autoregressive models for the first time and this was done by this architecture engineering and scale so this shows the power of flow models of potential they have in terms of closing the gap in density estimation between autoregressive models without having the powerful or aggressive structure but at the same time being really fast with sampling and also potentially useful for inference so given all these practices there's a lot of future work left in terms of how to learn the masks how do you actually completely close the gap