> If Proposal H has a weakness, it's that it does not distinguish between local and cloud-based LLMs

Is the energy usage so different between local and cloud inference? Both require electricity, the local option even more than the better optimized cloud variant even perhaps. How either is powered makes the crucial difference I suppose. Both can potentially run on solar as well as gas or nuclear.

It's the training that takes the most energy, and that needs to happen for locally running or cloud models regardless.

What am I missing here?