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Jan 15 2025 5 ep. 45 mins 10

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Nathan Lambert on the rise of "thinking" language models

Jan 15 2025 60 mins

Nathan Lambert is the author of the popular AI newsletter Interconnects. He is also a research scientist who leads post-training at the Allen Institute for Artificial Intelligence, a research organization funded by the estate of Paul Allen. This means that the organization can afford to train its own models—and it’s one of the only such organizations committed to doing so in an

Jon Askonas on AI policy in the Trump era

Jan 14 2025 65 mins

I’m excited to announce I’m launching a new podcast with Dean W. Ball, a research fellow at the Mercatus Center. Every week we’ll talk to leading experts about the future of AI technology and policy.I’ll be cross-posting the first two episodes here at Understanding AI, but most of the conversation will not be cross-posted. So if you want to listen to them, you’ll need to

What's ahead for large language models?

Jan 05 2024 39 mins

This is a free preview of a paid episode. To hear more, visit www.understandingai.orgOnce a month I have a conversation with Robert Wright about the state of AI. This month we discuss a number of recent developments that could provide clues about what’s ahead, including Google’s Gemini, the recent Mamba paper, and new efforts to generate synthetic training data. We also discuss

What the heck happened at OpenAI?

Nov 30 2023 50 mins

This is a free preview of a paid episode. To hear more, visit www.understandingai.orgI’m a long-time fan of Robert Wright, a journalist and author who writes about topics from foreign policy to human psychology. Recently Bob has become intensely interested in AI, and he’s had me on his podcast a couple of times this year. We enjoyed those conversations so much that we’ve deci

How human translators are coping with competition from powerful AI

Jul 05 2023 12 mins

When ChatGPT was released last fall, a lot of white-collar workers had a chilling thought: “could this technology do my job?” But for one white-collar profession—translators—this stopped being a theoretical question years ago. Powerful machine translation software has been on the market since 2017. I talked to translators to see how they are dealing with the competition. Th