奥特曼怼AI耗电:人类想变聪明还得吃 20 年饭,网友:你再说一遍?

· · 来源:plus资讯

2月13日,北京人民大会堂。作为获得2025年度中国政府友谊奖的外国专家代表,德国海瑞恩集团董事长尤根·海瑞恩受邀出席一场新春座谈会。

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(三)不执行罚款决定与罚款收缴分离制度或者不按规定将罚没的财物上缴国库或者依法处理的;

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.

Bill Clint