There&#x27;s an outside company that was working on this: Neon Labs (<a href="https:&#x2F;&#x2F;www.neon-lab.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.neon-lab.com&#x2F;</a>).<p>Their insight is that not only are there images that are &quot;high-quality&quot;, but also images that are positive. Positive images get more clicks, over just a decent image. I wonder if that information is encoded in the RNN in some way.<p>(This is where I&#x27;d normally rant about RNNs and other ML techniques hiding this information from their creators by locking it up inside the black box, but I&#x27;ll save that for another day.)