you know how do you actually close the cap and sample quality de Gans and also close the likely skoros gap between autoregressive models so the models would provide the pathway to do both and it's it's interesting to think about how to do all these things together so the negative of flow model says you expect to have the same dimension at every layer every stack of the flow and so it's unlikely to scale if your data is getting bigger and higher dimensional and unless you innovate on how to do dimensional reduction sauce it's unlike it'd be