different readings correspond to different aspects of data and it is like a model that allows you to do all these things together at once like you basically can sample so you are a gyrator model you have a density estimate so you can use for our distribution detection as a density model you have latent variables so you you do representation learning and you also have a bottleneck representation so you are able to reduce the dimensionality of your original data set so a VA is the only model that lets you do all these four things together and