reason flows and we were seeing in this lecture that really any likely hit based model is as a compression algorithm so what about flow models they should also be compression algorithms and so what what's particularly appealing about them is that you get this we can write down the exact the exact log likelihood flow model this is not a bound this is just the real thing so hopefully we should be able to get some really good compression with this so let's think about what that actually means it turns out that it