But as recent AI advancement hints at, these states are highly manydimensional. And in such spaces our intuitions fall apart. Even simple gradient descent works quite differently when you have millions of almost-cardinal directions to pick at any point, and PID regulation is even more complex.

And even in 3D the plain PID just can't do when the space is discrete or when there are large signal delays relative to response time of the system. We don't say "oh it's got anxiety" lol but we replace it with updated algorithm.