Москвичей предупредили о резком похолодании09:45
So-called "celeb bait" ads have been a long-running issue for the company. Engadget has previously documented celeb bait scams on Facebook, including ones that frequently use Elon Musk and Fox News personalities to hawk fake cures for diabetes. The Oversight Board has also criticized the company for not doing enough to combat such scams. In its update, Meta says that "because scam ads are designed to look real, they’re not always easy to detect." The company also noted that it has now enrolled "more than 500,000" celebrities and public figures into its facial recognition system that's meant to automatically detect scam ads using the faces of famous people.
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Even the risk of hurting children does not stop fraudsters says Dr Selvarani Elahi
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
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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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