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  1. Sequel to "The kernel that wasn't there".

  2. Or: what 7% taught me before I wrote a single kernel.

  3. Making Dr GRPO go brrr

    I wrote a fused decode-attention kernel for an RL training loop, got it 2.2× faster than the SDPA path it replaces at the microbenchmark level, dropped it into HuggingFace's generate, and watched the decode step get nearly 3× slower.

  4. After writing Flash Attention 1 in plain CUDA, I wanted to take the next step and port Flash Attention 2 to CuteDSL, the Python front-end NVIDIA ships with CUTLASS 4.