The Gap in Knowledge

There's a deep link between the fact that we can comprehend the thing and that we can turn things into algorithms. We don't have a deep understanding of Darwinian evolution, because we can't turn it into an algorithm today. But what we're really talking about here is a gap in our knowledge. And we just haven't figured out how to understand the problem deeply enough to be able to come up with the right sorts of solutions. If you were to rethink machine learning in terms of Popper's epistemology, that you would understand it at a deeper level,. It would eventually lead to a deeper research program.