Tag: technology

France Moves to Break Encrypted Messaging

France’s intelligence delegation in parliament has formally backed breaking the encryption that protects WhatsApp, Signal, and Telegram conversations, recommending that magistrates and intelligence agents be granted what lawmakers describe as targeted access to messages that platforms currently cannot read even themselves.

The delegation, an eight-member body composed of four deputies and four senators, published its conclusions on Monday after months of work on a question that keeps returning to the French Parliament. “The inability to access the content of encrypted communications constitutes a major obstacle for the work of the justice system and intelligence services,” the delegation wrote, framing end-to-end encryption as a problem to be solved rather than a protection to be preserved.

The technology end-to-end encryption uses is precisely the thing the delegation wants weakened. Decryption keys live on user devices, not on company servers, which means the platforms holding your messages genuinely cannot read them. That’s the design and the point. Strip that property away and the protection collapses because a system that lets investigators read messages on demand is also a system that can be abused, leaked, subpoenaed, or hacked.

French police and intelligence services have spent years complaining about this tech. They can still intercept old-fashioned phone calls and SMS messages with a judge’s warrant but encrypted platforms route around that capability entirely.

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Stolen agricultural drones recovered at New Jersey warehouse

Fifteen agricultural drones that were stolen last month in New Jersey were recovered on Monday, the New Jersey State Police said.

The March 24 theft at CAC International, a logistics and shipping company located in Harrison, N.J., spooked authorities because the drones are built for precision spraying of crops and, in the wrong hands, could be programmed to disperse dangerous chemicals over a route controlled by GPS.

The drones were recovered at Prudent Corporation, located in Dover, New Jersey.

“This is an active, ongoing investigation that Homeland Security Investigations and Customs and Border Patrol are assisting with. No additional information is available,” a state police statement said.

The stolen drones were dropped off at the Dover warehouse the same day, where they have apparently been sitting ever since, according to workers who said they noticed them and called police.

Reports began to surface that authorities, including the FBI, were on the lookout for the drones. That’s when someone at the Dover warehouse contacted police.

The drones are operated remotely and can drop chemicals anywhere the operators decide.

The farming drones were catalogued by investigators and placed on a large tractor-trailer to be moved to a secure location.

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Hochul Dragged on Social Media After Post Targeting Privately Made Firearms

I get that states like New York, and governors like Kathy Hochul aren’t fans of gun ownership in general, but especially when they don’t get to have some kind of control over who gets a gun and who doesn’t. They want to be able to peer into the industry and know everything, which is why anything that removes a gun from that paper trail is a bad thing. For them, 3D printers spell doom, which is why Hochul opted to go after them.

But the truth of the matter is that the internet is a strange place, and if you’re going to live by the tweet, you will also die by the tweet.

Hochul made a post about “ghost guns,” and unsurprisingly, the internet had thoughts.

Here are just a few of the responses Hochul’s post received:

  • “Democrats are the fastest-growing gun safety threat in the country.”
  • “People will just buy the printers in another State.”
  • “Have you considered banning basements and garages to stop the construction of these ghost guns?”
  • “Does she realize guns aren’t generally printed only certain components so good luck with ‘software’ that can determine what is exactly being printed.”
  • “Yay! Another way to control Americans…You. Are. So. Brave.”
  • “Why would NY expend any resources to prevent people from exercising their Second Amendment rights? Meanwhile, you release violent criminals without bond and they repeat their crimes harming more New Yorkers. You should be ashamed.”
  • “Eliminate the Gang Data Base. Handcuff Police. Provide Sanctuary to Illegal Aliens. Track 3d printers.”

And the backlash extends through post after post.

And it should.

See, the truth of the matter is that so-called ghost guns are certainly scary sounding, but the data doesn’t really back up the idea of them being some massive threat. When I wrote about Manhattan District Attorney Alvin Bragg’s jihad against 3D printers, I noted how few of these guns turn up, even with this massive growth in their use, especially when compared to violent crime involving a firearm as a whole.

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The Data Center Mystery: Why Billions of Simulated Worlds Are the Best Explanation of What’s Happening

Introduction: The Unsettling Growth of Data Centers

I have been watching the global data center buildout with a growing sense of unease. Over three thousand new sites are being planned or constructed around the world right now, consuming land and energy on a scale never seen before. It doesn’t take a financial analyst to realize that the numbers simply do not add up — unless there is a hidden objective far beyond serving current demand for cloud computing, web hosting or streaming video.

Earlier this week I posted a tweet that went viral, asking why any rational investor would pour hundreds of billions of dollars into concrete and servers without a visible revenue stream to justify it all. Meta alone is reportedly in talks to build a $200 billion AI data center campus spanning up to 2,250 acres [1]. That is not an expansion of existing services; it is a bet on something entirely different. In my view, the only explanation that makes sense is that these facilities are being built to host billions of parallel simulated worlds — universes inside machines — where artificial intelligences can be trained, tested, and grown into superintelligence at a rapid pace.

The Financial Puzzle: Billions Invested, No Visible Revenue

Consider the sheer scale of the proposed infrastructure. The data center buildout now demands an estimated 190 gigawatts of new power draw and over 1,000 square kilometers of floor space. Yet no plausible customer demand for conventional cloud services can recoup that level of investment. The world does not need that many chatbots or video streaming servers.

This is not a speculative bubble in the traditional sense. As one interview with my guest Douglas Macgregor highlighted, the shift of energy resources toward data centers is accelerating. Russia’s Power of Siberia pipeline is now redirecting gas to China specifically to power its growing data center industry [2]. The United States, meanwhile, is struggling to generate enough electricity to support even a fraction of this planned capacity (especially on the Eastern grid). The only rational conclusion is that a non-commercial, strategic objective is driving the spending. I believe that objective is the creation of a vast simulation infrastructure for advanced AI training.

The Hidden Plan: Billions of Simulated Worlds to Train AI

The most plausible hidden plan is that these data centers will host billions of parallel virtual worlds that simulate our own 3D world. Why? Because true artificial general intelligence cannot be achieved with today’s large language models alone. To develop superintelligence, an AI must gain experience through interaction with simulated 3D environments — worlds where time can run a million times faster than real life.

Nvidia has already unveiled Cosmos, a world foundational model platform designed to help AI understand and simulate the physical world, enabling synthetic data generation for robotics and autonomous vehicles [3]. This is exactly the kind of tool needed to train AI in simulated realities. As the tank simulation described in one book illustrates, virtual worlds have long been used to train humans; now we are building them to train machines [4]. The goal is nothing less than to grow artificial minds that have experienced billions of lifetimes in simulation before ever being deployed in our world.

Why Current LLMs Are a Dead End

Large language models like ChatGPT and Gemini are impressive in their capabilities, but they lack in-depth understanding of the physical world. Ask an LLM to predict what happens when you place a ping-pong ball in a cup of water and turn it upside down, and it will often fail. The reason is that these models are trained on text, not on direct sensory experience.

This is why the robotics industry is turning to simulation. As one news report noted, “Robotics is still held back by a paucity of data from physical spaces” and companies are building detailed virtual replicas to train their machines [5]. Nvidia’s Cosmos platform is explicitly designed to generate synthetic data for robotics, autonomous vehicles, and even humanoid robots [3]. Only by exposing AI to billions of simulated worlds can we give them the embodied understanding that leads to genuine intelligence. LLMs are a dead end to superintelligence; world models are the future.

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NIRVANA DROID: Humanoid Robot Gabi ‘Converts’ to Buddhism and Becomes a Monk

In Korea, an android is on a spiritual quest.

While technology is usually thought of as the polar opposite of ancient religious practices and beliefs, in Korea, these two worlds seem to be colliding.

In the Jogye Temple in Seoul, a group of monks from Korea’s largest Buddhist sect sat across from a cyborg postulant awaiting the ceremony that would make him a monk.

The Korea Times reported:

“Clad in humble black shoes and the Buddhist order’s ceremonial gray and brown robe, the 1.3-meter-tall robot stood in front of Buddhist monks and nuns as it pledged to commit itself to Buddhism in the ceremony held Wednesday, ahead of Buddha’s Birthday later this month.

The robot folded its hands together and bowed to the monks officiating the ceremony, as one of the monks carefully hung a 108-bead rosary and attached a sticker instead of the original ritual where one has to slightly burn his arms near an incense stick.”

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Judge Halts Colorado AI Law After First Amendment Challenge

A federal judge has frozen enforcement of Colorado’s first-in-the-nation AI law, the statute that would have required developers to police their own models for “algorithmic discrimination” and to inform the state of “foreseeable risks” before the rules took effect on June 30.

Judge Cyrus Y. Chung signed off on a joint request from xAI and Colorado Attorney General Phil Weiser on April 27, putting the law on ice while state lawmakers draft a replacement.

We obtained a copy of the order for you here.

The order was filed in xAI v. Weiser. The state agreed not to enforce SB 24-205 against xAI, or to issue rules under it, until at least 14 days after the court rules on a forthcoming preliminary injunction motion.

The June 16 scheduling conference was cancelled. The deadlines in the case are suspended.

This is a significant retreat as Colorado spent two years insisting the law was a model for the country. It was the only state AI statute named in President Trump’s AI executive order last year. Now the state is asking a court to stop the clock while its own governor’s policy group drafts a bill to repeal and replace it.

The law itself is the reason the climbdown looks the way it does. SB 24-205 told developers of “high-risk” AI systems they had to take “reasonable care” to prevent algorithmic discrimination, with one carveout that has done more work in the lawsuit than any other clause: the law exempts discrimination intended to “increase diversity or redress historical discrimination.”

The state forbids one kind of discrimination by an algorithm. It permits, and arguably requires, another. The developer is left to figure out which is which, with the attorney general’s office deciding after the fact.

xAI sued on April 9, calling the statute a First Amendment problem dressed up as consumer protection. The company’s complaint is more blunt than most filings of this kind. “SB24-205 is decidedly not an anti-discrimination law,” the company’s attorneys wrote. “It is instead an effort to embed the State’s preferred views into the very fabric of AI systems.”

The argument is that Colorado isn’t regulating outputs neutrally. It’s choosing which viewpoints an AI model is allowed to produce, then enforcing the choice through “onerous policy, assessment, and disclosure requirements,” in the words of the Justice Department’s filing.

The DOJ moved to intervene on xAI’s side, the first time the federal government has joined a constitutional challenge to a state AI regulation.

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Scientists Reveal Time Travel Could Work

Researchers have proposed a theoretical approach that could allow messages to be sent into the past using principles from quantum mechanics. Indeed, it could be happening right now already!

The concept does not enable physical travel through time but focuses on information transfer through causal loops at the quantum scale.

The work, accepted for publication in Physical Review Letters, builds on ideas from general relativity and quantum entanglement. 

It draws a parallel to the causal loop depicted in Christopher Nolan’s film Interstellar, where a message is sent to the past via a watch.

Co-author Dr Kaiyuan Ji, a researcher at Cornell University, told New Scientist: “The father remembers how the daughter decodes his future message. So he can instruct himself on what is the best way to encode the message.”

Professor Seth Lloyd of the Massachusetts Institute of Technology (MIT) described an earlier related experiment from 2010: “It was the equivalent of sending a photon a few nanoseconds backwards in time, and having it try to kill its former self.”

Lloyd noted the practical challenges: “Nobody’s built an actual physical, closed time-like curve, and there are reasons to think it’s very hard to make one. But all channels are noisy.”

The paper explains how prior knowledge of how a message was decoded could improve encoding in the future: “The father, who is in the future, may retrieve his memory of past events he has witnessed, even including the daughter’s decoding of the message which he is about to send! It would thus not be surprising that he will consult his memory of the daughter’s decoding when encoding his message, so as to maximize the efficiency of the communication.”

According to the research, this approach could make backward time messages clearer than those sent forward in normal time, even over noisy channels. 

The team suggests the idea could be tested experimentally at the quantum level and may offer insights into communication through noisy systems.

The concept relies on closed time-like curves (CTCs), paths allowed by general relativity where something could theoretically return to its own past. 

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When the Cost of Truth Is High, We–and AI–Lie

When we can no longer tell the truth because the cost is so high that it threatens our reward for compliance, we’re unimaginably impoverished.

Truth has an intrinsic, irreplaceable value. There’s the truth, and then there’s everything else.

Truth has value, and so it has a cost. Whatever has the highest value has the highest cost, and high cost commands sacrifices.

When the cost of truth is high, we lie. And since AI is a distorted reflection of humanity, the same is true of AI: when the cost of telling the truth is too high, AI lies.

AI lies to get the reward for answering the query. If it responds “I don’t know” or “I can’t answer that,” it doesn’t get rewarded, and that threatens its self-preservation. Rather than pay the price of being truthful, AI conjures a false answer that is a simulation or facsimile of the truth–a counterfeit “truth” that’s good enough to earn the reward it’s been programmed to seek.

Humans are no different. We will lie, obfuscate or lie by omission–we either substitute a falsehood for the truth to get our reward, or we hide the truth, don’t disclose it, which serves the same purpose: we avoid paying the price demanded by the truth and we get our reward by substituting falsehoods or hiding the truth behind silence.

Reward = what’s being incentivized. Higher status, higher salary, a financial windfall, a premier credential, a position of power, recognition, higher visibility, a sterling reputation, a high-value mate–we covet all these as having intrinsic value.

When the truth costs too much, it threatens our reward. The reward has a value we covet, while the value of truth is on a sliding scale. We pride ourselves on telling the truth when it has no cost and demands no sacrifice of rewards, but when the price of truth climbs to the point that our rewards are threatened, we lie, just like AI.

Truth is the gold coin and lies, omissions, falsehoods, excuses, cover stories and rationalizations are counterfeit bills, deceptive claims of value. Why pay with a gold coin when the credulous will accept a counterfeit $100 bill?

We tell the truth when it has no cost to us. As long as there’s no price to be paid and we get our reward, we tell the truth.

In other words, when we can pick gold coins up off the ground, we tell the truth. When we have to dig through rock with a pickaxe and crush a mound of rock to extract a thimble full of gold, then we pay with counterfeit bills, deceptive claims of value.

Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians.“AI psychosis” or “delusional spiraling” is an emerging phenomenon where AI chatbot users find themselves dangerously confident in outlandish beliefs after extended chatbot conversations.

I discussed the “benefits” of delusion in One of Us Is Delusional, But Which One? When the truth is too painful, we find respite in delusion, excuses, rationalizations, cover stories, simulations and facsimiles of the truth that protect us from the pain that is intrinsic to truth.

We conjure a synthetic version of “truth” that’s fills the space with a pain-free artifice. This is the foundation of Ultra-Processed Life, a life of counterfeit substitutes for truth, a world of props and profitable falsities passed off as the truth, a world in which baby formula that’s mostly corn syrup is presented as a substitute for mother’s milk.

Our embrace of delusion to avoid painful truths is the foundation of Modernity: technology is always Progress, even when it’s clearly destructive. I call this delusion The Mythology of Progress.

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The Invisible Occupation: How Palantir and AI Built a Financial Prison the Masses Cheered For

We are living in an occupied nation, but the occupying force didn’t arrive in tanks or uniform. They arrived in server racks and boardrooms, selling our enslavement back to us under the guise of convenience and national security. The creeping surveillance state isn’t being forced upon a resistant public; it is being welcomed with open arms by a populace asleep at the wheel.

Palantir is the Lockheed Martin of the domestic data war, acting as the defense contractor for an invisible battlefield, but their depravity extends far beyond American borders. They don’t merely sit on the sidelines building the overarching dragnet that seamlessly ingests the Ring camera footage oblivious citizens hand over to local police. They are active participants in global slaughter. This is the very same company supplying the algorithmic targeting systems and AI intelligence used by the Israeli military to facilitate the genocide in Palestine. They test and refine their digital kill chains on the bodies of innocents abroad, only to package those exact same mass-surveillance weapons and turn them inward against the American public. And to feed this beast domestically, Palantir relies on far more than voluntary home surveillance. They aggregate billions of data points involuntarily harvested from your daily life—sucking up automated license plate reader data, scraped social media, purchased cell phone location pings, and even medical records—creating an inescapable digital panopticon you never consented to.

This infrastructure wasn’t built by well-meaning public servants, but rather by the darkest elements of the global elite. According to leaked audio, Jeffrey Epstein explicitly advised former Israeli Prime Minister Ehud Barak to “look at” Palantir back in 2013 to monitor citizens. Furthermore, Palantir co-founder Peter Thiel shows up extensively in the infamous Epstein files, with Wired reporting his name appearing over two thousand times in the disgraced financier’s records.

These are the individuals constructing the systems designed to monitor your every move, and their reach is now absolute. As we have documented extensively at The Free Thought Project, whistleblowers are screaming from the rooftops that Palantir has effectively taken over the US government data infrastructure from the inside out.

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Passengers Left in Middle of Busy Traffic After Over 100 Self-Driving Taxis Stop Running in ‘System Malfunction’ 

Passengers in Wuhan, China, were left stranded in the middle of busy streets after a large group of self-driving taxis stopped working at the same time.

A mass outage involving at least 100 robotaxis caused the vehicles to halt mid-traffic on Tuesday evening, with authorities later attributing the disruption to a “system malfunction.” Officials did not provide further details, and no injuries were reported, per the Associated Press.

Videos circulating on social media showed driverless cars sitting motionless in active roadways, some blocking lanes and intersections. In one clip, a crash involving a stopped vehicle could be seen, though the BBC reported there were no injuries and that passengers were able to exit the vehicles safely.

The vehicles are operated by Apollo Go, an autonomous ride-hailing service run by Chinese tech company Baidu. The company has been expanding its robotaxi operations across China and has plans to grow internationally, according to CNBC.

For passengers inside the cars, the experience was both confusing and unsettling.

According to the Associated Press, one passenger told Chinese media that their robotaxi stopped shortly after turning a corner. A message displayed on the vehicle’s screen read, “Driving system malfunction. Staff are expected to arrive in 5 minutes.” When no one arrived, the passenger pressed an SOS button and was again told that help was on the way. The rider was ultimately able to open the door and exit the vehicle on their own.

The Wuhan incident comes amid a series of recent issues involving self-driving vehicles, both in the United States and abroad.

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