right because that is basically the inner product and you look at this term this term is exactly what we saw in the gradient then you see that this here since this is one this entire thing is zero this is all so highs this is close to one so this entire thing is zero this is almost zero but if you have a hard positive where the network hasn't learned yet to align the inner product properly or align the representation properly then the angle between the things again these are normalized the angle is they are approximately