[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
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.
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1980年代中，Maggie姐还是铜锣湾第一夜总会一名普通的带位员。香港经济起飞时，每晚夜总会里的VIP房总是爆满，迟来的客人只能坐在最不受欢迎的大厅里。Maggie姐靠着伶牙俐齿，把客人安排得很是妥帖。不到一年时间，经理找到她，问她愿不愿意当妈咪。