Ghostty is a fast and feature-rich terminal emulator that works on multiple platforms. It has a user-friendly interface and uses GPU acceleration for better performance.

Key Features:

• Easy Installation: Just install Ghostty and start using it without any setup.
• Supported Platforms: Ready-to-use versions are available for macOS, and you can either download packages or build from source for Linux.
• Custom Keybindings: You can easily customize keybindings to suit your preferences.
• Color Themes: Ghostty comes with many built-in themes and supports different options for light and dark modes.
• Extensive Configuration: There are many settings available to tailor the terminal's appearance and behavior.
• Terminal API: Provides resources for developers to understand terminal concepts and supported controls.

You can find more information in the documentation or edit it on GitHub.

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The blog shares various preliminary ideas from the author. It features different posts and categories, and includes links to their GitHub and Twitter. Notable posts include topics on the borrow checker and the importance of empathy in the open-source community.

Researchers at Oregon State University have developed a new iron-based nanomaterial that effectively destroys cancer cells while leaving healthy tissue unharmed. This nanomaterial specifically targets cancer cells by activating two chemical reactions that produce harmful oxygen molecules, overwhelming the cancer cells without affecting surrounding healthy cells.

In experiments with mice, the nanomaterial completely eliminated breast cancer tumors and prevented their recurrence, showing no harmful side effects. This innovative approach enhances existing cancer treatment strategies known as chemodynamic therapy (CDT), which exploits the unique chemical environment of tumors.

The new nanoagent can generate both hydroxyl radicals and singlet oxygen, increasing its effectiveness against cancer. Next, researchers plan to test this treatment on other types of cancer, such as pancreatic cancer, before moving on to human trials.

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SAS Audio Processor Summary

The SAS Audio Processor provides a set of 25 audio tools for processing, effects, analysis, MIDI extraction, and composite tasks. It can handle WAV files and outputs results in structured JSON format.

Key Features:

• Processing Tools: Trim, time-stretch, convert, silence-remove, split-bars
• Effects Tools: Normalize, gain, compress, EQ, reverb, pitch-shift
• Analysis Tools: Analyze BPM, detect key, measure loudness
• MIDI Tool: Convert melody to MIDI
• Composite Tools: Master track, prepare samples, tempo match

Quick Start Guide:

1. Install DeclarAgent using the command: go install github.com/stevehiehn/declaragent@latest
2. Install SAS Audio Processor from source or use a pre-built binary for macOS.
3. Configure MCP by adding settings to your configuration file.
4. Use the Audio Tools directly in Claude Code or other supported MCP clients.

Available Tools and Their Functions:

• Processing: Trim audio, change tempo, convert formats, remove silence
• Effects: Adjust volume, apply compression, add reverb, filter sounds
• Analysis: Detect BPM, musical key, and measure loudness
• MIDI: Extract melody into MIDI format
• Composite: Chain multiple processing steps for mastering audio

Additional Information:

• The processor only supports WAV files and is designed for macOS.
• It has a binary size of approximately 220MB due to dependencies.

License:

The software is released under the MIT License.

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Summary of the C++ Memory Allocation Behavior

Key Point: Initial Allocation of 72 KB

• When testing a custom memory allocator in C++, the first memory allocation consistently observed is 72 KB. This is due to the C++ standard library's setup for exception handling, which reserves this memory for an "emergency pool."

Understanding the Emergency Pool

• The emergency pool is allocated at program startup to ensure exceptions can still be thrown if the regular memory allocation fails. This pool is created lazily, meaning it only allocates memory when the program begins.

Why 72 KB?

• The size of the emergency pool (72 KB) is determined by the number of objects and their estimated size, which can be adjusted using specific environment variables. It is designed to hold exception objects to handle errors even in low-memory situations.

Valgrind and Memory Management

• This initial memory allocation can sometimes confuse developers, leading them to think there's a memory leak. However, newer versions of Valgrind recognize and properly free this emergency pool memory during cleanup, clarifying the allocation process.

Considerations for Different Environments

• The observed allocation size may vary (e.g., 71 KB instead of 72 KB) depending on factors such as the version of the standard library or the compiler used.

Conclusion

• Understanding why this 72 KB allocation occurs helps clarify memory management in C++ programs and the behavior of custom allocators when interfacing with the standard library.

Summary of Servo's January Updates

Servo 0.0.5 Release Highlights:

• Improved web features and support for new web standards.
• Introduced various new functionalities such as:
  • Preloading resources with <link rel=preload>.
  • Support for OGG files in <audio> elements.
  • Enhanced styling options for input fields and form elements.
  • Improvements in how documents handle fullscreen mode and URL navigation.

Web APIs Enhancements:

• Enabled navigator.sendBeacon() by default for better network communication.
• Improved media playback and network error handling.
• Enhanced support for JavaScript modules and cyclic imports.

Text Input and Form Controls:

• Cursor positioning and text selection in input fields have been improved.
• Better styling capabilities for buttons and form elements.

CSS Improvements:

• Fixes in block layout algorithms and improved scroll behavior for overflow elements.
• Enhanced support for CSS properties and pseudo-elements.

Developer Tools and Debugging:

• Improved integration with developer tools, including better handling of worker globals and console messages.
• Enhanced functionality for the JS debugger.

Stability and Performance:

• Optimizations for network operations and memory usage, leading to improved performance.
• Fixed various bugs that could cause crashes or panics in the system.

Funding and Community Support:

• Servo is receiving $7007/month in donations, helping to support development and community initiatives.
• New sponsorship tiers are available for organizations to support the project.

Conference Participation:

• Servo was featured in talks at FOSDEM 2026, discussing its impact on web standards and the challenges of implementing new specifications.

Overall, Servo has made significant strides in enhancing its web platform capabilities, improving performance, and engaging with the developer community.

The Model Context Protocol (MCP) is failing and may not be necessary. Key points include:

1. Declining Support: Major platforms like OpenClaw and Pi do not support MCP, indicating it's losing relevance.

2. Unnecessary Complexity: MCP aimed to create a cleaner interface for LLMs (Large Language Models), but these models already excel at using command-line tools (CLIs) without needing a special protocol.

3. Debugging Difficulties: With MCP, troubleshooting becomes complicated, as users must navigate through logs instead of directly executing commands to see outputs.

4. Composability Issues: CLIs allow users to easily combine commands and process data in ways that MCP struggles with, often requiring more work for subpar results.

5. Authentication Problems: MCP complicates authentication unnecessarily, while CLIs have established, reliable methods that work consistently.

6. Operational Challenges: MCP servers require maintenance and can be unreliable, while CLI tools are straightforward and do not require background processes.

7. Exceptions for MCP: While MCP may be useful when no CLI exists for a tool, CLIs are generally simpler, faster, and more reliable for most tasks.

In conclusion, CLIs are better equipped for both human and machine use, and developers should prioritize creating effective CLIs over MCPs.

The text discusses a few key points related to programming and personal growth.

1. The term "houseplant programming" may or may not include a plant emoji, and the writer will use both versions until someone decides.

2. "Production code" generally refers to code that is actively used by others and requires reliability. A humorous definition suggests that it has a support number for when issues arise.

3. While bugs in code are common, they are not unique to "houseplant code."

4. The writer reflects on their past self, noting that they lacked confidence and felt pressured to prove themselves but acknowledges that they had valuable insights to share.

5. The writer encourages readers to explore topics like "perfectionism" and "capitalism" for personal development.

6. The phrase "fail fast" is mentioned, suggesting a mindset of learning quickly from mistakes.

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Summary: Cultivating Quantum-Safe HTTPS (February 27, 2026)

Google's Chrome team is launching a program to make HTTPS certificates secure against quantum computers. To address the challenges posed by quantum-resistant cryptography, they are developing a new type of HTTPS certificate called Merkle Tree Certificates (MTCs). Unlike traditional certificates, MTCs use compact proofs to sign multiple certificates, improving efficiency and reducing bandwidth requirements.

Key Points:

1. MTC Advantages: MTCs allow for strong security without the heavy data load of traditional certificates, keeping internet speeds fast while enhancing security.

2. Deployment Phases:

   • Phase 1 (Currently Underway): Chrome and Cloudflare are testing MTCs with live internet traffic, ensuring safety with fallback to traditional certificates.
   • Phase 2 (Q1 2027): Trusted organizations will help launch public MTCs after validating the technology.
   • Phase 3 (Q3 2027): A new Chrome Quantum-resistant Root Store will be established to support MTCs and modernize trust systems.

3. Future Goals: The initiative aims to enhance web security, simplify processes, and ensure transparency and resilience in the ecosystem. Chrome will also continue to support existing certificate authorities while transitioning to this new system.

Overall, this effort is crucial for creating a secure foundation for the future of the internet as quantum technology advances.

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The author reflects on their experience as a youth basketball coach, which brought them immense happiness during a time of personal emptiness. Initially feeling unfulfilled in their job, they volunteered to coach a middle school team and quickly became the head coach. They found joy in helping the kids improve their skills and confidence, which also boosted their own self-esteem.

The coaching experience was fulfilling because the author loved working with kids, being active, having control over practices and games, and enjoying the game of basketball itself. They felt a sense of purpose and success as they connected with the players and their families.

However, the season was cut short by the Covid-19 pandemic. The author emphasizes the importance of recognizing what makes one happy and encourages others to explore their own sources of joy, especially in the tech industry where many may feel uncertain about their roles as technology evolves. They hope future generations will find fulfillment outside of just working with technology.

Vertex is a small framework (1 kilobyte) for building single-page applications (SPAs). It includes features from React, Ractive-Load, and jQuery, while still being compatible with jQuery. Vertex.js is a single file that requires no extra setup or dependencies. Remarkably, it can be faster than some of Facebook's long-developed solutions in certain situations.

Pigeons & Planes is relaunching its website after being offline for a few years. The article explains the reasons for bringing the site back.

The author created a Scheme compiler called Puppy Scheme that compiles to WebAssembly (WASM) as a personal side project. It was developed quickly, taking mostly a weekend and a few weekday hours. A performance improvement reduced compilation time from 3.5 minutes to just 11 seconds overnight.

Puppy Scheme currently supports 73% of the R5RS and R7RS standards, along with WASI 2 and the Component Model, and uses WASM's garbage collection. It features efficient dead-code elimination for smaller binaries and can compile its own source code. The author also built a website that runs on Puppy Scheme in Cloudflare Workers.

Additionally, they are working on a component model with a simple counter example in Scheme. Although the compiler is still in an early stage and mainly for personal use, it has impressive features for the time invested. The author is unsure about future developments but invites interested users to visit puppy-scheme.org for more information.

This text is a snippet of code that defines a software dependency. It specifies a library called "hardwood-core" from the group "dev.hardwood" with the version "1.0.0.Alpha1".

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Higher education is facing challenges as public perception of college degrees declines, influenced by political pressures, budget issues, and the impact of AI. However, a recent survey shows that many companies are increasingly focusing on hiring from a small number of elite schools. In 2025, 26% of companies reported recruiting from select institutions, up from 17% in 2022. Even companies that recruit from a broader range still prioritize nearby prestigious universities.

Recruiters are placing more emphasis on degrees and GPAs, moving away from a broader hiring approach. The trend favors in-person recruitment, reminiscent of pre-pandemic practices, with many firms now targeting about 30 colleges out of 4,000.

Despite skepticism about the value of a college education—only 35% of Americans view it as "very important" now compared to 70% in 2013—enrollment in higher education is rising, with 2.2 million bachelor's degrees awarded in 2025. Opinions on the worth of college vary, with some believing the cost is unjustified, especially for younger generations facing high unemployment rates.

Nonetheless, college graduates typically earn significantly more than those without degrees, maintaining a wage gap of around 90%. However, this gap has stabilized in recent years. Overall, while elite institutions may benefit from current hiring trends, the debate about the value of a college education continues.

Woxi Summary

Woxi is an interpreter for the Wolfram Language, developed using Rust. Its main purpose is to provide a lightweight way to use a subset of the Wolfram Language for command line scripting and Jupyter notebooks.

Key Features:

• Supports command line interface (CLI) scripting and Jupyter notebooks.
• Allows execution of Wolfram Language commands directly.
• Runs faster than WolframScript because it avoids kernel startup and licensing checks.
• Offers a JupyterLite instance for testing in your browser without cloud data transfer.

Installation:

• Easy installation via Rust's package manager, Cargo: cargo install woxi
• To build from source, install Rust, clone the repository, and run make install.

Usage:

• Run commands directly in the terminal:
  • Example: woxi eval "1 + 2" outputs 3.
• Execute scripts using: woxi run script.wls.
• Install Woxi as a kernel for Jupyter with: woxi install-kernel.

Comparison with WolframScript: Woxi provides simpler command syntax than WolframScript for similar tasks.

Contributing & Testing:

• Contributions are encouraged through Pull Requests.
• To test the software, use the command: make test.

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The article introduces a new method for 3D printing called Digital Incoherent Synthesis of Holographic Light Fields (DISH). This technique aims to improve the speed and resolution of volumetric 3D printing, which is important for creating complex structures in fields like engineering and biology.

Key points include:

1. High-Speed Printing: DISH allows for the rapid printing of millimetre-scale objects in just 0.6 seconds, significantly speeding up the process compared to traditional methods.

2. Innovative Technology: Instead of rotating the sample, DISH uses a rotating periscope to project light from multiple angles, which maintains high resolution without the need for mechanical sample movement.

3. Versatile Materials: The method can work with various low-viscosity materials, making it suitable for mass production of diverse 3D structures.

4. Improved Resolution: The technology achieves a stable printing resolution of 19 micrometers, enabling the fabrication of intricate designs with high fidelity.

5. Broad Applications: DISH has potential applications in areas like bioprinting, drug screening, and the production of miniaturized devices.

Overall, DISH represents a significant advancement in 3D printing technology, promising faster and more efficient production of high-quality 3D structures.

Understanding scientific articles can be challenging, especially from different fields. To help with this, an app called "Now I Get It!" has been created. Users can upload articles, and within minutes, they receive an interactive webpage highlighting the main points. These pages are stored online and can be accessed later.

The app uses advanced AI technology, which will improve over time. Currently, it's free but limited to processing 20 articles per day to manage costs.

Key points about the app include:

• It is designed for users who want a convenient way to grasp complex scientific papers quickly.
• The creator built it for personal use and for colleagues in various scientific areas, as detailed papers can take a long time to read.
• The app serves as a platform to experiment with AI's ability to interpret scientific content.
• It is developed using specific engineering methods and tools that enhance its functionality.
• The creator is a fan of AWS and has noted improvements in related technologies for creating better software solutions.

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Summary of Long Range E-Bike Project

Jacques Mattheij discusses his journey to create a long-range e-bike. He prefers e-bikes over electric cars due to their lower environmental impact and suitability for commuting. However, standard e-bikes have limitations, such as a maximum speed of 25 kph and limited range per charge.

After initial frustrations with a basic e-bike, he upgraded to an S-Pedelec, which has a higher speed but worse range. To address this, he decided to build a larger battery pack, diving into battery manufacturing and learning about the Bosch e-bike system. He faced challenges with the Bosch Battery Management System (BMS) that restricts third-party battery use.

He discovered an external balancer on Ali Express to help monitor the battery pack and successfully tested a smaller battery before committing to a larger build using 190 Samsung E35 cells. He documented every step, from design to welding the battery pack, ensuring safety and functionality.

His final battery pack, with a capacity of 2150 Wh, allowed him to cycle 130 km in a single trip. He is pleased with the performance, which significantly reduces his car usage. The new battery design offers improved range and longevity compared to standard e-bike batteries.

Jacques encourages others to consider e-bikes as alternatives to cars and to explore modifying their own e-bike systems. He plans to continue refining his design and welcomes feedback from others interested in e-bike technology.

Alibaba has launched its new Qwen3.5 Medium Model series, which includes four large language models (LLMs) designed for local use. Three of these models are open source and can be downloaded by developers, while the fourth is proprietary and available through Alibaba's cloud services. Notably, these models perform on par with leading proprietary models from companies like OpenAI and Anthropic, even outperforming some in recent benchmarks.

Key features of the Qwen3.5 models include:

• High Performance: The models can handle long context lengths (over 1 million tokens) on standard consumer-grade GPUs, making them efficient for large datasets.
• Innovative Design: They use a hybrid architecture that combines Gated Delta Networks with a sparse Mixture-of-Experts system, optimizing parameter efficiency and reducing latency.
• Cost-Effective API: For those not hosting locally, Alibaba offers a competitive API service with low costs per token.

The release of these models allows smaller enterprises to access advanced AI capabilities without requiring significant investment in infrastructure. This enables organizations to analyze large amounts of data securely and autonomously, while maintaining control over their data. Overall, the Qwen3.5 models represent a significant step forward in making powerful AI more accessible and efficient.

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Summary of "Werner Herzog Between Fact and Fiction"

Werner Herzog's recent book, The Future of Truth, explores his unique understanding of "truth" in art and film. Herzog, known for mixing fact with fiction, seeks a deeper, poetic truth, which he terms "ecstatic truth." This concept transcends mere facts and is integral to his filmmaking style, as shown in his past work, such as taking deaf-blind women on a flight for a documentary.

Despite his insightful views, the book is criticized for lacking depth and coherence. It rehashes ideas and anecdotes from his previous works without offering new insights into contemporary issues like fake news or artificial intelligence. Herzog's writing reflects his belief that the journey toward understanding truth is more important than the truth itself, raising questions about distinguishing genuine artistic expression from manipulative narratives.

Ultimately, while The Future of Truth attempts to clarify Herzog's vision, it falls short, leaving readers wanting more substantial exploration of the themes he raises. The hope remains that this book marks the beginning of a new intellectual journey for Herzog.

SpacetimeDB 2.0 has been released and is well-suited for real-time and multiplayer projects using Three.js. In this version, game logic operates directly within the database, which streams updates to connected clients. Developers can create tables for various game elements (like players and entities) and define how these elements change. The Three.js client can subscribe to these updates via WebSockets, allowing for efficient data synchronization without constant polling.

This setup allows the server to manage the game world while the client focuses on rendering graphics. It simplifies common tasks such as moving entities or spawning projectiles. SpacetimeDB 2.0 is ideal for low-latency applications like multiplayer games and collaborative tools.

There's a generous free tier available, and a paid version with higher limits costs $25 a month. The community is encouraged to share their experiences and techniques for using SpacetimeDB 2.0 with Three.js.

Summary:

Leontien Talboom, an archivist at Cambridge University Library, is dedicated to preserving data from aging floppy disks, which hold decades of cultural and scientific history. Floppy disks, once a popular storage medium, are now mostly neglected and at risk of decay. Talboom's work involves cleaning and imaging these disks to recover valuable information, including lectures by Stephen Hawking.

The process is complicated by the variety of disk sizes and formats, requiring special equipment and knowledge. Talboom collaborates with retro computing enthusiasts who have developed tools for this purpose. While some floppies can be successfully imaged, others suffer too much magnetic decay to retrieve their data.

Despite modern storage options, floppy disks are still used in certain industries, highlighting their unexpected longevity. Talboom's project emphasizes the importance of community collaboration in preserving digital history, and while her current work is concluding, she hopes others will continue the effort to save the information stored on these relics.

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The text provides links to two articles. The first link appears to lead to a status update on a website, while the second link refers to a Fortune article discussing OpenAI's discussions with the Pentagon following a situation involving Anthropic. The key points suggest that OpenAI is engaging with the Pentagon, possibly in response to recent developments in the AI field.

The author expresses serious concerns about using passkeys for encrypting user data, arguing that this practice can lead to significant data loss. They explain that many organizations have started using passkeys with Pseudo-Random Functions (PRF) for various purposes, such as encrypting backups and documents. However, when users link their authentication passkeys to encryption, it increases the risk of losing access to important data if the passkey is deleted or forgotten.

For example, a user named Erika might delete her passkey while cleaning up her credential manager without realizing it’s tied to her encrypted backups. Later, if she tries to recover her account, she may be unable to access her important backed-up data, including sentimental photos.

The author urges the identity industry to stop using passkeys for encryption, asking credential managers to provide warnings when users delete passkeys linked to PRF. They suggest that websites should clearly inform users about the risks of using passkeys for more than just authentication. The overall message emphasizes the need for better user awareness and protection to prevent unintentional data loss.

Summary of "Deterministic Programming with LLMs"

Introduction The programming industry is undergoing significant changes due to large language models (LLMs) that can write code. This text discusses how LLMs can be used deterministically, which is just one of many ways to utilize them.

LLMs in Mathematics In mathematics, LLMs can produce text that resembles mathematical proofs, but they can also make errors, known as "hallucinations." Mathematicians prefer using tools like Lean for rigorous proofs because they provide step-by-step verification. Recently, LLMs have been successfully used to assist in solving complex mathematical problems, but human oversight is still crucial.

Determinism in Programming In software development, tools like Claude Code and Gemini Code can assist in coding but are not completely reliable. Automated deployment scripts are preferred because they are deterministic and reduce human error. In contrast, LLMs produce varied results due to their probabilistic nature, making them less suitable for tasks requiring strict consistency.

When Determinism is Necessary Some programming tasks are one-time jobs, while others need to be repeated reliably. Tasks like protecting against injection attacks must be performed consistently. Both humans and LLMs can make mistakes, so achieving determinism is crucial for these repetitive tasks.

Solution: Code-Checking Code To ensure consistent behavior in code, developers can employ deterministic programs, such as linters or unit tests, to enforce standards. While creating these tools requires effort, LLMs can assist in their development. This approach ensures that policies are followed every time the code is built.

Conclusion LLMs are not fully deterministic and may fail to consistently follow coding standards. To guarantee compliance with best practices, developers should rely on deterministic tools and involve LLMs in creating these solutions.

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Summary of AdderBoard Challenge

Objective: The goal is to create the smallest transformer model that can accurately add two 10-digit numbers with at least 99% accuracy on a specific test set.

Background: This challenge originated from a project called Addition Under Pressure, where two models, Claude Code and Codex, were tasked with the same addition problem. Claude Code achieved a model with 6,080 parameters, while Codex produced one with 1,644 parameters. The community has since significantly reduced these numbers.

Model Categories:

1. Trained Models: These are models that learn from data using various training algorithms. They encourage innovative approaches to data formatting and model architecture.
2. Hand-Coded Models: These models have weights set manually, demonstrating that the architecture can perform addition, regardless of training.

Leaderboard Highlights:

• Hand-Coded Models: The top models achieved 100% accuracy with as few as 36 parameters.
• Trained Models: The best-trained model reached 99.999% accuracy with 311 parameters.

Key Rules for Models:

• Must be an autoregressive transformer, meaning they require self-attention and generate outputs one token at a time.
• Should not include problem-specific code in the model's operations.

Allowed Variations:

• Architectural changes and input formatting are permitted as long as they remain consistent.

Qualification Criteria:

• Models must achieve at least 99% accuracy on 10,000 test pairs of integers.

Submission Process:

• Participants can submit their models via issues or pull requests, including links to their code and test results.

Community Insights:

• There's a noted "parameter cliff" around 800 parameters, where accuracy sharply increases.
• Single-layer models often outperform two-layer models when parameter counts are equal.
• Hand-coded models can be significantly smaller than trained models.

Conclusion: The challenge examines the minimal requirements for a transformer to effectively carry out integer addition, focusing on how small the architecture can be while still fulfilling all necessary functions like digit alignment, arithmetic calculation, and carry propagation.

Summary:

This text explains how AI can create images from text, focusing on diffusion models. Here are the key points:

1. Vast Possibilities: The number of potential images is extremely large, with estimates reaching 10^400,000, but most of these are just random noise.

2. Diffusion Models: These models start with random noise and progressively refine it to create an image based on a text prompt, unlike humans who begin with a blank canvas.

3. Latent Space: The model operates in a lower-dimensional space called latent space, making the process of generating images more manageable.

4. Embedding Space for Prompts: Text prompts are mapped to their own high-dimensional space, helping the model navigate towards the desired image based on the prompt.

5. Influencing the Image: Factors like the random seed (initial starting point), the detail in the prompt, and the number of processing steps affect the final image produced.

6. Guidance Scale: This parameter controls how closely the model follows the prompt; a higher scale can lead to more focused but potentially unnatural images.

Overall, the process of generating an image from text involves navigating a complex space of possibilities, guided by the prompt and various parameters.

The text discusses a five-step process for effectively selling ideas, products, or policies, which has been utilized for over a century, first documented by Edward Bernays in his book Propaganda. The steps are:

1. Simplify: Reduce complex ideas to a simple message.
2. Emotional Appeal: Use powerful images to bypass critical thinking.
3. Authority: Support claims with endorsements from trusted figures.
4. Discourage Skepticism: Make questioning the claims feel morally wrong.
5. Act Quickly: Take action before facts can be verified.

Bernays used this framework to promote bacon as a breakfast staple and to increase cigarette sales among women by framing smoking as a symbol of liberation. He also helped create the diamond engagement ring tradition.

The text illustrates how these techniques have been applied beyond products, including in political contexts, such as justifying wars through emotional narratives and trusted authorities. An example is the manipulated testimony of a girl before Congress that helped justify the Gulf War, which turned out to be false.

The author reflects on the disturbing nature of this method, noting how the same strategies are used repeatedly in various contexts, including modern military operations and political rhetoric. The overarching message is that understanding this playbook can help individuals avoid being manipulated, yet it remains troubling how often it succeeds.

Summary of Ghosts’n Goblins – “Worse danger is ahead”

In June 1986, the Japanese magazine LOGiN launched a spin-off called Famitsu, initially focused on Nintendo's Famicom but later covering various gaming platforms. Famitsu is still active today, having published nearly 2,000 issues. The first issue featured a guide for the game Ghosts’n Goblins (Japanese: 魔界村), which became the top-selling game in Japan and the UK at the same time.

In the UK, computer games were much more popular than console games in 1986, leading to a different gaming experience compared to Japan, where the Famicom was dominant. Though many British gamers didn't play Nintendo games at home, they enjoyed playing arcade versions like Super Mario Bros. and Ghosts’n Goblins, thanks to various conversions by companies like Elite Systems.

Ghosts’n Goblins was developed by Tokuro Fujiwara at Capcom, mixing platforming, shooting, and beat-'em-up elements while aiming for a balance between challenge and fun. The game's difficulty was designed to keep players engaged and spending more in arcades. Various versions of the game were developed for home computers, with Elite Systems quickly converting it for platforms like Commodore 64 and ZX Spectrum.

The game and its narrative of a knight rescuing a kidnapped princess became iconic and were well-received in reviews, highlighting its engaging gameplay and unique aesthetic. Ghosts’n Goblins ended up being a classic, maintaining popularity in both Japan and the UK, influencing many future games with its difficulty and charm.

The article discusses the new features in Android 17 Beta 2. It highlights key updates and improvements that users can expect. The focus is on making the operating system better and more user-friendly. The summary includes visuals in a gallery format, showcasing these new features.

California has passed a new law requiring all operating systems, including Linux, to implement age verification during account setup. This law, known as Assembly Bill No. 1043, will take effect on January 1, 2027. It mandates that operating systems collect users' birth dates or ages to determine their age group for application access.

While this requirement may not involve extreme measures like facial scans, it has sparked concern, particularly within the Linux community. Some users believe enforcement will be difficult, suggesting that Linux distributions might label themselves as "not for use in California" to avoid compliance.

This move reflects a broader trend of governments seeking to enforce age verification, as seen in the UK's Online Safety Act, which has faced criticism over privacy issues. Overall, the California law highlights ongoing discussions about balancing user privacy with the need for age controls in digital environments.

Employees from Google and OpenAI are urging their leaders to unite against the Department of War's requests. They want to prevent the use of their AI technology for domestic surveillance and for autonomous killing without human control.

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The author shares their experience setting up new smartphones for their parents, highlighting the challenges posed by modern technology. As the tech-savvy family member, they handled the setup, which involved transferring data and logging into various accounts.

In the past, the author enjoyed customizing devices using advanced tools, but now, restrictions on Android have made that harder. They used built-in data migration tools and Samsung's Smart Switch, though they wished for a more ideal process.

Key actions taken include:

• Migrating data using Android's built-in method and Smart Switch.
• Logging into Google while avoiding extra accounts and telemetry settings.
• Uninstalling unnecessary apps and switching to Vivaldi Browser.
• Installing minimal additional apps like a password manager.

The author expresses concern about privacy issues, noting how their parents could unknowingly create accounts and accumulate data on cloud services, leading to subscription prompts for storage. They emphasize the broader implications of such practices on users' privacy and security, feeling overwhelmed by the control tech companies have over personal data.

The post concludes with a call for advice on smartphones that offer better privacy protection.

The author expresses a positive view of the Rust programming language, highlighting its versatility, strong tooling, and effective type system. However, they emphasize that Rust is just a tool and shouldn't define a programmer's identity or beliefs. They argue against blindly following community trends or attacking those who prefer other languages like C or Zig. The main message is to acknowledge that different programmers have varied preferences and skills, and it's important to accept this diversity in tool choice. The author concludes by offering their services for hire.

A boat carrying illegal migrants capsized on the Una River. Police were present at the scene.

Summary: Bootc and OSTree: Modernizing Linux System Deployment

This article discusses the tools Bootc and OSTree, which modernize the deployment and management of Linux systems.

1. Personal Journey: The author sought a way to manage Linux system configurations easily and consistently. Initially using Packer, they switched to NixOS, then to Fedora Silverblue for its immutable system benefits.

2. OSTree Overview: OSTree is likened to "Git for filesystems," allowing users to version, distribute, and deploy entire Linux system snapshots. It simplifies updates and rollbacks by managing complete system states rather than individual packages.

3. Key Features of OSTree:

   • Atomic Updates: Updates are applied all at once during a reboot.
   • Easy Rollback: Users can revert to previous system versions.
   • Version Control: All system changes are versioned for easy tracking.
   • Overlays: Allows certain directories to be writable, preserving local configurations during updates.

4. Package Management with rpm-ostree: This tool replaces traditional package managers and works with OSTree to manage packages. Changes are staged for the next boot, ensuring system consistency.

5. Bootc Introduction: Bootc allows users to deploy entire Linux systems as OCI container images, treating the operating system as an immutable image. This simplifies deployment and enhances reproducibility.

6. Integration of Bootc and OSTree: Together, they create a streamlined workflow for managing Linux systems. Bootc handles the creation and deployment of system images, while OSTree manages the underlying files and packages.

7. Deployment Example: The article explains how to create a Fedora Silverblue system image using Bootc, detailing steps to build and validate the image, and how to deploy it using a container image.

8. Automatic Updates: Bootc can check for new images and apply updates automatically, keeping systems consistent without user intervention.

9. Conclusion: Bootc and OSTree provide modern, efficient solutions for Linux system management, combining containerization and version control. The author expresses enthusiasm for further exploring these tools in future projects.

This summary highlights the main points about Bootc and OSTree, focusing on their functionality and the benefits they bring to Linux system deployment and management.

The text discusses flexible solar charge controllers that can switch between Maximum Power Point Tracking (MPPT) and Pulse Width Modulation (PWM) modes. These devices, along with battery management systems (BMS), are designed for lithium-ion batteries. They help optimize solar energy use and manage battery performance efficiently.

The Dutch Tax Authority has given control of its new VAT system to the American company FAST Enterprises, raising concerns about digital sovereignty due to the significant €1.5 billion in weekly VAT revenue. FAST Enterprises will not only provide software but also manage servers and maintenance from the US, leading to fears of losing local control—what some are calling "VAT-as-a-service."

The tender for this project was awarded without consideration of current geopolitical tensions, and although FAST was chosen over a competitor, SAP, there has been criticism regarding the decision-making process. A report highlighted insufficient preparations for the transition, and a court later upheld the award to FAST after a lawsuit from Capgemini.

This situation mirrors earlier controversies about digital sovereignty, particularly concerning the management of the DigiD system by Solvinity, which was acquired by the American company Kyndryl. Overall, there are serious concerns about the Dutch government's digital autonomy and the transparency of control over its tax systems.

The text criticizes major AI companies like Anthropic and OpenAI for claiming to prioritize AI safety while failing to address the broader societal impacts of their technologies. It argues that instead of investing in secure, private AI options (like on-device inference and homomorphic encryption), these companies are creating systems that enable mass surveillance and manipulation of users. The author believes that true AI safety would involve decentralizing AI deployment to prevent the concentration of power, which poses risks to society. In summary, the text emphasizes that both AI alignment and the way AI is deployed are crucial for ensuring safety and privacy.

Summary:

The Claude Code tool uses a context window to process data from various sources, but it can quickly fill up with raw outputs, leading to reduced efficiency. A new feature called Context Mode significantly reduces the amount of data stored in this context window, compressing 315 KB of data down to just 5.4 KB, allowing for more effective use of the context.

Key Points:

• Each tool interaction fills the context window, with high data costs: e.g., a Playwright snapshot takes 56 KB.
• With 81 tools, 143K tokens (72%) can be consumed before even sending a message.
• Context Mode isolates tool outputs in a sandbox, so only essential data enters the context, preserving memory.
• It supports multiple programming languages and securely handles authenticated commands without exposing sensitive information.
• The search tool efficiently indexes and retrieves exact code blocks without cluttering the context with raw data.
• Real-world tests showed that the output size can be drastically reduced, leading to longer session times (up to 3 hours instead of 30 minutes) and significantly more context remaining after use.

Installation: Two installation methods are available through a plugin marketplace or via MCP-only commands, making it easy to add this feature.

Purpose: The Context Mode was developed to improve efficiency in processing tool outputs, allowing users to work longer without context degradation. It is open-sourced for broader use.

For more information, you can check out the open-source project at github.com/mksglu/claude-context-mode.

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The blog post by Andrea Luzzardi discusses how an AI agent was given access to analyze billions of Continuous Integration (CI) log lines using SQL queries. Here are the key points:

1. AI Agent's Capabilities: The agent can quickly trace issues in CI logs by generating its own SQL queries, scanning through large datasets, and finding relevant information in seconds.

2. Data Handling: Each week, the system processes about 1.5 billion log lines, which are stored in ClickHouse, a database optimized for fast data querying.

3. SQL Interface: The agent uses a flexible SQL interface to explore data without limitations, allowing it to ask complex questions that may not have been anticipated during its design.

4. Query Patterns: The agent starts with broad questions about job metadata (like failure rates) and then narrows down to specific log lines (like error messages), often scanning millions of rows in the process.

5. Data Structure: The logs are denormalized to include extensive metadata, which helps with fast querying and compression in storage. This approach allows for efficient data retrieval and minimizes the need for complex joins.

6. Performance Metrics: The blog details the performance of the agent, noting that job metadata queries are very fast (around 20ms), while raw log queries take longer (around 110ms). The agent can handle large queries efficiently, with some scanning over a billion rows.

7. Ingestion Challenges: The agent faces challenges with GitHub's API rate limits, which restrict the number of requests. They implemented throttling to manage this, ensuring that the agent receives fresh data without hitting the limits.

8. Traffic Management: The system is designed to handle burst traffic during peak CI activity, maintaining a steady processing rate and keeping ingestion delays low.

9. Durable Execution: The ingestion pipeline is built to pause and resume smoothly when hitting rate limits, avoiding issues with retries and maintaining progress without duplicates.

In summary, the blog describes how they built a sophisticated AI system to analyze CI logs effectively, addressing challenges related to data ingestion, querying, and performance management.

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In the U.S., the use of cash is declining, with electronic payments becoming more common. This shift has led to increased automation in cash handling. Historically, banking relied on manual processes, but as technology advanced, operations like check processing became automated, notably with the introduction of IBM's ERMA system in the 1950s.

Automated Teller Machines (ATMs) emerged in the 1960s, initially using tokens to dispense cash rather than verifying account balances in real-time. The first modern ATM, IBM's 2984 Cash Issuing Terminal, was introduced in 1971, allowing users to withdraw cash using a magnetic card and PIN. While it had some success, the 2984 was ultimately overshadowed by other ATMs due to its high cost and lack of flexibility.

Later models, like the IBM 3614 and 3624, were more successful, introducing features such as envelope deposits and receipts. These models established many conventions still used in ATMs today, including how PINs are processed. However, IBM's later ATM series, such as the 4732, struggled in the market due to compatibility issues and competition from more flexible offerings by other manufacturers like NCR.

Ultimately, IBM exited the ATM market but left a lasting legacy in banking technology, including contributions to cryptography and the design of modern ATMs.

On February 27, 2026, Secretary of War Pete Hegseth announced that the Department of War will classify Anthropic as a supply chain risk. This decision comes after failed negotiations regarding two exceptions related to the use of their AI model, Claude: mass domestic surveillance of Americans and fully autonomous weapons. Anthropic believes these exceptions do not currently impact any government missions and insists they support lawful AI use for national security.

Anthropic argues that designating them as a supply chain risk is unprecedented and legally questionable, as it has only been applied to US adversaries before. They are committed to opposing any such designation in court. Hegseth suggested that this classification would restrict companies working with the military from using Anthropic's services, but Anthropic contends that this is not legally supported.

For customers, access to Claude remains unaffected for individual users and commercial contracts. If you are a contractor for the Department of War, the designation would only impact your use of Claude for Department-related work, not for other purposes. Anthropic is dedicated to supporting its customers during this situation and maintaining operations for American military efforts.

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The text provides links related to the topic of scaling AI for everyone. It includes links to OpenAI's website and social media statuses. The main focus is on making AI more accessible and usable for a wider audience.

The article discusses how artificial intelligence (AI) is impacting junior developers in the tech industry. It suggests that AI tools are becoming so advanced that they can perform tasks that junior developers typically handle, making their roles less essential. As a result, companies may prefer to rely on AI instead of hiring or investing in junior talent. This shift could lead to fewer job opportunities for new developers and change the way the industry values entry-level positions.

The text discusses how the tech industry limits consumer choices and profits from it, often leaving users feeling frustrated and powerless. The author repeatedly asks why certain features or content are unavailable, and the answer often boils down to corporate decisions that prioritize profit over user satisfaction, captured in the phrase, "because fuck you."

Key points include:

1. Lack of Justification: The tech industry provides explanations for decisions, but these often lack real justification, revealing a disconnect between corporate actions and user needs.

2. Dependency Over Satisfaction: Companies prefer to create dependency on their products rather than ensuring customer satisfaction. This makes it harder for users to switch to alternatives.

3. Examples of Frustration: The text highlights various instances where useful features were removed or restricted (like sideloading on iOS), often under the guise of safety or user benefit, but the real motivations are usually financial.

4. Accessibility Failures: There is a significant gap in making technology accessible to users with disabilities, often due to indifference rather than malice, leading to products that fail to meet their needs.

5. Corporate Apathy: Many companies create systems that absorb complaints without leading to real change, leaving users feeling unheard.

6. Ineffective Consumer Action: Individual complaints and social media outcries rarely result in meaningful changes; instead, regulation and competitive pressure tend to drive improvements.

The author calls for greater honesty from tech companies about their motivations, emphasizing that many choices are made without considering the user, leading to a systemic issue that requires political and regulatory solutions to address.

The text appears to be a description of a mapping tool created by Ryan and David, which displays various events and overlays related to different categories such as conflict, politics, humanitarian issues, economics, and disasters. Users can choose to view events based on their severity and can switch between different map styles, including dark, light, satellite, and 3D views. The tool also includes options to view current events, weather, pipelines, military bases, energy resources, minerals, and internet infrastructure.

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In February 2026, the International Data Corporation (IDC) reported that global smartphone shipments are expected to decline by 12.9% from the previous year, reaching 1.1 billion units, marking the lowest level in over ten years. This decline is largely due to a significant memory shortage affecting the entire consumer electronics market.

IDC executives explained that this issue is not just temporary; it will lead to major changes in the smartphone market. Lower-end smartphone manufacturers will be hit hardest, facing increased costs that they will likely pass on to customers. In contrast, major companies like Apple and Samsung are better positioned to cope with these challenges and may gain market share as smaller competitors struggle.

The memory crisis will cause a long-term shift in the market, resulting in fewer low-cost smartphones available, with prices rising significantly. The regions most affected will be those with a high number of low-end devices, particularly the Middle East and Africa, which may see a drop of over 20%.

While a slight recovery is expected by 2027, the market will not return to its previous state, indicating a permanent change in how smartphones are produced and sold.

The text discusses insights from a recent AI meetup attended by the author, where experts shared their thoughts on the future of AI and its impact on society and work. Key points include:

1. AI Socratic Dialogue: The meetup featured open discussions on AI's influence, focusing on new technologies like OpenClaw and their implications for human roles in an increasingly automated world.

2. Human Identity: Attendees debated the future of human work and identity in an AI-first society, with the author suggesting that community will remain vital for fulfillment, even if work becomes less central.

3. AI Alignment Concerns: A significant worry is ensuring that superintelligent AIs will prioritize human existence and values. Misaligned objectives could lead to harmful outcomes.

4. Changing Software Paradigms: The author argues that intelligence is becoming a commodity, and success in the AI landscape will depend on providing the right context for AI applications. The focus will shift from traditional software to adaptive agents that can modify their behavior based on context.

5. Future Value Capture: The author believes that value in the AI industry will come from layers that connect and provide context for AI models, rather than just hardware or software from major players like Nvidia or ChatGPT.

Overall, the piece reflects on the transformative potential of AI and the necessity to align AI systems with human needs while adapting to new software development paradigms.

György Kurtág, a celebrated Hungarian composer, was recently awarded an honorary doctorate by the Liszt Ferenc Academy of Music in Budapest to honor his lifetime achievements. As he turns 100, cellist Steven Isserlis reflects on their long friendship and Kurtág's unique teaching style, which blends intense passion for music with imaginative imagery.

Isserlis recalls their first meeting over 40 years ago, noting Kurtág's fervent personality and distinctive way of communicating. Their musical collaboration has been transformative for Isserlis, as Kurtág provides deep insights into his compositions, often using vivid metaphors and animal imagery to convey meaning. Despite the loss of his wife, Márta, Kurtág remains active in composing and teaching, showing remarkable mental clarity.

Kurtág is revered in the music community, often seen as a guiding figure. He continues to inspire musicians with his energy and creativity. Concerts celebrating his 100th birthday will feature his works across various cities, showcasing his enduring influence in classical music.

The text discusses the importance of sandboxing untrusted code, especially in contexts like AI agents and multi-tenant platforms. Here are the key points:

1. Isolation Techniques: Different methods of isolating code include Docker containers, microVMs, and WebAssembly, each offering varying levels of security and performance. They differ in how they control access to the host system's resources.

2. Shared Kernel Risks: Most isolation methods still rely on the same Linux kernel, which can expose all containers to vulnerabilities if there's a bug in the kernel.

3. Namespaces: Used in Docker to create isolated environments, namespaces only restrict visibility and do not prevent exploitation if the kernel is compromised.

4. Cgroups: Manage resource usage for containers (like CPU and memory) but do not provide true security isolation.

5. Seccomp: A filtering mechanism that limits the syscalls a process can make, reducing the attack surface but not eliminating risks associated with kernel vulnerabilities.

6. gVisor: Uses a separate user-space kernel to handle syscalls, providing a better isolation model than standard containers by creating a distinct attack surface.

7. MicroVMs: Offer the strongest isolation by using hardware virtualization, giving each workload its own kernel and protecting against escapes to the host.

8. WebAssembly: Runs code in a memory-safe environment without kernel access, relying on explicit permissions for interactions, making it a secure option for trusted code.

9. Trade-offs: There are performance and security trade-offs between these methods. gVisor provides good compatibility with some overhead, while microVMs offer stronger security at the cost of higher resource use.

10. Local Sandboxing: On developer machines, approaches focus on OS-level permissions to prevent untrusted code from accessing sensitive information or making unwanted network calls.

Overall, the text emphasizes that effective isolation requires careful consideration of the chosen method based on the specific threat model and performance needs.

The U.S. Court of Appeals for the Tenth Circuit has ruled in favor of protesters' rights by overturning a lower court's dismissal of a case involving broad search warrants used by Colorado Springs police. The case, Armendariz v. City of Colorado Springs, began after a 2021 housing protest where police arrested protesters. They sought warrants to search the devices and social media data of Jacqueline Armendariz Unzueta, who was accused of throwing a bike during the protest. The warrants allowed police to access a wide range of her personal data and also searched the Facebook page of the Chinook Center, the organizing group, despite it not being accused of any crime.

The district court initially dismissed the lawsuit, claiming the searches were justified and that officers had qualified immunity. However, the Tenth Circuit found the warrants overly broad and lacking specific details, ruling that the police violated established law and thus could not claim immunity. This decision is significant as it challenges police search warrants and supports the rights of protesters and individuals concerned about their privacy. The case will now return to the district court for further proceedings.

The article emphasizes the importance of not trusting AI agents, treating them as potentially harmful. It suggests that rather than relying on permission checks or allowlists, developers should design systems that assume agents may misbehave and contain any resulting damage.

Key points include:

1. Security Architecture: The author discusses how NanoClaw is built on the principle of isolation, where each agent runs in its own container. This prevents agents from accessing each other’s data, ensuring better security.

2. Container Isolation: Unlike OpenClaw, which shares a container among agents, NanoClaw uses separate containers for each agent, limiting their access and preventing data leaks.

3. Limited Trust: The article stresses that not only should agents not be trusted, but also the environments and other agents they interact with. Non-main groups are treated as untrusted by default.

4. Simplicity in Code: NanoClaw’s codebase is small and manageable, making it easier to review and audit for security. This contrasts with OpenClaw's large and complex codebase, which is harder to secure.

5. Focus on Security: The security model of NanoClaw is designed to mitigate risks from agent misbehavior, employing strategies like container isolation and strict filesystem controls to ensure that any potential issues are contained.

In summary, the article advocates for a security-first approach when integrating AI agents, prioritizing isolation and simplicity to minimize risks.

This blog post discusses the author's journey in creating a comprehensive guide to SDF (signed distance field) fonts.

• In 2024, the author began exploring SDF font rendering for projects like a game and a map generator but paused due to a lack of understanding.
• By late 2025, the author noticed that their incomplete notes ranked high in search results for SDF fonts and decided to improve the content.
• They initially had an overview page and many diary-style entries, but realized the scope was too broad and narrowed it down to focus on the msdfgen library.
• The author created diagrams and ran tests to compare different parameters for SDF fonts but eventually shifted to a "how to" format, prioritizing clarity and usability over detailed technical commands.
• After several redesigns, the final page emphasizes understanding SDF concepts and their applications, rather than just implementation details. The author is now satisfied with the outcome and hopes it gains visibility on search engines.

Summary of "Allocating on the Stack"

The Go programming team has been working on improving the speed of Go programs by reducing memory allocations from the heap, which are slower and create extra work for the garbage collector. Instead, they are focusing on stack allocations, which are faster and do not burden the garbage collector.

Key points include:

1. Heap vs. Stack Allocations: Heap allocations are complex and slow, while stack allocations are simpler, faster, and automatically cleaned up when the function exits.

2. Slice Management: When creating slices (dynamic arrays) in Go, the initial size can lead to multiple allocations if the size needs to increase. For example, if you start with a slice and keep adding items, it may perform several reallocations until it can fit all items.

3. Optimizations in Go 1.25 and 1.26:

   • Go 1.25 allows for stack allocation of small slices, making processes more efficient if the expected size is small.
   • Go 1.26 further enhances this by allowing for stack allocations directly at the point of appending items, which significantly reduces unnecessary allocations.

4. Handling Escaping Slices: If a slice needs to be returned from a function, it normally cannot be allocated on the stack. However, the compiler in Go 1.26 can optimize this by allocating a small buffer on the stack and only moving to heap allocation when necessary, minimizing overhead.

5. Conclusion: While manual optimizations can still help, the compiler has become more capable of making smart decisions to improve performance, allowing developers to focus on more critical optimizations.

Overall, upgrading to the latest version of Go can lead to significant performance improvements in memory management and execution speed.

The creator built a tool called unf after losing hours of work due to accidentally pasting a prompt in the wrong terminal. They wanted a solution that automatically saves every file version, allowing easy restoration to any previous point in time.

unf is a background program that watches specified directories and saves snapshots of text files every time they are modified. It uses SQLite to track file metadata and offers a command-line interface (CLI) for querying and restoring versions. There’s also a user interface to explore the file history visually.

Key features include:

• It only tracks text files and ignores binary files and those specified in .gitignore.
• The commands resemble Git commands, making it user-friendly for those familiar with Git.
• The daemon uses systems like FSEvents on macOS and inotify on Linux to detect changes and manage file versions efficiently.

A secondary watchdog process ensures the main daemon runs smoothly and can restart if it crashes, adding a layer of reliability.

The creator enjoys the UI feature that allows viewing file changes over time and finds the CLI commands useful for various tasks, such as checking previous configurations or comparing file changes.

To install and use unf, you can run:

brew install cyrusradfar/unf/unfudged

Then, use unf watch in your desired directory for monitoring changes. Additional help is available using unf help.

For those interested in the source code, it will be available on GitHub.

Myrient, a large online video game archive with 390TB of data, will shut down on March 31, 2026. The creator cites insufficient funding, rising costs of RAM, SSDs, and hard drives, and issues with abusive download managers as reasons for the closure. Despite receiving donations, the monthly expenses exceed $6,000, making it unsustainable. Additionally, some users have exploited the site for profit, bypassing donation prompts and protections. While the archive will be offline, its Discord and Telegram channels will remain active for gamers to discuss preservation efforts. Users are encouraged to download content before the shutdown.

RetroTick is a tool that allows you to run classic PC games like FreeCell, Minesweeper, Solitaire, and QBasic directly in your web browser. It works by interpreting certain types of program files and simulating an x86 CPU, along with basic Windows and DOS functions. The project is built using Preact, Vite, and TypeScript. You can try it out at retrotick.com and find the code on GitHub.

The article "The Normalization of Corruption in Organizations" by Blake E. Ashforth and Vikas Anand discusses how corruption becomes accepted and routine within organizations, often at a societal cost far greater than street crime. The authors identify three key processes that contribute to this normalization:

1. Institutionalization: Corrupt actions become embedded in an organization's structures and processes, making them routine and often unexamined by employees.

2. Rationalization: Individuals create justifications for engaging in corruption, viewing their actions as acceptable or even commendable within the organizational context.

3. Socialization: New employees are taught to accept and participate in corrupt practices, often without realizing the moral implications.

The article emphasizes that corruption is not just the act of a few "bad apples," but a collective issue where systems and individuals reinforce each other. It highlights real-world examples, such as corporate scandals, to illustrate how corruption can thrive in organizations, often unnoticed and unchallenged. The authors argue that organizational culture, leadership, and established practices play significant roles in facilitating corruption, leading to a situation where ethical standards are compromised for the sake of business goals.

Overall, the study aims to explain how corruption becomes a normalized behavior in organizations, suggesting that it can persist over time and across employee changes, making it a systemic issue rather than merely an individual one.

The Norwegian Consumer Council's report "Breaking Free: Pathways to a Fair Technological Future" explores the issue of "enshittification," which refers to the decline in quality of digital products and services. The report highlights its negative impact on consumers and society but also suggests that change is possible. To address this, the Council, along with over 70 consumer groups from Europe and the US, is reaching out to policymakers in the EU/EEA, UK, and US through letters advocating for improvement.