Niesamowicie dobre wyniki Google
Ale co najbardziej zaskakuje, to wzrost przychodów z chmury 63% rdr - mówimy tu nie o małej spółce, a o przychodach (z tego źródła) rzędu 460 mld $!
Kiedyś już o tym wspominałem - największym zwycięzcą modeli LLM, nie są sprzedawcy modeli, ale Ci, którzy mają infrastrukturę do ich uruchamiania.
Google mogłoby udostępnić Gemini jako open source, a i tak zarabiałoby na zasobach, które ten model zużywa.
Had to denounce one person because they had a really low quality AI generated avatar. If their AI generated avatar is bad, their AI generated code is surely bad. No shirt, no shoes, no service, buddy.
A lot of people don't seem to understand that if you ask an AI the SAME question, you will get the SAME answer. Every. Single. Time.
To avoid that, the models "salt" your prompt by adding random input params so that the model does not take the same path.
But LLMs are not random or unpredictable - if you ask it the name of TinTin's dog, and it gives you an answer, then the same model with the same weights and the same input will ALWAYS say Snowy.
Introducing Gemini on Mac.
It’s the first time we’re bringing the @Geminiapp to desktop. The team built this initial release with @Antigravity, and it went from an idea to a native Swift app prototype in a few days.
More features on the way!
@Ethan_Smartsys@0interestrates it's just a culture thing, you want to LGTM a known person, same within Google, also applies when a change id hits fancy number such as 69420, then plenty of people jump in and LGTM (those usually are cosmetic as the mandatory LGTM is needed from the file owners)