When best-selling thriller writer Douglas Preston began playing around with OpenAI's new chatbot, ChatGPT, he was, at first, impressed. But then he realized how much in-depth knowledge GPT had of the books he had written. When prompted, it supplied detailed plot summaries and descriptions of even minor characters. He was convinced it could only pull that off if it had read his books. Large language models, the kind of artificial intelligence underlying programs like ChatGPT, do not come into the world fully formed. They first have to be trained on incredibly large amounts of text. Douglas Preston, and 16 other authors, including George R.R. Martin, Jodi Piccoult, and Jonathan Franzen, were convinced that their novels had been used to train GPT without their permission. So, in September, they sued OpenAI for copyright infringement. This sort of thing seems to be happening a lot lately–one giant tech company or another "moves fast and breaks things," exploring the edges of what might or might not be allowed without first asking permission. On today's show, we try to make sense of what OpenAI allegedly did by training its AI on massive amounts of copyrighted material. Was that good? Was it bad? Was it legal? Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney. Learn more about sponsor message choices: podcastchoices.com/adchoices NPR Privacy Policy

When Lina Khan was in law school back in 2017, she wrote a law review article called 'Amazon's Antitrust Paradox,' that went kinda viral in policy circles. In it, she argued that antitrust enforcement in the U.S. was behind the times. For decades, regulators had focused narrowly on consumer welfare, and they'd bring companies to court only when they thought consumers were being harmed by things like rising prices. But in the age of digital platforms like Amazon and Facebook, Khan argued in the article, the time had come for a more proactive approach to antitrust. Just four years later, President Biden appointed Lina Khan to be the Chair of the Federal Trade Commission, one of the main government agencies responsible for enforcing antitrust in America, putting her in the rare position of putting some of her ideas into practice. Now, two years into the job, Khan has taken some big swings at big tech companies like Meta and Microsoft. But the FTC has also faced a couple of big losses in the courts. On today's show, a conversation with FTC Chair Lina Khan on what it's like to try to turn audacious theory into bureaucratic practice, the FTC's new lawsuit against Amazon, and what it all means for business as usual. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney. Learn more about sponsor message choices: podcastchoices.com/adchoices NPR Privacy Policy