A curious detail that would so soon be replaced by thermal receipt printers.
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Ледники на юге Исландии，推荐阅读WPS下载最新地址获取更多信息
尤其让我惊艳的，是它在每页备注中生成的演讲词：内容口语化，且熟练使用了「在正式开始之前」、「接下来」等衔接词。这甚至让我感到一丝被硅基生物支配的恐惧：也许未来在台上的某次宣讲中，我们已分不清演讲者是在阐述自己的思想，还是仅仅充当了 AI 的「肉身代言人」。，更多细节参见51吃瓜
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.，这一点在爱思助手下载最新版本中也有详细论述
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