Tag: ai

New world Order Takeover Blurring the Boundaries

Not so long ago, to coincide with a presentation, Pope Leo XIV published a declaration, his first encyclical, consisting of some 42,000 plus words “Magnifica Humanatas.” 

What made this presentation unique was the fact that it’s the first in papal history dedicated to AI (Artificial intelligence).

In this declaration, in front of leading religious figures and Christopher Olah, representing left-wing biased OpenAI researchers, Anthropic, Pope Leo XIV addresses serious issues/concerns: 

“The fight against new forms of slavery is a decisive test for the ethical discernment of AI and digital transformation.”

He went on to say that: “If technology promises emancipation, yet produces new forms of global subordination, it stands in contradiction to the fundamental principle of human dignity…”

For more on this, have a look at the Vatican’s website on “Safeguarding the human person in the time of human intelligence.”

In other words, like Pope Leo XIV, many of us are gravely concerned that governments have not put in enough regulation, allowing profit-driven private corporations unchecked advances in AI 

Consequences include: Ongoing threats to many humans losing their jobs to AI takeover, fake AI-generated content, online cyber-attacks, indiscriminate warfare…  

(Note: Funny how the Pope never mentioned the fact that the global cult have both the tech companies and the government in their pockets!)

-The Pope pledged allegiance to finding a suitable pathway for humanity in this AI age…

AI Enslavement

This AI agenda is a human enslavement program orchestrated by the global cult. The cult uses its AI frontmen to give it an apparent “soft-sell.”

As with other controlling agendas for their New World Order (NWO) advancement, the global cult use the tactic of blurring the boundaries. 

They have deliberately distorted, blurred the boundaries between that which separates AI from human: 

Blurring the boundaries that separate inhumanity from the humanity, robot from human, fake from real representations, AI from human intelligence as humans are being dumbed-down, freedom from enslavement…

There are other ways whereby the global cult agenda uses the tactic of blurring the boundaries for advancing their NWO takeover: 

*Immigration swamping Western world countries with immigrants

In short, the global cult are blurring the geopolitical boundaries to advance their agendas for global takeover. 

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Nadella’s Hedge: Microsoft Wants To Make AI Models Cheap – Then Own The Rails They Run On

The entire AI capital cycle – roughly $700 billion in hyperscaler capex this year, an estimated $2 trillion-plus through 2028 – is collateralized by one belief: that intelligence is scarce, and therefore priceable. That belief is already under strain. Per-token inference prices have fallen on the order of 200× in a year, and the only thing holding revenue up is volume; the cost of intelligence is dropping even as the cost of deploying it climbs. Hyperscaler free cash flow is rolling over. The Fed has named AI capital spending a systemic risk. 

And after falling behind in the race to build the best AI, Microsoft is setting up for a massive hedge. The company is on track to spend north of $120 billion this fiscal year – most of it on GPUs and the data centers that house them, $37.5 billion in a single quarter alone, pushing free cash flow negative for the first time in a generation. That is a company betting intelligence is scarce. Yet to the Wall Street Journal last week, Nadella argued the opposite is coming – that intelligence is about to get cheap. The tell isn’t a contradiction. It’s a hedge: if you can’t win the race to build the best model, you make the model worthless and own the road it runs on.

Microsoft is already executing on the hedge. In the weeks surrounding the interview, the company rolled out a new wave of lower-cost models and made Copilot Cowork generally available worldwide – an autonomous agent designed for long-running tasks that lets users (or the system) dynamically route work across multiple models, explicitly including cheaper options. Axios reported that Microsoft is also actively weighing whether to host a version of DeepSeek, the ultralow-cost Chinese model, directly inside Azure for Copilot customers. The model would be optional for users, fully hosted on Microsoft’s infrastructure, and wrapped in the company’s enterprise security, compliance, and data-residency controls.

These aren’t side-quests, they are the product-level proof of the thesis: make intelligence abundant and interchangeable while keeping the customer, the data, and the workflow inside Microsoft’s perimeter.

Nadella believes intelligence is about to become abundant, interchangeable, and cheap, as a wave of agents routes work to the lowest bidder. And as the cost per unit of intelligence plummets, he wants Microsoft to own the rails it runs on.

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Elon Musk’s SpaceX IPO Spurs Momentum for Orbital AI Data Centers

The concept of building AI data centers in orbit has gained renewed momentum following SpaceX’s record-breaking IPO that raised over $85 billion and valued the company in the trillions. Elon Musk’s success and the massive pushback against AI data centers in rural and suburban communities has spurred competitors including Jeff Bezos to develop their own plans for space-based data centers

CNBC reports that the successful public debut of SpaceX, which raised $85 billion and made Elon Musk the world’s first trillionaire, has brought the once far-fetched idea of space-based AI data centers into the realm of plausibility. While significant skepticism remains about the economic viability of the concept, industry experts and investors suggest the massive capital infusion could accelerate development of orbital computing infrastructure.

SpaceX now possesses several key components necessary for space-based data centers, including reliable reusable Falcon rockets, plans for more powerful launch vehicles, its xAI division with substantial computing needs, and the upgradeable Starlink satellite network. The company’s interconnected operations now have billions in new capital to potentially integrate these elements and serve both internal AI operations and commercial customers such as Anthropic.

Breitbart News previously reported that Musk unveiled his plans for orbital AI data centers shortly before the SpaceX IPO:

The AI data center satellite, which Musk characterized as a preliminary version of the final design, will stand 20 meters tall with an expansive wingspan of 70 meters. These dimensions make it the largest satellite SpaceX has ever attempted to launch. The structure features a rack of AI chips flanked by extensive solar panels and liquid radiators for thermal management.

Musk described the current design as a draft iteration of what will become the operational version. He noted that the satellite is considerably less complex than SpaceX’s Starlink satellites, which the company has been deploying since 2019. Much of the technology draws from systems already developed for the satellite internet service.

“We don’t think this is a super hard problem, compared to things we already do,” said Musk.

Duncan Davidson, a partner at Bullpen Capital, stated on CNBC’s The Exchange that “The company comes down to data centers in space. That is the big, long-term play.” Davidson noted that while engineering and technical challenges are being addressed, the economics remain marginal at present. However, he expressed optimism about the long-term business case as launch costs decrease while terrestrial data center expenses continue rising.

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Meta pauses an AI training program that tracks employees’ keystrokes after an internal leak

Meta is pausing an internal AI training program after sensitive data was accessible across the entire company, according to screenshots obtained by Business Insider.

A screenshot showed that the leak exposed employees’ private conversations, performance data, and transcriptions. The incident was classified as a SEV 2 on a scale of 0 to 5, with 0 being the most severe.

A Meta spokesperson confirmed the incident and said the company is investigating.

“We have carefully designed this program with privacy safeguards, and while we have no indication at this time that any data was improperly accessed by Meta employees, we’re pausing it while we investigate,” the spokesperson said.

In April, Meta announced the AI training program, called the Model Capability Initiative (MCI), which was intended to improve the company’s AI models by using its staff’s keystrokes and mouse movements as training data. The program, which is mandatory for most staff, sparked a backlash from employees who felt uncomfortable with their data being recorded, Business Insider previously reported.

This leak is causing frustration within Meta, according to screenshots seen by Business Insider, with employees critical that data wasn’t locked down from the start.

“I am incensed,” one employee wrote on Monday about the recent leak in an internal group, according to a screenshot obtained by Business Insider.

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Absurd! Stanford Education Initiative Funds AI ‘Labor Equity’ Project for Illegals

In the latest absurd left-wing Globalist initiative, Campus Reform is reporting “The Stanford University Graduate School of Education’s ‘Equity in Learning Initiative’ has awarded 11 seed grants for 2026, including one dedicated to researching how Artificial Intelligence can achieve ‘labor equity’ for ‘undocumented migrant adults.”

In other words, DEI is back at Stanford and is helping illegal aliens who shouldn’t be in America.

“The grants appear under the heading of ‘Tequity in Learning’—a combination of ‘technology’ and ‘equity’—on the Stanford Accelerator for Learning’s website. The Stanford Accelerator for Learning is housed under the Graduate School of Education.”

Among these outrageous open borders pro-illegal projects are “Toward a Black Geographic Approach to Education Research: A Participatory Mapping Project” and “An Integrated AI/Physical Platform to Dismantle Inequities in Biotechnology Education.”

This is illegal according to Federal executive orders, yet somehow these universities remain committed to illegal aliens and DEI.

“Goldwater Institute reports have shown that faculty in schools of education often pursue politicized ‘scholarship’ that focuses on indoctrinating students in ‘diversity, equity, and inclusion’ (DEI) rather than exploring how to better teach math and reading,” according to a conservative watchdog group.

With reading scores at pathetic levels, one would hope schools would focus on basic academics, yet the evidence shows DEI and illegal alien accommodations remain a priority for WOKE educators.

“The university eliminated a program to assist “underrepresented” groups in higher education in February. The fellowship had previously funded over 200 doctoral students who “contribute[d] to the diversity of their field or degree program.”

The bottom line is, if one is looking for a quality education, not brainwashing or being fed leftist talking points, the university is not for you. Sad but true.

Illegals must be deported, not elevated and given preferential treatment.

The university should not be a safe space for lawbreakers.

Stanford has a reputation for leaning conservative, apparently this is incorrect.

The academy must comply with federal law and not be a sanctuary space for illegal aliens or foreign criminals.

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“It’s That Bad”: Virginia Residents Battling Constant Noise From Data Center Generators

For more than a year, residents living next to the Vantage Data Centers facility have endured what they describe as a constant, high-pitched whining or ringing sound coming from the site’s massive backup generators – the facility’s only source of electricity.

Unlike most data centers connected to the power grid, this facility runs entirely on its own on-site power plant. What residents were told would be temporary generator testing has become permanent operation.

“They’re Just Never Turned Off”

Neighbor Hari Doue told News Nation that the community was initially assured the generators were only being tested for emergencies.

“We were told in the beginning that they test the generators to make sure they’re working in case of an emergency. And then as the year and the months have gone on, they’re just never turned off,” Doue said. 

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8 Frightening Forecasts For The Future Of Fraud

Fraud is entering a new era. Businesses across North America expect fraud trends like biometric fraud, deepfake scams, and synthetic identities to become more common in 2026 as criminals adopt faster and more sophisticated tools.

This visualization, created by Visual Capitalist’s Julia Wendling, in partnership with Inigo for the Fraud in Data campaign’s sixth post, uses data from the Sumsub Fraud Report 2025 to explore the fraud trends businesses believe will shape the future of digital risk.

Biometric Fraud Could Become the Biggest Threat

Surveyed businesses expect biometric fraud to rise the most, with 67% predicting an increase. As companies rely more on facial recognition, voice authentication, and remote onboarding, fraudsters are finding new ways to exploit those systems.

Deepfake technology is already making identity verification harder. In the future, AI-generated videos, cloned voices, and stolen biometric data could make fraud attempts more convincing and more scalable than ever before.

Businesses also expect synthetic identity fraud to grow, with 56% anticipating a rise. Criminals are increasingly combining real and fake information to create identities that can bypass traditional fraud checks.

AI and Deepfakes Are Changing Fraud Trends

Businesses expect fraud attacks to become more automated in 2026. Around 44% predict increases in advanced AI-driven attacks, deepfake scams, and forged identity documents.

Another 33% expect AI-generated fake profiles to rise as fraudsters use generative AI tools to impersonate real users online. These scams could become faster to produce and harder to detect across financial services, ecommerce, and digital platforms.

As fraud tactics evolve, businesses may need to shift from reactive fraud prevention toward real-time risk monitoring powered by machine learning and behavioral analysis.

Data Breaches Will Continue to Fuel Identity Fraud

Data breaches are expected to remain a major source of fraud risk. About 33% of businesses anticipate more identity theft linked to stolen personal data.

Organized fraud networks are also expanding, according to 22% of respondents. As cybercriminal groups become more coordinated, fraud operations could become increasingly global and industrialized.

The Future of Fraud Trends

Companies that invest in adaptive verification systems, stronger cybersecurity, and understand the data around fraud prevention may be better positioned to respond to the next generation of threats.

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US Govt Plans to Crush Anti-AI ‘Extremism’

New documents from U.S. government agencies such as the F.B.I. and Department of Homeland Security show that Washington is preparing for widespread anti-A.I. riots, as the technology destroys communities and industries across the country.

Ironically, the Trump administration is already using invasive A.I. technology to identify and suppress what it calls anti-A.I. “extremists,” and in the process, sweeping the entire nation into its massive surveillance dragnet. 

More than 1,000 pages of leaked documents reviewed by WIRED Magazine show that government agencies are anticipating a huge wave of domestic unrest in the coming years, as artificial intelligence upends American society. Automation-related job losses could shatter entire industries, while the building of gigantic data centers will remove water and electricity from public use, ramping up the price of what little remains. 

As one report from the New York Intelligence and Counterterrorism Bureau, [a division of the New York City Police Department], notes: 

“The chaotic atmosphere that may result from emergent A.I. technology in the next five years may fuel large-scale protests that devolve into civil unrest and anti-tech violent extremist activity, especially in large urban areas such as New York City.”

An Environmental & Health Catastrophe 

Last year, the tech industry collectively spent around half a trillion dollars on the construction of new data centers. These buildings consume near insatiable amounts of energy and water. By 2030, they are expected to represent around 12 percent of total U.S. electricity consumption. One large data center consumes up to 5 million gallons of water per day — as much as a small city. It has been calculated that a single 100-word A.I. prompt to a chatbot like Claude or ChatGPT uses over half a liter of water, equivalent to one bottle.  

When a data center moves into town, utility prices skyrocket. In this situation, wholesale electricity, for example, jumps by up to 267 percent. Ordinary Americans cannot compete with the likes of Amazon or Microsoft, and can be priced out of even the most basic necessities of life, causing widespread resentment. 

Living near a data center can also be hazardous to human health. Thanks to the low-frequency noises they produce, residents often report chronic symptoms such as insomnia, vertigo and nausea. Worse still, to meet their enormous energy demands, data centers often rely on gas or diesel generators, which emit high levels of nitrogen oxides, fine particular matter and so-called “forever chemicals” into the air, further complicating the situation.

A.I. will also have a profound effect on employment. Goldman Sachs predicts that, over the next decade, 300 million jobs could be lost to A.I.-based automation. Sam Altman, CEO of ChatGPT’s parent company, OpenAI, has suggested that whole industries may be replaced by his product. “Entire classes of jobs will go away and not come back,” he confidently stated in 2019. Facing growing public anger, last month, he walked those statements back, assuring the public that there would be no “jobs apocalypse.”

But if these predictions are anything close to correct, it will cause massive economic disruption across America, and send towns and entire cities dependent on certain types of work into potentially permanent depressions. The latest news that Washington is preparing to treat this unrest as akin to terrorism should be of great concern to all Americans. 

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Google’s New AI-Fueled Search Bar Threatens to Further Upend Journalism Industry

Google made an announcement last month that could turn the journalism world upside down, accelerating the internet’s shift toward an overwhelmingly AI-driven landscape and serving the Trump agenda of media suppression.

At its developer conference in May, the company announced the most disruptive changes to Google Search in over 25 years. Google Search will further demote its index of the web — a list of links that information-seekers can explore as they choose. Instead of prominently displaying links, it will increasingly become a destination that answers questions directly through AI, linking only to the sources it decides to reference in its overview. On the majority of our tests, the AI overview was followed by a heavy block of sponsored results and a combination of videos, short clips, trending posts, and discussions. Index links — for example, to articles on news sites and research studies — were given only a small fraction of real estate. Additionally, Google is aggressively pushing readers to use AI Mode, which completely removes the index links.

In practical terms, this means users of the world’s largest search engine will see, in response to their queries, a summary generated by an AI bot developed by a corporate behemoth with close ties to the Trump White House.

This seismic move builds upon the launches of AI Overview in 2024 and AI Mode in 2025, shifting toward nearly eliminating the user’s ability to search autonomously, and toward an overwhelmingly AI-driven experience of the internet (and therefore, for many people, of life).

We must take into account the political context in which this shift transpires. Alphabet (Google’s parent company), along with Facebook’s parent company (Meta), as well as Amazon, Apple, Microsoft, and Nvidia, were among major tech companies that donated to President Donald Trump’s inauguration. They have also consistently capitulated to Trump’s recent manipulations.

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UK police officer uses AI to create evidence in multiple criminal cases

Law enforcement agencies across the world have rushed to integrate AI into their investigations, promising faster arrests and higher case closure rates. The rising number of wrongful arrests attributed to AI facial recognition systems, however, tells another story: that speed and accuracy are two entirely different things.

But while false arrests due to facial recognition software can easily be blamed on glitchy technology, an even more disturbing pattern is starting to emerge, as AI-wielding officers don’t just misidentify suspects, but use the technology to fabricate evidence.

Over the weekend, the BBC reported that officials in Derbyshire County, England, are investigating one law enforcement officer who’s alleged to have used generative AI to “create evidential material in a number of cases.”

The yet-unnamed officer has not been arrested, but has been suspended from duty pending the outcome of the investigation, which is reportedly being undertaken by Derbyshire police and the Crown Prosecution Service.

“A criminal investigation has been launched into an allegation of perverting the course of justice after the alleged use of AI systems by an officer to create evidential material in a number of cases,” a Derbyshire police spokesperson told the Financial Times.

It’s the first case of its kind in the UK, coming days after the country’s brand-new national PoliceAI centre issued guidance advising officers to stop using generative AI to prepare court statements due to the tech’s tendency to hallucinate answers.

“We’ve said to some police forces, ‘you can’t do that, because we haven’t gone through all the checks and balances’,” Alex Murray, head of the PoliceAI centre, told the Financial Times in an interview. “We need to slow it down a bit.”

While AI hallucinations have indeed found their way into police reports due to laziness – like the case of Utah police whose report claimed an officer transformed into a frog – the seriousness of the Derbyshire investigation suggests that’s unlikely to be the case here.

If anything, it sounds more like the Maine cops who were caught last year posting photographs of a “drug bust” that had clearly been tampered with using generative AI.

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