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.
int *bucket = (int*)calloc(max + 1, sizeof(int));
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多年前，我把自己在创作工作中的经验与对产品设计的态度，总结为十条原则（十诫）。我认为它们在今天依然有效：
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所以从入学到期末，每个月班里都会发一张全勤奖状，每次都有她，她每次拿到奖状也非常高兴，这也算是对她坚持上幼儿园的肯定吧。