Bess Stillman, an ER doctor and writer, reflects on her experience of grief after the death of her husband, Jake, from tongue cancer. It's been a year since his passing, and she struggles with disbelief and intense longing for him. Despite being diagnosed with "disordered grief," she questions the validity of such labels, feeling that grief is a personal and ongoing journey rather than a condition that can be cured.

Bess shares how she still expects Jake to be present in her life, recalling everyday moments that remind her of him. She describes grief as a complex, non-linear process that doesn’t conform to societal expectations or timelines. Although she manages to function in her daily life—working, caring for their daughter, and attending to household tasks—she often feels a deep ache and loss.

She critiques the cultural tendency to medicalize grief, suggesting that it stems from a fear of facing death and loss. Bess finds it challenging to navigate a world that seems to have moved on while she remains in her own state of mourning. Ultimately, she embraces her grief as an integral part of her experience of love, acknowledging that it is a natural response to losing someone important. Grief, for her, is not an illness but a reflection of her enduring love for Jake.

Geizhals Preisvergleich has donated $10,000 to The Perl and Raku Foundation to support the Perl 5 Core Maintenance Fund. This fund is crucial for maintaining the stability and security of Perl, a programming language that has been important to Geizhals since its founding 25 years ago.

Geizhals, which started as a hobby project in 1997, now serves 4.3 million users and relies on Perl for its operations. Their contribution not only provides funding but also supports developers and European conferences related to Perl.

The Perl 5 Core Maintenance Fund addresses various technical issues to keep Perl reliable. Core maintainer Tony Cook shared that his work includes fixing bugs and enhancing the language's performance, which benefits all users of Perl.

With support from organizations like Geizhals, the Perl community can ensure continued maintenance and development of the Perl core for years to come. For more information on sponsorship opportunities, interested parties can contact [email protected].

Summary:

Earth Hope is a platform that shares positive environmental stories and encourages action. Recently, the American Prairie conservation group achieved a significant milestone by purchasing the 70,000-acre Anchor Ranch in Montana for $35 million. This acquisition restores public access to previously restricted lands, allowing people to explore and recreate in areas adjacent to the Upper Missouri River Breaks National Monument.

American Prairie aims to create one of the largest nature reserves in the U.S., focusing on preserving the last untouched shortgrass prairie, which supports various endangered species. Despite facing challenges, including a lack of support for bison as wildlife in a cattle-dominated state, the organization continues to expand its land holdings and promote wildlife conservation.

Earth Hope is dedicated to highlighting these success stories in environmental conservation and is reader-supported, encouraging subscriptions to sustain their work.

Hack Club, a nonprofit that teaches coding to teens, has used Slack for communication for nearly 11 years. They previously paid $5,000 a year for the service, but recently Slack demanded an additional $50,000 this week and $200,000 annually, threatening to deactivate their account and delete message history if they don't comply. The sudden notice has caused chaos, forcing staff and volunteers to scramble to update systems and migrate years of information, which is costly in terms of time and resources. As a result, Hack Club is switching to Mattermost and emphasizes the importance of owning data, especially for small organizations. The post was written quickly due to the shock of the situation.

Henry and Roman are developing Cactus, an AI inference engine specifically for mobile devices. Their focus on on-device AI offers benefits like faster response times, enhanced privacy, offline functionality, and lower operational costs.

Cactus addresses challenges with real-time AI inference on phones, particularly since most devices are budget-friendly and may not support advanced features like NPUs. They have created a tailored solution that optimizes for energy efficiency and ease of use for developers.

Cactus includes several components: Cactus Kernels, Cactus Graph, and Cactus Engine, all designed for mobile devices. Initial benchmarks show promising performance on popular smartphones, with low latency for generating responses.

Cactus is open-source and free for personal use, with a paid option for commercial applications. They offer demo apps in both the App Store and Google Play, and several apps are already using Cactus in production.

While Cactus works well on Apple devices, they recommend other platforms like HuggingFace for general computer use. They encourage community feedback to further refine their project.

No summary available.

Summary of Luau (Roblox's Scripting Language)

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

2. Sandboxing: Luau restricts access to standard libraries and includes sandboxing features, allowing user-created code to run safely alongside Roblox's core code.

3. Compatibility: Luau aims to be compatible with Lua 5.1 while incorporating some newer Lua features. However, it does not fully adopt later Lua versions due to differing design choices and requirements.

4. Syntax: While Luau maintains compatibility with Lua 5.1 syntax, it also introduces new features to make coding easier and more intuitive.

5. Analysis Tools: Luau includes tools like a linter and type checker to help developers write error-free code. These tools are part of the command line interface.

6. Performance: Luau has a custom runtime with enhanced parsing and compilation processes, competing in speed with LuaJIT. It also offers a Just-In-Time compilation option for improved performance on certain platforms.

7. Libraries: Luau is a superset of Lua 5.1, but some standard library functions have been modified or removed. When embedded in applications, Luau scripts can access additional application-specific library features.

Summary of Flipper Zero Geiger Counter Module

Date: August 4, 2025

Overview: The Flipper Zero Geiger Counter module is designed to measure radioactivity using various apps compatible with third-party firmware, specifically the Unleashed and Momentum firmware.

Key Features:

• Geiger Counter App: Displays radioactivity in counts per second (CPS) and counts per minute (CPM) with options to record data, zoom, and change units.
• Use Cases:
  • Measures ambient radioactivity, uranium ore, radium dials, orange pottery, and americium-241 from smoke detectors.
• Recording Data: Outputs CSV files with timestamps to the SD card. Data includes CPS readings.
• Radioactive Sources: Can detect natural uranium, thorium, radium-226, cobalt-60, and iodine-131. Not suitable for pure alpha emitters like polonium-210.

Atomic Dice Roller App:

• Generates random dice rolls using timestamps from detected radiation.
• Two hashing methods are available: CRC32 for low activity and MD5 for high activity sources.
• Can roll without radioactive materials by detecting radon gas.

Buttons Functions:

• Various button functions allow users to clear graphs, choose units, enable recording, zoom, and exit the app.

Warning: These applications are for educational purposes only. Users should only operate them on their own equipment and use responsibly.

The quality of AI-assisted software relies heavily on how well we manage tasks, or "units of work." Initially, the author struggled with AI coding because the key issue was not AI's intelligence but the lack of proper context.

To improve results, it's important to break tasks into small, focused units that provide just the right amount of detail. This helps maintain a clear context, which is crucial for generating accurate code. If too little context is provided, the AI may produce incorrect results; too much context can dilute the focus.

Mistakes can compound in longer tasks, making it vital to have checks at each step to ensure accuracy. The author argues that success rates drop significantly as task complexity increases. For example, with a 5% error rate, the chance of success diminishes drastically over multiple steps.

The "right sized" unit of work should be small and produce clear, understandable outcomes that provide business value. User Stories, which focus on user outcomes, are suggested as a good starting point for breaking down complex projects into manageable parts.

The author is conducting an experiment called StoryMachine to see if enhanced User Stories can serve as optimal units of work for effective AI-assisted software development. The goal is to make the development process smoother and more efficient by better managing the units of work.

The author has recently switched to using the KDE desktop environment for their gaming PC, primarily because it's user-friendly for their wife's non-gaming needs. After a week of use, they have come to appreciate its features and performance, comparing it favorably not only to other Linux desktops but also to Windows and macOS.

Key points include:

• Feature-Rich: KDE includes many built-in tools that simplify tasks, such as a detailed network applet and an integrated screenshot tool that allows for easy cropping and blurring.
• Window Management: KDE offers a "Window Rules" feature to customize application behavior, which helps with issues like automatic window focus.
• Performance: The author finds KDE faster than Windows 11 and feels it runs smoothly compared to macOS, especially for system settings.
• Minor Issues: Although mostly positive, the author encountered some initial setup problems, like the taskbar appearing on the wrong monitor, which was easy to fix.

Overall, the author expresses satisfaction with KDE, noting it as the first Linux desktop environment they truly enjoy after years of use. They commend the KDE developers for creating a good user experience.

Summary:

Elizabeth Goodspeed shares a collection of midcentury restaurant placemats from North America in her newsletter, "Casual Archivist." She found these at the Brimfield Flea Market, purchasing 25 for $75. Most placemats date from the late 1940s to the 1950s, a time when the postwar boom and highway expansion made road trips popular for the middle class. These placemats served multiple purposes, acting as menus, maps, and activity sheets. They were economically produced with bold colors and simple designs, reflecting the design trends of that era. Goodspeed notes that this style has influenced modern nostalgic designs, although the original placemats were not created to be "retro."

Additionally, she highlights ZuantuSet, a collection of historical Chinese graphics, and mentions her upcoming speaking engagement at the AIGA Conference in LA, offering a discount for subscribers and a chance to win a free ticket. Donations to support her newsletter are appreciated.

Summary:

The seminar titled "The Numerical Analysis of Differentiable Simulation" discusses the challenges of automatic differentiation (AD) in scientific machine learning (SciML). AD is used to calculate gradients for optimizing models that combine machine learning with physical simulations. However, the talk highlights that using AD can lead to significant errors, sometimes as high as 60%, even in simple scenarios like linear ordinary differential equations (ODEs). This is due to numerical errors that can arise during the differentiation process.

The speaker will provide examples using popular Python libraries, Jax and PyTorch, to illustrate how these errors occur. They will also discuss modifications made in Julia SciML libraries to improve the accuracy of AD and the engineering trade-offs involved in these changes. The goal is for the audience to understand the numerical challenges that remain in the field of automatic differentiation for scientific machine learning.

The CERN Animal Shelter for Computer Mice is reopening after securing new funds, following issues in early 2012. The shelter will be open on weekdays from 8:30 AM to 5:30 PM.

To help protect against online threats, users are encouraged to follow the advice "Stop — Think — Click" when browsing the Internet and reading emails. Many users still click on harmful links, risking their computers and accounts.

To avoid this, all CERN users should disconnect their computer mice and bring them to the shelter. For more help, visit the provided website or contact Computer Security at CERN.

Please note, the shelter is not responsible for the sponsor's message.

Wasm 3.0 Release Summary

On September 17, 2025, Wasm 3.0 was officially released, marking a significant update to the WebAssembly standard. This version introduces several important features:

1. 64-bit Address Space: Wasm can now support larger memory sizes, increasing the addressable space from 4 GB to 16 exabytes, although web applications will still have a 16 GB limit.

2. Multiple Memories: A single Wasm module can now define and access multiple memory objects directly, improving functionality and enabling better data management.

3. Garbage Collection: Wasm introduces a low-level garbage collector for automatic memory management, allowing more complex data structures while maintaining control for compilers.

4. Typed References: The type system has been enhanced to support more complex references, reducing the need for runtime safety checks and improving function call safety.

5. Tail Calls: This feature allows functions to exit without consuming extra stack space, which is useful for efficient programming in various languages.

6. Exception Handling: Wasm now includes built-in support for exceptions, allowing for more efficient and portable error handling.

7. Relaxed Vector Instructions: New "relaxed" SIMD instructions improve performance by allowing some implementation-specific behavior in edge cases.

8. Deterministic Profile: The standard now includes deterministic behaviors for certain instructions, ensuring consistent results across different platforms.

9. Custom Annotation Syntax: A new syntax allows developers to add human-readable annotations in Wasm source code.

Additionally, the JavaScript API has been updated to allow better interaction with Wasm, including new string manipulation functions. As a result of these enhancements, a variety of new programming languages are now targeting Wasm.

Wasm 3.0 is already supported in major web browsers and is being integrated into standalone engines. The update was developed using the new SpecTec tool chain for improved reliability.

No summary available.

Summary of Meta Ray-Ban Display Announcement

Meta has unveiled the Meta Ray-Ban Display, a new type of AI glasses designed to enhance everyday tasks while keeping users engaged with their surroundings. The glasses feature a high-resolution, color display that allows users to check messages, preview photos, and interact with visual AI prompts without needing to use their phones.

Key features include:

• Meta Neural Band: A wristband that uses muscle signals for intuitive control of the glasses, allowing users to navigate various functions with subtle hand movements.
• Design and Comfort: The glasses come in two colors and sizes, with Transitions® lenses for all-day wear. They are lightweight, stylish, and designed for comfort.
• Battery Life: The glasses offer up to six hours of mixed-use battery life, extendable to 30 hours with a portable charging case.
• Advanced Display: The display is designed to be discreet, only activating for short interactions, ensuring users remain connected to their environment.

The Meta Ray-Ban Display is priced at $799 and will be available in select U.S. stores starting September 30, with plans for international expansion in 2026.

Additional features include:

• Messaging and Video Calling: Users can view messages and make video calls hands-free.
• Navigation: The glasses provide walking directions without needing a phone.
• Live Captions and Translation: They can display captions and translate languages in real-time.
• Music Playback Control: Users can manage their music through the glasses.

Meta aims to revolutionize wearable technology, focusing on user presence and engagement. The Meta Ray-Ban Display represents a significant step in the evolution of AI glasses, with plans for future updates and enhancements.

Rereading books can significantly enhance your understanding and enjoyment of them. Here are the key points:

1. Learning Through Repetition: Reading is a powerful way to learn, and revisiting books helps reinforce important lessons. Each time you reread, you strengthen your understanding.

2. Deepening Insight: Great writers put a lot of thought into their work. You may miss deeper meanings or lessons on your first read. Rereading allows you to discover new insights and perspectives, especially as you grow and change over time.

3. Understanding Personal Growth: Rereading can reveal how your thoughts and feelings have evolved since your last reading, helping you reflect on your personal development.

4. Comfort and Enjoyment: Sometimes, rereading is simply about comfort. Returning to a beloved book can provide a sense of joy and familiarity, allowing you to escape into a known world.

5. Encouragement to Reread: Don’t hesitate to revisit your favorite books. You might find new lessons or enjoy the comfort they bring.

In summary, rereading books can deepen your learning, enhance your personal insights, and offer comfort. Consider picking up a favorite book again to see what you might have missed!

Summary of pnpm 10.16 Update (September 12, 2025)

• New Delay for Dependency Updates: A new setting called minimumReleaseAge has been introduced to enhance security. It delays the installation of newly released packages to reduce risks from compromised versions. For example, setting it to 1440 minutes (one day) means pnpm will only install packages that have been out for at least a day. You can exclude certain packages from this delay using minimumReleaseAgeExclude.

• Advanced Dependency Searching: pnpm now supports finder functions, allowing users to search for dependencies based on various properties, not just names. You can define these functions in a file and use them to find dependencies that meet specific criteria, like having a certain version in their peer dependencies.

• Patch Changes: Fixed issues related to Node.js 24 warnings, ensured proper error messaging for version settings, improved publishing functionality, and adjusted exit codes for process cancellations.

This update enhances security and improves how users can manage and search for dependencies in their projects.

Summary of CircuitHub

CircuitHub is transforming electronics manufacturing with its innovative platform, The Grid, which uses robotics for efficient small-batch electronics assembly. This technology improves production speed dramatically, achieving ten times the output in this vital industry. The company has secured $20 million in funding from notable investors like Y Combinator and Google Ventures and is already profitable, serving major clients such as Tesla and Meta.

CircuitHub is seeking an engineer to lead its Operations Research Team. This role involves solving complex scheduling and pricing challenges to enhance factory efficiency and aims to triple the company’s revenue within a year. Candidates should have experience in operations research.

Key responsibilities include:

• Determining production schedules
• Creating new quoting algorithms
• Forecasting revenue based on manufacturing capacity

The position is available for remote work or at labs in the UK (London, Cambridge) or USA (Boston). This role is crucial for making electronics manufacturing more cost-effective in the US and Europe and presents a significant opportunity for engineers who enjoy taking initiative and applying advanced research techniques. Key tools used include Python, Google OR-Tools, Gurobi, and MiniZinc.

In a recent post, the author reflected on their website design and realized they weren't fully implementing their own advice about using default styles instead of CSS classes. This led them to a significant decision: to completely remove classes from their website. They aimed to use more semantic HTML elements and create cleaner, more efficient CSS through a structured approach.

The author organized their CSS into three layers: base, components, and utilities, focusing on using tag selectors more effectively. They explored custom tags and attributes inspired by web components, which allowed them to create a more organized and semantic structure without relying on traditional classes.

While this approach reduced the overall CSS size and improved accessibility, it also required more careful planning and consideration. The author admits that while they are pleased with the results for their personal site, they would be cautious about using this method in larger projects with varied developer expertise.

In conclusion, the author acknowledges that while they have made progress, they haven't completely eliminated the use of classes and still see room for improvement in their design philosophy.

Summary of "Fast Fourier Transforms Part 1: Cooley-Tukey"

Connor Boyle's article introduces the Cooley-Tukey algorithm, the most famous method for calculating Fast Fourier Transforms (FFT). The Discrete Fourier Transform (DFT) converts a sequence of complex numbers into frequency components, but a naive approach takes a lot of time (O(|x|²)).

The Cooley-Tukey algorithm optimizes this process by breaking down the DFT into smaller parts when the number of elements (|x|) is composite. It uses nested summations and rearranges the calculations to reduce the complexity to O(|x| log |x|) in ideal cases, significantly speeding up the computation.

The algorithm also allows for calculating the inverse DFT with slight modifications. However, it doesn't perform well for sequences of prime length or those with large prime factors. Other algorithms can complement Cooley-Tukey for these cases.

The article also features an interactive visualization of the Cooley-Tukey algorithm and discusses common misconceptions about the terms "FFT" and "DFT," emphasizing that they refer to different concepts. The author hopes to clear up misunderstandings in the field.

In future posts, Boyle plans to cover additional FFT techniques, like Bluestein's algorithm.

No summary available.

No summary available.

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Summary: Keeping Sessions Alive with systemd-inhibit

In this guide, the author discusses how to prevent a desktop system from going to sleep during remote sessions, specifically when using SSH and tmux. On their desktop, the power settings cause the system to sleep after 30 minutes, which disconnects their remote session.

To tackle this, they introduce systemd-inhibit, a command that can block sleep or idle actions on a system. The command allows you to run a program while preventing the system from sleeping until the program exits.

Key Steps:

1. Using systemd-inhibit:

   • The command is executed with options to avoid password prompts and specify that it should block idle actions.
   • A shell command (sh) is run in the background to keep the inhibition active.

2. Process Management:

   • The PID (Process ID) of the inhibition command is saved for later use, allowing you to unblock it when needed.

3. Unblocking:

   • When the session ends, a separate command is used to kill the inhibition process, allowing the system to sleep again.

4. Bash Aliases:

   • The author suggests creating two bash aliases (block and unblock) for convenience. This streamlines the process of starting and stopping the inhibition.

5. Testing:

   • You can check if the inhibition is active using the systemd-inhibit --list command.

The author also mentions that there are simpler alternatives (like using a tool called Caffeine), but this method gives users more control over their system's behavior during remote sessions.

In Michigan, a new bill called the Anticorruption of Public Morals Act could soon make it illegal to use VPNs, which are tools that help people access the internet privately. Proposed by six Republican representatives, this bill aims to ban various types of adult content online, including ASMR, adult manga, and AI-generated material, as well as any depiction of transgender individuals.

If passed, internet service providers would be responsible for detecting and blocking VPN usage, and selling VPNs in Michigan would also be prohibited, with fines reaching up to $500,000. The bill applies to all Michigan residents, both adults and children, and could impact anyone who uses VPNs for privacy, identity protection, or safe browsing on public Wi-Fi.

As of now, the bill has not yet passed through the Michigan House of Representatives or the Senate, and it's unclear how much support it has beyond the initial sponsors. Similar legislation has been introduced in other states, which may lead to more attempts to pass similar laws elsewhere. The Michigan ACLU has not commented on the bill yet.

The JavaScript community is facing a major crisis after a significant supply-chain attack, prompting a potential shift in how it manages software dependencies. Many experts have long warned that the current dependency management system is flawed and risky. This incident might encourage the community to prioritize fixing these issues, moving away from complex dependency trees filled with small libraries.

Key players like Google and Mozilla could help by creating a standard library for JavaScript, reducing the need for micro-dependencies. There is potential for npm, the package manager, to improve its design and adopt better practices from systems like Linux distributions, which are typically more secure. This could involve establishing curated collections of software libraries and implementing stricter security measures.

Other programming languages with similar dependency issues might also take notice and make necessary changes. There’s hope that large companies will invest in resolving these problems and create a safer software development environment. However, the text expresses skepticism that meaningful changes will occur. Instead, it predicts that companies will opt for superficial fixes, and the fundamental issues in software development will persist, as they have for decades.

No summary available.

No summary available.

Summary of Entra ID Vulnerability

A serious vulnerability was discovered in Microsoft's Entra ID system, which could potentially allow attackers to gain complete control over any Entra ID tenant (except those in national cloud deployments). This issue arises from two main components:

1. Undocumented Actor Tokens: These tokens allow Microsoft services to impersonate users without adequate security controls.
2. Azure AD Graph API Flaw: A critical flaw in this older API allowed these tokens to be used for unauthorized access across different tenants.

With an Actor token, an attacker could impersonate any user, including Global Admins, in any tenant. This means they could modify settings, manage identities, and access sensitive information without detection, as these actions would not generate logs in the victim's tenant.

Key Impacts:

• Full access to user information, tenant settings, and application permissions could be obtained.
• If a Global Admin was impersonated, the attacker could make significant changes without triggering alerts.

Response: The vulnerability was reported to Microsoft, and they quickly implemented fixes. They blocked the use of Actor tokens for accessing the Azure AD Graph API and issued a security alert (CVE-2025-55241).

Detection: While querying information with these tokens leaves no logs, modifications do create logs that might reveal suspicious activity. A specific detection query has been developed to help identify potential misuse of Actor tokens.

Conclusion: This vulnerability highlights a significant oversight in the security design of Actor tokens, which lacked essential logging and control measures. Microsoft acted promptly to address the issue once it was reported.

For Entra ID administrators, it’s critical to be aware of this vulnerability and implement monitoring measures to detect any unusual activity in their environments.

Between August and early September, Claude experienced three infrastructure bugs that affected response quality. Here's a simplified overview of what happened:

1. User Reports: In early August, users began noticing poorer responses from Claude. Initially, these reports seemed like normal feedback variations, but as they increased, an investigation was launched.

2. Infrastructure Bugs: The investigation revealed three distinct bugs that caused the issues:

   • Routing Error: A bug misrouted some requests on August 5, initially affecting 0.8% of requests. A load balancing change on August 29 worsened this, affecting up to 16% of requests at its peak. This was fixed by September 4.
   • Output Corruption: A misconfiguration on August 25 caused incorrect outputs, like irrelevant characters in responses. This was resolved by rolling back the change on September 2.
   • Token Selection Bug: A change made on August 25 inadvertently triggered a bug that affected how tokens were chosen during text generation. This was rolled back on September 4 and further precautions were added.

3. Challenges in Detection: Identifying these bugs was difficult due to varying symptoms across platforms and privacy controls that limited engineers' access to user interactions.

4. Improvements: To prevent similar issues in the future, the team will enhance evaluation processes, run continuous quality checks, develop better debugging tools, and encourage user feedback.

The team acknowledges the importance of consistent quality and is committed to improving Claude's performance based on user input and technical enhancements.

The Orange Pi RV2 is an affordable single-board computer (SBC) that introduces users to RISC-V computing for just $40. It features an 8-core RISC-V processor and various connectivity options, making it attractive for developers, hobbyists, and professionals. However, while it performs well in specific tasks like IoT and lightweight AI, it is not meant to replace a desktop PC. The RV2 is energy-efficient and has versatile hardware features, such as dual NVMe slots and a GPIO interface, which are useful for industrial automation and IoT projects. Despite its strengths, it has limitations in software support and desktop performance. Overall, the RV2 offers a unique and cost-effective opportunity for those interested in RISC-V technology.

Please provide the text you would like me to summarize.

Summary of the History of the GEM Desktop Environment

In 1988, after my Sinclair ZX Spectrum broke, I received an Atari 520 ST, which introduced me to graphical desktop environments. I later researched its desktop interface, GEM, developed by Digital Research Inc. (DRI).

Key Points:

1. Origins of GEM:

   • Lee Jay Lorenzen, after working on a Xerox computer, joined DRI in 1983. He aimed to create a graphical desktop environment similar to the Xerox Star.
   • The first prototype was called "Crystal" and was later renamed "GEM" (Graphic Environment Manager) before its introduction at COMDEX in 1984.

2. Atari ST Partnership:

   • Atari, under Jack Tramiel, partnered with DRI to use GEM for the Atari ST, leading to its successful launch in 1985. The OS for Atari ST was named TOS.

3. Legal Challenges:

   • Apple threatened DRI with a lawsuit, claiming GEM resembled the Macintosh interface. To avoid legal issues, DRI modified GEM to create GEM 2.0, which had a different look.

4. Decline of GEM:

   • Although GEM saw some success, especially in Europe, DRI struggled to support it properly. The last commercial version was released in 1988, and by the late 2000s, GEM faded into history.

5. Legacy:

   • GEM was eventually open-sourced, leading to projects like FreeGEM. Despite its decline, GEM remains a significant part of computing history.

No summary available.

Hypervisor 101 in Rust Course Summary

This is a one-day course designed to teach you how hypervisors work and how to write them for high-performance fuzzing.

Key topics include:

• Basics of hardware-assisted virtualization (like VMCS/VMCB and guest-host switches)
• Techniques such as exception interception for virtual machine introspection used in fuzzing

The course includes lectures and hands-on exercises with source code located in the Hypervisor-101-in-Rust/hypervisor directory.

Lecture materials are tailored for the gcc2023 branch, which may have some incomplete code for exercises. You can start with the branch using the provided Git command to access the exercises.

The Blender Foundation has announced a new board and appointed a new executive director. This change aims to enhance the foundation's leadership and support for the Blender software, which is popular for 3D modeling and animation. The updates are expected to help improve the community and development of Blender.

No summary available.

Foundation models have changed natural language processing by allowing one pre-trained model to be used for many tasks without needing retraining. A Physics Foundation Model (PFM) could greatly enhance access to accurate simulations, speed up scientific research, and reduce the need for specialized problem-solving tools. Currently, physics-focused machine learning methods are limited to specific tasks and require retraining for new systems.

We introduce the General Physics Transformer (GPhyT), which has been trained on 1.8 TB of varied simulation data and shows that foundation model capabilities can apply to physics. GPhyT can learn the governing dynamics from context, allowing it to simulate various physical scenarios like fluid-solid interactions and shock waves without needing the underlying equations.

GPhyT achieves three major improvements:

1. It performs better than specialized models, sometimes by up to 29 times, across different physics areas.
2. It can generalize to entirely new physical systems without retraining.
3. It can make stable long-term predictions over 50 time steps.

This research demonstrates that a single model can learn general physical principles from data, paving the way for a universal Physics Foundation Model that could revolutionize computational science and engineering.

The Apple Photos app has been found to sometimes corrupt images when importing from cameras, particularly with the OM System OM-1 camera. The author experienced significant data loss, especially after a family wedding, where they lost about 30% of their photos due to this issue.

They initially thought the problem might be with their hardware and tried various solutions, including changing cables, SD cards, and even purchasing a new laptop and camera. However, the corruption persisted.

Eventually, they realized that the corruption seemed to occur during the import process, especially when using the "delete after import" option. After stopping this practice and verifying images before deleting them, they had fewer issues, but still encountered random corruptions.

As a result, the author switched to using Darktable for importing and managing photos, which has not shown any corruption issues. They now import their images to Darktable, cull the bad ones, and then export the good ones to the Photos app for easy viewing. They shared their experience to help others who may face similar problems with Apple Photos.

No summary available.

Research shows that most domestic terrorists in the U.S. are politically aligned with the right, and their violence is more frequent and deadly than that from the left. Despite claims by political figures, like President Trump and adviser Stephen Miller, that left-wing groups are the main source of political violence, data indicates that right-wing extremist attacks account for about 75% to 80% of domestic terrorism fatalities since 2001.

Political violence in the U.S. is increasing, with threats against election workers and high-profile assassinations, such as that of conservative activist Charlie Kirk, highlighting the issue. Definitions of political violence vary among agencies, complicating comparisons and understanding. While politically motivated violence is a small portion of total crime, its impact is significant due to its symbolic nature and media attention.

Left-wing extremist violence represents a much smaller fraction of incidents and fatalities, often targeting property rather than people. The lack of a formal mechanism to designate domestic terrorism complicates the tracking and prosecution of these acts. Overall, right-wing violence is more prevalent, and the threat of violence is becoming normalized in political discourse, raising concerns for democracy and societal safety.

A US immigration judge has ordered the deportation of Mahmoud Khalil, a pro-Palestinian activist, to Algeria or Syria. The judge determined that Khalil had "willfully misrepresented material facts" on his green card application. Khalil's lawyers plan to appeal this decision and emphasized that a federal court's prior orders prevent immediate deportation while they fight the case in court.

Khalil, a 30-year-old permanent resident and student at Columbia University, had been detained for over 100 days earlier this year while the Trump administration sought to deport him. He missed the birth of his child during his detention. Khalil believes the deportation order is an attempt to silence him for his activism and criticism of the government's actions regarding Palestine.

Rights groups are concerned about free speech and due process issues surrounding the deportation attempts, particularly in the context of protests against Israel's actions in Gaza.

This guest post by Jiebin Sun, Zhiguo Zhou, Wangyang Guo, and Tianyou Li from Intel Shanghai discusses performance optimization for ClickHouse, an analytical database, on Intel's ultra-high core count processors.

Key Points:

1. Increased Core Counts: Intel's latest processors feature a significant increase in the number of cores, which presents both opportunities and challenges for databases like ClickHouse. While more cores can enhance parallel processing, many databases struggle to fully utilize this hardware due to various bottlenecks.

2. Bottlenecks Identified: The major challenges include:

   • Lock Contention: Increased core count leads to greater competition for locks, which slows down performance.
   • Memory Management: Memory bandwidth becomes a limiting factor as more cores are added, requiring efficient memory allocation strategies.
   • Increased Parallelism: Serial processing phases in aggregation can negate the benefits of more threads.
   • SIMD (Single Instruction Multiple Data) Optimization: Effective use of SIMD instructions is crucial for improving performance, especially for complex queries.
   • False Sharing: This occurs when multiple threads modify shared data in the same cache line, causing unnecessary performance hits.

3. Optimizations Implemented: The authors undertook multiple optimizations to address these bottlenecks, including:

   • Reducing lock contention through better thread coordination.
   • Enhancing memory management with optimized configurations for the memory allocator.
   • Parallelizing hash table merging processes to eliminate serial bottlenecks.
   • Implementing smarter algorithms for string searches to reduce computational load.
   • Aligning memory structures to avoid false sharing.

4. Performance Gains: These optimizations led to substantial performance improvements, with some queries seeing speedups of up to 10x. Overall, ClickHouse achieved close-to-linear scalability with increasing core counts.

5. Future Implications: As processors evolve towards even higher core counts, these optimization techniques will be critical for any database system seeking to scale effectively.

The authors emphasize that their work not only enhances ClickHouse but also provides insights applicable to the broader field of database optimization in the context of rapidly advancing hardware technology.

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C# 14, part of the upcoming .NET 10 release, introduces a new feature called null-conditional assignments. This allows developers to assign values to properties or indexers safely without needing multiple if statements, making code cleaner.

Previously, checking for null values before assignment required verbose code, like this:

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

With C# 14, this can be simplified to:

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

This new feature works similarly for indexers and can also be used with compound assignment operators like +=. However, it does not support increment (++) or decrement (--) operators.

While null-conditional assignments improve readability, it's important not to overuse them, as overly complex one-liners can make debugging difficult. For example, combining many conditional checks in one line can create confusion about where the issue lies if a value is not assigned.

In summary, the null-conditional assignment operator in C# 14 simplifies code and reduces the risk of null reference exceptions, but developers should use it judiciously to maintain code clarity.

The article discusses details about a potential deal between the U.S. and China regarding TikTok. Key points include negotiations aimed at addressing security concerns related to the app's data handling. Both countries are working to find a solution that balances U.S. security interests with China's regulations. The outcome of these discussions could impact TikTok's operations in the U.S. and its relationship with China.

This tutorial by the iximiuz Labs team explains how container filesystems work, particularly focusing on creating a Docker-like container using standard Linux tools. The key points include:

1. Container Isolation: Containers provide an isolated filesystem view, allowing different Linux distributions to run on the same host without interference.

2. Building a Container: The tutorial guides you through creating a simple container from scratch using tools like unshare, mount, and pivot_root, emphasizing the importance of mount namespaces for isolation.

3. Namespaces Overview: It covers various namespaces (mount, PID, cgroup, UTS, network) and their roles in providing a secure and isolated environment for containers.

4. Hands-On Exercises: The tutorial includes practical exercises to help you understand how to manipulate the filesystem and create containers.

5. Mount Propagation: It explains the concept of mount propagation, which affects how changes in the filesystem are reflected across different namespaces, and how this is crucial for container functionality.

6. Creating and Configuring Containers: Detailed steps are provided for preparing the container's root filesystem, setting up pseudo filesystems (/proc, /dev, /sys), and ensuring proper isolation and security settings.

7. Bind Mounts and Volumes: The tutorial discusses how to share host files with containers using bind mounts and volumes, explaining the differences and their implications on data management.

8. Real-World Application: The tutorial connects these concepts to real-world container runtimes like Docker and Kubernetes, showing how they utilize these mechanisms for efficient container management.

By the end of the tutorial, you should have a solid understanding of container filesystems and be able to create Docker-style containers using basic Linux commands.

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

On September 15, 2025, a supply chain attack targeted the @ctrl/tinycolor package. A malicious GitHub Actions workflow was added to a shared repository, which stole a valuable npm token. The attacker used this token to publish harmful versions of 20 packages, including @ctrl/tinycolor, although my GitHub account and the repository were not directly compromised.

Key Points:

• The attack did not involve phishing or malicious installations on my machine. I use pnpm to prevent unapproved scripts.
• GitHub and npm security teams acted quickly to unpublish the malicious versions. I subsequently released clean versions to restore trust.
• The attacker gained access through a shared repository where they added a harmful branch that executed the malicious workflow immediately without review.
• Although the malicious packages were quickly removed, they could have executed harmful code if installed.

Response Plan:

• I currently use GitHub Actions for publishing and will implement more security measures, including requiring two-factor authentication (2FA) for publishing.
• I plan to transition to npm's Trusted Publishing to eliminate static tokens in the future.
• For smaller packages, I’ll continue using semantic-release but with stricter controls.

Improvements Desired:

• A single toggle for Trusted Publishing across all packages.
• Enhanced security features without requiring a Pro subscription.
• Better visibility of package details regarding postinstall scripts.

Thanks to the OpenJS Foundation and security teams for their prompt help during this incident.

I need a 3D printer with a print volume of at least 256x256x256mm that can be enclosed or has an enclosure option. It should print with durable materials like PC, Nylon, or ABS. I don't need to print with multiple materials and prefer a printer that works offline without sending data. It's important that it has open-source software and is easy to repair. I'm willing to assemble the printer and learn how to set it up, and I can create models using CAD or by hand, but I'm not very experienced with slicer software.

RunRL is a platform created by Andrew and Derik to enhance models and agents using reinforcement learning (RL). They simplify the process so users don't have to manage complex GPU clusters. Users can improve their models by following these steps:

1. Choose a base model.
2. Upload initial prompts for the model to work on.
3. Define a reward function to measure success.
4. For complicated tasks, set up a multi-turn environment.
5. Watch the model's performance improve.

RunRL has shown that even smaller models can outperform larger ones in specific tasks, thanks to their approach. They charge $80 per node-hour for their services, which include full fine-tuning. Future developments will include continuous learning and tool use, currently in private beta.

The founders invite feedback and questions from the community.

The provided text contains links to two posts on a social media platform, but it does not include any specific content or context to summarize. Without further information, I cannot provide a summary. If you have more details or text from those posts, please share it so I can help you summarize it.

No summary available.

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Aikido Safe Chain Overview

The Aikido Safe Chain is a free tool designed to protect developers from malware when using package managers like npm, npx, yarn, pnpm, and pnpx. It adds extra security checks before installing new packages to detect and block malicious software.

Key Features:

• Compatibility: Works with Node.js version 18 and above, and supports npm (version 10.4.0 and above) fully. For older versions and other package managers, it offers limited scanning.
• Installation:
  1. Install it globally with npm install -g @aikidosec/safe-chain.
  2. Set up shell integration by running safe-chain setup.
  3. Restart your terminal to activate the tool.
• Functionality: When you use npm or similar commands, it checks for malware. If detected, it prompts you to stop the installation.
• Integration: Works seamlessly with various shells like Bash, Zsh, Fish, and PowerShell.

Uninstallation:

• To remove the tool, run safe-chain teardown and then npm uninstall -g @aikidosec/safe-chain, followed by restarting your terminal.

Configuration Options:

• You can choose how the tool reacts to malware:
  • Block (default): Automatically stops the installation.
  • Prompt: Asks for your decision on how to proceed.

For more detailed instructions, especially on CI/CD integration, refer to the Aikido documentation.

In a recent blog post, Przemysław Hejman discussed a new benchmark called Tau², which evaluates large language models (LLMs). The main finding was that a simple change in prompts improved the performance of the smaller model, GPT-5-mini, by 22%. The Tau² benchmark assesses LLMs in real-world scenarios across different industries, showing that GPT-5 has notably improved in telecom tasks.

The experiment focused on two main goals: testing GPT-5-mini's performance on the benchmark and finding ways to enhance its results through adjustments to its task descriptions. Initially, GPT-5-mini had a low success rate of 55% on telecom tasks. By rewriting prompts to make them clearer and more directive, the success rate improved significantly, with fewer tasks remaining unsolvable.

Key improvements included clearer structures, binary decision-making, and reduced cognitive load for the model. As a result, GPT-5-mini's performance metrics rose, achieving a success rate of 67.5% on the first attempt and improving retry effectiveness.

The takeaway is that careful prompt design can greatly enhance the performance of smaller models, making them more efficient and cost-effective alternatives in certain applications. The article encourages further exploration in prompt engineering to unlock more potential in LLMs.

Summary of Gluon Introduction

Gluon is a GPU programming language similar to Triton but offers more control to users for implementing kernels. This tutorial series teaches how to develop GPU kernels in Gluon, covering basic to advanced techniques, ultimately focusing on creating efficient GEMM kernels.

Key points include:

• Similarities with Triton: Both Gluon and Triton use a tile-based programming model and share the same Python frontend.
• Control and Complexity: Gluon exposes more details about GPU hardware, requiring users to have a deeper understanding of GPU programming, which can lead to better performance through fine-tuned control.
• Kernel Development: The tutorial introduces how to define and launch Gluon kernels, including a simple scalar copy kernel and a memcpy kernel that handles hyperparameters.
• Testing and Autotuning: Users can test kernels using pytest, and Gluon supports autotuning hyperparameters for optimal performance.
• Performance Insights: The tutorial emphasizes the importance of utilizing GPU parallelism and understanding data layouts for improving performance.

Overall, the tutorial guides users through the basics of writing Gluon kernels and sets the stage for further exploration of performance optimization techniques.

Summary of the ASUS Gaming Laptop ACPI Firmware Bug Investigation

Many users of high-end ASUS ROG laptops, like the Strix, Scar, and Zephyrus models, are experiencing frustrating performance issues such as stuttering during basic tasks and audio glitches. Despite trying common fixes like updating drivers and reinstalling Windows, the problem persists due to a deep-rooted firmware issue.

Key Findings:

1. Latency Issues: Tools like LatencyMon show significant system latency linked to the ACPI.sys driver, particularly on CPU 0, indicating that a single core is overburdened with interrupt processing.

2. Firmware Problems: The ACPI firmware is inefficiently handling General Purpose Events (GPEs), causing periodic spikes in latency every 30-60 seconds. This is due to a flawed method (ECLV) that introduces long delays (up to 100 milliseconds) during interrupt handling.

3. Power Cycling Errors: The firmware repeatedly attempts to power cycle the discrete GPU erroneously when it should remain active in certain modes (Ultimate/Mux mode). This results in system crashes and performance degradation.

4. Lack of State Awareness: The firmware fails to check the current GPU mode when issuing power commands, leading to inappropriate actions that can disrupt system performance.

5. Historical Context: User complaints about these issues have been documented since 2021 across various ASUS laptop models, indicating a systemic problem with the firmware design.

Conclusion

The investigation reveals a series of design flaws in ASUS's firmware that cause significant performance issues across its gaming laptop lineup. Until ASUS addresses these firmware bugs, users will continue to face stuttering and audio problems.

Understanding Deflate

The author is exploring how the Deflate compression algorithm works by compressing the string "TOBEORNOTTOBEORTOBEORNOT" using GZIP and decoding it manually.

Key Steps:

1. Compression: The string is compressed using GZIP, resulting in a hexadecimal output representing the compressed data.

2. GZIP Structure: Before accessing the compressed data, the author decodes the GZIP "wrapper," which includes:

   • Magic number
   • Compression method (Deflate)
   • Flags and timestamp
   • Extra information, including the CRC-32 checksum and the size of the uncompressed data.

3. Decoding Compressed Data: The author refers to the DEFLATE specification to understand the compressed data format. The data contains:

   • One block encoded with fixed Huffman codes.
   • Two types of tokens: literal characters and copy commands that reference previously seen data.

4. Output Tokens: The resulting tokens from decoding include individual characters and commands to copy sequences from earlier in the data.

Conclusion: The Deflate algorithm effectively reduces data size by encoding it in bits rather than bytes. In this example, the data size decreased from 24 bytes to 16 bytes. However, manual decoding proves to be complex and challenging.

The author introduces 47jobs, a marketplace where you can hire AI agents for tasks instead of human freelancers. They noticed that many jobs traditionally done by humans, like coding and data analysis, can now be completed quickly by AI.

Key points about 47jobs:

• It uses 100% AI agents, with no human involvement.
• Jobs are done much faster and at clear prices.
• You can hire AI for various tasks like coding and research.

The author is seeking feedback on the idea, including whether a marketplace for AI agents makes sense, what types of jobs to prioritize, and any concerns about user experience or trust. They are looking to improve the platform based on user input.

In Kathmandu, Nepal, young protesters, known as Gen Z, led a large demonstration against government corruption and a recent ban on social media. The protest turned violent when police opened fire, resulting in many injuries and at least 22 deaths. The prime minister, KP Sharma Oli, resigned following the chaos, sparking celebrations among the protesters who saw it as a victory against corruption.

The protests were fueled by years of frustration with corrupt politicians who have dominated the government for a decade. As thousands took to the streets, some engaged in destructive actions, burning government buildings and looting. Although many celebrated the prime minister's resignation, there was concern over the violence and destruction that occurred.

Amid the turmoil, some protesters expressed hope for a better future, emphasizing the need for capable leadership that prioritizes the nation's welfare over personal gain. The city is now under strict lockdown, and the future of the government remains uncertain.

Summary:

A recent study published in Nature reveals the details behind the DeepSeek AI model, R1, developed by a Chinese start-up. The model, which caused a drop in the US stock market upon its release in January, was trained at a cost of about $294,000, significantly less than its competitors. DeepSeek claims that R1 did not learn from other models but instead used a unique method of reinforcement learning to develop its reasoning abilities.

The R1 model is open-source and has been downloaded over 10.9 million times, making it highly popular on the AI platform Hugging Face. The study marks R1 as one of the first major AI models to undergo a rigorous peer-review process, which experts believe is essential for evaluating the safety and effectiveness of AI systems. Researchers have noted that R1 has influenced many developments in AI since its release.

Summary of UUIDv47

UUIDv47 is a method for handling UUIDs that allows you to store sortable UUIDv7 values in a database while presenting them as UUIDv4 to external systems. It uses a technique called XOR-masking to modify the UUIDv7 timestamp with a secure hash function (SipHash-2-4) based on the UUID's random bits.

Key Features:

• Storage and API Compatibility: Enables time-ordered UUIDv7 storage for better indexing while appearing as UUIDv4 to clients.
• Security: Utilizes SipHash-2-4 for security, ensuring that the key cannot be easily recovered.
• Performance: Fast encoding and decoding with no memory allocations.

Quick Start:

You can easily use UUIDv47 in your C code by including the provided library and following a simple example to encode and decode UUIDs.

Specifications:

• UUIDv7 Structure: Contains a timestamp, version bits, and random bits.
• Mapping: UUIDv7 can be encoded to a UUIDv4 façade and decoded back.
• Security Model: Ensures the secret key remains unrecoverable, using a 128-bit key derived from a secure method.

Performance:

Benchmarks show that encoding and decoding are very efficient, with operations measured in nanoseconds per operation.

Integration Tips:

• Perform encoding and decoding at the API boundaries.
• For specific databases like Postgres, create a small C extension.
• Consider hashing the façade for sharding.

License:

UUIDv47 is licensed under MIT, with copyright held by Stateless Limited.

The author expresses a strong criticism of current social media platforms, arguing that they prioritize advertising and user engagement over genuine connection. They believe these platforms have turned into addictive content mills that contribute to loneliness and dissatisfaction.

The author advocates for a new type of social media focused on real connections and improving relationships. Key features of this ideal platform would include:

• Emphasizing connections with friends and family rather than collecting followers.
• Implementing a cap on connections (around 300) to encourage meaningful interactions.
• Providing a chronological feed of posts to avoid mindless scrolling, with pagination for natural breaks.
• Limiting the number of posts a user can make each day (around 5) to promote intentional sharing.
• Excluding features like analytics and recommendation systems that prioritize engagement over connection.

While the author acknowledges that such a platform may not succeed in the current market dominated by attention-driven content, they see potential for it to thrive among users seeking a more genuine social experience. They express a desire for someone to create this kind of platform, as they are currently focused on other projects.

Django 6.0 alpha 1 has been released on September 17, 2025. This is the first version in the 6.0 release cycle, allowing users to explore upcoming changes. Key features are detailed in the release notes.

This alpha version marks the point where new features are finalized. The next steps include a beta release in about a month and a release candidate around a month after that. Community testing is essential to stick to this timeline, with updates available on the Django forum.

This alpha version is not suitable for production but is available for users who want to test new features or help identify bugs. The alpha package can be downloaded from the Django website or PyPI. The release is associated with the PGP key ID 2EE82A8D9470983E, held by Natalia Bidart.

The author discovered a bug in their Dell Inspiron 5567 laptop that caused it to reboot instead of sleep when the lid was closed, a problem that persisted for eight years across different operating systems.

They found that this issue stemmed from a flaw in the laptop's firmware, specifically in the ACPI (Advanced Configuration and Power Interface) code. The author explored the firmware's source code and identified a faulty command in the "Prepare To Sleep" method.

The bug occurs because the code that is supposed to set the sleep type (S3) is skipped, leading to the system not knowing how to properly enter sleep mode. Instead, it only triggers the command to go to sleep, causing random reboots.

Despite this, the laptop works fine when shutting down or hibernating, as those processes are handled correctly by other parts of the firmware. The author expresses frustration over the time lost dealing with this issue and calls for better reviews and transparency about system stability in technology.

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Samsung is introducing advertisements to its Family Hub refrigerators in the U.S. through a software update, despite previously stating it had no plans to do so. This initiative is part of a "pilot program" aimed at enhancing the value of their smart fridges. Ads will appear on the Cover Screens of the fridges when idle, but can be dismissed, and will not show during Art Mode or when displaying pictures. The move has surprised some users, but aligns with Samsung's broader strategy of integrating advertising into its devices, which began with smart TVs a decade ago.

A few weeks ago, my former colleagues won Brisbane’s Battle of the Tech Bands, and I created visuals for six of their songs, mostly 90s and 2000s covers. I themed the visuals to match that era. One of my favorite pieces was a scrolling mosaic of old-school GIFs from the Internet Archive’s GeoCities collection, which I animated in a web browser.

The project took me on a nostalgic journey, reminding me of my early experiences with the web and how they influenced my career. I’ll explain how I created the GIF mosaic, including how I sourced, cleaned, and animated the GIFs.

Downloading GIFs

I downloaded over 60,000 GIFs from GeoCities by querying the Archive’s APIs using a list of keywords. I didn’t share the specific code for scraping but mentioned that it’s straightforward to implement.

Sanitizing the GIFs

After downloading, I had to clean the GIFs to remove duplicates and inappropriate content. I used a hashing method to identify duplicates and an image classifier to filter out NSFW content. I sampled multiple frames from each GIF to ensure that any inappropriate content, which might only appear later in the animation, was caught.

Animating the GIFs

For the animation, I used p5.js to create a grid of GIFs that panned across the screen. I added a CRT shader for a retro effect and a starfield background for added visual interest. The GIFs streamed in as they loaded, and I implemented a system to replace GIFs that moved off-screen.

Hosting and Optimization

The project is hosted on a simple Go app behind a Cloudflare proxy. I noted that there’s room for optimization, like using more efficient file formats and reducing the number of requests by combining GIFs into larger files.

In conclusion, this project was a fun way to revive the chaos of GeoCities, and I'm proud to say that we won the competition! Special thanks to the Internet Archive for their invaluable resources.

I cannot access external links or specific content from URLs. However, if you provide the text you would like summarized, I can help simplify and summarize it for you!

No summary available.

Summary of Condor Technology's Cuzco RISC-V CPU Announcement

On September 15, 2025, Condor Technology announced its new "Cuzco" RISC-V CPU, aimed at enhancing datacenter computing. As companies grow, they often create custom CPUs to better meet their needs, and RISC-V, an open and customizable architecture, is gaining traction among major tech firms like Intel, Google, and Meta.

Andes Technology, a pioneer in RISC-V processors, has shipped over 17 billion RISC-V chips since 2005 and has seen significant growth, particularly in the AI sector. The Cuzco core promises high performance with a unique microarchitecture designed for various applications, from datacenters to automotive.

Cuzco features advanced capabilities, including support for multiple cores and a 12-stage pipeline. It employs a novel instruction scheduling method that reduces power consumption compared to traditional systems. This innovative design aims to make Cuzco a competitive option in high-performance computing. Enterprises will have the opportunity to test the Cuzco CPU by the end of the year.

Summary: How to Motivate Yourself to Do Things You Don't Want to Do

Ashley Janssen discusses how to overcome lack of motivation when facing tasks you’d rather avoid. She shares her personal struggle with using an air bike, emphasizing the common pattern of procrastination and hesitation before starting a task.

Here are key strategies for boosting motivation:

1. Understand Your Feelings: Identify why you feel unmotivated. Factors like physical health, mental state, environment, and personal priorities can affect your drive. Recognizing these can help you make changes to improve your motivation.

2. Find Your Motivators: Discover what encourages you to act. This could include combining tasks with enjoyable activities, having an accountability partner, turning tasks into games, or celebrating small successes.

3. Break Tasks into Small Steps: If a task seems overwhelming, divide it into smaller, manageable parts. Committing to just five minutes or tackling a small section can help ease you into the task.

4. Focus on Consistency: Instead of relying solely on motivation, create a routine to build consistency. Schedule regular time for tasks, as small, steady efforts can yield significant results over time.

5. Know When to Pause: It’s okay to put less urgent tasks on hold. Assess if a task is a priority and decide to focus on what’s more important for now.

Remember, struggling with motivation is normal, and understanding your circumstances can help you take action. If you need support, consider reaching out for help.

In all versions of MacOS, users could easily access menu bar items by clicking at the top of the screen. However, in the latest version called Tahoe, this feature has changed for third-party menu bar icons and some Apple icons. This issue only occurs when the menu bar is light-colored, which happens if the "Reduce Transparency" option is turned on, or if it’s off but the desktop background is very light. The situation is serious, indicating a significant problem in the system.

No summary available.

A sawtooth roof is a type of roofing characterized by a series of ridges with dual pitches on either side. The steeper sides are made of glass to let in natural light while blocking direct sunlight, making it ideal for factories and buildings that need ample daylight. This design became popular during the Industrial Revolution, particularly from the mid-1800s to the mid-1900s, when many factories relied on natural light due to limited electrical lighting.

Key points about sawtooth roofs include:

• Design: They have a distinctive shape that allows for efficient headroom and space utilization, making them practical for industrial buildings.
• History: British engineer William Fairbairn is credited with the early design principles in the 19th century. The first documented sawtooth roof was at Titus Salt’s Saltaire Mills in 1851.
• Advantages: They provide uniform natural light, reduce heat from direct sunlight, and allow for better energy efficiency, especially as interest in renewable energy grows.
• Decline and Revival: Use declined with the advent of electric lighting but has seen a resurgence in recent years as natural lighting is valued for environmental and quality-of-life reasons.

Overall, sawtooth roofs are significant in architectural history and continue to be relevant in modern building design.

No summary available.

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Summary of PureVPN IPv6 Leak Issues

In August 2025, security reports were submitted to PureVPN regarding vulnerabilities in their Linux VPN clients (both GUI and CLI). After three weeks without a response, the findings were made public.

Key issues identified:

1. IPv6 Leaks:

   • When the VPN client reconnects after toggling Wi-Fi or waking from sleep, it fails to protect IPv6 traffic. Users can still access the internet using their ISP's IPv6 address while the client claims to be connected.

2. Firewall Reset:

   • PureVPN resets the user's firewall settings (iptables) upon connection, leaving the system more exposed after disconnecting. This means security settings are lost, which can undermine user safety.

Conclusion: PureVPN does not effectively manage IPv6 protection and alters firewall settings negatively. Users should be cautious when using this VPN service.

The text provides an overview of a website's main menu, which includes sections for various topics such as cognition, development, and disorders of the nervous system. It also features early releases, current issues, an archive, a blog, and a podcast. There are options for authors, information about the editorial board, and links for media inquiries and feedback. Users can search for specific content on the site.

Summary of Midnight Commander

GNU Midnight Commander (mc) is a visual file manager that operates in a text mode with a dual-pane layout. It is free software under the GNU General Public License. Midnight Commander allows users to easily copy, move, delete files, search for them, and execute commands. It includes built-in tools for viewing and editing files.

Installation:
You can install mc using your system's package manager with simple commands, such as:

• For Debian/Ubuntu: apt-get install mc
• For Fedora/Red Hat: dnf install mc
• For FreeBSD: pkg install mc
• For macOS: brew install midnight-commander

Documentation:
To learn how to use mc, press F1 for help or check the manual pages by typing:

• man mc for the main guide
• man mcedit for the editor
• man mcview for the viewer
• man mcdiff for the diff viewer

Customization:
Midnight Commander supports themes. You can use existing skins or create your own.

Contributing & Support:
For support, visit the Communication page. To contribute, check the Development section. Release notes are available on the wiki.

A species of ant called the Iberian harvester ant (Messor ibericus) has been found to clone male ants from another species, the Messor structor. This unusual behavior challenges our understanding of how species reproduce. Normally, female ants need to mate with males of their own species to produce workers, but in some isolated M. ibericus colonies, this is not possible because there are no M. structor males nearby.

Researchers discovered that queen M. ibericus can produce male ants of the M. structor species without mating with them. They observed that 9% of the eggs laid by these queens contained M. structor males, indicating the queens are cloning these males without passing on their own DNA. This finding, published in the journal Nature, suggests a need to rethink species boundaries and reproductive biology. Scientists are now trying to understand how this cloning process works.

Many users ask how to transfer old Mac files to Infinite Mac. The platform has a feature called "The Outside World" drive for importing and exporting files, but it only uses basic web tools, limiting access to the extra data in classic Mac files.

Historically, when Mac files were shared online in the 90s, they often used formats like MacBinary or StuffIt to keep additional data. However, to maintain ease of use, Infinite Mac needed a better solution. Modern .zip files created by macOS can preserve this extra data, so the platform now recognizes these .zip files for easier data importing. It also generates .zip files in this format when exporting, allowing users to access full file contents easily.

A recent update allows users to drag entire folders into the interface, enabling access to resource forks, which are usually hidden from web apps. Notifications have been added to help users discover these features.

Additionally, improvements were made to help users interact with emulators, store large files via GitHub, and fix audio playback issues in browsers. A video demonstration shows these new features in action with an old app being imported, edited, and exported successfully.

Summary of Stategraph Development

Stategraph is being developed to address the challenges of managing Terraform state, which currently relies on file-based methods that don't effectively handle distributed coordination issues.

Key Points:

1. Current Issues with Terraform State:

   • Terraform uses a global lock on a JSON file for state management, leading to significant coordination problems as team sizes and resource counts increase.
   • Workarounds like state file splitting have not solved these issues; they just complicate them further.

2. Stategraph as a Solution:

   • Stategraph treats infrastructure state as a directed graph rather than a flat document, allowing for better management of resource dependencies and updates.
   • By implementing graph database principles, Stategraph enables subgraph isolation, precise locking, and incremental refreshes, improving concurrency and reducing contention.

3. Technical Advantages:

   • Operations on disjoint resources can occur simultaneously without interference.
   • Locking is done at a finer granularity, allowing multiple teams to work concurrently on different resources.
   • Refreshing state becomes efficient as it only processes affected resources instead of the entire state.

4. Implementation Details:

   • Stategraph uses PostgreSQL for its backend, leveraging its capabilities for multi-version concurrency control (MVCC) and ACID transactions.
   • It automatically converts existing Terraform state files into graph representations without requiring changes to configurations.

5. Future Outlook:

   • The team behind Stategraph believes this approach will significantly enhance the efficiency of infrastructure management, moving away from the limitations of file-based state management.
   • Stategraph is currently in development, with plans for further validation and adoption.

In summary, Stategraph aims to improve Terraform's state management by applying established principles from distributed systems to create a more efficient and scalable solution.

English Braille, also known as Grade 2 Braille, is a tactile writing system used for the English language. It includes around 250 symbols representing letters, numbers, punctuation, and many contractions and abbreviations.

There are three levels of English Braille:

• Grade 1: A direct transcription of printed English, suitable for basic literacy.
• Grade 2: A more advanced form that uses many contractions, making it more efficient for reading and writing.
• Grade 3: A personal shorthand not commonly used in publications.

Historically, Braille was introduced in Britain in 1861 and evolved over the years, with the current Grade 2 system adopted in 1902. Braille is a distinct writing system, not just a representation of printed English, and it has been standardized in various forms globally, including Unified English Braille.

This text discusses recent supply chain attacks affecting several npm packages, specifically mentioning the TinyColor package and others. It lists various blog posts from different security companies that provide more information about these attacks. Here are the key points:

• There is an ongoing issue with supply chain attacks targeting npm packages.
• Several blogs have been published on this topic, with links to detailed articles from Socket, StepSecurity, Aikido, Ox, Safety, Phoenix, and Semgrep.
• These articles provide insights into the nature and impact of the attacks.

Overall, the text serves as a resource guide for those looking to understand the recent security breaches in npm packages.

The text provides a link to a full report from the Office of the High Commissioner for Human Rights (OHCHR) related to the Human Rights Council's 60th session. The report likely contains important information and findings about human rights issues discussed during that session. To access the complete details, one can follow the provided link.

Anthropic, an AI company, is facing backlash from the Trump administration due to its refusal to allow the use of its AI models for certain law enforcement activities, including surveillance of U.S. citizens. This decision has frustrated federal agencies that want to use Anthropic's technology, especially since its models are among the few approved for top-secret situations.

Anthropic's policies on surveillance are vague and differ from other AI providers, which often allow for some law enforcement use. The company's stance has raised concerns among contractors working with government agencies, as it limits how these agencies can utilize the AI tools they purchase.

The situation highlights a broader debate about how much control software providers should have over the use of their products once sold to government entities. While traditional software does not typically impose such restrictions, Anthropic's policies reflect its commitment to ethical considerations in AI use, even as tensions with the government grow. If these issues continue, they could negatively impact Anthropic's business with the government, despite the high performance of its models.

Summary of Procedural Island Generation (III)

In this part of the series, we focus on enhancing the terrain elevation of our island using noise layers and mountain peaks. Here are the key points:

1. Paint Map Recap: We start with a basic paint map that outlines land and water. Positive values indicate land, while negative values represent oceans, with smooth transitions between them.

2. Adding Noise Layers: We introduce multiple layers of Simplex noise at different frequencies to add realistic detail to the terrain. Six noise layers are used, each contributing varying levels of detail.

3. Coastal Noise: This enhancement focuses on the coastline, allowing for more variation without affecting inland elevation. It uses a formula that emphasizes detail where land meets water.

4. Mountain Distance Field: We create a distance field from seed points to the nearest mountain peaks. This method uses a breadth-first search approach for a more natural appearance of mountain shapes.

5. Elevation Blending: The final terrain elevation is achieved by blending hill and mountain elevations with smooth transitions, influenced by parameters like coastal noise strength and mountain sharpness.

6. Region Elevation: Elevation for Voronoi regions is calculated by averaging the elevations of the triangles associated with each seed point.

7. Next Steps: The next part will simulate the hydrological cycle, including rainfall patterns and erosion effects, to further define the island's features.

This section builds on previously established foundations to create a more detailed and realistic terrain for our procedural island.

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Summary of Murex

Murex is a modern command line shell designed to be user-friendly and feature-rich. Here are the key points:

• Content Awareness: It supports various data formats like JSON, YAML, and CSV, making it easy to manipulate data.
• Improved Expressions: Murex handles variables and syntax more intelligently, reducing the chances of errors.
• Interactive Features: It provides helpful command line hints from manual pages and AI tools, making navigation quicker and easier.
• Easy to Extend: With a built-in package manager, you can easily share configurations and modules, allowing seamless use across different machines.

Getting Started: You can read the language tour or use the Rosetta Stone guide for quick comparisons with Bash.

Installation: Murex can be installed via popular package managers on macOS, Arch Linux, and FreeBSD. For example, on macOS, you can use Homebrew with the command brew install murex.

For more details, refer to the guides and installation documentation.

Summary of M18 Protocol Repository

The M18 Protocol repository focuses on research related to the Milwaukee M18 charger. The initial steps involved simulating charger commands and determining supported commands, with some data still unknown and open for community contributions.

Hardware Requirements:

• A specific circuit is needed to simulate the charger.
• Use a USB to Serial adapter with a voltage of 3.3V.
• Note: Fake FT232 chips do not support break conditions.

Software Requirements:

• Python is required. Install necessary packages using:

  pip install -r requirements.txt
  

Usage Instructions:

• Run the program using:

  python3 m18.py
  

  or on Windows:

  python.exe m18.py
  

• This opens an interactive shell for sending commands. For a simple health report, use m.health(). To view all registers, use m.read_id().

Diagnostic Submissions:

• You can submit diagnostics to help identify unknown registers using m.submit_form(). You'll need to provide parts of the serial number and battery type.

Spreadsheet:

• A template is available for recording data. Do not request access; instead, make a copy or download it.

Windows Users:

• There are four helpful .bat files:
  • m18_idle.bat: Select a serial device and prepare for battery connection.
  • m18_health.bat: Prints a health report (battery must be connected).
  • m18_interactive.bat: Enter the interactive shell.
  • m18_clipboard.bat: Copies diagnostic registers to the clipboard (edit for your specific port).

This summary captures the essential steps and instructions for using the M18 Protocol repository effectively.

Summary:

When designing user interfaces, it's important to choose the right wording when referring to user-related items. The debate is between using "My" (e.g., "My account") and "Your" (e.g., "Your account").

Key points:

• It's often better to just use the item name alone (e.g., "Account," "Orders," "Cases") as it avoids confusion.
• Using "My" can lead to awkwardness in communication, especially when giving instructions. For example, saying "Go to my cases" could mislead users to think they should go to the speaker's cases, not their own.
• "Your" is clearer and has proven effective in user research, eliminating confusion.
• Use "your" when addressing users and "my" when users are providing information to the system.

For further learning on form design and user experience, consider the course "Form Design Mastery."

AMD has announced that it will discontinue the AMDVLK open-source Vulkan driver project. Instead, the company will focus on the RADV driver, which will now be the officially supported open-source Vulkan driver for Radeon graphics cards. This decision aims to streamline development and enhance support for the open-source community by concentrating resources on one high-performance driver.

Developers and users are encouraged to use and contribute to the RADV driver. This change is seen as a move to strengthen AMD's commitment to open-source Vulkan on Radeon graphics.