The fundamental principle of Deep Learning is that truth, maybe even Truth, lies in a big puddle of unparsed data, and a sufficiently speedy computer that can zip through and turn the data into other data comprised of relationships will eventuate into some reflection of this t/Truth. Seems to make enough sense on the face of it, but nobody has asked the question: Can human-sized truths be extracted from planet-sized datasets? Or: What is the relationship between the dataset and the individual? In the currently-fashionable model, the individual does not exist except as, at best, a cluster of datapoints, and then, only in and as a relationship. All fine and well, maybe even quite metaphysically Buddhist, but since when did we have Buddhist metaphysician computers influencing public thinking?