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.
俯身下瞧，正在解冻的泥土有些湿润，颜色深了一层，显出大地有了不易察觉的脉动。树根周边，几针鹅黄的纤弱到让人心疼的草尖，正顶开碎土，探出一点小芽。那嫩黄，是生命最初的颜色，亮亮的、怯怯的，纯粹得不染一丝尘埃。它们被微风一逗，便颤巍巍的，像是要笑，又像是害羞，最后终于奋不顾身地破土上冲。
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