Artificial Intelligence

redditor-accidentally-reinvents-discarded-’90s-tool-to-escape-today’s-age-gates

Redditor accidentally reinvents discarded ’90s tool to escape today’s age gates


The ’90s called. They want their flawed age verification methods back.

A boys head with a fingerprint revealing something unclear but perhaps evocative

Credit: Aurich Lawson | Getty Images

Credit: Aurich Lawson | Getty Images

Back in the mid-1990s, when The Net was among the top box office draws and Americans were just starting to flock online in droves, kids had to swipe their parents’ credit cards or find a fraudulent number online to access adult content on the web. But today’s kids—even in states with the strictest age verification laws—know they can just use Google.

Last month, a study analyzing the relative popularity of Google search terms found that age verification laws shift users’ search behavior. It’s impossible to tell if the shift represents young users attempting to circumvent the child-focused law or adult users who aren’t the actual target of the laws. But overall, enforcement causes nearly half of users to stop searching for popular adult sites complying with laws and instead search for a noncompliant rival (48 percent) or virtual private network (VPN) services (34 percent), which are used to mask a location and circumvent age checks on preferred sites, the study found.

“Individuals adapt primarily by moving to content providers that do not require age verification,” the study concluded.

Although the Google Trends data prevented researchers from analyzing trends by particular age groups, the findings help confirm critics’ fears that age verification laws “may be ineffective, potentially compromise user privacy, and could drive users toward less regulated, potentially more dangerous platforms,” the study said.

The authors warn that lawmakers are not relying enough on evidence-backed policy evaluations to truly understand the consequences of circumvention strategies before passing laws. Internet law expert Eric Goldman recently warned in an analysis of age-estimation tech available today that this situation creates a world in which some kids are likely to be harmed by the laws designed to protect them.

Goldman told Ars that all of the age check methods carry the same privacy and security flaws, concluding that technology alone can’t solve this age-old societal problem. And logic-defying laws that push for them could end up “dramatically” reshaping the Internet, he warned.

Zeve Sanderson, a co-author of the Google Trends study, told Ars that “if you’re a policymaker, in addition to being potentially nervous about the more dangerous content, it’s also about just benefiting a noncompliant firm.”

“You don’t want to create a regulatory environment where noncompliance is incentivized or they benefit in some way,” Sanderson said.

Sanderson’s study pointed out that search data is only part of the picture. Some users may be using VPNs and accessing adult sites through direct URLs rather than through search. Others may rely on social media to find adult content, a 2025 conference paper noted, “easily” bypassing age checks on the largest platforms. VPNs remain the most popular circumvention method, a 2024 article in the International Journal of Law, Ethics, and Technology confirmed, “and yet they tend to be ignored or overlooked by statutes despite their popularity.”

While kids are ducking age gates and likely putting their sensitive data at greater risk, adult backlash may be peaking over the red wave of age-gating laws already blocking adults from visiting popular porn sites in several states.

Some states started controversially requiring checking IDs to access adult content, which prompted Pornhub owner Aylo to swiftly block access to its sites in certain states. Pornhub instead advocates for device-based age verification, which it claims is a safer choice.

Aylo’s campaign has seemingly won over some states that either explicitly recommend device-based age checks or allow platforms to adopt whatever age check method they deem “reasonable.” Other methods could include app store-based age checks, algorithmic age estimation (based on a user’s web activity), face scans, or even tools that guess users’ ages based on hand movements.

On Reddit, adults have spent the past year debating the least intrusive age verification methods, as it appears inevitable that adult content will stay locked down, and they dread a future where more and more adult sites might ask for IDs. Additionally, critics have warned that showing an ID magnifies the risk of users publicly exposing their sexual preferences if a data breach or leak occurs.

To avoid that fate, at least one Redditor has attempted to reinvent the earliest age verification method, promoting a resurgence of credit card-based age checks that society discarded as unconstitutional in the early 2000s.

Under those systems, an entire industry of age verification companies emerged, selling passcodes to access adult sites for a supposedly nominal fee. The logic was simple: Only adults could buy credit cards, so only adults could buy passcodes with credit cards.

If “a person buys, for a nominal fee, a randomly generated passcode not connected to them in any way” to access adult sites, one Redditor suggested about three months ago, “there won’t be any way to tie the individual to that passcode.”

“This could satisfy the requirement to keep stuff out of minors’ hands,” the Redditor wrote in a thread asking how any site featuring sexual imagery could hypothetically comply with US laws. “Maybe?”

Several users rushed to educate the Redditor about the history of age checks. Those grasping for purely technology-based solutions today could be propping up the next industry flourishing from flawed laws, they said.

And, of course, since ’90s kids easily ducked those age gates, too, history shows why investing millions to build the latest and greatest age verification systems probably remains a fool’s errand after all these years.

The cringey early history of age checks

The earliest age verification systems were born out of Congress’s “first attempt to outlaw pornography online,” the LA Times reported. That attempt culminated in the Communications Decency Act of 1996.

Although the law was largely overturned a year later, the million-dollar age verification industry was already entrenched, partly due to its intriguing business model. These companies didn’t charge adult sites any fee to add age check systems—which required little technical expertise to implement—and instead shared a big chunk of their revenue with porn sites that opted in. Some sites got 50 percent of revenues, estimated in the millions, simply for adding the functionality.

The age check business was apparently so lucrative that in 2000, one adult site, which was sued for distributing pornographic images of children, pushed fans to buy subscriptions to its preferred service as a way of helping to fund its defense, Wired reported. “Please buy an Adult Check ID, and show your support to fight this injustice!” the site urged users. (The age check service promptly denied any association with the site.)

In a sense, the age check industry incentivized adult sites’ growth, an American Civil Liberties Union attorney told the LA Times in 1999. In turn, that fueled further growth in the age verification industry.

Some services made their link to adult sites obvious, like Porno Press, which charged a one-time fee of $9.95 to access affiliated adult sites, a Congressional filing noted. But many others tried to mask the link, opting for names like PayCom or CCBill, as Forbes reported, perhaps enticing more customers by drawing less attention on a credit card statement. Other firms had names like Adult Check, Mancheck, and Adult Sights, Wired reported.

Of these firms, the biggest and most successful was Adult Check. At its peak popularity in 2001, the service boasted 4 million customers willing to pay “for the privilege of ogling 400,000 sex sites,” Forbes reported.

At the head of the company was Laith P. Alsarraf, the CEO of the Adult Check service provider Cybernet Ventures.

Alsarraf testified to Congress several times, becoming a go-to expert witness for lawmakers behind the 1998 Child Online Protection Act (COPA). Like the version of the CDA that prompted it, this act was ultimately deemed unconstitutional. And some judges and top law enforcement officers defended Alsarraf’s business model with Adult Check in court—insisting that it didn’t impact adult speech and “at most” posed a “modest burden” that was “outweighed by the government’s compelling interest in shielding minors” from adult content.

But his apparent conflicts of interest also drew criticism. One judge warned in 1999 that “perhaps we do the minors of this country harm if First Amendment protections, which they will with age inherit fully, are chipped away in the name of their protection,” the American Civil Liberties Union (ACLU) noted.

Summing up the seeming conflict, Ann Beeson, an ACLU lawyer, told the LA Times, “the government wants to shut down porn on the Net. And yet their main witness is this guy who makes his money urging more and more people to access porn on the Net.”

’90s kids dodged Adult Check age gates

Adult Check’s subscription costs varied, but the service predictably got more expensive as its popularity spiked. In 1999, customers could snag a “lifetime membership” for $76.95 or else fork over $30 every two years or $20 annually, the LA Times reported. Those were good deals compared to the significantly higher costs documented in the 2001 Forbes report, which noted a three-month package was available for $20, or users could pay $20 monthly to access supposedly premium content.

Among Adult Check’s customers were apparently some savvy kids who snuck through the cracks in the system. In various threads debating today’s laws, several Redditors have claimed that they used Adult Check as minors in the ’90s, either admitting to stealing a parent’s credit card or sharing age-authenticated passcodes with friends.

“Adult Check? I remember signing up for that in the mid-late 90s,” one commenter wrote in a thread asking if anyone would ever show ID to access porn. “Possibly a minor friend of mine paid for half the fee so he could use it too.”

“Those years were a strange time,” the commenter continued. “We’d go see tech-suspense-horror-thrillers like The Net and Disclosure where the protagonist has to fight to reclaim their lives from cyberantagonists, only to come home to send our personal information along with a credit card payment so we could look at porn.”

“LOL. I remember paying for the lifetime package, thinking I’d use it for decades,” another commenter responded. “Doh…”

Adult Check thrived even without age check laws

Sanderson’s study noted that today, minors’ “first exposure [to adult content] typically occurs between ages 11–13,” which is “substantially earlier than pre-Internet estimates.” Kids seeking out adult content may be in a period of heightened risk-taking or lack self-control, while others may be exposed without ever seeking it out. Some studies suggest that kids who are more likely to seek out adult content could struggle with lower self-esteem, emotional problems, body image concerns, or depressive symptoms. These potential negative associations with adolescent exposure to porn have long been the basis for lawmakers’ fight to keep the content away from kids—and even the biggest publishers today, like Pornhub, agree that it’s a worthy goal.

After parents got wise to ’90s kids dodging age gates, pressure predictably mounted on Adult Check to solve the problem, despite Adult Check consistently admitting that its system wasn’t foolproof. Alsarraf claimed that Adult Check developed “proprietary” technology to detect when kids were using credit cards or when multiple kids were attempting to use the same passcode at the same time from different IP addresses. He also claimed that Adult Check could detect stolen credit cards, bogus card numbers, card numbers “posted on the Internet,” and other fraud.

Meanwhile, the LA Times noted, Cybernet Ventures pulled in an estimated $50 million in 1999, ensuring that the CEO could splurge on a $690,000 house in Pasadena and a $100,000 Hummer. Although Adult Check was believed to be his most profitable venture at that time, Alsarraf told the LA Times that he wasn’t really invested in COPA passing.

“I know Adult Check will flourish,” Alsarraf said, “with or without the law.”

And he was apparently right. By 2001, subscriptions banked an estimated $320 million.

After the CDA and COPA were blocked, “many website owners continue to use Adult Check as a responsible approach to content accessibility,” Alsarraf testified.

While adult sites were likely just in it for the paychecks—which reportedly were dependably delivered—he positioned this ongoing growth as fueled by sites voluntarily turning to Adult Check to protect kids and free speech. “Adult Check allows a free flow of ideas and constitutionally protected speech to course through the Internet without censorship and unreasonable intrusion,” Alsarraf said.

“The Adult Check system is the least restrictive, least intrusive method of restricting access to content that requires minimal cost, and no parental technical expertise and intervention: It does not judge content, does not inhibit free speech, and it does not prevent access to any ideas, word, thoughts, or expressions,” Alsarraf testified.

Britney Spears aided Adult Check’s downfall

Adult Check’s downfall ultimately came in part thanks to Britney Spears, Wired reported in 2002. Spears went from Mickey Mouse Club child star to the “Princess of Pop” at 16 years old with her hit “Baby One More Time” in 1999, the same year that Adult Check rose to prominence.

Today, Spears is well-known for her activism, but in the late 1990s and early 2000s, she was one of the earliest victims of fake online porn.

Spears submitted documents in a lawsuit raised by the publisher of a porn magazine called Perfect 10. The publisher accused Adult Check of enabling the infringement of its content featured on the age check provider’s partner sites, and Spears’ documents helped prove that Adult Check was also linking to “non-existent nude photos,” allegedly in violation of unfair competition laws. The case was an early test of online liability, and Adult Check seemingly learned the hard way that the courts weren’t on its side.

That suit prompted an injunction blocking Adult Check from partnering with sites promoting supposedly illicit photos of “models and celebrities,” which it said was no big deal because it only comprised about 6 percent of its business.

However, after losing the lawsuit in 2004, Adult Check’s reputation took a hit, and it fell out of the pop lexicon. Although Cybernet Ventures continued to exist, Adult Check screening was dropped from sites, as it was no longer considered the gold standard in age verification. Perhaps more importantly, it was no longer required by law.

But although millions validated Adult Check for years, not everybody in the ’90s bought into Adult Check’s claims that it was protecting kids from porn. Some critics said it only provided a veneer of online safety without meaningfully impacting kids. Most of the country—more than 250 million US residents—never subscribed.

“I never used Adult Check,” one Redditor said in a thread pondering whether age gate laws might increase the risks of government surveillance. “My recollection was that it was an untrustworthy scam and unneeded barrier for the theater of legitimacy.”

Alsarraf keeps a lower profile these days and did not respond to Ars’ request to comment.

The rise and fall of Adult Check may have prevented more legally viable age verification systems from gaining traction. The ACLU argued that its popularity trampled the momentum of the “least restrictive” method for age checks available in the ’90s, a system called the Platform for Internet Content Selection (PICS).

Based on rating and filtering technology, PICS allowed content providers or third-party interest groups to create private rating systems so that “individual users can then choose the rating system that best reflects their own values, and any material that offends them will be blocked from their homes.”

However, like all age check systems, PICS was also criticized as being imperfect. Legal scholar Lawrence Lessig called it “the devil” because “it allows censorship at any point on the chain of distribution” of online content.

Although the age verification technology has changed, today’s lawmakers are stuck in the same debate decades later, with no perfect solutions in sight.

SCOTUS to rule on constitutionality of age gate laws

This summer, the Supreme Court will decide whether a Texas law blocking minors’ access to porn is constitutional. The decision could either stunt the momentum or strengthen the backbone of nearly 20 laws in red states across the country seeking to age-gate the Internet.

For privacy advocates opposing the laws, the SCOTUS ruling feels like a sink-or-swim moment for age gates, depending on which way the court swings. And it will come just as blue states like Colorado have recently begun pushing for age gates, too. Meanwhile, other laws increasingly seek to safeguard kids’ privacy and prevent social media addiction by also requiring age checks.

Since the 1990s, the US has debated how to best keep kids away from harmful content without trampling adults’ First Amendment rights. And while cruder credit card-based systems like Adult Check are no longer seen as viable, it’s clear that for lawmakers today, technology is still viewed as both the problem and the solution.

While lawmakers claim that the latest technology makes it easier than ever to access porn, advancements like digital IDs, device-based age checks, or app store age checks seem to signal salvation, making it easier to digitally verify user ages. And some artificial intelligence solutions have likely made lawmakers’ dreams of age-gating the Internet appear even more within reach.

Critics have condemned age gates as unconstitutionally limiting adults’ access to legal speech, at the furthest extreme accusing conservatives of seeking to censor all adult content online or expand government surveillance by tracking people’s sexual identity. (Goldman noted that “Russell Vought, an architect of Project 2025 and President Trump’s Director of the Office of Management and Budget, admitted that he favored age authentication mandates as a ‘back door’ way to censor pornography.”)

Ultimately, SCOTUS could end up deciding if any kind of age gate is ever appropriate. The court could perhaps rule that strict scrutiny, which requires a narrowly tailored solution to serve a compelling government interest, must be applied, potentially ruling out all of lawmakers’ suggested strategies. Or the court could decide that strict scrutiny applies but age checks are narrowly tailored. Or it could go the other way and rule that strict scrutiny does not apply, so all state lawmakers need to show is that their basis for requiring age verification is rationally connected to their interest in blocking minors from adult content.

Age verification remains flawed, experts say

If there’s anything the ’90s can teach lawmakers about age gates, it’s that creating an age verification industry dependent on adult sites will only incentivize the creation of more adult sites that benefit from the new rules. Back then, when age verification systems increased sites’ revenues, compliant sites were rewarded, but in today’s climate, it’s the noncompliant sites that stand to profit by not authenticating ages.

Sanderson’s study noted that Louisiana “was the only state that implemented age verification in a manner that plausibly preserved a user’s anonymity while verifying age,” which is why Pornhub didn’t block the state over its age verification law. But other states that Pornhub blocked passed copycat laws that “tended to be stricter, either requiring uploads of an individual’s government identification,” methods requiring providing other sensitive data, “or even presenting biometric data such as face scanning,” the study noted.

The technology continues evolving as the debate rages on. Some of the most popular platforms and biggest tech companies have been testing new age estimation methods this year. Notably, Discord is testing out face scans in the United Kingdom and Australia, and both Meta and Google are testing technology to supposedly detect kids lying about their ages online.

But a solution has not yet been found as parents and their lawyers circle social media companies they believe are harming their kids. In fact, the unreliability of the tech remains an issue for Meta, which is perhaps the most motivated to find a fix, having long faced immense pressure to improve child safety on its platforms. Earlier this year, Meta had to yank its age detection tool after the “measure didn’t work as well as we’d hoped and inadvertently locked out some parents and guardians who shared devices with their teens,” the company said.

On April 21, Meta announced that it started testing the tech in the US, suggesting the flaws were fixed, but Meta did not directly respond to Ars’ request to comment in more detail on updates.

Two years ago, Ash Johnson, a senior policy manager at the nonpartisan nonprofit think tank the Information Technology and Innovation Foundation (ITIF), urged Congress to “support more research and testing of age verification technology,” saying that the government’s last empirical evaluation was in 2014. She noted then that “the technology is not perfect, and some children will break the rules, eventually slipping through the safeguards,” but that lawmakers need to understand the trade-offs of advocating for different tech solutions or else risk infringing user privacy.

More research is needed, Johnson told Ars, while Sanderson’s study suggested that regulators should also conduct circumvention research or be stuck with laws that have a “limited effectiveness as a standalone policy tool.”

For example, while AI solutions are increasingly more accurate—and in one Facebook survey overwhelmingly more popular with users, Goldman’s analysis noted—the tech still struggles to differentiate between a 17- or 18-year-old, for example.

Like Aylo, ITIF recommends device-based age authentication as the least restrictive method, Johnson told Ars. Perhaps the biggest issue with that option, though, is that kids may have an easy time accessing adult content on devices shared with parents, Goldman noted.

Not sharing Johnson’s optimism, Goldman wrote that “there is no ‘preferred’ or ‘ideal’ way to do online age authentication.” Even a perfect system that accurately authenticates age every time would be flawed, he suggested.

“Rather, they each fall on a spectrum of ‘dangerous in one way’ to ‘dangerous in a different way,'” he wrote, concluding that “every solution has serious privacy, accuracy, or security problems.”

Kids at “grave risk” from uninformed laws

As a “burgeoning” age verification industry swells, Goldman wants to see more earnest efforts from lawmakers to “develop a wider and more thoughtful toolkit of online child safety measures.” They could start, he suggested, by consistently defining minors in laws so it’s clear who is being regulated and what access is being restricted. They could then provide education to parents and minors to help them navigate online harms.

Without such careful consideration, Goldman predicts a dystopian future prompted by age verification laws. If SCOTUS endorses them, users could become so accustomed to age gates that they start entering sensitive information into various web platforms without a second thought. Even the government knows that would be a disaster, Goldman said.

“Governments around the world want people to think twice before sharing sensitive biometric information due to the information’s immutability if stolen,” Goldman wrote. “Mandatory age authentication teaches them the opposite lesson.”

Goldman recommends that lawmakers start seeking an information-based solution to age verification problems rather than depending on tech to save the day.

“Treating the online age authentication challenges as purely technological encourages the unsupportable belief that its problems can be solved if technologists ‘nerd harder,'” Goldman wrote. “This reductionist thinking is a categorical error. Age authentication is fundamentally an information problem, not a technology problem. Technology can help improve information accuracy and quality, but it cannot unilaterally solve information challenges.”

Lawmakers could potentially minimize risks to kids by only verifying age when someone tries to access restricted content or “by compelling age authenticators to minimize their data collection” and “promptly delete any highly sensitive information” collected. That likely wouldn’t stop some vendors from collecting or retaining data anyway, Goldman suggested. But it could be a better standard to protect users of all ages from inevitable data breaches, since we know that “numerous authenticators have suffered major data security failures that put authenticated individuals at grave risk.”

“If the policy goal is to protect minors online because of their potential vulnerability, then forcing minors to constantly decide whether or not to share highly sensitive information with strangers online is a policy failure,” Goldman wrote. “Child safety online needs a whole-of-society response, not a delegate-and-pray approach.”

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.

Redditor accidentally reinvents discarded ’90s tool to escape today’s age gates Read More »

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OpenAI rolls back update that made ChatGPT a sycophantic mess

In search of good vibes

OpenAI, along with competitors like Google and Anthropic, is trying to build chatbots that people want to chat with. So, designing the model’s apparent personality to be positive and supportive makes sense—people are less likely to use an AI that comes off as harsh or dismissive. For lack of a better word, it’s increasingly about vibemarking.

When Google revealed Gemini 2.5, the team crowed about how the model topped the LM Arena leaderboard, which lets people choose between two different model outputs in a blinded test. The models people like more end up at the top of the list, suggesting they are more pleasant to use. Of course, people can like outputs for different reasons—maybe one is more technically accurate, or the layout is easier to read. But overall, people like models that make them feel good. The same is true of OpenAI’s internal model tuning work, it would seem.

An example of ChatGPT’s overzealous praise.

Credit: /u/Talvy

An example of ChatGPT’s overzealous praise. Credit: /u/Talvy

It’s possible this pursuit of good vibes is pushing models to display more sycophantic behaviors, which is a problem. Anthropic’s Alex Albert has cited this as a “toxic feedback loop.” An AI chatbot telling you that you’re a world-class genius who sees the unseen might not be damaging if you’re just brainstorming. However, the model’s unending praise can lead people who are using AI to plan business ventures or, heaven forbid, enact sweeping tariffs, to be fooled into thinking they’ve stumbled onto something important. In reality, the model has just become so sycophantic that it loves everything.

The constant pursuit of engagement has been a detriment to numerous products in the Internet era, and it seems generative AI is not immune. OpenAI’s GPT-4o update is a testament to that, but hopefully, this can serve as a reminder for the developers of generative AI that good vibes are not all that matters.

OpenAI rolls back update that made ChatGPT a sycophantic mess Read More »

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Mike Lindell’s lawyers used AI to write brief—judge finds nearly 30 mistakes

A lawyer representing MyPillow and its CEO Mike Lindell in a defamation case admitted using artificial intelligence in a brief that has nearly 30 defective citations, including misquotes and citations to fictional cases, a federal judge said.

“[T]he Court identified nearly thirty defective citations in the Opposition. These defects include but are not limited to misquotes of cited cases; misrepresentations of principles of law associated with cited cases, including discussions of legal principles that simply do not appear within such decisions; misstatements regarding whether case law originated from a binding authority such as the United States Court of Appeals for the Tenth Circuit; misattributions of case law to this District; and most egregiously, citation of cases that do not exist,” US District Judge Nina Wang wrote in an order to show cause Wednesday.

Wang ordered attorneys Christopher Kachouroff and Jennifer DeMaster to show cause as to why the court should not sanction the defendants, law firm, and individual attorneys. Kachouroff and DeMaster also have to explain why they should not be referred to disciplinary proceedings for violations of the rules of professional conduct.

Kachouroff and DeMaster, who are defending Lindell against a lawsuit filed by former Dominion Voting Systems employee Eric Coomer, both signed the February 25 brief with the defective citations. Kachouroff, representing defendants as lead counsel, admitted using AI to write the brief at an April 21 hearing, the judge wrote. The case is in the US District Court for the District of Colorado.

“Time and time again, when Mr. Kachouroff was asked for an explanation of why citations to legal authorities were inaccurate, he declined to offer any explanation, or suggested that it was a ‘draft pleading,'” Wang wrote. “Not until this Court asked Mr. Kachouroff directly whether the Opposition was the product of generative artificial intelligence did Mr. Kachouroff admit that he did, in fact, use generative artificial intelligence.”

Mike Lindell’s lawyers used AI to write brief—judge finds nearly 30 mistakes Read More »

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Trump orders Ed Dept to make AI a national priority while plotting agency’s death

Trump pushes for industry involvement

It seems clear that Trump’s executive order was a reaction to China’s announcement about AI education reforms last week, as Reuters reported. Elsewhere, Singapore and Estonia have laid out their AI education initiatives, Forbes reported, indicating that AI education is increasingly considered critical to any nation’s success.

Trump’s vision for the US requires training teachers and students about what AI is and what it can do. He offers no new appropriations to fund the initiative; instead, he directs a new AI Education Task Force to find existing funding to cover both research into how to implement AI in education and the resources needed to deliver on the executive order’s promises.

Although AI advocates applauded Trump’s initiative, the executive order’s vagueness makes it uncertain how AI education tools will be assessed as Trump pushes for AI to be integrated into “all subject areas.” Possibly using AI in certain educational contexts could disrupt learning by confabulating misinformation, a concern that the Biden administration had in its more cautious approach to AI education initiatives.

Trump also seems to push for much more private sector involvement than Biden did.

The order recommended that education institutions collaborate with industry partners and other organizations to “collaboratively develop online resources focused on teaching K–12 students foundational AI literacy and critical thinking skills.” These partnerships will be announced on a “rolling basis,” the order said. It also pushed students and teachers to partner with industry for the Presidential AI Challenge to foster collaboration.

For Trump’s AI education plan to work, he will seemingly need the DOE to stay intact. However, so far, Trump has not acknowledged this tension. In March, he ordered the DOE to dissolve, with power returned to states to ensure “the effective and uninterrupted delivery of services, programs, and benefits on which Americans rely.”

Were that to happen, at least 27 states and Puerto Rico—which EdWeek reported have already laid out their own AI education guidelines—might push back, using their power to control federal education funding to pursue their own AI education priorities and potentially messing with Trump’s plan.

Trump orders Ed Dept to make AI a national priority while plotting agency’s death Read More »

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Perplexity will come to Moto phones after exec testified Google limited access

Shevelenko was also asked about Chrome, which the DOJ would like to force Google to sell. Like an OpenAI executive said on Monday, Shevelenko confirmed Perplexity would be interested in buying the browser from Google.

Motorola has all the AI

There were some vague allusions during the trial that Perplexity would come to Motorola phones this year, but we didn’t know just how soon that was. With the announcement of its 2025 Razr devices, Moto has confirmed a much more expansive set of AI features. Parts of the Motorola AI experience are powered by Gemini, Copilot, Meta, and yes, Perplexity.

While Gemini gets top billing as the default assistant app, other firms have wormed their way into different parts of the software. Perplexity’s app will be preloaded, and anyone who buys the new Razrs. Owners will also get three free months of Perplexity Pro. This is the first time Perplexity has had a smartphone distribution deal, but it won’t be shown prominently on the phone. When you start a Motorola device, it will still look like a Google playground.

While it’s not the default assistant, Perplexity is integrated into the Moto AI platform. The new Razrs will proactively suggest you perform an AI search when accessing certain features like the calendar or browsing the web under the banner “Explore with Perplexity.” The Perplexity app has also been optimized to work with the external screen on Motorola’s foldables.

Moto AI also has elements powered by other AI systems. For example, Microsoft Copilot will appear in Moto AI with an “Ask Copilot” option. And Meta’s Llama model powers a Moto AI feature called Catch Me Up, which summarizes notifications from select apps.

It’s unclear why Motorola leaned on four different AI providers for a single phone. It probably helps that all these companies are desperate to entice users to bulk up their market share. Perplexity confirmed that no money changed hands in this deal—it’s on Moto phones to acquire more users. That might be tough with Gemini getting priority placement, though.

Perplexity will come to Moto phones after exec testified Google limited access Read More »

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Google reveals sky-high Gemini usage numbers in antitrust case

Despite the uptick in Gemini usage, Google is still far from catching OpenAI. Naturally, Google has been keeping a close eye on ChatGPT traffic. OpenAI has also seen traffic increase, putting ChatGPT around 600 million monthly active users, according to Google’s analysis. Early this year, reports pegged ChatGPT usage at around 400 million users per month.

There are many ways to measure web traffic, and not all of them tell you what you might think. For example, OpenAI has recently claimed weekly traffic as high as 400 million, but companies can choose the seven-day period in a given month they report as weekly active users. A monthly metric is more straightforward, and we have some degree of trust that Google isn’t using fake or unreliable numbers in a case where the company’s past conduct has already harmed its legal position.

While all AI firms strive to lock in as many users as possible, this is not the total win it would be for a retail site or social media platform—each person using Gemini or ChatGPT costs the company money because generative AI is so computationally expensive. Google doesn’t talk about how much it earns (more likely loses) from Gemini subscriptions, but OpenAI has noted that it loses money even on its $200 monthly plan. So while having a broad user base is essential to make these products viable in the long term, it just means higher costs unless the cost of running massive AI models comes down.

Google reveals sky-high Gemini usage numbers in antitrust case Read More »

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Trump can’t keep China from getting AI chips, TSMC suggests

“Despite TSMC’s best efforts to comply with all relevant export control and sanctions laws and regulations, there is no assurance that its business activities will not be found incompliant with export control laws and regulations,” TSMC said.

Further, “if TSMC or TSMC’s business partners fail to obtain appropriate import, export or re-export licenses or permits or are found to have violated applicable export control or sanctions laws, TSMC may also be adversely affected, through reputational harm as well as other negative consequences, including government investigations and penalties resulting from relevant legal proceedings,” TSMC warned.

Trump’s tariffs may end TSMC’s “tariff-proof” era

TSMC is thriving despite years of tariffs and export controls, its report said, with at least one analyst suggesting that, so far, the company appears “somewhat tariff-proof.” However, all of that could be changing fast, as “US President Donald Trump announced in 2025 an intention to impose more expansive tariffs on imports into the United States,” TSMC said.

“Any tariffs imposed on imports of semiconductors and products incorporating chips into the United States may result in increased costs for purchasing such products, which may, in turn, lead to decreased demand for TSMC’s products and services and adversely affect its business and future growth,” TSMC said.

And if TSMC’s business is rattled by escalations in the US-China trade war, TSMC warned, that risks disrupting the entire global semiconductor supply chain.

Trump’s semiconductor tariff plans remain uncertain. About a week ago, Trump claimed the rates would be unveiled “over the next week,” Reuters reported, which means they could be announced any day now.

Trump can’t keep China from getting AI chips, TSMC suggests Read More »

regrets:-actors-who-sold-ai-avatars-stuck-in-black-mirror-esque-dystopia

Regrets: Actors who sold AI avatars stuck in Black Mirror-esque dystopia

In a Black Mirror-esque turn, some cash-strapped actors who didn’t fully understand the consequences are regretting selling their likenesses to be used in AI videos that they consider embarrassing, damaging, or harmful, AFP reported.

Among them is a 29-year-old New York-based actor, Adam Coy, who licensed rights to his face and voice to a company called MCM for one year for $1,000 without thinking, “am I crossing a line by doing this?” His partner’s mother later found videos where he appeared as a doomsayer predicting disasters, he told the AFP.

South Korean actor Simon Lee’s AI likeness was similarly used to spook naïve Internet users but in a potentially more harmful way. He told the AFP that he was “stunned” to find his AI avatar promoting “questionable health cures on TikTok and Instagram,” feeling ashamed to have his face linked to obvious scams.

As AI avatar technology improves, the temptation to license likenesses will likely grow. One of the most successful companies that’s recruiting AI avatars, UK-based Synthesia, doubled its valuation to $2.1 billion in January, CNBC reported. And just last week, Synthesia struck a $2 billion deal with Shutterstock that will make its AI avatars more human-like, The Guardian reported.

To ensure that actors are incentivized to license their likenesses, Synthesia also recently launched an equity fund. According to the company, actors behind the most popular AI avatars or featured in Synthesia marketing campaigns will be granted options in “a pool of our company shares” worth $1 million.

“These actors will be part of the program for up to four years, during which their equity awards will vest monthly,” Synthesia said.

For actors, selling their AI likeness seems quick and painless—and perhaps increasingly more lucrative. All they have to do is show up and make a bunch of different facial expressions in front of a green screen, then collect their checks. But Alyssa Malchiodi, a lawyer who has advocated on behalf of actors, told the AFP that “the clients I’ve worked with didn’t fully understand what they were agreeing to at the time,” blindly signing contracts with “clauses considered abusive,” even sometimes granting “worldwide, unlimited, irrevocable exploitation, with no right of withdrawal.”

Regrets: Actors who sold AI avatars stuck in Black Mirror-esque dystopia Read More »

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Gemini 2.5 Flash comes to the Gemini app as Google seeks to improve “dynamic thinking”

Gemini 2.5 Flash will allow developers to set a token limit for thinking or simply disable thinking altogether. Google has provided pricing per 1 million tokens at $0.15 for input, and output comes in two flavors. Without thinking, outputs are $0.60, but enabling thinking boosts it to $3.50. The thinking budget option will allow developers to fine-tune the model to do what they want for an amount of money they’re willing to pay. According to Doshi, you can actually see the reasoning improvements in benchmarks as you add more token budget.

2.5 Flash benchmark

2.5 Flash outputs get better as you add more reasoning tokens.

Credit: Google

2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google

Like 2.5 Pro, this model supports Dynamic Thinking, which can automatically adjust the amount of work that goes into generating an output based on the complexity of the input. The new Flash model goes further by allowing developers to control thinking. According to Doshi, Google is launching the model now to guide improvements in these dynamic features.

“Part of the reason we’re putting the model out in preview is to get feedback from developers on where the model meets their expectations, where it under-thinks or over-thinks, so that we can continue to iterate on [dynamic thinking],” says Doshi.

Don’t expect that kind of precise control for consumer Gemini products right now, though. Doshi notes that the main reason you’d want to toggle thinking or set a budget is to control costs and latency, which matters to developers. However, Google is hoping that what it learns from the preview phase will help it understand what users and developers expect from the model. “Creating a simpler Gemini app experience for consumers while still offering flexibility is the goal,” Doshi says.

With the rapid cadence of releases, a final release for Gemini 2.5 doesn’t seem that far off. Google still doesn’t have any specifics to share on that front, but with the new developer options and availability in the Gemini app, Doshi tells us the team hopes to move the 2.5 family to general availability soon.

Gemini 2.5 Flash comes to the Gemini app as Google seeks to improve “dynamic thinking” Read More »

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Elon Musk wants to be “AGI dictator,” OpenAI tells court


Elon Musk’s “relentless” attacks on OpenAI must cease, court filing says.

Yesterday, OpenAI counter-sued Elon Musk, alleging that Musk’s “sham” bid to buy OpenAI was intentionally timed to maximally disrupt and potentially even frighten off investments from honest bidders.

Slamming Musk for attempting to become an “AGI dictator,” OpenAI said that if Musk’s allegedly “relentless” yearslong campaign of “harassment” isn’t stopped, Musk could end up taking over OpenAI and tanking its revenue the same way he did with Twitter.

In its filing, OpenAI argued that Musk and the other investors who joined his bid completely fabricated the $97.375 billion offer. It was allegedly not based on OpenAI’s projections or historical performance, like Musk claimed, but instead appeared to be “a comedic reference to Musk’s favorite sci-fi” novel, Iain Banks’ Look to Windward. Musk and others also provided “no evidence of financing to pay the nearly $100 billion purchase price,” OpenAI said.

And perhaps most damning, one of Musk’s backers, Ron Baron, appeared “flustered” when asked about the deal on CNBC, OpenAI alleged. On air, Baron admitted that he didn’t follow the deal closely and that “the point of the bid, as pitched to him (plainly by Musk) was not to buy OpenAI’s assets, but instead to obtain ‘discovery’ and get ‘behind the wall’ at OpenAI,” the AI company’s court filing alleged.

Likely poisoning potential deals most, OpenAI suggested, was the idea that Musk might take over OpenAI and damage its revenue like he did with Twitter. Just the specter of that could repel talent, OpenAI feared, since “the prospect of a Musk takeover means chaos and arbitrary employment action.”

And “still worse, the threat of a Musk takeover is a threat to the very mission of building beneficial AGI,” since xAI is allegedly “the worst offender” in terms of “inadequate safety measures,” according to one study, and X’s chatbot, Grok, has “become a leading spreader of misinformation and inflammatory political rhetoric,” OpenAI said. Even xAI representatives had to admit that users discovering that Grok consistently responds that “President Donald Trump and Musk deserve the death penalty” was a “really terrible and bad failure,” OpenAI’s filing said.

Despite Musk appearing to only be “pretending” to be interested in purchasing OpenAI—and OpenAI ultimately rejecting the offer—the company still had to cover the costs of reviewing the bid. And beyond bearing costs and confronting an artificially raised floor on the company’s valuation supposedly frightening off investors, “a more serious toll” of “Musk’s most recent ploy” would be OpenAI lacking resources to fulfill its mission to benefit humanity with AI “on terms uncorrupted by unlawful harassment and interference,” OpenAI said.

OpenAI has demanded a jury trial and is seeking an injunction to stop Musk’s alleged unfair business practices—which they claimed are designed to impair competition in the nascent AI field “for the sole benefit of Musk’s xAI” and “at the expense of the public interest.”

“The risk of future, irreparable harm from Musk’s unlawful conduct is acute, and the risk that that conduct continues is high,” OpenAI alleged. “With every month that has passed, Musk has intensified and expanded the fronts of his campaign against OpenAI, and has proven himself willing to take ever more dramatic steps to seek a competitive advantage for xAI and to harm [OpenAI CEO Sam] Altman, whom, in the words of the president of the United States, Musk ‘hates.'”

OpenAI also wants Musk to cover the costs it incurred from entertaining the supposedly fake bid, as well as pay punitive damages to be determined at trial for allegedly engaging “in wrongful conduct with malice, oppression, and fraud.”

OpenAI’s filing also largely denies Musk’s claims that OpenAI abandoned its mission and made a fool out of early investors like Musk by currently seeking to restructure its core business into a for-profit benefit corporation (which removes control by its nonprofit board).

“You can’t sue your way to AGI,” an OpenAI blog said.

In response to OpenAI’s filing, Musk’s lawyer, Marc Toberoff, provided a statement to Ars.

“Had OpenAI’s Board genuinely considered the bid, as they were obligated to do, they would have seen just how serious it was,” Toberoff said. “It’s telling that having to pay fair market value for OpenAI’s assets allegedly ‘interferes’ with their business plans. It’s apparent they prefer to negotiate with themselves on both sides of the table than engage in a bona fide transaction in the best interests of the charity and the public interest.”

Musk’s attempt to become an “AGI dictator”

According to OpenAI’s filing, “Musk has tried every tool available to harm OpenAI” ever since OpenAI refused to allow Musk to become an “AGI dictator” and fully control OpenAI by absorbing it into Tesla in 2018.

Musk allegedly “demanded sole control of the new for-profit, at least in the short term: He would be CEO, own a majority equity stake, and control a majority of the board,” OpenAI said. “He would—in his own words—’unequivocally have initial control of the company.'”

At the time, OpenAI rejected Musk’s offer, viewing it as in conflict with its mission to avoid corporate control and telling Musk:

“You stated that you don’t want to control the final AGI, but during this negotiation, you’ve shown to us that absolute control is extremely important to you. … The goal of OpenAI is to make the future good and to avoid an AGI dictatorship. … So it is a bad idea to create a structure where you could become a dictator if you chose to, especially given that we can create some other structure that avoids this possibility.”

This news did not sit well with Musk, OpenAI said.

“Musk was incensed,” OpenAI told the court. “If he could not control the contemplated for-profit entity, he would not participate in it.”

Back then, Musk departed from OpenAI somewhat “amicably,” OpenAI said, although Musk insisted it was “obvious” that OpenAI would fail without him. However, after OpenAI instead became a global AI leader, Musk quietly founded xAI, OpenAI alleged, failing to publicly announce his new company while deceptively seeking a “moratorium” on AI development, apparently to slow down rivals so that xAI could catch up.

OpenAI also alleges that this is when Musk began intensifying his attacks on OpenAI while attempting to poach its top talent and demanding access to OpenAI’s confidential, sensitive information as a former donor and director—”without ever disclosing he was building a competitor in secret.”

And the attacks have only grown more intense since then, said OpenAI, claiming that Musk planted stories in the media, wielded his influence on X, requested government probes into OpenAI, and filed multiple legal claims, including seeking an injunction to halt OpenAI’s business.

“Most explosively,” OpenAI alleged that Musk pushed attorneys general of California and Delaware “to force OpenAI, Inc., without legal basis, to auction off its assets for the benefit of Musk and his associates.”

Meanwhile, OpenAI noted, Musk has folded his social media platform X into xAI, announcing its valuation was at $80 billion and gaining “a major competitive advantage” by getting “unprecedented direct access to all the user data flowing through” X. Further, Musk intends to expand his “Colossus,” which is “believed to be the world’s largest supercomputer,” “tenfold.” That could help Musk “leap ahead” of OpenAI, suggesting Musk has motive to delay OpenAI’s growth while he pursues that goal.

That’s why Musk “set in motion a campaign of harassment, interference, and misinformation designed to take down OpenAI and clear the field for himself,” OpenAI alleged.

Even while counter-suing, OpenAI appears careful not to poke the bear too hard. In the court filing and on X, OpenAI praised Musk’s leadership skills and the potential for xAI to dominate the AI industry, partly due to its unique access to X data. But ultimately, OpenAI seems to be happy to be operating independently of Musk now, asking the court to agree that “Elon’s never been about the mission” of benefiting humanity with AI, “he’s always had his own agenda.”

“Elon is undoubtedly one of the greatest entrepreneurs of our time,” OpenAI said on X. “But these antics are just history on repeat—Elon being all about Elon.”

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.

Elon Musk wants to be “AGI dictator,” OpenAI tells court Read More »

google-announces-faster,-more-efficient-gemini-ai-model

Google announces faster, more efficient Gemini AI model

We recently spoke with Google’s Tulsee Doshi, who noted that the 2.5 Pro (Experimental) release was still prone to “overthinking” its responses to simple queries. However, the plan was to further improve dynamic thinking for the final release, and the team also hoped to give developers more control over the feature. That appears to be happening with Gemini 2.5 Flash, which includes “dynamic and controllable reasoning.”

The newest Gemini models will choose a “thinking budget” based on the complexity of the prompt. This helps reduce wait times and processing for 2.5 Flash. Developers even get granular control over the budget to lower costs and speed things along where appropriate. Gemini 2.5 models are also getting supervised tuning and context caching for Vertex AI in the coming weeks.

In addition to the arrival of Gemini 2.5 Flash, the larger Pro model has picked up a new gig. Google’s largest Gemini model is now powering its Deep Research tool, which was previously running Gemini 2.0 Pro. Deep Research lets you explore a topic in greater detail simply by entering a prompt. The agent then goes out into the Internet to collect data and synthesize a lengthy report.

Gemini vs. ChatGPT chart

Credit: Google

Google says that the move to Gemini 2.5 has boosted the accuracy and usefulness of Deep Research. The graphic above shows Google’s alleged advantage compared to OpenAI’s deep research tool. These stats are based on user evaluations (not synthetic benchmarks) and show a greater than 2-to-1 preference for Gemini 2.5 Pro reports.

Deep Research is available for limited use on non-paid accounts, but you won’t get the latest model. Deep Research with 2.5 Pro is currently limited to Gemini Advanced subscribers. However, we expect before long that all models in the Gemini app will move to the 2.5 branch. With dynamic reasoning and new TPUs, Google could begin lowering the sky-high costs that have thus far made generative AI unprofitable.

Google announces faster, more efficient Gemini AI model Read More »

google’s-ai-mode-search-can-now-answer-questions-about-images

Google’s AI Mode search can now answer questions about images

Google started cramming AI features into search in 2024, but last month marked an escalation. With the release of AI Mode, Google previewed a future in which searching the web does not return a list of 10 blue links. Google says it’s getting positive feedback on AI Mode from users, so it’s forging ahead by adding multimodal functionality to its robotic results.

AI Mode relies on a custom version of the Gemini large language model (LLM) to produce results. Google confirms that this model now supports multimodal input, which means you can now show images to AI Mode when conducting a search.

As this change rolls out, the search bar in AI Mode will gain a new button that lets you snap a photo or upload an image. The updated Gemini model can interpret the content of images, but it gets a little help from Google Lens. Google notes that Lens can identify specific objects in the images you upload, passing that context along so AI Mode can make multiple sub-queries, known as a “fan-out technique.”

Google illustrates how this could work in the example below. The user shows AI Mode a few books, asking questions about similar titles. Lens identifies each individual title, allowing AI Mode to incorporate the specifics of the books into its response. This is key to the model’s ability to suggest similar books and make suggestions based on the user’s follow-up question.

Google’s AI Mode search can now answer questions about images Read More »