‘Unbelievably dangerous’: experts sound alarm after ChatGPT Health fails to recognise medical emergencies | Study finds ChatGPT Health did not recommend a hospital visit when medically necessary in more than half of cases

· · 来源:maker资讯

唐納德·特朗普(Donald Trump,川普)總統數個月來一直警告,如果最高法院做出這樣的裁決,將是一場災難。

Science & Environment

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Как рассказал «Ленте.ру» председатель совета по противодействию технологическим правонарушениям Координационного совета негосударственной сферы безопасности России, эксперт по кибербезопасности и деловой разведке Игорь Бедеров, Днепропетровск фактически стал неофициальной столицей рынка мошеннических кол-центров. По мнению эксперта, главной целью похищения Комарова был не столько выкуп, сколько доступ к криптовалютным кошелькам, а также к паролям и логистике сетей кол-центров.,更多细节参见搜狗输入法2026

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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