One remaining gap between these hybrid systems and ducklings, children etc is that their deep component still is doing supervised learning, with a data set that

One remaining gap between these hybrid systems and ducklings, children etc is that their deep component still is doing supervised learning, with a data set that pre-provides a vocabulary of labels, whereas humans and animals don't get that. We have to decide which distinctions are important either because of in-built neural structure, or what we're exposed to (like learning the phoneme set of a language). While unsupervised learning can pick out a bunch of ways of distinguishing groups of data points, mapping between those and the representations required by a symbolic system still seems like a step no one has figured out.