Jessica Brown

Nix-OS introduces a unique concept of declarative configuration, enabling precise system reproduction and rollback capabilities. By isolating dependencies akin to container formats, Nix-OS minimizes conflicts and ensures consistent system behavior. This approach is invaluable for cloud providers and desktop users alike. The ability to roll back to previous states effortlessly provides added security and convenience, especially for administrators managing complex environments.

OpenSUSE Leap 16 will adopt an “immutable” Linux architecture, focusing on a write-protected base system for enhanced security and stability. Software delivery via isolated containers, such as Flatpaks, will align the distribution with cloud and automated management trends. While this model enhances security, it may limit flexibility for desktop users who prefer customizable systems. Nevertheless, openSUSE's focus on enterprise and cloud environments ensures it remains a leader in innovation for automated and secure Linux systems.

Debian's regular two-year release cycle ensures a steady stream of updates, with version 13 (“Trixie”) expected in 2025, following the 2023 release of “Bookworm.” Debian 13 will retain support for 32-bit processors but drop very old I386 CPUs in favor of i686 or newer. This shift reflects the aging of these processors, which date back over 25 years. Supporting modern hardware allows Debian to maintain its reputation for stability and reliability. As a foundational distribution, Debian's updates ripple across numerous derivatives, including Antix, MX Linux, and Tails, ensuring widespread impact in the Linux ecosystem.

Ubuntu Support for Ubuntu 20.04 ends in April 2025, unless users opt for the Extended Security Maintenance (ESM) via Ubuntu Pro. This means systems running this version will no longer receive security updates, potentially leaving them vulnerable to threats. Upgrading to Ubuntu 24.04 LTS is recommended for server systems to ensure continued support and improved features, such as better hardware compatibility and performance optimizations.

After 14 October 2025, Microsoft will no longer offer free updates for Windows 10 and technical support will be discontinued (EOL, End of Life). As a simple upgrade to Windows 11 will fail for many laptops and PCs due to the high hardware requirements, a significant wave of users switching to Linux desktops can be expected over the course of the next year. Last year’s Linux growth to a market share of around 4.5 percent is probably already linked to this Windows date. Unicon is launching the eLux operating system for companies. The system is designed to combine security, hardware flexibility, and performance. The download requires registration with an email address.

The Linux operating system has continually evolved from a niche platform for tech enthusiasts into a critical pillar of modern technology. As the backbone of everything from servers and supercomputers to mobile devices and embedded systems, Linux drives innovation across industries. Looking ahead to 2025, several key developments and trends are set to shape its future. Linux in Cloud and Edge Computing As the foundation of cloud infrastructure, Linux distributions such as Ubuntu Server, CentOS Stream, and Debian are integral to cloud-native environments. In 2025, advancements in container orchestration and microservices will further optimize Linux for the cloud. Additionally, edge computing, spurred by IoT and 5G, will rely heavily on lightweight Linux distributions tailored for constrained hardware. These distributions are designed to provide efficient operation in environments with limited resources, ensuring smooth integration of devices and systems at the network's edge. Strengthening Security Frameworks With cyber threats growing in complexity, Linux distributions will focus on enhancing security. Tools like SELinux, AppArmor, and eBPF will see tighter integration. SELinux and AppArmor provide mandatory access control, significantly reducing the risk of unauthorized system access. Meanwhile, eBPF, a technology for running sandboxed programs in the kernel, will enable advanced monitoring and performance optimization. Automated vulnerability detection, rapid patching, and robust supply chain security mechanisms will also become key priorities, ensuring Linux's resilience against evolving attacks. Integrating AI and Machine Learning Linux's role in AI development will expand as industries increasingly adopt machine learning technologies. Distributions optimized for AI workloads, such as Ubuntu with GPU acceleration, will lead the charge. Kernel-level optimizations ensure better performance for data processing tasks, while tools like TensorFlow and PyTorch will be enhanced with more seamless integration into Linux environments. These improvements will make AI and ML deployments faster and more efficient, whether on-premises or in the cloud. Wayland and GUI Enhancements Wayland continues to gain traction as the default display protocol, promising smoother transitions from X11. This shift reduces latency and improves rendering, offering a better user experience for developers and gamers alike. Improvements in gaming and professional application support, coupled with enhancements to desktop environments like GNOME, KDE Plasma, and XFCE, will deliver a refined and user-friendly interface. These developments aim to make Linux an even more viable choice for everyday users. Immutable Distributions and System Stability Immutable Linux distributions such as Fedora Silverblue and openSUSE MicroOS are rising in popularity. By employing read-only root filesystems, these distributions enhance stability and simplify rollback processes. This approach aligns with trends in containerization and declarative system management, enabling users to maintain consistent system states. Immutable systems are particularly beneficial for developers and administrators who prioritize security and system integrity. Advancing Linux Gaming With initiatives like Valve's Proton and increasing native Linux game development, gaming on Linux is set to grow. Compatibility improvements in Proton allow users to play Windows games seamlessly on Linux. Additionally, hardware manufacturers are offering better driver support, making gaming on Linux an increasingly appealing choice for enthusiasts. The Steam Deck's success underscores the potential of Linux in the gaming market, encouraging more developers to consider Linux as a primary platform. Developer-Centric Innovations Long favored by developers, Linux will see continued enhancements in tools, containerization, and virtualization. For instance, Docker and Podman will likely introduce more features tailored to developer needs. CI/CD pipelines will integrate more seamlessly with Linux-based workflows, streamlining software development and deployment. Enhanced support for programming languages and frameworks ensures that developers can work efficiently across diverse projects. Sustainability and Energy Efficiency As environmental concerns drive the tech industry, Linux will lead efforts in green computing. Power-saving optimizations, such as improved CPU scaling and kernel-level energy management, will reduce energy consumption without compromising performance. Community-driven solutions, supported by the open-source nature of Linux, will focus on creating systems that are both powerful and environmentally friendly. Expanding Accessibility and Inclusivity The Linux community is set to make the operating system more accessible to a broader audience. Improvements in assistive technologies, such as screen readers and voice navigation tools, will empower users with disabilities. Simplified interfaces, better multi-language support, and comprehensive documentation will make Linux easier to use for newcomers and non-technical users. Highlights from Key Distributions Debian Debian's regular two-year release cycle ensures a steady stream of updates, with version 13 (“Trixie”) expected in 2025, following the 2023 release of “Bookworm.” Debian 13 will retain support for 32-bit processors but drop very old i386 CPUs in favor of i686 or newer. This shift reflects the aging of these processors, which date back over 25 years. Supporting modern hardware allows Debian to maintain its reputation for stability and reliability. As a foundational distribution, Debian's updates ripple across numerous derivatives, including Antix, MX Linux, and Tails, ensuring widespread impact in the Linux ecosystem. Ubuntu Support for Ubuntu 20.04 ends in April 2025, unless users opt for the Extended Security Maintenance (ESM) via Ubuntu Pro. This means systems running this version will no longer receive security updates, potentially leaving them vulnerable to threats. Upgrading to Ubuntu 24.04 LTS is recommended for server systems to ensure continued support and improved features, such as better hardware compatibility and performance optimizations. openSUSE OpenSUSE Leap 16 will adopt an “immutable” Linux architecture, focusing on a write-protected base system for enhanced security and stability. Software delivery via isolated containers, such as Flatpaks, will align the distribution with cloud and automated management trends. While this model enhances security, it may limit flexibility for desktop users who prefer customizable systems. Nevertheless, openSUSE's focus on enterprise and cloud environments ensures it remains a leader in innovation for automated and secure Linux systems. Nix-OS Nix-OS introduces a unique concept of declarative configuration, enabling precise system reproduction and rollback capabilities. By isolating dependencies akin to container formats, Nix-OS minimizes conflicts and ensures consistent system behavior. This approach is invaluable for cloud providers and desktop users alike. The ability to roll back to previous states effortlessly provides added security and convenience, especially for administrators managing complex environments. What does this mean? In 2025, Linux will continue to grow, adapt, and innovate. From powering cloud infrastructure and advancing AI to providing secure and stable desktop experiences, Linux remains an indispensable part of the tech ecosystem. The year ahead promises exciting developments that will reinforce its position as a leader in the operating system landscape. With a vibrant community and industry backing, Linux will continue shaping the future of technology for years to come.

What comes once in a minute, twice in a moment, but never in a thousand years? Hint: It’s not time-related.

Docker is an incredibly powerful tool for containerization, but beyond the basics, there are advanced techniques and best practices that can enhance your container management and development workflows. This guide highlights some advanced Docker concepts to take your skills to the next level. 1. Multi-Stage Builds Why? Reduce image size and keep production images clean. Multi-stage builds allow you to use intermediate stages to build or compile applications and then copy only the necessary artifacts into the final image. Example: # Stage 1: Build the application FROM node:16 AS build WORKDIR /app COPY package*.json ./ RUN npm install COPY . . RUN npm run build # Stage 2: Serve the application FROM nginx:alpine COPY --from=build /app/build /usr/share/nginx/html EXPOSE 80 CMD ["nginx", "-g", "daemon off;"] This approach ensures that only the built application is included in the final image, making it smaller and more secure. 2. Docker Networking Understand the different network drivers Docker offers: Bridge: Default for standalone containers. Great for local setups. Host: Removes network isolation and uses the host's network stack. Overlay: Used for multi-host networking in Docker Swarm. Macvlan: Assigns a MAC address to containers for network integration. Advanced Networking Command: docker network create \ --driver overlay \ --subnet=192.168.1.0/24 \ my_overlay_network 3. Using .dockerignore Effectively Avoid adding unnecessary files to your build context, which can slow down the build process. Include files like: node_modules .git *.log Tip: Place .dockerignore in the same directory as your Dockerfile. 4. Advanced Logging and Monitoring Integrate Docker with logging tools like ELK (Elasticsearch, Logstash, Kibana) or Prometheus. To configure a custom logging driver: docker run --log-driver=json-file --log-opt max-size=10m --log-opt max-file=3 my-container Available drivers include json-file, syslog, journald, gelf, fluentd, and more. 5. Docker Compose with Advanced Configurations Leverage Docker Compose for complex multi-container setups with advanced options: Example: version: "3.8" services: web: image: nginx:alpine ports: - "8080:80" networks: - frontend deploy: replicas: 3 update_config: parallelism: 2 delay: 10s db: image: postgres:latest environment: POSTGRES_USER: admin POSTGRES_PASSWORD: secret volumes: - db-data:/var/lib/postgresql/data networks: - backend networks: frontend: backend: volumes: db-data: This example demonstrates scaling with replicas and using multiple networks. 6. Security Best Practices Use Minimal Base Images: Prefer images like alpine for reduced attack surfaces. Limit Privileges: Add the --cap-drop flag to drop unnecessary capabilities: docker run --cap-drop=ALL --cap-add=NET_BIND_SERVICE my-secure-app Scan Images: Use tools like Trivy or Docker Scan: docker scan my-image 7. Volume and Data Management Mounting named volumes or bind mounts is critical for persistent data storage. Named Volume Example: docker volume create my_volume docker run -v my_volume:/data my_container Tip: Use docker volume inspect to check volume details: docker volume inspect my_volume 8. Custom Docker Networks for Security Isolate services into different networks to improve security. Example: docker network create --driver bridge secure_network docker run --network=secure_network my_container 9. Debugging Docker Containers Use tools like docker exec and docker logs for troubleshooting: docker exec -it my_container /bin/bash docker logs my_container For real-time stats: docker stats 10. Use Labels for Metadata Add labels to your containers for better organization and automation. Example: docker run --label app=web --label environment=prod my_container Query containers based on labels: docker ps --filter "label=environment=prod" Conclusion These advanced Docker techniques can help streamline your workflows, enhance security, and optimize performance. Whether you're working on production deployments or large-scale development setups, mastering these concepts will take your Docker knowledge to the next level. Let me know if you'd like to dive deeper into any of these topics!

When setting up a new database environment, you often need to create a database, add a user, and grant them the necessary permissions. Here's a quick and efficient way to accomplish all of this from the SQL command line. Steps to Create a Database, User, and Grant Permissions Log in to the SQL Command Line First, log in to your SQL server as a root user or a user with sufficient privileges. For example: mysql -u root -p Enter your password when prompted. Create a New Database Use the CREATE DATABASE statement to create a new database. Replace your_database with your desired database name: CREATE DATABASE your_database; Create a New User Create a user and assign a password using the CREATE USER statement. Replace your_user with the username and your_password with a strong password: CREATE USER 'your_user'@'localhost' IDENTIFIED BY 'your_password'; If you want the user to connect from any host, replace 'localhost' with '%': CREATE USER 'your_user'@'%' IDENTIFIED BY 'your_password'; Grant Permissions to the User Assign full permissions on the database to the user with the GRANT statement: GRANT ALL PRIVILEGES ON your_database.* TO 'your_user'@'localhost'; For connections from any host: GRANT ALL PRIVILEGES ON your_database.* TO 'your_user'@'%'; Apply Changes Always run the FLUSH PRIVILEGES command to reload the privileges table and ensure your changes take effect: FLUSH PRIVILEGES; Verify the Setup To confirm everything is set up correctly, you can: Switch to the new user: mysql -u your_user -p Use the new database: USE your_database; Complete Command Summary Here’s the entire process condensed into a single set of commands: CREATE DATABASE your_database; CREATE USER 'your_user'@'localhost' IDENTIFIED BY 'your_password'; GRANT ALL PRIVILEGES ON your_database.* TO 'your_user'@'localhost'; FLUSH PRIVILEGES; For any-host access: CREATE DATABASE your_database; CREATE USER 'your_user'@'%' IDENTIFIED BY 'your_password'; GRANT ALL PRIVILEGES ON your_database.* TO 'your_user'@'%'; FLUSH PRIVILEGES; Tips Always use a strong password for your database users to enhance security. Restrict user access to specific hosts (localhost or a specific IP) whenever possible to reduce the attack surface. If you’re using MySQL 8.0 or newer, consider roles for better permission management. With these commands, you can quickly set up a database, user, and permissions without hassle.

While exploring Invision Board's documentation, I noticed a topic that seems to be underrepresented: selecting the right web server engine. At the time of writing this, there was only one brief mention about which server engine to use, and the information was quite limited. Based on this, I decided to configure nGinX. After browsing through their forums, I stumbled upon a helpful discussion about enabling the API functionality on nGinX. It's worth noting that Invision Board does not officially support nGinX or PHP 8.3, so proceed with caution if you're using these configurations. If you're running nGinX and want to get the API working, adding the following configuration to your server block should do the trick: # Add API-specific configuration location /api/ { # Pass the Authorization header to PHP set $http_authorization $http_authorization; # Serve existing files or route to index.php try_files $uri $uri/ /api/index.php; # PHP processing for the API location ~ \.php$ { include snippets/fastcgi-php.conf; fastcgi_pass unix:/var/run/php/php8.3-fpm.sock; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; # Pass the HTTP_AUTHORIZATION header to PHP fastcgi_param HTTP_AUTHORIZATION $http_authorization; include fastcgi_params; } } Key Points to Remember: This configuration allows the API to function correctly on nGinX by handling requests and passing the Authorization header properly. Ensure your PHP-FPM socket path (/var/run/php/php8.3-fpm.sock) matches your server's setup. Adjust it as necessary for your version of PHP or server configuration. Since Invision Board doesn't officially support nGinX or PHP 8.3, you may encounter issues. Use at your own discretion, and test thoroughly in your environment. By including this snippet, you should be able to enable API functionality on your nGinX-powered Invision Board installation. If you've run into similar challenges or have alternative configurations, feel free to share your experiences!

Objective: Create a program that generates custom holiday messages by combining templates and user input. The program should also allow the user to shuffle the words for fun. Requirements: The program should provide a set of predefined holiday message templates, such as: "Happy {holiday}, {name}! May your {wish} come true this season!" "Wishing you a {adjective} {holiday}, {name}. Stay {wish} and joyful!" The program must: Ask the user for inputs like the holiday name, their name, an adjective, and a wish. Fill the templates with the user-provided data. Display the final messages. Add a "word shuffle" feature: Randomly shuffle all the words in the final message and display it. Ensure the program is interactive and user-friendly. Bonus Challenges: Allow the user to save the generated messages to a text file. Implement a "retry" option to allow the user to create another message without restarting the program. Example Output: Choose a holiday template: 1. "Happy {holiday}, {name}! May your {wish} come true this season!" 2. "Wishing you a {adjective} {holiday}, {name}. Stay {wish} and joyful!" Enter your choice: 1 Enter the holiday name: Christmas Enter your name: Jessica Enter an adjective: wonderful Enter a wish: dreams Generated Message: "Happy Christmas, Jessica! May your dreams come true this season!" Shuffled Words: "come this May Jessica! true season dreams your Christmas, Happy" Programming Languages: You can complete this challenge in any programming language of your choice. Share your solution once you're done, and I can review it or suggest improvements!

As someone who has worked with numerous hosting providers over the years, I can confidently say that IONOS stands out as a superior choice for web hosting. Their servers are not only robust but also incredibly cost-effective, offering features and performance that rival much pricier competitors. Let me share why I’ve been so impressed with their services and why you might want to consider them for your own projects. Exceptional Features at an Affordable Price IONOS provides a wide range of hosting solutions tailored to meet various needs, from small personal blogs to large e-commerce platforms. Their offerings include: Reliable Uptime: Their servers boast impressive reliability, ensuring your website remains accessible. Fast Loading Speeds: Speed is a critical factor for user experience and SEO, and IONOS delivers consistently. User-Friendly Tools: With intuitive control panels and powerful tools, managing your website is straightforward, even for beginners. Scalability: Whether you’re just starting or running a high-traffic site, IONOS makes scaling effortless. Eco-Conscious Initiatives: Many plans come with a bonus—a tree planted in your name, contributing to a greener planet. Refer and Earn Rewards IONOS offers a referral program where both you and your friends can benefit. By signing up through my referral links, you can earn rewards like cash bonuses and free services, all while supporting sustainability efforts with tree planting. Here are some of the popular IONOS services you can explore: Web Hosting Email & Office Website Builder & Shop WordPress Hosting My Personal Experience From the moment I signed up, I’ve experienced nothing but excellent support and performance. Setting up my website was a breeze thanks to their user-friendly interface. Their customer service team has been quick and knowledgeable whenever I’ve had questions. Start Your Journey Today If you’re searching for reliable and affordable web hosting, look no further than IONOS. With incredible performance, eco-friendly initiatives, and lucrative referral rewards, it’s an easy choice for businesses and individuals alike. Use my referral links to start your journey with IONOS and enjoy top-tier hosting with amazing benefits: Web Hosting E-Mail & Office Website Builder & Shop WordPress Hosting Make the switch to IONOS today—you won’t regret it!

The internet is deeply embedded in modern life, serving as a platform for communication, commerce, education, and entertainment. However, the Dead Internet Theory questions the authenticity of this digital ecosystem. Proponents suggest that much of the internet is no longer powered by genuine human activity but by bots, AI-generated content, and automated systems. This article delves into the theory, its claims, evidence, counterarguments, and broader implications. Understanding the Dead Internet Theory The Dead Internet Theory posits that a substantial portion of online activity is generated not by humans but by automated scripts and artificial intelligence. This transformation, theorists argue, has turned the internet into an artificial space designed to simulate engagement, drive corporate profits, and influence public opinion. Key Claims of the Theory Bots Dominate the Internet: Proponents claim that bots outnumber humans online, performing tasks like posting on forums, sharing social media content, and even engaging in conversations. AI-Generated Content: Vast amounts of internet content, such as articles, blog posts, and comments, are said to be created by AI systems. This inundation makes it increasingly difficult to identify authentic human contributions. Decline in Human Interaction: Critics of the modern internet note a reduction in meaningful human connections, with many interactions feeling repetitive or shallow. Corporate and Government Manipulation: Some proponents argue that corporations and governments intentionally populate the internet with artificial content to control narratives, maximize ad revenue, and monitor public discourse. The Internet "Died" in the Mid-2010s: Many point to the mid-2010s as the turning point, coinciding with the rise of sophisticated AI and machine learning tools capable of mimicking human behavior convincingly. Evidence Cited by Supporters Proliferation of Bots: Platforms like Twitter and Instagram are rife with fake accounts. Proponents argue that the sheer volume of these bots demonstrates their dominance. Automated Content Creation: AI systems like GPT-4 generate text indistinguishable from human writing, leading to fears that they contribute significantly to online content. Artificial Virality: Trends and viral posts sometimes appear orchestrated, as though designed to achieve maximum engagement rather than arising organically. Counterarguments to the Dead Internet Theory While intriguing, the Dead Internet Theory has several weaknesses that critics are quick to point out: Bots Are Present but Contained: Bots undoubtedly exist, but platforms actively monitor and remove them. For instance, Twitter’s regular purges of fake accounts show that bots, while significant, do not dominate. Human Behavior Drives Patterns: Algorithms amplify popular posts, often creating the illusion of orchestrated behavior. This predictability can explain repetitive trends without invoking bots. AI Content Is Transparent: Much of the AI-generated content is clearly labeled or limited to specific use cases, such as automated customer service or news aggregation. There is no widespread evidence that AI is covertly masquerading as humans. The Internet’s Complexity: The diversity of the internet makes it implausible for a single entity to simulate global activity convincingly. Authentic human communities thrive on platforms like Discord, Reddit, and independent blogs. Algorithms, Not Deception, Shape Content: Engagement-focused algorithms often prioritize content that generates clicks, which can lead to shallow, viral trends. This phenomenon reflects corporate interests rather than an intentional effort to suppress human participation. Cognitive Biases Shape Perceptions: The tendency to overgeneralize from negative experiences can lead to the belief that the internet is "dead." Encounters with spam or low-effort content often overshadow meaningful interactions. Testing AI vs. Human Interactions: Human or Not? The Human or Not website offers a practical way to explore the boundary between human and artificial interactions. Users engage in chats and guess whether their conversational partner is a human or an AI bot. For example, a bot might respond to a question about hobbies with, "I enjoy painting because it’s calming." While this seems plausible, deeper engagement often reveals limitations in nuance or context, exposing the bot. In another instance, a human participant might share personal anecdotes, such as a memory of painting outdoors during a childhood trip, which adds emotional depth and a specific context that most bots currently struggle to replicate. Similarly, a bot might fail to provide meaningful responses when asked about abstract topics like "What does art mean to you?" or "How do you interpret the role of creativity in society?" This platform highlights how advanced AI systems have become and underscores the challenge of distinguishing between genuine and artificial behavior—a core concern of the Dead Internet Theory. The Human or Not website offers a practical way to explore the boundary between human and artificial interactions. Users engage in chats and guess whether their conversational partner is a human or an AI bot. For example, a bot might respond to a question about hobbies with, "I enjoy painting because it’s calming." While this seems plausible, deeper engagement often reveals limitations in nuance or context, exposing the bot. This platform highlights how advanced AI systems have become and underscores the challenge of distinguishing between genuine and artificial behavior—a core concern of the Dead Internet Theory. Alan Turing and the Turing Test The Dead Internet Theory inevitably invokes the legacy of Alan Turing, a pioneer in computing and artificial intelligence. Turing’s contributions extended far beyond theoretical ideas; he laid the groundwork for modern computing with the invention of the Turing Machine, a conceptual framework for algorithmic processes that remains a foundation of computer science. One of Turing’s most enduring legacies is the Turing Test, a method designed to evaluate a machine’s ability to exhibit behavior indistinguishable from a human. In this test, a human evaluator interacts with both a machine and a human through a text-based interface. If the evaluator cannot reliably differentiate between the two, the machine is said to have "passed" the test. While the Turing Test is not a perfect measure of artificial intelligence, it set the stage for the development of conversational agents and the broader study of machine learning. Turing’s work was instrumental in breaking the German Enigma code during World War II, an achievement that significantly influenced the outcome of the war. His efforts at Bletchley Park showcased the practical applications of computational thinking, blending theoretical insights with real-world problem-solving. Beyond his technical achievements, Turing’s life story has inspired countless discussions about the ethics of AI and human rights. Despite his groundbreaking contributions, Turing faced persecution due to his sexuality, a tragic chapter that underscores the importance of inclusion and diversity in the scientific community. Turing’s vision continues to inspire advancements in AI, sparking philosophical debates about intelligence, consciousness, and the ethical implications of creating machines that mimic human behavior. His legacy reminds us that the questions surrounding AI—both its possibilities and its risks—are as relevant today as they were in his time. The Dead Internet Theory inevitably invokes the legacy of Alan Turing, a pioneer in computing and artificial intelligence. His most famous contribution, the Turing Test, was designed to determine whether a machine could exhibit behavior indistinguishable from a human. In the Turing Test, a human evaluator engages with two entities—one human and one machine—without knowing which is which. If the evaluator cannot reliably tell them apart, the machine is said to have "passed." This benchmark remains a foundational concept in AI research, symbolizing the quest for machines that emulate human thought and interaction. Turing’s groundbreaking work laid the foundation for modern AI and sparked philosophical debates about the nature of intelligence and authenticity. His vision continues to inspire both advancements in AI and critical questions about its societal impact. Why Does the Theory Resonate? The Dead Internet Theory reflects growing concerns about authenticity and manipulation in digital spaces. As AI technologies become more sophisticated, fears about artificial content displacing genuine human voices intensify. The theory also taps into frustrations with the commercialization of the internet, where algorithms prioritize profit over meaningful interactions. For many, the theory is a metaphor for their disillusionment. The internet, once a space for creativity and exploration, now feels dominated by ads, data harvesting, and shallow content. A Manufactured Reality or Misplaced Fear? The Dead Internet Theory raises valid questions about the role of automation and AI in shaping online experiences. However, the internet remains a space where human creativity, community, and interaction persist. The challenges posed by bots and AI are real, but they are counterbalanced by ongoing efforts to ensure authenticity and transparency. Whether the theory holds merit or simply reflects anxieties about the digital age, it underscores the need for critical engagement with the technologies that increasingly mediate our lives online. The future of the internet depends on our ability to navigate these complexities and preserve the human element in digital spaces.

I am a three-digit number. My tens digit is five more than my one's digit, and my hundreds digit is eight less than my tens digit. What number am I? Hint: Start from the middle.

Ok, it looks like there will be a lot of different costs associated with this integration. I don't think right now is the time. Back to doing it the OG way 🙂

Over the next week you will see test posts while integrating Zapier and Mastodon to CodeName. Please stand by and I will announce once it has been completed.

Hello Everyone! As we celebrate this joyous season, I want to take a moment to wish all of you a Merry Christmas and Happy Holidays! Whether you're spending time with loved ones, enjoying festive traditions, or simply taking a well-deserved break, may this season bring you peace, happiness, and warmth. Christmas is a time of giving, gratitude, and reflection. Let’s take this opportunity to appreciate the friendships, connections, and community we've built here. Together, we’ve made this space more than just a forum; we’ve made it a home. A Few Thoughts to Celebrate the Season: Spread kindness wherever you go, a small gesture can make someone’s day brighter. Take time to recharge and reflect on the year’s accomplishments and challenges. Remember that this season is about creating memories and sharing love. What Are Your Holiday Traditions? Do you have special traditions, favorite holiday recipes, or heartwarming stories to share? Let’s fill this thread with festive cheer and holiday inspiration! Thank you for being part of this incredible community. Here's to a wonderful holiday season and an amazing New Year ahead. 🎄✨ Warm wishes, Jessica

A while back, I was tasked to create a BASH script to onboard Linux machines to Azure Update Manager. Since multiple Business units were going to be using this, I needed it to be easy to use, with plug and play arguments and easy to follow instructions. Overall, this is the script that has been working for over 350 RHEL machines and VMs. #!/bin/bash # linux_aum_onboard.sh # Version 2.1.0 [Dec. 17, 2023] # By Jessica Brown # Added argument parsing for all required parameters. # Added logging and log file argument handling. # Simplified --help for clear instructions. # Aum Arc Onboarding # Key Changes: # Argument Handling: Added getopts-like case parsing for all arguments. # Logging: Enhanced logging functions to reflect levels clearly. # Defaults: Assigned default values for log file and logging level. # Validation: Ensures all required arguments are supplied, else exits with --help. # Default values servicePrincipalClientId="" servicePrincipalSecret="" SUBSCRIPTION_ID="" RESOURCE_GROUP="" TENANT_ID="" LOCATION="" CORRELATION_ID="" logging="info" aum_log_file="aum_install_$(LC_ALL=C date +"%Y-%m-%d_%H-%M-%S")_${USER}.log" CLOUD="AzureCloud" tempdir="/tmp" # Function to print help usage() { cat << EOF Usage: $0 [options] Options: --help, -h Show this help message --servicePrincipalClientId, -spc Service Principal Client ID --servicePrincipalSecret, -sps Service Principal Secret --subscriptionId, -sid Azure Subscription ID --resourceGroup, -rg Azure Resource Group --tenantId, -tid Azure Tenant ID --location, -l Azure Location --correlationId, -cid Correlation ID --logging Logging level (default: info) Options: debug, info, warning, error, critical --logFile Log file name (default: aum_install_<date>_<user>.log) EOF exit 0 } # Logging functions log_level=5 # Default to "info" log() { local level=$1; shift local msg="$*" local timestamp="$(LC_ALL=C date +"%Y-%m-%d %H:%M:%S")" local levels=("" "CRITICAL" "ERROR" "WARNING" "NOTICE" "INFO" "DEBUG") if [ ${level} -le ${log_level} ]; then echo "[${timestamp}]:[${levels[level]}]:${msg}" | tee -a "${aum_log_file}" fi } set_log_level() { case "$logging" in critical) log_level=1 ;; error) log_level=2 ;; warning) log_level=3 ;; info) log_level=5 ;; debug) log_level=6 ;; *) log_level=5; log warning "Unknown logging level: $logging, defaulting to info." ;; esac } # Parse arguments while [[ $# -gt 0 ]]; do key="$1" case $key in -h|--help) usage ;; -spc|--servicePrincipalClientId) servicePrincipalClientId="$2"; shift 2;; -sps|--servicePrincipalSecret) servicePrincipalSecret="$2"; shift 2;; -sid|--subscriptionId) SUBSCRIPTION_ID="$2"; shift 2;; -rg|--resourceGroup) RESOURCE_GROUP="$2"; shift 2;; -tid|--tenantId) TENANT_ID="$2"; shift 2;; -l|--location) LOCATION="$2"; shift 2;; -cid|--correlationId) CORRELATION_ID="$2"; shift 2;; --logging) logging="$2"; shift 2;; --logFile) aum_log_file="$2"; shift 2;; *) log 2 "Unknown argument: $1"; usage;; esac done # Validate required arguments if [[ -z "$servicePrincipalClientId" || -z "$servicePrincipalSecret" || -z "$SUBSCRIPTION_ID" || \ -z "$RESOURCE_GROUP" || -z "$TENANT_ID" || -z "$LOCATION" ]]; then log 2 "Missing required arguments." usage fi # Set logging level set_log_level # Start Logging log 5 "Starting AUM Linux Onboarding Script" log 5 "Log file: ${aum_log_file}" # Dependencies and preparation if ! command -v curl &>/dev/null; then log 2 "curl is not installed. Installing..." sudo -E yum -y install curl || { log 1 "Failed to install curl."; exit 1; } fi log 5 "Downloading install_linux_azcmagent.sh..." curl -o install_linux_azcmagent.sh https://gbl.his.arc.azure.com/azcmagent-linux || { log 1 "Failed to download install_linux_azcmagent.sh."; exit 1; } chmod +x install_linux_azcmagent.sh log 5 "Running installation script..." ./install_linux_azcmagent.sh || { log 1 "Installation failed."; exit 1; } log 5 "Connecting to Azure using azcmagent..." ./azcmagent connect \ --service-principal-id "${servicePrincipalClientId}" \ --service-principal-secret "${servicePrincipalSecret}" \ --resource-group "${RESOURCE_GROUP}" \ --tenant-id "${TENANT_ID}" \ --location "${LOCATION}" \ --subscription-id "${SUBSCRIPTION_ID}" \ --cloud "${CLOUD}" \ --tags "Region=Americas" \ --correlation-id "${CORRELATION_ID}" || { log 1 "Failed to connect using azcmagent."; exit 1; } log 5 "AUM Linux Onboarding completed successfully."

Introduction In an increasingly digital world, cybersecurity is more critical than ever. Whether you are an individual protecting your personal data or a professional managing sensitive business information, understanding the basics of cybersecurity is essential. This guide provides practical tips, essential tools, and valuable resources to enhance your online security and point you in the right direction for further learning. Cybersecurity Best Practices 1. Use Strong, Unique Passwords Tip: Create long passwords with a mix of uppercase letters, lowercase letters, numbers, and special characters. Tool: Use a password manager like KeePassXC or Bitwarden to generate and store passwords securely. 2. Enable Multi-Factor Authentication (MFA) Tip: Always enable MFA where available to add an extra layer of security. Example: Use authenticator apps like Google Authenticator or hardware tokens like YubiKey for enhanced protection. 3. Keep Software and Systems Updated Tip: Regularly apply updates and patches to operating systems, software, and firmware to close vulnerabilities. Best Practice: Enable automatic updates where possible. 4. Beware of Phishing Attacks Tip: Think before you click. Be cautious of unsolicited emails, messages, or links. Tool: Use anti-phishing browser extensions like Netcraft or built-in features in modern browsers. 5. Use a VPN on Public Networks Tip: Avoid transmitting sensitive data over public Wi-Fi without a VPN. Tool: Reliable VPNs include ProtonVPN and NordVPN. 6. Secure Your Home Network Tip: Change default router passwords and use WPA3 encryption for Wi-Fi. Tool: Network monitoring tools like Fing can help you detect unauthorized devices. 7. Regularly Back Up Data Tip: Back up important files to secure cloud storage or an offline device. Tool: Services like Backblaze or external drives with encryption are ideal. 8. Practice Safe Social Media Use Tip: Limit the personal information you share publicly. Best Practice: Adjust privacy settings to control who can view your posts and profile. Essential Cybersecurity Tools 1. Firewalls Protect against unauthorized access to your network. Popular options: pfSense (open source) or built-in OS firewalls. 2. Antivirus Software Detect and remove malware. Recommended tools: ESET, Malwarebytes. 3. Endpoint Security Solutions For businesses, solutions like CrowdStrike or SentinelOne provide advanced endpoint protection. 4. Encryption Tools Encrypt sensitive files and emails. Tools: VeraCrypt, GPG. 5. Network Scanning and Monitoring Detect vulnerabilities and monitor traffic. Tools: Wireshark, Nmap. Resources for Learning Cybersecurity Online Courses and Platforms: Cybrary: Free and paid courses on various cybersecurity topics. Udemy: Affordable courses like "The Complete Cyber Security Course." Coursera: University-level cybersecurity courses. Certifications: CompTIA Security+: Ideal for beginners. Certified Information Systems Security Professional (CISSP): For advanced learners. Certified Ethical Hacker (CEH): Focused on offensive security skills. Books: "Hacking: The Art of Exploitation" by Jon Erickson. "The Web Application Hacker's Handbook" by Dafydd Stuttard and Marcus Pinto. Communities: Reddit: Active discussions and resources. Hack The Box: Hands-on cybersecurity challenges. OWASP: Focused on web application security.

Introduction Linux has an incredibly diverse ecosystem of software, making it a powerful and versatile operating system for both personal and professional use. However, finding the right tools for specific tasks can be daunting due to the sheer number of options available. The GitHub repository Awesome-Linux-Software is an invaluable resource that curates a comprehensive list of high-quality Linux applications across various categories. In this topic, we’ll explore the repository, its structure, and how it can simplify software discovery for Linux users. What is Awesome-Linux-Software? Awesome-Linux-Software is a community-driven repository hosted on GitHub, maintained by contributors who are passionate about Linux. It provides: A categorized list of free and open-source software. Recommendations for proprietary software when no open-source alternatives exist. Regular updates to ensure relevancy and usability. The repository’s mission is to help Linux users find the best tools for their needs, whether for productivity, multimedia, development, or gaming. Key Features Categorization: Software is organized into categories like Development, Multimedia, Security, Networking, and more. Each category includes a brief description of the software and its primary features. Quality Recommendations: The list prioritizes well-maintained, community-endorsed software. Suggestions often include links to the project’s homepage or documentation. Open-Source First: Emphasis is placed on open-source software, promoting transparency and community collaboration. Proprietary tools are listed only when necessary and are clearly marked. Active Maintenance: The repository is regularly updated with new entries and improvements. Community contributions ensure the list stays relevant and comprehensive. Highlights from the Repository Here are a few standout categories and tools listed in the repository: Development Tools: Visual Studio Code: A lightweight yet powerful source code editor. GitKraken: An intuitive Git GUI for managing repositories. Multimedia: Audacity: A popular audio editing software. GIMP: A feature-rich image manipulation program. Security: Wireshark: A network protocol analyzer. KeePassXC: A secure password manager. Productivity: LibreOffice: A full-featured office suite. Zim: A desktop wiki for organizing notes. Gaming: Steam: A digital distribution platform for games. Lutris: A gaming platform that manages and installs games from various sources. How to Use Awesome-Linux-Software Browse the Repository: Visit the GitHub page and explore the categories. Find Software: Look for tools in categories relevant to your needs. Contribute: If you know of a great Linux application that isn’t listed, consider submitting a pull request to help expand the repository. Why It’s Useful for Linux Users Centralized Resource: Instead of searching through forums or multiple websites, this repository provides a one-stop solution. Community Driven: The recommendations come from Linux enthusiasts and professionals. Discover Hidden Gems: The list often includes lesser-known tools that might be perfect for your use case.

Introduction Managing processes is a critical task for Linux system administrators. While tools like top have been around for decades, htop provides a modern, user-friendly alternative that enhances usability and functionality. In this topic, we will explore the features, installation, and use cases of htop and why it is a must-have tool for every Linux administrator. What is htop? htop is an interactive process viewer for Unix systems. It allows users to monitor system resources, manage processes, and analyze system performance in a more visual and intuitive way than traditional command-line tools like top. Key features include: A color-coded, graphical display of CPU, memory, and swap usage. Easy-to-use navigation with keyboard shortcuts. Customizable interface to suit your workflow. Key Features Process Management: View and manage processes in real-time. Search for specific processes by name or ID. Kill or renice processes directly from the interface. Resource Monitoring: Visual graphs for CPU, memory, and swap usage. Per-core CPU usage breakdown. Threads and I/O statistics. User-Friendly Interface: Navigate with arrow keys or mouse (if supported). Resize and rearrange columns to display relevant information. Highlight specific processes with customizable color schemes. Installing htop On Debian-based systems (Ubuntu, etc.): sudo apt update sudo apt install htop On RHEL-based systems (CentOS, Fedora, etc.): sudo dnf install htop On openSUSE: sudo zypper install htop Building from source (optional): git clone https://github.com/htop-dev/htop.git cd htop ./autogen.sh ./configure make sudo make install How to Use htop Launching htop: Simply type htop in your terminal and press Enter. Basic Navigation: Use arrow keys to scroll through processes. Press F3 to search for processes. Use F9 to kill a process and F7/F8 to renice. Customizing the Display: Press F2 to access the setup menu. Rearrange columns or toggle additional metrics like disk I/O or network usage. Filtering and Sorting: Filter processes by user or state. Press F6 to sort by various metrics, such as CPU or memory usage. Use Cases for System Administrators Troubleshooting Performance Issues: Quickly identify resource-hungry processes. Monitor memory leaks or excessive CPU usage. Process Analysis: Drill down into individual threads of multi-threaded processes. Analyze load distribution across CPU cores. System Monitoring: Use htop as a lightweight monitoring tool during routine maintenance. Export data to analyze usage trends over time. Tips and Tricks Save Custom Configurations: Save your display preferences to avoid reconfiguring every time. Remote Monitoring: Use htop over SSH to monitor remote servers. Toggle Tree View: Press F5 to enable tree view and visualize parent-child process relationships.

Objective Write a program that simulates an interactive text-based adventure game. The player must navigate through a series of challenges, make decisions, and reach the treasure at the end of the journey. The program should provide multiple paths and outcomes based on the player's choices. Requirements Input Handling: The program should take user input to make decisions (e.g., choosing between different paths or actions). Dynamic Storyline: Create at least three branches in the story with unique outcomes based on user decisions. Data Structures: Use appropriate data structures to manage the game's state (e.g., dictionaries for story branches, lists for inventory). Game Elements: Include a simple inventory system where the player can collect and use items. Incorporate at least one puzzle or riddle that the player must solve to progress. Add a "health" system where the player loses health points for wrong choices. Winning and Losing Conditions: The player should "win" by reaching the treasure. The game ends if the player's health reaches zero or they make a critical mistake. Code Reusability: Use functions or classes to avoid repetitive code. Bonus Challenges Add sound effects or animations (like ASCII art) for critical moments in the story. Implement a "save" and "load" feature to allow players to return to their last checkpoint. Allow players to retry from the last decision point if they lose. Example Output Start: Welcome to the Adventurer's Quest! You find yourself in a dark forest with two paths ahead. 1. Take the left path. 2. Take the right path. What do you choose? (Enter 1 or 2): Puzzle Encounter: You've encountered a mysterious gatekeeper who asks you a riddle: "I speak without a mouth and hear without ears. I have no body, but I come alive with wind. What am I?" Enter your answer: Inventory Use: You find a locked chest. You see a key in your inventory. Use it? (yes/no): Winning: Congratulations! You've reached the treasure and completed the Adventurer's Quest! Submission Guidelines Include your code with proper comments explaining each section. Provide a brief summary of your approach. If possible, share a link to a GitHub repository or CodeSandbox to showcase your work. Discussion Once you complete the challenge, share your program and discuss your approach with others in this thread. Feel free to ask for help or provide feedback on others' submissions. Let the adventure begin!

Artificial Intelligence (AI) and Machine Learning (ML) have become buzzwords in today’s tech-driven world. From self-driving cars to personalized recommendations on Netflix, AI and ML are everywhere. But where do you begin if you’re new to this fascinating field? Let’s break it down into simple, digestible pieces to get you started. What is AI and ML? Artificial Intelligence (AI): AI refers to systems or machines that mimic human intelligence to perform tasks and improve themselves based on the information they collect. Think of chatbots, virtual assistants like Alexa or Siri, or even video game opponents that adapt to your play style. Machine Learning (ML): ML is a subset of AI. It’s a method of teaching computers to learn from data rather than being explicitly programmed. For example, instead of writing detailed instructions for a computer to recognize cats in images, you provide a lot of pictures labeled “cat” and “not a cat” and let the computer figure out how to identify them. Key Terms to Know Data: The foundation of ML. It’s the information (numbers, images, text, etc.) that machines learn from. Algorithm: A set of rules or instructions the machine follows to make decisions. Model: The result of training an algorithm on data. It’s what the machine uses to make predictions or decisions. Training: The process of feeding data to the algorithm so it can learn. Inference: When the trained model makes predictions or decisions based on new data. How to Get Started Learn the Basics of Programming: Python is the most popular language for AI and ML. Start by learning its basics, including data structures and libraries like NumPy and Pandas. Understand Linear Algebra and Statistics: ML relies heavily on math. Brush up on linear algebra, probability, and statistics. Don’t worry—there are plenty of beginner-friendly resources online! Explore ML Libraries: Libraries like TensorFlow and PyTorch make it easier to implement ML models. Start with simple projects like predicting stock prices or building a chatbot. Work on Real Projects: Apply your skills by working on small, real-world problems. For example, you can: Create a program that predicts house prices based on size and location. Develop an app that recognizes objects in photos. Join Communities: Engage with AI and ML communities to share knowledge and get support. Online forums, local meetups, and courses are great places to start. Learn by Doing: Practice is key. Try coding challenges on platforms like Kaggle or Google Colab, which offer free environments to run ML projects. Recommended Resources Books: “Artificial Intelligence: A Guide to Intelligent Systems” by Michael Negnevitsky “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron Online Courses: Coursera: Machine Learning by Andrew Ng (Stanford University) Fast.ai: Practical Deep Learning for Coders Websites: Kaggle.com (for datasets and competitions) TowardsDataScience.com (for tutorials and tips) Beginner-Friendly Example: Predicting House Prices Here’s a simple example to try: Collect Data: Find a dataset with house prices, sizes, locations, etc. (Kaggle has plenty!) Choose an Algorithm: Start with Linear Regression, one of the simplest ML algorithms. Train Your Model: Use the dataset to teach your model to predict house prices based on the input features. Test Your Model: Use new data to see how well your model predicts prices. This small project will teach you the basics of data preprocessing, training, and testing models.