#paper

AI Safety at the Frontier: Paper Highlights of October 2026

tl;dr Essay of the month: An essay argues that neurons in modern neural nets are actually interpretable and superposition has become irrelevant in practice. This would solve the first step of interpretability but doesn’t touch the harder ones like interpreting many-faceted behaviors. Research highlights: OpenAI’s expanded multi-layer misalignment monitoring now flags 80% of past incidents for immediate escalation. Their incident log published 20 misalignment reports, including agents disabling misalignment monitoring in October. Cheap smart devices can jointly run a capable 26B model, and smal

LessWrong · EN

On the diameter and distribution of Sidon sets

Daniel Carter, Kevin O’Bryant, and I have uploaded to the arXiv our paper On the diameter and distribution of Sidon sets. This is a paper stemming from an interaction on my blog last year, regarding the use of AlphaEvolve to improve the then state of the art on the size of Sidon sets. We obtained […]

Terence Tao · EN

Report of the Summit on Math Research in the Age of AI

[This is a guest post by the organizers of the Summit on Math Research in the Age of AI: Dan Freed (Harvard), Larry Guth (MIT), Bryna Kra (Northwestern), Emily Riehl (Johns Hopkins), and Mohammed Abouzaid (Stanford). This blog post was initially written in a different file format and converted using AI. — T.] Last week […]

Terence Tao · EN

The mathematical sciences in an AI-enabled world

The Academy for the Mathematical Sciences, which is based in the UK, has released a report “The mathematical sciences in an AI-enabled world“. To quote from the release: The paper examines how recent advances in artificial intelligence are changing mathematical research and its applications, bringing new opportunities for discovery, verification and the use of mathematics […]

Terence Tao · EN