05 Sci-Tech

Blurb:

In the age of AI, the scarcest resource in headquarters is no longer time. It is, rather, the willingness to say no.

Artificial intelligence is moving rapidly into military planning staffs because it compresses routine cognitive labor. AI excels at absorbing guidance, reorganizing complex material, and producing clear strategic language at speed. This feels like a qualitative advance, creating the impression that planning itself has become easier. But this impression misleads. The risk of AI-enabled planning is that it will produce plausible constructs that obscure where judgment is required, creating the illusion that analytic completeness can substitute for prioritization.

AI is seen as “raising the floor” by making it easier to produce adequate products. That is true. Yet AI also “collapses the median” by increasing the relative cost of real insight. As AI-enabled planning begin to inform real-world operations, the temptation is to treat complete answers as sufficient, without interrogating whether they represent the right answers to the hard questions of what to resource, what to defer, and what risk to accept.

Blurb:

While Iran engages in fake negotiations to stall, deceive, and lie to the Trump Administration, they announce that they will be buying anti-ship missiles from China. President Trump must stop these asinine negotiations with Iran. Iran’s butchers will never honor an agreement with the U.S, most especially when President Trump leaves office in January 2029. History will not be kind to President Trump if he signs a bad nuke deal with Iran.

Related – ‘Complete game-changer’: Iran close to buying supersonic anti‑ship missiles from China

Blurb:

The technology giant Nvidia just reported a great fourth quarter. The company operates on a January fiscal year. It comfortably beat analyst expectations, primarily because of the explosion in artificial intelligence infrastructure spending. Importantly, the largest U.S. data center companies just announced dramatic increases in artificial intelligence capital spending. Spending by the so-called hyperscalers will rise well over 50% to almost $700 billion in 2026.

Nvidia’s revenue reached $68.1 billion, a growth rate of 73% year over year. That exceeded the consensus estimate of around $66 billion. Data center revenue was up 75%, a huge beat. Earnings per share were also higher than expected. The market was looking for earnings of around $1.53. The reported number was $1.62. Nvidia’s gross margin was also outstanding at 75%. That indicates the company continues to have pricing power and appears to be largely unaffected by the shortage of high-bandwidth memory semiconductors.

Blurb:

Key Takeaways

  • West Virginia Senate introduces Senate Bill 1071 to create a system for citizens to acquire machine guns through a state-run Office of Public Defense.
  • The office would manage machine gun purchases and transfers, requiring background checks under state law for eligibility.
  • The bill emphasizes Second Amendment rights and cites the need for citizens to possess arms for state defense purposes.
  • A $250 surcharge on each sale will fund the program, along with an administrative fee capped at $50.
  • The legislation remains in early stages, pending committee hearings and votes in the Senate.

Blurb:

The tech firm’s safety team has been called to Ottawa to explain why it failed to alert police about an account linked to a mass shooter

Canadian officials have summoned senior OpenAI representatives to Ottawa to answer questions about the tech company’s safety protocols after it confirmed it did not alert police about an account linked to mass shooter Jesse Van Rutselaar.

Artificial Intelligence Minister Evan Solomon said on Monday that OpenAI’s senior safety officials will come to Ottawa on Tuesday to outline how the company decides when to notify law enforcement.

Blurb:

Agentic AI is quickly moving from demo to deployment inside the Department of Defense. But what does it actually mean to give AI “agency” — and what does it take to make those systems work on real military networks?

In this episode, Ryan sits down with Ben Van Roo, co-founder and CEO of Legion Intelligence, Jags Kandasamy, co-founder and CEO of Latent AI, and Aaron Brown, co-founder and CEO of Lumbra AI, to discuss why the real challenge is not just building smart models but getting AI agents to run on military networks and inside operational workflows. They cover deploying agents in denied environments, compressing models for the edge, orchestrating them across stovepiped systems, and the Pentagon’s struggle to scale and buy these tools fast enough to matter.

 

Blurb:

 

Developments in bioengineering keep moving the needle between reality and science fiction. From genetic editing with the CRISPR-Cas system and growing functioning organoids in petri dishes to brain cells on microchips — scientists continue to surprise us with cutting-edge inventions.

Now, for the first time, researchers from the Department of Condensed Matter Physics at the Jožef Stefan Institute in Ljubljana, Slovenia, established a method to 3D print microscopic structures inside living human cells. To demonstrate the detail and versatility of the technology, they printed a tiny elephant, alongside other microscopic geometric objects and barcodes for cell labeling, into the interior of a cell.

Blurb:

Abortion bans will expose women giving birth to “44 to 70 times higher than the mortality risk from abortion,” according to a new study from the University of Maryland and Brown University.

The lead author, Maria Steenland, an assistant professor at the University of Maryland’s School of Public Health, claims, “Our new analysis shows that it is far more dangerous to be pregnant than to have an abortion, and this gap in mortality risk is even larger than previously recognized.”

But what is the new evidence their analysis is based on?

Blurb:

NORTHERN VIRGINIA: Rising energy costs are fuelling frustration among American voters ahead of this year’s midterm elections.

In Northern Virginia, data centres – notorious for guzzling massive amounts of electricity and water – are emerging as a flashpoint over power demand and infrastructure strain.

The region on the eastern coast of the United States is widely regarded as the data centre capital of the world, with a large concentration of server farms clustered in counties just outside Washington, DC.

Blurb:

FIRST ON THE DAILY SIGNAL—The White House is engaging against a Florida bill that would establish limits on artificial intelligence, including protections for minors, sources familiar with the matter tell The Daily Signal.

The White House has contacted Florida Speaker of the House Daniel Perez and his staff members about opposing Gov. Ron DeSantis’ Artificial Intelligence Bill of Rights, sources said.

So far, Perez has sent the bill through four committees in the House since its introduction early this year. Perez told reporters on Tuesday that he is skeptical that states should pass legislation on an issue where the federal government has “first dibs.”

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Archaeologists have analyzed a mass grave in southeastern Europe that held the remains of women and children who were violently murdered 2,800 years ago. The grave may be key to understanding the evolution of strategic mass violence in the Early Iron Age, researchers reported in a new study.

The grave was unearthed at the archaeological site of Gomolava, located near the modern town of Hrtkovci in northern Serbia. Originally founded as a settlement on the Sava River in the sixth millennium B.C., both settled and mobile cultural groups used Gomolava repeatedly over the centuries. By the ninth century B.C., semisedentary groups in the Carpathian Basin were consolidating around sites like Gomolava, creating tension over land use and ownership.

Blurb:

Sam Altman challenged critics of A.I.’s water and electricity consumption. Photo by John MacDougall/AFP via Getty Images

Sam Altman is pushing back on mounting criticism over the environmental toll of A.I. The OpenAI chief has dismissed claims about A.I.’s water consumption as “fake” and drawn comparisons between the electricity required to power A.I. systems and the energy it takes to develop human intelligence.

Figures suggesting that tools like ChatGPT consume multiple gallons of water per query are “totally insane” and have “no connection to reality,” Altman said in a Feb. 20 interview with The Indian Express on the sidelines of the AI Impact Summit in New Delhi. Last year, Altman claimed that ChatGPT uses 0.000085 gallons of water per query—roughly one-fifteenth of a teaspoon—though he did not explain how he calculated that figure.

A.I.’s water footprint largely stems from the need for evaporative cooling systems used to keep data center hardware from overheating. But Altman argued that companies like OpenAI are no longer directly managing such cooling processes. Many A.I. developers, he noted, are shifting toward cooling systems that recirculate liquid rather than continually drawing fresh supplies. Meanwhile, tech giants like Microsoft, Meta, Google and Amazon have pledged to replenish more water than they withdraw by 2030.

Blurb:

As agentic AI workflows multiply the cost and latency of long reasoning chains, a team from the University of Maryland, Lawrence Livermore National Labs, Columbia University and TogetherAI has found a way to bake 3x throughput gains directly into a model’s weights.

Unlike speculative decoding, which requires a separate drafting model, this approach requires no additional infrastructure — just a single special token added to the model’s existing architecture.

Blurb:

 

Geometric marks carved into Paleolithic tools and figurines were not random decoration. A new computational analysis shows that Ice Age humans used these repeated sequences of dots, lines, and notches to encode information.

Published in Proceedings of the National Academy of Sciences, researchers examined more than 3,000 signs found on 260 objects dating between 34,000 and 45,000 years ago and found that the sequences follow consistent statistical patterns. Their informational structure is comparable to early proto-cuneiform tablets (some of the earliest known writing records from ancient Mesopotamia) — not because they represent spoken language, but because they share similar levels of repetition and predictability.