Google DeepMind quietly let AlphaEvolve cook inside Google for a year. The receipts just dropped. This isn’t a copilot for autocompleting your for-loops — it’s an evolutionary coding agent that mutates whole codebases, runs them, scores them, and keeps the winners.
What it actually did in 12 months
A 32.5% speedup on the FlashAttention kernel. A 4×4 complex matrix multiplication using only 48 scalar multiplications — the first time anyone has beaten Strassen since 1969. A scheduling heuristic that claws back 0.7% of Google’s worldwide compute every day. An arithmetic circuit baked into a future TPU generation. A 1% cut to Gemini’s training time. A 10× error reduction for molecular simulations on the Willow quantum chip. On 50 open math problems across analysis, geometry, combinatorics, and number theory, it matched state of the art 75% of the time and beat it in 20%.
How to get hands on it
Gemini Flash proposes weird ideas, Gemini Pro reasons hard, an evaluator decides who lives. AlphaEvolve is now in early access on Google Cloud as an API service — bring code plus a measurable score, let it evolve. Anything with an editable file and a number that can go up is fair game.
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