It seems to me that images and sounds are &#x27;alike&#x27; in a way that doesn&#x27;t (on its obvious face) expand to include Atari game strategies and evaluating Go positions.  In which case generalizing across the latter gap is more impressive than a single algorithm working well for both images and sounds.<p>The difference isn&#x27;t easy to describe, but one such difference would be that a single extra stone can change a Go position value much more than a single pixel changes an image classification.