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.
Юлия Мискевич (Ночной линейный редактор)
,推荐阅读爱思助手下载最新版本获取更多信息
巨亏1800亿元,玛莎拉蒂母公司业绩爆雷
供应商用液压切割机把书脊整齐切掉,散开的书页随即被送进高速工业扫描仪,扫完之后,剩下的纸张交给回收公司处理。一家参与报价的扫描服务商在提案中写道,Anthropic 希望在六个月内完成 50 万到 200 万册书的数字化工作。