Ted Kaczynski's 1999–2000 correspondence warning that careers in symbol manipulation, including mathematics, would become obsolete as AI improves has proven prescient, according to a recent analysis. …
A mathematician argues that AI-assisted verification could lower the rigor required in math papers, shifting the burden from authors to reviewers. The author notes that full formal verification remain…
The Leiden Declaration on AI and Mathematics proposes a 'mathematical Turing test' where AI systems are evaluated by human mathematicians across three phases—problem formulation, collaborative explora…
A discussion on a mathematics forum asks what prevents mathematics from becoming an exclusively AI-driven practice, citing AI's rapid capability growth, automated proof checking, and efficient informa…
A mathematician on MathOverflow expresses alarm that AI could soon end human mathematical practice, citing AI's ability to solve conjectures and formalize proofs in Lean, and asks why peers are not pa…
Axiom Math has used its AI system AxiomProver to produce a fully machine-checked formalization of the 'BGP246 theorem,' the best-known bound on small gaps between prime numbers, marking the closest ap…
Researchers introduced Pistis, an agentic proof search tool that generates faithful formal Lean proofs, and applied it to Euclid's Elements, producing proofs favored 2.89x by human reviewers and 5.2x …
Researchers at AWS have developed a barrier-free synchronization algorithm for multi-engine AI accelerators such as AWS Trainium, implemented as a compiler backend pass at the AWS Neuron ISA level. On…
Ivan Gavran, a researcher on the Quint specification language, argued in a blog post that AI coding agents have shifted the economics of formal verification, making the 1979 critique by De Millo, Lipt…
A 1979 paper's arguments against formal verification remain relevant but are being challenged by AI-driven coding, according to a 2026 analysis. The original paper claimed program verification would f…
AI systems are now solving geometry problems that previously took humans years, according to a report highlighting the shift from calculation to reasoning. By combining deep learning with formal verif…
A high-school dropout is outperforming PhDs in AI by using formal verification languages like Lean and Isabelle instead of natural language, forcing AI models to produce mathematically verified proofs…
Large language models (LLMs) function as massive pattern libraries for mathematical proofs, excelling on familiar problems but failing on novel twists, according to a technical analysis. The article a…
Tanner Duve, Member of Technical Staff at Logical Intelligence, discusses formal verification, compilers in Lean, and AI-assisted math formalization in the first episode of a new interview series. The…
A paper co-authored by Ilya Sergey, 'Tracking Borrows with Regular Expressions,' was accepted to OOPSLA'26, presenting a new type system for the Move smart contract language that uses regular expressi…
An unreleased Anthropic model autonomously tested 650 candidate approaches and spent 31 million output tokens over 1.5 days to make significant progress on the Riemann hypothesis, a longstanding unsol…
Anthropic announced that an unreleased AI model made significant progress on the Riemann hypothesis, increasing the lower bound of solutions for which the hypothesis holds true. The model tested 650 i…
Claude, an AI model by Anthropic, improved the bound on the Riemann Hypothesis from 41.6% to 67.2% of nontrivial zeros lying on the critical line, building on recent human work by Baluyot, Goldston, S…
On August 1, 2026, OpenAI published a 249-page manuscript detailing how an unreleased internal model, Astra, solved ten open mathematics problems, including one open since 1999, with machine-checkable…
A developer working on the Algebraic Architecture Theory (AAT) research project has introduced a philosophy section into the project's AGENTS.md file, outlining ethical and methodological principles f…