Do they have any sort of chart showing zeroes are able to learn more games/state spaces with less domain specific information and less compute and space require

Do they have any sort of chart showing zeroes are able to learn more games/state spaces with less domain specific information and less compute and space requirements? For instance, if we are getting into an exponential tradeoff curve (seems possible due to enormous number of GPUs), then it is hard to see how this will scale to human level type intelligence. These one off experiments make it hard to know if AI is truly progressing or not. Naively I'd assume due to the decision tree leaves growing exponentially with depth, then we are facing an inherently unscalable problem, and we only are getting current gains due to advances in hardware, but the gains are only linear with exponential hardware improvements, especially if Moore's law is giving out and even with parallel computation we might end up turning the earth into a giant GPU array before we can reach parity with human intelligence.