Thank you to all! I was aware of what bazzite is but this might be relevant for some lurkers. I am indeed mostly interested in what my hardware can do. I don’t game enough to warrant a hardware upgrade right now. Once I do want to upgrade it would be good to see “what should I go for to be guaranteed a good experience on the more modern games I am curious about”. My desktop is aging and I might go laptop-only at some point and live without the latest AAA games, there’s a huge back catalog!

Thanks! This is very useful! Now, if this functionality could be combined with the UI of ProtonDB … 🤔

This is a great resource but tells me nothing about whether or not I’m likely to have a good experience on my device.

I was so sure I saw someone playing it in a video comparing performance between distros :/

That sounds like what I should play around with on my old X220 - thanks for also recommending a finicky option. I want more Linux in my life :)

No one picked up in the photo editing part. I guess I’ll look around a bit how the state of OSS tools is today. And what’s available as a flatpak maybe.

Thanks, that’s a great explanation! So in my terms, Bazzite is what I should consider for my daily driver, CachyOS might be worth fiddling around with on my “just for fun” thinkpad :)

Interesting, I’ll have a look! Any ad-hoc comments why it’s better than Cachy OS?

I’m starting to get the data hoarding crowd more and more. We have been taught this dream of “the internet never forgets” but people missed to mention that it’s on the average Janes and Joes to make sure that is the case. Corporations want the internet to forget because it’s better for business.

Sounds like an interesting tool! But the negative comments on here make me uncertain. Any more positive experiences? I actually recently thought about how Goodreads is not really what I want and I’m a developer. Not that I truly have time to contribute im afraid though .

I’m not personally coding with them, just often supporting people and their projects that do. Keras is also popular but I’ve at least personally seen slightly shoddier implementations with it. That could be selection bias though.

Maybe find some code to look at on the HuggingFace hub page? HuggingFace libraries or PyTorch are likely to give you really good learning opportunities and examples. Just keep an eye out for timestamps of articles or version numbers. And of course use venv/conda/… to not mess up your version when trying out different things 😉