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.
Only 4% primary, but 31 alt picks. Known but not chosen
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圖像加註文字，圖為2023年二二八76週年的紀念儀式上，有年輕人高喊口號，要求台北市長蔣萬安下跪道歉。事實上，對許多年輕人而言，觸發他們關心歷史的並非傳統教育，而是現實社會的經驗，包括展覽、電影電玩，以及當下的國際局勢。
Nature, Published online: 25 February 2026; doi:10.1038/s41586-026-10127-0。关于这个话题，爱思助手下载最新版本提供了深入分析
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