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DeepMind's AlphaProof and AlphaGeometry 2 have cracked four out of six problems at this year’s International Mathematical Olympiad, showcasing unprecedented advances in AI's ability to tackle complex mathematical reasoning.
On July 25, 2024, DeepMind announced a significant breakthrough in artificial intelligence (AI) with the development of two models: AlphaProof and AlphaGeometry 2. These systems have achieved a silver medal standard by solving four out of six problems from this year’s International Mathematical Olympiad (IMO). This marks a pivotal moment for AI in advanced mathematical reasoning.
AlphaProof
AlphaGeometry 2
The International Mathematical Olympiad (IMO) is a prestigious competition for pre-college mathematicians, held annually since 1959. Each year, participants tackle six exceptionally difficult problems in algebra, combinatorics, geometry, and number theory. The problems are designed to test not only mathematical knowledge but also creative problem-solving skills.
This year, DeepMind’s combined AI system was applied to the IMO competition problems, provided by the organizers. The solutions were evaluated according to the IMO’s scoring rules by prominent mathematicians, including Prof Sir Timothy Gowers (an IMO gold medalist and Fields Medal winner) and Dr Joseph Myers (a two-time IMO gold medalist and Chair of the IMO).

The success of AlphaProof and AlphaGeometry 2 highlights the potential of AI in advancing mathematical research and education. Here are some key implications:
DeepMind’s achievement is a significant step forward in the development of artificial general intelligence (AGI) with advanced mathematical reasoning. The team plans to continue refining these models and exploring new applications. On November 12, 2025, they published the methodology behind AlphaProof in an article in Nature, providing further insights into their approach.
As AI continues to evolve, we can expect more breakthroughs in solving complex problems across various domains. The success of AlphaProof and AlphaGeometry 2 is a promising sign of what the future holds for AI in mathematics and beyond.
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Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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26 July 2024
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