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neural porn

Many of the most magical pieces of consumer technology we have today are thanks to advances in neural networks and automobile learning. Nosotros already take impressive object recognition in photos and speech synthesis, and in a few years cars may drive themselves. Automobile learning has become so advanced that a handful of developers take created a tool called FakeApp that can create disarming "face up swap" videos. And of course, they're using information technology to make porn. Well, this is the internet, so no surprise there.

FakeApp is based on work done on a deep learning algorithm by a Reddit user known equally Deepfakes. The tool is available for download and mirrored all over the internet, but setup is non-trivial. You need to download and configure Nvidia's CUDA framework to run the TensorFlow code, and so the app requires a GeForce GPU. If you don't have a powerful GPU, good luck finding i for a reasonable price. The video you're looking to modify also needs to exist separate into private frames, and y'all need a significant number of photos to train FakeApp on the face you desire inserted.

The cease consequence is a video with the original face replaced by a new one. The quality of the face swap varies based on how the neural network was trained — some are footling more than face-shaped blobs, but others are extremely, almost worryingly, convincing. See below for a recreation of the CGI Princess Leia from Rogue One made in FakeApp. The superlative image is from the moving picture and the lesser was made in FakeApp in about 20 minutes, according to the poster. There's no denying the "real" version is better, but the fake one is impressive when you consider how it was made.

The first impulse for those with the time and inclination to get FakeApp working was to create porn with their favorite glory swapped in for the bodily performer. We won't link to whatever of those, but suffice it to say a great deal of this content has appeared in the two weeks or so FakeApp has been available. Some are already coming out strongly against the use of this engineering to make simulated porn, only the users of FakeApp claim it's not any more dissentious than fake all the same images that have been created in Photoshop for decades.

The real power, and potential danger, of this engineering isn't the porn. What if a future version of this technique is so powerful it becomes duplicate from real footage? All the face swaps from FakeApp have at to the lowest degree a footling distortion or flicker, merely this is just a plan adult past a few people on Reddit. With more resources, neural networks might be capable of some wild stuff.