
Sign up to save your podcasts
Or


AI companies want all the data, everywhere, to make their models bigger and better. That means a lot of questions about piracy and copyright, and at least in one case it means Anthropic systematically destroying countless books just to feed them to the model. The Washington Post's Will Oremus joins the show to explain how that worked, why Anthropic, Meta, OpenAI and others are doing it, and what the law has to say. Then, Puck's Julia Alexander helps David figure out whether Netflix is serious about showing movies in theaters, and what theaters need to do to survive in the entertainment business going forward.
Further reading:
Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to [email protected] or call us at 866-VERGE11.
Learn more about your ad choices. Visit podcastchoices.com/adchoices
By The Verge4.3
36883,688 ratings
AI companies want all the data, everywhere, to make their models bigger and better. That means a lot of questions about piracy and copyright, and at least in one case it means Anthropic systematically destroying countless books just to feed them to the model. The Washington Post's Will Oremus joins the show to explain how that worked, why Anthropic, Meta, OpenAI and others are doing it, and what the law has to say. Then, Puck's Julia Alexander helps David figure out whether Netflix is serious about showing movies in theaters, and what theaters need to do to survive in the entertainment business going forward.
Further reading:
Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to [email protected] or call us at 866-VERGE11.
Learn more about your ad choices. Visit podcastchoices.com/adchoices

7,863 Listeners

10,725 Listeners

2,679 Listeners

9,748 Listeners

3,656 Listeners

2,012 Listeners

3,143 Listeners

3,150 Listeners

556 Listeners

2,141 Listeners

1,391 Listeners

511 Listeners

989 Listeners

730 Listeners

1,219 Listeners

1,493 Listeners

971 Listeners

2,163 Listeners

35 Listeners

23,583 Listeners

737 Listeners

5,595 Listeners

6,488 Listeners

2,316 Listeners

1,220 Listeners

160 Listeners

1,801 Listeners

397 Listeners

1,479 Listeners

439 Listeners

30 Listeners

49 Listeners