<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>fizixer</author><text>Question to deep learning practitioners:&lt;p&gt;Is there any research on comparing the 99.9% confidence about something wrong, to the human weakness of &amp;#x27;optical illusion&amp;#x27;?&lt;p&gt;If you watch a few minutes of this Dan Ariely TED Talk [1], we humans are fooled into near certainty that the table on the left has longer vertical distance that the horizontal distance of that on the right. Even after the speaker shows this is not the case, we still &amp;quot;confidently see&amp;quot; the wrong thing. (not to mention, we suffer from non-optical illusions as well, like cognitive biases, and fallacious reasoning, as shown later in the talk).&lt;p&gt;It seems to me you guys have discovered &amp;#x27;machine optical illusion&amp;#x27;. It&amp;#x27;s just that the machine has illusions about something completely different. I believe exploring the space of architectures&amp;#x2F;weights&amp;#x2F;what-not might lead towards making a machine get into the same kind of optical illusions as the human visual system gets into. At the least, it looks like a very promising research direction to me.&lt;p&gt;[1] &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;youtu.be&amp;#x2F;9X68dm92HVI?t=2m22s&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;youtu.be&amp;#x2F;9X68dm92HVI?t=2m22s&lt;/a&gt;</text><parent_chain></parent_chain></comment><story><title>How convolutional neural networks see the world</title><url>http://blog.keras.io/how-convolutional-neural-networks-see-the-world.html</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>cjenken</author><text>What I find interesting is that the auras that I get as a precursor to my migraines don&amp;#x27;t look far off from those images.&lt;p&gt;If you were to take a C shaped slice and overlay it onto video and then animated the color you would pretty much have it.&lt;p&gt;It would be interesting to see if they were connected somehow...</text><parent_chain></parent_chain></comment><story><title>How convolutional neural networks see the world</title><url>http://blog.keras.io/how-convolutional-neural-networks-see-the-world.html</url></story>