Meta Movie Gen

meta-denies-torrenting-porn-to-train-ai,-says-downloads-were-for-“personal-use”

Meta denies torrenting porn to train AI, says downloads were for “personal use”

Instead, Meta argued, available evidence “is plainly indicative” that the flagged adult content was torrented for “private personal use”—since the small amount linked to Meta IP addresses and employees represented only “a few dozen titles per year intermittently obtained one file at a time.”

“The far more plausible inference to be drawn from such meager, uncoordinated activity is that disparate individuals downloaded adult videos for personal use,” Meta’s filing said.

For example, unlike lawsuits raised by book authors whose works are part of an enormous dataset used to train AI, the activity on Meta’s corporate IP addresses only amounted to about 22 downloads per year. That is nowhere near the “concerted effort to collect the massive datasets Plaintiffs allege are necessary for effective AI training,” Meta argued.

Further, that alleged activity can’t even reliably be linked to any Meta employee, Meta argued.

Strike 3 “does not identify any of the individuals who supposedly used these Meta IP addresses, allege that any were employed by Meta or had any role in AI training at Meta, or specify whether (and which) content allegedly downloaded was used to train any particular Meta model,” Meta wrote.

Meanwhile, “tens of thousands of employees,” as well as “innumerable contractors, visitors, and third parties access the Internet at Meta every day,” Meta argued. So while it’s “possible one or more Meta employees” downloaded Strike 3’s content over the last seven years, “it is just as possible” that a “guest, or freeloader,” or “contractor, or vendor, or repair person—or any combination of such persons—was responsible for that activity,” Meta suggested.

Other alleged activity included a claim that a Meta contractor was directed to download adult content at his father’s house, but those downloads, too, “are plainly indicative of personal consumption,” Meta argued. That contractor worked as an “automation engineer,” Meta noted, with no apparent basis provided for why he would be expected to source AI training data in that role. “No facts plausibly” tie “Meta to those downloads,” Meta claimed.

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Meta’s new “Movie Gen” AI system can deepfake video from a single photo

On Friday, Meta announced a preview of Movie Gen, a new suite of AI models designed to create and manipulate video, audio, and images, including creating a realistic video from a single photo of a person. The company claims the models outperform other video-synthesis models when evaluated by humans, pushing us closer to a future where anyone can synthesize a full video of any subject on demand.

The company does not yet have plans of when or how it will release these capabilities to the public, but Meta says Movie Gen is a tool that may allow people to “enhance their inherent creativity” rather than replace human artists and animators. The company envisions future applications such as easily creating and editing “day in the life” videos for social media platforms or generating personalized animated birthday greetings.

Movie Gen builds on Meta’s previous work in video synthesis, following 2022’s Make-A-Scene video generator and the Emu image-synthesis model. Using text prompts for guidance, this latest system can generate custom videos with sounds for the first time, edit and insert changes into existing videos, and transform images of people into realistic personalized videos.

An AI-generated video of a baby hippo swimming around, created with Meta Movie Gen.

Meta isn’t the only game in town when it comes to AI video synthesis. Google showed off a new model called “Veo” in May, and Meta says that in human preference tests, its Movie Gen outputs beat OpenAI’s Sora, Runway Gen-3, and Chinese video model Kling.

Movie Gen’s video-generation model can create 1080p high-definition videos up to 16 seconds long at 16 frames per second from text descriptions or an image input. Meta claims the model can handle complex concepts like object motion, subject-object interactions, and camera movements.

AI-generated video from Meta Movie Gen with the prompt: “A ghost in a white bedsheet faces a mirror. The ghost’s reflection can be seen in the mirror. The ghost is in a dusty attic, filled with old beams, cloth-covered furniture. The attic is reflected in the mirror. The light is cool and natural. The ghost dances in front of the mirror.”

Even so, as we’ve seen with previous AI video generators, Movie Gen’s ability to generate coherent scenes on a particular topic is likely dependent on the concepts found in the example videos that Meta used to train its video-synthesis model. It’s worth keeping in mind that cherry-picked results from video generators often differ dramatically from typical results and getting a coherent result may require lots of trial and error.

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