Great post, thanks! I saw Growing Neural Cellular Automata document you describe a strategy to get the model to learn attractor dynamics. I was kind of reminded of Deep Equilibrium Models (https://arxiv.org/abs/1909.01377).

Is there a relationship between these models and do you think these root finding and implicit differentiation techniques could be used to train Cellular Automata too?