The Federal Reserve has a lot of official statistics it can look at to try and gauge the state of the overall economy. But there's also room for incorporating on-the-ground anecdotes and real-time color. When it comes to collecting this kind of information, Richmond Fed President Tom Barkin might be the biggest road warrior on the FOMC. In mid-April, Odd Lots tagged alongside Barkin as he undertook one of his many trips around his district, speaking to local businesses about what they're seeing in terms of inflation, consumer demand, and the labor market. We traveled with him to North Carolina, making stops in Mount Airy, Winston-Salem and Yadkinville, to better understand what it is that a regional Fed president actually does when he's collecting info on the ground, and how it informs his thinking. It's a rare inside look at the day-to-day work of a Fed president. In this episode, you'll learn what kind of questions Barkin is asking businesses. And you'll learn about some local businesses themselves — everything from carport manufacturing to producing thermal underwear to spinning yarn. We also take a look at some of the big picture challenges facing America's smaller towns, including shrinking populations, a shortage of housing, and the scarcity of essential services like childcare.

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In 2022, Congress passed the CHIPS Act, which set aside tens of billions of dollars in loans and grants in order to encourage companies to build new semiconductor fabs in the United States. We're still very early in the process. It's going to be a long time before we know if the US will become a major player again in the production of advanced chips. But the process is well underway and the bulk of the awards have been officially announced, with much of the money going to Intel, Samsung, TSMC, and others. So how did the grants get allocated — and what's next? On this episode of Lots More, we speak with Bloomberg News reporter Mackenzie Hawkins on the latest developments.

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Breakthroughs in generative AI have created enormous opportunities for humans to learn from computers. We can use them to explain the news, understand historical concepts, fix our coding errors, and so forth. But of course, AI also has to learn from human. The technology digests enormous amounts of written text, and often relies on human feedback to calibrate its models. Luis von Ahn has been at the forefront of these back and forth interactions for years. He is currently the CEO and co-founder of Duolingo, the language learning app, but prior to that, he was one of the original developers of CAPTCHAs, the little puzzles you solve to log into websites and prove that you're a human. And of course, in the process of proving your humanity, you're also training computers to get better at identifying red lights, cross walks, bicycles and wavy letters. On this episode, we discuss the history of his work, the future of CAPTCHAs, the success of Duolingo and how he is using today's advanced AI models in aid of language learnings.

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