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仅发布三天，Kimi K2.5模型便在海外知名编程工具Kilo Code，全球最大的众包AI设计平台Design Arena等多个平台拿到了调用量全球第一的成绩。
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陈润庭的父亲从这条线索出发，辗转找到了杜耀豪外祖父所属的村庄，并在那里找到了保存完好的族谱。“把杜耀豪一世祖到十八世祖，整个序列都给他查了出来。”陈润庭回忆。
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.