I agree with both of you, but scaling isn't feasible with this paradigm. You could need continent-sized hardware to approximate general intelligence with the current paradigm.
> You could need continent-sized hardware to approximate general intelligence with the current paradigm.
I doubt it, if by "current paradigm" you mean the hardware and general execution model, eg. matrix math. Model improvements from progress in algorithms have been outpacing performance improvements from hardware progress for decades. Even if hardware development stopped today, models will continue improving exponentially.
