Tag: technology

Raytheon delivers advanced radar to U.S. for tracking hypersonic threats

The U.S. Missile Defense Agency has received the first AN/TPY-2 advanced radar system to defend against next-generation threats.

The new AN/TPY-2 system was built by Raytheon and comes equipped with a complete Gallium Nitride, or GaN, populated array, giving it greater sensitivity to missiles and expanding surveillance capacity while supporting the U.S.‘s hypersonic defense mission, according to the company.

“This is the most advanced version of AN/TPY-2 that Raytheon has built, leveraging years of investment and innovation to produce superior capability at a lower cost to the U.S. armed forces,” Sam Deneke, president of air and space defense systems at Raytheon, said in a statement. “As demand increases for missile defense of the homeland, the AN/TPY-2 radar is ready to meet the mission.”

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Transgender, Transgenic, Transhuman  – Techo-Obsessive Agenda of the Less Than Human

The techno-obsessive trend of this time is the new pandemic, designed like its predecessor, to derail the human race. 

It’s about promoting non biological life forms as ‘more advanced’ than the evolutionary biological life forms that constitute the infinite diversity of our living planet – including we humans.

This grand technology centred deception is the carefully constructed master plan of an elite cult that has learned to imitate the behaviour of humans while not actually belonging to the family of man.

They are clever, however, and have recognised that to redesign life to be a ‘smart’ mechanised subversion of its biological origins one must set about it in incremental stages, with each stage appearing to be ‘an improvement’ on the original.

The techno-digital agenda of today – is sold as being a more ‘efficient’, ‘smarter’ and ‘faster’ way of realising the desired end goal. It must be a fully controllable and predictable means to this end. An end which the 21st century deep state has declared to be “saving the planet.”

What it actually intends, is to distort, sterilise and ultimately delete the biological heart beat of planetary life.

So firstly, the public has to be made to believe in the cult’s ‘save the world’ deception – and then – that the radical re-engineering of biological life is the only way to achieve it. Taking a scalpel to the very gene pool of life. 

The deep state’s aim of getting the public to believe in its ‘save the plant’ rhetoric, has largely been achieved. The secondary factor – that the only way to do this is via genetically engineering the biological DNA of planetary life – has not. But that’s what they are working on.

Explained in this way to the citizens of the world, the typical response might have been “You’re never going to sell that one to we the people!”

However, once the task of convincing was spread over a period of forty or so years – voices of assent to this diabolical concept started emerging. 

Once the original message became tied-down to a single specific cause – “Stop Global Warming – end anthropological generated sources of CO2!” expounded by global governments, pseudo scientists and the world media, the brainless chant started rolling “We must all work together to achieve Net Zero by 2050!” 

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Elon Musk’s xAI Admits ‘Unauthorized Modification’ Led to Grok’s South Africa ‘Genocide’ Obsession

Elon Musk’s artificial intelligence company, xAI, has acknowledged that an “unauthorized modification” to its Grok chatbot resulted in the AI generating unprompted responses about “white genocide” in South Africa.

CNBC reports that in a statement released on Thursday evening, xAI addressed the recent controversy surrounding its Grok chatbot, which had been generating variations of what the company said was a “specific response on a political topic” despite being asked unrelated questions. The topic in question was “white genocide” in South Africa, and numerous users on X posted screenshots of Grok’s unsolicited responses on the matter.

xAI stated that the change to the chatbot “violated xAI’s internal policies and core values.” The company announced that it had conducted a thorough investigation and would be implementing measures to enhance Grok’s transparency and reliability.

As part of these measures, xAI will begin publishing the system prompts used to inform Grok’s responses and interactions on the GitHub public software repository. This move aims to allow the public to review every change made to the chatbot’s system prompts, strengthening users’ trust in Grok as a “truth-seeking AI.”

Furthermore, xAI plans to implement additional checks and measures to prevent employees from making unapproved modifications to Grok’s system prompts without a proper review process. The company will also create a dedicated team responsible for around-the-clock monitoring of the chatbot’s responses to swiftly address any incidents that are not caught by automated systems.

Prior to xAI’s admission of failure, Sam Altman, CEO of OpenAI and creator of ChatGPT, sarcastically posted on X, “I’m sure xAI will provide a full and transparent explanation soon.” Musk, who co-founded OpenAI before having a falling out with Altman, is now engaged in a heated legal and public relations battle with his former company.

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Medieval alchemy dream comes true: How physicists made gold from lead

In a breakthrough that would make medieval alchemists envious, scientists at Europe’s Large Hadron Collider have successfully transformed lead into gold, producing 89,000 atoms per second.

The Large Hadron Collider (LHC) is a giant particle accelerator that smashes atoms together at super-high speeds. Scientists there have found a way to knock three tiny particles called protons out of lead atoms, turning them into gold atoms.

The team behind this discovery, called the ALICE collaboration, used a unique way to create gold. Instead of crashing lead atoms head-on, they looked at what happens when the atoms just barely miss each other. Researchers explained that when this happens, powerful electromagnetic fields around the atoms can cause them to change into different elements.

“It’s impressive that our detectors can handle both major collisions that create thousands of particles and these smaller events that make just a few particles at a time,” Marco Van Leeuwen, who leads the ALICE project, said in a press release.

During one period of experiments from 2015 to 2018, the scientists created about 86 billion gold atoms. That sounds like a lot, but when you add up all that gold, scientists said it only weighs about 29 picograms, which is less than a trillionth of a gram. You’d need trillions of times more to make even a tiny piece of jewelry.

The machine can create about 89,000 gold atoms every second, but each atom only exists for a tiny fraction of a second before breaking apart. Recent upgrades to the machine have almost doubled the amount of gold it can make, but it’s still far from practical use.

According to Uliana Dmitrieva, a scientist for the ALICE collaboration, this is the first time scientists have been able to detect and study gold production at the LHC in this way.

“Thanks to the unique capabilities of the ALICE ZDCs, the present analysis is the first to systematically detect and analyse the signature of gold production at the LHC experimentally,” Dmitrieva said in the release.

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Florida Rejects Controversial Encryption Backdoor Bill

Legislators in the US state of Florida have shot down a bid to introduce a law that would have mandated encryption backdoors.

The outcome of the effort – known as SB 868: Social Media Use by Minors – means that the backdoors would have allowed encryption to be weakened in this fundamental way affecting all platforms where minors might choose to open an account.

As the fear-mongering campaign against encryption is being reiterated over and over again, it’s worth repeating – there is no known way of undermining encryption for any one category of users, without leaving the entire internet open and at the mercy of anything from government spies, to plain criminals.

And that affects both people’s communications and transactions.

Not to mention that while framing such radical proposals as needed for a declaratively equally large goal to achieve – the safety of youth online – in reality, by shuttering encryption, young people and everyone else are negatively affected.

If anything, it would make everyone online less secure, and, by nature of the world –  young people more so than others.

And so, Florida’s Senate on announced that SB 868 is now “indefinitely postponed and withdrawn from consideration.”

The idea behind the proposal was to allow law enforcement access to communications on a social platform – by forcing a company to build in backdoors any time law enforcement came up either with a warrant – or merely a subpoena.

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Welcome to the age of paranoia as deepfakes and scams abound

These days, when Nicole Yelland receives a meeting request from someone she doesn’t already know, she conducts a multistep background check before deciding whether to accept. Yelland, who works in public relations for a Detroit-based nonprofit, says she’ll run the person’s information through Spokeo, a personal data aggregator that she pays a monthly subscription fee to use. If the contact claims to speak Spanish, Yelland says, she will casually test their ability to understand and translate trickier phrases. If something doesn’t quite seem right, she’ll ask the person to join a Microsoft Teams call—with their camera on.

If Yelland sounds paranoid, that’s because she is. In January, before she started her current nonprofit role, Yelland says, she got roped into an elaborate scam targeting job seekers. “Now, I do the whole verification rigamarole any time someone reaches out to me,” she tells WIRED.

Digital imposter scams aren’t new; messaging platforms, social media sites, and dating apps have long been rife with fakery. In a time when remote work and distributed teams have become commonplace, professional communications channels are no longer safe, either. The same artificial intelligence tools that tech companies promise will boost worker productivity are also making it easier for criminals and fraudsters to construct fake personas in seconds.

On LinkedIn, it can be hard to distinguish a slightly touched-up headshot of a real person from a too-polished, AI-generated facsimile. Deepfake videos are getting so good that longtime email scammers are pivoting to impersonating people on live video calls. According to the US Federal Trade Commission, reports of job and employment related scams nearly tripled from 2020 to 2024, and actual losses from those scams have increased from $90 million to $500 million.

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Nations meet at UN for ‘killer robot’ talks as regulation lags

Countries are meeting at the United Nations on Monday to revive efforts to regulate the kinds of AI-controlled autonomous weapons increasingly used in modern warfare, as experts warn time is running out to put guardrails on new lethal technology.

Autonomous and artificial intelligence-assisted weapons systems are already playing a greater role in conflicts from Ukraine to Gaza. And rising defence spending worldwide promises to provide a further boost for burgeoning AI-assisted military technology.

Progress towards establishing global rules governing their development and use, however, has not kept pace. And internationally binding standards remain virtually non-existent.

Since 2014, countries that are part of the Convention on Conventional Weapons (CCW) have been meeting in Geneva to discuss a potential ban fully autonomous systems that operate without meaningful human control and regulate others.

U.N. Secretary-General Antonio Guterres has set a 2026 deadline for states to establish clear rules on AI weapon use. But human rights groups warn that consensus among governments is lacking.

Alexander Kmentt, head of arms control at Austria’s foreign ministry, said that must quickly change.

“Time is really running out to put in some guardrails so that the nightmare scenarios that some of the most noted experts are warning of don’t come to pass,” he told Reuters.

Monday’s gathering of the U.N. General Assembly in New York will be the body’s first meeting dedicated to autonomous weapons.

Though not legally binding, diplomatic officials want the consultations to ramp up pressure on military powers that are resisting regulation due to concerns the rules could dull the technology’s battlefield advantages.

Campaign groups hope the meeting, which will also address critical issues not covered by the CCW, including ethical and human rights concerns and the use of autonomous weapons by non-state actors, will push states to agree on a legal instrument.

They view it as a crucial litmus test on whether countries are able to bridge divisions ahead of the next round of CCW talks in September.

“This issue needs clarification through a legally binding treaty. The technology is moving so fast,” said Patrick Wilcken, Amnesty International’s Researcher on Military, Security and Policing.

“The idea that you wouldn’t want to rule out the delegation of life or death decisions … to a machine seems extraordinary.”

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FDA To Deploy Artificial Intelligence Across Agency

The Food and Drug Administration (FDA) is planning to roll out artificial intelligence across the agency following a successful pilot program.

FDA Commissioner Dr. Marty Makary has directed all FDA centers to immediately start using artificial intelligence (AI) and fully integrate it by the end of June, the FDA said in a May 8 statement.

By June 30, all centers will use what the agency described as a “common, secure generative AI system integrated with FDA’s internal data platforms.”

“I was blown away by the success of our first AI-assisted scientific review pilot,“ Makary said in a statement. ”We need to value our scientists’ time and reduce the amount of non-productive busywork that has historically consumed much of the review process. The agency-wide deployment of these capabilities holds tremendous promise in accelerating the review time for new therapies.”

AI refers to computer systems that can carry out complex tasks typically performed by humans.

“AI can be generally described as a branch of computer science, statistics, and engineering that uses algorithms or models to perform tasks and exhibit behaviors such as learning, making decisions, and making predictions,” FDA officials said in 2023.

Makary said on Thursday that past years have featured discussions on utilizing AI and that it’s time to start using it to save time, with some tasks that once took days now taking mere minutes.

“We at the FDA now have to ask big questions that we’ve never asked before. Why does it take over 10 years for a new drug to come to market? Why are we not modernized with AI and other things? We’ve just completed our first AI-assisted scientific review for a product and that’s just the beginning,” he said earlier in the week on social media platform X.

The rollout across the FDA is being coordinated by Jeremy Walsh, Booz Allen Hamilton’s former chief technologist, who was recently appointed as the agency’s chief AI officer, and Sridhar Mantha, who previously led the Office of Business Informatics at the FDA’s Center for Drug Evaluation and Research.

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Pope Leo Warns Over AI As MIT Researcher Finds 90% Probability Of ‘Existential Threat’

In his first formal audience as the newly elected pontiff, Pope Leo XIV identified artificial intelligence (AI) as one of the most critical matters facing humanity.

“In our own day,” Pope Leo declared, “the church offers everyone the treasury of its social teaching in response to another industrial revolution and to developments in the field of artificial intelligence that pose new challenges for the defense of human dignity, justice and labor.” He linked this statement to the legacy of his namesake Leo XIII’s 1891 encyclical Rerum Novarum, which addressed workers’ rights and the moral dimensions of capitalism.

His remarks continued the direction charted by the late Pope Francis, who warned in his 2024 annual peace message that AI – lacking human values of compassion, mercy, morality and forgiveness – is too perilous to develop unchecked. Francis, who passed away on April 21, had called for an international treaty to regulate AI and insisted that the technology must remain “human-centric,” particularly in applications involving weapon systems or tools of governance.

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The Responsible Lie: How AI Sells Conviction Without Truth

The widespread excitement around generative AI, particularly large language models (LLMs) like ChatGPT, Gemini, Grok, and DeepSeek, is built on a fundamental misunderstanding. While these systems impress users with articulate responses and seemingly reasoned arguments, the truth is that what appears to be “reasoning” is nothing more than a sophisticated form of mimicry.

These models aren’t searching for truth through facts and logical arguments—they’re predicting text based on patterns in the vast datasets they’re “trained” on. That’s not intelligence—and it isn’t reasoning. And if their “training” data is itself biased, then we’ve got real problems.

I’m sure it will surprise eager AI users to learn that the architecture at the core of LLMs is fuzzy—and incompatible with structured logic or causality. The thinking isn’t real, it’s simulated, and is not even sequential. What people mistake for understanding is actually statistical association.

Much-hyped new features like “chain-of-thought” explanations are tricks designed to impress the user. What users are actually seeing is best described as a kind of rationalization generated after the model has already arrived at its answer via probabilistic prediction. The illusion, however, is powerful enough to make users believe the machine is engaging in genuine deliberation. And this illusion does more than just mislead—it justifies.

LLMs are not neutral tools, they are trained on datasets steeped in the biases, fallacies, and dominant ideologies of our time. Their outputs reflect prevailing or popular sentiments, not the best attempt at truth-finding. If popular sentiment on a given subject leans in one direction, politically, then the AI’s answers are likely to do so as well. And when “reasoning” is just an after-the-fact justification of whatever the model has already decided, it becomes a powerful propaganda device.

There is no shortage of evidence for this.

A recent conversation I initiated with DeepSeek about systemic racism, later uploaded back to the chatbot for self-critique, revealed the model committing (and recognizing!) a barrage of logical fallacies, which were seeded with totally made-up studies and numbers. When challenged, the AI euphemistically termed one of its lies a “hypothetical composite.” When further pressed, DeepSeek apologized for another “misstep,” then adjusted its tactics to match the competence of the opposing argument. This is not a pursuit of accuracy—it’s an exercise in persuasion.

A similar debate with Google’s Gemini—the model that became notorious for being laughably woke—involved similar persuasive argumentation. At the end, the model euphemistically acknowledged its argument’s weakness and tacitly confessed its dishonesty.

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