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"These are the first smart glasses guaranteed to never record nude videos of you and send them to random people. I never thought I’d have to guarantee that, but here we are.”
As Meta faces heat for selling artificial intelligence-powered sunglasses that record people without their knowledge, the web browser DuckDuckGo responded with what it called "the world's most innovative anti-surveillance sunglasses"... otherwise known as normal sunglasses.
Meta, the Big Tech behemoth that owns Facebook and Instagram, likely did not expect to become the subject of relentless scorn and mockery over its new line of "Meta Glasses," which retail for upwards of $299 and have been plugged by the likes of Kylie Jenner.
But internet users have saddled the shades with the nickname "pervert glasses." For good reason: among other high-tech bells and whistles, the latest version is equipped with photo and video technology that some of the clientele have used to discreetly film strangers.
As the Los Angeles Times chronicles, some women have been approached by bespectacled creeps only to later find a recording of the encounter posted online, entirely without their consent. Although the glasses have a white light to indicate that recording is in progress, some elite-tier perverts have found ways to disable it.
DuckDuckGo, a company that has billed itself as an alternative to its data-mining, privacy-violating competitors, responded to the backlash against Meta by partnering with the eyewear company Knockaround and selling its own pair of glasses whose primary gimmick is that they do absolutely nothing but sit on your face.
"No camera, no microphone, no AI, no battery, no electronics of any kind," reads the website, "Just a beautifully crafted pair of matte black sunglasses with a glossy DuckDuckGo logo, designed to block the sun and never send data to the cloud."
“We’re obsessed with innovation. So when Big Tech started putting cameras in smart glasses, we asked ourselves a radical question: What if we just didn’t do that?” a July 30 social media post from DuckDuckGo said. “These are the first smart glasses guaranteed to never record nude videos of you and send them to random people. I never thought I’d have to guarantee that, but here we are.”
This was not merely a hyperbolic what-if. It's been reported that Meta's AI glasses have recorded videos of users having sex and using the bathroom that were then viewed by Kenyan subcontractors involved in manually training Meta's AI systems.
Internal documents have also revealed plans by Meta to embed facial recognition technology into the glasses, which dozens of rights groups, including the American Civil Liberties Union, warned "would allow anyone wearing them to identify by name any strangers in their vicinity—including at protests, medical clinics, and businesses."
After being secretly implemented for a brief period without being accessible to consumers, the technology was rolled back. But concerns remain that it could be added again, and there have been growing calls from lawmakers and privacy groups in the US and Europe to ban the glasses.
One British activist group called Everyone Hates Elon has begun a viral guerrilla marketing campaign against the Meta glasses.
One satirical ad, placed at a bus stop in London, shows the infamous sex criminal Jeffrey Epstein wearing the frames, with the tagline "glasses for people who don't do consent" next to the Meta logo.
"These glasses feel like they’re making perverts’ and abusers’ lives easier when we should actually be making women’s lives easier. They are pervert glasses," a spokesperson for the group told The Times of London. "We wanted to use Jeffrey Epstein to highlight who these glasses will be used by, and it’s powerful men and abusers.”
In this environment, it's perhaps not a surprise that DuckDuckGo's tech-free alternative has been a hit. The company said that within a week, the shades, which cost $35 a pair, had sold out.
"Over a year later, I'm still picking up the pieces of my life, all because the police relied on this dangerous technology instead of doing their jobs and actually investigating," said Robert Dillon.
A federal lawsuit filed Wednesday in the Middle District of Florida by a Fort Myers resident wrongfully arrested nearly two years ago highlights the risks of police agencies relying on facial recognition tools.
"This case is about what happens when police let an error-prone artificial intelligence (AI) system stand in for an investigation," explains the complaint, filed by attorneys with the state and national ACLU as well as the firm Hoguet Newman Regal & Kenney. "A facial recognition algorithm flagged Robert Dillon as the man who tried to lure or entice a child under 12 years old at a Jacksonville Beach McDonald's. It was wrong."
The 52-year-old "lives more than 300 miles from" and "had never set foot in Jacksonville Beach," the complaint continues. "But rather than test the machine's answer against the evidence that would have cleared him, the officers built a case to confirm it. Mr. Dillon was arrested and prosecuted for one of the most stigmatizing crimes a person can face."
Dillon—one of at least 15 people wrongfully arrested in the United States due to police reliance on incorrect facial recognition results—is suing the city of Jacksonville Beach as well as law enforcement officers from the Jacksonville Beach Police Department, Jacksonville Sheriff's Office (JSO), and Pinellas County Sheriff's Office.
Reporting on the case Wednesday, Wired noted that while the Pinellas agency did not respond to a request for comment, a JSO spokesperson simply said that "due to pending litigation, we would be unable to comment further on the incident."
The actual suspect allegedly approached a girl at the McDonald's shortly before midnight on November 2, 2023. The following month, Dillon was flagged as a possible match by the Face Analysis Comparison and Examination System (FACES)—which "has been operated by the Pinellas County Sheriff's Office since 2001, making it one of the oldest police face-recognition systems in the country," according to Wired. "At its peak in 2021, its tens of millions of Florida mug shots and driver's license photos were accessible to more than 260 agencies."
After denying any involvement in the case in December, Dillon was arrested at his home in front of his wife the next August, "held overnight in jail, forced to borrow money and pledge the title to his truck to post bond, subjected to months of criminal prosecution, and publicly branded with a mugshot that remains accessible online, long after the charges were dropped," the complaint states. "Community members still approach him in public to ask about the case. He no longer feels comfortable being friendly to children."
"He had no connection to the McDonald's, to the child who was targeted, or to anyone involved in the crime. He became a suspect for one reason: a facial recognition algorithm included him in a list of possible matches to a suspect captured on grainy surveillance footage at the restaurant," the document emphasizes. "The investigating officer treated that algorithmic output as a near-certain identification, omitted critical exculpatory evidence from his arrest warrant application, and failed to pursue routine investigative steps that would have immediately excluded Mr. Dillon as a suspect."
"The arrest warrant that deprived Mr. Dillon of his liberty was the product of a cascade of investigative failures by the lead investigator, Jacksonville Beach Police Department officer (now corporal) Scott O'Connell," according to the filing. Among them was the officer's "complete failure to consider that the suspect was alleged to have been a 'regular' customer."
The complaint also notes that "O'Connell is an officer with a documented history of volatility and poor judgment, having previously been terminated from the St. Johns County Sheriff's Office for threatening to 'blow up' the agency, later reinstated, then arrested for domestic battery before resigning under the weight of those charges. Jacksonville Beach PD hired him anyway, assigned him as lead investigator on a sensitive child-luring case, and later promoted him to corporal after his investigation resulted in the wrongful arrest and prosecution of an innocent man."
Dillon said in a Wednesday statement that "the night I spent in jail after they arrested me for a crime I did not commit still haunts me to this day. I will never get over how terrified and worried I was, wondering if I'd ever go home to my wife and daughter again."
"Over a year later, I'm still picking up the pieces of my life, all because the police relied on this dangerous technology instead of doing their jobs and actually investigating," Dillon added. "Florida police must implement safeguards and ensure this never happens to anyone else, because until they do, nobody is safe."
Nate Freed Wessler, deputy director of the ACLU’s Speech, Privacy, and Technology Project, stressed that "no one should lose their freedom or be scared to leave their house because an algorithm got it wrong."
"These Florida police departments owe it to Mr. Dillon to make amends and to take serious steps to make sure this doesn't happen to anyone else," he argued. "Police across the country are on notice: Unreliable face recognition technology is hurting people, and we will keep fighting to hold them accountable for these abuses."
The ACLU has previously sounded the alarm over other cases, including those of Robert Williams, a Black man wrongfully arrested in 2020 after software owned by Michigan State Police misidentified him as a shoplifting suspect, and Randal Reid, who spent nearly a week in jail in 2022 after he was falsely identified as a luxury purse thief by Louisiana authorities.
The legal group on Wednesday also pointed to the reported role of FACES in the 2025 wrongful arrest of New Smyrna Beach resident Beau Burgess, as well as another case involving the Jacksonville Sheriff's Office: Jalil Richardson told Action News Jax earlier this month that after being misidentified as a vehicle thief, he "sat in there for over 50 days, in the most worst jail ever."
"There was no proper investigation done... to even reach out to me or to see if I was even in Florida," said Richardson, whose charges were dropped after he provided time sheets showing that he was at work in North Carolina when the vehicle was stolen.
In his case, JSO provided a lengthy statement, saying in part that "facial recognition software is just one tool in a large toolbox for investigators," and "calling the arrest the result 'police AI misidentification' is a catchy headline but does not provide accurate context," including that "the victim chose Mr. Richardson out of a photographic lineup to include other potential suspects."
Nicholas Warren, staff attorney at the ACLU of Florida, said Wednesday that "one wrongful arrest is one too many."
"Florida's growing reliance on facial recognition technology threatens us all," he warned. "We must stop this dangerous pattern before it traps more innocent people. No one should have their freedom taken away because the police rely on faulty technology."
"Meta’s reported plans to introduce this technology into broadly available consumer products is a red line society must not cross."
The ACLU and a coalition of 75 other rights organizations on Tuesday issued a warning to tech giant Meta about its plan to install facial recognition technology onto its artificial intelligence-powered eyeglasses.
In a letter organized by the ACLU, the ACLU of Massachusetts, and the New York Civil Liberties Union (NYCLU), the groups said adding facial recognition technology to Meta's Ray-Ban and Oakley glasses would pose a grave threat to Americans' privacy.
"People should be able to move through their daily lives," the letter states, "without fear that stalkers, scammers, abusers, federal agents, and activists across the political spectrum are silently and invisibly verifying their identities and potentially matching their names to a wealth of readily available data about their habits, hobbies, relationships, health, and behaviors."
When it comes to specific dangers posed by embedding this technology into the company's products, the letter points to the potential for scammers to use it to "find out, quickly and in complete stealth, not just the name of the person sitting next to them on the subway—but their address, marital status, social media profiles, workplace, income, hobbies, health information, and habits."
Because of this, the letter says that "Meta’s reported plans to introduce this technology into broadly available consumer products is a red line society must not cross."
Blocking facial recognization technology from Meta glasses "is a prerequisite for a free and safe society," reads the letter.
The letter concludes with a series of demands, including that Meta stop any plans to attach facial recognition technology to its products; publicly disclose any past instances of Meta glasses being used for stalking and harassment; and reveal any "past or ongoing" discussions with law enforcement agencies such as US Immigration and Customs Enforcement about deploying the technology.
Cody Venzke, senior staff attorney working on surveillance, privacy, and technology issues for the ACLU, described facial recognition technology as "inherently invasive and unethical," and said adding it to a widely available consumer product "would vastly increase the risk of harm to individuals, families, and our democracy itself."
Kade Crockford, director of technology and justice programs at the ACLU of Massachusetts, argued that "the American people have not consented to this massive invasion of privacy," which is why Meta must abandon plans to deploy it.
"Stalkers and scammers would have a field day with this technology," Crockford said. "Federal agents could use it to harass and intimidate their critics. It’s dangerous and dystopian, and Meta must disavow it."
"An ICE officer may ignore evidence of American citizenship—including a birth certificate—if the app says the person is an alien," said the ranking member of the House Homeland Security Committee.
Immigration agents are using facial recognition software as "definitive" evidence to determine immigration status and is collecting data from US citizens without their consent. In some cases, agents may detain US citizens, including ones who can provide their birth certificates, if the app says they are in the country illegally.
These are a few of the findings from a series of articles published this past week by 404 Media, which has obtained documents and video evidence showing that Immigration and Customs Enforcement (ICE) and Customs and Border Protection (CBP) agents are using a smartphone app in the field during immigration stops, scanning the faces of people on the street to verify their citizenship.
The report found that agents frequently conduct stops that "seem to have little justification beyond the color of someone’s skin... then look up more information on that person, including their identity and potentially their immigration status."
While it is not clear what application the agencies are using, 404 previously reported that ICE is using an app called Mobile Fortify that allows ICE to simply point a camera at a person on the street. The photos are then compared with a bank of more than 200 million images and dozens of government databases to determine info about the person, including their name, date of birth, nationality, and information about their immigration status.
On Friday, 404 published an internal document from the Department of Homeland Security (DHS) which stated that "ICE does not provide the opportunity for individuals to decline or consent to the collection and use of biometric data/photograph collection." The document also states that the image of any face that agents scan, including those of US citizens, will be stored for 15 years.
The outlet identified several videos that have been posted to social media of immigration officials using the technology.
In one, taken in Chicago, armed agents in sunglasses and face coverings are shown accosting a pair of Hispanic teenagers on bicycles, asking where they are from. The 16-year-old boy who filmed the encounter said he is "from here"—an American citizen—but that he only has a school ID on him. The officer tells the boy he'll be allowed to leave if he'll "do a facial." The other officer then snaps a photo of him with a phone camera and asks his name.
In another video, also in Chicago, agents are shown surrounding a driver, who declines to show his ID. Without asking, one officer points his phone at the man. "I’m an American citizen, so leave me alone,” the driver says. "Alright, we just got to verify that,” the officer responds.
Even if the people approached in these videos had produced identification proving their citizenship, there's no guarantee that agents would have accepted it, especially if the app gave them information to the contrary.
On Wednesday, ranking member of the House Homeland Security Committee, Rep. Bennie Thompson (D-Miss.), told 404 that ICE agents will even trust the app's results over a person's government documents.
“ICE officials have told us that an apparent biometric match by Mobile Fortify is a ‘definitive’ determination of a person’s status and that an ICE officer may ignore evidence of American citizenship—including a birth certificate—if the app says the person is an alien,” he said.
This is despite the fact that, as Nathan Freed Wessler, deputy director of the ACLU's Speech, Privacy, and Technology Project, told 404, “face recognition technology is notoriously unreliable, frequently generating false matches and resulting in a number of known wrongful arrests across the country."
Thompson said: "ICE using a mobile biometrics app in ways its developers at CBP never intended or tested is a frightening, repugnant, and unconstitutional attack on Americans’ rights and freedoms.”
According to an investigation published in October by ProPublica, more than 170 US citizens have been detained by immigration agents, often in squalid conditions, since President Donald Trump returned to office in January. In many of these cases, these individuals have been detained because agents wrongly claimed the documents proving their citizenship are false.
During a press conference this week, Homeland Security Secretary Kristi Noem denied this reality, stating that "no American citizens have been arrested or detained" as part of Trump's "mass deportation" crusade.
"We focus on those who are here illegally," she said.
But as DHS's internal document explains, facial recognition software is necessary in the first place because "ICE agents do not know an individual's citizenship at the time of the initial encounter."
David Bier, the director of immigration studies at the Cato Institute, explains that the use of such technology suggests that ICE's operations are not "highly targeted raids," as it likes to portray, but instead "random fishing expeditions."
The second Trump administration is deploying new surveillance methods it seeks to extend its authoritarian power. And one key aspect of that project is the consolidation of the personal information of millions of people in a single place.
Sometime in the late 1980s, I was talking with a friend on my landline (the only kind of telephone we had then). We were discussing logistics for an upcoming demonstration against the Reagan administration’s support for the Contras fighting the elected government of Nicaragua. We agreed that, when our call was done, I’d call another friend, “Mary,” to update her on the plans. I hung up.
But before I could make the call, my phone rang.
“Hi, this is Mary,” my friend said.
“Mary! I was just about to call you.”
“But you did call me,” she said.
“No, I didn’t. My phone just rang, and you were on the other end.”
It was pretty creepy, but that was how surveillance worked in the days of wired telephone systems. Whoever was listening in, most likely someone from the local San Francisco Police Department, had inadvertently caused both lines to ring, while preparing to catch my coming conversation with Mary. Assuming they’d followed the law, arranging such surveillance would have involved a number of legal and technical steps, including securing a wiretapping warrant. They’d have had to create a physical connection between their phones and ours, most likely by plugging into the phone company’s central office.
Government surveillance has come a long way since then, both technically and in terms of what’s legally possible in Donald Trump’s United States and under the John Roberts Supreme Court.
Government agencies have many ways of keeping tabs on us today. The advent of cellular technology has made it so much easier to track where any of us have been, simply by triangulating the locations of the cell towers our phones have pinged along the way.
If you watch police procedurals on television (which I admit to doing more than is probably good for me), you’ll see a panoply of surveillance methods on display, in addition to cellular location data. It used to be only on British shows that the police could routinely rely on video recordings as aids in crime solving. For some decades, the Brits were ahead of us in creating a surveillance society. Nowadays, though, even the detectives on U.S. shows like Law and Order SVU (heading for its 27th season) can usually locate a private video camera with a sightline to the crime and get its owner to turn over the digital data.
Facial recognition is another technology you’ll see on police dramas these days. It’s usually illustrated by a five-second interval during which dozens of faces appear briefly on a computer monitor. The sequence ends with a final triumphant flourish—a single face remaining on screen, behind a single flashing word: “MATCH.”
We should probably live as if everything we do, even in supposedly “secure” places (real and virtual), is visible to the Trump regime.
I have no idea whether the TV version is what real facial recognition software actually looks like. What I do know is that it’s already being used by federal agencies like Immigration and Customs Enforcement (ICE) and the FBI, under the auspices of a company called Clearview, which is presently led by Hal Lambert, a big Trump fundraiser. As Mother Jones magazine reports, Clearview has “compiled a massive biometric database” containing “billions of images the company scraped off the internet and social media without the knowledge of the platforms or their users.” The system is now used by law enforcement agencies around the country, despite its well-documented inability to accurately recognize the faces of people with dark skin.
The old-fashioned art of tailing suspects on foot is rapidly giving way to surveillance by drone, while a multitude of cameras at intersections capture vehicle license plates. Fingerprinting has been around for well over a century, although it doesn’t actually work on everyone. Old people tend to lose the ridges that identify our unique prints, which explains why I can’t reliably use mine to open my phone or wake my computer. Maybe now’s my moment to embark on a life of crime? Probably not, though, as my face is still pretty recognizable, and that’s what the Transportation Safety Administration uses to make sure I’m really the person in the photo on my Real ID.
The second Trump administration is deploying all of these surveillance methods and more, as it seeks to extend its authoritarian power. And one key aspect of that project is the consolidation of the personal information of millions of people in a single place.
It’s been thoroughly demonstrated that, despite its name, Elon Musk’s Department of Government Efficiency has been anything but efficient in reducing “waste, fraud, and abuse” in federal spending. DOGE, however, has made significantly more progress in achieving a less well publicized but equally important objective: assembling into a single federal database the personal details of hundreds of millions of individuals who have contact with the government. Such a database would combine information from multiple agencies, including the IRS and the Social Security Administration. The process formally began in March 2025 when, as The New York Times reported, President Trump signed an executive order “calling for the federal government to share data across agencies.” Such a move, as Times reporters Sheera Frenkel and Aaron Krolik note, raises “questions over whether he might compile a master list of personal information on Americans that could give him untold surveillance power.”
In keeping with the fiction that DOGE’s work is primarily focused on cost cutting, Trump labeled his order “Stopping Waste, Fraud, and Abuse by Eliminating Information Silos.” That fiction provided the pretext for DOGE’s demands that agency after agency grant its minions free access to the most private data they had on citizens and noncitizens alike. As The Washington Post reported in early May:
The U.S. DOGE Service is racing to build a single centralized database with vast troves of personal information about millions of U.S. citizens and residents, a campaign that often violates or disregards core privacy and security protections meant to keep such information safe, government workers say.
Worse yet, it will probably be impossible to follow DOGE’s trail of technological mayhem. As the Post reporters explain:
The current administration and DOGE are bypassing many normal data-sharing processes, according to staffers across 10 federal agencies, who spoke on the condition of anonymity out of fear of retribution. For instance, many agencies are no longer creating records of who accessed or changed information while granting some individuals broader authority over computer systems. DOGE staffers can add new accounts and disable automated tracking logs at several Cabinet departments, employees said. Officials who objected were fired, placed on leave or sidelined.
My own union, the American Federation of Teachers, joined a suit to prevent DOGE from seizing access to Social Security data and won in a series of lower courts. However, on May 31, in a 6-3 ruling, the Supreme Court (with the three liberal judges dissenting) temporarily lifted the block imposed by the lower courts until the case comes back to the justices for a decision on its merits. In the meantime, DOGE can have what it wants from the Social Security Administration. And even if the Supreme Court were ultimately to rule against DOGE, the damage will be done. As the president of El Salvador said in response to an entirely different court ruling, “Oopsie. Too late.”
Anyone who’s ever worked with a database, even one with only a few thousand records, knows how hard it is to keep it organized and clean. There’s the problem of duplicate records (multiple versions of the same person or other items). And that’s nothing compared to the problem of combining information from multiple sources. Even the names of the places where data goes (“fields”) will differ from one base to another. The very structures of the databases and how records are linked together (“relationships”) will differ, too. All of this makes combining and maintaining databases a messy and confusing business. Now imagine trying to combine dozens of idiosyncratically constructed ones with information stretching back decades into one single, clean, useful repository of information. It’s a daunting project.
And in the case of Trump’s One Big Beautiful Database, that’s where Peter Thiel’s company Palantir comes in. As The New York Times reported recently, at the urging of Elon Musk and DOGE, Trump turned to Palantir to carry out the vision expressed in his March executive order mentioned above. In fact, according to the Times, “at least three DOGE members formerly worked at Palantir, while two others had worked at companies funded by Peter Thiel, an investor and a founder of Palantir.”
Palantir, named for the “seeing stones” described in J.R.R. Tolkien’s Lord of the Rings, is already at work, providing its data platform Foundry to several parts of the government. According to the Times:
The Trump administration has expanded Palantir’s work across the federal government in recent months. The company has received more than $113 million in federal government spending since Mr. Trump took office, according to public records, including additional funds from existing contracts as well as new contracts with the Department of Homeland Security and the Pentagon. (This does not include a $795 million contract that the Department of Defense awarded the company last week, which has not been spent.)
Representatives of Palantir are also speaking to at least two other agencies—the Social Security Administration and the Internal Revenue Service—about buying its technology, according to six government officials and Palantir employees with knowledge of the discussions.
Who is Peter Thiel, Palantir’s co-founder? In addition to being a friend of Musk’s, Thiel was an early Trump supporter among the tech elites of Silicon Valley, donating $1.25 million to his 2016 campaign. He is also credited with shaping the political career of Vice President JD Vance, from his campaign to become a senator to his selection as Trump’s running mate. Thiel is part of a rarified brotherhood of tech and crypto-currency billionaires who share a commitment to a particular project of world domination by a technological elite. (And if that sounds like the raw material for a crazy conspiracy theory, bear with me again here.) Thiel was also an early funder of Clearview, the facial recognition software mentioned earlier.
In hiring Palantir and turning our data over to the company, Trump makes himself a useful tool, along with Vance, in the service of Thiel’s vision—just as he has been to the machinations of Project 2025’s principal author Russell Vought, who has different, but no less creepy dreams of domination.
Thiel and his elite tech bros, including Musk, Internet pioneer and venture capitalist Marc Andreessen, and Clearview founder Hoan Ton-That, share a particular philosophy. Other believers include figures like fervent Trump supporter Steve Bannon and Vice President Vance. This explicitly anti-democratic worldview goes by various names, including the “neo-reactionary movement” and the “Dark Enlightenment.”
Its founder is a software developer and political blogger named Curtis Yarvin, who has advocated replacing a “failed” democratic system with an absolute monarchy. Describing the Dark Enlightenment in The Nation magazine in October 2022, Chris Lehman observed that, in his run for Senate, JD Vance had adopted “a key plank of [Yarvin’s] plan for post-democratic overhaul—the strongman plan to ‘retire all government employees, which goes by the jaunty mnemonic ‘RAGE.’” (Any similarity to Musk’s DOGE is probably not coincidental.)
So, what is the Dark Enlightenment? It’s the negative image of an important intellectual movement of the 17th and18th centuries, the Enlightenment, whose principles formed, among other things, the basis for American democracy. These included such ideas as the fundamental equality of all human beings, the view that government derives its authority from the consent of the governed, and the existence of those “certain unalienable rights” mentioned in the U.S. Declaration of Independence.
Our response must be to oppose Trump’s onrushing version of American fascism as boldly and openly as we can.
The Dark Enlightenment explicitly opposes all of those and more. Lehman put it this way: “As Yarvin envisions it, RAGE is the great purge of the old operating system that clears the path for a more enlightened race of technocrats to seize power and launch the social order on its rational course toward information-driven self-realization.” That purge would necessarily produce “collateral casualties,” which would include “the nexus of pusillanimous yet all-powerful institutions Yarvin has dubbed ‘the Cathedral’—the universities, the elite media, and anything else that’s fallen prey to liberal perfidy.” Of course, we’ve already seen at least a partial realization of just such goals in Trump’s focused attacks on universities, journalists, and that collection of values described as diversity, equity, and inclusion.
On that last point, it should be noted that Yarvin and his followers also tended to be adherents of an “intellectual” current called “human biological diversity” championed by Steven Sailer, another Yarvin acolyte. That phrase has been appropriated by contemporary proponents of what used to be called eugenics, or scientific racism. It’s Charles Murray’s 1994 pseudo-scientific Bell Curve dressed up in high-flown pseudo-philosophy.
However, there’s more to the Dark Enlightenment than authoritarianism and racism. One stream, populated especially by Thiel and other tech bros, has an eschatology of sorts. This theology of the Earth’s end-times holds that elite humans will eventually (perhaps even surprisingly soon) achieve eternal life through physical communion with machines, greatly augmenting their capacities through artificial intelligence. That’s important to them because they’ve given up on the Earth. This planet is already too small and used up to sustain human life for long, they feel. Hence, our human destiny is instead to rule the stars. This is the theology underlying Elon Musk’s hunger for Mars. Anything that stands in the way of such a destiny must and shall be swept away on the tide of a tech bros future. (For an excellent explication of the full worldview shared by such would-be masters of the rest of us—and the rest of the universe as well—take a look at Adam Becker’s new book, More Everything Forever: AI Overlords, Space Empires, and Silicon Valley’s Crusade to Control the Fate of Humanity.)
Back in my own corner of the world, the San Francisco Police Department has come a long way since those ancient days of clumsy phone tapping. Recently, a cryptocurrency billionaire, Chris Larsen, gave the SFPD $9.4 million to upgrade its surveillance tech. They’ll use the money to outfit a new Real Time Investigation Center (RTIC) with all the latest toys. “We’re going to be covering the entire city with drones,” claimed RTIC representative Captain Thomas MacGuire. Imagine my joyful anticipation!
How should defenders of democracy respond to the coming reality of near-constant, real-time government surveillance? We can try to shrink and hide, of course, but that only does their job for them, by driving us into a useless underground. Instead, we should probably live as if everything we do, even in supposedly “secure” places (real and virtual), is visible to the Trump regime. Our response must be to oppose Trump’s onrushing version of American fascism as boldly and openly as we can. Yes, some of us will be harassed, imprisoned, or worse, but ultimately, the only answer to mass surveillance by those who want to be our overlords is open, mass defiance.
"This is the facial recognition technology nightmare scenario that we have been worried about," said one civil liberties campaigner.
Amid a Washington Post investigation and pushback from civil liberties defenders, New Orleans police recently paused their sweeping—and apparently unlawful—use without public oversight of a private network of over 200 surveillance cameras and facial recognition technology to track and arrest criminal suspects.
On Monday, the Post published an exposé detailing how the New Orleans Police Department (NOPD) relied on real-time facial recognition technology provided by Project NOLA, a nonprofit organization operating out of the University of New Orleans, to locate and apprehend suspects.
"Facial recognition technology poses a direct threat to the fundamental rights of every individual and has no place in our cities."
Project NOLA's website says the group "operates the largest, most cost-efficient, and successful networked [high definition] crime camera program in America, which was created in 2009 by criminologist Bryan Lagarde to help reduce crime by dramatically increasing police efficiency and citizen awareness."
The Post's Douglas MacMillan and Aaron Schaffer described Project NOLA as "a surveillance method without a known precedent in any major American city that may violate municipal guardrails around use of the technology."
As MacMillan and Schaffer reported:
Police increasingly use facial recognition software to identify unknown culprits from still images, usually taken by surveillance cameras at or near the scene of a crime. New Orleans police took this technology a step further, utilizing a private network of more than 200 facial recognition cameras to watch over the streets, constantly monitoring for wanted suspects and automatically pinging officers' mobile phones through an app to convey the names and current locations of possible matches.
This, despite a 2022 municipal law
limiting police use of facial recognition. That ordinance reversed the city's earlier outright ban on the technology and was criticized by civil liberties advocates for dropping a provision that required permission from a judge or magistrate commissioner prior to use.
"This is the facial recognition technology nightmare scenario that we have been worried about," Nathan Freed Wessler, deputy director with the ACLU's Speech, Privacy, and Technology Project, told the Post. "This is the government giving itself the power to track anyone—for that matter, everyone—as we go about our lives walking around in public."
Since 2023, Project NOLA—which was paused last month amid the Post's investigation—has contributed to dozens of arrests. Proponents including NOPD and city officials credit the collaboration with Project NOLA for a decrease in crime in the city that had the nation's highest homicide rate as recently as 2022. Project NOLA has even been featured in the true crime series "Real Time Crime."
New Orleans Police Commissioner Anne Kirkpatrick told Project NOLA last month that its automated alerts must be shut off until she is "sure that the use of the app meets all the requirements of the law and policies."
Critics point to racial bias in facial recognition algorithms, which disproportionately misidentify racial minorities, as a particular cause for concern. According to one landmark federal study published in 2019, Black, Asian, and Native American people were up to 100 times likelier to be misidentified by facial recognition algorithms than white people.
The ACLU said in a statement that Project NOLA "supercharges the risks":
Consider Randal Reid, for example. He was wrongfully arrested based on faulty Louisiana facial recognition technology, despite never having set foot in the state. The false match cost him his freedom, his dignity, and thousands of dollars in legal fees. That misidentification happened based on a still image run through a facial recognition search in an investigation.
"We cannot ignore the real possibility of this tool being weaponized against marginalized communities, especially immigrants, activists, and others whose only crime is speaking out or challenging government policies," ACLU of Louisiana executive director Alanah Odoms said. "These individuals could be added to Project NOLA's watchlist without the public's knowledge, and with no accountability or transparency on the part of the police departments."
"Facial recognition technology poses a direct threat to the fundamental rights of every individual and has no place in our cities," Odoms asserted. "We call on the New Orleans Police Department and the city of New Orleans to halt this program indefinitely and terminate all use of live-feed facial recognition technology."
"ICE's attempt to have eyes and ears in as many places as we exist both online and offline should ring an alarm for all of us," said one campaigner.
U.S. Immigration and Customs Enforcement is seeking to hire a contractor as part of an effort to expand the monitoring of negative social media posts about the agency, its personnel, and operations, according to a report published Monday.
According to The Intercept's Sam Biddle, ICE is citing "an increase in threats" to agents and leadership as the reason for seeking a contractor to keep tabs on the public's social media activity.
The agency said the contractor "shall provide all necessary personnel, supervision, management, equipment, materials, and services, except for those provided by the government, in support of ICE's desire to protect ICE senior leaders, personnel, and facilities via internet-based threat mitigation and monitoring services."
"These efforts include conducting vulnerability assessments and proactive threat monitoring," ICE added, explaining that the contractor will be required to provide daily and monthly status reports and immediately alert supervisors of "imminent threats."
Careful what you post: ICE is seeking private contractors to conduct social media surveillance including detection of merely "negative" sentiment about the agency's leadership, agents, and general operations theintercept.com/2025/02/11/i...
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— Sam Biddle (@sambiddle.com) February 11, 2025 at 9:27 AM
ICE will require the monitor to identify and report "previous social media activity which would indicate any additional threats to ICE," as well as any information indicating that individuals or groups "making threats have a proclivity for violence" and anything "indicating a potential for carrying out a threat."
According to Biddle:
It's unclear how exactly any contractor might sniff out someone's "proclivity for violence." The ICE document states only that the contractor will use "social and behavioral sciences" and "psychological profiles" to accomplish its automated threat detection.
Once flagged, the system will further scour a target's internet history and attempt to reveal their real-world position and offline identity. In addition to compiling personal information—such as the Social Security numbers and addresses of those whose posts are flagged—the contractor will also provide ICE with a "photograph, partial legal name, partial date of birth, possible city, possible work affiliations, possible school or university affiliation, and any identified possible family members or associates."
The document also requests "facial recognition capabilities that could take a photograph of a subject and search the internet to find all relevant information associated with the subject." The contract contains specific directions for targets found in other countries, implying the program would scan the domestic speech of American citizens.
"Careful what you post," Biddle warned in a social media post promoting his article.
ICE is already monitoring social media posts via contractor Giant Oak, which was hired during the first Trump administration and former Democratic President Joe Biden's term. However, "the goal of this [new] contract, ostensibly, is focused more narrowly on threats to ICE leadership, agents, facilities, and operations," according to Biddle.
Cinthya Rodriguez, an organizer with the immigrant rights group Mijente, told Biddle that "the current administration's attempt to use this technology falls within the agency's larger history of mass surveillance, which includes gathering information from personal social media accounts and retaliating against immigrant activists."
"ICE's attempt to have eyes and ears in as many places as we exist both online and offline should ring an alarm for all of us," Rodriguez added.
The search for expanded ICE social media surveillance comes as President Donald Trump's administration is carrying out what the Republican leader has promised will be the biggest mass deportation campaign in U.S. history. The U.S. Department of Homeland Security has been deporting migrants on military flights, with some deportees imprisoned at Guantánamo Bay, the notorious offshore U.S. military prison in Cuba.
"Whilst the Parliament fought hard to limit the damage, the overall package on biometric surveillance and profiling is at best lukewarm," said one advocate.
Privacy advocates on Saturday said the AI Act, a sweeping proposed law to regulate artificial intelligence in the European Union whose language was finalized Friday, appeared likely to fail at protecting the public from one of AI's greatest threats: live facial recognition.
Representatives of the European Commission spent 37 hours this week negotiating provisions in the AI Act with the European Council and European Parliament, running up against Council representatives from France, Germany, and Italy who sought to water down the bill in the late stages of talks.
Thierry Breton, the European commissioner for internal market and a key negotiator of the deal, said the final product would establish the E.U. as "a pioneer, understanding the importance of its role as global standard setter."
But Amnesty Tech, the branch of global human rights group Amnesty International that focuses on technology and surveillance, was among the groups that raised concerns about the bloc's failure to include "an unconditional ban on live facial recognition," which was in an earlier draft, in the legislation.
The three institutions, said Mher Hakobyan, Amnesty Tech's advocacy adviser on AI, "in effect greenlighted dystopian digital surveillance in the 27 EU Member States, setting a devastating precedent globally concerning AI regulation."
"While proponents argue that the draft allows only limited use of facial recognition and subject to safeguards, Amnesty's research in New York City, Occupied Palestinian Territories, Hyderabad, and elsewhere demonstrates that no safeguards can prevent the human rights harms that facial recognition inflicts, which is why an outright ban is needed," said Hakobyan. "Not ensuring a full ban on facial recognition is therefore a hugely missed opportunity to stop and prevent colossal damage to human rights, civic space, and rule of law that are already under threat throughout the E.U."
The bill is focused on protecting Europeans against other significant risks of AI, including the automation of jobs, the spread of misinformation, and national security threats.
Tech companies would be required to complete rigorous testing on AI software before operating in the EU, particularly for applications like self-driving vehicles.
Tools that could pose risks to hiring practices would also need to be subjected to risk assessments, and human oversight would be required in deploying the software,
AI systems including chatbots would be subjected to new transparency rules to avoid the creation of manipulated images and videos—known as deepfakes—without the public knowing that the images were generated by AI.
The indiscriminate scraping of internet or security footage images to create facial recognition databases would also be outright banned.
But the proposed AI Act, which could be passed before the end of the European Parliament session ends in May, includes exemptions to facial recognition provisions, allowing law enforcement agencies to use live facial recognition to search for human trafficking victims, prevent terrorist attacks, and arrest suspects of certain violent crimes.
Ella Jakubowska, a senior policy adviser at European Digital Rights, told The Washington Post that "some human rights safeguards have been won" in the AI Act.
"It's hard to be excited about a law which has, for the first time in the E.U., taken steps to legalize live public facial recognition across the bloc," Jakubowska told Reuters. "Whilst the Parliament fought hard to limit the damage, the overall package on biometric surveillance and profiling is at best lukewarm."
Hakobyan also noted that the bill did not include a ban on "the export of harmful AI technologies, including for social scoring, which would be illegal in the E.U."
"Allowing European companies to profit off from technologies that the law recognizes impermissibly harm human rights in their home states establishes a dangerous double standard," said Hakobyan.
After passage, many AI Act provisions would not take effect for 12 to 24 months.
Andreas Liebl, managing director of the German company AppliedAI Initiative, acknowledged that the law would likely have an impact on tech companies' ability to operate in the European Union.
"There will be a couple of innovations that are just not possible or economically feasible anymore," Liebl told the Post.
But Kris Shrishak, a senior fellow at the Irish Council for Civil Liberties, told The New York Times that the E.U. will have to prove its "regulatory prowess" after the law is passed.
"Without strong enforcement," said Shrishak, "this deal will have no meaning."
"By turning the AI Bill of Rights from a nonbinding statement of principles into federal policy, your administration would send a clear message to both private actors and federal regulators."
Amid the rapid development and deployment of artificial intelligence systems, a pair of Democratic U.S. lawmakers on Wednesday led more than a dozen of their colleagues in urging President Joe Biden to issue an executive order making the White House's "AI Bill of Rights" official federal policy.
Sen. Ed Markey (D-Mass.) and Congressional Progressive Caucus Chair Pramila Jayapal (D-Wash.) spearheaded a letter to Biden asserting that "the federal government's commitment to the AI Bill of Rights would show that fundamental rights will not take a back seat in the AI era."
"By turning the AI Bill of Rights from a nonbinding statement of principles into federal policy, your administration would send a clear message to both private actors and federal regulators: AI systems must be developed with guardrails," the letter states. "Doing so would also strengthen your administration's efforts to advance racial equity and support underserved communities, building on important work from previous executive orders."
The lawmakers asserted that implementing the AI Bill of Rights is "a crucial step in developing an ethical framework for the federal government's role" in artificial intelligence. They stressed that five principles—"safe and effective systems; algorithmic discrimination protections; data privacy; notice and explanation; and human alternatives, consideration, and fallback"—must be the core of the policy.
The letter further argues that "implementing these principles will not only protect communities harmed by these technologies, it will also help inform ongoing policy conversations in Congress and show clear leadership on the global stage."
In July, the White House secured voluntary risk management commitments from seven leading AI companies, a move praised by campaigners and experts—even as they stressed the need for further action from Congress and federal regulators.
Earlier this year, Markey and Rep. Doris Matsui (D-Calif.) reintroduced the Algorithmic Justice and Online Platform Transparency Act, which would prohibit Big Tech from using black-box algorithms that drive discrimination and inequality.
Jayapal, Markey, and Sen. Jeff Merkley (D-Ore.) in March led the reintroduction of the Facial Recognition and Biometric Technology Moratorium Act, which would stop the government from using facial recognition and other biometric technologies, which they said "pose significant privacy and civil liberties issues and disproportionately harm marginalized communities."
Wednesday's letter came as the consumer advocacy group Public Citizen urged the Federal Election Commission to officially affirm that so-called "deepfakes" in U.S. political campaign communications are illegal under existing legislation proscribing fraudulent representation.
The lawmakers' call also comes just weeks after Public Citizen warned that Big Tech is creating and deploying AI systems "that deceptively mimic human behavior to aggressively sell their products and services, dispense dubious medical and mental health advice, and trap people in psychologically dependent, potentially toxic relationships with machines."
For many, the abuses of technology are not some future threat.
Technology is often hailed as an engine of progress, but if unleashed without democratic oversight, it can cause great harm. Artificial Intelligence, or AI, is the latest example. “Mitigating the risk of extinction from AI should be a global priority, alongside other societal-scale risks such as pandemics and nuclear war,” warned over 250 computer scientists in a one-sentence statement issued by the Center for AI Safety. They worry that Artificial Intelligence will outpace human intelligence, then orchestrate our demise as a species.
But for many, the abuses of technology are not some future threat. Take the cases of Henrietta Lacks, who died of cervical cancer in 1951, and a more recent example, in 2023, of another Black woman, Porcha Woodruff, a young Detroit mother wrongly arrested for armed robbery and carjacking after being misidentified by AI-driven facial recognition software.
“The six police officers came to knock on the door,” Porcha Woodruff said on the Democracy Now! news hour, recounting her arrest with “a warrant for my arrest for carjacking. In the midst of the conversation, I opened up my door a little bit wider so that they could see I was eight months pregnant…I went back and forth with the police officers for a while, trying to convince them, ‘You have the wrong person.’”
Porcha Woodruff was handcuffed in front of her two young, terrified daughters and jailed. The actual perpetrator’s face had been recorded by a camera, and facial recognition software pointed to Porcha. She was the first woman known to have been arrested due to faulty facial recognition software. At least five men have been similarly wrongly arrested. All six are Black. Porcha was held for eleven hours, released on $100,000 bond. She began having contractions in the jail cell. She immediately rushed to the hospital after getting out, where she was treated for dehydration.
“In 2019, the government shared a study showing that African American faces and Asian faces were 10 to 100 times more likely to be misidentified,” Joy Buolamwini, founder of the Algorithmic Justice League, explained on Democracy Now! “In many instances, the worst performance is on the faces of Black women. When you look at the data and what we’ve recorded on the performance of facial recognition technologies, it does mean people of color, women of color, Black women, in particular, are at even higher risk of these types of misidentifications.”
Porcha Woodruff is 32 years old. Henrietta Lacks was a 31-year-old mother of five, who went to Johns Hopkins, the only hospital in Baltimore that would see Black patients in the early 1950s. “She ended up going under anesthetic to get a biopsy of her cervix,” Rebecca Skloot said on Democracy Now! Skloot is the author of the bestselling biography, “The Immortal Life of Henrietta Lacks,” also made into a film starring Oprah Winfrey. “That’s when this doctor just took a little extra piece and put that in a dish and sent it to George Gey, who was the head of tissue culture research and had been trying to grow cells for decades. They had been able to keep cells alive for maybe 24 hours in the past, but hers —not only did they not die, but they began doubling their numbers every 24 hours. So they just grew with this incredible intensity that no one had ever seen before.”
Henrietta Lacks died of cancer not long after, but her cells lived on, becoming a cornerstone of biomedical research. The cells taken from Henrietta Lacks without her permission have helped cure or treat countless diseases, from polio to HIV to HPV, helped develop vaccines and other medicines, and to map the human genome. Doctors from Johns Hopkins continued to deceive her family members, subjecting them to studies in an attempt to learn why her cells were able to survive.
Johns Hopkins called Henrietta Lacks’ cells “HeLa cells,” claiming they came from a fictitious person, “Helen Lane.”. Many companies profited from her cells. On August 1st, her family settled with one company, Thermo Fisher Scientific.
One of her grandsons, Alfred Lacks Carter, Jr., announced, “Our family member, our loved one, Henrietta Lacks, 103 years old today… it couldn’t have been a more fitting day for her to have justice, for her family to have relief. It was a long fight, over 70 years. And Henrietta Lacks gets her day.”
Hopefully, Porcha Woodruff will get her day, too. She is suing Detroit for wrongful arrest and imprisonment, malicious prosecution, and for its use of the demonstrably racist AI-driven facial recognition software. She could well be the impetus for passage of the Facial Recognition and Biometric Technology Moratorium Act now before Congress.
From Henrietta Lacks to Porcha Woodruff, it is past time we recognize and reject racist abuses of technology.