The trouble with neural networks is that they&#x27;re just good enough to keep us from continuing to question our assumptions about human intelligence.<p>A thousand years ago, even Ptolemy&#x27;s geocentric model was good enough. After all, it offered an effective means for simulating and predicting planet movement and solar eclipses. But it was complex. It took men of &quot;great learning&quot; to understand the solar system according to Ptolemy&#x27;s model --something that most current grade schoolers understand intuitively.<p>In all likelihood, concepts like string theory and neural networks are comparable traps for us today. This is not a pleasant thought. So we&#x27;re not motivated to search for better alternatives until the current model evidences an insurmountable flaw.<p>I&#x27;m not saying that string theory or the neural network approach is wrong. Obviously it&#x27;s not. Just remember that Ptolemy&#x27;s model wasn&#x27;t wrong either, at least with regard to the moon.