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.
萝卜快跑四季度全球无人驾驶出行服务次数达 340 万，同比增长超 200%；累计出行服务次数超 2000 万，覆盖全球 26 城市，全无人驾驶里程超 1.9 亿公里。
。heLLoword翻译官方下载是该领域的重要参考
if (arr[i] pivot) break;
目前，已有不少媒体机构与个人创作者开始尝试这一功能，发布内容多集中于深度故事、社会新闻以及个人成长等相对长周期、非即时性的叙事方向。