0:25:42.119 --> 0:25:45.040
<v Speaker 1>is a junior person at a major fund who found

0:25:45.080 --> 0:25:47.480
<v Speaker 1>the hot deal that made the fund a lot of money.

0:25:47.840 --> 0:25:49.720
<v Speaker 1>But the problem is that person is not part of

0:25:49.720 --> 0:25:52.640
<v Speaker 1>the succession of the partnership. They don't have the economics,

0:25:52.640 --> 0:25:55.040
<v Speaker 1>They're not gonna get paid. So the limited partners recognized,

0:25:55.080 --> 0:25:57.520
<v Speaker 1>you know what, Jane Smith or Joe Smith, they were

0:25:57.560 --> 0:25:59.879
<v Speaker 1>really the deal maker here. Let's put them in business

0:26:00.000 --> 0:26:01.760
<v Speaker 1>because they are the future of venture capital. And the

0:26:01.920 --> 0:26:04.359
<v Speaker 1>LPs are thinking, how do I get a big allocation

0:26:04.600 --> 0:26:06.800
<v Speaker 1>in the next climate Perkins or Sequoia, and how do

0:26:06.800 --> 0:26:10.240
<v Speaker 1>I get that early? So that has created what is

0:26:10.280 --> 0:26:12.359
<v Speaker 1>intelligent to do on a small basis with a handful

0:26:12.359 --> 0:26:14.119
<v Speaker 1>of these people. But again a prior you don't know

0:26:14.160 --> 0:26:16.679
<v Speaker 1>which ones are going to be really successful hundreds and

0:26:16.760 --> 0:26:18.960
<v Speaker 1>hundreds of minnows. Now, the way that we look at

0:26:18.960 --> 0:26:20.440
<v Speaker 1>that as a firm is, these people are our friends.

0:26:20.400 --> 0:26:22.000
<v Speaker 1>They are a source of deal flow. We can be

0:26:22.000 --> 0:26:23.719
<v Speaker 1>a source of capital to them. Some of them are

0:26:23.720 --> 0:26:26.600
<v Speaker 1>going to turn into great franchises. Nearly impossible to predict

0:26:26.640 --> 0:26:29.880
<v Speaker 1>which ones. At the other extreme, you have the megas,

0:26:29.960 --> 0:26:32.760
<v Speaker 1>the megas are the people that are raising billions of dollars.

0:26:33.160 --> 0:26:36.280
<v Speaker 1>Now the eight hundred pound guerrilla or Godzilla, depending on

0:26:36.320 --> 0:26:39.800
<v Speaker 1>your view, is soft Bank? Sure SoftBank has cosion funds.

0:26:39.880 --> 0:26:43.600
<v Speaker 1>Is just it's a hundred billion dollar guerrilla. Well, it

0:26:43.720 --> 0:26:46.639
<v Speaker 1>is a complex beast, and I would call it Godzilla.

0:26:47.119 --> 0:26:51.280
<v Speaker 1>And it has completely changed the undulating landscape. Why because again,

0:26:51.440 --> 0:26:55.480
<v Speaker 1>in public markets you have relative efficiency at times. Of course,

0:26:55.520 --> 0:26:57.520
<v Speaker 1>you know you have massive inefficiencies at the times, but

0:26:57.600 --> 0:27:00.520
<v Speaker 1>there is no market more inefficient than ven your capital.

0:27:00.760 --> 0:27:03.159
<v Speaker 1>Where in the private markets, a single price setter can

0:27:03.200 --> 0:27:05.399
<v Speaker 1>come and just decide what the price of something is.

0:27:05.480 --> 0:27:07.800
<v Speaker 1>They create the market clearing price. There is no short selling,

0:27:07.840 --> 0:27:11.480
<v Speaker 1>there's no counter offers, there's very little liquidity. So soft

0:27:11.560 --> 0:27:14.520
<v Speaker 1>Bank has come and created all of these unicorns and

0:27:14.680 --> 0:27:17.720
<v Speaker 1>deck accords. And what's crazy is the money that they're

0:27:17.720 --> 0:27:20.439
<v Speaker 1>putting to work. In some cases they are pricing up

0:27:20.480 --> 0:27:23.359
<v Speaker 1>their own investments. Now, put on the tinfoil hat for

0:27:23.400 --> 0:27:27.080
<v Speaker 1>a moment. I have a more slightly nefarious view that

0:27:27.200 --> 0:27:29.520
<v Speaker 1>a reason that soft Bank is doing this. Understanding the

0:27:29.600 --> 0:27:32.639
<v Speaker 1>motive is that they're doing this to be able to

0:27:32.760 --> 0:27:36.520
<v Speaker 1>create paper assets and increases and paper valuations that can

0:27:36.600 --> 0:27:40.800
<v Speaker 1>serve as collateral against indebtedness. That it's north of a

0:27:42.000 --> 0:27:45.240
<v Speaker 1>billion dollars. So by being able to invest in we

0:27:45.359 --> 0:27:47.320
<v Speaker 1>work at ten billion dollars and then pricing it up

0:27:47.359 --> 0:27:50.080
<v Speaker 1>to twenty, you just showed that you had gain and

0:27:50.119 --> 0:27:52.560
<v Speaker 1>your billion dollar or two billion dollar investment. And if

0:27:52.600 --> 0:27:54.320
<v Speaker 1>you look at their earnings over the past one or

0:27:54.320 --> 0:27:57.520
<v Speaker 1>two or three quarters, a significant portion of the profits

0:27:57.560 --> 0:28:00.159
<v Speaker 1>that they are reported is from these paper gains I

0:28:00.200 --> 0:28:03.480
<v Speaker 1>liquid and then when one of these companies actually exits

0:28:03.560 --> 0:28:06.399
<v Speaker 1>and you have liquidity, like an uber or gardens, they

0:28:06.520 --> 0:28:09.119
<v Speaker 1>take those proceeds instead of distributing to the investors, They say,

0:28:09.119 --> 0:28:11.400
<v Speaker 1>you know what, we're gonna borrow against this. We're gonna

0:28:11.440 --> 0:28:14.280
<v Speaker 1>issue debt and sell it to retail. So I think

0:28:14.320 --> 0:28:16.720
<v Speaker 1>the entire complex, which is really run by a bunch

0:28:16.760 --> 0:28:19.399
<v Speaker 1>of Deutsche Bank X credit structure credit. You know, Deutsche

0:28:19.440 --> 0:28:21.560
<v Speaker 1>Bank is the most straight up bank there is, of course,

0:28:21.680 --> 0:28:23.320
<v Speaker 1>I mean, there's no risk there that you know, you

0:28:23.400 --> 0:28:25.879
<v Speaker 1>have total collapse and uh so, so I think that

0:28:26.000 --> 0:28:29.920
<v Speaker 1>this is for venture capital systemic risk and one of

0:28:29.960 --> 0:28:34.320
<v Speaker 1>the poster children of illiquidity. I think that the narrative

0:28:34.400 --> 0:28:37.640
<v Speaker 1>about singularity in the future. All of that is great

0:28:37.680 --> 0:28:40.600
<v Speaker 1>for society because it funds all kinds of experiments. But

0:28:40.800 --> 0:28:42.800
<v Speaker 1>for the soft bank and soft bingk investors, I would

0:28:42.800 --> 0:28:45.600
<v Speaker 1>be very, very nervous. So soft bank is a Ponzi scheme.

0:28:45.720 --> 0:28:48.280
<v Speaker 1>Quote unquote, says Josh Wolfe. I'm gonna put that down

0:28:48.360 --> 0:28:51.440
<v Speaker 1>and put those words in your mouth. Um. The minnow

0:28:51.640 --> 0:28:55.640
<v Speaker 1>and mega model, by the way, very much reminds me

0:28:56.000 --> 0:28:58.360
<v Speaker 1>of one of the smartest things that one of the

0:28:58.440 --> 0:29:01.760
<v Speaker 1>smartest banks does, which is Goldman Sacks. Are you familiar?

0:29:02.320 --> 0:29:04.360
<v Speaker 1>You know when when Goldman Sacks has a hot trader

0:29:04.440 --> 0:29:07.800
<v Speaker 1>or they have a manager who's killing it, rather than

0:29:07.880 --> 0:29:10.200
<v Speaker 1>have that person slip out and launched their own thing,

0:29:10.320 --> 0:29:12.120
<v Speaker 1>they'll tap and say, hey, have you have a thought

0:29:12.160 --> 0:29:14.960
<v Speaker 1>of starting a hedge fund? Will help fund you. We'll

0:29:14.960 --> 0:29:17.240
<v Speaker 1>give you first billion dollars, will help you raise capital

0:29:17.320 --> 0:29:20.200
<v Speaker 1>owned by the way, where your prime broker, and we're

0:29:20.200 --> 0:29:23.160
<v Speaker 1>gonna have a piece of the GP. But go out

0:29:23.320 --> 0:29:26.560
<v Speaker 1>and um, a thousand minnows have spawned, and that's how

0:29:26.640 --> 0:29:29.280
<v Speaker 1>you end up with where we twelve thousand hedge funds

0:29:29.320 --> 0:29:33.120
<v Speaker 1>these days, most of which barely earned their keep um

0:29:33.680 --> 0:29:37.600
<v Speaker 1>including fees. Beyond fees it's it's not necessarily a money maker,

0:29:37.960 --> 0:29:43.360
<v Speaker 1>but that description of VC funding minnows is what Goldman

0:29:43.360 --> 0:29:45.200
<v Speaker 1>has been doing for I don't know, twenty years. It's

0:29:45.240 --> 0:29:46.880
<v Speaker 1>actually very interesting because on the hedge fund side, you know,

0:29:47.040 --> 0:29:52.120
<v Speaker 1>between Citadel and Millennium and bally Asney and SEC, you've

0:29:52.160 --> 0:29:54.040
<v Speaker 1>seen that phenomenon right where they say, Okay, we're gonna

0:29:54.040 --> 0:29:55.360
<v Speaker 1>do risk management of the top, we're gonna have a

0:29:55.400 --> 0:29:56.880
<v Speaker 1>lot of people will blow them out if they lose

0:29:56.960 --> 0:29:59.280
<v Speaker 1>you know, teen percent or whatever. The was notorious for

0:29:59.360 --> 0:30:01.960
<v Speaker 1>that in in venture capital. First of all, the time

0:30:02.040 --> 0:30:04.200
<v Speaker 1>frame to know if somebody has made money is so long.

0:30:04.640 --> 0:30:06.640
<v Speaker 1>But um, but you haven't had that kind of institutional

0:30:06.720 --> 0:30:09.520
<v Speaker 1>complex because the time that it takes to find out

0:30:09.560 --> 0:30:12.080
<v Speaker 1>if somebody is right or wrong, the pay schemes, all this,

0:30:12.240 --> 0:30:14.360
<v Speaker 1>it's just it's it's very complicated. But you do have

0:30:14.440 --> 0:30:19.000
<v Speaker 1>this bifurcation in many many investors that are making small bets,

0:30:19.440 --> 0:30:21.400
<v Speaker 1>and that is good for the angel investor, the person

0:30:21.480 --> 0:30:23.240
<v Speaker 1>that's starting up. It is easier than ever if you

0:30:23.320 --> 0:30:26.680
<v Speaker 1>want to start a business to find capital, and that

0:30:26.800 --> 0:30:30.480
<v Speaker 1>has an important footnote which is the beneficiary of that.

0:30:30.560 --> 0:30:34.240
<v Speaker 1>Over the past few years has been we work because

0:30:34.320 --> 0:30:36.200
<v Speaker 1>ever I see, I thought you're gonna say the public,

0:30:36.320 --> 0:30:39.760
<v Speaker 1>why why we Because the public gets subsidized. The public

0:30:39.880 --> 0:30:42.640
<v Speaker 1>is always the beneficiary in the end, even during bubbles, right.

0:30:42.680 --> 0:30:45.600
<v Speaker 1>I mean, of course pensioners and retirees lose money, but

0:30:45.680 --> 0:30:49.800
<v Speaker 1>the reality is we continue progress. Right in the Jim

0:30:49.880 --> 0:30:52.400
<v Speaker 1>Sarrewicki had a great quote many years ago in The

0:30:52.440 --> 0:30:55.120
<v Speaker 1>New Yorker which said, in greed and average lies the

0:30:55.160 --> 0:30:58.160
<v Speaker 1>hope of progress. Sure, and it's true because that's what happens. Right.

0:30:58.160 --> 0:31:00.000
<v Speaker 1>Everybody finds something, they overdo it in the short term,

0:31:00.240 --> 0:31:03.520
<v Speaker 1>they underestimated the long term. But in that greed and avarice,

0:31:03.800 --> 0:31:06.200
<v Speaker 1>lots of stuff gets laid down. The book that best

0:31:06.240 --> 0:31:10.240
<v Speaker 1>summings up that sir Wicki quote is um Pop Why

0:31:10.320 --> 0:31:13.479
<v Speaker 1>bubbles are great for the economy. So you look at

0:31:13.600 --> 0:31:17.240
<v Speaker 1>railroads and televisions and cars and computers and fiber optics.

0:31:17.720 --> 0:31:21.560
<v Speaker 1>Every with the exception of financial bubbles like the Great

0:31:21.600 --> 0:31:26.000
<v Speaker 1>Financial Crisis just leaves behind debt. But every other bubble. Look,

0:31:26.440 --> 0:31:30.360
<v Speaker 1>so you probably remember Global Crossing and Metromedia, Fiber and

0:31:30.440 --> 0:31:34.480
<v Speaker 1>all the fiber optics companies that were laying unlit cable

0:31:34.680 --> 0:31:38.200
<v Speaker 1>at something like two thousand dollars a mile, and it

0:31:38.440 --> 0:31:41.640
<v Speaker 1>end they'll go bankrupt, and it gets bought the next

0:31:41.720 --> 0:31:45.600
<v Speaker 1>generation for pennies a mile. And that's what makes YouTube

0:31:45.680 --> 0:31:49.640
<v Speaker 1>and Facebook and Netflix and all these other bandwidth intensive

0:31:50.320 --> 0:31:56.520
<v Speaker 1>applications viable because some losing investment basically made the Broadman

0:31:56.560 --> 0:31:58.160
<v Speaker 1>available for free. So you hit it, you hit on

0:31:58.160 --> 0:32:00.760
<v Speaker 1>and I think two really important things and percent right

0:32:00.800 --> 0:32:03.880
<v Speaker 1>right late nineties, you had a narrative promulgated by George Gilder,

0:32:03.880 --> 0:32:06.560
<v Speaker 1>who happens to be a friend. Yeah, but but George

0:32:06.680 --> 0:32:09.400
<v Speaker 1>god Guilder used to literally say I worked with a

0:32:09.440 --> 0:32:12.360
<v Speaker 1>guy used to get the Guilder Telecosm newsletter, and I

0:32:12.400 --> 0:32:14.080
<v Speaker 1>would read it and I would always come away with,

0:32:14.840 --> 0:32:17.800
<v Speaker 1>what is this? I don't do price nonsense. Price is

0:32:17.880 --> 0:32:20.520
<v Speaker 1>what matters in the public markets. How can you not

0:32:20.640 --> 0:32:24.160
<v Speaker 1>do price? George was directionally right about technology, okay, and

0:32:24.200 --> 0:32:26.800
<v Speaker 1>there's certain directions that's a tough call to make. Hey,

0:32:27.120 --> 0:32:30.719
<v Speaker 1>the the fault position of human technological advancement is up.

0:32:31.160 --> 0:32:32.840
<v Speaker 1>I could save you two thousand dollars a year in

0:32:32.880 --> 0:32:36.000
<v Speaker 1>the newsletter, But you had that Guilder effect right where

0:32:36.160 --> 0:32:38.160
<v Speaker 1>he would come out and because everybody else was looking

0:32:38.200 --> 0:32:39.640
<v Speaker 1>at it. It was a big bold letter. Whatever the

0:32:39.680 --> 0:32:42.440
<v Speaker 1>public company, the thing would be upft. Remember Nortel, he

0:32:42.520 --> 0:32:45.440
<v Speaker 1>got behind it exploded, and go down the list of

0:32:46.200 --> 0:32:48.719
<v Speaker 1>all of the j D S Uni phase and all

0:32:48.720 --> 0:32:51.080
<v Speaker 1>these guys. Okay, so so, but you're right, Gary Winnick

0:32:51.320 --> 0:32:55.040
<v Speaker 1>and Global Crossing. Now Hype got high cost a capital,

0:32:55.120 --> 0:32:57.240
<v Speaker 1>God low, like you said, hundreds of miles of dark

0:32:57.240 --> 0:32:59.080
<v Speaker 1>fiber optic God laden lid. And the winner from all

0:32:59.120 --> 0:33:01.000
<v Speaker 1>of that was the third world who got connected to

0:33:01.000 --> 0:33:03.640
<v Speaker 1>the Internet for free. The losers were the growth investors,

0:33:03.680 --> 0:33:07.400
<v Speaker 1>the public investors. The winners were the distressed equity guys

0:33:07.440 --> 0:33:09.720
<v Speaker 1>who came and picked up all the assets for cents

0:33:09.720 --> 0:33:12.640
<v Speaker 1>on the dollar. Now you go back almost a decade

0:33:12.840 --> 0:33:15.720
<v Speaker 1>in venture capital, the same thing was happening with solar,

0:33:16.240 --> 0:33:19.640
<v Speaker 1>an alternative energy. Everybody was funding solar, and you didn't

0:33:19.640 --> 0:33:20.800
<v Speaker 1>have to be a genius to predict this. You just

0:33:20.840 --> 0:33:22.320
<v Speaker 1>hadn't know a little bit of history going back ten

0:33:22.400 --> 0:33:25.400
<v Speaker 1>or fifteen years, which was optical networking was the only

0:33:25.480 --> 0:33:27.240
<v Speaker 1>to be. If history doesn't repeat it rhymes, it was

0:33:27.280 --> 0:33:29.560
<v Speaker 1>going to be the same thing as solar. And so

0:33:29.720 --> 0:33:31.840
<v Speaker 1>in solar we said sit out the ride, don't invest

0:33:31.920 --> 0:33:34.480
<v Speaker 1>You're gonna have massive hype. It's gonna lower the cost

0:33:34.520 --> 0:33:36.640
<v Speaker 1>of capital. People are going to do uneconomic things, and

0:33:36.720 --> 0:33:39.560
<v Speaker 1>the winner will be the third world that gets connected. Now,

0:33:39.640 --> 0:33:42.120
<v Speaker 1>my anticipation of the time was that the private equity

0:33:42.120 --> 0:33:43.840
<v Speaker 1>guys would come in and scoop up these assets for

0:33:43.880 --> 0:33:46.480
<v Speaker 1>cents on the dollars. And I was wrong, really because

0:33:46.520 --> 0:33:48.280
<v Speaker 1>the people that scooped up the assets for cents on

0:33:48.320 --> 0:33:51.360
<v Speaker 1>the dollar were the Chinese. Huh, and they now dominate

0:33:51.440 --> 0:33:55.480
<v Speaker 1>the solar electric quite quite fascinating. Let's let's talk about

0:33:55.640 --> 0:33:58.959
<v Speaker 1>some of the technologies that are out there and how

0:33:59.040 --> 0:34:02.320
<v Speaker 1>they're doing. You know, when three D printing first came out,

0:34:02.800 --> 0:34:07.400
<v Speaker 1>what is it almost fifteen years ago? Is so the

0:34:07.560 --> 0:34:11.120
<v Speaker 1>promise was we'd all have these fun two D three

0:34:11.200 --> 0:34:13.800
<v Speaker 1>D printers. I need a part, you can print just

0:34:13.920 --> 0:34:17.160
<v Speaker 1>about anything. We'd be printing heart valves. So we've been

0:34:17.200 --> 0:34:21.040
<v Speaker 1>printing all this stuff And did we get our our

0:34:21.239 --> 0:34:23.719
<v Speaker 1>hopes up too high? Is that still somewhere off in

0:34:23.760 --> 0:34:27.520
<v Speaker 1>the future or has three D printing really been an

0:34:27.600 --> 0:34:31.120
<v Speaker 1>overhyped bust? Yes? Yes, and yes so really yes, I

0:34:31.239 --> 0:34:33.680
<v Speaker 1>wasn't expecting it has been an overhyped bust. But This

0:34:33.960 --> 0:34:35.920
<v Speaker 1>is predictive if you know your history of technology, what

0:34:36.000 --> 0:34:39.800
<v Speaker 1>you do, you look at Karlotta Perez and the diffusion

0:34:39.800 --> 0:34:43.520
<v Speaker 1>of technology through through history. You go through a um

0:34:43.800 --> 0:34:46.359
<v Speaker 1>installation phase where everybody gets the thing and people are

0:34:46.440 --> 0:34:49.640
<v Speaker 1>tinkering for the past twenty years, and those typically near

0:34:50.200 --> 0:34:52.560
<v Speaker 1>a generational long thing, maybe it's three quarters of a generation,

0:34:52.600 --> 0:34:55.279
<v Speaker 1>but between years. So for the past twenty years you've

0:34:55.320 --> 0:34:58.360
<v Speaker 1>had the installation phase where people are getting lots of

0:34:58.440 --> 0:35:00.719
<v Speaker 1>different three D printers. You have top ones that do

0:35:00.800 --> 0:35:02.719
<v Speaker 1>cost a few thousand dollars, but they really do don't

0:35:02.719 --> 0:35:05.080
<v Speaker 1>do very much. They print plastics and it's good for

0:35:05.560 --> 0:35:08.360
<v Speaker 1>schools and universities and tinkers and this kind of stuff.

0:35:08.640 --> 0:35:11.320
<v Speaker 1>But then you've had the domain of prototyping, and so

0:35:11.440 --> 0:35:13.560
<v Speaker 1>that's also been another you know, early that's a big

0:35:13.640 --> 0:35:16.400
<v Speaker 1>cost saving the two thousand hour or three the bigger

0:35:16.520 --> 0:35:19.000
<v Speaker 1>units that you could design a part and say, let's

0:35:19.000 --> 0:35:20.719
<v Speaker 1>see what it looks like in three days. Yes, but

0:35:20.840 --> 0:35:22.960
<v Speaker 1>it's still modest. It isn't the boom that we've all

0:35:23.000 --> 0:35:25.080
<v Speaker 1>been looking for. Three printing. Now, I do think that

0:35:25.120 --> 0:35:26.959
<v Speaker 1>over the past three or four years we've been entering

0:35:27.239 --> 0:35:29.800
<v Speaker 1>this deployment phase so you go from installation, which is

0:35:29.840 --> 0:35:32.840
<v Speaker 1>twenty years to now deployment. We invested in a company

0:35:32.920 --> 0:35:35.120
<v Speaker 1>called desktop Metal, and when we invested it was about

0:35:35.160 --> 0:35:37.920
<v Speaker 1>three and a half years ago. The industry for spare

0:35:38.000 --> 0:35:42.720
<v Speaker 1>parts and UH end use parts was maybe five billion dollars.

0:35:42.800 --> 0:35:45.880
<v Speaker 1>Today it's nine, so rapid growth in the industry. It's

0:35:45.920 --> 0:35:49.440
<v Speaker 1>probably going to ninety over the next decade. Son x

0:35:50.200 --> 0:35:52.440
<v Speaker 1>ten x and over ten years. Now. Why, if you

0:35:52.520 --> 0:35:56.040
<v Speaker 1>look at most of the economics of manufacturing, it is

0:35:56.120 --> 0:35:59.600
<v Speaker 1>spent on tooling, but the vast majority of the value

0:36:00.080 --> 0:36:03.239
<v Speaker 1>and use parts and these spare parts, if you can

0:36:03.320 --> 0:36:05.759
<v Speaker 1>change the economics of how you make this stuff. Historically

0:36:05.800 --> 0:36:07.960
<v Speaker 1>you ship them and you ship it three ways see

0:36:08.360 --> 0:36:10.560
<v Speaker 1>air or land, but there's a fourth way to ship

0:36:10.600 --> 0:36:14.320
<v Speaker 1>apart digital digital. So eventually my mechanic is going to

0:36:14.400 --> 0:36:17.200
<v Speaker 1>tell me my turbo charger needs a new fan and

0:36:17.280 --> 0:36:18.880
<v Speaker 1>he'll be able to print it and slap it in

0:36:18.920 --> 0:36:21.160
<v Speaker 1>instead of waiting six weeks for it to show up

0:36:21.239 --> 0:36:23.600
<v Speaker 1>from Germany. And in fact desktop Metal is working with

0:36:23.680 --> 0:36:26.120
<v Speaker 1>I think seven different automotive companies for exactly this. These

0:36:26.160 --> 0:36:30.399
<v Speaker 1>small bespoke parts, a water impeller, UH something is part

0:36:30.440 --> 0:36:32.640
<v Speaker 1>of a motor where it does not make sense to

0:36:32.760 --> 0:36:36.359
<v Speaker 1>spend the fixed cost to tool and die a part

0:36:36.400 --> 0:36:38.239
<v Speaker 1>where you're not gonna make ten thousand or a hundred

0:36:38.239 --> 0:36:40.319
<v Speaker 1>thousand or a million of them. You just need one

0:36:40.400 --> 0:36:42.400
<v Speaker 1>or two of these parts. So I think that that

0:36:42.600 --> 0:36:44.080
<v Speaker 1>is going to be a big trend, and particularly if

0:36:44.120 --> 0:36:45.759
<v Speaker 1>you look at a company like Desktop Metal is a

0:36:45.800 --> 0:36:49.880
<v Speaker 1>Boston based company. It has grown very significantly, got BMW

0:36:50.080 --> 0:36:54.040
<v Speaker 1>and g E and and uh Saudi Aramco and whole

0:36:54.120 --> 0:36:57.680
<v Speaker 1>Slive Strategics that are investors alongside us. But the other

0:36:57.760 --> 0:37:00.400
<v Speaker 1>piece of this is wait a second, you said sodium

0:37:00.440 --> 0:37:03.880
<v Speaker 1>ram comes on interrupt. So what you're that you just

0:37:04.000 --> 0:37:06.600
<v Speaker 1>made me think of is you have some a crew

0:37:06.800 --> 0:37:10.480
<v Speaker 1>out at a offshore oil rig that needs and something

0:37:10.600 --> 0:37:13.680
<v Speaker 1>breaks and to get something flown out to them could

0:37:13.719 --> 0:37:16.000
<v Speaker 1>take a week and they lose a week of production,

0:37:16.200 --> 0:37:19.520
<v Speaker 1>or they have a machine, they manufacture the part and

0:37:19.560 --> 0:37:21.600
<v Speaker 1>they're down for four hours and that's it. Correct. Now,

0:37:21.600 --> 0:37:23.000
<v Speaker 1>maybe it's not four hours, maybe it's a day and

0:37:23.040 --> 0:37:27.000
<v Speaker 1>a half, but but yes, because the the installation phase

0:37:27.280 --> 0:37:29.279
<v Speaker 1>where you had a bunch of these printers there that

0:37:29.440 --> 0:37:32.160
<v Speaker 1>we're doing plastic, there's no way that an industrial company

0:37:32.239 --> 0:37:33.640
<v Speaker 1>is gonna be able to use that. Now, when you

0:37:33.719 --> 0:37:37.600
<v Speaker 1>have the sophisticated laser centering metal three D printers, it's real,

0:37:37.800 --> 0:37:40.680
<v Speaker 1>it's real pieces, it's real technology for real applications. So

0:37:40.960 --> 0:37:42.920
<v Speaker 1>that's one. And you're seeing this in jeff In in

0:37:43.400 --> 0:37:46.360
<v Speaker 1>jet engines, in automotive, you are seeing it. If you

0:37:46.440 --> 0:37:49.799
<v Speaker 1>get a knee implant, if you get a hearing aid,

0:37:50.920 --> 0:37:55.120
<v Speaker 1>it is a good chance over that that is three

0:37:55.200 --> 0:37:58.360
<v Speaker 1>D printed product. Now, this is not a biological product.

0:37:58.480 --> 0:38:01.120
<v Speaker 1>This is still some form of play sticks and or no,

0:38:01.280 --> 0:38:03.320
<v Speaker 1>it's it's it could be titanium for your knee. And

0:38:03.600 --> 0:38:05.560
<v Speaker 1>what I mean by by it's not a it's not

0:38:05.600 --> 0:38:09.799
<v Speaker 1>an organic product, a metal or plastic. So um, how

0:38:09.920 --> 0:38:12.200
<v Speaker 1>far off is the Hey and need a new aotic

0:38:12.280 --> 0:38:14.600
<v Speaker 1>card valve? And I don't want one from a cow.

0:38:14.760 --> 0:38:17.560
<v Speaker 1>Almost all of this stuff is still structural. When you

0:38:17.640 --> 0:38:20.120
<v Speaker 1>start thinking about the other component, which is function, you're

0:38:20.200 --> 0:38:22.680
<v Speaker 1>really far off. There's a guy, I think wake Forest

0:38:22.719 --> 0:38:25.640
<v Speaker 1>Tony Atala who's doing three D printing of organs. Now

0:38:25.719 --> 0:38:28.800
<v Speaker 1>that's that's the sort of vision I'm thinking. Now. I

0:38:28.880 --> 0:38:31.600
<v Speaker 1>think the best need to kidney print. They can't do kidney,

0:38:31.640 --> 0:38:33.359
<v Speaker 1>but the best that they've done is a bladder because

0:38:33.400 --> 0:38:37.360
<v Speaker 1>it's basically just structural right, it's hold old fluid. So

0:38:37.520 --> 0:38:40.040
<v Speaker 1>in other words, it doesn't have the mechanical functions. Even

0:38:40.080 --> 0:38:43.400
<v Speaker 1>if you're working with stem cells, you can't maybe in

0:38:43.440 --> 0:38:45.600
<v Speaker 1>a lab, but today, like being honest as an investor,

0:38:45.680 --> 0:38:47.719
<v Speaker 1>you we are far far away from being able to

0:38:47.760 --> 0:38:51.640
<v Speaker 1>introduce structure into that alright, So so maybe years, a

0:38:51.719 --> 0:38:53.839
<v Speaker 1>hundred of years. I think it's possible. I would say

0:38:53.920 --> 0:38:57.080
<v Speaker 1>high probability. In an hundred years, I think it's more likely.

0:38:57.160 --> 0:38:59.000
<v Speaker 1>Rather than printing it, we're probably going to harvest them.

0:38:59.040 --> 0:39:00.880
<v Speaker 1>We're gonna grow them, and that approp I'm not. We're

0:39:00.880 --> 0:39:02.640
<v Speaker 1>going to grow them inside of animals. Now, there's gonna

0:39:02.640 --> 0:39:04.120
<v Speaker 1>be ethics about that. But today if you want to

0:39:04.360 --> 0:39:06.800
<v Speaker 1>no ethics about growing kidneys in front side of animals,

0:39:07.040 --> 0:39:11.000
<v Speaker 1>if you wanted to take it from yes, but as

0:39:12.120 --> 0:39:15.240
<v Speaker 1>for for a pig or or who are very similar

0:39:15.280 --> 0:39:18.360
<v Speaker 1>biologically to humans or or a chimp, it's a nicer

0:39:18.480 --> 0:39:25.439
<v Speaker 1>life for them than they becoming bacon. Yes, but it's

0:39:25.520 --> 0:39:29.520
<v Speaker 1>a there's ethical debate. Okay, thanks, take take let's take

0:39:29.560 --> 0:39:31.680
<v Speaker 1>care of that ethical debate. You're gonna save millions and

0:39:31.760 --> 0:39:34.960
<v Speaker 1>millions of lives and inconvenience a few chimps. How is

0:39:35.040 --> 0:39:36.920
<v Speaker 1>that debate going to go much further than that? I

0:39:37.440 --> 0:39:40.239
<v Speaker 1>think that if you can, if you can appeal to

0:39:40.360 --> 0:39:45.120
<v Speaker 1>the default morality of are you reducing suffering, then you

0:39:45.239 --> 0:39:47.239
<v Speaker 1>have an entire camp with people that increasingly and this

0:39:47.360 --> 0:39:50.759
<v Speaker 1>is this is observable. It's not speculative that more and

0:39:50.840 --> 0:39:53.840
<v Speaker 1>more people are embracing animal rights and saying, you know what,

0:39:54.400 --> 0:39:58.600
<v Speaker 1>it's sentient, it's suffering. Look, there's nothing more I love. Actually,

0:39:58.640 --> 0:40:00.439
<v Speaker 1>this is not fully true. Nothing more I than bacon.

0:40:00.640 --> 0:40:02.640
<v Speaker 1>The only thing I love more than bacon is peanut

0:40:02.680 --> 0:40:04.400
<v Speaker 1>butter and bacon, which I know sounds disgusting, but it

0:40:04.480 --> 0:40:06.640
<v Speaker 1>does sound disgusted, but it is amazing. Okay, So I

0:40:06.680 --> 0:40:09.480
<v Speaker 1>have a friend who's a vegan who eats bacon, and

0:40:09.520 --> 0:40:11.319
<v Speaker 1>I'm like, you know this comes from a pig, right,

0:40:11.640 --> 0:40:14.920
<v Speaker 1>And the answer is, but it is delicious, so so.

0:40:15.160 --> 0:40:18.000
<v Speaker 1>And by the way, pigs are actually much smarter than

0:40:18.120 --> 0:40:21.000
<v Speaker 1>doors or horses, and that hasn't slowed down the human

0:40:21.080 --> 0:40:24.400
<v Speaker 1>onslaught of pork. But doesn't make it right. So okay,

0:40:24.480 --> 0:40:27.880
<v Speaker 1>but you can you can make the we're digressing, but

0:40:28.440 --> 0:40:32.520
<v Speaker 1>the ethical argument that it's wrong. We can intellectually agree

0:40:32.560 --> 0:40:35.640
<v Speaker 1>with it, but in the marketplace that is a giant

0:40:35.840 --> 0:40:39.640
<v Speaker 1>losing argument, is my point today. And you are seeing

0:40:39.880 --> 0:40:42.279
<v Speaker 1>both as evidence. If you look back in the arc

0:40:42.360 --> 0:40:45.200
<v Speaker 1>of history, I think that what we're seeing with Beyond Meat,

0:40:45.239 --> 0:40:48.320
<v Speaker 1>you will see you know this uh til ray like phenomenon.

0:40:48.400 --> 0:40:49.880
<v Speaker 1>I think this is a company that ends up. You know,

0:40:50.000 --> 0:40:53.839
<v Speaker 1>that's we value eight but after it ran up, after

0:40:53.960 --> 0:40:56.120
<v Speaker 1>run up five et. But the market is saying something

0:40:56.239 --> 0:40:57.759
<v Speaker 1>right now, maybe you've got algois and maybe you've got

0:40:57.800 --> 0:41:00.040
<v Speaker 1>momentum investors and maybe got people, but there's demand and

0:41:00.200 --> 0:41:02.480
<v Speaker 1>an interest in this, and it's it's if you believe

0:41:02.560 --> 0:41:04.960
<v Speaker 1>that markets tell you something. Right. Markets are there to

0:41:05.000 --> 0:41:07.080
<v Speaker 1>serve you, not to tell you. But but if if

0:41:07.160 --> 0:41:10.000
<v Speaker 1>you believe that there's something in the ascendency of Beyond

0:41:10.080 --> 0:41:13.800
<v Speaker 1>Meat a single in the same way that the ascendency

0:41:13.800 --> 0:41:15.640
<v Speaker 1>of global crossing and these other things, going back to

0:41:15.719 --> 0:41:18.600
<v Speaker 1>that pridor the ascendency of these things tells you that

0:41:18.680 --> 0:41:20.800
<v Speaker 1>there's something there. And I do think that we're a

0:41:20.920 --> 0:41:22.680
<v Speaker 1>rounding air in the world of food. Let's you and

0:41:22.760 --> 0:41:24.560
<v Speaker 1>I make a bet right now, when is the first

0:41:24.680 --> 0:41:29.240
<v Speaker 1>year in our lifetime, when the annual pork consumption short

0:41:29.280 --> 0:41:32.959
<v Speaker 1>of a worldwide you know, disease phenomena like bovine won't

0:41:32.960 --> 0:41:35.440
<v Speaker 1>won't happen all right? How about on a per capita basis?

0:41:35.520 --> 0:41:37.520
<v Speaker 1>What about per capita even it won't happen in our

0:41:37.520 --> 0:41:39.600
<v Speaker 1>all Okay, So now that we've taken care of the

0:41:39.640 --> 0:41:42.680
<v Speaker 1>ethical issue, which is an interesting debate with no real

0:41:42.840 --> 0:41:46.960
<v Speaker 1>market thing um, which brings us back to I don't

0:41:47.000 --> 0:41:49.040
<v Speaker 1>even know how we got three D printing to three

0:41:49.120 --> 0:41:53.160
<v Speaker 1>D printing. So if it's not if it's not the organs, um,

0:41:55.040 --> 0:41:56.960
<v Speaker 1>it's not the organs, But it is the parts inside

0:41:57.000 --> 0:41:58.759
<v Speaker 1>the body. It is the parts inside the aircraft, it

0:41:58.880 --> 0:42:01.080
<v Speaker 1>is the parts inside the ship. Where the and it's

0:42:01.120 --> 0:42:04.400
<v Speaker 1>really interesting because the you change the economics of manufacturing,

0:42:04.440 --> 0:42:06.719
<v Speaker 1>it has geopolitical implications. If you're just shipping a cat

0:42:06.800 --> 0:42:09.600
<v Speaker 1>file instead of having spare parts in inventory sitting in

0:42:09.640 --> 0:42:12.200
<v Speaker 1>a port of which there are trillions of dollars sitting imports,

0:42:13.000 --> 0:42:15.839
<v Speaker 1>there's interesting implications. Same thing you're saving on storage, you're

0:42:15.840 --> 0:42:19.120
<v Speaker 1>saving on transportation. It's a greener approach for sure, Even

0:42:19.200 --> 0:42:23.000
<v Speaker 1>whatever energy consumed by the printer, it's better than manufacturing

0:42:23.040 --> 0:42:25.879
<v Speaker 1>and storing and shipping or whatever. It sounds like it's

0:42:26.239 --> 0:42:29.440
<v Speaker 1>a no brainer if it if it can successfully penetrate

0:42:29.560 --> 0:42:31.279
<v Speaker 1>that mark, I think the no brainers gonna come in

0:42:31.320 --> 0:42:33.719
<v Speaker 1>it's economics. So we have another company here in New

0:42:33.800 --> 0:42:35.680
<v Speaker 1>York and half the operations are here in New York,

0:42:35.680 --> 0:42:38.480
<v Speaker 1>half are in ninehoven In in the Netherlands. They have

0:42:38.719 --> 0:42:42.800
<v Speaker 1>made twelve million unique parts, over a million users and

0:42:42.880 --> 0:42:46.960
<v Speaker 1>customers hundred thirty countries. They'll print two million parts this year,

0:42:47.120 --> 0:42:51.600
<v Speaker 1>unique parts, individual unique things. If you are a small

0:42:51.680 --> 0:42:54.759
<v Speaker 1>business and you have a room that's not dissimilar from

0:42:54.760 --> 0:42:56.320
<v Speaker 1>the room that we're sitting in, you know, matter a

0:42:56.360 --> 0:42:59.320
<v Speaker 1>few hundred square feet or whatever it is, that's filled

0:42:59.360 --> 0:43:02.040
<v Speaker 1>with inventory, and you think about the cash conversion, sure,

0:43:02.320 --> 0:43:03.759
<v Speaker 1>and how much is locked up in that. If you

0:43:03.840 --> 0:43:05.920
<v Speaker 1>can free that by instead of having the inventories and

0:43:06.000 --> 0:43:08.440
<v Speaker 1>just uploading that as a CAD file and printing it

0:43:08.520 --> 0:43:12.120
<v Speaker 1>and shipping it on demand, it will unlock capital. Anytime

0:43:12.120 --> 0:43:15.080
<v Speaker 1>you unlock capital, I think you create value sure for sure.

0:43:15.440 --> 0:43:17.480
<v Speaker 1>So so let's talk about some of the other things,

0:43:17.680 --> 0:43:20.640
<v Speaker 1>some of the other areas that you focus on. And

0:43:20.760 --> 0:43:25.120
<v Speaker 1>I have not mentioned um the company that you one

0:43:25.160 --> 0:43:29.200
<v Speaker 1>of your early investments that was in nuclear waste for mediation. Um,

0:43:29.600 --> 0:43:31.520
<v Speaker 1>let's talk about that, and then I'll have to ask

0:43:31.560 --> 0:43:34.120
<v Speaker 1>you about thorium. Tell us about what you guys did

0:43:34.200 --> 0:43:37.879
<v Speaker 1>with nuclear waste remediation at a time when everybody else

0:43:37.960 --> 0:43:40.200
<v Speaker 1>was looking at green alternate event. So, so if you

0:43:40.360 --> 0:43:42.040
<v Speaker 1>listen to and there were very smart guys and very

0:43:42.040 --> 0:43:44.839
<v Speaker 1>successful older venture capitalists, but John Door and Venode coastle

0:43:44.920 --> 0:43:46.680
<v Speaker 1>are they with the legends, and they were writing the

0:43:46.719 --> 0:43:48.719
<v Speaker 1>op eds and they were crying on ted stages, and

0:43:48.760 --> 0:43:50.640
<v Speaker 1>they were really promoting the idea with Al Gore and

0:43:50.680 --> 0:43:52.440
<v Speaker 1>others that the most important thing you could find were

0:43:52.480 --> 0:43:55.960
<v Speaker 1>solar wind, bile fields, ethanol battery electric cars. Okay, the

0:43:56.040 --> 0:43:58.160
<v Speaker 1>problem was everybody agreed with that. And the number one

0:43:58.160 --> 0:44:01.359
<v Speaker 1>thing that is predictive of returns is not whether there's

0:44:01.360 --> 0:44:03.200
<v Speaker 1>a hockey stick growth curve that Gartner tells you this

0:44:03.280 --> 0:44:04.680
<v Speaker 1>is going to be a big industry, but how much

0:44:04.719 --> 0:44:07.279
<v Speaker 1>money is going into the industry. More money that floods in,

0:44:07.600 --> 0:44:09.480
<v Speaker 1>the higher the price of the assets, it'll be great

0:44:09.480 --> 0:44:12.560
<v Speaker 1>for consumers, lower returns. So we said, where is nobody looking?

0:44:12.760 --> 0:44:13.800
<v Speaker 1>And that's the thing that I love to do. I

0:44:13.840 --> 0:44:16.040
<v Speaker 1>love to understand where is the consensus and where's the

0:44:16.120 --> 0:44:18.200
<v Speaker 1>varying perception. What's the thing that nobody else is looking at.

0:44:18.560 --> 0:44:21.359
<v Speaker 1>Nobody was talking about nuclear. You watched Al Gore's movie

0:44:21.400 --> 0:44:23.840
<v Speaker 1>back then, Inconvenient Truth, doesn't even mention the word nuclear

0:44:23.920 --> 0:44:26.719
<v Speaker 1>because it was taboo. It was politically taboo. So we

0:44:26.800 --> 0:44:28.839
<v Speaker 1>looked at nuclear. We spent a year and a half

0:44:29.600 --> 0:44:31.560
<v Speaker 1>looking at every part of the fuel cycle. We started

0:44:31.600 --> 0:44:34.120
<v Speaker 1>with the uranium miners. Maybe there's something there. Turns out

0:44:34.120 --> 0:44:36.880
<v Speaker 1>there all hucksters and fraudsters in New Mexico, Nevada, so

0:44:37.160 --> 0:44:39.200
<v Speaker 1>the Coney Island and me said, you know what, stay away.

0:44:39.360 --> 0:44:41.880
<v Speaker 1>You and I have had the Mark Twain quote. But

0:44:42.080 --> 0:44:45.239
<v Speaker 1>my favorite discussion, but the old time grid is Mark

0:44:45.280 --> 0:44:47.759
<v Speaker 1>Twain quote is what is a mine? It's a hole

0:44:47.800 --> 0:44:50.400
<v Speaker 1>in the ground with a liar standing there, exactly exactly. So,

0:44:50.520 --> 0:44:51.839
<v Speaker 1>so that was the same thing, right. And and by

0:44:51.880 --> 0:44:54.799
<v Speaker 1>the way, uranium mining, if if, if it took off.

0:44:55.280 --> 0:44:58.399
<v Speaker 1>Uranium itself was such a small portion of the cost

0:44:58.480 --> 0:45:00.600
<v Speaker 1>of operating a nuclear plan. It was relative in consequential,

0:45:00.640 --> 0:45:02.840
<v Speaker 1>whereas the marginal cost of nat gas and oil it

0:45:02.920 --> 0:45:05.280
<v Speaker 1>was primarily driven by the underlying material to the commodity.

0:45:05.880 --> 0:45:07.880
<v Speaker 1>So we we said no to irany minors. Then you

0:45:07.920 --> 0:45:10.600
<v Speaker 1>looked at modular reactors. This is a good idea smaller

0:45:10.800 --> 0:45:14.040
<v Speaker 1>reactors that could be moved easily in and and built,

0:45:14.080 --> 0:45:16.520
<v Speaker 1>you know, uh, incrementally. So instead of building a billion

0:45:16.560 --> 0:45:20.160
<v Speaker 1>dollar giga watt you know, a power plant for to

0:45:20.200 --> 0:45:22.520
<v Speaker 1>serve a million people, you will build an array of

0:45:22.600 --> 0:45:25.160
<v Speaker 1>say thirty thirty megawatt plants, each one maybe cost you

0:45:25.160 --> 0:45:27.160
<v Speaker 1>a hundred million dollars, and you build it over time. Now,

0:45:27.480 --> 0:45:29.400
<v Speaker 1>the problem with that is is really for the domain

0:45:29.760 --> 0:45:34.680
<v Speaker 1>of very long uh tenure investors, maybe sovereigns, billionaires, people

0:45:34.680 --> 0:45:37.640
<v Speaker 1>that could wait five years not for the technology to develop,

0:45:37.880 --> 0:45:41.000
<v Speaker 1>but because the regulatory Okay, so we said no to that.

0:45:41.320 --> 0:45:42.640
<v Speaker 1>But then you look around and you say, GE's the

0:45:42.640 --> 0:45:45.200
<v Speaker 1>biggest unsolved problem with nuclear is not the political it's

0:45:45.280 --> 0:45:47.120
<v Speaker 1>it's what do you do with the waste it's disposed?

0:45:47.400 --> 0:45:49.440
<v Speaker 1>And so you've got, you know, this whole push for

0:45:49.560 --> 0:45:52.680
<v Speaker 1>Yucca Mountain, which would be a geological repository. We have

0:45:52.760 --> 0:45:55.440
<v Speaker 1>spent tens of billions of dollars on Yucca Mountain. Do

0:45:55.480 --> 0:45:57.680
<v Speaker 1>you know how much waste has gone in zero So

0:45:57.960 --> 0:45:59.560
<v Speaker 1>we looked at that and said, okay, that's sort of interesting. Now,

0:45:59.600 --> 0:46:01.200
<v Speaker 1>what about the the way that you store nuclear waste

0:46:01.200 --> 0:46:03.120
<v Speaker 1>on site? And it turns out that there are basically

0:46:03.200 --> 0:46:06.280
<v Speaker 1>two companies. One that makes a vertical cask like almost

0:46:06.440 --> 0:46:08.399
<v Speaker 1>a casket to put the rods, and one that makes

0:46:08.400 --> 0:46:09.960
<v Speaker 1>a horizonto one, so you can make a vertical water,

0:46:10.000 --> 0:46:11.400
<v Speaker 1>you can make a horizon on one. But that was

0:46:11.440 --> 0:46:14.200
<v Speaker 1>basically some innovation, right, that's the innovation. Now what happens

0:46:14.280 --> 0:46:17.520
<v Speaker 1>is these rods inside the reactor, you know, they go

0:46:17.560 --> 0:46:19.960
<v Speaker 1>through a nuclear chain reaction, They heat the water, the

0:46:20.040 --> 0:46:22.080
<v Speaker 1>water turns the turbines, that's hod of nuclear power. Then

0:46:22.200 --> 0:46:23.960
<v Speaker 1>when you're cooling them, they sit in a pool of

0:46:24.000 --> 0:46:26.040
<v Speaker 1>water for five years and then they're pulled out and

0:46:26.040 --> 0:46:28.239
<v Speaker 1>they put into these little caskets five years just to

0:46:28.280 --> 0:46:32.640
<v Speaker 1>cool down. No, no additional reaction, that's just a very

0:46:32.719 --> 0:46:35.680
<v Speaker 1>low level background. Water is a natural neutron observer. And

0:46:35.880 --> 0:46:38.440
<v Speaker 1>but but there's all this low level waste that is

0:46:38.480 --> 0:46:42.800
<v Speaker 1>sitting there. So everything from worker dose radiation to parts

0:46:42.880 --> 0:46:44.800
<v Speaker 1>and and and there's a big market for that. But

0:46:44.920 --> 0:46:46.520
<v Speaker 1>the bigger market and this was the thing that really

0:46:46.520 --> 0:46:48.759
<v Speaker 1>got us. If you actually sit and I promise you.

0:46:48.880 --> 0:46:51.000
<v Speaker 1>This is not scintillating reading, but it was insightful because

0:46:51.040 --> 0:46:52.560
<v Speaker 1>nobody was looking at it. If you read the d

0:46:52.680 --> 0:46:57.080
<v Speaker 1>OE budget billion dollars a year, six billion of it

0:46:57.680 --> 0:47:00.600
<v Speaker 1>is spent a nuclear waste clean up, you have you

0:47:00.640 --> 0:47:03.080
<v Speaker 1>read the Fifth Risk by Michael Lewis. Yes, the whole

0:47:03.440 --> 0:47:06.239
<v Speaker 1>that last third of the book is all about what

0:47:06.440 --> 0:47:08.640
<v Speaker 1>the people think the Department of Energy is about energy.

0:47:08.719 --> 0:47:12.600
<v Speaker 1>It's not. It's about nuclear nuclear weapon clean up and

0:47:12.840 --> 0:47:15.279
<v Speaker 1>some nuclear energy. Now that that book was written well

0:47:15.360 --> 0:47:19.960
<v Speaker 1>after this. So this is two thousand. Uh. Hanford, Savannah River,

0:47:20.080 --> 0:47:23.759
<v Speaker 1>Idaho National Vannah River is giant, huge people. People are

0:47:23.840 --> 0:47:26.600
<v Speaker 1>unaware of how there is an entire city in Hanford,

0:47:26.680 --> 0:47:30.320
<v Speaker 1>Washington to Washington. You fly in there, there's an airport

0:47:30.400 --> 0:47:32.719
<v Speaker 1>dedicated to this one bar. It's called the Three Eyed

0:47:32.800 --> 0:47:35.480
<v Speaker 1>Fish Bar, like out of the Simpsons, and and the

0:47:35.760 --> 0:47:39.320
<v Speaker 1>entire thing is a community and a complex dedicated to

0:47:39.480 --> 0:47:41.160
<v Speaker 1>nuclear waste clean up. Now, the people that are making

0:47:41.160 --> 0:47:42.520
<v Speaker 1>all the money, and when I tell you they make money,

0:47:42.520 --> 0:47:44.839
<v Speaker 1>it's billions of dollars a year basically shoveling waste from

0:47:44.840 --> 0:47:46.279
<v Speaker 1>one side to the other. And this will be going

0:47:46.320 --> 0:47:48.960
<v Speaker 1>on for decades it's U r S, it's c H

0:47:49.040 --> 0:47:51.440
<v Speaker 1>two M hill, it's floor, it's the big engineering primes.

0:47:51.680 --> 0:47:53.160
<v Speaker 1>So we looked at this and said, not only do

0:47:53.200 --> 0:47:54.239
<v Speaker 1>you have this in the U S, but you have

0:47:54.320 --> 0:47:56.120
<v Speaker 1>this in the UK with a site called Cella Field,

0:47:56.160 --> 0:47:58.480
<v Speaker 1>you have this in France with log Is there an

0:47:58.480 --> 0:48:01.160
<v Speaker 1>opportunity for a high tech solution that could win contracts

0:48:01.200 --> 0:48:03.160
<v Speaker 1>by doing this faster and cheaper. We looked around. We

0:48:03.200 --> 0:48:05.800
<v Speaker 1>couldn't find anything nobody else's and that nobody was in

0:48:05.840 --> 0:48:07.719
<v Speaker 1>the space. And I gotta tell you, going around for

0:48:07.920 --> 0:48:10.719
<v Speaker 1>a year to nuclear waste conferences, I was certainly the

0:48:10.800 --> 0:48:13.600
<v Speaker 1>only person under fifty years old, uh, and I was

0:48:13.640 --> 0:48:15.960
<v Speaker 1>certainly the only venture capitalists there. So we go and

0:48:16.040 --> 0:48:17.840
<v Speaker 1>we find the best technologists that we can, and we

0:48:17.880 --> 0:48:19.400
<v Speaker 1>find the best people that were under the age of

0:48:19.440 --> 0:48:22.719
<v Speaker 1>sixty because they weren't that entrepreneurial in this space. And

0:48:23.040 --> 0:48:24.479
<v Speaker 1>to be honest, we found people that were like fifty

0:48:24.480 --> 0:48:26.600
<v Speaker 1>eight or fifty nine, and we end up blocking him.

0:48:26.600 --> 0:48:28.880
<v Speaker 1>The best technologies, which were a combination of material science

0:48:28.880 --> 0:48:32.000
<v Speaker 1>and chemistry and physics, materials that could grab the worst

0:48:32.120 --> 0:48:35.400
<v Speaker 1>radio activelopments like caesium and strawntium acium, uranium, plutonium. And

0:48:35.480 --> 0:48:38.160
<v Speaker 1>then we had a second technology called vitrification, which in

0:48:38.239 --> 0:48:40.640
<v Speaker 1>Layman's terms is glassmaking. Take the stuff, lock it up

0:48:40.640 --> 0:48:42.920
<v Speaker 1>into a glassmate, putting it in in silicon or some

0:48:43.040 --> 0:48:45.560
<v Speaker 1>other silicate is glass. And but you're heating at about

0:48:45.600 --> 0:48:49.080
<v Speaker 1>seventred degrees, it turns into this molten form. It can't leak,

0:48:49.120 --> 0:48:53.000
<v Speaker 1>re leach into the radio acci radious, not cranking. Haven't

0:48:53.000 --> 0:48:55.279
<v Speaker 1>transmutated it. You know that that doesn't really exist. But

0:48:55.560 --> 0:48:59.200
<v Speaker 1>but but in gold and we know that does exactly.

0:48:59.239 --> 0:49:01.000
<v Speaker 1>And then and then oh, start a mining company and

0:49:01.080 --> 0:49:04.640
<v Speaker 1>taking public so with a liar exactly. So so we

0:49:04.920 --> 0:49:07.320
<v Speaker 1>we ended up starting a company. We named it Curryon

0:49:07.560 --> 0:49:10.400
<v Speaker 1>after Madame Curie, and in part because with a K

0:49:10.600 --> 0:49:12.480
<v Speaker 1>to be cute, and and uh in part because I

0:49:12.600 --> 0:49:14.520
<v Speaker 1>read the article in the about the Department of Energy

0:49:14.719 --> 0:49:16.640
<v Speaker 1>and it said that there's billions and billions of curries,

0:49:16.640 --> 0:49:18.560
<v Speaker 1>which is the measure of radiation. And that was the inspiration.

0:49:18.719 --> 0:49:21.479
<v Speaker 1>So we started the company and with very little money,

0:49:21.600 --> 0:49:24.080
<v Speaker 1>and uh, I had two of our LPs who were

0:49:24.239 --> 0:49:26.399
<v Speaker 1>prominent hedge fund managers and Austin. We put a total

0:49:26.400 --> 0:49:27.880
<v Speaker 1>of three million dollars into it. And I put a

0:49:27.920 --> 0:49:29.480
<v Speaker 1>million and a half in from our fund at the time,

0:49:29.840 --> 0:49:32.719
<v Speaker 1>and we owned thirty five percent of the business. We

0:49:32.840 --> 0:49:35.040
<v Speaker 1>stake these guys. They go off to work and the

0:49:35.080 --> 0:49:37.319
<v Speaker 1>first year they did about a million revenue. Second year,

0:49:37.719 --> 0:49:40.000
<v Speaker 1>black Swan, you had a negative event, which was the

0:49:40.000 --> 0:49:42.719
<v Speaker 1>seismic event that led to the earthquake that led to

0:49:42.719 --> 0:49:45.120
<v Speaker 1>the tsunami that led to the Fukushiman disaster. And lo

0:49:45.239 --> 0:49:47.400
<v Speaker 1>and behold, the only company picked in the US for

0:49:47.480 --> 0:49:49.759
<v Speaker 1>this cleanup was this little company, Kuran. So we went

0:49:49.760 --> 0:49:52.239
<v Speaker 1>from a million dollars in revenue to forty then eight

0:49:54.200 --> 0:49:56.600
<v Speaker 1>still working there now it's still still are and and

0:49:56.680 --> 0:49:59.200
<v Speaker 1>they actually sold to Veolia, which was a French giant.

0:49:59.239 --> 0:50:01.440
<v Speaker 1>We sold for four million dollars, going to third of

0:50:01.440 --> 0:50:03.759
<v Speaker 1>the business. We made an excess of forty times our

0:50:04.000 --> 0:50:06.239
<v Speaker 1>early money where suring the entirety of that fund. And

0:50:06.480 --> 0:50:08.799
<v Speaker 1>it was gratifying because we like to sound says as

0:50:08.920 --> 0:50:11.839
<v Speaker 1>as santimonious as it sounds, that we like to invest

0:50:11.880 --> 0:50:14.640
<v Speaker 1>in matter that matters. It was meaningful because you actually

0:50:14.680 --> 0:50:17.120
<v Speaker 1>did something to reduce all the radiation from this disaster site.

0:50:17.400 --> 0:50:19.080
<v Speaker 1>And we got to make our investors a lot of money.

0:50:19.360 --> 0:50:21.759
<v Speaker 1>We have been speaking with Josh Wolf. He is the

0:50:21.840 --> 0:50:25.400
<v Speaker 1>co founder and managing partner of Lux Capital. If you

0:50:25.520 --> 0:50:27.560
<v Speaker 1>enjoy this conversation, we'll be sure and come back for

0:50:27.640 --> 0:50:30.480
<v Speaker 1>the podcast extras, where we keep the tape rolling and

0:50:30.520 --> 0:50:35.000
<v Speaker 1>continue discussing all things technology and venture related. You can

0:50:35.080 --> 0:50:40.240
<v Speaker 1>find that at iTunes, Overcast, Spotify, Google Podcast, Bloomberg, wherever

0:50:40.320 --> 0:50:44.000
<v Speaker 1>you're finner. Podcasts are sold. We love your comments, feedback

0:50:44.040 --> 0:50:48.040
<v Speaker 1>and suggestions right to us at m IB podcast at

0:50:48.080 --> 0:50:51.680
<v Speaker 1>Bloomberg dot net. Check out my weekly column on Bloomberg

0:50:51.760 --> 0:50:55.040
<v Speaker 1>dot com. Sign up from my daily reading list at

0:50:55.120 --> 0:50:58.120
<v Speaker 1>Rid Halts dot com. Follow me on Twitter at Rid Halts.

0:50:58.400 --> 0:51:01.520
<v Speaker 1>I'm Barry Hults. You're listening to Masters in Business on

0:51:01.640 --> 0:51:07.239
<v Speaker 1>Bloomberg Radio. Welcome to the podcast, Josh. Thank you so

0:51:07.360 --> 0:51:09.360
<v Speaker 1>much for doing this. I've been looking forward to this

0:51:09.920 --> 0:51:12.640
<v Speaker 1>for a while, UM, since you and I sat at

0:51:12.719 --> 0:51:16.359
<v Speaker 1>what was a fascinating dinner UM and I hope something

0:51:16.440 --> 0:51:20.560
<v Speaker 1>comes out of it. Uh, really interesting idea that any

0:51:20.680 --> 0:51:23.880
<v Speaker 1>Duke is working on. You mentioned my friend Michael Mobison

0:51:24.400 --> 0:51:29.080
<v Speaker 1>was also there. It was really a murderers rogue of people.

0:51:29.120 --> 0:51:32.359
<v Speaker 1>There are quite quite a gallery of intellect. I don't

0:51:32.400 --> 0:51:34.399
<v Speaker 1>know what's going to come of it? But I thought

0:51:34.400 --> 0:51:37.239
<v Speaker 1>it was fascinating and I thought what you discussed was

0:51:37.320 --> 0:51:40.239
<v Speaker 1>really interesting. I have no idea what it was, but

0:51:40.320 --> 0:51:42.719
<v Speaker 1>it led me to say I should have him come.

0:51:42.800 --> 0:51:46.040
<v Speaker 1>Here's an interesting guy to sit and chat with. So

0:51:46.239 --> 0:51:50.840
<v Speaker 1>what do you recall what your big idea was in that? That? Meaning?

0:51:51.080 --> 0:51:53.320
<v Speaker 1>You know what I actually think at least one of

0:51:53.400 --> 0:51:56.080
<v Speaker 1>the ideas was as they were thinking about how do

0:51:56.200 --> 0:51:59.919
<v Speaker 1>you get more broad distribution about decision making for young people,

0:52:00.239 --> 0:52:02.960
<v Speaker 1>how to train people to make better decisions and while

0:52:03.000 --> 0:52:05.279
<v Speaker 1>they're in the junior high school level, and and and

0:52:06.760 --> 0:52:08.680
<v Speaker 1>the first principles approach that you would want to take

0:52:08.680 --> 0:52:10.239
<v Speaker 1>to this is, well, how do you reach those people?

0:52:10.719 --> 0:52:13.200
<v Speaker 1>And the old school thinking is let's put it into

0:52:13.239 --> 0:52:15.560
<v Speaker 1>the curriculum of the schools. And every time that you've

0:52:15.600 --> 0:52:17.480
<v Speaker 1>tried that, you know it's typically failed. And so you know,

0:52:17.680 --> 0:52:19.840
<v Speaker 1>go where these people are. So if if you've got

0:52:19.880 --> 0:52:21.600
<v Speaker 1>social kid, yeah, or that you know, if that you've

0:52:21.600 --> 0:52:23.880
<v Speaker 1>got young kids it's on roadblocks, you know, have gamify

0:52:24.000 --> 0:52:25.880
<v Speaker 1>this so that young people can be on roadblocks and

0:52:25.960 --> 0:52:28.200
<v Speaker 1>you know, playing decision making games and looking at things

0:52:28.239 --> 0:52:30.440
<v Speaker 1>maybe even starting to learn to think of probabilities or

0:52:31.040 --> 0:52:35.160
<v Speaker 1>slightly older generation it's it's podcast, or it's uh, it's

0:52:35.840 --> 0:52:37.960
<v Speaker 1>this is this is now old school media. I used

0:52:37.960 --> 0:52:40.000
<v Speaker 1>to think this was so cutting edge. You're telling me

0:52:40.160 --> 0:52:42.880
<v Speaker 1>this is now old People that are listening here no voltron,

0:52:42.960 --> 0:52:45.839
<v Speaker 1>they know Caddy Shock, you know they younger, younger people

0:52:45.880 --> 0:52:48.960
<v Speaker 1>maybe not, that's uh. I've had a number of NBA

0:52:49.040 --> 0:52:53.440
<v Speaker 1>professors tell me they assigned m various episodes of this

0:52:53.600 --> 0:52:58.480
<v Speaker 1>is homework. So there's some right, it's it's content you have,

0:52:58.640 --> 0:53:00.880
<v Speaker 1>you have amazing access to amazing people. Why not, it's

0:53:00.960 --> 0:53:03.880
<v Speaker 1>it's quite it's quite insane. Talk about dumb luck. That

0:53:03.960 --> 0:53:06.799
<v Speaker 1>will have a longer conversation about that. At another time,

0:53:07.200 --> 0:53:11.320
<v Speaker 1>we were just talking about nuclear waste remediation, and I

0:53:11.440 --> 0:53:16.480
<v Speaker 1>have to ask you about the concept of thorium powered reactors.

0:53:16.560 --> 0:53:19.360
<v Speaker 1>I don't know how many years ago, this was a

0:53:19.560 --> 0:53:22.800
<v Speaker 1>huge article in Wired magazine if you were coll wired

0:53:23.360 --> 0:53:26.880
<v Speaker 1>um about all the advantages of thorium and how productive

0:53:26.920 --> 0:53:29.320
<v Speaker 1>it is and how low grade the waste is, and

0:53:29.520 --> 0:53:32.560
<v Speaker 1>yet nothing's ever seemed to happen with that. I'll give

0:53:32.600 --> 0:53:35.640
<v Speaker 1>you a probability in a timeframe, there's a fifty chance

0:53:35.680 --> 0:53:37.520
<v Speaker 1>that we see something in the next fifty years, and

0:53:38.040 --> 0:53:39.560
<v Speaker 1>a ten percent chance that you see something in the

0:53:39.640 --> 0:53:42.000
<v Speaker 1>next ten years, and if you do, over seventy percent

0:53:42.080 --> 0:53:46.120
<v Speaker 1>chance that comes from China. The Modi family has been

0:53:46.480 --> 0:53:48.600
<v Speaker 1>backers of an effort on the East Coast. I think

0:53:48.600 --> 0:53:50.480
<v Speaker 1>it was called thorium power. We looked at a bunch

0:53:50.480 --> 0:53:54.279
<v Speaker 1>of efforts. The problem is it is very long, very expensive,

0:53:54.440 --> 0:53:57.960
<v Speaker 1>regulatory fraud. It's just it's it's just gonna take too

0:53:58.040 --> 0:54:00.200
<v Speaker 1>too long. The virtues of thorium are great. You know,

0:54:00.480 --> 0:54:04.320
<v Speaker 1>it's cheap, cheaper, lower, probably cheaper than uranium or or

0:54:04.600 --> 0:54:08.040
<v Speaker 1>any of the other and lower. The biggest virtue of

0:54:08.120 --> 0:54:11.040
<v Speaker 1>it is you have less probability of proliferation because one

0:54:11.040 --> 0:54:15.280
<v Speaker 1>of the outputs of traditional nuclear is plutonium. No plutonium thorium,

0:54:15.360 --> 0:54:19.279
<v Speaker 1>which is really interesting. And um, let's talk about there's

0:54:19.280 --> 0:54:22.320
<v Speaker 1>a few text subjects we didn't get to. I have

0:54:22.480 --> 0:54:26.000
<v Speaker 1>to ask you about chrono biology. Yes, so let's talk

0:54:26.000 --> 0:54:28.600
<v Speaker 1>a little bit about And my understanding of this is, Hey,

0:54:28.680 --> 0:54:31.359
<v Speaker 1>we could take the RNA sequence and clip off the ends,

0:54:31.400 --> 0:54:35.440
<v Speaker 1>which tells people tells other cells when they're supposed to die,

0:54:35.880 --> 0:54:39.279
<v Speaker 1>and theoretically we have an infinite lifespan there. There's there's

0:54:39.320 --> 0:54:41.880
<v Speaker 1>many different dimensions of this idea of chrono biology, and

0:54:41.920 --> 0:54:44.439
<v Speaker 1>the biggest one is that different cells in your body

0:54:44.560 --> 0:54:47.240
<v Speaker 1>are different ages, and there are markers on those cells

0:54:47.320 --> 0:54:49.240
<v Speaker 1>that can tell how old something is. So the Prokinje

0:54:49.320 --> 0:54:51.560
<v Speaker 1>cells in your brain are probably twenty five years old,

0:54:51.719 --> 0:54:54.720
<v Speaker 1>oh mine much older than that. They feel it anyway.

0:54:54.840 --> 0:54:56.879
<v Speaker 1>The gut and skin cells you have are maybe days

0:54:57.239 --> 0:55:00.520
<v Speaker 1>at most weeks old. So different parts of your are

0:55:01.000 --> 0:55:04.520
<v Speaker 1>basically regenerating and growing and dying at different times. You're

0:55:04.560 --> 0:55:07.000
<v Speaker 1>not like there's not one Barry, right, You're made up

0:55:07.000 --> 0:55:08.719
<v Speaker 1>of lots of different things at different ages, and so

0:55:09.000 --> 0:55:11.279
<v Speaker 1>being able to do a body clock to understand those

0:55:11.320 --> 0:55:13.960
<v Speaker 1>different things is important. Second, it turns out, of course

0:55:14.000 --> 0:55:15.880
<v Speaker 1>we have circadian rhythms, right, you get tired at night,

0:55:15.920 --> 0:55:18.759
<v Speaker 1>You have different levels of hormones at different times of

0:55:18.800 --> 0:55:21.239
<v Speaker 1>the day. Different people might be night owls people might

0:55:21.280 --> 0:55:24.399
<v Speaker 1>be but there's something to that physiologically throughout the day.

0:55:24.520 --> 0:55:27.440
<v Speaker 1>The third is that there's now evidence and scientific papers

0:55:27.440 --> 0:55:29.279
<v Speaker 1>are coming out showing that if you give chemo at

0:55:29.320 --> 0:55:31.560
<v Speaker 1>certain times of the day to certain types of people,

0:55:31.760 --> 0:55:33.800
<v Speaker 1>that it might be more effective than others. Really, so

0:55:33.880 --> 0:55:36.520
<v Speaker 1>there's something in the body about when you're being reactivate.

0:55:36.640 --> 0:55:38.640
<v Speaker 1>Look you you, I'm sure have a time when you

0:55:38.760 --> 0:55:41.359
<v Speaker 1>feel that you are your most alert when caffeine works

0:55:41.400 --> 0:55:43.440
<v Speaker 1>on you, Whereas you might after lunch go into your

0:55:43.440 --> 0:55:45.480
<v Speaker 1>food coma at three o'clock or something and caffeine just

0:55:45.520 --> 0:55:47.239
<v Speaker 1>doesn't work as well as it does, say at nine thirty,

0:55:47.480 --> 0:55:50.359
<v Speaker 1>when you know your hormones and and metabolites are are

0:55:50.400 --> 0:55:53.120
<v Speaker 1>spiking at a different rate. So the idea of chronobiology

0:55:53.239 --> 0:55:57.320
<v Speaker 1>is within the cells, between the cells, and even between people.

0:55:57.880 --> 0:56:00.760
<v Speaker 1>Is there something about the dimension of time that plays

0:56:00.800 --> 0:56:04.719
<v Speaker 1>relevance for medicine in the body. That's that's quite fascinating. Um,

0:56:05.120 --> 0:56:09.960
<v Speaker 1>what else? Autonomous driving GPU gaming to your concept of

0:56:10.400 --> 0:56:15.680
<v Speaker 1>of UH, intelligent machine goes from GPU from gaming to

0:56:15.960 --> 0:56:20.480
<v Speaker 1>power artificial intelligence to machine learning. What's next? Is this

0:56:20.600 --> 0:56:26.360
<v Speaker 1>what's going to drive fully autonomous driving, autonomous military vehicles?

0:56:26.840 --> 0:56:30.120
<v Speaker 1>Where does this go? And explain what GPU is? So,

0:56:30.320 --> 0:56:32.880
<v Speaker 1>So GPUs are graphic processing units. This is the ability

0:56:32.960 --> 0:56:36.520
<v Speaker 1>to do UH large scale multidimensional processing of polygon. So

0:56:36.560 --> 0:56:38.360
<v Speaker 1>back in the day, if you had in a Nintendo

0:56:38.400 --> 0:56:40.360
<v Speaker 1>sixty four, it was this big revolution. If you were

0:56:40.360 --> 0:56:42.160
<v Speaker 1>playing James Bond, back in the day, it was like, wow,

0:56:42.200 --> 0:56:44.840
<v Speaker 1>you know like three dimensional you know Simulation Tank Command.

0:56:45.000 --> 0:56:46.719
<v Speaker 1>I remember that game, and that was two dimensional. But

0:56:46.800 --> 0:56:49.360
<v Speaker 1>but you can see what was all three dimensional polygons

0:56:49.400 --> 0:56:51.200
<v Speaker 1>and that's how they created the sense of depth and

0:56:51.280 --> 0:56:55.200
<v Speaker 1>the illusion of space exactly. But but over time you

0:56:55.280 --> 0:56:57.759
<v Speaker 1>can see this clear progression, almost like a Moore's law

0:56:58.280 --> 0:57:02.520
<v Speaker 1>of visualization. But we went from CPUs, the central processing units,

0:57:02.520 --> 0:57:05.200
<v Speaker 1>which were primarily dominated by Intel, to GPUs, which were

0:57:05.239 --> 0:57:08.319
<v Speaker 1>primarily dominated by in Vidia. Now, the narrative in public

0:57:08.400 --> 0:57:12.160
<v Speaker 1>markets around Nvidia was this is tightly coupled to PlayStations,

0:57:12.640 --> 0:57:17.000
<v Speaker 1>PS four and uh xboxes. But suddenly something happened a

0:57:17.040 --> 0:57:19.960
<v Speaker 1>few years ago, about seven years ago, where they invented

0:57:20.000 --> 0:57:22.480
<v Speaker 1>a language called Kuda c U d A, and it

0:57:22.560 --> 0:57:24.400
<v Speaker 1>put it in the hands of academics and researchers who

0:57:24.400 --> 0:57:26.960
<v Speaker 1>suddenly said, wait a second, instead of using CPUs for

0:57:27.200 --> 0:57:30.120
<v Speaker 1>high throughput computing, we can instead use GPUs to do

0:57:30.280 --> 0:57:33.560
<v Speaker 1>this processing. And they started doing the processing for neural

0:57:33.640 --> 0:57:36.160
<v Speaker 1>networks to be able to do artificial intelligence and machine learning.

0:57:36.440 --> 0:57:39.000
<v Speaker 1>And so you saw the shift where GPUs were primarily

0:57:39.120 --> 0:57:41.840
<v Speaker 1>coupled to the consoles and gaming to suddenly being the

0:57:41.920 --> 0:57:44.680
<v Speaker 1>soul of the new machine inside of things like autonomous

0:57:44.760 --> 0:57:47.800
<v Speaker 1>vehicles and drones and simulations. This is an area when

0:57:47.840 --> 0:57:50.360
<v Speaker 1>you say, like what's next In terms of autonomous vehicles,

0:57:50.880 --> 0:57:55.280
<v Speaker 1>increasingly the technology stack is um is maturing. You have

0:57:55.600 --> 0:57:58.120
<v Speaker 1>light ar, you have solid state LDAR, but the really

0:57:58.240 --> 0:58:01.160
<v Speaker 1>valuable thing is the simulation. And this is a fascinating

0:58:01.160 --> 0:58:04.520
<v Speaker 1>phenomenon because it is affecting many different industries, the gap

0:58:04.720 --> 0:58:08.720
<v Speaker 1>between reality and that which is simulated, so the ability

0:58:08.880 --> 0:58:13.080
<v Speaker 1>to render reality in physics engines, He's leading everything from

0:58:13.360 --> 0:58:15.280
<v Speaker 1>you can play a simulator on something like Drone Racing

0:58:15.320 --> 0:58:17.600
<v Speaker 1>League and you can actually fly a drone and it's indistinguishable.

0:58:17.960 --> 0:58:20.560
<v Speaker 1>You can actually simulate something inside the human body using

0:58:20.560 --> 0:58:22.840
<v Speaker 1>a CT scan of a body and have a GPS

0:58:22.880 --> 0:58:26.080
<v Speaker 1>guided experience using a surgical robot. You can actually have

0:58:26.160 --> 0:58:29.400
<v Speaker 1>a simulation of a street and then have an autonomous

0:58:29.480 --> 0:58:32.400
<v Speaker 1>vehicle that is learning on the simulation as opposed to

0:58:32.440 --> 0:58:36.240
<v Speaker 1>actually learning driving in the road, and it's increasingly indistinguishable.

0:58:36.600 --> 0:58:39.280
<v Speaker 1>So typically that takes place on a screen. I know

0:58:39.400 --> 0:58:42.000
<v Speaker 1>you're a sci fi guy. When do we get um

0:58:42.720 --> 0:58:46.080
<v Speaker 1>the star Trek Wholegram room the whole of deck well,

0:58:46.160 --> 0:58:48.320
<v Speaker 1>you've got we have a company actually called looking Glass

0:58:48.320 --> 0:58:51.920
<v Speaker 1>that's doing volumetric display, but we're not needing three dimensional

0:58:52.040 --> 0:58:54.320
<v Speaker 1>without a screen. Three dimensional. You have a screen, but

0:58:54.440 --> 0:58:56.880
<v Speaker 1>you have no V R A R glasses, So it's

0:58:56.920 --> 0:59:00.360
<v Speaker 1>a it's an optical trick like holograms are. But the

0:59:00.440 --> 0:59:02.240
<v Speaker 1>future there is that you'll be looking at something lookin

0:59:02.320 --> 0:59:05.600
<v Speaker 1>too uh um. You know, a pitch on a soccer field,

0:59:05.640 --> 0:59:07.360
<v Speaker 1>then it's in three dimensional like a fish tank, and

0:59:07.360 --> 0:59:09.640
<v Speaker 1>you're watching the game, you know, right there. H So,

0:59:09.960 --> 0:59:12.880
<v Speaker 1>one last star trek thing I have to ask you about.

0:59:13.360 --> 0:59:17.480
<v Speaker 1>You've talked about transporter technology, right and we're not talking

0:59:17.560 --> 0:59:21.160
<v Speaker 1>about spooky um connections at a distance or anything on

0:59:21.280 --> 0:59:24.400
<v Speaker 1>a on a sub atomic level. You're literally talking about

0:59:24.440 --> 0:59:29.040
<v Speaker 1>the ability to send matter from here to there. Explain that, Well,

0:59:29.120 --> 0:59:31.000
<v Speaker 1>I don't think you can do. I mean that is

0:59:31.040 --> 0:59:33.320
<v Speaker 1>science fiction. What you can do is, I can take

0:59:33.320 --> 0:59:35.240
<v Speaker 1>a picture I'm looking at a coffee cup on our

0:59:35.280 --> 0:59:38.760
<v Speaker 1>desk here. I can three D capture a similar acorum

0:59:38.800 --> 0:59:41.720
<v Speaker 1>of that cop I can now it's a CAD design.

0:59:42.320 --> 0:59:45.720
<v Speaker 1>I can turn the atoms into a representation in bits,

0:59:45.760 --> 0:59:47.280
<v Speaker 1>and I can send those bits as a cat file

0:59:47.360 --> 0:59:49.840
<v Speaker 1>digitally to a three D printer, and I can print

0:59:50.360 --> 0:59:53.200
<v Speaker 1>a version of that, but I am not actually transporting

0:59:53.240 --> 0:59:56.000
<v Speaker 1>the individual atoms which is copied it. Which is why

0:59:56.320 --> 0:59:59.280
<v Speaker 1>I will never step foot on a transporter, because people

0:59:59.360 --> 1:00:03.160
<v Speaker 1>don't realize the transporter kills you and creates an exact

1:00:03.280 --> 1:00:06.280
<v Speaker 1>duplicate of view wherever it goes. And I was always

1:00:06.640 --> 1:00:09.080
<v Speaker 1>I was always surprised at Star Trek how that never

1:00:09.240 --> 1:00:12.160
<v Speaker 1>came up other than the doc not wanting to do it.

1:00:12.640 --> 1:00:15.480
<v Speaker 1>But every time you step on a transporter, if you

1:00:15.560 --> 1:00:18.400
<v Speaker 1>want to make a device to execute people, and this

1:00:18.480 --> 1:00:21.840
<v Speaker 1>would be it, right, you basically take people and disassemble

1:00:21.920 --> 1:00:26.160
<v Speaker 1>them on a molecule and atom by anom basis. Now,

1:00:26.200 --> 1:00:29.040
<v Speaker 1>the fact that you have the ability to reassemble them elsewhere,

1:00:29.160 --> 1:00:31.800
<v Speaker 1>that doesn't mean they're not dead. This is just an

1:00:31.840 --> 1:00:36.240
<v Speaker 1>exact duplicate. But I just thought that was an interesting

1:00:36.360 --> 1:00:39.800
<v Speaker 1>But so you're talking about reporters are not an investable thing.

1:00:40.000 --> 1:00:43.920
<v Speaker 1>You're you're talking about basically the variation of three D

1:00:44.000 --> 1:00:49.360
<v Speaker 1>printing using at a distance, using using um a full

1:00:49.440 --> 1:00:52.320
<v Speaker 1>three D scanner, scanning you know, and and three D scanning.

1:00:52.400 --> 1:00:55.000
<v Speaker 1>The resolution has increased exponentially over the past few years

1:00:55.040 --> 1:00:56.480
<v Speaker 1>and so that's going to continue, and I think that

1:00:56.600 --> 1:01:00.600
<v Speaker 1>you can capture very discrete elements. Uh. This is another

1:01:00.640 --> 1:01:03.760
<v Speaker 1>area where actually I'm very excited about biology, which is

1:01:03.840 --> 1:01:06.120
<v Speaker 1>the imaging and microscopy tools that are coming out to

1:01:06.120 --> 1:01:08.800
<v Speaker 1>be able to capture things in real time at a

1:01:08.960 --> 1:01:12.000
<v Speaker 1>near atomic scale inside of cells. But the idea of

1:01:12.000 --> 1:01:15.520
<v Speaker 1>teleportation is you know, today's science fiction three D scanners

1:01:15.640 --> 1:01:18.480
<v Speaker 1>coupled with three D printers will closely approximated, but it's

1:01:18.480 --> 1:01:21.600
<v Speaker 1>still a trick and at a molecular level, you know,

1:01:21.720 --> 1:01:23.320
<v Speaker 1>let's we might as well talk a little bit about

1:01:23.360 --> 1:01:28.600
<v Speaker 1>Crisper and gene editing. Um, are you describing building these

1:01:28.680 --> 1:01:32.560
<v Speaker 1>things from scratch or are you talking about growing these things, designing,

1:01:32.720 --> 1:01:35.560
<v Speaker 1>redesigning the genes and growing them or doing a scan

1:01:35.720 --> 1:01:38.320
<v Speaker 1>and reproducing them. Well, there, no, no, So in biology,

1:01:38.360 --> 1:01:40.800
<v Speaker 1>there are there are people that have gene libraries. They're

1:01:40.800 --> 1:01:43.160
<v Speaker 1>trying to assemble nuclear tides. There are people who are

1:01:43.280 --> 1:01:45.959
<v Speaker 1>editing them using the technique of Crisper. Crisper is really,

1:01:46.600 --> 1:01:48.600
<v Speaker 1>I don't want to say, an overhyped technique, but it

1:01:48.760 --> 1:01:51.960
<v Speaker 1>is a very hyped technique that was a fundamental breakthrough

1:01:51.960 --> 1:01:54.400
<v Speaker 1>and the fundamental breakthrough was effectively control C, control V,

1:01:54.560 --> 1:01:57.040
<v Speaker 1>and computing. It was copy and paste. You can actually

1:01:57.240 --> 1:02:00.360
<v Speaker 1>use this technique to be able to transpose code, dawns

1:02:00.520 --> 1:02:03.160
<v Speaker 1>or nucleotides from one part to another, and so that

1:02:03.200 --> 1:02:06.760
<v Speaker 1>allows you to literally edit like a Microsoft word with precision.

1:02:07.160 --> 1:02:09.040
<v Speaker 1>But we are still so far away from being able

1:02:09.040 --> 1:02:11.680
<v Speaker 1>to deliver. There's been no crisper in a human There's

1:02:11.720 --> 1:02:14.080
<v Speaker 1>been no technique where you say, you know, Jeez Barr

1:02:14.120 --> 1:02:16.160
<v Speaker 1>has got a genetic defect here and let's you know,

1:02:16.480 --> 1:02:18.800
<v Speaker 1>edit that out. It's just it's it's it's so far

1:02:18.920 --> 1:02:21.760
<v Speaker 1>away from practical reality that it's still a lot of hip.

1:02:21.840 --> 1:02:25.200
<v Speaker 1>But when you say so far away a thousand years, no,

1:02:25.560 --> 1:02:28.320
<v Speaker 1>I mean, you know, a hundred years, ten years impossible

1:02:28.360 --> 1:02:29.840
<v Speaker 1>to predict because you could have a breakthrough, you know,

1:02:29.920 --> 1:02:33.200
<v Speaker 1>in so intellectual but realistically, fifty years from now you

1:02:33.280 --> 1:02:36.120
<v Speaker 1>will be able to edit not you but you can

1:02:36.240 --> 1:02:39.240
<v Speaker 1>today edit embryos. You can you know in China is

1:02:39.280 --> 1:02:41.040
<v Speaker 1>doing this. China, and this is something I always say

1:02:41.080 --> 1:02:43.640
<v Speaker 1>that China lacks something that we have, and because they

1:02:43.720 --> 1:02:45.600
<v Speaker 1>lack it, they will be ascendant. And the thing that

1:02:45.680 --> 1:02:48.240
<v Speaker 1>they lack is the ethics and regulatory apparatus that slows

1:02:48.280 --> 1:02:50.120
<v Speaker 1>things down here in the US. Well, the way to

1:02:50.440 --> 1:02:55.000
<v Speaker 1>let me rephrase what you just said, China prioritizes the

1:02:55.560 --> 1:02:59.280
<v Speaker 1>group over the individual. In America, our priorities or the

1:02:59.320 --> 1:03:01.800
<v Speaker 1>individual of the group. And that's the difference between individual

1:03:01.960 --> 1:03:05.640
<v Speaker 1>rights or a society that's lasted five thousand years totally.

1:03:05.760 --> 1:03:09.280
<v Speaker 1>And and the result of that, I think is that

1:03:09.520 --> 1:03:13.960
<v Speaker 1>many of the advances in biotech will actually in the

1:03:14.040 --> 1:03:18.680
<v Speaker 1>near future occur in China, particularly around CNS disorders Parkinsons.

1:03:18.720 --> 1:03:23.080
<v Speaker 1>And the reason I say that is, first of all,

1:03:23.600 --> 1:03:25.960
<v Speaker 1>with the growing demographic population we have that are going

1:03:26.000 --> 1:03:28.320
<v Speaker 1>to get older here in the US and suffer from

1:03:28.360 --> 1:03:33.560
<v Speaker 1>things like Alzheimer's and Parkinson's and neurodegenerative diseases and inevitability. Statistically,

1:03:33.800 --> 1:03:37.480
<v Speaker 1>that is a huge market. We have shifted much of

1:03:37.520 --> 1:03:40.760
<v Speaker 1>our primate research outside the US because of ethics reasons.

1:03:41.240 --> 1:03:44.600
<v Speaker 1>China does not have any such ethics reasons. They do

1:03:44.720 --> 1:03:47.320
<v Speaker 1>work on prisoners that even Americans would be a guess

1:03:47.360 --> 1:03:51.560
<v Speaker 1>that that that may be so, but they are definitively

1:03:51.600 --> 1:03:54.800
<v Speaker 1>doing work on primates. Uh. And I think what's gonna

1:03:54.840 --> 1:03:57.280
<v Speaker 1>end up happening is we will import from China the

1:03:57.400 --> 1:04:00.320
<v Speaker 1>drugs much in the way that the US X boards

1:04:00.400 --> 1:04:02.600
<v Speaker 1>Hollywood to the rest of the world. I think China

1:04:02.640 --> 1:04:06.320
<v Speaker 1>will be exporting drugs and hopefully you know, it's well tested,

1:04:06.400 --> 1:04:09.360
<v Speaker 1>close to FDA approved apparatus, so that we're not in

1:04:09.520 --> 1:04:13.120
<v Speaker 1>in uh important crazy stuff. But so, what's the difference

1:04:13.160 --> 1:04:16.080
<v Speaker 1>between doing the research? This is where the ethical slash

1:04:16.200 --> 1:04:19.840
<v Speaker 1>economic discussion we had earlier comes to four. Is there

1:04:19.880 --> 1:04:23.320
<v Speaker 1>a difference between doing the research or purchasing the end

1:04:23.400 --> 1:04:27.520
<v Speaker 1>result of that research? To me, it's the same effectively,

1:04:28.000 --> 1:04:30.680
<v Speaker 1>the research was done. You may not like it, but

1:04:30.840 --> 1:04:33.800
<v Speaker 1>you're eating the pork or you're buying this product. How

1:04:33.880 --> 1:04:36.400
<v Speaker 1>are you not as responsible for the research as if

1:04:36.440 --> 1:04:39.560
<v Speaker 1>it was done here? Isn't it hypocritical to pretend otherwise?

1:04:40.000 --> 1:04:42.440
<v Speaker 1>And this goes to whether we're talking about food or

1:04:43.120 --> 1:04:45.040
<v Speaker 1>what have you. Well, look, it is a US citizen,

1:04:45.120 --> 1:04:47.400
<v Speaker 1>your your tax money goes to university research, and you

1:04:47.480 --> 1:04:49.400
<v Speaker 1>might fund some research. Whether you agree with that or not.

1:04:49.520 --> 1:04:51.480
<v Speaker 1>I mean that's the age or the War Department or this.

1:04:51.600 --> 1:04:53.800
<v Speaker 1>So that I mean, which itself is another ethical issue

1:04:53.800 --> 1:04:55.760
<v Speaker 1>we should touch on. Because military technology, I think is

1:04:55.760 --> 1:04:57.920
<v Speaker 1>going to be an absolute boone in venture capital. I

1:04:57.960 --> 1:04:59.760
<v Speaker 1>think it's one of the most exciting and important areas

1:05:00.120 --> 1:05:02.560
<v Speaker 1>in the next you know, five years um in part

1:05:03.160 --> 1:05:06.600
<v Speaker 1>because the vast number of big tech companies from Google

1:05:06.640 --> 1:05:09.720
<v Speaker 1>on down are issuing wanting to do work with military.

1:05:09.800 --> 1:05:11.800
<v Speaker 1>They have such pressure from the HR and I R

1:05:11.880 --> 1:05:13.760
<v Speaker 1>departments that people are saying, I don't want to work

1:05:13.800 --> 1:05:16.919
<v Speaker 1>on this stuff. It is creating a giant, gaping, whole

1:05:17.160 --> 1:05:19.920
<v Speaker 1>void where there is a tremendous opportunity for some of

1:05:20.000 --> 1:05:22.720
<v Speaker 1>the smartest technologies, some of the smartest scientists and engineers,

1:05:22.960 --> 1:05:25.680
<v Speaker 1>to work on these wicked, thorny problems in defense. Your

1:05:26.080 --> 1:05:29.360
<v Speaker 1>pal Peter till We are co invested in a company

1:05:29.440 --> 1:05:31.440
<v Speaker 1>called and Roll. I think it is going to be

1:05:31.520 --> 1:05:34.240
<v Speaker 1>one of the greatest companies in defense. If you look

1:05:34.280 --> 1:05:38.480
<v Speaker 1>at the new entrants. If you look at the new

1:05:38.800 --> 1:05:42.440
<v Speaker 1>entrants in defense, you know, you've got Lockeed, You've got Raytheon,

1:05:42.520 --> 1:05:45.280
<v Speaker 1>You've got be A, You've got General Dynamics. There hasn't

1:05:45.280 --> 1:05:48.960
<v Speaker 1>been anybody over the past. They've all conglomeratized over the

1:05:49.000 --> 1:05:50.920
<v Speaker 1>past thirty years. There used to be fifty companies in

1:05:50.960 --> 1:05:52.920
<v Speaker 1>that space. There's seven. And in some cases you have

1:05:53.000 --> 1:05:54.680
<v Speaker 1>people that are doing amazing things, but it takes a

1:05:54.760 --> 1:05:56.800
<v Speaker 1>very long time, and they're working on huge, multi billion

1:05:56.800 --> 1:05:59.440
<v Speaker 1>projects like the thirty five Joint Strike Fighter. In other cases,

1:05:59.480 --> 1:06:01.640
<v Speaker 1>you have many, many small beltway bandits who are just

1:06:01.680 --> 1:06:03.800
<v Speaker 1>getting these cost plus contracts because they know somebody that

1:06:03.880 --> 1:06:06.600
<v Speaker 1>knows somebody. But true innovation the thing that I think

1:06:06.640 --> 1:06:10.080
<v Speaker 1>gave American military might, which in turn gave our economy

1:06:10.120 --> 1:06:13.000
<v Speaker 1>the ability to project power across the globe and control

1:06:13.040 --> 1:06:16.160
<v Speaker 1>two oceans, and all the geographic plus military advantage we have,

1:06:16.680 --> 1:06:20.720
<v Speaker 1>it has to be supported by continuous technological advantage. Is

1:06:20.760 --> 1:06:22.440
<v Speaker 1>something that over the past twenty years, I think has

1:06:22.480 --> 1:06:25.240
<v Speaker 1>slipped away. I think very few engineers want to really

1:06:25.280 --> 1:06:27.200
<v Speaker 1>work on these problems, and I think the smartest ones

1:06:27.280 --> 1:06:29.080
<v Speaker 1>that do are not only going to make a fortune,

1:06:29.080 --> 1:06:31.600
<v Speaker 1>but they're going to do a tremendous patriotic duty. Quite

1:06:31.680 --> 1:06:36.320
<v Speaker 1>quite interesting. There's a fascinating story about how a bunch

1:06:36.360 --> 1:06:39.680
<v Speaker 1>of engineers tried to get the Navy to take radar

1:06:40.320 --> 1:06:44.000
<v Speaker 1>in the new book um Loon Shots. It's just astonishing

1:06:44.080 --> 1:06:46.040
<v Speaker 1>that this was an old technology by the time it

1:06:46.160 --> 1:06:49.200
<v Speaker 1>was put to work in World War Two. Nobody could

1:06:49.240 --> 1:06:52.560
<v Speaker 1>get the War Department, which, as it was called, back

1:06:52.600 --> 1:06:55.600
<v Speaker 1>then to recognize the military value of this, I gotta

1:06:55.600 --> 1:06:57.560
<v Speaker 1>think there's a million things. It's always I mean, even

1:06:57.600 --> 1:07:01.240
<v Speaker 1>the Jim Wolsey, whose former I who was a venture

1:07:01.280 --> 1:07:04.040
<v Speaker 1>partner on our firm Familiar really he uh you know,

1:07:04.120 --> 1:07:08.760
<v Speaker 1>tells a story of of Amber, which was he traded

1:07:08.800 --> 1:07:11.720
<v Speaker 1>a bunch of alpaca back blankets to um to some

1:07:11.840 --> 1:07:14.280
<v Speaker 1>people over in eastern Europe to be able to get

1:07:14.280 --> 1:07:16.120
<v Speaker 1>a runway and then actually fly a drone. He was

1:07:16.160 --> 1:07:20.040
<v Speaker 1>looking at Milissovitch and uh and in that early drone

1:07:20.360 --> 1:07:24.200
<v Speaker 1>was predator by this really entrepreneur Abe Caram at the

1:07:24.280 --> 1:07:26.200
<v Speaker 1>time wolves. He went to the d O D and said,

1:07:26.200 --> 1:07:27.360
<v Speaker 1>I need a drone. I want to be able to

1:07:27.480 --> 1:07:30.560
<v Speaker 1>you know, have an unmanned pilot that could a pilot

1:07:30.680 --> 1:07:32.560
<v Speaker 1>vehicle that could give me eyes on the ground. And

1:07:32.560 --> 1:07:34.600
<v Speaker 1>they said it will cost five million dollars and take

1:07:34.640 --> 1:07:36.240
<v Speaker 1>six years. And he was able to go to this

1:07:36.400 --> 1:07:39.080
<v Speaker 1>entrepreneur and in five million dollars in six months they

1:07:39.120 --> 1:07:42.320
<v Speaker 1>were able to create this astonishing and whatever happened with

1:07:42.440 --> 1:07:46.160
<v Speaker 1>the company behind the Predator drone did Boeing a General

1:07:46.200 --> 1:07:49.040
<v Speaker 1>Atomics General Stomics. Okay, that's a that's a minute. General

1:07:49.120 --> 1:07:52.160
<v Speaker 1>dynamics or general Atomics. Really that's a great that's a

1:07:52.240 --> 1:07:55.640
<v Speaker 1>great name, j um So I only have you for

1:07:55.760 --> 1:07:59.240
<v Speaker 1>a fine amount of time. Let's jump to our speed

1:07:59.360 --> 1:08:02.320
<v Speaker 1>round our favorite questions. These are what we ask all

1:08:02.400 --> 1:08:05.560
<v Speaker 1>of our guests. Um, first car you have our own?

1:08:05.640 --> 1:08:09.720
<v Speaker 1>You're making model Ford Explorer. It was a Hunter Green

1:08:10.040 --> 1:08:12.000
<v Speaker 1>and uh, I think I had it for a year

1:08:12.080 --> 1:08:14.600
<v Speaker 1>before it spun out on the highway and uh I

1:08:14.760 --> 1:08:16.280
<v Speaker 1>never drove it again. By the way, this is my

1:08:16.720 --> 1:08:20.080
<v Speaker 1>test question because eventually someone's gonna say, what's a what's

1:08:20.120 --> 1:08:22.240
<v Speaker 1>the car? I don't know what you talk exactly? Uh,

1:08:22.360 --> 1:08:25.080
<v Speaker 1>tell us the most important thing people don't know about

1:08:25.200 --> 1:08:26.760
<v Speaker 1>Josh wall I mean, you know, there's so much that

1:08:26.760 --> 1:08:28.720
<v Speaker 1>I don't even know about Josh Wolf right. So being

1:08:28.760 --> 1:08:31.800
<v Speaker 1>intellectually honest, but uh, personal side of me, I love

1:08:31.960 --> 1:08:34.200
<v Speaker 1>heavy metal and hardcore. I grew up going to you know,

1:08:34.479 --> 1:08:38.320
<v Speaker 1>mosh pick Brooklyn, place called Lamore's and Life of Agony,

1:08:38.439 --> 1:08:41.560
<v Speaker 1>and I like skateboarding, and I like people that just

1:08:41.720 --> 1:08:45.719
<v Speaker 1>have this sort of gritty rebel side to them. Heavy

1:08:45.760 --> 1:08:47.960
<v Speaker 1>metal hip hop. When you say heavy metal, like my

1:08:48.080 --> 1:08:51.840
<v Speaker 1>hip hop following ends at Pulse Boutique with the Beastie Boys,

1:08:51.920 --> 1:08:54.360
<v Speaker 1>but yeah, it's too commercial, like you know Black Moon.

1:08:54.479 --> 1:08:57.919
<v Speaker 1>On the hip hop side, um uh, like two commercial

1:08:58.080 --> 1:09:01.200
<v Speaker 1>is three eleven or or and and on the heavy

1:09:01.240 --> 1:09:03.960
<v Speaker 1>metal side it would have been um deaf Tones, Life

1:09:03.960 --> 1:09:08.640
<v Speaker 1>of Agony, bio hazards, you're hard for. Like, to me,

1:09:08.720 --> 1:09:11.680
<v Speaker 1>heavy metal is Black Sabbath and that's like when I

1:09:11.760 --> 1:09:14.479
<v Speaker 1>was coming up. But you say that today. But when

1:09:14.560 --> 1:09:17.000
<v Speaker 1>Black Sabbath came out, people were like, what is this

1:09:17.160 --> 1:09:20.840
<v Speaker 1>devil music? Exactly? Um, tell us about some of your

1:09:20.880 --> 1:09:23.200
<v Speaker 1>early mentors. You obviously have a few who have helped

1:09:23.320 --> 1:09:25.439
<v Speaker 1>shape your career. Well, it's interesting there there used to

1:09:25.479 --> 1:09:27.559
<v Speaker 1>be this placard outside of our old office. We were

1:09:27.600 --> 1:09:29.160
<v Speaker 1>on forty first Park in Madison that we're down on

1:09:29.160 --> 1:09:32.800
<v Speaker 1>Broadway and you said that, Um, you know, reading great

1:09:32.840 --> 1:09:34.880
<v Speaker 1>books is like having conversations with you know, the best

1:09:34.920 --> 1:09:37.639
<v Speaker 1>minds of history, and so so many of my embedded

1:09:37.680 --> 1:09:44.160
<v Speaker 1>in the ground. And so my office is forty Brian Parks, right,

1:09:44.240 --> 1:09:46.519
<v Speaker 1>they're they're fabulous. They're all over and I don't know

1:09:46.600 --> 1:09:48.519
<v Speaker 1>who did that, but it's genius. I love it. And

1:09:48.640 --> 1:09:50.479
<v Speaker 1>and you know you're you're looking down, you're looking at

1:09:50.520 --> 1:09:51.920
<v Speaker 1>your feet, you're looking at your phone or whatever, and

1:09:51.960 --> 1:09:53.560
<v Speaker 1>you notice these things. But that one always hit me

1:09:53.600 --> 1:09:55.360
<v Speaker 1>because so many of my mentors in a sense are

1:09:55.400 --> 1:09:57.280
<v Speaker 1>people that I never met, that are dead right there,

1:09:57.400 --> 1:09:59.360
<v Speaker 1>just live in the pulp and the ideas. But but

1:09:59.439 --> 1:10:01.880
<v Speaker 1>the one human mentor that I really I feel oh

1:10:02.000 --> 1:10:05.000
<v Speaker 1>my career and and the intellectual honesty is Bill Conway,

1:10:05.640 --> 1:10:09.080
<v Speaker 1>the founder of Carlisle, who is just his ethics, his integrity.

1:10:09.120 --> 1:10:10.920
<v Speaker 1>It doesn't matter what the deal docs say, it doesn't

1:10:10.960 --> 1:10:13.880
<v Speaker 1>matter what the contract says, you just do the right thing. Um.

1:10:14.240 --> 1:10:15.880
<v Speaker 1>The kind of questions he asks, the way that he

1:10:15.960 --> 1:10:19.080
<v Speaker 1>speaks without saying things. You know, it's, um, what do

1:10:19.120 --> 1:10:22.240
<v Speaker 1>you mean by speaks without saying things? Um, he has

1:10:22.280 --> 1:10:25.599
<v Speaker 1>a diplomatic way of saying things, and sometimes the messages

1:10:25.640 --> 1:10:28.120
<v Speaker 1>and what he doesn't say. And uh, I find that

1:10:28.240 --> 1:10:30.639
<v Speaker 1>there's a handful of people that can communicate that way

1:10:31.040 --> 1:10:33.320
<v Speaker 1>where you sort of intuit what they mean without them

1:10:33.320 --> 1:10:38.479
<v Speaker 1>actually being explicit. Quite quite interesting. Um. Talk about investors,

1:10:38.560 --> 1:10:41.600
<v Speaker 1>be at VC or otherwise, who influenced your approach to

1:10:41.720 --> 1:10:45.680
<v Speaker 1>the world of risking capital? Well, you know, I think

1:10:45.800 --> 1:10:48.080
<v Speaker 1>I read every bio and every article that I could

1:10:48.080 --> 1:10:50.800
<v Speaker 1>about the early venture investors Um, so you know Tom

1:10:50.840 --> 1:10:55.320
<v Speaker 1>Perkins and General Drio and all the early venture capitalists,

1:10:55.520 --> 1:10:58.360
<v Speaker 1>um and and so many of these lessons are basically

1:10:58.439 --> 1:11:01.760
<v Speaker 1>irrelevant because you have this depends there's an idiosyncratic moment.

1:11:02.080 --> 1:11:04.320
<v Speaker 1>I remember there was a guy from a firm he

1:11:04.400 --> 1:11:06.160
<v Speaker 1>was a legendary investor back in the day, Ben Rosen

1:11:06.240 --> 1:11:08.200
<v Speaker 1>from Seven Rows, and he was early investor in Compact,

1:11:08.280 --> 1:11:11.479
<v Speaker 1>which was once a significant technology investment Invincent. You just

1:11:11.760 --> 1:11:14.479
<v Speaker 1>need one. You just need one because you get one

1:11:14.600 --> 1:11:16.639
<v Speaker 1>hit and then that hit begets you know, a reputation

1:11:16.720 --> 1:11:18.600
<v Speaker 1>or reputation but gets more hits and so on. So

1:11:18.760 --> 1:11:20.040
<v Speaker 1>on the venture capital side, it was you know a

1:11:20.080 --> 1:11:22.479
<v Speaker 1>handful of individuals. The person who I have the most

1:11:22.520 --> 1:11:24.719
<v Speaker 1>respect for and venture capital hands down as Bill Gurley.

1:11:24.920 --> 1:11:27.120
<v Speaker 1>I think he's a true investor. I think he came

1:11:27.160 --> 1:11:29.400
<v Speaker 1>from the cell side on Wall Street and he understood

1:11:29.400 --> 1:11:31.600
<v Speaker 1>how to be an analyst. First, he understands businesses, he

1:11:31.640 --> 1:11:34.040
<v Speaker 1>understands human nature. I think he happens to be a

1:11:34.160 --> 1:11:36.160
<v Speaker 1>towering giant because he's very tall and I'm very short.

1:11:36.439 --> 1:11:38.120
<v Speaker 1>But um, we're both on the board in the Santa

1:11:38.160 --> 1:11:41.320
<v Speaker 1>Fe Institute, and and I oh with Michael exactly. Michael

1:11:41.400 --> 1:11:44.280
<v Speaker 1>chairs it and and and so, uh So, I'm very

1:11:44.320 --> 1:11:47.200
<v Speaker 1>fond of Bill um and uh you know, but there's

1:11:47.680 --> 1:11:50.360
<v Speaker 1>Bill Janeway is another guy who I think really interesting,

1:11:50.600 --> 1:11:52.080
<v Speaker 1>super smart guy, and the way that he always thought

1:11:52.080 --> 1:11:55.360
<v Speaker 1>about risk and technology was an influence. Um. There's an

1:11:55.360 --> 1:11:57.519
<v Speaker 1>older guy, Chris Brody, who was a Warburg pinkis who

1:11:57.560 --> 1:11:58.920
<v Speaker 1>I spent a lot of time with. I've probably learned

1:11:58.920 --> 1:12:01.599
<v Speaker 1>how to be a good board member from watching uh Chris,

1:12:01.920 --> 1:12:04.640
<v Speaker 1>you know, hold people accountable. So a lot of you know,

1:12:05.520 --> 1:12:09.200
<v Speaker 1>individual lessons. But but from an investing philosophy, I mean,

1:12:09.280 --> 1:12:11.320
<v Speaker 1>hands down, it's like the value investors because they were

1:12:11.360 --> 1:12:13.960
<v Speaker 1>just rational and they have they wouldn't touch venture capital.

1:12:14.040 --> 1:12:16.560
<v Speaker 1>You know, Charlie Munger and Buffett and everything that I

1:12:16.600 --> 1:12:18.960
<v Speaker 1>could read you know that they've ever written or said,

1:12:19.760 --> 1:12:22.439
<v Speaker 1>and all the you know, acolytes that followed from them,

1:12:22.439 --> 1:12:25.000
<v Speaker 1>I think are just It gives you a a grounding

1:12:25.120 --> 1:12:29.320
<v Speaker 1>sense of a true business and markets and human psychology

1:12:29.439 --> 1:12:31.960
<v Speaker 1>and and uh so, I think even as a venture capitalist,

1:12:32.000 --> 1:12:34.400
<v Speaker 1>you know, if you if you haven't studied those greats

1:12:34.520 --> 1:12:37.599
<v Speaker 1>your you get a massive deficit. Let's look about books.

1:12:37.640 --> 1:12:40.040
<v Speaker 1>We've mentioned a few over the course of our conversation,

1:12:40.120 --> 1:12:42.000
<v Speaker 1>what are some of your favorite books, be they fiction,

1:12:42.080 --> 1:12:45.599
<v Speaker 1>non fiction, techychology. I'm a voracious reader, so so fiction nonfiction,

1:12:45.720 --> 1:12:48.360
<v Speaker 1>so Conciliency. O. Wilson was a great Um. How the

1:12:48.400 --> 1:12:52.519
<v Speaker 1>Mind Works Stephen Pinker. Um. I loved The Operator about

1:12:52.600 --> 1:12:56.960
<v Speaker 1>David Geffen And I like reading biology. Uh sorry biographies? Um,

1:12:57.040 --> 1:12:59.960
<v Speaker 1>why Zebras don't get old scar? Oh? Sure out of Stanford?

1:13:00.000 --> 1:13:03.360
<v Speaker 1>What's this game? Poki? Right? Suppolsky Roberts Polk is he's

1:13:03.360 --> 1:13:05.320
<v Speaker 1>a primatologist, right, but at the end of the day,

1:13:05.320 --> 1:13:08.000
<v Speaker 1>where where he's really a behaviorist if you think about it.

1:13:08.240 --> 1:13:10.559
<v Speaker 1>But but we we are two primates sitting here talking, right.

1:13:10.600 --> 1:13:15.000
<v Speaker 1>And related to that, there's a great book that Robin

1:13:15.080 --> 1:13:17.160
<v Speaker 1>Hansen wrote in the past one or two years called

1:13:17.160 --> 1:13:19.640
<v Speaker 1>The Elephant in the Brain about signaling and if you

1:13:19.800 --> 1:13:22.240
<v Speaker 1>understand why people the motives behind why people do things.

1:13:22.320 --> 1:13:25.760
<v Speaker 1>I think it's really interesting. Um, let's see the on

1:13:25.840 --> 1:13:27.960
<v Speaker 1>the fiction side, it's interesting. My wife really got me

1:13:28.040 --> 1:13:31.000
<v Speaker 1>into fiction. Got no going back in fifteen years or

1:13:31.040 --> 1:13:34.400
<v Speaker 1>something like that. But the Magics, um, and it was

1:13:34.439 --> 1:13:37.800
<v Speaker 1>sort of the psychological profile. Oh. I can't remember the

1:13:37.840 --> 1:13:41.040
<v Speaker 1>author's name, but it was m A g u s.

1:13:41.160 --> 1:13:43.400
<v Speaker 1>It's this guy's got this like Greek island and he

1:13:43.680 --> 1:13:46.400
<v Speaker 1>he has this teacher professor who takes this little sojourn

1:13:46.479 --> 1:13:48.320
<v Speaker 1>there and he's just like all these mind games that

1:13:48.360 --> 1:13:50.840
<v Speaker 1>he plays with John Fouls. Yeah, it was. It was

1:13:50.960 --> 1:13:53.840
<v Speaker 1>dark and cool and psychologically that turned me onto a

1:13:53.960 --> 1:13:57.960
<v Speaker 1>British writer, Rachel Kusk, who's writing like every sentence you

1:13:58.000 --> 1:13:59.639
<v Speaker 1>know I mentioned before, I love the line that there's

1:14:00.000 --> 1:14:02.960
<v Speaker 1>aggers and men smiles from Shakespeare and so just her

1:14:03.080 --> 1:14:06.840
<v Speaker 1>use of language and the psychologically astute prose that she

1:14:06.960 --> 1:14:10.120
<v Speaker 1>has is great. Um she has a trilogy that seems

1:14:10.160 --> 1:14:13.240
<v Speaker 1>to be Outline is the first um and and Transit

1:14:13.360 --> 1:14:15.599
<v Speaker 1>was the second, and Kudos I think is the third.

1:14:16.320 --> 1:14:20.640
<v Speaker 1>Um fiction recently over story by Richard Powers. It's just

1:14:20.880 --> 1:14:25.120
<v Speaker 1>brilliant pros And I really got turned onto fiction because

1:14:25.120 --> 1:14:27.240
<v Speaker 1>I think that you can you can tell more in

1:14:27.280 --> 1:14:30.280
<v Speaker 1>a paragraph by an amazing fiction author who understands human

1:14:30.320 --> 1:14:33.760
<v Speaker 1>psychology than you kind reading an entire textbook. So I'm

1:14:33.840 --> 1:14:36.559
<v Speaker 1>surprised there isn't a science fiction title on the list

1:14:36.640 --> 1:14:41.400
<v Speaker 1>because you talked so much previously about sci fi, Neil Stevenson,

1:14:41.560 --> 1:14:44.160
<v Speaker 1>I mean by you know by far the depth, the

1:14:44.320 --> 1:14:46.920
<v Speaker 1>rigor the foresight. You know. The Diamond Age for me,

1:14:47.000 --> 1:14:49.200
<v Speaker 1>probably around the time that we were starting Locks was

1:14:49.280 --> 1:14:53.479
<v Speaker 1>just such an inspiration. Um, Diamond Age. Yeah, and I

1:14:53.880 --> 1:14:59.200
<v Speaker 1>know that one. And he didn't he do seven Moons? Yeah? Right?

1:14:59.360 --> 1:15:03.240
<v Speaker 1>And um yeah, and then and then TV writers like um,

1:15:03.680 --> 1:15:06.759
<v Speaker 1>you know, David Milch and Deadwood and the current writers

1:15:06.800 --> 1:15:11.000
<v Speaker 1>on Westworld. Um, I just I think it's absolutely brilliant,

1:15:11.120 --> 1:15:16.400
<v Speaker 1>scintillating soliloquies that they put forth and philosophically erudite, really interesting.

1:15:16.640 --> 1:15:19.760
<v Speaker 1>We are in a golden edge of television, I think. So, uh,

1:15:19.840 --> 1:15:21.920
<v Speaker 1>tell us about a time you've failed and what you

1:15:22.120 --> 1:15:24.840
<v Speaker 1>learned from the experience. Well, you know, there's business failures

1:15:24.880 --> 1:15:27.280
<v Speaker 1>and there's personal failures. The business failures you lose some money, right,

1:15:27.320 --> 1:15:29.639
<v Speaker 1>or you made a bad decision. So if you're losing money,

1:15:29.720 --> 1:15:31.479
<v Speaker 1>is you know you're not gonna hit home around every

1:15:31.479 --> 1:15:34.240
<v Speaker 1>time you're at bad may not be a failure. It's

1:15:34.280 --> 1:15:37.759
<v Speaker 1>within the expected distribution and returns. We watched as process

1:15:37.800 --> 1:15:39.600
<v Speaker 1>first outcome right, So so there are times where we

1:15:39.640 --> 1:15:41.840
<v Speaker 1>actually make money, but we considered it a failure because

1:15:41.840 --> 1:15:43.680
<v Speaker 1>we have the wrong process. So what I mean by

1:15:43.720 --> 1:15:45.280
<v Speaker 1>that is maybe our thesis was we were going to

1:15:45.320 --> 1:15:46.880
<v Speaker 1>make a certain amount of money or we gonna work

1:15:46.880 --> 1:15:48.599
<v Speaker 1>for this reason, and we were. We ended up making money,

1:15:48.640 --> 1:15:51.240
<v Speaker 1>but we're totally wrong. We consider that a process failure.

1:15:51.680 --> 1:15:54.040
<v Speaker 1>But being you know, I don't want to sound like, um,

1:15:55.320 --> 1:15:58.120
<v Speaker 1>I don't know to cliche here, but like, the the

1:15:58.200 --> 1:16:00.280
<v Speaker 1>biggest failures for me are the things that have the

1:16:00.320 --> 1:16:03.479
<v Speaker 1>permanence of regret. So choices I made, or relationships that

1:16:03.479 --> 1:16:05.439
<v Speaker 1>I under invested in, or people that I didn't spend

1:16:05.520 --> 1:16:07.599
<v Speaker 1>enough time with who passed, like, those to me are

1:16:07.600 --> 1:16:10.240
<v Speaker 1>the biggest failures. And um, if there was like if

1:16:10.280 --> 1:16:11.880
<v Speaker 1>there was a younger Josh that I can go back to,

1:16:12.040 --> 1:16:14.120
<v Speaker 1>it would be you know, some of the relationships that

1:16:14.160 --> 1:16:16.040
<v Speaker 1>I wish I could have fixed or or people like

1:16:16.080 --> 1:16:17.479
<v Speaker 1>I said who passed, that I could have spent more

1:16:17.520 --> 1:16:19.000
<v Speaker 1>time with. Those to me of the biggest failures because

1:16:19.000 --> 1:16:21.160
<v Speaker 1>you can never fix them. You lose money and investment.

1:16:21.200 --> 1:16:23.080
<v Speaker 1>You know, a big deal, you'll make money in another one,

1:16:23.479 --> 1:16:25.160
<v Speaker 1>but you know, you lose a person or a friendship

1:16:25.200 --> 1:16:28.040
<v Speaker 1>or relationship. I think those are the biggest failures. So afterwards,

1:16:28.120 --> 1:16:30.479
<v Speaker 1>I'll give you the secret to time travel and tell

1:16:30.479 --> 1:16:34.320
<v Speaker 1>you how you could solve those issues. Um, and I'm

1:16:34.479 --> 1:16:36.160
<v Speaker 1>not kidding. What do you do for fun? What do

1:16:36.200 --> 1:16:38.679
<v Speaker 1>you do when you're not reading or or at work?

1:16:38.840 --> 1:16:41.120
<v Speaker 1>My my kids are just you know, it's an amazing adventure.

1:16:41.120 --> 1:16:42.880
<v Speaker 1>I've got three of them. Uh you know, now there

1:16:42.880 --> 1:16:44.519
<v Speaker 1>are nine six and three, two girls and a boy,

1:16:44.600 --> 1:16:47.800
<v Speaker 1>and you know you get to just see the world

1:16:47.840 --> 1:16:50.200
<v Speaker 1>through their eyes and and make all kinds of new

1:16:50.280 --> 1:16:52.800
<v Speaker 1>mistakes over. Um. So I love my kids, I love

1:16:52.880 --> 1:16:54.280
<v Speaker 1>my family. I was an only child, though I ever

1:16:54.320 --> 1:16:56.360
<v Speaker 1>wanted was a big nuclear family, and my parents blew

1:16:56.360 --> 1:16:57.519
<v Speaker 1>when I was young. So this is sort of the

1:16:57.600 --> 1:17:02.200
<v Speaker 1>chance I've had to make it right. Um. Love reading, skateboarding, basketball,

1:17:02.479 --> 1:17:05.360
<v Speaker 1>just still skateboarding. In fact, there's a Sunday morning crew

1:17:05.439 --> 1:17:07.759
<v Speaker 1>of Dad's, um you know that are sort of between

1:17:07.800 --> 1:17:09.720
<v Speaker 1>forty and five, and we go out and try back

1:17:09.760 --> 1:17:11.560
<v Speaker 1>at the skate park. And you've got to keep the

1:17:11.680 --> 1:17:15.640
<v Speaker 1>orthopedics busy. They need to earn a living also, UM,

1:17:16.200 --> 1:17:18.519
<v Speaker 1>tell us what you're most optimistic about today and what

1:17:18.600 --> 1:17:21.080
<v Speaker 1>are you most pessimistic about? You know, I think this

1:17:21.240 --> 1:17:24.080
<v Speaker 1>is a constant. I'm always optimistic about scientists and uh,

1:17:24.439 --> 1:17:26.720
<v Speaker 1>you know, the incremental discoveries and the big breakthroughs that

1:17:26.760 --> 1:17:28.720
<v Speaker 1>they're going to make, because I think it's an inevitability.

1:17:28.720 --> 1:17:30.919
<v Speaker 1>I always talk about this sort of directional hour of progress,

1:17:31.400 --> 1:17:34.320
<v Speaker 1>and I think there's an absolute inevitability, just driven by

1:17:34.560 --> 1:17:36.920
<v Speaker 1>human greed pursuit of status, that we are going to

1:17:37.000 --> 1:17:40.880
<v Speaker 1>continue to discover incredible things that by definition, nobody ever anticipated.

1:17:41.080 --> 1:17:44.599
<v Speaker 1>So I'm optimistic about science itself as a process. Um.

1:17:45.000 --> 1:17:47.880
<v Speaker 1>I am generally pestimistic about human nature. I mean, the

1:17:48.520 --> 1:17:50.559
<v Speaker 1>best and unfortunately the worst things that I think happened

1:17:50.560 --> 1:17:53.080
<v Speaker 1>in the world are not because of um, you know,

1:17:53.479 --> 1:17:56.000
<v Speaker 1>inanimate things. It's because of animated things. Is about people,

1:17:56.280 --> 1:17:58.840
<v Speaker 1>two legged mammals who who are you know, filled with

1:17:59.160 --> 1:18:01.599
<v Speaker 1>um too much read or too much fear, too much hate,

1:18:01.680 --> 1:18:05.679
<v Speaker 1>or too much ignorance. And and so I'm generally pessimistic

1:18:05.680 --> 1:18:09.160
<v Speaker 1>about human nature. And and uh, you know that classic

1:18:09.240 --> 1:18:12.960
<v Speaker 1>Daggers and men smiles. UM. And our final two and

1:18:13.120 --> 1:18:15.680
<v Speaker 1>most favorite questions, what sort of advice would you give

1:18:15.720 --> 1:18:18.519
<v Speaker 1>to a millennial or recent college graduate who came to

1:18:18.560 --> 1:18:21.240
<v Speaker 1>you and said, Hey, I'm interested in a career either

1:18:21.360 --> 1:18:25.720
<v Speaker 1>as a technology entrepreneur or a venture capital. I think

1:18:25.760 --> 1:18:27.920
<v Speaker 1>the single most important thing for anybody is to UM,

1:18:28.200 --> 1:18:32.000
<v Speaker 1>to build your brand, be differentiated, be indispensable. UM, stay

1:18:32.040 --> 1:18:34.160
<v Speaker 1>close to the money. You know, find where the capital

1:18:34.280 --> 1:18:35.720
<v Speaker 1>is flowing and stay close to it. That was one

1:18:35.760 --> 1:18:38.639
<v Speaker 1>of the great early advices that I got from somebody. UM.

1:18:39.320 --> 1:18:42.120
<v Speaker 1>And and be voracious in your reading. I think you

1:18:42.160 --> 1:18:43.400
<v Speaker 1>have to be exposed to so many things so that

1:18:43.439 --> 1:18:45.320
<v Speaker 1>you can sort of develop your passion and then from

1:18:45.360 --> 1:18:47.519
<v Speaker 1>your passion development expertise and be able to stand out

1:18:47.600 --> 1:18:50.160
<v Speaker 1>so you know, all those things are in a linked UM.

1:18:50.640 --> 1:18:52.960
<v Speaker 1>And the best advice that I probably give, again with

1:18:53.080 --> 1:18:55.960
<v Speaker 1>regret to my older self, is I think you need

1:18:55.960 --> 1:18:57.439
<v Speaker 1>to find the balance between having the chip on your

1:18:57.439 --> 1:19:00.160
<v Speaker 1>shoulder and the ambition. And then UM, you know, being

1:19:00.200 --> 1:19:02.240
<v Speaker 1>mindful that every relationship you have and every person that

1:19:02.439 --> 1:19:03.920
<v Speaker 1>you know, at some point in the future, they're going

1:19:03.960 --> 1:19:06.080
<v Speaker 1>to be a call option and you don't want that

1:19:06.120 --> 1:19:09.479
<v Speaker 1>to expire. So UM, you know, be good to people.

1:19:10.280 --> 1:19:12.960
<v Speaker 1>That works for me. And our final question, what is

1:19:13.000 --> 1:19:15.639
<v Speaker 1>it that you know about the world of venture capital

1:19:15.680 --> 1:19:18.640
<v Speaker 1>investing today that you wish you knew twenty or so

1:19:18.880 --> 1:19:21.719
<v Speaker 1>years ago when you were first getting started. I wish

1:19:21.840 --> 1:19:23.400
<v Speaker 1>that I would have known and this is gonna sound

1:19:23.400 --> 1:19:27.040
<v Speaker 1>a bit cynical, how rigged the game is. Um, I

1:19:27.120 --> 1:19:29.920
<v Speaker 1>think every system at every point is rigged. And if

1:19:29.960 --> 1:19:33.519
<v Speaker 1>you can figure out you know, that little uh, you know,

1:19:33.600 --> 1:19:36.439
<v Speaker 1>mechanical turk in the machine that's pulling the con rigged

1:19:36.720 --> 1:19:42.080
<v Speaker 1>Yegg explained that a little bit every look in you know,

1:19:42.120 --> 1:19:43.880
<v Speaker 1>people thought, you know, just gotta pick the winners or whatever.

1:19:43.960 --> 1:19:46.160
<v Speaker 1>But the system was rigged. I p O s were rigged,

1:19:46.200 --> 1:19:49.280
<v Speaker 1>the distribution of IPOs was rigged. UM, you know, housing

1:19:49.320 --> 1:19:52.280
<v Speaker 1>market c d O s. There's always a game being played,

1:19:52.360 --> 1:19:55.600
<v Speaker 1>and it's and there's a a a secret that the

1:19:55.680 --> 1:19:58.880
<v Speaker 1>people who are making the most money basically keep they

1:19:58.920 --> 1:20:01.640
<v Speaker 1>won't acknowledge public until after the fact. And so I

1:20:01.720 --> 1:20:04.280
<v Speaker 1>think at any point in time in some domain it's happening.

1:20:04.360 --> 1:20:06.479
<v Speaker 1>And whether it's central bankers today, or whether it was

1:20:06.520 --> 1:20:08.880
<v Speaker 1>the housing crisis, or whether it's the soft bank stuff too,

1:20:09.240 --> 1:20:11.800
<v Speaker 1>you know today or um, that there's always some game

1:20:11.880 --> 1:20:14.720
<v Speaker 1>that's being played that is totally unfair and rigged. And

1:20:15.160 --> 1:20:19.080
<v Speaker 1>UM and to sort of appreciate that and and look forward, UM,

1:20:19.240 --> 1:20:21.160
<v Speaker 1>try to try to figure out where's the system rigged,

1:20:21.400 --> 1:20:25.720
<v Speaker 1>because it always is somewhere quite quite cynical and fantastic, fascinating.

1:20:26.200 --> 1:20:28.960
<v Speaker 1>We have been speaking with Josh. I almost called you

1:20:29.120 --> 1:20:34.040
<v Speaker 1>Josh Lux Josh Wolf, managing partner and co founder of

1:20:34.160 --> 1:20:37.639
<v Speaker 1>Lux Capital. If you enjoyed this conversation, we'll be sure

1:20:37.720 --> 1:20:39.640
<v Speaker 1>to look up an inch with down an inch and

1:20:39.920 --> 1:20:42.160
<v Speaker 1>on Apple iTunes and you can see any of the

1:20:42.560 --> 1:20:46.200
<v Speaker 1>previous two hundred and fifty such conversations we've had over

1:20:46.240 --> 1:20:50.000
<v Speaker 1>the prior five years. UH. You can find that wherever

1:20:50.200 --> 1:20:54.920
<v Speaker 1>final podcasts are sold Spotify, Apple, Google Podcasts, etcetera. We

1:20:55.040 --> 1:20:58.400
<v Speaker 1>love your comments, feedback and suggestions right to us at

1:20:59.080 --> 1:21:02.240
<v Speaker 1>m IB podcast that Bloomberg dot Net. I would be

1:21:02.360 --> 1:21:04.920
<v Speaker 1>meant remiss if I did not thank our crack staff

1:21:04.960 --> 1:21:07.960
<v Speaker 1>who helps put this together each week. Carolin O'Brien is

1:21:08.000 --> 1:21:12.280
<v Speaker 1>our audio engineer today. Michael Boyle is my producer. A

1:21:12.439 --> 1:21:15.919
<v Speaker 1>tick of Val Bronn is our project manager. Michael Batnick

1:21:16.080 --> 1:21:19.519
<v Speaker 1>is our head of research. I'm Barry Ritolts. You've been

1:21:19.600 --> 1:21:22.639
<v Speaker 1>listening to Masters in Business on Bloomberg Radio.