Category Archives: Linux

Linux Just Changed Forever, New Feature That Could Replace Windows & macOS in 2026

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Linux is evolving faster than ever, and this new breakthrough feature could completely change the future of operating systems. From immutable Linux systems and universal apps to better gaming support, stronger security, and improved performance, Linux is becoming a serious competitor to Windows and macOS. In this video, we explore how modern Linux distributions are transforming the computing world and why millions of users may switch to Linux in the coming years.

Open-Source Nouveau Performance With Linux 7.0 + NVK Mesa 26.1-dev vs. NVIDIA Linux Driver

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As a few months have passed since our prior round of testing the fully open-source NVIDIA Linux driver stack with the Nouveau kernel driver and Mesa NVK Vulkan driver plus Zink, here is a fresh round of benchmarks using Linux 7.0 and Mesa 26.1-dev compared to the open-source stack shipped by Ubuntu 25.10 (Linux 6.17 + Mesa 25.2) for showing how far the open-source NVIDIA driver has progressed the past few months. Plus testing against the NVIDIA official Linux graphics driver for putting that Nouveau/NVK performance into perspective.

Bringing AI education to 1.25 million students across Latin America

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We’re excited to share that we are expanding our Experience AI programme across Latin America with the aim of training 24,000 educators and reaching 1.25 million students by 2028, thanks to generous funding of $4.6 million from Google.org.

Working with education partners across Argentina, Brazil, Chile, Colombia, Dominican Republic, El Salvador, Mexico, Peru, and Uruguay, we will help young people develop a foundational understanding of AI technologies, their social and ethical implications, and the role that AI can play in their lives.

AI literacy across the globe

AI systems are part of everyday life in how we find information, work, and solve problems. We think that young people need more than access to AI tools: they need the knowledge, skills, and confidence to understand and create their own AI tools.

Experience AI, developed in partnership with Google DeepMind, is a free educational programme that helps teachers and students learn about artificial intelligence (AI). It introduces young people to how AI systems work and how they are used in everyday contexts through lessons, classroom resources, and hands-on activities. The resources give young people opportunities to think critically about the role of AI in society.

The winners of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize.
The winners of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize. © Government of the Kingdom of Bahrain

Through a global network of Experience AI partners, we have so far reached an estimated 2.9m young people and trained 30,000 educators. The programme’s resources are used in more than 180 countries and are available in 19 languages. In recognition of its impact, Experience AI was named a laureate of the 2025 UNESCO King Hamad Bin Isa Al-Khalifa Prize for the Use of ICT in Education.

Impact through partnerships

In Latin America, as in other parts of the Experience AI network, our focus will be on sustainable, locally led delivery through partner organisations. Using our established ‘train-the-trainer’ model, we will equip 24,000 educators with the skills and knowledge to use the Experience AI resources to confidently deliver AI literacy lessons. 

Educators at a workshop

Our aim is to create a lasting impact for teachers and classrooms across the region and ensure that high-quality AI education is accessible to young people in a wide range of settings.

Supporting critical thinking

Experience AI is designed not only to build technical understanding, but also to help young people think critically about AI and its impacts.

Three teenage girls at a laptop.

Through the programme, students across Latin America will develop a foundational understanding of how AI works, while exploring key topics including how data is used in AI systems, how to identify AI-generated misinformation, and how to use generative AI tools responsibly. This will help them to understand the opportunities and challenges of AI, and to make informed decisions about how they use these technologies.

Looking ahead

As AI systems are being built into many aspects of today’s world, it’s essential that young people have the opportunity to understand, question, and build with these technologies.

With support from Google.org, we will expand access to high-quality AI education across Latin America through Experience AI, helping over a million young people develop the skills, knowledge, and confidence to navigate and shape a world where AI technologies are widely used.

You can find out more about Experience AI at experience-ai.org.

The post Bringing AI education to 1.25 million students across Latin America appeared first on Raspberry Pi Foundation.

The forge is our new home (Fedora Community Blog)

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Tomáš Hrčka has announced
that the Forgejo-based Fedora Forge is now a
fully operational collaborative-development platform; it is ready for
use by the larger Fedora community, which means the homegrown Pagure platform’s days are numbered:

While pagure.io has been a vital part of our community for many
years, the time has come to retire our homegrown forge and transition
to this powerful new tool.

The final cutover is planned for Flock to Fedora 2026. We strongly
encourage teams to migrate their projects well before the conference
to ensure a smooth transition. The pagure.io migration is only the
first step in a broader infrastructure modernization effort. By the
2027 Fedora 46 release, we plan to retire all remaining Pagure
instances across the project, including the package source
repositories on src.fedoraproject.org. Getting familiar with Fedora
Forge now will help ensure your team is ready as the rest of the
Fedora ecosystem transitions.

There is a migration
guide for Fedora community members that own projects hosted on
Pagure and need to move to the new forge.

[$] Vibe-coded ext4 for OpenBSD

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A number of projects have been struggling with the question of which
submissions created by large language models (LLMs), if any, should be
accepted into their code base. This discussion has been further muddied by
efforts to use LLM-driven reimplemention as a way to remove copyleft
restrictions from a body of existing code, as recently happened with the Python chardet module. In
this context, an attempt to introduce an LLM-generated implementation of
the Linux ext4 filesystem into OpenBSD was always going to create some
fireworks, but that project has its own, clearly defined reasons for
looking askance at such submissions.

NXP Neutron NPU Kernel Driver Blocked For Now By A Closed-Source User-Space Blob

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Last month NXP posted open-source Linux kernel driver patches for their Neutron NPU accelerator. The NXP Neutron NPU aims to help with edge AI applications and this neural processing unit is found in their different SoCs. Unfortunately, their GitHub repository for the user-space software ends up containing a binary-only blob that will end up delaying plans on getting this driver into the mainline Linux kernel…