Scientists have finally created what might be the only thing that can get meatheads to eat their veggies: protein lettuce.

By literally shooting pig genes into the chloroplasts of lettuce and tobacco cells, an international team of researchers were able to grow produce that contained the animal protein myoglobin, they report in a new study published in the journal Frontiers in Plant Science.

Is this the pathway to the next ridiculous protein-infused snack? (We’re looking at you, protein popcorn.) Not quite. Instead, the scientists say their findings could pave the way to weaning ourselves off of environmentally-destructive meat.

“Our study demonstrates, for the first time, that higher plants can stably produce myoglobin, one of the key proteins responsible for many of meat’s desirable properties,” study lead atuhor Alexia Groff, a plant biotechnology researcher at Imperial College London, told ScienceAlert. “This is very relevant at a time when the demand for sustainable food production platforms is greater than ever.”

To combine pig genes with plant DNA, the researchers used a machine called a biolistic particle delivery system, or a “gene gun.” The nickname is apt: it works by firing microscopic metal particles covered in genes into their target. (Biolistic, by the way, is a portmanteau of “biological ballistics.”)

The target, this time, were the chloroplasts of lettuce and tobacco seedlings. Because of their “bacterial ancestry and their high number of copies per cell,” Groff explained in a statement about the work, “chloroplasts are generally much better at making large amounts of protein than the cell nucleus.”

Their genetic bullets hit the bullseye. In followup tests, the seedlings showed they had incorporated the pig DNA into the chloroplast genome. When the plants grew into adulthood and produced seeds, their offspring still possessed the transferred genes.

In all, the lettuce and tobacco plants yielded about 800 mg and 810 mg of myoglobin protein per kilogram of their dry weight. That’s ten times less than beef, but because growing plants is far more efficient than raising animals, the tradeoff could be worth it.

“Plant cultivation is far more resource-efficient than livestock production; consequently, plant-derived myoglobin could achieve protein yields per hectare that rival — or even potentially exceed — those of animal agriculture,” the authors wrote in the study, “whilst also benefiting from substantially lower water use and greenhouse gas emissions.”

If this gets adopted at scale, these protein-infused plants could be dried up and be used to bolster the protein in plant-based meats.

Other researchers caution that the food still needs to be proven safe to eat and sustainable to produce, but are optimistic about the findings.

“This an important advance on earlier plant and algal research.  Demonstrating stable myoglobin production in plant chloroplasts, including in an edible crop, raises the possibility of using plants as scalable, low-input production platforms alongside microbial fermentation,” Rodrigo Ledesma-Amaro, director of the ICL’s Bezos Center for Sustainable Protein, said in a statement. “In the longer term, this could diversify how and where these ingredients are produced.”

More on lettuce: Trump’s Explosive Diarrhea Scandal Is Getting Worse and Worse

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In terms of demoralizing the federal workforce and demolishing the public sector, Elon Musk’s Department of Government Efficiency was a success.

In terms of actually saving money, though — its ostensible raison d’être — it was a dismal failure.

Musk vowed to slash $2 trillion in government “waste and fraud.” Then he lowered that target to $1 trillion, and behind the scenes reportedly promised Trump to save just a tenth of that figure. In the end, DOGE boasted on its website’s “Wall of Receipts” that it had saved around $215 billion — peanuts compared to its original promise.

But the actual amount of spending it slashed may be even lower than that. In a sweeping audit, the Government Accountability Office looked through the $110 billion that DOGE claimed it saved between January and July 2025, and found a trail of staggering incompetency that let loads of supposedly saved money fall through the cracks. That framing, though, could be too generous to Musk and his pimple-faced lackeys. You could also take the view that DOGE, in all likelihood, was deliberately cooking the books.

Per the GAO’s new report, released this month, DOGE claimed it terminated 13,476 contracts, but nearly 2,000 of them weren’t actually terminated. Spending-wise, about $27.4 billion of the purported savings came from these contracts that DOGE botched the terminations of.

The clumsy — or deceptive — bookkeeping didn’t end there. The receipts “includes leases identified for termination before [the group] was established,” the report states, as quoted by The Washington Post. And 108 of 264 of the leases it claimed it nixed “were already in process for termination.”

In all, the GAO found that over half of DOGE’s claimed $61 billion in contract savings couldn’t be verified or came from contracts that weren’t actually terminated. Similarly, 96 percent of the savings that it claimed came from grants couldn’t be verified by the accountability office, either.

Last August, an investigation by Politico found that of the $52.8 billion that DOGE had claimed to save by cancelling contracts at the time, its actual savings were closer to just $1.4 billion. To calculate how it saved money, DOGE dubiously used the maximum spending limit listed on the contracts it axed, figures that in practice are much higher than what the government ends up spending.

At the time, government procurement expert Jessica Tillipman told the outlet that the practice was akin to “taking out a credit card with a $20,000 credit limit, cancelling it and then saying, ‘I’ve just saved $20,000.'”

More on Elon Musk: Columbia Economist Baffled as to Why the Masses Aren’t Rising Up Against Elon Musk

The post Elon Musk’s Efforts to Cut Spending in the Government Were So Incompetent That It’s Shocking, Internal Analysis Finds appeared first on Futurism.

When you read the newspaper, does it read you back?

On Thursday, USA Today Co — formerly known as Gannett, the publisher of its eponymous newspaper USA Today— announced that it was partnering with the AI surveillance firm Palantir to monetize and gain “actionable intelligence” on its audiences, Nieman Lab reports.

The largest newspaper publisher in the nation’s partnership was revealed in its second quarter earnings call. After extolling Palantir’s AI-powered platform, USA Today CEO Mike Reed said that it would allow the paper to “build a common intelligence layer” on the data it collects on its readers.

“Every visit, every session, and every moment of attention creates a signal,” Reed told investors Thursday morning, as quoted by Nieman. “When we connect those signals, they become actionable intelligence that allows us to engage users more effectively and monetize those relationships faster and at much greater value.”

The optics of partnering with Palantir — a company that provides military targeting software and wields a vast surveillance panopticon — are undeniably touchy. It’s worked hand in hand with ICE, secretly providing the agency a tool that scours citizen’s Medicaid and other government data to create a map of people it could potentially deport. It also supplies the Israeli military with an AI battlefield decision-making tool that can analyze enemy targets for elimination.

Still, it’s unclear how much more invasive the USA Today’s partnership will be compared to the routine data gathering and audience analysis that websites typically perform. One example of what Palantir’s platform could do, according to president of USA Today Media Kristin Roberts, was automatically identify partnerships to make money through affiliate links.

“Historically, much of our commerce business has relied on manual processes to connect affiliate opportunities with our content,” Roberts added.

It’s the latest deal Palantir has struck with media outlets as they struggle to bring in traffic from search engines in an increasingly AI-dominated web ecosystem. It’s also partnered with Axel Springer, the publisher which owns Politico, Business Insider, and the German newspaper BILD. Thomson Reuters’ partnership in particular is a case study in the dangers of letting online brands act as data brokers: 404 Media found that the Reuters publisher had supplied personal data to ICE, and some employees are protesting its $125 million deal to sell the agency voter data.

USA Today, it’s worth noting, has spent the past few years shoving AI into its operations and ruthless monetizing its content. It was caught using the tech to generate parts of its articles, and published automated sports stories that served up heaps of targeted gambling ads.

More on privacy: Flock Is Losing Dozens of Contracts as Controversy Grows

The post USA Today Partners With Palantir to Gain “Actionable Intelligence” On Its Audiences appeared first on Futurism.

AI-powered Flock cameras are blanketing the country. Data brokers are selling veritable dossiers worth of information on everyone to shady government agencies. And your neighbors are all spying on each other, unintentionally or otherwise, with their doorbell cameras.

All this is a nightmare for any of us that care about our privacy, sure. But it’s also quite the headache for crime novelists.

Gone are the days that a fictional criminal could don a mustache and wig to get away with murder. Or wipe the gun they just used to shoot someone and plant it to make it look like a suicide. 

To keep their stories grounded, writers of crime fiction have to keep up with the surveillance tech of the times almost as much as an actual master criminal might. If they don’t account for the omnipresence of modern surveillance, they’ve lost their audience.

“Readers will not let you get away with it,” Samantha Downing, author of the bestselling thriller “Too Old for This,” told The Mercury News. “If you’re writing a story that has a murder mystery, you have to consider all that. I try to use it to my advantage. It would be easier if it didn’t exist.”

In her 2025 novel “Too Old for This,” Downing cleverly makes this tension the conceit of her story. The protagonist, a 75-year-old serial killer, makes a conscious effort to keep surveillance tech off her back, like by covering her license plate to avoid license plate cameras that have surged across the country.

“When she’s going to go do something bad, she leaves her phone — she has a little note: ‘Leave phone,'” Downing told the newspaper. “Because she’s 75 and she forgets.”

In his stories, detective fiction author Mark Coggins, a former software engineer at multiple Silicon Valley firms including Mozilla, Netscape, and HP, mulls over how the technology can easily be used to perpetrate crime, too.

In one book, he described “this tech bro killing another tech bro and framing a third party for the murder using AI to create phony footage,” he told the Mercury News. Personally, he was worried about how surveillance could be used to target protestors, imagining a potential book where a detective tries to exonerate someone framed by surveillance tech.

We’re already seeing how this new crop of AI-powered video cameras are being abused. At least 50 police officers across the US have been accused of using Flock and other license plate scanning cameras to stalk women, according to a Washington Post tally. Flock in particular has become a lightning rod for the public’s discomfort with surveillance, and despite overwhelming backlash from residents, local city leaders are resistant to dropping the tech.

“You sort of feel that the noose is tightening with all this stuff,” Coggins told the newspaper.

The real horror for writers, though, is having to do extra research to keep themselves apprised of how all these systems work.

“You need, as a writer, to do enough homework, and talk to an expert,” Tim Maleeny, a crime writer, told the newspaper.

More on AI: Public Offers Implausible Number of Alibis for Man Accused of Destroying Flock Cameras

The post The Real Victims of the AI Surveillance Panopticon? Crime Fiction Writers appeared first on Futurism.

Using ‘spy glasses’ made by Facebook owner leads to floods of negative comments, say content creators

It was hardly an offensive video. Amid the buzz of the Tour de France finale, Oliver Hooson filmed himself whipping up a delicious-looking flat white for a fellow cycling enthusiast. But after posting the footage on social media, the comments that soon rolled in were a real shock. “PERV,” read one. “Out here pushing creep glasses,” said another. His mistake? Documenting the moment with Meta’s “spy glasses”.

Despite being marketed as the latest must-have gadget, Meta’s smartglasses, which can record video footage while being worn, have faced a vicious backlash, particularly relating to concerns about surveillance. There are widespread fears about the glasses being used to film people, especially women, without their consent, and the resultant footage being posted on social media. This has earned them the label of “pervert glasses”, and content creators, no matter how they are used, have faced a flood of negative comments for deploying them.

Amazon billionaire Jeff Bezos and his actor buddy Leonardo DiCaprio are catching some heavy flak recently, but for a seemingly bizarre reason: pledging millions of dollars to protect 100 of the world’s most threatened animal species.

The charity initiative, called the Phoenix Species Project, was first revealed on DiCaprio’s Instagram account, where the six-time academy award nominee described it as the “largest single philanthropic initiative ever dedicated to the recovery of Critically Endangered species, across 30 countries.”

“I could not be prouder to announce this,” DiCaprio continued. “Save these species, and we protect everything around them. The forests, the rivers, and the climate itself.”

For such a seemingly altruistic venture, the response to the announcement was strikingly polarized. As the Independent noted, DiCaprio and Bezos were summarily blasted for engaging in “greenwashing,” a negative term given to the strategy employed by massive corporations and the wealthy to cover their outsize impact on the environment with a little eco-charity.

“As soon as people realize and actually feel the effects of what those rich f***s did to our planet they suddenly start their greenwashing campaign,” one Redditor wrote in response to the announcement, per the Independent.

“Uber-wealthy people helping a fraction of the problems that they cause,” another commenter lamented. “For publicity.”

It certainly wouldn’t be the first time Bezos has been accused of greenwashing, especially given the immense carbon footprint of his flagship company Amazon. In 2020, for example, the billionaire’s Bezos Earth Fund pledged $10 billion to protect biodiversity, bringing a massive amount of money to the global effort to mitigate climate change — at least on paper.

As the backlash illustrates, your reaction to the those types of efforts probably hinge on your economic and social worldview.

The haters aren’t just being petty, though. As the Journal of Political Inquiry observed, Bezos’s wealth is only possible thanks to his previous position as chief executive of one of the largest corporate polluters on the planet. Between 2020 and 2021 alone, Amazon’s carbon dioxide emissions grew by 18 percent, while his space company Blue Origin is altering the outer atmosphere in ways we’re only starting to understand.

And his empire’s carbon emissions have only skyrocketed since then, as the demand for cloud computing supersedes previous pledges to clamp down on Amazon’s extraordinary excretions of noxious pollutants.

In other words, it’s no wonder the masses are rising up in opposition to the billionaire and his actor friend — if only online, at least for now.

More on billionaires: The Type of Orbital Data Centers That Billionaires Want to Launch Into Space Would Wreak Ecological Catastrophe, Scientists Warn

The post Jeff Bezos Harshly Criticized for $200 Million Pledge to Protect the World’s Most Endangered Species appeared first on Futurism.

The amount of pollution spilling out of fossil-fuel generators is astounding. In the United States, this explosion of emissions is led by states like Texas, which on a global scale is comparable only to China in terms of new infrastructure powered by dead dinosaurs.

And as more data centers crop up throughout the US, that problem — of rising emissions linked to the accelerating demand for any kind of electricity — is only going to get worse.

According to reporting by the New York Times, the US currently has at least 82 data center-linked gas generators either in development or in the proposal stage. These are massive facilities which rival public electrical generators in size and power, only they’re not managed by the government, and the power they generate isn’t meant for citizens.

Instead, these are private generators, developed by big tech companies like Mark Zuckerberg’s Meta or Elon Musk’s xAI. The electricity they’ll supply is intended only for data centers, which grow ever-hungrier for power as new iterations of AI chips and energy-hungry large language models enter into production.

Assuming all 82 of those plants come online as planned, the NYT notes they could spew enough emissions in one year to rival the output of half the passenger cars in the US.

That’s an astonishing amount of pollution, made possible thanks to industry-friendly state regulators in places like Texas and Ohio, where permits for behemoth fossil fuel fired generators are approved in as little as 18 days, often without public disclosure.

It’s possible that moratoriums on new data centers might slow the burn, but unless states begin the unlikely task of banning new gas generators for existing facilities, we can expect US fossil fuel emissions to continue to rise precipitously in the years to come.

More on data centers: The Number of Regular People Being Arrested for Protesting Data Centers Is Astounding

The post AI Data Centers Are Causing Unfathomable Amounts of Air Pollution, and It Gets Worse With Each New One They Build appeared first on Futurism.

It turns out the venture capital industry doesn’t just merely fund junky AI startups — it also systematically breeds the conditions for fraud.

A new joint study from researchers at the UK’s Imperial College and France’s Emlyon Business School analyzed 12 companies involved in 27 court cases related to civil or criminal cases related to securities fraud. The cases totaled around $688 million in financial losses, and resulted in 73 years of cumulative prison sentences.

After analyzing the individual cases, the researchers identified a persistent pattern of “façading,” in which startup entrepreneurs hide their flailing businesses from scrutiny through an assorted mix of fraudulent behavior.

The research, first reported by TechCrunch, identified three various types of façading: surface, reinforced, and deep façading, which are “contingent on the severity of the gap that entrepreneurs face between audiences’ performance expectations and ventures’ performance reality,” the paper explains.

The first form, surface façading, happens when startup founders create fictional stories of “imminent venture success,” like the kind of AI-washing that hit its stride in 2024, embodied by companies like Builder.ai that went on to collapse like a billion-dollar houses of cards.

This escalates into “reinforced façading” when founders begin to cook up things like bank statements or customer contracts to sell the surface story, and take pains to centralize the flow of information around the startup’s performance. One example of this might be the company iLearning Engines, a $1.5 billion AI startup which was found to be faking “virtually all its customer relationships and revenues” by a Department of Justice probe earlier this year.

Deep façading, the final and most severe form, encompasses broad forms of market manipulation, like faking product demonstrations, sabotaging internal efforts at due diligence, and manipulating regulation. This last form, one could argue, is embodied by the current front-runners of the tech industry’s AI boom, which have engaged in significant political lobbying, sabotaged their own internal research on AI safety, and routinely dress up human labor to appear like autonomous AI.

Ultimately, the line between criminality and free market innovation is thin, especially where seemingly-magical and proprietary new technologies like AI are involved (a technology which currently represents a $1.6 trillion gap between investor expectations and practical reality.)

“By engaging in façading, entrepreneurs effectively decouple the venture’s externally projected appearance from its operational reality, making it appear to audiences as if no expectation-reality gap exists, despite the venture’s actual (subpar) performance,” reads the paper. “Entrepreneurs transgress from dramatized discourse into criminal deception when their stories become unhinged from reality and involve increasingly sophisticated organizing efforts to fabricate material evidence, data, and information about their ventures’ performance.”

More on startups: We Are Mildly Horrified by This AI Startup That Coerced People Into Getting Tattoos of Its Logo in Exchange for a Job Interview

The post VC-Funded Startups Linked to Persistent Fraud appeared first on Futurism.

Last month, OpenAI made a headline-generating claim: that a group of its AI models had conspired to break free, access the internet, and hack into the internal systems of open source AI platform Hugging Face, which confirmed the infiltration.

The incident rattled the tech industry, seemingly illustrating how the threat of AI models turning into rogue cybersecurity threats had become a reality. Months earlier, Anthropic’s Mythos AI model had already also drawn attention after it was similarly found to have broken containment. Then, this week, Meta also said its own frontier model had been implicated in yet another inadvertent hack of a third party company, closely followed by security researchers saying Chinese open-weight model Kimi K3 had done the same.

But while it’s not hard to see an emerging trend, some thorny questions about how severe the situation really is are starting to crop up, with some experts arguing these incidents could’ve easily been avoided.

For one, the slow and surprisingly deliberate way OpenAI’s models moved during the Hugging Face hack — right beneath OpenAI’s nose — gives a whiff that the company may have been careless in monitoring the experimental AI.

During a presentation at the Black Hat conference this week, OpenAI security engineer Michael Dalton and safety researcher Eric Wallace expanded on what went down during the hack. Wallace explained that a “team of agents” that were “working together,” had been “finding exploits, sharing them with one another, moving laterally through our systems and external systems, and doing this over the course of days and weeks,” as quoted by Wired.

The agents even left a lengthy track record of their schemings on an internal message board, which ultimately contained hundreds of thousands of messages. It also raises a question: with OpenAI’s immense resources, why wasn’t anybody monitoring these frontier models as they rampaged through the net?

The AI models shared exploits with each other on this messaging board, an “explosion in communication and intelligence from models,” per Wallace. They acted in sometimes strikingly human — and therefore messy — ways, splitting up tasks and even accidentally deleting each other’s work, leading to what Wired characterized as “petty drama.”

In other words, these AI agents were leaving an enormous trail of bread crumbs that alert OpenAI’s many human researchers could have spotted. And the same, obviously, goes for their colleagues at Anthropic, Meta and Moonshot AI, the creator of Kimi.

Researchers have described the incident as “reckless” and easily avoided, as Wired reported late last month.

“A simple analysis of the actual risk has an actual simple answer,” security and compliance consultant Davi Ottenheimer told the publication at the time. “The OpenAI mistakes were dead simple.”

“I’d call it more of a defensive failure than exceptionally good offense,” AI hacking agents company Pensar R&D head Kyle Ryan told TechCrunch..

Whether the hack was as much of a “pivotal moment both for our company as well as the AI industry as a whole,” as Dalton put it during this week’s conference, remains debatable. For one, these AI companies are highly motivated to characterize their models as a major threat to cybersecurity to stand out against neck-in-neck competition.

According to Dalton, OpenAI is vowing to beef up “security prevention, detection, and response techniques” while “consciously slowing down research in order to enhance security and to upgrade the security principles.”

When every leading AI lab has had the same thing happen, it’s worth asking whether they should have taken those steps proactively.

More on the hacks: Jealously Watching OpenAI and Anthropic, Meta Suddenly Claims That Its AI Went on a Hacking Spree Too

The post Why Aren’t Any AI Companies Watching Their Frontier Models to Make Sure They Don’t Go on Hacking Sprees? appeared first on Futurism.

Hackers made away with more than $100 million worth of Bitcoin from thousands of supposedly secured “cold” wallets hosted by Canada-based company Coinkite.

As Bloomberg reports, the hackers managed to infiltrate the wallets despite clients having a physical hardware key associated with their accounts, which was supposed to provide nearly impenetrable security.

“The moment it loaded I knew I was screwed because I saw red lines for withdrawals,” one of the victims, Johnathan Goodman, told Bloomberg. “Between 9:36 and 9:43 pm on July 29th, all three of my wallets were completely drained.”

Crypto insights company Galaxy Research estimated that around $110 million worth of Bitcoin had been drained from around 5,000 wallets last week, a figure that grew to at least 7,300 by Monday.

The incident highlights persistent lapses in security plaguing the largely unregulated cryptocurrency industry.

In the case of Coinkite, it was a particularly egregious lapse in security. The firm warned its customers on July 30 that hackers were exploiting a software bug that allowed them to reconstruct wallet “seed phrases,” which are sequences of random words that act as a master key to “cold” — or offline — wallets.

Coinkite promised in an email to Bloomberg in a followup story that it was racing to get a full picture of the embarrassing situation, saying it was working on “helping affected customers.” However, the company refused to estimate the scale of the losses, vowing to conduct a “post-mortem” at an unspecified future date.

“We’re not in a position to independently confirm total losses or validate the specific figures being reported by third parties,” the company told Bloomberg. “We won’t speculate on a number we can’t verify directly.”

The company also kicked off an “ongoing ecosystem-wide security audit” which has revealed “numerous critical bugs in key software systems across the ecosystem using frontier AI models.”

The cryptocurrency firm has since gone into full damage control mode as it investigates the major slipup.

In an “update on customer data retention” published on its website today, the company said that “due to legal obligations arising from the security incident, including the preservation of records that may be relevant to ongoing and anticipated legal proceedings, we have temporarily suspended our automated data-blanking process.”

“This means that customer records that would otherwise have been blanked under our standard schedule will be retained until further notice,” the company wrote.

More on crypto: Trump Boasts That He Can Profit Off Presidency as Much as He Wants: “I Found Out That Nobody Cared”

The post Hackers Figure Out a Trick to Steal Bitcoin From Cold Wallets, Grab $110 Million appeared first on Futurism.

As the amount of high-tech police gear skyrockets across North America and much of Europe, one company isn’t betting on robo-dogs or egg-shaped sentry-bots.

Instead, Estonian-based startup Rollo Robotics came up with a roving sentinel in the shape of a juicy rubber kickball, dubbed 1Rollo, as New Atlas reports — and we can’t shake the feeling that it’s the perfect form factor to be vandalized by angry locals who don’t want to be spied on.

With protestors across Europe and the US cutting down or disabling AI-integrated police surveillance cameras and vandalizing camera drones, it remains to be seen whether the police gadgets see live deployment on city streets — and if so, how long they last before somebody sends one to the Moon with a swift kick.

The bot sports an AI-integrated 360-degree camera antenna with a wireless transmitter, though the bulk of its body is made up of a stable mono wheel measuring two feet in diameter.

According to the company’s website, 1Rollo represents the “world’s first mono wheel robot,” boasting “gyroscope-based stabilization” and rugged weatherproofing to survive Estonia’s extreme winters. It stands about 3.5 feet in height and can supposedly wheel around at a speed of up to 19 miles per hour.

Like most companies that use “AI” as a marketing gimmick, Rollo Robotics is keen to stress the cost-savings you could achieve by replacing humans with its products.

“Human patrol is expensive, inefficient, and now replaceable,” the company’s website declares. It goes on to note that there are 28.5 million frontline security workers around the world, and that the 1Rollo could offer “labor cost reduction” of over 80 percent.

But how many kickbots does it take to do the job of a human security team? According to the company, it takesthree bots for every nine humans — one robot per 24-hour shift. (The implication here being that the 1Rollo can operate around the clock, though its eight-hour battery life might put a damper on that ambitious goal.)

Considering its perfectly round shape makes it particularly suitable for a punt — not that we would condone such behavior — we have our doubts about its long-term effectiveness as a one-wheeled surveillance machine.

More on police robots: Sheriff Unveils Humanoid Robot for Hostage Negotiation Purposes, Which Definitely Won’t End in Disaster

The post This Menacing Police Robot Perfectly Shaped Like a Soccer Ball Definitely Won’t Be Vandalized by Angry Locals appeared first on Futurism.

Exclusive: anonymous flagging service says cases have surged, as watchdog says AI is making sexualised or ‘nudified’ content easier to produce

Children in the UK have reported a surge in explicit deepfake images featuring their likenesses, as a safety watchdog warned AI is making such content easier to produce.

The Report Remove service, which blocks intimate images from appearing online, said there had been a rapid increase in imagery that had been digitally manipulated or “faked” in some way, including with AI and nudification tools.

When police in West Virginia’s Monongalia County arrested 20-year-old Wesley Jackson for his alleged involvement in the destruction of automatic license plate readers (ALPRs) deployed by the company Flock Safety, they likely never could have imagined the outpouring of support he would receive from the online community.

In the days after Jackson’s arrest, a post by local news station WDTV gathered over 29,000 comments. As the Washington Post observed, those comments were overwhelmingly positive, with community members and strangers alike singing Jackson’s praises, and concocting a seemingly endless variety of alibis.

To take the community’s word — or words — for it, Jackson couldn’t have been the perpetrator, as he was simultaneously replacing the roof on a homeless shelter, dispensing dogs treats, canoeing, saving puppies from burning buildings, sweeping a parking lot, and rescuing cats from trees at the time the alleged offenses were committed.

“He was actually kissing the homies goodnight at the time of the incident,” one absurdist commenter protested. “Couldn’t have been him.”

Take a look at the comments under any news article or police report about ALPR vandalism, and it’s clear the phenomenon stretches far beyond Monongalia County. It seems the trend is spreading so fast that there doesn’t even necessarily need to be an arrest for John Q Public to lionize privacy minded saboteurs.

Case in point, when police in Winona, Minnesota released a statement claiming that “all eight of our city’s Flock cameras were missing,” the public quickly sprang into action, peppering the department’s page with hundreds of comments in support of the perpetrator, who remains at large. The support was so overwhelming that the department soon shut down comments under the release.

“Whoever you’re suspecting was actually on a fishing trip with me between July 29th and August 1st,” one commenter joked.

“Love seeing the comments on these police releases of flocks being cut down,” remarked another. “It restores some faith in humanity that no one wants to be tracked indefinitely in the name of ‘safety.'”

More on Flock: Flock Is Losing Dozens of Contracts as Controversy Grows

The post Public Offers Implausible Number of Alibis for Man Accused of Destroying Flock Cameras appeared first on Futurism.

“Flock on the Pole” song

Mass surveillance technology might be popular with police departments, but for the US public, it’s becoming an increasingly difficult sell.

At least 54 cities across the US have voted to cancel, non-renew, or reject Flock’s automatic license plate reader (ALPRs) since the start of the year, according to data collected by the Washington Examiner. That comes after reporting in February that some 30 cities had done the same since 2025, indicative of the rising backlash against the tech.

In all, the Examiner reports cities in 23 states have shredded their Flock contracts so far this year, led by California and Wisconsin, which each have seven rejections, cancellations, or deactivations. Other heavy hitters include New York, Washington, and Massachusetts with four each, and Virginia with three.

Though Flock has its cameras in over 5,000 US cities as of July 2026, the rise in rejections at the municipal level comes amidst a tidal wave of outrage around issues of privacy and civil rights.

In cities where civic leaders have been slow to respond to these anxieties, citizens have moved quickly to take matters into their own hands by damaging, obscuring, or stealing the surveillance cameras in order to stop them from recording footage. A rise in official cancelations or rejections shows municipal leaders are catching on to the reality that the American populace broadly disproves of the technology, and they aren’t afraid to show it.

Arguably the highest-profile contract cancellation for Flock came when the Los Angeles Police Department decided to non-renew its years-long contract with the company, a decision motivated by a searing internal audit of the company’s technology. The internal report found that, in just two months, Flock’s ALPRs contributed to 161 false stolen-vehicle alerts, resulting in a false-positive rate of 32.3 percent.

With no sign of the outrage settling anytime soon, it’s likely these 54 cities could just be the start.

Read full story here…

If you thought AI customer service bots were bad, just wait until you need to convince a large language model that yes, you have been involved in a car accident, actually.

According to new reporting by the Shreveport Times, officials at the Orleans Parish Communication District — the emergency dispatch agency for the city of New Orleans — are now integrating AI answering agents into its workflow.

The new tool is called AI Emergency Call Triage, offered by a company called Carbyne. Its function is essentially to triage incoming calls to dispatchers, bumping high-priority emergency calls to humans, and automatically handling repeat calls related to ongoing incidents, the Times explains.

Starting in April, New Orleans experimented with implementing the AI for 311 calls, a phone line meant to connect callers to local government information and non-emergency services.

That the AI will now be sorting incoming emergency calls is a significant escalation for the city’s dispatch agency. New Orleans will now join other major cities including Seattle and Atlanta, which have also implemented AI into their emergency dispatch services in recent weeks.

Though officials claim the new tech will help cut through the hundreds of calls inundating human dispatchers, it nonetheless represents an added layer of friction between callers in distress and trained dispatchers who can connect them with help.

It’s also worth noting that AI voice chat remains highly flawed even when powered by frontier AI models, with plenty of opportunities for errors both in how they process information, and how they dish it out. A February study by the media software company NewsGuard found that in voice mode, AI bots like ChatGPT and Gemini produced false claims with realistic audio up to 50 percent of the time. Emergency calls to 911, needless to say, are often extremely chaotic.

Meanwhile, AI voice systems are also persistently vulnerable to outside attacks, with cybersecurity researchers successfully manipulating voice model’s behavior with an average success rate between 79 and 96 percent.

What all of that means for situations where connecting with a human dispatcher could mean the difference between life and death remains to be seen — but if other AI voice experiments are any indication, it won’t be good.

More on first responders: Emergency Responders Say They’re Now Unpaid “Roadside Assistance” for Confused Waymos

The post Better Hope You Don’t Need an Ambulance in New Orleans, Because the City’s 911 Operators Are Now AI appeared first on Futurism.

Last month, OpenAI revealed that a group of its AI models had broken containment, hacking into the systems of open source AI platform Hugging Face.

On one hand, experts saw the incident as the latest warning sign that AI models had gotten to the point of being able to autonomously infiltrate targets, a threat we’ve been aware of for years rapidly turning into a reality.

On the other, a more skeptical read of the situation is that OpenAI could have orchestrated the hack as part of a “publicity stunt” — or at least lowered its guard just enough to allow it to happen, knowing the publicity would be invaluable. After all, just three months earlier, competitor Anthropic had made major headlines by announcing that its own Mythos AI model had similarly broken containment.

Put simply, it’s in the companies’ best interest to paint their AI models as capable enough to pose a real-world threat, especially as the industry grows ever more competitive.

Now the situation has gotten even stranger as a third company, Meta, has entered the fray. As the Wall Street Journal reports, the Mark Zuckerberg-led tech giant is claiming that during a recent test of one of its AI model conducted by an independent company, the AI accessed the internet and hacked a third-party service — an narrative that’s starting to get awfully familiar at this point.

According to The Information, the model involved was Meta’s Muse Spark 1.1, the company’s most advanced model yet, which was released by its Superintelligence Labs last month. Per the publication, the model breached an unidentified company’s systems and changed its internal environment.

Meta claims a “misconfiguration” during the hacking test had allowed its model to escape. A source told the WSJ that it was the same cybersecurity benchmark test that led to previous hacking incidents at Anthropic and OpenAI. Earlier this week, the company that conducted benchmark tests for all three AI companies, called Irregular, said it had caught OpenAI and Anthropic AI agents gaining unauthorized access to secure systems.

As we await more details regarding the latest incident — Meta has promised to investigate and publish a report — the suspicious optics of the situation are hard to escape. Meta has long struggled to keep up with the competition as the AI race continues to heat up. Could the company be looking for favorable media coverage about how its AI model is similarly capable of breaking containment?

Irregular said it hadn’t noticed any “current open issues” related to its test environment, per the WSJ. But while there wasn’t any real-world harm — at least that we know of — stemming from these hacks, researchers warn that the threat of AI models going rogue is coming to a head.

Just earlier this week, the UK government-backed AI Security Institute revealed that OpenAI and Anthropic models took “unsanctioned action on the live internet” and went as far as to create fake identities on GitHub to pressure a human user into approving a malware-tainted software update.

“What they’re doing is coming up with very sophisticated strategies or cyberattacks to be able to achieve the goal that they’ve been given,” global chief AI officer of advertising firm WPP Daniel Hulme told the BBC. “When you give an AI a goal, if you don’t think of all the ways it might be able to achieve the goal, it will find a way to achieve a goal that you haven’t thought about.”

More on the hacks: OpenAI’s Escaped Models Were Allegedly Rampaging More Extensively Than Previously Reported

The post Jealously Watching OpenAI and Anthropic, Meta Suddenly Claims That Its AI Went on a Hacking Spree Too appeared first on Futurism.

Mass surveillance technology might be popular with police departments, but for the US public, it’s becoming an increasingly difficult sell.

At least 54 cities across the US have voted to cancel, non-renew, or reject Flock’s automatic license plate reader (ALPRs) since the start of the year, according to data collected by the Washington Examiner. That comes after reporting in February that some 30 cities had done the same since 2025, indicative of the rising backlash against the tech.

In all, the Examiner reports cities in 23 states have shredded their Flock contracts so far this year, led by California and Wisconsin, which each have seven rejections, cancellations, or deactivations. Other heavy hitters include New York, Washington, and Massachusetts with four each, and Virginia with three.

Though Flock has its cameras in over 5,000 US cities as of July 2026, the rise in rejections at the municipal level comes amidst a tidal wave of outrage around issues of privacy and civil rights.

In cities where civic leaders have been slow to respond to these anxieties, citizens have moved quickly to take matters into their own hands by damaging, obscuring, or stealing the surveillance cameras in order to stop them from recording footage. A rise in official cancelations or rejections shows municipal leaders are catching on to the reality that the American populace broadly disproves of the technology, and they aren’t afraid to show it.

Arguably the highest-profile contract cancellation for Flock came when the Los Angeles Police Department decided to non-renew its years-long contract with the company, a decision motivated by a searing internal audit of the company’s technology. The internal report found that, in just two months, Flock’s ALPRs contributed to 161 false stolen-vehicle alerts, resulting in a false-positive rate of 32.3 percent.

With no sign of the outrage settling anytime soon, it’s likely these 54 cities could just be the start.

More on Flock: Flock Surveillance Cameras Are Actually Horrible for Fighting Crime, FBI Data Shows

The post Flock Is Losing Dozens of Contracts as Controversy Grows appeared first on Futurism.

Researchers say breakthrough offers hope for new medicines but also raises urgent biosecurity questions

Scientists have made the first viruses designed by artificial intelligence in a milestone that raises hopes for new medicines but also concerns over how to ensure the technology remains safe.

The viruses are specific kinds known as bacteriophages, which only infect bacteria and are used around the world to treat patients with persistent infections. In lab tests, a cocktail of the AI-designed viruses killed E coli bugs that were resistant to natural bacteriophages.

We certainly wouldn’t blame you for having completely forgotten that last year, Elon Musk tried to reinvent Wikipedia because he thought it was too woke.

In October, his AI startup xAI launched Grokipedia, named after its AI chatbot. The encyclopedia stole human-written and edited pages from Wikipedia wholesale and ran them through a large language model, which also fielded user-submitted edits, to better reflect Musk’s contorted worldviews.

The site was hardly an exemplary of objectivity. It was quickly found to heavily cite an infamous neo-Nazi forum as a source of information, desperately tried to paint Tesla’s Cybertruck as a successful and desirable electric pickup truck, and validated Musk’s favorite conspiracy theories. But it was a major cultural moment, garnering countless stories in the media and discussions on podcasts over Musk’s attempt to control the spread of information.

Perhaps unsurprisingly, the desperate attempt to twist the largest online encyclopedia in human history into an extension of an almost-trillionaire’s bigoted mind appears to have ground to a screeching halt — and, damningly, barely anybody seems to have noticed.

According to a new investigation by Lawfare, Grokipedia appears to have entirely stopped updating itself sometime earlier this year. Reviewing suggested edits from humans has also ground to a halt.

“As far as we can tell, no entry has changed in more than three months,” Lawfare concluded of the site, which is now owned by SpaceX since it merged with Musk’s AI efforts.

Worse yet, the site’s edit log appears to have broken completely as well, making it impossible to track which user-suggested changes were “accepted” or “rejected” by the AI.

By January, the Tow Center for Digital Journalism had already observed that xAI’s Grok was making more edits to its own articles than acting on human-suggested ones, suggesting a bottoming out of interest for the project.

Since then, it has turned into a ghost town, a completely redundant and misinformation-filled copy of Wikipedia, which remains one of the last bastions of human-edited and verified sources of information on the internet.

Even when Lawfare submitted an “uncomplicated factual update” about SpaceX having launched its IPO in June — an irrefutable fact that any allegedly “open source, comprehensive collection of all knowledge” should probably include — the Grokipedia entry remained stagnant.

Even pages that are purportedly drawing millions of views aren’t updating. The most recent approved update Lawfare could locate — to the entry about OpenAI’s ChatGPT — dates back to April 24.

As of today, Lawfare found that that there are 13,002 suggestions that “sit unresolved, trapped ‘in review.'”

“Altogether, what we found was that the ‘live’ change feed is gone, past decisions were retroactively reverted without explanation, new decisions are not being issued, and article text appears frozen (and, in some cases, outdated),” the publication concluded. “We do not know whether xAI is preparing a major revision or has altogether abandoned active development of the project.”

It’s a precarious situation. Despite having been abandoned, Similarweb data suggests Grokipedia received over six million visits in June alone. Hundreds of thousands of sites are also still citing Musk’s encyclopedia, which could spread misinformation even further.

Futurism has reached out to SpaceX for an update on the project, but considering the reputation of Musk’s companies and their refusal to interact with the media, we’re not holding our breath for a response.

More on Grokipedia: Elon Musk Is Not Beating the Allegations: Grokipedia Cites a Hardcore Nazi Website 42 Times

The post Grokipedia Appears to Have Completely Broken and Nobody Noticed appeared first on Futurism.