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DeepMind’s AlphaGeometry solves 25 of 30 olympiad geometry problems

See how this story connects

Source: Google DeepMindAlso reported by Nature (paper)

Google DeepMind published AlphaGeometry in Nature on 17 January 2024. The system, which pairs a language model with a symbolic deduction engine and was trained on 100 million synthetic examples, solved 25 of 30 past olympiad geometry problems within time limits, against 25.9 for an average human gold medallist and 10 for the previous best method. DeepMind released the code and model.

Why it matters

Researchers got open code for an olympiad-level geometry prover trained without human proofs, and DeepMind built AlphaGeometry 2 from it for the July 2024 International Mathematical Olympiad.

When
17 Jan 2024
ID
WTA-N-2024-0019
Who
Google DeepMind

Summary by wheresthe.ai, from Google DeepMind and the reporting credited above. Checked against the source on 9 Oct 2026.

Read the original at Google DeepMind

Source copy: download the page as saved on 18 Oct 2026 (PDF). Also held by the Internet Archive.

Next stop on this Storyline: Led toDeepMind’s AlphaProof and AlphaGeometry 2 reach IMO silver-medal standard

Cite this story

WTA-N-2024-0019: “DeepMind’s AlphaGeometry solves 25 of 30 olympiad geometry problems.” wheresthe.ai, 17 Jan 2024. https://wheresthe.ai/d/deepmind-alphageometry-2024-01/ (source: Google DeepMind).

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