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Inside this week's LWN.net Weekly Edition:

• Front: Fedora AI; Forgejo "carrot" disclosure; memory-management maintainership; huge THPs; mshare; 64KB base pages; DAMON; direct map.
• Briefs: Dirty Frag; Fragnesia; Mythos and curl; killswitch; Debian reproducible builds; KDE investment; Quotes ...
• Announcements: Newsletters, conferences, security updates, patches, and more.

PipeWire 1.6.5 audio/video server for Linux is now available for download with extra security checks and hardening fixes, removal of the pipe filter in filter-graph, and various bug fixes.

Timur Kristóf of Valve's Linux open-source graphics driver team isn't done driving new improvements to aging AMD GCN 1.0/1.1 era graphics cards on Linux. Beyond enhancing display support for older APUs, transitioning GCN 1.0/1 GPUs from the legacy Radeon driver to modern AMDGPU driver, and a host of other fixes and optimizations for these old GPUs going back to the Radeon HD 7000 series, he has another notable addition that was announced today. These original GCN graphics cards with pending patches to the AMDGPU kernel driver and Mesa user-space can now allow for DRM format modifiers...

The PanVK Vulkan driver and Panfrost Gallium3D driver for Arm Mali graphics hardware is now supporting the latest "v14" hardware GPU hardware with the Arm Mali G1-Pro now being advertised as supported...

BrianFagioli writes: SOLAI has launched the Solode Neo, a $399 Linux-based mini PC designed for always-on AI agents, browser automation, and persistent developer workflows. The compact system ships with an Intel N150 processor, 12GB LPDDR5 memory, 128GB SSD storage, Gigabit Ethernet, WiFi, Bluetooth, and a Linux-based operating system called Solode AI OS. The company says the device supports frameworks and tools including Claude Code, OpenAI Codex, Gemini CLI, and Hermes, while emphasizing local control, automation, and privacy-focused workflows running directly from a home network. While SOLAI markets the Solode Neo as an "AI computer," the hardware itself appears aimed more at lightweight automation and cloud-assisted agent tasks than heavy local inference. The low-power Intel N150 should be sufficient for browser automation, scheduling, monitoring, containers, and smaller AI workloads, but the system is unlikely to compete with higher-end local AI hardware designed for running larger models offline. Even so, the idea of a dedicated low-power Linux appliance for persistent AI and automation tasks may appeal to homelab users and self-hosting enthusiasts looking for a simpler alternative to building their own always-on workflow box from scratch.

Read more of this story at Slashdot.

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