The Ezra Klein Show Folgen

This week, we’re revisiting some of our favorite episodes from the year. For those who make New Year’s resolutions, today’s conversation might plant the seed for a bold one: Running for office.Amanda Litman is a co-founder of Run for Something, which recruits and supports young, progressive candidates who want to run for office. We spoke in February 2022, but our conversation remains relevant as ever. It’s about the mechanics of American democracy, the confusions and myths that keep so many of us from participating in them and the practical question of what it means to step off the sidelines and, well, run for something. We also talk about why Democrats tend to chase “shiny objects” over real political power, what right-leaning organizations have been up to that liberals should envy, how you probably have more control over issues like abortion and climate change than you think, what it actually takes to run a local campaign, the three questions prospective candidates should be able to answer, and more.This is the rare conversation about democracy that left me feeling better, rather than worse, about what’s possible. I think it’ll do the same for you.This episode contains strong language.Mentioned:“Heeding Steve Bannon’s Call, Election Deniers Organize to Seize Control of the GOP — and Reshape America’s Elections” by Isaac Arnsdorf, Doug Bock Clark, Alexandra Berzon and Anjeanette DamonWhat It Takes by Richard Ben CramerFind out what elected offices you can run forBook recommendations:The Heart Principle by Helen HoangOlga Dies Dreaming by Xochitl GonzalezLet’s Get Physical by Danielle FriedmanThoughts? 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 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. Our executive producer is Irene Noguchi. Special thanks to Kristin Lin. Subscribe today at nytimes.com/podcasts or on Apple Podcasts, Spotify and Amazon Music. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This past year, we’ve witnessed considerable progress in the development of artificial intelligence, from the release of the image generators like DALL-E 2 to chat bots like ChatGPT and Cicero to a flurry of self-driving cars. So this week, we’re revisiting some of our favorite conversations about the rise of A.I. and what it means for the world. Today’s conversation is with Sam Altman. He’s the C.E.O. of OpenAI, the company behind ChatGPT. When I talked to him in June 2021, ChatGPT was still over a year away from being available to the public for testing. But the A.I. developments since then have only increased the salience of the questions Altman raised in his 2021 essay “Moore’s Law for Everything.” Altman’ 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.Mentioned: “Moore’s Law for Everything” by Sam AltmanRecommendations: Crystal Nights by Greg EganThe Last Question by Isaac AsimovThe Gentle Seduction by Marc Stiegler“Meditations on Moloch” by Scott Alexander 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 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. Subscribe today at nytimes.com/podcasts or on Apple Podcasts, Spotify and Amazon Music. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This past year, we’ve witnessed considerable progress in the development of artificial intelligence, from the release of the image generators like DALL-E 2 to chat bots like ChatGPT and Cicero to a flurry of self-driving cars. So this week, we’re revisiting some of our favorite conversations about the rise of A.I. and what it means for the world. Brian Christian’s “The Alignment Problem” is the best book on the key technical and moral questions of A.I. that I’ve read. At its center is the term from which the book gets its name. “Alignment problem” originated in economics as a way to describe the fact that the systems and incentives we create often fail to align with our goals. And that’s a central worry with A.I., too: that we will create something to help us that will instead harm us, in part because we didn’t understand how it really worked or what we had actually asked it to do.So this conversation, originally recorded in June 2021 is about the various alignment problems associated with A.I. We discuss what machine learning is and how it works, how governments and corporations are using it right now, what it has taught us about human learning, the ethics of how humans should treat sentient robots, the all-important question of how A.I. developers plan to make profits, what kinds of regulatory structures are possible when we’re dealing with algorithms we don’t really understand, the way A.I. reflects and then supercharges the inequities that exist in our society, the saddest Super Mario Bros. game I’ve ever heard of, why the problem of automation isn’t so much job loss as dignity loss and much more.Mentioned: “Human-level control through deep reinforcement learning”“Some Moral and Technical Consequences of Automation” by Norbert WienerRecommendations: "What to Expect When You're Expecting Robots"  by Julie Shah and Laura Major"Finite and Infinite Games" by James P. Carse "How to Do Nothing" by Jenny OdellThoughts? 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 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. Subscribe today at nytimes.com/podcasts or on Apple Podcasts, Spotify and Amazon Music. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.