 So we just saw a high-dimensional problem an embedding problem so in many cases The fact that deep learning happens in high-dimensional spaces is the key to understanding how it works So I want to make sure that you all have the right angles the right interchance here, so Let's say you draw two points from high-dimensional Gaussian distributions evenly distributed every axis is as important as another one. What's the angle between random points drawn like that?