I’m using Fedora KDE on my own PC, and it has been soft-bricked by updates multiple times, or by doing seemingly trivial things like choosing a theme from the built-in store. Seems quite unstable to me so it’s not something I would recommend to someone without the ability to repair their OS from a terminal.

Mint was my first thought as well. Haven’t used it myself but in the past I’ve heard that it’s supposed to be very user friendly and stable, though I’m not really up to date on Linux distros so I wanted to check if this was still was true (which is seems to be) and if there were any new options.

Do you know how mature it is as a desktop OS? I saw the official FAQ does recommend against using it as such. I tried it on a HTPC a few years ago but at that point it didn’t seem very usable outside of Steam’s full screen UI.

I’ve been using Fedora KDE on my own PC for a few years, but I’ve had some pretty severe breakages when updating. Though I suppose most of them happened because I had Cuda SDK installed, or monitor ICC profiles, but early on I also had Plasma crash on login while testing different themes. I’ll look more into Bazzite though!

It was surprisingly difficult to find, the majority of comments about 6.3 were people saying it was working great, but I guess most people don’t use ICC profiles for their monitors.

As long as they are talking about normal things and not playing D&D 😃

My paranoia level: Even though I’m pretty good with computers in general, I would not trust myself to set up a safe public facing service, which is the reason that I don’t have any of those on my home server. If I needed something like that I wouldn’t self host it.

The question is probably more related to what he has done rather than what he is doing right now, and he is kind of famous for having created Linux in the past. To someone who doesn’t know anything about Linux licenses I think it would be easy to suspect that Torvalds might have some kind of ownership of his creation.

An increase of 172000 monthly active Linux users (based on this)

It looks pretty, but IMO one of the selling points of zsh is that it allows async updating of the prompt, allowing you to use slow commands like “git status” without adding a delay every time the prompt needs to be printed.

E.g. the default prompt from prezto is quite light and responsive, but when inside a git repo adds the info on the right side (shows when you have commits ahead/behind the remote branch, stashes, modified/deleted/added/staged files, etc) when that becomes available.

Didn’t look like any of the example themes on ohmyposh.dev had the $RPROMPT stuff, which I guess would be difficult support for a cross-shell theming engine.

In the defence of client side AC; if the entire game runs on the server, then network delay makes FPS:es awful to play. Being able to trust clients and let them do hit detection is quite important in making online FPS:es responsive. In addition, cheats that remove walls/grass, highlight players or even autoaim are near impossible to detect server side. One could try to use heuristics and statistics but it would be difficult to tell the difference between cheaters and players who are just good at aiming and map awareness.

That’s been the primary reason why I’ve kept a Windows dual boot, though when I tried Steam VR on Linux a month ago it mostly worked well. Still some features that are unavailable, and a couple of bugs, but usable.

I had the same “unable to detect uplay” error except for a different Anno game. Here’s how I solved it, if you want to try:

• Install ProtonUp-Qt, then add SteamTinkerLaunch using it.
• In Steam, go to Properties… for the game that needs Ubisoft Connect. Then Compatibility tab, check “Force the use of a specific Steam Play compatibility tool”, and select “Steam Tinker Launch” from the dropdown.
• Start the game, and quickly press the “MAIN MENU” button at the bottom of the window.
• Click “One time run”, choose the UbisoftConnectInstaller.exe that you downloaded and click “RUN COMMAND”

Even when using it with a tablet, or did you try drawing with a mouse?

Can’t remember if it’s a default keybinding or if I changed it, but I use shift+meta+s to select a rectangle of the screen to copy. In KDE I have to select “copy” from the notification hamburger menu, Xfce I configured to automatically copy it to the clipboard. Then you can upload the selection to Discord and other apps with ctrl+v. Just meta+s copies the entire screen but I use that much less often.

Ctrl+h also toggles show hidden files, and it works in both KDE and Gnome/GTK including file selector dialogs afaik.

I could hardlink folders from one user to another

I don’t think you could, afaik hardlinks are only allowed for files. You might be able to something similar with a bind mount though.

Personally I keep those kind of folders outside a single user’s home dir. On one computer I have /home/Shared (not a real user, I just put the folder there… no idea if it’s a bad idea, but noone else is going to be creating users on that computer anyway).

A few days ago I wrote down a couple of links to interesting TTS projects that I was going to look into whenever I have time, along with some brief notes.

https://github.com/coqui-ai/TTS TTS + XTTS, GPU inference? 3GB model.

https://github.com/rhasspy/piper Low resource, CPU inference. 50MB model.

https://github.com/p0p4k/vits2_pytorch GPU inference? 500MB model. https://github.com/p0p4k/vits2_pytorch/discussions/27 Someone’s models for vits2

This is the first time I’m hearing about this, but this is how they describe it on their product page:

The AI-Powered Future of Windows Devices

Build, explore, and immerse yourself on select laptops with Ryzen™ AI built in. With dedicated AI accelerator hardware seamlessly integrated on-chip and software that intelligently optimizes tasks and workloads, CPU and GPU resources are freed up to enable optimal performance.

But based on the examples they have on github, it sounds like it might be useful to run generic AI compute stuff. I haven’t seen any details about what memory it uses, since especially LLMs require large amounts of fast memory. If it can use all the system RAM it might provide medium-fast inference of decent models, similar to M1/M2 Macs. If it has dedicated RAM it’ll probably be even faster but possibly extremely limited in what you can do with it.

There actually is a screenshot of the the prompt in the readme, but it’s quite small so easy to miss :)