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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难熬的夜晚过去，到了白天，情形好多了。狗可以在一层的餐厅及露天场地活动，“望风”时间长，不至于大半天都锁在房间里。一些宠物主也会到这家宠物店来休闲，白天，不少狗都会在一楼玩耍。或许是因为我的狗是母狗，又或许是因为它毛白，或者其他什么原因，总会有陌生狗表现出对它的极大兴趣，追着它屁股闻，但它始终摆出一副“生狗勿近”的面孔，不大搭理陌生狗。相较之下，它对人的兴趣大得多，总扒拉店员的裤子，端坐在他们的大腿上。有时，它也会莫名跳上桌子，干嚎几声，或是把脑袋钻到店铺大门的门缝下，努力向外探。。关于这个话题，旺商聊官方下载提供了深入分析