Illustration beyond Proof
Kate Stange and Edmund Harriss (guest post on Terence Tao's blog)Blog
Why it matters
Guest post in Tao’s AI-and-mathematics series: mathematical illustration as one of the human activities ‘beyond proof-writing’, with the GPT-6 Astra Chair44 monotile as an example of a machine proof that a human made digestible through a diagram.
Summary
Posted 11 October 2026 on Tao’s blog. Tao’s note: “This is a guest post by Kate Stange and Edmund Harriss. This blog post was initially written in a different file format and converted using AI.” The authors report on a January 2026 workshop at the Institut Henri Poincaré on what it would mean “for an illustration to be rigorous” and present their article ‘Mathematical Illustration: Proof, Intuition and AI’ (arXiv 2610.02655), which they say is “now accepted in the Notices”. They place it next to earlier pieces by Bryna Kra, De Toffoli and Duede, Matilde Marcolli and Grant Sanderson. On LLMs: their code generation makes illustration more accessible, but “by vibecoding, we are now two steps from knowledge”. On “digestion” of machine proofs they cite Chair44: prompted by Ioannis Tsiokos, GPT-6 Astra found the first three-dimensional aperiodic monotile (61-page paper, arXiv 2609.19214), and Chaim Goodman-Strauss distilled the argument into eight pages (arXiv 2609.24779) built around a diagram. They propose calling an illustration’s “affordances” the properties that a proof certifies as accurate, and borrow the art-school “crit” as a way to assess illustrations. They ask for support for existing work (Illustrating Mathematics, Geometry Labs United, the philosophy of mathematical practice). The page had 6 comments when read on 2026-10-13.
Archived text
- “Yet by vibecoding, we are now two steps from knowledge: even the creation algorithm itself may not be understood.”
- “These pictures show mathematics that has not been explored, rather than explaining what is already known.”
- “We might choose a stronger definition of affordances: the properties of the illustration that a proof certifies as accurate.”
- “Being a mathematician is as much about being an excited audience for the work of others as it is about presenting or creating our own research.”
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Terence Tao, Professor of mathematics, UCLA