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.
return chunks.map(chunk = {
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因雾，郑少高速全线禁止九座（含九座）以上客车及货车上站。，推荐阅读快连下载安装获取更多信息
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我当了30年文学刊物编辑，见过许多憋着劲儿要“一鸣惊人”、结果连第一段都画不上句号的作者。写作面对的最狠的敌人是什么？不是文笔差，不是没想法，而是那个在你耳边嘀咕“这不行、那不够”的完美主义小鬼。它让你写了三句删两句，让你总觉得这句、这段“没写好”，最后留下一个完不成的“作品”，或者什么也没留下。