future the entropy is higher and so the amount of actual information amount of bits that are shared between the two entities are not much so predict like for making a neural network focus on those stars may actually end up encoding not very useful features so the hard part about CPC is trying to pick the right number of time steps to predict into the future or like they're how you sample the negatives but if you get those details right the features learnt are really useful and on par with supervised learning so one