[lkm0]

It's an optimistic point of view. Still, when people use large neural nets to model physics, they also have a lot of parameters but they replicate very simple laws. So there's something deeper about this. Something like a simulation of theory.

[pixl97]

The deeper may just be the uncertain nature of quantum physics. That is any complex system must be built from redundant and repeatable actions, and/or have a self correction mechanism to fix itself if a bit happens to flip out of the universe. This leads to the evolutionary weeding out of indivisible complex systems as the system gains more components its improbable that a load bearing structure in that system will not fail.

Hence every system we get to see in nature is built from smaller components that generate complexity via repetition.

Our computers don't escape from this either. As the components get smaller you end up with your charge probability field outside of your component traces.