61 min listen
A Skeptical Take on the A.I. Revolution
ratings:
Length:
72 minutes
Released:
Jan 6, 2023
Format:
Podcast episode
Description
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 MarcusBook Recommendations:The Language Instinct by Steven PinkerHow the World Really Works by Vaclav SmilThe Martian by Andy WeirThoughts? 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.
Released:
Jan 6, 2023
Format:
Podcast episode
Titles in the series (100)
Why Adults Lose the ‘Beginner’s Mind’: Here’s a sobering thought: The older we get, the harder it is for us to learn, to question, to reimagine. This isn’t just habit hardening into dogma. It’s encoded into the way our brains change as we age. And it’s worsened by an intellectual and economic culture that prizes efficiency and dismisses play. Alison Gopnik is a professor of psychology and philosophy at the University of California, Berkeley, where she runs the Cognitive Development and Learning Lab; she’s also the author of over 100 papers and half a dozen books, including “The Gardener and the Carpenter” and “The Philosophical Baby.” What I love about her work is she takes the minds of children seriously. The child’s mind is tuned to learn. They are, she writes, the R. & D. departments of the human race. But a mind tuned to learn works differently from a mind trying to exploit what it already knows. So instead of asking what children can learn from us, perhaps we need to reverse the by The Ezra Klein Show