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Linux users targeted as crypto-stealing malware hits Snap packages - here's how to stay safe  TechRadar

Nexus Mods say they are committed to supporting Vortex on SteamOS Linux  GamingOnLinux

AMD Ryzen AI Software 1.7 Released For Improved Performance On NPUs, New Model Support  phoronix.com

Highguard requires Secure Boot to play, which might not be a popular move  PC Gamer

Highguard requires Secure Boot to play, which might not be a popular move  pcgamer.com

Poly Effects Hugo: a Linux-based pedal powerhouse with Bitwig Studio and VSTs?  synth anatomy

3 cool Linux apps to try this weekend (January 23 - 25)  Yahoo! Tech

3 cool Linux apps to try this weekend (January 23 - 25)  How-To Geek

The United States formally withdrew from the World Health Organization on Thursday, making good on an executive order that President Trump issued on his first day in office pledging to leave the international organization that coordinates global responses to public health threats. The New York Times: While the United States is walking away from the organization, a senior official with the Department of Health and Human Services told reporters on Thursday that the Trump administration was considering some type of narrow, limited engagement with W.H.O. global networks that track infectious diseases, including influenza. As a W.H.O. member, the United States long sent scientists from the Centers for Disease Control and Prevention to participate in international decision-making about which strains to include in the flu vaccine. A W.H.O. meeting on next year's vaccine is scheduled for February. The official said the Trump administration would soon disclose how or whether it will participate. On Thursday, the administration said that all U.S. government funding to the organization had been terminated, and that all assigned federal employees and contractors had been recalled from its Geneva headquarters and its offices worldwide.

Read more of this story at Slashdot.

GNU Guix 1.5 Released With RISC-V Support, Experimental x86_64 GNU Hurd Kernel  phoronix.com

An anonymous reader quotes a report from NPR: TikTok has finalized a deal to create a new American entity, avoiding the looming threat of a ban in the United States that has been in discussion for years. The social video platform company signed agreements with major investors including Oracle, Silver Lake and MGX to form the new TikTok U.S. joint venture. The new version will operate under "defined safeguards that protect national security through comprehensive data protections, algorithm security, content moderation and software assurances for U.S. users," the company said in a statement Thursday. American TikTok users can continue using the same app. [...] Adam Presser, who previously worked as TikTok's head of operations and trust and safety, will lead the new venture as its CEO. He will work alongside a seven-member, majority-American board of directors that includes TikTok's CEO Shou Chew. [...] In addition to an emphasis on data protection, with U.S. user data being stored locally in a system run by Oracle, the joint venture will also focus on TikTok's algorithm. The content recommendation formula, which feeds users specific videos tailored to their preferences and interests, will be retrained, tested and updated on U.S. user data, the company said in its announcement. The algorithm has been a central issue in the security debate over TikTok. China previously maintained the algorithm must remain under Chinese control by law. But the U.S. regulation passed with bipartisan support said any divestment of TikTok must mean the platform cuts ties -- specifically the algorithm -- with ByteDance. Under the terms of this deal, ByteDance would license the algorithm to the U.S. entity for retraining. The law prohibits "any cooperation with respect to the operation of a content recommendation algorithm" between ByteDance and a new potential American ownership group, so it is unclear how ByteDance's continued involvement in this arrangement will play out. Oracle, Silver Lake and the Emirati investment firm MGX are the three managing investors, who each hold a 15% share. Other investors include the investment firm of Michael Dell, the billionaire founder of Dell Technologies. ByteDance retains 19.9% of the joint venture.

Read more of this story at Slashdot.

NexPhone revisits the long-running dream of combining your phone and laptop  New Atlas

Linux Foundation pushes open source AI with expanded 2026 events program  eeNews Europe

Servo 0.0.4 Browser Engine Released & Finally Supporting Multiple Windows  phoronix.com

Arduino UNO Q Is a Hybrid SBC With Linux and Real-Time Microcontroller  Linuxiac

alternative_right shares a report from ScienceAlert: A systematic review of 85 studies has now found good reason to differentiate between 'active' sitting, like playing cards or reading, and 'passive' sitting, like watching TV. [...] "Total sitting time has been shown to be related to brain health; however, sitting is often treated as a single entity, without considering the specific type of activity," explains public health researcher Paul Gardiner from the University of Queensland in Australia. "Most people spend many hours sitting each day, so the type of sitting really matters ... These findings show that small everyday choices -- like reading instead of watching television -- may help keep your brain healthier as you age." Across numerous studies, Gardiner and colleagues found that active sitting activities, like reading, playing card games, and using a computer, showed "overwhelmingly positive associations with cognitive health, enhancing cognitive functions such as executive function, situational memory, and working memory." Meanwhile, passive sitting was most consistently associated with negative cognitive outcomes, including increased risk of dementia. The study was published in the Journal of Alzheimer's Disease.

Read more of this story at Slashdot.

The late Jack Bogle was often credited with the saying: “Don’t look for the needle in the haystack. Just buy the haystack.” If you look at the entire “haystack” of the overall market as hundreds and thousands of individual companies, over time there are a lot of losers and a few big winners, or “needles”.

In addition, I’d also add the saying that “The haystack is always changing.” Check out the table above of the top 10 largest US companies in different decades, updated as of 12/31/25 as collected by JP Morgan Asset Management (this is a useful resource that is updated every quarter).

Notice that all the 1985 Top 10 companies are marked as green. There are fewer and fewer left in the top 10 after each decade that passes, and there are none in 2025. Most likely, by the time 2045 or 2065 rolls around – when you might be retired! – the Top 10 will include companies that don’t even exist today.

Investing in a simple market-cap index fund will always be criticized as “dumb” or “overweight this” or “underweight that”. I think weighing by the company value is a perfectly fine system for the patient, long-term investor. In the end, things shakes themselves out. If you buy the entire investable US stock market, or even extend this to the entire investable world stock market, you can be sure that you own all the eventual winners.

I enjoy not having to worry about things in the long term. If I feel like doing some active trading, I can, but I can also go weeks without checking a single stock ticker if I’m not in the mood.

Globe And Nokia Scale Open Source Network APIs Through Linux Foundation Camara  Open Source For You

Ancient Slashdot reader erice shares the findings from a recent study showing that while AI helped researchers publish more often and boosted their careers, the resulting papers were, on average, less useful. "You have this conflict between individual incentives and science as a whole," says James Evans, a sociologist at the University of Chicago who led the study. From a recent IEEE Spectrum article: To quantify the effect, Evans and collaborators from the Beijing National Research Center for Information Science and Technology trained a natural language processing model to identify AI-augmented research across six natural science disciplines. Their dataset included 41.3 million English-language papers published between 1980 and 2025 in biology, chemistry, physics, medicine, materials science, and geology. They excluded fields such as computer science and mathematics that focus on developing AI methods themselves. The researchers traced the careers of individual scientists, examined how their papers accumulated attention, and zoomed out to consider how entire fields clustered or dispersed intellectually over time. They compared roughly 311,000 papers that incorporated AI in some way -- through the use of neural networks or large language models, for example -- with millions of others that did not. The results revealed a striking trade-off. Scientists who adopt AI gain productivity and visibility: On average, they publish three times as many papers, receive nearly five times as many citations, and become team leaders a year or two earlier than those who do not. But when those papers are mapped in a high-dimensional "knowledge space," AI-heavy research occupies a smaller intellectual footprint, clusters more tightly around popular, data-rich problems, and generates weaker networks of follow-on engagement between studies. The pattern held across decades of AI development, spanning early machine learning, the rise of deep learning, and the current wave of generative AI. "If anything," Evans notes, "it's intensifying." [...] Aside from recent publishing distortions, Evans's analysis suggests that AI is largely automating the most tractable parts of science rather than expanding its frontiers.

Read more of this story at Slashdot.

Advanced Linux malware framework VoidLink likely built with AI  Digital Watch Observatory