Nature, Published online: 27 February 2026; doi:10.1038/d41586-026-00674-x
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.
例如，医药制造业在2024年面临融资困境、药品集采等多重压力，叠加研发管线同质化等问题，从过去的粗放式发展转向集约化调整；再如交通运输、仓储和邮政业，正在经历智慧化转型，快递物流龙头的研发投入出现分化现象。。搜狗输入法下载对此有专业解读
FT Edit: Access on iOS and web
。关于这个话题，im钱包官方下载提供了深入分析
Integrates with all other HubSpot content tools to help you create a well-rounded content strategy，推荐阅读Line官方版本下载获取更多信息
而这种“消失”并非偶然，而是一场持续数年的缓慢退潮。