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Quanta Magazine · Science

The Quanta Podcast

Every Tuesday, editor in chief Samir Patel sits down with writers and editors to discuss our most thought-provoking stories in science and math. Audio editions of Quanta's stories with Susan Valot will appear biweekly on Thursdays.

Episodes

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The Fundamental Tension at the Heart of Math

07 Apr 2026
28m
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Audio Edition: AI Comes Up With Bizarre Physics Experiments. But They Work.

02 Apr 2026
14m
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Artificial intelligence is being used to design novel physics experiments and analyze complex data, sometimes outperforming human capabilities. AI designed an improved interferometer for gravitational wave detection, potentially increasing sensitivity by 10-15%. Physicists are also using AI to identify symmetries in da...

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Why Do Humanoid Robots Still Struggle With the Small Stuff?

31 Mar 2026
30m
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Uniting a Century of Digital and Analog Astronomy

24 Mar 2026
25m
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Audio Edition: Researchers Uncover Hidden Ingredients Behind AI Creativity

19 Mar 2026
11m
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Astrocytes Might Be in Charge of the Brain

18 Mar 2026
26m
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Audio Edition: The Ecosystem Dynamics That Can Make or Break an Invasion

05 Mar 2026
15m
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The Infinite Heist - Part 1

03 Mar 2026
31m
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Decoding the Mysteries of Quantum Mechanics

24 Feb 2026
30m
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Audio Edition: Epic Effort to Ground Physics in Math Opens Up the Secrets of Time

19 Feb 2026
17m
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How Animals Build a Sense of Direction

17 Feb 2026
23m
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Mathematicians Want To Make Fluid Equations Glitch Out

10 Feb 2026
24m
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Audio Edition: Matter vs. Force: Why There Are Exactly Two Types of Particles

05 Feb 2026
8m
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Fundamental physics divides all elementary particles into two distinct kingdoms: bosons and fermions. Bosons, such as photons and gluons, act as collective force carriers that can occupy the same space simultaneously, a property that enables phenomena like laser beams and the fundamental forces of nature. In contrast, ...

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Do AI Models Agree On How They Encode Reality?

03 Feb 2026
28m
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Is Particle Physics Dead, Dying, or Just Hard?

27 Jan 2026
26m
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Audio Edition: How Can AI Researchers Save Energy? By Going Backward.

22 Jan 2026
10m
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Reversible computing offers a potential solution to the mounting energy demands of artificial intelligence by running programs backward as easily as forward. Traditional computing faces physical limitations because deleting data inevitably generates heat—a principle proven by physicist Rolf Landauer in 1961. By utilizi...

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Does Dad's Fitness Make Its Way Into Sperm?

20 Jan 2026
32m
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The Shape That Can't Pass Through Itself

13 Jan 2026
26m
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Audio Edition: How Much Energy Does It Take To Think?

08 Jan 2026
12m
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AI Filters Will Always Have Holes

06 Jan 2026
25m
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