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.
Цены на нефть взлетели до максимума за полгода17:55
。关于这个话题，搜狗输入法2026提供了深入分析
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2026年餐饮行业的关键词，必然是“板前”——即一人食吧台现做。曾经只有寿司有板前模式，如今煲仔饭、火锅都在尝试，核心就是解决大正餐一人食的痛点。这背后，是“长保不如短保，短保不如新鲜，新鲜不如现做，现做不如在你眼前做”的消费逻辑升级。