This is what really gets me with AI and why its 1000% a bubble.
Putting aside all the ethical problems.
Putting aside the environment problems.
Putting aside how basically everyone hates it.
Lets say its popular and will take off etc.
Its all going to become more efficient enough you can run it all locally. Why are we trying to piss away zillions of dollars on data centers and these stupid companies, when 99.9% of uses will work with a model running locally on the GPU/NPU?
This is what really gets me with AI and why its 1000% a bubble.
Putting aside all the ethical problems.
Putting aside the environment problems.
Putting aside how basically everyone hates it.
Lets say its popular and will take off etc.
Its all going to become more efficient enough you can run it all locally. Why are we trying to piss away zillions of dollars on data centers and these stupid companies, when 99.9% of uses will work with a model running locally on the GPU/NPU?
People who are focusing on consumer side ships and hardware (which I have been told Apple is) are going to be the big winners in the end.
Because its easier to disguise the surveillance centers that way
Running is one thing, training is another though. That doesn’t come cheap and is not really feasible at home.
However training also doesn’t require 40,000 datacenters.
Hyping up training and increasing its costs doesn’t keep the bubble alive.
It won’t, no.
Much already can. Even software dev.