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Gaming on Linux hasn't been great so far... (www.youtube.com)

submitted 4 weeks ago by Ulrich@feddit.org to c/linux_gaming@lemmy.ml

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tl;dw their performance numbers don't match up to what we've seen in the past. Some pretty significant decreases in performance over Windows. I think there's clearly some sort of configuration error there. They also ran into the old dual-boot problem where Windows overwrites the Linux partition.

In my opinion this is lazy and irresponsible reporting. I don't at all mean to discount his experience, they are legitimate concerns, and it's fine to show the struggles of using Linux, but it's very clear he (admittedly) doesn't know what he's doing, and they need to consult an expert (or even a casual user) to figure out what the problem is before reporting. He said in the last video that Bazzite reached out to him to let them know if he has any problems so they could help but he obviously did not do that. As is, it just makes Linux/Bazzite look bad.

I hope he follows up with another video discussing the solutions.

What do you think?

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[–] LoreSoong@startrek.website 3 points 4 weeks ago (1 children)

im with you man, FUCK ads, it was a major motivator moving from windows, as well as DRM and system level 0 anti-cheat.

you answered my second question but not in the way I intended, I meant to ask for more of a methodology like, do you just read the man pages? do you refer to AI? are you just full trial and error? does your work provide resources? Im asking because I generally want to see why its such an issue for people to find info, personally I use a mix of selfhosted AI and various forums and wikis. I wouldn't be supprised if some users are learning 100% through chatgpt or a single youtube channel.

Im experiencing much the same with the community it seems to be a 60-40 whether im going to find actual help or have someone just tell me to RTFM and the people who do care are absolutely kind and absurdly helpful. Your observation about the gaming focused linux community being slightly more on the toxic side is probably an apt assessment. and probably skews the initial proportion of 60-40 to the more to the toxic side where as it would otherwise be something like 80-20 helpful and toxic respectively.

[–] nickwitha_k@lemmy.sdf.org 2 points 3 weeks ago (1 children)

you answered my second question but not in the way I intended, I meant to ask for more of a methodology like, do you just read the man pages? do you refer to AI? are you just full trial and error? does your work provide resources? Im asking because I generally want to see why its such an issue for people to find info, personally I use a mix of selfhosted AI and various forums and wikis. I wouldn't be supprised if some users are learning 100% through chatgpt or a single youtube channel.

My recommendation would vary depending on use case.

If just gaming, yeah. Your approach sounds sane.

If wanting to tinker, develop, or, honestly, even do stuff like deploying local LLMs and the like, I would strongly encourage gaining familiarity with manpages. For anytime where precision and accuracy are necessary, like low level tinkering, I don't believe that should trust LLMs. Learning how to find relevant info in manpages and dev reference materials will save a huge amount of time and heartache.

[–] LoreSoong@startrek.website 2 points 3 weeks ago

Very helpful, I do find it hard to strike a balance with the efficiency of LLMs and the lack of accurate data. While I may reach an answer, I may end up spending an equal amount of time trying to create a concise prompt versus just doing the hard research and reading documentation. I wish there was a way to know how in depth of a question im asking is. Aswell as what type of surrounding knowlege might be useful in accomplishing my goals.

Good example: I had was attempting to set up a fancy custom hyprland setup. I may have spent much less time had I not refered to AI, not to mention I gave up and went back to gnome due to frustration with the innacurate or useless data given to me by my LLM. Had i known the scale of what i was getting into Id never have refered to AI.