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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.
13:09, 27 февраля 2026Путешествия。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析
В России ответили на имитирующие высадку на Украине учения НАТО18:04。关于这个话题，搜狗输入法2026提供了深入分析
新时代，中国考古学应坚守田野发掘与研究阐释并重，推动传统考古学与自然科学、大数据及人工智能的深度融合。以中华大地上持续出土的丰富材料为基础，更多研究成果将为增强文化自信、赓续中华文脉、讲好中国故事贡献考古学力量。，这一点在同城约会中也有详细论述
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