In many cases, increasing the number of latent variables makes a model cheaper, though this relationship is not universal.

“subproblems, but as conditioning on some information, that can make it conditionally independent, and these subproblems can become a lot a lot simpler. So in many cases a model becomes cheaper if the more latency you have. Of course it's not always true, but uh generally speaking you want to have kind of flexibility, that you have tiny steps on like your which is”