Zuckerberg deepfake video tests Facebook's rules
Can you tell this video is fake?
- A new deepfake video shows Mark Zuckerberg saying words he never spoke.
- The video was likely created in an attempt to challenge Facebook's policies on fake content.
- Facebook was recently criticized for not removing a video of House Speaker Nancy Pelosi that was doctored to make it seem like she was drunk.
A new deepfake video shows Facebook founder Mark Zuckerberg saying words he never spoke.
The video – posted to Instagram and created by artists Bill Posters and Daniel Howe with advertising company Canny – was based off of a real video of Zuckerberg from 2017. To create the deepfake, Canny trained a proprietary algorithm on a 21-second clip from the 2017 video, and also on a video of a voice actor reading a script. Visually, the result is convincing, even if the voice doesn't quite sound like Zuckerberg's.
"Imagine this for a second: One man, with total control of billions of people's stolen data, all their secrets, their lives, their futures," Zuckerberg's likeness says in the video, whose caption includes "#deepfake". "I owe it all to Spectre. Spectre showed me that whoever controls the data, controls the future."
(Spectre was an award-winning interactive art installation shown at the 2019 Sheffield Doc Fest in the United Kingdom.)
The video effectively tests Facebook's policy on removing misinformation from its platform. Facebook recently faced backlash for refusing to remove a video of House Speaker Nancy Pelosi that was slowed down to make it seem like she was drunk. Facebook said it down-ranked the video to make it appear less frequently on newsfeeds and flagged it as fake.
Instagram, which is owned by Facebook, said it'd treat the Zuckerberg deepfake like the Pelosi video. "If third-party fact checkers mark it as false, we will filter it from Instagram's recommendation surfaces like Explore and hashtag pages," Stephanie Otway, a spokeswoman for the company, told the New York Times.
The team behind the Zuckerberg deepfake also created one of Kim Kardashian.
Deepfake technology has existed for years, but recently it's become sophisticated enough to fool some unsuspecting viewers. In May, Samsung researchers published a video describing a new AI that can take a single image of a person's face and animate it convincingly. If you're concerned about people weaponizing this technology, you're not alone: The Defense Department is already developing tools that aim to automatically detect deepfakes. But these tools might never be totally effective.
"Theoretically, if you gave a [generative adversarial network, which builds deepfake technology] all the techniques we know to detect it, it could pass all of those techniques," David Gunning, the DARPA program manager in charge of the Defense Department project, told MIT Technology Review. "We don't know if there's a limit. It's unclear."
Even if we could detect deepfakes, some viewers might not be eager to differentiate between real and fake – especially in politics. For example, President Donald Trump recently tweeted an altered video of House Speaker Nancy Pelosi that was slowed down to make it seem as if she were drunk. The video remains on the president's Twitter account, despite reports confirming the video was altered, and it currently has more than 6 million views. It's unclear how many people know – or are willing to acknowledge – that it's fake content.
- Facebook lets deepfake video of Zuckerberg stay on Instagram: report ›
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What can 3D printing do for medicine? The "sky is the limit," says Northwell Health researcher Dr. Todd Goldstein.
- Medical professionals are currently using 3D printers to create prosthetics and patient-specific organ models that doctors can use to prepare for surgery.
- Eventually, scientists hope to print patient-specific organs that can be transplanted safely into the human body.
- Northwell Health, New York State's largest health care provider, is pioneering 3D printing in medicine in three key ways.
The controversial herbicide is everywhere, apparently.
- U.S. PIRG tested 20 beers and wines, including organics, and found Roundup's active ingredient in almost all of them.
- A jury on August 2018 awarded a non-Hodgkin's lymphoma victim $289 million in Roundup damages.
- Bayer/Monsanto says Roundup is totally safe. Others disagree.
The pizza giant Domino's partners with a Silicon Valley startup to start delivering pizza by robots.
- Domino's partnered with the Silicon Valley startup Nuro to have robot cars deliver pizza.
- The trial run will begin in Houston later this year.
- The robots will be half a regular car and will need to be unlocked by a PIN code.
Would you have to tip robots? You might be answering that question sooner than you think as Domino's is about to start using robots for delivering pizza. Later this year a fleet of self-driving robotic vehicles will be spreading the joy of pizza throughout the Houston area for the famous pizza manufacturer, using delivery cars made by the Silicon Valley startup Nuro.
The startup, founded by Google veterans, raised $940 million in February and has already been delivering groceries for Kroger around Houston. Partnering with the pizza juggernaut Domino's, which delivers close to 3 million pizzas a day, is another logical step for the expanding drone car business.
Kevin Vasconi of Domino's explained in a press release that they see these specially-designed robots as "a valuable partner in our autonomous vehicle journey," adding "The opportunity to bring our customers the choice of an unmanned delivery experience, and our operators an additional delivery solution during a busy store rush, is an important part of our autonomous vehicle testing."
How will they work exactly? Nuro explained in its own press release that this "opportunity to use Nuro's autonomous delivery" will be available for some of the customers who order online. Once they opt in, they'll be able to track the car via an app. When the vehicle gets to them, the customers will use a special PIN code to unlock the pizza compartment.
Nuro and its competitors Udelv and Robomart have been focusing specifically on developing such "last-mile product delivery" machines, reports Arstechnica. Their specially-made R1 vehicle is about half the size of a regular passenger car and doesn't offer any room for a driver. This makes it safer and lighter too, with less potential to cause harm in case of an accident. It also sticks to a fairly low speed of under 25 miles an hour and slams on the breaks at the first sign of trouble.
What also helps such robot cars is "geofencing" technology which confines them to a limited area surrounding the store.
For now, the cars are still tracked around the neighborhoods by human-driven vehicles, with monitors to make sure nothing goes haywire. But these "chase cars" should be phased out eventually, an important milestone in the evolution of your robot pizza drivers.
Check out how Nuro's vehicles work:
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