data point and then you add noise and the noise puts it here when you reconstruct the system is going to think it was that point and so the reconstruction error is not going to be very good because it's going to confuse one you know one data point with another one so when you train the system the consequence of of this noise is that all those fuzzy balls are going to fly away from each other okay they're going to try to get as far from each other as possible to minimize the confusion and that doesn't help you it just makes the