This file also included the rules that the agent needed to follow, like:
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这个 App 的来头不小，它的核心理念源自 computational photography（计算摄影）的大神 Marc Levoy。不同于原生相机的「暴力锐化」，Project Indigo 追求的是一种如油画般自然的细腻度。。业内人士推荐必应排名_Bing SEO_先做后付作为进阶阅读
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There were no infections, spinal fluid leaks or abnormal tissue growth or tumors formed at the repair site.，详情可参考im钱包官方下载
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.