The Edge of Mathematics

Terence Tao – Kepler, Newton, and the true nature of mathematical discovery

“And what those stories teach us about how AI will revolutionize math”

AI That Evolves in the Wild | Edge.org

I’m interested not in domesticated AI—the stuff that people are trying to sell. I'm interested in wild AI—AI that evolves in the wild. I’m a naturalist, so that’s the interesting thing to me. Thirty-four years ago there was a meeting just like this in which Stanislaw Ulam said to everybody in the room—they’re all mathematicians—"What makes you so sure that mathematical logic corresponds to the way we think?" It’s a higher-level symptom. It’s not how the brain works. All those guys knew fully well that the brain was not fundamentally logical.

Terence Tao: AI companies are harming mathematics | New Scientist

AI firms are making new mathematical discoveries at a rapid pace, but not sticking around to help unpick the new proofs. That is not the way to advance our understanding, says mathematician Terence Tao

Mathematical Beauty, Truth and Proof in the Age of AI | Quanta Magazine

Mathematicians have started to prepare for a profound shift in what it means to do mathematics.

Is AI the End of Math As We Know It? | Quanta Magazine

Mathematicians are facing the sudden shift with grief, anger, and a desperate search for fresh ideas: “If we don’t adapt, there’s just no more math in 50 years.”

The AI Revolution in Math Has Arrived | Quanta Magazine

AI is being used to prove new results at a rapid pace. Mathematicians think this is just the beginning.

Terence Tao: AI companies are harming mathematics | New Scientist

archived 9 Sep 2026 16:47:49 UTC

In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch

Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.

The Myth of the Instant Cake Mix

How to think about creative tooling in the new world of generative AI

Mathematicians are grappling with the possibility that AI might eclipse them

I talked to 20 mathematicians about rapid AI progress in their field.

Daron Acemoglu on Twitter / X

I recommend Columbia mathematician Michael Harris’s wide-ranging, informative and thought-provoking essay in Boston Review on AI and mathematics:https://t.co/txwAd8ri4xHarris rightly worries about the possible negative effects of AI-generated proofs and mathematics on…— Daron Acemoglu (@DAcemogluMIT) June 16, 2026

What it Means to Be a Mathematician When AI Does the Math

Researchers debate motivation, purpose, and the field’s future

Library: Faculty Guide to Generative AI: Welcome

Library: Faculty Guide to Generative AI: Welcome

The fall of the theorem economy

How AI could destroy mathematics and barely touch it

The fall of the theorem economy

How AI could destroy mathematics and barely touch it