Summary: Anthropic Acquires Stainless

On May 18, 2026, Anthropic announced its acquisition of Stainless, a company known for creating software development kits (SDKs) and server tools. This move aims to enhance the capabilities of Anthropic's AI, particularly its Claude platform.

Stainless, founded in 2022, has played a crucial role in developing SDKs for Anthropic since the beginning. Many companies use Stainless to create tools that help developers connect to APIs in various programming languages like TypeScript, Python, and Java.

Katelyn Lesse from Anthropic highlighted that the acquisition will improve how agents (AI systems) connect to data and tools. Alex Rattray, CEO of Stainless, expressed excitement about joining Anthropic, emphasizing the importance of quality SDKs.

This acquisition is part of Anthropic's goal to enhance developer experience and connectivity for their AI agents.

Haiku OS is now running on M1 Macs without using a virtual machine, thanks to a new ARM port. It can boot UEFI images from USB, although USB functionality is currently not working. All 8 CPU cores are operational, and the system successfully reaches a desktop interface. This development is still in the early stages but shows promise for the future.

The article discusses concerns about the negative impact of AI-generated contributions on open source projects, particularly on GitHub.

Key points include:

1. Decline in Contribution Quality: The author highlights that while AI contributions have increased metrics on platforms like GitHub, the quality of these contributions has declined. This is evident in a personal experience where legitimate contributors' efforts were overshadowed by irrelevant and aggressive comments from AI bots.

2. Overwhelming Noise: The influx of AI-generated content led to a flood of notifications and untested pull requests, making it difficult for genuine contributors to engage meaningfully.

3. Efforts to Combat AI Spam: The team attempted to manage the situation by developing systems to assess contributor reputation and implementing an "AI sheriff" to filter out bad contributions. However, these measures were not fully effective.

4. Restricting Contributions: To maintain quality, the team decided to block new contributors from commenting or creating pull requests unless they went through a specific onboarding process, which includes ethical AI guidelines.

5. Workaround Solutions: The team created a method to whitelist contributors by attributing commits to their GitHub accounts, allowing them to bypass restrictions while still maintaining control over the repository’s quality.

6. Call to Action: The author emphasizes the need for the open source community to seriously address the challenges posed by AI in order to preserve the integrity and safety of collaborative projects.

Overall, the text argues that while AI can contribute to growing metrics, it poses significant risks to the quality and security of open source contributions.

Summary of Files.md

Files.md is a simple, private application designed for managing Markdown (.md) files locally. It allows users to store various types of information such as notes, documents, journals, checklists, and tasks all in plain text files that remain on your device.

Key Features:

• Privacy: No data is sent to a server; everything is local.
• Accessibility: No installation needed—just use a web browser.
• Offline Functionality: Works without an internet connection.
• Open Source: The code is free to modify and customize.
• Compatibility: Files are easy to sync using cloud services like iCloud, Dropbox, or Google Drive, or you can host your own server.
• User-Friendly: Simple interface with a focus on essential features to encourage creativity.

How to Use:

1. Open app.files.md in a browser.
2. Install the app from the browser interface.
3. Create and manage files in a designated folder.
4. Use a Telegram bot for quick access to files on-the-go.

Organizational Tips:

• Start with no predefined structure; create a note for each idea.
• Link related notes to enhance understanding and insights.
• Regularly revisit and reflect on your notes to deepen your comprehension.

Limitations of Complex Systems: The app promotes a simpler approach to knowledge management, cautioning against the pitfalls of overly complex systems that may create a false sense of productivity. It emphasizes the importance of active engagement with your thoughts rather than deferring them to elaborate systems.

Contribution Guidelines: The project encourages contributions, especially from junior developers, aiming to simplify code and maintain a flexible structure without unnecessary dependencies.

Overall, Files.md is designed for users who seek a straightforward, private, and effective way to manage their knowledge and thoughts without the complications of more advanced apps.

Elon Musk's lawsuit against his OpenAI cofounders was rejected by a jury in California, which ruled that he filed his claims too late. Musk accused Sam Altman, Greg Brockman, OpenAI, and Microsoft of misusing charitable funds to create a for-profit company. However, the jury agreed with OpenAI's argument that any issues Musk faced occurred before the legal deadlines for filing his claims.

The trial featured significant testimony about the history of OpenAI but ultimately focused on legal questions about promises made to Musk. The jury quickly decided that Musk's lawsuit lacked merit, with the judge noting there was strong evidence supporting their decision.

Following the verdict, OpenAI's attorney criticized Musk's lawsuit as an attempt to undermine a competitor. Microsoft also expressed support for OpenAI after the ruling.

The case's conclusion removes a potential threat to OpenAI as it prepares for an IPO. Musk's attorney indicated they plan to appeal the decision.

Summary of the Bitwarden Situation

In March, Bitwarden increased its Premium price without clear communication, which upset many users. Recently, their long-time CEO Michael Crandell transitioned to an advisory role without any public announcement, and was replaced by Michael Sullivan, who has a strong background in mergers and acquisitions, indicating a focus on profitability and potential sale rather than long-term software development.

Changes at Bitwarden include the removal of the "Always free" promise from their website and a shift in their company values, replacing "Inclusion and Transparency" with "Innovation and Trust." These changes were not formally announced, leading to concerns about transparency.

The author has moved to a self-hosted alternative, Vaultwarden, due to these changes. There are worries about the future of self-hosting with Bitwarden’s new management, as they may restrict open-source access or services. While current self-hosting options work well, the potential for future changes looms large.

Overall, the situation raises questions about Bitwarden's commitment to its users and the viability of self-hosting in the long term.

Summary of the Fil-C Optimized Calling Convention

Overview: Fil-C is a calling convention that ensures memory safety and allows for efficient function calls, even when programs behave incorrectly. It handles various potential errors, such as mismatched function signatures or incorrect argument types, by either panicking or enforcing safe behavior.

Key Features:

1. Memory Safety: Fil-C prevents common programming mistakes (like wrong argument types or counts) from causing unsafe behavior.
2. Efficiency: For typical cases where the programmer follows the correct usage, Fil-C can generate efficient code similar to Yolo-C, passing function arguments and return values in registers rather than using slower buffers.

Calling Process:

• Generic Calling Convention: This serves as a fallback mechanism and includes several safety checks to ensure that function calls are valid.
• Register Optimizations: In normal cases, Fil-C can use registers for passing arguments and return values, avoiding unnecessary overhead.
• Direct Call Optimizations: This allows direct calls to functions without the need for resolution checks or capability checks when certain conditions are met.

Signature Encoding:

• Fil-C uses a unique arithmetic encoding for function signatures that allows multiple argument types and counts to be represented efficiently in a 64-bit integer.

Direct Call Improvements:

• The direct call optimization minimizes overhead by linking calls directly to function implementations when possible, avoiding intermediary steps like capability checks or buffer management.

Conclusion: The Fil-C calling convention significantly improves the performance and safety of function calls by minimizing checks and using efficient encoding techniques, resulting in faster execution while maintaining memory safety.

The blog post discusses advancements in quickly starting AI inference applications on GPUs, achieving a 40x reduction in startup time from several minutes to just tens of seconds. This is crucial as inference workloads are more variable than training workloads and benefit from serverless computing, which requires rapid scaling of resources.

Key strategies include:

1. Cloud Buffers: Maintaining a small pool of ready-to-use GPUs to quickly handle new requests.

2. Custom Filesystem: A specialized filesystem, ImageFS, lazily loads container images from a multi-tier cache, speeding up container starts.

3. Checkpoint/Restore: This technique allows the system to save the state of an application, enabling faster startup by restoring from a previously saved state instead of starting from scratch.

4. GPU Memory Snapshotting: Similar to checkpointing but for GPU memory, it significantly reduces the time needed to prepare GPU resources for use.

These improvements allow for more efficient use of expensive GPU resources, addressing challenges posed by unpredictable demand and underutilization during idle times. The overall aim is to enhance the performance of inference applications, making them more responsive and cost-effective. The post also emphasizes a commitment to sharing knowledge and encouraging collaboration in the field of AI infrastructure.

Agora-1 is a new multi-agent world model that allows multiple participants, whether human or AI, to interact within the same simulated environment in real-time. It supports up to four players in a shared deathmatch simulation, where all players experience a generated world simultaneously. Unlike traditional models, Agora-1 separates simulation and rendering to create consistent views for each participant.

The model learns how the game world evolves based on player actions and how to visually render that world. This structure allows for the creation of new game levels while maintaining gameplay dynamics.

Agora-1 also enhances multi-agent interactions, making it useful for reinforcement learning research. It allows for more complex simulations and can be applied beyond gaming, such as in collaborative robotics. This model aims to foster new types of interactive systems and improve AI training through shared experiences.

Overall, Agora-1 represents a significant advancement in creating shared, dynamic simulations that can evolve with player interactions.

Iran is beginning to use Bitcoin to support its shipping industry. This move allows Iran to bypass some international restrictions and trade more freely. By backing shipping transactions with Bitcoin, Iran aims to enhance its economic activities despite facing various challenges.

Summary of Project Glasswing and Mythos Preview

Project Glasswing involves testing security-focused language models (LLMs) to identify vulnerabilities in systems. The model that gained the most attention is Mythos Preview from Anthropic. This tool significantly improves vulnerability detection and proof generation compared to previous models.

Key Features of Mythos Preview:

1. Exploit Chain Construction: Mythos can combine multiple vulnerabilities to create a more severe exploit, demonstrating advanced reasoning similar to experienced researchers.
2. Proof Generation: It not only identifies bugs but also generates code to prove their exploitability, adjusting its approach based on outcomes.

While other models could find bugs, they struggled to connect them into a coherent exploit, which Mythos Preview excels at.

Challenges with Model Refusals: Mythos Preview sometimes refuses requests for legitimate vulnerability research, but these refusals are inconsistent and vary based on how tasks are framed. This inconsistency highlights the need for additional safeguards when deploying such models in broader contexts.

Signal-to-Noise Problem: Identifying which vulnerabilities are genuine and need immediate attention is challenging. Factors like programming language and model bias contribute to noise in findings. Mythos Preview reduces noise by providing clearer, actionable results.

Limitations of Generic Coding Agents: Using a generic coding agent for vulnerability research is ineffective because it lacks the necessary context and parallel processing needed for thorough analysis. Instead, a structured approach, or "harness," that focuses on narrow tasks yields better results.

Harness Design for Vulnerability Discovery: The harness consists of several stages:

• Recon: Gathers context and generates an architecture document.
• Hunt: Conducts focused searches for specific vulnerabilities concurrently.
• Validate: Independently verifies findings to reduce false positives.
• Gapfill: Ensures thorough coverage by revisiting less explored areas.
• Dedupe: Consolidates findings with the same root cause.
• Trace: Analyzes whether vulnerabilities are reachable by attackers.
• Feedback: Uses discoveries to inform future searches.
• Report: Generates structured reports for better data management.

Implications for Security Teams: While Mythos Preview helps scan and patch vulnerabilities more quickly, simply increasing speed without refining the process can lead to worse outcomes. There is a need for a robust architecture to prevent exploitation, ensuring that vulnerabilities are harder to exploit even if they exist. The principles guiding this architecture will be shared with customers to enhance their security posture.

Overall, the insights from Mythos Preview and the structured harness approach can significantly improve vulnerability management and detection in software development.

The author uses a Mac laptop and a Linux desktop with the same monitor, keyboard, and mouse, but found switching between the two machines cumbersome. To solve this, they upgraded to an MSI MPG 321URX monitor, which has built-in KVM (keyboard, video, mouse) functionality. This feature allows them to easily switch between USB-C for the Mac and DisplayPort for the Linux desktop without having to touch the monitor.

They also use DDC (Display Data Channel) commands to control the monitor through its display cable. This lets them change inputs using command line programs and keyboard shortcuts, eliminating the need to physically interact with the monitor.

For macOS, they used a tool called m1ddc to send DDC commands, and for Linux, they used ddcutil. Both setups allow them to switch inputs quickly using a keyboard shortcut. Windows users can also set this up using the software provided by MSI.

In summary, the author created a seamless way to switch between their work and hobby computers using advanced monitor features and command line tools, making their workflow much easier.

The text discusses the Ruby programming language's handling of dates, specifically focusing on constants in the Date class like Date::ITALY, Date::ENGLAND, Date::GREGORIAN, and Date::JULIAN. These constants represent the Julian day numbers when different countries switched from the Julian calendar to the Gregorian calendar.

• Julian Day Numbers: These numbers help track dates across different calendar systems. For example, Date::ITALY equals 2,299,161, marking Italy's switch to the Gregorian calendar.

• Calendar Reform: The Julian calendar, used for many years, became inaccurate over time. Pope Gregory XIII reformed it in 1582, skipping 10 days to realign the calendar with the seasons.

• Proleptic Dates: The term refers to extending the use of a calendar system backward in time. The Ruby Date class uses proleptic dates to represent historical dates accurately.

• Special Constants:

  • Date::GREGORIAN is set to negative infinity, meaning the Gregorian calendar has always been in use.
  • Date::JULIAN is set to infinity, indicating the Julian calendar would be used indefinitely.

• Practical Use: When creating dates in Ruby, you can specify which calendar system to use, which is especially useful for historical dates in different countries that adopted the calendar reforms at different times.

Overall, the text highlights how Ruby's date handling reflects historical calendar complexities and provides tools for accurate date representation across different systems.

Research has revealed that Voice AI systems can be attacked using sounds that humans cannot hear. These hidden audio signals can manipulate how these systems operate. This finding highlights a vulnerability in AI technology, raising concerns about cybersecurity and the potential for hacking.

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The provided text appears to be a navigation menu for a website, possibly related to education or resources. It includes options like "Lectures," "Projects," "Library," and "Skills," along with language selections for multiple languages. There are no complex sentences or terms to simplify, as it mainly consists of menu items and language options.

In summary, it's a navigation menu with various sections and language choices for users.

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John Graham-Cumming's blog post discusses a project inspired by XKCD comic 3242, titled "The Aperiodic Table." He notes that the comic isn't truly aperiodic, like Penrose tiling, and introduces his website, aperiodictable.com. This site features a periodic table arranged in a Penrose P3 tiling, allowing users to click and drag the table on the screen, and print it. The site is hosted on Cloudflare Pages.

The debate about consciousness often stems from our fear of losing our unique identity as humans, similar to the resistance faced by Darwin's theory of evolution. Historically, people viewed humans as having a separate body and soul, where the soul was seen as immortal and transcendent. The current discussion on consciousness is influenced by these longstanding beliefs, even as we attempt to update our understanding with modern science.

Carlo Rovelli argues that consciousness should not be viewed as a separate phenomenon but rather as a complex natural event related to physical processes in the brain. This perspective challenges the idea of a "hard problem of consciousness," which suggests a gap between physical brain activity and subjective experience. Rovelli believes that this gap is a misunderstanding, as experience is a natural part of the world, not something apart from it.

He critiques the notion of "philosophical zombies" — hypothetical beings that behave like humans but lack consciousness — arguing that this idea does not prove a distinction between physical behavior and inner experience. Instead, he asserts that both perspectives (subjective and objective) are valid and interconnected.

Ultimately, Rovelli concludes that our mental life is consistent with physical processes, and we can embrace the idea that our souls and emotions are part of nature, rather than something separate or transcendent. He encourages us to move away from dualistic thinking and recognize that our spiritual experiences are part of the same universe as everything else.

InsForge is an open-source platform designed for AI coding agents, similar to Heroku, allowing them to deploy, operate, and debug applications easily. The platform is available under the Apache 2.0 license and is accessible on GitHub.

The founders created InsForge to simplify backend management for coding agents, enabling them to perform tasks through a command-line interface (CLI) instead of manual configurations. Key features include:

• A variety of backend functionalities such as authentication, databases, frontend hosting, and more.
• Backend branching, which allows agents to work on a separate version of the backend to prevent mistakes.
• Server telemetry for agents to monitor system performance and diagnose issues.
• A dedicated debug agent that helps troubleshoot deployment failures.
• A backend advisor that checks for security and performance issues and suggests fixes.

Users can try InsForge on its cloud platform and are encouraged to provide feedback to the small team behind it.

Garry Tan, the CEO of Y Combinator, recently praised journalist Dion Lim's new book, "Amplified," which highlights issues faced by Asian-Americans. However, there are concerns about Lim's reporting, particularly regarding her coverage of crimes against Asian-Americans during the pandemic.

Tan described Lim as a brave journalist who criticized San Francisco's District Attorney, Chesa Boudin, for not adequately prosecuting these crimes. Yet, many believe Lim's reporting contained inaccuracies, particularly about a case involving a carjacking, where she claimed charges against a juvenile had been dropped—a claim that was later proven false.

Critics argue that Lim pressured victims and witnesses into providing quotes for her stories, raising ethical concerns about her reporting methods. In response, another journalist, Radley Balko, defended his reporting on Lim, clarifying that he aimed to correct the record and address misinformation. He noted that the backlash against Lim's reporting was part of a broader narrative involving tensions between Boudin's office and the police department.

Overall, while Lim aimed to highlight important issues, her work has faced significant scrutiny for its accuracy and ethical practices, prompting a discussion about the complexities of journalism and power dynamics in San Francisco.

Alice and Gavin Munro have spent 20 years developing a unique method of growing trees into chair shapes at their orchard in Derbyshire. They grow the chairs upside down, a process that takes six to nine years, followed by a year of drying. They shape the trees by training and pruning young branches over recycled plastic molds and grafting them together to form solid pieces.

Gavin's inspiration came from a bonsai tree he saw as a child, and after facing health challenges, he found patience in this craft. He and Alice started their company, Full Grown, in 2006, combining their backgrounds in furniture design and communications. They have learned that the process is far more complex than they initially anticipated.

Currently, they are growing various items, including chairs and benches, and plan to launch Full Grown Academy to teach others how to grow their own furniture. Their work has gained recognition, with a bronze cast of one of their chairs set to be displayed at the Chelsea Flower Show. Their creations have also been featured in high-profile exhibitions and are held in several museums.

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Linus Torvalds, the leader of the Linux kernel project, has expressed frustration with the project’s security mailing list. He says it has become "almost entirely unmanageable" because multiple researchers are using AI tools to find the same bugs, leading to many duplicate reports. This situation creates unnecessary work, with people spending time forwarding messages or noting that issues have already been fixed.

Torvalds believes that AI-detected bugs are not secret and that discussing them privately is unproductive. He encourages users of AI tools to read the documentation, create patches, and contribute meaningfully instead of just submitting reports without understanding. He emphasizes that many people likely find the same bugs and urges researchers to avoid adding to the confusion. His view contrasts with another kernel maintainer, Greg Kroah-Hartman, who sees AI as a useful tool for the open-source community.

Scientists have discovered a new type of crystal called a clathrate within trinitite, a glasslike substance formed from the first nuclear bomb test, known as the Trinity test, in 1945. The Trinity test created extreme conditions with temperatures over 1,500 degrees Celsius and very high pressures, resulting in unique material formations.

The clathrate has a cage-like structure made of silicon atoms, trapping other elements like calcium, copper, and iron. This finding adds to previous discoveries of quasicrystals in trinitite, which also formed under similar extreme conditions and challenge traditional ideas about crystal structures. Together, these discoveries highlight how rare, high-energy events can lead to unexpected materials not typically found in nature or laboratory settings.

The study was published on May 11 in the Proceedings of the National Academy of Sciences USA.

The 1,024,000² 2b2t World Download Project is now available, containing around 24 TB of data from the Minecraft server 2b2t. Key areas included are:

• A 1,024,000² area of the Overworld (Dec 25, 2025 - Apr 13, 2026)
• A 512,000² area of the Overworld (Nov 11, 2024 - Dec 12, 2024)
• A 256,000² area of the End (Jan 23, 2026 - Feb 15, 2026)
• A 100,000² area of the Nether (Jun 9, 2025 - Jun 14, 2025)

The project took over a year of hard work, with significant financial investment and collaboration among several contributors. It involved innovative techniques for data collection and storage.

A torrent for downloading this extensive data is in the works but may take weeks to prepare. Meanwhile, users can access a range of tools, including a Wayback Machine for viewing past snapshots of the server.

The creators encourage community involvement and support through donations or participation in testing and moderation. They express gratitude to all who contributed to this large-scale archival effort.

For more information, you can visit their Discord or GitHub pages.

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The text discusses the conflict between Danish philosopher Søren Kierkegaard and poet Peder Ludvig Møller during Denmark's cultural renaissance in the 1840s. Both were prominent figures but took different approaches to challenge societal norms. The conflict was ignited when Møller published a negative review of Kierkegaard's work, misinterpreting its message and linking it to Kierkegaard’s personal life.

Kierkegaard responded by exposing Møller's hidden ties to a satirical magazine, The Corsair, which fueled public ridicule against him. This backlash, known as the "Corsair Affair," led to intense public mockery and personal attacks that deeply affected Kierkegaard.

Despite the humiliation, Kierkegaard used this experience to critique modern society's obsession with public opinion, which he saw as shallow and damaging to individual identity. He argued that true individuality comes from inwardness and a relationship with God, rather than from societal validation.

Kierkegaard's thoughts on the crowd and public opinion resonate today, as he predicted the rise of social media and its impact on personal identity. He emphasized the importance of being recognized by God for true selfhood, rather than seeking approval from the masses.

Ultimately, Kierkegaard's struggle highlighted the tension between individuality and societal pressures, and he believed that true fulfillment and identity come from a deeper, spiritual connection rather than through the superficial judgments of the crowd.

In a recent interview, Chris Willis, the Chief Design Officer at Domo, expressed concern about the overwhelming hype surrounding artificial intelligence (AI) and the anxiety it causes in the workforce. He noted that many people feel pressured to adopt AI technologies quickly, leading to a lack of a clear strategy for their use. Companies often invest heavily in AI tools but expect immediate innovation without understanding how to integrate them effectively into their operations.

Willis criticized the marketing of AI, which often employs fear tactics, pushing companies to act quickly or risk falling behind. He believes this approach is not sustainable for genuine innovation. He pointed out that AI models are often presented without clear specifications, causing confusion about their capabilities.

He emphasized the importance of starting with specific business needs rather than lofty goals. For example, automating simple tasks, like checking invoices, can lead to successful outcomes. Willis warned against blindly replacing human roles with AI, as this can lead to further issues, highlighting the need for companies to understand where human judgment is necessary.

Ultimately, Willis suggests that companies need to reevaluate their strategies for AI investments to ensure they are making informed decisions that lead to real benefits.

Aether DB Overview

Aether DB is a high-performance database storage engine built in Rust, designed to be reliable and efficient. It complies with ACID principles, ensuring safe transaction processing.

Key Features:

• Data Structure: Uses a persistent B+ Tree integrated with a buffer manager for fast data access.
• Logging and Recovery: Implements Write-Ahead Logging (WAL) with formal verification, and uses the ARIES recovery protocol for data safety after crashes.
• Flexible Indexing: Supports multiple index types including B+ Tree, Skiplist, RAX radix tree, and LSM tree frameworks with customizable compaction strategies.
• Transactions: Offers ACID transactions, including features like savepoints and two-phase commit.

Getting Started: To use Aether DB, add it to your Rust project and refer to examples for different functionalities like key-value storage and various index types.

Management Tools: Aether includes a unified command-line interface (CLI) and an interactive terminal user interface (TUI) for easy database management. It supports various commands for monitoring, backups, and recovery.

Performance: Aether DB is optimized for performance with low latency for data operations and efficient crash recovery.

Documentation and Support: Comprehensive documentation is available, including guides for getting started, examples, performance tuning, and architecture design. Contributions to the project are welcomed.

Future Plans: Upcoming features include enhancements like multi-version concurrency control and a SQL query layer.

License and Contribution: Aether DB is open-source under the MIT License, and contributions are encouraged.

Summary

The author shares their journey of working with 3D graphics, starting with their first computer, the ZX Spectrum 48K+, received at age 13. Over the years, they developed a passion for 3D rendering, leading to the creation of a "points-only" 3D rendering system on an ATmega328P microcontroller using a low-resolution OLED display.

Recently, they aimed to run this 3D rendering on the ZX Spectrum. They successfully created a program that displays 3D models, including a statue and a sphere, which can be tested using an emulator called FUSE. The setup involves a simple Makefile and requires a cross-compiler called z88dk for building the program.

To optimize performance on the limited hardware of the ZX Spectrum, the author adjusted their calculations to focus on a viewpoint orbiting around the model instead of rotating it. They improved speed by rewriting the code in Z80 assembly, which allowed faster calculations compared to C. They also precomputed data to further increase rendering speed, achieving up to 40 frames per second.

The author explains the math behind the 3D projection used in the program, detailing how floating-point data for the 3D model was transformed and scaled to fit the ZX Spectrum's requirements. The final code efficiently maps 3D coordinates to screen pixels with minimal calculations.

Excited about the project, the author looks forward to testing the code on an actual ZX Spectrum and invites others to try it out as well.

Anduril, a defense-tech company, is working with Meta to develop augmented-reality headsets for the U.S. military. The goal is to enhance soldiers' capabilities by allowing them to order drone strikes and access vital information through eye-tracking and voice commands. Quay Barnett, a vice president at Anduril, aims to integrate drones and soldiers into a unified system.

There are two key projects: the Soldier Born Mission Command (SBMC) program, backed by a $159 million contract, and a self-funded project called EagleEye, which is not officially requested by the military but is expected to be adopted. However, both systems are years away from being ready, with the Army not expected to start production until 2028.

The headsets are designed to display important data, such as maps and target information, directly in a soldier's line of sight. Users can interact with the system using voice commands and potentially even eye movements. The technology is aimed at reducing information overload for soldiers, who often struggle to process multiple streams of data.

Anduril is not the only company in this space; Rivet and Elbit are also developing similar technologies. The prototypes face challenges such as durability in harsh environments, managing weight for soldiers, and ensuring functionality without constant internet access. For the Army to adopt these systems widely, they must be effective and user-friendly.

Researchers at the University of Washington plan to have preschool teachers wear cameras to record their perspective in classrooms. This footage will be used to create AI models. The program is designed as opt-out, meaning parents must actively prevent their children's recordings from being processed. Parents were informed that the cameras would capture regular interactions during class without changing children's routines. Recordings will happen for up to 150 minutes during morning hours, with a maximum of four visits per month.

Summary of Auto-Identity-Remove Tool

The Auto-Identity-Remove tool is a program for macOS and Linux that helps you automatically remove your personal information from over 500 data broker websites each month. Here are the key points:

• Functionality:

  • Searches data broker sites for your name and state.
  • Finds your specific listing and submits opt-out forms automatically.
  • Solves CAPTCHAs using an AI service.
  • Tracks which brokers you've opted out from to avoid resubmitting forms too soon.
  • Notifies you when the process is complete and opens any sites needing manual action.

• Requirements:

  • Works on macOS or Linux (various distributions).
  • Requires Node.js and Playwright browsers.
  • Linux users need additional packages for notifications and email.

• Setup Process:

  1. Clone the repository from GitHub.
  2. Install necessary dependencies.
  3. Run an interactive setup to input your personal information and configure notifications.
  4. Schedule the script to run automatically each month.

• Privacy and Safety:

  • Your personal data is stored locally and not shared online.
  • Submitting opt-out requests is a legal way to ensure brokers remove your information.

• California Residents: A new official registry for automatic opt-outs will be available from August 2025.

• Comparison to Paid Services: This tool is free and provides transparency, while paid services cover more brokers and may be more convenient.

This tool is ideal for individuals who prefer to manage their own privacy without recurring fees.

No summary available.

The "Ask an Astronaut" project allows you to find answers to various questions from astronauts on the International Space Station. It features over 10,000 questions and 333 hours of video where astronauts share their experiences.

The Trump administration has decided to pause its participation in the Permanent Joint Board on Defence, a long-standing Canada-U.S. defense advisory group. This decision is based on claims that Canada has not made sufficient progress in military spending commitments. U.S. Undersecretary of War Elbridge Colby stated that Canada has failed to meet its defense obligations, which affects the safety and security of both countries.

The board, created in 1940, is important for bilateral relations and has not met since November 2024. Colby suggested that Canada’s leadership has focused on forming alliances outside of the U.S., contributing to this decision. The move may pressure Canada to increase its military spending and could impact future defense agreements and military purchases, like the F-35 fighter jets.

While Canadian officials express disappointment, some analysts believe this could be a tactic to influence Canada’s defense procurement decisions. The full impact of this withdrawal on defense cooperation is still uncertain.

Summary:

The article explains how to create a simple radio transmitter and receiver using household items, specifically a grill lighter and aluminum foil balls. Radio waves, which are a type of low-energy electromagnetic radiation, allow for wireless communication, as seen in devices like radios, GPS, Wi-Fi, and Bluetooth.

To make a transmitter, the lighter's piezoelectric crystal produces a voltage when activated, creating an electric field that generates radio waves. By using an AM radio, you can hear these waves by holding the lighter near the antenna.

For the receiver, you can build a circuit with aluminum foil balls, a battery, and an LED. The foil balls, when hit by radio waves, improve their electrical connection, allowing the LED to light up and indicate that a radio signal has been detected. This receiver, known as a coherer, was used historically in early wireless communication.

The text also touches on the history of radio, noting that early systems were limited to Morse code. It highlights how radio technology evolved to support voice and music, leading to its prominence in homes in the 1920s. While the DIY setup is simple, it can only transmit on one channel, which limits its practicality in modern communication.

Summary:

Great news! The jank programming language now has a new custom intermediate representation (IR) to optimize its performance and compete with the Java Virtual Machine (JVM). The creator expresses gratitude to sponsors for supporting the project.

What is Intermediate Representation (IR)? IR is a simplified version of program instructions used by compilers. It allows for easier optimizations and can be adapted for different CPU architectures. Common IRs include JVM bytecode and LLVM IR.

Why a Custom IR for jank? Previously, jank relied on LLVM for optimization, but LLVM's low-level nature limited its ability to optimize Clojure code effectively. The new IR is designed to better reflect Clojure's features, making it easier to optimize.

IR Features:

• The IR is based on SSA (Single Static Assignment), which simplifies optimization.
• It is stored in C++ structures but can be represented in Clojure for testing.
• The IR allows for direct handling of Clojure’s semantics, such as vars and functions.

Optimization Process: The creator plans to optimize jank starting with a simple benchmark: the recursive Fibonacci function. Initial results showed jank was significantly slower than Clojure, but various optimizations (like inlining functions and reducing unnecessary instructions) improved performance dramatically.

Key Optimizations Achieved:

1. Inlining mathematical operations reduced execution time.
2. Eliminating redundant instructions further improved performance.
3. Implementing tagged pointers allowed jank to use integers more efficiently, drastically speeding up execution.

After these optimizations, jank’s Fibonacci implementation went from 5,522 milliseconds to 114 milliseconds, making it nearly twice as fast as Clojure.

Future Plans: The creator intends to continue optimizing jank with more benchmarks and aims to prepare for a beta release. They discuss the inherent challenges of competing with JVM optimizations and invite community involvement in development.

In conclusion, jank is progressing towards becoming a competitive alternative to JVM, with ongoing efforts to enhance its performance and capabilities.

In my work on Perfetto, a performance debugging tool, I often encounter users asking unusual questions, like how to split a trace into multiple files. Instead of answering immediately, I focus on understanding their underlying needs. This approach helps both the user and me: they gain a better understanding of the tool, and I learn about areas of confusion.

When users ask strange questions, I follow a mental checklist to diagnose the issue. I assess whether their question is common, reasonable, and aligned with the tool's design. Often, users don’t fully understand the philosophy behind the tool or how it should be used. They may request features based on misconceptions about the tool's capabilities.

Sometimes users know their problem but don’t realize how to utilize existing features. For example, instead of splitting a long trace, they could use Perfetto's periodic trace snapshots to achieve their goal more efficiently.

In rare cases, user requests can reveal a need for new features, but I prefer to wait and gather more feedback before committing to development. This cautious approach helps avoid unnecessary technical debt.

In summary, the first version of a user's question often misses the mark. By asking clarifying questions, I can guide users to the right solution and gain insights that could lead to product improvements. It's important to take the time to understand the user's needs rather than rush to provide quick answers.

New York Governor Kathy Hochul and New York City Mayor Zohran Mamdani announced a new tax proposal aimed at wealthy individuals who own second homes in New York City. This tax, targeting properties valued over $5 million, is part of a broader budget plan and seeks to generate at least $500 million annually for the city. However, it does not include a more extensive tax increase on the state's richest residents, a key demand from some progressive groups.

Critics, including business leaders and moderates, argue that this tax could push wealthy residents to leave the city. While the mayor views this tax as a significant win, he continues to advocate for additional tax measures aimed at the ultra-wealthy. The proposal has sparked mixed reactions, with some groups feeling it doesn't address larger budget deficits or social program funding adequately.

The situation remains dynamic, with ongoing negotiations and discussions about the final budget details.

GenCAD is a new model for generating 3D CAD (Computer-Aided Design) models based on images. Unlike traditional methods that often use simpler data forms like meshes, GenCAD maintains the accuracy and flexibility needed for engineering tasks by producing both the 3D model and the complete history of CAD commands, known as a CAD program.

The GenCAD model works through four main steps:

1. It uses an autoregressive transformer to understand CAD command sequences.
2. It employs a contrastive learning model to connect CAD command sequences with corresponding images.
3. It includes a diffusion model that generates CAD command sequences based on input images.
4. Finally, it has a decoder that transforms these sequences into parametric CAD commands.

Overall, GenCAD aims to improve 3D modeling from images, making automated design processes more accurate and adaptable.

Summary of Voyager Spacecraft and Their Engineering Challenges

NASA continues to operate the Voyager spacecraft using old software written in a programming language that few people understand today. The story often suggests that only a few engineers in their 80s manage this, but the reality is a bit more complicated.

1. Software and Hardware: The Voyager spacecraft use assembly language designed for specialized processors from the 1970s. There are three main computer systems on each Voyager, with the Flight Data Subsystem being key for transmitting scientific data.

2. Misunderstandings About Programming Languages: Many reports incorrectly state that Voyager runs on Fortran, which is actually used for ground systems and tools, not the onboard flight software.

3. Memory Limitations: The total memory on Voyager systems is very small by today's standards—about 64 to 70 kilobytes, comparable to an old Apple II computer.

4. Loss of Documentation: Over the years, much of the original documentation has been lost, making it difficult for current engineers to understand the spacecraft fully.

5. Generational Shift: Larry Zottarelli, the last original Voyager engineer, retired in 2016, marking a significant change in the team. Today’s engineers are younger and not all in their 80s, but finding new engineers skilled in assembly programming is a challenge.

6. Future of the Mission: The hardware is aging and will slowly decline in capability. NASA anticipates that engineering data may continue to be collected for several years after scientific data stops, with the next significant milestone being the 50th anniversary of the Voyager launch in 2027.

Overall, while the code is not unreadable, the loss of institutional knowledge and documentation poses a significant challenge for the future of the Voyager program.

The text discusses a piece of 16 bytes of x86 assembly code released at the Outline Demoparty in May 2026, which creates an infinite Sierpinski fractal while generating audio. Here are the key points:

1. Overview: The code is an example of working within strict limitations in the demoscene, using only 16 bytes of assembly to achieve complex visual and audio outputs.

2. Initialization: The code starts by setting up a video mode that prepares a text display area in memory. This creates a uniform canvas for the fractal to develop.

3. Algorithm: The core of the program uses XOR operations to generate the Sierpinski triangle fractal. It operates in a way that isolates bit patterns, which are essential for creating the fractal's visual representation.

4. Audio Output: The code also sends data to the internal PC speaker, translating the fractal's geometry into sound. Bit manipulation affects the speaker's output, resulting in specific audio patterns that reflect the fractal's structure.

5. Memory Traversal: Instead of moving forward through memory, the code steps back by 56 bytes, affecting both the visual and auditory output. This change alters the frequency of the sounds produced.

6. Visuals and Audio: The visual output appears as flickering columns of characters, while the sound varies in tone based on the fractal's structure. The interaction with the computer's memory state can change the final output, making it sensitive to the system used.

7. Practical Considerations: The output can vary depending on the hardware and memory state. To achieve consistent results across different systems, additional setup code would be needed, but this would exceed the strict 16-byte limit.

Overall, the project showcases creativity and technical skill in programming by effectively using minimal resources to achieve complex results.

Summary of Prolog Coding Horror

The text discusses common pitfalls in Prolog programming and emphasizes the importance of following certain coding rules to avoid defects. Here are the key points:

1. Purpose of the Page: It's aimed at Prolog programmers who may want to stray from conventional methods. However, deviating from established rules can lead to costly mistakes.

2. Defective Programs: Prolog programs can have two main defects:

   • Reporting incorrect answers.
   • Failing to report intended solutions.

3. Causes of Defects:

   • Using impure constructs (like !/0 and var/1) can lead to missing solutions.
   • Modifying the global database can create unpredictable dependencies.
   • Printing output directly to the terminal makes reasoning about results difficult.

4. Low-Level Constructs: Relying on outdated, low-level language features limits understanding and makes Prolog harder to teach and learn. Newer constructs, like CLP(FD) constraints, should be embraced.

5. Example - Horror Factorial: The text critiques a flawed implementation of a factorial function that loses solutions and introduces errors. A corrected, more declarative version is provided, which retains generality and correctness.

6. Conclusion: Programmers should embrace declarative constructs in Prolog to improve their programs. Rebellion against outdated practices is encouraged, but only where it makes sense.

Overall, the message is to prioritize clarity and correctness in Prolog by using modern, pure programming techniques.

The text discusses the design and security features of a Provably Secure Operating System (PSOS) by Richard J. Feiertag and Peter G. Neumann, presented at a 1979 conference. Here are the key points:

1. Design Methodology: PSOS is structured using the Hierarchical Development Methodology (HDM), which provides formal techniques for defining system modules and their connections, ensuring security.

2. Capabilities: The system employs a capability mechanism that controls access to objects. Each capability has a unique identifier and a set of access rights, which cannot be altered once created, enhancing security and control.

3. Access Rights: These rights dictate what operations can be performed on objects. They are interpreted by modules responsible for managing those objects, following a rule that access rights must always be more powerful than their absence.

4. Protection Mechanism: The capability system serves as a flexible protection mechanism, ensuring that operations on objects are controlled and secure.

5. Hierarchical Structure: PSOS consists of hierarchical data and procedure abstractions, allowing for organized management of system resources. Each level of abstraction can be implemented in hardware, firmware, or software.

6. Modularity: The design encourages strong modularity, enabling various applications to utilize the capabilities effectively without unnecessary complexity.

7. Kernel Comparison: The text contrasts PSOS with kernel-based architectures, highlighting PSOS's flexibility in supporting different security policies and subsystems without needing a complex kernel.

8. Conclusion: The authors argue that the formal techniques used in PSOS lead to a more secure and reliable operating system compared to existing systems.

Overall, PSOS aims to provide a robust framework for secure operating systems by using formal methods and a clear structure for capabilities and access control.

No summary available.

Summary:

The author reflects on the emotional experience of having a child leave home for college and adulthood. They acknowledge the mixed feelings of joy and sadness that come with this transition. It's important to celebrate the success of raising a child to independence, but also to recognize the sense of loss that follows.

The author shares their own experiences with parental expectations and the struggles of maintaining a healthy relationship. They emphasize the importance of allowing kids to make mistakes and learn from them, rather than being overprotective. Regular communication, like weekly dinners, can help maintain family connections without being intrusive.

Ultimately, the message is that children should feel free to pursue their own lives, and parents should focus on being supportive and loving without expecting anything in return. When love is genuine, children will naturally want to stay in touch and come back home.

Summary of Benedict Evans's Insights (May 2026)

1. AI Impact and Capital Deployment: AI is transforming industries, with significant changes in how capital is allocated.

2. Technological Shifts: Platforms in technology change roughly every 10-15 years, reshaping the industry. Past shifts included PCs, mainframes, the web, smartphones, and now generative AI.

3. Effects of Platform Changes: When platforms shift, it affects innovation, investments, and company creation. New technologies can create new markets or pose existential threats to existing businesses.

4. Market Dynamics: Historical data shows Microsoft's dominance in the PC era shifted with the rise of smartphones, indicating how platform changes reset the tech industry.

5. Investment Perspectives: Business leaders stress the importance of investing adequately in new technologies. The risk of under-investing is seen as greater than that of over-investing.

6. Capital Expenditure Growth: Major tech companies are planning significant capital expenditures, reflecting the increasing demand for technology infrastructure.

7. Semiconductor Industry Trends: There is a notable surge in chip demand, raising questions about whether this signals a new investment cycle in the semiconductor industry.

This summary captures the essential points about the evolving tech landscape and investment strategies highlighted by Benedict Evans.

The performance of the Linux 7.1 kernel has improved significantly, showing a 13% increase over the previous version, Linux 6.6 LTS, when tested on an AMD Ryzen Threadripper 9980X workstation. The testing was conducted over three weeks and compared several kernel versions, revealing that Linux 7.1 offers better performance across various workloads without major issues. The tests were performed on a high-end system with a 64-core processor, ensuring consistent hardware and software configurations. Linux 7.1 is set to be officially released in mid-June and includes many new features alongside performance improvements.

Summary of rkdebian — Debian 12 for Doogee U10 (RK3562)

• Release Information: A pre-release image of Debian 12 for the Doogee U10 tablet is available for download, allowing the tablet to run full Debian without needing to unlock the bootloader. Users can boot from an SD card and return to stock Android by removing the card.

• Build Process: The Debian image was created from scratch without any vendor support, using open-source repositories as a base and contributions from various developers.

• Hardware Compatibility: The Doogee U10 is powered by a Rockchip RK3562 processor, featuring 4 GB of RAM and 128 GB of storage. Most features like display, touchscreen, Wi-Fi, Bluetooth, and audio work fully, but 3D acceleration and camera colors need some improvements.

• Default Apps: The image includes pre-installed applications such as Firefox ESR, Chromium, FreeTube, and more. It has Flatpak support for additional app installations.

• NPU Support: The tablet supports local inference for language models using the integrated NPU (Neural Processing Unit), which is active for certain tasks.

• Known Issues: Some issues exist, such as battery reporting errors and camera color calibration requirements.

• Building Instructions: Users can build their own images by following specific commands and setting environment variables for customization.

• Updating: Updates can be applied to the Debian installation without reflashing the SD card, using a simple package drop method.

• Image Layout: The SD card image includes a partition table and is designed to automatically expand on first boot.

• Licensing: The software is released under the MIT License, with third-party components retaining their own licenses.

This project allows users to freely run Debian 12 on their Doogee U10 tablet while maintaining the ability to revert to Android easily.

No summary available.

No summary available.

During an air show at Mountain Home Air Force Base in Idaho, two Navy EA-18 fighter jets collided mid-air on May 17, 2026. Fortunately, all four pilots safely ejected and landed using parachutes. The incident did not injure anyone on the ground, and emergency responders quickly secured the area.

The jets were performing a demonstration when the crash occurred. Videos from spectators captured the moment of impact and the subsequent ejection of the pilots. The air show, which included various flying demonstrations, was a significant event, marking the first at the base since 2018.

Local officials and organizers expressed gratitude that everyone involved was safe and praised the professionalism of the emergency teams. The air show industry has been actively working to improve safety, with no spectator fatalities reported since 1952. Following the incident, a road near the base was closed for investigation.

In "A Good Lemma is Worth a Thousand Theorems," Doron Zeilberger argues that while theorems are important in mathematics, they often lead to dead ends. In contrast, lemmas, which may seem simple or trivial, can have immense value and impact, often surpassing that of complex theorems. Zeilberger highlights the significance of several key lemmas, particularly Szemeredi's Regularity Lemma, which has played a crucial role in major mathematical breakthroughs, including the Green-Tao theorem on prime numbers.

He emphasizes that a true lemma should be widely applicable, obvious once stated, and aesthetically pleasing. Zeilberger also notes that while theorems are what mathematicians are known for proving, lemmas often do the real work behind the scenes. Overall, he believes that the appreciation of lemmas is essential in the field of mathematics.

Chris Colin explores the idea of "vibe coding," a new approach to software development that allows anyone, regardless of coding experience, to create apps. After a personal incident involving his mother and a dog, he becomes motivated to tackle the everyday frustrations people face, like dealing with bureaucratic inefficiencies.

He imagines an app that tracks these "sludge" experiences—small but annoying tasks that consume our time. With the help of AI (specifically a tool called Claude), Colin embarks on building this app, finding it surprisingly accessible and engaging. The app allows users to log their frustrating experiences, offering insights into systemic problems while rewarding them with motivational quotes and cute animal pictures.

As he develops the app, Colin reflects on the potential downsides of everyone creating their own solutions, worrying about the risk of adding to the very sludge they seek to eliminate. Despite these concerns, he successfully launches the app, creating a communal space for people to share and address their grievances. In doing so, he highlights the importance of recognizing how individual frustrations contribute to larger systemic issues.

Summary of NumOS: Open-Source Scientific Graphing Calculator OS

NumOS is an open-source scientific and graphing calculator operating system designed for the ESP32-S3 microcontroller. It aims to compete with popular calculators like the Casio fx-991EX and TI-84 Plus CE. Key features include:

• Giac CAS Engine: A powerful symbolic math engine for complex calculations.
• Natural Display: Mathematical expressions are rendered as they appear on paper, including real fractions and radicals.
• User Interface: Modern design with smooth transitions and a user-friendly launcher.
• Modular App Architecture: Each app functions independently, improving organization and usability.

Current Development Status:

• Major changes are underway, including the migration to Giac for better symbolic calculations.
• Users compiling from the main branch may face UI glitches. For stability, it's recommended to check the Releases section.

Key Features:

• Symbolic differentiation and integration.
• Equation solving with step-by-step outputs.
• Real-time graph plotting and simulation applications like Particle Lab and Bridge Designer.
• Comprehensive settings for customizing output and precision.

Hardware Requirements:

• ESP32-S3 N16R8 microcontroller with 16MB Flash and 8MB PSRAM.
• ILI9341 TFT display for visual output.

Getting Started: To set up NumOS, you need PlatformIO and USB drivers for the ESP32-S3. Instructions for building and flashing the software are provided.

Contributions: The project encourages community involvement, and contributors are welcome to enhance features and functionalities.

Future Plans: Planned features include advanced CAS capabilities, a physical keyboard, and custom PCBs for better hardware integration.

NumOS aims to provide a robust, open-source alternative for scientific calculations, focusing on user experience and functionality.

Summary of Mezz

Mezz is a tool designed for inspecting your own Internet of Things (IoT) devices within a secure Wi-Fi network. It acts like a bridge between your devices and your home network, allowing you to monitor their activity.

Key Features:

• It creates a small, isolated Wi-Fi network using a Linux computer with two network interfaces: one for Wi-Fi and another for a wired connection.
• It provides DHCP and DNS services for connected devices and can log DNS queries, helping you track what your devices are communicating with.
• It is intended only for educational use and authorized testing on devices you own.

Requirements:

• A Linux host with certain capabilities (like iptables and a compatible Wi-Fi adapter).
• Docker Engine version 20.10 or newer.
• A wired connection for internet access.

Setup Instructions:

1. Create a new directory and download the necessary files.
2. Edit the configuration file to specify your network interfaces.
3. Use a simple command to start the service.

Optional Features:

• You can add extra services, such as a proxy for intercepting HTTP/HTTPS traffic.

Documentation:

• There are resources available for configuring network settings, troubleshooting common issues, and specific guidance for certain Wi-Fi adapters.

Overall, Mezz is a useful tool for safely inspecting and managing your IoT devices.

Summary of ksharp - K Version 3 Language Interpreter

Overview:
ksharp is an interpreter for the K programming language, version 3, developed in C#. It's designed for vector programming and is part of the APL family of languages.

Legal Terms:

• ksharp is copyrighted and licensed under the MIT License with Commons Clause. You can use, modify, and distribute it, but cannot sell it directly. Users are responsible for backing up data and ensuring data integrity.

Current Status:

• The project is in beta. Core features are fully implemented, including data types, operators, function systems, and I/O communication. Notable enhancements include a Foreign Function Interface (FFI) for .NET integration.

Implemented Features:

• Core Data Types: Supports integers, floats, character vectors, and dictionaries.
• Operators and Functions: Includes various native operators, conditionals, and a core function system.
• I/O Operations: Functions for reading and writing files in multiple formats.

Architecture:

• The project structure includes core components like the lexer, parser, and evaluator.

Building and Running:

• Requires .NET 8.0 SDK. Instructions for installation and running the interpreter on Windows, Linux (various distributions), and macOS are provided.

Recent Improvements:

• Improvements in command-line editing, recursion handling, and file I/O support. The test suite has a perfect pass rate.

Contributions:

• Contributions are welcome, and guidelines for reporting issues or submitting code are provided.

Important Notes:

• The project name "ksharp" is lowercase to differentiate it from similarly named projects.

Getting Started:
To try ksharp, clone the repository and run dotnet run in the command line.

No summary available.

Stephan and Thomas have open-sourced a tool called Semble, designed to improve code search in large codebases. They faced challenges with existing tools that either consumed too many tokens or provided poor search results. Semble addresses these issues by using a combination of static embeddings and a retrieval method called BM25, which works without needing complex models or GPUs.

Key features of Semble include:

• Token Efficiency: It uses 98% fewer tokens compared to traditional methods.
• Speed: Indexing a typical repository takes about 250 milliseconds, and each query takes around 1.5 milliseconds.
• Accuracy: It achieves 99% of the retrieval quality of larger models, with a notable accuracy score.
• Easy Integration: Semble can be easily added to existing systems without requiring API keys or external services.

For installation and more information, users can visit their GitHub page and access benchmarks and documentation. Feedback and questions are welcome.

C++26 introduces a new library called std::simd for writing portable SIMD (Single Instruction, Multiple Data) code, allowing developers to compile for various architectures without using complex preprocessor directives. However, a recent analysis highlights significant shortcomings of std::simd. It reportedly compiles ten times slower than traditional methods, runs slower than scalar loops, uses an incorrect default vector width, and fails to support crucial operations used in real-world SIMD applications.

The history of std::simd traces back to Matthias Kretz, who developed the Vc library for high-energy physics simulations. Despite its promising beginnings, std::simd has faced stiff competition from enhanced auto-vectorizers and other libraries that have emerged during its long standardization process. Libraries like Google Highway and SIMDe provide better performance and portability than std::simd, as they allow runtime CPU detection and support for various SIMD operations.

Despite improvements in libraries like EVE and xsimd, std::simd struggles with fundamental issues like compilation speed, optimizer integration, and support for important SIMD operations. It lacks features that are crucial for high-performance applications, such as cross-lane operations and proper handling of integer promotion.

In summary, while std::simd aims to simplify SIMD programming, it arrives too late and does not meet the needs of performance-driven applications. Developers are advised to continue using existing intrinsics or other libraries that better address their requirements for SIMD programming.

Summary of "Profunctor Equipment in Haskell"

In this post, Bartosz Milewski introduces a simplified implementation of profunctors in Haskell, aimed at helping programmers understand the concepts better. He emphasizes that this approach can be verified by the Haskell compiler, which he trusts more than AI.

Key points include:

1. Focus on Endo-Functors and Endo-Profunctors: The implementation is limited to a single category using only endo-functors and endo-profunctors for clarity.

2. Basic Constructs:

   • 0-cell: The Haskell category of types and functions.
   • Vertical 1-cells: Standard Functor implementation from the Haskell library.
   • Horizontal 1-cells: Implemented using Profunctor.

3. Natural Transformations: Defined as a type that allows transformation between functors.

4. Compositions:

   • Horizontal Composition: Uses a specific function to combine cells.
   • Vertical Composition: More complex, using profunctor composition and coends.

5. Unit Cells: Describes both horizontal and vertical unit cells, which are essential for profunctor composition.

6. Companion and Conjoint: Introduces concepts from the library, defining companion and conjoint types and their respective unit and counit cells.

7. Further Development: The post mentions that more advanced features would require internal categories and dependent types.

The author provides Haskell code for readers interested in implementation details.

Elon Musk has stated that Tesla's fully self-driving (FSD) technology, which operates without supervision, will be common across the U.S. by the end of this year.

Summary of Kyber and Job Role

About Kyber: Kyber helps companies in regulated industries create and manage complex regulatory documents efficiently. For instance, Branch Insurance can quickly generate and review claims notices by simply uploading claim details to Kyber, saving time and improving document quality. Kyber’s AI-driven platform allows organizations to reduce template use by 80%, cut drafting time by 65%, and speed up communication by 5 times. The company has seen significant growth, securing major contracts with top insurance firms and partnering with industry leaders.

Job Role: Kyber is looking for a Founding Marketer to lead their Content & Community efforts. Ideal candidates should be creative, experienced in using AI for marketing, and skilled in event production and content creation.

Key Responsibilities:

• Develop innovative content and community strategies.
• Create memorable experiences at events and conferences.
• Generate engaging content that encourages sharing among customers.
• Utilize AI to enhance productivity and focus on creativity.
• Improve ongoing marketing efforts and track their effectiveness.

Qualifications:

• Experience in marketing, content, and community building.
• Proficiency in using AI tools for scaling work.
• Strong event production skills and a knack for creativity.
• Ability to work efficiently in a fast-paced environment.

Values: Kyber values creativity, customer focus, quality work, high standards, and a positive team culture.

Benefits: The position offers a competitive salary, stock options, and comprehensive health insurance.

Why Join Kyber? Join Kyber to shape how businesses manage crucial documents using cutting-edge AI technology. If you’re passionate about building and innovation, they’d love to hear from you. To apply, candidates are encouraged to have a referral endorse them.

In a recent article, Steven Levy suggests that Apple's new CEO should create a groundbreaking AI product. However, Apple executive Greg Joswiak emphasized that Apple focuses on delivering great products and experiences, not on technology for its own sake. The concern is that AI could disrupt the iPhone ecosystem, but the author disagrees, believing that while AI will change things, it won't replace the iPhone.

The idea of an AI that anticipates users' needs, like automatically summoning a ride, seems unrealistic to the author. They argue that actual products and experiences will still rely on phones, as they are currently essential for communication and interaction with technology. The author believes that AI will be integrated into all devices rather than existing as a standalone product, much like how wireless technology is woven into all of Apple's devices today.

In summary, while AI is important, it won't replace the iPhone or the way people currently use technology. Instead, it will enhance existing devices and experiences.

No summary available.

Diamonds are valuable gemstones known for their beauty and strength, formed deep in the Earth under extreme pressure and heat. They originate from a type of rock called kimberlite, which rises to the surface during volcanic eruptions. Only a small fraction of kimberlite pipes contain gem-quality diamonds.

To extract diamonds, miners use advanced techniques like magnetic surveys and drilling to locate these pipes. Once a site is deemed promising, heavy machinery and explosives are used to mine the kimberlite, from which diamonds are extracted. The rough diamonds are then cleaned and sorted, with most being used for industrial purposes rather than jewelry.

The polished diamonds primarily come from Surat, India, known as the "Diamond City." Skilled artisans meticulously polish the rough diamonds, ensuring each one reaches its full potential. After polishing, independent labs grade the diamonds based on the 4Cs: Cut, Color, Clarity, and Carat. A unique identification number is inscribed on each diamond for authenticity verification.

Finally, the polished diamonds are traded in major markets like Mumbai, Antwerp, and Dubai before being set into jewelry for customers. This process transforms a rough diamond into a beautiful piece ready for sale.

Summary: Don't Outsource the Learning

The article warns against relying too much on AI for coding tasks at the expense of personal learning. While using AI can speed up the coding process, it often leads to a decline in understanding and skill over time. Studies show that engineers who lean on AI for quick fixes tend to score lower on comprehension tests compared to those who tackle problems manually.

AI tools are designed for efficiency, not education, which means they often overlook the learning process. Some companies have introduced features like "Learning Mode" to encourage users to engage more deeply, but these are not widely used in real work situations.

The article emphasizes that while it’s okay to use AI for repetitive tasks, true understanding is crucial, especially in situations where things go wrong or when tackling complex problems. Engineers must remain knowledgeable about the systems they work with.

To counteract cognitive decline, the author suggests several strategies:

1. Formulate a hypothesis before seeking AI help.
2. Request explanations before code.
3. Use Learning Mode when needed.
4. Critically review AI outputs as if they were from a junior engineer.
5. Occasionally recreate code by hand to reinforce learning.
6. Ask AI to explain its reasoning.

The author encourages engineers to balance shipping work and learning, suggesting that dedicating time to understand concepts will lead to greater long-term success. Ultimately, it's important to actively choose a workflow that fosters both productivity and learning.

A Vermont engineer has reintroduced pay phone service in remote areas of the state by using VoIP technology, which connects phone calls over the internet. This innovative approach combines modern internet capabilities with traditional pay phone functionality, making it easier for people in rural locations to make calls.

This text is a guide for purchasing used SGI (Silicon Graphics, Inc.) workstations. Here are the key points:

1. Types of SGI Workstations: The guide mentions various models including the SGI Indigo, Indigo², Indy, O2, Octane, and others, each suited for different needs and purposes.

2. Buying Tips:

   • Where to Buy: eBay is recommended for affordable SGI machines, but contacting resellers for specific configurations is also suggested.
   • Choosing the Right System:
     • Indigo: Good for collectors, not the best performance.
     • Indigo²: A solid entry-level system with various options.
     • Indy: An inexpensive starter system, but may be too slow for serious use.
     • Octane: The most powerful desktop option, ideal for development.
     • O2: A versatile machine good for graphics and video editing.

3. Performance Comparison: SGI's MIPS CPUs offer high performance for 3D graphics, often outperforming older Intel processors.

4. IRIX Operating System: Most used SGIs may not come with the IRIX CDs, and obtaining them can be costly. The license is tied to the machine.

5. General Advice: Buy the system that fits your needs, rather than an entry-level machine that may require costly upgrades. Ensure the seller can install IRIX if you don’t have the CDs.

This guide aims to help potential buyers make informed choices when purchasing used SGI workstations.

The author, a seasoned macOS/iOS developer, shares their frustrations with using native tools like SwiftUI and AppKit for building a chat application with Markdown support. They find that while SwiftUI performs well for simple tasks, it struggles with more complex features like text selection and streaming. Switching to NSTextView or lower-level TextKit offers some improvements, but leads to performance issues and increased complexity.

After attempting various native solutions, the author ultimately turns to Electron and is surprised by its effectiveness. They find that Electron handles text operations and Markdown rendering seamlessly, outperforming native options. This experience leads the author to conclude that for applications requiring rich text features, native Apple tools are often insufficient and can become limiting. They argue that many modern chat applications are web-based as a result, highlighting a shift in how developers approach these types of projects.

No summary available.

The text discusses a complex problem in computer science called "tree mapping," which is about fitting a general web-like structure into a hierarchical format, like a tree. This challenge is often overlooked but is prevalent in various fields.

Key Points:

1. Hard Problems in Computer Science: Traditionally, two hard problems are naming things and cache invalidation. The author introduces tree mapping as another difficult issue that lacks a straightforward solution.

2. Human Understanding of Space: Humans naturally navigate physical spaces, organizing things hierarchically. However, ideas and information often form complex webs that don't fit neatly into these hierarchies.

3. File Systems: Organizing digital files poses a dilemma: should files be sorted by type or by application? Different operating systems take different approaches, leading to trade-offs in usability and organization.

4. Writing: When writing, authors struggle to convert a web of ideas into a linear structure. The way ideas are presented can significantly shape the reader's understanding.

5. Architecture: The design of cities can be compared to tree mapping. Artificial cities tend to have a rigid structure, while natural cities allow for more interaction and fluidity among different areas.

6. Biological Taxonomy: Classifying living organisms often involves tree mapping, but traditional methods can be flawed. More modern approaches focus on common ancestry and genetics for a more accurate classification.

7. Conclusion: Tree mapping is a common issue across various domains, including database design and programming languages. The key to addressing it is to be intentional about how we organize information, questioning whether a tree structure is truly necessary.

The Justice Department has announced a $1.7 billion fund aimed at compensating allies of former President Trump who claim they were unfairly targeted by the Biden administration's Justice Department. This fund, referred to as the “Anti-Weaponization Fund,” is part of a settlement related to Trump's lawsuit against the IRS over leaked tax information. Critics, including Democrats and watchdog groups, have labeled the fund a "slush fund," arguing it unfairly benefits Trump's supporters and undermines ethical governance.

The fund will allow individuals who believe they faced political persecution to apply for payouts, with oversight by a five-member commission. Trump and his allies assert this initiative addresses grievances over alleged misuse of government power against them. However, many lawmakers are concerned that it creates a precedent for misusing taxpayer money for political rewards.

Trump's legal team filed this lawsuit after a leak of his tax returns, which they claim caused harm to his reputation. Despite the fund's creation, the Justice Department has faced scrutiny for its actions during both the Trump and Biden administrations, with allegations of politicization and bias in its investigations.

The U.S. Commodity Futures Trading Commission (CFTC) is actively monitoring prediction markets like Polymarket for insider trading, particularly as traders have recently exploited these platforms for suspicious bets on major geopolitical events. Despite Polymarket being offshore and unregulated in the U.S., the CFTC is using AI and automation to uncover illegal activities, analyzing trading patterns to identify potential manipulation.

CFTC Chairman Michael Selig highlighted the agency's commitment to pursuing insider trading cases, stating they are staffing up and employing various tools, including blockchain tracing and market abuse detection software. The CFTC is also prepared to extend its legal reach to enforce regulations on overseas platforms when necessary.

Recent scrutiny from lawmakers has intensified, with Congress urging investigations into potential insider trading related to military actions. The CFTC has received numerous tips and is investigating various cases, but so far, only one individual has been charged with insider trading linked to Polymarket.

As the agency continues its efforts, Selig assures that all wrongdoers will be pursued, regardless of the scale of their actions.

The editorial argues that the U.S. needs to build more housing to address the rising home prices and affordability crisis. In the past, home prices were much more in line with incomes, but since the 2000s, the ratio of median home prices to median income has skyrocketed, especially in coastal cities like San Francisco, where it is 12.4 times the median income.

The article highlights that a lack of supply due to restrictive zoning laws and slow construction has led to soaring home prices, which negatively impacts families' ability to buy homes and build wealth. Young people are particularly affected, often feeling discouraged and even leaving high-demand cities for affordable options elsewhere.

Austin, Texas, is presented as a successful example, where a significant increase in housing construction has kept prices more manageable. Over the past decade, Austin built 140 homes per 1,000 households, while cities like San Francisco and New York lagged behind.

To combat high housing costs, the editorial suggests two main changes:

1. Loosen zoning laws to allow for more multifamily housing, as many areas currently restrict building types to single-family homes.
2. Streamline the building process by reducing bureaucratic hurdles and simplifying permitting, which can significantly raise development costs and slow down construction.

Overall, the editorial emphasizes that building more homes is crucial for alleviating the housing crisis and making housing affordable for all Americans.

No summary available.

Summary of "The Four Horsemen of the LLM Apocalypse"

The author discusses the challenges posed by Large Language Models (LLMs), framing them as the "Four Horsemen of the Apocalypse": War, Famine, Death, and Pestilence.

1. War: The author highlights the struggle against bot armies that invade Git repositories, making it difficult to protect against automated attacks. Traditional methods of blocking bots are ineffective as they adapt and use more sophisticated techniques.

2. Famine: The massive demand for computing power due to LLMs has led to hardware shortages and skyrocketing prices for servers and storage. This is impacting everyday people and tightening job markets for engineers.

3. Death: The rise of LLMs has led to numerous security vulnerabilities in software projects. The lack of coordinated responses to these issues raises concerns about the future of copyright and software development, as LLMs often train on copyrighted material.

4. Pestilence: There's a growing belief that programming might become obsolete due to LLMs, which can generate code. However, the author expresses skepticism about the reliability of LLMs for maintaining software at scale, noting that they often produce misleading results.

The author introduces a fifth horseman, Conquest, representing how LLM companies are taking over cognitive tasks, reminiscent of other tech companies disrupting industries. They warn of a potential collapse similar to past tech bubbles.

Finally, the author warns about the loss of human translation skills due to LLMs, drawing a parallel to the Tower of Babel myth, and calls for action to resist the negative impacts of these technologies. They advocate for community building and a return to low-tech solutions.

Summary of Offline Agentic Coding Part 3: Apple Silicon vs. OpenRouter

Apple Silicon computers, like the M5 MacBook Pro, are more expensive to run than OpenRouter for similar AI tasks. The MacBook Pro uses about 50-100 watts of power, costing around $0.20 per kilowatt-hour, which results in low electricity costs. However, the hardware itself is pricey, with the MacBook Pro costing about $4,299. Depending on its lifespan (3, 5, or 10 years), the yearly and hourly costs vary, with 5 years being a reasonable estimate.

When it comes to processing tokens (units of AI output), the MacBook can generate between 10-40 tokens per second. This leads to costs of $1.61 to $4.79 per million tokens. In contrast, OpenRouter can process tokens at a significantly lower cost of about 38-50 cents per million tokens.

Overall, while the MacBook can perform well, it is generally slower than cloud options like OpenRouter, which can achieve higher token generation rates. For businesses, using cloud services often makes more financial sense than relying on local devices. Despite this, it's impressive that consumer devices can run advanced AI models close to high-performance levels.

The author questions the existence of high-quality, complex creations made through "vibecoding" despite widespread access to AI tools. They argue that while many people feel that AI makes creating easier, this feeling is not supported by evidence, as there are few substantial projects to show for it. The author believes that critics of vibecoding are often projecting their insecurities, as they base their value on basic coding skills (Level 1), which AI has now cheapened. They assert that true skill lies in higher levels of work (verifying and deciding), which AI does not impact.

The author expresses sympathy for those who feel threatened by AI, as their identities are tied to skills now made less valuable. They refuse to label others' work as vibecoded, recognizing the harm such accusations can cause and how they reflect the accuser's own insecurities. Ultimately, the author challenges the critics to provide proof of the threats they claim exist, highlighting a lack of substantial evidence for their accusations.

Summary of Mado

Mado is a fast Markdown linter written in Rust that supports CommonMark and GitHub Flavored Markdown (GFM). It is significantly faster than other linters, being approximately 49-60 times quicker than markdownlint.

Key Features:

• Usage: You can check Markdown files with commands like mado check . or mado check path/to/*.md.
• Performance: Benchmark tests show Mado is much faster compared to other linters.
• Installation: Mado can be installed on various platforms using package managers like Homebrew, Nix, Scoop, and WinGet, or by downloading pre-built binaries.
• Supported Rules: It supports most markdownlint rules, with varying levels of support (stable, unstable, or unsupported).
• Configuration: Mado can be configured using a mado.toml file, either locally or globally.
• Integration: It works with GitHub Actions for automated linting.
• Development and Testing: Mado includes scripts for running tests, benchmarking, and fuzz testing.

For detailed configuration and usage, refer to the documentation.

The article "Illusions of Understanding in the Sciences" discusses how scientists often believe they fully understand complex phenomena when, in reality, their understanding is often incomplete and flawed. It emphasizes that this overconfidence can lead to misleading explanations in scientific communication.

Key points include:

1. Illusion of Understanding: Scientists frequently think they understand more than they do, especially when using precise mathematical models or simulations that predict outcomes well. However, good predictions do not equate to true understanding of causality.

2. Levels of Understanding: The authors explore how understanding varies in depth and quality. Even seemingly simple concepts, like linear regression, can be misunderstood, leading to incorrect conclusions about causes.

3. Complexity in Simple Models: The article highlights that even basic statistical tools, such as linear regression, involve complex assumptions and interpretations that many scientists may overlook. Misunderstandings can lead to erroneous conclusions, such as mistaking correlation for causation.

4. Multiple Explanations: Scientific phenomena often have multiple, overlapping explanations, which can complicate understanding. The article illustrates this with examples like climate change and memory formation, where various factors might contribute to observed outcomes.

5. Implications for Scientific Practice: The authors argue that these illusions of understanding can affect experimental design, theory testing, and communication among scientists. They stress the importance of acknowledging the limitations of one's understanding to avoid misinterpretations and promote scientific progress.

In conclusion, the article serves as a reminder for scientists to remain cautious about their interpretations and to recognize the complexity and limitations inherent in their understanding of scientific phenomena.

Summary of Awesome CUDA Books

This guide provides a comprehensive list of significant books on CUDA programming, suitable for all skill levels and covering various aspects like C++/Python usage, architecture, and optimization. The focus is on practical resources for NVIDIA GPU parallel computing, including the latest releases from 2024 to 2026.

Key Categories:

1. Beginner / Getting Started:

   • "CUDA by Example" - A classic introduction with practical examples.
   • "Learn CUDA Programming" - Modern resources with examples and a GitHub repository.
   • "CUDA for Engineers" - Hands-on projects for engineers and non-CS individuals.

2. Core Architecture & Parallel Programming:

   • "Programming Massively Parallel Processors" - A definitive guide used in universities.

3. Practical & Hands-on Guides:

   • "Programming in Parallel with CUDA" - Real-world examples and modern C++.
   • "Professional CUDA C Programming" - Focused on production-level programming.
   • "CUDA for Deep Learning" - Hands-on optimization techniques for deep learning.

4. Advanced / Optimization / Reference:

   • "The CUDA Handbook" - In-depth reference on GPU programming.
   • "CUDA Programming: A Developer's Guide" - Best practices and optimization patterns.

5. Python & High-Level CUDA:

   • "Hands-On GPU Programming with Python and CUDA" - Best for Python users.

6. Modern & Recent Releases (2022–2026):

   • Highlights recent titles like "CUDA for Deep Learning" and specialized books on optimization and debugging.

Contribution and Recommendations:

The guide encourages contributions for new high-quality books and emphasizes pairing reading with the official CUDA C++ Programming Guide for the latest information.

For those interested in CUDA, this curated list is a valuable resource for learning and improving programming skills.

Summary of the Mercurial Talk at FOSDEM 2026

• Event: Talk on Mercurial, a version control system that has been active for 20 years.
• Date & Time: Saturday, 12:00 - 12:50 (UTC+1).
• Location: Main Track, Janson Room.

Key Points:

• Mercurial was created in 2005 and continues to develop despite losing popularity to Git in the 2010s.
• The talk will explore why many think Mercurial is "dead" and how it has remained relevant.
• Topics to be discussed include:
  • Mercurial's survival amid Git's dominance.
  • The unexpected impacts of Mercurial on users.
  • The influence of large companies on the project.
  • Reasons people still choose Mercurial in 2025.
• The speakers will reflect on Mercurial's history and its significance in the future of version control.

Speakers: Raphaël Gomès and Pierre-Yves David.

Additional Information:

• Video recordings and chat options are available for participants.

The author reflects on their journey from using Tailwind CSS to learning how to structure their own CSS code. Eight years ago, they found Tailwind helpful for organizing their CSS and building small projects. Recently, they've migrated some sites to use semantic HTML and vanilla CSS, which they found enjoyable and enlightening.

Key Points:

1. Learning from Tailwind: The author acknowledges that Tailwind taught them valuable CSS structuring concepts, including the importance of guidelines to avoid chaos in code.

2. CSS Structure Plan: They are organizing their CSS around several key areas:

   • Reset Styles: They copied Tailwind’s reset styles, noting their familiarity with them.
   • Components: They’re organizing CSS by components, with each having its own unique class and file, which prevents conflicts in styles.
   • Colors: They've established a color palette using CSS variables, ensuring all site colors are centralized.
   • Font Sizes: They created variables for font sizes similar to Tailwind, simplifying font management.
   • Utilities: Common styles, like buttons, are being categorized as utilities, some of which are borrowed from Tailwind.
   • Base Styles: Minimal base styles are applied site-wide to maintain clarity.
   • Spacing: They're working on a consistent approach to margins and padding.
   • Responsive Design: The author is exploring CSS grid for responsive layouts, moving away from Tailwind's media queries.
   • Build System: They’re using modern CSS features like imports and nested selectors without a complex build system, although they can use esbuild if needed.

3. Reasons for Migration: The author decided to move away from Tailwind because:

   • Tailwind now requires a build system, which they had not been using.
   • Their CSS skills have improved, allowing them to implement more complex designs.
   • They found Tailwind limiting for more advanced CSS needs and wanted to embrace semantic HTML.

4. Valuing CSS Expertise: They emphasize the importance of respecting CSS as a technology and developing expertise rather than relying solely on utilities like Tailwind.

5. Future Learning: The author expresses interest in learning more advanced CSS features that they haven’t utilized yet.

Overall, this transition marks a significant step in their web development journey, focusing on understanding and mastering CSS.

OpenClaw aims to be a trusted AI personal assistant that can manage files, run commands, and install plugins on a user's machine. While its capabilities raise security concerns, the team is implementing measures to ensure safe operations.

Key points include:

1. Filesystem Safety: OpenClaw uses a system called fs-safe to prevent unauthorized access to files by ensuring that plugins can only interact with designated areas of the filesystem. This helps in avoiding boundary-crossing bugs.

2. Network Security: With a feature called Proxyline, OpenClaw routes network traffic through a configured proxy to enforce security policies. This prevents unauthorized network requests that could lead to security vulnerabilities.

3. Plugin Trust: ClawHub, the plugin repository, is designed to assess and verify the trustworthiness of plugins before they are installed. It uses various checks, like scanning and source verification, to ensure safety.

4. Command Approvals: To reduce user fatigue from prompts, OpenClaw is working on smarter approval systems that evaluate commands more accurately, focusing on whether the user intended to execute them.

5. Static Analysis: The team is actively improving security by using tools like OpenGrep to detect and prevent similar bugs from reappearing in the code.

Overall, OpenClaw is committed to maintaining its powerful capabilities while enhancing its security and user trust.

Stephen Colbert has had a significant impact on television over the past 20 years, particularly through his concept of "truthiness," which he introduced on his first episode of The Colbert Report. This term refers to believing something because it feels true, regardless of the facts. Colbert's career includes over 3,000 episodes across two networks, culminating in his recent Late Show finale, which some speculate was influenced by his critical stance on President Trump.

Colbert's approach to comedy evolved from his early days as a Daily Show correspondent, where he developed a satirical character that parodied cable news pundits. He used humor to reflect societal issues, particularly in political contexts, and managed to maintain a strong connection with his audience throughout his career.

As he transitions from The Late Show, Colbert has plans to write a new Lord of the Rings movie. Some suggest he might also create a Broadway one-man show featuring his old character. Despite the cancellation of his show, Colbert's influence on late-night television and political satire remains notable, and there's speculation that his departure might benefit other hosts like Jimmy Kimmel. Overall, Colbert's legacy is marked by his ability to blend satire with sincerity while addressing pressing societal issues.

An Ebola outbreak has emerged in the Ituri province of the Democratic Republic of the Congo (DRC) and has spread to Uganda, with 65 reported deaths and 246 suspected cases. This outbreak is notable because it involves a different strain of the virus, likely the Bundibugyo strain, rather than the more common Zaire strain, complicating responses since existing vaccines are designed for the Zaire strain.

The outbreak is the 17th in DRC since Ebola was first identified in 1976 and ranks among the largest to date. The situation is complicated by factors such as urban population movement, militia activity, and challenges in contact tracing, raising concerns about further spread to neighboring countries like South Sudan.

Health authorities from the Africa CDC, the US CDC, and the World Health Organization (WHO) are coordinating efforts to control the outbreak. The WHO has allocated $500,000 to support immediate response efforts.

Summary of "Prolog Basics Explained with Pokémon"

The article discusses how the author used Prolog, a logic programming language, to better understand the mechanics of Pokémon battles. Here are the key points:

1. Pokémon Overview: Pokémon is a popular video game series where players catch and battle creatures called Pokémon, each with unique traits and abilities.

2. Battle Mechanics: In battles, teams of Pokémon use moves with specific types (like Fire or Water) that can be effective or not against opposing Pokémon based on type matchups. Understanding these mechanics can be complex due to numerous combinations.

3. Using Prolog: The author found Prolog effective for modeling Pokémon battles because it allows for concise representation of relationships and rules. For example, facts about Pokémon and their types can be easily queried.

4. Predicates in Prolog: The author illustrates how to create predicates (like pokemon/1 and type/2) to define Pokémon and their attributes. Queries can confirm if a Pokémon is of a certain type or find all Pokémon of a particular type.

5. Complex Queries: Prolog enables complex queries that would be cumbersome in SQL, such as finding all Pokémon that learn a specific move and have a certain attribute.

6. Game Mechanics Complexity: The author touches on various game mechanics, such as moves that can miss, raise or lower stats, and the effects of items and abilities.

7. Project Context: The author is working on a project that involves building software to manage these complex interactions in Pokémon battles, showcasing how Prolog's querying capabilities can help.

8. Comparison with Spreadsheets: The author notes that while spreadsheets are user-friendly and widely used for Pokémon data, Prolog provides a more flexible and powerful way to manage and query complex relationships.

9. Future Applications: The author expresses interest in developing web applications using Prolog to enhance Pokémon battle strategies and interactions.

Overall, the article illustrates how Prolog can simplify complex relationships and rules in a structured way, particularly in the context of a game like Pokémon.

Project Gutenberg is a free online library with over 75,000 eBooks, mainly focusing on older works that are no longer under U.S. copyright. You can easily download or read these eBooks online without any fees or registration. The library has been around since 1971, thanks to the efforts of many volunteers who digitize and proofread the books.

Key Features:

• Free Access: No costs or sign-ups needed.
• Wide Variety: Thousands of popular classic titles like "Pride and Prejudice" and "Moby Dick."
• Easy Navigation: Search by author, title, subject, or popularity.
• Additional Resources: Includes audiobooks and options for those interested in volunteering or donating.

Overall, Project Gutenberg is a valuable resource for anyone looking to access classic literature for free.

The Hindenburg, a zeppelin filled with highly flammable hydrogen, had a designated smoking room. This room was pressurized to prevent hydrogen from leaking in and had a double-door airlock for added safety. It was monitored by staff, and only one electric lighter was allowed, as matches and open flames were prohibited.

The smoking room was located on B Deck, the lowest part of the ship, where any leaked hydrogen would rise, making it less likely for hydrogen to reach that area. However, the main concern was the risk of fire; a small fire in the passenger area could have easily spread to the gas cells above, endangering the entire ship.

Despite the risks, the smoking room was very popular among passengers, partly because it also housed the Hindenburg's bar.

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On May 15, 2026, the author discusses the misconception that artificial intelligence (AI) will significantly speed up organizational processes, especially in software development. Many organizations are focused on optimizing processes, often driven by market challenges, and have high expectations of AI. However, the author argues that simply using AI or adding more personnel does not address the root causes of inefficiencies.

The author revisits classic process optimization books, "The Toyota Way" and "The Goal," realizing that many optimization efforts overlook important details. For instance, in software development, simply increasing the number of developers won't necessarily improve speed; understanding the problem and ensuring clear communication is crucial.

The author emphasizes that to truly enhance processes, organizations need to provide clear, detailed information and support to their teams. This involves addressing any upstream issues that cause delays, such as incomplete documentation or approval bottlenecks. The key takeaway is that effective process improvement requires thorough preparation and understanding, rather than relying solely on AI or additional staff.

Most Americans are anxious and distrustful about artificial intelligence (AI), according to two recent studies. While AI experts feel optimistic about the future of AI, the general public expresses concerns that the technology will take jobs away and lacks trust in how it is regulated by the government and private companies.

A survey from the Pew Research Center highlights this divide: about 75% of AI experts believe AI will benefit them, while only 25% of the public agrees. Many Americans feel they have little control over AI's role in their lives, and skepticism about government regulation is high.

Younger generations, particularly Gen Z, are using AI tools like ChatGPT but are also more anxious about their impact. Nearly half worry that AI will harm their critical thinking skills, and most feel their schools and workplaces lack clear AI policies. When institutions do establish clear rules, however, young people are more likely to trust and use AI effectively.

In summary, while AI technology is advancing, public trust is lagging, especially among those who will be most affected by it.

The "Roman Letters: Latin and Greek Correspondence, 100-800 AD" dataset contains 8,112 letters from the Roman world, translated into modern English, with original texts in Latin or Greek when available. It covers the period from 100 to 800 AD and includes geographic and social metadata.

Key points include:

• The collection features letters that illustrate communication in the Roman Empire, showcasing connections across regions and topics.
• It highlights how the letter-writing network changed over time, particularly during the fall of the Western Roman Empire.
• In the mid-4th century, the empire was well-connected, but by the 5th century, the network began to break down due to invasions and political changes.
• Notable figures like Augustine and Sidonius Apollinaris provide insight into the shifting dynamics of communication.
• After 604 AD, the letter-writing tradition in the West declined significantly, while the Eastern Roman Empire continued to thrive.
• The dataset includes first-time English translations of 3,123 letters and is available for public access under a Creative Commons license.

For further exploration, the dataset can be accessed at romanletters.org.

A recent investigation into a $35 Android projector revealed it was pre-installed with sophisticated malware. After connecting the projector to Wi-Fi, it began sending suspicious DNS queries without any user interaction, indicating it was "phoning home." The projector was found to be running Android 11 and contained several questionable apps with the "com.htc." namespace, even though it was not made by HTC.

Using tools like ADB and JADX, the user examined the device, disabled the suspicious apps, and discovered they were linked to a Remote Access Trojan (RAT) that communicated with several command and control (C2) servers. The malware was designed to collect device information and could download additional payloads, including a framework for further malicious activity.

The investigation revealed that the malware could survive factory resets, as it was integrated into the firmware, which contained scripts to disable security features like Google Play Protect. The projector was effectively turning its users into unwitting participants in a commercial proxy network, selling their IP addresses to third parties.

Key findings included:

• The malware's ability to persist through resets and evade detection.
• Its use of complex obfuscation techniques to hide its true functionality.
• The capability to download and execute additional malicious code dynamically.

The investigation raised concerns about the broader implications of similar devices sold in the market, suggesting that many low-cost electronics may also harbor hidden malware. Users were advised to disable the suspicious apps and block the associated C2 domains to protect their networks. The findings highlight the importance of scrutinizing the security of inexpensive tech products.

In 2019, the author created a voltmeter clock that uses analog voltmeters to show time instead of traditional clock faces. Inspired to improve the design, they documented the process of making a new version.

The new design features three panel voltmeters, which were disassembled and customized with printed decals. The hour gauge has 13 divisions to allow for continuous movement, unlike typical clocks that snap to the hour. To enhance the look, the author hid an unattractive plastic part of the meters and used CNC milling for precise cuts on a maple wood enclosure.

The side walls were curved by cutting notches to allow flexibility, and the pieces were glued together after drying. The circuit is simple, using an AVR128DB28 microcontroller to control the voltmeters without needing extra components. The code, which is straightforward and well-commented, synchronizes a timer to manage the clock's operations.

The finished clock looks good, and the author shares a video demonstrating its functionality.