All machine learning is just renormalization which in turn is a convolution in Hopf algebra. That's why you see superposition
"In physics, wherever there is a linear system with a "superposition principle", a convolution operation makes an appearance."
I'm working this out in more details but it is uncanny how much it works out.
I have a discord if you want to discuss this further