Мощные взрывы фугасных авиабомб ФАБ-3000 Воздушно-космических сил России сняли на видео. Кадры опубликовал Telegram-канал «ИЗНАНКА».
Скриншот: Telegram-канал Sport Baza
。关于这个话题，PG官网提供了深入分析
This article originally appeared on Engadget at https://www.engadget.com/ai/google-to-provide-pentagon-with-gemini-powered-ai-agents-161037444.html?src=rss
В США испытали новую версию «уничтожителя» российских С-40020:41
One key part of this relative verification cost is that generative models produce plausible output. It’s not accurate to say a model produces “correct” or “incorrect” output, or “makes mistakes”. It does exactly what it’s designed to do: produce output that is statistically related to the input prompt, in some way. That doesn’t mean “statistically correct”, just “statistically related”. All output is correct, in the sense that all it’s suppose to be is a point in the distribution of things related to the prompt. Maybe you produce C code with memory errors most of the time, but most C code has memory errors. Maybe you mostly produce correct bash scripts for installing packages, because most bash scripts for installing packages on the internet are correct.