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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In the past, the most expensive housing in any major city would be connected in some way to the economics of the city itself. If the general market was weak, the high end was also weak. If the general market was strong, then the high end was strong. But increasingly in cities like NYC, Aspen, Dubai, Miami, and elsewhere, the ultra high end exists in a different market, where the rich splash around money at levels which are completely disconnected from the local environment. At these levels, the ultra-wealthy are engaging in a global game of one-upmanship, where a higher price tag, perversely, can make a given property even more tantalizing. On this episode we speak with Hiten Samtani, founder of ten31 Media, which focuses on real estate, about how this market has developed. We talk through the deals, brokers, the buyers, and the general economics of this ultra-premium tier. We also discuss the rise of branded condos -- or those with the Mercedes or Porsche imprimatur -- and how they're reshaping the real estate landscape.

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When most investors think of due diligence, they think of sifting through years of financial statements and crunching numbers to better understand a company's potential. Not many people think about interrogating senior executives and employees, and asking the right questions to figure out whether they're telling the truth about the business model. In this episode, we speak with Phil 'Dick' Houston, a veteran CIA officer who's been called the human lie detector. Phil literally wrote the book on how to spot lies, and has been a long-time collaborator of entrepreneur and serial acquirer Brad Jacobs, helping him with due diligence on both senior hires and potential investments. In this episode, Phil explains his strategy for identifying deceptive behavior and how it can be applied to the corporate world.

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 AI is all the rage right now. There are billions of dollars now flowing into the space, with large and small companies all competing to create the next big thing. But in addition to lots of money, building new AI models requires top-tier researchers. So, who's attracting the best? And what does it take to be considered top talent in AI anyway? On this episode we speak with Damien Ma, managing director at MacroPolo, the in-house think tank of the Paulson Institute. Damien helps put together MacroPolo's Global AI Talent Tracker, which monitors the flow of top-tier AI researchers around the world. We discuss who's winning the AI talent war so far, the purported talent drain in China, competition from India, and much more.

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Over the last year or so, probably every venture capitalist has become interested in artificial intelligence. So people are still figuring out what types of business models actually work, and who will end up making money in the space. Josh Wolfe has been at it for a long time. As a co-founder and managing partner at Lux Capital, he's been involved in a number of deals in the space, and is already looking at what's next after the wave of excitement for chatbots since ChatGPT was released. On this episode, we talk to Josh about what he's excited about right now, including robotics, biotech, and maintenance. He tells us that just as ChatGPT opened everyone's eyes to the power of chatbots, a similar moment is coming in the robotics space.

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At the end of 2023, there was a lot of optimism that the US economy was on that glide path to a soft landing. But at least in the first quarter of this year, inflation has come in hotter than expected. So is this just a speedbump on the way back down to 2%? Or is this a new trajectory for inflation that will make the Federal Reserve rethink its existing approach? On this bonus episode of Odd Lots, we caught up with Richmond Fed President Tom Barkin in Mount Airy, North Carolina, to get his assessment of the latest data, and what it means for policy. He explains why he thinks policy is still restrictive, and why he doesn’t see evidence yet of overheating demand.

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On June 2, 2024, Mexicans will go to the polls to elect a successor to current President Andrés Manuel López Obrador. His chosen successor, former Mexico City Mayor Claudia Sheinbaum, is the odds-on favorite. But what is AMLO’s legacy exactly? In some sense, economic growth under his administration has been robust. On the other hand, there’s been very little progress on domestic security. He also leaves a legacy of massive spending routed through the military, whose fruits are still undetermined. On this episode, we speak with Bloomberg News reporter Andrea Navarro, who has dug deep into how AMLO has conducted economic policy, his approach to industrial and fiscal policy, and whether Mexico is now in a position to ride the ongoing wave of trade with the US and the nearshoring of international supply chains.

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Over the last few years, users of the popular ADHD drug Adderall have been frustrated by regular shortages in getting their prescriptions filled. Various regulatory and supply chain factors have contributed to the inability of producers to keep up with demand. But this raises the question: why is there so much demand in the first place? How did a significant chunk of the labor force -- from tech workers to Wall Streeters -- begin using the drug as an aid for their work and everyday lives? On this episode of the podcast, we speak with Danielle Carr, an assistant professor at the Institute for Society and Genetics at UCLA, who studies the history of politics of neuroscience and psychology. We discuss the history of this medicine and related medicines, what it does for the people who take it, and how market forces opened the drug up to almost anyone.

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For years and years, utilities in the US haven't seen much growth in electricity demand. The economy is generally mature and has been able to grow even without needing much more electrical power. But all that's changing now and a big contributing factor is the boom in datacenter demand. It's particularly acute for AI datacenters, which need more power than traditional datacenters, and are growing like crazy ever since ChatGPT brought generative AI to everyone's collective consciousness. So how will utilities handle the sudden surge in load growth? On this episode, we speak with Brian Janous, co-founder and chief strategy officer at Cloverleaf Infrastructure. Brian spent 12 years at Microsoft, where he was the company's first ever energy-focused hire, so he has seen the rise of datacenter electricity consumption first hand, and how AI is kicking it up even further. He now works alongside utilities to figure out how they'll meet this growing demand. We talk about how there's likely to be more gas plants being built, how datacenters and utilities can get more energy out of existing infrastructure, the politics of AI datacenters, and what this all means for the net-zero commitments of major tech companies.

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The audio companion to Bloomberg Opinion’s beloved Money Stuff column hosted by its author Matt Levine, “whose deadpan style mixes technical elucidation and wit” (NY Times). Once a week, Matt and his friend, Bloomberg News reporter and TV host, Katie Greifeld talk about Wall Street, finance and…other stuff. New episodes every Friday.

Listen on Apple Podcasts, Spotify, or wherever you get your podcasts. 

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