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Some of the most influential and beloved novels of the last few years have been about money, finance, and the global economy. Some overtly so, others more subtly. It got to the point where we just had to call up the authors to find out more: What brought them into this world? What did they learn? How were they thinking about economics when they wrote these beautiful books? Today on the show: we get to the bottom of it. We talk to three bestselling contemporary novelists — Min Jin Lee (Pachinko and Free Food for Millionaires), Emily St. John Mandel (Station Eleven, The Glass Hotel and Sea of Tranquility), and Hernan Diaz (Trust, In the Distance) – about how the hidden forces of economics and money have shaped their works.This episode was hosted by Mary Childs and Alexi Horowitz-Ghazi. It was produced by Willa Rubin, edited by Molly Messick, and engineered by Neisha Heinis. Fact-checking by Sierra Juarez. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.Always free at these links: Apple Podcasts, Spotify, Google Podcasts, the NPR app or anywhere you get podcasts.Find more Planet Money: Facebook / Instagram / TikTok / Our weekly Newsletter.Music: Universal Music Production - "This Summer," "Music Keeps Me Dancing," "Rain," and "All The Time."Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

China's economic growth for the past few decades has been extraordinary. And much of that growth was fueled by real estate – it was like this miraculous economic engine for the country. But recently, that engine seems to have stopped working. And that has raised all kinds of questions not just for China but also for the global economy. Today on the show, we look at what's happening inside China's real estate market. And we try to answer the question: how did we get here?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/adchoicesNPR Privacy Policy

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/adchoicesNPR Privacy Policy