At least here, in a very low-end system, Fedora just freezes when ram is full, it's not as smooth. On Windows, there was a ton of problems, but in general, this never happened. Windows would increase the "swapfile" to 20gb, but would never let the system completely freeze.
My guess it's just the default kernel settings that Arch use instead of Fedora.
Arch uses zswap, while Fedora use zram... there's other stuff as well.
It's linux in the end, so you could just change several settings on Fedora... But then... why if you can just install arch?
I think some people are very used to high RAM devices, and doesn't realize these days how some distros can be very bad on low-end systems.
Like, packagekit on Fedora it's a ram hog (and they acknowledge that). Windows these years been bad, but the situation in some linux distros is not great either.
What Linux does better, it's respecting user choice and UX.
Lol. At first I was thinking it was a AI kill switch on web pages (like Google overview...). I guess was being naive that they would do that, and also weird because there's barely any AI stuff on Firefox indeed...
Brazilian Serpro (state IT company) also has a deal with Palantir.
"The partnership between Serpro (Federal Data Processing Service) and Palantir Technologies is a technological collaboration focused on leveraging large-scale data analysis (Big Data) and the implementation of Artificial Intelligence (AI) in the Brazilian public sector"
If you mean minute-accurate forecast for the next 4-6 years... That's called Nowcasting, and yes, it exists. Bing Weather have it, ACCU Weather as well. Rain viewer too. I believe Google already implemented on Pixel Weather at least.
IMO the best of these are Bing Weather and Rain Viewer, both provide rich maps showing where the rain it's going and all too. And how much.
Those summaries would be far more expensive to generate than the searches themselves so they're probably caching the top 100k most common or something, maybe even pre-caching it.
It does memorize. But that's not actually very news.... I remember ChatGPT 3.5 or old 4.0 to remember some users on some reddit subreddts and all. Saying even the top users for each subreddit..
The thing is, most of the models were heavily post-trained to limit this...
In practice, I guess most people realize because web tech just behaves different than native.
reply