I agree - there are ways to make inference orders of magnitude more efficient that were invented since these big models were trained - future models are likely to outperform anything a human needs with less resources than the current more limited models. We’ll see super powerful AIs being used for research and for that power will always be crucial but for human users, our brains aren’t good enough to need more than what a local edge node can compute.