Machine Learning - Is There a Need for Knowledge Based Models?

Some of the success of symbolic systems in the 80s is they were able to assemble these kinds of facts better. Do you ever look back to that as something that we'll have to return to eventually sort of dust off the book from the shelf and think about how we build knowledge representation? In my particular line of work, which has mostly been machine learning security and also generative modeling, I haven't usually found myself moving in that direction. But if we had a really easy way of giving feedback to machine learning models, that would clearly help a lot with generative models.