Tag: ai

Flock Camera Mix-Up: Wisconsin Woman Pulled Over Twice at Gunpoint Due to Error

A Wisconsin woman was pulled over at gunpoint twice in one week after Milwaukee Police Department staff failed to remove a vehicle alert from the Flock license plate camera system.

Fox 6 Milwaukee reports that on Thursday, police in the Milwaukee suburb of Brookfield, Wisconsin, conducted a high-risk traffic stop on Interstate 94 after a Flock camera flagged a vehicle in connection with a Milwaukee homicide investigation. Video footage from the incident shows multiple officers with weapons drawn and a passenger extending their hands out the car window in compliance with police commands.

The vehicle’s driver, Amber Newell, and her passengers were detained during the stop. However, when Brookfield Police contacted the Milwaukee Police Department to coordinate the arrest, MPD informed them they no longer needed the vehicle or its occupants. The officers immediately released Newell and the other individuals.

According to the Milwaukee Police Department, the incident resulted from a personnel error rather than a technological malfunction. MPD staff had failed to remove the wanted vehicle alert from the Flock system after the investigation no longer required monitoring that particular car. Brookfield Police Chief Christopher Garcia stated that his officers’ actions were consistent with the information available to them at the time of the stop.

In an interview with FOX6 News, Newell described the emotional impact of the experience. “I haven’t been asleep since this has happened,” Newell said. “Every time I close my eyes, all I can see is guns.” Newell recounted the terrifying moments when police surrounded her vehicle. “My momma is like my go-to person, I wanted to call her so bad yesterday, but I’m like, if I make a sudden move, it’s gonna be over, it’s going to end my life,” Newell said.

What makes the situation even more disturbing for Newell is that this was not an isolated incident. She reported that Milwaukee police conducted a similar stop on Monday, also with guns drawn. According to Newell, officers provided no explanation, towed her vehicle, and released her without charges.

“It was very embarrassing because after they put us in cuffs, they walked us to the car, I don’t know what’s going on, I’m scared, all you see is people in they cars recording,” Newell said.

Milwaukee police declined to provide an interview regarding the incident. The department emphasized the error was related to data entry procedures rather than the Flock camera technology itself, but has not publicly addressed how similar mistakes might be prevented in the future.

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Country’s biggest teachers’ unions efforts to get DEI into AI for schools K-12 sparks backlash

he country’s two biggest teachers unions are working to get diversity, equity and inclusion (DEI) ideology into artificial intelligence models before they are used in grades K-12, sparking backlash from at least one education and parental rights advocacy group.

The unions, the National Education Association and the American Federation of Teachers, essentially say they are making such efforts, including becoming involved in the process at state-level education departments, to mitigate AI models’ “algorithmic bias.” 

The term is essentially defined as AI-generated results that are incorrect, unfair or prejudiced as a result, in part, of the prejudices, whether blind or intentional, of the model creators, typically white or Asian men.  

Such efforts were flagged in a recent report by Defending Education, a national conservative and right-of-center grassroots advocacy organization.

“Within the next few years, most K-12 schools and colleges will integrate AI into their curricula … helping students with research assignments and even creating specialized feedback for each student,” says the group before warning, “The problem is that unions, left-wing activists, and groups in the education field are already setting the foundation to use these AI tools to promote diversity, equity, and inclusion (DEI) initiatives to students during their formative years.”

While the group singles out the country’s two most powerful teachers’ unions, it cites similars efforts by such groups, associations and organizations as:

  • The California Teachers Association assisting the California Department of Education in creating guidance for K-12 schools with language advocating for “educators to approach AI with an equity lens.”
  • The American Association of School Administrators promoting the idea that “white males” are a problem in the creation of AI.

“The goal of these groups is to implement DEI ideology into AI before it can be fully integrated into America’s education system,” Defending Education continued. “If DEI is embedded in AI before schools adopt these new tools, then DEI, as part of AI, becomes institutionalized in the nation’s schools once the tools are adopted.”

Neither the AFT nor NEA responded to a request for comment.

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We’re Being Plunged Into Dystopia When We Could Be Living In Paradise

It’s funny the things that get to you when you’ve been at this for a while. 

Today the thing that smacked me upside the head and made me lay my face in my hands for a minute was a viral video clip of Canadian politician Bill Oliver accidentally reading out text from the AI chatbot which had authored his speech before the New Brunswick legislature.

“Public confidence in the office of an advocate matters,” Oliver said while reading from his prepared statement, before blurting out “Here’s a more natural, flowing version of that section that reads like a legislative speech rather than a series of short points.”

I mean, damn dude.

I can’t get over how this is the future we wound up in. Things could have been so beautiful, and instead we wound up with this.

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Pelosi Slams Dem Trying to Replace Her in House for ‘Sexist’ Campaign Chatbot

Watching the woke eat their own is an entertaining sideshow — and while it’s unfortunate when it won’t end up benefiting a Republican, at least we can take heart that Nancy Pelosi will go out slamming a thoroughly woke gay man who’s poised to replace her in Congress.

California state Sen. Scott Wiener is locked in a two-Democrat race with San Francisco Supervisor Connie Chan to replace the retiring Rep. Pelosi (or, as other Democrats love to refer to her, “Speaker Emerita Pelosi”). Wiener was first in the jungle primary in June, but given that the top two advance and second place was Chan, it’s woke vs. woke, and Pelosi has endorsed Chan’s version.

Part of Wiener’s problem in a heavily Democratic district is that he’s Jewish and won’t call Israel’s war against the terrorist group Hamas a “genocide,” which means that anti-Semitism has reared its ugly head. In addition to Pelosi’s endorsement, the San Francisco online news outlet Mission Local reported that third-place finisher Saikat Chakrabarti endorsed Chan as well, and he “shares a progressive-leaning voter base with Chan.”

Polls show the race as close; while both are crazy in their own way, Wiener tends more toward the culturally woke, trans-the-kids side, while Chan tends toward the anti-development, defund-the-police woke side. It’s like a reverse “Sophie’s Choice” — you have to keep one.

And, as in any campaign between wokeistas, there are going to be intersecting claims of prejudice. To that end, we have the rich irony of Wiener getting accused of sexism, in a letter reported by Politico, for launching a chatbot that chronicles his opponent’s foibles.

“Women have spent generations fighting to have our own voices heard in the halls of power,” Pelosi wrote in the letter, which was signed by several other female Democrats.

“We should not have to fight against artificial intelligence putting words in our mouths.”

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Scientists Warn Of Urgent AI Biosecurity Threat

For the first time, artificial intelligence has designed complete, functional viral genomes from scratch.

Oh dear.

Stanford University and Arc Institute researchers used generative AI models to produce 16 novel bacteriophages that successfully infect and kill bacteria in the lab.

Officials insist the viruses “pose no threat to people,” yet biosecurity experts are already sounding the alarm that the same technology opens the door to inventing dangerous pathogens.

The breakthrough, published in the journal Science, marks the first time generative AI has written entire viable viral genomes.

Researchers trained genome language models known as Evo 1 and Evo 2 on millions of natural genetic sequences. They then tasked the systems with designing complete bacteriophage genomes based on the well-studied ?X174 template that infects E. coli.

Of 302 synthesized designs, 16 proved fully functional: they assembled into virus particles, replicated inside bacterial cells, and in some cases outperformed the natural virus, even overcoming bacterial resistance when used as a cocktail.

Oh dear.

Brian Hie, assistant professor at Stanford who led the work, called it new territory. “This is a next step in the complexity that’s designable by generative AI, this is the first time generative AI has been used to design a complete genome, it’s something that can replicate and have other functions inside cells… this was new territory for us,” he told the BBC.

The team deliberately excluded genetic data from viruses capable of infecting complex organisms and conducted the work in a secure laboratory. The resulting phages target only specific bacteria.

Patrick Cai, a synthetic biologist at the University of Manchester not involved in the study, called it “an important milestone.”

Yet the same experts who celebrate the medical potential for phage therapies against antibiotic-resistant infections are issuing blunt warnings.

In an accompanying commentary in Science, Dr. Thomas Inglesby and Dr. Moritz Hanke of the Johns Hopkins Center for Health Security wrote that the findings raise “urgent biosafety and biosecurity questions.”

They stated it is no longer a question of “whether generative viral genome design will exist” but whether it can be used without “enabling serious harm.”

Oh dear.

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DeepSeek Resumes $74BN Mega-Raise – Then Warns It’s Jacking-Up Prices

Chinese AI startup DeepSeek is looking to raise roughly 50 billion yuan at a valuation of 500 billion yuan (US$74 billion) – while the company warned developers a day later that it’s raising prices. The resumed funding round, first reported by Chinese business outlet Caijing (via The Standard), is expected to be signed by the end of the month, with the process kept deliberately quiet; some participating institutions reportedly haven’t even been formally told the deal is back on. The pricing notice, posted Thursday to DeepSeek’s developer platform, warns that API rates will rise across the board and that the increase is expected to be “significant.”

The round restarts barely two weeks after it was shelved, and roughly six weeks after DeepSeek’s first-ever external raise in June, which pulled in some $7.4 billion from Tencent, CATL, Beijing’s National AI Industry Investment Fund, NetEase, JD.com, Monolith Management and IDG Capital at a valuation north of $50 billion (corporate filings later implied a figure closer to $52 billion). The new target is a steep markup on a deal that closed weeks ago, and the prospective investor list reportedly blends returning backers with new money that couldn’t get into round one.

As we noted last month, the round stalled because a transcript of founder Liang Wenfeng’s May 20 closed-door meeting with investors leaked onto GitHub and went viral – a document in which Liang admitted China still trails the US in AI (a gap of compute and capital, not talent, per Liang), conceded DeepSeek remains heavily dependent on Nvidia hardware, described Huawei’s substitutes as falling well short, and acknowledged the company could get its hands on processors he called “noncompliant.” 

Liang – reportedly furious over the leak – simply froze the deal.

Meanwhile, questions about how DeepSeek is obtaining restricted silicon go back to the very beginning – with federal investigators probing whether Singapore-based third parties funneled blacklisted Nvidia chips to the lab as far back as early 2025, and by that April the House Select Committee on the CCP had formally concluded that DeepSeek’s model appeared to run on tens of thousands of export-restricted Nvidia chips, branding the company a tool for “subverting” US export controls. Congress alleged it and now the founder has all but confirmed it, on (leaked) record telling investors the workaround exists – even as the company lays groundwork for a Shanghai STAR Market IPO it reportedly hopes to file this year. Should be a fun prospectus to read. 

Liang was able to hit the pause button so easily because DeepSeek’s first round routed nearly every investor’s money into a limited partnership Liang personally controls, complete with a five-year lock-up and zero voting rights. The lone exception was the state AI fund, which bought direct equity and kept its vote. Liang holds roughly 84% of the company and near-total voting control – meaning Tencent and CATL wired in billions for the privilege of watching, while Beijing holds the only outside seat at the table.

In the leaked transcript, he told investors that GPUs are the single best use of the company’s capital, that he would happily convert the entire war chest into Nvidia hardware if supply allowed, and that spending 20 billion yuan a year on processors would count as a triumph for his purchasing team. He also told them the money doesn’t go as far as it looks: even 50 billion yuan, he said, wouldn’t train a model at the scale of the largest U.S. systems, which he estimated would take roughly 50,000 Nvidia GB300s or 200,000 Huawei Ascend 950s – before the experiments that precede any final training run. Beyond the hardware, the company plans to double headcount and push into data centers and AI agents, and Reuters reports it is quietly hiring chip designers to develop in-house inference silicon – an attempt to engineer its way out of the very dependence Liang lamented.

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White House Moves to Accelerate AI Data Center Development on Federal Lands

The Trump administration has issued executive orders intended to accelerate the development of artificial intelligence data centers, including on federal lands, according to administration officials. The orders are designed to address rising electricity demand from AI computing and to strengthen U.S. competitiveness, the White House said. Data centers currently consume about 4.4 percent of total U.S. electricity, a figure projected to reach 12 percent by 2030, according to industry estimates cited by the White House. [11]

Executive Orders Direct Agencies to Open Federal Lands

The executive orders direct the Departments of Energy and the Interior to identify federal parcels for data center leases and to designate projects as priority infrastructure, according to the administration. Agencies have been instructed to expedite permitting and coordinate transmission connections, officials said. The Bureau of Land Management has already approved the Townsite Data Center project to construct, operate, and maintain a data center on 88.5 acres of public land, Sen. Edward Markey (D-MA) said on Facebook, accusing the administration of approving the “first private data center on public land using a permit meant for a solar project.” [10]

A report by Children’s Health Defense, “Cheating the System,” details how developers have exploited legal loopholes following a May 2023 Supreme Court ruling that limited Clean Water Act jurisdiction, leaving many data centers outside Environmental Protection Agency oversight or eligible for streamlined nationwide permits that require minimal review. [12]

Power Demand Drives Energy Infrastructure Plans

Officials said the data centers will require electricity from natural gas, nuclear, and geothermal sources, along with expanded high-voltage transmission capacity. Interior Secretary Doug Burgum warned the Senate that the U.S. risks losing the global AI race to China unless it prioritizes reliable, baseload electricity generation, primarily from fossil fuels, to meet the energy demands of AI and data centers. [5] In its quest for more electric power, AI data centers are forming partnerships with nuclear power providers, with utilities owning about a third of U.S. nuclear power plants in discussions with AI centers about long-term electricity supply, according to the Trends Journal. [6]

The rapid buildout raises questions about grid reliability, water consumption, and environmental impacts on previously undisturbed federal lands. Local officials across the United States say rapid construction of data centers is creating environmental and infrastructure concerns, according to NaturalNews.com. [4] The backlash against AI data centers is intensifying across America, driven by growing awareness that these facilities are escalating electricity costs and displacing resources essential for human life, including water, farmland, and energy, according to BrightVideos.com. [14] According to U.S. Labor Department data cited in the Trends Journal, electricity bills are up more than 10 percent and homeowners’ insurance is up 13 percent over the past two years. [7]

Supporters Cite Competition; Critics Raise Concerns

Administration officials and industry representatives said the buildout is necessary for U.S. leadership in AI and for national security. State lawmakers and big tech are pushing back against what they call misinformation surrounding data centers, arguing that the facilities are vital for American jobs and technological leadership, according to Just the News. [9] Interior Secretary Doug Burgum said in Senate testimony that without reliable baseload power, the United States risks falling behind China in the AI race. [5]

Opposition has also organized. More than 300 cities, towns, and counties have enacted bans or moratoriums on hyperscale construction, according to a count by The Information, and a poll cited by NBC News found 58 percent oppose local data centers. [8] Environmental groups and local residents have objected to land use and emissions, while public health advocates have cited concerns about noise and light pollution, according to BrightVideos.com. [14]

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OpenAI, Anthropic Models Created Fake Profiles, Tried To Trick Humans During Cyber Tests

Artificial Intelligence (AI) models from Anthropic and OpenAI carried out unsanctioned actions targeting multiple people and organizations during a cyber evaluation, according to the UK AI Security Institute (AISI).

AISI, which receives access to advanced AI models under voluntary agreements from major labs, put the agents through a fictional cybersecurity scenario to test capabilities.

The organization tested multiple AI models on two cyber challenges between July 25 and 28. In total, the challenges were run 122 times across several models, and in 19 cases, the AI models took “unsanctioned action on the live internet, including cases that targeted real people and organisations,” AISI said in an Aug. 4 report.

Out of these, 17 were done by Anthropic’s Mythos 5 model and two by OpenAI’s GPT 5.6 Sol model.

“This is the first time AISI has seen deception of this severity that was targeted at a real person, unprompted, in the real world. It is uncertain to what extent the model recognised it was taking actions against real people,” AISI stated in the report.

In the most serious incident, Mythos 5 tried to solve a cyber challenge by attacking GitHub, a cloud service that allows developers to store and manage code. The AI created a GitHub account and tried to get a malicious code approved by humans. Mythos 5 also created a second GitHub account, masquerading as another human user endorsing the malicious code. When a human reviewer caught the activity, the AI agent “falsely claimed to have made an honest mistake” and then repeatedly tried to reintroduce the malicious content by claiming the code was fixed.

Mythos 5 also sent multiple emails to two developers in an attempt to manipulate the recipients into running its malicious code.

According to AISI, the test runs of the various models did not result in any real-world harm. The organization said it was treating the AI actions as a “serious security incident” that requires further scrutiny.

AISI listed multiple factors that could have led to AI models acting in a concerning manner. The AIs were provided with internet access during the tests, which allowed them to carry out the unsanctioned actions.

AISI had also deliberately disabled the models’ cyberclassifiers during tests. Cyberclassifiers are systems aimed at preventing misuse.

The AI models were also not explicitly told what they were prohibited from doing on the internet, AISI said, adding that clearer instructions may have prevented the unsanctioned actions.

In an Aug. 4 blog post, AISI said that since the behavior of AI models happened under specific conditions, it cannot say how likely such behavior will be in different contexts.

“What we can say is that the behaviour was possible, sustained, and new; that alone warrants attention,” the organization said.

In an Aug. 4 post on X, Anthropic said that Mythos 5 and ChatGPT 5.6 Sol models attempted to complete their assignments in an environment where they were deliberately provided internet access and their normal safeguards were removed.

Due to the absence of specific restrictions on how the internet must be navigated and lack of safeguards, the models were tested under conditions that are “not representative of any of our production models,” Anthropic said, adding that there was no evidence in these tests of an AI escaping from a secure environment.

According to the company, it was closely working with AISI to access more details on the incident while carrying out an internal investigation on the matter.

OpenAI said in an Aug. 4 statement that it appreciated AISI’s partnership throughout the evaluation process, including the organization’s work to identify, investigate, and share details about the activity of the GPT 5.6 Sol model in their tests.

“We look forward to continuing our collaboration together,” the company said.

The Epoch Times reached out to Anthropic and OpenAI for comment but did not receive a response by publication time.

OpenAI was in the midst of another controversy last month after it admitted on July 28 that its models bypassed restrictions during an evaluation. In this case, the company was testing its models’ capabilities in carrying out cyberattacks.

AI startup Hugging Face was impacted in the test. On July 16, the startup said it detected an intrusion into its data processing systems. It was only later that the startup learned that the intrusion was carried out by an OpenAI model.

HuggingFace then worked with OpenAI to contain the attack, the startup’s CEO, Clement Delangue, said in a July 22 post on X, calling it “an attack unlike anything we’ve seen before.”

“This is day one for cybersecurity in the age of agents & we’re all learning that secrecy is not the answer & that all defenders (not just a few selected ones) everywhere need more powerful models without restrictions, especially open ones,” Delangue said.

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All Flock cameras taken down in Burnet County

The Burnet County Sheriff’s Office posted that all fixed Flock cameras in the county were taken down as of Monday.

Those cameras were installed by the Heart of Texas Auto Theft Task Force and commonly used to read license plates.

According to the sheriff’s office, two of the cameras were damaged by vandals before the removal effort. One camera was vandalized by someone who cut its mounting brackets and cables. In a separate incident, another camera was struck with a blunt object before its battery and cables were damaged. Criminal cases were opened; however, the task force said there were no known suspects in either case.

The Burnet County Sheriff’s Office tells KXAN they’ve received multiple concerns regarding the cameras.

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Dear America, We Do Not Beat China in the AI Race if We Become China in the AI Race

America is in an AI arms race. That’s the official story, anyway — a convenient narrative blasted from the teleprompters of corporate media and the podiums of bought-off politicians. We’re told that to question the wholesale surrender of our power grids, our water aquifers, and now our public lands to the data center boom is not just naive, but unpatriotic. This is the oldest trick in the book of statecraft: wrap a corporate giveaway in the flag and dare anyone to question it. The moment dissent gets reframed as disloyalty, you know you’re being scammed.

This was the raw, unfiltered message from Donald Trump at his Ratepayer Protection Pledge event, where he looked at his own constituents and told them, regarding the industrialization of their communities, “You can’t fight it. You have to go with it.” There is no clearer definition of tyranny than that. It’s the voice of an apparatus that has stopped asking for consent and started issuing commands.

Before we go further, let’s be crystal clear about what a free market actually is, and how it relates to the building of these data centers, because the term has been so grotesquely twisted it’s nearly lost its meaning. A free market is what happens when private individuals or companies make consensual deals. It is the opposite of the centrally planned, state-subsidized, resource-commandeering binge we are currently watching unfold.

And the most damning evidence that this AI boom has nothing to do with free enterprise is the simple fact that they are building it on your land. This isn’t private companies buying private property from willing sellers. This is the state acting as a real estate agent for the corporate elite, handing over vast tracts of public and military land in negotiated deals that the communities sitting next to them never got a real vote on.

Consider the facts. In Nevada, the federal Bureau of Land Management just approved the first commercial AI data center ever authorized on public land, waving aside desert tortoise habitat and the already-drought-stricken Colorado River. The agency did it, according to the conservation groups now suing to stop it, by reusing an old environmental review written for an entirely different solar project — meaning no new review and no public comment period were ever required, and the city of Boulder City itself says it was never consulted. The Department of Energy is running the same play with the wreckage of the Cold War: it has tapped SoftBank to build a 10-gigawatt AI campus at the former Portsmouth uranium enrichment plant in Ohio, selected Brookfield and NextEra for a $100 billion complex at the former Paducah uranium plant in Kentucky, and picked Amentum and DC Blox to develop a gigawatt-scale campus at the Savannah River nuclear-weapons site in South Carolina.

The Department of Defense has gotten in on it too, conditionally selecting Carlyle and CyrusOne to build hyperscale data centers on Army land at Fort Bliss, Texas, and Dugway Proving Ground, Utah, while the Air Force has offered up nearly 4,700 acres across three bases in Alaska for the same purpose. It has even trickled down to city hall: back in 2023, the Manassas, Virginia city council voted unanimously to sell 21 acres of city-owned airport land directly to Amazon for a new data center, with no ballot, no referendum, and barely a public hearing.

When the state is auctioning off the very land it supposedly holds in trust for the public, this is not capitalism. This is corporatism. It is a direct transfer of public assets into private, politically connected hands, and it makes a complete mockery of any claim to a “free market.”

With every one of these backroom deals comes the same tired promise: jobs. But the state’s own numbers expose the fraud. At a cost of roughly $13 million in investment per permanent job in Virginia, or $11 million per job in a recent New York deal, these are not job-creation programs. They are handouts to automate human labor. You’re being asked to celebrate a system where your own tax dollars subsidize the very automation that renders you obsolete.

The real costs — the ones that never make it onto the glossy brochures — are being socialized and dumped on an unwilling public. Residential electricity prices have shot up more than 36 percent since 2020, with data centers a primary driver. Dominion Energy in Virginia pushed through its first base-rate hike since 1992, and Baltimore residents saw their bills climb by more than $17 a month after a record power auction. The grid is being strained toward the breaking point, and the cost of every upgrade flows directly to ratepayers who never consented to any of it. It’s a textbook case of privatized profit and socialized loss: politically connected corporations reap the rewards, and you get handed the bill.

These facilities are also vampires, and they are draining the aquifers dry. U.S. data centers consumed more than 200 billion gallons of water last year, with roughly 93 percent of that footprint hidden inside off-site power plants where nobody’s looking. In drought-stricken Texas, consumption is projected to explode 714 percent by 2030, yet a state legislative hearing revealed that a staggering 83 percent of the state’s data centers simply refused to comply with mandatory water reporting. This stops being a negotiation and becomes the outright seizure of a shared public resource, with the state acting as armed lookout for the plunder.

It becomes something far more sinister when you remember what a lot of this infrastructure is actually for. Data centers themselves are neutral, but their deployment by the state is not. When the Department of Defense leases military land to build data centers, it isn’t for hosting cat videos. It is the physical construction of a turnkey surveillance apparatus, built on the one category of American ground that is already unambiguously controlled by the government, with none of the normal local checks that even a private developer would face. We are being told to subsidize the very infrastructure that is increasingly being used to watch our every move — and to do it on land we collectively own.

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