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.
We are aware of two mistakes in our efforts to verify the signatures in the form so far. One person who was not an employee of OpenAI or Google found a bug in our verification system and signed falsely under the name "You guys are letting China Win". This was noticed and fixed in under 10 minutes, and the verification system was improved to prevent mistakes like this from happening again. We also had two people submit twice in a way that our automatic de-duplication didn't catch. We do periodic checks for this.
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