UK pledges 100,000 new drones for Kiev

he UK has pledged to supply 100,000 new drones to Ukraine by April 2026, in addition to the 10,000 UAVs it sent last year. The announcement coincides with Britain’s newly unveiled Strategic Defense Review, which proposes steps to rearm its military in light of what it paints as a threat posed by Russia.

London has allocated £350 million ($470 million) from its £4.5 billion Ukraine military package to fund new drone deliveries to Kiev, according to a government statement on Wednesday. UK Defense Secretary John Healey is expected to detail the initiative at the upcoming Ukraine contact group meeting in Brussels.

“Ukraine’s Armed Forces have demonstrated the effectiveness of drone warfare,” London stated, admitting that Kiev’s demand for UAVs has provided a boost to the UK’s economy.

It also unveiled plans to use Ukraine’s drone experience to train its own military. In order to “learn the lessons from Ukraine,” the UK would allocate over £4 billion for autonomous systems and drones for its armed forces.

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Trump’s ‘Big Beautiful Bill’ Locks Down AI for a Decade – Welcome to the Golden Age of AI Tyranny

President Donald J. Trump’s One Big Beautiful Bill Act, specifically Section 43201, imposes a 10-year moratorium on state-level AI regulations.

This move, part of H.R.1, raises concerns about a future dominated by unchecked AI power.

The bill allocates $500 million to modernize federal IT systems with AI, but it also bars states from enforcing AI laws. Now, critics warn of an “AI tyranny” era.

The One Big Beautiful Bill Act’s Section 43201 outlines a significant shift in AI governance. Trump actively pushed for this bill, which the House passed. Section 43201 states,

“Except as provided in paragraph (2), no State or political subdivision thereof may enforce, during the 10-year period beginning on the date of the enactment of this Act, any law or regulation limiting, restricting, or otherwise regulating artificial intelligence models, artificial intelligence systems, or automated decision systems.”

This moratorium aims to prevent state interference in AI development. However, it allows exceptions for laws that facilitate AI deployment or impose federal requirements.

Therefore, this section prioritizes federal control over AI. The bill also funds AI modernization within the Department of Commerce, allocating $500 million until 2034. Thus, this dual approach sparks debate over innovation versus regulation.

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EU Tech Laws Erect Digital Iron Curtain

Over the past decades, Europe has created little of real relevance in terms of technological platforms, social networks, operating systems, or search engines.

In contrast, it has built an extensive regulatory apparatus designed to limit and punish those who have actually innovated.

Rather than producing its own alternatives to American tech giants, the EU has chosen to suffocate existing ones through regulations such as the Digital Services Act (DSA) and the Digital Markets Act (DMA).

The DSA aims to control the content and internal functioning of digital platforms, requiring the rapid removal of content deemed “inappropriate” in what amounts to a modern form of censorship, as well as the disclosure of how algorithms work and restrictions on targeted advertising. The DMA, in turn, seeks to curtail the power of so-called gatekeepers by forcing companies like Apple, Google, or Meta to open their systems to competitors, avoid self-preferencing, and separate data flows between products.

These two regulations could potentially have a greater impact on U.S. tech companies than any domestic legislation, as they are rules made in Brussels but applied to American companies in an extraterritorial manner. And they go far beyond fines: they force structural changes to the design of systems and functionalities, something that no sovereign state should be imposing on foreign private enterprise.

In April 2025, Meta was fined €200 million under the Digital Markets Act for allegedly imposing a “consent or pay” model on European users of Facebook and Instagram, without offering a real alternative. Beyond the fine, it was forced to separate data flows between platforms, thereby compromising the personalized advertising system that sustains its profitability. This was a blatant interference in its business model.

That same month, Apple was fined €500 million for preventing platforms like Spotify from informing users about alternative payment methods outside the App Store. The company was required to remove these restrictions, opening iOS to external app stores and competing payment systems. Once again, this was an unwelcome intrusion and a direct attack on the exclusivity-based model of the Apple ecosystem.

Other companies like Amazon, Google, Microsoft and even X are also under scrutiny, with the latter particularly affected by DSA rules, having been the target of a formal investigation in 2023 for alleged noncompliance in content moderation.

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Will Human Error Hand AI The Key To Our Destruction?

By now, the apocalyptic whispers that once belonged solely to science fiction are starting to sound more like realistic forecasts. Artificial intelligence, once hailed as the great liberator of human productivity and ingenuity, is now moonlighting as a con artist, data thief, and spy.

The machines are rising, yes—but they’re not doing it alone. As we embrace AI with reckless abandon, it’s not the code that’s dooming us. It’s the carbon-based lifeforms behind the keyboard making forehead-slapping mistakes. If civilization does collapse under the weight of digital warfare, it’ll be a joint project between rogue AI and good old-fashioned human idiocy.

Let’s talk about the Rise of the Machines, 2025 edition—not in the form of Terminators with glowing eyes, but as lines of sophisticated code hell-bent on manipulation, infiltration, and destruction. Whether we are willing to accept it or not, AI-powered cyberattacks are becoming disturbingly common and alarmingly sophisticated.

We’re seeing the proliferation of deepfake scams, hyper-personalized phishing attacks, and AI-assisted password cracking that make traditional defenses look as flimsy as a paper umbrella in a hurricane.

Take the case of deepfake fraud, where criminals now impersonate CEOs and executives with astonishing accuracy. These aren’t your cousin’s sloppy Photoshop jobs. These are full-motion, pitch-perfect, AI-generated replicas of real people, used in schemes to authorize fraudulent wire transfers, manipulate employees, or simply throw entire organizations into chaos. It’s not just unsettling. It’s an outright weaponization of trust—an erosion of reality itself.

And don’t forget AI-generated phishing emails. These aren’t the hilariously broken English scams from 2006. AI now writes flawless prose, mirroring the tone and style of your boss, your bank, or your kid’s school, tricking you into clicking that one wrong link that detonates ransomware across your organization like a digital IED. The machines aren’t playing chess anymore—they’re playing you.

But even as AI’s capabilities soar into dystopian territory, the greatest cybersecurity threat isn’t machine intelligence. It’s human incompetence. You could hand someone the most secure system in the world, and they’ll still manage to set it on fire with a reused password or a click on an “urgent invoice” from a Nigerian prince.

report by NinjaOne drives this point home with a sledgehammer: nearly 95% of cybersecurity breaches are caused by human error. Think about that. Not Skynet, not Chinese cyber commandos or North Korean hackers in basements—but Steve in Accounting, who uses “123456” as his password and clicks on pop-ups promising free iPhones.

The attack vectors are depressingly mundane: downloading unsafe software, failing to update systems, weak passwords, falling for phishing scams, and misconfigured security settings.

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FDA Launches New AI Tool

The Food and Drug Administration on June 2 launched a new artificial intelligence (AI) tool.

FDA officials said Elsa, the tool, will help employees “work more efficiently.”

The agency is utilizing Elsa to speed up clinical protocol reviews and scientific evaluations, as well as to identify targets for inspections.

FDA officials described Elsa as a “large language model–powered AI tool designed to assist with reading, writing, and summarizing.” They said it can summarize adverse events to help with safety profile assessments, compare labels faster than humans, and generate code to help develop databases.

“Today marks the dawn of the AI era at the FDA with the release of Elsa, AI is no longer a distant promise but a dynamic force enhancing and optimizing the performance and potential of every employee,” FDA Chief AI Officer Jeremy Walsh said in a statement.

AI refers to computer systems that perform complex tasks typically performed by humans.

Dr. Marty Makary, the FDA’s commissioner, said in May that the FDA would immediately start using AI and fully integrate it by the end of June.

“Following a very successful pilot program with FDA’s scientific reviewers, I set an aggressive timeline to scale AI agency-wide by June 30,” Makary said on Monday.

“Today’s rollout of Elsa is ahead of schedule and under budget, thanks to the collaboration of our in-house experts across the centers.”

Health Secretary Robert F. Kennedy Jr., who leads the Department of Health and Human Services (HHS), the FDA’s parent agency, cheered the development, calling it “a revolution in public health” in a post on social media platform X.

The FDA recently fired thousands of employees. HHS officials had said they would cut about 3,500 full-time workers but ended up terminating about 2,500 workers, according to a Senate Democrat report.

Makary told a congressional panel during a recent appearance that no scientific reviewers were fired, although some research scientists were among those terminated.

President Donald Trump has promoted the use of AI, saying in one order that “with the right Government policies, we can solidify our position as the global leader in AI and secure a brighter future for all Americans.”

The first report from Trump’s Make America Healthy Again (MAHA) Commission, headed by Kennedy, contained markers of AI, including nonexistent studies and multiple instances of “oaicite,” which developers say is inserted by OpenAI’s ChatGPT AI tool.

“The pattern is consistent with other cases we’ve seen of using generative AI to create citations,” Dr. Ivan Oransky, co-founder of Retraction Watch and executive director of The Center for Scientific Integrity, told The Epoch Times in an email.

“The fact that these fake citations made it into the report are evidence that no one checked the report for rigor. That should concern anyone who reads it or considers relying on it.”

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Palantir Co-Founder Joe Lonsdale & Former Exec Refute NYT Report Warning Over Surveillance ‘Master List’

Palantir co-founder Joe Lonsdale and former executive Wendy Anderson have hit back against a NY Times report warning that the company is laying the groundwork for government surveillance on steroids through a massive database that would coordinate the private information of US citizens across federal agencies. 

Palantir’s not a “database”; it’s a platform created by 1000s of the most talented and patriotic Americans to partner with our DoD to stop attacks and defeat bad guys, while protecting liberty & privacy,” Lonsdale posted on X in response to the account “Retard Finder,” that said “The Palantir database idea is retarded.” 

“There are hundreds of similar types of software and efforts in the USA throughout the west; what’s unique about Palantir is that it’s BY FAR the best at stopping bad guys,” Lonsdale continued

When asked by a self-described Palantir shareholder whether he’d “personally be comfortable with your personal data being stored in this database if AOC or Ilhan Omar were President,” Lonsdale replied: 

“given the government does operate on sensitive data: I 100% prefer PLTR to be there if sketchy people are in charge, as it has full access rules and audit trails; others don’t.”

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Biometric Surveillance Expands: American Airlines Rolls Out Facial Recognition at Four Major Airports

American Airlines has begun using facial recognition to verify passenger identities at airport security, further embedding biometric technology into the air travel experience. The airline’s new Touchless ID program, now live at several major airports, allows select travelers to move through TSA PreCheck without showing ID or boarding passes.

As of May 29, travelers passing through Ronald Reagan Washington National, LaGuardia, Hartsfield-Jackson Atlanta, and Salt Lake City International can now confirm who they are simply by standing in front of a camera. That image is instantly compared against official federal photo databases such as passports or Global Entry records. If there’s a match, the traveler proceeds; no physical documents required.

This identity-verification option is available only to American Airlines AAdvantage members who are 18 or older, have a valid passport, and have an active TSA PreCheck membership with a Known Traveler Number. Users can enroll through the airline’s website or app, and participation lasts for a year, with the freedom to opt-out and revert to standard ID screening at any time.

The integration of facial recognition at TSA checkpoints may seem like a convenience upgrade, but it introduces concrete privacy risks that go far beyond the airport.

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AI recruiting is all the rage — as employers hand the screening of new hires over to robots: ‘Seemed insane’

It’s the rise of the robo-recruiters.

Employers are turning to artificial intelligence to screen potential new human hires.

AI recruiting software is increasingly subbing in for actual people during preliminary interviews — with a fake person quizzing candidates and inquiring about their skills, before delivering their findings to managers.

“A year ago this idea seemed insane,” Arsham Ghahramani, co-founder and chief executive officer of Toronto-based AI recruiting startup Ribbon, told Bloomberg. “Now it’s quite normalized.”

Companies say the goal is to ultimately make the interview process more efficient and accessible for candidates — without needing human recruiters to be online all day.

For employers, particularly those hiring at high volume, the switch can save hundreds of hours of manpower per week.

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Japanese Scientists Develop Artificial Blood Compatible With All Blood Types

A critical component of healthcare, blood transfusions play a vital role in saving lives around the globe every day. Maintaining an adequate blood supply, though, is no easy task, particularly in low- and middle-income countries (LMIC). The demand for O–negative blood — the universal donor type — often exceeds supply and donations have a limited shelf life. Looking to address the issue are a group of Japanese scientists led by Hiromi Sakai at Nara Medical University. They’ve developed a new type of artificial blood that can be used in patients of any blood type.  

The artificial blood is created by extracting hemoglobin — a protein containing iron that facilitates the transportation of oxygen in red blood cells — from expired donor blood. It is then encased in a protective shell to create stable, virus-free artificial red blood cells. As these artificial cells have no blood type, there is no need for compatibility testing. The synthetic blood can reportedly be stored for up to two years at room temperature and five years under refrigeration. That is a significant improvement over donated red blood cells, which can only be stored under refrigeration for a maximum of 42 days.  

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NAACP Accuses Musk Of Endangering Black Communities With Supercomputer Fumes

The NAACP is demanding Memphis officials shut down Elon Musk’s xAI supercomputer facility, claiming the world’s largest AI training center violates clean air laws and threatens the health of nearby black residents.

The civil rights organization sent a letter Thursday to the Shelby County Health Department and Memphis Light, Gas and Water officials, alleging xAI has operated up to 35 gas turbines without proper permits for over a year at its Colossus facility in South Memphis. The turbines power the supercomputer that trains Musk’s Grok AI chatbot, which they claim emits excessive hazardous pollutants.

“We are urging you again to ensure that xAI stops operating its unpermitted turbines in violations of clean air and open meeting act laws and to order xAI to pay penalties for operating in violation of the law,” the letter states. “The message that [Shelby County Health Department] and [Memphis Light, Gas and Water] have sent to the community is that billionaires matter more than the tax payers and residents who live there.”

Musk has said the data center — called “Colossus” — will be the first gigawatt-scale AI training facility in the world. It powers Grok, the chatbot xAI is positioning to compete with OpenAI’s ChatGPT and others.

But the NAACP says the operation is  “illegal,” citing emissions estimates of up to 2,000 tons of nitrogen oxide per year from the turbines and invoking the Clean Air Act’s “New Source Review” rule. They argue xAI’s decision to split the turbines into smaller groups is a deliberate strategy to “sidestep the law.”

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