utopiah @ utopiah @lemmy.world

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2 yr. ago

Unfortunate for you, I'm using also the Index and seems I'm lucky with SteamVR, Proton and an NVIDIA card.

Have you tried using Proton? Worked out quite well for me so far. Check https://www.protondb.com

You actually reminded me I have a Windows 100Go partition. I reduced its size but really, based on when I last boot on it, I should really delete it.

You're just making another assumption, maybe the dorm has optic fiber with a big bandwidth and a lower latency that most home and business connection. Maybe OP doesn't care about 120hz and only heat. I don't think you are getting my point if you are pointing out imperfection about the current technology : it's possible.

See also suggestion on hardware and commercialization https://lemmy.world/comment/12248508

no business in the capitalist world where selling ads is a billion dollar industry is going to make this available

How about an open-hardware open-source project on e.g CrowdSupply (something like https://www.crowdsupply.com/jie-zou/rggber but dedicated) where everything is setup to do so efficiently, e.g an HDMI/HDMI box where you put the signal in, get the signal out, and on its own does nothing but cool looking visual filters, e.g from color to black&white, yet when the user reconfigure it, with community made filter, it removes ads?

annotate them by adding the time stamps then the location on the image

Depending on your legislation it might be legally mandatory to disclose, so if one can have an automated way to know this, it would simplify greatly the problem.

I agree but I don't watch TV so I don't bother. Yet... I still hate product placement so I might be interested in such a solution. Anyway here is how I would do it :

• evaluate what exists, e.g SponsorBlock, and see what's the closest that fit my need, try it, ask in forum or repository issues if modifications are possible
• gather videos of the typically problematic content, say few hours to start
• annotate them by adding the time stamps then the location on the image
• replace problematic content with gradually complex solutions, e.g black, average color of the area, denoising (quite compute intensive)
• honestly evaluate the result
• consider the biggest problem, e.g here on first pass fixed content so a detector based on machine learning for the type of content could help
• iterate, sharing my result back with the closest interested community

Honestly it's a worthwhile endeavor but be mindful it's an arm race. There are a LOT of smart people paid to add ads everywhere... but there are even more people, like you and I, eager to remove them. IMHO the key trick is, like SponsorBlock, to federate the efforts.

Right, and I mentioned CUDA earlier as one of the reason of their success, so it's definitely something important. Clients might be interested in e.g Google TPU, startups like Etched, Tenstorrent, Groq, Cerebras Systems or heck even design their own but are probably limited by their current stack relying on CUDA. I imagine though that if backlog do keep on existing there will be abstraction libraries, at least for the most popular ones e.g TensorFlow, JAX or PyTorch, simply because the cost of waiting is too high.

Anyway what I meant isn't about hardware or software but rather ROI, namely when Goldman Sachs and others issue analyst report saying that the promise itself isn't up to par with actual usage for paying customers.

I'm also no stockologist and I agree but I that's not my point. The stock should be high but that might already have been factored in, namely this is not a new situation, so theoretically that's been priced in since investors have understood it. My point anyway isn't about the price itself but rather the narrative (or reason, as the example you mention on backlog and lack of competition) that investors themselves believe.

I'm not sure if you played PCVR in the Summer but imagine that in a tiny room... it's just way too hot. Again I'm NOT saying it's good, or bad, I'm only saying you made assumption about OP usage. I'm not sure if you tried CloudXR but basically, it works and it's not that complex to setup (e.g 1h) so it's relatively faster and cheaper than building and owning a gaming PC.

I don't understand why you are even arguing about a legitimate usage.

Sure yet it's a perfectly legitimate one. I'm not OP, it might be exactly their use case.

Can't help but wonder what has been the impact of the support, e.g through subsidies, for automaker industry both nationally and internationally.

We keep on hearing that it's a huge industry, that it "creates" lots of jobs, that people buy cars from their own country as a form or pride, etc. I bet some of it is true but I also bet the negative impact is not communicated as clearly. Any research on the topic? I imagine it might highlight precisely how the EV transition (which in itself is also problematic due to car usage, battery recycling, etc) has been radically slow down, maybe also public transport usage, CO2 emission, etc. Anyway I'd love to read a paper on the topic.

You do if you are rendering in the cloud, e.g NVIDIA CloudXR. Not sure what OP plans to do.

Not a lawyer but if you have an email that says you can, I'd argue it's override the ToS assuming the person giving permission actually legally can.

Anyway I bet what they avoid is reselling access so I believe as long as you don't pay for yourself then resell to others you'll be OK.

Stuff like LLMs or ConvNets (and the likes) can already be used to do some pretty amazing stuff that we could not do a decade ago, there is really no need to shit rainbows and puke glitter all over it.

I'm shitting rainbows and puking glitter on a daily basis BUT it's not against AI as a field, it's not against AI research, rather it's against :

• catastrophism and fear, even eschatology, used as a marketing tactic
• open systems and research that become close
• trying to lock a market with legislation
• people who use a model, especially a model they don't even have e.g using a proprietary API, and claim they are an AI startup
• C-levels decision that anything now must include AI
• claims that this or that skill is soon to be replaced by AI with actually no proof of it
• meaningless test results with grand claim like "passing the bar exam" used as marketing tactics
• claims that it scales, it "just needs more data", not for .1% improvement but for radical change, e.g emergent learning
• for-profit (different from public research) scrapping datasets without paying back anything to actual creators
• ignoring or lying about non renewable resource consumption for both training and inference
• relying on "free" or loss leader strategies to dominate a market
• promoting to be doing the work for the good of humanity then signing exclusive partnership with a corporation already fined for monopoly practices

I'm sure I'm forgetting a few but basically none of those criticism are technical. None of those criticism is about the current progress made. Rather, they are about business practices.

Their valuation is because there’s STILL a lineup a mile long for their flagship GPUs.

Genuinely curious, how do you know where the valuation, any valuation, come from?

This is an interesting story, and it might be factually true, but as far as I know unless someone has actually asked the biggest investor WHY they did bet on a stock, nobody why a valuation is what it is. We might have guesses, and they might even be correct, but they also change.

I mentioned it few times here before but my bet is yes, what you did mention BUT also because the same investors do not know where else do put their money yet and thus simply can't jump boats. They are stuck there and it might again be become they initially though the demand was high with nobody else could fulfill it, but I believe that's not correct anymore.

Unfortunately it's part of the marketing, thanks OpenAI for that "Oh no... we can't share GPT2, too dangerous" then... here it is. Definitely interesting then but now World shattering. Same for GPT3 ... but through exclusive partnership with Microsoft, all closed, rinse and repeat for GPT4. It's a scare tactic to lock what was initially open, both directly and closing the door behind them through regulation, at least trying to.

I’m sure whatever the next fad is will require a GPU to run huge calculations.

I also bet it will, cf my earlier comment on rendering farm and looking for what "recycles" old GPUs https://lemmy.world/comment/12221218 namely that it makes sense to prepare for it now and look for what comes next BASED on the current most popular architecture. It might not be the most efficient but probably will be the most economical.

move on to the next [...] eager to see what they come up with next.

That's a point I'm making in a lot of conversations lately : IMHO the bubble didn't pop BECAUSE capital doesn't know where to go next. Despite reports from big banks that there is a LOT of investment for not a lot of actual returns, people are still waiting on where to put that money next. Until there is such a place, they believe it's still more beneficial to keep the bet on-going.