Diffusion can be formulated as a smooth, continuous Markov process with infinitely many steps.

“what you for example parameterise. And then the the actual let's say uh big steps are just by the fact that you have latent which you conditional. And of course the like absolute limit would be you say well I what if I have infinite latent. And that's we give it a diffusion. You have diffusion is the idea of hey, I have a Markov process, similar to like M_C_M_C_ like you have a Markov process with just with infinite steps. I can make it smooth, continuous.”