orthogonal so the gradient magnitude is going to be this here is going to be approximately 0 so this is close to 1 and this here since this is also 0 is also close to 1 so this is going to be larger than 0 which means that their loss focuses on the examples that are that the network cannot yet represent well according to their objective which makes sense right first of all but second of all it that is exactly the same thing as in the cross entropy loss if you if you look at the cross entropy loss and you have a