Well, this was disappointing: > There is a significant caveat to this math. These numbers cannot serve as a proxy for how much energy is required to power some

Well, this was disappointing: > There is a significant caveat to this math. These numbers cannot serve as a proxy for how much energy is required to power something like ChatGPT 4o. Otherwise this is an excellent article critiquing the very real problem that is opacity of these companies regarding model sizes and deployments. Not having an honest accounting of computing deployed worldwide is a problem, and while it's true that we didn't really do this in the past (early versions of Google searches were undoubtedly inefficient!), it's not an excuse today. I also wish this article talked about the compute trends. That is, compute per token is going significantly down, but that also means use of that compute can spread more. Where does that lead us?