JRepin

In the Qt 6.7 release, we enabled support for C++20 comparison and also back-ported some of its features to C++17. This blog post will give you an overview of the comparison enhancements we are taking advantage of and offer guidance on implementing them in your custom classes.

Welcome to the new home of "This Week in Plasma"! No longer is it a private personal thing on my (Nate Graham's) blog, but now it's a weekly series hosted here on KDE's infrastructure, open to anyone's participation and contribution! I'll remain the editor-in-chief for now, and welcome contributions via direct push to the relevant merge request on invent.kde.org. And after a post is published, if you find a typo or broken link, feel free to just fix it.

Anyway, this week we added a useful service to detect out-of-memory (OOM) conditions, did some UI polishing, and also a lot of bug-fixing! Check it out.

cross-posted from: https://lemmy.ml/post/21972449

Over the last few years, there has been a surge in interest and adoption of generative artificial intelligence systems, and a corresponding interest in clarifying and delineating what open source should mean for AI and how to ensure AI serves the public interest. The DPGA Secretariat has been an active part of these conversations. Recognizing the transformative potential of AI, we have explored ways to democratise its benefits, advocating for public spending on AI that prioritises public interest and equitable access. Additionally, we have been examining how the DPG Standard may need to adapt in order to better determine what constitutes AI systems as a type of digital public good, via a community of practice (CoP), co-hosted by UNICEF.

This work has been unfolding against a backdrop of other initiatives and organisations similarly addressing complex questions surrounding the future development and use of artificial intelligence in the public interest domain. One such particularly important initiative has been the work to define open source AI stewarded by the Open Source Initiative (OSI) with the involvement of a large number of stakeholders and experts. After a two year long process the Open Source AI Definition (OSAID) Version 1.0 was released on October 28.

This week, the Open Source Initiative (OSI) made their new Open Source Artificial Intelligence Definition (OSAID) official with its 1.0 release. With this announcement, we have reached the moment that software freedom advocates have feared for decades: the definition of “open source” — with which OSI was entrusted — now differs in significant ways from the views of most software freedom advocates.

Thanks to Valve's Linux graphics team, VK_EXT_device_generated_commands is now supported by the Radeon "RADV" Vulkan driver with the upcoming Mesa 24.3 release.

Prominent RADV developer Samuel Pitoiset at Valve has landed support for VK_EXT_device_generated_commands, the multi-vendor device generated commands "DGC" implementation. Last month with Vulkan 1.3.296 the VK_EXT_device_generated_commands extension was introduced to succeed NVIDIA's vendor-prefixed DGC extension. The device generated commands extension allows for the GPU device to generate a number of commands for command buffers. VK_EXT_device_generated_commands is a very big and important addition to the Vulkan API: Valve's Mike Blumenkrantz has argued that DGC is the biggest addition to Vulkan since ray-tracing.

AMD has been teasing the Ryzen 9000X3D Zen 5 CPUs with 3D V-Cache and today they formally announced the specs of the Ryzen 7 9800X3D processor that will begin shipping 7 November.

The AMD Ryzen 7 9800X3D is AMD's 8-core / 16-thread processor with 64MB of 3D V-Cache. This uses 2nd Gen AMD 3D V-Cache where the 64MB of cache is now underneath the processor cores so that the CCD is positioned closer to the heatsink/cooler. The intent is that the new 3D V-Cache processors will run cooler than prior generation 3D V-Cache processors.

The AMD Ryzen 7 9800X3D will boost up to 5.2GHz and feature a 4.7GHz while total it provides 104MB of cache. This 120 Watt processor will have a suggested retail price of $479 USD. Again, expect retail availability on 7 November.

CXX-Qt is a set of Rust crates for creating bidirectional Rust ⇄ C++ bindings with Qt. It supports integrating Rust into C++ applications using CMake or building Rust applications with Cargo. CXX-Qt provides tools for implementing QObject subclasses in Rust that can be used from C++, QML, and JavaScript.

For 0.7, we have stabilized the cxx-qt bridge macro API and there have been many internal refactors to ensure that we have a consistent baseline to support going forward. We encourage developers to reach out if they find any unclear areas or missing features, to help us ensure a roadmap for them, as this may be the final time we can adapt the API. In the next releases, we’re looking towards stabilizing the cxx-qt-build and getting the cxx-qt-lib APIs ready for 1.0.

Over the last few years, there has been a surge in interest and adoption of generative artificial intelligence systems, and a corresponding interest in clarifying and delineating what open source should mean for AI and how to ensure AI serves the public interest. The DPGA Secretariat has been an active part of these conversations. Recognizing the transformative potential of AI, we have explored ways to democratise its benefits, advocating for public spending on AI that prioritises public interest and equitable access. Additionally, we have been examining how the DPG Standard may need to adapt in order to better determine what constitutes AI systems as a type of digital public good, via a community of practice (CoP), co-hosted by UNICEF.

This work has been unfolding against a backdrop of other initiatives and organisations similarly addressing complex questions surrounding the future development and use of artificial intelligence in the public interest domain. One such particularly important initiative has been the work to define open source AI stewarded by the Open Source Initiative (OSI) with the involvement of a large number of stakeholders and experts. After a two year long process the Open Source AI Definition (OSAID) Version 1.0 was released on October 28.

cross-posted from: https://lemmy.ml/post/21951809

Fedora Linux provides a wide variety of users with leading edge open source technology in a community developed and maintained operating system. The Fedora KDE Spin combines the reliable and trusted Fedora Linux base with the KDE Plasma desktop environment and a selection of KDE applications – simple by default, yet powerful when needed.

Back in April 2024, Fedora Linux 40 included the KDE “MegaRelease 6” – the Plasma desktop environment, Frameworks application libraries (with the underlying Qt platform), and Gear application suite were all upgraded to new versions in one fell swoop to deliver improved performance and reliability. Since then, continuous upstream updates by the KDE teams to fix bugs and deploy new features were quickly deployed to Fedora 40 users, including breakthroughs such as Explicit Sync in Wayland (which addressed the most prevalent graphical glitches on Nvidia devices)!

Now, as part of the Fedora Linux 41 release, the KDE Spin again includes the very latest with the recently released KDE Plasma 6.2, up-to-date KDE applications and core system packages, and new ways of using Plasma on different devices.

cross-posted from: https://lemmy.ml/post/21948355

KDE are kicking off their 2024 end-of-year fundraiser just in time for Halloween!

Even if the spine-tingling horrors of the long dark night of Walpurgis are mostly imaginary, the sinister threats of predatory proprietary software providers remain all too real.

Fear not! We, the KDE community, will help you, your friends, family, company, and community banish all the creepy and insidious proprietary software that haunts your computers, phones, and household appliances.

But we can't do it alone! We need you to help us fight the good fight against the tech-ghouls from beyond. Use the form to donate any amount to our fundraiser (or become a regular donor to our community) and help us keep the dark forces of proprietary software at bay.

RISC-V firm Milk-V demonstrated that it can get AMD’s RX 7900 XTX graphics card to work on one of its RISC-V boards. The PC shown in the video uses Milk-V’s Megrez board, which is equipped with Chinese RISC-V chip maker Eswin’s EIC7700X, a system-on-chip (SoC) that hosts four P550 CPU cores designed by SiFive. The P550 core has been around since 2021, so it’s nothing cutting-edge at the tail end of 2024. The SoC sport H.265 encoding and decoding at 8K, and has a 20 TOPS NPU, which are both reasonably robust for PCs.

It looks like the upcoming Linux 6.13 cycle will be adding RISC-V support for user-space pointer masking and tagged address ABI. RISC-V pointer masking can be used for implementing memory tagging akin to the Arm Memory Tagging Extension (MTE) by way of ignoring various bits of the effective address on RISC-V platforms. Memory tagging can help with the memory safety state of user-space applications.