I think the whole idea of people running models is wrong. Models will run models, training will become distributed, and people will ask ModelNet to do whatever.

Computing tends to oscillate between centralised and decentralised models. It also oscillates between batch and timesharing.

Currently training is batched and centralised, access is timeshared and centralised.

But eventually a previous generation of computing turns into transparent networked infrastructure, and then you get another layer of new kinds of applications on top of it.

That's what happened with the Internet, and it will happen again with AI.