23 Jan 2026

feedSlashdot

'Active' Sitting Is Better For Brain Health

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.

23 Jan 2026 10:00am GMT

AI Boosts Research Careers But Flattens Scientific Discovery

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.

23 Jan 2026 7:00am GMT

South Korea Launches Landmark Laws To Regulate AI

An anonymous reader quotes a report from the Korea Herald: South Korea will begin enforcing its Artificial Intelligence Act on Thursday, becoming the first country to formally establish safety requirements for high-performance, or so-called frontier, AI systems -- a move that sets the country apart in the global regulatory landscape. According to the Ministry of Science and ICT, the new law is designed primarily to foster growth in the domestic AI sector, while also introducing baseline safeguards to address potential risks posed by increasingly powerful AI technologies. Officials described the inclusion of legal safety obligations for frontier AI as a world-first legislative step. The act lays the groundwork for a national-level AI policy framework. It establishes a central decision-making body -- the Presidential Council on National Artificial Intelligence Strategy -- and creates a legal foundation for an AI Safety Institute that will oversee safety and trust-related assessments. The law also outlines wide-ranging support measures, including research and development, data infrastructure, talent training, startup assistance, and help with overseas expansion. To reduce the initial burden on businesses, the government plans to implement a grace period of at least one year. During this time, it will not carry out fact-finding investigations or impose administrative sanctions. Instead, the focus will be on consultations and education. A dedicated AI Act support desk will help companies determine whether their systems fall within the law's scope and how to respond accordingly. Officials noted that the grace period may be extended depending on how international standards and market conditions evolve. The law applies to three areas only: high-impact AI, safety obligations for high-performance AI and transparency requirements for generative AI. Enforcement under the Korean law is intentionally light. It does not impose criminal penalties. Instead, it prioritizes corrective orders for noncompliance, with fines -- capped at 30 million won ($20,300) -- issued only if those orders are ignored. This, the government says, reflects a compliance-oriented approach rather than a punitive one. Transparency obligations for generative AI largely align with those in the EU, but Korea applies them more narrowly. Content that could be mistaken for real, such as deepfake images, video or audio, must clearly disclose its AI-generated origin. For other types of AI-generated content, invisible labeling via metadata is allowed. Personal or noncommercial use of generative AI is excluded from regulation. "This is not about boasting that we are the first in the world," said Kim Kyeong-man, deputy minister of the office of artificial intelligence policy at the ICT ministry. "We're approaching this from the most basic level of global consensus." Korea's approach differs from the EU by defining "high-performance AI" using technical thresholds like cumulative training compute, rather than regulating based on how AI is used. As a result, Korea believes no current models meet the bar for regulation, while the EU is phasing in broader, use-based AI rules over several years.

Read more of this story at Slashdot.

23 Jan 2026 3:30am GMT

22 Jan 2026

feedArs Technica

US officially out of WHO, leaving hundreds of millions of dollars unpaid

US did not pay $278 million in 2024-2025 dues and millions more in promised funds.

22 Jan 2026 11:07pm GMT

Overrun with AI slop, cURL scraps bug bounties to ensure "intact mental health"

The onslaught includes LLMs finding bogus vulnerabilities and code that won't compile.

22 Jan 2026 10:46pm GMT

Hacker who stole 120,000 bitcoins wants a second chance—and a security job

Crypto theft was "the worst thing I had ever done."

22 Jan 2026 10:23pm GMT

feedOSnews

ReactOS turns 30

ReactOS is celebrating its 30th birthday. Happy Birthday ReactOS! Today marks 30 years since the first commit to the ReactOS source tree. It's been such a long journey that many of our contributors today, including myself, were not alive during this event. Yet our mission to deliver "your favorite Windows apps and drivers in an open-source environment you can trust" continues to bring people together. Let's take a brief look at some of the high and low points throughout our history. ↫ Carl Bialorucki at the ReactOS website OSNews has been following ReactOS since about 2002 or so (the oldest reference I could find, but note that our 1997-2001 content isn't available online, so we may have mentioned it earlier), so you can definitely say we all grew up alongside ReactOS' growth and development. All of the events the team mentions in their retrospective on 30 years of ReactOS were covered here on OSNews as well, which is wild to think about. Personally, I don't really know how to feel about the project. On the one hand, I absolutely adore that dedicated, skilled, and talented individuals dedicate their precious free time to something as ambitious as creating a Windows NT-compatible operating system, and there's no denying they've achieved incredible feats of engineering few people in the world are capable of. ReactOS is a hobby operating system that survived the test of time where few others have - AtheOS, Syllable, SkyOS , and so many others mentioned in that oldest reference I linked to are long dead and gone - and that alone makes it a massively successful project. On the other hand, its sheer ambition is also what holds the project down. If you say you're going to offer a Windows NT-compatible operating system, you set expectations so insanely high you'll never even come close to meeting them. Every time I've seen someone try ReactOS, either in writing or on YouTube, they always seem to come away disappointed - not because ReactOS isn't impressive, but because it's inevitably so far removed from its ambitious goals. And that's a real shame. If you take away that ambitious goal of being Windows NT-compatible, and just focus on what they've already achieved as it stands now, there's a really impressive and fun alternative operating system here. I really hope the next 30 years will be kind to ReactOS.

22 Jan 2026 9:11pm GMT

Nekoware resurrected: freeware and open source repository for IRIX

If you have any interest in SGI's IRIX or used IRIX back when it was still current, you're undoubtedly aware of Nekoware, a collection of freeware for IRIX, maintained and kept up-to-date as much as possible. After stagnating in 2015 and a few failed restarts and some infighting (apparently), the project finally relaunched somewhere last year, and a new quarterly release was pushed out. Nekoware 2025Q4 is a clean break from previous releases, and requires that users fully remove any traces of previous installations. It contains the kinds of packages these freeware/open source collections for classic UNIX tended to contain: tons of common open source libraries, command-line tools, and more, including a few emulators. You'll need IRIX 6.5.21 or newer, running on at least a MIPS R5000 processor-equipped SGI machine. Planning for and work on the next release is already underway, and a brand new Nekoware SDK has been released as well, which provides bootstrap functionality and addresses the problem of having to build Nekoware on unstable IRIX environments. Seeing Nekoware resurrected is great news for the surprisingly active IRIX community. As a HP-UX user, I feel some envy.

22 Jan 2026 4:11pm GMT

KIM-1 turns 50

In January 1976, MOS Technologies presented a demonstration computer for their recently developed 6502 processor. MOS, which was acquired by Commodore later that year, needed to show the public what their low-cost processor was able to. The KIM-1 single board computer came fully assembled with an input keypad, a six-digit LED display, and complete documentation. It was intended for developers, but it turned out that at a price of only $249 the computer was the ideal playground for hobbyists, who could now afford a complete computer. The unforgettable Jim Butterfield described it like this back in 1999: But suddenly there was the KIM-1. It was fully assembled (although you had to add a power supply). Everybody's KIM-1 was essentially the same (although the CPU added an extra instruction during the KIM-1's production life). And this created something that was never before part of the home computer phenomenon: users could quite happily exchange programs with each other; magazines could publish such programs; and people could talk about a known system. We knew the 6502 chip was great, but it took quite a while to convince the majority of computer hobbyists. MOS Technology offered this CPU at a price that was a fraction of what the other available chips cost. We faced the attitude that "it must be no good because it's too cheap," even though the 6502, with its pipelined architecture, outperformed the 8080 and the 6800." ↫ Jim Butterfield Even though there would soon be better equipped and faster home computers (mostly based on the 6502) and the KIM-1 vanished from the collective minds, the home computer revolution started 50 years ago in Jan 1976. Hans Otten keeps the memory alive on his homepage, where you can find a full collection of information about single-board computers and especially the KIM-1.

22 Jan 2026 3:44pm GMT

19 Jan 2026

feedPlanet Arch Linux

Personal infrastructure setup 2026

While starting this post I realized I have been maintaining personal infrastructure for over a decade! Most of the things I've self-hosted is been for personal uses. Email server, a blog, an IRC server, image hosting, RSS reader and so on. All of these things has all been a bit all over the place and never properly streamlined. Some has been in containers, some has just been flat files with a nginx service in front and some has been a random installed Debian package from somewhere I just forgot.

19 Jan 2026 12:00am GMT

11 Jan 2026

feedPlanet Arch Linux

Verify Arch Linux artifacts using VOA/OpenPGP

In the recent blog post on the work funded by Sovereign Tech Fund (STF), we provided an overview of the "File Hierarchy for the Verification of OS Artifacts" (VOA) and the voa project as its reference implementation. VOA is a generic framework for verifying any kind of distribution artifacts (i.e. files) using arbitrary signature verification technologies. The voa CLI ⌨️ The voa project offers the voa(1) command line interface (CLI) which makes use of the voa(5) configuration file format for technology backends. It is recommended to read the respective man pages to get …

11 Jan 2026 12:00am GMT

10 Jan 2026

feedPlanet Arch Linux

A year of work on the ALPM project

In 2024 the Sovereign Tech Fund (STF) started funding work on the ALPM project, which provides a Rust-based framework for Arch Linux Package Management. Refer to the project's FAQ and mission statement to learn more about the relation to the tooling currently in use on Arch Linux. The funding has now concluded, but over the time of 15 months allowed us to create various tools and integrations that we will highlight in the following sections. We have worked on six milestones with focus on various aspects of the package management ecosystem, ranging from formalizing, parsing and writing of …

10 Jan 2026 12:00am GMT