Interesting work to see as I&#x27;ve promoted this view myself. Specifically, that the brain is designed to rapidly acquire knowledge with relatively little data in childhood then changes overtime somehow. Not to mention people&#x27;s reasoning ability that often seems closer to a self-modifying, expert system that NN&#x27;s don&#x27;t seem anything like. So, it all uses neurons but different types that smoothly integrate.<p>Hence, the DNN&#x27;s modelling a small part of the brain that doesn&#x27;t even do our thinking isn&#x27;t going to make thinking machines. The machines will be really stupid and hard to train. Humans are hard enough to train: takes two decades on average. The ability to automate abstraction, understanding, and feedback via example generation all on small amounts of data is critical.<p>If that&#x27;s not found, then my next question is, &quot;Will DNN&#x27;s deliver acceptable models for non-recognition tasks they&#x27;re aiming at or will they experience The Second AI Winter when truth sets in?&quot;