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.
I really wish I didn't have to do the heartbeat dance. That would be a nice
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Дан прогноз по ключевой ставке в России14:48
但OpenClaw打破了这一旧观念。它证明，只要产品足够好、足够有用，绝大多数用户是愿意让渡一部分所谓的“安全感”，使用新技术、提升工作效率。
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