Publication date: 28 February 2026
会谈前，李强在人民大会堂北大厅为默茨举行欢迎仪式。
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Maggie姐在舞池边忙着打点生意，那身玫红色西装使她看起来像一尾在深海游动的鱼。即使做到公关经理，她仍然要面对激烈的市场竞争——左边穿西装、戴眼镜的长脸男人是爸爸生，懂日语，专门接待日本客人；右边穿西装、留马尾辫的男人手下都是“老虎”；那个画浓眼线、一副烟嗓的妈妈生来自四川，现已投靠Maggie姐手下。随便一分，这个并不大的蛋糕也至少被分成了好几块。
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.