A pool-table physics simulator built around next-state prediction

r/artificial
Generative AI

I’ve been trying to make an abstract physics/philosophy idea testable by turning it into a pool-table simulator. The idea is to compare normal physics with an experimental “next state prediction” model. Instead of starting with causality as the main concept, the experimental side asks: given the current state of the system, what next state is the most coherent continuation? Pool is useful because it is visually simple: balls move, collide, bounce off walls, and either the prediction works or it visibly goes wrong. This is very much a toy model, not a grand claim about physics.