Amodei declined to change his stance and stated that if the Pentagon chose to offboard Anthropic, "we will work to enable a smooth transition to another provider, avoiding any disruption to ongoing military planning, operations or other critical missions." Grok is one of the other providers the DoD is reportedly considering, along with Google's Gemini and OpenAI.
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ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45
Глава пояснил, что недостоверные данные касаются удара ВСУ по автосервису в Сеймском округе. Тогда не удалось спасти 25-летнего сотрудника ремонтного предприятия.
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.