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5、大模型算力消耗显著上涨，但核心重心仍聚焦产品价值，更多细节参见易歪歪官网
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but there’s a problem with the classical formulation. the derivative takes a regex and a character, so to build a state machine you need to compute it for every possible character to get all transitions from a given state. sure, you can compress the number of characters into equivalence classes before, but you still have to compute for each equivalence class - and many of them end up leading to the same state anyway. for example, the regex abc (below) cares about a, b, c, and “everything else”, which brings us down from 65536 to 4 in UTF-16, but for the first node (abc) even b and c behave the same as “everything else”. so what are we computing these for? in other words, there is something left to improve here.，这一点在超级权重中也有详细论述
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