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Comment by jasonjmcghee

> AlphaEvolve achieved up to a 32.5% speedup for the FlashAttention kernel implementation in Transformer-based AI models

> In roughly 75% of cases, it rediscovered state-of-the-art solutions, to the best of our knowledge.

> And in 20% of cases, AlphaEvolve improved the previously best known solutions

These sound like incredible results. I'd be curious what kind of improvements were made / what the improvements were.

Like, was that "up to a 32.5% speedup" on some weird edge case and it was negligible speed up otherwise? Would love to see the benchmarks.

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