"All work and no play makes Jim a dull boy."

Another top-shelf deepfake from Ctrl Shift Face.

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An entire genre of Saturday Night Live-style skit humor--what if celebrity x were absurdly cast in role y?--is made obsolete by deepfakery. Read the rest

"When a Starbucks cup is the smallest mistake, you know you've fucked up." Read the rest

Another incredible deepfake execution. Ctrl Shift Face reports that his videos are demonetized due to ContentID claims by the original filmmakers: "Since I cannot monetize any my videos on youtube because of copyright claims, please consider supporting me on patreon. You'll gain access to a ton of exclusive content and also help this channel to survive. Thank you."

A particularly uncanny thing about how deepfake works is that it isn't the 1992 Stallone you might expect to see, but an ageless metastallone comprising elements of every age of Stallone.

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"Might delete later," adds The Fakening, creator of the abomination.

Previously: Elon Musk but with Elizabeth Holmes' eyes. Read the rest

As Theresa May continues to pilot the United Kingdom toward a catastrophic, epochal collision with the Brexit iceberg -- even as her ministers are busy slashing every available lifeboat -- Politics Joe have released a flat-out brilliant video casting the PM and her Minister for Ghastly Cosplay Jacob Rees-Mogg (that is, "Snoop Mogg") as the stars of a very Brexit version of Straight Outta Compton. Read the rest

"Who's to say that dreams and nightmares aren't as real as the here and now?” ― John Lennon Read the rest

The Dalí Museum in St. Petersburg, Florida has reanimated Salvador Dalí as a deepfake video experience. The "Dalí Lives" video installation opens in April on screens throughout the galleries.

As Dali once said, “[I] believe in general death but in the death of Dalí absolutely not. [I] believe in my death becoming almost impossible.”

From a press release:

The Museum began this immersive project by collecting and sharing hundreds of interviews, quotes, and existing archival footage from the prolific artist. GS&P used these extensive materials to train an AI algorithm to “learn” aspects of Dali’s face, then looked for an actor with the same general physical characteristics of Dali’s body. The AI then generates a version of Dali’s likeness to match the actor’s face and expressions. To educate visitors while engaging with “Dali Lives,” the Museum used authentic writings from Dali himself – coupled with dynamic present-day messages – reenacted by the actor.

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On Motherboard, Brian Merchant's (previously) new science fiction story The Convoy poses an eerily plausible future for political deepfake hoaxing -- with James O'Keefe-alikes running the show -- that skillfully weaves in elements of the Innocence of Muslims hoax with the current state-of-the-art in high-tech fakery. Read the rest

SIGGRAPH is coming, when all the amazeballs graphics research drops, and the previews are terrifying and astonishing by turns (sometimes both!). Read the rest

Begun, the deepfake wars have.

As usage grows of FakeApp -- the software that makes it comparatively easy to create "deepfaked" face-swapped videos -- a couple of researchers have decided to fight fire with fire. So they trained a deep-learning neural net on tons of examples of deepfaked videos, and produced a model that's better than any previous automated technique at spotting hoaxery. (Their paper documenting the work is here.)

This is good, obviously, though as you might imagine the very techniques they're using here could themselves be employed to produce better deepfakes. Technology!

As MIT Tech Review reports ...

The results are impressive. XceptionNet clearly outperforms other techniques in spotting videos that have been manipulated, even when the videos have been compressed, which makes the task significantly harder. “We set a strong baseline of results for detecting a facial manipulation with modern deep-learning architectures,” say Rossler and co.

That should make it easier to spot forged videos as they are uploaded to the web. But the team is well aware of the cat-and-mouse nature of forgery detection: as soon as a new detection technique emerges, the race begins to find a way to fool it.

Rossler and co have a natural head start since they developed XceptionNet. So they use it to spot the telltale signs that a video has been manipulated and then use this information to refine the forgery, making it even harder to detect.

It turns out that this process improves the visual quality of the forgery but does not have much effect on XceptionNet’s ability to detect it.

Deepfakes -- videos with incredibly realistic faceswapping, created with machine learning techniques -- are creepy as hell, except when they're not (then they're a form of incredibly expressive creativity with implications for both storytelling and political speech). Read the rest

Reddit has shut down /r/deepfakes, the subreddit where people collaborate to produce incredibly disturbing faceswapped pornography that uses machine-learning to put the faces of famous people who aren't pornography performers onto the bodies of people having sex in pornographic videos. Read the rest

Deepfakes is the person credited with inventing faceswapped videos, the deeply NSFW subreddit mostly filled with faceswapped pornography starring famous non-porn performers, or generically, faceswapped videos, usually created with Fakeapp, a tool that vastly simplifies the creation of deepfakes. Read the rest