arrow saying that instead of producing the dot on the right the model should have produced the dot on the Left which is the one that appears in the training set that means that over time the blue dot will actually get mapped to something more like the mean of all these different green dots and that causes us to learn things like blurry images when we try to learn to predict different images associated with some input generative Everest or networks don't actually directly use a pair of inputs and outputs to tell the model