In a 2016 paper, Hany Farid, a computer scientist at Dartmouth, along with some colleagues, found that “observers have considerable difficulty” telling computer-generated and real images apart—“more difficulty than we observed 5 years ago.” On the bright side, though, when the researchers provided 250 Mechanical Turk participants with a brief “training session”—by showing them 10 labeled computer-generated images and 10 original photographs—their ability to distinguish between the 2 types of images improved significantly.