I assume gravity. Since your dealing with forces. Is a differential equation. Loss functions in machine learning can look like some decreasing force. So I assume a force is like a iteration potential.

Then using the force mass acceleration equation and introducing iterations. The iterations mean that you need a force to flip a zero to one and one to a zero. That is the future decision data.

I assume that if you bring to masses together they need to calculate everything that could happen when two masses are brought together. Its like an axiom.

From this I guess that gravity as a machine learning model() of force changes. gravity = 1/m * model(F(iteration)).

So my conclusion is that gravity is iteration calculations that much like an A.I is seeking iteration energy which the universe assigns to each atom or particle in space and its decreasing surroundings.