Anthropic is loudly complaining about other companies using Claude to train their models, which seems a touch rich

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tee() splits a stream into two branches. It seems straightforward, but the implementation requires buffering: if one branch is read faster than the other, the data must be held somewhere until the slower branch catches up.

story, but one that I haven't been particularly inclined to cover due to the

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append uses a small, stack-allocated backing store as the first