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Version:6.6.115 (longterm) Released:2025-10-29 Source:linux-6.6.115.tar.xz PGP Signature:linux-6.6.115.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-6.6.115

Version:6.1.158 (longterm) Released:2025-10-29 Source:linux-6.1.158.tar.xz PGP Signature:linux-6.1.158.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-6.1.158

Version:5.15.196 (longterm) Released:2025-10-29 Source:linux-5.15.196.tar.xz PGP Signature:linux-5.15.196.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-5.15.196

Version:5.10.246 (longterm) Released:2025-10-29 Source:linux-5.10.246.tar.xz PGP Signature:linux-5.10.246.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-5.10.246

Version:5.4.301 (longterm) Released:2025-10-29 Source:linux-5.4.301.tar.xz PGP Signature:linux-5.4.301.tar.sign Patch:full (incremental) ChangeLog:ChangeLog-5.4.301

Linux security sits at the center of modern infrastructure. Most production systems, cloud workloads, and IoT devices run on it in some form. That reach gives it stability and risk in equal measure.

Humanity has failed to limit global heating to 1.5C and must change course immediately, the secretary general of the UN has warned. From a report: In his only interview before next month's Cop30 climate summit, Antonio Guterres acknowledged it is now "inevitable" that humanity will overshoot the target in the Paris climate agreement, with "devastating consequences" for the world. He urged the leaders who will gather in the Brazilian rainforest city of Belem to realise that the longer they delay cutting emissions, the greater the danger of passing catastrophic "tipping points" in the Amazon, the Arctic and the oceans. "Let's recognise our failure," he told the Guardian and Amazon-based news organisation Sumauma. "The truth is that we have failed to avoid an overshooting above 1.5C in the next few years. And that going above 1.5C has devastating consequences. Some of these devastating consequences are tipping points, be it in the Amazon, be it in Greenland, or western Antarctica or the coral reefs. He said the priority at Cop30 was to shift direction: "It is absolutely indispensable to change course in order to make sure that the overshoot is as short as possible and as low in intensity as possible to avoid tipping points like the Amazon. We don't want to see the Amazon as a savannah. But that is a real risk if we don't change course and if we don't make a dramatic decrease of emissions as soon as possible."

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Nearly three out of every four restaurant orders are no longer eaten in a restaurant, according to the National Restaurant Association. The share of customers using delivery more than doubled from 2019 to 2024, and 41% of respondents in a recent poll said delivery was an essential part of their lifestyle. The transformation has fundamentally altered restaurant economics. Delivery companies charge restaurants commissions between 5 and 30%, along with fees for payment processing, advertising, and search placement. Shannon Orr runs an eight-restaurant group on the West Coast. One of her restaurants generated $1.7 million in delivery sales last year. Of that, $400,000 went to delivery companies. The restaurant, previously among her most profitable, made no money in 2024, she told the Atlantic. About a third of full-service restaurants have modified their physical spaces to accommodate the delivery boom, installing dedicated entrances, bike parking, and banks of lockers.

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OpenAI has committed to spend about $1.4 trillion on infrastructure so far, equating to roughly 30 gigawatts of data center capacity, CEO Sam Altman said on Tuesday. From a report: The statement helps clarify the many announcements the company has made with its chip, data center and financing partners. That total includes the already announced deals with AMD, Broadcom, Nvidia, Oracle and other partners. That's just the starting point, Altman said. Over time, the company would like to have in place a technical and financial apparatus that would allow it to build a gigawatt of new capacity per week at a cost of around $20 billion per gigawatt.

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Jensen Huang unveiled NVQLink at Nvidia's Washington conference on Tuesday. The interconnect links quantum processors to the AI supercomputers they require to function effectively. Nvidia is not building its own quantum computers but is positioning itself as critical infrastructure for the technology's future. Quantum processors harness principles of quantum physics to solve problems classical computers cannot address, but they need classical supercomputers to perform calculations beyond their capability and to correct the errors that naturally occur in their outputs. Tim Costa, Nvidia's general manager of industrial engineering and quantum, said AI will be necessary for full-scale error correction. Earlier attempts to integrate quantum processors with AI supercomputers failed to deliver the speed and scale needed for fast error correction at scale. Nvidia developed NVQLink with more than a dozen quantum companies including IonQ, Quantinuum and Infleqtion and worked with national labs including Sandia, Oak Ridge and Fermi. The interconnect operates on open architecture and works across different quantum modalities including trapped ion, superconducting and photonic systems. Costa declined to predict when quantum computing will produce meaningful commercial value, though some quantum companies estimate two to four years.

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China has completed the first phase of what it claims is the world's first underwater data center in Shanghai's Lingang Special Area. The facility cost roughly 1.6 billion yuan ($226 million) and operates on twenty-four megawatts of power drawn entirely from wind energy. Seawater acts as a natural cooling system for the submerged servers. Traditional land-based data centers devote up to 50% of their energy consumption to air conditioning. The underwater design reduces cooling energy demand to less than 10%. The first phase is designed to achieve a power usage effectiveness rating of no more than 1.15. More than 95% of the facility's electricity comes from offshore wind turbines in the East China Sea. The project reduces land usage by more than 90% and eliminates the need for fresh water. The main contractors signed an agreement to launch another offshore wind-powered underwater data center with a capacity of 500 megawatts.

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An anonymous reader shares a report: After last week's major AWS outage took Signal along with it, Elon Musk was quick to criticize the encrypted messaging app's reliance on big tech. But Signal president Meredith Whittaker argues that the company didn't have any other choice but to use AWS or another major cloud provider. "The problem here is not that Signal 'chose' to run on AWS," Whittaker writes in a series of posts on Bluesky. "The problem is the concentration of power in the infrastructure space that means there isn't really another choice: the entire stack, practically speaking, is owned by 3-4 players." In the thread, Whittaker says the number of people who didn't realize Signal uses AWS is "concerning," as it indicates they aren't aware of just how concentrated the cloud infrastructure industry is. "The question isn't 'why does Signal use AWS?'" Whittaker writes. "It's to look at the infrastructural requirements of any global, real-time, mass comms platform and ask how it is that we got to a place where there's no realistic alternative to AWS and the other hyperscalers."

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I've been around Linux long enough to stop expecting much from intro books. Most of them walk through commands '' maybe a few flags '' and never explain why those commands behave the way they do. You end up memorizing steps instead of understanding the system underneath.

Chegg says it will lay off about 45% of its workforce, or 388 employees, as the "new realities" of artificial intelligence and diminished traffic from internet search have led to plummeting revenue. From a report: The online education company, founded 20 years ago, has been hit by the rise of generative AI software tools, such as OpenAI's ChatGPT, which have become increasingly popular among students. Chegg also sued Google in February, arguing that AI summaries of search results have hurt its traffic and sales. The company reiterated that claim on Monday, saying AI and "reduced traffic from Google to content publishers" have damaged its business. "As a result, and reflecting the company's continued investment in AI, Chegg is restructuring the way it operates its academic learning products," the company said. The cuts come after Chegg in May laid off 22% of its workforce, citing increasing adoption of AI. Chegg's market cap has fallen 98.8% in recent years to about $135 million.

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An anonymous reader shares a report: More than half of the grades handed out at Harvard College are A's, an increase from decades past even as school officials have sounded the alarm for years about rampant grade inflation. About 60% of the grades handed out in classes for the university's undergraduate program are A's, up from 40% a decade ago and less than a quarter 20 years ago, according to a report released Monday by Harvard's Office of Undergraduate Education. Other elite universities, including competing Ivy League schools, have also been struggling to rein in grade inflation. The report's author, Harvard undergraduate dean Amanda Claybaugh, urged faculty to curtail the practice of awarding top scores to the majority of students, saying it undermines academic culture. "Current practices are not only failing to perform the key functions of grading; they are also damaging the academic culture of the college more generally," she said in the report.

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Microsoft and OpenAI have finalized a new agreement that removes uncertainty for investors and clears the path for OpenAI to restructure as a for-profit business. Microsoft receives a 27% ownership stake in OpenAI worth approximately $135 billion and retains access to the AI startup's technology until 2032, including models that achieve AGI. OpenAI completed its recapitalization, simplifying its corporate structure while keeping the nonprofit in control of the for-profit entity. The OpenAI Foundation receives an equity stake worth roughly $130 billion and plans to initially focus on funding work to accelerate health breakthroughs. Microsoft backed OpenAI with $13.75 billion and was the biggest holdout among investors during negotiations. Once OpenAI achieves AGI, verified by an independent expert panel, Microsoft will no longer receive a cut of OpenAI's revenue. Microsoft also loses its right of first refusal on new cloud infrastructure business from OpenAI, though OpenAI commits an additional $250 billion to Azure.

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Amazon said on Tuesday it would reduce its corporate workforce by approximately 14,000 roles as part of an effort to remove bureaucracy and organizational layers. Beth Galetti, the company's senior vice president of people experience and technology, told employees in a memo that the cuts followed earlier work to strengthen teams by reducing layers and increasing ownership. The company said it would offer most affected employees 90 days to find new roles internally and that recruiting teams would prioritize internal candidates. Those unable to find positions at Amazon will receive severance pay, outplacement services and health insurance benefits, the memo added.

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For the first time, George Orwell's Animal Farm and 1984 have been translated into Welsh, with localized titles, character names, and even a Welsh version of Newspeak. The BBC reports: Animal Farm, a 1945 political allegory inspired by the Russian Revolution, is set in north-west Wales in the Welsh edition, Foel yr Anifeiliaid, with Orwell's classic characters given Welsh names to add authenticity. Mil Naw Wyth Deg Pedwar, or 1984, Orwell's vision of a bleak totalitarian future, published in 1949, contains a Welsh version of Newspeak, the novel's fictional language. Both books remain "seminal works with timeless relevance," said Welsh book publisher Melin Bapur, and feel "particularly relevant now in an age of 'alternative facts', AI, and misinformation."

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A global shortage of jet engines is threatening the rapid expansion of AI data centers, as hyperscalers like OpenAI and Amazon scramble to secure aeroderivative turbines to power their energy-hungry AI clusters. With wait times stretching into the 2030s and emissions rising, the AI boom is literally running on jet fuel. Tom's Hardware reports: Interviews and market research indicate that manufacturers are quoting years-long lead times for turbine orders. Many of those placed today are being slotted for 2028-30, and customers are increasingly entering reservation agreements or putting down substantial deposits to hold future manufacturing capacity. "I would expect by the end of the summer, we will be largely sold out through the end of '28 with this equipment," said Scott Strazik, CEO of turbine maker GE Vernova, in an interview with Bloomberg back in March. General Electric's LM6000 and LM2500 series -- both derived from the CF6 jet engine family -- have quickly become the default choice for AI developers looking to spin up serious power in a hurry. OpenAI's infrastructure partner, Crusoe Energy, recently ordered 29 LM2500XPRESS units to supply roughly one gigawatt of temporary generation for Stargate, effectively creating a mobile jet-fueled grid inside a West Texas field. Meanwhile, ProEnergy, which retrofits used CF6-80C2 engines into trailer-mounted 48-megawatt units, confirmed that it has delivered more than 1 gigawatt of its PE6000 systems to just two data center clients. These engines, which were once strapped to Boeing 767s, now spend their lives keeping inference moving. Siemens Energy said this year that more than 60% of its US gas turbine orders are now linked to AI data centers. In some states, like Ohio and Georgia, regulators are approving multi-gigawatt gas buildouts tied directly to hyperscale footprints. That includes full pipeline builds and multi-phase interconnects designed around private-generation campuses. But the surge in orders has collided with the cold reality of turbine manufacturing timelines. GE Vernova is currently quoting 2028 or later for new industrial units, while Mitsubishi warns new turbine blocks ordered now may not ship until the 2030s. One developer reportedly paid $25 million just to reserve a future delivery slot.

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ExxonMobil has sued California, claiming the state's new climate disclosure laws violate its First Amendment rights by forcing the company to report greenhouse gas emissions and climate risks using standards it "fundamentally disagrees with." The Verge reports: The oil and gas company claims that the two laws in question aim to "embarrass" large corporations the state "believes are uniquely responsible for climate change" in order to push them to reduce their greenhouse gas emissions. There is overwhelming scientific consensus that greenhouse gas emissions from fossil fuels cause climate change by trapping heat on the planet. [...] Under laws the state passed in 2023, "ExxonMobil will be forced to describe its emissions and climate-related risks in terms the company fundamentally disagrees with," a complaint filed Friday says. The suit asks a US District Court to stop the laws from being enforced. [...] ExxonMobil's latest suit now says the company "understands the very real risks associated with climate change and supports continued efforts to address those risks," but that California's laws would force it "to describe its emissions and climate-related risks in terms the company fundamentally disagrees with." "These laws are about transparency. ExxonMobil might want to continue keeping the public in the dark, but we're ready to litigate vigorously in court to ensure the public's access to these important facts," Christine Lee, a spokesperson for the California Department of Justice, said in an email to The Verge.

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