Despite Linux reaching its 30th anniversary, "most outside the tech industry will be unaware that Linux has reached such a milestone," writes ZDNet, "even though the project has had a huge impact on everything from smartphones to cloud computing." They add that Linus Torvalds "poked fun at that lack of recognition in his usual Sunday release note for a new stable version of the Linux kernel." "So I realize you must all still be busy with all the galas and fancy balls and all the other 30th anniversary events, but at some point you must be getting tired of the constant glitz, the fireworks, and the champagne," Torvalds said. "That ball gown or tailcoat isn't the most comfortable thing, either. The celebrations will go on for a few more weeks yet, but you all may just need a breather from them." Linux 5.14 includes additional features for Intel's Alder Lake mobile-ready CPUs, extra AMD support and better support for the Raspberry Pi 400 PC. "Because 5.14 is out there, just waiting for you to kick the tires and remind yourself what all the festivities are about," notes Torvalds... Torvalds is upbeat about Linux's future, predicting decades more work for the kernel's several thousand contributors who help shape the Linux kernel and drivers. "Of course, the poor tireless kernel maintainers won't have time for the festivities, because for them, this just means that the merge window will start tomorrow. We have another 30 years to look forward to, after all. But for the rest of you, take a breather, build a kernel, test it out, and then you can go back to the seemingly endless party that I'm sure you just crawled out of," he wrote.

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Long-time Slashdot reader Nkwe shares an article about AT&T's "Flying COW" drones — their Cell (tower) On Wings drone technology that's helped restore cellphone service after Hurricane Ida and other natural disasters. "The device is a cell site situated on a drone engineered to beam wireless LTE coverage across an area of up to 40 square miles." The weather-resistant drone can withstand extreme conditions, and its thermal imaging can help search and rescue teams find people in buildings, tree cover, and thick smoke... The drone has the potential to hover over 300 feet and is connected by a tether attached to the ground. When someone texts, calls, or uses data, the signal is sent to the drone and transferred through the tether to a router. The router pushes information through a satellite, into the cloud, and finally into the AT&T network. The tether also provides constant power to the Flying COW via a fiber, giving the drone unlimited flight time. Its flying capabilities allow it to soar 500% higher than a terrestrial Cell-on-Wheels mast, expanding how far the signal reaches, though more drones can be added to widen the coverage area. The drone is small and versatile, making it easy to set up, deploy, and move during rapidly changing conditions, like firefighters chasing a wildfire.

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"Rather than bouncing back, places hit repeatedly by hurricanes, floods and wildfires are unraveling," reports the New York Times. "Residents and employers leave, the tax base shrinks and it becomes even harder to fund basic services." That downward spiral now threatens low-income communities in the path this week of Hurricane Ida and those hit by the recent flooding in Tennessee — hamlets regularly pummeled by storms that are growing more frequent and destructive because of climate change. Their gradual collapse means more than just the loss of identity, history and community. The damage can haunt those who leave, since they often can't sell their old homes at a price that allows them to buy something comparable in a safer place. And it threatens to disrupt neighboring towns and cities as the new arrivals push up demand for housing... Adapting to climate change in the United States arguably comes down to a brutal decision: When to build back, and when to help move people away from threats that are only getting worse. The first option is becoming more expensive and less effective as disasters mount. The second option is usually too painful to even consider.

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America's consumer-protection agency has apparently launched a "preliminary investigation" into how often McDonalds franchise owners are allowed to repair their own McFlurry-making equipment, reports CBS Moneywatch (citing an article Tuesday in the Wall Street Journal). The machine's manufacturer insists that the product's warranty is void if purchasers attempt to fix machines on their own, according to the Wall Street Journal. But CBS MoneyWatch adds: It's illegal for companies to make warranties conditional on the use of certain parts or services, a practice antitrust law calls "tying"... The Federal Trade Commission in July issued a new policy broadly in favor of the "right to repair," an issue that President Joe Biden singled out in a broad executive order on anticompetitive practices. The agency is now writing new rules targeting repair restrictions. "If this [case] is connected to that, it's going to be the first example of the FTC looking at repair restrictions as something worth investigating," said Nathan Proctor, senior director of the Right to Repair campaign for the U.S. Public Interest Group.

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La Dona Maria Felix, 1949.

Long-time Slashdot reader Artem S. Tashkinov quotes Quanta magazine: Today, the most powerful artificial intelligence systems employ a type of machine learning called deep learning. Their algorithms learn by processing massive amounts of data through hidden layers of interconnected nodes, referred to as deep neural networks. As their name suggests, deep neural networks were inspired by the real neural networks in the brain, with the nodes modeled after real neurons — or, at least, after what neuroscientists knew about neurons back in the 1950s, when an influential neuron model called the perceptron was born. Since then, our understanding of the computational complexity of single neurons has dramatically expanded, so biological neurons are known to be more complex than artificial ones. But by how much? To find out, David Beniaguev, Idan Segev and Michael London, all at the Hebrew University of Jerusalem, trained an artificial deep neural network to mimic the computations of a simulated biological neuron. They showed that a deep neural network requires between five and eight layers of interconnected "neurons" to represent the complexity of one single biological neuron. Even the authors did not anticipate such complexity. "I thought it would be simpler and smaller," said Beniaguev. He expected that three or four layers would be enough to capture the computations performed within the cell. Timothy Lillicrap, who designs decision-making algorithms at the Google-owned AI company DeepMind, said the new result suggests that it might be necessary to rethink the old tradition of loosely comparing a neuron in the brain to a neuron in the context of machine learning. The paper's authors are now calling for changes in state-of-the-art deep network architecture in AI "to make it closer to how the brain works."

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Long-time Slashdot reader flogger shares Amazon Prime's first trailer for its upcoming Wheel of Time series. GameSpot reports: The first three episodes will arrive on Friday, November 19, with new episodes arriving every Friday afterward, leading to the Season 1 finale on December 24. The Wheel of Time is based on the best-selling fantasy novels by Robert Jordan, which sold more than 90 million books... The original book series was made up of 15 novels published between 1990 and 2013. Jordan died in 2007 while working on the 12th book, and left behind notes intended to help someone else finish the series. Brandon Sanderson took up the role, and now serves as a consulting producer on the Amazon series... The series is co-produced by Amazon Studios and Sony Pictures Television. The first three episodes of season one will premiere together on Friday, November 19, with new episodes available each Friday following. The season finale will air on December 24. Here's how Variety summarizes the story. The power Aes Sedai organization and "a group of other adventurers head off on a journey across the world. However, one of the members of the group is the Dragon Reborn, who will save humanity or destroy it.

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If I were in health care, working in a place where they have to care for Covid patients who are very sick, I'd feel very inclined to quit.

Given that 99 percent of the people who are very sick with Covid chose not vaccinate. And the transmissibility of the virus unlike other illnesses, makes them responsible not only for their own illness but other people'.

I'd seriously consider quitting.

"One project going dark — due to a DMCA takedown or otherwise — can impact thousands of developers," GitHub warns in a blog post this week: We saw that firsthand with both leftpad and mimemagic. That's why GitHub's designed its DMCA process to follow the law in requiring takedown requests to identify specific content. We want developers on our platform and elsewhere to have a clear opportunity to remove infringing code yet keep non-infringing code up for others to use, modify, and learn from. Ensuring that software copyright allegations are specific and actionable benefits the entire developer ecosystem. That's why GitHub submitted a "friend of the court" brief in the SAS Institute, Inc. v. World Programming Ltd. case before a Federal Court of Appeals. This case is the most recent in a ten-year litigation spanning both the UK and the US. SAS Institute has brought copyright and non-copyright claims against World Programming's software that runs code written in the SAS language, and the copyright claims drew comparison to the recent Google v. Oracle Supreme Court case. But this case is different from Google v. Oracle because here the alleged copyright infringement is based on a claim of "nonliteral" infringement. That means there is no allegation that specific lines of code were literally copied, but only that other aspects, like the code's overall structure and organization, were used. In nonliteral infringement claims, the questions arise: what aspects of the "nonliteral" features were taken and are they actually protected by copyright...? GitHub believes that for claims involving nonliteral copying of software, it is critical that a copyright owner provide — as early as possible — examples that would allow a developer, a court, or a software collaboration platform like GitHub to identify what was claimed to be copied. Our brief helps educate the court why specificity is especially important for developers.... We urged the court to think about efficiency in dispute resolution to avoid FUD (fear, uncertainty, and doubt). The sooner infringement allegations can be made specific and clear, the sooner infringing code can be changed and non-infringing code can stay up. That should be the result for both federal lawsuits, as well as DMCA infringement notices.

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Every problem America has now, and they're huge problems, come from slavery. If we were to go through a transition like the one Afghanistan is going through now, we'd go back to the 1860s and slavery would be reinstated.

Extinction list update reveals mixed news for marine life, as world conservation summit open in France.

An anonymous reader quotes a report from Bloomberg: Beijing's municipal government has proposed an investment in Didi Global Inc. that would give state-run firms control of the world's largest ride-hailing company, according to people familiar with the matter. Under the preliminary proposal, Shouqi Group -- part of the influential Beijing Tourism Group -- and other firms based in the capital would acquire a stake in Didi, the people said, asking not to be identified discussing private information. Scenarios under consideration include the consortium taking a so-called "golden share" with veto power and a board seat, they added.

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Misophonia is the "hatred of sound," or "sound rage," a condition in which people have intense emotional and physical reactions to trigger noises, often chewing or lip smacking. Misokinesia, on the other hand, is the "hatred of movement." Last week, Todd Handy, a professor of psychology at the University of British Columbia, and his colleagues published the first study to focus solely on misokinesia in Nature Scientific Reports, with first author PhD student Sumeet Jaswall. Motherboard's Shayla Love reports the findings: The paper is mostly focused on determining how common misokinesia might be -- and their findings remarkably resemble the impromptu surveys Handy did on his classes. In a total of over 4,000 people, one-third said they were sensitive to watching others fidget, and that it caused negative emotions like anger, anxiety, and frustration to arise. Arjan Schroder, a postdoctoral researcher at Amsterdam UMC and the first author on the 2013 paper that coined misokinesia, said this prevalence matched what he has seen in his misophonia patient samples. Yet, as Handy's work shows, misokinesia might also be quite common in general populations too. Handy and his colleagues first asked a group of students whether they ever had "strong negative feelings, thoughts, or physical reactions when seeing or viewing other peoples' fidgeting or repetitive movements," like someone's foot shaking, fingers tapping, or gum chewing. 38% of the students responded yes, and 31% reported having both misokinesia (visual) and misophonia (audio) sensitivity. Then they asked an older, more demographically diverse sample (not students) and found a similar prevalence: 36% of participants reported they had misokinesia sensitivity and 25.5% reported having both misokinesia and misophonia. It's an intriguing finding that misokinesia and misophonia seem to exist both together and in isolation. On the subreddit for misophonia, one person shared that noises didn't bother them severely but fidgeting did. [...] Handy thinks the next big questions their study poses are how exactly misokinesia is related to misophonia, whether it can help better explain the mechanisms of misophonia, and whether it can potentially lead to coping strategies and treatments.

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The U.S. Navy has successfully invented a special electronic device that is designed to stop people from talking. Interesting Engineering reports: A form of non-lethal weapon, the new electronic device effectively repeats a speaker's own voice back at them, and only them, while they attempt to talk. It was developed, and patented back in 2019 but has only recently been discovered, according to a report by the New Scientist. The main idea of the weapon is to disorientate a target so much that they will be unable to communicate effectively with other people. Called acoustic hailing and disruption (AHAD), the weapon is able to record speech and instantly broadcast it at a target in milliseconds. Much like an annoying sibling, this action will disrupt the target's concentration, and, in theory, discourage them from continuing to speak. As for the technical details of the device, a quick review of its patent is very interesting indeed. "According to an illustrative embodiment of the present disclosure, a target's speech is directed back to them twice, once immediately and once after a short delay. This delay creates delayed auditory feedback (DAF), which alters the speaker's normal perception of their own voice. In normal speech, a speaker hears their own words with a slight delay, and the body is accustomed to this feedback. By introducing another audio feedback source with a sufficiently long delay, the speaker's concentration is disrupted and it becomes difficult to continue speaking."

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