There was a great article called <i>The Space Doctor&#x27;s Big Idea</i>, published in the New Yorker a few months back. It explained Einstein&#x27;s theories in the top 1000s English words used in America.<p>While sone might wave their hands and call this an eli5, it was quite well done and between that and some xkcd comics I was able to learn enough to ubderstand how orbit works and a few other awesome facts.<p>I am interested in finding something similar for machine learning. I am not embarassed to admit that, <i>Super-Linear Gate and Super-Quadratic Wire Lower Bounds for Depth-Two and Depth-Three Threshold Circuits</i>, is just way too complex for my casual interest but would like to know more about how AI&#x2F;ML works conceptually. Clearly the discipline underpins a bunch of services I use regularly and as computing and techniques improve it will start playing a more conspiscious role.<p><a href="http:&#x2F;&#x2F;www.newyorker.com&#x2F;tech&#x2F;elements&#x2F;the-space-doctors-big-idea-einstein-general-relativity" rel="nofollow">http:&#x2F;&#x2F;www.newyorker.com&#x2F;tech&#x2F;elements&#x2F;the-space-doctors-big...</a>