I've been waiting for the Symbolic/NN pendulum to starting swinging back the other way and start settling in the center. NN/DL is great for the interface between the outer world and the inner world of the mind (pattern recognition and re-construction), and symbolic AI more straightforwardly represents more "language of the mind" tasks, and easily handles issues like explanation and other meta-behaviors that with DL is difficult due to its black-box nature. DL's reliance on extension/training vs. intention/rules can develop ad-hoc intentional emergent theories which is their strength but also their weakness as these theories may not be correct or complete. Each can be brittle in their own way - so it'll be interesting to see more cross-pollination.