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.
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据统计，此次空难造成至少15人（包括机上人员和地面车辆乘客）死亡，受伤人数超30人，埃尔阿尔托国际机场已暂停运营，民航部门正在评估恢复时间。
轮到我妈当家操办围炉时，除夕前往往还要上班，只能提前去菜市场了解行情、预订海鲜。凑不够菜式时，她常向娘家求援，我外婆便将拿手菜“酱烧鳗鱼”提前几日做好，转移至我家冰箱，除夕夜复热上桌。这大抵是现在风靡的“预制年菜”。
There are some very legitimate and more durable uses of PRF in WebAuthn, specifically supporting credential managers and operating systems.