<div dir="ltr">John-<div><br></div><div>I'm not trying to take anything away from the accomplishments, but current deep learning architectures are nowhere close to strong AI, and in my humble opinion are likely a dead end in that regard.</div><div><br></div><div>I will quote the inventor of Keras which is a heavily used deep learning library layered on top of Tensorflow (or other) architecture to sum up my views:</div><div><br></div><div><div>"Neural networks" are a sad misnomer. They're neither neural nor even networks. They're chains of differentiable, parameterized geometric functions, trained with gradient descent (with gradients obtained via the chain rule). A small set of highschool-level ideas put together</div></div><div><br></div><div>and</div><div><br></div><div>"I'd say ML is both overhyped and underrated. People overestimate the intelligence & generalization power of ML systems (ML as a magic wand), but underestimate how much can be achieved with relatively crude systems, when applied systematically (ML as the steam power of our era)"<br></div><div><br></div><div><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Jan 16, 2018 at 5:35 PM, John Clark <span dir="ltr"><<a href="mailto:johnkclark@gmail.com" target="_blank">johnkclark@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif"><span style="font-family:arial,sans-serif">On Tue, Jan 16, 2018 at 1:31 PM, Dylan Distasio </span><span dir="ltr" style="font-family:arial,sans-serif"><<a href="mailto:interzone@gmail.com" target="_blank">interzone@gmail.com</a>></span><span style="font-family:arial,sans-serif"> wrote:</span><br></div><div class="gmail_extra"><div class="gmail_quote"><div> <br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr"> <div class="gmail_default" style="font-family:arial,helvetica,sans-serif;display:inline">> </div>There is zero comprehension. </div></blockquote><div><br></div><div><font size="4"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;display:inline"></div></font>I<font size="4">f that is true and if neural networks can can now answer questions about what they just read better than a human can (and they can) then I don't know what "comprehension" means, <div class="gmail_default" style="font-family:arial,helvetica,sans-serif;display:inline">but </div>whatever it means it can't be anything very important.</font><br> </div><span class=""><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;display:inline">></div> The nets are dead behind the eyes. </blockquote><div><br></div></span><div><font size="4"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;display:inline">If that is true then being "</div>dead behind the eyes<div class="gmail_default" style="display:inline"><font face="arial, helvetica, sans-serif">" is an advantage because it makes you more intelligent. Regardless of how you want to spin it the fact remains that as of today a computer can answer questions about what it just read better than a human can, and the implications of that fact are momentous. </font></div></font></div><div><font size="4"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;display:inline"><br></div></font></div><div><font size="4"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;display:inline">John K Clark</div></font></div><div><br></div></div></div></div>
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