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The biggest lesson: the same optimization has completely different value on different hardware. I spent Parts 3-4 building up flash attention as this essential technique — and it is, on GPU. On TPU — at least for this single-head, d=64 setup on a Colab v5e — the hardware architecture makes it unnecessary for typical sequence lengths, and the compiler handles it when it does become necessary. Understanding why I lost taught me more about both architectures than winning on GPU did.

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This week, Anthropic softened its safety policy — often viewed as one of the strongest in Silicon Valley — citing competitors' reluctance to do the same and the federal government’s disinterest in prioritizing security.

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