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A Skeptical Take on the A.I. Revolution

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Nội dung được cung cấp bởi New York Times Opinion. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được New York Times Opinion hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

The year 2022 was jam-packed with advances in artificial intelligence, from the release of image generators like DALL-E 2 and text generators like Cicero to a flurry of developments in the self-driving car industry. And then, on November 30, OpenAI released ChatGPT, arguably the smartest, funniest, most humanlike chatbot to date.

In the weeks since, ChatGPT has become an internet sensation. If you’ve spent any time on social media recently, you’ve probably seen screenshots of it describing Karl Marx’s theory of surplus value in the style of a Taylor Swift song or explaining how to remove a sandwich from a VCR in the style of the King James Bible. There are hundreds of examples like that.

But amid all the hype, I wanted to give voice to skepticism: What is ChatGPT actually doing? Is this system really as “intelligent” as it can sometimes appear? And what are the implications of unleashing this kind of technology at scale?

Gary Marcus is an emeritus professor of psychology and neural science at N.Y.U. who has become one of the leading voices of A.I. skepticism. He’s not “anti-A.I.”; in fact, he’s founded multiple A.I. companies himself. But Marcus is deeply worried about the direction current A.I. research is headed, and even calls the release of ChatGPT A.I.’s “Jurassic Park moment.” “Because such systems contain literally no mechanisms for checking the truth of what they say,” Marcus writes, “they can easily be automated to generate misinformation at unprecedented scale.”

However, Marcus also believes that there’s a better way forward. In the 2019 book “Rebooting A.I.: Building Artificial Intelligence We Can Trust” Marcus and his co-author Ernest Davis outline a path to A.I. development built on a very different understanding of what intelligence is and the kinds of systems required to develop that intelligence. And so I asked Marcus on the show to unpack his critique of current A.I. systems and what it would look like to develop better ones.

This episode contains strong language.

Mentioned:

On Bullshit” by Harry Frankfurt

AI’s Jurassic Park moment” by Gary Marcus

Deep Learning Is Hitting a Wall” by Gary Marcus

Book Recommendations:

The Language Instinct by Steven Pinker

How the World Really Works by Vaclav Smil

The Martian by Andy Weir

Thoughts? Email us at ezrakleinshow@nytimes.com. Guest suggestions? Fill out this form.

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. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.

“The Ezra Klein Show” is produced by Emefa Agawu, Annie Galvin, Jeff Geld, Rogé Karma and Kristin Lin. Fact-checking by Mary Marge Locker and Kate Sinclair. Original music by Isaac Jones. Mixing by Jeff Geld and Sonia Herrero. Audience strategy by Shannon Busta. The executive producer of New York Times Opinion audio is Annie-Rose Strasser.

  continue reading

305 tập

Artwork
iconChia sẻ
 
Manage episode 351784054 series 2858887
Nội dung được cung cấp bởi New York Times Opinion. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được New York Times Opinion hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

The year 2022 was jam-packed with advances in artificial intelligence, from the release of image generators like DALL-E 2 and text generators like Cicero to a flurry of developments in the self-driving car industry. And then, on November 30, OpenAI released ChatGPT, arguably the smartest, funniest, most humanlike chatbot to date.

In the weeks since, ChatGPT has become an internet sensation. If you’ve spent any time on social media recently, you’ve probably seen screenshots of it describing Karl Marx’s theory of surplus value in the style of a Taylor Swift song or explaining how to remove a sandwich from a VCR in the style of the King James Bible. There are hundreds of examples like that.

But amid all the hype, I wanted to give voice to skepticism: What is ChatGPT actually doing? Is this system really as “intelligent” as it can sometimes appear? And what are the implications of unleashing this kind of technology at scale?

Gary Marcus is an emeritus professor of psychology and neural science at N.Y.U. who has become one of the leading voices of A.I. skepticism. He’s not “anti-A.I.”; in fact, he’s founded multiple A.I. companies himself. But Marcus is deeply worried about the direction current A.I. research is headed, and even calls the release of ChatGPT A.I.’s “Jurassic Park moment.” “Because such systems contain literally no mechanisms for checking the truth of what they say,” Marcus writes, “they can easily be automated to generate misinformation at unprecedented scale.”

However, Marcus also believes that there’s a better way forward. In the 2019 book “Rebooting A.I.: Building Artificial Intelligence We Can Trust” Marcus and his co-author Ernest Davis outline a path to A.I. development built on a very different understanding of what intelligence is and the kinds of systems required to develop that intelligence. And so I asked Marcus on the show to unpack his critique of current A.I. systems and what it would look like to develop better ones.

This episode contains strong language.

Mentioned:

On Bullshit” by Harry Frankfurt

AI’s Jurassic Park moment” by Gary Marcus

Deep Learning Is Hitting a Wall” by Gary Marcus

Book Recommendations:

The Language Instinct by Steven Pinker

How the World Really Works by Vaclav Smil

The Martian by Andy Weir

Thoughts? Email us at ezrakleinshow@nytimes.com. Guest suggestions? Fill out this form.

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. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.

“The Ezra Klein Show” is produced by Emefa Agawu, Annie Galvin, Jeff Geld, Rogé Karma and Kristin Lin. Fact-checking by Mary Marge Locker and Kate Sinclair. Original music by Isaac Jones. Mixing by Jeff Geld and Sonia Herrero. Audience strategy by Shannon Busta. The executive producer of New York Times Opinion audio is Annie-Rose Strasser.

  continue reading

305 tập

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