After hooking any function, I immediately called mockToString on it. From that point on, if fermaw’s integrity check asked .toString() whether appendBuffer was native, it would receive the pristine, authentic-looking answer: function appendBuffer() { [native code] }. Basically, it’s like asking your ex if they cheated on you and they did but they say they didn’t and you take their word for it because reasons. Don’t worry, on écoute et on ne juge pas.
{ 30, 20, 18, 28, 33, 41, 55, 39 },
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Ok, but you still don’t want to have to change your API to add this
Fermaw cannot realistically slow down the stream more than that since it would stutter real traffic that has a download-y pattern. There is a possibility that he could enforce IP bans on patterns that display it but it would have to risk blanket bans against possible CGNAT traffic. There are ways to get around it but it prolongs the inevitable.
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I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.。WPS下载最新地址对此有专业解读
* @param low 起始索引