Would you say that you and your family are better off or worse off, financially, than you were a year ago? Do you think in 12 months we'll have good times, financially, or bad? Generally speaking, do you think now is a good time or a bad time to buy a house? These are the kinds of questions baked into the Consumer Sentiment Index. And while the economy has been humming along surprisingly well lately, sentiment has stayed surprisingly low.Today on the show: We are really bummed about the economy, despite the fact that unemployment and inflation are down. So, what gives? We talk to a former Fed economist trying to get to the heart of this paradox, and travel to Michigan to check in on the place where they check the vibes of the economy. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

In the state of Oregon, there is a glut of grass. A wealth of weed. A crisis of chronic. And, jokes aside, it's a real problem for people who work in the cannabis industry like Matt Ochoa. Ochoa runs the Jefferson Packing House in Medford, Oregon, which provides marijuana growers with services like drying, trimming and packing their product. He has seen literal tons of usable weed being left in marijuana fields all over the state of Oregon. Because, Ochoa says, there aren't enough buyers. There are just over four million people in Oregon, and so far this year, farmers have grown 8.8 million pounds of weed. Which means there's nearly a pound of dried, smokable weed for every single person in the state of Oregon. As a result, the sales price for legal marijuana in the last couple of years has plummeted.Economics has a straightforward solution for Oregon's overabundance problem: trade! But, Oregon's marijuana can only be sold in Oregon. No one in any state can legally sell weed across state lines, because marijuana is still illegal under federal law. On today's episode, how a product that is simultaneously legal and illegal can create some... sticky business problems. Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

Here at Planet Money, Thanksgiving is not just a time to feast on turkey, stuffing, mashed potatoes, green bean casseroles and pie(s). It's also a time to feast on economics. Today, we host a very Planet Money Thanksgiving feast, and solve a few economic questions along the way.First: a turkey mystery. Around the holidays, demand for turkey at grocery stores goes up by as much as 750%. And when turkey demand is so high, you might think that the price of turkey would also go up. But data shows, the price of whole turkeys actually falls around the holidays; it goes down by around 20%. So what's going on? The answer has to do what might be special about supply and demand around the holidays. We also reveal what is counted (and not counted) in the ways we measure the economy. And we look to economics to help solve the perennial Thanksgiving dilemma: Where should each dinner guest sit? Who should sit next to whom? This episode was hosted by Erika Beras and Jeff Guo. It was produced by James Sneed with an assist from Emma Peaslee and edited by Jess Jiang. It was fact-checked by Sierra Juarez and engineered by Josh Newell. 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.

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."

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.

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.

Collaboration is the new competition: that was French entrepreneur Lucie Basch’s philosophy when she approached a group of Danish founders who happened to be working on a similar food waste reduction app. Before long, Lucie and her new co-founders joined forces to create Too Good To Go, an app that enables restaurants and grocery stores to sell leftover items in ‘surprise bags’ at a significantly reduced price. Since launching in 2016, Too Good To Go has raised over $30 million dollars and has expanded to 17 countries, including the U.S.This week on How I Built This Lab, Lucie talks with Guy about her company’s work to leverage the ‘horizontal power’ of consumers to collectively chip away at global food waste. She also discusses the emergence of social enterprises like hers, that fill the gap between charitable and purely profit-driven organizations.This episode was produced by Sam Paulson, with music by Sam Paulson and Ramtin Arablouei.Edited by John Isabella, with research help from Lauren Landau Einhorn.Our audio engineer was Neal Rauch.You can follow HIBT on Twitter & Instagram, and email us at hibt@id.wondery.com.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

When Ted Xenohristos and two childhood friends opened their first sit-down Greek restaurant in 2006, they had no idea it would eventually grow into CAVA, a sprawling national chain that serves stuffed pita sandwiches and salads. Raised by Greek immigrants, the three founders understood how to make great food, but were rookies at running a restaurant–maxing out their credit cards, and learning the hard way that you should never write dinner orders on sticky-notes. As the restaurant tried to raise its profile by selling its hummus and tzatziki to grocery stores, it continued to lose money. But eventually the founders decided to hire Brett Schulman as their boss. Brett had invaluable experience in the snack food industry, and predicted that CAVA’s Mediterranean cooking would take off among health-conscious diners. He was right. Today, CAVA is a publicly-traded company with over 280 restaurants across the country.This episode was produced by Sam Paulson with music by Ramtin Arablouei and Sam Paulson.Edited by Neva Grant, with research from Rommel Wood.Our engineers were Gilly Moon and Patrick Murray.You can follow HIBT on Twitter & Instagram, and email us at hibt@id.wondery.com.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Waymo Co-CEO Dmitri Dolgov is convinced that his company’s vehicles are better at driving than any human. Dmitri has spent thousands of hours riding in them, and recently Guy had the chance to try one out as well...This week on How I Built This Lab, Dmitri recounts the decade-plus journey of building Waymo into the world’s first company to operate a fully-autonomous ride hailing service. Plus, how Waymo’s approach differs from Tesla’s, and Dmitri’s take on when we’ll see more AV’s on the roads than human-driven cars (spoiler: sooner than you may think!)This episode was produced by Kerry Thompson with music by Ramtin Arablouei. It was edited by John Isabella with research help from Chris Maccini. Our audio engineer was Neal Rauch. You can follow HIBT on X & Instagram, and email us at hibt@id.wondery.com.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

When Michael Preysman founded Everlane, he knew nothing about fashion–he just wanted to see if he could build an online platform that would generate buzz around anything. He started with a cotton T-shirt, and taught himself every stage of production, from sourcing the fabric, to cutting, dyeing, and finishing. When Michael realized that some luxury brands charged as much as seven times the actual cost of a T-shirt, he decided to sell his for $15, and soon caused a stir by telling the world exactly what it cost to make. Eventually the brand shifted its focus to sustainability and social responsibility, a strategy that invited harsh criticism, especially during the Covid era. Today, Everlane is a multi-million dollar business that has expanded to sweaters, denim, outerwear, and accessories.This episode was produced by J.C. Howard, with music by Ramtin ArabloueiEdited by Neva Grant, with research help from Sam Paulson.Our audio engineer was Gilly Moon.You can follow HIBT on Twitter & Instagram, and email us at hibt@id.wondery.com.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.