Meta’s Torrented Porn Saga: AI Ambitions or Office Indiscretions?

Meta faces a $359 million lawsuit accusing it of torrenting over 2,000 adult films to train AI models, but the company insists downloads were for personal use by employees. The case highlights ethical and legal challenges in AI data practices, with potential implications for the industry.
Meta’s Torrented Porn Saga: AI Ambitions or Office Indiscretions?
Written by Sara Donnelly

In a bizarre twist at the intersection of artificial intelligence, copyright law, and corporate ethics, Meta Platforms Inc. finds itself embroiled in a lawsuit accusing the tech giant of pirating thousands of adult films via BitTorrent to fuel its AI training efforts. The complaint, filed by adult entertainment companies Strike 3 Holdings and Blacked Raw, alleges that Meta’s corporate IP addresses were used to download and seed over 2,396 copyrighted adult videos between 2018 and 2024. According to the suit, this activity coincided with Meta’s aggressive push into generative AI models like Llama and the newly unveiled Movie Gen.

Meta, however, vehemently denies any connection to AI development. In a motion to dismiss filed in U.S. District Court in California, the company argues that the downloads were likely the result of ‘disparate individuals’ accessing adult content for personal use through its corporate networks. ‘Meta does not train its AI models on adult content,’ the filing states, emphasizing that its AI systems are designed to prohibit the generation of explicit material.

The case highlights broader tensions in the AI industry, where companies scramble for vast datasets while navigating legal minefields around copyrighted material. Strike 3, known for aggressively pursuing torrent-based infringements, claims damages could exceed $359 million if willful infringement is proven.

The Lawsuit’s Origins and Allegations

Strike 3 Holdings, a prolific filer of copyright lawsuits against alleged pirates, initiated the action in July 2024, later joined by Blacked Raw. The plaintiffs tracked BitTorrent activity linked to Meta’s IP addresses, documenting downloads of titles like ‘Blacked Raw V68’ and others from their catalogs. As reported by WIRED, the suit posits that Meta used this material to train AI models capable of generating video content, potentially including an unannounced adult-oriented version.

Meta’s defense hinges on the impracticality of the claims. The company points out that the torrents in question represent a minuscule fraction of the data needed for AI training—far less than the trillions of tokens used in models like Llama 3.1. Furthermore, Meta’s filing notes that its corporate networks, including guest Wi-Fi at campuses, are accessible to thousands of employees, contractors, and visitors, making individual monitoring challenging.

Industry observers note parallels to other AI copyright battles, such as those involving OpenAI and Stability AI. According to Ars Technica, Meta’s response echoes classic BitTorrent defenses, where defendants attribute downloads to unauthorized users on shared networks.

Meta’s AI Strategy Under Scrutiny

Meta has invested billions in AI, with CEO Mark Zuckerberg positioning it as key to achieving ‘superintelligence.’ The company’s open-source Llama models and tools like Movie Gen, which generates videos from text prompts, rely on massive datasets scraped from the web. However, Meta insists its training data excludes adult content, citing ethical guidelines and filters that block explicit outputs.

The timing of the alleged downloads—peaking during the development of Llama 2 and 3—fuels suspicion. Posts on X (formerly Twitter) from users like Pirat_Nation highlight public skepticism, with one viral post stating, ‘Meta Claims Up To 2396 Pirated Adult Film Downloads From It’s Corporate Network Were For “Personal Use,” Not AI Training.’ This sentiment underscores growing concerns over AI companies’ data practices.

Legal experts quoted in TorrentFreak suggest the case could hinge on whether plaintiffs can prove Meta’s direct involvement in using the material for AI. Meta argues the lawsuit is based on ‘guesswork,’ lacking evidence of data integration into training pipelines.

Broader Implications for Copyright and AI

The dispute arrives amid a wave of lawsuits challenging AI training methods. In 2023, authors sued OpenAI for using their books without permission, while Getty Images targeted Stability AI over image scraping. As per Vice, Strike 3’s suit claims Meta’s actions constitute ‘massive infringement’ to gain a competitive edge in AI video generation.

Meta’s motion to dismiss, filed in October 2024, seeks to quash the case early, arguing insufficient evidence and jurisdictional issues. The company also highlights its policy against adult content in AI, noting that Movie Gen is programmed to reject explicit prompts.

Recent news from TechSpot reports Meta’s denial that any downloads were company-sanctioned, attributing them to personal activities by employees or visitors. This defense raises questions about corporate liability for employee internet use on company networks.

Industry Reactions and Ethical Debates

Tech insiders are divided. Some view the allegations as a stretch, given the scale of AI datasets, while others see it as symptomatic of unchecked data hunger. A post on X by user mmnjug humorously notes, ‘2 adult entertainment companies filed a $359M lawsuit against Meta claiming the company downloaded thousands of porn videos to train their AI but Meta now says the videos were for personal use… .’

Ethical concerns extend to AI’s potential misuse in generating deepfakes or non-consensual content. As detailed in The Times of India, Meta urged dismissal, criticizing the suit as baseless and emphasizing its AI safeguards.

The case could set precedents for how courts view indirect evidence in AI copyright claims. According to PC Gamer, Meta’s ‘personal use’ argument might resonate, given the decentralized nature of corporate networks.

Potential Outcomes and Future Ramifications

If the lawsuit proceeds, discovery could reveal more about Meta’s data sourcing practices, potentially exposing vulnerabilities in AI development. Analysts predict settlements are common in such cases, but a trial might illuminate the opaque world of AI training data.

Meta’s stock has remained resilient, but reputational risks loom. Public discourse on X reflects amusement mixed with outrage, with users like sudox quipping, ‘LOL. “That 100TB of pr0n I downloaded is for personal use!”‘

As AI evolves, regulators may impose stricter data guidelines. For now, this case underscores the Wild West of AI training, where innovation clashes with intellectual property rights, per reports from India Today.

Evolving Legal Landscape in Tech

Looking ahead, similar suits could proliferate as content creators leverage tracking tools to monitor AI firms. Meta’s defense may inspire others facing scrutiny, emphasizing network access over corporate intent.

In the end, this controversy reveals the high stakes of AI’s data race, balancing technological advancement with legal accountability.

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