WEBVTT - OpenAI Part 3: Heaven and Hell, Part 1

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<v Speaker 1>Today, we're going to start on a drive in Hawaii.

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<v Speaker 2>We're on north Shore, going deeper into the jungle on

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<v Speaker 2>the north shore, so we're passing twin falls right now.

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<v Speaker 1>I'm driving through the lush green forests of Maui. Annie Altman,

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<v Speaker 1>Sam Altman's little sister is sitting in the passenger seat.

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<v Speaker 1>You heard from her briefly in the first episode.

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<v Speaker 2>And I love this because you wouldn't turn here if

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<v Speaker 2>you didn't know you could turn in.

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<v Speaker 1>I certainly would not be driving down this if I

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<v Speaker 1>didn't tell you a tiny little round. We're taking a

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<v Speaker 1>tour of the different places Annie has moved around in

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<v Speaker 1>the last couple of years, driving down dirt roads to

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<v Speaker 1>look at cabins and houses hidden behind enormous tropical plants.

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<v Speaker 2>We got a huge monster.

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<v Speaker 3>I look at that.

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<v Speaker 2>It's so it's so goofy. Then I'm driving this, I

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<v Speaker 2>know because then you see it in someone's office plant

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<v Speaker 2>and you're like, is that the same thing.

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<v Speaker 1>For much of the past two years, Annie hasn't been

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<v Speaker 1>able to afford a stable place to live.

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<v Speaker 4>The place you just passed is one of the places

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<v Speaker 4>I stayed at longer term.

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<v Speaker 2>In all of the houselessness two months on a newly

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<v Speaker 2>built no running water or no electricity house at the

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<v Speaker 2>far and back of the property.

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<v Speaker 1>And I think she's an important part of Sam's story.

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<v Speaker 5>And at the time I had nowhere to stay and

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<v Speaker 5>no rent money, certainly no deposit money, and barely enough room,

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<v Speaker 5>barely enough money for rent.

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<v Speaker 1>Recently, over the course of just a year, she moved

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<v Speaker 1>twenty two times, and that's on average about twice a month.

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<v Speaker 1>Sometimes she has stayed places for a week at a time,

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<v Speaker 1>or even just a night or two. Some of them

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<v Speaker 1>have been illegal rentals without running water. She says she's

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<v Speaker 1>slept on floors and friends' houses. She stayed with strangers

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<v Speaker 1>when she didn't have another option.

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<v Speaker 2>The man who lived in the front house messaged me

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<v Speaker 2>on Instagram, and I stayed in his kids.

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<v Speaker 4>Room the week that they weren't there, and then slept

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<v Speaker 4>on the floor in the common room the week that

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<v Speaker 4>the kids were there.

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<v Speaker 2>I was houseless. I didn't have somewhere to go. I

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<v Speaker 2>stayed in this cabin with destly anti roof right there

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<v Speaker 2>for three months.

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<v Speaker 1>How many different places have you lived in that didn't

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<v Speaker 1>have running water?

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<v Speaker 2>Maybe five ish five or sus six, I don't know.

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<v Speaker 1>Meanwhile, thousands of miles away in San Francisco, her brother

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<v Speaker 1>Sam was having a spectacular year. In twenty twenty three,

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<v Speaker 1>the success of chat GBT had launched open Ai into

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<v Speaker 1>the stratosphere. Sam was named CEO of the Year by

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<v Speaker 1>Time magazine. He spent months flying around the globe talking

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<v Speaker 1>to world leaders about AI.

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<v Speaker 6>So what outforted you?

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<v Speaker 7>Let's give a big round of applause.

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<v Speaker 8>There a special guests.

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<v Speaker 1>Sam Altman.

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<v Speaker 9>It is with great pleasure that I invite on stage

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<v Speaker 9>Sam Altman.

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<v Speaker 10>The individual transcends introduction, mister Sam Altman, the CEO pop

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<v Speaker 10>open AI.

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<v Speaker 1>Sure, Sam had been positioning himself as a public intellectual

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<v Speaker 1>for some time, but for a long while he had

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<v Speaker 1>merely been Silicon Valley famous. This was a new level

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<v Speaker 1>of fame. Suddenly it seemed like Sam Altman was a

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<v Speaker 1>spokesman for this entire AI boom. On stage, on podcasts

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<v Speaker 1>and interviews, people kept turning to Sam for answers. They

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<v Speaker 1>were asking him what our AI future would hold. In

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<v Speaker 1>May of that year, he confidently suggested a future where

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<v Speaker 1>no one is poor. It's an idea he's talked about

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<v Speaker 1>for years, and the remarks show that his tune hasn't

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<v Speaker 1>changed despite growing renown and wealth.

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<v Speaker 8>One thing I think we all could agree on is

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<v Speaker 8>that we just shouldn't have poverty in the world.

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<v Speaker 1>So he's saying something like poverty, which is as deeply

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<v Speaker 1>entrenched as civilization itself, could be fixed. In the age

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<v Speaker 1>of AI. Everyone will have what they need to live,

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<v Speaker 1>including a home.

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<v Speaker 8>I think we are not that far away from being

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<v Speaker 8>able to eliminate poverty asthectically worldwide, certainly developed countries, and

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<v Speaker 8>I think there are things that are fifty years from

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<v Speaker 8>now will be basic human rights, like healthcare and enough

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<v Speaker 8>food to eat and a place to live. I'm confident

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<v Speaker 8>we're going to get that done.

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<v Speaker 1>He sounds so sure of himself. How will these changes happen?

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<v Speaker 1>Sam says that they could come from AI. He's basically

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<v Speaker 1>saying the technology his company is working on can eliminate poverty.

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<v Speaker 1>Here he is at a Bloomberg conference in June twenty

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<v Speaker 1>twenty three.

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<v Speaker 8>I think it'd be good to ten poverty. Maybe you

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<v Speaker 8>think we should stop a technology they can do that,

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<v Speaker 8>I personally don't.

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<v Speaker 1>He's even scolding people who say they want to stop

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<v Speaker 1>or slow down the development of AI by saying that

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<v Speaker 1>they want to keep people poor. Solving poverty seems to

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<v Speaker 1>become part of his personal brand. There's almost a stump

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<v Speaker 1>speech of sorts, and there's one word he likes to

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<v Speaker 1>use to encapsulate our bountiful future.

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<v Speaker 8>I think it's how we get to this world of abundance.

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<v Speaker 8>In a world with the level of abundance AI and

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<v Speaker 8>the abundance that comes with that, If we can have

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<v Speaker 8>abundant and cheap energy and intelligence that will transform people's lives.

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<v Speaker 1>It sounds wonderful, almost utopian. But Sam was saying on

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<v Speaker 1>stage that everyone should have enough money, enough food, everyone

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<v Speaker 1>should have a place to live, while his own sister

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<v Speaker 1>was struggling with homelessness. I want to believe Sam's promises

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<v Speaker 1>about abundance, but Annie's story complicates a lot of the

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<v Speaker 1>things Sam has projected about the future. You're listening to Foundering.

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<v Speaker 1>I'm your host, Ellen Hewitt. By the time open ai

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<v Speaker 1>had been around for a few years, its employees began

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<v Speaker 1>sensing that they were working on something profound. AI was

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<v Speaker 1>starting to do things even its creators didn't quite understand,

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<v Speaker 1>and the response divided people. Some people at open ai,

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<v Speaker 1>including Sam, argued that an all powerful computer intelligence would

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<v Speaker 1>be good for the world. Some thought it could be very,

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<v Speaker 1>very bad. These visions were extreme, polarizing, as different as

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<v Speaker 1>heaven and hell. This period ultimately led up to the

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<v Speaker 1>release of chat GPT, which was a defining moment for

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<v Speaker 1>the company and for the entire AI complex. The two

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<v Speaker 1>predictions people talked about the most during this time were

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<v Speaker 1>that AI would either wipe out the human race or

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<v Speaker 1>completely change the definition of work. The first one is

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<v Speaker 1>hugely controversial, the second one is less controversial. People will

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<v Speaker 1>lose jobs and the economy will have to adapt. I'm

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<v Speaker 1>going to tell this story in two parts. First, the

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<v Speaker 1>disputes within open Ai, the reckoning with what they'd built,

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<v Speaker 1>and the elevation of Sam as some kind of AI hero.

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<v Speaker 1>In the second part, we'll hear more from Sam's sister

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<v Speaker 1>and explore the debate around poverty and what an AI

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<v Speaker 1>economy might look like. And you'll see exactly how far

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<v Speaker 1>away Annie's life is from Sam's vision of AI utopia.

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<v Speaker 8>We'll be right back.

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<v Speaker 1>Let's pick the story up in twenty twenty one. It's

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<v Speaker 1>about a year and a half before open Ai launches

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<v Speaker 1>chat GPT, and open AI's technology had been rapidly gaining

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<v Speaker 1>new capabilities.

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<v Speaker 11>This was around the time that OpenAI was building more

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<v Speaker 11>and more powerful models such as GPT two and GBT

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<v Speaker 11>three that could ingest text and spit out ever more

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<v Speaker 11>human sounding text.

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<v Speaker 1>That's my colleague Rachel Metz, who covers AI.

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<v Speaker 11>They were focused on building increasingly powerful AI models, doing

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<v Speaker 11>it very rapidly, moving towards this goal that they have

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<v Speaker 11>long stated of creating artificial general intelligence.

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<v Speaker 1>This rapid progress was good. It was great for Sam,

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<v Speaker 1>great for the company, but it made some open ai

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<v Speaker 1>employees nervous, even ones very high up. Here's Dario Amidae,

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<v Speaker 1>who at the time was the vice president of research

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<v Speaker 1>at open Ai. He's talking on the Logan Bartlett podcast

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<v Speaker 1>and he sounds genuinely agitated.

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<v Speaker 12>So, you know, I really freaked out about this stuff.

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<v Speaker 12>In twenty eighteen or twenty nineteen or so. The first

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<v Speaker 12>time I looked at GBT too, I was like, oh my,

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<v Speaker 12>this is like this is crazy. This is you know,

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<v Speaker 12>there's there's nothing like, there's nothing like this in the world,

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<v Speaker 12>Like it's crazy that this is possible.

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<v Speaker 1>He looked at what he was helping build at open ai,

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<v Speaker 1>and his overwhelming emotion was fear.

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<v Speaker 12>Why am I scared.

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<v Speaker 6>Okay, this thing's going to be powerful. It could destroy us,

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<v Speaker 6>and like all the ones built so far, like you know,

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<v Speaker 6>are at pretty decent risk of doing some random shit.

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<v Speaker 6>We don't understand if such a model wanted to recavoc

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<v Speaker 6>and destroy humanity or whatever. I think we have basically

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<v Speaker 6>no ability to stop it.

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<v Speaker 1>That's from a tech show called the Door Kesh podcast.

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<v Speaker 1>You can hear Dario's uneasiness, which spread to some of

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<v Speaker 1>his peers at work. In twenty twenty one, he and

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<v Speaker 1>six of his open ai colleagues all left at once

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<v Speaker 1>and they started a new rival company focused on building

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<v Speaker 1>AI that was safe.

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<v Speaker 12>We need to make these models safe in a certain way,

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<v Speaker 12>and you know, we need to do them within an

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<v Speaker 12>organization where we can really believe that these principles are

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<v Speaker 12>incorporated top to bottom.

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<v Speaker 1>While his tone sounds innocuous, if you read between the lines,

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<v Speaker 1>he's implying that open ai was not that concerned with

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<v Speaker 1>safety and not following those principles top to bottom. He

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<v Speaker 1>and his co founders felt they needed to create a

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<v Speaker 1>whole new company focused on preventing AI from potentially wiping

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<v Speaker 1>us all out. This idea was baked into their name anthropic,

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<v Speaker 1>which refers to the existence of humanity on Earth. Anthropics

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<v Speaker 1>split from open ai was a big deal. The group

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<v Speaker 1>of employees who walked away included executives and key people

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<v Speaker 1>who had worked there for a long time. It cast

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<v Speaker 1>this suspicious pall over open Ai. Their exit suggested that

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<v Speaker 1>they didn't trust Sam to do the right thing. So

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<v Speaker 1>fast forward to late twenty twenty two, open Ai released

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<v Speaker 1>chat GBT. They weren't expecting a huge response, but it

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<v Speaker 1>drew people in gradually. Then suddenly everyone was trying it out.

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<v Speaker 1>Here's Rachel again.

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<v Speaker 11>I kept an eye on it for a few days

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<v Speaker 11>and I started noticing people were talking about it. But

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<v Speaker 11>it started getting more and more traction, and I remember

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<v Speaker 11>reaching out to my editors and saying, hey, we should

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<v Speaker 11>write about this.

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<v Speaker 1>Chat GBT wasn't new technology. It was basically powered by

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<v Speaker 1>GPT three point five, pre existing model, but it was

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<v Speaker 1>a new way of presenting that technology to the world.

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<v Speaker 1>It was a free, easy to use chat based AI tool.

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<v Speaker 1>It felt a little like texting a friend.

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<v Speaker 11>This was much more fluid feeling. It gave you a

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<v Speaker 11>sense that you were communicating with a person, a person

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<v Speaker 11>that would make a lot of things up right, who's

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<v Speaker 11>the answers? You would have to constantly.

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<v Speaker 1>Check and people were hooked. Chat gpt reached one hundred

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<v Speaker 1>million users in just two months, the fastest growth ever

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<v Speaker 1>at the time. For reference, it took TikTok nine months

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<v Speaker 1>and Instagram two and a half years to reach the

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<v Speaker 1>same popularity. Chat gpt felt intelligent even when it got

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<v Speaker 1>things wrong. It prompted a lot of people to ask themselves,

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<v Speaker 1>how is AI going to change my life? The technology

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<v Speaker 1>had some immediate practical uses. Started using chat gpt to

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<v Speaker 1>write code more quickly, to translate documents more fluidly, and

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<v Speaker 1>to draft emails. Students used it for homework help good

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<v Speaker 1>and to cheat on papers not so good. Needless to say,

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<v Speaker 1>all this excitement was a huge boost for open Ai.

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<v Speaker 11>With chat gbt, OpenAI basically skyrocketed to brand awareness and success,

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<v Speaker 11>and people immediately started thinking of it as the hot

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<v Speaker 11>AI company, a leader in AI.

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<v Speaker 1>It also skyrocketed Sam's public profile. Now Ai was the

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<v Speaker 1>story of twenty twenty three, and Sam was the main character.

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<v Speaker 1>He became a household name and across the tech industry.

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<v Speaker 1>Investors were desperate to throw money at AI. Companies pivoted

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<v Speaker 1>their focus to AI, and highway billboards touted new AI startups,

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<v Speaker 1>and this chat gbt mania did something else too.

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<v Speaker 11>In addition to making all kinds of people interested in

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<v Speaker 11>and aware of cutting edge AI, the release of chat

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<v Speaker 11>gbt inflamed this small subsection of people that have long

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<v Speaker 11>been interested in this idea that AI is going to

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<v Speaker 11>become more and more powerful, and that it will inevitably

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<v Speaker 11>go rogue and threaten us, and we have to figure

0:13:31.160 --> 0:13:32.839
<v Speaker 11>out how to save humanity from it.

0:13:33.440 --> 0:13:37.440
<v Speaker 1>Fear of AI destroying the world. It's the fear that

0:13:37.559 --> 0:13:42.200
<v Speaker 1>Dario described feeling before he quit Open AI to found Anthropic.

0:13:43.320 --> 0:13:46.520
<v Speaker 1>It might sound a little ridiculous, but to many people

0:13:46.800 --> 0:13:52.600
<v Speaker 1>it's dead serious. This Silicon Valley subculture that believes AI

0:13:52.720 --> 0:13:56.959
<v Speaker 1>might destroy us soon has steadily been growing more influential

0:13:57.040 --> 0:14:01.760
<v Speaker 1>and powerful. These ideas are a major motivating force in

0:14:01.880 --> 0:14:06.440
<v Speaker 1>AI right now. Many tech workers in AI feel that

0:14:06.600 --> 0:14:10.160
<v Speaker 1>they are working on the most consequential thing possible for

0:14:10.240 --> 0:14:13.880
<v Speaker 1>the human race, a matter of life and death for

0:14:13.960 --> 0:14:18.680
<v Speaker 1>the whole planet. This belief influences where billions of dollars

0:14:18.720 --> 0:14:22.320
<v Speaker 1>are directed, and which problems get worked on and which

0:14:22.360 --> 0:14:27.320
<v Speaker 1>ones get ignored. Chat GBT brought these fears into the

0:14:27.360 --> 0:14:32.400
<v Speaker 1>public consciousness big time. One survey in the UK shows

0:14:32.440 --> 0:14:35.600
<v Speaker 1>that in the course of one year, right after chat

0:14:35.600 --> 0:14:39.720
<v Speaker 1>gbt's release, the percentage of people who believed that AI

0:14:40.120 --> 0:14:44.280
<v Speaker 1>was a top possible cause of human extinction more than doubled.

0:14:45.520 --> 0:14:48.880
<v Speaker 1>To be clear, this claim is hotly disputed. A lot

0:14:48.960 --> 0:14:52.760
<v Speaker 1>of people, even in Silicon Valley, think AI numerism is

0:14:52.920 --> 0:14:59.000
<v Speaker 1>overblown or a quasi religious ideology, but many take it seriously.

0:15:00.120 --> 0:15:03.800
<v Speaker 1>We'll be right back. I want to talk about how

0:15:03.800 --> 0:15:09.040
<v Speaker 1>it feels to believe AI might destroy humanity. Here's Chao

0:15:09.120 --> 0:15:12.720
<v Speaker 1>Chu Yun. He's just one of many people in tech

0:15:12.800 --> 0:15:17.040
<v Speaker 1>who held this belief. His introduction to this world was

0:15:17.640 --> 0:15:22.600
<v Speaker 1>bizarrely through Harry Potter fan fiction he found online that

0:15:22.720 --> 0:15:27.560
<v Speaker 1>was written by a very influential AI doomer named Eliezer Yudkowski.

0:15:28.720 --> 0:15:32.200
<v Speaker 1>That discovery led him to lots more of Eliezer's writing

0:15:32.320 --> 0:15:36.400
<v Speaker 1>about AI. He eventually became convinced that the world was

0:15:36.560 --> 0:15:39.640
<v Speaker 1>probably going to be swallowed by super intelligent AI.

0:15:40.280 --> 0:15:44.120
<v Speaker 10>Soon I was like, Okay, it's happening, We're getting there.

0:15:44.160 --> 0:15:46.520
<v Speaker 10>It's going to happen in my lifetime. It's going to

0:15:46.520 --> 0:15:51.160
<v Speaker 10>happen like before I retire. I made a conscious decision

0:15:51.160 --> 0:15:54.000
<v Speaker 10>around this time to not open a retirement account, which

0:15:54.120 --> 0:15:56.040
<v Speaker 10>some people might think was silly, but I was like,

0:15:56.120 --> 0:15:59.840
<v Speaker 10>I really do not think money is going to matter

0:16:00.240 --> 0:16:03.600
<v Speaker 10>by the time I hit retirement age. I think by

0:16:03.600 --> 0:16:06.280
<v Speaker 10>the time I hit retirement age, the world is going

0:16:06.360 --> 0:16:08.800
<v Speaker 10>to be unrecognizably strange. I just don't think money is

0:16:08.840 --> 0:16:12.000
<v Speaker 10>going to be a thing. Either we're all going to

0:16:12.000 --> 0:16:14.120
<v Speaker 10>be dead, or we're going to be into some crazy

0:16:14.200 --> 0:16:17.200
<v Speaker 10>post Singularity environment where it's just I just don't think

0:16:17.200 --> 0:16:17.960
<v Speaker 10>it's going to matter.

0:16:18.360 --> 0:16:22.200
<v Speaker 1>The Singularity is the point when robots become smarter than humans.

0:16:23.560 --> 0:16:27.000
<v Speaker 1>For him, it went beyond skipping out on a retirement account.

0:16:27.760 --> 0:16:31.400
<v Speaker 1>Once chou Chu really started believing this, other things in

0:16:31.400 --> 0:16:35.440
<v Speaker 1>his life just didn't seem to matter. He dropped out

0:16:35.480 --> 0:16:39.400
<v Speaker 1>of his math PhD program five years in. He drifted

0:16:39.440 --> 0:16:43.400
<v Speaker 1>away from old friends. He thought they didn't understand the

0:16:43.480 --> 0:16:44.840
<v Speaker 1>magnitude of the situation.

0:16:45.480 --> 0:16:49.240
<v Speaker 10>It was like this black hole in my kind of

0:16:49.440 --> 0:16:52.640
<v Speaker 10>sense of in which things were important, and like sort

0:16:52.680 --> 0:16:54.840
<v Speaker 10>of the closer I got to it, like the less

0:16:54.880 --> 0:16:56.560
<v Speaker 10>important everything else seemed that I was like, oh, well,

0:16:56.600 --> 0:16:58.360
<v Speaker 10>there's this other stuff that doesn't really matter. There's this

0:16:58.360 --> 0:17:00.680
<v Speaker 10>other stuff that doesn't really matter, and this is like

0:17:00.720 --> 0:17:01.800
<v Speaker 10>maybe the only thing that matters.

0:17:03.720 --> 0:17:09.199
<v Speaker 1>I know this sounds scary, extreme and maybe ridiculous, but

0:17:09.359 --> 0:17:12.480
<v Speaker 1>if you spend enough time talking to people in AI

0:17:12.680 --> 0:17:17.680
<v Speaker 1>and around Silicon Valley, you will hear this attitude. Sometimes

0:17:17.680 --> 0:17:22.320
<v Speaker 1>it's whispered, sometimes it's said loudly. Sometimes they'll use terms

0:17:22.359 --> 0:17:27.520
<v Speaker 1>like AI safety, AI alignment, or AI existential risk, but

0:17:27.560 --> 0:17:31.679
<v Speaker 1>they're all talking about the same thing. There are significant

0:17:31.800 --> 0:17:35.600
<v Speaker 1>numbers of influential people in AI who believe that our

0:17:35.720 --> 0:17:39.280
<v Speaker 1>world in twenty years will be utterly unrecognizable from the

0:17:39.280 --> 0:17:43.159
<v Speaker 1>world of today. Some people think it'll be way better,

0:17:43.720 --> 0:17:47.199
<v Speaker 1>but a lot think it might be way worse, and

0:17:47.240 --> 0:17:50.280
<v Speaker 1>they feel that they should devote their lives to preventing

0:17:50.320 --> 0:17:54.720
<v Speaker 1>AI doomsday. In the last five or ten years, a

0:17:54.760 --> 0:17:58.400
<v Speaker 1>lot of famous, rich tech people have thrown money at

0:17:58.400 --> 0:18:03.840
<v Speaker 1>this new cause. Facebook co founder Dustin Moskovitz and crypto

0:18:03.960 --> 0:18:08.439
<v Speaker 1>fraudster Sam Bankman Freed each pledged hundreds of millions of

0:18:08.440 --> 0:18:13.040
<v Speaker 1>dollars toward AI safety projects. Tech leaders have signed public

0:18:13.040 --> 0:18:17.280
<v Speaker 1>statements about how AI could put our human civilization at risk.

0:18:19.240 --> 0:18:22.480
<v Speaker 1>Chau Chu and his fellow adherents felt it was deeply

0:18:22.520 --> 0:18:26.520
<v Speaker 1>important to get other people to accept this threat. They

0:18:26.560 --> 0:18:30.720
<v Speaker 1>became evangelists. At events. They would trap people in long

0:18:30.840 --> 0:18:34.000
<v Speaker 1>conversations about AI apocalypse.

0:18:33.640 --> 0:18:35.840
<v Speaker 10>And they started off skeptical and then they ended up

0:18:35.920 --> 0:18:38.720
<v Speaker 10>somewhere between like either like really convinced or like scared

0:18:38.840 --> 0:18:41.280
<v Speaker 10>of just like oh, oh this is terrifying. This is

0:18:41.280 --> 0:18:43.680
<v Speaker 10>like really like I'm like kind of sicked up about this.

0:18:43.680 --> 0:18:45.520
<v Speaker 10>This was a very frightening idea. It's like, oh, hey,

0:18:45.640 --> 0:18:48.639
<v Speaker 10>what if everyone dies in ten years? That's a scary idea,

0:18:49.200 --> 0:18:54.000
<v Speaker 10>and like it's it's it's sort of safer psychologically to

0:18:54.080 --> 0:18:56.280
<v Speaker 10>just dismiss it as like that's ridiculous, that could never happen.

0:18:56.680 --> 0:18:59.919
<v Speaker 10>But if someone really like get gets to you about that,

0:19:00.400 --> 0:19:02.680
<v Speaker 10>like as someone you know spends four hours talking to

0:19:02.800 --> 0:19:06.399
<v Speaker 10>him very carefully convincing you, like what if it's possible? Though,

0:19:06.440 --> 0:19:10.480
<v Speaker 10>Like that's really that's very scary. That's like oh that,

0:19:11.040 --> 0:19:11.560
<v Speaker 10>how do I?

0:19:11.680 --> 0:19:11.880
<v Speaker 5>Oh?

0:19:12.119 --> 0:19:14.520
<v Speaker 10>Like that's like terriff Like what do I do about that?

0:19:14.880 --> 0:19:17.720
<v Speaker 10>There's a world The difference between like reflexively dismissing that

0:19:17.800 --> 0:19:21.200
<v Speaker 10>idea and like really considering it seriously as a possibility.

0:19:21.520 --> 0:19:22.680
<v Speaker 10>On an emotional level.

0:19:23.400 --> 0:19:27.840
<v Speaker 1>Chou Chu took jobs at AI safety organizations. He volunteered

0:19:27.840 --> 0:19:30.800
<v Speaker 1>at rationality workshops to try to get more young minds

0:19:30.880 --> 0:19:34.680
<v Speaker 1>working on AI safety. In this world, when people talk

0:19:34.720 --> 0:19:39.879
<v Speaker 1>about what's at stake, it's on a galactic scale. Okay,

0:19:39.960 --> 0:19:42.600
<v Speaker 1>So that's one point of view that the most important

0:19:42.640 --> 0:19:45.199
<v Speaker 1>thing right now is to make sure AI is safe

0:19:45.240 --> 0:19:49.199
<v Speaker 1>in the future. But there are some really smart people,

0:19:49.560 --> 0:19:54.520
<v Speaker 1>academics and researchers who find this AI doomsday frenzy very

0:19:54.560 --> 0:19:59.760
<v Speaker 1>frustrating and harmful. Like Emily Bender, an academic who specializes

0:20:00.080 --> 0:20:01.480
<v Speaker 1>computational linguistics.

0:20:02.000 --> 0:20:05.399
<v Speaker 13>It's a distraction because there's all kinds of harms that

0:20:05.440 --> 0:20:07.920
<v Speaker 13>are happening right now in terms of labor exploitation, in

0:20:08.000 --> 0:20:11.080
<v Speaker 13>terms of data theft, in terms of discriminative outcomes, in

0:20:11.160 --> 0:20:16.199
<v Speaker 13>terms of representational harms. And the more we focus on

0:20:16.440 --> 0:20:21.880
<v Speaker 13>these very sort of exciting in the way that action

0:20:22.000 --> 0:20:25.640
<v Speaker 13>movies are exciting fantasy scenarios at exisential risks, the less

0:20:25.680 --> 0:20:27.919
<v Speaker 13>time and effort goes in to actually dealing with the

0:20:27.960 --> 0:20:29.440
<v Speaker 13>real harms that are happening right now.

0:20:31.040 --> 0:20:34.080
<v Speaker 1>Emily and lots of other experts argue that all of

0:20:34.119 --> 0:20:38.440
<v Speaker 1>this talk of AI doomsday is an enormous, dangerous distraction,

0:20:39.280 --> 0:20:42.520
<v Speaker 1>like a big flashing alarm screaming We're all going to die.

0:20:43.119 --> 0:20:46.320
<v Speaker 1>It steals all the air in the room. It makes

0:20:46.359 --> 0:20:50.240
<v Speaker 1>it easy to ignore issues happening today, like racial bias

0:20:50.400 --> 0:20:54.560
<v Speaker 1>in AI systems used in criminal justice, stealing copyrighted work

0:20:54.600 --> 0:20:58.000
<v Speaker 1>of artists to train models, and so many more.

0:20:58.960 --> 0:21:02.600
<v Speaker 3>You've got the surveillance applications of these technologies that are

0:21:02.640 --> 0:21:07.119
<v Speaker 3>being used to over police communities, or performance of facial

0:21:07.160 --> 0:21:11.080
<v Speaker 3>recognition technology, especially for women with darker skin in particular

0:21:11.119 --> 0:21:13.720
<v Speaker 3>Google and putting identity terms up for sale to search

0:21:13.760 --> 0:21:15.240
<v Speaker 3>for black girls, you get a whole.

0:21:15.119 --> 0:21:17.920
<v Speaker 13>Bunch of porn. There's enormous risks around synthetic media, all

0:21:17.960 --> 0:21:21.800
<v Speaker 13>of our ability to find trustworthy information and then trust

0:21:21.800 --> 0:21:24.920
<v Speaker 13>it when we find it is threatened helblic health, democracy.

0:21:25.960 --> 0:21:30.000
<v Speaker 1>The list goes on and on. Emily reminds us that

0:21:30.040 --> 0:21:33.560
<v Speaker 1>these are urgent problems, ways that people are being harmed

0:21:33.560 --> 0:21:34.760
<v Speaker 1>by AI right.

0:21:34.600 --> 0:21:39.320
<v Speaker 13>Now, and yet we are wasting our time talking about

0:21:39.359 --> 0:21:43.399
<v Speaker 13>these fantasy scenarios because the people with all the money

0:21:43.760 --> 0:21:47.560
<v Speaker 13>decided to get worried about it. In the meantime, there's

0:21:47.840 --> 0:21:52.200
<v Speaker 13>the doomer stuff, the existential stuff is also another kind

0:21:52.200 --> 0:21:55.960
<v Speaker 13>of AI hype, because if these systems are so powerful

0:21:56.000 --> 0:21:59.080
<v Speaker 13>they might destroy the world, then these systems are really powerful.

0:22:00.200 --> 0:22:03.320
<v Speaker 1>That hype is a key part of this, because a

0:22:03.480 --> 0:22:08.760
<v Speaker 1>super powerful AI system that's exciting to investors and to employees.

0:22:10.119 --> 0:22:14.960
<v Speaker 1>Emily thinks AI apocalypse beliefs are harmful and misleading, but

0:22:15.040 --> 0:22:17.639
<v Speaker 1>she also thinks many of the people concerned with AI

0:22:17.720 --> 0:22:20.200
<v Speaker 1>safety are coming from a sincere place.

0:22:20.760 --> 0:22:24.399
<v Speaker 13>But it does seem to be a genuine belief of

0:22:24.440 --> 0:22:27.399
<v Speaker 13>some of these folks. The people who get deep into

0:22:27.440 --> 0:22:31.960
<v Speaker 13>this set of beliefs about super intelligent AI taking over

0:22:32.000 --> 0:22:35.800
<v Speaker 13>the world see themselves as the heroes and their stories

0:22:35.840 --> 0:22:37.680
<v Speaker 13>who are going to work to stop that. I think

0:22:37.720 --> 0:22:40.639
<v Speaker 13>it's genuine. I think it's misplaced, but I think it's genuine.

0:22:41.200 --> 0:22:44.919
<v Speaker 1>I think Emily is hitting on something real here, that

0:22:45.000 --> 0:22:48.320
<v Speaker 1>this urge to be a hero becomes a motivating force

0:22:48.359 --> 0:22:51.560
<v Speaker 1>in the AI industry. Here's chaw choo again.

0:22:52.000 --> 0:22:55.679
<v Speaker 10>There is this kind of very boyish desire to be

0:22:55.720 --> 0:22:57.520
<v Speaker 10>a hero, Like most people don't get a chance to

0:22:57.600 --> 0:23:00.679
<v Speaker 10>do that in any meaningful sense. Not only just what

0:23:00.680 --> 0:23:02.240
<v Speaker 10>if I could be a hero, but like, oh what

0:23:02.280 --> 0:23:04.920
<v Speaker 10>if I could like smart my way to being a hero.

0:23:05.200 --> 0:23:07.560
<v Speaker 10>I think it'll be difficult for some people to admit

0:23:07.560 --> 0:23:10.720
<v Speaker 10>this because it's like kind of it feels immature or something.

0:23:10.760 --> 0:23:12.439
<v Speaker 10>But I really do think that is part of the

0:23:12.640 --> 0:23:14.160
<v Speaker 10>of the appeal of the pitch.

0:23:14.520 --> 0:23:18.760
<v Speaker 1>Being a hero by using your brain. Chauchu is saying

0:23:18.760 --> 0:23:21.879
<v Speaker 1>the quiet part out loud that many people in this

0:23:21.920 --> 0:23:25.359
<v Speaker 1>field are motivated by this pride. They want to feel

0:23:25.359 --> 0:23:29.000
<v Speaker 1>like they're important and that their work is cosmically significant.

0:23:29.320 --> 0:23:31.200
<v Speaker 10>People want to feel like they made a difference. Like

0:23:31.200 --> 0:23:33.720
<v Speaker 10>people want to feel like their lives matter, and that's

0:23:33.840 --> 0:23:35.720
<v Speaker 10>that's a huge part of the hook is like what

0:23:35.760 --> 0:23:39.119
<v Speaker 10>if this is like the most significant era of human

0:23:39.200 --> 0:23:41.320
<v Speaker 10>history that there ever has been, and like the choices

0:23:41.359 --> 0:23:44.720
<v Speaker 10>we make now are going to like reverberate into the future.

0:23:44.760 --> 0:23:47.399
<v Speaker 10>You know, like people on Twitter who started like getting

0:23:47.400 --> 0:23:50.679
<v Speaker 10>really into this stuff will uses like very hyper block clamers.

0:23:50.640 --> 0:23:52.720
<v Speaker 10>Oh yeah, we're going to like conquer the stars, you know,

0:23:52.720 --> 0:23:55.720
<v Speaker 10>We're going to like go create a galactic civilization. Like

0:23:56.119 --> 0:23:58.480
<v Speaker 10>I think some people think that those guys are exaggerating

0:23:58.520 --> 0:24:00.359
<v Speaker 10>and joking, Like I think they should be taking exactly

0:24:00.440 --> 0:24:03.159
<v Speaker 10>at face value, Like literally, that's what people think the sticks.

0:24:02.880 --> 0:24:06.600
<v Speaker 1>Are believing that this is the most significant era in

0:24:06.680 --> 0:24:10.320
<v Speaker 1>human history because of what we're building with AI. You

0:24:10.359 --> 0:24:15.720
<v Speaker 1>know who that sounds like Sam? In speech after speech

0:24:15.800 --> 0:24:18.080
<v Speaker 1>over the years, he has said that the AI we're

0:24:18.080 --> 0:24:21.800
<v Speaker 1>working on now is going to be historically significant. Here

0:24:21.800 --> 0:24:23.359
<v Speaker 1>he is with my colleague Emily Chang.

0:24:23.920 --> 0:24:27.440
<v Speaker 8>I think we have an opportunity that comes along only

0:24:27.440 --> 0:24:31.560
<v Speaker 8>every couple of centuries to redo the socioeconomic contract. And

0:24:31.680 --> 0:24:34.280
<v Speaker 8>how we include everybody in that, make everybody a winner,

0:24:34.720 --> 0:24:36.840
<v Speaker 8>and how we don't destroy ourselves in the process is

0:24:36.880 --> 0:24:39.639
<v Speaker 8>a huge question. You know, what does it meaning to

0:24:39.680 --> 0:24:42.439
<v Speaker 8>build something that is more capable than ourselves, Like, what

0:24:42.440 --> 0:24:44.600
<v Speaker 8>does that say about our humanity? What's that world going

0:24:44.640 --> 0:24:46.680
<v Speaker 8>to look like? What's in place in that world? How

0:24:46.760 --> 0:24:48.760
<v Speaker 8>is that going to be equitably shared? How do we

0:24:48.800 --> 0:24:50.920
<v Speaker 8>make sure that it's not like a handful of people

0:24:50.920 --> 0:24:53.960
<v Speaker 8>in San Francisco making the decisions and reaping all the benefits.

0:24:55.160 --> 0:24:58.000
<v Speaker 1>He says that the AI being built now will reshape

0:24:58.040 --> 0:25:03.680
<v Speaker 1>the world, our humanity, our social contract. His words are

0:25:03.720 --> 0:25:06.720
<v Speaker 1>brimming with the heroism that Emily and Chow Chew are

0:25:06.720 --> 0:25:10.080
<v Speaker 1>pointing out. It's pretty common for people in tech to

0:25:10.080 --> 0:25:13.719
<v Speaker 1>think they are uniquely smart enough to fix big hairy

0:25:13.840 --> 0:25:17.480
<v Speaker 1>problems like the tech billionaires who are creating a new

0:25:17.560 --> 0:25:22.359
<v Speaker 1>city near San Francisco, or the entire crypto industry, which

0:25:22.359 --> 0:25:26.760
<v Speaker 1>thinks it has invented a superior financial system. Maybe Sam

0:25:26.800 --> 0:25:30.880
<v Speaker 1>sees himself as a hero and he understands the motivating

0:25:30.920 --> 0:25:34.560
<v Speaker 1>power of a good story. In twenty nineteen, he even

0:25:34.680 --> 0:25:37.879
<v Speaker 1>hired a fiction writer on contract to write for open

0:25:37.880 --> 0:25:39.040
<v Speaker 1>ai for a few months.

0:25:39.400 --> 0:25:43.120
<v Speaker 9>I ended up basically writing a novella full of short stories,

0:25:44.080 --> 0:25:45.320
<v Speaker 9>science fiction short stories.

0:25:45.560 --> 0:25:49.359
<v Speaker 1>That's Patrick House. He's a neuroscientist and an author. He

0:25:49.400 --> 0:25:52.479
<v Speaker 1>says he has no idea whether OpenAI still uses his

0:25:52.520 --> 0:25:56.600
<v Speaker 1>novella in any way, but they saw value in commissioning it.

0:25:57.040 --> 0:25:59.480
<v Speaker 9>Sam Maltman is influenced by certain kinds of fiction. A

0:25:59.520 --> 0:26:03.600
<v Speaker 9>lot of startups are kind of motivated by story, and

0:26:03.640 --> 0:26:05.800
<v Speaker 9>that this story often comes from science fiction.

0:26:06.200 --> 0:26:09.720
<v Speaker 1>A powerful story can make your employees work really hard.

0:26:10.480 --> 0:26:14.320
<v Speaker 9>How do you motivate people, like, how do you motivate people,

0:26:14.480 --> 0:26:19.840
<v Speaker 9>especially in the like mostly secular San Francisco. Maybe you

0:26:19.840 --> 0:26:24.240
<v Speaker 9>give him a foundational document in an apocalypse myth and

0:26:24.320 --> 0:26:27.800
<v Speaker 9>you know, tell them they're averting, averting the end times,

0:26:28.320 --> 0:26:35.600
<v Speaker 9>and that's a tried and true, historically known way to

0:26:35.640 --> 0:26:36.359
<v Speaker 9>motivate people.

0:26:37.080 --> 0:26:40.760
<v Speaker 1>All of this made me wonder, does Sam believe that

0:26:40.800 --> 0:26:45.560
<v Speaker 1>AI might destroy humanity? Honestly, it's hard to tell. His

0:26:45.640 --> 0:26:49.239
<v Speaker 1>answers have changed over the years. In twenty fifteen, he

0:26:49.440 --> 0:26:53.280
<v Speaker 1>very clearly wrote that he believes advanced AI is quote

0:26:53.760 --> 0:26:57.639
<v Speaker 1>probably the greatest threat to the continued existence of humanity.

0:26:58.680 --> 0:27:00.520
<v Speaker 1>We heard him say in the past with a kind

0:27:00.560 --> 0:27:01.960
<v Speaker 1>of funny tone.

0:27:01.880 --> 0:27:04.960
<v Speaker 8>I think AI will probably like most likely sort of

0:27:05.520 --> 0:27:06.520
<v Speaker 8>lead to the end of the world.

0:27:06.840 --> 0:27:09.520
<v Speaker 1>And around that same time, in a New Yorker profile,

0:27:10.080 --> 0:27:13.920
<v Speaker 1>Sam basically said he was a doomsday prepper. He told

0:27:13.960 --> 0:27:18.399
<v Speaker 1>a reporter that he had stockpiled guns, gold, ammonium, antibiotics,

0:27:18.400 --> 0:27:22.120
<v Speaker 1>and gas masks from the Israeli Defense Force. He said

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<v Speaker 1>he has a big patch of land in Big Sur

0:27:24.880 --> 0:27:27.240
<v Speaker 1>that he can fly to in case the world crumbles.

0:27:28.359 --> 0:27:31.280
<v Speaker 1>This was really funny to me and probably to anyone

0:27:31.280 --> 0:27:34.480
<v Speaker 1>who has visited Big Sur, because the land out there

0:27:34.680 --> 0:27:39.240
<v Speaker 1>is literally crumbling right now, leading to rock slides, road closures,

0:27:39.400 --> 0:27:42.960
<v Speaker 1>and difficulty getting food and supplies in and out. Seems

0:27:43.000 --> 0:27:47.800
<v Speaker 1>like a precarious place for your apocalypse bunker. When another

0:27:47.880 --> 0:27:51.000
<v Speaker 1>reporter asked him follow up questions. Sam tried to blow

0:27:51.000 --> 0:27:53.679
<v Speaker 1>it off. He said that he does this stuff for

0:27:53.840 --> 0:27:58.159
<v Speaker 1>fun because it quote appeals to little boys survival fantasies.

0:27:59.320 --> 0:28:02.679
<v Speaker 1>In the years then, Sam has notably avoided mentioning the

0:28:02.680 --> 0:28:06.800
<v Speaker 1>big sur property or his stockpile of guns. Annie, his sister,

0:28:07.040 --> 0:28:10.080
<v Speaker 1>says she never saw the property, but that it's in line.

0:28:09.840 --> 0:28:10.920
<v Speaker 8>With what she knows about him.

0:28:11.160 --> 0:28:17.280
<v Speaker 7>He's big into that or was uh safety like guns gold,

0:28:17.880 --> 0:28:21.840
<v Speaker 7>how to stock up on the worst case scenario apocalyptic

0:28:22.600 --> 0:28:26.400
<v Speaker 7>movie scene events. My guess would be that he has

0:28:26.400 --> 0:28:27.760
<v Speaker 7>it and stop talking about it.

0:28:28.520 --> 0:28:32.080
<v Speaker 1>Sam is a savvy guy. As his profile has gotten

0:28:32.119 --> 0:28:35.600
<v Speaker 1>bigger after he helped build the world's leading AI company,

0:28:36.359 --> 0:28:41.040
<v Speaker 1>he has stopped saying things like AI will kill us all. Instead,

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<v Speaker 1>he talks about how society will be profoundly changed, but

0:28:45.000 --> 0:28:48.520
<v Speaker 1>overall it will be for the better. Since his newfound

0:28:48.560 --> 0:28:51.920
<v Speaker 1>chat GPT fame, he has shifted toward presenting himself and

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<v Speaker 1>by extension, open AI, as more middle of the road.

0:28:56.440 --> 0:28:59.640
<v Speaker 1>Sam is allowed to change his views, but people have

0:28:59.720 --> 0:29:02.120
<v Speaker 1>also so complain to me in private that Sam has

0:29:02.160 --> 0:29:04.720
<v Speaker 1>a tendency to talk out of both sides of his mouth.

0:29:05.400 --> 0:29:07.760
<v Speaker 1>He's good at telling people what they want to hear

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<v Speaker 1>in that moment, so it's not surprising that if it's

0:29:11.800 --> 0:29:14.840
<v Speaker 1>advantageous for him to seem more moderate, that he would

0:29:14.880 --> 0:29:18.600
<v Speaker 1>start to sound that way. In any case, he definitely

0:29:18.680 --> 0:29:23.320
<v Speaker 1>knows how powerful an explosive apocalypse story is. We trigger

0:29:23.400 --> 0:29:27.160
<v Speaker 1>more easily on dramatic fears than boring ones. Sam says

0:29:27.200 --> 0:29:31.000
<v Speaker 1>this himself here he is speaking at an Airbnb conference

0:29:31.040 --> 0:29:35.200
<v Speaker 1>in twenty fifteen. He's talking about nuclear power. But it's

0:29:35.200 --> 0:29:39.080
<v Speaker 1>an analogy that maps very clearly onto AI existential risk,

0:29:39.920 --> 0:29:44.200
<v Speaker 1>and you can hear again Sam's undertone of arrogance, pointing

0:29:44.240 --> 0:29:47.680
<v Speaker 1>out how he's aware of something rational that other people

0:29:47.760 --> 0:29:48.520
<v Speaker 1>are blind to.

0:29:49.040 --> 0:29:52.440
<v Speaker 8>People are much more sensitive to sort of like theatrical

0:29:53.520 --> 0:29:56.680
<v Speaker 8>extreme risk than they are to sort of like boring,

0:29:57.200 --> 0:30:01.720
<v Speaker 8>slow plotting risk. Like nuclear energy said, unbelievable safety record.

0:30:02.000 --> 0:30:04.240
<v Speaker 8>You know, it's like a thousand or ten thousand times

0:30:04.240 --> 0:30:07.000
<v Speaker 8>safer than coal, But most people would they rather live

0:30:07.000 --> 0:30:08.800
<v Speaker 8>next to a coal plant or a nucleanertry plant. They

0:30:08.840 --> 0:30:10.680
<v Speaker 8>picked the coal plant all day long, and when they

0:30:10.720 --> 0:30:13.440
<v Speaker 8>die in thirty years of lung cancer, it doesn't feel

0:30:13.480 --> 0:30:15.880
<v Speaker 8>as sort of dramatic is dying in a nuclear meltdown,

0:30:17.480 --> 0:30:21.520
<v Speaker 8>and no, it's true, like this is like the human

0:30:21.680 --> 0:30:23.480
<v Speaker 8>risk miscalculation that always happens.

0:30:23.560 --> 0:30:23.720
<v Speaker 5>Right.

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<v Speaker 8>People always underweight the boring slow stuff and overweight the

0:30:27.400 --> 0:30:28.360
<v Speaker 8>quick dramatic stuff.

0:30:29.320 --> 0:30:35.680
<v Speaker 1>People underweight the boring slow stuff like misinformation, racial bias,

0:30:35.840 --> 0:30:40.040
<v Speaker 1>and they overweight the big dramatic stuff. That may be

0:30:40.200 --> 0:30:44.040
<v Speaker 1>why the AI industry has been telling us disaster stories.

0:30:45.720 --> 0:30:48.440
<v Speaker 1>You've just listened to part one of Heaven and Hell.

0:30:49.200 --> 0:30:51.440
<v Speaker 1>Listen to part two for the rest of this story.

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<v Speaker 1>Foundering is hosted by me Ellen Hewitt. Sean Wen is

0:31:01.360 --> 0:31:05.600
<v Speaker 1>our executive producer. Rachel Metz contributed reporting to this episode.

0:31:06.120 --> 0:31:09.720
<v Speaker 1>Molly Nugent is our associate producer. Blake Maples is our

0:31:09.760 --> 0:31:15.120
<v Speaker 1>audio engineer, Mark Million, Anne Vandermay, Seth Fiegerman, Tom Giles,

0:31:15.160 --> 0:31:18.400
<v Speaker 1>and Molly Schutz are our story editors. We had production

0:31:18.480 --> 0:31:22.720
<v Speaker 1>help from Jessica Nix and Antonia mufferetch. Thanks for listening.

0:31:23.240 --> 0:31:26.520
<v Speaker 1>If you like our show, leave a review, and most importantly,

0:31:26.880 --> 0:31:28.920
<v Speaker 1>tell your friends. See you next time.