南方周末：冯道在历史学界的评价比较两极，包括桑维翰推动了燕云十六州的割让，这也是他终生的污点，这样的历史人物两面性非常突出，剧作阶段你怎么处理人物真实历史原型的评价问题？
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Emacs and Vim in the Age of AI Posted Mar 9, 2026 By Bozhidar Batsov 16 min read。关于这个话题，搜狗输入法提供了深入分析
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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.，推荐阅读超级权重获取更多信息