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.
When a bounded buffer fills up and a producer wants to write more, there are only a few things you can do:
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这话听起来只是个比喻，但一传开，就被解读成 AI vs 人类的「效能大战」。Altman 到底想表达什么？简单说，他觉得大家批评 AI 时，总拿「训练模型」的总能耗和人类「回答一个问题」的瞬间能耗比，这不公平。，更多细节参见搜狗输入法2026
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