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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.

The request looks like this:,详情可参考safew官方下载

Ирина Шейк

长期的临床工作,让全国政协委员、苏州大学附属第一医院血液科专家吴德沛对医疗领域的老大难问题感受很深——“很多患者并不是没有药治疗,而是用不起创新药。”,更多细节参见heLLoword翻译官方下载

"People didn't always carry the donor card on them in their pockets and handbags and the nurses and doctors didn't have time to look through. So there was a problem," Cox said.,这一点在safew官方版本下载中也有详细论述

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