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.
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习近平指出，中国和德国分别是世界第二、第三大经济体，中德关系不仅关乎两国利益，也对欧洲和世界有重要辐射效应。当前国际形势正在经历第二次世界大战结束以来最深刻演变。世界越是变乱交织，中德两国越要加强战略沟通、增进战略互信，推动中德全方位战略伙伴关系不断得到新发展。，更多细节参见WPS下载最新地址
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