From what I’ve seen so far, the case here seems to be that it’s only being done to shorts, and what’s happening is that they’re being permanently stored at a lower quality and size and are then upscaled on the fly. I mean… it feels kinda fair to me. Theres a good reason YouTube has so little competition, and it’s because how hard and expensive maintaining a service like this is. They’re always trying to cut costs, and storage is gonna be a big cost. Personally, I’m glad it’s just shorts for now. It absolutely shouldn’t be happening to people who are paying for the service or making money for it, though.
I mean yeah, it doesn’t seem entirely unreasonable. But if it actually was reasonable, wouldn’t they just inform the uploader?
Or give an option to toggle. Surely letting people turn it off would save them even more resources, if they don’t have to bother with upscaling the video in the first place.
It likely costs them less to upscale than it does to store and serve a full sized video, so they’re not giving the uploader the choice.
It would not make any sense for them to be upscaled on the fly. It’s a computationally intensive operation, and storage space is cheap. Is there any evidence of it being done on the fly?
It would if they can do it on your device.
While it could theoretically be done on device, it would require the device to have dedicated hardware that is capable of doing the processing, so it would only work on a limited number of devices. It would be pretty easy to test this if a known modified video were available.
AI upscaling can be run on a ton of devices nowadays.
Also people are forgetting it’s not just storage, it’s bandwidth they save with this move. So even if they store both the low and high res copies they can save 4x the bandwidth (or more) serving to devices with upscaling capabilities.
it wouldn’t need dedicated hardware, it would just be slower on phones without that hardware. there’s nothing that AI does that can’t be done on any phone or PC.
same thing with ray tracing, it’s technically possible on cards that aren’t a part of the RTX line, they just can’t do it as fast as an RTX card (per NVIDIA).
That would depend entirely on WHAT its doing. I have not personally seen any of these videos yet, but based on what was described in the article, I would imagine that a typical CPU would not be able to handle it.
a typical CPU in a phone would do just fine. AI effects in photo and video started coming out in phones before new phones started having dedicated hardware to accelerate it. phones have been doing stuff as intensive as that for years. for example, iPhones have been able to make complex and precise full scale textured replicas of real world environments that you can then import into Blender using their lidar capabilities for years. that’s quite a bit more intensive of a process than using AI to edit a video.
and as for a PC, there isn’t anything you can do to edit a video using AI that a PC CPU would not be able to handle. if a 10 year old laptop can generate video out of thin air using genAI, then applying a sharpening effect would be a piece of cake. hell, I’ve done stable diffusion on a laptop with just 4GB of VRAM. it’s quite a bit slower than with a faster PC, but certainly doable.
It’s not that computationally intensive to upscale frames. TVs have been doing it algorithmically for ages and looking good doing it. Hell, nVidia graphics cards can do it for every single frame of high end games with DLSS. Calling it “AI” because the type of algorithm it’s using is just cashing in on the buzzword.
(Unless I’m misunderstanding what’s going on.)
You are right that nvidia cards can do it for games using DLSS. Nvidia also has a version called RTX video that works for video. But are they could to be dedicating hardware for playback every single time a user requests to play a short? That is significantly different than just serving a file to the viewer. If they had all of these Nvidia cards laying around, they surely have better things that they could use them for. To be clear here, the ONLY thing I am taking issue with is a comment that it seems that youtube may be upscaling videos on the fly (as opposed to upscaling them once when they are uploaded, and then serving that file 1 million times). I’m simply saying that it makes a hell of a lot more sense any day of the week to upscale a file one time than to upscale it 1 million times.
It would make sense if it’s a scheme to inject ads directly into the stream so adblockers wouldn’t work anymore.
They could do that without upscaling. Upscaling every video only fly would cost an absolute shit ton of money, probably more than they would be making from the ad. There is no scenario where they wouldn’t just upscale it one time and store it.
It’s not so much that they down- and upscale the video of shorts, their algorithm changes the look of people. It warps skin and does a strange sort of sharpening that makes things look quite unreal and almost plastic.
It is a filter that evens the look with images generated by, say, grok or one of the other AI filters.
In a year people will think that “AI-look” is a normal video look, and stuff generated with it is what humans can look like. We will see crazed AI-fashion looks popping up.
Yeah, upscaling can generate artefacts and such.
“AI”
Sharpening, Denoising and upscaling barely count as machine learning. They don’t require AI neural networks.
Sharpening is a simple convolution, doesn’t even count as ML.
I really hate that everything gets the AI label nowadays
The “ai bad” brainrot has everyone thinking that any algorithm is AI and all AI is ChatGPT.
Thisthisthis
But you can use AI for that
Nice
(linked from the article about a Netflix series upscale)
Seems like this should be illegal, Google should be broken up, and its leadership imprisoned
We say that so often, it’s lost meaning.
I’m huge into makeup, and I watch a lot of beauty content on YouTube because I want to see how certain makeup looks and performs before I buy it. This AI bullshit defeats the purpose of demonstrating makeup.
yucky, shorts lol
I KNEW THOSE SHORTS I’VE BEEN WATCHING HAD THE “AI LOOK” GOD-DAMNIT! With the smooth faces and the weird plastic looking contrast.
Don’t watch shorts
Why? I like shorts, bite sized, shaped for mobile when I’m in bed or shitting, interesting content — my feed is very curated after many years of training it, so I only ever get interesting stuff, no brain rot 👍. Coincidentally my Watch Later list is getting out of control. 😓
I like
W R O N G
Looking at the vote ratio, apparently so!
I had accidentally fat fingered a downvote while laughing at myself. Fixed it so your ratio looks better now.
lmao why am I getting down voted 😆 serious replies only please 🙏
My biggest issue with shorts as someone whos watched them is they very often leave out a lot of context or very important information. Shorts are just an evolution of clickbait titles or inflammatory headlines in my opinion. Theres some that are really good but the primary nature of shorts means your exposed to all types not just good ones.
I pretty much get only good quality content. I am very particular about my viewing history. A lot of shorts are probably click bait, but I’ve been very diligent with down voting, and pressing “don’t show this account again”, removing accidental garbage from my viewing history, stuff like that. I believe it has paid off in the end.
Stop consuming content.
Guess I better get off Lemmy then
Well, youtube is not even intended to host quality content anymore, but besides that, this appears to just be visual tweaks. This title is trying to be vague enough that one could assume it’s tweaking the content itself which would be of real concern. It’s not doing that (for now). Video graphics seems like an awefully minor thing to be screaming about AI over. Especially when AI has actual reprocussions in the knowledge accuracy sector.
From what I’ve heard this mostly happens on YT Shorts, and the AI upscaling they’re doing is making people look like plastic and uncanny as hell.
I haven’t noticed on normal videos, since that’s pretty much all I watch.
It’s very likely to do with compression codecs to save money.
