It's work remembering that many times progress of held back by ideas that "aren't even wrong." The Perceptrons book wasn't wrong; it just attacked the wrong questions with an inadequate level of certainty in it's assumptions. It may be that we feel that we understand where machine learning is at now, but actually have a huge amount to learn because of inadequacies that we aren't even aware of.