What has been accomplished by this paradigm shift towards ML? Many models have been trained, which in their variety and accuracy seem capable of predicting nearly anything. There are models that accelerate the individual steps in solving the electronic Schrodinger equation, models that side-step the Schrodinger equation itself, models that predict complex potential energy surfaces, models that accelerate complex process optimizations, models that predict sundry properties of materials, models that generate super-resolution images, models that discern patterns in amorphous phases, and even models that predict which models work best. At risk of being tedious, this short list illustrates the pervasiveness of ML, while the miscellaneous quality illustrates its sometimes superficiality.