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.
合并过程：用临时数组，双指针比较两个子数组元素，小的先放入
。搜狗输入法2026是该领域的重要参考
❯ sudo ostree admin config-diff | grep motd # No diff，更多细节参见搜狗输入法2026
特朗普威脅已有貿易協定國家別「玩花樣」2026年2月24日，这一点在safew官方下载中也有详细论述
依然是我们熟悉的 5000mAh 电池、无缘蓝牙功能的 S-Pen，以及一块 6.9 寸的旗舰级 2K 屏。