首先社交方面，她交到了很多朋友，每天放学都会说今天跟谁玩了，问她好朋友是谁，能说出很多。跟谁玩什么也都表达的很清楚。而且，还会聊家常了，比如哪个好朋友请假了，去干嘛都会聊。而且也可以跟老师表达自己的需求，比如吃饭不够了会跟老师要，渴了也会跟老师说要喝水等等。
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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