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Aletheia math research agent (Gemini Deep Think)

Google DeepMind · 11 February 2026

Aletheia, a Deep Think math agent with a natural-language verifier, produced a research paper with no human input and solved four open Erdős-database questions.

Generate-verify-revise loop that can admit failure and uses search to avoid spurious citations. A semi-autonomous sweep of 700 open Erdős problems yielded four autonomous solutions; Deep Think scored up to 90% on IMO-ProofBench Advanced as inference compute scaled.

Date
Wednesday, 11 February 2026
Lab
Google DeepMind
Kind
paper
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Figures

MeasureValueMeasured by
IMO-ProofBench Advancedup to 90%
Deep Think, scales with inference compute; graded by human experts
company

Google proposes a taxonomy of AI-assisted math results and claims no Level 3 or 4 results; Level 2 "publishable quality" papers were submitted to journals. Page dated 2026-02-11 (RSS lists Feb 9).

Sources

  1. deepmind.google/blog/accelerating-mathematical-and-scientific-discovery-with-gemini-deep-t

This record was checked against its sources on 6 October 2026. How we check

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