* @param arr 待排序数组
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。safew官方版本下载是该领域的重要参考
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.
2026-02-28 00:00:00:03014271610http://paper.people.com.cn/rmrb/pc/content/202602/28/content_30142716.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/28/content_30142716.html11921 彭清华会见老挝和平与团结委员会考察团
坚持党的领导，坚持以人民为中心的发展思想，坚持发挥我国社会主义制度能够集中力量办大事的政治优势，坚持精准扶贫方略，坚持调动广大贫困群众积极性、主动性、创造性，坚持弘扬和衷共济、团结互助美德，坚持求真务实、较真碰硬。