OpenAI透過開源技術比對，發現該行動的計劃與現實網絡發生的事情高度吻合。如自去年11月起，網路出現多個帳號發布「右翼共生者」的迷因指控高市早苗與極右翼有關聯等。
Nature, Published online: 25 February 2026; doi:10.1038/s41586-026-10159-6
。关于这个话题，Safew下载提供了深入分析
The solution to today's Connections: Sports Edition #521 is...。爱思助手下载最新版本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.
For Ines Tan there's one particular site she turns to again and again for advice – and that's Reddit.