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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第二十五条 一般纳税人取得的固定资产、无形资产或者不动产(以下统称长期资产),既用于一般计税方法计税项目,又用于简易计税方法计税项目、免征增值税项目、不得抵扣非应税交易、集体福利或者个人消费(以下统称五类不允许抵扣项目)的,属于用作混合用途的长期资产,对应的进项税额依照增值税法和下列规定处理:
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Barnett, who originally from Canada but has lived in Guernsey for 20 years, and said: "The brain fog was extreme.