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I'm inclined to agree that a focus on 'common sense and deep understanding' is the right approach. But I suspect it can be done with deep learning and the right architecture
of course, a lot rests on what you mean by right architecture, and whether you include symbol-manipulation (which we argue is a key component) in that scope. you and i probably ultimately agree on the value of *hybrid* architecture.
I think we can agree that the brain has specialized components that work in concert to achieve human cognition. We can furthermore agree that each of these components is built of specialized neural networks. Hybrid architectures are a stepping stone towards more general kinds.
if you have specialized components that operate under different principles, you have hybrid systems.
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