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Sam Altman on the A.I. Revolution, Trillionaires and the Future of Political Power

1:10:55
 
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Manage episode 294667839 series 2858887
New York Times Opinion에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 New York Times Opinion 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

“The technological progress we make in the next 100 years will be far larger than all we’ve made since we first controlled fire and invented the wheel,” writes Sam Altman in his essay “Moore’s Law for Everything.” “This revolution will generate enough wealth for everyone to have what they need, if we as a society manage it responsibly.”

Altman is the C.E.O. of OpenAI, one of the biggest, most important players in the artificial intelligence space. His argument is this: Since the 1970s, computers have gotten exponentially better even as they’re gotten cheaper, a phenomenon known as Moore’s Law. Altman believes that A.I. could get us closer to Moore’s Law for everything: it could make everything better even as it makes it cheaper. Housing, health care, education, you name it.

But what struck me about his essay is that last clause: “if we as a society manage it responsibly.” Because, as Altman also admits, if he is right then A.I. will generate phenomenal wealth largely by destroying countless jobs — that’s a big part of how everything gets cheaper — and shifting huge amounts of wealth from labor to capital. And whether that world becomes a post-scarcity utopia or a feudal dystopia hinges on how wealth, power and dignity are then distributed — it hinges, in other words, on politics.

This is a conversation, then, about the political economy of the next technological age. Some of it is speculative, of course, but some of it isn’t. That shift of power and wealth is already underway. Altman is proposing an answer: a move toward taxing land and wealth, and distributing it to all. We talk about that idea, but also the political economy behind it: Are the people gaining all this power and wealth really going to offer themselves up for more taxation? Or will they fight it tooth-and-nail?

We also discuss who is funding the A.I. revolution, the business models these systems will use (and the dangers of those business models), how A.I. would change the geopolitical balance of power, whether we should allow trillionaires, why the political debate over A.I. is stuck, why a pro-technology progressivism would also need to be committed to a radical politics of equality, what global governance of A.I. could look like, whether I’m just “energy flowing through a neural network,” and much more.

Mentioned:

“Moore’s Law for Everything” by Sam Altman

Recommendations:

Crystal Nights by Greg Egan

The Last Question by Isaac Asimov

The Gentle Seduction by Marc Stiegler

“Meditations on Moloch” by Scott Alexander

If you enjoyed this episode, check out our previous conversation “Is A.I. the Problem? Or Are We?”

You can find transcripts (posted midday) and more episodes of "The Ezra Klein Show" at nytimes.com/ezra-klein-podcast, and you can find Ezra on Twitter @ezraklein.

Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.

“The Ezra Klein Show” is produced by Annie Galvin, Jeff Geld and Rogé Karma; fact-checking by Michelle Harris; original music by Isaac Jones; mixing by Jeff Geld, audience strategy by Shannon Busta. Special thanks to Kristin Lin.

  continue reading

309 에피소드

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icon공유
 
Manage episode 294667839 series 2858887
New York Times Opinion에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 New York Times Opinion 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

“The technological progress we make in the next 100 years will be far larger than all we’ve made since we first controlled fire and invented the wheel,” writes Sam Altman in his essay “Moore’s Law for Everything.” “This revolution will generate enough wealth for everyone to have what they need, if we as a society manage it responsibly.”

Altman is the C.E.O. of OpenAI, one of the biggest, most important players in the artificial intelligence space. His argument is this: Since the 1970s, computers have gotten exponentially better even as they’re gotten cheaper, a phenomenon known as Moore’s Law. Altman believes that A.I. could get us closer to Moore’s Law for everything: it could make everything better even as it makes it cheaper. Housing, health care, education, you name it.

But what struck me about his essay is that last clause: “if we as a society manage it responsibly.” Because, as Altman also admits, if he is right then A.I. will generate phenomenal wealth largely by destroying countless jobs — that’s a big part of how everything gets cheaper — and shifting huge amounts of wealth from labor to capital. And whether that world becomes a post-scarcity utopia or a feudal dystopia hinges on how wealth, power and dignity are then distributed — it hinges, in other words, on politics.

This is a conversation, then, about the political economy of the next technological age. Some of it is speculative, of course, but some of it isn’t. That shift of power and wealth is already underway. Altman is proposing an answer: a move toward taxing land and wealth, and distributing it to all. We talk about that idea, but also the political economy behind it: Are the people gaining all this power and wealth really going to offer themselves up for more taxation? Or will they fight it tooth-and-nail?

We also discuss who is funding the A.I. revolution, the business models these systems will use (and the dangers of those business models), how A.I. would change the geopolitical balance of power, whether we should allow trillionaires, why the political debate over A.I. is stuck, why a pro-technology progressivism would also need to be committed to a radical politics of equality, what global governance of A.I. could look like, whether I’m just “energy flowing through a neural network,” and much more.

Mentioned:

“Moore’s Law for Everything” by Sam Altman

Recommendations:

Crystal Nights by Greg Egan

The Last Question by Isaac Asimov

The Gentle Seduction by Marc Stiegler

“Meditations on Moloch” by Scott Alexander

If you enjoyed this episode, check out our previous conversation “Is A.I. the Problem? Or Are We?”

You can find transcripts (posted midday) and more episodes of "The Ezra Klein Show" at nytimes.com/ezra-klein-podcast, and you can find Ezra on Twitter @ezraklein.

Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.

“The Ezra Klein Show” is produced by Annie Galvin, Jeff Geld and Rogé Karma; fact-checking by Michelle Harris; original music by Isaac Jones; mixing by Jeff Geld, audience strategy by Shannon Busta. Special thanks to Kristin Lin.

  continue reading

309 에피소드

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