KernelSeek beats FlashAttention-3 by asking questions, not adding tools
A tool-rich agent stalled at 0.50x after 133 steps; KernelSeek reached 1.13x, then 1.16x and 1.46x on later kernels.
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A tool-rich agent stalled at 0.50x after 133 steps; KernelSeek reached 1.13x, then 1.16x and 1.46x on later kernels.
Authors say it doubles expert speedup on SWE-fficiency and reports 1.92 times vLLM and 1.38 times SQLite.
MetaKernelBench measures whether GPU kernel skills transfer across CuTe and TIRx on 74 problems.
Approximating softmax in ten frozen LLMs yields a FlashAttention-4 kernel up to 25.8% faster on NVIDIA B200.
Hacker News highlights a Show HN project for an agentic CUDA kernel optimizer.
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