The models were still (and probably still are actively being) trained in giant data centres that devour energy and water.
Sure, you using it technically doesn’t hurt the environment any more but the technology as such definitely does.
The models were still (and probably still are actively being) trained in giant data centres that devour energy and water.
I hate to tell you, but your Lemmy instance is in a datacenter too. Most everything on the Internet is in a datacenter.
The important detail is that an upscaling model and a large language model are vastly different things despite both containing the word model and using neural networks.
As to training costs. You can train an upscaling model on your phone in a few hours. It would take you millions of years to train an LLM on your phone (not to mention requiring about 12,000x as much RAM).
You’re just repeating talking points on topics without understanding them or how they apply.
Training AI models takes quite a bit of energy. But probably less than you think. Without knowing how much you think I can’t say for sure, but I can say that AI is so far down the list of water consumers that any time it comes up I can be fairly confident.
The models were still (and probably still are actively being) trained in giant data centres that devour energy and water.
Sure, you using it technically doesn’t hurt the environment any more but the technology as such definitely does.
I hate to tell you, but your Lemmy instance is in a datacenter too. Most everything on the Internet is in a datacenter.
The important detail is that an upscaling model and a large language model are vastly different things despite both containing the word model and using neural networks.
As to training costs. You can train an upscaling model on your phone in a few hours. It would take you millions of years to train an LLM on your phone (not to mention requiring about 12,000x as much RAM).
You’re just repeating talking points on topics without understanding them or how they apply.
Training AI models takes quite a bit of energy. But probably less than you think. Without knowing how much you think I can’t say for sure, but I can say that AI is so far down the list of water consumers that any time it comes up I can be fairly confident.
DLSS models are not even in the same league as LLMs from a training perspective.
The comment section is full of people trying to use anti-LLM arguments against DLSS because they both use neural networks.
It’s like people are against matches because they’re hot and nuclear weapons are hot so matches are basically nuclear weapons.
Yeah. It’s beyond unnuanced thinking and is a bit brain-dead :(
See AI, neuron activates, “AI bad”