Me too, they just keep on investing in interrop and I’m all for that.

Right, better be safe than sorry. The important point though IMHO that with Proton and now FEX they have shown that compatibility layers are not that costly or complex :

• try to make it run
• nothing works
• note precisely what doesn’t, try a way
• one thing work and it’s slow as heck
• understand why
• 2 things now work, one of them is fast, the other slow
• rinse&repeat until it’s good enough to crowd source quality control to others

So… I don’t want to diminish how amazing that is, technically speaking, but we now all know it’s feasible. Initially it looks like supporting an entire OS architecture was ridiculous (and it was, emulation was just “good enough” for games that were some years old and for much more powerful machine) until somebody tried “just” swapping or fixing the right API (i.e. DirectX) and … that was actually OK.

Again, it’s a TON of work. A lot of it also comes from Wine. But… now we now why it works and how to do that. Even if Valve were to lock SteamOS, that knowledge wouldn’t be lost on the broader community.

PS: they briefly mention this during the Tested video (sorry YouTube only) on the new hardware.

FWIW been using SteamOS on the SteamDeck for ~3 years now and from gaming to tinkering, no major problems. Never had to tinker hard or re-install. A couple of time it didn’t suspend properly or I had to hold power button of to force a shutdown but that’s about it.

I doubt Valve would back of from the openness because that’s their one single advantage.

True, but would one want to have a BigTech labels on their Linux distribution? Wouldn’t that kind of miss the point and bring us back to e.g. ChromeBooks?

I’m a bit too lazy to check for the entire stack I admit but I bet a lot of those actually do. Still to do a quick check Google for examples is on https://ev.kde.org/supporting-members/

Inserts?

official backing from an 800lb gaming gorilla

Eh… aren’t most of the largest corporations contributing to Linux already? I’m not sure what you need beside Google, Meta, Microsoft, Amazon, Oracle, Samsung, etc https://www.linuxfoundation.org/about/members

‘VR is a great way to experience shitty games

Have you tried Half-life: Alyx?

I recommend you give that, or something equivalent, a go without even buying any hardware. Either ask a friend or go to an arcade. You don’t need to shell out a grand to try.

If you hate it, move on.

Sorry to hear, hopefully you’ll get a solution soon. Thanks for the clarification

giga octet, like byte https://en.wikipedia.org/wiki/Octet_(computing)

Just curious, what do you actually use which requires more than 32Go?

Genuine question here, for a “normal” computer user, say somebody who :

• browses the Web
• listens to music, play videos, etc
• sometimes plays video games, even 2025 AAAs and already has a GPU relatively recent and midrange, say something from e.g. 2020
• even codes something of a normal size, let’s say up to Firefox size (which is huge)

… which task does require more than say 32Go?

tone

this one https://github.com/sandreas/tone “tone is a cross platform audio tagger and metadata editor to dump and modify metadata for a wide variety of formats, including mp3, m4b, flac”

regarding RSS feed I just download them regularly, e.g on crontab one can add 0 3 * * * cd ~/Music && ~/bin/yt-dlp -x https://hearditherefirst.blog/category/dubstep/feed/ but if you need something a bit more refine with filtering consider e.g. jc --xml withjq and `wget.

Me getting 480p videos for my video projector : “Oh… no really?” ¯\(ツ)/¯

PS: FWIW I do have a Vision Pro (for work, I didn’t pay for it personally) so I technically could enjoy high res content… but honestly I can’t bother using this to watch videos. I’m fine with just my desktop screen or video projector. I just don’t get the high res.

just leveraging his pre-existing family wealth and connections to do so?

Oh he is absolutely pulling himself up from his bootstraps, his are just made out of emeralds.

lol, performance art. That’d be interesting. I’d watch too.

Plus 20K people did watch a fish play Pokemon.

Also now that I think about it, it shouldn’t be too hard to feed a vision model a specific subset, e.g. https://darksouls.wiki.fextralife.com/Weapons of the visuals of all equipment and only then give advice. There is so much hierarchical information in there, e.g. one doesn’t get an Elden Ring weapon in Dark Souls, or does not get an end of the game weapon (except with glitches) after 1h of play time, etc so it’s possible to narrow the search space a lot.

I imagine a lot can be done with just few curated sources. Now… again (and I apologize for repeating myself so much while possibly sounding pedantic), why? Like what’s the actual point?

Thanks again. Well the first sentence started so good, correct game, neat,… but then wrong weapon… so totally pointless.

Again this can eventually be fixed. It’s “just” a data problem, and that’s exactly what models (and the entire infrastructure of data centers and researchers funded by VC money) excel at. So I think one can safely bet it will get there.

But… today, can one genuinely imagine playing Dark Souls (or any other game) without… knowing it? Like how does search for the wrong weapon and sometimes the right one help? How is that more convenient that picking a weapon up the searching manually for its name on desktop or mobile knowing with 99% certainty it will be the right one and advice will be genuine and relevant?

Wow thanks for genuinely trying and formatting this properly!

So… it’s interesting BUT on this specific part, there is a “trick” IMHO so I’d be curious how frequent that is : text!

What I mean is I know of Dark Souls but I haven’t played it. Yet, solely by putting the only visible piece of text available (OK let’s ignore “20” also) in a search engine “Asylum Demon” I get relevant suggestions, actually helpful content like fextralife right away.

I’d argue then the interesting question becomes how much context is needed to get useful advice… and more importantly how much context is gained with an image versus what the player already knows, e.g. game name, maybe “level” or anything unique, e.g. here boss name.

Spot on, it’s a variation of the “Robots were supposed to clean the house why I make art, not the other way around” meme and arguably Moravec’s paradox.

If someone somehow wants to test this locally I suggest

• install locally a vision model, e.g. Moondream (which Ollama supports but alternatives too), then
• take a screenshot of your game,
• write a prompt like “How can I play this game better”
• query the vision model with the image and your prompt

marvel at how pointless and costly the whole setup is and how a basic query on e.g. DuckDuckGo with “game name” + prompt would yield way WAY better results from actual human, uninstall the whole, keep on playing with your actual brain.

At least now you can say you tried before you complain, rightfully, that it sucks.

For more check https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence

PS: I didn’t actually try this, I’m too lazy for that right how but feel free to report back if you do!

Edit : 2 potential optimization (despite not being sure it ever makes sense in the first place!)

• do so automatically, e.g. ~/gaming_screenshots directory (via e.g. Spectacle shortcut) monitored via inotify then notify-send the suggestion, thus stay in game during the whole process
• fine tune on specific visual datasets, e.g. rely on fextra as mentioned in https://lemmy.world/post/37758804/20113877