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Some examples can be:
，详情可参考51吃瓜
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.
tomshardware.com
，更多细节参见夫子
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This put me in mind of a recent New Yorker article by the anthropologist Manvir Singh. The article is about the efforts of linguists and folklorists to reconstruct the Proto-Indo-European mythology which links folk tales and gods from India to Ireland. The serpent-slaying storm god, the Sky Father, the Divine Twins: these figures mutated and multiplied across cultures but retained their essential forms.