I have an undergraduate degree in Math and generally find math quite enjoyable, however, even I had a pretty hard time grasping most of what this blog was talking about. I think it pretty quickly went from extremely high level (add noise to image, then remove noise) to extremely low level specific.

Also I had a hard time figuring out which part of the equation differentiate the equations for different data points, is that what the meaning of "theta" is in all the equations? To guide the initial noise towards one type of image instead of another is that what theta is responsible for? Is the innovation in GenAI images to use text embeddings to create the theta?

I definitley feel some tears coming on.