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.
这位医学先驱或许从未想过，自己的脱发问题，会在数千年后的今天，催生出一个规模千亿的庞大市场。据不完全统计，已有超过3.38亿国人面临脱发困扰，相当于每4个国人中就有1人被脱发问题所困扰，且脱发人群还呈现出持续年轻化的鲜明趋势，越来越多的年轻人加入“防脱大军”。
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