Google DeepMind's AlphaEvolve, an LLM-driven program-evolution system running on Gemini models, found a faster method for multiplying 4x4 complex matrices, breaking a record that had stood since 1969. The approach has an LLM write a program, score it, and iteratively improve it, and the article notes similar open-source efforts are emerging. The result matters because it shows latent-agent swarms can produce new mathematical discoveries and optimization gains.
Last year Google DeepMind's AlphaEvolve found a faster way to multiply 4x4 complex matrices, beating a record that had stood since 1969. The idea is to let an LLM write a program, score it, and iteratively improve it. So it's called " evolve ". But AlphaEvolve runs on Gemini models. Similar open-sou
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