I believe pipewire should be able to do the routing. Pulseaudio as well.
I believe pipewire should be able to do the routing. Pulseaudio as well.
Never is a long long time
Lol, are you 15?
Until recently the reason was waterproof ratings.
In arch it’s just very easy to forget to install a specificoptional package for a subsystem that makes a feature of gnome work.
What’s the problem with dedicated home?
I love “unimplemented!”
deleted by creator
There’s dozens of us
Writing this on op6 with lineage. They changed the battery for 60 bucks and it still has an up-to-date Android. Great phone.
Might have to try that out. Since installing Linux I’ve mostly run Gnome and I like it a lot so far.
I believe in hybrid models. Sometimes tiling is really nice, but what I really want is a better and customizable snap window management.
If you heat things electrically you still generate waste heat. Think electrical stove and its bigger industrial counterparts.
I had the same impression until I dusted off my banana pi one last month and there was an up-to-date armbian image for it. Totally pleasant surprise.
Yes of course, but a lot of energy is currently also used for heating things in cooking steel, chemical industry, concrete, etc. Those processes need energy as heat and directly produce waste heat. I agree it’s probably still significant. It’s just wrong to reduce energy consumption to “making things move”.
Correct me if I’m wrong, but electrifying a process doesn’t automatically make it not produce waste heat, right?
Some ai models perform at 4 bit resolution. Maybe there’s a chance?
Maybe store the things inside a proton mailbox? Then you can also send mail…
There was a study on Facebook that showed that they could predict with between 80-95% accuracy (or some crazy number like that) your gender, orientation, politics, and so on just based on your public likes. That was ten years ago at least. What is this even showing?
Advocates diabolo: that a large language model can do it without extra training, I guess. The Facebook study presented a statistical model on “like space” while this study relies on text alone, a much less structured type of input.
I’m not saying it’s a good study. Just pointing out some differences.
This