Honestly I’ve found the opposite of what you said, where on Debian based distros I commonly had to go to a project’s git repo and follow readme instructions to build when it wasn’t in an apt repository. Meanwhile on arch, the only thing you have to install manually is yay and then afterwards everything is in the AUR. Not saying that makes arch more user friendly than Debian (obviously), but that one aspect I do actually find easier on arch at least if you’re willing to use an AUR helper.

I don’t think I’d call it anything wrong, but the subvolumes definitely do make it different for installation purposes so that following ext4 instructions for bootloader configs or kernel arguments could put you on the wrong path

Some desktop environments (plasma 6 at least) support it when running in Wayland - my daily driver for months has been an HDR setup (with a nvidia gpu, even) and it’s been great. It’s not quite ready for non-technical users, but imo it’s not far off and I can’t wait for it to be more common.

Yea as opposed to the windows method of “just open regedit and navigate 8 folders below HKEY_CURRENT_USER to change some ambiguous system variable in hex” lmao

I’ll take editing a text file in /etc/ for my configuration any day

Your build looks good (setting the ongoing intel issues that somebody else already mentioned aside), but personally I’d consider a different drive than the Samsung - it’s a great drive, but usually overpriced imo. If you can get it for a good price then absolutely go for it, but most times I find sn850x drives significantly cheaper and insignificantly slower. Otherwise, the only other note I’d make is that grub is abysmally slow at higher resolutions on chips with no igpu, at least when using a nvidia gpu. I’m not certain if this would apply to an AMD gpu, and either way you can just use something better (cough cough refind) to avoid the problem, but for anyone who just wants the default out-of-the-box bootloader on most distros to just work properly it might be worth spending the extra ~$40 for the K series instead of the KF to get the igpu. It’s not something I’d recommend doing personally, but it’s at least worthwhile to know about when you’re making the K/KF choice imo. Anyway, good luck with your build and have fun with setting everything up!

Never thought I’d have to give the Texas government credit for anything tbh, but I’m glad to be wrong. Now if they wanna keep this momentum going and repeal all the awful dehumanizing laws they’ve passed recently, maybe I’d even start to respect them lmao

Yes but like it or not, it’s a threeway with zuck

In Canada we have Kijiji, which is… not perfect for privacy, but at least it’s not facebook

I hadn’t, and it was definitely worth reading so thanks for the link. I’m still not sure exactly where I stand on the big AI companies relentlessly scraping everything for training data, but that was very convincing that copyright laws aren’t the solution (and I already believed better labour laws were needed for artists, though the details of exactly how music artists are getting shafted were new to me). Thanks for the link!

Whether or not you agree with AI image generation, the authors of this study have pulled off something impressive. This particular study isn’t going to be the single most important thing to humanity this year, sure, but they made a pretty clever stride in pushing a developing field forward and you don’t need to be excited about the field itself to appreciate that.
I’m assuming your dislike for AI image generation is based on the plagiarism issue, which is absolutely valid, but model architecture is separate from training data and the concepts here are perfectly usable with a more moral training set. The companies scraping all the data - OpenAI, google, and to a much lesser extent stability AI - are the ones to blame for that problem, not researchers working on model architecture.

I did a search for nvidia on my system and got these, which OP might wanna check for too:

egl-wayland
lib32-nvidia-utils
libvdpau
libxnvctrl
nvidia-open
nvidia-settings
nvidia-utils
opencl-nvidia 

I’ve installed extra packages for proton and machine learning, so some of these may not be there, but hopefully that helps.

I ran it (bg3.exe) through the latest vanilla proton (9.0.1 I think?) earlier today and it had no issues. I used the experimental version for character creation and it had some fucked up textures (color banding mostly), but after switching it ran perfectly in the stable version. I’m running thru steam on a nvidia gpu, so hopefully on amd you’ll be fine if you try that.