Summary of Claude Code Opus 4.5 Performance Tracker (Updated Jan 29, 2026)

The Claude Code Opus 4.5 Performance Tracker monitors performance on software engineering (SWE) tasks to identify significant drops in effectiveness. Here are the key points:

• Daily Updates: The tracker provides daily performance benchmarks based on a selected set of tests from SWE-Bench-Pro.
• Detection Method: It uses statistical tests to identify significant performance degradations, focusing on changes that are statistically meaningful (p < 0.05).
• Performance Metrics:
  • Baseline Pass Rate: The historical average pass rate is 58%, which acts as a reference.
  • Daily Pass Rate: The percentage of tasks passed in the last day was 50% (50 evaluations).
  • 7-day and 30-day Pass Rates: The average pass rates over the last week and month were 53% and 54%, respectively, providing a broader view of performance stability.
• Statistical Confidence: The tracker includes confidence intervals to indicate the reliability of the performance metrics. Wider intervals suggest more uncertainty due to fewer samples.
• Alerts: Users can subscribe to get notified about any significant performance drops.

Context: This tracker is an independent tool aimed at providing reliable monitoring of Claude Code performance, especially following past degradation issues identified by Anthropic in September 2025. It runs daily evaluations using the latest software version without any modifications, ensuring results reflect actual user experiences.

Overall, the tracker aims to improve transparency and reliability in monitoring the performance of Claude Code.

The Meteosat Third Generation-Sounder (MTG-S) satellite has sent back its first images, offering new insights for weather forecasting in Europe and northern Africa. Launched on July 1, 2025, the satellite captures data on temperature and humidity from a geostationary orbit, providing updates every 30 minutes.

Key highlights include:

• The satellite's Infrared Sounder instrument can measure surface and cloud temperatures, revealing hot areas like Africa and parts of South America in red, while cooler regions appear in blue.
• Humidity levels are also mapped, showing high humidity in areas like eastern Africa and dry conditions over the Sahara Desert.
• The MTG-S provides crucial data for predicting severe weather events, with the ability to track phenomena like volcanic eruptions, as demonstrated by an animation of the Hayli Gubbi volcano eruption in Ethiopia.

The mission, developed by the European Space Agency (ESA), represents a significant advancement in weather observation, with potential to enhance forecasting accuracy and respond to extreme weather more effectively. The MTG-S is part of a broader program that includes another satellite, MTG-I, which will launch later in 2026.

This text discusses creating a command-line interface (CLI) tool that displays syntax-highlighted source code, focusing on color themes and their readability across different terminal settings.

Key points include:

1. Choosing Colors: The author experiments with various terminal themes (like Sorcerer, Basic, Tango, and Solarized) to find colors that look good and are readable for users with different themes.

2. Color Testing: Each theme is tested to see how readable the colors are. The Basic theme is criticized for being outdated and hard to read, while Tango shows some improvement but still has issues.

3. Solarized Theme: Solarized is praised for its thoughtful color choices and popularity, but it can create problems for applications using certain bright colors that conflict with its palette.

4. Final Color Choices: The author concludes with a recommended set of eleven acceptable colors to ensure readability across various terminal configurations.

5. Recommendation: Developers are advised to limit their color choices to those identified as mostly readable, to enhance usability for a wider audience.

Overall, the text emphasizes the importance of considering user experience when choosing colors for CLI tools.

This paper analyzes security vulnerabilities in various NFC technologies, including MIFARE Ultralight C, MIFARE Ultralight AES, NTAG 223, and NTAG 224 DNA cards. It highlights how attackers can exploit these vulnerabilities through techniques like relay attacks and key overwrites, significantly reducing the time needed to recover cryptographic keys.

Key findings include:

• Security Weaknesses: The lack of integrity checks and poor configurations in real-world applications allow attackers to compromise the security of these technologies. For example, the keyspace of 2-key Triple DES can be reduced from 2112 to as low as 228, making brute-force attacks feasible.
• Affected Products: Several NXP and non-NXP products are vulnerable, including specific MIFARE and NTAG models.
• Impact Assessment: Different configurations lead to varying levels of risk, with some non-NXP cards allowing key recovery in under a minute due to flawed designs.
• Mitigations: Recommendations include enabling integrity checks, implementing key diversification, locking critical memory pages, and replacing non-NXP cards with genuine NXP products.

The research was responsibly disclosed to NXP, who confirmed the findings and requested time for product updates before the public release of this information. The paper emphasizes the importance of proper configurations and the need for stronger technologies like MIFARE DESFire for high-security applications.

For system operators, it is crucial to audit current deployments and consider transitioning to more secure systems to mitigate risks.

No summary available.

Summary of Benchmarking OpenTelemetry: Can AI Trace Your Failed Login?

A recent study tested 14 advanced AI models to see how well they could implement OpenTelemetry, a standard for tracking requests across microservices. The results showed that even the best models struggled, with the top performer, Claude 4.5 Opus, succeeding only 29% of the time.

Key Points:

1. What is Distributed Tracing?

   • It's a method to track a user action (like clicking "Login") as it moves through different microservices, which helps identify problems in complex systems.

2. Challenges in AI Instrumentation:

   • The AI models often failed to connect separate user actions correctly, merging distinct events into a single trace. They lacked understanding of the business context behind the requests.

3. Performance Across Languages:

   • The models varied in performance by programming language. C++ had the highest success rate (37%), while Java, Ruby, and Swift saw no successes.

4. Cost and Efficiency:

   • The most cost-effective model, Gemini 3 Flash, outperformed others in terms of speed and cost-efficiency.

5. Conclusion:

   • Although AI has potential, it still cannot fully replace skilled Site Reliability Engineers (SREs) for complex tasks like distributed tracing. The authors suggest that current AI capabilities are more hype than reality, and reliable software still requires human expertise.

The study encourages further exploration and contributions to improve AI performance in observability and distributed system management.

Apple will require all Patreon creators to switch to its in-app purchase system by November 1, 2026. This change means Apple will take a 30% cut from payments made through the Patreon app on iPhones and iPads. The deadline was originally set for November 2025 but has been extended.

Patreon is a platform where creators, like YouTubers, receive payments from fans. Apple sees these payments as digital goods and believes it deserves a commission. While Apple usually takes 30%, this drops to 15% for subscriptions that have lasted over a year.

Creators using the iOS app can either raise their prices to cover Apple's fees or keep prices the same and absorb the costs. Users can avoid the fee by paying through Patreon's website instead.

Patreon expressed disappointment with Apple's decision, and currently, only 4% of creators are still using the old billing system, with most having already switched. Patreon has provided more information for creators in a FAQ.

The blog discusses the enjoyment and benefits of creating niche solutions using 3D printing and software development. The author shares their experience of using a 3D printer to create a custom tool for personal use, emphasizing the satisfaction of making something tailored to their specific needs. They highlight that while many designs are available for download, creating unique solutions can be more fulfilling.

The author also compares this to software engineering, where developers can create and modify tools that fit their requirements perfectly. They acknowledge that sometimes it's more practical to use existing solutions, but the ability to create custom solutions is a significant advantage. Ultimately, the blog celebrates the freedom and creativity involved in making niche items, whether through 3D printing or software.

No summary available.

Summary of Beautiful-Mermaid

Beautiful-mermaid is a tool for rendering Mermaid diagrams into visually appealing SVGs or ASCII art. It is designed to be fast, customizable, and easy to use, without any dependencies on the DOM.

Key Features:

• Supports five types of diagrams: Flowcharts, State, Sequence, Class, and ER diagrams.
• Can output in SVG for web interfaces or ASCII/Unicode for terminal use.
• Offers 15 built-in themes, with the option to create custom themes easily.
• Allows live theme switching using CSS custom properties.
• Extremely fast, capable of rendering over 100 diagrams in under 500 milliseconds.

Installation: You can install it using npm, bun, or pnpm.

Usage:

• For SVG output, use the renderMermaid function.
• For ASCII output, use the renderMermaidAscii function.

Theming:

• Theming is straightforward, requiring only two colors: background and foreground.
• Additional enrichment colors can be defined for more detailed customization.
• Built-in themes are included, and you can easily create your own.

Supported Diagram Types:

• Flowcharts
• State Diagrams
• Sequence Diagrams
• Class Diagrams
• ER Diagrams

ASCII Options: You can customize ASCII output's appearance using various options for spacing and padding.

Attribution: The ASCII rendering engine is based on a project called mermaid-ascii, which was adapted and improved by the Craft team.

License: Beautiful-mermaid is licensed under MIT.

Tullie, the founder of Shaped, introduces ShapedQL, a new tool designed to simplify the process of ranking items in recommendation systems. He notes that while finding a large number of items is easy with current technology (like vector databases), ranking the best items remains complicated.

ShapedQL combines several steps into one SQL-like language, making it easier to create personalized feeds or systems with memory. The process works in four stages:

1. Retrieve: Find potential items using a combination of keywords and vectors.
2. Filter: Set hard limits (like ensuring items are in stock).
3. Score: Rank the results using real-time models for relevance.
4. Reorder: Ensure variety in the results to avoid showing similar items.

Tullie provides an example of a query in ShapedQL that replaces a lengthy Python code, demonstrating how it simplifies the process. Additionally, users can use Python or TypeScript SDKs if they prefer not to use SQL. He welcomes feedback on the syntax and the overall tool.

No summary available.

No summary available.

Summary of Turso: The SQLite Rewrite in Rust

Turso is a new database engine that rewrites SQLite using Rust, aiming to improve on its limitations. SQLite is known for its reliability and extensive testing, being widely used in various devices. However, it has issues, such as a closed test suite, limited external contributions, and challenges with concurrency and schema changes.

Turso maintains compatibility with SQLite's single-file database format but addresses these problems by introducing features like built-in encryption, support for concurrent writes (MVCC), and asynchronous I/O. It can function both as an in-process database and a networked database, making it versatile for different project needs.

Developers can also create custom extensions in Rust, similar to SQLite's extension capabilities. Turso aims to simplify the transition for projects that may grow beyond SQLite's limitations, reducing the need to switch to a more complex database like PostgreSQL later on.

Overall, Turso is positioned as an innovative solution for developers seeking a scalable and efficient database for both local and cloud applications.

This post discusses the effectiveness of supplements like Omega-3 and Vitamin D in treating depression compared to traditional antidepressants. Here are the key points:

1. Effectiveness of Antidepressants: Antidepressants have a standardized effect size of about 0.4, which is only a slight improvement (like going from a C to a C+ in school grades).

2. Omega-3 Supplements: Taking 1500 mg/day of Omega-3 (with at least 60% EPA) has a higher effect size of about 0.6, equating to a grade improvement from C to B–.

3. Vitamin D: A much more effective option is taking 5000 IU/day of Vitamin D, which has an effect size of 1.8, similar to going from a C to an A–, and is effective even for those without Vitamin D deficiency.

4. Safety and Dosage: Both supplements are safe, affordable, and can be taken alongside traditional antidepressants. Official recommendations for Vitamin D intake are considered too low, with newer research suggesting that higher doses (up to 10,000 IU) are safe.

5. Recommendation: For potential mental health benefits, it is suggested to take:

   • 5000 IU of Vitamin D daily
   • 1500 mg of Omega-3 (with at least 60% EPA) daily

6. Conclusion: Both Vitamin D and Omega-3 supplements may significantly improve mental health and are worth trying, especially considering their low cost and minimal side effects. Always consult a doctor before starting new supplements.

In summary, Vitamin D and Omega-3 are promising alternatives to traditional antidepressants for improving mental health.

The text provides a link to a webpage that likely contains frequently asked questions (FAQs) about a topic related to "500 Mile Mail." The content is not detailed, but it suggests that readers can visit the link for more information.

Virginia “Ginny” Oliver, known as Maine's "Lobster Lady," passed away at the age of 105 on January 21, 2026. She began fishing for lobsters at just eight years old and continued for nearly a century, becoming a beloved figure in her community and beyond. Maine's governor praised her remarkable life, hoping her legacy would inspire future generations of fishers.

Oliver enjoyed her work on the water and was recognized for her contributions to the lobster fishing industry, which has changed significantly over her lifetime. Lobster prices rose from 28 cents per pound when she started to over $6 today. Despite her fame and numerous accolades, including a special recognition from the governor, Oliver remained humble and fashionable, often wearing lipstick and earrings while fishing.

Her story resonated widely, even attracting attention from celebrities like actor Mark Hamill. Oliver's friend, journalist Barbara Walsh, remembered her as spirited and confident, always declaring, “I’m the boss.” She continued to fish until a fall at age 103. Oliver's legacy endures through her family and the many tributes honoring her impact on Maine's maritime history.

Summary of Mecha Comet Handheld Computer

The Mecha Comet is a customizable, handheld Linux computer aimed at tech enthusiasts. It features:

• Processor: 4-core and 6-core ARM64 options with integrated graphics.
• Memory: Choices of 2GB, 4GB, or 8GB RAM.
• Storage: Options for 64GB or 128GB flash storage, expandable via NVMe SSD.
• Display: 3.92" AMOLED touchscreen.
• Battery: 4100 mAh with USB Type-C charging.
• Connectivity: Supports Wi-Fi, Bluetooth, and has multiple ports (HDMI, USB-C).

Extensions and Modularity: The Comet allows for various extensions like keyboards and gamepads, which can be easily attached or removed. Users can also create their own hardware extensions.

Operating System: It runs on Mechanix OS, a custom Linux distribution, and can handle a wide range of Linux applications.

Use Cases: The Comet can serve various roles, such as a remote terminal, a cybersecurity toolkit, a DIY phone, and a tinkering lab for electronics projects.

Repairability and Support: Designed to be repairable, with available documentation for self-repairs and long-term support for parts.

Production Timeline: The Comet is currently on Kickstarter, with mass production expected to start in early 2026 and shipping by mid-2026.

The Comet is built by and for tech enthusiasts, focusing on openness and customization.

The Sovereign Tech Fund has invested €377,300 in Scala to enhance its long-term security, maintenance, and developer experience over the next two years. This initiative, coordinated by the Scala Center, aims to strengthen Scala as a critical part of digital infrastructure used in various industries, such as finance and public services.

The Sovereign Tech Agency, which funds this investment, supports open-source software development to ensure a resilient digital ecosystem. Since its launch, the fund has invested approximately €34 million in 95 important technology projects.

Key benefits of this investment include:

1. Security Audit: Conducting a security audit to identify vulnerabilities in Scala's core components.
2. Improvement of scoverage: Enhancing a tool that measures code coverage to increase code reliability.
3. Maintenance of Core Libraries: Ensuring the stability and compatibility of Scala's foundational libraries and APIs.
4. Modernization of Documentation: Updating core modules and improving API documentation for better clarity.
5. Update to Build Tool (sbt 2.0): Major updates to the build tool to improve developer productivity and support the latest Scala version.

The Scala Center will oversee this work, and they encourage community involvement to keep Scala strong. Updates on the progress will be shared regularly.

No summary available.

Summary: Decompiling Xbox Games Using PDB Debug Info

Decompilation involves taking a compiled game binary and breaking it down for analysis and rebuilding. This process has evolved from manual disassembly to using advanced tools that automate the splitting of object files and generate code without needing disassembly.

Currently, many decompilation projects focus on older PowerPC console games. The author is working on decompiling the PAL debug version of Halo 1, which contains helpful debug symbols in a Program Database (PDB) file. Unlike most projects that use DLLs for function hooking, the author aims for direct instruction-level matching, which is challenging due to the limitations of Xbox debug kernels.

The author created a custom splitter tool that utilizes section contributions from the PDB to accurately reconstruct object files. This process allows for better handling of data and code without guessing sizes and locations. The splitter was developed to work with Visual C++ 7 beta 2, which required modifying existing tools.

Control flow generation is crucial for decompilation as it helps identify all pointers in the binary. The author faced challenges with Microsoft-specific exception handling, which required manual adjustments.

After initial testing, the game failed to boot due to an issue with cache drive assignment. Further debugging revealed problems with negative relocations caused by compiler optimizations. The author manually fixed some of these errors, allowing the game to progress further but still encountering issues with pointers and crashes during gameplay.

In conclusion, the author encourages others to check out the GitHub repository for Halo and mentions plans to improve the decompilation process by incorporating more advanced features in the future.

Summary:

The article explores the forces that allow airplanes to fly, focusing on the shape and orientation of airfoils (the wings of aircraft). It explains how air flows around these wings and how that flow contributes to flight.

To understand airflow, the article discusses different methods to visualize it:

1. Arrow Representation: Arrows show the speed and direction of air flow at different points. Longer arrows indicate faster wind.
2. Markers: Small, light objects (like leaves) can illustrate air movement. These markers show how air flows by moving with it and leaving trails behind.
3. Color Coding: Colors represent the speed of air, with brighter colors indicating faster wind, providing a clearer view of airflow.

The article emphasizes that air can be hard to visualize directly because it is transparent. It also discusses how air particles move randomly but can average out to create still conditions. When wind blows, even at high speeds, the movement of individual air particles can be chaotic, but when averaged, they reveal a consistent flow.

Overall, the article aims to build an understanding of the physics of flight through the study of airflow and airfoil design.

The tool uses an easy-to-understand Lua syntax, making it user-friendly for beginners. It offers quick and efficient builds thanks to features like built-in caching, parallel compilation, and smart dependency analysis.

No summary available.

No summary available.

The blog post discusses the release of Trinity Large, a new AI model developed by Arcee AI, highlighting its architecture, training process, and various model variants. Key points include:

1. Model Variants: Three versions of Trinity Large are being released:

   • Trinity-Large-Preview: A lightly post-trained model ready for chat.
   • Trinity-Large-Base: The best pretraining checkpoint, trained on 17 trillion tokens.
   • Trinity-Large-TrueBase: An early checkpoint with no instruction data, useful for research purposes.

2. Model Specifications: Trinity Large has 400 billion parameters, using a sparse mixture of experts (MoE) design with 13 billion active parameters per token.

3. Training Efficiency: The model was trained on 2,048 Nvidia GPUs, making it one of the largest pretraining runs, completed in just 33 days. Emphasis was placed on cost-effective training while maintaining performance.

4. Data Curation: The model was trained on a diverse dataset curated by DatologyAI, including programming, STEM, and multilingual content.

5. Performance Metrics: Preliminary evaluations show that Trinity-Large-Preview performs well in various benchmarks, comparable to existing models.

6. Cost: The entire training effort cost around $20 million, which is relatively low compared to industry standards for similar projects.

7. Usage and Access: Trinity-Large-Preview is available for free during the preview period, with integrations ready for various coding platforms.

Overall, Trinity Large aims to deliver high performance while being cost-effective and accessible for users interested in advanced AI capabilities.

I'm sorry, but I can't access external links directly. However, if you provide me with the text you want summarized, I'd be happy to help!

No summary available.

No summary available.

No summary available.

No summary available.

The author created a tool called Sherlock to see what Claude Code sends to the API. They found it enjoyable to watch the token count increase in real-time. Sherlock acts as a middleman between LLM tools and the API, displaying every request on a live dashboard and automatically saving copies of each prompt in markdown and JSON formats.

No summary available.

The text discusses a situation involving a well-known researcher who may have hidden details about a deadly poisoning. It raises questions about the integrity of scientific research and the potential consequences of obscuring important information. The key points highlight concerns about transparency and accountability in research practices.

Summary of Oban.py Overview

Oban, originally a job processing framework in Elixir, is now available in Python. This article explores its functionality and compares it to the Elixir version.

Key Features:

• Job Processing: Oban lets you insert and process jobs directly using a database, allowing for transactions where job creation and processing are rolled back if an error occurs.
• Job Queues: It supports local and global queue limits and stores completed jobs and their results. It includes built-in scheduling features.
• Versions: There are two versions—Open Source (OSS) Oban-py and commercial Oban-py-pro. The OSS version has limitations, such as single-threaded execution and no bulk operations, while the Pro version offers enhanced features and true parallelism.

Job Processing Flow:

1. Job Insertion: Jobs are inserted into the database and marked as 'available.'
2. Notification: A notification system alerts job processors when new jobs are available.
3. Job Fetching: Jobs are fetched using SQL queries with locking mechanisms to prevent conflicts between simultaneous processors.
4. Execution: Jobs are executed asynchronously, and their outcomes are tracked for completion or retry.

Background Processes:

• Leader Election: In a cluster, one node is elected as the leader to manage job cleanup and orphaned jobs, using PostgreSQL for coordination.
• Job Rescue: Jobs that are stuck executing due to worker failures can be rescued and re-queued after a specified time.
• Pruning: The system periodically deletes old jobs to manage database size.

Error Handling: Jobs that fail due to exceptions can be retried based on configurable backoff strategies to prevent system overload.

Conclusion: Oban.py is a robust job processing tool for Python, ideal for those who prefer a database-backed solution without needing additional infrastructure. The OSS version is suitable for small projects, while the Pro version is recommended for larger applications due to its advanced features.

No summary available.

No summary available.

No summary available.

Summary of Spin-Locks and Their Issues

Introduction: The author discusses recurring problems with spin-locks in multi-threading projects and aims to educate others to avoid these mistakes. Many have written on this topic, but the author believes there's always more to learn.

Basic Spin-Lock Implementation: A simple spin-lock is often implemented using a boolean variable. However, this can lead to race conditions where multiple threads think they have acquired the lock. Using atomic operations can prevent these issues, but proper implementation is crucial.

Problems with Spin-Locks:

1. High CPU Usage: Spin-locks can waste CPU resources by continuously checking for lock availability, preventing power-saving features.
2. Increased Memory Traffic: As more threads contend for the lock, memory operations can become slower due to out-of-order execution and cache coherence penalties.
3. Inefficient Waiting: Instead of busy-waiting, it's better to signal the CPU to wait for a notification when the lock becomes available. This can be done using instructions like PAUSE and OS primitives like futex in Linux or WaitOnAddress in Windows.

Backoff Strategies: Implementing a backoff strategy (like exponential backoff) can help manage contention. This involves increasing the wait time between retries, allowing better CPU resource management.

Priority Inversion Issues: Spin-locks can lead to priority inversion, where a low-priority thread holds a lock needed by a high-priority thread, causing the high-priority thread to spin indefinitely.

False Sharing: Threads can experience performance hits due to false sharing when they access different variables that share the same cache line. Proper alignment and padding can help mitigate this.

Final Recommendations:

• Avoid using custom spin-locks unless absolutely necessary; prefer OS primitives.
• Keep critical sections small and minimize contention.
• Use backoff strategies and notify the OS when waiting.

In conclusion, while spin-locks can be useful in low-contention scenarios, they often lead to performance pitfalls. It's best to rely on established operating system mechanisms for thread synchronization.

Summary:

Many companies managing devices across multiple customer sites face a common issue: consumer routers and ISP modems use the same default subnet (like 192.168.1.0/24). This creates conflicts when trying to access devices like cameras or NVRs, as two sites may have devices with the same IP address. When this happens, routing becomes ambiguous, making it impossible to reach both devices.

Traditional solutions, like port forwarding and re-addressing, often fail. Port forwarding can break easily if the ISP modem is reset, and re-addressing all customer networks is impractical.

A better approach is using overlay addressing with 1:1 NAT. This involves placing a device (like a Raspberry Pi) on the customer's network that connects to a secure mesh network via WireGuard. Each device is assigned a unique overlay IP address from a reserved range (100.64.0.0/10), which avoids conflicts. The gateway device translates between the overlay address and the local address, allowing seamless communication without changing local device settings.

This method significantly improves security by hiding devices from the public internet and eliminates the need for manual reconfiguration when ISP equipment changes. It also simplifies adding new sites, as the gateway can automatically connect and register devices.

Netrinos is a configuration management tool that automates this process, ensuring consistent setup and operation across many sites without manual intervention. This solution effectively resolves the subnet conflict issue, allowing service companies to manage devices efficiently.

The provided text contains links but does not include any specific content to summarize. If you have a specific text or information from those links that you would like summarized, please share it, and I will help you with that.

No summary available.

The article discusses whether running wears out the bodies of both professional and amateur athletes. Running is a popular sport, with events like marathons seeing record participation. However, both professional and amateur runners face physical and mental stress during training and competitions.

Key Points:

1. Training Intensity: Professional runners often train intensely, sometimes up to three times a day, leading to high physical demands. Their careers are usually brief, and they face significant risks of injury due to the stress on their bodies.

2. Amateur Runners: While amateur runners may not train as intensely or frequently as professionals, they often experience similar stress and risks of injury, especially when preparing for events like marathons or trail runs. Many amateurs push themselves to achieve personal bests, which can lead to exhaustion and injuries.

3. Injury Risks: Amateurs are more likely to suffer stress-related injuries compared to professionals, who have better training and medical support. Pro athletes are accustomed to heavy training loads and have built their bodies to withstand the stress over time.

4. Mental and Physical Stress: Both types of runners experience mental stress alongside physical wear. Professionals must constantly push their limits, while amateurs often juggle training with other life responsibilities.

5. Importance of Good Coaching: Proper guidance and coaching are crucial for all runners to train safely and effectively, helping to manage the risks associated with running.

Overall, both professional and amateur runners must be mindful of the physical and mental toll running can take on their bodies, and it's important to approach training with care and proper support.

No summary available.

No summary available.

No summary available.

No summary available.

The author discusses an improved workflow for running repeated command sequences in the terminal, particularly when working with complex, multi-process applications. Instead of manually entering commands or relying on shell history, they suggest using a dedicated file (like make.ts) for interactive scripting.

Key Points:

1. Use a Script File: Write commands in a file rather than typing them directly in the terminal. This allows for easier editing and management of commands.

2. Simplicity: The goal is not to create perfect scripts but to record useful commands for future use. Complex commands can be refined and made reusable.

3. Benefits:

   • Easier to manage long commands with a text editor.
   • Can run multiple commands at once without messy concatenation.
   • Facilitates gradual improvement of commands and workflows.
   • Simplifies managing multiple processes without needing to switch between terminal windows.

4. File Management: Use a consistent filename (make.ts) for simplicity, and make it executable. This helps maintain a clear workflow across projects.

5. Language Choice: The author prefers TypeScript for scripting due to its ease of use and support for concurrency.

6. Example Usage: The author provides a concrete example of using make.ts to automate a series of commands for benchmarking a software application, showing how the approach allows for easy adjustments and expansions over time.

In summary, the author encourages capturing terminal commands in a dedicated script file to improve efficiency and manageability, especially for complex tasks.

Summary:

This platform is designed for easily deploying and managing Python and Node.js backends without needing extensive technical knowledge. Key features include:

• Open Source: Fully open-source solution.
• One-Click Deploy: Connect your GitHub account and deploy your project instantly without dealing with Docker or DevOps.
• Auto Detection: Automatically configures your project based on the detected language (Python or Node.js).
• Instant Subdomains: Each project gets a unique URL for quick access.
• Real-time Logs: View logs directly from your running application to help with debugging.
• Flexible Compute Options: Adjust memory, timeout, and storage based on your needs.
• Pay Per Request: Only pay when your code is running, with no idle costs.

How It Works: You can deploy in four simple steps:

1. Connect your GitHub account and select a repository.
2. Configure your project settings.
3. Customize options like memory and environment variables.
4. Click deploy to make your backend live.

Pricing: There’s a free tier available, and you can scale as you grow without hidden costs.

Get started quickly by connecting your repository and going live without managing complex infrastructure.

The Great Refactor Initiative aims to improve the security of critical code by using artificial intelligence (AI). Memory-safety issues are responsible for 70% of software vulnerabilities. To combat this, the initiative promotes the use of Rust, a programming language known for its memory safety.

On January 22, 2026, Microsoft announced the public preview of the Windows App Development CLI (winapp), a new open-source command-line tool designed to streamline the development of Windows applications. This tool is ideal for developers using various frameworks, such as Electron, C++, .NET, Rust, or Dart, especially those not using Visual Studio.

Key features of the winapp CLI include:

1. Easy Environment Setup: The winapp init command sets up the development environment with necessary SDKs and configurations in one step, eliminating tedious manual processes.

2. Package Identity for Debugging: Developers can add package identity to their executables with a single command, simplifying the debugging process for features that require it.

3. Managing Manifests and Certificates: The CLI automates the creation of app manifests and development certificates, making it easier for new developers to get started.

4. Simplified MSIX Packaging: When ready to release, packaging applications into MSIX format is straightforward with a single command.

5. Electron Integration: For Electron developers, the CLI provides tools to integrate Windows features seamlessly and simplifies debugging.

The winapp CLI is currently in public preview, and developers are encouraged to provide feedback. To get started, it can be installed via WinGet or npm, with guides available for various programming languages.

The author shares their experience of switching from Windows to Linux after years of frustration with Microsoft's operating system. They began using Windows with their first computer at age six and had always found it comfortable and familiar. However, over time, they became increasingly annoyed with intrusive ads, forced updates, and various bugs that disrupted their work.

Their breaking point came after a problematic Windows update (24H2) that caused severe issues with their computer, leading to a frustrating cycle of trying to find fixes that didn’t work. The author realized that using Windows had become too much work, with constant struggles against updates and bugs.

After much consideration, they decided to switch to CachyOS, a Linux distribution. Initially, there were challenges, such as issues with sleep mode and software compatibility, particularly with music production tools. However, they found that they could resolve problems more effectively on Linux and discovered viable alternatives for their software needs.

The author acknowledges that while Linux has its own learning curve, it ultimately provides a more stable and user-friendly experience compared to the ongoing issues with Windows. They highlight improvements in web browsing, software development, content creation, music production, gaming, and overall system performance on Linux.

In conclusion, the author feels compelled to switch to Linux due to Microsoft's decline in user satisfaction and the increasing frustrations with Windows. They urge others to consider making the switch as they believe the tools and support for Linux have improved significantly.

The UK Government spent £4.1 million on an "AI Skills Hub" created by PwC, aiming to help 10 million workers gain AI skills by 2030. However, the website has significant issues: the user interface is poor, and it mainly links to existing external resources, like Salesforce’s Trailhead, without providing original content.

PwC acknowledged that the site doesn't meet accessibility standards, making it confusing for users. Additionally, it incorrectly presents information about UK law, such as confusing "fair use" with the UK's "fair dealing."

The enrollment process is poorly designed, with a tiny button that's hard to find, and some features are inaccessible. This situation has raised concerns about the waste of taxpayer money, especially when there are pressing needs in public services like healthcare and education. Critics argue that local web development businesses could have delivered a better product for much less.

Externalized Properties is a strong configuration tool that helps you get settings from different sources like files, databases, git repositories, and even custom options.

WhatsApp has enhanced its security by implementing a new feature built with the Rust programming language, aimed at protecting users from malware threats. This initiative comes as part of WhatsApp's ongoing efforts to secure the messaging platform, which already provides end-to-end encryption for over 3 billion users.

The motivation for this upgrade stems from past vulnerabilities, like the 2015 "Stagefright" bug in Android, which highlighted the risks associated with media file processing. To combat such vulnerabilities, WhatsApp has transitioned some of its media handling functions from C++ to Rust, a language known for its memory safety, which helps prevent security issues.

The development process involved creating a Rust version of an existing media library while ensuring it matched the performance of the original C++ version. This shift allowed WhatsApp to reduce code size and improve efficiency while enhancing security measures.

WhatsApp also introduced a system called "Kaleidoscope," which implements various checks to identify potentially harmful files, further safeguarding users from malware. This rollout marks the largest deployment of Rust code across different devices and platforms, emphasizing WhatsApp's commitment to advancing security through memory-safe programming.

In addition to adopting Rust, WhatsApp employs various strategies to identify and minimize security risks, including internal audits and a Bug Bounty program. Overall, WhatsApp is dedicated to improving its security measures and plans to accelerate the use of Rust in the future.

Google has updated its Chrome browser to include a new side panel that allows users to interact with its AI model, Gemini. This feature enables AI-assisted browsing, where users can delegate tasks to Gemini while keeping their main work open.

The Gemini button, located in the top right corner of Chrome, helps users multitask by allowing them to chat with the AI while browsing. For example, users can ask Gemini to find and add items to their shopping cart on sites like Etsy based on specific criteria.

Chrome's new features also integrate with various Google apps, enhancing its capabilities. Users can expect future updates that allow Gemini to remember past interactions for better assistance.

However, some websites are implementing measures to restrict automated browsing, which could limit the effectiveness of this feature. Google plans to ensure human confirmation for purchases made through the AI to address these concerns. Overall, Chrome’s new AI features aim to streamline online tasks and improve user experience.

Summary: Writing a .NET Garbage Collector in C# - Part 6: Mark and Sweep

This article continues the series on building a .NET garbage collector (GC) in C#. The focus here is on the "mark and sweep" phase of garbage collection.

1. Mark Phase: The goal is to identify all objects that are reachable from the application's roots. Roots include local variables, thread storage, GC handles, and the finalization queue. The marking process starts from these roots.

2. ScanContext: This structure helps manage the scanning of roots and includes details about the thread and scanning context.

3. Conservative Mode: This mode allows the GC to track memory less precisely, which can complicate garbage collection. The article doesn't plan to implement this mode in the custom GC.

4. Marking Objects: The marking is done using a depth-first search approach. Objects are marked by setting a bit in their method-table pointer. A stack is used to traverse and mark reachable objects.

5. Sweeping Phase: After marking, the GC scans the heap for unmarked objects, which are considered unreachable. These objects are cleared from memory. The GC also resets marked objects to their original state.

6. Implementation Details: The article includes code examples for methods like Mark, Unmark, and the traversal of objects in the heap.

The current implementation does not yet handle "interior pointers" or other root types, which will be addressed in future articles. The complete code is available on GitHub for reference.

On January 23, a Waymo robotaxi hit a child near an elementary school in Santa Monica, resulting in minor injuries to the child. The National Highway Traffic Safety Administration (NHTSA) is investigating the incident. Waymo reported that the vehicle was traveling at 6 mph after braking from 17 mph when the child suddenly entered the road from behind a parked SUV. The child was able to walk to the sidewalk after the accident, and Waymo called 911.

This incident comes amid ongoing investigations into Waymo's robotaxis for illegally passing school buses. The NHTSA is examining whether the robotaxi acted safely near the school during busy drop-off hours with many children around. Waymo claims that a human driver in the same situation would have hit the child at a higher speed of around 14 mph, but did not provide a detailed analysis of the crash.

No summary available.

The text is about a new project called Shelvy, which is a free app that helps users organize their books. You can keep track of books you're currently reading, want to read, or have finished. The app is ad-free, does not track users beyond basic sign-in, and was created as a fun weekend project. The creator is seeking feedback on the user experience and feature suggestions. You can check it out at shelvybooks.com.

No summary available.

No summary available.

The text discusses the importance of optimizing routine tasks in the workplace and how to determine whether it's worth investing time in making improvements. Despite having many technologies available, many offices still struggle with inefficiencies.

The key points are:

1. Diminishing Returns: There's a limit to how much time you should spend on improving a task before you stop seeing benefits. For example, if you save one minute on a daily task, you can justify spending up to a full day improving it over five years.

2. Corporate Setting: In a corporate environment, the impact of inefficiencies can be significant since they affect many employees. For instance, if a task causes a delay for one person daily, it can be worth spending hours to fix it if it saves minutes for many people.

3. Cost of Inefficiencies: The cost of inefficiencies scales with the number of employees, while fixing issues generally costs the same regardless of how many benefit. This means that improvements become increasingly valuable as more people are affected.

4. Investment in Tools: Companies should allocate a portion of their resources to improving internal tools and processes. Buying solutions can provide immediate benefits, but many companies often underinvest in this area.

5. Conclusion: When considering whether to spend time on improving a task, especially in small teams, the answer is often yes, as the potential savings can lead to significant productivity gains.

Overall, the message encourages organizations to recognize and address inefficiencies to enhance productivity.

The author is sharing a project they created about ten years ago, which serves as their main tool for managing terminal windows. They have been using it alongside terminal and tmux workflows and believe others might find it helpful. They are also interested in hearing about other people's terminal workflows and similar tools they use.

SHDL (Simple Hardware Description Language) is a basic language created to simplify hardware description by focusing on fundamental concepts. It avoids complex features like arithmetic operators or automatic bit widths, requiring users to explicitly build circuits with logic gates and wires. The main aim is to enhance understanding of digital systems by removing abstractions.

Accompanying SHDL is PySHDL, a Python tool that allows users to load circuits, manipulate inputs, run simulations, and view outputs. Although SHDL compiles circuits to C for efficiency, it remains a straightforward and transparent language.

SHDL is not intended to replace existing languages like Verilog or VHDL. Instead, it serves educational purposes, helping people learn digital logic, experiment with hardware description languages (HDLs), and visualize how complex hardware is constructed from simple components.

Feedback is welcomed on the language's design, its limitations versus educational value, and the usefulness of this simplified HDL approach.

Examples of SHDL components include:

1. Full Adder: A basic circuit that adds two bits and a carry input.
2. 16-bit Register: A register that stores a 16-bit value when a clock signal is high.
3. 16-bit Ripple-Carry Adder: A circuit that adds two 16-bit numbers using multiple full adders.

For more information, visit the SHDL GitHub repository or find PySHDL on PyPI.

Summary of "Package Management is a Wicked Problem"

The concept of "wicked problems," introduced by Horst Rittel and Melvin Webber in 1973, describes complex issues that are hard to define and solve because each stakeholder has different views of success. Package management in software development fits this description due to the vast number of packages and their versions, leading to challenges in improving tools and processes.

Key points about wicked problems in package management:

1. Ambiguity: The term "package management" means different things to different people, leading to varied interpretations and solutions.

2. No Clear End: There’s no defined point at which a package manager is "finished," as they constantly evolve with ongoing feature additions.

3. Subjective Solutions: There are no absolute right or wrong solutions; what works well for one group may not for another.

4. Unpredictable Consequences: Decisions made in package management can have unforeseen long-term effects that are often not visible until much later.

5. Irreversible Decisions: Once certain changes are made, they cannot be undone without causing significant disruptions.

6. Diverse Goals: Different stakeholders have conflicting priorities, making it hard to find a single solution that satisfies everyone.

7. Unique Contexts: Solutions from one ecosystem (like npm) may not work in another (like Python) due to differing histories and needs.

8. Underlying Issues: Package management problems often stem from broader issues, like funding for open-source projects or market pressures.

9. Conflicting Explanations: Different stakeholders often have various theories about the causes of problems, leading to differing proposed solutions.

10. No Room for Error: Designers of package managers must be careful, as mistakes can lead to widespread consequences.

Despite the challenges, improvement in package management is crucial for better security and efficiency. Rittel and Webber suggested that to address wicked problems, stakeholders should collaborate, communicate effectively, and focus on trade-offs rather than perfect solutions. This perspective encourages the exploration of shared protocols for package management instead of seeking a one-size-fits-all tool.

The author of this text runs a marketing agency and emphasizes that their tools, like AI software and SEO platforms, are not their primary advantage. Instead, their strength lies in unique insights and experiences that can't be easily replicated by AI. As AI becomes more common in content creation—54% of LinkedIn posts and 15% of Reddit posts are AI-generated—the challenge has shifted from producing content to ensuring that the content is original and valuable.

The author introduces a new approach to content creation, where the focus is on unique knowledge and experiences that aren't available in public data. They advocate for a "content differentiation filter" to assess whether a piece of content is genuinely unique or just generic. This involves asking if an AI could create the same content from publicly available information.

Additionally, the author highlights the importance of "Proof of Work," meaning content should reflect significant effort and thoughtfulness rather than being quickly generated. They suggest evaluating content using an "Effort Scorecard" to ensure it contains unique elements and insights.

The key takeaway is that having valuable and original insights is the real competitive advantage in content creation, not just the ability to write well. AI tools are useful for production, but the true differentiation comes from knowledge gained through experience and direct engagement with customers.

The text discusses the creation of a parametric CAD tool called vcad, developed in Rust. The author, who designs parts for robots, wanted a more efficient workflow than traditional CAD software, which often involves repetitive clicking and adjustments.

Key Points:

• vcad Overview: vcad allows users to design parts using code, focusing on geometry and using simple operations like addition and subtraction to create complex shapes.

• Example Usage: The tool provides a straightforward API for creating parts, such as cubes and cylinders, and allows for easy modifications. For instance, changing a dimension automatically regenerates the part.

• Multi-Material Export: While STL files are common, vcad can also export scenes in glTF format, retaining material information for better visualization.

• Advantages of Rust: The geometry engine ensures high-quality mesh outputs. Rust's features, like strong typing and testing capabilities, enhance reliability and performance, allowing for thorough testing and fewer errors.

• AI Integration: vcad is designed to be user-friendly for AI coding agents, enabling them to generate parts, export them, and render previews automatically without human intervention.

• Future Developments: The tool is still in its early stages (version 0.1) and plans to introduce more features like fillets, threads, and an interactive web GUI.

Overall, vcad aims to streamline the CAD process by allowing users to code their designs, improving efficiency and precision.

No summary available.

The author shares their favorite German word, "neugierig," which means curious and reflects their desire to learn new things. They used to follow the news closely, curating sources to stay informed about global events and the tech industry. However, after reflecting on their habits, they realized that following the news often left them feeling stressed rather than informed, as most stories focused on negative events that didn't impact their daily life.

They decided to stop following daily news updates but still want to stay informed about local happenings. They now read a newsletter about events in their city, which also helps improve their German skills. For broader news, they plan to subscribe to a magazine that covers important events every few months, focusing on quality over sensationalism.

Since stopping daily news consumption, the author has read more books and feels happier, finding new ways to satisfy their curiosity without the stress of constant news updates.

The text discusses the rapid advancements in AI, particularly focusing on ChatGPT, which can generate human-like text based on vast amounts of data it has processed. This development raises questions about the future roles of humans and AIs in various tasks, including writing.

Key points include:

1. The Emergence of ChatGPT: ChatGPT can produce text that mimics human writing by understanding patterns from extensive training data. This challenges the notion that only humans can create original content.

2. Human Involvement: While AIs can generate text, they still rely on human-defined goals to guide their outputs. Humans need to prompt AIs to initiate and shape their tasks.

3. Automation Trends: Historically, tasks that required human effort have gradually been automated. However, it is uncertain whether all tasks can ultimately be automated, as some complexities may remain beyond reach.

4. Computational Irreducibility: This concept suggests that certain complex behaviors in systems cannot be simplified or predicted without going through all their processes. It implies that while AIs can perform complex tasks, their behavior may not always be fully understandable.

5. Implications for the Future: The interaction between humans and AIs raises philosophical questions about the future of work and creativity. As AIs take over more tasks, it is essential to explore how humans will fit into this evolving landscape and what roles will remain uniquely human.

Overall, the text emphasizes that the relationship between AIs and humans will be complex and intertwined with deep scientific and philosophical questions.

No summary available.

LignoSat was launched from the International Space Station on December 9, 2024, but its communications did not work. Despite this setback, the launch was still significant because LignoSat was primarily made of magnolia wood. The builders at Kyoto University chose this material for its strength, ease of use, and ability to withstand the harsh conditions of space, as shown by earlier experiments on the ISS.

The provided link leads to a GitHub repository named "pinecone-explorer." This repository is likely to contain resources or tools related to Pinecone, which is a vector database used for machine learning and AI applications. You can visit the link for more details and to explore the available content.

Your computer network has shown unusual activity. To proceed, please confirm you're not a robot by clicking the box below.

Reasons for This Message:

• Ensure your browser supports JavaScript and cookies, and that they aren't blocked.

Need Help?

• Contact our support team and provide the reference ID: 21b36c5d-fd2d-11f0-b85e-133a5074c001 for assistance.

You can also subscribe to get important global market news from Bloomberg.com.

I'm sorry, but I can't access external links or specific content from them. However, if you provide me with the text you want summarized, I'll be happy to help!

Summary of Notes on Starting to Use Django

• Learning Django: The author is excited to learn Django, a popular web framework, after previously trying Rails. They appreciate Django's straightforwardness and explicit structure, making it easier to return to old projects.

• Fewer Complexities: Unlike Rails, Django has fewer hidden conventions, helping the author navigate their projects more easily.

• Built-in Admin Interface: Django provides a customizable admin interface for managing database data, which the author finds useful.

• Enjoying the ORM: The author has changed their opinion on Object-Relational Mappers (ORMs). They appreciate Django's ORM for simplifying database queries and making them more readable.

• Automatic Migrations: Django automatically generates migration scripts when changes are made to the data model, which the author finds convenient, especially since they are frequently updating their model.

• Good Documentation: The author enjoys Django's documentation, which is well-structured and helpful, encouraging them to read it more.

• Using SQLite: The author prefers SQLite for their projects due to its simplicity and ease of backup compared to Postgres.

• Built-in Features: Django includes many built-in features, such as email handling and security measures, which simplify development.

• Settings File Concerns: The author feels a bit overwhelmed by the settings.py file, worrying about potential typos in variable names.

• Future Learning: They are eager to learn more about Django, especially form validation and authentication systems, and appreciate encouragement from others to explore ORMs.

Overall, the author is enjoying their experience with Django and looks forward to further exploration and learning.

The author enjoys seeing small games created by others on a site and has made a directory or arcade to keep track of them. They invite others to check it out, add any missing games, and share their thoughts.

Notte has developed a tool called Demonstrate Mode, designed to create browser automation scripts more efficiently.

Key points:

• Users perform their workflow in a remote browser, and the tool records the actions.
• These interactions are converted into deterministic automation code, meaning they will behave predictably.
• Unlike other tools, Notte manages the infrastructure, including remote browsers and authentication.
• The generated code can be deployed with built-in features like logging, retries, and fallback options.
• While agents are helpful for testing and dynamic actions, the goal is to have stable and versioned code for production use.

For a demo, you can check out the link provided.

• Andrea & Lucas, Founders of Notte

California is considering a one-time wealth tax on its richest residents, which could significantly impact the state's economy and tech industry. The tax, proposed in response to a federal tax cut that left a $20 billion healthcare budget shortfall, aims to have billionaires pay a fairer share, as they currently contribute very little in state income taxes compared to their wealth.

However, many wealthy individuals and tech leaders claim this tax could drive them out of California, potentially harming the state's innovation and startup ecosystem. Some billionaires have already begun moving their assets out of the state, while others insist they will stay regardless of the tax.

The proposal includes measures to prevent capital flight, such as making the tax retroactive and allowing for flexible payment options. Critics argue that the tax may not be a one-time measure and could lead to future tax increases. Supporters believe the benefits of funding healthcare for low-income Californians outweigh the risks of losing some billionaires.

Ultimately, the decision has significant implications for California's future, balancing the needs of its wealthiest residents against those of its most vulnerable citizens.

No summary available.

No summary available.

No summary available.

No summary available.

The website uses a system called Anubis to protect against automated bots that scrape content. This system employs a method similar to Proof-of-Work, which makes it harder for bots to access the site by adding extra tasks that are easy for regular users but costly for bots. Currently, this is a temporary solution while developers work on better ways to identify and block automated browsers. To access the site, users must enable modern JavaScript, as some plugins that block JavaScript may interfere.

SoundCloud Data Breach Summary

In December 2025, SoundCloud revealed that it experienced unauthorized activity on its platform, exposing data from about 20% of its users. This breach affected approximately 30 million unique email addresses, along with names, usernames, avatars, follower counts, and sometimes users' countries. The attackers threatened to extort SoundCloud and later released the data publicly.

Compromised Information:

• Email addresses
• Names
• Usernames
• Avatars
• Follower statistics
• Geographic locations

Breach Details:

• Affected Accounts: 29.8 million
• Date of Breach: December 2025
• Added to HIBP: January 27, 2026

Recommended Actions:

1. Change your password for affected accounts immediately.
2. Enable Two-Factor Authentication (2FA) for extra security.
3. Consider using a password manager like 1Password to create and store strong passwords.

The author shares their frustrating experience with HSBC regarding email communication. Despite having the correct email address linked to their account, HSBC sent a letter claiming that emails were "returned undelivered" and requested an update to the email address.

After a lengthy chat with customer service, it was confirmed that the email address was correct, and the author suggested that HSBC improve their letter templates to avoid confusion. The author suspects that HSBC relies too heavily on tracking pixels in emails to determine if customers are receiving their messages. These tracking pixels can invade privacy by revealing when and how often emails are opened, and HSBC's implementation of these pixels poses a security risk as they use unencrypted connections.

The author argues that instead of assuming email addresses are invalid based on tracking data, HSBC should directly verify receipt of emails in a more secure and transparent manner. They conclude that HSBC should abandon such invasive tracking practices and communicate more clearly with customers.

Summary of Jellyfin LLM/AI Development Policy

The Jellyfin project recognizes the growing use of AI tools like LLMs (Large Language Models) in software development. However, the project maintains a strong focus on code quality, which can be compromised by improper use of these tools. Here are the key points of the policy regarding contributions that involve LLMs:

1. Direct Communication: Contributors must use their own words when making comments, requests, or reports in the community. LLM-generated text is not allowed in these contexts. An exception is made for translations, which must be clearly noted.

2. Code Contributions:

   • Contributions must be clear and focused. Large changes should be broken into smaller, manageable parts.
   • Code should be clean and meet quality standards; excessive or poor formatting will lead to rejection.
   • Contributors must understand their changes and be able to explain them without relying on LLM output.
   • All code must be tested and functioning correctly before submission.
   • Feedback from reviewers must be addressed by the contributor, who should demonstrate understanding of the changes.

3. Community Projects: For projects shared within the Jellyfin community:

   • Projects primarily developed with LLMs must be labeled as such.
   • Contributors must respect licensing and credit original authors appropriately.
   • The community is encouraged to avoid targeting LLM-generated tools unfairly.

Overall, while the use of LLMs is permitted as a supportive tool, contributors are expected to engage deeply with their code and maintain high standards of quality.

Zoo veterinarians have been trying to castrate hippos for over 90 years to manage their populations and reduce male aggression. However, hippos' testes are difficult to access because they can shift and retract inside the body. A new method developed by a team of vets in Europe and Israel involves sedating the hippo, positioning it correctly, and using ultrasound to locate and guide the testes for surgery. They successfully castrated all 10 hippos they operated on, with only one animal experiencing complications. Thanks to the hippos' strong healing abilities, all the surviving hippos returned to their environments quickly, showing no negative effects from the surgery.

Summary of Technical Writing Courses

• Overview: The collection of technical writing courses is designed for engineers and professionals to enhance their technical documentation skills.

• Course Offerings:

  • Courses cover planning and writing technical documents.
  • They are based on what Google engineers learn.
  • Additional resources, like style guides, are available.

• Target Audience:

  • Aimed at software engineers, computer science students, and related roles (e.g., product managers).
  • Basic English writing skills and some coding background are recommended, but expertise is not required.

• Course Structure:

  • Courses include pre-class lessons and in-class lessons with a facilitator.
  • Pre-class lessons are valuable on their own, while in-class sessions enhance learning.
  • Organizations usually lead in-class lessons, but Google sometimes offers free sessions.

• Facilitator Resources: Guides and resources for teaching in-person lessons are provided for facilitators.

A Korean high school senior has built a browser engine from scratch using C++ to learn how browsers function. This project took 8 weeks and involved a lot of debugging. The engine includes features like HTML parsing, CSS handling, a layout engine, image loading and caching, and navigation history.

The most challenging aspects were string parsing, rendering, and managing image caching and layout changes. From this experience, the developer learned the importance of systematic debugging, the value of releasing software with known issues instead of striving for perfection, and the significance of asking "Why?". The project consists of about 3,000 lines of C++ code and is open for feedback on its architecture and best practices.

You can find the code on GitHub: mini_browser.

This text discusses a study on automating shopping on Amazon using different AI models. The main focus is on comparing a cloud-based AI model (Demo 0) with a local AI model (Demo 3) to see if a smaller local model can perform the same tasks effectively.

Key Points:

1. Objective: Test if a local model with ~3 billion parameters can complete Amazon shopping tasks using only structured data from the website, rather than larger cloud models.

2. Experiment Overview:

   • Four runs were conducted, comparing the cloud model (Demo 0) with the local model (Demo 3).
   • Demos 1 and 2 served as intermediate tests.

3. Results:

   • Demo 0 (cloud):
     • Success: 1 out of 1 run
     • Tokens used: 19,956
     • Time taken: ~60 seconds
     • Cost: API fees (variable)
   • Demo 3 (local):
     • Success: 7 out of 7 steps
     • Tokens used: 11,114
     • Time taken: 405 seconds
     • Cost: $0 (local processing)

4. Comparison: The cloud model is faster but incurs costs, while the local model is slower but free to run.

5. Methodology:

   • DOM Pruning: Only relevant data is processed, reducing unnecessary information.
   • Planning and Execution: A planner generates intents and an executor performs actions based on those intents.
   • Verification: Each action is checked with assertions to ensure progress. If an assertion fails, the system takes corrective measures.

6. Conclusion: To improve the reliability of automated agents, it is more effective to limit the data they use and implement step-by-step verification, rather than just using larger models.

In summary, the study shows that a smaller local model can successfully automate Amazon shopping tasks by focusing on data management and verification, rather than solely increasing model size.

The Square Kilometre Array (SKA) Observatory, set to start scientific operations in 2028, will be the largest and most sensitive radio telescope in the world. It will consist of 197 dishes and 131,072 antennas located in South Africa and Australia, working together to explore significant astronomical questions, such as galaxy formation and the existence of extraterrestrial life.

The development of the SKA has been influenced by smaller experiments known as "precursors" and "pathfinders" that have been testing technologies and advancing scientific understanding. These include four precursor telescopes: MeerKAT and HERA in South Africa, and ASKAP and MWA in Australia.

MeerKAT has already produced impressive images of the Milky Way's center, revealing more details than ever before. HERA aims to study the early universe's hydrogen signatures, while MWA is known for its wide-field view, discovering new types of cosmic events. ASKAP can survey large sky areas quickly and has made significant findings, including new classes of radio sources.

However, the SKA faces challenges from the increasing number of satellites launched for communication, which interfere with astronomical observations. To address this, the SKA Observatory is collaborating with various organizations to mitigate satellite interference. Overall, the findings from precursor telescopes are expected to greatly enhance the SKA's future discoveries.

Summary:

Mold is a persistent problem for museums, threatening their valuable collections. Recently, a new type of mold called xerophiles, which thrives in low humidity, has emerged as a significant threat. These molds can survive in harsh conditions and are increasingly found in various cultural heritage sites, including museums and libraries.

Curators often keep mold infestations secret due to stigma and fear of funding loss, making it hard to address the issue. Climate change is exacerbating the problem, with wetter conditions in some areas leading to mold outbreaks. In Denmark, museums have invested heavily in climate-controlled storage to combat traditional molds, but this has inadvertently created ideal conditions for xerophilic molds.

Researchers are starting to identify and understand these molds, which can damage artworks and artifacts by consuming organic materials or even nutrients from dust. Notable cases include damage to Leonardo da Vinci's self-portrait and ancient frescos in Kyiv.

Detecting xerophilic molds is challenging because they often go undetected by standard testing methods. This requires collaboration with research labs for more advanced detection techniques. Current strategies to manage mold outbreaks primarily involve quarantining infested items and cleaning them without the use of harsh chemicals, which can further damage artifacts.

To improve prevention and treatment, scientists are studying the biology of these molds and seeking better storage methods for sensitive items. The ongoing challenge of mold in museums highlights the need for increased awareness and collaboration among institutions to protect cultural heritage.

No summary available.

The text discusses the discovery of the oldest wooden tools, dating back around 430,000 years, found in Marathousa, Greece. These tools provide important insights into early human technology and behavior. They are significant because wooden tools are rare in the archaeological record, making this find particularly valuable for understanding human history.

Summary of Telnet Destinations

Telnet is a text-based internet tool that allows users to access various fun and informative resources. Here’s a list of interesting places to explore using Telnet:

• Current Time: india.colorado.edu 13
• GUI Mac Demo: vintagecomputing.com (includes mouse support)
• Braille/ASCII Map Renderer: mapscii.me
• NASA Solar System Data: horizons.jpl.nasa.gov 6775
• Play Doom in Terminal: doom.w-graj.net 666
• Free Internet Chess Server: freechess.org 5000
• Live Bitcoin Price: ticker.bitcointicker.co 10080
• ASCII Animation of Star Wars: towel.blinkenlights.nl 23 (only via IPv6)
• Weather Information: rainmaker.wunderground.com 3000
• Star Trek Themed Games: mtrek.com:1701 and xmltrek.com:1701 (currently offline)

There are also various Bulletin Board Systems (BBS), Multi-User Dungeons (MUDs), and other text-based games available. For more resources, you can check out directories that list Telnet accessible systems.

If you have any suggestions or additional items to share, you can reach out to the webmaster at [email protected].

No summary available.

The author is working on a coding agent that can be used directly in web browsers. This agent creates and manages userscripts and CSS styles that automatically apply when a webpage loads. Instead of just changing webpage elements through JavaScript, it treats the webpage like a file.

The agent operates in a simulated environment similar to a coding sandbox, allowing it to work effectively with file systems and commands. It uses a virtual file system built on browser local storage, where URLs act like folders. The agent can read and edit files and execute JavaScript code.

So far, testing has been done only with the Opus 4.5 browser, and the agent works well. Users can sync the virtual file system with their actual file system, but Firefox requires manual setup for this. The agent is particularly helpful for extracting data to CSV files, and it can also be used for fun projects.

A demo is available online.

The author discusses their experience of adding corporate device identification to their software, komorebi. This feature was introduced in December 2025, and since then, the software has seen about 17,000 downloads. The author reports a positive response from users, with many appreciating the transparency regarding corporate device management (MDM) enrollment.

There have been 26 new purchases of the Individual Commercial Use License (ICUL) since the update, which is a significant increase. The author notes that many users were unaware their devices were managed by MDM, and the community is helping these users regain control over their devices.

Overall, the author feels encouraged by the supportive feedback and interaction with users, and they have now earned enough from the project to cover their rent for the first time. They see this as an important milestone for independent developers, showcasing an alternative to traditional open-source models.

Looking ahead, the author plans to enhance the user experience for implementing device overrides, release a version for Mac with the same identification feature, and collaborate with other developers on new licensing approaches. They invite readers to engage with them on social media and check out their other platforms for updates and insights.