OK, to be fair, I skimmed TFA and didn&#x27;t read every word.  But to the extent that I get the gist of it, I&#x27;d say this:<p>I don&#x27;t know that anybody seriously proposes that deep learning is the be-all end-all of AI techniques.  It&#x27;s VERY powerful for a lot of things, but I think DL researchers are aware of things DL doesn&#x27;t do &#x2F; isn&#x27;t good at.  Look at the recent book <i>The Master Algorithm</i> which breaks down a lot of what it would take to create a truly general purpose learning algorithm:  If you believe the author&#x27;s thesis, Deep Learning (or something like that) is just one piece of a much larger picture.<p>And without trying to start a debate over the merits of ML versus &quot;GOFAI&quot; or symbolic computation, etc., I think it&#x27;s fair to say that DL doesn&#x27;t really add anything in terms of reasoning.  It&#x27;s great at saying &quot;this picture has a cat in it&quot; or &quot;this wav file says &#x27;Hello, my name is mindcrime&#x27;&quot;, but that&#x27;s a pretty small part of what human intelligence can do.