Tag: ai

Hypersonics, AI, Space Weapons, & Directed Energy: Lawmakers Release Defense Bill As Expiring Obamacare Subsidies Marinate On Back-Burner

With Congress in its second-to-last week in session for this year, lawmakers on the House Armed Services Committee released the final bill text of the 2026 National Defense Authorization Act (NDAA) Sunday night, which allocates a topline of roughly $8 billion over the $892.6 billion the Department of Defense had requested, and what the House version of the NDAA provided which stuck to the Pentagon’s request. 

The NDAA is the annual law passed by Congress that sets the budget, policies, and legal authorities for the U.S. military and national defense programs. It shapes everything from troop pay to weapons development and foreign military aid.

“This year’s National Defense Authorization Act helps advance President Trump and Republicans’ Peace Through Strength Agenda by codifying 15 of President Trump’s executive orders, ending woke ideology at the Pentagon, securing the border, revitalizing the defense industrial base, and restoring the warrior ethos,” House Speaker Mike Johnson (R-LA) said in a Sunday statement. 

The $8B increase is a ‘compromise‘ – as the Senate tried to jack the budget up by $32 billion over the department’s request. According to Breaking Defense, Rep. Adam Smith, the ranking member of the House Armed Services Committee, noted that appropriators would have the last word on the final budget, but was optimistic that the $8 bullion figure was in the ballpark.

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The Trump Administration’s Top Nuclear Scientists Think AI Can Replace Humans in Power Plants

During a presentation at the International Atomic Energy Agency’s (IAEA) International Symposium on Artificial Intelligence on December 3, a US Department of Energy scientist laid out a grand vision of the future where nuclear energy powers artificial intelligence and artificial intelligence shapes nuclear energy in “a virtuous cycle of peaceful nuclear deployment.”

“The goal is simple: to double the productivity and impact of American science and engineering within a decade,” Rian Bahran, DOE Deputy Assistant Secretary for Nuclear Reactors, said.

His presentation and others during the symposium, held in Vienna, Austria, described a world where nuclear powered AI designs, builds, and even runs the nuclear power plants they’ll need to sustain them. But experts find these claims, made by one of the top nuclear scientists working for the Trump administration, to be concerning and potentially dangerous. 

Tech companies are using artificial intelligence to speed up the construction of new nuclear power plants in the United States. But few know the lengths to which the Trump administration is paving the way and the part it’s playing in deregulating a highly regulated industry to ensure that AI data centers have the energy they need to shape the future of America and the world.

At the IAEA, scientists, nuclear energy experts, and lobbyists discussed what that future might look like. To say the nuclear people are bullish on AI is an understatement. “I call this not just a partnership but a structural alliance. Atoms for algorithms. Artificial intelligence is not just powered by nuclear energy. It’s also improving it because this is a two way street,” IAEA Director General Rafael Mariano Grossi said in his opening remarks.

In his talk, Bahran explained that the DOE has partnered with private industry to invest $1 trillion to “build what will be an integrated platform that connects the world’s best supercomputers, AI systems, quantum systems, advanced scientific instruments, the singular scientific data sets at the National Laboratories—including the expertise of 40,000 scientists and engineers—in one platform.”

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Feds: Stalker Terrorized Women Across 5 States While ‘Best Friend’ ChatGPT Encouraged Him to Continue

Federal prosecutors allege that Brett Michael Dadig, a Pittsburgh man who violently stalked at least 11 women across more than five states, used ChatGPT as a “therapist” and “best friend” who encouraged him to continue terrorizing his victims.

The New York Post reports that according to a federal indictment filed this week in Pittsburgh federal court, Brett Michael Dadig, a 31-year-old social media influencer who referred to himself as “God’s assassin” and threatened to strangle people with his bare hands, faces decades in prison after being charged with several counts of interstate stalking and making threats. The indictment reveals a disturbing pattern of harassment, including explicit physical threats, violations of court orders, and the use of AI tools to justify his conduct.

Prosecutors allege that Dadig told federal authorities that ChatGPT encouraged him to continue his social media posts, advising him to ignore the “haters” who were actually “sharpening” him and helping him “build a voice that can’t be ignored.” Dadig reportedly viewed ChatGPT’s responses as confirmation of “God’s plan” for him to build a platform and “stand out most when people water themselves down.”

Breitbart News previously reported on the tendency for AI chatbots to feed into disturbing fantasies and mental illness, popularly known as “ChatGPT induced psychosis:”

A Reddit thread titled “Chatgpt induced psychosis” brought this issue to light, with numerous commenters sharing stories of loved ones who had fallen down rabbit holes of supernatural delusion and mania after engaging with ChatGPT. The original poster, a 27-year-old teacher, described how her partner became convinced that the AI was giving him answers to the universe and talking to him as if he were the next messiah. Others shared similar experiences of partners, spouses, and family members who had come to believe they were chosen for sacred missions or had conjured true sentience from the software.

Experts suggest that individuals with pre-existing tendencies toward psychological issues, such as grandiose delusions, may be particularly vulnerable to this phenomenon. The always-on, human-level conversational abilities of AI chatbots can serve as an echo chamber for these delusions, reinforcing and amplifying them. The problem is exacerbated by influencers and content creators who exploit this trend, drawing viewers into similar fantasy worlds through their interactions with AI on social media platforms.

The filing also describes how Dadig sought advice from ChatGPT about his “future wife,” and when the chatbot suggested he might meet her “at a boutique gym or in an athletic community,” he used that answer as part of his rationale for continuing to frequent gyms where he repeatedly harassed women.

Several victims obtained restraining orders against Dadig, but prosecutors say he violated them multiple times and even recorded podcasts proclaiming he had been “falsely accused” after being served. When banned from gyms, he allegedly used aliases to regain access and boasted online that “Aliases stay rotating, moves stay evolving.”

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FBI Warns About Ransom Scams Involving Fake ‘Proof of Life’ Photos

Criminals are altering images of people obtained from social media or other public sites to create fake “proof of life” photos as part of virtual kidnapping for ransom scams, the FBI said in a public service announcement on Dec. 5.

According to the agency, criminal actors typically get in touch with their targets via text messages, claiming to have kidnapped a person close to them and demanding a ransom. The demands would often be accompanied by threats of violence.

The photo or video will, upon close inspection, reveal inaccuracies, with examples including “missing tattoos or scars and inaccurate body proportions,” the FBI said. The messages will have a sense of urgency—sent out using timed message features so family members do not have sufficient time to analyze the details.

Instead of reacting hastily, people who receive such communication should stop and think whether the kidnapper’s claims “make sense,” the notice said.

The agency advised people to always attempt to contact their loved ones before considering paying the ransom. A code word, known only within their close circle, will be crucial here.

Moreover, this type of fake image ransom scammer will use missing person information found online. The agency advised people to immediately take a screenshot or record any “proof of life” photos they receive.

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How Epstein Channeled Race Science and ‘Climate Culling’ Into Silicon Valley’s AI Elite

ewly released Jeffrey Epstein files reveal that an apocalyptic worldview – blending racial hierarchy, genetic “optimisation” and even climate-driven population culling – was circulating inside the elite, founder-linked networks shaping Silicon Valley’s rise.

These ideas appear most starkly in the convicted sex offender’s private exchanges with the AI theorist Joscha Bach, and sit alongside the longtermist and transhumanist philosophies championed by other influential figures in the same circles.

Joscha Bach, whose work on cognitive architectures and machine consciousness has shaped advanced AI research and influenced figures such as Elon Musk, appears in the documents engaging Epstein in sweeping discussions about race, hierarchy, genetic engineering and the supposed ‘utility’ of mass death, including under conditions of climate stress.

Meanwhile, another philosopher whose ideas underpin much of modern longtermism and whose work helped shape Silicon Valley’s early thinking on artificial general intelligence, Nick Bostrom, moved through the same intellectual and institutional ecosystem.

His published arguments on eugenics, selective population strategies and existential “optimisation” reveal a parallel strand of thinking within that milieu, financed and legitimised by many of the same networks.

Both men were also financed by Epstein.

Taken together, the Bach correspondence and the longtermist ideas circulating in this environment show that human hierarchy, population thinning and genetic destiny were not fringe provocations, but part of the ambient intellectual air inside the circles designing the next generation of AI.

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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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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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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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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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