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The Quanta Podcast

The Quanta Podcast

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Exploring the distant universe, the insides of cells, the abstractions of math, the complexity of information itself, and much more, The Quanta Podcast is a tour of the frontier between the known and the unknown. In each episode, Quanta Magazine Editor-in-Chief Samir Patel speaks with the minds behind the award-winning publication to navigate through some of the most important and mind-expanding questions in science and math. Quanta specifically covers fundamental research — driven by curiosity, discovery and the overwhelming desire to know why and how. Join us every Tuesday for a stimulating conversation about the biggest ideas and the tiniest details.

(If you've been a fan of the Quanta Science Podcast, it will continue here. You'll see those episodes marked as audio edition episodes every two weeks.)

Quanta Magazine
Ciencia Ciencias Biológicas Física
Episodios
  • The Shape That Can’t Pass Through Itself
    Jan 13 2026

    Imagine you’re holding two equal-size dice. Is it possible to bore a tunnel through one die that’s big enough for the other to slide through? It is — but what about other shapes? In a paper posted online in August, two researchers describe a shape with 90 vertices and 152 faces that they’ve named the Noperthedron, the first convex polyhedron that definitely cannot pass through itself.

    In this episode, Quanta contributor Erica Klarriech tells host Samir Patel about how the researchers discovered the shape, and how it solves a centuries-old geometric mystery.

    Audio coda courtesy of the Gemsmen Renaissance Consort.

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    27 m
  • Audio Edition: How Much Energy Does It Take To Think?
    Jan 8 2026

    Studies of neural metabolism reveal our brain’s effort to keep us alive and the evolutionary constraints that sculpted our most complex organ.

    The story How Much Energy Does It Take To Think? first appeared on Quanta Magazine.

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    12 m
  • AI Filters Will Always Have Holes
    Jan 6 2026

    Ask ChatGPT how to build a bomb, and it will flatly respond that it “can’t help with that.” But users have long played a cat-and-mouse game to try to trick language models into providing forbidden information. Just as quickly as these “jailbreaks” appear, AI companies patch them by simply filtering out forbidden prompts before they ever reach the model itself.

    Recently, cryptographers have shown how the defensive filters put around powerful language models can be subverted by well-studied cryptographic tools. In fact, they’ve shown how the very nature of this two-tier system — a filter that protects a powerful language model inside it — creates gaps in the defenses that can always be exploited. In this episode, Quanta executive editor Michael Moyer tells Samir Patel about the findings and implications of this new work.

    Audio coda courtesy of Banana Breakdown.

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    26 m
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Satisfying curiosity that I didn’t even know I had with this podcast. Subjects and topics I had never imagined would be so engaging but here I am. Obsessed.

Absolutely Fascinating

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