FYI, virtual desktop (and steam link) on quest 3 recently got beta updates for wired modes (they just tunnel ethernet afaik, but its better than nothing for your usecase probably) since the OS has seemingly recently unblocked this.
You can already do a lot of it with ReShade shaders like the aforementioned SuperDepth3D, but it requires a game profile, tons of fiddling and non-incompatibility from the game. Having that shipped as dev-tested profiles with games would be the exact sort of thing that makes proton nice to use on the steam deck
But sadly not (officially) in 3D! SuperDepth3D is such a cool concept, I don't need most of my games to be full VR immersive camera experiences, but a nice big virtual full no-limits 3D monitor would be sick.
Oh, that'd make sense. I think the quest 3 has a depth sensor, but they mostly use that for room setup. I don't even think it has IR emitters for low light.
But that's the age old question about patents, if they're being granted too much they stifle innovation and competition instead of the opposite... (which is the point you were making as well).
On the quest 3, I've felt like the screen is just a bit too low res to use comfortably as a monitor anyways, so I imagine the Frame won't be much different. The better weight distribution should help a lot though.
It's absolutely wild to me that they didn't include, and have devs ship profiles for some of their games, SuperDepth3D or some other depth map shader officially in some form in the Steam UI for this. If a big focus is playing your pancake library on a huge screen (due to there not being not many native VR games), having that huge screen be 3D would be a huge value add. And they're big enough to get some developers to ship profiles for their games officially guaranteeing some form of workingness(?).
They seem to be getting pretty far with only vision, to be fair. Same with openpilot.
Still, I cant help but agree. If you have access to beyond-human sensors and are able to do sensor fusion, then please do it. What's the point otherwise? saving a few hundred bucks per car?
It's kind of insane how having this tech at this speed 5 years ago would have probably still been seen as insanely useful and revolutionary. If LLMs were more capable but dramatically slower, I wonder how it would impact how we use it? Dramatically more thought being put into prompts, much more preparation probably
A reminder that google is the only major lab without a meaningful opt-out of training on your data. The only way to opt out is to disable message history entirely, which seems like a darkest of dark patterns to get users to leave "opt in" to training on, because next to nobody wants to use it without message history.
Within the general theme of token subsidies slowing down, this seems like the logical step.
In my mind the timeline goes something like this product wise:
- Pepole figure out that having a general purpose not-just-coding agent actually works with newer models, openclaw and its buddies spawn
- How do you get this to the general consumer? Offer integration with services even stronger than before and give the chat a cloud vm with persistent storage as one path, claude computer use as the other.
- - Perplexity computer releases, and they slowly start nudging users from plan-included chat usage to more stongly limit using or even extra credit usage billed computer tasks
- - chatgpt and other main labs do the same with work, but they can afford to subsidize it a bit more still by just having it use codex quota
We'll see where it goes from here, but i do see the general trend of pushing people towards strongly billed features without explicitly taking away the previous chat experience because that'd make them look bad
I'd prefer that too. Preferrably with permission popups for requesting folder access outside of it. Shared libraries / whatever flatpak calls them could live at a central symlinked location?
Agreed. I've run into this way too many times, and now with a super aggressive oom killer config it still slows down until vscode or firefox just get closed. I wish it was similar to how it seems to be on MacOS from what I see on friends' screens, where theres some kind of hypervisor running that pops up a nice responsive GUI window saying "hey, xyz is using too much memory, close it or something else" while not locking up. But maybe that's also just the grass being greener on the other side?
The past DeepSeek models and now these new checkpoints score very badly on the ArtificialAnalysis AA-Omniscience and hallucination rate benchmarks. I wonder where that's from? Maybe they're overindexing on coding even more than others? I can't say I've noticed it in my (coding) usage so far, has anyone seen it make up potential root causes or other speculative stuff more than other models?
You make a good point about cultural things that would make one excited to learn a language. But I really struggle to imagine what could be done to fix that? Injecting more money into the film industry would just lead it to the same people at the top of it where they'll produce the same mediocre output as they have for ages. hmm
What a nice and heartwarming read! I'm german, and really hope we can pivot away from the rise of the far right. How that can be done, I don't know. I just hope we can do so before we start scaring away people like him who would otherwise come here, decide they like it, become germans, and end up making it a better place for everyone.
(Part of it is I think we should make it easier and more incentivized to learn the language early so not just people in english-dominated tech jobs can have a positive experience. Cold start problem. It shouldn't be too hard for the gov to commission a RosettaStone like german learning app ((suboptimal, i know)) that works somewhat well and give it out for free, right?)
But a struggling economy, questionable planning for many years now, the "educated middle class" he mentioned in the post shrinking don't bode well for it. It's a prime breeding ground for scapegoat politics. It's probably one of the cognitive "exploits" in the human mind, that finding a scapegoat (the foreigners) to blame for everything being such an effective tool to rally people with grievances behind yourself and slowly turning them into hateful monsters.
App tells customer to review it. Customer reviews the app honestly (the nag is annoying and deserves 1 star). Seems like the nag screen worked? :)
(Although in seriousness, I get this point they make further down in the article: "If we don’t request ratings from all users, then the self-initiated ratings tend to be disproportionately people with a complaint rather than satisfied users. ". That's a real problem. )
it has to be so bursty for realtime usecases like chat, which is what most people are using it for today. of course, once (if) stuff like software dark factories start working out for the average person, then you'll be able to make full use of your hardware for workload where asynchonous execution is feasible and have it run several parallel tasks overnight, with an orchestrator managing the gpu(s) allocations.
LLM inference unfortunately also seems to be a task that's poorly formed for moderate consumer hardware,as a single user. For a single user use case, the load is bursty but requires the weights to be in memory already. So a multi user server that keeps the model weights in parts of its memory and then spends some more per user kv cache is wildly more efficient and the wildly expensive gpu cores aren't just sitting idle most of the time. Don't get me wrong, most desktop workloads are bursty, but the power needed to to them has gotten cheap enough that we can have way overkill for idle scenarios hardware just sitting on our desks.
It's impossible to keep ads "clearly labelled" and seperate long term. Doesn't work. the incentive structures just don't work. serving answers becomes a cost center, and ads are a profit centers. so even though it may not even be on purpose, future models WILL be RL's or otherwise trained to elicit follow up questions from users that invite relevant ads in, or it will impact it through 2nd or 3rd order effects in some other form. This will also affect paying users who aren't even seeing the ads.
Yeah, this has been my progression as well. Maybe next it'll be just using plain pi when you figured out exactly what you want from omp and what you don't
Are thinking models only the reasonable tradeoff vs using much larger non thinking ones because the cost of output tokens is below that of input tokens?
That's a more than 2x jump in parameter count. I know it's not a measure of quality by itself, but it will be interesting how it "scales". Bust it looks like they're gonna be competing with the big boys now, pricing also approaches Gpt 5.6 Terra
I don't think that's it for console manufacturers. They make the majority of their money on game sales, so they want the console itself to be used for as long as possible.
We're moving towards total surveillance slowly but surely. Age verification. Chat control. To an extent also the digital euro. It all seems hopeless, they're pushing this through despite what semblance of a democratic process we have clearly being against it.
[that is not to speak of how undemocratic the european system is and how badly it needs reform. Von der leyen should never have been able to get the role she holds]