A reasonable question. My answer is a lot of state in computing is digital. e.g. off, booting, loaded, running, paused, error. While this isn't an insurmount

A reasonable question. My answer is a lot of state in computing is digital. e.g. off, booting, loaded, running, paused, error. While this isn't an insurmountable hurdle, I would suggest the floating point arch of present AI would benefit from incorporating more discrete state. Similarly, I don't whether AI weights are computed all in virtual parallel, but if they are computing every node simultaneously that will be less efficient than the Neumann model in which a Program Counter (PC) acts like a "cursor" hopping arund and iterating states of the discrete code model at points throughout it. E.g. a video game with a controller and various sprites will have objects that update at various rates and the player moves with different code underwater than in the air, than on land, so different parts of the model would execute.