WEBVTT - Sam Altman Is Dangerous To Silicon Valley

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<v Speaker 1>All Zone Media.

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<v Speaker 2>Hello and welcome to Better Offline. I'm your host ed

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<v Speaker 2>ze tron. As I've discussed in the last episode, Sam

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<v Speaker 2>Mortman has spent more than a decade accumulating power and

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<v Speaker 2>wealth in Silicon Valley without ever having to actually build anything,

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<v Speaker 2>using a network of tech industry all stars like LinkedIn

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<v Speaker 2>co founder and investor Reid Hoffman and Airbnb CEO Brian

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<v Speaker 2>Chesky to insulate himself from responsibility and accountability. Yet things

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<v Speaker 2>are beginning to fall apart as years of half baked

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<v Speaker 2>ideas and terrible, terrible product decisions have kind of made

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<v Speaker 2>society sour on the tech industry, and the last month

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<v Speaker 2>has been particularly difficult for Sam, starting with the chaos

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<v Speaker 2>cause by open ai blatantly mimicking Scarlet Johansson's voice for

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<v Speaker 2>the new version of chat GPT, followed by the resignation

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<v Speaker 2>of researchers who claimed the open ai prioritized and I

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<v Speaker 2>quote shiny products over AI safety. After the dissolution of

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<v Speaker 2>open AI's safety team, I know, it's just it's almost cliche.

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<v Speaker 2>Shortly thereafter, former open ai board member Helen Toner revealed

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<v Speaker 2>that Sam Altman was fired from an open Ai because

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<v Speaker 2>of a regular pattern of deception, one where Aortman would

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<v Speaker 2>give inaccurate info about the company's safety processes on multiple occasions,

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<v Speaker 2>and his de seat was so severe the open Aiyes

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<v Speaker 2>Board only found out about the launch of chat GPT,

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<v Speaker 2>which by the way, is open a eyes first product

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<v Speaker 2>that really made money, arguably the biggest product in tech.

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<v Speaker 2>Do you want to know how they found out about it, Well,

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<v Speaker 2>they found out when they were browsing Twitter. They found

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<v Speaker 2>out then, not from the CEO of open Ai, the

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<v Speaker 2>company which they were the border very weird. Toner also

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<v Speaker 2>noted that Ortmand was an aggressi political player with the board,

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<v Speaker 2>correctly by the way, worrying the and I quote again

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<v Speaker 2>that if Sam Ortman had any inkling that the board

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<v Speaker 2>might do something that went against him, he'd pull out

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<v Speaker 2>all the stops, do everything in his power to undermine

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<v Speaker 2>the board and to prevent them from even getting to

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<v Speaker 2>the point of being able to fire him. As a reminder,

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<v Speaker 2>by the way, the board succeeded in firing Sam Mortman

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<v Speaker 2>in November last year, but not for long, with Ortmand

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<v Speaker 2>returning a CEO a few days later, kicking Helen Toner

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<v Speaker 2>off of the board along with Ilia Sudskava, a technical

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<v Speaker 2>co founder that Altman manipulated long enough to build chat

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<v Speaker 2>GBT and announced it him the moment that he chose

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<v Speaker 2>to complain. Sudskav, by the way, has resigned now He's

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<v Speaker 2>also one of the biggest technical minds though it's so

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<v Speaker 2>how is OPENAA going to continue anyway? Last week, a

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<v Speaker 2>group of insiders at various AI companies published an open

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<v Speaker 2>letter asking for their overlords, for the heads of these companies,

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<v Speaker 2>for the right to warn about advanced artificial intelligence in

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<v Speaker 2>a monument genuinely impressive monument to the bullshit machine that

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<v Speaker 2>Sam Olman has created. While there are genuine safety concerns

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<v Speaker 2>with AI, there really are, There are many of them

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<v Speaker 2>to consider. These people are desperately afraid of the computer

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<v Speaker 2>coming alive and killing them when they should fear. The

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<v Speaker 2>non technical asshole manipulate are getting rich making egregious promises

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<v Speaker 2>about what AI can do. AI researchers, you have to

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<v Speaker 2>live up to sam Ulman's promises. Sam Molton doesn't. This

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<v Speaker 2>is not your friend. The problem is not the boogeyman

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<v Speaker 2>computer coming alive. That's not happening, man. What's happening is

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<v Speaker 2>this guy is leading your industry to ruin, and the

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<v Speaker 2>bigger concern that they should have should be about what

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<v Speaker 2>Leo Ashenbrenner, a former safety researcher open ai, had to

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<v Speaker 2>say on the Duaquesh Ptel podcast, where he claimed that

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<v Speaker 2>security processes of open ai were and I quote egregiously

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<v Speaker 2>insufficient and that the priorities that the company were focused

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<v Speaker 2>on growth over stability of security. These people are afraid

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<v Speaker 2>of open ai potentially creating a computer that can think

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<v Speaker 2>for itself, that will come and kill them at a

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<v Speaker 2>time where they should be far more concerned about this

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<v Speaker 2>manipulative con artist that's running open ai. Sam Altman is

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<v Speaker 2>dangerous to artificial intelligence. Not because he's building artificial general intelligence,

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<v Speaker 2>which is a kind of AI that meets or surpasses

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<v Speaker 2>human cove capabilities by the way, kind of like data

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<v Speaker 2>from Star Trek. They're afraid of that happening when they

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<v Speaker 2>should be afraid of Aortman's focus. What does Sam Moortman

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<v Speaker 2>care about? Because the only thing I can find reading

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<v Speaker 2>about what Sam Mortman cares about is Sam Bloody Aortman.

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<v Speaker 2>And right now the progress attached to Sam Mortman actually

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<v Speaker 2>isn't looking that great. Open AI's growth is stalling, with

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<v Speaker 2>Alex Cantrewitz reporting that user growth has effectively come to

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<v Speaker 2>a halt based on a recent release claiming that chat

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<v Speaker 2>gpt had one hundred million users a couple of weeks ago,

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<v Speaker 2>which is, by the way, the exact same number that

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<v Speaker 2>the company claimed chat GPT had in November twenty twenty three.

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<v Speaker 2>Chat GPT is also a goddamn expensive product to operate,

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<v Speaker 2>with the company burning through capital at this insane rate.

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<v Speaker 2>It's definitely more than seven hundred thousand dollars a day.

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<v Speaker 2>It's got to be in the millions if not. What

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<v Speaker 2>it's insane and what open Ai is aggressively monetizing chat gbt,

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<v Speaker 2>both the customers and to businesses. It's so obviously far

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<v Speaker 2>from crossing the break even rubicon. They keep leaking and

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<v Speaker 2>they'll claim, oh, I didn't put that out there. They

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<v Speaker 2>keep telling people, oh, it's making billions of revenue, but

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<v Speaker 2>they never say profit. And eventually someone's going to turn

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<v Speaker 2>to them and say, hey, man, you can't just do

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<v Speaker 2>this for free or for negative. At some point, Sacha

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<v Speaker 2>Nadella is going to call Sam Ortman and say, Sammy, Sammy,

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<v Speaker 2>it's time, Sammy, it's got to be a real business.

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<v Speaker 2>I assume he calls him that because the supernatural. But

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<v Speaker 2>as things get desperate, Samuel was going to use the

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<v Speaker 2>only approach he really has, sheer force of will. He's

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<v Speaker 2>going to push open AI to grow and sell into

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<v Speaker 2>as many industries as possible. And he's a specious hype man.

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<v Speaker 2>He's going to be selling to other specious hype men.

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<v Speaker 2>The Jim Kramers of the world are going to eat

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<v Speaker 2>it up. And they're all all of them, the mock Bernioffs,

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<v Speaker 2>the satch In, the dell As, the sun Dapashais. They're

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<v Speaker 2>all desperate to connect themselves with the future and with

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<v Speaker 2>generative AI and those that he's selling to the company's

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<v Speaker 2>brokering deals, yes, even Apple. They're desperate to connect their

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<v Speaker 2>companies to another company which is building a bubble, a

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<v Speaker 2>bubble inflated by Sam Altman. And I'd argue that this

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<v Speaker 2>is exceedingly dangerous for Silicon Valley and for the tech

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<v Speaker 2>industry writ large, as executives that have become disconnected from

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<v Speaker 2>the process of creating software and hardware follow yet another

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<v Speaker 2>non technical founder hocking unprofitable, unsustainable, and hallucination prone software.

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<v Speaker 2>It's just very frustrating. If there was a very technical

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<v Speaker 2>mind at these companies, they might walk away. And I'm

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<v Speaker 2>not going to give Tim Cook much credit, but looking

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<v Speaker 2>into it, I can't find any evidence that Apple is

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<v Speaker 2>buying a bunch of GPUs, the things that you use

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<v Speaker 2>to power these generative AI models. I found some researcher

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<v Speaker 2>and analysts suggesting that they would buy a lot. But

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<v Speaker 2>now open Ai is doing a deal with Apple to

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<v Speaker 2>power the next iOS, and it's interesting. It is interesting

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<v Speaker 2>that Apple isn't doing this themselves. Apple a company with

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<v Speaker 2>hundreds of billions of dollars in the bank. I believe

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<v Speaker 2>that pretty much prints money. That alone makes me think

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<v Speaker 2>it's a bubble. Now it might look like an asshole

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<v Speaker 2>if it comes out they have. But also, why are

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<v Speaker 2>they subcontracting this to open ai when they could build

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<v Speaker 2>it themselves, as Apple has always done. Very strange. It's

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<v Speaker 2>all so peculiar. But I wanted to get a little

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<v Speaker 2>bit deeper into the Sam Mormon's story, And as I

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<v Speaker 2>discussed last episode, Ellen Hue of Bloomberg, she's been doing

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<v Speaker 2>this excellent reporting on the land and joins me today

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<v Speaker 2>to talk about the subject of a recent podcast. Sam

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<v Speaker 2>Olman's Rise to Power. So tell me a little bit

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<v Speaker 2>about the show are you working on?

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<v Speaker 1>The show is the new season of Foundering, which is

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<v Speaker 1>a serialized podcast from Bloomberg Technology. So this is season five,

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<v Speaker 1>and in every season we've told one story of a

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<v Speaker 1>high stakes drama in Silicon Valley. I was also the

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<v Speaker 1>host of season one, which came out several years ago,

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<v Speaker 1>was about we Work, and we've done other companies since then,

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<v Speaker 1>and season five is about Open AI and Sam Altman,

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<v Speaker 1>and I think we really tried to cover the arc

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<v Speaker 1>of the company's creation and where it is now. But

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<v Speaker 1>in doing so, we really tried to do a character

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<v Speaker 1>study of Sam Altman, like he's a very important person

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<v Speaker 1>in the tech industry right now with a lot of power,

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<v Speaker 1>and we really wanted to ask ourselves a question and

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<v Speaker 1>to help listeners ask themselves a question. Should we trust him?

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<v Speaker 1>Should we trust this person who is currently in a

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<v Speaker 1>position of a lot of influence and about whom there

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<v Speaker 1>have been very serious, you know, allegations and questions raised

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<v Speaker 1>about you know, to put it in the words of

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<v Speaker 1>the opening eyeboard, his not consistently candid behavior. And I

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<v Speaker 1>think it's, you know, my hope is that we give

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<v Speaker 1>listeners a chance to hear kind of the whole story,

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<v Speaker 1>and it's like broader, you know, when there's news that's happening,

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<v Speaker 1>it can happen so quickly it's hard to get a

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<v Speaker 1>step back. And I think what the show really does

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<v Speaker 1>is it collects a lot of information in one place,

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<v Speaker 1>and we also have lots of new information that you

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<v Speaker 1>won't hear anywhere else, and interviews with people who you know,

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<v Speaker 1>have worked with Sam, who knew him when he was younger.

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<v Speaker 1>We have an interview with Sam's sister Annie, from whom

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<v Speaker 1>he is estranged, and there's a lot of material in there.

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<v Speaker 1>I think that tries to get closer to this answer

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<v Speaker 1>of like, what should we make of this person? How

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<v Speaker 1>should we think about checks and balances of power when

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<v Speaker 1>we have these companies that are, by all appearances, gathering

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<v Speaker 1>a lot of power and there for the people who

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<v Speaker 1>are running them have a lot of power as well.

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<v Speaker 1>So we have it's a five episode arc, five episode season,

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<v Speaker 1>and the first three episodes are out now to the

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<v Speaker 1>general public, and the last two will come out on

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<v Speaker 1>subsequent Thursdays, And if you would like to binge the

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<v Speaker 1>whole season right away, The episodes are available early to

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<v Speaker 1>Bloomberg dot Com subscribers.

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<v Speaker 2>So you've just started this series about Sam Altman and

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<v Speaker 2>his upbringing indoors, so the growth of open ai and

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<v Speaker 2>looped and everything. Who are the people that have helped

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<v Speaker 2>him get where he is today?

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<v Speaker 1>Though, So the making of Sam Altman is really interesting

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<v Speaker 1>part of the overall story of Sam Altman. You know,

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<v Speaker 1>many people know him as the CEO of open Ai

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<v Speaker 1>because that's the role he's been in when he has

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<v Speaker 1>risen to prominence, you know, beyond Silicon Valley. Like I

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<v Speaker 1>think for many years he was well known in Silicon Valley,

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<v Speaker 1>but this is like now he's kind of a household name,

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<v Speaker 1>and so it's important to understand where Sam came from.

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<v Speaker 1>You know, he's been in the valley for you know,

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<v Speaker 1>since two thousand and five, I think is when he

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<v Speaker 1>started college two thousand and four, two thousand and five

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<v Speaker 1>at Stanford. Then he dropped out, and then he joined

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<v Speaker 1>y Combinator, the now famous startup accelerator. But he was

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<v Speaker 1>actually part of the first cohort of founders ever in

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<v Speaker 1>n YC. Along with which as well right yes, including

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<v Speaker 1>the the co founders of Twitch and of Reddit and

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<v Speaker 1>so Emmett Sheer, you know, for those who know Emmit

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<v Speaker 1>Sheer has a like very short, seventy two hour cameo

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<v Speaker 1>in the open AI very Sam been firing Saga. But yes,

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<v Speaker 1>Emmett and Sam were both in the same y C batch.

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<v Speaker 1>So when we think about Sam's early career in Silicon Valley,

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<v Speaker 1>I think what's important to know is that he rose

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<v Speaker 1>very quickly, in part because he was very successful in

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<v Speaker 1>making these strategic, advantageous friendships and connections with already established

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<v Speaker 1>people in the valley. The most important one is Paul Graham,

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<v Speaker 1>who is the you know, one of the founders of

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<v Speaker 1>y Combinator and you know basically like immediately took Sam

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<v Speaker 1>under his wing when Sam joined this first batch of YC.

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<v Speaker 1>And yeah, Paul's a really important mentor to Sam. He's

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<v Speaker 1>kind of the first person who really sees in Sam

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<v Speaker 1>this you know, ambition, this hunger for power, this like

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<v Speaker 1>drive to really build bigger and bigger companies. Even when

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<v Speaker 1>you know they met when Sam Altman was nineteen, so

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<v Speaker 1>Paul like sees him as a teenager and sees this

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<v Speaker 1>future potential. And so yes, you know, not only did

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<v Speaker 1>Paul become a mentor to him and sort of helped

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<v Speaker 1>build Sam's profile over those early years because he would

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<v Speaker 1>you know, Paul Graham is very famous for writing these

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<v Speaker 1>essays about how to build startups and how to build

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<v Speaker 1>the best startups, and if you're at all interested in

0:13:18.240 --> 0:13:20.400
<v Speaker 1>building startups, you've read many of them. They're kind of

0:13:20.440 --> 0:13:23.520
<v Speaker 1>like almost like a startup bible. And in many of

0:13:23.520 --> 0:13:26.400
<v Speaker 1>them he extols the virtues of Sam Altman. He talks

0:13:26.400 --> 0:13:30.120
<v Speaker 1>about Sam's ambition, he talks about Sam's cunning, his ability

0:13:30.160 --> 0:13:32.880
<v Speaker 1>to like you know, make deals and like think big

0:13:32.920 --> 0:13:33.520
<v Speaker 1>and never.

0:13:33.400 --> 0:13:36.240
<v Speaker 2>Actually think Sam Motman is done, is what I've found.

0:13:36.720 --> 0:13:39.360
<v Speaker 1>Yeah, there are some interesting you know, I've read many

0:13:39.400 --> 0:13:41.680
<v Speaker 1>of the things Paul has written about Sam. Some of

0:13:41.679 --> 0:13:47.240
<v Speaker 1>my favorite ones include Paul writing that within three minutes

0:13:47.240 --> 0:13:50.680
<v Speaker 1>of meeting Sam, this was when Sam was nineteen, Paul

0:13:50.760 --> 0:13:53.600
<v Speaker 1>thought to himself, Ah, so this is what a young

0:13:53.800 --> 0:13:55.679
<v Speaker 1>Bill Gates is like, or you know, this is what

0:13:55.720 --> 0:13:57.480
<v Speaker 1>Bill Gates was like at nineteen, I think is the

0:13:57.520 --> 0:13:59.840
<v Speaker 1>exact quote. So, you know, he really build him up

0:13:59.840 --> 0:14:02.480
<v Speaker 1>in the way. And I do think Paul had like

0:14:02.600 --> 0:14:05.360
<v Speaker 1>unique insight into Sam, like they were close. They in

0:14:05.400 --> 0:14:08.920
<v Speaker 1>many ways I'm sure still are, but it is this

0:14:09.040 --> 0:14:12.160
<v Speaker 1>interesting role where you know, Paul met Sam when he

0:14:12.240 --> 0:14:13.840
<v Speaker 1>really didn't have much to his name, and he really

0:14:13.840 --> 0:14:16.920
<v Speaker 1>elevated him early on through his writings as this like

0:14:17.040 --> 0:14:19.720
<v Speaker 1>startup founder to emulate right that other founders should be

0:14:19.760 --> 0:14:22.840
<v Speaker 1>emulating Sam. And then of course, as Sam progresses in

0:14:22.880 --> 0:14:26.320
<v Speaker 1>the valley, he also starts to write these like startup

0:14:27.080 --> 0:14:32.080
<v Speaker 1>wisdom essays in a similar style to Paul. And then,

0:14:32.120 --> 0:14:33.960
<v Speaker 1>of course, the most important thing that happens is that

0:14:34.000 --> 0:14:36.920
<v Speaker 1>in twenty fourteen, when Paul decides he no longer wants

0:14:36.960 --> 0:14:39.040
<v Speaker 1>to run by Combinator, which at this point is a

0:14:39.120 --> 0:14:41.640
<v Speaker 1>much bigger vehicle than it was when Sam first started.

0:14:41.640 --> 0:14:43.720
<v Speaker 1>It has no longer just a few stops totally. It

0:14:43.720 --> 0:14:48.080
<v Speaker 1>has produced Stripe, Dropbox, Airbnb. This is a big job, right,

0:14:48.160 --> 0:14:51.080
<v Speaker 1>like running y Combinator. And when Paul wants to hand

0:14:51.120 --> 0:14:52.920
<v Speaker 1>it off to someone, you know, he has said that

0:14:52.960 --> 0:14:55.840
<v Speaker 1>the only person he considered giving this to was Sam.

0:14:55.880 --> 0:14:58.720
<v Speaker 1>So in twenty fourteen, when Sam is I believe twenty

0:14:58.760 --> 0:15:02.120
<v Speaker 1>eight years old, he becomes the president of Y Combinator,

0:15:02.120 --> 0:15:04.360
<v Speaker 1>and this is you know, he had started a startup,

0:15:04.400 --> 0:15:07.480
<v Speaker 1>it didn't really work, he sold it and was starting

0:15:07.520 --> 0:15:10.480
<v Speaker 1>to tabble in angel investing, and at that point Paul

0:15:10.560 --> 0:15:14.080
<v Speaker 1>really elevated Sam to this new position of power. And

0:15:14.120 --> 0:15:16.560
<v Speaker 1>then he ran YC for a while and then started

0:15:16.560 --> 0:15:20.200
<v Speaker 1>open Ai. And in starting open Ai, he also leveraged

0:15:20.240 --> 0:15:24.920
<v Speaker 1>these like very useful connections with particularly powerful people who

0:15:24.920 --> 0:15:27.520
<v Speaker 1>could help him, such as Elon Musk, who was able

0:15:27.560 --> 0:15:30.840
<v Speaker 1>to give the vast majority of the pledged funding to

0:15:30.920 --> 0:15:35.680
<v Speaker 1>start open Ai. Later, when Elon Musk splits from open Ai,

0:15:35.880 --> 0:15:39.080
<v Speaker 1>Sam makes his very powerful partnership with Satya Nadella to

0:15:39.120 --> 0:15:42.880
<v Speaker 1>help fund open Ai. Another important partnership that Sam has made,

0:15:43.320 --> 0:15:46.080
<v Speaker 1>you know, much earlier on was his friendship with Peter

0:15:46.240 --> 0:15:48.360
<v Speaker 1>Teel And one of the things Peter Teal does is

0:15:48.400 --> 0:15:53.440
<v Speaker 1>also you know, gives him millions of dollars to start investing.

0:15:53.760 --> 0:15:56.880
<v Speaker 1>This is like before Sam takes over at y Yeah.

0:15:56.920 --> 0:15:59.680
<v Speaker 1>And you know another thing that Paul did that really

0:16:00.200 --> 0:16:03.240
<v Speaker 1>Paul Graham did that really helped Sam was also he

0:16:03.280 --> 0:16:06.080
<v Speaker 1>gave Paul had the opportunity to be one of the

0:16:06.080 --> 0:16:09.800
<v Speaker 1>first investors in Stripe. He was offered the chance to

0:16:09.920 --> 0:16:13.160
<v Speaker 1>invest thirty thousand dollars for four percent of Stripe, which,

0:16:13.200 --> 0:16:16.520
<v Speaker 1>of course, now that Stripe is enormous we all know

0:16:16.560 --> 0:16:19.800
<v Speaker 1>how valuable that was, and Paul split it with Sam.

0:16:19.840 --> 0:16:21.960
<v Speaker 1>He was like, oh, I might as well share this

0:16:22.040 --> 0:16:24.920
<v Speaker 1>with Sam. So Sam has said that that fifteen thousand

0:16:24.920 --> 0:16:27.760
<v Speaker 1>dollars for a two percent of Stripe has been, you know,

0:16:28.120 --> 0:16:30.120
<v Speaker 1>one of his best performing angel investments ever.

0:16:30.160 --> 0:16:32.120
<v Speaker 2>That was something he question is always where he got

0:16:32.120 --> 0:16:35.800
<v Speaker 2>fifteen grand from. He was still working on Looped at

0:16:35.800 --> 0:16:38.280
<v Speaker 2>the time. It's funny how perfletrip anyway.

0:16:38.400 --> 0:16:43.160
<v Speaker 1>Yeah, my guess is fifteen grand was I don't actually

0:16:43.160 --> 0:16:44.880
<v Speaker 1>know this, but my guess is fifteen perllen was not

0:16:45.040 --> 0:16:47.000
<v Speaker 1>hard for him to pull up. And it's one of

0:16:47.000 --> 0:16:49.480
<v Speaker 1>those things where it's really is, you know, access to

0:16:50.560 --> 0:16:52.880
<v Speaker 1>access and relationships are the sorts of things that can

0:16:52.920 --> 0:16:55.600
<v Speaker 1>build a career and can lead to great wealth, right

0:16:55.640 --> 0:16:58.680
<v Speaker 1>like Sam is now you know, by our own internal

0:16:58.680 --> 0:17:02.240
<v Speaker 1>accounts and by other lists billionaire. And this money comes

0:17:02.280 --> 0:17:04.600
<v Speaker 1>from you know, not from open AI, but from these

0:17:04.600 --> 0:17:07.680
<v Speaker 1>angel investments that he's made early on that have been

0:17:08.080 --> 0:17:09.119
<v Speaker 1>enormously successful.

0:17:10.040 --> 0:17:12.639
<v Speaker 2>So you called him in one of the titles, the

0:17:12.680 --> 0:17:15.600
<v Speaker 2>Most Silicon Valley Man Alive. Is this what you're getting at,

0:17:15.600 --> 0:17:17.560
<v Speaker 2>this kind of power player mentality?

0:17:17.680 --> 0:17:20.840
<v Speaker 1>Yeah, I think it's it reflects a few things. One

0:17:20.920 --> 0:17:24.439
<v Speaker 1>that even though he's you know, he's in his late thirties,

0:17:24.440 --> 0:17:26.960
<v Speaker 1>he's been a player in Silicon Valley for such a

0:17:26.960 --> 0:17:30.960
<v Speaker 1>long time, you know, close to two decades. And also

0:17:31.040 --> 0:17:34.399
<v Speaker 1>that he's just someone who is extremely well connected. So

0:17:35.480 --> 0:17:38.520
<v Speaker 1>even before he took over Y Combinator, which I think

0:17:38.800 --> 0:17:42.119
<v Speaker 1>you could argue is like kind of king of the

0:17:42.119 --> 0:17:44.639
<v Speaker 1>startup world in some sense, like Y Combinators, like you know,

0:17:44.680 --> 0:17:49.080
<v Speaker 1>the topics totally, even before he took over I Y Comminator,

0:17:49.080 --> 0:17:51.160
<v Speaker 1>I think he was extremely well connected. He's very social,

0:17:51.240 --> 0:17:53.679
<v Speaker 1>he's very helpful, he's very efficient, Like many people have

0:17:53.760 --> 0:17:57.240
<v Speaker 1>told me stories in which he, you know, calling Sam

0:17:57.560 --> 0:18:00.800
<v Speaker 1>and talking for five minutes has saw their problem because

0:18:00.800 --> 0:18:02.959
<v Speaker 1>he knows exactly the right person to call to fix it,

0:18:03.119 --> 0:18:04.920
<v Speaker 1>or you know, he's really good at making deals. I

0:18:04.920 --> 0:18:07.800
<v Speaker 1>think it's just clear he's extremely well integrated into this

0:18:07.840 --> 0:18:15.280
<v Speaker 1>world and has very successfully moved up the Silicon Valley

0:18:15.280 --> 0:18:18.240
<v Speaker 1>status ladder to the point where he is now, which

0:18:18.240 --> 0:18:20.520
<v Speaker 1>is kind of you know, one of the you know,

0:18:20.560 --> 0:18:23.479
<v Speaker 1>he's the CEO of the one of the arguably hottest

0:18:23.480 --> 0:18:25.800
<v Speaker 1>companies in the valley right now, and I think that

0:18:25.800 --> 0:18:27.959
<v Speaker 1>that's not luck right, Like he didn't just come up

0:18:27.960 --> 0:18:29.960
<v Speaker 1>with He's not like a nobody who came up with

0:18:30.000 --> 0:18:32.720
<v Speaker 1>an idea. It's like he has the connections and has

0:18:32.720 --> 0:18:36.200
<v Speaker 1>parlayed his connections into power to bring him to the

0:18:36.240 --> 0:18:37.040
<v Speaker 1>point he is now.

0:18:38.160 --> 0:18:41.479
<v Speaker 2>So in your experience talking to people about Sam Altman,

0:18:42.280 --> 0:18:45.359
<v Speaker 2>how technical is he? Do you think? What if you heard?

0:18:45.440 --> 0:18:48.720
<v Speaker 2>Because you say, there he wasn't lucky, But he also

0:18:48.800 --> 0:18:52.080
<v Speaker 2>does not appear to have successfully run a business because

0:18:52.160 --> 0:18:55.600
<v Speaker 2>Luke shut down two people, well, two executives tried to

0:18:55.600 --> 0:18:57.840
<v Speaker 2>get him fired from there. He got fired from y Combinator,

0:18:58.040 --> 0:18:59.920
<v Speaker 2>which did very well. But at the same time, why

0:19:00.119 --> 0:19:02.800
<v Speaker 2>he was basically a convey about for money at one point,

0:19:03.000 --> 0:19:07.040
<v Speaker 2>not so much recently. Yeah, it just it feels weird

0:19:07.040 --> 0:19:10.520
<v Speaker 2>that this completely non technical, semi non technical guy has

0:19:10.520 --> 0:19:11.640
<v Speaker 2>ascended so far.

0:19:12.880 --> 0:19:15.760
<v Speaker 1>My sense is that's not maybe the most fair description.

0:19:15.880 --> 0:19:18.680
<v Speaker 1>Like I think Sam is incredibly smart, and people say

0:19:18.720 --> 0:19:20.639
<v Speaker 1>this a lot, and you know, I believe them. I

0:19:20.680 --> 0:19:24.040
<v Speaker 1>think his special skill, you know, he obviously knows how

0:19:24.080 --> 0:19:26.800
<v Speaker 1>to like he's an engineer, he has training. I'm sure

0:19:26.800 --> 0:19:28.600
<v Speaker 1>he can build a lot of stuff. It seems like

0:19:28.680 --> 0:19:33.480
<v Speaker 1>his comparative advantage, his special skill is relationships, deal making,

0:19:34.000 --> 0:19:38.160
<v Speaker 1>figuring out who exactly is the right person to help

0:19:38.240 --> 0:19:40.720
<v Speaker 1>him in whatever he's really trying to get done, and

0:19:40.760 --> 0:19:43.760
<v Speaker 1>figuring out the best way to get something to happen.

0:19:44.200 --> 0:19:45.720
<v Speaker 1>You know, one of the people I spoke to is

0:19:45.760 --> 0:19:48.919
<v Speaker 1>someone who knows Sam from when he was younger and

0:19:48.960 --> 0:19:53.919
<v Speaker 1>knows him personally, and said that his superpower is figuring

0:19:53.920 --> 0:19:56.119
<v Speaker 1>out who's in charge or figuring out who is in

0:19:56.119 --> 0:19:58.560
<v Speaker 1>the best position to help him, and then charming them

0:19:58.640 --> 0:20:02.440
<v Speaker 1>so that they help him with whatever goal he's trying

0:20:02.480 --> 0:20:05.200
<v Speaker 1>to get done. And I think that, like, yeah, one

0:20:05.200 --> 0:20:07.359
<v Speaker 1>could argue that that's actually a really good skill set

0:20:08.240 --> 0:20:10.840
<v Speaker 1>if you want to build a very big company, which

0:20:13.200 --> 0:20:14.800
<v Speaker 1>you know, I think at this current moment he has

0:20:14.880 --> 0:20:19.000
<v Speaker 1>right like opening eyes. Really, you know, you can there's

0:20:19.040 --> 0:20:21.280
<v Speaker 1>a lot that you can say about whether they're upholding

0:20:21.280 --> 0:20:23.600
<v Speaker 1>their original mission or that. You know, that's up for debate,

0:20:23.640 --> 0:20:29.200
<v Speaker 1>But I think that they've obviously been commercially successful so far, so.

0:20:30.040 --> 0:20:33.560
<v Speaker 2>It feels like Silicon Valley on some level. And I

0:20:33.800 --> 0:20:36.760
<v Speaker 2>just to give some thoughts here within the two episodes

0:20:36.760 --> 0:20:39.679
<v Speaker 2>I'm doing here, the pattern I've seen with Sam Oltman

0:20:40.200 --> 0:20:44.040
<v Speaker 2>is that everyone seems to want him to win, and

0:20:44.080 --> 0:20:47.600
<v Speaker 2>there's almost a degree of they will make it. So

0:20:49.200 --> 0:20:52.879
<v Speaker 2>have you seen anyone who's really a detractor or anyone

0:20:52.880 --> 0:20:57.960
<v Speaker 2>who's not pro Sam Oltman, because it's interesting how few

0:20:57.960 --> 0:20:59.399
<v Speaker 2>people are in tech.

0:21:00.480 --> 0:21:03.440
<v Speaker 1>Well there is. I won't get too into it because

0:21:03.440 --> 0:21:05.440
<v Speaker 1>this is in some of the future episodes which will

0:21:05.520 --> 0:21:09.320
<v Speaker 1>drop in future weeks, but you know, I would say

0:21:09.359 --> 0:21:12.000
<v Speaker 1>in in in some of the conversations that I've had

0:21:12.080 --> 0:21:15.439
<v Speaker 1>off the record about people about in some of the

0:21:15.440 --> 0:21:17.960
<v Speaker 1>conversations I've had off the record with people about Sam,

0:21:18.720 --> 0:21:22.080
<v Speaker 1>I think, you know, my general impressions are people often

0:21:22.160 --> 0:21:24.760
<v Speaker 1>do find him impressive in terms of what he has

0:21:24.800 --> 0:21:28.600
<v Speaker 1>gotten done, you know, the size and scale of his

0:21:28.640 --> 0:21:30.800
<v Speaker 1>ambitions and the way that he has generally been able

0:21:30.840 --> 0:21:36.240
<v Speaker 1>to make that happen. I think there's also a lot

0:21:36.240 --> 0:21:39.280
<v Speaker 1>of people who you know, are willing to privately share

0:21:39.480 --> 0:21:43.960
<v Speaker 1>some gripes that they might have about him. Also, you know,

0:21:44.040 --> 0:21:46.560
<v Speaker 1>in recent weeks we've seen people be a lot more

0:21:46.600 --> 0:21:48.960
<v Speaker 1>public about some of those gripes. We have Helen Toner,

0:21:49.760 --> 0:21:52.720
<v Speaker 1>a former former board member at open AI who voted

0:21:52.720 --> 0:21:56.200
<v Speaker 1>to remove Sam last November, saying publicly in the last

0:21:56.240 --> 0:21:58.960
<v Speaker 1>few weeks that Sam lied to her and the other

0:21:59.000 --> 0:22:03.439
<v Speaker 1>former board members that his you know, misdirection made them

0:22:03.440 --> 0:22:07.119
<v Speaker 1>feel like they couldn't do their jobs. And she has

0:22:07.119 --> 0:22:11.720
<v Speaker 1>also said that people were intimidated to the point where

0:22:11.720 --> 0:22:14.560
<v Speaker 1>they did not feel comfortable speaking more publicly about negative

0:22:14.600 --> 0:22:18.000
<v Speaker 1>experiences they'd had about Sam, that they are afraid to

0:22:18.040 --> 0:22:21.800
<v Speaker 1>speak more publicly about you know, times that he has

0:22:21.840 --> 0:22:24.560
<v Speaker 1>not been honest with them or you know, has in

0:22:24.600 --> 0:22:29.240
<v Speaker 1>which they've had challenging experiences. And that has also been

0:22:29.280 --> 0:22:31.399
<v Speaker 1>reflected in some of the private conversations I've had in

0:22:31.440 --> 0:22:35.239
<v Speaker 1>which people you know, they might have complaints or they

0:22:35.280 --> 0:22:38.199
<v Speaker 1>might have had like challenging situations with him, and I

0:22:38.240 --> 0:22:40.600
<v Speaker 1>think they just feel like the risk calculus is not

0:22:40.640 --> 0:22:43.360
<v Speaker 1>worth it to come out and say something like that.

0:22:43.520 --> 0:22:47.880
<v Speaker 1>But you know, there have been bits and pieces where

0:22:47.920 --> 0:22:50.720
<v Speaker 1>people have come out and said things that you know,

0:22:50.800 --> 0:22:52.960
<v Speaker 1>Sam has. You know. Another thing that the board members

0:22:53.000 --> 0:22:56.240
<v Speaker 1>have said was that Sam had been deceptive and manipulative,

0:22:56.760 --> 0:22:59.679
<v Speaker 1>and that's also followed up by or not followed up.

0:22:59.840 --> 0:23:01.960
<v Speaker 1>There was also I think back in November, a former

0:23:02.000 --> 0:23:05.280
<v Speaker 1>open ai employee who had tweeted something publicly about that

0:23:06.359 --> 0:23:08.120
<v Speaker 1>you know, saying that Sam had lied to him on occasion,

0:23:08.119 --> 0:23:10.480
<v Speaker 1>even though he had also always been nice to him,

0:23:10.520 --> 0:23:12.920
<v Speaker 1>which I think is a very interesting combination of.

0:23:14.920 --> 0:23:18.400
<v Speaker 2>That Silicon Valley though, I'm afraid of dealing with them,

0:23:18.440 --> 0:23:19.720
<v Speaker 2>but they were so nice to me.

0:23:21.000 --> 0:23:22.600
<v Speaker 1>And yeah, of course that you know that person has

0:23:22.640 --> 0:23:25.800
<v Speaker 1>not elaborated more publicly about what they meant. But I

0:23:25.800 --> 0:23:28.840
<v Speaker 1>think I think, you know, I think this is why

0:23:28.880 --> 0:23:33.560
<v Speaker 1>people are asking themselves these questions, which is like, you know,

0:23:33.600 --> 0:23:36.680
<v Speaker 1>the more that we hear about what the board uh

0:23:37.440 --> 0:23:39.640
<v Speaker 1>was thinking before they decided to fire Sam, I think

0:23:39.640 --> 0:23:42.120
<v Speaker 1>the more people are wondering about what are the patterns

0:23:42.119 --> 0:23:46.080
<v Speaker 1>of behavior that he shows that you know that led

0:23:46.080 --> 0:23:48.280
<v Speaker 1>to the board trying to make this drastic move.

0:23:50.000 --> 0:23:54.800
<v Speaker 2>Yeah, that's actually an interesting point. So when Samulton was

0:23:54.880 --> 0:23:58.760
<v Speaker 2>fired from open AI, there was this very strange reaction

0:23:58.960 --> 0:24:02.520
<v Speaker 2>from Silicon Valley, including some in the media, where it

0:24:02.720 --> 0:24:07.920
<v Speaker 2>was almost like a tounga Games everyone doing the symbol

0:24:08.000 --> 0:24:09.920
<v Speaker 2>thing where everyone's like, oh, we got to put sam

0:24:09.920 --> 0:24:13.600
<v Speaker 2>otment back in, isn't it kind of strange? We still

0:24:13.640 --> 0:24:16.320
<v Speaker 2>don't know why he was actually fired, though, I mean,

0:24:16.320 --> 0:24:19.800
<v Speaker 2>Helen Tona has elaborated like I've never seen a have

0:24:19.840 --> 0:24:21.439
<v Speaker 2>you seen anything like this? In your career.

0:24:22.080 --> 0:24:26.000
<v Speaker 1>I think that it has been surprising that there has

0:24:26.080 --> 0:24:31.760
<v Speaker 1>not been more of a clear answer. I think, you know,

0:24:31.800 --> 0:24:35.080
<v Speaker 1>as as time has gone on, like we have heard

0:24:35.119 --> 0:24:38.160
<v Speaker 1>a little bit more like I think Helen Toner has,

0:24:39.000 --> 0:24:42.120
<v Speaker 1>you know, to her credit, tried to give more information

0:24:42.359 --> 0:24:46.479
<v Speaker 1>in recent weeks about what happened. I think, you know,

0:24:46.800 --> 0:24:49.639
<v Speaker 1>people were obviously asking this question six months ago, and

0:24:49.680 --> 0:24:51.119
<v Speaker 1>so I think like there's been a little bit of

0:24:51.160 --> 0:24:55.320
<v Speaker 1>a delay and trying to get this this answer, and

0:24:55.359 --> 0:24:57.880
<v Speaker 1>I wonder if maybe there just isn't like a very

0:24:59.560 --> 0:25:02.200
<v Speaker 1>neat answer to it, and so and then in that

0:25:02.800 --> 0:25:07.080
<v Speaker 1>absence we get this kind of more of a like murky, multifaceted,

0:25:07.160 --> 0:25:09.879
<v Speaker 1>multi voiced answer. But I yes, I agree that it

0:25:10.160 --> 0:25:12.440
<v Speaker 1>is sort of surprising that there that there hasn't been

0:25:13.280 --> 0:25:17.959
<v Speaker 1>more clarification on what exactly happened or a little bit

0:25:18.040 --> 0:25:22.080
<v Speaker 1>more granular detail about what led up to it.

0:25:23.359 --> 0:25:26.560
<v Speaker 2>So on today, I aihype in general said that a

0:25:26.560 --> 0:25:29.800
<v Speaker 2>bit weird. I'll keep going, why do you think there's

0:25:29.840 --> 0:25:32.760
<v Speaker 2>such a dolf between what Sam Altman says and what

0:25:32.880 --> 0:25:34.520
<v Speaker 2>chat GPT can actually do?

0:25:35.760 --> 0:25:38.480
<v Speaker 1>What Sam Altman says, what are you talking about specifically.

0:25:38.040 --> 0:25:40.400
<v Speaker 2>As in he says it will be a super smart company. Yeah,

0:25:40.440 --> 0:25:42.200
<v Speaker 2>yeh yeah, that he'll be all of these things.

0:25:42.960 --> 0:25:45.280
<v Speaker 1>Well, this is something that we get into in episode three,

0:25:45.280 --> 0:25:47.600
<v Speaker 1>which is a personal interest of mine, which is kind

0:25:47.640 --> 0:25:51.399
<v Speaker 1>of the psychology of the AI industry right now. And

0:25:52.280 --> 0:25:55.399
<v Speaker 1>you know, I what I find so interesting about this

0:25:55.440 --> 0:25:58.120
<v Speaker 1>and what we try to delve into in episode three

0:25:58.160 --> 0:26:01.639
<v Speaker 1>and kind of throughout the series is these kind of

0:26:01.680 --> 0:26:05.200
<v Speaker 1>like extreme projections about AI and in the industry, you

0:26:05.240 --> 0:26:07.840
<v Speaker 1>see both positive ones and negative ones, and I think,

0:26:08.080 --> 0:26:11.440
<v Speaker 1>you know, the negative ones, that's what looks like AI dooomerism,

0:26:11.560 --> 0:26:15.159
<v Speaker 1>AI existential risks, sometimes called AI safety depending on your

0:26:15.160 --> 0:26:17.240
<v Speaker 1>point of view. But you know, it's these projections that

0:26:18.200 --> 0:26:23.800
<v Speaker 1>you know, superintelligence might very quickly and very soon learn

0:26:23.920 --> 0:26:27.639
<v Speaker 1>to self improve in a way that allows it to

0:26:27.800 --> 0:26:31.200
<v Speaker 1>rapidly outstrip our control and our capabilities and could lead

0:26:31.240 --> 0:26:34.959
<v Speaker 1>to the extinction of humanity. There are so many interesting

0:26:34.960 --> 0:26:38.160
<v Speaker 1>things to say about the psychology of believing that our

0:26:38.240 --> 0:26:41.760
<v Speaker 1>human race might either be wiped out or incredibly changed

0:26:42.680 --> 0:26:46.320
<v Speaker 1>within our lifetimes, and we get into that in episode three.

0:26:46.359 --> 0:26:48.560
<v Speaker 1>I think I really wanted to get into the psychology

0:26:48.560 --> 0:26:51.359
<v Speaker 1>of someone who believes that AI doom is just around

0:26:51.400 --> 0:26:53.840
<v Speaker 1>the corner. And so we talked to someone who sort

0:26:53.840 --> 0:26:56.920
<v Speaker 1>of became convinced of this belief soon after the twenty

0:26:56.920 --> 0:27:02.160
<v Speaker 1>sixteen alphag Matches in which the go playing AI beat

0:27:02.200 --> 0:27:05.320
<v Speaker 1>the you know, the world's champion in Go and he

0:27:05.359 --> 0:27:07.720
<v Speaker 1>talks about yeah, no longer, you know, deciding not to

0:27:07.840 --> 0:27:09.960
<v Speaker 1>make a retirement account because he was like, what is

0:27:10.000 --> 0:27:13.880
<v Speaker 1>the point by the time I reach retirement age, either

0:27:14.000 --> 0:27:16.960
<v Speaker 1>the world will be dramatically different and money won't matter,

0:27:17.040 --> 0:27:19.880
<v Speaker 1>or will all be dead? And and I think that

0:27:20.280 --> 0:27:22.119
<v Speaker 1>even though some people might scoff at that, that's like

0:27:22.119 --> 0:27:25.679
<v Speaker 1>a real belief that people believe that this, you know,

0:27:25.760 --> 0:27:29.800
<v Speaker 1>these extreme possible scenarios are in our near future. And

0:27:29.880 --> 0:27:32.520
<v Speaker 1>on the other hand, we also see extreme projections in

0:27:33.000 --> 0:27:36.159
<v Speaker 1>a positive direction. You know, this idea that AI is

0:27:36.200 --> 0:27:41.920
<v Speaker 1>going to unlock a whole new era of human flourishing,

0:27:42.000 --> 0:27:44.880
<v Speaker 1>that we might expand beyond our planet, that we might

0:27:44.920 --> 0:27:49.400
<v Speaker 1>be able to give say what abundant abundance right exactly?

0:27:49.440 --> 0:27:52.880
<v Speaker 1>You know. One of the things we do I believe

0:27:52.920 --> 0:27:54.879
<v Speaker 1>in episode three is is do a little bit of

0:27:54.920 --> 0:27:57.320
<v Speaker 1>a supercut of Sam all been talking about abundance. It's

0:27:57.359 --> 0:27:59.840
<v Speaker 1>it's pretty clear that This is a way that he

0:27:59.880 --> 0:28:02.320
<v Speaker 1>likes to frame our AI future is going to be

0:28:02.320 --> 0:28:05.280
<v Speaker 1>this future in which everyone has plenty, right, everyone has

0:28:06.480 --> 0:28:10.000
<v Speaker 1>you know, access to intelligence, abundant energy, abundant access to

0:28:10.920 --> 0:28:13.240
<v Speaker 1>superintelligence that can help us live kind of our best

0:28:13.280 --> 0:28:18.800
<v Speaker 1>lives and beyond our wildest dreams. Right. And I you know,

0:28:18.960 --> 0:28:22.639
<v Speaker 1>obviously Silicon Valley is a place where people like to

0:28:22.840 --> 0:28:26.480
<v Speaker 1>make grandiose statements. But this is beyond that, right, This

0:28:26.600 --> 0:28:30.119
<v Speaker 1>is not just this is not just like you know,

0:28:30.160 --> 0:28:32.840
<v Speaker 1>we joked about we work, We works. Mission statement was

0:28:32.880 --> 0:28:37.160
<v Speaker 1>to elevate the world's consciousness. Like well, galaxies of human

0:28:37.200 --> 0:28:41.080
<v Speaker 1>flourishing for eons beyond us. Like that is on another scale, right,

0:28:41.160 --> 0:28:45.280
<v Speaker 1>Like we're talking about something that is sort of at

0:28:45.320 --> 0:28:49.040
<v Speaker 1>an unprecedented level of extreme rhetoric. And I think that's

0:28:49.040 --> 0:28:52.160
<v Speaker 1>really interesting. I think it is a very powerful motivator,

0:28:52.200 --> 0:28:54.520
<v Speaker 1>both in a you know, in the doumer sense and

0:28:54.560 --> 0:28:57.240
<v Speaker 1>also in the abundance sense. People believing that what they're

0:28:57.240 --> 0:29:01.200
<v Speaker 1>working on is the most important technological leap forward for humanity.

0:29:02.080 --> 0:29:07.760
<v Speaker 1>Talk about a motivating reason to work on this technology, right,

0:29:07.800 --> 0:29:10.800
<v Speaker 1>talk about a way to feel powerful, feel like you're

0:29:10.840 --> 0:29:13.040
<v Speaker 1>making a huge difference. I think that's a really key

0:29:13.080 --> 0:29:16.240
<v Speaker 1>part of what's driving a lot of work in AI

0:29:16.360 --> 0:29:16.720
<v Speaker 1>right now.

0:29:17.480 --> 0:29:20.640
<v Speaker 2>Striving a lot of work, sure, but with Aortman himself,

0:29:21.240 --> 0:29:25.560
<v Speaker 2>there is this golf. It is a million mile golf

0:29:25.600 --> 0:29:28.400
<v Speaker 2>between the things he says and what chat GBT is

0:29:28.440 --> 0:29:31.760
<v Speaker 2>even even on the most basic level capable of doing

0:29:31.840 --> 0:29:34.800
<v Speaker 2>and will be capable. And it just feels like it

0:29:34.840 --> 0:29:39.280
<v Speaker 2>almost feels like he's become the propagandist for the tech industry.

0:29:40.600 --> 0:29:44.160
<v Speaker 2>And it's very strange to me how far that distance is.

0:29:44.200 --> 0:29:48.520
<v Speaker 2>Because you've got the AI doomers and the AI optimist

0:29:48.520 --> 0:29:52.680
<v Speaker 2>I guess you'd call them. But Aortmand doesn't even feel

0:29:52.720 --> 0:29:55.240
<v Speaker 2>like he's in with He's just kind of He'll say

0:29:55.320 --> 0:29:57.560
<v Speaker 2>one day that he doesn't think it's a creature, the

0:29:57.640 --> 0:29:59.400
<v Speaker 2>next one will say it's going to kill us, or

0:30:00.080 --> 0:30:04.200
<v Speaker 2>all just feels like a pr campaign but for nothing.

0:30:05.600 --> 0:30:09.400
<v Speaker 1>Yeah, it has been interesting to try to answer the question,

0:30:09.440 --> 0:30:10.840
<v Speaker 1>you know, one of the questions we tried to answer

0:30:10.840 --> 0:30:14.600
<v Speaker 1>in the podcast is does Sam actually believe you know,

0:30:14.680 --> 0:30:17.560
<v Speaker 1>because as you mentioned, there are some early clips of him,

0:30:17.720 --> 0:30:19.360
<v Speaker 1>you know, And when I say early, I mean around

0:30:19.400 --> 0:30:21.800
<v Speaker 1>the time of founding Open AI twenty fifteen. Or so,

0:30:22.400 --> 0:30:26.600
<v Speaker 1>there's some clips of him talking about, you know, saying

0:30:26.720 --> 0:30:29.080
<v Speaker 1>somewhat jokingly that AI might kill us all. But there's

0:30:29.120 --> 0:30:31.240
<v Speaker 1>also this uh, you know, very famous blog post that

0:30:31.280 --> 0:30:33.440
<v Speaker 1>he wrote in twenty fifteen in which he says that,

0:30:34.080 --> 0:30:36.920
<v Speaker 1>you know, basically super intelligence is one of the most

0:30:36.920 --> 0:30:40.760
<v Speaker 1>serious risks to humanity, you know, full stop. And so

0:30:41.080 --> 0:30:43.640
<v Speaker 1>it's clear that at some point in his life he

0:30:43.800 --> 0:30:46.960
<v Speaker 1>believed kind of what we might now call a more

0:30:47.000 --> 0:30:50.520
<v Speaker 1>doom ory outlook. But as time has gone on, he

0:30:50.640 --> 0:30:53.560
<v Speaker 1>has you know, offered views that are a little bit

0:30:53.560 --> 0:30:56.920
<v Speaker 1>more measured and more positive. You know, he tends to

0:30:57.200 --> 0:30:59.080
<v Speaker 1>you know, in his big media tour of twenty twenty three,

0:30:59.800 --> 0:31:03.360
<v Speaker 1>he tended to talk about how AI was going to

0:31:04.320 --> 0:31:07.720
<v Speaker 1>you know, his projection was that AI would radically transform society,

0:31:07.720 --> 0:31:09.640
<v Speaker 1>but that it would be net good, right, that like,

0:31:09.800 --> 0:31:13.160
<v Speaker 1>overall we would be glad that this happened, and that

0:31:13.240 --> 0:31:16.959
<v Speaker 1>it would improve lives, even if in the short term

0:31:17.680 --> 0:31:20.680
<v Speaker 1>or for some people it might prove to be bringing

0:31:20.720 --> 0:31:24.360
<v Speaker 1>a lot of challenges as well. And so it is

0:31:24.440 --> 0:31:26.040
<v Speaker 1>you know, I think one of the interesting things about

0:31:26.160 --> 0:31:28.240
<v Speaker 1>is about him is it is a little hard to

0:31:28.280 --> 0:31:30.640
<v Speaker 1>pin down exactly what he thinks. I think you're right

0:31:30.680 --> 0:31:35.440
<v Speaker 1>that I wouldn't consider him like a gung ho effective accelerationist.

0:31:35.480 --> 0:31:37.240
<v Speaker 1>I would not consider him a dumer. He is like

0:31:38.360 --> 0:31:41.320
<v Speaker 1>somewhere in this large gulf in between there. But I

0:31:41.360 --> 0:31:46.640
<v Speaker 1>think he's also smart enough to know that making grandiose

0:31:46.680 --> 0:31:52.840
<v Speaker 1>projections about what AI could bring is a compelling story, right, Like,

0:31:53.040 --> 0:31:57.120
<v Speaker 1>is a story that he can help sell by being

0:31:57.160 --> 0:31:59.000
<v Speaker 1>like a spokesman for it. And often that is the

0:31:59.080 --> 0:32:01.520
<v Speaker 1>role of a CEO, is to be a really good storyteller,

0:32:01.920 --> 0:32:05.040
<v Speaker 1>to bring the pitch of the company to the public,

0:32:05.120 --> 0:32:09.800
<v Speaker 1>to investors, to potential employees, to customers, to try to

0:32:09.800 --> 0:32:11.280
<v Speaker 1>sell them on this vision of the future. And I

0:32:11.280 --> 0:32:13.520
<v Speaker 1>do think Sam is good at that. There is an

0:32:13.520 --> 0:32:19.200
<v Speaker 1>interesting tidbit in episode three in which we interview a

0:32:19.280 --> 0:32:22.080
<v Speaker 1>fiction writer who was actually hired on contract by open

0:32:22.120 --> 0:32:28.200
<v Speaker 1>Ai to write like a novella about AI futures and

0:32:28.240 --> 0:32:31.680
<v Speaker 1>things like that. And yeah, he just talks a little

0:32:31.680 --> 0:32:34.160
<v Speaker 1>bit about you know, the novella is not I think

0:32:34.480 --> 0:32:37.120
<v Speaker 1>in active use within open Ai, but they did at

0:32:37.120 --> 0:32:40.480
<v Speaker 1>some point, see they did, at some point see value

0:32:40.600 --> 0:32:43.760
<v Speaker 1>in commissioning it. And I think you know something that

0:32:43.800 --> 0:32:47.000
<v Speaker 1>the author, Patrick House explains to us, is you know

0:32:47.320 --> 0:32:51.360
<v Speaker 1>that open Ai, just like many other startups, is really

0:32:51.440 --> 0:32:54.280
<v Speaker 1>motivated by story, right, and that Sam Altman is inspired

0:32:54.680 --> 0:32:56.880
<v Speaker 1>by fiction. You know, it's inspired by certain kinds of

0:32:56.880 --> 0:32:59.160
<v Speaker 1>sci fi. I think this is not unique to Sam.

0:32:59.240 --> 0:33:02.360
<v Speaker 1>Many founders in Silicon Valley, you know, Elon Musk has

0:33:02.360 --> 0:33:05.640
<v Speaker 1>talked about this as well, are driven to create things

0:33:05.680 --> 0:33:09.160
<v Speaker 1>in part because of what they read about when they

0:33:09.160 --> 0:33:11.600
<v Speaker 1>were younger, that you know, these dreams of the future.

0:33:12.400 --> 0:33:14.720
<v Speaker 1>And so it's just interesting to get his perspective on

0:33:15.320 --> 0:33:18.680
<v Speaker 1>how motivating a story can be, and how motivating this

0:33:19.040 --> 0:33:21.320
<v Speaker 1>compelling story of like, oh, we're building something that's going

0:33:21.400 --> 0:33:23.880
<v Speaker 1>to change the course of human history. Like you just

0:33:23.920 --> 0:33:26.640
<v Speaker 1>couldn't ask for a more powerful motivating force.

0:33:28.000 --> 0:33:33.840
<v Speaker 2>So as Alman accumulates power and as he kind of

0:33:34.000 --> 0:33:37.320
<v Speaker 2>sends the top of open Ai, do you think he's

0:33:37.400 --> 0:33:39.920
<v Speaker 2>done there? Do you think there's going to be another

0:33:40.000 --> 0:33:42.760
<v Speaker 2>thing he starts? Because it feels like you've discussed like

0:33:42.920 --> 0:33:44.720
<v Speaker 2>UBI and all these other things. Do you think he

0:33:44.760 --> 0:33:47.880
<v Speaker 2>has grander ideas that he wants to pursue.

0:33:49.000 --> 0:33:53.760
<v Speaker 1>Well, obviously I can't speak to what's inside Sam's I

0:33:53.840 --> 0:33:58.000
<v Speaker 1>don't know the man's mind, but I mean past indicators

0:33:58.000 --> 0:34:01.160
<v Speaker 1>would suggest yes, Like I think he has proven pretty

0:34:01.160 --> 0:34:05.600
<v Speaker 1>consistently that he's someone who you know, is you know,

0:34:05.600 --> 0:34:08.239
<v Speaker 1>as much as he might focus on one project with

0:34:08.280 --> 0:34:10.759
<v Speaker 1>a lot of effort, like he is cooking things on

0:34:10.840 --> 0:34:13.000
<v Speaker 1>the side, Like this is a man. This is gonna

0:34:13.000 --> 0:34:15.160
<v Speaker 1>be an extended metaphor, but this is a man working

0:34:15.200 --> 0:34:17.239
<v Speaker 1>at a stove that has like six burners, not one.

0:34:17.320 --> 0:34:19.719
<v Speaker 1>And you know he we already know that.

0:34:20.680 --> 0:34:22.839
<v Speaker 2>What you say, sorry, he's got a big house.

0:34:23.840 --> 0:34:28.400
<v Speaker 1>He's got multiple houses. The uh, the you know, we

0:34:28.480 --> 0:34:32.319
<v Speaker 1>already know that. You know. In addition to running open AI,

0:34:33.080 --> 0:34:38.279
<v Speaker 1>he has funded and or helped prompt the founding of,

0:34:38.719 --> 0:34:41.560
<v Speaker 1>or has you know, been very involved in investing in

0:34:41.640 --> 0:34:45.239
<v Speaker 1>or supporting other startups that you know, are part of

0:34:45.280 --> 0:34:50.560
<v Speaker 1>this kind of ecosystem of businesses that are connected to

0:34:51.080 --> 0:34:53.760
<v Speaker 1>an AI future or might benefit in an AI future.

0:34:53.800 --> 0:34:57.080
<v Speaker 1>So for example, he Leon, which is a nuclear fusion

0:34:57.360 --> 0:34:59.680
<v Speaker 1>company which he has invested a ton of money into.

0:35:00.239 --> 0:35:02.160
<v Speaker 1>I think he has said publicly that you know, his

0:35:02.800 --> 0:35:05.960
<v Speaker 1>vision is that this is a potential way to provide

0:35:06.280 --> 0:35:11.400
<v Speaker 1>abundant energy that could then power the technology that we

0:35:11.440 --> 0:35:16.040
<v Speaker 1>need to you know, improve AI to the level that

0:35:16.080 --> 0:35:17.520
<v Speaker 1>we're hoping that it can get to, or that he's

0:35:17.520 --> 0:35:19.880
<v Speaker 1>hoping that it can get to At the same time.

0:35:20.520 --> 0:35:22.880
<v Speaker 1>You know, we've talked a little bit about universal basic income.

0:35:22.960 --> 0:35:26.080
<v Speaker 1>This has been something that Sam has been a proponent

0:35:26.160 --> 0:35:29.640
<v Speaker 1>of and an advocate of since at least twenty sixteen,

0:35:29.719 --> 0:35:32.560
<v Speaker 1>when he was running y Combinator, and they started a

0:35:32.840 --> 0:35:37.120
<v Speaker 1>side research project to study universal basic income by giving

0:35:39.280 --> 0:35:42.279
<v Speaker 1>cash payments to families in Oakland of I believe a

0:35:42.320 --> 0:35:46.320
<v Speaker 1>thousand dollars a month. That research project is still ongoing.

0:35:46.360 --> 0:35:50.319
<v Speaker 1>It's now moved away from y Combinator and is associated

0:35:50.880 --> 0:35:54.200
<v Speaker 1>with open Research, which is I believe funded by open Ai,

0:35:54.320 --> 0:35:56.360
<v Speaker 1>and so it has kind of moved with Sam to

0:35:56.440 --> 0:36:00.480
<v Speaker 1>his new role. And of course he also so co

0:36:00.640 --> 0:36:06.240
<v Speaker 1>founded this company called world Coin, which used these silver

0:36:06.880 --> 0:36:12.120
<v Speaker 1>orbs machines to scan to take pictures of your iris

0:36:12.160 --> 0:36:17.160
<v Speaker 1>and give everyone register every individual human as like a

0:36:17.239 --> 0:36:21.360
<v Speaker 1>unique human individual, and to create this eyeball registry in

0:36:21.480 --> 0:36:24.759
<v Speaker 1>which by which one could in the future distribute a

0:36:24.880 --> 0:36:28.720
<v Speaker 1>universal basic income. So he's funding these energy companies, He's

0:36:29.000 --> 0:36:32.480
<v Speaker 1>involved in these sort of the sort of crypto eyeball

0:36:32.520 --> 0:36:35.720
<v Speaker 1>registry project that will help distribute ebi in this future

0:36:35.719 --> 0:36:37.879
<v Speaker 1>that he's imagining, Like, I think it's safe to say

0:36:37.880 --> 0:36:41.560
<v Speaker 1>he's definitely thinking about things beyond just open AI for

0:36:41.719 --> 0:36:44.920
<v Speaker 1>the future and imagining like, Okay, well, if we have

0:36:45.000 --> 0:36:46.680
<v Speaker 1>this piece that's growing, what else would we need to

0:36:46.680 --> 0:36:49.359
<v Speaker 1>support it? And I'm sure there are other things he's

0:36:49.400 --> 0:36:51.600
<v Speaker 1>working on that we don't even know about, right, Like

0:36:51.600 --> 0:36:55.960
<v Speaker 1>I know he has also funded some like longevity bioscience

0:36:56.040 --> 0:36:59.439
<v Speaker 1>projects and things like that. He's I guarantee he's thinking

0:36:59.480 --> 0:37:01.200
<v Speaker 1>about stuff beyond what we know about.

0:37:03.160 --> 0:37:07.480
<v Speaker 2>Final question, why do you think the entire tech industry

0:37:07.480 --> 0:37:10.040
<v Speaker 2>has become so fascinated with AI? Do you think it's

0:37:10.239 --> 0:37:12.279
<v Speaker 2>just oldman or is it something more?

0:37:13.680 --> 0:37:18.080
<v Speaker 1>I do think chat Gipt started heating up this interest

0:37:18.120 --> 0:37:20.360
<v Speaker 1>that was already percolating a little bit in the tech industry.

0:37:20.760 --> 0:37:23.319
<v Speaker 1>But it does seem like something about chatchipt capture the

0:37:23.320 --> 0:37:27.360
<v Speaker 1>public imagination made people imagine very seriously for the first time,

0:37:28.200 --> 0:37:32.759
<v Speaker 1>how AI could affect their lives, their lives individually. It

0:37:32.880 --> 0:37:34.279
<v Speaker 1>used to be kind of this abstract thing that was

0:37:34.320 --> 0:37:36.920
<v Speaker 1>a little farther away, or maybe you understood that like

0:37:37.320 --> 0:37:40.880
<v Speaker 1>you were interacting with AI sometimes, like when you would

0:37:40.920 --> 0:37:46.080
<v Speaker 1>look at like flight price predictors or yeah, exactly. But

0:37:46.920 --> 0:37:48.759
<v Speaker 1>you know, I think as we you know, we talk

0:37:48.800 --> 0:37:51.400
<v Speaker 1>about this in episode three, but you know, chat chipet

0:37:51.600 --> 0:37:55.920
<v Speaker 1>wasn't even new technology. It was actually just a different

0:37:56.120 --> 0:38:00.000
<v Speaker 1>user interface on a model that already existed GPT three

0:38:00.040 --> 0:38:00.560
<v Speaker 1>point five.

0:38:01.160 --> 0:38:01.480
<v Speaker 3>And so.

0:38:03.040 --> 0:38:05.200
<v Speaker 1>To me, that actually speaks, I guess to the power

0:38:05.280 --> 0:38:09.440
<v Speaker 1>of like making a technology accessible to everyone and in

0:38:09.480 --> 0:38:11.480
<v Speaker 1>a way that was like easy to use and you know,

0:38:11.520 --> 0:38:13.879
<v Speaker 1>for better or worse. That kind of got a lot

0:38:13.920 --> 0:38:17.160
<v Speaker 1>of people in this like public momentum of people thinking

0:38:17.160 --> 0:38:21.640
<v Speaker 1>about AI feeling you know, just feeling like it had

0:38:22.400 --> 0:38:25.879
<v Speaker 1>rapidly increased its capabilities in a short period of time.

0:38:26.719 --> 0:38:33.120
<v Speaker 1>And yeah, something about that really captured not just you know,

0:38:33.239 --> 0:38:36.120
<v Speaker 1>the minds, but also the hearts of people and like

0:38:36.120 --> 0:38:39.040
<v Speaker 1>like getting them really thinking about like what could a

0:38:39.040 --> 0:38:41.480
<v Speaker 1>future like this look like. And I think while some

0:38:41.480 --> 0:38:44.120
<v Speaker 1>people were excited, a lot of people also reacted with fear,

0:38:44.200 --> 0:38:45.719
<v Speaker 1>right and like I think in the valley, like you

0:38:45.800 --> 0:38:49.960
<v Speaker 1>will hear a lot of people more openly discussing their

0:38:50.040 --> 0:38:55.480
<v Speaker 1>fears of uh, sort of like job loss or or

0:38:56.640 --> 0:38:58.880
<v Speaker 1>just like dramatic social change that might come about in

0:38:58.880 --> 0:39:02.200
<v Speaker 1>the next ten or twenty years. The feeling I get

0:39:02.239 --> 0:39:04.400
<v Speaker 1>in conversations that I have in and around San Francisco

0:39:04.480 --> 0:39:06.680
<v Speaker 1>is you know, even people who are pretty deep in

0:39:06.719 --> 0:39:11.759
<v Speaker 1>this technology are uncertain about whether it's going to be

0:39:11.800 --> 0:39:14.839
<v Speaker 1>overall good or bad. Like they're just uncertain of how

0:39:14.840 --> 0:39:17.480
<v Speaker 1>to look back on this time, like whether it will

0:39:17.520 --> 0:39:22.040
<v Speaker 1>have ended up being elite forward for humanity or something different.

0:39:34.520 --> 0:39:36.600
<v Speaker 2>Aortman has taken advantage of the fact that the tech

0:39:36.640 --> 0:39:40.560
<v Speaker 2>industry might not have any hypergrowth markets left, knowing that

0:39:40.640 --> 0:39:44.319
<v Speaker 2>chat GPT is much like Sam Altman, incredibly adept at

0:39:44.360 --> 0:39:48.279
<v Speaker 2>mimicking depth and experience by parroting the experiences of those

0:39:48.320 --> 0:39:52.560
<v Speaker 2>that have actually done things. Like Sam Altman, chat GPT

0:39:52.680 --> 0:39:55.960
<v Speaker 2>consumes information and feeds it back to the people using

0:39:56.000 --> 0:40:00.440
<v Speaker 2>it in a way that feels superficially satisfying, and it's

0:40:00.520 --> 0:40:03.480
<v Speaker 2>quite impressive to those who don't really care about creativity

0:40:03.560 --> 0:40:06.239
<v Speaker 2>or depth. And like I've said, it takes advantage of

0:40:06.280 --> 0:40:09.080
<v Speaker 2>the fact that the teche CoSystem has been dominated and

0:40:09.120 --> 0:40:13.960
<v Speaker 2>funded by people who don't really build tech. As I've

0:40:14.000 --> 0:40:18.720
<v Speaker 2>said before, generative AI things like chat GPT, anthropics Claude,

0:40:19.040 --> 0:40:22.000
<v Speaker 2>Microsoft's co Pilot, which is also powered by chat GBT.

0:40:22.560 --> 0:40:25.759
<v Speaker 2>It's not going to become the incredible supercomputer that Sam

0:40:25.800 --> 0:40:29.080
<v Speaker 2>Moortman is promising. It will not be a virtual brain

0:40:29.400 --> 0:40:32.480
<v Speaker 2>or imminently human like or a super smart person that

0:40:32.600 --> 0:40:36.600
<v Speaker 2>knows everything about you, because it is, at its deepest complexity,

0:40:36.960 --> 0:40:41.040
<v Speaker 2>a fundamentally different technology based on mathematics and the probabilistic

0:40:41.120 --> 0:40:44.160
<v Speaker 2>answer to what you have asked it, rather than anything

0:40:44.239 --> 0:40:48.520
<v Speaker 2>resembling how human beings think, or act or even know things.

0:40:48.719 --> 0:40:52.759
<v Speaker 2>Generative AI does not know anything. How can a thing

0:40:52.880 --> 0:40:56.480
<v Speaker 2>think when it doesn't know a anyone? I want to

0:40:56.520 --> 0:41:01.239
<v Speaker 2>ask bradlight cap Miramarati Sam Ortmann of these questions just

0:41:01.360 --> 0:41:06.120
<v Speaker 2>once hear what they fart out. No, a well CHATGBT

0:41:06.360 --> 0:41:10.560
<v Speaker 2>isn't inherently useless. Allman realizes that it's impossible to generate

0:41:10.600 --> 0:41:13.200
<v Speaker 2>the kind of funding and hype he needs based on

0:41:13.239 --> 0:41:16.719
<v Speaker 2>its actual achievements, and that to continue to accumulate power

0:41:16.719 --> 0:41:19.200
<v Speaker 2>and money, which is his only goal, he has the

0:41:19.239 --> 0:41:21.640
<v Speaker 2>speciously hype it, and he has to hype it to

0:41:21.719 --> 0:41:25.239
<v Speaker 2>wealthy and powerful people who also do not participate in

0:41:25.280 --> 0:41:30.319
<v Speaker 2>the creation of anything. And that's who he is. I've

0:41:30.360 --> 0:41:32.840
<v Speaker 2>been pretty mean about this guy, I really have, but

0:41:32.880 --> 0:41:36.640
<v Speaker 2>he does have a skill. He knows a mark, he

0:41:36.719 --> 0:41:39.520
<v Speaker 2>knows he knows how to say the right things and

0:41:39.560 --> 0:41:41.840
<v Speaker 2>get in the right rooms with the people who aren't

0:41:41.880 --> 0:41:45.480
<v Speaker 2>really touching the software or the hardware. He knows what

0:41:45.520 --> 0:41:47.719
<v Speaker 2>they need to hear. He knows what the vcs need

0:41:47.800 --> 0:41:53.000
<v Speaker 2>to hear. He knows quite aptly what this needs to

0:41:53.120 --> 0:41:56.080
<v Speaker 2>sound like. But if he had to say what chat

0:41:56.120 --> 0:41:59.279
<v Speaker 2>GBT does today, what would he say? Yeah, Yeah, it's

0:41:59.320 --> 0:42:01.319
<v Speaker 2>really good at a generating a bunch of TEGs that's

0:42:01.400 --> 0:42:04.319
<v Speaker 2>kind of shitty. Yeah, Sometimes it does math right and

0:42:04.360 --> 0:42:06.560
<v Speaker 2>sometimes it does it really wrong. Sometimes you ask it

0:42:06.600 --> 0:42:08.680
<v Speaker 2>to do. It can draw a picture, Hey, what do

0:42:08.719 --> 0:42:11.959
<v Speaker 2>you think of that? These are all things, by the way,

0:42:12.080 --> 0:42:13.799
<v Speaker 2>that if like a six year old told you'd be like, wow,

0:42:13.840 --> 0:42:15.960
<v Speaker 2>that's really impressive, or like a ten year old perhaps,

0:42:16.520 --> 0:42:20.759
<v Speaker 2>because that's a living being. Chat GPT does these things,

0:42:20.760 --> 0:42:22.799
<v Speaker 2>and it does it. I know it's cheesy to say,

0:42:22.840 --> 0:42:24.920
<v Speaker 2>but in a soulless way, but it really does that.

0:42:25.040 --> 0:42:27.239
<v Speaker 2>Because and the reason all of this, the writing and

0:42:27.280 --> 0:42:30.520
<v Speaker 2>the horrible video and the images, the reason it feels

0:42:30.560 --> 0:42:35.880
<v Speaker 2>so empty is because even the most manure adjacent press

0:42:35.920 --> 0:42:42.160
<v Speaker 2>release still has gone through someone's manure adjacent brain. Even

0:42:42.200 --> 0:42:46.000
<v Speaker 2>the most pallid empty copy you've read has gone through someone.

0:42:46.320 --> 0:42:49.200
<v Speaker 2>A person has put thought and intention in, even if

0:42:49.200 --> 0:42:53.280
<v Speaker 2>they're not great with the English language. What chat GPT

0:42:53.520 --> 0:42:56.880
<v Speaker 2>does is use math to generate the next thing, and

0:42:56.920 --> 0:43:00.359
<v Speaker 2>sometimes it gets it pretty right. But pretty right is

0:43:00.400 --> 0:43:04.760
<v Speaker 2>not enough to mimic human creation. But look at Sam Altman.

0:43:05.239 --> 0:43:08.200
<v Speaker 2>Look who he is. What has he created other than

0:43:08.200 --> 0:43:12.720
<v Speaker 2>wealth for him and other people? What about Sam Moltman

0:43:12.840 --> 0:43:17.840
<v Speaker 2>is particularly exciting? Well, he's been rich before and his

0:43:18.040 --> 0:43:21.680
<v Speaker 2>money made him even richer. That's pretty good. He was

0:43:21.760 --> 0:43:24.960
<v Speaker 2>at y Combinator. Don't ask too much about what happened there.

0:43:26.480 --> 0:43:30.280
<v Speaker 2>Just feels like sometimes Silicon Valley can't wipe its own ass.

0:43:30.800 --> 0:43:34.200
<v Speaker 2>It can't see when there's a wolf amongst the sheep.

0:43:34.440 --> 0:43:37.560
<v Speaker 2>It can't see when someone isn't really part of the

0:43:37.600 --> 0:43:41.040
<v Speaker 2>system other than finding new ways to manipulate and extract

0:43:41.120 --> 0:43:44.360
<v Speaker 2>value from him. And Sam Altman is a monster created

0:43:44.680 --> 0:43:47.880
<v Speaker 2>by Silicon Valley's sin, and their sin, by the way,

0:43:48.080 --> 0:43:52.040
<v Speaker 2>is empowering and elevating those who don't build software, which

0:43:52.120 --> 0:43:55.200
<v Speaker 2>in turn has led to the greater sin of allowing

0:43:55.239 --> 0:43:58.280
<v Speaker 2>the tech industry to drift away from fixing the problems

0:43:58.280 --> 0:44:02.960
<v Speaker 2>of actual human beings. Sam Altman's manipulative little power plays

0:44:02.960 --> 0:44:05.760
<v Speaker 2>have been so effective because so many of the power

0:44:05.760 --> 0:44:08.960
<v Speaker 2>players in venture capital and the public markets and even

0:44:09.040 --> 0:44:12.640
<v Speaker 2>tech companies are disconnected from the process of building things,

0:44:12.840 --> 0:44:16.200
<v Speaker 2>of building software and hardware, and that makes them incapable

0:44:16.320 --> 0:44:20.080
<v Speaker 2>or perhaps unwilling to understand that Sam Altman is leading

0:44:20.120 --> 0:44:23.759
<v Speaker 2>them to a deeply desolate place. And on some level,

0:44:23.760 --> 0:44:27.080
<v Speaker 2>it's kind of impressive how he succeeded in bending these

0:44:27.120 --> 0:44:29.920
<v Speaker 2>fools to his whims, to the point that executives like

0:44:29.960 --> 0:44:32.320
<v Speaker 2>sund up A Shai of Google are willing to break

0:44:32.600 --> 0:44:35.720
<v Speaker 2>Google Search in pursuit of this next big hype cycle

0:44:35.960 --> 0:44:40.400
<v Speaker 2>created by Sam Altman. He might not create anything, but

0:44:40.440 --> 0:44:44.799
<v Speaker 2>he's excellent at spotting market opportunities, even if these opportunities

0:44:44.800 --> 0:44:49.600
<v Speaker 2>involve him transparently lying about the technology he creates, all

0:44:49.640 --> 0:44:53.719
<v Speaker 2>while having his nasty little boosters further propagate these bullshit,

0:44:54.320 --> 0:44:57.680
<v Speaker 2>mostly because they don't know, or perhaps they don't care,

0:44:58.000 --> 0:45:01.560
<v Speaker 2>if Sam Morton's full of shit. It doesn't matter to them.

0:45:01.840 --> 0:45:04.520
<v Speaker 2>It doesn't matter that Google Search is still plagued with

0:45:04.600 --> 0:45:09.160
<v Speaker 2>nonsensical AI answers that sometimes steal other people's work, or

0:45:09.160 --> 0:45:13.919
<v Speaker 2>that AI in legal research has been proven to regularly hallucinate, which,

0:45:13.960 --> 0:45:16.280
<v Speaker 2>by the way, is a problem that's impossible to fix.

0:45:17.280 --> 0:45:20.560
<v Speaker 2>It's all happening because AI is the new thing that

0:45:20.600 --> 0:45:23.040
<v Speaker 2>can be sold to the markets. And it's all happening

0:45:23.120 --> 0:45:27.120
<v Speaker 2>because Sam Altman, intentionally or otherwise has created a totally

0:45:27.160 --> 0:45:30.840
<v Speaker 2>hollow hype cycle. And all of this is thanks to

0:45:30.880 --> 0:45:33.800
<v Speaker 2>Sam Altman and a tech industry that's lost its ability

0:45:33.840 --> 0:45:37.319
<v Speaker 2>to create things worthy of an actual hype cycle to

0:45:37.400 --> 0:45:40.879
<v Speaker 2>the point that this spacious, non technical manipulator can lead

0:45:40.920 --> 0:45:46.239
<v Speaker 2>it down this nasty, ugly offensive anti tech path. The

0:45:46.280 --> 0:45:49.640
<v Speaker 2>tech industry has spent years pissing off customers, with platforms

0:45:49.680 --> 0:45:53.319
<v Speaker 2>like Facebook and Google actively making their products worse in

0:45:53.360 --> 0:45:56.680
<v Speaker 2>the pursuit of perpetual growth and ashamedly turning their backs

0:45:56.800 --> 0:45:58.880
<v Speaker 2>on the people that made them rich and acting with

0:45:58.920 --> 0:46:02.840
<v Speaker 2>this horrifying contempt for their users. And I believe the

0:46:02.880 --> 0:46:05.439
<v Speaker 2>result will be that tech is going to face a

0:46:05.520 --> 0:46:09.640
<v Speaker 2>harsh reprimand from society. As I mentioned in the rock

0:46:09.680 --> 0:46:13.120
<v Speaker 2>com bubble, things that are already falling apart WHEB traffic

0:46:13.160 --> 0:46:17.320
<v Speaker 2>is already dropping. And what sucks is the people around

0:46:17.360 --> 0:46:20.920
<v Speaker 2>Sam Moltman should have been able to see this, even

0:46:21.000 --> 0:46:25.360
<v Speaker 2>putting aside his resume. I've listened to an alarming amount

0:46:25.360 --> 0:46:28.799
<v Speaker 2>of Sam Moreman talk. And I'm a public relations person,

0:46:28.840 --> 0:46:30.920
<v Speaker 2>Who the hell am I? I'm someone who's been around

0:46:30.960 --> 0:46:33.160
<v Speaker 2>a lot of people who make shit up. I've been

0:46:33.200 --> 0:46:35.560
<v Speaker 2>around a lot of people whose job it is to

0:46:35.680 --> 0:46:41.440
<v Speaker 2>kind of obfuscate things, and quite frankly, almost really obvious.

0:46:41.960 --> 0:46:43.920
<v Speaker 2>I'm not going to do any weird light to me

0:46:44.120 --> 0:46:47.640
<v Speaker 2>esque ways of proving he's lying. He just doesn't ever

0:46:47.680 --> 0:46:51.719
<v Speaker 2>get pushed into any depth. No one ever asks him

0:46:52.120 --> 0:46:56.000
<v Speaker 2>really technical questions or even just a question like, Hey, Sam,

0:46:56.160 --> 0:46:58.120
<v Speaker 2>did you work on any of the code at open

0:46:58.160 --> 0:47:01.279
<v Speaker 2>AIY what did you work on? Yeah? I know you

0:47:01.320 --> 0:47:04.560
<v Speaker 2>can't talk about the future, Sam, but how close are

0:47:04.560 --> 0:47:06.560
<v Speaker 2>we actually to AGI? And if he says, ah, a

0:47:06.560 --> 0:47:10.480
<v Speaker 2>few years, that's not specific enough, Sam, how about give

0:47:10.520 --> 0:47:15.640
<v Speaker 2>me a ballpark? And then when he lies again, you say, okay, Sam,

0:47:15.719 --> 0:47:20.040
<v Speaker 2>how do we get from generative AI to AGI? And

0:47:20.120 --> 0:47:22.760
<v Speaker 2>when he starts waffling, say no, no, no, be specific, Sam.

0:47:24.280 --> 0:47:26.839
<v Speaker 2>This is how you actually ask questions. And when you

0:47:26.920 --> 0:47:30.040
<v Speaker 2>say things like this, by the way, to technical founders,

0:47:30.400 --> 0:47:34.080
<v Speaker 2>they don't get worried. They don't offer skate. They may

0:47:34.080 --> 0:47:35.839
<v Speaker 2>say I can't talk about this duty of legal things,

0:47:35.840 --> 0:47:39.640
<v Speaker 2>which is fine, but they'll generally try and talk to you.

0:47:40.920 --> 0:47:44.640
<v Speaker 2>Listen to any interview with any other technical AI person,

0:47:46.200 --> 0:47:49.120
<v Speaker 2>Listen to them, and then listen to Sam Ortman. He's

0:47:49.200 --> 0:47:53.240
<v Speaker 2>full of it. It's so obvious. And one deeply unfair

0:47:53.320 --> 0:47:55.799
<v Speaker 2>thing with the value is there are people that get

0:47:55.840 --> 0:47:59.319
<v Speaker 2>held to these standards. Early stage startups generally do the

0:47:59.360 --> 0:48:02.120
<v Speaker 2>ones that aren't handed to people like Altman or Alexis

0:48:02.160 --> 0:48:05.080
<v Speaker 2>Ohanian have read it, or Paul Graham or read Hoffman.

0:48:06.000 --> 0:48:08.360
<v Speaker 2>They don't get those chances because they're not saying the

0:48:08.400 --> 0:48:12.200
<v Speaker 2>things that need to be said to the venture capitalists.

0:48:12.360 --> 0:48:16.080
<v Speaker 2>They're not in the circles. They're not doing the right

0:48:16.120 --> 0:48:19.239
<v Speaker 2>things because the right things are no longer the right

0:48:19.360 --> 0:48:23.319
<v Speaker 2>thing for the tech industry. And when all of this

0:48:23.440 --> 0:48:27.640
<v Speaker 2>falls apart, Sam Almond's going to be fine. When this

0:48:27.840 --> 0:48:31.480
<v Speaker 2>all collapses, he'll find something to blame it on market forces,

0:48:31.560 --> 0:48:36.000
<v Speaker 2>a lack of energy, breakthroughs, unfortunate economic things. All are

0:48:36.080 --> 0:48:39.040
<v Speaker 2>that nonsense, and he'll remain a billionaire, capable of doing

0:48:39.040 --> 0:48:42.280
<v Speaker 2>anything he wants. The people that are going to suffer

0:48:42.400 --> 0:48:45.480
<v Speaker 2>are the people working in Silicon Valley who aren't Sam Almon.

0:48:45.840 --> 0:48:48.480
<v Speaker 2>The people that did not get born with a silver

0:48:48.520 --> 0:48:51.680
<v Speaker 2>spoon in each hand and then handed further silver spoons

0:48:51.680 --> 0:48:55.360
<v Speaker 2>as they walk the streets of San Francisco. People that

0:48:55.440 --> 0:48:58.440
<v Speaker 2>don't live in nine and a half thousand square foot mansions.

0:48:59.480 --> 0:49:02.120
<v Speaker 2>The people trying to raise money who can't right now

0:49:02.160 --> 0:49:06.440
<v Speaker 2>because all the vcs are obsessed with AI. The people

0:49:06.520 --> 0:49:09.880
<v Speaker 2>that will get fired from public tech companies when a

0:49:10.000 --> 0:49:13.319
<v Speaker 2>depression hits, because the markets realize that the generative AI

0:49:13.440 --> 0:49:17.280
<v Speaker 2>boom was a bubble, when they realized that the most

0:49:17.320 --> 0:49:20.640
<v Speaker 2>famous people in tech have been making these promises for

0:49:20.800 --> 0:49:25.080
<v Speaker 2>nobody other than the markets. Well, the markets need you

0:49:25.120 --> 0:49:27.520
<v Speaker 2>to do something eventually, and I just don't think it's

0:49:27.560 --> 0:49:31.040
<v Speaker 2>going to happen. And I think that we need to

0:49:31.120 --> 0:49:34.040
<v Speaker 2>really think why was Sam Altman allowed to get to

0:49:34.080 --> 0:49:37.840
<v Speaker 2>this point? Why did so many people like Paul Graham,

0:49:38.120 --> 0:49:42.239
<v Speaker 2>like Reid Hoffman, like Brian Chesky, like Sachi Nadella. Back up,

0:49:42.440 --> 0:49:45.840
<v Speaker 2>it's obvious con artists who has acted like this forever.

0:49:47.360 --> 0:49:49.560
<v Speaker 2>And what sucks is I don't know if the value

0:49:49.600 --> 0:49:51.520
<v Speaker 2>is going to learn anything unless it's really bad, and

0:49:51.560 --> 0:49:53.200
<v Speaker 2>I don't want it to be. By the way, I

0:49:53.239 --> 0:49:55.399
<v Speaker 2>would love to be wrong. I would love for all

0:49:55.440 --> 0:49:57.920
<v Speaker 2>of this to just be like Sam Ortman's actually a genius.

0:49:58.400 --> 0:50:01.080
<v Speaker 2>Turns out the whole thing is no, it's not going

0:50:01.160 --> 0:50:05.440
<v Speaker 2>to happen. And I worry that there is no smooth

0:50:05.440 --> 0:50:07.239
<v Speaker 2>way out of this, that there is no way to

0:50:07.360 --> 0:50:12.960
<v Speaker 2>just casually integrate open Ai with Microsoft, because now there's

0:50:12.960 --> 0:50:16.680
<v Speaker 2>an antitrust thing going in with Microsoft and acquiring Inflection Ai,

0:50:16.800 --> 0:50:20.799
<v Speaker 2>another AI company, and that's the thing. It feels like

0:50:20.880 --> 0:50:25.560
<v Speaker 2>we are approaching a press apiece here, and the only

0:50:25.600 --> 0:50:28.680
<v Speaker 2>way to avoid it is for people to come clean,

0:50:28.719 --> 0:50:31.719
<v Speaker 2>which is never going to happen, or of course, for

0:50:31.800 --> 0:50:35.040
<v Speaker 2>Sam Wortman not to be lying, for AGI to actually

0:50:35.040 --> 0:50:36.839
<v Speaker 2>come out of open Ai. And by the way, it's

0:50:36.840 --> 0:50:39.080
<v Speaker 2>going to need to be in the next year. I

0:50:39.080 --> 0:50:42.560
<v Speaker 2>don't think they've got even three quarters left. I think

0:50:42.600 --> 0:50:47.359
<v Speaker 2>that once this falls apart, once the markets realize, oh shit,

0:50:47.520 --> 0:50:50.840
<v Speaker 2>this is not profitable, this is not sustainable, they're going

0:50:50.920 --> 0:50:54.040
<v Speaker 2>to walk away from it. When companies realize that Generative

0:50:54.080 --> 0:50:59.279
<v Speaker 2>AI it's given him a couple percent profit, maybe they're

0:50:59.320 --> 0:51:02.600
<v Speaker 2>going to be pissed because this is not a stock

0:51:02.719 --> 0:51:08.680
<v Speaker 2>rally worthy boondoggle. This is not going to be pretty

0:51:09.520 --> 0:51:12.279
<v Speaker 2>when things fall. Apart from for Nvidia, you're still over

0:51:12.280 --> 0:51:15.440
<v Speaker 2>one thousand dollars when those orders stop coming in quite

0:51:15.440 --> 0:51:18.080
<v Speaker 2>as fast. What do you think is going to happen

0:51:18.120 --> 0:51:22.880
<v Speaker 2>to tech stocks? Startups are already having trouble raising money,

0:51:23.239 --> 0:51:26.440
<v Speaker 2>and they're having trouble raising money because the people giving

0:51:26.440 --> 0:51:29.400
<v Speaker 2>out the money are too disconnected from the creation of

0:51:29.440 --> 0:51:33.080
<v Speaker 2>software and hardware. The only way to fix Silicon Valley

0:51:34.080 --> 0:51:37.640
<v Speaker 2>perhaps is an apocalypse. Perhaps is people like Sam Ortman

0:51:37.760 --> 0:51:40.040
<v Speaker 2>getting washed out. I don't want it to happen. I

0:51:40.120 --> 0:51:45.240
<v Speaker 2>really must be bloody clear. But maybe it won't be apocalyptic.

0:51:46.400 --> 0:51:49.160
<v Speaker 2>Maybe it would just be a brutal realignment. And maybe

0:51:49.200 --> 0:51:54.160
<v Speaker 2>Silicon Valley needs that realignment because this industry desperately needs

0:51:55.080 --> 0:51:57.920
<v Speaker 2>a big bathful of ice. I need to dunk the

0:51:58.040 --> 0:52:02.320
<v Speaker 2>head in it aggressively and wake the hell up. Venture

0:52:02.360 --> 0:52:05.840
<v Speaker 2>capital needs to put money back into real things. The

0:52:05.960 --> 0:52:09.360
<v Speaker 2>largest tech companies need to realign and build for sustainability,

0:52:09.520 --> 0:52:13.480
<v Speaker 2>so are not binging and purging staff with every boom,

0:52:13.719 --> 0:52:15.600
<v Speaker 2>And if we really are at the end of the

0:52:15.680 --> 0:52:19.960
<v Speaker 2>hypergrowth era, every tech company needs to be thinking profit

0:52:20.000 --> 0:52:23.240
<v Speaker 2>and sustainability again. And that's a better silicon valley, because

0:52:23.239 --> 0:52:26.200
<v Speaker 2>a better silicon valley builds things for people. It solves

0:52:26.239 --> 0:52:29.279
<v Speaker 2>real problems. It doesn't have to lie about what the

0:52:29.320 --> 0:52:31.399
<v Speaker 2>thing could do in the future so that it can

0:52:31.440 --> 0:52:34.680
<v Speaker 2>sell a thing today. And I realize that sounds like

0:52:34.719 --> 0:52:38.200
<v Speaker 2>the foundation of most venture capital. That's fine at the

0:52:38.239 --> 0:52:42.399
<v Speaker 2>seed stage, that's fine at this moonshot stage where your

0:52:42.440 --> 0:52:46.040
<v Speaker 2>early early days. It is not befitting the most famous

0:52:46.320 --> 0:52:50.200
<v Speaker 2>company in tech. It is not befitting a multi billionaire.

0:52:51.280 --> 0:52:54.279
<v Speaker 2>It is not befitting anyone, and it is insulting to

0:52:54.320 --> 0:52:57.520
<v Speaker 2>the people actually building things, both in and outside of technology.

0:52:58.000 --> 0:53:01.400
<v Speaker 2>The people I hear from after every episode, they are angry,

0:53:01.760 --> 0:53:04.480
<v Speaker 2>They are frustrated because there are good people in tech.

0:53:04.520 --> 0:53:06.440
<v Speaker 2>There are people building real things. There are people that

0:53:06.560 --> 0:53:10.319
<v Speaker 2>remember a time when the tech industry was exciting, when

0:53:10.440 --> 0:53:13.279
<v Speaker 2>people were talking about cool shit in the future, and

0:53:13.320 --> 0:53:17.080
<v Speaker 2>then they'd actually do it. Returning to that is better

0:53:17.120 --> 0:53:20.440
<v Speaker 2>for society and the tech industry. Just don't know when

0:53:20.480 --> 0:53:30.920
<v Speaker 2>it's gonna happen. Thank you for listening to Better Offline.

0:53:31.040 --> 0:53:33.480
<v Speaker 2>The editor and composer of the Better Offline theme song

0:53:33.520 --> 0:53:36.200
<v Speaker 2>is Mattasowski. You can check out more of his music

0:53:36.200 --> 0:53:39.839
<v Speaker 2>and audio projects at Mattasowski dot com m A T.

0:53:39.840 --> 0:53:40.440
<v Speaker 3>T O.

0:53:40.680 --> 0:53:44.920
<v Speaker 2>S O w Ski dot com. You can email me

0:53:44.960 --> 0:53:47.560
<v Speaker 2>at easy at better offline dot com or visit better

0:53:47.600 --> 0:53:50.040
<v Speaker 2>offline dot com to find more podcast links and of course,

0:53:50.080 --> 0:53:53.200
<v Speaker 2>my newsletter. I also really recommend you go to chat

0:53:53.200 --> 0:53:55.879
<v Speaker 2>dot Where's Youreed dot at to visit the discord, and

0:53:55.920 --> 0:53:58.640
<v Speaker 2>go to our slash Better Offline to check out our reddit.

0:53:59.400 --> 0:54:00.760
<v Speaker 2>Thank you so much much for listening.

0:54:01.560 --> 0:54:04.279
<v Speaker 3>Better Offline is a production of cool Zone Media. For

0:54:04.400 --> 0:54:08.440
<v Speaker 3>more from cool Zone Media, visit our website Coolzonemedia dot com,

0:54:08.520 --> 0:54:11.400
<v Speaker 3>or check us out on the iHeartRadio app, Apple Podcasts,

0:54:11.480 --> 0:54:12.960
<v Speaker 3>or wherever you get your podcasts.