A team of researchers at Carnegie Mellon University have developed an artificial intelligence system that automatically transfers content from one film into the style of another. In the vein of "deep fakes", the A.I.-augmented videos infamous for superimposing one person's face onto another's body, the CMU system presents another case for how difficult it could be to distinguish fiction from reality in the future. The CMU researches have named their system Recycle-GAN, after a class of algorithms that help make deep fakes possible by applying the style of one image or video to another. In a video released early this month, the researchers demonstrated how a source video of Barack Obama speaking can be processed to make it seem as though Donald Trump is mouthing the word. Or a monologue from John Oliver can be transformed into one from Stephen Colbert. Recycle-GAN isn't limited to human faces either.