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.
В Финляндии предупредили об опасном шаге ЕС против России09:28
。爱思助手下载最新版本是该领域的重要参考
And we hine seeketh yet, beyen ætsomne, wer and wife, through the darkan streeta thisses grimman stedes. Hwæthere God us yefultumige!
The endowment principal is invested in a low-risk
当然，也有用户帮忙解释，「这不是要取代人类，只是更准确计算自动化成本。」 他也承认 Altman 这样说不好，但是要理性、中立、客观地看待。于是，真的有人认真算起来了，然后悲催的发现，自己一天什么都没做，就消耗了卡路里。