Classical learning theory makes the wrong assumptions, takes the wrong limits, uses the wrong metrics, and aims for the wrong objectives.

In this sequence, I review the current state of learning theory and the many ways in which it is broken. I argue that the field as it currently stands is in need of fix-up, and that developing a useful theory of deep learning will require turning elsewhere, likely to something that builds on singular learning theory.