It's a boring tautology. Arcade games require "clever" (read: not generalizable) solutions to optimize for speed in decision making. "Learning" AI requires the

It's a boring tautology. Arcade games require "clever" (read: not generalizable) solutions to optimize for speed in decision making. "Learning" AI requires the broadest feasible search space for any solution and successful designs require clusters of machines. Clusters of machines have network latency and coordination overhead. This is the same latency vs throughput design decision that every system must make, and its not impressive when a throughout oriented system struggles with being latency sensitive.