AlphaEvolve searches for better algorithms with executable feedback
Google DeepMind introduced AlphaEvolve, a Gemini-powered coding agent that evolves candidate programs and scores them with automated evaluators. Google reported production improvements in data-center scheduling, chip design and AI training, plus new solutions to mathematical optimization problems.
Why it matters: Executable evaluators can turn language-model generation into a measurable search process for algorithms, configurations and systems code.