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The big new Linux release isn’t a big deal  PCWorld

Linux 7.0 launches with enablement for Intel Nova Lake, AMD Zen 6 — major kernel update expected in Ubuntu 26.04 LTS and Fedora 44 first  Tom's Hardware

U.S. artificial-intelligence startup Anthropic said three Chinese AI companies set up more than 24,000 fraudulent accounts with its Claude AI model to help their own systems catch up. From a report: The three companies -- DeepSeek, Moonshot AI and MiniMax -- prompted Claude more than 16 million times, siphoning information from Anthropic's system to train and improve their own products, Anthropic said in a blog post Monday. Earlier this month, an Anthropic rival, OpenAI, sent a memo to House lawmakers accusing DeepSeek of using the same tactic, called distillation, to mimic OpenAI's products. Anthropic said distillation had legitimate uses -- companies use it to build smaller versions of their own products, for example -- but it could also be used to build competitive products "in a fraction of the time, and at a fraction of the cost." The scale of the different companies' distillation activity varied. DeepSeek engaged in 150,000 interactions with Claude, whereas Moonshot and MiniMax had more than 3.4 million and 13 million, respectively, Anthropic said.

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Why 2026 is officially the year of the KDE Linux desktop  MakeUseOf

The first fiber-optic cable ever laid across an ocean -- TAT-8, a nearly 6,000-kilometer line between the United States, United Kingdom, and France that carried its first traffic on December 14, 1988 -- is now being pulled off the Atlantic seabed after more than two decades of sitting dormant, bound for recycling in South Africa. Subsea Environmental Services, one of only three companies in the world whose entire business is cable recovery and recycling, began the operation last year using its new diesel-electric vessel, the MV Maasvliet, and had already brought 1,012 kilometers of the cable to the Portuguese port of Leixoes by August. TAT-8, short for Trans-Atlantic Telephone 8, was built by AT&T, British Telecom, and France Telecom, and hit full capacity within just 18 months of going live. A fault too expensive to repair took it out of service in 2002. The recovered cable is being shipped to Mertech Marine in South Africa, where it will be broken down into steel, copper, and two types of polyethylene -- all commercially valuable, especially the high-quality copper at a time when the International Energy Agency projects global shortages within a decade.

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Linux Foundation Showcases Open Collaboration Across AI, 5G, Cloud-Native Telco, and Digital Skills at MWC Barcelona 2026  Yahoo Finance

Linux Foundation Showcases Open Collaboration Across AI, 5G, Cloud-Native Telco, and Digital Skills at MWC Barcelona 2026  PR Newswire

Learn more about Lyria 3, Google DeepMind’s newest generative AI that can help you create your own tunes.Learn more about Lyria 3, Google DeepMind’s newest generative AI that can help you create your own tunes.

Fedora Pocketblue Remix is an atomic Linux distro for mobile devices (phones and tablets)  Liliputing

An anonymous reader shares a report: PayPal, the digital payments pioneer, is attracting takeover interest from potential buyers after a stock slide wiped out almost half of its value, according to people familiar with the matter. The San Jose, California-based company has fielded meetings with banks amid unsolicited interest from suitors, the people said. At least one large rival is looking at the whole company, while some other suitors are only interested in certain PayPal assets, the people said, asking not to be identified because the information is private. Buyer interest in PayPal is still at a preliminary stage and may not lead to a transaction, the people cautioned. Founded in the late 1990s, PayPal was an early mover in the world of digital payments. But the company now finds itself in a rut with its customers increasingly turning to alternative ways to pay for things. PayPal's shares have fallen around 46% in New York trading over the last 12 months, giving the company a market value of about $38.4 billion.

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Windows users can thank Linux for these 5 essential features  How-To Geek

Climate scientists trying to predict how much hotter the planet will get have long grappled with a surprisingly stubborn problem -- clouds, which both reflect sunlight and trap heat, account for more than half the variation between climate predictions and are the main reason warming projections for the next 50 years range from 2 to 6 degrees Celsius. Two research groups are now racing to close that gap using AI, though they disagree sharply on method. Tapio Schneider at Caltech built CLIMA, a model that uses machine learning to optimize cloud parameters within traditional physics equations; it will be unveiled at a conference in Japan in March. Chris Bretherton at the Allen Institute for AI took a different path -- his ACE2 neural network, released in 2024, learns from 50 years of atmospheric data and largely bypasses physics equations altogether.

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This Bash script automated my messy downloads folder  How-To Geek

A study published last week in PNAS found that people who regularly cause problems or make life difficult -- whom the researchers call "hasslers" -- are associated with measurably faster biological aging in those around them, at a rate of roughly 1.5% per additional hassler and about nine months of additional biological age relative to same-age peers. The research drew on DNA methylation-based epigenetic clocks and ego-centric network data from a state-representative probability sample of 2,345 adults in Indiana, aged 18 to 103. Nearly 29% of respondents reported at least one hassler in their close network. The biological toll varied by relationship type: hasslers who were family members showed the strongest and most consistent associations with accelerated aging, while spouse hasslers showed no significant effect on either epigenetic measure. The damage also went beyond aging clocks -- each additional hassler was associated with greater depression and anxiety severity, higher BMI, increased inflammation, and higher multimorbidity. When benchmarked against smoking, a major behavioral risk factor for aging, the hassler effect corresponded to roughly 13 to 17% of smoking's estimated impact on the same aging clocks.

Read more of this story at Slashdot.

OpenAI CEO Sam Altman is pushing back on growing concerns about AI's environmental footprint, dismissing claims about ChatGPT's water consumption as "totally fake" and arguing that the fairer way to measure AI's energy use is to compare it against humans. In an interview with Indian Express, Altman acknowledged that evaporative cooling in data centers once made water usage a real concern but said that is no longer the case, calling internet claims of 17 gallons of water per query "completely untrue, totally insane, no connection to reality." On energy, he conceded it is "fair" to worry about total consumption given how heavily the world now relies on AI, and called for a rapid shift toward nuclear, wind and solar power. He took particular issue with comparisons that pit the cost of training a model against a single human inference, noting it "takes like 20 years of life and all of the food you eat" before a person gets smart -- and that on a per-query basis, AI has "probably already caught up on an energy efficiency basis."

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Modern AMD Graphics Driver Surpasses Six Million Lines Of Code In Linux 7.0  Phoronix

The narrative that AI spending has been singlehandedly propping up the U.S. economy -- a claim that captivated Silicon Valley, Wall Street and Washington over the past year -- is facing serious pushback from economists [non-paywalled source] at Goldman Sachs, Morgan Stanley and JPMorgan Chase, all of whom now calculate that the AI buildup's direct contribution to growth was dramatically overstated and possibly close to zero. The debate hinges on how GDP accounts for imported components: roughly three-quarters of AI data center costs go toward computer chips and gear largely manufactured in Asia, and that spending gets subtracted from domestic output because it boosts foreign economies. Joseph Politano of the Apricitas Economics newsletter pegs AI's actual contribution at about 0.2 percentage points of the 2.2 percent U.S. growth in 2025, and even Hannah Rubinton at the St. Louis Fed -- whose own analysis attributed 39 percent of growth to AI-related business spending through the first nine months of the year -- acknowledges that figure is probably the ceiling. "It's not like AI is propping up the economy," Rubinton said.

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Intel ANV Driver Sees Several Vulkan Video H.265 Encode Fixes  Phoronix

"In August 2025, TypeScript surpassed both Python and JavaScript to become the most-used language on GitHub for the first time ever..." writes GitHub's senior developer advocate. They point to this as proof that "AI isn't just speeding up coding. It's reshaping which languages, frameworks, and tools developers choose in the first place." Eighty percent of new developers on GitHub use Copilot within their first week. Those early exposures reset the baseline for what "easy" means. When AI handles boilerplate and error-prone syntax, the penalty for choosing powerful but complex languages disappears. Developers stop avoiding tools with high overhead and start picking based on utility instead. The language adoption data shows this behavioral shift: — TypeScript grew 66% year-over-year — JavaScript grew 24% — Shell scripting usage in AI-generated projects jumped 206% That last one matters. We didn't suddenly love Bash. AI absorbed the friction that made shell scripting painful. So now we use the right tool for the job without the usual cost. "When a task or process goes smoothly, your brain remembers," they point out. "Convenience captures attention. Reduced friction becomes a preference — and preferences at scale can shift ecosystems." "AI performs better with strongly typed languages. Strongly typed languages give AI much clearer constraints..." "Standardize before you scale. Document patterns. Publish template repositories. Make your architectural decisions explicit. AI tools will mirror whatever structures they see." "Test AI-generated code harder, not less."

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Why you should try these 9 "strange" Linux distros (even if you never switch)  How-To Geek