We Feared Deepfakes. Then Tech Monetized Them.

TikTok and Snap are experimenting with deepfake-style filters

Dave Gershgorn
OneZero

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Image: Snap

DDeepfakes were going to be artificial intelligence’s first great scourge. According to journalists and experts in the last two years, the technology that automatically stitched and animated one person’s likeness onto another person’s body would be used by malicious actors to create torrents of fictitious speeches from world leaders and public figures.

But it seems like that was mostly wrong. Certainly, individuals have been hurt by deepfakes: In 2019, a report emerged that more than half of deepfake videos online were related to porn, targeting the women that the algorithms were originally designed to emulate and harass. But the tech has not (yet) shook the very meaning of truth online.

Instead, tech companies are starting to cash in on the technology that powers deepfakes. Last month, Snap bought a San Francisco-based startup for a reported $166 million. AI Factory had previously partnered with Snapchat to capture 3D models of user's faces and plaster them onto about 150 scenes in a feature called “Cameo.”

The images produced by Cameos were slightly cartoony, meaning that the digital avatar looked a little bit more like a Bitmoji than the user’s real face. But the effect was essentially…

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Dave Gershgorn
OneZero

Senior Writer at OneZero covering surveillance, facial recognition, DIY tech, and artificial intelligence. Previously: Qz, PopSci, and NYTimes.