GPL(GENERAL PUBLIC LICENSE) FREEDOM 0:
The freedom to run the program as you wish, for any purpose.
FREEDOM 1:
The freedom to study how the program works, and change it so it does your computing as you wish.
FREEDOM 2:
The freedom to redistribute copies so you can help others.
FREEDOM 3:
The freedom to distribute copies of your modified versions to others.

Elelem is a simple LLM client that connects seamlessly with OpenAI API compatible services.

The post Elelem – versatile LLM client appeared first on LinuxLinks.

Read more of this story at Slashdot.

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Read the full article on GamingOnLinux.

Firefox 141 open-source web browser is now available for public beta testing with various new features and improvements. Here’s what to expect!

The post Firefox 141 Promises to Use Less Memory on Linux Systems, Beta Out Now appeared first on 9to5Linux - do not reproduce this article without permission. This RSS feed is intended for readers, not scrapers.

In March, ALESCo approved a proposal to build EPEL packages from Fedora’s source RPMs (SRPMs) to maintain long-term feature parity for our x86_64_v2 support initiative. Last month, these packages became available for AlmaLinux Kitten 10, and today we are happy to announce that x86_64_v2 EPEL support is now available for AlmaLinux 10 Stable as well.

The EPEL package builds for AlmaLinux OS 10 stable are now complete and ready for use!

How It Works

We monitor the EPEL repository for the latest stable packages, grab their SRPMs, and rebuild them using the AlmaLinux Build System. These rebuilt packages are signed with a dedicated GPG key and then released to a dedicated repository.

This article will describe the content and structure of the sosreport output. The aim is to improve its usefullness through a better understanding of its contents.

What is sosreport?

sosreport is a powerful command-line utility available on Fedora, Red Hat Enterprise Linux (RHEL), CentOS, and other RHEL-based systems to collect a comprehensive snapshot of the system’s configuration, logs, services, and state. The primary use is for diagnosing issues, especially during support cases with Red Hat or other vendors.

When executed, sosreport runs a series of modular plugins that collect relevant data from various subsystems like networking, storage, SELinux, Docker, and more. The resulting report is packaged into a compressed tarball, which can be securely shared with support teams to expedite troubleshooting.

In essence, sosreport acts as a black box recorder for Linux — capturing everything from system logs and kernel messages to active configurations and command outputs — helping support engineers trace problems without needing direct access to the system.

How to Generate a sosreport

To use sosreport on Fedora, RHEL, or CentOS, run the following command as root or with sudo:

sudo sosreport

This command collects system configuration, logs, and command outputs using various plugins. After a few minutes, it generates a compressed tarball in /var/tmp/ (or a similar location), typically named like:

sosreport-hostname-20250623-123456.tar.xz

You may be prompted to enter a case ID or other metadata, depending on your system configuration or support workflow.

The sosreport generated tarball contains a detailed snapshot of the system’s health and configuration. It has a well-organized structure which reflects the data collected from the myriad Linux subsystems.

Exploring sosreport output is challenging due to the sheer volume of logs, configuration files, and system command outputs it contains. However, understanding its layout is key for support engineers and sysadmins to quickly locate and interpret crucial diagnostic information.

sosreport directory layout

When the tarball is unpacked, the directory structure typically resembles this:

.
├── ./boot
├── ./etc
├── ./lib -> usr/lib
├── ./opt
├── ./proc
├── ./run
├── ./sos_commands
├── ./sos_logs
├── ./sos_reports
├── ./sos_strings
├── ./sys
├── ./usr
├── ./var
└── ./EXTRAS

CORE Breakdown:

• Most directories mimic a standard Linux root filesystem and primarily contain configuration files.
• The directories that don’t appear in a regular root filesystem include:
  • sos_command
  • sos_logs
  • sos_reports
  • sos_strings
  • EXTRAS

Key directories in detail

sos_commands/

This contains output from commands executed by each plugin. Its structure is plugin-specific:

./sos_commands/
├── apparmor/
├── docker/
├── memory/
├── networkmanager/
├── process/
│ ├── lsof_M_-n_-l_-c
│ ├── pidstat_-p_ALL_-rudvwsRU_--human_-h
│ ├── ps_auxwwwm
│ └── pstree_-lp

Each file name matches the Linux command used, with all options. The contents are the actual command output, making the plugin behavior transparent.

sos_reports/

This directory contains multiple formats that index and summarize the entire sosreport:

• sos.json: A machine-readable index of all collected files and commands.
• manifest.json: Describes how sosreport executed – timestamps, plugins used, obfuscation done, errors, etc.
• HTML output for easy browsing via browser.

sos_logs/

Contains logs from the execution of sosreport itself.

• sos.log: Primary log file that highlights any errors or issues during data collection.

sos_strings/

• Contains journal logs for up to 30 days, extracted using journalctl
• Can be quite large, especially on heavily used systems
• Structured into subdirectories like logs/ or networkmanager/

EXTRAS/

This is not a default part of an sosreport. It is created by the sos_extras plugin and used to collect any custom user-defined files.

Why this layout matters

• Speed: Logical grouping of directories help engineers drill down without manually parsing GigaBytes of log files.
• Traceability: Knowing where each file came from and what command produced it enhances reproducibility.
• Automation: Tools like soscleaner or sos-analyzer rely on this structure for automated diagnostics.

Final thoughts

While sosreport is a powerful diagnostic tool, its effectiveness hinges on understanding its structure. With familiarity, engineers can isolate root causes of failures, uncover misconfigurations, and collaborate more efficiently with support teams. If you haven’t yet opened one up manually, try it — there’s a lot to learn from the insides!

This is my first Fedora Magazine article, dedicated to my wife Rupali Suraj Patil — my constant source of inspiration.

Linux/Unix programming has entered a new era where ai machine learning technologies revolutionize development workflows, dramatically reducing time spent on repetitive tasks while enhancing overall productivity. Programmers utilizing these powerful tools can automate complex processes, analyze patterns in code, and optimize resource utilization within the Linux ecosystem.

Understanding AI Machine Learning in Linux/Unix Environments

The Linux operating system has become the preferred platform for AI development due to its open-source nature, stability, and exceptional support for machine learning frameworks. Linux distributions offer superior resource management capabilities, making them ideal for handling the computational demands of modern AI workloads. Many organizations leverage Linux-based systems to build, train, and deploy sophisticated AI models that drive business innovation.

Key Machine Learning Libraries for Linux/Unix Programmers

Linux programmers have access to a rich ecosystem of machine learning libraries that facilitate advanced AI development. TensorFlow stands out for neural network implementation with robust GPU acceleration support. PyTorch has gained popularity among researchers for its dynamic computation graph that simplifies model adjustments during training. For traditional machine learning algorithms, Scikit-Learn provides an accessible entry point, while Keras offers a higher-level API that streamlines deep learning development. Computer vision applications benefit from OpenCV’s extensive functionality, enabling ai machine learning systems to process and analyze visual data efficiently. Additional frameworks like Apache MXNet, Caffe, and Hugging Face Transformers expand the toolbox for specialized applications across data science, natural language processing, and computer vision domains.

Setting up Your Linux System for AI Development

Creating an optimal environment for AI development begins with selecting the right Linux distribution. Ubuntu and Debian remain popular choices due to their comprehensive package repositories and extensive community support. Next, install essential components including Python, Jupyter Notebook, and Anaconda for data science workflows. GPU acceleration requires proper configuration of NVIDIA CUDA or AMD ROCm drivers to maximize performance. Containerization through Docker offers consistent development environments across machines while facilitating deployment. OVHcloud Public Cloud services provide scalable computing resources specifically designed for AI workloads, with options for GPU-accelerated instances that dramatically reduce training times. Using virtualization technologies allows developers to isolate dependencies and create reproducible setups across teams, making collaborative ai machine learning projects more manageable.

Practical Applications for Automating Programming Tasks

Linux systems have become the backbone of AI and machine learning development, offering programmers powerful tools to streamline their workflows. By leveraging AI-driven automation within Linux/Unix environments, developers can significantly reduce repetitive tasks and focus on more creative aspects of programming. The open-source nature of Linux makes it particularly well-suited for integrating machine learning capabilities into the development process.

Code Completion and Bug Prediction Tools

AI-powered code completion tools are revolutionizing Linux/Unix programming by analyzing vast code repositories to predict and suggest the next lines of code as developers type. These systems learn from millions of open-source projects, understanding patterns and best practices in languages commonly used in Linux environments like Python, C++, and Bash scripting. GPU acceleration through NVIDIA CUDA support makes these predictions nearly instantaneous, with TensorFlow and PyTorch frameworks powering the underlying deep learning models.

Bug prediction capabilities take this a step further by scanning code for potential issues before they manifest. Using machine learning algorithms from frameworks like Scikit-Learn, these tools analyze code structure and identify patterns associated with known bugs. For instance, tools like source{d} Lookout can be installed on repositories to analyze pull requests and comment directly on GitHub, helping developers ship secure code faster. This proactive approach to quality assurance is especially valuable in Linux environments where system stability is paramount for mission-critical applications.

Automating Testing and Deployment Processes

Machine learning excels at automating complex testing scenarios in Linux/Unix systems. AI models can generate test cases by learning from existing codebases, creating more comprehensive test coverage than manual approaches. This is particularly valuable for identifying edge cases that human testers might miss. OVHcloud’s Public Cloud offers robust infrastructure for running these resource-intensive testing frameworks, providing the necessary computing power without significant hardware investments.

Deployment automation benefits tremendously from AI integration through containerization technologies like Docker. Machine learning models can analyze deployment patterns and system performance metrics to optimize resource allocation dynamically. These systems learn from past deployments to predict resource needs, minimizing downtime and maximizing efficiency. The combination of Linux’s robust resource management capabilities with AI-driven automation creates a powerful environment for continuous integration/continuous deployment (CI/CD) pipelines. Organizations using virtualization and containers can scale their machine learning workflows seamlessly while maintaining security and stability that Linux environments are known for.

The post Linux/Unix Programming: How AI Machine Learning Can Save You Time and Increase Efficiency appeared first on Unixmen.

In an interesting turn of events, Linus Torvalds and Bill Gates meet each other for the first time at a dinner invite. What would have they talked about? Any guesses?

This photo also made me realize how quickly Torvalds has aged in the past few years 😔

💬 Let's see what else you get in this edition

• Kubuntu also dropping Xorg support.
• Hyprland working on a paid plan and not everyone being happy about it.
• KDE's new setup tool.
• Void Editor with open source AI to tackle Cursor supermacy.
• And other Linux news, tips, and, of course, memes!

📰 Linux and Open Source News

• Kubuntu is also set to drop Xorg in favor of Wayland. Fedora, Ubuntu and now Kubuntu. I can see more distros following this trend in the near future.
• KDE plans a new setup tool to welcome users after a fresh installation.
• Hyprland is planning to launch a paid premium tier and that decision has led to heated discussion in the communities.
• Murena Find launches as a Qwant-based search engine.
• Zed Editor's new debugger has arrived with multi-language support.
• Kingfisher is MongoDB's new open source real-time secrets scanner.

Fedora plans to ditch 32-bit support completely. This will impact Steam and Wine.

Fedora Looks to Completely Ditch 32-bit Support

Fedora plans to drop 32-bit packages completely.

It's FOSS NewsSourav Rudra

🧠 What We’re Thinking About

Accessibility on Linux is being taken for granted.

It’s True, “We” Don’t Care About Accessibility on Linux

What do concern trolls and privileged people without visible or invisible disabilities who share or make content about accessibility on Linux being trash without contributing anything to projects have in common? They don’t actually really care about the group they’re defending; they just exploit these victims’ unfortunate situation to fuel hate against groups and projects actually trying to make the world a better place. I never thought I’d be this upset to a point I’d be writing an article about something this sensitive with a clickbait-y title. It’s simultaneously demotivating, unproductive, and infuriating. I’m here writing this post fully knowing that I could have been working on accessibility in GNOME, but really, I’m so tired of having my mood ruined because of privileged people spending at most 5 minutes to write erroneous posts and then pretending to be oblivious when confronted while it takes us 5 months of unpaid work to get a quarter of recognition, let alone acknowledgment, without accounting for the time “wasted” addressing these accusations. This is far from the first time, and it will certainly not be the last.

TheEvilSkeletonTheEvilSkeleton

🧮 Linux Tips, Tutorials and More

• What’s a shim file, and why does your Linux distro need it when dealing with UEFI secure boot?
• You can easily beautify Xfce desktop with these themes I suggest.
• Did you know you could tweak the file manager in GNOME desktop and extend its features?
• Quick tip on using dark mode with VLC.

Fast, pretty, and actually helpful. Btop++ nails system monitoring.

Btop++: Linux System Monitoring Tool That is Definitely Better than Top

A sleek terminal-based system monitor that gives you detailed insights to your resources and processes.

It's FOSSAbhishek Prakash

👷 Homelab and Hardware Corner

Abhishek boosted his Raspberry Pi's performance with this simple tweak. However, this is not a trick you should use often.

This Simple Change Improved the Performance of My Homelab Running on Raspberry Pi

My struggling Raspberry Pi got a performance boost by a small change in the memory configuration.

It's FOSSAbhishek Kumar

Spotted this 'glow bot' smart AI assistant on Kickstarter. A cool desk companion with a futuristic vibe, only if you have money to spare. It is not open source. I hope someone starts a similar open source project soon, as this is an interesting concept to have customized pixel animation that reacts according to interaction.

✨ Project Highlight

Don't like Cursor's proprietary nature? You can try Void instead.

Void Editor Is Shaping Up Well: Is it Ready to Take on Cursor and Copilot?

Looking for a privacy-first AI code editor? Void’s got you covered.

It's FOSS NewsSourav Rudra

📽️ Videos I am Creating for You

A rare Linux game review from us in video format. There is a text version, too. If you like it, we will cover more indie games that can be played natively on Linux.

🧩 Quiz Time

Can you guess all the Shell Built-in commands?

Guess the Shell Built-ins: Crossword

Time to exercise those grey cells and correctly guess these popular shell built-ins in this fun crossword for Linux users.

It's FOSSAbhishek Prakash

💡 Quick Handy Tip

In the Konsole, you can view file thumbnails. To accomplish this, first enable "Underline files" in a profile you use in Konsole via Menu → Settings → Configure Konsole → Profiles → Your Profile → Edit → Mouse → Miscellaneous → Underline files.

Now, perform Menu → Settings → Configure Konsole → Thumbnails → Enable thumbnails generation. Also, set an activation key to hold while hovering your cursor, I used the Shift key to demonstrate below.

That's it. Now, when you press Shift and hover your mouse over a file, a thumbnail will appear!

🤣 Meme of the Week

I feel like a mentor 👨‍🏫

🗓️ Tech Trivia

Microsoft was incorporated on June 25, 1981, in the state of Washington, following its founding by Bill Gates and Paul Allen in 1975.

One more fun fact, Linus Torvalds and Bill Gates recently met at a dinner hosted by Microsoft Azure's CTO, Mark Russinovich.

🧑‍🤝‍🧑 FOSSverse Corner

Hotmail is a name I haven't heard in quite some time now. One of our FOSSers is not happy with it.

Hotmail, the final straw. An icy rant from the polar regions

I’m not sure if this rant even belongs to these here pages, but I leave it to a Moderator to correct me and I promise I will stay in line later. Then again - i am seriously p…d off! I’ve had a @hotmail account since they first went online — long before many of you here, brothers and sisters on these pages, were even born. Back then, I was a Windows user, and Hotmail was far better than what my internet provider could offer. We had dial-up modems using landlines, and you still had to physica…

It's FOSS Communityaudun_s

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Enjoy FOSS 😄

Linux users have always preferred AMD over Intel – at least, this is what I’ve seen and read since the beginning of my Linux journey in 2014. TUXEDO Computers confirms once again that it is listening to feedback, as Linux users continue arguing against Intel and demanding more AMD hardware. Therefore, the German-based hardware manufacturer has unveiled the TUXEDO InfinityBook Pro 14 Gen10 Linux Laptop with more red power! So, what does this new generation of elegant Linux laptops offer?

The post All AMD, No Intel: TUXEDO InfinityBook Pro 14 Gen10 Unveiled appeared first on Linux Today.

From cupcake recipes replacing bomb instructions to AC/DC blasting through nuclear facilities, these amusing cyber incidents prove that sometimes the best security breaches make us laugh - funny hacking stories.

The post Funny Hacking Stories That Will Make You Question Everything You Know About Hackers appeared first on blackMORE Ops.