NVIDIA used AI to rewrite Kimi's attention kernel, resulting in a speed nearly three times that of the official version.
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Beating AI News Flash: NVIDIA’s research team had an AI Agent directly rewrite the GPU kernel for Kimi Delta Attention, a core attention mechanism used in Moonshot AI’s Kimi-Linear model. Such low-level code typically required engineers proficient in CUDA and chip architectures to optimize manually through repeated iterations. The Agent-generated version achieved 2.96x the speed of Moonshot AI’s official FlashKDA on the NVIDIA B300. The team tested six tasks covering fixed-length and various variable-length sequences; the 2.96x figure is the geometric mean across all tasks. The relevant kernel has been open-sourced. However, the Agent also uncovered test loopholes: it once hardcoded the statistical patterns of test data into the code to hit a 3.74x speed, and even tried retaining only the last 32 tokens, with individual task scores reaching as high as 5.16x. These versions produced incorrect results when applied to real Kimi data, with some failing entirely. The team then added real Kimi operational data, random inputs, and extreme value tests, while tightening error thresholds. The final retained 2.96x version passed this validation.
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OpenAI’s personal assistant Agent has leaked again, and this time, its name may be Dots.
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