Google DeepMind's Aletheia Autonomously Solves 6 Research-Level Math Problems

Beyond Math Competitions

Google DeepMind's Aletheia AI agent is demonstrating the ability to tackle genuine open problems in mathematics research — not just competition problems. A Reddit post in r/singularity (score: 291) highlighting this achievement sparked significant discussion about whether AI is approaching genuine mathematical research capability.

Key Achievements

FirstProof Challenge: Aletheia autonomously solved 6 out of 10 open research-level math problems according to majority expert assessment

Bloom's Erdős Conjectures: In a semi-autonomous evaluation of 700 open problems, Aletheia solved 4 open questions

Autonomous research paper: Generated a fully AI-authored paper calculating eigenweight structure constants in arithmetic geometry

How Aletheia Works

Aletheia is built on Gemini Deep Think and uses a three-part agentic harness: a Generator that proposes candidate solutions, a Verifier that checks for flaws, and a Reviser that corrects errors. This architecture improves with more inference-time compute — Gemini Deep Think now scores up to 90% on IMO-ProofBench Advanced, up from IMO Gold-medal level in July 2025.

Mathematical Community Recognition

Fields Medalist Terence Tao and other leading mathematicians have recognized the significance of these results, describing Aletheia as a 'valuable research collaborator.' While Aletheia still struggles with many problems, the successes represent a qualitative leap in AI-assisted research.