Deepmind’s AlphaGeometry solves complex math and is a “crucial step” toward AGI


Google Deepmind introduces AlphaGeometry, a new AI system that nearly matches the ability of the world’s best students to solve geometry problems. It also demonstrates the potential of synthetically generated AI training data.

According to a study published Wednesday in Nature, Google Deepmind’s AlphaGeometry correctly answered 25 out of 30 questions in the International Mathematical Olympiad (IMO) for high school students.

By comparison, the previous top model solved ten of these geometry problems, while the human gold medalist solved an average of 25.9 problems.

Image: Deepmind

This performance is very close to the gold medal standard of human participants and, according to Deepmind, underlines the growing competence of AI in the field of mathematics.



The reasoning and learning challenges of complex mathematics make it an important test on the road to Artificial General Intelligence (AGI) that is equal to or superior to humans.

Deepmind researcher Quoc V Le, who is involved in the project, tells the Financial Times that the new system is a “crucial step towards building an AGI”.

“This is another example that reinforces how AI can help us advance science — and better understand the underlying processes that determine how the world works.”

How does AlphaGeometry work?

AlphaGeometry is a neuro-symbolic system that combines language learning and deductive reasoning. The system combines the predictive power of a neural language model with a rule-based deduction engine that works together to find solutions.

The language model acts as a kind of solution assistant, suggesting new approaches to the symbolic engine when it is unable to find a solution on its own.


code and model available as open source on Github.

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