Crowd funding models seems especially interesting, since in theory you could fully automate the process. Submit the dataset and code you want to train with, then once it's funded the service automatically runs the training and releases the resulting model to backers.

Such a platform should include a cloud to run the model, where backers would share the revenue earned from people using the model through an API.

Stable diffusion is on the order of millions of dollars.

It was about $200k in compute.

Is there a breakdown of the costs available to view?

https://twitter.com/emostaque/status/1563870674111832066 says "We actually used 256 A100s for this per the model card, 150k hours in total so at market price $600k"

But they still have those A100s?

I think you have to compare it to how much ETH you could have mined as the opportunity cost of training a model vs other uses of a GPU

I think it was donated by AWS or something. This is not a scenario where it makes sense to buy and maintain your own server park of GPUs, when there is a race to the bottom already with cloud-based GPU rentals.

Also compare the impact of releasing Stable Diffusion vs 'yet another coin'/web3 announcement.