Linux NewsInitial AMD Zen 6 "znver6" Support Merged For LLVM/Clang
Merged overnight to the LLVM/Clang compiler's codebase was initial targeting for next-generation AMD Zen 6 processors using the znver6 target...
KDE Linux To Provide Better Hardware Support & Better Performance
Following the September release of the KDE LInux reference distribution for the KDE desktop in alpha form, KDE Linux developers have been working toward the beta release with more improvements to this open-source desktop distro...
KMS Recovery Mechanism Being Worked On For Linux Display Drivers
A Linux kernel engineer at Microsoft is working on a useful Linux desktop improvement. Hamza Mahfooz who previously worked for AMD on their AMDGPU Linux display driver code has been spearheading work on a KMS recovery mechanism to help kernel mode-setting display drivers recover in case of problems...
GNOME's Glycin 2.1 Beta Enables JPEG 2000 Support By Default
GNOME's Rust-based and sandboxed Glycin image loading library focused on safety now supports JPEG 2000 images by default...
Linux 6.19 Sees Last Minute Scheduler Regression Fixes
Ahead of the planned Linux 6.19 stable kernel release tomorrow, there have been some last-minute fixes submitted for the scheduler code, including for performance regressions...
An in-kernel machine-learning library
For those wanting more machine learning in the kernel, Viacheslav Dubeyko has posted a new in-kernel library for that purpose. What is the goal of using ML models in Linux kernel? The main goal is to employ ML models for elaboration of a logic of particular Linux kernel subsystem based on processing data or/and an efficient subsystem configuration based on internal state of subsystem. As a result, it needs: (1) collect data for training, (2) execute ML model training phase, (3) test trained ML model, (4) use ML model for executing the inference phase. The ML model inference can be used for recommendation of Linux kernel subsystem configuration or/and for injecting a synthesized subsystem logic into kernel space (for example, eBPF logic). It is rigorously undocumented and there are no real users, so it's not entirely clear what the purpose is, but there are undoubtedly interesting things that could be done with it.
Microsoft Introduces LiteBox, a New Security-Focused Library OS
LiteBox is a new open-source sandboxing library OS from Microsoft, designed to run code with a minimal, security-focused OS surface.
Mesa 25.3.5 Brings Vulkan Driver Fixes & Other Minor Changes -- Even For Old The R600g
While Mesa 26.0 stable will be out soon, the belated Mesa 25.3.5 point release is now available for serving as the current latest stable point release...
KDE Plasma 6.6 Fixing Significant Issues With Fingerprint Authentication
There is less than two weeks to go until the official KDE Plasma 6.6 desktop release. Plasma 6.6 is still seeing bug fixes in this final stretch of development while KDE developers are also busy already on Plasma 6.7 feature work...
FOSS Force’s Top Ten for January
Here’s what people were reading the most on FOSS Force during the month of January, 2026. The post FOSS Force’s Top Ten for January appeared first on FOSS Force.
Ubuntu 26.04 is coming to SpacemiT’s K3 (RISC-V RVA23 SoC)
SpacemiT and Canonical bring Ubuntu 26.04 LTS to the K3 RISC-V SoC, one of the first RVA23-compliant on sale. Ubuntu 24.04 support expands to the K1.
Six stable kernels for Friday
Greg Kroah-Hartman has released the 6.18.9, 6.12.69, 6.6.123, 6.1.162, 5.15.199, and 5.10.249 stable kernels. As always, each contains important fixes throughout the tree; users are advised to upgrade.
Is the Raspberry Pi Still an Affordable SBC? I Don’t Think So
Raspberry Pi has raised prices on many Pi 4, Pi 5, and Compute Module models as memory costs surge in 2026, undermining its once-low-cost SBC positioning.
Wine 11.2 Released With More Improvements & 32 Bug Fixes
Wine 11.2 is out as the latest bi-weekly development release in the road toward the Wine 12.0 stable release next January...
I’m done pretending open-source software is free
Open source saves money, but it can cost time and energy. After enough broken automations and weird edge cases, I now chase reliability.