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채굴업체들이 AI 데이터센터로 전환하려는 또 다른 이유는 수익 구조의 차이다. 비트코인 채굴은 토큰 가격과 네트워크 난이도, 반감기 등 여러 변수에 따라 수익이 크게 변동한다. 반면 AI 연산 서비스는 클라우드 기업과 장기 계약을 기반으로 안정적인 매출을 확보할 수 있어 수익 예측 가능성이 높다.
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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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