What's Your Problem?

A few weeks ago, Jacob Goldstein sat down with a writer and a composer on a stage in Chicago to talk about artificial intelligence. The conversation, which was part of the Chicago Humanities Festival, aimed to answer a big question: will AI kill creativity?

The writer, Stephen Marche, is the author of several nonfiction books and novels. Earlier this year he tried something new: he used AI to help him write a novel called Death of an Author. (That book was published in audio form by Pushkin Industries.)

The composer, Lucas Cantor, has won two Emmys for his work scoring the Olympics for NBC and co-produced a Lorde song that was in one of the Hunger Games movies. And he used AI to help him write an end to Schubert’s unfinished symphony.

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Jigar Shah is the director of the Loan Programs Office at the U.S. Department of Energy. Last year, as part of the Inflation Reduction Act, Congress allocated hundreds of billions of dollars for Jigar’s office to lend out.

The loans are supposed to go to companies that are helping the U.S. economy move away from fossil fuels. That can mean everything from building new nuclear plants to creating a giant hydrogen battery in an underground salt cavern.

Jigar’s problem is this: What’s the best way to lend out all that money – and do it fast enough for the U.S. to meet its climate goals.

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Pushmeet Kohli is vice president of research at DeepMind, an AI research group that is part of Google.

Every protein has a unique shape. And understanding a protein’s shape is key to understanding how proteins work to keep us healthy, and what goes wrong when we get sick. But, for decades, figuring out the shape of a protein was a hard problem that could take years of work.

Then Pushmeet and his colleagues built an AI model called AlphaFold that could accurately predict the shape of hundreds of millions of proteins. It’s one of the most impressive real-world AI success stories that we’ve seen so far. And it turns out that the lessons of AlphaFold also hold broader lessons for solving problems with AI.

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Forrest Meyen is the co-founder and Chief Strategy Officer of Lunar Outpost, a company that builds machines that go to places like Mars and, if everything goes according to plan, the moon. The company is betting that the private space boom of the past decade will soon go beyond Earth’s orbit to the moon and beyond.

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Brannin McBee is the co-founder and Chief Strategy Officer at CoreWeave.

A few years ago, he and a few friends started buying hardware to mine cryptocurrency. It turns out, the same hardware -- chips known as GPUs -- is essential for running state-of-the-art AI models. Today, Brannin and his friends have turned their hobby into a company that’s competing against some of the biggest companies in the world to provide the hardware and computing power to run AI.

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Sam Bankman-Fried, the former crypto mogul, is on trial for fraud. On today’s show, we talk to Lidia Jean Kott, who is covering the trial for another Pushkin show, about a dramatic day in court. Caroline Ellison, former co-CEO of Alameda Research and Sam Bankman-Fried’s ex-girlfriend, took the stand. She recently pleaded guilty to fraud, and is cooperating with the prosecution.

Hear Against the Rules with Michael Lewis: The Trial of Sam Bankman-Fried wherever you get your podcasts.

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Christina Smolke is the co-founder and CEO of Antheia. Antheia is a synthetic biology company -- they’re in the business of genetically engineering microorganisms to produce commercial products.

Christina’s problem is this: How do you turn yeast cells into tiny factories to create the active ingredients in generic drugs. If Christina and her team solve this problem, they won’t solve the drug shortage problem entirely. But they might help make it better.

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Stephen Klein is the co-founder and CEO of Hyphen, a company that is developing an automated make line. Stephen's problem is this: How do you make restaurant food from fresh ingredients... cheaper?

Chipotle invested in Hyphen, whose automated system could soon be preparing online orders at thousands of Chipotle outlets.

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Simon Johnson is an MIT economist and the co-author of a new book called “Power and Progress: Our Thousand-Year Struggle over Technology and Prosperity”.

Simon’s problem is this: How do you create the conditions for technological change to benefit many people, rather than just a powerful few?

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Sal Khan is the founder and CEO of Khan Academy. Sal’s problem is this: How do you design an AI that can give students the kind of benefits they’d get from working with a human tutor?

Earlier this year, Khan Academy launched Khanmigo, an AI tutor built on top of GPT4.  The idea is to use AI to give more kids access to one-on-one tutoring, and help human teachers with their work as well.

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