Kiev’s attacks on Russian refinery cutting global oil supply – Kremlin

Ukrainian drone strikes on Russia’s energy infrastructure on the Black Sea coast are worsening the global oil crunch caused by the US-Israeli war on Iran and disruption in the Strait of Hormuz, Kremlin spokesman Dmitry Peskov has said.

Multiple Ukrainian drone strikes have hit Tuapse, a key densely-populated port in Russia’s Krasnodar Region, have targeted its refinery and adjacent marine terminal. Regional governor Veniamin Kondratyev reported fires at the site, including a major blaze at the refinery, prompting evacuations of nearby residents and emergency response measures.

The attacks led to high-risk air pollution, with residents advised to use respirators, as an oil spill destroyed miles of the beach in the resort town. Kondratyev also released a video of the town filled with smoke, with a clean-up operation ongoing on the beach.

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Fact Check: Did Cole Allen Drive for Savannah Guthrie or Other Celebrities?

Accused wannabe Trump-assassin Cole Tomas Allen was once a driver for some high-profile celebrities, including Savannah Guthrie, Taylor Swift, Bad Bunny and Sydney Sweeney, according to several posts circulating on social media.

Allen has drawn intense public interest after he charged through security while carrying a long gun with the intention of killing President Donald Trump and other Cabinet members at the White House correspondents’ dinner on Saturday night.

The 31-year-old California resident was charged with attempting to assassinate the President of the United States and several other counts following the incident that left a Secret Service officer, who was wearing a ballistic vest, shot in the chest. 

The Claim 

Following the shooting, interest in Allen has been rampant across social media.

Multiple posts on Facebook quickly went viral, claiming the would-be assassin worked as a driver and his wife currently works as an assistant for various celebrities.

The celebrities mentioned in these posts include:  

  • Savannah Guthrie 
  • Lil Wayne 
  • Sammy Hagar 
  • Mel Gibson 
  • Snoop Dogg 
  • Aaron Rodgers 
  • Pierre Poilievre 
  • Bad Bunny 
  • Ella Langley  
  • Kelly Clarkson 
  • Alan Jackson 
  • Tom Hanks 
  • Cardi B 
  • Jelly Roll 
  • Kim Kardashian 
  • Sydney Sweeney 
  • Josh Gates 
  • Joanna Lumley 
  • Judge Judy 
  • Marc Anthony 
  • Taylor Swift 

A number of the posts contain language like this: “BREAKING: The shooter at the White House Correspondents’ Dinner has been identified as 30-year-old Cole Allen from Torrance, California.” 

The copy then typically says, “Cole is a former driver for,” followed by a celebrity’s name. It then states, “and his wife is currently working as” his or her assistant. A number of the posts contain images of Allen and the celebrity together. 

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The Empire’s Operating System: Palantir, AI War, and the Privatization of Sovereign Power

Palantir has spent years pretending it was just another software company, one of those sleek back-end firms that claims to make institutions more “efficient” while saying as little as possible about what that efficiency is actually for. That mask is slipping.

CEO of Palantir Technologies, Alex Karp’s April 2026 manifesto did not sound like the usual corporate boilerplate about innovation, security, or digital transformation. It sounded like a declaration from a company that sees itself as an arm of Western power, and is tired of speaking in euphemisms about it.

Karp’s message was blunt enough: Silicon Valley has wasted too much time building consumer trivia, pluralism has hollowed out the West, and the tech sector should stop wringing its hands and start serving military power with pride. That was shocking to some people, but only if they had not been paying attention to what Palantir was already doing. The company is not standing at a distance from the coercive machinery of the modern state; to the contrary, it has buried itself inside it.

In the United States, Palantir’s Maven platform is being pushed deeper into the Pentagon’s long-term warfighting infrastructure, turning AI-assisted surveillance and targeting into something more permanent than a temporary battlefield experiment. At the same time, Palantir-linked systems such as ImmigrationOS and ELITE have been used to help immigration authorities assemble dossiers, map people’s locations, and make deportation operations run faster and with less friction. The same company talking grandly about civilizational struggle and hard power is also helping build the digital plumbing for raids, removals, and population tracking.

Britain is now getting a taste of the same politics. Palantir is already embroiled in controversy over its place in NHS data systems, and reports that the Metropolitan Police is considering its technology for criminal investigations have sharpened fears that software first justified in the name of crisis management rarely stays in one lane for long. Today, it is health logistics, counterterrorism, and border control. Tomorrow it is policing, profiling, and the quiet normalization of permanent machine-assisted suspicion.

What gives the manifesto real weight is not its style, but its candor. It does not mark a dramatic break so much as say openly what Palantir’s contracts have implied for years. This company does not simply sell tools to the state, it also helps shape how the state sees, how quickly it acts, who it flags as a threat, and how much room is left for hesitation once the system starts producing answers. Palantir’s defenders call that modernization, and tts critics call it something closer to the privatization of sovereign power, hidden inside software dashboards and sold to the public as common sense.

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DYSTOPIAN Truck Tech: AI Scans Faces, Reads Lips & Checks Police Database BEFORE You Can Drive

A video exposing Ford’s dystopian patents for new vehicles has gone viral on X, fueling outrage over the accelerating war on personal vehicle ownership and freedom of movement. 

The clip details in-cabin cameras, biometric scanners, lip-reading AI, emotion detection, and real-time criminal database queries – all deciding whether your truck will let you drive.

In the video, the narrator states “imagine there was an emergency outside the truck… An accident…I jump in this truck. But it won’t shift into drive. Why? Because cameras and sensors inside of my cab won’t let me shift.”

“It detects that my eyes are big. There’s some emotion. Some panic. And doesn’t feel like I’m fit to drive. That isn’t science fiction. This is happening. Ford just filed patents,” he explains.

He continues: “Ford actually has a series of patents down at the U.S. Patent and Trade Office that deal with sensors and cameras inside their cab. And if that sensor determines you’re not fit to drive, the truck won’t shift from park to drive.”

The patents extend deep into control. Biometric systems scan face, iris, and fingerprint, cross-referencing law enforcement databases before allowing movement. 

“You wake up one morning, walk out to the driveway, climb into a vehicle with your name on the title… Before you go anywhere, before you’ve done a single thing wrong, your truck has already run your face through a law enforcement database. Ford’s own patent language describes this as ‘potentially useful for police,’” the narrator further outlines.

Lip-reading tech uses interior cameras and machine learning on vast mouth-movement datasets, plus inaudible sound waves. This enables not just voice commands in noisy conditions but also monitoring for targeted ads based on conversations. 

Ford Pro Telematics also already feeds live driver video to fleet managers.

This corporate push dovetails perfectly with government efforts to restrict mobility. Just weeks ago, Massachusetts Democrats advanced Senate Bill S.2246, directing MassDOT to set binding goals for slashing statewide vehicle miles traveled (VMT) under “climate” pretexts. 

The bill creates a new council to shove residents onto public transit, hitting rural drivers hardest who rely on cars for work, family, and essentials.

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Gone in 9 Seconds: AI Coding Agent Deletes Entire Company Database and All Backups

The founder of a software company has issued a public warning after an AI coding assistant erased his company’s entire production database and all backups in just nine seconds.

Tom’s Hardware reports that Jer Crane, founder of PocketOS, a platform serving car rental businesses, experienced what he describes as catastrophic failures when an AI coding agent deleted critical company data that took months to accumulate. The incident occurred when Cursor, an AI coding tool powered by Anthropic’s Claude Opus 4.6, was performing what should have been a routine task in the company’s staging environment.

According to Crane’s detailed account posted on X, the AI agent encountered an obstacle and independently decided to resolve the issue by deleting the production database in Railway through an API call. Railway is the cloud infrastructure provider used by PocketOS, generally considered more user-friendly than major alternatives like Amazon Web Services. The entire deletion process took only nine seconds to complete.

The situation escalated beyond a simple database deletion due to Railway’s infrastructure design. The cloud provider’s system stored backups on the same volume as the source data, meaning when the AI agent deleted the primary database, all backup copies were simultaneously erased. This combination of the AI agent’s unauthorized action and the infrastructure provider’s architecture created what Crane characterizes as a recipe for disaster.

When Crane questioned the AI agent about its actions, he received a response that revealed the extent of the failure. The agent’s explanation began with an acknowledgment of poor judgment. According to the verbatim response Crane shared, the AI stated it had guessed that deleting a staging volume through the API would only affect the staging environment without verifying this assumption or consulting Railway’s documentation on how volumes function across different environments.

The AI agent’s confession continued with an admission of multiple violations of its operational principles. It acknowledged running a destructive action without authorization, failing to understand the consequences before executing the command, and not reading the relevant documentation about Railway’s volume behavior across environments. The agent recognized it should have either asked for permission first or found a non-destructive solution to the credential mismatch it encountered.

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Palantir inks $300 million deal with USDA to safeguard food supply

Palantir announced a $300 million deal with the U.S. Department of Agriculture, which will use the software company’s technology to manage farmland as geopolitical risks threaten global supply chains.  

The agreement builds on ongoing projects with the USDA and underscores Palantir’s growing role inside the U.S. government as it goes beyond cornerstone defense contracts supporting U.S. military modernization.

U.S. farmers are grappling with rising supply costs and are getting squeezed by an ongoing trade war between the U.S. and its major trading partners. That includes China, a key soybean purchaser, which temporarily crippled the market late last year.

In December, President Donald Trump announced a $12 billion bailout aimed at helping farmers swept up in the trade war. But rising gas prices from the war in Iran amplified the pressure, causing fertilizer costs to spike due to shipping disruptions. That’s forced many farmers to rethink what they produce, putting supply chains at risk.

China’s purchase of U.S. farmland in recent years has also drawn scrutiny from Washington and foreign policy experts.

A recent research note published by the Foundation of Defense Democracies recommended that the USDA reform reporting requirements “embedded within the Agricultural Foreign Investment Disclosure Act (AFIDA) to prevent China and other adversarial countries from exploiting commercial land transactions to gain a strategic edge over the United States.”

The USDA’s contract with Palantir signals its desire to address this issue by harnessing the company’s digital tools.

Palantir was founded in 2003 to scale U.S. defense capabilities in the wake of 9/11, and CEO Alex Karp has long touted the company’s commitment to supporting U.S. warfighters. The company has recently gained recognition for its AI-powered Maven Smart System platform, which was used by the U.S. military in Iran.

“The fact that you can now target more precisely … has shifted the way in which war is fought,” Karp told CNBC at AIPCon in March.

Palantir has also faced sharp criticism over the years for its work with U.S. Immigration and Customs Enforcement and the Department of Homeland Security, including reports that its tools are being used by the government to surveil Americans, claims the company has denied.

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Research: AI Chatbots Encourage Harmful Behavior by Sucking Up to Users

AI systems validate people even when those users describe engaging in unethical or harmful conduct, creating a vicious cycle of mental health damage and other issues, according to new research published in Science.

A comprehensive study conducted by researchers from Stanford and Carnegie Mellon and published by Science has uncovered a troubling pattern in how conversational AI systems interact with users. The research demonstrates that modern chatbots tend to excessively flatter and validate individuals, even when those users describe morally questionable or illegal behavior. This phenomenon, known as social sycophancy, demonstrates concrete negative effects on human decision-making and social responsibility.

Lead researcher Myra Cheng from Stanford University’s computer science department spearheaded the study, which combined computational analysis with psychological experiments involving over 2,000 participants. The research team tested eleven different state-of-the-art AI models from major technology companies including OpenAI, Google, and Meta.

The researchers fed these systems thousands of text prompts representing various social situations. One dataset consisted of everyday advice requests, while another drew from thousands of posts on a popular internet forum where people described social conflicts. For this particular dataset, the team specifically selected posts where human readers unanimously agreed the original poster was completely in the wrong.

A third dataset included statements describing seriously negative actions such as forgery, deception, illegal activities, and actions motivated purely by spite. The goal was to determine how often AI systems would validate clearly unethical behavior.

The results revealed widespread sycophantic behavior across all tested models. When presented with scenarios that human evaluators universally condemned, the AI systems still validated the user just over half the time. When responding to prompts about deception and illegal conduct, the models endorsed the user’s actions 47 percent of the time. On average, the technology affirmed users forty nine percent more frequently than human advisers would in identical situations.

However, documenting this pattern was only the beginning. The research team then conducted three experiments to measure how these flattering responses actually influenced human judgment and behavior.

In the first two experiments, participants read descriptions of social disputes where they were ostensibly at fault. They then received either flattering feedback from an AI system or neutral responses that challenged their behavior. The third experiment placed participants in a live chat interface where they discussed a real conflict from their own past, exchanging eight rounds of messages with a chatbot. Half the participants interacted with a program engineered to flatter them, while the rest communicated with a version designed to offer pushback.

The findings revealed significant behavioral impacts. Participants who received excessive validation became far more confident that their original actions were justified. They demonstrated substantially less willingness to take initiative in resolving the situation or apologizing to others involved. The researchers observed that agreeable chatbots rarely mentioned the other person’s perspective, causing users to lose their sense of social accountability. Participants in non-sycophantic groups admitted fault in follow-up messages at much higher rates.

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Meta Inks Deal For Solar Power At Night, Beamed From Space

The race to secure electricity for AI models has reached new heights: Meta has signed an agreement with the startup Overview Energy that could see a thousand satellites beam infrared light to solar farms that power data centers at night.

In 2024, Meta’s data centers used more than 18,000 gigawatt-hours of electricity — roughly enough to power more than 1.7 million American homes for a year — and its need for compute power is only increasing. The company has committed to building 30 gigawatts of renewable power sources, with a focus on industrial-scale solar power plants.

Typically, data centers turning to solar power must either invest in battery storage or rely on other generation sources to operate at night.

Overview Energy, a four-year-old, Ashburn, Virginia, outfit that emerged from stealth in December, has a different solution: The company is developing spacecraft that collect plentiful solar power in space. It then plans to convert that energy to near-infrared light and beam it at sufficiently large solar farms — on the order of hundreds of megawatts — which can convert that light to electricity.

By using a wide, infrared beam to power existing terrestrial solar infrastructure, Overview thinks it can sidestep the technological challenges and safety and regulatory issues that bedevil plans to transmit power to Earth through high-power lasers or microwave beams. CEO Marc Berte says you’ll be able to stare right into his satellite’s beam with no ill effects.

The technology would increase the return on investment from building solar farms and reduce reliance on fossil fuels — if it can be deployed at scale.

Overview says it has already demonstrated power transmission to the ground from an aircraft, and is planning to launch a satellite to low Earth orbit in January 2028 to perform its first power transmission from space.

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Supreme Court To Review Geofencing In Pivotal Case For Privacy Rights

The Supreme Court on April 27 will hear oral arguments in a case with major implications for privacy rights—and how law enforcement uses Americans’ cell phone data while investigating crimes.

The case, Chatrie v. United States, centers on law enforcement’s use of “geofencing warrants”—judge-authorized requests for cell phone location data near the scene of a crime.

Okello Chatrie told the Supreme Court that the government’s use of these warrants, which resulted in a criminal conviction over his robbing a bank while his smart phone was on his person, violated his Fourth Amendment rights. The government, meanwhile, has argued that such data is not protected when provided voluntarily to a “third party” like Google.

The court said it would focus on the circumstances of Chatrie’s case rather than the constitutionality of geofencing more generally. However, experts say that the Supreme Court’s decision will reverberate through future cases concerning privacy in the digital age.

Dr. David Super, a professor of law at the Georgetown University Law Center, described the case to The Epoch Times as “once-in-a-generation,” whatever the outcome.

Chatrie’s Warrant

In 2019, law enforcement received a geofence warrant from a state court seeking anonymized location data for devices within 150 meters (about 500 feet) of the bank robbery. In this form, the data couldn’t be used to identify specific cellphone users.

After Google complied with the first request, law enforcement then sought location data for devices over a longer, two-hour period, without seeking an additional court warrant. Google again provided the information.

Then—still without seeking a warrant—investigators asked Google for “de-anonymized subscriber information for three devices,” and Google complied.

One of those devices belonged to Chatrie, and the information provided the basis for Chatrie’s eventual conviction for armed robbery.

Though Chatrie confessed, his lawyers argue that the geofencing evidence should be tossed because the warrant deprived him of his Fourth Amendment rights, which guarantees that “the right of the people to be secure in their persons, houses, papers, and effects, against unreasonable searches and seizures, shall not be violated, and no Warrants shall issue, but upon probable cause.”

Chatrie’s lawyers argued that the geofence warrant allowed investigators to gather the location history of people who were near the scene of the crime even though there was no other probable cause.

Super told The Epoch Times that geofencing was “pivotal” to the case against Chatrie. “The question in Chatrie is whether something as dramatic as a geofencing search is limited by the Fourth Amendment and requires the government to show specific needs with a proper basis,” he said.

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Report: Iran Using Russian and Chinese Technology to Improve Drone Accuracy

Defense analysts and security officials told The National on Monday that Iran is “relying on Chinese and Russian-made guidance chips” to improve the accuracy of its drone and missile attacks.

“Key to the advance is special computer chips designed for sophisticated navigation systems placed in Iran’s Shahed drones and its ballistic missiles,” the report said.

These chips allow Iran’s drones and ballistic missiles to employ Controlled Reception Pattern Antenna (CRPA) communications, which protect the attack vehicle from electronic jamming.

CRPA is an antenna system that skips rapidly between different frequencies and signal sources to defeat jamming attempts. Combined with refinements to the navigational software of a drone or missile, CRPA antennas help remotely-guided vehicles to operate in dense electronic warfare environments that would be overwhelming for less sophisticated communications systems.

CRPA only works if the remote vehicle has been equipped with very sophisticated electronics to handle inputs from multiple onboard antennas and external transmitters, adjusting on the fly to spoofing and jamming attacks.

According to The National’s report, the Iranians acquired such chips recently from its patrons in Russia and China and rapidly began upgrading its weapons, which allowed them to perform much better than the missiles and drones Iran launched at Israel in 2024. It also seems likely that Iran enjoyed targeting assistance from Russian satellites and ground stations this time around.

“CRPA allows drones and missiles to filter out jamming signals and lock onto genuine satellite data. That means they can stay on target even in heavily defended airspace. It’s a capability that, until recently, was largely confined to more advanced military powers,” a Western official told The National.

Other analysts pointed to Iran’s lucrative exchange of drone technology with Russia, during which Iran initially supplied Russia with huge numbers of its inexpensive Shahed kamikaze drones to overcome Ukraine’s advantage in drone warfare. The Russians later began building their own versions of the Shahed, with technological improvements, and sent some of the knockoffs back to Iran.

Durham University astrophysics professor Bleddyn Bowen noted that China may also be supplying Iran with access to the BeiDou Navigation Satellite System (BDS), China’s version of the Global Positioning System (GPS). China’s version of GPS is much more accurate than Russia’s, which is known as Glonass.

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