What's Your Problem?

Recycling plants take in a huge amount of random (and occasionally hazardous) stuff, which they then have to turn into reliable outputs that their customers will buy. That’s why Rebecca Hu Thrams calls recycling “the most demented form of manufacturing on the planet.” Rebecca is the co-founder of Glacier, and her problem is this: Can you use AI and robots to make recycling a somewhat less demented business?

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AI  might be the most consequential advancement in the world right now. But – astonishingly – no one fully understands what’s going on inside AI models. Josh Batson is a research scientist at Anthropic, the AI company behind Claude, one of the world’s leading language models. Josh’s problem is this: How do we learn how AI works?

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AI is better than humans at a lot of things, but physical tasks – even seemingly simple ones like folding a shirt – routinely stump AI-powered robots. Chelsea Finn is a professor at Stanford and the co-founder of Physical Intelligence. Chelsea's problem is this: Can you build an AI model that  can teach any robot to do any task, anywhere?

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Jacob Glanville is the founder and CEO of Centivax. Jacob’s problem is this: Can you create a vaccine that protects people against almost all strains of flu – even strains that haven’t evolved yet?

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Alex Wiltschko got obsessed with perfume when he was 12 years old. He grew up to be an AI researcher at Google. Then he started Osmo, a company that fused his job at Google with his childhood obsession: Osmo is using AI to teach computers to smell.

The company is getting into the perfume business, and it plans eventually to use scent to diagnose disease and detect security risks.

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Nick Jacobson and his team at Dartmouth medical school spent over 100,000 hours trying to build an AI chatbot that can serve as a safe, effective therapist. After a few false starts, they seem to be on to something.

Note: This episode contains references to self harm.

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This week, Nate and Maria discuss AI 2027, a new report from the AI Futures Project that lays out some pretty doom-y scenarios for our near-term AI future. They talk about how likely humans are to be misled by rogue AI, and whether current conflicts between the US and China will affect the way this all unfolds. Plus, Nate talks about the feedback he gave the AI 2027 writers after reading an early draft of their forecast, and reveal...

Blake Scholl is the founder and CEO of Boom Supersonic. Blake's problem is this: Can you build a commercial airplane that flies faster than the speed of sound – and that makes economic sense?

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Fiorenzo Omenetto is a professor of biomedical engineering at Tufts University and the director of Silklab. Fiorenzo's problem is this: How do you turn a material people have been using for thousands of years into useful, cutting edge tools that  improve everything from vaccine delivery to food waste?

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A few years ago, a ransomware gang called LockBit rose from obscurity to extort over $100 million from organizations around the world. A security strategist named Jon DiMaggio wanted to understand how the organization worked. So he used the techniques of World War II-era spycraft to make contact with the hackers.

On today’s show, Jon tells the story of LockBit – from the way it borrowed techniques from mainstream...

Christopher Kirchhoff helped launch a Defense Department office that aimed to bring Silicon Valley technology to the US military.  Christopher’s problem is this: How can the giant bureaucracy that is the US military keep up with technological change?

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Jared Baeten is senior vice president in virology at Gilead Sciences. Jared's problem is this: In a world without a vaccine, how do you make a medicine that people will actually take to help prevent HIV?

There’s already a daily pill that reduces the risk of getting HIV, but a majority of people who are at high risk are unwilling or unable to take it.

So Jared and his colleagues are developing a new drug, lenacap...

We need better, cheaper ways to store solar and wind energy when it’s dark out and the wind isn’t blowing.

One option: Compressing air in underground caverns when energy is abundant, then blowing it back out to create energy when you need it. It’s an old idea, but it has some fundamental problems.

Curtis VanWalleghem, the co-founder and CEO of Hydrostor, thinks his company has solved those problems...

There are moments in history when people make huge technological advances all of a sudden. Think of the Manhattan Project, the Apollo missions, or, more recently, generative AI. But what do these moments have in common? Is there some set of conditions that lead to massive technological leaps?

Byrne Hobart is the author of a finance newsletter called The Diff, and the co-author of Boom: Bubbles and the End of Stagnation. In the book...

AI works well in the virtual world. That’s partly because the internet provides so much data to train AI models. But there’s no analogous data set for the physical world – and as a result, AI doesn’t work as well there… yet.

 Edward Mehr is the co-founder and CEO of Machina Labs. Edward's problem is this: How can you use AI to turn robots from dumb, inflexible machines into skilled, versatile craftsme...

In the past few years,  NVIDIA has become one of the most valuable and important companies in the world by making GPUs, the chips powering the AI boom. But where did the company come from, and why are NVIDIA chips the ones that dominate AI?

Tae Kim is the author of a new book called The Nvidia Way. In his book, he tells the story of how NVIDIA’s founder and CEO, Jensen Huang, set NVIDIA on the path to becoming what it...