New research challenges a popular conception of how machine learning algorithms “think” about certain tasks. The conception goes something like this: because of their ability to discard useless information, a class of machine learning algorithms called deep neural networks can learn general concepts from raw data—like identifying cats generally after encountering tens of thousands of…