Meta

threat-of-meta-breakup-looms-as-ftc’s-monopoly-trial-ends

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 »

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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 »

meta’s-surprise-llama-4-drop-exposes-the-gap-between-ai-ambition-and-reality

Meta’s surprise Llama 4 drop exposes the gap between AI ambition and reality

Meta constructed the Llama 4 models using a mixture-of-experts (MoE) architecture, which is one way around the limitations of running huge AI models. Think of MoE like having a large team of specialized workers; instead of everyone working on every task, only the relevant specialists activate for a specific job.

For example, Llama 4 Maverick features a 400 billion parameter size, but only 17 billion of those parameters are active at once across one of 128 experts. Likewise, Scout features 109 billion total parameters, but only 17 billion are active at once across one of 16 experts. This design can reduce the computation needed to run the model, since smaller portions of neural network weights are active simultaneously.

Llama’s reality check arrives quickly

Current AI models have a relatively limited short-term memory. In AI, a context window acts somewhat in that fashion, determining how much information it can process simultaneously. AI language models like Llama typically process that memory as chunks of data called tokens, which can be whole words or fragments of longer words. Large context windows allow AI models to process longer documents, larger code bases, and longer conversations.

Despite Meta’s promotion of Llama 4 Scout’s 10 million token context window, developers have so far discovered that using even a fraction of that amount has proven challenging due to memory limitations. Willison reported on his blog that third-party services providing access, like Groq and Fireworks, limited Scout’s context to just 128,000 tokens. Another provider, Together AI, offered 328,000 tokens.

Evidence suggests accessing larger contexts requires immense resources. Willison pointed to Meta’s own example notebook (“build_with_llama_4“), which states that running a 1.4 million token context needs eight high-end Nvidia H100 GPUs.

Willison documented his own testing troubles. When he asked Llama 4 Scout via the OpenRouter service to summarize a long online discussion (around 20,000 tokens), the result wasn’t useful. He described the output as “complete junk output,” which devolved into repetitive loops.

Meta’s surprise Llama 4 drop exposes the gap between AI ambition and reality Read More »

meta-plans-to-test-and-tinker-with-x’s-community-notes-algorithm

Meta plans to test and tinker with X’s community notes algorithm

Meta also confirmed that it won’t be reducing visibility of misleading posts with community notes. That’s a change from the prior system, Meta noted, which had penalties associated with fact-checking.

According to Meta, X’s algorithm cannot be gamed, supposedly safeguarding “against organized campaigns” striving to manipulate notes and “influence what notes get published or what they say.” Meta claims it will rely on external research on community notes to avoid that pitfall, but as recently as last October, outside researchers had suggested that X’s Community Notes were easily sabotaged by toxic X users.

“We don’t expect this process to be perfect, but we’ll continue to improve as we learn,” Meta said.

Meta confirmed that the company plans to tweak X’s algorithm over time to develop its own version of community notes, which “may explore different or adjusted algorithms to support how Community Notes are ranked and rated.”

In a post, X’s Support account said that X was “excited” that Meta was using its “well-established, academically studied program as a foundation” for its community notes.

Meta plans to test and tinker with X’s community notes algorithm Read More »

ai-firms-follow-deepseek’s-lead,-create-cheaper-models-with-“distillation”

AI firms follow DeepSeek’s lead, create cheaper models with “distillation”

Thanks to distillation, developers and businesses can access these models’ capabilities at a fraction of the price, allowing app developers to run AI models quickly on devices such as laptops and smartphones.

Developers can use OpenAI’s platform for distillation, learning from the large language models that underpin products like ChatGPT. OpenAI’s largest backer, Microsoft, used GPT-4 to distill its small language family of models Phi as part of a commercial partnership after investing nearly $14 billion into the company.

However, the San Francisco-based start-up has said it believes DeepSeek distilled OpenAI’s models to train its competitor, a move that would be against its terms of service. DeepSeek has not commented on the claims.

While distillation can be used to create high-performing models, experts add they are more limited.

“Distillation presents an interesting trade-off; if you make the models smaller, you inevitably reduce their capability,” said Ahmed Awadallah of Microsoft Research, who said a distilled model can be designed to be very good at summarising emails, for example, “but it really would not be good at anything else.”

David Cox, vice-president for AI models at IBM Research, said most businesses do not need a massive model to run their products, and distilled ones are powerful enough for purposes such as customer service chatbots or running on smaller devices like phones.

“Any time you can [make it less expensive] and it gives you the right performance you want, there is very little reason not to do it,” he added.

That presents a challenge to many of the business models of leading AI firms. Even if developers use distilled models from companies like OpenAI, they cost far less to run, are less expensive to create, and, therefore, generate less revenue. Model-makers like OpenAI often charge less for the use of distilled models as they require less computational load.

AI firms follow DeepSeek’s lead, create cheaper models with “distillation” Read More »

meta-claims-torrenting-pirated-books-isn’t-illegal-without-proof-of-seeding

Meta claims torrenting pirated books isn’t illegal without proof of seeding

Just because Meta admitted to torrenting a dataset of pirated books for AI training purposes, that doesn’t necessarily mean that Meta seeded the file after downloading it, the social media company claimed in a court filing this week.

Evidence instead shows that Meta “took precautions not to ‘seed’ any downloaded files,” Meta’s filing said. Seeding refers to sharing a torrented file after the download completes, and because there’s allegedly no proof of such “seeding,” Meta insisted that authors cannot prove Meta shared the pirated books with anyone during the torrenting process.

Whether or not Meta actually seeded the pirated books could make a difference in a copyright lawsuit from book authors including Richard Kadrey, Sarah Silverman, and Ta-Nehisi Coates. Authors had previously alleged that Meta unlawfully copied and distributed their works through AI outputs—an increasingly common complaint that so far has barely been litigated. But Meta’s admission to torrenting appears to add a more straightforward claim of unlawful distribution of copyrighted works through illegal torrenting, which has long been considered established case-law.

Authors have alleged that “Meta deliberately engaged in one of the largest data piracy campaigns in history to acquire text data for its LLM training datasets, torrenting and sharing dozens of terabytes of pirated data that altogether contain many millions of copyrighted works.” Separate from their copyright infringement claims opposing Meta’s AI training on pirated copies of their books, authors alleged that Meta torrenting the dataset was “independently illegal” under California’s Computer Data Access and Fraud Act (CDAFA), which allegedly “prevents the unauthorized taking of data, including copyrighted works.”

Meta, however, is hoping to convince the court that torrenting is not in and of itself illegal, but is, rather, a “widely-used protocol to download large files.” According to Meta, the decision to download the pirated books dataset from pirate libraries like LibGen and Z-Library was simply a move to access “data from a ‘well-known online repository’ that was publicly available via torrents.”

Meta claims torrenting pirated books isn’t illegal without proof of seeding Read More »

arm-to-start-making-server-cpus-in-house

Arm to start making server CPUs in-house

Cambridge-headquartered Arm has more than doubled in value to $160 billion since it listed on Nasdaq in 2023, carried higher by explosive investor interest in AI. Arm’s partnerships with Nvidia and Amazon have driven its rapid growth in the data centers that power AI assistants from OpenAI, Meta, and Anthropic.

Meta is the latest big tech company to turn to Arm for server chips, displacing those traditionally provided by Intel and AMD.

During last month’s earnings call, Meta’s finance chief Susan Li said it would be “extending our custom silicon efforts to [AI] training workloads” to drive greater efficiency and performance by tuning its chips to its particular computing needs.

Meanwhile, an Arm-produced chip is also likely to eventually play a role in Sir Jony Ive’s secretive plans to build a new kind of AI-powered personal device, which is a collaboration between the iPhone designer’s firm LoveFrom, OpenAI’s Sam Altman, and SoftBank.

Arm’s designs have been used in more than 300 billion chips, including almost all of the world’s smartphones. Its power-efficient designs have made its CPUs, the general-purpose workhorse that sits at the heart of any computer, an increasingly attractive alternative to Intel’s chips in PCs and servers at a time when AI is making data centers much more energy-intensive.

Arm, which started out in a converted turkey barn in Cambridgeshire 35 years ago, became ubiquitous in the mobile market by licensing its designs to Apple for its iPhone chips, as well as Android suppliers such as Qualcomm and MediaTek. Maintaining its unique position in the center of the fiercely competitive mobile market has required a careful balancing act for Arm.

But Son has long pushed for Arm to make more money from its intellectual property. Under Haas, who became chief executive in 2022, Arm’s business model began to evolve, with a focus on driving higher royalties from customers as the company designs more of the building blocks needed to make a chip.

Going a step further by building and selling its own complete chip is a bold move by Haas that risks putting it on a collision course with customers such as Qualcomm, which is already locked in a legal battle with Arm over licensing terms, and Nvidia, the world’s most valuable chipmaker.

Arm, SoftBank, and Meta declined to comment.

Additional reporting by Hannah Murphy.

© 2025 The Financial Times Ltd. All rights reserved. Not to be redistributed, copied, or modified in any way.

Arm to start making server CPUs in-house Read More »

”torrenting-from-a-corporate-laptop-doesn’t-feel-right”:-meta-emails-unsealed

”Torrenting from a corporate laptop doesn’t feel right”: Meta emails unsealed

Emails discussing torrenting prove that Meta knew it was “illegal,” authors alleged. And Bashlykov’s warnings seemingly landed on deaf ears, with authors alleging that evidence showed Meta chose to instead hide its torrenting as best it could while downloading and seeding terabytes of data from multiple shadow libraries as recently as April 2024.

Meta allegedly concealed seeding

Supposedly, Meta tried to conceal the seeding by not using Facebook servers while downloading the dataset to “avoid” the “risk” of anyone “tracing back the seeder/downloader” from Facebook servers, an internal message from Meta researcher Frank Zhang said, while describing the work as in “stealth mode.” Meta also allegedly modified settings “so that the smallest amount of seeding possible could occur,” a Meta executive in charge of project management, Michael Clark, said in a deposition.

Now that new information has come to light, authors claim that Meta staff involved in the decision to torrent LibGen must be deposed again, because allegedly the new facts “contradict prior deposition testimony.”

Mark Zuckerberg, for example, claimed to have no involvement in decisions to use LibGen to train AI models. But unredacted messages show the “decision to use LibGen occurred” after “a prior escalation to MZ,” authors alleged.

Meta did not immediately respond to Ars’ request for comment and has maintained throughout the litigation that AI training on LibGen was “fair use.”

However, Meta has previously addressed its torrenting in a motion to dismiss filed last month, telling the court that “plaintiffs do not plead a single instance in which any part of any book was, in fact, downloaded by a third party from Meta via torrent, much less that Plaintiffs’ books were somehow distributed by Meta.”

While Meta may be confident in its legal strategy despite the new torrenting wrinkle, the social media company has seemingly complicated its case by allowing authors to expand the distribution theory that’s key to winning a direct copyright infringement claim beyond just claiming that Meta’s AI outputs unlawfully distributed their works.

As limited discovery on Meta’s seeding now proceeds, Meta is not fighting the seeding aspect of the direct copyright infringement claim at this time, telling the court that it plans to “set… the record straight and debunk… this meritless allegation on summary judgment.”

”Torrenting from a corporate laptop doesn’t feel right”: Meta emails unsealed Read More »