// 核心逻辑：当前时间 上一个车队时间 → 无法合并，是新车队
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.
，详情可参考safew官方下载
不过，在阅读体验之外，一个更基础、却尚未被充分讨论的问题也正在浮现：新闻资讯，是否可以被轻易地抓取、拆解与再分发？当AI开始参与内容甚至新闻内容的生产，它的边界究竟应该停在何处？，详情可参考服务器推荐
But why are so many fish at risk? How will this system protect them? And why did farmers more than 70 miles (112.6km) from the power plant face losing their land?，这一点在safew官方版本下载中也有详细论述