predict the data so one way to do this very simple way is you only give it half of the input signal and you train it to predict the other half so now we not just the compression it's not just that you keep taking the pixels and compressing them you need to think a little bit more you need to think about context and what should go well with with the input that you got ok and one very simple way of doing this is to split the data in terms of color and and and luminance so this was our paper a few years back where we said okay let's take let's take