both will happen

eeeeeeebay

Maybe $200 on a bad day, but still far better than anything newer

Root going god mode still gives me chills.

Echoborgs FTW

Tesla P40 24gb VRAM, $150 only 1 or 2 gen behind the 3090

maybe consider Tesla P40s

24gb, lots of CUDA cores, $150 each

I'm amazed how far down the list this one is

I don't think 'human level' means human brain, but consciousness and 'being-hood' should be doable.

"human brains are an RNN running on biological substrate" - Carmack

At least that what me and a bunch of other people are working towards :)

taking a systems approach you do not need to know how the human brain works and the recent results show that we are closer than more people realize. Certainly not billions of times more complex.

Carmack was correct when he said that AGI will be 10k's lines of code, not millions. Brains aren't that special.

Pocket gods will be the only saving grace here. Everyone will be able to create AGI soon(ish) which should stop any one org or group or individual from dominating, but if we don't get the ball rolling on the Open Source AI right now, we are screwed.

having used a lot of Stable Diffusion and LLMs locally on old hardware, I don't think it's going to take a supercomputer, just the right set of libraries/implementations/optimizations

I think you are putting agi on a pedestal, it won't be that complex or expensive to run. Also I was specifically referring to tech being pushed underground if outlawed, which will absolutely happen with cryptography, crypto currency, and AI if outlawed.

what a useful and concise statement

It's the same with crypto ($ and encryption) and a million other disruptive and potentially dangerous technologies. Banning them will just drive them underground where they will become far more dangerous.

Open-Source first. We will all have pocket gods soon

I've got an M40 and love it

yeah you can easily use it all up from both image scale and batch size. Also some models are a bit heavy and don't leave any for the actual generation.

Try "pruned" models, they are smaller.

since the training sets are all on 512x512 images it makes the most sense to generate at that res and then upscale.

I did this with a M40 24gb, super cheap, no video out, lots of cuda cores, does all the ML/AI stuff I want it to do.

same idea but a bit more work: I got a tesla M40 (24gb vram) for $175 on ebay and it runs all the models no problem