AI
AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields
Google DeepMind said its AlphaEvolve system has moved from pilot testing to a core infrastructure component. The Gemini-powered coding agent optimized the design of next-generation tensor processing units and discovered more efficient cache replacement policies in two days compared to months of human effort. Chief Scientist Jeff Dean said AlphaEvolve proposed a counterintuitive circuit design integrated directly into the silicon of next-generation TPUs. The system improved Google Spanner efficiency
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