全链路性能调优：实现成本下降 50%
回到最初的问题：德索托的理论是正确的，1990年代的改革也曾奏效，为何秘鲁仍然重新陷入危机？答案是：产权改革只是第一步，制度建设却是长期工程。改革让资产可以资本化，却没有解决更根本的问题——谁来持续保护这些产权？
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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.
Assembly Bill No. 1043 was approved by California governor Gavin Newsom in October of last year, and becomes active on January 1, 2027 (via The Lunduke Journal). The bill states, among other factors, that "An operating system provider shall do all of the following:"