Always wanted to like gnome but never could, and xfce is fine but I much prefer KDE, it is verry likely that I’ll actually keep it till my pc breaks.

You’re confusing AI Training with AI implementation.

True, the training is what needs the most power and water, for the implementation it highly depends on what kind of AI we are talking about and how many people use it per day, stable diffusion for instance is also costly when used. But in the end companies still need to regularly train their AI to stay relevant so the issue remains.

AI implementation is where the money is made, and lots is being made.

“Money is made” yes, “lots” no absolutly not, the money AI companies made are in the small millions per year, while their expenses are in the billions, for instance Anthropic made an impressive 900 mill last year for a ridiculus 5 billions in cost, ChatGPT is in the 6 billions and its only an advanced chatbot.

Are you that obtuse to the millions of subscriptions people are dishing out

Actually all that I said take these subscriptions into acount, the amount of money it generates is simply not enough compared to the cost of AI.

Are you not aware of the AI vision systems being used in the past 5 years making fucking $$$$$$$$ ? All of us gamers out there… all that $$$ into hardware to have DLSS is just ‘no real value’ ?? Why are you commenting on a topic you clearly have no idea how or where its being used?

The way you are mentioning techs that are nothing alike even though it has AI in the name tells me you know far less than I do.

It’s crazy considering the world we all live in today…

the power source is irrelevant to the argument

Even countries can’t yet rely on clean energy alone to power everything they have, and for what we know the electric cost for AI has already matched the consumption of some countries. Google promised they would rely only on clean energy for their own AI, only to admit the task is yet impossible. You also don’t mention water consumption, wich is so big it has been made illegal in several countries to prevent shortages.

Tbh it is actually the biggest argument here, because not one AI compagny has ever made a single dime, they all run at an unprecedented loss, without investors continuously wasting money in them they would all have died. The value of AI doesn’t outmatch such costs, to a point a lot of economists think it might be a bubble that will eventually explode.

It’s innovation

For it to be innovation, it would need to bring real value, something that eleviate the costs, so far it has none, the only thing AI companies really sell isn’t innovation but the idea of it. Funny enough, the tech in itself isn’t the problem here, it might sure have real usefull cases and real value, but not in the way we are applying it today and surely not how we are selling it.