the sort of statistics of the world so with all things neural network you know like we just hide all the like the parameter search that went into it there is indeed so the failure mode in general when it can't when it doesn't learn so if we have like the hyper parameters wrong or whatever is that it predicts the last frame that's usually our benchmark against which to see if it's working so we take the reconstruction lost if you just said it's the same as the last frame and then compare how much we improve the error and then you're