Tag: ai

Government Spy Hubs Are Surveilling Anti-Flock Camera Activists

Government spy hubs across America are surveilling activists seeking to remove Flock surveillance cameras from their cities and towns according to documents obtained by Deeper States. These intelligence products show dozens of state fusion centers and their counterparts in the FBI and DHS circulating memos warning that peaceful protesters organizing to stop AI powered surveillance cameras in their backyard are a national security threat.

Alongside the grassroots movement to stop data centers in communities across the country, Flock Safety’s automated license plate reader systems have stirred similar outpourings of civic outrage. At town halls and city council meetings, citizens from all walks of life have demanded local legislators ban flock cameras from being used in their localities. These efforts have found success with over 100 cities canceling their Flock contracts.

Anti-surveillance sentiment has coalesced with the activist organization DeFlock, which maps the tens of thousands of flock cameras pockmarking the country and offers resources to activists who oppose the widespread adaptation of automated license plate readers.

According to Deflock’s mission statement, “ALPRs [automated license plate readers] are a serious risk to your privacy and civil liberties. These systems continuously record your movements without a warrant, probable cause, or even reasonable suspicion. Your driving history is rarely confined to the town or city where the cameras are installed. It’s typically shared with thousands of other agencies nationwide (secretly). Once the data is out of your community, you have no control over how it’s used or what rules apply”.

The organization also points to intentional misuse of Flock systems for stalking and the potential for misidentification of suspects leading to false arrests as further cause for concern. Last year, flock CEO Garett Langley described Deflock activists as a “terroristic organization”, a description he was forced to walk back this week after widespread outrage at the resurfaced comments.

“My comments were a mistake and I apologize,” Langley told Forbes. “There are groups today that have real valid criticisms of the business, and I think what’s changed for us is, as we’ve listened to them and heard them out, what we’re trying to do is find this balance. We believe in a world where we can have safety and privacy.”

Despite Langley’s retreat, intelligence agencies are approaching Deflock’s constitutionally protected speech and organizing with the same tools and language they apply to terrorism. One report obtained by Deeper States and generated by the Wisconsin State Wide Intelligence Center shows intelligence components surveilling organizers of Deflock “days of action” in Alaska and Wisconsin.

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Flock Safety Announces New Privacy Measures After Backlash, Reports of Law Enforcement Abuse

Flock Safety, the private AI-powered security camera company installing surveillance technology around the U.S., announced new security measures amid intensifying backlash and reports of law enforcement abuse. 

In response to public backlash to the ever-growing network of automated license plate readers (ALPRs), the company is working on reforms that “includes enhanced privacy protections, strengthening of control for local law enforcement offices, and enhanced accountability measures,” Fox Business reported Thursday. 

“To start, Flock is reducing its standard data retention window from 30 days to seven. Previously, all data captured by one of the company’s more than 119,000 cameras nationwide was deleted after the 30-day window,” according to the report. “Now, the company announced on Thursday that data will only live on Flock servers for one week.”

However, Flock is creating a feature called “Evidence Mode,” which will allow law enforcement agencies to preserve data for longer based on state and local policies if they need more time to investigate, according to the report. Law enforcement agencies often counter public concerns about violations of privacy by pointing out that they use the system to catch criminals. 

Another new feature will give law enforcement agencies the ability to choose which kinds of criminal offenses they are willing to share with other municipalities, according to the report. 

“For example, City A could allow City B to search its cameras for a stolen vehicle or violent crime while blocking searches related to immigration enforcement,” the company said.

Concerns over violations of privacy and storing data long term have, in part, fueled backlash against the technology. Mayor Glen Jacobs of Knox County, Tennessee has become a prominent voice calling for a national moratorium on the spread of Flock’s cameras.

The American Civil Liberties Union (ACLU) has also criticized the spread of the technology, and said in a statement the reforms “seem to be a thinly veiled PR attempt to counter communities’ genuine privacy concerns with its mass surveillance system with largely hollow security promises rather than an earnest effort to address them.”

Backlash has also been driven by reports of some law enforcement officers using the technology to stalk romantic partners. Some of the reforms are aimed at preventing that type of abuse, the company said. 

“A recently released framework called Audit Assistance flags abnormal search behavior. Previously, the feature was optional, with Flock reporting that a third of agencies turned it on,” according to the report.

The company said it is now “making it standard for every law enforcement customer. When a system detects abnormal activity, the user is locked out in real time until an administrator reviews the searches. Flock is moving to more proactively address and root out misuse of technology.” The company said it will also require a reason for every search. 

The company rolled out an optional case code requirement in July 2025; however, the new update will make case codes mandatory for searches. There will be an override option for “genuine emergencies,” like missing children, the company said.

“A search without a reason is a search that shouldn’t happen in the first place, and now Flock’s system automatically treats it that way,” Flock told the outlet. 

In the face of widespread concerns, the company still maintains that the technology helped locate approximately 10,000 missing people out of the 1 million investigations it was involved in last year.

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Anthropic’s $2 Trillion Bet Is That Nothing Goes Wrong

The most revealing aspect of a $2 trillion Anthropic IPO is not the staggering valuation, but the suspension of disbelief required to justify it.

To buy into that number, investors must assume that artificial intelligence is becoming economically indispensable at breakneck speed, that a formidable moat will protect a handful of frontier-model developers, and that the exorbitant costs of computing infrastructure will not eventually crush their margins. More crucially – they must wager that the political, technical, and institutional risks inherent to an increasingly geopolitically competitive landscape will play second fiddle to the growth story. 

Reports of Anthropic’s internal projections describe a company scaling at an unprecedented clip. If it can actually bust out an annualized revenue run-rate of $100 billion while expanding its enterprise market share, a trillion-dollar valuation begins to look mathematically defensible under current tech multiples. But this arithmetic obscures a deeper structural flaw: the very capabilities driving Anthropic’s revenue growth are simultaneously engineering the risks most likely to vaporize its premium.

As frontier models become more autonomous, persuasive, and capable of executing multi-step objectives across outside systems, they cease to be conventional software. A text generator hallucinating an answer is a glitch; an autonomous agent hallucinating a cyber-attack or a rogue financial transaction is a massive liability.

The recent internal turmoil and safety-evaluation controversies at both OpenAI and Anthropic are symptomatic of this shift. Major AI labs are now diverting substantial resources to test for autonomy, deception, and loss of control. This is not merely an engineering challenge; it is a fundamental transformation of the product category. The instability roiling these companies is not a byproduct of poor management – it is a structural consequence of trying to shoehorn a potentially world-altering, highly volatile technology into the framework of a standard venture-backed corporation.

The company’s value has been all over the place in prediction markets – recently hockey-sticking following a report in FT in which six company backers said that Anthropic’s rapidly rising revenue “would enable it to more than double its current valuation in a planned autumn float.” 

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Meta Faces Criminal Complaint in Germany for Its AI-Glasses, Accused of Violating Privacy Laws

Who wants to be filmed all the time?

The struggle between new, useful tech gadgets and the objections that these new capabilities raise is a field expected to grow in the next few years, and make many lawyers very wealthy.

One such example is the Meta AI-Glasses.

In principle, it seems a great idea to pack so much computing power in a pair of glasses for our benefit.

But once you start to compute the legal and ethical objections that this gadget raises, it becomes a much less clear question.

Today (12), a German advocacy group took matters into their own hands, and filed a criminal complaint against Meta and other companies, ‘arguing the devices violate privacy laws’.

Reuters reported:

“Digital rights group HateAid said in a statement on Wednesday that the launch of the devices, the Ray-Ban Meta Wayfarer in particular, broke German digital privacy laws, in the latest sign of legal scrutiny in a nation where the right to privacy is highly valued.

‘There’s no place to escape from smart glasses. You have to expect at any moment to be filmed and then exposed on the internet’, said HateAid managing director Josephine Ballon.

The organization reported the management of Meta, units of spectacles maker EssilorLuxottica including Ray-Ban, as well as retailers Fielmann, Apollo-Optik, Mister Spex and MediaMarkt to the Frankfurt-based digital crime prosecution unit ZIT.”

The complaint is based on Germany’s federal digital data protection law, which prohibits the sale of communication devices designed to film people without them noticing.

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He Spoke at a Town Meeting. Then Flock Cameras Started Tracking His Car.

A resident steps up to the mic at a town council meeting, says something inconvenient, then drives home — unaware that somewhere in a police database, that license plate just became a person of interest. No warrant. No probable cause. Just an officer with a grievance and a subscription service the town approved at a meeting most residents never knew about.

That scenario isn’t hypothetical anymore. In 2026, it’s documented — from Georgia to Rhode Island.

How Flock Works – and How It Can Be Weaponized

The system was built to catch criminals; the problem is there’s nothing reliable stopping it from being aimed at everyone else.

Flock Safety sells automated license-plate reader (ALPR) networks to police departments nationwide. The pitch is straightforward: catch criminals faster by searching vehicle movement data after incidents occur. What the system doesn’t include is a reliable filter between a legitimate investigation and a personal score to settle. Unlike federal wiretap law, no federal statute currently governs ALPR data retention periods or inter-agency sharing agreements, leaving oversight entirely to municipal contracts.

The documented abuse cases are piling up:

  • The Electronic Frontier Foundation identified more than 50 agencies running hundreds of Flock searches tied to protest activity
  • A CNN report from July 2026, citing an Institute for Justice tally, found at least two dozen cases where officers resigned or were arrested for allegedly using Flock to stalk romantic partners
  • A police chief in Braselton, Georgia, was arrested for allegedly using ALPR cameras to stalk and harass private citizens
  • Court documents show searches conducted far outside officers’ jurisdictions, according to a 2026 investigation republished by Yahoo
  • Flock told 404 Media it was “aware of 15 incidents of abuse” — a figure critics argue the platform’s design makes structurally impossible to trust

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New Orleans Becomes First Major U.S. City To Let AI Answer 911

New Orleans is testing just how much Americans are willing to trust artificial intelligence when the stakes are considerably higher than writing an email or ordering dinner, according to the New York Post.

The city has begun allowing an AI system to field certain 911 calls, apparently making it the first major U.S. municipality to put a bot directly between emergency callers and human operators.

The idea is largely about volume. New Orleans’ emergency communications center receives more than 1,000 calls on a typical day, and officials believe automation can clear some of the clutter while dispatchers concentrate on genuine emergencies.

The technology isn’t supposed to take over the entire 911 operation. Instead, it can deal with situations that appear redundant or relatively routine when human operators are tied up. A flood of calls about the same already-reported car accident, for example, could potentially be filtered through the automated system rather than occupying multiple dispatchers.

The Post writes that city officials insist humans remain at the center of the operation. But skeptics say emergency calls are precisely the kind of messy, unpredictable interactions computers may struggle to interpret.

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Zuckerberg manifesto sketches out Meta’s ambitions for world-changing AI technology

Meta Platforms CEO Mark Zuckerberg laid out a vision Monday of what he said artificial intelligence can do for the world, imagining a future where everyone has their own, all-knowing AI agent that strives to improve all aspects of their lives.

Zuckerberg detailed his ambitions for the technology in a 6,500-word essay published online where he also outlined why he favors open-source AI technology, in which developers make key components accessible for anyone to examine, modify and build upon.

In a document derided by critics as fantastical, Zuckerberg said his company is working toward an era where everyone will have the tools to create new businesses, receive Ph.D.-level tutoring and provide personalized lifestyle tips. His 8-year-old daughter, he wrote, can already code her ideas and quickly produce videos.

“Everyone will soon have invention superpowers,” Zuckerberg wrote.

Zuckerberg warned of risks if control of advanced AI is concentrated with a select few companies, institutions or governments. On Monday, Meta also announced the release a new open-source AI model, Muse Glimmer, which can run on a personal computer, and Zuckerberg said the company would also would provide a way for developers to access a more powerful AI model, Muse Spark 1.2.

Meta makes AI models, like several other tech companies, and uses them to power platforms such as Instagram and Facebook. The Menlo Park, California, company also makes them available to developers who can create their own apps and features.

Skeptics urge a slower pace of AI development
Critics said Zuckerberg was not reckoning fully with the risks inherent in AI’s rapid development.

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La.: New Orleans 911 turns to AI call triage amid staffing shortages

New Orleans is among the first major American municipalities to integrate an AI voice agent into its 911 emergency call workflow as a limited triage tool.

Overseen by the Orleans Parish Communication District (OPCD), the system — known as AI Emergency Call Triage and powered by software from Carbyne — has been in use on the 911 line since approximately 2023. This is following development work that began around 2022, the department added.

A separate AI agent for the city’s non-emergency 311 service was planned and began rolling out later, around spring 2026.

OPCD reportedly handles more than 1,000 emergency calls per day. The AI tool was designed to reduce workload pressure on human dispatchers during high-volume periods, particularly by filtering redundant reports of the same incident. It functions strictly as a triage layer rather than a replacement for human operators.

Under current protocol, the AI agent activates primarily when all human call-takers are busy and an incoming call originates within roughly 200 meters of a previously reported incident (most commonly a traffic collision). The system asks whether the caller is reporting that known incident.

If the caller confirms they are, the AI can provide reassurance or updates that help is already on the way. If the caller indicates a different or new emergency, or requests a human, the call is immediately routed to an available dispatcher. All calls remain logged and recorded.

OPCD Executive Director Karl Fasold has since defended the limited deployment, noting that 911 centers nationwide face staffing shortages and budget constraints. Filtering duplicate calls during major incidents frees human staff to focus on life-threatening or novel emergencies, he argued.

While other cities, including Atlanta and Seattle, have similarly adopted AI tools for supporting functions such as precise caller location, real-time translation, or dispatcher prompts, New Orleans stands out for using a conversational AI agent that can directly field a narrow subset of active 911 calls under the specific conditions described above.

However, public-safety advocates have voiced growing concern through the media, questioning how well the AI handles panicking callers, heavy accents, ambient noise, or covert distress calls like domestic violence. Critics also cite cybersecurity vulnerabilities and the risk of hallucinated or inaccurate responses during fast-moving crises.

“I was a 911 dispatcher for 11 years and this is the worst idea you could possibly think of,” warned one online critic and alleged former dispatcher. “You have scenarios where the person can’t speak well [or have strong accents] — or if they’re in a domestic situation and they pretend to call for pizza or something — you have to be able to determine how someone feels or pick up on what they aren’t saying.”

Nonetheless, OPCD officials maintain that the tool operates under strict conditions and oversight, has performed reliably in its limited role, with early monitoring showing no false positives or negatives in audited periods, and is not used for other categories of 911 calls.

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AI: The Ominous Opportunity

“You can see the computer age everywhere but in the productivity statistics.” — Robert Solow, 1987

The economy has been growing steadily since we started to recover from the 2020 pandemic and shutdown; the unemployment rate is and has been near the bottom of the range normally considered to be full employment; and, wages adjusted for inflation are the highest they’ve ever been. Nevertheless, the productivity slowdown observed by Robert Solow forty years ago seems to have returned, and surveys of consumer confidence are at or near their all-time lows. This essay explores possible reasons for the productivity slowdown and widespread economic uncertainty in the midst of our AI boom.

Measurement Problems

Among the possible explanations of the productivity slowdown or what merely appears to be a productivity slowdown is our limited ability to measure productivity in an economy increasingly dominated by services.

It wasn’t so long ago that productivity was measured in the sectors of the economy concerned with physical output such as agriculture and manufacturing. The productivity of office workers was either ignored or simply subsumed into the productivity of goods-producing companies.

There were problems of measuring quality differences in goods, but these could in theory be surmounted. For example, by comparisons of the prices of old and new vintages of similar products. And, the changing composition of production could be represented by slowly-changing weights in indexes of production.

As much effort as was put into measuring production, systematic discrepancies persist in indexes of the prices of services versus the prices of commodities. The CPI, for example, typically registers a 1 or 2 percentage point higher rate of inflation than the PPI. With the digital economy, now augmented by AI, a serious effort must be made to measure the production of information, entertainment and services. For example, an hour of broadcast time prior to the development of the internet might have cost something like $1 million (in today’s dollars). What about the several hundred thousand hours of video uploaded to YouTube nowadays?

Prototypes (as Opposed to Practical Inventions)

In the past, it took a while for breakthroughs such as the steam engine to have a discernible impact on production. It was more or less a century from prototype steam engines to when steam engines were first put to a practical use (in the refreshing of air in coal mines). Then, several more decades until steam engines were used to run industrial machinery. Then, yet several more decades until steam-powered locomotives were used in transportation.

Even when the steam-powered locomotive was developed, horse-drawn trains were more reliable. The story is told of a race in 1830 between a steam-powered locomotive and a horse-drawn train along the Baltimore & Ohio Railroad from Baltimore to Endicott City. The horse won the race since the locomotive broke down. Nevertheless, over the next century, horses lost their jobs in transportation.

Ditto, the steam-powered hammer. According to folklore, John Henry who—through superhuman effort—beat the steam-powered hammer, preserving jobs for the men of railroad work gangs. Nevertheless, over the next century, men lost their jobs to industrial machinery. Warehousemen who relied on their strength to manhandle barrels of pork, flour, and other produce were replaced by forklifts. Dockworkers lost their jobs to electric-powered derricks.

It is easy, looking back, to see the impact of the Industrial Revolution on productivity, on wages, and on standards of living. But, in real time, it took time for these benefits to accrue. In the meanwhile, workers had to deal with disruptive change.

More recently, in 1996, a super-computer named Deep Blue challenged Gary Kasparov, the world chess champion of the humans. Kasparov won the match 3 games to 1 game to 2 draws. However, the victory was fleeting. A year later, Deep Blue won a rematch; and, nowadays, a decent laptop computer can easily defeat a grandmaster. Today, in the current phase of the Industrial Revolution, computers, robots, and AI are coming after our jobs, not steam-, gasoline- and electric-powered machines.

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High-Schoolers in Denmark Will Make Oral Defenses on Assignments To Curb AI Cheating

9,000 students will not cheat.

Everywhere you go, nowadays, you will run into students abusing the AI tools to get good grades.

And the Scandinavian kingdom of Denmark is no exception.

But now, Danish High school students will be required to verbally defend their written assignments, as part of emergency government measures to combat AI cheating.

Politico reported:

“A verbal defense will be needed for all exams written at home, Denmark’s Ministry of Education announced in a statement Thursday, adding that it will work with schools to create the best framework for this.

The rule, which comes into force immediately, applies to students in upper secondary education, which typically begins around age 16. It will include the approximately 9,000 students enrolled in the country’s two-year Higher Preparatory Examination program, who have to submit major written assignments each year, according to the ministry.”

High Schools will also use a firewall to keep students from accessing content to get an advantage.

“In addition, it is encouraging schools to get students to complete more assignments in school, under controlled environments, to make supervision easier.

‘Unfortunately, we have a problem with students using AI to cheat in upper secondary school’, Education Minister Magnus Heunicke said in the statement. ‘Action is needed now, and we are starting with these three initiatives’.”

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