唐朝诗人是诗歌“立法者”。他们走出梁、陈宫体诗的余荫，建立起五言、七言、古体、近体以及新乐府诗的美学规则，从语言的莽莽苍苍处起步，重铸诗歌的筋骨与灵魂。最终，他们心灵的焦灼似乎被这一美学方案治愈了。
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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.
Nuclear power stations get hot. That is the plan. Pressurised steam drives turbines to generate electricity. To cool that steam and return it to the boilers, vast amounts of seawater are needed.