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A DARK piece of software allows users to superimpose the face of their favourite celeb onto an actress in a porn film. Emma Watson, Arianna Grande and Taylor Swift are just some of the famous faces to have fallen victim to FakeApp, which has been downloaded more than , times. Its origins can traced back to a single Reddit user going by the moniker "deepfakes" , who edited Wonder Woman star Gal Gadot's face onto a porn star's. What frightened the online community is he did not seem to be a computer whizz, rather a Joe Bloggs using publicly available, Google-developed software. Shortly after Motherboard outed him, he created a subreddit which quickly amassed tens of thousands of subscribers. Another Reddit user pounced on this growing momentum by creating FakeApp, dubbed a "user-friendly" system which allows those with no computer knowledge to do exactly the same. FakeApp uses a "machine learning algorithm", a form of artificial intelligence, to create computer a generated version of someone's face.
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He made several convincing porn videos of celebrities—including Gal Gadot, Maisie Williams, and Taylor Swift—using a machine learning algorithm, his home computer, publicly available videos, and some spare time. Since we first wrote about deepfakes, the practice of producing AI-assisted fake porn has exploded. More people are creating fake celebrity porn using machine learning, and the results have become increasingly convincing. Another redditor even created an app specifically designed to allow users without a computer science background to create AI-assisted fake porn. All the tools one needs to make these videos are free, readily available, and accompanied with instructions that walk novices through the process. These are developments we and the experts we spoke to warned about in our original article. They have arrived with terrifying speed. Shortly after Motherboard published its story, deepfakes created a subreddit named after himself dedicated to his practice two months ago. In that short time, it has already amassed more than 15, subscribers.