Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas

Black holes, as Stephen Hawking discovered, do grow old: they emit radiation, lose mass, and eventually evaporate away. But our fascination with black holes never grows old. This is especially true today, as we are seeing a flood of new data and intriguing theoretical ideas, which both tests the limits of Einstein's general relativity and teach us new things about the astrophysical universe. At the Center of Gravity at the University of Copenhagen, they are currently celebrating Black Hole Week, which provides an excellent opportunity to talk with Center director Vitor Cardoso about what we've been learning about these singular cosmic objects.
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Blog post with transcript: https://preposterousuniverse.com/podcast/2026/08/24/365-vitor-cardoso-on-why-black-holes-are-special/






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Vitor Cardoso received his Ph.D. in physics from the Instituto Superior Técnico in Portugal. He is currently a Villum Investigator and Director of the Center of Gravity at the Niels Bohr Institute in Copenhagen, and a Distinguished Professor at Técnico.
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University of Copenhagen web page
Simons Collaboration page
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One of the paradoxes of science is that it seeks objectively true understanding of the world, but its methodology is driven by ignorance, failure, and uncertainty. Some phenomena we understand pretty well, but interesting research happens at the boundary of what we do and don't know. And there is no foolproof algorithm for moving in the right direction; we need to make conjectures and test them against the world. Biologist Stuart Firestein has been advocating for a better public understanding of the true methods of science, most recently in his new book It Could Be Otherwise: Science In the Age of Uncertainty.
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Blog post with transcript: https://preposterousuniverse.com/podcast/2026/08/17/364-stuart-firestein-on-how-science-relies-on-ignorance-and-failure/






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Stuart Firestein received his Ph.D. in neurobiology from the University of California, Berkeley. He is currently Professor of Neuroscience at in the Department of Biological Sciences at Columbia University, and Fractal Faculty at the Santa Fe Institute. He is a fellow of the American Association for the Advancement of Science, the Sloan Foundation, and the Guggenheim Foundation. His research studies cellular mechanisms of signal transduction and olfaction. His previous books include Ignorance: How It Drives Science and Failure: Why Science Is So Successful.
Columbia web page
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Amazon author page
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Large Language Models display an uncanny ability to construct human-sounding speech, and can synthesize concepts in novel ways. Is this because they are truly thinking like human beings in some way, or have they found a way to be human-like without reproducing the internal mechanisms of human thought? Chandra Sripada argues that LLM cognition is more human-like than we suppose, and offers evidence from the ways that cognitive scientists study actual humans.





 




Blog post with transcript: https://preposterousuniverse.com/podcast/2026/08/10/363-chandra-sripada-on-how-llms-and-humans-are-cognitive-cousins/
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Chandra Sripada received an M.D. from the University of Texas and a Ph.D. in philosophy from Rutgers University. He is currently a professor of philosophy and psychiatry at the University of Michigan, where he holds the Theophile Raphael Research Professorship and directs the Weinberg Institute for Cognitive Science. He writes Cognition, Decoded, a Substack newsletter about AI, cognitive science, and philosophy.
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Welcome to the August 2026 Ask Me Anything episode of Mindscape! These monthly excursions are funded by Patreon supporters (who are also the ones asking the questions). We take questions asked by Patreons, whittle them down to a more manageable number -- based primarily on whether I have anything interesting to say about them, not whether the questions themselves are good -- and sometimes group them together if they are about a similar topic. Enjoy!





Blog post with questions and full transcript: https://preposterousuniverse.com/podcast/2026/08/03/ama-august-2026/







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People who live in large cities produce more patents per person than those who live in small towns. They also walk faster down the street, and use less infrastructure per person. Indeed, the relationships between these quantities and city population obey power laws with apparently universal exponents, reminiscent of scaling laws is biological organisms? Luis Bettencourt argues that they can be explained in similar ways, using ideas from complex systems and network theory.
Blog post with transcript: https://preposterousuniverse.com/podcast/2026/07/27/362-luis-bettencourt-on-the-universal-properties-of-self-organizing-cities/
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Luis Bettencourt received a Ph.D. in theoretical physics from Imperial College London. He is currently the Lorna Puttkammer Straus Professor Department of Ecology and Evolution & Data Sciences Institute, as well as Associate Faculty and Special Friend in the Department of Sociology, at the University of Chicago. He is the author of Introduction to Urban Science: Evidence and Theory of Cities as Complex Systems.
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