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Actor Jim Meskimen partnered with deepfake artist Sham00k to make his celebrity impressions a little more realistic. Meskimen and Sham00k shared the results in a YouTube video , and honestly, they're pretty remarkable. The video speaks to Meskimen's talent as an impressionist but also to the capability of deepfake software. It proves how well the tech is able to blur the line between what's real and what isn't. Though, it still takes a ton of work. According to Sham00k, the full video took just over hours of work, 1, hours of footage, , images and close to one terabyte of data to create.
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The most convincing deepfake examples show us how deep learning technology could transform pipelines for filmmakers and 3D artists and greatly reduce manual editing time. Here, we look at nine landmarks in the rise of deepfakes. But first, a bit more info on what deepfakes actually are. Deepfakes are so-named because they use deep learning technology, a branch of machine learning that applies neural net simulation to massive data sets, to create a fake. Artificial intelligence effectively learns what a source face looks like at different angles in order to transpose the face onto a target, usually an actor, as if it were a mask. Huge advances came through the application of generative adversarial networks GANS to pit two AI algorithms against each other, one creating the fakes and the other grading its efforts, teaching the synthesis engine to make better forgeries. Simple software tools such as FakeApp and DeepFaceLab have since made a comparable effect available to all. The technology offers interesting possibilities that range from dubbing, improving and repairing video to solving the uncanny valley effect in video games, avoiding actors having to repeat fluffed line, the creation of apps that allow us to try on clothes or hairstyles, and even to train doctors, but many fear it being used for nefarious ends. These are the fakes that have scared and amused people the most so far. While some deepfakes try to fool the viewer, Better Call Trump: Money Laundering is a straight up parody.
Instantly, my pulse quickened. Who was this? How did they get my email address? What was a deepfake? As panic began to set in, I Googled the term and watched, horrified, as clips of celebrities in pornographic videos flooded the screen. The videos were phoney, but hugely convincing. And then, the implications of the email began to penetrate. I took a deep breath. For the next few minutes, I was conscious of nothing except the dryness of my mouth and heavy thud, thud, thud of my heart. Before long, a reply.