Hey ChatGPT, write me a fictional paper: these LLMs are willing to commit academic fraud

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this limitation has a purpose - it allows us to have a more efficient matching algorithm implementation, which i don’t think is immediately obvious and i don’t think even experts in the field fundamentally “get” this. before you “fix” the problem and turn my linear matching algorithm into a quadratic one, make sure you thoroughly understand why we have this limitation. the reason is that we have only one “kind” of match, and marking the end of the position is always correct. with arbitrary lookarounds, instead of marking the match ended here, you would have to mark the match for lookaround #7 ended here, and the match for lookaround #3 ended 5 characters ago, and the match for lookaround #12 ended 100 characters ago. i had a lot of temptation to support arbitrary lookarounds, and it really does seem like an easy fix at first glance, but the complexities arise much later in the match loop, and this is a good example of how some theory just does not hold up when you implement it. as a side note, we can actually loosen this restriction on R3 (above) which is still work in progress, but not R1, because R1 is the one that determines the start position of the match.

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对于绝大多数不懂代码的普通小白来说,这门槛属实是太高了。我只是想把好用的 AI 接入自己的飞书或钉钉,创建一个机器人,但是第一步就困住了。