Tag: technology

‘Intellexa Leaks’ Reveal Wider Reach of Predator Spyware

Highly invasive spyware from consortium led by a former senior Israeli intelligence official and sanctioned by the US government is still being used to target people in multiple countries, a joint investigation published Thursday revealed.

Inside Story in Greece, Haaretz in Israel, Swiss-based WAV Research Collective, and Amnesty International collaborated on the investigation into Intellexa Consortium, maker of Predator commercial spyware. The “Intellexa Leaks” show that clients in Pakistan – and likely also in other countries – are using Predator to spy on people, including a featured Pakistani human rights lawyer.

“This investigation provides one of the clearest and most damning views yet into Intellexa’s internal operations and technology,” said Amnesty International Security Lab technologist Jurre van Bergen.

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WHO–Gates Unveils Blueprint For Global Digital ID, AI-Driven Surveillance, & Life-Long Vaccine Tracking For Everyone

In a document published in the October Bulletin of the World Health Organization and funded by the Gates Foundation, the World Health Organization (WHO) is proposing a globally interoperable digital-identity infrastructure that permanently tracks every individual’s vaccination status from birth.

The dystopian proposal raises far more than privacy and autonomy concerns: it establishes the architecture for government overreach, cross-domain profiling, AI-driven behavioral targeting, conditional access to services, and a globally interoperable surveillance grid tracking individuals.

It also creates unprecedented risks in data security, accountability, and mission creep, enabling a digital control system that reaches into every sector of life.

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Is AI a Catalyst for Growth–or For Collapse?

Yes, AI is a catalyst. But for what is not yet knowable.

The current narrative holds that the big problem we need to solve is conjuring up cheap energy to power AI data centers. Fortunately for us, the solutions are at hand: building modular nuclear power plants at scale and tapping North America’s vast reserves of cheap natural gas.

Problem solved! With cheap energy to power all the AI data centers, we’re on a trajectory of fantastic growth of all the good things in life.

Let’s consider the implicit assumptions buried in this narrative.

1. The unspoken assumption here is AI will solve all our problems because it’s “smart.” But this assumes the problems are intellectual puzzles rather than self-reinforcing, self-destructive structures fueled by corruption and perverse incentives embedded in the system itself.

2. The assumption is that if we replace human workers with apps and robots, that will automatically generate Utopia. But this is based on a series of baseless, pie-in-the-sky assumptions about human nature and the nature of social and economic structures.

3. The assumption is that being “entertained” by staring at screens all day is the foundation of human fulfillment and happiness, and so getting rid of human work will usher in Nirvana. The reality is humans are hard-wired to find fulfillment in purposeful, meaningful work that is valued by others. Staring at “entertainment” on screens all day isn’t fulfillment, it’s deranging and depressing.

This is human nature in a nutshell: Idle hands are the devil’s workshop.

4. Another assumption is that every technological revolution generates more and better jobs by some causal mechanism. But there is no law of nature that technology inevitably creates more jobs than it destroys, or that the resulting jobs are more rewarding. That recent history supports this idea doesn’t make it a causal law of nature. By its very nature, AI destroys jobs while generating few replacement jobs.

The handful of top AI programmers are paid (or promised) millions of dollars; the industry doesn’t need more than a handful of top designers because AI can generate its own conventional coding.

5. This narrative assumes AI will be immensely profitable and the profit motive will push its limitless expansion. But once again, there are no laws of nature that every new technology is inevitably immensely profitable just because it’s a new technology.

If the projected use-value doesn’t materialize, the investment in the new tech is mal-invested–a stupendous waste of capital chasing a delusional pipe dream. Some percentage might generate some use-value, but this use-value may be obsoleted long before the massive initial investment pays off.

6. Even if the new technology continues expanding, the speculative bubble can deflate 80%. This is the lesson of the dot-com era: that the Internet continued to expand didn’t mean the speculative bubble continued inflating: the speculative bubble is not the same thing as the actual use-value in the real world.

The Internet continued expanding even as the dot-com stock bubble collapsed. In other words, this is the best-case scenario: if the use-value of AI is questionable, then the losses can approach 100%.

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Twin Brothers Charged with Plotting to Delete Government Databases and Steal Private Info

Two Virginia twin brothers were arrested for their alleged roles in destroying government databases hosted by a federal government contractor, the Justice Department said on Wednesday.

Muneeb and Sohaib Akhter, both 34 years old, were indicted in November for allegedly plotting to destroy databases used to store government information.

Muneeb was charged with conspiracy to commit computer fraud and to destroy records, two counts of computer fraud, theft of government records, and two counts of aggravated identity theft, while Sohaib was charged with conspiracy to commit computer fraud, destroying records, and computer fraud.

Bloomberg News reported in May how the two former federal contractors had compromised data across many government agencies, which includes the Internet Revenue Service (IRS) and the General Services Administration (GSA).

The Akhter brothers also pled guilty in 2016 to federal charges of conspiracy regarding data breaches at the State Department and a cosmetics company. The two worked at Opexus, a federal contractor that helped process government records.

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Acoustic Levitation Breakthrough Uses Sound to “Float” Multiple Objects in Midair

Austrian scientists working to perfect acoustic levitation have broken through a critical barrier by using electrical charges, allowing them to lift several objects simultaneously while maintaining their separation.

The researchers behind the breakthrough suggest that their new approach will offer researchers in micro robotics, materials science, and other emerging fields that rely on creating dynamic structures from small building blocks an unprecedented capability of simultaneously manipulating several objects in mid-air without them clumping together.

Scott Waitukaitis, now an assistant professor at the Institute of Science and Technology Austria (ISTA), began evaluating acoustic levitation in 2013 when the technology was still in its nascent phases.

“While acoustic levitation was being used in acoustic holograms and volumetric displays, it was essentially geared toward applications,” the professor explained in a statement detailing the ISTA team’s work. “I had the impression that the technique could be used for much more fundamental purposes.”

A central limitation to expanding acoustic levitation beyond these applications is a phenomenon the team called “acoustic collapse.” Although individual particles can be levitated and manipulated in mid-air with sound, the ISTA team said that when researchers tried to levitate multiple particles simultaneously, they tend to “snap together like magnets in mid-air.”

“This ‘acoustic collapse’ occurs because the sound scattering off the particles creates attractive forces between them,” they explain.

When hunting for solutions, Sue Shi, a PhD student in the Waitukaitis group and the first author of the study, said they initially tried to separate levitated particles individually so they would form into repetitive patterns.

“Originally, we were trying to find a way to separate levitated particles so that they would form crystals,” Shi explained.

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The AI Economy And The Public Risk Few Are Willing To Admit

Artificial intelligence is being sold as the technology that will “change everything.” Yet while a handful of firms are profiting enormously from the AI boom, the financial risk may already be shifting to the public. The louder the promises become, the quieter another possibility seems to be:

What if AI is not accelerating the global economy – but masking its slow down?

The headlines declare that AI is transforming medicine, education, logistics, finance, and culture. But when I speak with people in ordinary jobs, a different reality emerges: wages feel sluggish, job openings are tightening, and the loudest optimism often comes from sectors most financially invested in the AI narrative.

This raises an uncomfortable question: Has AI become a true engine of prosperity — or a financial life-support system?

The Mirage of Growth

Recent economic data suggests that a significant portion of U.S. GDP growth is being driven not by broad productivity, but by AI-related infrastructure spending — especially data centers.

A study from S&P Global found that in Q2 of 2025, data center construction alone added 0.5% to U.S. GDP. That is historic. But what happens if this spending slows? Are we witnessing genuine economic expansion — or merely a short-term stimulus disguised as innovation?

This pattern is not new. In Ireland in 2008 — before the housing collapse — construction boomed, GDP rose, and skepticism was treated as pessimism. The United States experienced something similar the same year: real estate appeared to be a pillar of prosperity — until it wasn’t. On paper, economies looked strong. In reality, fragility was already setting in.

Today, echoes of that optimism are returning — except this time, the bubble may be silicon, data, and expectation.

The Productivity Paradox

AI has been presented as a labor-saving miracle. But many businesses report a different experience: “work slop” — AI-generated content that looks polished yet must be painstakingly corrected by humans. Time is not saved — it is quietly relocated.

Studies reflect the same paradox:

  • According to media coverage, MIT found that 95% of corporate AI pilot programs show no measurable ROI.
  • MIT Sloan research indicates that AI adoption can lead to initial productivity losses — and that any potential gains depend on major organizational and human adaptation.
  • Even McKinsey — one of AI’s greatest evangelists — warns that AI only produces value after major human and organizational change. “Piloting gen AI is easy, but creating value is hard.”

This suggests that AI has not removed human labor. It has hidden it — behind algorithms, interfaces, and automated output that still requires correction.

We are not replacing work. We may only be concealing it.

AI may appear efficient, but it operates strictly within the limits of its training data: it can replicate mistakes, miss what humans would notice, and often reinforce a consensus version of reality rather than reality itself. Once AI becomes an administrative layer — managing speech, research, hiring, and access to capital — it can become financially embedded into institutions, whether or not it produces measurable productivity.

As I explore in the book Staying Human in the Age of AI at that point, AI does not enhance judgment — it administers it. And then we should ask:

Is AI improving society — or merely managing and controlling it?

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Panic In Russia As Hundreds Of Porsches Mysteriously Shut Down

On Monday, December 1, hundreds of Porsche owners across Russia awoke to discover that their prized German cars had effectively turned into motionless bricks on wheels. Reports now suggest that Porsche’s own Vehicle Tracking System, or VTS, may be at the center of the mystery.

Whether the culprit is a software update gone wrong or a deliberate move from a third party, the outcome is the same. From Moscow to Krasnodar, drivers are finding themselves stranded with cars that refuse to respond.

The issue impacts Porsche models dating back to 2013, all of which have a factory Vehicle Tracking System. If the VTS loses satellite signal, it automatically activates the engine immobilizer and stops the car from working.

Rolf Group service director Yulia Trushkova told the Daily Mail that “all models and all engine types” are affected, with shops fielding waves of identical complaints.

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U.S. Tech Giants Palantir and Dataminr Embed AI Surveillance in Gaza’s Post-War Control Grid

American surveillance firms Palantir and Dataminr have inserted themselves into the U.S. military’s operations center overseeing Gaza’s reconstruction, raising alarms about a dystopian AI-driven occupation regime under the guise of Trump’s peace plan.

Since mid-October, around 200 U.S. military personnel have operated from the Civil-Military Coordination Center (CMCC) in southern Israel, roughly 20 kilometers from Gaza’s northern border. Established to implement President Donald Trump’s 20-point plan—aimed at disarming Hamas, rebuilding the Strip, and paving the way for Palestinian self-determination—the center has drawn UN Security Council endorsement.

Yet no Palestinian representatives have joined these discussions on their future. Instead, seating charts and internal presentations reveal the presence of Palantir’s “Maven Field Service Representative” and Dataminr’s branding, signaling how private U.S. tech companies are positioning to profit from the region’s devastation.

Palantir’s Maven platform, described by the U.S. military as its “AI-powered battlefield platform,” aggregates data from satellites, drones, spy planes, intercepted communications, and online sources to accelerate targeting for airstrikes and operations. Defense reports highlight how it “packages” this intelligence into searchable apps for commanders, effectively shortening the “kill chain” from identification to lethal action.

Palantir’s CTO recently touted this capability as “optimizing the kill chain.” The firm secured a $10 billion Army contract over the summer to refine Maven, which has already guided U.S. strikes in Yemen, Syria, and Iraq.

Palantir’s ties to Israel’s military run deep, formalized in a January 2024 strategic partnership for “war-related missions.” The company’s Tel Aviv office, opened in 2015, has expanded rapidly amid Israel’s Gaza operations. CEO Alex Karp has defended the commitment, declaring Palantir the first company to be “completely anti-woke” despite genocide accusations.

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Fiber Optic Drones That Can’t Be Jammed Are Leaving Webs of Wires Everywhere in Ukraine’s Battlefields

Web of death covers the Ukrainian fields.

Drones have become the most lethal weapons in the Russia-Ukraine war, from small user-quality quadcopters dropping bombs, up to sophisticated attack drones like the Iranian Shahed (called by Russians ‘Geran’) flying in swarms.

The inexpensive devices have all but retired the million-dollar tanks, and a technological EW race was on to find ways to jam the frequencies of the drones, disturbing the operator’s control and crashing them off-target.

That was going on for a while, until small, unjammable drones controlled by fiber-optic cables began dominating the battlefields.

They have become so integral to Russian and Ukrainian operations that they leave massive trails of cabling everywhere, turning the battlefield into a tangled web.

Business Insider reported:

“As a counter to extensive electronic warfare, fiber-optic drones are becoming increasingly prevalent on both sides. And with sprawling cables stretched across the battlefield, soldiers are moving with greater caution.

‘You see the little webs, and you never know — is it from the fiber-optic drone? Or it’s a part of a booby trap’, Khyzhak, a Ukrainian special operator who for security reasons could only be identified by his call sign (“Predator” in Ukrainian), told Business Insider. Mines and traps have also been prominent threats in this war.”

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Amazon Data Center Linked to Cluster of Rare Cancers

For the hundreds of communities who’ve been saddled with data centers in recent years, the bulky fixtures are sources of unbearable noise, soaring energy prices, and plenty of electrical fires.

Add another grim possibility to that list: debilitating rare cancers.

Reporting on the “data center boom” in the state of Oregon, Rolling Stone tells the story of Jim Doherty, a cattle rancher and former county commissioner of Morrow, in eastern Oregon.

Doherty’s story began when he noticed a rise in bizarre medical conditions among the county’s 45,000 residents, linked to toxins in the local water. Working with the county health office, the rancher-turned-official began a survey of 70 wells throughout his jurisdiction — 68 of which, his testing found, violated the federal limit for nitrates in drinking water.

Of the first 30 homes he visited, Doherty told RS that 25 residents had recently had miscarriages, while six had lost a kidney. “One man about 60 years old had his voice box taken out because of a cancer that only smokers get, but that guy hadn’t smoked a day of his life,” he told the publication.

But the spike in cancer-causing pollution wasn’t just the fault of local farms, as Doherty expected. It had its roots in a 10,000 square foot data center by the commerce giant Amazon, which first went online in Morrow County in 2011.

Basically, the allegations go like this: industrial megafarms operating in the area are responsible for churning out millions of gallons of wastewater, laden with nitrates from fertilizers. All that waste has to go somewhere, which is one way of saying it mostly ends up in the ground.

Amazon’s hulking data center, thirsty for water to cool its blazing hot computer chips, supercharged this process, adding millions of gallons of wastewater a year to the heavy volume of farm runoff, which Morrow County was already struggling to keep up with. Soon even the deepest reaches of the local aquifer were tainted, according to RS, as huge volumes of data center and agricultural wastewater saturated the water table.

This meant that the data center itself began taking on the toxic sludge as it drew on groundwater to cool its electronics. When it did, evaporation only further concentrated the wastewater, which occasionally contained nitrate levels eight times higher than Oregon’s safe limit. The super concentrated data center water then made its way back into the waste system, where it ostensibly piled up all over again.

In response to the allegations, Amazon spokesperson Lisa Levandowski said that “our data centers draw water from the same supply as other community members; nitrates are not an additive we use in any of our processes, and the volume of water our facilities use and return represents only a very small fraction of the overall water system — not enough to have any meaningful impact on water quality.”

Morrow County residents, however, beg to differ.

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