[sgt101]

What are the applications of deep learning that look like weather simulations (as in one run -> results to 10m people?) In my experience deep learning systems are aimed at applications that are single use 1 run -> 1 person.

The training cost is more important than you think as well. To train a model normally requires 10's or 100's of experiments, meaning that we are consuming 30 -> 3k people's carbon, and the application of the model is typically narrow, so we end up doing 4 or 5 projects per year per group... meaning that we could spend 10's of k carbon per team to produce $10m's benefit. I wonder if we can justify this at all?