The speaker says representing the process with conditional probabilities yields a more general model that scales with the problem.

“And what I did is I from this as a inference problem. But basically I say well if we go down from the root to uh to one of the nodes, you effectively do a conditional probability. Like you you have a probability to choose either left or right. Then you have another to choose in left or right. And that gives you a much more general probel uh much more general model which kind of grows with your problem.”