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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.
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Montgomery and others were careful to say that Linux ID will not magically prevent another xz‑style supply‑chain attack, but they argue it materially raises the cost. Instead of a single PGP key and a handful of signatures, an attacker would need to accumulate and maintain multiple, short‑lived credentials from issuers that can revoke them and from community members whose own reputations are in play, all while their activity is streamed into public or semi‑public transparency logs.
«Это обусловлено тем, что проект центра сфокусирован на других направлениях медицинской помощи», — объяснили ситуацию в Мытищинской областной клинической больнице.
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