It's far too early to render a judgment on the long term potential of DL toward building Commander Data, both pro and con. But after some 60 years of AI resear

It's far too early to render a judgment on the long term potential of DL toward building Commander Data, both pro and con. But after some 60 years of AI research we understand the problem space pretty well, and we can see also that DL has shown little or no promise toward serving many of the component processes necessary to deliver General AI/AGI. (And just because you can federate and combine DL networks like you can NAND gates doesn't mean they are turing equivalent to the human brain. It's fundamental to claims of such turing-AI-equivalency that we have absolutely no idea yet how to do this -- making yet another AI technique likely to suffer the same fate as all preceding AI methods in failing to solve general AI problems, that is, a failure to generalize and scale up beyond serving a specific narrow task, AKA brittleness.) For instance, Gary Marcus at NYU has addressed the present limits of DL in terms of cognition in several papers and talks: https://arxiv.org/abs/1801.00631 https://arxiv.org/abs/1801.00631 https://medium.com/@GaryMarcus/the-deepest-problem-with-deep-learning-91c5991f5695 https://medium.com/@GaryMarcus/the-deepest-problem-with-deep... Likewise, Doug Hofstadter has been critical of using DL to automate machine translation's semantic nuances: https://qz.com/1088714/qa-douglas-hofstadter-on-why-ai-is-far-from-intelligent/ https://qz.com/1088714/qa-douglas-hofstadter-on-why-ai-is-fa... At present, it's still unclear how DL could surmount single-task brittleness to address these shortcomings, much less diversify into the use of logic or the modeling of concepts, their dependencies, causality, explain itself, and much more. Unbridled faith in DL's ability to jump these sharks should be tempered by the AI community's past mismeasures of earlier AI tech that we were sure would conquer everest over the years, but in fact fell far short (e.g. perceptrons, expert systems, backprop-driven shallow nets, and oh so much more).