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.
自青少年時期便喜愛男男愛情作品的安娜（Anna）認為，《烈愛對決》與亞洲的男性浪漫故事有明顯的共通之處。
。关于这个话题，heLLoword翻译官方下载提供了深入分析
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We started self-hosting about a year ago. We’ve got Proxmox Virtual Environment set up on our home server with containers for a Turnkey Linux File Server, a Turnkey Linux Media Server running Jellyfin, photo management using Immich, a Syncthing server, and home automations using Home Assistant. I’m considering hosting my own instance of Bitwarden for password management and my own Matrix bridge for chat. The list is endless. This is a blessing and a curse.