An anonymous reader quotes a report from the Guardian: Nearly half of children in the United States are breathing dangerous levels of air pollution, according to a new report, as experts warned Donald Trump's expansive rollback of protections will make the situation worse. The 27th annual air quality report from the American Lung Association (ALA) released on Wednesday evaluates pollution across the country by grading levels of ground-level ozone -- also known as smog -- as well as year-round and short-term spikes in particle pollution, commonly referred to as soot. The report analyzed quality-assured data collected between 2022 and 2024. It found that 33.5 million children in the US -- 46% of those under 18 -- live in areas that received a failing grade for at least one measure of air pollution. The report also found that 7 million children, or 10% of all children in the US, live in communities that failed all three measures.

The report further found that communities of color are disproportionately exposed to unhealthy air. As a result, they are more likely to live with one or more chronic health conditions that make them more vulnerable to pollution, including asthma, diabetes, and heart disease. Although people of color make up 42.1% of the US population, they represent 54.2% of those living in counties with at least one failing grade, the report noted. It also found that a person of color is 2.42 times more likely than a white person to live in a community that fails all three pollution measures. Smog remains the most widespread pollutant affecting Americans' health. Between 2022 and 2024, 38% of the US population -- approximately 129.1 million people -- were exposed to ozone levels that put their health at risk. This marks the highest number recorded in the ALA's report in six years, and a 3.9 million increase from the previous year.

Several factors contributed to these unhealthy pollution levels, including extreme heat, drought and wildfires which have exposed a growing share of the population to harmful ozone, the report said. The regions most affected by high ozone levels include south-western states from California to Texas, as well as much of the midwest. This is mainly driven by smoke from Canada's 2023 wildfires crossing into the US, along with high temperatures and weather patterns that favored ozone formation in 2023 and 2024 -- particularly in southern states. More broadly, the report found that climate change is intensifying ozone pollution by boosting precursor emissions and creating atmospheric conditions such as higher temperatures and lower wind speeds that allow pollutants to build up and ozone to form. Another growing source of pollution: datacenters. The report notes how they rely on regional electricity grids where fossil fuels like methane gas and coal still account for a large portion of generation. Many datacenters also use dozens of large diesel-powered backup generators, which emit carcinogenic particulate matter.

"Children's lungs are still developing," said Will Barrett, assistant vice-president of the ALA's Nationwide Clean Air Policy. "For their body size, they're breathing more air. And also, kids play outdoors, they're more active, they're breathing in more outdoor air [...]. So, air pollution exposure in children can contribute to long-term developmental harm to their lungs, new cases of asthma, increased risks of respiratory illness and other health considerations later in life."

Longtime Slashdot reader mmarlett writes: The Atlantic has a long article on the story of missing scientists recently featured here on Slashdot. In short, it is an incoherent conspiracy theory that spreads wide and far, not paying any attention to boundaries of time, space, or area of expertise. "Which is all to say that another piece of flagrant nonsense has ascended to the highest levels of U.S. politics and media," writes the Atlantic's Daniel Engber. "To call it a conspiracy theory would be far too kind, because no comprehensive theory has been floated to explain the pattern of events. But then, even the phrase pattern of events is imprecise, because there is no pattern here at all. Given all the people who could have been roped into this narrative but weren't, any hope of finding meaning falls away. Barring any dramatic new disclosures, the mystery of the missing scientists has the dubious honor of being a sham in every way at once."

A satirical but working tool called Malus uses AI to create "clean room" clones of open-source software, aiming to reproduce the same functionality while shedding attribution and copyleft obligations. "It works," Mike Nolan, one of the two people behind Malus, who researches the political economy of open source software and currently works for the United Nations, told 404 Media. "The Stripe charge will provide you the thing, and it was important for us to do that, because we felt that if it was just satire, it would end up like every other piece of research I've done on open source, which ends up being largely dismissed by open source tech workers who felt that they were too special and too unique and too intelligent to ever be the ones on the bad side of the layoffs or the economics of the situation." 404 Media reports: Malus's legal strategy for bypassing copyright is based on a historically pivotal moment for software and copyright law dating back to 1982. Back then, IBM dominated home computing, and competitors like Columbia Data Products wanted to sell products that were compatible with software that IBM customers were already using. Reverse engineering IBM's computer would have infringed on the company's copyright, so Columbia Data Products came up with what we now know as a "clean room" design.

It tasked one team with examining IBM's BIOS and creating specifications for what a clone of that system would require. A different "clean" team, one that was never exposed to IBM's code, then created BIOS that met those specifications from scratch. The result was a system that was compatible with IBM's ecosystem but didn't violate its copyright because it did not copy IBM's technical process and counted as original work.

This clean room method, which has been validated by case law and dramatized in the first season of Halt and Catch Fire, made computing more open and competitive than it would have been otherwise. But it has taken on new meaning in the age of generative AI. It is now easier than ever to ask AI tools to produce software that is identical in function to existing open source projects, and that, some would argue, are built from scratch and are therefore original work that can bypass existing copyright licenses. Others would say that software produced by large language models is inherently derivative, because like any LLM output, it is trained on the collective output of humans scraped from the internet, including specific open source projects.

Malus (pronounced malice), uses AI to do the same thing. "Finally, liberation from open source license obligations," Malus's site says. "Our proprietary AI robots independently recreate any open source project from scratch. The result? Legally distinct code with corporate-friendly licensing. No attribution. No copyleft. No problems." Copyleft is a type of copyright license that ensures reproductions or applications of the software keep it free to share and modify.

An anonymous reader quotes a report from Ars Technica: The US military's massive $1.5 trillion budget request for the next fiscal year includes what Pentagon officials described as the largest investment in drone warfare and counter-drone technology in US history. The proposed spending on drone and autonomous warfare technologies within the FY2027 budget proposal for the US Department of Defense would surpass most countries' defense budgets and rank among the top 10 in the world for military spending, ahead of countries such as Ukraine, South Korea, and Israel.

Specifically, the Pentagon is requesting $53.6 billion to boost US production and procurement of drones, train drone operators, build out a logistics network for sustaining drone deployments, and expand counter-drone systems to defend more US military sites. The funding request is budgeted under the Defense Autonomous Warfare Group (DAWG), an organization established in late 2025 that would see a massive budget increase after receiving about $226 million in the 2026 fiscal year budget.

[...] Another $20.6 billion would help purchase one-way attack drones and drone aircraft developed through the US Air Force's Collaborative Combat Aircraft program, which is building drone prototypes capable of teaming up with human-piloted fighter jets. Part of this funding would also go toward defensive systems for countering small drones and the US Navy's Boeing MQ-25 drone designed to perform midair refueling of carrier-borne fighter aircraft to extend their strike ranges. Such drone-related spending even rivals the entire budget of the US Marine Corps. But the Pentagon has not said that it is creating a dedicated drone branch of the US military similar to the standalone Space Force.

Pentagon officials emphasized that most of the money would go toward procuring drone and autonomous warfare technologies that already exist, and is largely separate from additional funding that would bolster US domestic manufacturing capacity to build such weapon systems. "That $70 billion is all going into existing systems and technologies," said Hurst. "The industrial base support is entirely separate." "The evolution we've seen in the battlefield is this evolution of technologies in the timeframe of weeks, not the typical years we see with our defense production," said Lt. Gen. Steven Whitney, director of force structure, resources, and assessment for the Pentagon's Joint Chiefs of Staff, during a Pentagon press briefing. "So it's really critical we work with industry to get that capability fielded."