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meta’s-“ai-superintelligence”-effort-sounds-just-like-its-failed-“metaverse”

Meta’s “AI superintelligence” effort sounds just like its failed “metaverse”


Zuckerberg and company talked up another supposed tech revolution four short years ago.

Artist’s conception of Mark Zuckerberg looking into our glorious AI-powered future. Credit: Facebook

In a memo to employees earlier this week, Meta CEO Mark Zuckerberg shared a vision for a near-future in which “personal [AI] superintelligence for everyone” forms “the beginning of a new era for humanity.” The newly formed Meta Superintelligence Labs—freshly staffed with multiple high-level acquisitions from OpenAI and other AI companies—will spearhead the development of “our next generation of models to get to the frontier in the next year or so,” Zuckerberg wrote.

Reading that memo, I couldn’t help but think of another “vision for the future” Zuckerberg shared not that long ago. At his 2021 Facebook Connect keynote, Zuckerberg laid out his plan for the metaverse, a virtual place where “you’re gonna be able to do almost anything you can imagine” and which would form the basis of “the next version of the Internet.”

“The future of the Internet” of the recent past.

“The future of the Internet” of the recent past. Credit: Meta

Zuckerberg believed in that vision so much at the time that he abandoned the well-known Facebook corporate brand in favor of the new name “Meta.” “I’m going to keep pushing and giving everything I’ve got to make this happen now,” Zuckerberg said at the time. Less than four years later, Zuckerberg seems to now be “giving everything [he’s] got” for a vision of AI “superintelligence,” reportedly offering pay packages of up to $300 million over four years to attract top talent from other AI companies (Meta has since denied those reports, saying, “The size and structure of these compensation packages have been misrepresented all over the place”).

Once again, Zuckerberg is promising that this new technology will revolutionize our lives and replace the ways we currently socialize and work on the Internet. But the utter failure (so far) of those over-the-top promises for the metaverse has us more than a little skeptical of how impactful Zuckerberg’s vision of “personal superintelligence for everyone” will truly be.

Meta-vision

Looking back at Zuckerberg’s 2021 Facebook Connect keynote shows just how hard the company was selling the promise of the metaverse at the time. Zuckerberg said the metaverse would represent an “even more immersive and embodied Internet” where “everything we do online today—connecting socially, entertainment, games, work—is going to be more natural and vivid.”

Mark Zuckerberg lays out his vision for the metaverse in 2021.

“Teleporting around the metaverse is going to be like clicking a link on the Internet,” Zuckerberg promised, and metaverse users would probably switch between “a photorealistic avatar for work, a stylized one for hanging out, and maybe even a fantasy one for gaming.” This kind of personalization would lead to “hundreds of thousands” of artists being able to make a living selling virtual metaverse goods that could be embedded in virtual or real-world environments.

“Lots of things that are physical today, like screens, will just be able to be holograms in the future,” Zuckerberg promised. “You won’t need a physical TV; it’ll just be a one-dollar hologram from some high school kid halfway across the world… we’ll be able to express ourselves in new joyful, completely immersive ways, and that’s going to unlock a lot of amazing new experiences.”

A pre-rendered concept video showed metaverse users playing poker in a zero-gravity space station with robot avatars, then pausing briefly to appreciate some animated 3D art a friend had encountered on the street. Another video showed a young woman teleporting via metaverse avatar to virtually join a friend attending a live concert in Tokyo, then buying virtual merch from the concert at a metaverse afterparty from the comfort of her home. Yet another showed old men playing chess on a park bench, even though one of the players was sitting across the country.

Meta-failure

Fast forward to 2025, and the current reality of Zuckerberg’s metaverse efforts bears almost no resemblance to anything shown or discussed back in 2021. Even enthusiasts describe Meta’s Horizon Worlds as a “depressing” and “lonely” experience characterized by “completely empty” venues. And Meta engineers anonymously gripe about metaverse tools that even employees actively avoid using and a messy codebase that was treated like “a 3D version of a mobile app. “

screen sharing

Even Meta employees reportedly don’t want to work in Horizon Workrooms.

Even Meta employees reportedly don’t want to work in Horizon Workrooms. Credit: Facebook

The creation of a $50 million creator fund seems to have failed to encourage peeved creators to give the metaverse another chance. Things look a bit better if you expand your view past Meta’s own metaverse sandbox; the chaotic world of VR Chat attracts tens of thousands of daily users on Steam alone, for instance. Still, we’re a far cry from the replacement for the mobile Internet that Zuckerberg once trumpeted.

Then again, it’s possible that we just haven’t given Zuckerberg’s version of the metaverse enough time to develop. Back in 2021, he said that “a lot of this is going to be mainstream” within “the next five or 10 years.” That timeframe gives Meta at least a few more years to develop and release its long-teased, lightweight augmented reality glasses that the company showed off last year in the form of a prototype that reportedly still costs $10,000 per unit.

Zuckerberg shows off prototype AR glasses that could change the way we think about “the metaverse.” Credit: Bloomberg / Contributor | Bloomberg

Maybe those glasses will ignite widespread interest in the metaverse in a way that Meta’s bulky, niche VR goggles have utterly failed to. Regardless, after nearly four years and roughly $60 billion in VR-related losses, Meta thus far has surprisingly little to show for its massive investment in Zuckerberg’s metaverse vision.

Our AI future?

When I hear Zuckerberg talk about the promise of AI these days, it’s hard not to hear echoes of his monumental vision for the metaverse from 2021. If anything, Zuckerberg’s vision of our AI-powered future is even more grandiose than his view of the metaverse.

As with the metaverse, Zuckerberg now sees AI forming a replacement for the current version of the Internet. “Do you think in five years we’re just going to be sitting in our feed and consuming media that’s just video?” Zuckerberg asked rhetorically in an April interview with Drawkesh Patel. “No, it’s going to be interactive,” he continued, envisioning something like Instagram Reels, but “you can talk to it, or interact with it, and it talks back, or it changes what it’s doing. Or you can jump into it like a game and interact with it. That’s all going to be AI.”

Mark Zuckerberg talks about all the ways superhuman AI is going to change our lives in the near future.

As with the Metaverse, Zuckerberg sees AI as revolutionizing the way we interact with each other. He envisions “always-on video chats with the AI” incorporating expressions and body language borrowed from the company’s work on the metaverse. And our relationships with AI models are “just going to get more intense as these AIs become more unique, more personable, more intelligent, more spontaneous, more funny, and so forth,” Zuckerberg said. “As the personalization loop kicks in and the AI starts to get to know you better and better, that will just be really compelling.”

Zuckerberg did allow that relationships with AI would “probably not” replace in-person connections, because there are “things that are better about physical connections when you can have them.” At the same time, he said, for the average American who has three friends, AI relationships can fill the “demand” for “something like 15 friends” without the effort of real-world socializing. “People just don’t have as much connection as they want,” Zuckerberg said. “They feel more alone a lot of the time than they would like.”

A toy robot saying

Why chat with real friends on Facebook when you can chat with AI avatars?

Credit: Benj Edwards / Getty Images

Why chat with real friends on Facebook when you can chat with AI avatars? Credit: Benj Edwards / Getty Images

Zuckerberg also sees AI leading to a flourishing of human productivity and creativity in a way even his wildest metaverse imaginings couldn’t match. Zuckerberg said that AI advancement could “lead toward a world of abundance where everyone has these superhuman tools to create whatever they want.” That means personal access to “a super powerful [virtual] software engineer” and AIs that are “solving diseases, advancing science, developing new technology that makes our lives better.”

That will also mean that some companies will be able to get by with fewer employees before too long, Zuckerberg said. In customer service, for instance, “as AI gets better, you’re going to get to a place where AI can handle a bunch of people’s issues,” he said. “Not all of them—maybe 10 years from now it can handle all of them—but thinking about a three- to five-year time horizon, it will be able to handle a bunch.“

In the longer term, Zuckerberg said, AIs will be integrated into our more casual pursuits as well. “If everyone has these superhuman tools to create a ton of different stuff, you’re going to get incredible diversity,” and “the amount of creativity that’s going to be unlocked is going to be massive,” he said. “I would guess the world is going to get a lot funnier, weirder, and quirkier, the way that memes on the Internet have gotten over the last 10 years.”

Compare and contrast

To be sure, there are some important differences between the past promise of the metaverse and the current promise of AI technology. Zuckerberg claims that a billion people use Meta’s AI products monthly, for instance, utterly dwarfing the highest estimates for regular use of “the metaverse” or augmented reality as a whole (even if many AI users seem to balk at paying for regular use of AI tools). Meta coders are also reportedly already using AI coding tools regularly in a way they never did with Meta’s metaverse tools. And people are already developing what they consider meaningful relationships with AI personas, whether that’s in the form of therapists or romantic partners.

Still, there are reasons to be skeptical about the future of AI when current models still routinely hallucinate basic facts, show fundamental issues when attempting reasoning, and struggle with basic tasks like beating a children’s video game. The path from where we are to a supposed “superhuman” AI is not simple or inevitable, despite the handwaving of industry boosters like Zuckerberg.

Artist’s conception of Carmack’s VR avatar waving goodbye to Meta.

Artist’s conception of Carmack’s VR avatar waving goodbye to Meta.

At the 2021 rollout of Meta’s push to develop a metaverse, high-ranking Meta executives like John Carmack were at least up front about the technical and product-development barriers that could get in the way of Zuckerberg’s vision. “Everybody that wants to work on the metaverse talks about the limitless possibilities of it,” Carmack said at the time (before departing the company in late 2022). “But it’s not limitless. It is a challenge to fit things in, but you can make smarter decisions about exactly what is important and then really optimize the heck out of things.”

Today, those kinds of voices of internal skepticism seem in short supply as Meta sets itself up to push AI in the same way it once backed the metaverse. Don’t be surprised, though, if today’s promise that we’re at “the beginning of a new era for humanity” ages about as well as Meta’s former promises about a metaverse where “you’re gonna be able to do almost anything you can imagine.”

Photo of Kyle Orland

Kyle Orland has been the Senior Gaming Editor at Ars Technica since 2012, writing primarily about the business, tech, and culture behind video games. He has journalism and computer science degrees from University of Maryland. He once wrote a whole book about Minesweeper.

Meta’s “AI superintelligence” effort sounds just like its failed “metaverse” Read More »

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Meta, TikTok can’t toss wrongful death suit from mom of “subway surfing” teen

Section 230 has so far failed to shield Meta and TikTok owner ByteDance from a lawsuit raised by a mother who alleged that her son’s wrongful death followed a flood of “subway surfing” videos platforms intentionally targeted to teens in New York.

In a decision Monday, New York State Supreme Court Judge Paul Goetz largely denied social media companies’ motions to dismiss claims they argued should be barred under Section 230 and the First Amendment. Goetz said that the mother, Norma Nazario, had adequately alleged that subway surfing content “was purposefully fed” to her son Zackery “because of his age” and “not because of any user inputs that indicated he was interested in seeing such content.”

Unlike other Section 230 cases in which platforms’ algorithms were determined to be content-neutral, Goetz wrote that in this case, “it is plausible that the social media defendants’ role exceeded that of neutral assistance in promoting content and constituted active identification of users who would be most impacted by the content.”

Platforms may be forced to demystify algorithms

Moving forward, Nazario will have a chance to seek discovery that could show exactly how Zackery came to interact with the subway surfing content. In her complaint, she did not ask for the removal of all subway surfing content but rather wants to see platforms held accountable for allegedly dangerous design choices that supposedly target unwitting teens.

“Social media defendants should not be permitted to actively target young users of its applications with dangerous ‘challenges’ before the user gives any indication that they are specifically interested in such content and without warning,” Nazario has argued.

And if she’s proven right, that means platforms won’t be forced to censor any content but must instead update algorithms to stop sending “dangerous” challenges to keep teens engaged at a time when they’re more likely to make reckless decisions, Goetz suggested.

Meta, TikTok can’t toss wrongful death suit from mom of “subway surfing” teen Read More »

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Judge: Pirate libraries may have profited from Meta torrenting 80TB of books

It could certainly look worse for Meta if authors manage to present evidence supporting the second way that torrenting could be relevant to the case, Chhabaria suggested.

“Meta downloading copyrighted material from shadow libraries” would also be relevant to the character of the use, “if it benefitted those who created the libraries and thus supported and perpetuated their unauthorized copying and distribution of copyrighted works,” Chhabria wrote.

Counting potential strikes against Meta, Chhabria pointed out that the “vast majority of cases” involving “this sort of peer-to-peer file-sharing” are found to “constitute copyright infringement.” And it likely doesn’t help Meta’s case that “some of the libraries Meta used have themselves been found liable for infringement.”

However, Meta may overcome this argument, too, since book authors “have not submitted any evidence” that potentially shows how Meta’s downloading may perhaps be “propping up” or financially benefiting pirate libraries.

Finally, Chhabria noted that the “last issue relating to the character of Meta’s use” of books in regards to its torrenting is “the relationship between Meta’s downloading of the plaintiffs’ books and Meta’s use of the books to train Llama.”

Authors had tried to argue that these elements were distinct. But Chhabria said there’s no separating the fact that Meta downloaded the books to serve the “highly transformative” purpose of training Llama.

“Because Meta’s ultimate use of the plaintiffs’ books was transformative, so too was Meta’s downloading of those books,” Chhabria wrote.

AI training rulings may get more authors paid

Authors only learned of Meta’s torrenting through discovery in the lawsuit, and because of that, Chhabria noted that “the record on Meta’s alleged distribution is incomplete.”

It’s possible that authors may be able to show evidence that Meta “contributed to the BitTorrent network” by providing significant computing power that could’ve meaningfully assisted shadow libraries, Chhabria said in a footnote.

Judge: Pirate libraries may have profited from Meta torrenting 80TB of books Read More »

to-avoid-admitting-ignorance,-meta-ai-says-man’s-number-is-a-company-helpline

To avoid admitting ignorance, Meta AI says man’s number is a company helpline

Although that statement may provide comfort to those who have kept their WhatsApp numbers off the Internet, it doesn’t resolve the issue of WhatsApp’s AI helper potentially randomly generating a real person’s private number that may be a few digits off from the business contact information WhatsApp users are seeking.

Expert pushes for chatbot design tweaks

AI companies have recently been grappling with the problem of chatbots being programmed to tell users what they want to hear, instead of providing accurate information. Not only are users sick of “overly flattering” chatbot responses—potentially reinforcing users’ poor decisions—but the chatbots could be inducing users to share more private information than they would otherwise.

The latter could make it easier for AI companies to monetize the interactions, gathering private data to target advertising, which could deter AI companies from solving the sycophantic chatbot problem. Developers for Meta rival OpenAI, The Guardian noted, last month shared examples of “systemic deception behavior masked as helpfulness” and chatbots’ tendency to tell little white lies to mask incompetence.

“When pushed hard—under pressure, deadlines, expectations—it will often say whatever it needs to to appear competent,” developers noted.

Mike Stanhope, the managing director of strategic data consultants Carruthers and Jackson, told The Guardian that Meta should be more transparent about the design of its AI so that users can know if the chatbot is designed to rely on deception to reduce user friction.

“If the engineers at Meta are designing ‘white lie’ tendencies into their AI, the public need to be informed, even if the intention of the feature is to minimize harm,” Stanhope said. “If this behavior is novel, uncommon, or not explicitly designed, this raises even more questions around what safeguards are in place and just how predictable we can force an AI’s behavior to be.”

To avoid admitting ignorance, Meta AI says man’s number is a company helpline Read More »

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Meta beefs up disappointing AI division with $15 billion Scale AI investment

Meta has invested heavily in generative AI, with the majority of its planned $72 billion in capital expenditure this year earmarked for data centers and servers. The deal underlines the high price AI companies are willing to pay for data that can be used to train AI models.

Zuckerberg pledged last year that his company’s models would outstrip rivals’ efforts in 2025, but Meta’s most recent release, Llama 4, has underperformed on various independent reasoning and coding benchmarks.

The long-term goal of researchers at Meta “has always been to reach human intelligence and go beyond it,” said Yann LeCun, the company’s chief AI scientist at the VivaTech conference in Paris this week.

Building artificial “general” intelligence—AI technologies that have human-level intelligence—is a popular goal for many AI companies. An increasing number of Silicon Valley groups are also seeking to reach “superintelligence,” a hypothetical scenario where AI systems surpass human intelligence.

The core of Scale’s business has been data-labeling, a manual process of ensuring images and text are accurately labeled and categorized before they are used to train AI models.

Wang has forged relationships with Silicon Valley’s biggest investors and technologists, including OpenAI’s Sam Altman. Scale AI’s early customers were autonomous vehicle companies, but the bulk of its expected $2 billion in revenues this year will come from labeling the data used to train the massive AI models built by OpenAI and others.

The deal will result in a substantial payday for Scale’s early venture capital investors, including Accel, Tiger Global Management, and Index Ventures. Tiger’s $200 million investment is worth more than $1 billion at the company’s new valuation, according to a person with knowledge of the matter.

Additional reporting by Tabby Kinder in San Francisco

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After AI setbacks, Meta bets billions on undefined “superintelligence”

Meta has developed plans to create a new artificial intelligence research lab dedicated to pursuing “superintelligence,” according to reporting from The New York Times. The social media giant chose 28-year-old Alexandr Wang, founder and CEO of Scale AI, to join the new lab as part of a broader reorganization of Meta’s AI efforts under CEO Mark Zuckerberg.

Superintelligence refers to a hypothetical AI system that would exceed human cognitive abilities—a step beyond artificial general intelligence (AGI), which aims to match an intelligent human’s capability for learning new tasks without intensive specialized training.

However, much like AGI, superintelligence remains a nebulous term in the field. Since scientists still poorly understand the mechanics of human intelligence, and because human intelligence resists simple quantification with no single definition, identifying superintelligence when it arrives will present significant challenges.

Computers already far surpass humans in certain forms of information processing such as calculations, but this narrow superiority doesn’t qualify as superintelligence under most definitions. The pursuit assumes we’ll recognize it when we see it, despite the conceptual fuzziness.

Illustration of studious robot reading a book

AI researcher Dr. Margaret Mitchell told Ars Technica in April 2024 that there will “likely never be agreement on comparisons between human and machine intelligence” but predicted that “men in positions of power and influence, particularly ones with investments in AI, will declare that AI is smarter than humans” regardless of the reality.

The new lab represents Meta’s effort to remain competitive in the increasingly crowded AI race, where tech giants continue pouring billions into research and talent acquisition. Meta has reportedly offered compensation packages worth seven to nine figures to dozens of researchers from companies like OpenAI and Google, according to The New York Times, with some already agreeing to join the company.

Meta joins a growing list of tech giants making bold claims about advanced AI development. In January, OpenAI CEO Sam Altman wrote in a blog post that “we are now confident we know how to build AGI as we have traditionally understood it.” Earlier, in September 2024, Altman predicted that the AI industry might develop superintelligence “in a few thousand days.” Elon Musk made an even more aggressive prediction in April 2024, saying that AI would be “smarter than the smartest human” by “next year, within two years.”

After AI setbacks, Meta bets billions on undefined “superintelligence” Read More »

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Threat of Meta breakup looms as FTC’s monopoly trial ends

“Meta is a proud American success story, and we look forward to continuing to innovate and serve the people and businesses who love our services,” Meta’s spokesperson said.

Experts aren’t so sure Meta has clinched it

Boasberg has said that the key question he must answer is whether the FTC’s market definition is too narrow.

Arguing against the market definition, Meta has said that connecting friends and family isn’t even Meta apps’ “core use” anymore, as an evolving competitive social media landscape has forced Meta to turn its newsfeeds into discovery engines to rival TikTok. Justin Teresi, an antitrust analyst, told Bloomberg that because the FTC failed to show that users primarily come to Meta apps to connect with friends and family, it may have strengthened Meta’s case.

Rebecca Allensworth, a Vanderbilt law professor and antitrust expert, told Bloomberg that the “FTC’s narrowly defined market was always the weakest part of its case,” but the government “has done a nice job of minimizing that weakness” by showing that apps that don’t connect friends and family aren’t adequate substitutes for Meta’s apps.

“This was evident when Meta saw spikes in usage on holidays,” Allensworth suggested, which is perhaps “a sign people were turning to its products to connect with loved ones.”

Teresi thinks Meta has a 60 percent shot at winning the trial, although he criticized Meta’s seeming defense that any company competing for online ad dollars competes with Meta. That argument may have broadened the market definition too much, he suggested.

“If you’re saying that the relevant market here is competing for advertising dollars, then you could throw anything in there,” Teresi said. “You could throw TV in there, you could throw print in there if you wanted to, and there’s really no end to that concept.”

Allensworth was less confident in Meta’s chances, telling Bloomberg, “I really actually think this could go either way.”

Threat of Meta breakup looms as FTC’s monopoly trial ends Read More »

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Musk’s DOGE used Meta’s Llama 2—not Grok—for gov’t slashing, report says

Why didn’t DOGE use Grok?

It seems that Grok, Musk’s AI model, wasn’t available for DOGE’s task because it was only available as a proprietary model in January. Moving forward, DOGE may rely more frequently on Grok, Wired reported, as Microsoft announced it would start hosting xAI’s Grok 3 models in its Azure AI Foundry this week, The Verge reported, which opens the models up for more uses.

In their letter, lawmakers urged Vought to investigate Musk’s conflicts of interest, while warning of potential data breaches and declaring that AI, as DOGE had used it, was not ready for government.

“Without proper protections, feeding sensitive data into an AI system puts it into the possession of a system’s operator—a massive breach of public and employee trust and an increase in cybersecurity risks surrounding that data,” lawmakers argued. “Generative AI models also frequently make errors and show significant biases—the technology simply is not ready for use in high-risk decision-making without proper vetting, transparency, oversight, and guardrails in place.”

Although Wired’s report seems to confirm that DOGE did not send sensitive data from the “Fork in the Road” emails to an external source, lawmakers want much more vetting of AI systems to deter “the risk of sharing personally identifiable or otherwise sensitive information with the AI model deployers.”

A seeming fear is that Musk may start using his own models more, benefiting from government data his competitors cannot access, while potentially putting that data at risk of a breach. They’re hoping that DOGE will be forced to unplug all its AI systems, but Vought seems more aligned with DOGE, writing in his AI guidance for federal use that “agencies must remove barriers to innovation and provide the best value for the taxpayer.”

“While we support the federal government integrating new, approved AI technologies that can improve efficiency or efficacy, we cannot sacrifice security, privacy, and appropriate use standards when interacting with federal data,” their letter said. “We also cannot condone use of AI systems, often known for hallucinations and bias, in decisions regarding termination of federal employment or federal funding without sufficient transparency and oversight of those models—the risk of losing talent and critical research because of flawed technology or flawed uses of such technology is simply too high.”

Musk’s DOGE used Meta’s Llama 2—not Grok—for gov’t slashing, report says Read More »

meta-hypes-ai-friends-as-social-media’s-future,-but-users-want-real-connections

Meta hypes AI friends as social media’s future, but users want real connections


Two visions for social media’s future pit real connections against AI friends.

A rotting zombie thumb up buzzing with flies while the real zombies are the people in the background who can't put their phones down

Credit: Aurich Lawson | Getty Images

Credit: Aurich Lawson | Getty Images

If you ask the man who has largely shaped how friends and family connect on social media over the past two decades about the future of social media, you may not get a straight answer.

At the Federal Trade Commission’s monopoly trial, Meta CEO Mark Zuckerberg attempted what seemed like an artful dodge to avoid criticism that his company allegedly bought out rivals Instagram and WhatsApp to lock users into Meta’s family of apps so they would never post about their personal lives anywhere else. He testified that people actually engage with social media less often these days to connect with loved ones, preferring instead to discover entertaining content on platforms to share in private messages with friends and family.

As Zuckerberg spins it, Meta no longer perceives much advantage in dominating the so-called personal social networking market where Facebook made its name and cemented what the FTC alleged is an illegal monopoly.

“Mark Zuckerberg says social media is over,” a New Yorker headline said about this testimony in a report noting a Meta chart that seemed to back up Zuckerberg’s words. That chart, shared at the trial, showed the “percent of time spent viewing content posted by ‘friends'” had declined over the past two years, from 22 to 17 percent on Facebook and from 11 to 7 percent on Instagram.

Supposedly because of this trend, Zuckerberg testified that “it doesn’t matter much” if someone’s friends are on their preferred platform. Every platform has its own value as a discovery engine, Zuckerberg suggested. And Meta platforms increasingly compete on this new playing field against rivals like TikTok, Meta argued, while insisting that it’s not so much focused on beating the FTC’s flagged rivals in the connecting-friends-and-family business, Snap and MeWe.

But while Zuckerberg claims that hosting that kind of content doesn’t move the needle much anymore, owning the biggest platforms that people use daily to connect with friends and family obviously still matters to Meta, MeWe founder Mark Weinstein told Ars. And Meta’s own press releases seem to back that up.

Weeks ahead of Zuckerberg’s testimony, Meta announced that it would bring back the “magic of friends,” introducing a “friends” tab to Facebook to make user experiences more like the original Facebook. The company intentionally diluted feeds with creator content and ads for the past two years, but it now appears intent on trying to spark more real conversations between friends and family, at least partly to fuel its newly launched AI chatbots.

Those chatbots mine personal information shared on Facebook and Instagram, and Meta wants to use that data to connect more personally with users—but “in a very creepy way,” The Washington Post wrote. In interviews, Zuckerberg has suggested these AI friends could “meaningfully” fill the void of real friendship online, as the average person has only three friends but “has demand” for up to 15. To critics seeking to undo Meta’s alleged monopoly, this latest move could signal a contradiction in Zuckerberg’s testimony, showing that the company is so invested in keeping users on its platforms that it’s now creating AI friends (wh0 can never leave its platform) to bait the loneliest among us into more engagement.

“The average person wants more connectivity, connection, than they have,” Zuckerberg said, hyping AI friends. For the Facebook founder, it must be hard to envision a future where his platforms aren’t the answer to providing that basic social need. All this comes more than a decade after he sought $5 billion in Facebook’s 2012 initial public offering so that he could keep building tools that he told investors would expand “people’s capacity to build and maintain relationships.”

At the trial, Zuckerberg testified that AI and augmented reality will be key fixtures of Meta’s platforms in the future, predicting that “several years from now, you are going to be scrolling through your feed, and not only is it going to be sort of animated, but it will be interactive.”

Meta declined to comment further on the company’s vision for social media’s future. In a statement, a Meta spokesperson told Ars that “the FTC’s lawsuit against Meta defies reality,” claiming that it threatens US leadership in AI and insisting that evidence at trial would establish that platforms like TikTok, YouTube, and X are Meta’s true rivals.

“More than 10 years after the FTC reviewed and cleared our acquisitions, the Commission’s action in this case sends the message that no deal is ever truly final,” Meta’s spokesperson said. “Regulators should be supporting American innovation rather than seeking to break up a great American company and further advantaging China on critical issues like AI.”

Meta faces calls to open up its platforms

Weinstein, the MeWe founder, told Ars that back in the 1990s when the original social media founders were planning the first community portals, “it was so beautiful because we didn’t think about bots and trolls. We didn’t think about data mining and surveillance capitalism. We thought about making the world a more connected and holistic place.”

But those who became social media overlords found more money in walled gardens and increasingly cut off attempts by outside developers to improve the biggest platforms’ functionality or leverage their platforms to compete for their users’ attention. Born of this era, Weinstein expects that Zuckerberg, and therefore Meta, will always cling to its friends-and-family roots, no matter which way Zuckerberg says the wind is blowing.

Meta “is still entirely based on personal social networking,” Weinstein told Ars.

In a Newsweek op-ed, Weinstein explained that he left MeWe in 2021 after “competition became impossible” with Meta. It was a time when MeWe faced backlash over lax content moderation, drawing comparisons between its service and right-wing apps like Gab or Parler. Weinstein rejected those comparisons, seeing his platform as an ideal Facebook rival and remaining a board member through the app’s more recent shift to decentralization. Still defending MeWe’s failed efforts to beat Facebook, he submitted hundreds of documents and was deposed in the monopoly trial, alleging that Meta retaliated against MeWe as a privacy-focused rival that sought to woo users away by branding itself the “anti-Facebook.”

Among his complaints, Weinstein accused Meta of thwarting MeWe’s attempts to introduce interoperability between the two platforms, which he thinks stems from a fear that users might leave Facebook if they discover a more appealing platform. That’s why he’s urged the FTC—if it wins its monopoly case—to go beyond simply ordering a potential breakup of Facebook, Instagram, and WhatsApp to also require interoperability between Meta’s platforms and all rivals. That may be the only way to force Meta to release its clutch on personal data collection, Weinstein suggested, and allow for more competition broadly in the social media industry.

“The glue that holds it all together is Facebook’s monopoly over data,” Weinstein wrote in a Wall Street Journal op-ed, recalling the moment he realized that Meta seemed to have an unbeatable monopoly. “Its ownership and control of the personal information of Facebook users and non-users alike is unmatched.”

Cory Doctorow, a special advisor to the Electronic Frontier Foundation, told Ars that his vision of a better social media future goes even further than requiring interoperability between all platforms. Social networks like Meta’s should also be made to allow reverse engineering so that outside developers can modify their apps with third-party tools without risking legal attacks, he said.

Doctorow said that solution would create “an equilibrium where companies are more incentivized to behave themselves than they are to cheat” by, say, retaliating against, killing off, or buying out rivals. And “if they fail to respond to that incentive and they cheat anyways, then the rest of the world still has a remedy,” Doctorow said, by having the choice to modify or ditch any platform deemed toxic, invasive, manipulative, or otherwise offensive.

Doctorow summed up the frustration that some users have faced through the ongoing “enshittification” of platforms (a term he coined) ever since platforms took over the Internet.

“I’m 55 now, and I’ve gotten a lot less interested in how things work because I’ve had too many experiences with how things fail,” Doctorow told Ars. “And I just want to make sure that if I’m on a service and it goes horribly wrong, I can leave.”

Social media haters wish OG platforms were doomed

Weinstein pointed out that Meta’s alleged monopoly impacts a group often left out of social media debates: non-users. And if you ask someone who hates social media what the future of social media should look like, they will not mince words: They want a way to opt out of all of it.

As Meta’s monopoly trial got underway, a personal blog post titled “No Instagram, no privacy” rose to the front page of Hacker News, prompting a discussion about social media norms and reasonable expectations for privacy in 2025.

In the post, Wouter-Jan Leys, a privacy advocate, explained that he felt “blessed” to have “somehow escaped having an Instagram account,” feeling no pressure to “update the abstract audience of everyone I ever connected with online on where I am, what I am doing, or who I am hanging out with.”

But despite never having an account, he’s found that “you don’t have to be on Instagram to be on Instagram,” complaining that “it bugs me” when friends seem to know “more about my life than I tell them” because of various friends’ posts that mention or show images of him. In his blog, he defined privacy as “being in control of what other people know about you” and suggested that because of platforms like Instagram, he currently lacked this control. There should be some way to “fix or regulate this,” Leys suggested, or maybe some universal “etiquette where it’s frowned upon to post about social gatherings to any audience beyond who already was at that gathering.”

On Hacker News, his post spurred a debate over one of the longest-running privacy questions swirling on social media: Is it OK to post about someone who abstains from social media?

Some seeming social media fans scolded Leys for being so old-fashioned about social media, suggesting, “just live your life without being so bothered about offending other people” or saying that “the entire world doesn’t have to be sanitized to meet individual people’s preferences.” Others seemed to better understand Leys’ point of view, with one agreeing that “the problem is that our modern norms (and tech) lead to everyone sharing everything with a large social network.”

Surveying the lively thread, another social media hater joked, “I feel vindicated for my decision to entirely stay off of this drama machine.”

Leys told Ars that he would “absolutely” be in favor of personal social networks like Meta’s platforms dying off or losing steam, as Zuckerberg suggested they already are. He thinks that the decline in personal post engagement that Meta is seeing is likely due to a combination of factors, where some users may prefer more privacy now after years of broadcasting their lives, and others may be tired of the pressure of building a personal brand or experiencing other “odd social dynamics.”

Setting user sentiments aside, Meta is also responsible for people engaging with fewer of their friends’ posts. Meta announced that it would double the amount of force-fed filler in people’s feeds on Instagram and Facebook starting in 2023. That’s when the two-year span begins that Zuckerberg measured in testifying about the sudden drop-off in friends’ content engagement.

So while it’s easy to say the market changed, Meta may be obscuring how much it shaped that shift. Degrading the newsfeed and changing Instagram’s default post shape from square to rectangle seemingly significantly shifted Instagram social norms, for example, creating an environment where Gen Z users felt less comfortable posting as prolifically as millennials did when Instagram debuted, The New Yorker explained last year. Where once millennials painstakingly designed immaculate grids of individual eye-catching photos to seem cool online, Gen Z users told The New Yorker that posting a single photo now feels “humiliating” and like a “social risk.”

But rather than eliminate the impulse to post, this cultural shift has popularized a different form of personal posting: staggered photo dumps, where users wait to post a variety of photos together to sum up a month of events or curate a vibe, the trend piece explained. And Meta is clearly intent on fueling that momentum, doubling the maximum number of photos that users can feature in a single post to encourage even more social posting, The New Yorker noted.

Brendan Benedict, an attorney for Benedict Law Group PLLC who has helped litigate big tech antitrust cases, is monitoring the FTC monopoly trial on a Substack called Big Tech on Trial. He told Ars that the evidence at the trial has shown that “consumers want more friends and family content, and Meta is belatedly trying to address this” with features like the “friends” tab, while claiming there’s less interest in this content.

Leys doesn’t think social media—at least the way that Facebook defined it in the mid-2000s—will ever die, because people will never stop wanting social networks like Facebook or Instagram to stay connected with all their friends and family. But he could see a world where, if people ever started truly caring about privacy or “indeed [got] tired of the social dynamics and personal brand-building… the kind of social media like Facebook and Instagram will have been a generational phenomenon, and they may not immediately bounce back,” especially if it’s easy to switch to other platforms that respond better to user preferences.

He also agreed that requiring interoperability would likely lead to better social media products, but he maintained that “it would still not get me on Instagram.”

Interoperability shakes up social media

Meta thought it may have already beaten the FTC’s monopoly case, filing for a motion for summary judgment after the FTC rested its case in a bid to end the trial early. That dream was quickly dashed when the judge denied the motion days later. But no matter the outcome of the trial, Meta’s influence over the social media world may be waning just as it’s facing increasing pressure to open up its platforms more than ever.

The FTC has alleged that Meta weaponized platform access early on, only allowing certain companies to interoperate and denying access to anyone perceived as a threat to its alleged monopoly power. That includes limiting promotions of Instagram to keep users engaged with Facebook Blue. A primary concern for Meta (then Facebook), the FTC claimed, was avoiding “training users to check multiple feeds,” which might allow other apps to “cannibalize” its users.

“Facebook has used this power to deter and suppress competitive threats to its personal social networking monopoly. In order to protect its monopoly, Facebook adopted and required developers to agree to conditional dealing policies that limited third-party apps’ ability to engage with Facebook rivals or to develop into rivals themselves,” the FTC alleged.

By 2011, the FTC alleged, then-Facebook had begun terminating API access to any developers that made it easier to export user data into a competing social network without Facebook’s permission. That practice only ended when the UK parliament started calling out Facebook’s anticompetitive conduct toward app developers in 2018, the FTC alleged.

According to the FTC, Meta continues “to this day” to “screen developers and can weaponize API access in ways that cement its dominance,” and if scrutiny ever subsides, Meta is expected to return to such anticompetitive practices as the AI race heats up.

One potential hurdle for Meta could be that the push for interoperability is not just coming from the FTC or lawmakers who recently reintroduced bipartisan legislation to end walled gardens. Doctorow told Ars that “huge public groundswells of mistrust and anger about excessive corporate power” that “cross political lines” are prompting global antitrust probes into big tech companies and are perhaps finally forcing a reckoning after years of degrading popular products to chase higher and higher revenues.

For social media companies, mounting concerns about privacy and suspicions about content manipulation or censorship are driving public distrust, Doctorow said, as well as fears of surveillance capitalism. The latter includes theories that Doctorow is skeptical of. Weinstein embraced them, though, warning that platforms seem to be profiting off data without consent while brainwashing users.

Allowing users to leave the platform without losing access to their friends, their social posts, and their messages might be the best way to incentivize Meta to either genuinely compete for billions of users or lose them forever as better options pop up that can plug into their networks.

In his Newsweek op-ed, Weinstein suggested that web inventor Tim Berners-Lee has already invented a working protocol “to enable people to own, upload, download, and relocate their social graphs,” which maps users’ connections across platforms. That could be used to mitigate “the network effect” that locks users into platforms like Meta’s “while interrupting unwanted data collection.”

At the same time, Doctorow told Ars that increasingly popular decentralized platforms like Bluesky and Mastodon already provide interoperability and are next looking into “building interoperable gateways” between their services. Doctorow said that communicating with other users across platforms may feel “awkward” at first, but ultimately, it may be like “having to find the diesel pump at the gas station” instead of the unleaded gas pump. “You’ll still be going to the same gas station,” Doctorow suggested.

Opening up gateways into all platforms could be useful in the future, Doctorow suggested. Imagine if one platform goes down—it would no longer disrupt communications as drastically, as users could just pivot to communicate on another platform and reach the same audience. The same goes for platforms that users grow to distrust.

The EFF supports regulators’ attempts to pass well-crafted interoperability mandates, Doctorow said, noting that “if you have to worry about your users leaving, you generally have to treat them better.”

But would interoperability fix social media?

The FTC has alleged that “Facebook’s dominant position in the US personal social networking market is durable due to significant entry barriers, including direct network effects and high switching costs.”

Meta disputes the FTC’s complaint as outdated, arguing that its platform could be substituted by pretty much any social network.

However, Guy Aridor, a co-author of a recent article called “The Economics of Social Media” in the Journal of Economic Literature, told Ars that dominant platforms are probably threatened by shifting social media trends and are likely to remain “resistant to interoperability” because “it’s in the interest of the platform to make switching and coordination costs high so that users are less likely to migrate away.” For Meta, research shows its platforms’ network effects have appeared to weaken somewhat but “clearly still exist” despite social media users increasingly seeking content on platforms rather than just socialization, Aridor said.

Interoperability advocates believe it will make it easier for startups to compete with giants like Meta, which fight hard and sometimes seemingly dirty to keep users on their apps. Reintroducing the ACCESS Act, which requires platform compatibility to enable service switching, Senator Mark R. Warner (D-Va.) said that “interoperability and portability are powerful tools to promote innovative new companies and limit anti-competitive behaviors.” He’s hoping that passing these “long-overdue requirements” will “boost competition and give consumers more power.”

Aridor told Ars it’s obvious that “interoperability would clearly increase competition,” but he still has questions about whether users would benefit from that competition “since one consistent theme is that these platforms are optimized to maximize engagement, and there’s numerous empirical evidence we have by now that engagement isn’t necessarily correlated with utility.”

Consider, Aridor suggested, how toxic content often leads to high engagement but lower user satisfaction, as MeWe experienced during its 2021 backlash.

Aridor said there is currently “very little empirical evidence on the effects of interoperability,” but theoretically, if it increased competition in the current climate, it would likely “push the market more toward supplying engaging entertainment-related content as opposed to friends and family type of content.”

Benedict told Ars that a remedy like interoperability would likely only be useful to combat Meta’s alleged monopoly following a breakup, which he views as the “natural remedy” following a potential win in the FTC’s lawsuit.

Without the breakup and other meaningful reforms, a Meta win could preserve the status quo and see the company never open up its platforms, perhaps perpetuating Meta’s influence over social media well into the future. And if Zuckerberg’s vision comes to pass, instead of seeing what your friends are posting on interoperating platforms across the Internet, you may have a dozen AI friends trained on your real friends’ behaviors sending you regular dopamine hits to keep you scrolling on Facebook or Instagram.

Aridor’s team’s article suggested that, regardless of user preferences, social media remains a permanent fixture of society. If that’s true, users could get stuck forever using whichever platforms connect them with the widest range of contacts.

“While social media has continued to evolve, one thing that has not changed is that social media remains a central part of people’s lives,” his team’s article concluded.

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

Meta hypes AI friends as social media’s future, but users want real connections Read More »

meta-argues-enshittification-isn’t-real-in-bid-to-toss-ftc-monopoly-trial

Meta argues enshittification isn’t real in bid to toss FTC monopoly trial

Further, Meta argued that the FTC did not show evidence that users sharing friends-and-family content were shown more ads. Meta noted that it “does not profit by showing more ads to users who do not click on them,” so it only shows more ads to users who click ads.

Meta also insisted that there’s “nothing but speculation” showing that Instagram or WhatsApp would have been better off or grown into rivals had Meta not acquired them.

The company claimed that without Meta’s resources, Instagram may have died off. Meta noted that Instagram co-founder Kevin Systrom testified that his app was “pretty broken and duct-taped” together, making it “vulnerable to spam” before Meta bought it.

Rather than enshittification, what Meta did to Instagram could be considered “a consumer-welfare bonanza,” Meta argued, while dismissing “smoking gun” emails from Mark Zuckerberg discussing buying Instagram to bury it as “legally irrelevant.”

Dismissing these as “a few dated emails,” Meta argued that “efforts to litigate Mr. Zuckerberg’s state of mind before the acquisition in 2012 are pointless.”

“What matters is what Meta did,” Meta argued, which was pump Instagram with resources that allowed it “to ‘thrive’—adding many new features, attracting hundreds of millions and then billions of users, and monetizing with great success.”

In the case of WhatsApp, Meta argued that nobody thinks WhatsApp had any intention to pivot to social media when the founders testified that their goal was to never add social features, preferring to offer a simple, clean messaging app. And Meta disputed any claim that it feared Google might buy WhatsApp as the basis for creating a Facebook rival, arguing that “the sole Meta witness to (supposedly) learn of Google’s acquisition efforts testified that he did not have that worry.”

Meta argues enshittification isn’t real in bid to toss FTC monopoly trial Read More »

meta-is-making-users-who-opted-out-of-ai-training-opt-out-again,-watchdog-says

Meta is making users who opted out of AI training opt out again, watchdog says

Noyb has requested a response from Meta by May 21, but it seems unlikely that Meta will quickly cave in this fight.

In a blog post, Meta said that AI training on EU users was critical to building AI tools for Europeans that are informed by “everything from dialects and colloquialisms, to hyper-local knowledge and the distinct ways different countries use humor and sarcasm on our products.”

Meta argued that its AI training efforts in the EU are far more transparent than efforts from competitors Google and OpenAI, which, Meta noted, “have already used data from European users to train their AI models,” supposedly without taking the steps Meta has to inform users.

Also echoing a common refrain in the AI industry, another Meta blog warned that efforts to further delay Meta’s AI training in the EU could lead to “major setbacks,” pushing the EU behind rivals in the AI race.

“Without a reform and simplification of the European regulatory system, Europe threatens to fall further and further behind in the global AI race and lose ground compared to the USA and China,” Meta warned.

Noyb discredits this argument and noted that it can pursue injunctions in various jurisdictions to block Meta’s plan. The group said it’s currently evaluating options to seek injunctive relief and potentially even pursue a class action worth possibly “billions in damages” to ensure that 400 million monthly active EU users’ data rights are shielded from Meta’s perceived grab.

A Meta spokesperson reiterated to Ars that the company’s plan “follows extensive and ongoing engagement with the Irish Data Protection Commission,” while reiterating Meta’s statements in blogs that its AI training approach “reflects consensus among” EU Data Protection Authorities (DPAs).

But while Meta claims that EU regulators have greenlit its AI training plans, Noyb argues that national DPAs have “largely stayed silent on the legality of AI training without consent,” and Meta seems to have “simply moved ahead anyways.”

“This fight is essentially about whether to ask people for consent or simply take their data without it,” Schrems said, adding, “Meta’s absurd claims that stealing everyone’s personal data is necessary for AI training is laughable. Other AI providers do not use social network data—and generate even better models than Meta.”

Meta is making users who opted out of AI training opt out again, watchdog says Read More »

judge-on-meta’s-ai-training:-“i-just-don’t-understand-how-that-can-be-fair-use”

Judge on Meta’s AI training: “I just don’t understand how that can be fair use”


Judge downplayed Meta’s “messed up” torrenting in lawsuit over AI training.

A judge who may be the first to rule on whether AI training data is fair use appeared skeptical Thursday at a hearing where Meta faced off with book authors over the social media company’s alleged copyright infringement.

Meta, like most AI companies, holds that training must be deemed fair use, or else the entire AI industry could face immense setbacks, wasting precious time negotiating data contracts while falling behind global rivals. Meta urged the court to rule that AI training is a transformative use that only references books to create an entirely new work that doesn’t replicate authors’ ideas or replace books in their markets.

At the hearing that followed after both sides requested summary judgment, however, Judge Vince Chhabria pushed back on Meta attorneys arguing that the company’s Llama AI models posed no threat to authors in their markets, Reuters reported.

“You have companies using copyright-protected material to create a product that is capable of producing an infinite number of competing products,” Chhabria said. “You are dramatically changing, you might even say obliterating, the market for that person’s work, and you’re saying that you don’t even have to pay a license to that person.”

Declaring, “I just don’t understand how that can be fair use,” the shrewd judge apparently stoked little response from Meta’s attorney, Kannon Shanmugam, apart from a suggestion that any alleged threat to authors’ livelihoods was “just speculation,” Wired reported.

Authors may need to sharpen their case, which Chhabria warned could be “taken away by fair use” if none of the authors suing, including Sarah Silverman, Ta-Nehisi Coates, and Richard Kadrey, can show “that the market for their actual copyrighted work is going to be dramatically affected.”

Determined to probe this key question, Chhabria pushed authors’ attorney, David Boies, to point to specific evidence of market harms that seemed noticeably missing from the record.

“It seems like you’re asking me to speculate that the market for Sarah Silverman’s memoir will be affected by the billions of things that Llama will ultimately be capable of producing,” Chhabria said. “And it’s just not obvious to me that that’s the case.”

But if authors can prove fears of market harms are real, Meta might struggle to win over Chhabria, and that could set a precedent impacting copyright cases challenging AI training on other kinds of content.

The judge repeatedly appeared to be sympathetic to authors, suggesting that Meta’s AI training may be a “highly unusual case” where even though “the copying is for a highly transformative purpose, the copying has the high likelihood of leading to the flooding of the markets for the copyrighted works.”

And when Shanmugam argued that copyright law doesn’t shield authors from “protection from competition in the marketplace of ideas,” Chhabria resisted the framing that authors weren’t potentially being robbed, Reuters reported.

“But if I’m going to steal things from the marketplace of ideas in order to develop my own ideas, that’s copyright infringement, right?” Chhabria responded.

Wired noted that he asked Meta’s lawyers, “What about the next Taylor Swift?” If AI made it easy to knock off a young singer’s sound, how could she ever compete if AI produced “a billion pop songs” in her style?

In a statement, Meta’s spokesperson reiterated the company’s defense that AI training is fair use.

“Meta has developed transformational open source AI models that are powering incredible innovation, productivity, and creativity for individuals and companies,” Meta’s spokesperson said. “Fair use of copyrighted materials is vital to this. We disagree with Plaintiffs’ assertions, and the full record tells a different story. We will continue to vigorously defend ourselves and to protect the development of GenAI for the benefit of all.”

Meta’s torrenting seems “messed up”

Some have pondered why Chhabria appeared so focused on market harms, instead of hammering Meta for admittedly illegally pirating books that it used for its AI training, which seems to be obvious copyright infringement. According to Wired, “Chhabria spoke emphatically about his belief that the big question is whether Meta’s AI tools will hurt book sales and otherwise cause the authors to lose money,” not whether Meta’s torrenting of books was illegal.

The torrenting “seems kind of messed up,” Chhabria said, but “the question, as the courts tell us over and over again, is not whether something is messed up but whether it’s copyright infringement.”

It’s possible that Chhabria dodged the question for procedural reasons. In a court filing, Meta argued that authors had moved for summary judgment on Meta’s alleged copying of their works, not on “unsubstantiated allegations that Meta distributed Plaintiffs’ works via torrent.”

In the court filing, Meta alleged that even if Chhabria agreed that the authors’ request for “summary judgment is warranted on the basis of Meta’s distribution, as well as Meta’s copying,” that the authors “lack evidence to show that Meta distributed any of their works.”

According to Meta, authors abandoned any claims that Meta’s seeding of the torrented files served to distribute works, leaving only claims about Meta’s leeching. Meta argued that the authors “admittedly lack evidence that Meta ever uploaded any of their works, or any identifiable part of those works, during the so-called ‘leeching’ phase,” relying instead on expert estimates based on how torrenting works.

It’s also possible that for Chhabria, the torrenting question seemed like an unnecessary distraction. Former Meta attorney Mark Lumley, who quit the case earlier this year, told Vanity Fair that the torrenting was “one of those things that sounds bad but actually shouldn’t matter at all in the law. Fair use is always about uses the plaintiff doesn’t approve of; that’s why there is a lawsuit.”

Lumley suggested that court cases mulling fair use at this current moment should focus on the outputs, rather than the training. Citing the ruling in a case where Google Books scanning books to share excerpts was deemed fair use, Lumley argued that “all search engines crawl the full Internet, including plenty of pirated content,” so there’s seemingly no reason to stop AI crawling.

But the Copyright Alliance, a nonprofit, non-partisan group supporting the authors in the case, in a court filing alleged that Meta, in its bid to get AI products viewed as transformative, is aiming to do the opposite. “When describing the purpose of generative AI,” Meta allegedly strives to convince the court to “isolate the ‘training’ process and ignore the output of generative AI,” because that’s seemingly the only way that Meta can convince the court that AI outputs serve “a manifestly different purpose from Plaintiffs’ books,” the Copyright Alliance argued.

“Meta’s motion ignores what comes after the initial ‘training’—most notably the generation of output that serves the same purpose of the ingested works,” the Copyright Alliance argued. And the torrenting question should matter, the group argued, because unlike in Google Books, Meta’s AI models are apparently training on pirated works, not “legitimate copies of books.”

Chhabria will not be making a snap decision in the case, planning to take his time and likely stressing not just Meta, but every AI company defending training as fair use the longer he delays. Understanding that the entire AI industry potentially has a stake in the ruling, Chhabria apparently sought to relieve some tension at the end of the hearing with a joke, Wired reported.

 “I will issue a ruling later today,” Chhabria said. “Just kidding! I will take a lot longer to think about it.”

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

Judge on Meta’s AI training: “I just don’t understand how that can be fair use” Read More »