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Linux Mint 22.3 "Zena" is Officially Available Now! Introduces Two New Apps  It's FOSS

Opera GX Gaming Browser Confirms Native Linux Version  Linuxiac

Wikipedia turns 25 today, and the online encyclopedia is celebrating that with an announcement that it has signed new licensing deals with a slate of major AI companies -- Amazon, Microsoft, Meta Platforms, Perplexity and Mistral AI. The deals allow these companies to access Wikipedia content "at a volume and speed designed specifically for their needs." The Wikimedia Foundation did not disclose financial terms. Google had already signed on as one of the first enterprise customers back in 2022. The agreements follow the Wikimedia Foundation's push last year for AI developers to pay for access through its enterprise platform. The foundation said human traffic had fallen 8% while bot visits -- sometimes disguised to evade detection -- were heavily taxing its servers. Wikipedia founder Jimmy Wales said he welcomes AI training on the site's human-curated content but that companies "should probably chip in and pay for your fair share of the cost that you're putting on us." The site remains the ninth most visited on the internet, hosting more than 65 million articles in 300 languages maintained by some 250,000 volunteer editors.

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Stop swapping keyboards: This free app stitches your Linux and Windows PCs together  How-To Geek

Garuda Linux Publishes First ISO Refresh of 2026 With NVIDIA 590 Drivers  Linuxiac

"Windows is bad software" – GOG to increase its reliance on Linux  Notebookcheck

Anthropic's fourth installment of its Economic Index, drawing on an anonymized sample of two million Claude conversations from November 2025, finds that AI is changing how people work rather than whether they work at all. The study tracked usage across the company's consumer-facing Claude.ai platform and its API, categorizing interactions as either automation (where AI completes tasks entirely) or augmentation (where humans and AI collaborate). The split came out to 52% augmentation and 45% automation on Claude.ai, a slight shift from January 2025 when augmentation led 55% to 41%. The share of jobs using AI for at least a quarter of their tasks has risen from 36% in January to 49% across pooled data from multiple reports. Anthropic's researchers also found that AI delivers its largest productivity gains on complex work requiring college-level education, speeding up those tasks by a factor of 12 compared to 9 for high-school-level work. Claude completes college-degree tasks successfully 66% of the time versus 70% for simpler work. Computer and mathematical tasks continue to dominate usage, accounting for roughly a third of Claude.ai conversations and nearly half of API traffic.

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Imagination Driver To Support The TI AM62P SoC In Linux 6.20~7.0  Phoronix

White-collar workers stuck in a cycle of layoffs and stagnant wages might want to look past the traditional tech, finance and media job postings to an unexpected source of opportunity: the blue-collar sector, which faces a labor shortage and is seeing rapid transformation through private-equity investment. These jobs are generally less vulnerable to AI, and the earning trajectory can be steep, the WSJ writes. At Crash Champions, a car-repair chain that has grown from 13 locations in 2019 to about 650 shops across 38 states, service advisers start at roughly $60,000 after a six-month apprenticeship and can double that within 18 months, according to CEO Matt Ebert. Directors overseeing multiple locations earn more than $200,000. Power Home Remodeling, a PE-backed construction company, says tech sales professionals earning $85,000 to $100,000 could make lateral moves after a 10-week training program. The share of workers in their early 20s employed in blue-collar roles rose from 16.3% in 2019 to 18.4% in 2024, according to ADP -- five times the increase among 35- to 39-year-olds.

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YouTube announced it’s now the largest digital library of Sesame Street content.

I spent a year on Linux and forgot to miss Windows  The Verge

'It's such poor-quality software… I can't believe it!': Owner of big gaming platform is surprised at how bad Windows 11 has got  TechRadar

Even more AMD ray tracing performance improvements heading to Mesa on Linux  GamingOnLinux

An anonymous reader quotes a report from TechCrunch: Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI's new model when he made an unexpected discovery. After pasting the problem into ChatGPT and letting it think for 15 minutes, he came back to a full solution. He evaluated the proof and formalized it with a tool called Harmonic -- but it all checked out. "I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they struggle," Somani said. The surprise was that, using the latest model, the frontier started to push forward a bit. ChatGPT's chain of thought is even more impressive, rattling off mathematical axioms like Legendre's formula, Bertrand's postulate, and the Star of David theorum. Eventually, the model found a Math Overflow post from 2013, where Harvard mathematician Noam Elkies had given an elegant solution to a similar problem. But ChatGPT's final proof differed from Elkies' work in important ways, and gave a more complete solution to a version of the problem posed by legendary mathematician Paul Erdos, whose vast collection of unsolved problems has become a proving ground for AI. For anyone skeptical of machine intelligence, it's a surprising result -- and it's not the only one. AI tools have become ubiquitous in mathematics, from formalization-oriented LLMs like Harmonic's Aristotle to literature review tools like OpenAI's deep research. But since the release of GPT 5.2 -- which Somani describes as "anecdotally more skilled at mathematical reasoning than previous iterations" -- the sheer volume of solved problems has become difficult to ignore, raising new questions about large language models' ability to push the frontiers of human knowledge. Somani examined the online archive of more than 1,000 Erdos conjectures. Since Christmas, 15 Erdos problems have shifted from "open" to "solved," with 11 solutions explicitly crediting AI involvement. On GitHub, mathematician Terence Tao identifies eight Erdos problems where AI made meaningful autonomous progress and six more where it advanced work by finding and extending prior research, noting on Mastodon that AI's scalability makes it well suited to tackling the long tail of obscure, often straightforward Erdos problems. Progress is also being accelerated by a push toward formalization, supported by tools like the open-source "proof assistant" Lean and newer AI systems such as Harmonic's Aristotle.

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Tails 7.4 Anonymous Linux OS Released with Persistent Language and Formats  9to5Linux

Wine 11 runs Windows apps in Linux and macOS better than ever  theregister.com

The head of GOG wants to focus on Linux and slams Windows  Instant Gaming News

Gaming on Linux just got a bump with new Wine 11 improvements that'll make for a better Proton on SteamOS, too  PC Gamer

‘It’s such poor quality software’: GOG owner criticises Windows, says it will support Linux better in the future  Video Games Chronicle

The best Arch Linux distro for beginners just got even easier to set up  XDA