05 Sci-Tech

News Source
EXCERPT:


(LifeSiteNews) – America First Legal (AFL) accused Chicago Public Schools (CPS), San Francisco Unified School District (SFUSD), and Loudoun County Public Schools (LCPS) of “socially transitioning” gender-confused students without the knowledge or consent of their parents in new complaints filed with the U.S. Department of Justice (DOJ).

The New York Post reported that the group maintains all three districts let students change the names and genders they use at school without parental involvement or notification, plus lets male students who “identify” as girls participate in female-specific athletics and use female lockers and restrooms.

News Source
EXCERPT:

Football managers spend countless hours analyzing corners, free kicks, and player positioning in search of tiny competitive advantages. Google DeepMind believes artificial intelligence can make that process significantly faster, and its latest project, TacticAI, is designed to do exactly that. TacticAI is a football-specific AI assistant capable of modeling player movement, forecasting future play dynamics, and even recommending tactical adjustments for corner kicks. One of its standout abilities is predicting player trajectories up to eight seconds into the future using only broadcast-style visual data.

News Source
EXCERPT:

In 2022, Scott Sweetow wrote, “Of Roadside Bombs and Drones: Putin’s Looming Insurgency Problem,” where he argued Ukraine’s fight against Russia would rely on a combination of conventional and asymmetrical insurgent tactics. Four years of combat later, we asked Scott to revisit his arguments.Image: National Information Warfare Center PacificIn your 2022 article, you argued that Ukraine’s tech-driven resistance could rapidly evolve into an insurgency-style force.

News Source
EXCERPT:

Scaling AI Safety Research for a Multi-Agent World

For the past decade, we’ve focused on making individual AI models more capable, helpful and safe. Today, Google DeepMind — together with Schmidt Sciences, the Cooperative AI Foundation, the Advanced Research and Invention Agency, and supported by Google.org — is announcing a new technical research funding call of up to $10M for researchers worldwide.

As AI technology scales, we’re entering a new era. Soon, millions of AI agents — built by different organizations — will interact across digital environments, communicating, negotiating and transacting with one another.

News Source
EXCERPT:

In the summer of 2021, Beth Cameron, a biodefense expert on President Joe Biden’s National Security Council, sprinted to review the classified intelligence on the origins of COVID-19 by a 90-day deadline.

The issue was sensitive: The Wuhan Institute of Virology, a lab complex at the pandemic’s epicenter, had conducted research that engineered novel coronaviruses with support from the U.S. government, namely, Anthony Fauci’s longtime institute at the National Institutes of Health. But prominent virologists in Fauci’s orbit had persuaded the corporate press that any suggestion of a connection between the pandemic and the Wuhan lab amounted to a conspiracy theory.

Biden had ordered a 90-day review of the intelligence that spring after a conflicted World Health Organization report failed to turn up credible answers.

Cameron called Fauci into a secure room on the White House campus that June, but not for questioning, declassified documents show. Instead Cameron invited him to the White House for a classified briefing with Maher Bitar, the special assistant to the president for intelligence.

“I would like to invite you to sit with us directly,” she wrote to Fauci in a newly released June 21, 2021 email. “We and Maher stand ready to assist and appreciate greatly your time and leadership.”

News Source
EXCERPT:

The AI industry has been pushing a narrative that the technology is a “black box” whose inner workings are so complex that they remain unknown even to the people making it. But another black box of AI is the underlying cost of the technology, and, specifically, what the AI boom is costing people who live near massive data centers. The data centers and energy plants that power large language models and other generative AI tools are subject to contracts cloaked in non-disclosure agreements and in many cases shielded from public scrutiny on the pretext that they contain competitive information.

A new report written by consultancy Synapse and commissioned by advocacy groups Earthjustice and Environmental Advocates Mississippi attempts to calculate the cost of 3 planned Amazon data centers to Entergy Mississippi customers, who share an energy utility with the centers. These hidden costs may offer a window into the broader burden borne by residents living near data centers around the country. The report estimates that residential customers of Entergy Mississippi, one of the state’s regional energy monopolies, have paid $38 million as of March 2026 for infrastructure and other costs related to data centers and will have paid $74 million by the end of the year.

News Source
EXCERPT:

Gurugram, India — When Nitin Sharma developed a high fever in May, dengue was the last thing on his mind.

The monsoon was still weeks away. Like many Indians, the 32-year-old software engineer from Gurugram, a business district outside New Delhi, had grown up believing dengue was a disease that arrived with the rains and disappeared once the monsoon season ended.

News Source
EXCERPT:

Anthropic is backtracking on a policy that would have covertly limited competitors from using its new AI model, Claude Fable 5, to develop other AI models. The company changed course after the move received significant backlash from the AI research community.

“We’re changing Fable 5’s safeguards for frontier LLM development to make them visible,” Anthropic said in a statement to WIRED. “We made the wrong trade-off and we apologize for not getting the balance right.”

Anthropic released Claude Fable 5, a version of its latest AI model with additional safety guardrails designed to prevent misuse, earlier this week. Some of the safeguards Anthropic decided on were unsurprising: The company said it would reroute users who asked questions about cybersecurity, biology, or chemistry to a less capable AI model to reduce the chances of someone using the advanced AI to carry out a cyberattack or build a bioweapon.

News Source
EXCERPT:

That old saw about politicians eventually getting around to taxing the air we breathe hasn’t quite come true in Illinois — yet. First, Illinois Democrats have to figure out how to tax social media.

Judging by this first effort, we can relax because if Democrats in the Land of Lincoln don’t understand what social media is and how to figure out how to tax it, our air is safe.

“A nearly $56 billion state spending plan is headed to Gov. JB Pritzker’s desk after the Democratic-controlled Illinois legislature approved it in the early-morning hours of another overtime spring session,” the Chicago Tribune‘s Dan Petrella noted last week. “The biggest source of new revenue is a new per-user tax on large social media companies.”

News Source
EXCERPT:

Artificial intelligence systems can write essays, answer questions, and solve complex problems. But new research suggests they may struggle with something humans do every day: staying focused on the task at hand when distractions get in the way.

Researchers led by Suketu Patel put several leading AI models through a well-known psychology experiment called the Stroop task. The results revealed a significant difference between how AI systems process information and how the human brain manages attention.

News Source
EXCERPT:

China has become the first country in the world to operate an underwater data center, or UDC, powered by wind. Located off the coast of Shanghai, the complex represents a significant advance in the country’s strategy to secure energy supplies in the face of the accelerated growth of artificial intelligence, reduce dependence on fossil fuels, and reduce the environmental impact of its technology infrastructure.

The initiative is the result of a collaboration between private company HiCloud Technology and state-owned China Communications Construction, which involved an investment of 1.6 billion yuan, equivalent to about $236 million.

With an initial capacity of 24 megawatts, the facility is submerged at a depth of 10 meters in the Lin-gang Special Zone, within the China Pilot Free Trade Zone in Shanghai. This location allows seawater to be used as a natural cooling system, reducing the proportion of energy used to cool the infrastructure to less than 10 percent.

News Source
EXCERPT:

A preprint describing genetically edited human embryos is raising concerns among scientists that the U.S. is becoming more accepting of using gene editing to enhance embryos.

“The cat’s out of the bag,” says Alexis Komor, deputy director of the Sanford Stem Cell Innovation Center at the University of California, San Diego, who was not involved in the new finding.

A team of researchers, led by senior author and Columbia University cell biology researcher Dieter Egli, used base editing—a form of gene editing that involves small cuts to a single strand of DNA—to edit two genomic sites in human zygotes, or embryos at the single-cell stage, that correspond to PCSK9, a gene that regulates cholesterol, and HBG1 and HBG2, two genes that are responsible for the fetal form of the oxygen-carrying protein hemoglobin. The genes were chosen because they were well-studied, not for potential therapeutic purposes, the investigators wrote in the preprint. The experiment was first reported by the New York Times.

News Source
EXCERPT:

Inside a modern data centre, performance is already constrained less by raw transistor capability and more by heat removal. Server racks packed tightly together push thermal systems to their limit, and operators often throttle workloads not because chips can’t compute faster, but because cooling systems can’t keep up. Against that backdrop, the claim that processors can become 1,000 times faster through a light-driven switching device sounds like it belongs to a different category of computing altogether.What makes this result interesting is not just speed, but the mechanism: information switching triggered by light pulses rather than sustained electrical current, with experimental cycle times measured in picoseconds rather than nanoseconds.

According to the research published in Science, ‘Picosecond ultralow-power switching device based on an antiferromagnet’, a non-volatile switching element that can change state in about 40 picoseconds, which is roughly 40 trillionths of a second. For context, conventional semiconductor logic typically operates in the sub-nanosecond range, and even high-end CPU clock cycles are orders of magnitude slower once pipeline and memory effects are accounted for.That difference is not incremental. It shifts the conversation from “how do we shrink transistors further” to “how do we switch information using physics that isn’t bottlenecked by charge movement through silicon channels.”The device, demonstrated under lab conditions, uses ultrafast optical pulses routed through a photodetector (a uni-traveling-carrier photodiode), which then triggers a change in electron spin states within a magnetic material stack. That switching event is what encodes information.

News Source
EXCERPT:

Connecting the dots: Generative AI has been blamed for hundreds of thousands of layoffs over the past year, but evidence that companies moved too quickly to automate white-collar jobs is steadily mounting. Multiple recent studies suggest that many employers are refilling recently eliminated positions after overestimating AI’s productivity gains and cost savings.

In some studies, roughly a third of companies that attempted to replace workers with AI have either rehired some of them or expressed regret over the decision. The figures add to a growing body of evidence that the true cost of implementing generative AI is catching businesses off guard.

A late 2025 report from Forrester Research predicted that roughly half of AI-attributed layoffs would be quietly reversed. However, the so-called AI boomerang effect may not benefit all workers equally.

While firms might quietly rehire experienced employees, those seeking entry-level jobs may still be out of luck. Forrester also predicted that most companies will use the opportunity to pivot to cheaper offshore labor.

Meanwhile, Gartner published research in February predicting that half of the businesses that eliminated customer service positions will rename and refill them by 2027. The forecast accompanied a separate October 2025 survey of 321 customer service and support leaders, which found that only 20% had actually reduced headcount while pivoting to AI – suggesting automation has largely augmented workers rather than replaced them.

News Source
EXCERPT:

The buzziest bit of the new artificial-intelligence bill from Reps. Jay Obernolte, a California Republican, and Lori Trahan, a Massachusetts Democrat, is probably the section that would let Washington preempt state rules on AI development for three years. For me, the more interesting part is its bet on auditing as a middle path between Silicon Valley self-regulation and an FDA-style premarket approval regime for frontier models.

Earlier this year, several dozen AI policy folks signed onto a proposal, “Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies” that “outlines a vision for frontier AI auditing, which we define as rigorous third-party verification of frontier AI developers’ safety and security claims, and evaluation of their systems and practices against relevant standards, based on deep, secure access to non-public information.”

What does that mean? For starters, an audit is not a permission slip. Rather than making a company clear a government gate before shipping, as the FDA does with drugs, an independent reviewer with access to the confidential innards of an AI company would check the latest model against a set standard. Think of it as how an accountant signs off on a public company’s books. Private firms do the examining while a public body stays in the background. Maybe it sets the rules, accredits the examiners, and holds the enforcement hammer.

News Source
EXCERPT:

This week, United Nations climate negotiators will gather in Bonn, Germany, to tell the rest of the world how to save the planet.

The irony is staggering. Germany is the poster child of failed green paternalism. It shut down its nuclear plants, bet everything on renewables, and ended up burning more coal and buying gas from Russia. Germany has no idea how to save the planet — it cannot even save itself.

That’s because Germany and other big-government climate warriors assumed the only force capable of protecting the environment was mandates, all while the market was quietly working.

News Source
EXCERPT:

One congressman is moving to protect the soft underbelly of America’s critical infrastructure with a new bill.

Republican Tennessee Rep. Matt Van Epps unveiled a House version of Sen. Tom Cotton’s Critical Infrastructure Airspace Defense Act Tuesday, which aims to shield hospitals, power plants, water treatment sites, and dams from potential drone attacks. The bill would make grants available to private companies to purchase government-approved anti-drone technologies, and could even extend to data centers.

“The bill gives the Secretary of Homeland Security, in consultation with the Secretary of Energy and others, the ability to determine which critical infrastructure facilities need these authorities,” Van Epps told the Daily Caller News Foundation. “This could include anything from critical water systems to power plants and potentially even data centers.”