So what happens when we figure out how to 10x both scale and throughput on existing hardware by using it more efficiently? Will gigantic models still be useful?
Of course! We still have computers the size of mainframes that ran on vacuum tubes. They are just built with vastly more powerful hardware and are used for specialized tasks that supercomputing facilities care about.
But it has the potential to alter the economics of AI quite dramatically
But it has the potential to alter the economics of AI quite dramatically