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«В то время как такие лидеры, как Виктор Орбан из Венгрии и Хавьер Милей из Аргентины, собрались, чтобы поднять тост за новую эру "коммерческой дипломатии", человек, чья судьба страны была главной темой обсуждения, находился в другом месте», — говорится в статье.

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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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The comparison with Git doesn’t stop there - OSTree allows you to create commits, new versions of our system, and switch between these versions just like you would with Git commits (git commit and git checkout).