In September 2025, the author discussed their experience building a Raspberry Pi Compute Blade cluster, which they ordered in April 2023. After waiting two years, they received the hardware and upgraded to 10 modules of the new Raspberry Pi CM5, totaling 160 GB of RAM. The build cost around $3,000.

They noted that this cluster is less powerful than more expensive alternatives, like an $8,000 Framework Desktop cluster, but it performs well in terms of energy efficiency. The author ran benchmarks and found the cluster achieved up to 325 Gflops, which is about four times faster than the Framework cluster, though less cost-effective for high-performance computing (HPC) applications.

The cluster also tested AI capabilities, but it struggled with performance. Running AI models was slow, showing that while the cluster is efficient and compact, it’s not powerful enough for serious AI tasks compared to other options. The author concluded that the cluster is best suited for specific use cases like CI jobs or secure edge deployments, rather than being a general-purpose solution.

The blog post also included a detailed parts list for those interested in replicating the setup. Overall, the author expressed mixed feelings about the cluster's value, indicating it may not be the best choice for most users.

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No summary available.

Ellen, a long-time member of the Ruby community and a maintainer of RubyGems, is speaking out about recent troubling events involving Ruby Central. From September 9 to September 19, 2025, a maintainer of RubyGems made significant changes without warning, including renaming the GitHub enterprise to "Ruby Central" and removing all other maintainers. These actions were described as a "hostile takeover," as they undermined the governance of RubyGems. Although some changes were reverted after backlash, Ruby Central continued to exert control by revoking access to important resources.

Ellen believes Ruby Central's actions pose a threat to the Ruby community and demonstrates a lack of good faith. As a result, she has resigned from Ruby Central, stating that they unilaterally revoked access to RubyGems against her wishes and those of the RubyGems team.

This tool creates a fake-looking malicious link from any URL you provide. It works by redirecting users to the original link but makes it appear suspicious or "phishy." You can choose a theme for the link, such as crypto, finance, or dating, and select the desired length for the URL. After inputting your link and preferences, you can generate the phishy URL.

Summary of "Show the Physics"

This book offers a collection of 99 engaging physics demonstrations sourced from the Dutch series “ShowdeFysica.” It aims to be a valuable resource for physics teachers, providing insights into making demonstrations both fun and educational. The demonstrations are categorized into four groups:

1. Nature of science
2. Scientific inquiry
3. Conceptual development
4. Special occasions

The book is designed to help teachers easily find demonstrations relevant to their lessons, making it easy to integrate physics demonstrations into every class. It also includes videos and interactive Python coding examples that can be run directly in the browser, enhancing the learning experience without needing extra software.

The demonstrations have been tested for effectiveness by experienced physics teachers, and while they are mostly inspired by existing experiments, they include questions for checking student understanding. The book encourages contributions from readers for improvements and is shared under a Creative Commons license for non-commercial use.

Overall, "Show the Physics" aims to inspire teachers and engage students by showcasing the beauty of physics through practical demonstrations.

Summary of isingLenzMC Package:

The isingLenzMC package is a tool for simulating the Classical Ising Model, which is important in the study of physics, particularly in understanding magnetic materials and phase transitions. This package allows users to simulate a one-dimensional Ising Model using two methods: Metropolis and Glauber Monte Carlo, with periodic boundary conditions. It also includes functions for calculating exact solutions. The package has been released on CRAN and is related to research on spin dynamics and anomalous diffusion.

Summary:

Ryan Dahl is asking for help to raise $200,000 to challenge Oracle's trademark on "JavaScript." Over 27,000 people have supported this cause, leading to a formal petition filed with the US Patent and Trademark Office. If successful, "JavaScript" will become public domain, allowing everyone to use it without legal concerns.

The funds will be used for essential legal expenses during the discovery phase, which includes gathering evidence, hiring expert witnesses, and countering Oracle's claims. Any leftover money will be donated to OpenJS to support digital civil liberties.

Oracle recently argued that "JavaScript" is not a generic term, but many developers believe it should be. The outcome of this case is crucial not just for JavaScript, but for the integrity of trademark law itself. If Oracle wins, it could set a precedent that allows companies to control commonly used terms. Supporters are encouraged to donate and spread the word.

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No summary available.

Summary of User Interface Design Rules

Creating attractive user interfaces can be challenging, but following some key rules can simplify the process. Here are the main points:

1. Focus on Alignment and Consistency: Good design hinges on properly aligning elements and ensuring they look consistent across the interface. Small misalignments or inconsistencies can detract from the user experience.

2. Use Component Libraries: It's beneficial to use pre-made component libraries like HeroUI instead of creating custom components. This helps maintain a uniform look across your app.

3. Limit Customization: Stick to the components provided by the library as much as possible. Avoid making adaptations that can lead to inconsistencies.

4. Make Consistent Choices: Decide on a limited set of components, styles, and colors (e.g., two font weights, two text colors) to ensure a cohesive design.

5. Define Project-Specific Rules: Maintain a document outlining design rules for your project to streamline decision-making and enhance consistency.

6. Prioritize User Goals: Consider what users need to achieve and remove unnecessary elements to create a cleaner interface.

7. Embrace Imperfections: It’s better to accept minor flaws in library components than to sacrifice overall consistency for local perfection.

In summary, prioritize consistency in your UI design over perfecting individual elements to create a more enjoyable user experience.

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Summary: The Ruliology of Lambdas

What Are Lambdas? Lambdas refer to a fundamental concept in computation, introduced by Alonzo Church in the 1930s. They represent "pure functions" that can be applied to arguments to produce values. In programming languages like Wolfram Language, lambdas can be expressed using the Function construct. They are capable of representing various mathematical and computational concepts, including integers through "Church numerals."

Using Lambdas Lambdas can perform operations through a process called beta reduction, which involves substituting an argument into a lambda's body. This can lead to complex behaviors, especially when lambdas are nested within each other. Managing variable names is crucial, and techniques like alpha conversion (renaming variables) are often necessary to avoid confusion.

Key Operations with Lambdas

• Beta Reduction: The main operation that evaluates lambdas by substituting arguments.
• Alpha Reduction: Renaming bound variables.
• Eta Reduction: Simplifying expressions to remove unnecessary functions.

Computational Representation Lambdas can represent common computations, such as arithmetic operations and factorials, all defined purely through their structure without predefined functions. Evaluating these computations involves complex sequences of beta reductions.

In summary, lambdas are a powerful yet abstract way to perform computations, encapsulating the essence of functional programming through their use of pure functions and structural representation.

Dynamo AI is creating secure and scalable AI systems for businesses. Their platform allows companies to safely use powerful AI models with a focus on reliability and trust. They are looking for a Senior Kubernetes Engineer to help onboard enterprise customers, ensuring successful deployment of their AI clusters in customer environments.

In this hands-on role, you will work closely with customers, using tools like Kubernetes and Helm to deliver secure AI systems. You'll collaborate with various teams to integrate customer feedback into product development. This position requires U.S. government security clearance or U.S. citizenship and involves working in the office in San Francisco or New York 2-3 days a week.

Key Responsibilities:

• Engage with customers to understand their needs and deploy Dynamo AI into their systems.
• Enhance core infrastructure for better performance and security.
• Develop models for automated and scalable deployments.
• Collaborate with teams to create features that improve AI system protection.
• Build strong relationships with customers as a trusted expert.

Qualifications:

• Ability to work quickly in a fast-paced setting and focus on customer success.
• Deep knowledge of Kubernetes, Helm, and cloud platforms (AWS, Azure, GCP).
• 4+ years of experience in solution architecture or cloud engineering.
• 2+ years of experience working directly with customers.
• Familiarity with security systems and strong communication skills is essential.
• Experience in AI/ML infrastructure is a plus.

Google is introducing a new Android developer verification system that will link developers' identities to apps, even those sideloaded from outside the official app store. This change aims to enhance security by preventing the installation of apps from unverified sources. One concern is that users may need an active internet connection to install verified apps, as the system checks for developer authenticity online. This could create problems for users in areas with limited connectivity, especially if they have already downloaded an app but cannot verify it offline. Although this issue may affect only a small number of users, it has raised significant concerns among Android fans. The full impact of this verification system will be seen in the coming year as developers start to register.

The author expresses frustration after updating their iPhone 13 mini to iOS 26, noting that it now runs poorly compared to the previous version. They feel that the performance issues may suggest that Apple is pushing users to buy new phones. The author is also cautious about updating their laptop to macOS 26, preferring to wait until absolutely necessary.

The Leatherman was a mysterious vagabond who lived in the northeastern United States between 1857 and 1889. He is known for wearing a unique handmade leather suit and walking a regular 365-mile route between the Connecticut and Hudson Rivers. His true identity remains unknown, but he was believed to be of French-Canadian descent due to his language skills and a French prayer book found with him after his death.

He lived in rock shelters and made regular stops in towns for food and supplies, often relying on the kindness of locals who recognized him and prepared food for him. The Leatherman communicated minimally, preferring gestures and monosyllables, and was reported to have a Catholic background.

He managed to survive harsh weather conditions and was known for his resilience. The Connecticut Humane Society once hospitalized him, but he was released due to his desire for freedom. He died from mouth cancer in 1889 and was found in a cave in New York.

There is ongoing controversy regarding his identity, with some associating him with the name Jules Bourglay, but this has not been confirmed. His grave, initially marked with a name, was relocated and now simply reads "The Leatherman." His life has inspired songs, documentaries, and references in popular culture.

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No summary available.

A new analysis from researchers at the Colorado School of Mines reveals that the U.S. already produces the critical minerals needed for energy, defense, and technology applications, but many of these minerals are currently discarded as waste. This includes valuable minerals like cobalt, lithium, and rare earth elements. The lead author, Elizabeth Holley, emphasizes the need for improved recovery methods to make extracting these minerals economically viable.

The study found that by recovering a small percentage of these minerals from existing mines, the U.S. could significantly reduce its reliance on imports. For instance, recovering just 10% of the cobalt from nickel and copper mining could satisfy the entire U.S. battery market, and recovering less than 1% of germanium from zinc and molybdenum mines could eliminate the need for imports of that mineral.

The researchers suggest that better policies and technologies are needed to incentivize mining companies to recover these minerals and minimize environmental waste. The article highlights the potential economic, geopolitical, and environmental benefits of enhanced mineral recovery.

Summary:

The text discusses the feature "apple_ssh_and_filevault," which relates to how macOS handles SSH (Secure Shell) access when FileVault is enabled. FileVault locks the data volume during boot until a user enters their password. Normally, this means SSH configurations are not accessible. However, if Remote Login is turned on, users can unlock the data volume remotely via SSH. After unlocking, SSH will briefly disconnect while macOS finishes mounting the data volume and starting necessary services. This feature was introduced in macOS 26 Tahoe.

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A US court has ruled that the National Science Foundation (NSF) can proceed with canceling over 1,700 research grants, totaling around $1 billion. This decision, made by Judge Jia Cobb, denies requests from researchers and universities to reinstate the grants during ongoing legal challenges. The NSF had canceled these grants after changing its funding priorities to avoid projects that favor certain groups, particularly those focusing on diversity and inclusion.

The plaintiffs argue that the NSF's actions were unjust and harmful to research efforts, but the judge stated that they did not prove the level of harm needed for immediate relief. Although the court did not reinstate the canceled funds, the plaintiffs can still challenge NSF’s new grant policies in future claims.

This situation has left many research projects in limbo, affecting students and labs, with some universities attempting to provide alternative funding. Meanwhile, other countries, like France, are offering support to American researchers facing disruptions.

No summary available.

No summary available.

Summary: JIT Compilation for a Stack Machine Using SLJIT

On September 16, 2025, the author explored Just-In-Time (JIT) compilation for a stack-based virtual machine (VM) called uxn, motivated by high CPU usage during live bytebeat editing. They developed a new version of the bytebeat program that allows for real programming features with hot reloading.

Key Steps in the JIT Process:

1. Execution Replacement: The goal was to replace the bytecode execution function (buxn_vm_execute) with a JIT version (buxn_jit_execute).
2. Static Tracing: The JIT compiler analyzes the code to determine which bytecode needs compilation.
3. Using SLJIT: The SLJIT library was chosen for its simplicity, allowing the generation of portable assembly code.
4. Caching JIT Code: Once a block of code is compiled, it's stored in a cache for future use to improve execution speed.

SLJIT Overview:

• SLJIT provides functions to emit assembly instructions for operations like arithmetic and memory access.
• It manages registers and handles jumps, making the assembly generation straightforward.

Challenges Addressed:

1. Register Management: The author used enums for keeping track of saved and scratch registers, and employed bitmaps for tracking register usage.
2. Dynamic Jumps: They implemented trampolines to handle function calls and jumps that could change at runtime.
3. Performance Optimization: Initial performance gains were limited, so further optimizations were necessary, focusing on branch prediction and memory access efficiency.

Optimizations Implemented:

• Call Optimization: Identifying static calls to reduce memory access.
• Stack Access Elimination: Minimizing memory access by caching operands and reducing unnecessary load/store operations.
• Reference Counting for Registers: Instead of a simple bitmap, they switched to reference counting to keep track of register usage across instructions.

Additional Features:

• Support for Special Modes: Managed short and keep modes for operands to enhance flexibility.
• Inlined Trampolines: Integrated trampolines into JIT functions to streamline execution.

Conclusion: After multiple optimizations, the JIT implementation resulted in a 30-46% speedup compared to the interpreter, demonstrating that while JIT compilation isn't a cure-all, thoughtful application can yield significant improvements in performance for stack machines.

Farhan Hossain describes how his team quickly developed and shipped 100 units of a voice assistant called Blue, which operates through a small USB-C device named Bud. They completed this task in just 55 days for Y Combinator's Demo Day.

Key points include:

• Blue allows users to control apps on their phones through voice commands, making tasks hands-free.
• The project started on July 14 and had a deadline of September 7, with the goal of producing 100 identical, functional units.
• The team used a structured approach with parallel workstreams, focusing on reliability and simplicity in design, using one printed circuit board and one enclosure.
• They progressed through various stages, including prototypes and testing, while ensuring effective communication with their manufacturing partner in Taiwan.
• Ultimately, they successfully delivered the 100 units, which were quickly sold out, and they plan to produce around 500 units by November 2025.

This process highlighted the importance of clear goals, efficient teamwork, and decisive decision-making.

No summary available.

A nonprofit called Hack Club has been using Slack for nearly 11 years to communicate. Recently, Slack suddenly demanded that they pay an extra $50,000 this week and $200,000 annually or else face deactivation of their workspace and deletion of all message history. This short notice has caused chaos for Hack Club, affecting their programs and requiring them to scramble to update systems and migrate important data.

Fortunately, Slack's CEO reached out and offered a better solution, which Hack Club appreciates. This situation has highlighted the importance of owning data, and Hack Club plans to switch to Mattermost for better control. They encourage other small businesses to consider doing the same.

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The item or situation is almost completely unusable.

Summary of LLaMA Factory Overview

LLaMA Factory is a tool used by major companies like Amazon and NVIDIA, designed for developers to easily fine-tune over 100 large language models (LLMs) without coding. It supports MacOS, Linux, and Windows, and offers a user-friendly interface.

Key Features:

• No-Code Options: Users can fine-tune models through a command line interface (CLI) or web GUI.
• Supported Models: Includes various models like LLaMA, Mistral, Qwen, and many others.
• Training Methods: Supports multiple training approaches, including full-tuning, LoRA, and reward modeling.
• Advanced Algorithms: Incorporates state-of-the-art techniques for efficient training and inference.
• Experiment Tracking: Offers tools like TensorBoard and Wandb for monitoring experiments.

Getting Started:

• Users can find documentation and tutorials online for installation and initial setup.
• Options for training include using local machines, cloud services, and pre-built Docker images for easy deployment.

Community and Support:

• Users are encouraged to join online groups for support and collaboration.
• The platform is continuously updated with new features and supported models.

Licensing: The software is under the Apache-2.0 License, and users must adhere to the respective licenses for different models.

For more detailed help, users can refer to the comprehensive documentation available on their website.

Summary:

Google's new initiative, "Learn Your Way," aims to revolutionize education by using generative AI (GenAI) to create personalized, interactive textbooks. Traditional textbooks are often too rigid and do not cater to individual learning styles. The research shows that using GenAI can generate various representations of content tailored to students' interests and grade levels, enhancing their learning experience.

Key features of Learn Your Way include:

• Personalized Content: Textbooks can be modified to include examples relevant to students' interests.
• Multimodal Learning: Students can access content through different formats like text, quizzes, audio lessons, and mind maps, promoting active engagement.
• Improved Learning Outcomes: A study found that students using Learn Your Way scored 9% higher on immediate tests and 11% higher on retention tests compared to those using traditional digital readers.

The interface is designed to help students choose how they learn best, providing real-time feedback and assessments. The initiative is still in its early stages, but it shows promise for making learning more engaging and effective by tailoring education to individual needs.

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Here's a simplified summary of the text:

If you've ever wanted to experience Minecraft without using the official game, this guide will show you how to do it using alternative software.

Key Points:

1. What You'll Need:

   • A computer with 64-bit architecture, 4+ processor cores (900 MHz or faster), and at least 4 GB of RAM.
   • An OpenGL-capable graphics card is also recommended.

2. Software Required:

   • Cuberite Server (C++): This is a custom Minecraft server similar to version 1.12.2.
   • ViaProxy (Java): This software helps connect different versions of clients and servers.
   • Minosoft Client (Kotlin): This is the client you will use to play.

3. Installation Steps:

   • Cuberite Server: Download it from the Cuberite website, run it, and keep it open. Your server will run on your local machine.
   • ViaProxy: Download the latest version from GitHub and run it. Configure it to connect to your Cuberite server.
   • Minosoft Client: Download the latest build from GitHub and run it using Java 17.

4. Launching the Game:

   • Create an account in Minosoft and set it up to connect to your Cuberite server.
   • Use the server details from ViaProxy to connect and start playing.

5. Troubleshooting:

   • If you can't connect, check the Cuberite settings. Change “Authenticate=1” to “Authenticate=0” in the settings file to fix login issues.

Congratulations! You can now play Minecraft using these custom tools.

Nvidia and Intel, typically competitors, have announced a surprising partnership to develop new x86 processors. This collaboration will create Intel CPUs integrated with Nvidia RTX graphics, aimed at the consumer gaming market under the name 'Intel x86 RTX SOCs'. Nvidia is also investing $5 billion in Intel, acquiring about 5% of its stock.

The new products will leverage the NVLink interface for better CPU-GPU communication, enhancing performance compared to traditional methods. These integrated chips are expected to compete directly with AMD’s offerings and are designed for lightweight gaming laptops and compact PCs.

Intel will also produce custom x86 data center CPUs for Nvidia, which will help improve performance in enterprise settings. While this partnership is still in its early stages, it signifies a major shift in the tech landscape, combining Nvidia's GPU leadership with Intel’s CPU experience.

Both companies have promised to maintain their existing product roadmaps while working on these new developments. The timeline for product releases is not yet clear, but they are expected to take at least a year to reach the market.

The author has switched to using KDE as their desktop environment for their gaming PC, primarily for its user-friendliness for non-gaming tasks. They have found KDE to be feature-rich and comparable to both Windows and macOS.

Key points include:

• Comprehensive Features: KDE offers tools that provide detailed network information and easy sharing options, like a QR code for Wi-Fi details.
• Integrated Tools: It includes built-in functions for managing permissions for apps, checking hardware status, and controlling power settings without needing extra software.
• Speed: The author finds KDE faster than Windows 11, especially for system settings, and compares it favorably to their MacBook Pro.
• Customization: KDE allows for extensive window management and personalization, although the author encountered a minor issue with the taskbar setup initially.
• Overall Enjoyment: After a week of using KDE, the author appreciates the overall experience and commends the developers for their work.

Summary of Flipper Zero Geiger Counter Module (August 4, 2025)

The Flipper Zero Geiger Counter Module allows users to measure radioactivity using various compatible apps. Here are the key features:

1. Apps and Firmware:

   • Recommended firmware: Unleashed and Momentum.
   • The Geiger counter app displays radioactivity in counts per second (CPS) and counts per minute (CPM), with options for recording and changing measurement units.

2. Measurements:

   • It can measure ambient radioactivity and specific samples, like uranium ore and radium dials.
   • The device detects beta and gamma rays, but not alpha rays.

3. Recording Functionality:

   • Data can be recorded and saved in CSV format on an SD card, with timestamps included in the file names.

4. Dice Roller App:

   • This app uses the Geiger counter to generate random numbers for games by detecting radiation.
   • Two hashing methods (CRC32 and MD5) are used to ensure randomness.

5. Button Functions:

   • Various buttons allow users to clear graphs, change measurement units, enable recording, zoom in/out, and exit the app.

6. Caution:

   • The apps are intended for educational use only and should be used responsibly on personal equipment.

Overall, the Flipper Zero Geiger Counter Module offers a versatile tool for measuring radioactivity and using that data for fun applications like random number generation.

Between the 1860s and 1920, typhoid fever outbreaks killed over 300,000 Americans due to contaminated drinking water. Cities began building filtration systems in the 1890s, and by 1908, chlorination was introduced, significantly reducing typhoid deaths by the 1920s.

In contrast, airborne diseases like tuberculosis, which kills over a million annually, have not received similar attention. Covid-19 highlighted how quickly airborne pathogens can spread in poorly ventilated spaces. Today, technologies like ventilation, high-quality filters, and germicidal light can help clean indoor air.

Historically, UV light was effective in killing pathogens but harmful to humans. New research reveals that "far-UVC" light (under 230 nanometers) can kill germs without harming people. Studies have shown that far-UVC can significantly reduce airborne viruses.

Air cleaning techniques include ventilation, which dilutes pathogens but is often impractical, and mechanical filtration, which is effective but can be costly and energy-intensive. Far-UVC light offers a powerful alternative, capable of achieving high air changes per hour without the drawbacks of other methods.

Despite its potential, far-UVC technology is not widely used due to quality issues and a lack of standardization. Successful examples of far-UVC implementation exist in institutions like Mount Sinai Hospital, suggesting a path forward for broader adoption.

Overall, just as clean water transformed public health, improving indoor air quality could significantly reduce airborne illnesses, making clean air a standard expectation.

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No summary available.

The essay discusses Sylvia Plath's fig tree metaphor, which symbolizes the overwhelming choices and indecision faced by individuals, particularly women in their twenties. Plath describes her life as a fig tree, where each fig represents a different life path, leading to paralysis as she struggles to choose one. This metaphor resonates with many readers who experience similar feelings of wanting multiple lives but feeling forced to choose just one.

The author reflects on how machine learning decision trees could help make decisions by systematically evaluating options, contrasting this with the emotional complexity of human choices. While machines classify data to reach a conclusion, human identities are dynamic and ever-changing, like a tree with many branches.

The essay also highlights the importance of external influences in personal growth, likening it to the mutual relationship between fig trees and wasps, which pollinate and help them thrive. Ultimately, it suggests that embracing the complexities of life and allowing for growth and change can lead to new possibilities, moving beyond the paralysis of indecision.

Henry and Roman are developing Cactus, an AI inference engine specifically for mobile phones. On-device AI is gaining popularity because it reduces response time, ensures privacy, works offline, and avoids high API costs.

Cactus addresses several challenges that existing solutions face, such as:

• Many phones are low to mid-budget, so solutions need to be optimized for them.
• Users are concerned about large app sizes and battery drain.
• Most phones lack NPUs (Neural Processing Units), which are preferred for AI tasks.
• Some frameworks require different models for different operating systems.

Cactus is built to run AI locally on any phone, focusing on energy efficiency and compatibility. It provides easy-to-use SDKs for developers to create applications with minimal code.

The performance benchmarks for Cactus show it can process between 16-70 tokens per second on various devices, with a quick response time. Cactus is open-source and free for personal use, but commercial use requires a paid license.

They have a demo app available on both the App Store and Google Play, and several apps are already utilizing Cactus in production.

While Cactus is suitable for Apple devices, users with standard computers should use other frameworks like HuggingFace or Llama.cpp. They welcome feedback from the community.

I created a tool yesterday to help understand research papers I'm interested in. It uses the Gemini 2.5 flash lite model, but you can also run it with the 2.5 pro version for better results. I'm open to questions and suggestions for improvements! You can find it here.

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Summary of Luau Overview

1. Motivation: Roblox began using Lua 5.1 in 2006 for game scripting. Over time, they improved the language to support more complex games and larger teams, focusing on performance and usability, and added a gradual type system.

2. Sandboxing: Luau restricts the standard libraries available to users and includes sandboxing features, allowing unprivileged developer code to run alongside privileged code safely.

3. Compatibility: Luau aims to be backward-compatible with Lua 5.1 while also adopting some features from later Lua versions. However, it does not fully support all newer features due to different design choices and needs.

4. Syntax: Luau maintains compatibility with Lua 5.1 syntax but adds new features to enhance familiarity and ease of use for developers.

5. Analysis Tools: Luau provides tools like a linter and a type checker (known as script analysis) to help developers write correct code, integrated into a command-line tool.

6. Performance: Luau features a custom runtime with optimized bytecode and compiler, aiming for high performance comparable to LuaJIT. It also offers optional Just-In-Time compilation for faster execution on certain platforms.

7. Libraries: Luau is a superset of Lua 5.1 but has modified its standard libraries by removing some functions and adding new ones. When embedded in applications, Luau scripts can access additional application-specific libraries.

No summary available.

Summary of pnpm 10.16 Update:

1. Delayed Dependency Updates:

   • A new setting called minimumReleaseAge is introduced to delay the installation of newly released packages. This helps prevent the risk of installing compromised versions of popular packages.
   • For example, setting minimumReleaseAge: 1440 means pnpm will only install packages that were released at least one day ago.
   • You can exclude specific dependencies from this delay using minimumReleaseAgeExclude.

2. Advanced Dependency Filtering:

   • pnpm now supports "finder functions" to search dependencies based on various properties, not just names.
   • Users can define these functions in a file called .pnpmfile.cjs and use them with the --find-by=<function name> flag.
   • An example function can find dependencies with a specific version of React in their peer dependencies and display additional information like the license.

3. Patch Changes:

   • Fixed a deprecation warning for Node.js 24.
   • Errors will be thrown if nodeVersion is not set correctly.
   • Updated the pnpm publish command to allow publishing of .tar.gz files.
   • Cancelling a process with Ctrl-C will now return a non-zero exit code.

This update aims to enhance security and improve dependency management in pnpm.

No summary available.

The creator made a fun game where you play as an ant and feed it apples. The game includes randomly generated landscapes with clouds and trees placed in a unique way. This part of the game took the most time to develop. The creator is looking for feedback on the game.

No summary available.

No summary available.

The article "The Math of Catastrophe" by Gregory Barber discusses the concept of climate tipping points—sudden, drastic changes in the Earth's climate system that can lead to catastrophic outcomes. These tipping points, first explored by mathematicians like Mikhail Budyko in the 1960s, are associated with various environmental changes, such as the melting of polar ice or the decline of ecosystems like the Amazon rainforest.

Key points include:

1. Tipping Points Explained: Tipping points occur when slight changes can lead to significant, irreversible shifts in the climate, such as the loss of sea ice or the collapse of ocean currents.

2. Mathematical Models: While mathematicians have developed models to predict tipping points, these models often come with high uncertainty due to the complexity of climate systems and limited data.

3. Historical Perspective: The article references the historical context of climate shifts, including the “Snowball Earth” hypothesis and other past climate changes, emphasizing that Earth has experienced catastrophic shifts before.

4. Challenges in Prediction: Predicting when tipping points might occur is difficult. Scientists often rely on probabilities rather than exact timelines due to the chaotic nature of climate systems.

5. Recent Research: New studies, such as those by climate scientists Peter and Susanne Ditlevsen, suggest that major systems like the Atlantic Meridional Overturning Circulation (AMOC) could reach tipping points within the next few decades, raising concerns about global impacts.

6. Positive Tipping Points: The article also introduces the idea of "positive tipping points," where certain changes can lead to beneficial outcomes, such as increased adoption of renewable energy technologies.

In conclusion, while the concept of tipping points raises alarms about potential catastrophic changes in the climate, it also highlights the urgent need for action to mitigate climate change and the importance of understanding complex systems through mathematics.

CARI, or Consumer Aesthetics Research Institute, is an online community focused on creating a visual dictionary of consumer items from the 1970s to today. They invite people to join in researching and documenting design history. If you appreciate their work, they encourage donations to support their research.

Summary: The Rise and Fall of the British Detective Novel

Detective stories became highly popular among the British middle class from around 1910 to 1950, marking a 'golden age' for the genre. This era saw an explosion of murder mysteries, typically featuring affluent characters and amateur detectives, rather than police. Notable authors like Agatha Christie and Arthur Conan Doyle, creator of Sherlock Holmes, defined this period. Holmes became the archetype of the brilliant detective, often solving crimes that stumped the police.

While the detective genre has American and French origins, it truly flourished in England, shaped by societal changes. The stories often focused on upper-class life and overlooked the realities of crime, which were more prevalent among poorer populations. Despite this, the novels reflected a belief in justice and rationality that resonated with middle-class readers.

After World War I, numerous talented writers emerged, but many faded into obscurity. The genre's appeal diminished after the 1960s, as societal attitudes shifted and new styles of crime fiction evolved, such as the American hard-boiled genre. Today, the classic detective story format has largely disappeared, overshadowed by more modern narratives that incorporate violence and complex psychological themes. Overall, the evolution of crime fiction mirrors broader changes in British society, moving from a celebration of rationality to a more chaotic and morally ambiguous storytelling landscape.

At social gatherings, people often discuss complex topics like technology and engineering with a superficial understanding. They tend to criticize current approaches and propose their solutions without grasping the underlying complexities of the fields they are discussing. This phenomenon showcases a common issue where individuals with limited knowledge overestimate their understanding, leading to flawed conclusions about how things work.

For instance, programmers often compare their field to traditional engineering, assuming that programming is more complex because it deals with rapid changes. However, engineers also face significant challenges, like unexpected geotechnical conditions in construction, which are often overlooked in casual discussions.

A notable example involves bridge building, where programmers might claim that civil engineering is straightforward, yet civil engineers regularly deal with changing requirements during a project. This misunderstanding extends to various fields, as people tend to simplify problems without recognizing the nuances and complexities involved.

Studies suggest that people often overestimate their understanding of complex systems, leading to incorrect assumptions. This "illusion of explanatory depth" illustrates that a high-level view often misses critical details necessary for accurate problem-solving.

Overall, the text emphasizes the importance of acknowledging the complexity of various fields and avoiding oversimplification when discussing technical topics. Effective problem-solving requires a deeper understanding and appreciation of the intricate challenges faced by professionals in those areas.

The author reflects on their website design and realizes they weren't following their own advice about using CSS effectively. They decide to completely eliminate classes from their website and instead use a class-free approach, similar to what they did in the past with CSS Zen Garden.

The site’s CSS is organized into three layers: base, components, and utilities. They initially focused on using semantic elements and defaults for styling but found themselves overcomplicating things with excessive contextual styles. To simplify, they explore using custom tags and attributes, which are valid HTML and can replace traditional classes.

This method allows for a cleaner and more semantic structure in the markup, leading to reduced CSS size and improved accessibility. However, the author notes that this approach requires more careful planning and may not be suitable for larger projects with diverse frontend skills. They acknowledge that while they’ve made significant changes, they still utilize some classes for specific functionalities, indicating that their journey with CSS and web design is ongoing.

Summary of Bluefin LTS Release

Bluefin LTS and Bluefin GDX are now available after nine months of development.

Key Features of Bluefin LTS:

• Designed for users who prefer long-term support (3-5 years per release).
• Built on CentOS Stream 10, featuring a backported GNOME 48 desktop.
• Offers a hardware enablement (HWE) branch with updated Linux kernels.
• Installation is simplified with a new Anaconda web UI.
• Regular updates will be released weekly.

Key Features of Bluefin GDX:

• Tailored for AI and machine learning professionals, featuring Nvidia drivers and CUDA.
• Combines elements from both Bluefin LTS and the Developer Experience.
• Focused on providing an open-source AI platform with essential tools and integrations.

Additional Information:

• Bluefin LTS aims to be more sustainable than previous versions, with less frequent updates needed after initial setup.
• Bluefin GTS and LTS are seen as competitors, both offering unique features.
• There are ongoing efforts to improve the user experience and address any functional gaps compared to Fedora builds.

Merchandise:

• A new store is available selling Bluefin merchandise, with proceeds supporting community artwork.

Conclusion: Bluefin LTS and GDX represent a significant step forward for users looking for stable and modern desktop solutions.

Summary

This document serves as a guide for new users, covering essential features and functionalities.

Introduction

• It introduces the key aspects of the user interface and usage.

User Interface

• Describes menu items, settings, and features like the Touch Bar, Copy Mode, fonts, profile search syntax, command selection, and status bar.

Features

• Highlights important features such as:
  • Automatic profile switching
  • Badges
  • Buried sessions
  • Captured output
  • Coprocesses
  • Hotkeys
  • Session restoration
  • Shell integration
  • Smart selection
  • tmux integration
  • Triggers
  • Utilities
  • Web browser
  • AI chat

Scripting

• Covers the basics of scripting, including scripting variables and the Python API. Note: AppleScript support is deprecated.

Advanced

• Discusses advanced topics like dynamic profiles, inline images protocol, and proprietary escape codes.

Summary of tldraw SDK 4.0 Announcement

On September 18, 2025, Steve Ruiz, the founder of tldraw, announced the release of tldraw SDK 4.0, which features new starter kits, improved accessibility, and changes to licensing.

Key Updates:

1. New CLI Tool: A new command-line interface (CLI) tool is available to quickly create tldraw projects using templates.

2. Starter Kits: Four new starter kits were introduced:

   • Agent: For chatbot interactions.
   • Workflow: For node-and-wire applications.
   • Branching Chat: For creating branching AI conversations.
   • Chat: For chatbots that annotate images on the canvas.
   • Multiplayer: For building multiplayer applications.

3. Licensing Changes: The SDK can only be used in development without a license. For production use, a trial, commercial, or hobby license is required. A free 100-day trial is available, and there is a special offer for teams considering a commercial license.

4. Accessibility Improvements: The SDK has been updated to comply with WCAG 2.2 AA standards, making it more accessible for users.

5. Growth and Community: tldraw has seen significant growth, with over 70,000 weekly installs, 40,000 GitHub stars, and a vibrant community on Discord.

Overall, this release aims to enhance developer resources, improve accessibility, and ensure sustainable commercialization of the SDK. Users are encouraged to explore the new features and starter kits.

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The second post in a blog series about the Stop Censoring Abortion campaign highlights troubling trends regarding how social media platforms, particularly Meta, handle abortion-related content. The campaign gathered stories from activists and organizations whose content has been removed or flagged, revealing that without personal connections to Meta, it’s much harder to restore accounts or content.

For example, the Red River Women's Clinic faced account suspension after posting educational content about abortion, and it was only restored after a digital rights organization intervened. Similarly, RISE at Emory University had their account deleted after posting about mifepristone, only to recover it after connecting with Meta.

These cases show a pattern of overenforcement, lack of transparency, and arbitrary decisions that negatively impact reproductive health advocates. Meta admits to enforcement issues, yet effective resolution often requires connections or media involvement.

This situation creates a chilling effect, making organizations hesitant to share important information. The blog calls for Meta and other platforms to improve their moderation practices and ensure equitable access to information without relying on insider connections.

Summary of Wasm 3.0 Release

Wasm 3.0 was announced on September 17, 2025, marking a significant update from the previous version 2.0, which was completed three years prior. This new version includes several major features:

1. 64-bit Address Space: Wasm can now use a 64-bit address type, allowing for much larger memory capacities (theoretically up to 16 exabytes), though web applications will still be limited to 16 gigabytes.

2. Multiple Memories: Developers can now declare and access multiple memory objects within a single module, enabling new functionalities like data copying between memories.

3. Garbage Collection: Wasm introduces a low-level garbage collector for managing memory automatically, allowing for better memory management without higher-level constructs.

4. Typed References: The new type system supports more detailed reference types, improving safety and efficiency in function calls.

5. Tail Calls: This feature allows functions to exit without using extra stack space, optimizing performance for various programming languages.

6. Exception Handling: Wasm 3.0 includes native support for exceptions, allowing for more efficient error handling compared to previous versions.

7. Relaxed Vector Instructions: New "relaxed" versions of SIMD instructions provide flexibility in performance, while a deterministic execution profile ensures consistent behavior across platforms.

8. Custom Annotation Syntax: A new syntax allows for human-readable annotations in Wasm source code, enhancing code clarity.

Additionally, the JavaScript API now includes new string functions that allow direct manipulation of JavaScript string values in Wasm.

These features enhance Wasm's ability to support high-level programming languages, leading to new languages being developed for Wasm, such as Java, Scala, and Dart. Wasm 3.0 is already available in major web browsers and is being implemented in standalone engines.

The article discusses how PostgreSQL has developed predefined roles to manage database maintenance without needing superuser access. Traditionally, users either had limited permissions or were granted full superuser rights, which posed security risks. The introduction of predefined roles allows for more specific permissions tailored to common tasks, enhancing security and usability.

Key Points:

1. Predefined Roles: PostgreSQL offers 15 built-in roles that provide specific access for tasks like monitoring, data access, and system operations without requiring superuser rights.

2. Benefits of Using Predefined Roles:

   • Expands the number of users who can manage databases safely.
   • Allows for granular control over permissions, reducing the need for excessive privileges.
   • Simplifies permission management by grouping capabilities logically.

3. Evolution of Roles: Over the years, PostgreSQL has expanded predefined roles to address user needs and operational challenges, starting from the introduction of roles in version 9.6 and evolving through subsequent versions to include more functionalities.

4. pg_database_owner: This unique role acts as the owner of a database but does not have any inherent permissions. It helps maintain proper database ownership and simplifies permission management.

5. Conclusion: Predefined roles have transformed PostgreSQL administration, allowing for efficient and secure permission management. Users are encouraged to utilize these roles instead of defaulting to superuser access for operational tasks.

In summary, predefined roles in PostgreSQL enhance security, simplify access management, and allow more users to perform necessary database tasks without superuser privileges.

Summary:

The effectiveness of AI-assisted software development largely depends on how well we manage "units of work." Atharva Raykar emphasizes that providing the correct context is crucial for getting good results from AI tools. When AI generates code, it relies on a context window that influences the quality of its output. If the context is too vague or overloaded with information, the AI can make mistakes or deliver poor results.

To improve accuracy, tasks should be broken down into appropriately sized units of work that are clear and focused. This reduces the chance of errors compounding over multiple steps. For instance, even a 5% error rate in a multi-step process can lead to a high failure rate overall.

Raykar highlights the importance of creating user stories—small units of work that provide clear business value—because they help bridge the gap between AI output and human needs. The goal is to develop a system where AI can work efficiently with manageable units of work, ultimately making the development process smoother and more effective.

An experiment called "StoryMachine" is underway to explore how user stories can be enhanced to better guide AI tools in software creation. The aim is to simplify AI-assisted development and reduce the effort involved in the process.

Summary:

Earth Hope is a platform that shares positive environmental stories and solutions, aiming to inspire action. Recently, the American Prairie conservation group made a significant achievement by purchasing the 70,000-acre Anchor Ranch in Montana, previously owned by two Texas billionaires. This purchase restores public access to a vital road leading to the Upper Missouri River Breaks National Monument, which had been blocked for years.

American Prairie aims to create one of the largest nature reserves in the U.S., preserving important wildlife habitats, including those for endangered species like bison and prairie dogs. The organization is dedicated to protecting the shortgrass prairie ecosystem and has expanded its land holdings to over 600,000 acres.

Overall, this story highlights the importance of public land access and conservation efforts in the United States.

Summary: Mapped: 6,000 Rocket Launches

Aaron Koelker created a project analyzing over 6,000 rocket launches from 1957 to 2020, inspired by his father’s work at NASA. This project, titled "T-Minus 6000," details global launches starting with the first artificial satellite, Sputnik. It shows that while over 90% of launches today succeed, many launches in the 1950s failed.

The project uses data from Jonathan’s Space Report, compiled by astrophysicist Jonathan McDowell. It includes information about launch success rates, spaceport locations, and trends over time, presented in an interactive and visually appealing format. Koelker's work was recognized as one of the best stories in 2021 by Esri ArcGIS StoryMaps, highlighting humanity's journey into space and the challenges faced along the way.

Summary:

The Australian defense company Electro Optic Systems (EOS) has launched the Apollo High Energy Laser Weapon, capable of firing up to 150 kW of power. This laser can destroy up to 200 medium-sized drones using its own internal power supply, making it effective against drone swarms, which are becoming a significant threat.

The Apollo laser can fit in a standard shipping container and can be mounted on vehicles. It can target drones at distances of up to 1.86 miles (3 km) and disable their sensors from as far as 9 miles (15 km). The system is designed to engage multiple targets quickly, with the ability to handle 20 small drones per minute.

EOS aims to meet the growing need for effective and economical anti-drone solutions. The Apollo laser is already sold to a NATO country and is developed to operate under harsh field conditions, making it a promising tool for modern military defense.

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The article discusses advancements in prime editing, a method used to make precise changes to DNA. Prime editors use a modified Cas9 enzyme and a template RNA to insert new genetic sequences. A challenge with this technique is minimizing errors, specifically indel errors (insertions and deletions), which can occur during the editing process.

Researchers found that certain mutations in the Cas9 enzyme can help reduce these errors by destabilizing competing DNA strands that interfere with the editing process. This led to the development of a new type of prime editor, called vPE, which shows similar editing efficiency to earlier versions but with up to 60 times fewer indel errors. This improvement allows for a much higher ratio of successful edits to errors (543:1).

The study highlights the importance of understanding the mechanisms behind indel errors and how engineering the Cas9 enzyme can enhance the accuracy of prime editing. The findings could lead to more reliable genetic modifications in various applications.

Summary: Apple Photos App Corrupts Images

The Apple Photos app sometimes corrupts images when importing from cameras, particularly noted by a user who experienced significant photo loss during a family wedding. Initially, the user imported photos in RAW + JPG format and used the “delete after import” option, which led to uncertainty about whether the images were corrupted before or after the import.

After losing about 30% of the wedding photos, the user tried various hardware changes, including new USB cables, SD cards, and even a new camera, but the corruption issue persisted. Eventually, they stopped using the “delete after import” option and verified images before formatting the SD card. This seemed to reduce corruption, but one corrupted image was still found after importing.

The user concluded that the Photos app itself likely has a software issue causing random file corruption. They have since switched to using Darktable for importing and managing photos, which has not shown any corruption issues. Now, they import images to Darktable first, cull out the bad ones, and then export the good ones to the Photos app for easy sharing. The user has invested a lot of time and money troubleshooting but is relieved to have found a new workflow that works.

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Manyminiapps is a new online tool that allows users to create mini apps quickly and easily, without needing to sign up. You simply enter a prompt and receive a mini app in under two minutes. Each app includes its own database, enabling you to create shareable apps that can save data.

Unlike traditional app builders, manyminiapps focuses on helping users create fun, personal software rather than complex production software. Early users have created a variety of apps, such as wedding planners and games, showcasing the tool's versatility.

The platform uses a unique database system that allows multiple apps to share one database, making app creation lightweight. They faced challenges with database efficiency but developed a custom solution to maintain performance.

The team experimented with different AI models for generating apps, finding that GPT-5 produced simple apps, while Claude Opus and Sonnet provided better-quality outputs, though they struggled with following instructions. They discovered that using example prompts yielded the best results.

Overall, manyminiapps is designed to be a fun and creative way for people to build their own software projects.

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The seminar titled "The Numerical Analysis of Differentiable Simulation: Automatic Differentiation Can Be Incorrect" discusses the challenges of using automatic differentiation (AD) in scientific machine learning (SciML). While AD is often seen as a straightforward way to compute gradients for optimization in mechanistic models, it can lead to incorrect results due to numerical errors.

The talk will highlight examples using Python libraries like Jax and PyTorch, showing that even mathematically correct AD methods can produce significant errors—up to 60%—especially in simple cases like linear ordinary differential equations (ODEs).

To address these challenges, the speaker will describe modifications made in Julia's SciML libraries that help improve accuracy, while also discussing the necessary trade-offs involved. The goal is to enhance understanding of the numerical issues still faced in applying AD in SciML.

On September 19, 2025, three Russian MiG-31 fighter jets entered Estonian airspace, marking the third such incident this month as Russia tests NATO's defenses. The jets, capable of carrying hypersonic missiles, were intercepted by Italian F-35s after circling for about 12 minutes.

This violation follows recent drone incursions by Russia into Poland and Romania, prompting NATO's response and raising concerns among European leaders. Estonia's Foreign Minister called the incident "unprecedentedly brutal" and emphasized the need for increased political and economic pressure on Russia.

In response to these aggressive actions, the European Commission announced new sanctions targeting Russian energy and financial transactions, highlighting a commitment to escalate pressure on Russia until negotiations can occur.

Summary of Hypervisor 101 in Rust

Hypervisor 101 is a one-day course designed to teach you about hypervisors and how to write them for effective fuzz testing. The course will cover important topics like hardware-assisted virtualization, including VMCS/VMCB, switching between guest and host worlds, and EPT/NPT. It will also introduce useful techniques for monitoring virtual machines during fuzzing.

The course includes lectures and hands-on exercises using source code found in the Hypervisor-101-in-Rust/hypervisor directory. The materials are based on the gcc2023 branch, which has some incomplete code for exercises. To get started with the hands-on part, check out the specific branch mentioned.

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The person is looking for a 3D printer with a minimum print volume of 256x256x256mm. They want it to be enclosed or able to be enclosed and capable of printing strong materials like PC, Nylon, or ABS. They don't need to print with multiple materials and prefer a printer that can work offline without sending data online. Open-source software and easy repair options are important to them. They are willing to assemble the printer and learn how to use it, as they have experience in CAD and manual modeling, but they are not very familiar with slicing software.

The Orange Pi RV2 is an affordable single-board computer (SBC) that allows users to explore RISC-V computing for just $40. It features an 8-core RISC-V processor and various connectivity options, making it ideal for developers, hobbyists, and professionals. However, it is best suited for specific tasks like IoT and lightweight AI and is not intended to replace a desktop PC.

This overview highlights the RV2's strengths, such as its energy-efficient design, dual NVMe slots, and GPIO interface, which are useful for industrial automation and IoT projects. It also discusses its limitations, particularly in software support and desktop performance. Overall, the RV2 offers a unique opportunity for those interested in RISC-V technology and challenges the idea of affordability and innovation in SBCs.

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LinkedIn will update its terms on November 3rd, allowing the platform to use member data, including profile information and public posts, to train its generative AI models. This means your content could be used to help create new AI-generated content, although private messages are not included. In the EU, LinkedIn claims it has a "legitimate interest" to do this, but users can opt out, though they must take action to do so.

The author encourages users to consider whether they want their professional data to be used in this way and suggests checking privacy settings under "Data for Generative AI Improvement."

Overall, the post highlights the growing trend of online data being repurposed by platforms.

Summary of the ASUS Gaming Laptop ACPI Firmware Bug

Problem Overview: Many high-end ASUS ROG laptops (like Strix, Scar, and Zephyrus) exhibit frustrating performance issues such as stuttering, audio crackling, and mouse freezes during basic tasks. Traditional troubleshooting steps (driver updates, Windows reinstallations, etc.) fail to resolve the problem, indicating a deeper issue within the laptop's firmware (BIOS).

Key Findings:

1. Latency Issues: Tools like LatencyMon reveal significant latency caused by the ACPI.sys driver, indicating the system struggles with real-time audio and tasks.
2. CPU Impact: One CPU core is disproportionately affected, processing interrupts for extended periods while others are underutilized, hinting at poor load balancing.
3. Firmware Flaws: The ACPI.sys driver is slow due to inefficient code from the laptop's firmware, particularly when handling General Purpose Events (GPEs) and GPU power management.
4. Power Cycling Issues: The firmware incorrectly attempts to power cycle the GPU, even when it’s supposed to be in a fixed mode (Ultimate/Mux mode), leading to system crashes and performance degradation.
5. Regular Patterns: Latency spikes occur in a predictable cycle (every 30-60 seconds), suggesting a systemic issue rather than random hardware faults.

Root Causes:

• Interrupt Mismanagement: The firmware's GPE handler contains sleep calls that halt execution, causing significant delays and stuttering.
• Lack of Platform Awareness: The code does not check the system's graphics mode before issuing power commands, leading to critical errors.
• Periodic Event Creation: The firmware unnecessarily re-arms interrupts, creating a cycle that disrupts normal operations.

User Impact: This issue has been reported by ASUS laptop users since 2021, affecting a broad range of models. Despite the persistence of the problem across various laptop generations, no permanent fix has yet been implemented.

Conclusion: The evidence indicates that the firmware design flaws significantly impair the performance of ASUS gaming laptops. A firmware update is needed to resolve these issues and restore proper functionality. ASUS has acknowledged the problem, but users continue to experience performance issues until a fix is released.

The text discusses the challenges of using configuration files in software development, particularly focusing on the pitfalls of YAML. Initially, developers often choose YAML for its readability and popularity, but as projects grow, managing complex YAML files becomes difficult and frustrating.

The author argues that configuration files should be treated as user interfaces (UIs) to improve user experience, emphasizing the need for tools that prevent errors and simplify the configuration process.

A solution mentioned is KSON, a new configuration language designed with user-friendliness in mind. KSON offers features like better indentation handling and syntax highlighting for embedded code, making it easier to work with than traditional formats like YAML, JSON, or TOML.

The text encourages the adoption of KSON and calls for a broader movement in the industry to prioritize a better configuration editing experience. The author expresses enthusiasm for KSON and invites readers to try it out and join the community behind it.

Summary: Keeping Sessions Alive with systemd-inhibit

In a home lab setup, the author uses a desktop for development, which goes to sleep after 30 minutes of inactivity. This causes interruptions during remote sessions via SSH, requiring constant reconnections.

To solve this, the author employs systemd-inhibit, a tool that can block sleep and suspend actions on a system. By using a command that runs a long-lasting process in the background, they can keep the system awake while working remotely.

Key points:

1. Using systemd-inhibit: It prevents the system from sleeping until a specified command exits.
2. Long-running process: The author uses a shell (sh) as a lightweight process to keep the inhibit active.
3. Bash aliases: They create two aliases, block and unblock, for convenience, allowing easy control over the inhibit process.
4. Testing: The process can be verified using systemd-inhibit --list.

The author acknowledges that there are simpler alternatives, like using a tool called Caffeine, but prefers this method for its flexibility.

The author, who left Google, has created Dyad, a free local open-source AI app builder using Electron. They developed Dyad because they faced issues with a popular cloud-based AI app builder that didn't work well when run locally. Dyad allows users to easily switch between it and coding tools like Cursor or Claude Code.

Key Links:

• Source code: GitHub
• Download Dyad: Dyad Website
• Architecture documentation: Architecture Doc

The author is open to feedback and questions about building Electron apps.

C# 14, part of .NET 10, will introduce a new feature called null-conditional assignment. This allows developers to assign values to properties without needing multiple if statements to check for null values, making the code cleaner and easier to read.

Previously, if you wanted to assign a value to a property, you had to check if the object or property was null to avoid errors. For example, instead of writing:

if (config?.Settings is not null)
{
    config.Settings.RetryPolicy = new ExponentialBackoffRetryPolicy();
}

You can now simply write:

config?.Settings?.RetryPolicy = new ExponentialBackoffRetryPolicy();

This new feature also works with indexers and compound assignments, further simplifying code. For example:

customerData?["LastLogin"] = DateTime.UtcNow;

However, there are some important points to remember:

• The right side of the assignment won't execute if the left side is null, preventing unnecessary operations.
• Increment (++) and decrement (--) operators are not supported with null-conditional assignments.
• It’s advisable not to overuse this feature to keep your code understandable, as complex one-liners can make debugging difficult.

In summary, null-conditional assignments in C# 14 will help reduce the clutter of null checks in your code, making it cleaner and easier to maintain.

Summary of @ctrl/tinycolor Supply Chain Attack Post-mortem

On September 15, 2025, a security incident occurred involving a malicious GitHub Actions workflow that was added to a shared repository. This workflow stole an npm token with extensive publishing rights, allowing the attacker to publish harmful versions of 20 packages, including @ctrl/tinycolor.

Key Points:

• The attack did not compromise the author's GitHub account or repository directly, and no phishing or malicious installations occurred on their machine.
• GitHub and npm security teams quickly acted to remove the malicious packages, and the author released clean versions to restore trust.
• The attack exploited a shared repository where multiple admins had access, leading to a force-pushed malicious workflow that ran automatically.
• The incident resulted in potentially harmful versions of several packages being available on npm briefly, which could trigger unwanted postinstall actions.

Response and Future Plans:

• The author plans to implement stricter security measures, including using npm’s Trusted Publishing (OIDC) to eliminate static tokens, and requiring two-factor authentication (2FA) for publishing.
• They aim to continue using pnpm to prevent unapproved scripts and will adopt new security features as they become available.

The author expressed gratitude to the security teams for their swift response and outlined a wish list for better security features in npm and GitHub to enhance package publishing safety.

The CERN Animal Shelter for Computer Mice has reopened after securing new funding. It is located in front of the CERN Computer Centre and is open on weekdays from 8:30 AM to 5:30 PM.

The shelter promotes safe internet browsing with the message "Stop — Think — Click." This advice helps users avoid clicking on harmful links, which can lead to computer infections. To enhance security, all CERN users are encouraged to disconnect their computer mice and bring them to the shelter.

For more information, users can visit the CERN Computer Security website or contact them via email. The shelter is not responsible for the sponsor's message.

RunRL, created by Andrew and Derik, is a platform that enhances models and agents through reinforcement learning (RL) without the hassle of managing GPU clusters. Their journey started when Andrew noticed that many researchers found RL too complicated to implement. They developed RunRL to make it easier for users to run RL experiments, leading to applications in fields like antiviral design and formal verification.

Here's how it works:

1. Select a base model.
2. Upload initial prompts for tasks (like generating antiviral drugs).
3. Define a reward function using Python or a language model.
4. Optionally create complex environments for multi-turn interactions.
5. Watch the performance improve!

RunRL can outperform larger models for specific tasks because it focuses on enhancing performance in key areas where it’s needed. Pricing is $80 per node-hour, and most models up to 14 billion parameters can run on a single node.

Upcoming features include continuous learning and tool use, which is currently in private beta. They welcome feedback and inquiries from the community.