Modern biology is advancing by leaps and bounds, not only in understanding how organisms work, but in learning how to modify them in interesting ways. One exciting frontier is the study of tiny "robots" created from living molecules and cells, rather than metal and plastic. Gizem Gumuskaya, who works with previous guest Michael Levin, has created anthrobots, a new kind of structure made from living human cells. We talk about how that works, what they can do, and what future developments might bring.

Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/04/29/274-gizem-gumuskaya-on-building-robots-from-human-cells/

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Gimez Gumuskaya received her Ph.D. from Tufts University and the Harvard Wyss Institute for Biologically-Inspired Engineering. She is currently a postdoctoral researcher at Tufts University. She previously received a dual master's degree in Architecture and Synthetic Biology from MIT.

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Humanity itself might be the hardest thing for scientists to study fairly and accurately. Not only do we come to the subject with certain inevitable preconceptions, but it's hard to resist the temptation to find scientific justifications for the stories we'd like to tell about ourselves. In his new book, The Invention of Prehistory, Stefanos Geroulanos looks at the ways that we have used -- and continue to use -- supposedly-scientific tales of prehistoric humanity to bolster whatever cultural, social, and political purposes we have at the moment.

Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/04/22/273-stefanos-geroulanos-on-the-invention-of-prehistory/

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Stefanos Geroulanos received his Ph.D. in humanities from Johns Hopkins. He is currently director of the Remarque Institute and a professor of history at New York University. He is the author and editor of a number of books on European intellectual history. He serves as a Co-Executive Editor of the Journal of the History of Ideas.

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Science is enabled by the fact that the natural world exhibits predictability and regularity, at least to some extent. Scientists collect data about what happens in the world, then try to suggest "laws" that capture many phenomena in simple rules. A small irony is that, while we are looking for nice compact rules, there aren't really nice compact rules about how to go about doing that. Today's guest, Leslie Valiant, has been a pioneer in understanding how computers can and do learn things about the world. And in his new book, The Importance of Being Educable, he pinpoints this ability to learn new things as the crucial feature that distinguishes us as human beings. We talk about where that capability came from and what its role is as artificial intelligence becomes ever more prevalent.

Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/04/15/272-leslie-valiant-on-learning-and-educability-in-computers-and-people/

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Leslie Valiant received his Ph.D. in computer science from Warwick University. He is currently the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics at Harvard University. He has been awarded a Guggenheim Fellowship, the Knuth Prize, and the Turing Award, and he is a member of the National Academy of Sciences as well as a Fellow of the Royal Society and the American Association for the Advancement of Science. He is the pioneer of "Probably Approximately Correct" learning, which he wrote about in a book of the same name.

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