const response = await fetch(url);
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.
。关于这个话题，51吃瓜提供了深入分析
以台积电为例，台积电高性能计算业务主要为英伟达和大规模云服务提供商制造AI芯片，现在约占台积电收入的58%，远超智能手机处理器业务的29%。在这种情况下，苹果不得不与AI巨头共同争夺台积电的产能，并接受越来越高昂的价格。另外，在内存供应上，我们还看到，苹果被迫调整了供货谈判周期。郭明錤表示，目前苹果内存供货已从传统的半年期谈判，改为按季度协商。
滴滴方面还表示，今年在春运与春节部分高峰时段试行司机服务费，并在北京、泉州等地组建春运保障车队，补充夜间与枢纽运力。