756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds — with @JonKrohnLearns

FunSearch Algorithm

DeepMind's FunSearch algorithm represents a significant leap in AI's ability to solve complex mathematical problems. Jon Krohn explains that AlphaGeometry, a hybrid system combining neural language models and symbolic deduction engines, excels in geometry by mimicking human fast and slow thinking processes 1. This innovative approach allowed AlphaGeometry to solve 25 out of 30 Olympiad-level problems, showcasing proficiency akin to top mathematical minds.

This hybrid system, blending fast and slow thinking approaches together like in our own minds, has proven to be highly effective for geometry.

--- Jon Krohn

The system's ability to generate human-readable proofs marks a critical step towards making AI solutions more accessible and understandable 1.

   

Open-Source Strategy

DeepMind's decision to open-source the code for AlphaGeometry and FunSearch is a strategic move to foster collaborative AI research. Jon Krohn highlights that this transparency is possible due to fewer ethical concerns compared to natural language models 1. By making these advanced algorithms accessible, DeepMind aims to push the boundaries of AI research and application across various scientific fields.

You'll be delighted to know that DeepMind has fully open sourced the code for both alpha geometry and fun search.

--- Jon Krohn

This open-source strategy not only accelerates innovation but also democratizes AI, allowing a broader range of researchers to contribute to and benefit from these advancements 1.