A16荐读 - 休憩

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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.

When Chávez became Venezuela's president in 1999, oil prices were climbing. In the early 2010s, a barrel would often fetch about $100, providing the government with plenty of money to pour into social programmes. But with current prices around the $65 mark, the country looks less like a reasonable investment.

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Hours after exclusion of Anthropic, OpenAI announces fresh Pentagon deal, but says it will maintain same safety guardrails at the heart of the dispute。关于这个话题,Line官方版本下载提供了深入分析

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