If I understand your point, I'd suggest that it may apply best to the use of DL for low level AI -- seeing, hearing/generating speech, and recognizing/ navigati

If I understand your point, I'd suggest that it may apply best to the use of DL for low level AI -- seeing, hearing/generating speech, and recognizing/ navigating/ interpreting complex signals of other kinds. There classification is secondary to modeling the many subsymbolic facets endemic to raw analog signals. I suspect DL will eventually settle into a less vaunted role in the historical saga of AI than it portends now. And that role may well be the 'grounding' of sensory experience -- the modeling of the world into something perceptually and cognitively manageable, like Plato's shadows on a cave wall.