DeepMind's AlphaEvolve: Evolving AI Algorithms to Solve Math Problems and Improve Chip Design

Google DeepMind's AlphaEvolve system, combining the creativity of a large language model (LLM) with algorithmic filtering, has achieved breakthroughs in mathematics and computer science. It has not only solved open mathematical problems but also been applied to DeepMind's own challenges, such as improving the design of its next-generation AI chips, Tensor Processing Units, and optimizing Google's global computing resource utilization, saving 0.7% of resources. Unlike previous AI systems tailored for specific tasks, AlphaEvolve is a general-purpose system capable of handling larger code and more complex algorithms, even outperforming the previously specialized AlphaTensor system in matrix multiplication calculations.