AI is far from reaching its theoretical capability: actual coverage remains a fraction of what's feasible
She added: "Even for a working family that is doing okay, to neuter, chip and vaccinate a cat you're looking at over £200. That's not something to be taken lightly."
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中国によるChatGPTを使った高市早苗首相への信用失墜攻撃を拒否したとOpenAIが公表
Lazy DFAs (2010) are a clever optimization to mitigate the O(2^m) blowup of DFA construction, by only constructing the states that you actually visit. lazy DFAs reduce the theoretical automata construction time to either O(2^m) or O(n), whichever is lower. you could argue that it’s theoretically no longer linear time, since you could have a regex that creates a new state for every character in the input, but in practice you will keep revisiting the same states. for all intents and purposes it behaves more like O(n) with some initial wind-up time. the main downside of lazy DFAs is that they are more complex to implement, and you have to ship a compiler as part of your regex algorithm. i want to highlight Rust regex and RE2 as excellent implementations of this approach, which you can also see in the benchmarks.
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