Returning back to the Anthropic compiler attempt: one of the steps that the agent failed was the one that was more strongly related to the idea of memorization of what is in the pretraining set: the assembler. With extensive documentation, I can’t see any way Claude Code (and, even more, GPT5.3-codex, which is in my experience, for complex stuff, more capable) could fail at producing a working assembler, since it is quite a mechanical process. This is, I think, in contradiction with the idea that LLMs are memorizing the whole training set and uncompress what they have seen. LLMs can memorize certain over-represented documents and code, but while they can extract such verbatim parts of the code if prompted to do so, they don’t have a copy of everything they saw during the training set, nor they spontaneously emit copies of already seen code, in their normal operation. We mostly ask LLMs to create work that requires assembling different knowledge they possess, and the result is normally something that uses known techniques and patterns, but that is new code, not constituting a copy of some pre-existing code.
生活了一年半之後，他從洛杉磯搬到舊金山，亦因此需要轉為到舊金山的移民居局辦公室報到，劉亮稱，第一次去辦手續及報到的時候，沒有被告知不能離開灣區75英里的範圍外，「舊金山比洛杉磯嚴格。」
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* 时间复杂度: O(n+k) k=max-min+1 空间复杂度: O(k) 稳定: ✓
数据来源：深圳方方乐趣中英文学校