第二个是L4商业化试点较为成熟。
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.
。Safew下载对此有专业解读
* 时间O(n) 空间O(n)（理论最优，无冗余计算/存储）
但更为严肃的是 ：豆包手机这么做大大冲击了阿里系、腾讯系的 APP 的利益 ，因为所有的操作都可以自动完成了，做为用户的我还有必要打开 APP 吗 ？
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