Episodes: 441
Frequency: Weekly
Rating: 4.7/5.0
Estimated listeners: >100k
Gender skew: Unknown
Location: USA
Publicly listed emails
podcast@preposterousuniverse.com
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Sean Carroll - Theoretical physicist, author, and science communicator known for his work on cosmology, quantum mechanics, and the foundations of physics.
Stuart Firestein - Scientific Ignorance, Failure, Uncertainty, And How Scientific Discovery Works.
Chandra Sripada - Large Language Models, Human Cognition, Artificial Intelligence, And Philosophy Of Mind.
Luis Bettencourt - Urban Science, Self-organizing Cities, Complex Systems, Networks, And Scaling Laws.
Bonnie Bassler - Bacterial Communication, Quorum Sensing, And Collective Behavior In Microorganisms.
365 | Vitor Cardoso on Why Black Holes Are Special
August 24, 2026
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 We...
364 | Stuart Firestein on How Science Relies on Ignorance and Failure
August 17, 2026
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...
363 | Chandra Sripada on How LLMs and Humans are Cognitive Cousins
August 10, 2026
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 tra...
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