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ShadowHS: New Stealthy Fileless Linux Malware Spreads Automatically  gbhackers.com

Phoronix reports: Chris Mason, the longtime Linux kernel developer most known for being the creator of Btrfs, has been working on a Git repository with AI review prompts he has been working on for LLM-assisted code review of Linux kernel patches. This initiative has been happening for some weeks now while the latest work was posted today for comments... The Meta engineer has been investing a lot of effort into making this AI/LLM-assisted code review accurate and useful to upstream Linux kernel stakeholders. It's already shown positive results and with the current pace it looks like it could play a helpful part in Linux kernel code review moving forward. "I'm hoping to get some feedback on changes I pushed today that break the review up into individual tasks..." Mason wrote on the Linux kernel mailing list. "Using tasks allows us to break up large diffs into smaller chunks, and review each chunk individually. This ends up using fewer tokens a lot of the time, because we're not sending context back and forth for the entire diff with every turn. It also catches more bugs all around."

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Phoronix reports: Chris Mason, the longtime Linux kernel developer most known for being the creator of Btrfs, has been working on a Git repository with AI review prompts he has been working on for LLM-assisted code review of Linux kernel patches. This initiative has been happening for some weeks now while the latest work was posted today for comments... The Meta engineer has been investing a lot of effort into making this AI/LLM-assisted code review accurate and useful to upstream Linux kernel stakeholders. It's already shown positive results and with the current pace it looks like it could play a helpful part in Linux kernel code review moving forward. "I'm hoping to get some feedback on changes I pushed today that break the review up into individual tasks..." Mason wrote on the Linux kernel mailing list. "Using tasks allows us to break up large diffs into smaller chunks, and review each chunk individually. This ends up using fewer tokens a lot of the time, because we're not sending context back and forth for the entire diff with every turn. It also catches more bugs all around."

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An Event Badge Re-Imagined As A Cyberdeck  Hackaday

ShadowHS Fileless Malware Targets Linux Systems With Automated Spread  Cyber Press

Samsung’s Galaxy S26 Ultra could get the Linux feature the S25 missed  Phandroid

"Technology companies spent part of the 2010s trying to convince us that we would want an 8K display one day..." writes Ars Technica. "However, 8K never proved its necessity or practicality." LG Display is no longer making 8K LCD or OLED panels, FlatpanelsHD reported today... LG Electronics was the first and only company to sell 8K OLED TVs, starting with the 88-inch Z9 in 2019. In 2022, it lowered the price-of-entry for an 8K OLED TV by $7,000 by charging $13,000 for a 76.7-inch TV. FlatpanelsHD cited anonymous sources who said that LG Electronics would no longer restock the 2024 QNED99T, which is the last LCD 8K TV that it released. LG's 8K abandonment follows other brands distancing themselves from 8K. TCL, which released its last 8K TV in 2021, said in 2023 that it wasn't making more 8K TVs due to low demand. Sony discontinued its last 8K TVs in April and is unlikely to return to the market, as it plans to sell the majority ownership of its Bravia TVs to TCL. The tech industry tried to convince people that the 8K living room was coming soon. But since the 2010s, people have mostly adopted 4K. In September 2024, research firm Omdia reported that there were "nearly 1 billion 4K TVs currently in use." In comparison, 1.6 million 8K TVs had been sold since 2015, Paul Gray, Omdia's TV and video technology analyst, said, noting that 8K TV sales peaked in 2022. That helps explain why membership at the 8K Association, launched by stakeholders Samsung, TCL, Hisense, and panel maker AU Optronics in 2019, is dwindling. As of this writing, the group's membership page lists 16 companies, including just two TV manufacturers (Samsung and Panasonic). Membership no longer includes any major TV panel suppliers. At the end of 2022, the 8K Association had 33 members, per an archived version of the nonprofit's online membership page via the Internet Archive's Wayback Machine. "It wasn't hard to predict that 8K TVs wouldn't take off," the article concludes. "In addition to being too expensive for many households, there's been virtually zero native 8K content available to make investing in an 8K display worthwhile..."

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Microsoft designer proposes a Linux-style dock for Windows  OMG! Ubuntu

Compact SMARC module combines Linux, AI, and vision on i.MX 8M Plus  LinuxGizmos.com

The EU "has switched on parts of its homegrown secure satellite communications network for the first time," reports Bloomberg, calling it part of a €10.6 billion push to "wean itself off US support amid growing tensions." SpaceNews notes the new government program GOVSATCOM pools capacity from eight already on-oribit satellites from France, Spain, Italy, Greece and Luxembourg — both national and commercial. And they cite this prediction by EU Defense and Space Commissioner Andrius Kubilius. The program could expand by 2027. "All member states can now have access to sovereign satellite communications — military and government, secure and resilient, built in Europe, operated in Europe, and under European control," [Kubilius said during his opening remarks at the European Space Conference]... Beginning in 2029, GOVSATCOM is expected to integrate with the 290 satellites in the Infrastructure for Resilience, Interconnectivity and Security by Satellite constellation, known as IRIS2, and be fully operational... "The goal is connectivity and security for all of Europe — guaranteed access for all member states and full European control."

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Tria launches Linux-ready OSM-LF-IMX95 45 × 45 mm module  LinuxGizmos.com

Linux Gaming Is Finally Legit: Why Steam Players Are Switching From Windows  Gizchina.com

I struggled with Hyprland for months, until this Arch-based distro fixed it  ZDNET

"Most Go developers are now using AI-powered development tools when seeking information (e.g., learning how to use a module) or toiling (e.g., writing repetitive blocks of similar code)." That's one of the conclusions Google's Go team drew from September's big survey of 5,379 Go developers. But the survey also found that among Go developers using AI-powered tools, "their satisfaction with these tools is middling due, in part, to quality concerns." Our survey suggests bifurcated adoption — while a majority of respondents (53%) said they use such tools daily, there is also a large group (29%) who do not use these at all, or only used them a few times during the past month. We expected this to negatively correlate with age or development experience, but were unable to find strong evidence supporting this theory except for very new developers: respondents with less than one year of professional development experience (not specific to Go) did report more AI use than every other cohort, but this group only represented 2% of survey respondents. At this time, agentic use of AI-powered tools appears nascent among Go developers, with only 17% of respondents saying this is their primary way of using such tools, though a larger group (40%) are occasionally trying agentic modes of operation... We also asked about overall satisfaction with AI-powered development tools. A majority (55%) reported being satisfied, but this was heavily weighted towards the "Somewhat satisfied" category (42%) vs. the "Very satisfied" group (13%)... [D]eveloper sentiment towards them remains much softer than towards more established tooling (among Go developers, at least). What is driving this lower rate of satisfaction? In a word: quality. We asked respondents to tell us something good they've accomplished with these tools, as well as something that didn't work out well. A majority said that creating non-functional code was their primary problem with AI developer tools (53%), with 30% lamenting that even working code was of poor quality. The most frequently cited benefits, conversely, were generating unit tests, writing boilerplate code, enhanced autocompletion, refactoring, and documentation generation. These appear to be cases where code quality is perceived as less critical, tipping the balance in favor of letting AI take the first pass at a task. That said, respondents also told us the AI-generated code in these successful cases still required careful review (and often, corrections), as it can be buggy, insecure, or lack context... [One developer said reviewing AI-generated code was so mentally taxing that it "kills the productivity potential".] Of all the tasks we asked about, "Writing code" was the most bifurcated, with 66% of respondents already or hoping to soon use AI for this, while 1/4 of respondents didn't want AI involved at all. Open-ended responses suggest developers primarily use this for toilsome, repetitive code, and continue to have concerns about the quality of AI-generated code. Most respondents also said they "are not currently building AI-powered features into the Go software they work on (78%)," the surveyors report, "with 2/3 reporting that their software does not use AI functionality at all (66%)." This appears to be a decrease in production-related AI usage year-over-year; in 2024, 59% of respondents were not involved in AI feature work, while 39% indicated some level of involvement. That marks a shift of 14 points away from building AI-powered systems among survey respondents, and may reflect some natural pullback from the early hype around AI-powered applications: it's plausible that lots of folks tried to see what they could do with this technology during its initial rollout, with some proportion deciding against further exploration (at least at this time). Among respondents who are building AI- or LLM-powered functionality, the most common use case was to create summaries of existing content (45%). Overall, however, there was little difference between most uses, with between 28% — 33% of respondents adding AI functionality to support classification, generation, solution identification, chatbots, and software development.

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Talks "are at a standstill" for Anthropic's potential $200 million contract with America's Defense Department, reports Reuters (citing several people familiar with the discussions.") The two issues? - Using AI to surveil Americans - Safeguards against deploying AI autonomously The company's position on how its AI tools can be used has intensified disagreements between it and the Trump administration, the details of which have not been previously reported... Anthropic said its AI is "extensively used for national security missions by the U.S. government and we are in productive discussions with the Department of War about ways to continue that work..." In an essay on his personal blog, Anthropic CEO Dario Amodei warned this week that AI should support national defense "in all ways except those which would make us more like our autocratic adversaries. A person "familiar with the matter" told the Wall Street Journal this could lead to the cancellation of Anthropic's contract: Tensions with the administration began almost immediately after it was awarded, in part because Anthropic's terms and conditions dictate that Claude can't be used for any actions related to domestic surveillance. That limits how many law-enforcement agencies such as Immigration and Customs Enforcement and the Federal Bureau of Investigation could deploy it, people familiar with the matter said. Anthropic's focus on safe applications of AI — and its objection to having its technology used in autonomous lethal operations — have continued to cause problems, they said. Amodei's essay calls for "courage, for enough people to buck the prevailing trends and stand on principle, even in the face of threats to their economic interests and personal safety..."

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This tiny Linux USB tool can save almost any broken PC  MakeUseOf

The Wall Street Journal says that Meta "might be reaping some of the richest benefits from the AI boom so far." Meta's revenue grew 22% year over year in 2025 to $201 billion, and the company expects even bigger gains in the current quarter, potentially as high as 34%. That is huge growth for a company that brought in nearly $60 billion in the latest three-month period. And Zuckerberg signaled that Meta was just scratching the surface of AI's potential. "Our world-class recommendation systems are already driving meaningful growth across our apps and ads business. But we think that the current systems are primitive compared to what will be possible soon," he said on a call with investors and analysts... [Meta's Chief Financial Officer Susan] Li said the company doubled the number of graphics-processing units that it used to train its ad-ranking model in the fourth quarter and adopted a new learning architecture. Those actions led users to click on ads on Facebook 3.5% more often and to a gain of more than 1% in conversions, meaning purchases, subscriptions or leads, on Instagram, she said. Other AI-related improvements led to a 3% increase in conversions across its family of apps. On the ad-buying side, Meta has also been working toward using AI to automate ad creation for businesses that want to advertise their products or services on Facebook and Instagram. On the call, Li said the combined revenue run rate of video-generation tools hit $10 billion in the fourth quarter. In short, CNBC reported, Meta's stock price surged over 10% this week "after showing signs that AI investments are boosting the bottom line." Benjamin Black, an internet analyst at Deutsche Bank, explained the connection to the Wall Street Journal. "The more compute the ad platform gets, the far better it performs, and that's a real structural advantage that Meta has. If you can see that yesterday's spend is driving this month's growth, then as a good business person, you're going to continue to feed the beast." CNBC says now Meta "plans to spend between $115 billion and $135 billion on its AI build-out this year. That's nearly double what it spent in 2025."

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Linuxiac Weekly Wrap-Up: Week 5, 2026 (Jan 26 – Feb 1)  Linuxiac

Linux 6.19-rc8 Released Ahead Of Linux 6.19 Stable Next Week  Phoronix

October saw Bitcoin reach $123,742. But less than four months later, "The world's largest cryptocurrency slipped below $76,000..." Bloomberg reports, "dropping about 40% from its 2025 peak..." "What began as a sharp crash in October has morphed into something more corrosive: a selloff shaped not by panic, but by absence of buyers, momentum and belief." Unlike the October drawdown, there's been no obvious spark, cascading liquidations or systemic shock — just fading demand, thinning liquidity, and a token that's untethered to broader markets. Bitcoin has failed to respond to geopolitical stress, dollar weakness, or risk rallies. Even during gold and silver's violent swings in recent weeks, crypto saw no rotation. Bitcoin fell nearly 11% in January, marking its fourth straight monthly decline — the longest losing streak since 2018, during the crash that followed the 2017 boom in initial coin offerings... Even more striking than the drop itself is the relative lack of optimism around it on social media. In a space known for relentless bravado and "number go up" memes, Bitcoin's slide has been met with little cheerleading or dip-buying fanfare... [Despite legislative wins and some institutional investments] Many investors say that optimism was front-run. Prices rallied early — and then stalled. Meanwhile, spot ETFs continue to bleed, a sign of weakening conviction among mainstream buyers — many of whom are now underwater after buying at higher prices. On Thursday, Bitcoin closed at 88,228. By Sunday it had plunged another 13%, to 76,790...

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