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.
据博主「数码闲聊站」消息，X300 Ultra 将全球首发索尼 2 亿像素 LYT-901 传感器，并配备一颗 2 亿像素潜望式长焦镜头，以及行业领先的超广角镜头。
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Никита Абрамов (Редактор отдела «Россия»)
自19歲離開英格蘭北部家鄉維根（Wigan）後，丹·麥肯齊（Dan McKenzie）曾在世界各地多個遙遠地區工作。