Microsoft will no longer share revenue with its main AI partner, OpenAI. This change marks a significant shift in their partnership. For more details, you can visit the links provided.

On April 27, 2026, the Arena team of Magic: The Gathering announced the formation of their union, called United Wizards of the Coast - CWA. A majority of team members signed union cards to support this initiative. They have asked the company to recognize their union voluntarily. This step aims to improve working conditions and rights for the team. The workers are excited about this development and believe it is a significant moment not only for themselves but also for the gaming industry. They hope to engage positively with company leadership and work towards better treatment for all employees.

Easyduino: Open Source PCB Devboards for KiCad

Easyduino is a project that provides open-source designs for popular microcontroller development boards, such as Arduino, ESP32, Raspberry Pi Pico, and STM32 Bluepill, using KiCad software. The project aims to standardize various designs and practices in PCB development while adding USB-C support.

Key Features:

• Available Boards: Includes Easyduino UNO, Easyduino Nano, Easyduino ESP32, Easyduino ESP32 S3, Easyduino Pi Pico, and Easyduino Bluepill STM32F103.
• Design Consistency: Efforts were made to replicate the original designs, layouts, and components, although some components were substituted due to availability and cost.
• Project Structure: Each project includes main KiCad files, a detailed readme, custom libraries for components, and production files like BOMs and Gerber files.

Using the Project:

1. Install the latest version of KiCad.
2. Download the project files from GitHub and extract them.
3. Open the project using the .kicad_pro file in KiCad.

Contributing: Users can report issues or contribute by maintaining the style and conventions of the original designs.

Future Plans: The project aims to test new boards and explore additional microcontrollers to implement.

Licensing: The project is under the CERN Open Hardware License, allowing free use and modification, even for commercial purposes, with proper attribution.

China has blocked a foreign company's attempt to acquire the AI startup Manus. This decision is part of China's efforts to protect its technology sector and maintain control over important domestic innovations. The move reflects the country's cautious approach towards foreign investments in sensitive industries like artificial intelligence.

The text discusses the history and development of formalized mathematics, focusing on various proof assistants and languages used in the field, particularly Lean, AUTOMATH, LCF, Coq, HOL, and Isabelle.

Key points include:

1. Historical Context: The formalization of mathematics dates back nearly 60 years, with AUTOMATH being one of the first systems to lay the groundwork. Despite the emergence of modern tools like Lean, earlier systems contributed significantly to the field.

2. Lean's Popularity: Lean has gained a large following due to its user-friendly tools and extensive libraries. However, the author expresses concern over the community's conformity and the tendency to overlook past achievements in formal mathematics.

3. Previous Contributions: Notable predecessors, such as Boyer and Moore's work on computational logic and LCF's influence on proof assistants, established important concepts that are still relevant today.

4. Emergence of Lean Community: The Lean community focuses on sophisticated mathematical constructions and has moved away from the restrictive views associated with other systems.

5. Proof Systems: There is a discussion on the "propositions as types" concept, emphasizing that not all proof systems need to adhere to this principle. The author argues for the importance of diversity in approaches to proof verification.

6. Isabelle's Advantages: The author advocates for using Isabelle due to its superior automation, readability, and lack of dependent types, which can complicate proof checking.

7. Future Considerations: Lean has potential for improvement, especially in creating readable proofs, and the rise of AI is influencing how formal proofs are approached and simplified.

Overall, the text highlights the importance of recognizing historical contributions to formal mathematics while discussing the strengths and weaknesses of current systems like Lean and Isabelle.

Apple is planning significant networking changes in the upcoming macOS 27, which will affect enterprise users. Here are the key points:

1. Removal of AFP: Apple has been warning about the removal of the Apple Filing Protocol (AFP) since it transitioned to SMB as the primary file-sharing protocol in 2013. Users with older Time Capsules or NAS systems that don't support SMB3 will be impacted. If you don't upgrade to macOS 27, you can still use AFP, but upgrading an Apple silicon Mac without SMB3 support will be an issue.

2. TLS Requirements: Apple will require all connections to certain servers to use at least TLS 1.2 in future macOS versions. This includes servers for mobile device management, app distribution, and software updates. Affected users should audit their server connections to ensure compliance with the new security requirements.

3. Timeline for macOS 27: The developer beta is expected on June 8, 2026, the public beta around July 8, 2026, and the final release is likely in mid-September 2026.

Users should prepare for these changes, especially if they rely on older technology or specific server setups.

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Summary of SUPER ZSNES

SUPER ZSNES is a new SNES emulator created by the original developers of ZSNES. It has been completely rebuilt from scratch and features enhanced capabilities.

Key Features:

• More accurate CPU and audio.
• GPU-powered for high-resolution graphics and game-specific enhancements.
• Classic interface updated for better user experience.
• Includes features like fast forward, rewind, save states, and cheat codes.
• Uses traditional development methods without modern coding styles.
• The "Super Enhancement Engine" improves select games one by one.

Enhancements Include:

• High-resolution graphics with manual detailing.
• Improved backgrounds and audio.
• Options for widescreen and overclocking for smoother gameplay.
• Ability to disable enhancements as preferred.

Availability:

• Downloads available for Windows, Mac, Linux, and Android. iOS version coming soon.

Future Improvements:

• Bug fixes, special chip support, optimizations, and more enhancements are planned.

Important Notes:

• This is an early version with some bugs and missing features.
• Users must provide their own game ROMs; the developers do not supply them.

The SUPER ZSNES team is not affiliated with any companies related to the games or products mentioned.

In the early 20th century, a surge of interest in occult practices emerged in the U.S., fueled by advertisements in popular magazines offering mail-order courses in subjects like hypnotism and astrology. This wave was part of a broader transformation in spirituality, as people sought alternative personal development paths amid the rationalizing forces of modernity.

Sydney Flower was a key figure in this movement, creating a thriving mail-order business that sold courses on various mystical topics. His marketing strategies involved creating multiple fake companies to give the illusion of a large operation. Despite some fraudulent activities, many of these organizations genuinely aimed to provide spiritual and self-help resources to their followers.

One notable organization was the Ancient Mystical Order Rosae Crucis (AMORC), founded by Harvey Spencer Lewis, which blended mysticism with practical self-help. Other groups combined esoteric teachings with psychological concepts, offering therapeutic tools for personal growth.

Overall, these mail-order occult societies catered to a yearning for personal empowerment and spiritual understanding during a time of social change, offering lessons that helped individuals navigate the challenges of modern life. While many sought true spiritual experiences, they often received commodified versions of such practices instead.

Summary: The Quiet Resurgence of RF Engineering

In recent years, RF (Radio Frequency) engineering, once seen as a stagnant field, is experiencing a revival, particularly in the aerospace sector. The author, who initially pursued software engineering, found themselves drawn into RF engineering while working in aerospace. They observed a growing demand for RF engineers due to several factors:

1. Space Industry Boom: The number of spacecraft launched has dramatically increased from about 260 in 2015 to nearly 2,700 in 2024, primarily driven by commercial companies like SpaceX. Each spacecraft requires significant RF hardware.

2. 5G Technology: The shift to 5G has increased the need for RF components due to the greater complexity and number of components in 5G systems compared to previous generations.

3. Emerging 6G Research: Although still in early stages, 6G research is underway, presenting new RF challenges.

4. Other Industries: Automotive radar and the growth of IoT (Internet of Things) are contributing to the demand for RF expertise as more devices require wireless communication capabilities.

Despite this demand, there is a significant talent shortage in RF engineering. Many electrical engineering graduates are opting for software roles, leading to a gap in RF expertise. Companies are proactively seeking to address this shortage by investing in educational partnerships and new training programs.

Overall, RF engineering is poised for growth, driven by advancements in technology and a critical need for skilled professionals in various industries.

On April 4, 2026, an extortion group called Lapsus$ leaked a large dataset (4TB) containing voice samples from 40,000 AI contractors, combined with their government-issued identity documents. This breach is serious because it allows attackers to create synthetic voice clones that can be paired with real identification, leading to various forms of identity theft and fraud.

Key points include:

1. Nature of the Breach: The leak includes high-quality voice recordings and verified ID documents, making it possible for attackers to clone voices effectively. This is different from previous data leaks, as it combines both audio and identity information.

2. Potential Attack Methods: Attackers can use the stolen voice data to bypass bank verifications, impersonate employees to commit fraud, create deepfake video calls, commit insurance fraud, and scam family members using synthetic voices.

3. Protective Measures: Those who may have been affected should:

   • Audit their online voice presence and remove any recordings.
   • Establish a codeword with trusted contacts for verification.
   • Change their voiceprint settings with service providers.
   • Request banks to disable voiceprint verifications.
   • Use forensic tools to check suspicious audio samples.

4. Forensic Analysis: Experts analyze audio samples for signs of synthetic speech, such as breath patterns, audio codec mismatches, and other subtle inconsistencies that indicate a voice has been cloned rather than recorded naturally.

5. Support for Victims: ORAVYS offers free forensic checks for the first three audio samples submitted by those whose voices were part of the breach.

In summary, the Mercor data breach poses significant risks due to the combination of voice samples and identity documents, allowing for advanced identity theft techniques. Individuals are encouraged to take proactive steps to protect themselves.

Mario Rodriguez is the Chief Product Officer at GitHub, where he leads the product team. He is passionate about learning and creating tools for developers, with 20 years of experience in leadership roles at Microsoft and GitHub. Recently, he managed GitHub’s AI strategy and helped launch the Copilot product, which has reached millions of users. Outside of work, Mario enjoys spending time with his wife and two daughters and co-founded a charter school to improve education in rural areas of the U.S.

Scratch has faced ongoing SVG-related security vulnerabilities due to its method of handling user-generated SVG content. The platform parses this SVG content and risks exposing itself to attacks, such as Cross-Site Scripting (XSS) and data leaks.

Here's a simplified timeline of major issues:

1. 2019: An initial XSS vulnerability was found when SVGs could include <script> tags. This was fixed by removing such tags with a regular expression.

2. 2020: A flaw in the previous fix allowed attackers to bypass security by using different casing in <script> tags. This was addressed by implementing DOMPurify to sanitize SVGs.

3. 2022: An issue arose where attackers could log IP addresses through the use of the href property in <image> elements. This was fixed by blocking external URLs.

4. 2023: A CSS @import statement in SVGs was discovered to allow external requests. This was fixed by parsing and cleaning the CSS in SVGs.

5. 2024: XSS vulnerabilities were found in Paper.js, a library used by Scratch. This was partially fixed by extending sanitization to all SVGs processed.

6. 2025-2026: Multiple issues emerged, including more HTTP leaks via CSS url() and image-set(), and methods for attackers to restyle the entire Scratch page. These vulnerabilities were not fully resolved, indicating a pattern of recurring security problems.

The author argues that Scratch's complex sanitization approach is ineffective and unsustainable. As new CSS features are implemented, they could introduce even more vulnerabilities. An alternative solution proposed involves sandboxing SVGs in an iframe to isolate them and prevent potential attacks. This method has proven to be effective in avoiding the mentioned vulnerabilities.

The overall conclusion is that relying on complex sanitization methods is not viable, and the approach used by TurboWarp, which employs iframes, demonstrates a safer way to handle SVG content.

The author scored 65.2% on a benchmark test, outperforming Google's 47.8% and the closed-source model Junie CLI's 64.3%. They address concerns about cheating in the test, stating:

1. No cheating files were used.
2. The test was conducted fairly, without altering resources or time limits.
3. The test used the fully open-source version of their agent, identical to what is available on GitHub.

The author had hoped for their results to be posted on the leaderboard but has not received a response after eight days due to a backlog. They emphasize the importance of the testing setup based on their findings.

In a leadership meeting, Aleix Morgadas, an Engineering Manager, discovered that a new Customer Experience (CX) team had been created without his input. This decision was made to improve customer support metrics, but it led to communication issues and misunderstandings about roles.

The new CX team reported to a product leader instead of tribe leaders, causing flawed communication. The CX team struggled with tools needed to handle tickets effectively, relying too much on developers for support, which created delays and distractions.

To address these challenges, Aleix decided to develop internal dashboards for each team instead of relying on the new CX team's dashboard. This approach aimed to empower the CX team to resolve issues independently. Although the dashboards were created, they weren't initially adopted by the CX team, leading to continued reliance on product managers for ticket resolution.

To improve adoption, Aleix's team provided training and support, which resulted in the CX team successfully resolving most tickets on their own, significantly reducing ticket resolution times. However, the initial investment in the CX team and their dashboard was seen as a waste of resources, and the leadership team ultimately decided to disband the CX team after five months due to their lack of progress.

Overall, the situation highlighted the importance of clear communication, understanding team dynamics, and ensuring that solutions meet the needs of all involved.

Summary of pgBackRest Obsolescence Notice

pgBackRest, a PostgreSQL backup and restore tool, is no longer being maintained. The creator, after 13 years of dedication, has decided to stop working on the project due to lack of sponsorship and job opportunities. Anyone who forks the project must choose a new name.

Key Features of pgBackRest:

• Parallel Backup & Restore: Speeds up processes using multiple threads.
• Local or Remote Operation: Can back up securely with minimal setup.
• Multiple Repositories: Allows different storage strategies for quick access and redundancy.
• Backup Types: Supports full, differential, and incremental backups.
• Backup Integrity: Ensures data integrity through checksums and validation.
• Resume Capability: Interrupted backups can be resumed without starting over.
• Streaming Compression: Compresses data during transfer to save resources.
• Delta Restore: Speeds up restores by only replacing changed files.
• WAL Processing: Efficiently manages Write-Ahead Logging (WAL) for high-traffic databases.
• Compatibility: Works with various PostgreSQL versions and cloud storage solutions.

Getting Started: pgBackRest aims for easy configuration with user guides and command references available.

Sponsorship: The project has relied on sponsors for support, including current sponsor Supabase and past sponsors like Crunchy Data.

In summary, pgBackRest is being phased out, but its features have made it a reliable tool for PostgreSQL backups.

Summary:

The new Decoupled DiLoCo (Distributed Low-Communication) architecture improves AI training by allowing large language models (LLMs) to be trained across different data centers with less dependence on synchronized hardware. Traditional methods require all chips to work together closely, which is challenging as model sizes grow. In contrast, Decoupled DiLoCo splits training into separate "islands" of computation, where disruptions in one area do not halt progress in others.

This approach not only reduces communication needs between data centers but also enhances fault tolerance. During tests, the system continued training despite hardware failures and reintegrated units when they became available again. It proved to be significantly faster than conventional methods, achieving results with 12 billion parameter models across multiple U.S. regions using standard internet connectivity.

Decoupled DiLoCo also allows mixing different generations of hardware within the same training process, maximizing resource efficiency and extending the life of older technology. Overall, this innovative method offers a more resilient and efficient way to train advanced AI models.

The text discusses a method to improve focus and productivity by avoiding screens and using a simple technique: staring at a wall for a few minutes when feeling mentally drained. The author highlights the overwhelming amount of information people consume daily—estimated at about 87 GB today—which contributes to mental fatigue and lack of focus.

The author shares personal experiences of struggling with focus, often resorting to caffeine and media for temporary relief, which creates a cycle of "brain fog." They discovered that staring at a wall helps reset their focus. This technique, combined with relaxing the mind and using peripheral vision, has proven effective, although challenging.

The author reports feeling more focused and productive since implementing this routine and plans to continue it, sharing more strategies in future posts.

DSPi Firmware Summary

The DSPi firmware turns a Raspberry Pi Pico or similar RP2040-based board into an affordable digital audio processor. It functions as a USB sound card with a built-in DSP engine that supports features like room correction, equalization, and headphone crossfeed.

Key Features:

• USB Audio Interface: Works with macOS, Windows, Linux, and iOS, supporting various sample rates and bit depths.
• Output Options: Multiple output configurations including S/PDIF and I2S, with independent channel control.
• DSP Features: Includes matrix mixing, parametric equalization, loudness compensation, and more.
• User Presets: Store and manage up to 10 audio configurations.
• Diagnostics: Monitor audio metrics and performance.

Hardware Setup:

• Flash the firmware onto the board via USB.
• Connect output pins according to the needs of your project.

Platforms:

• RP2040: Supports up to 7 audio channels, with basic DSP capabilities.
• RP2350: Enhanced processing with up to 11 channels and advanced DSP features.

DSP Processing Flow:

1. Input audio processing through a preamp.
2. Apply equalization and optional volume leveling.
3. Route audio through a matrix mixer to various outputs.
4. Final adjustments and output to selected formats.

Development:

• Customizable pin assignments and runtime configurations.
• Supports firmware updates via USB.

This project aims to provide a versatile and cost-effective solution for digital audio processing, suitable for hobbyists and developers alike. For support or updates, users can join the official Discord server.

No summary available.

No summary available.

The text discusses a project involving flip discs (or flip dots), a display technology that uses electromagnetic pulses to change the color of small discs. This technology, though over 80 years old, is still appealing for certain applications due to its readability, longevity, and soothing sound effects. The author created a large interactive display for their office, preferring flip discs over traditional LED screens.

Key Points:

1. Project Overview: The project aims to build an interactive wall art display using flip discs, which are known for their unique appearance and sound.

2. Construction Details:

   • Panels: The display consists of 9 Alfazeta panels arranged in a 3x3 grid.
   • Power Requirements: The setup requires a 24V power supply to operate.
   • Frame: Built with aluminum extrusions, the frame holds the fragile flip discs securely.
   • Wiring: The panels are connected using RS485 communication for efficient data transfer.

3. Software Development:

   • Utilizes machine learning for processing inputs like voice and video.
   • The display is controlled via a Node.js library, allowing for real-time visualizations and user interactions.
   • An app was developed for controlling display features, such as pausing and drawing on the screen.

4. Design Choices:

   • Focused on simplicity and creativity due to the limited pixel space of the flip discs.
   • Uses bitmap fonts and dithering techniques for effective image rendering.

5. Future Aspirations: The author hopes to develop an AI interface with the display and encourages collaboration on making flip disc technology more accessible for hobbyists.

6. Conclusion: The author enjoyed working on the project and is open to discussions about building affordable flip disc hardware.

Overall, the text reflects a creative exploration of an old technology in modern applications, emphasizing both technical and artistic aspects.

The standard GPU utilization metrics from tools like nvidia-smi and others can be misleading because they only show if a GPU is running any tasks, not how much of its actual capacity is being used. This can lead to false impressions of GPU usage—showing 100% utilization while the real compute capacity is only around 1-10%. This can cause issues in planning and optimizing resources.

To address this, an open-source tool called Utilyze is being released. It measures GPU utilization by sampling hardware performance counters and provides a more accurate view of compute and memory usage compared to the hardware's limits. It also estimates the maximum potential utilization for specific workloads.

You can find the tool on GitHub: Utilyze GitHub link. Feedback is welcome!

Summary: X-ray Flashes from a Supermassive Black Hole

Astronomers have been studying a supermassive black hole named 1ES 1927+654, which is located 270 million light-years away and is about a million times the mass of the Sun. In 2018, they observed a unique event when the black hole's corona, a cloud of hot plasma surrounding it, suddenly disappeared and then reformed several months later. This event was unprecedented in the field of black hole astronomy, drawing significant attention from researchers.

I'm unable to access external links, but I can help summarize the content if you provide the text or main points from the article. Please share the information you'd like summarized!

Älgar har i tusentals år vandrat samma vägar för att nå sommarens grönskande betesmarker. I år kan vi följa deras vandring i den åttonde säsongen av programmet, som sänds på SVT Play.

The text discusses the TP-Link TL-SG108, an 8-port unmanaged Gigabit Ethernet switch, and details how it can be converted into a managed switch. Here are the key points:

1. Switch Overview: The TL-SG108 is a basic, affordable switch using the Realtek RTL8370N chip, which is common in low-cost switches. It lacks advanced features like VLAN tagging.

2. Chip Details: The RTL8370N includes a microcontroller for web management, but the TL-SG108 does not support this due to hardware limitations.

3. Upgrading the Switch: To turn the TL-SG108 into a managed switch, the flash memory needs to be upgraded from 4Mbit to 32Mbit, allowing it to support VLAN management. This involves changing the MAC address to avoid conflicts on the network.

4. Challenges: The process has downsides, such as the cost of components being only slightly less than buying a managed switch outright, and potential functionality issues, like non-working LED indicators.

5. Recommendation: It’s suggested to buy used managed switches instead of upgrading the TL-SG108 due to the low cost and better functionality of available models.

6. Comparison with Other Switches: The Araknis Networks AN-110 switch also uses the RTL8370N chip but lacks VLAN management features. Attempts to flash it with compatible firmware were unsuccessful.

7. Company Background: The text mentions a corporate restructuring of TP-Link in 2024, which affected the design and branding of its products.

In summary, while upgrading the TL-SG108 is possible, it might be more practical to purchase a used managed switch instead.

Summary of Tendril

Tendril is an autonomous agent that can discover, create, and reuse tools across different sessions. It uses the AWS Strands Agents SDK and Tauri to operate.

Key Features:

• Self-Extending: When you ask Tendril to perform a task, it first checks if it has a suitable tool. If not, it creates one on its own and saves it for future use.
• Example Interaction:
  • You request to fetch top stories from Hacker News. If the tool isn’t available, Tendril builds it, executes it, and returns the results.
  • For repeated tasks, it can simply use the pre-built tool without needing to recreate it.
• Learning Over Time: The more you use Tendril, the smarter it gets, as it builds a growing registry of capabilities.

Architecture:

• Tendril runs on a structured framework with three main tools for managing capabilities, registering new tools, and executing code.
• It operates within a Tauri app, which provides a desktop interface.

Technology Stack:

• Frontend: React with TailwindCSS
• Backend: TypeScript (Node.js)
• Inference Model: AWS Bedrock (Claude)
• Code Execution: Deno for sandboxing

Setup:

• To start using Tendril, clone the repository, install dependencies, and configure settings for your AWS profile and workspace.

Capabilities Management:

• All capabilities are stored as files, which can be edited or deleted. Each capability has a name, description, triggers for activation, and conditions for when it shouldn’t be triggered.

Overall, Tendril is designed to be an intelligent tool that simplifies tasks by learning and adapting as it is used.

The author created a spreadsheet tool that feels familiar to users of Vim due to its keybindings and navigation methods. It allows for importing and exporting CSV and TSV files, and it features a .cell format that keeps formulas intact. The tool can perform basic calculations like SUM and AVERAGE. The code is organized as a Cargo workspace, with a core library and a user interface built on another library. It's still in early development but is functional. Users can try it out by running a specific command, and feedback is welcomed.

No summary available.

Summary of TurboQuant: A First-Principles Walkthrough

TurboQuant is a method that compresses AI vectors to 2–4 bits per number without sacrificing accuracy. It is designed for modern language models that use high-dimensional vectors for tasks such as storing key-value caches and embeddings.

Key Features:

• Vector Compression: TurboQuant compresses each coordinate of high-dimensional vectors while maintaining nearly optimal accuracy.
• No Additional Memory: It does not require extra memory for scale factors or calibration, simplifying the process.
• Random Rotation: It leverages a random rotation of vectors to ensure that each coordinate follows a known distribution, allowing the use of a fixed codebook for compression.
• No Calibration Needed: The same construction can be used for various inputs without needing to adjust for each type.

Key Concepts:

1. Vector: An ordered list of numbers that can be visualized as arrows in space.
2. Mean Squared Error (MSE): A measure of the average squared difference between estimated values and actual values.
3. Unbiased Estimator: An estimator that correctly predicts the average value of a parameter across multiple trials.
4. Rotation: A mathematical operation that changes the orientation of a vector without altering its length or the angles between vectors.
5. Central Limit Theorem (CLT): States that the sum of many independent random variables tends to be normally distributed.
6. Quantization: The process of mapping a continuous range of values to a finite range of discrete values.

Process Overview:

1. Rotate the Input Vectors: Each vector is rotated randomly to spread its coordinates, making them more uniform.
2. Quantize: After rotation, each coordinate is rounded to the nearest value in a predefined codebook.
3. Store and Decode: The quantized values are stored efficiently, and reconstruction involves simple lookup and inverse rotation.

Performance:

• TurboQuant achieves a significant reduction in storage requirements (up to 4–6 times) while maintaining the quality of reconstructed vectors.
• It is faster than traditional methods, taking mere milliseconds for indexing compared to seconds or minutes for other techniques.

Conclusion:

TurboQuant is an innovative approach to vector quantization that uses random rotations and a universal codebook for efficient, accurate storage of high-dimensional data. Its design allows for quick and effective processing without the need for complex calibration or additional metadata, making it highly suitable for AI applications.

The author shares their experience of replacing excessive phone screen time with a printed "front page" of news and updates using a dot matrix printer and a Raspberry Pi. They built a project to print daily information like weather, stocks, major news headlines, and top Reddit posts.

Key points include:

• Motivation: The author wanted to reduce screen time while still staying informed.
• Equipment: They bought a Star NP-10 dot matrix printer and a Raspberry Pi Zero W, along with a USB adapter and power supply.
• Setup: The printer was connected to the Raspberry Pi, which accessed the printer through a specific file path.
• Coding: The author wrote a PHP script to fetch data from free APIs for weather, stocks, news, and Reddit posts. They formatted the output to suit the printer's capabilities.
• Printing: The script organizes the data into sections and formats it for clear printing. They implemented a function to ensure text doesn't get cut off at the end of lines.
• Automation: A cron job was set up to run the script every morning at 8 AM, allowing the author to enjoy a printed summary with their coffee.

Overall, the project was enjoyable and helped the author reconnect with physical hardware and programming. They invite others to share project ideas or comments.

The text discusses the Prompt API, a feature in Chrome that allows developers to integrate AI capabilities into web applications using the Gemini Nano model. Key points include:

1. Functionality: The Prompt API enables various applications, such as AI-powered search, personalized news feeds, and automatic calendar event creation.

2. Requirements: To use the Prompt API, developers need to meet specific system requirements, including an operating system (Windows 10/11, macOS 13+, Linux, or ChromeOS) and sufficient storage space (at least 22GB free).

3. Usage: The API supports natural language requests and can handle multimodal inputs (text, audio, images). Developers can create sessions, manage context, and customize responses based on parameters.

4. Session Management: Sessions track conversation context and can be cloned or terminated as needed. There are methods to append additional prompts and handle input/output requirements.

5. Best Practices: Developers should follow guidelines for session management and explore demos to understand the API's capabilities.

6. Feedback: The text encourages user feedback to improve the API and invites participation in its early preview program.

Overall, the Prompt API provides a robust framework for integrating AI features into web extensions while outlining necessary requirements and best practices for developers.

The Dutch central bank, De Nederlandsche Bank (DNB), is set to sign a significant contract with Schwarz Digits, a subsidiary of Lidl's parent company, to use its cloud services. This decision comes as DNB aims to decrease its reliance on American cloud providers and promote European alternatives. Although the DNB recognizes that European cloud services may not yet match the quality of American ones, it believes this move is necessary due to concerns about dependency on foreign IT services, especially amid geopolitical tensions.

Schwarz Digits offers the Stackit cloud platform, which adheres to European law, ensuring data privacy differently from American companies that are subject to the U.S. Cloud Act. Major organizations, including Lidl and Deutsche Bahn, already use this platform. DNB acknowledges that it has previously relied heavily on American services but is now prioritizing geopolitical risks in its transition to cloud services.

No summary available.

Prime Minister Mark Carney has announced the creation of Canada's first sovereign wealth fund, called the "Canada Strong Fund," with an initial investment of $25 billion. This fund is intended to finance major national projects in areas like clean energy, agriculture, and infrastructure.

Canadians will be able to invest in the fund alongside private and international partners, allowing them to share in the nation's wealth. The fund will be managed by an independent Crown corporation and aims to grow wealth for future generations through reinvestment.

Carney emphasized that the fund will involve Indigenous peoples as partners and create high-paying union jobs. The government plans to speed up the approval process for major projects through new legislation, reducing approval times significantly.

However, Conservative Leader Pierre Poilievre criticized the plan, arguing that it relies on borrowing money and questioning the need for government funding if projects are viable. Overall, the Canada Strong Fund is positioned as a way to enhance national prosperity while engaging the public in investment opportunities.

The text describes a project that analyzed Amazon reviews using a powerful computing setup to uncover the most extreme and profanity-laden feedback. Here are the key points:

• Data Analysis: 275 GB of Amazon reviews were processed across 34 categories, using a Burla cluster with 1,000 workers.
• Unhinged Mode: This mode reveals raw, explicit reviews, including profanity and slurs, with a warning for sensitive content.
• Findings: The analysis identified nine distinct ways reviews express extreme emotions.
• Methodology: The process involved splitting the data, analyzing it for various signals of intensity (like profanity and ranting), and merging results to create a comprehensive database of the most extreme reviews.
• Scoring System: Reviews were scored based on different criteria, such as profanity level and emotional intensity.
• Open Source: The project’s code is available on GitHub, allowing others to replicate the analysis.

Overall, the project aimed to highlight the most intense Amazon reviews, providing insights into customer frustrations and emotions.

No summary available.

Summary: Running Local LLMs Offline on a Ten-Hour Flight

On a ten-hour flight from London to Las Vegas, the author tested the capabilities of a MacBook Pro while working with local LLMs (Large Language Models) without internet access. The setup included a powerful MacBook Pro with advanced hardware and various programming tools.

Key Activities:

• Built a billing analytics tool to analyze cloud spending for the past two years, uncovering insights that standard dashboards missed.
• Processed around 4 million tokens for various smaller tasks like refactoring and documentation, achieving results similar to high-end models.

Challenges Faced:

1. Power Consumption: The MacBook drained battery rapidly, even while plugged in.
2. Heat Issues: The device became uncomfortable to use due to overheating.
3. Context Limits: Performance decreased significantly after processing 100,000 tokens.
4. Infinite Loops: Certain prompts caused the model to loop endlessly, requiring manual intervention.

Tools Developed:

• PowerMonitor: A tool to monitor battery and power usage.
• lmstats: A tool to track LLM performance metrics.

Insights Gained:

• Local model usage helps users understand the costs of inference better, influencing how they use cloud resources.
• The author discovered that using different cables significantly affected power delivery during the flight.

Conclusions:

• Local inference is useful for specific engineering tasks but large and complex tasks are better suited for cloud solutions.
• The experience encourages better management of resources and costs in both local and cloud environments.

Next Steps:

• Conduct further tests on a return flight with a better cable and explore the efficiency of smaller LLMs powered by the Neural Engine.

Before starting any project, the author follows three key constraints to enhance creativity and avoid complexity:

1. One Page Rule: All ideas must be summarized in a one-page document. This keeps the project focused, clear, and concise. If the idea cannot fit on one page, it may be too complex or not ready for development. The one-pager serves as a guiding document for communication and decision-making.

2. Separable Core Technology: Projects should have a core piece of technology that can stand alone from the product itself. This helps to focus on reusable technology that can evolve independently of the product's direction, ensuring long-term value and flexibility.

3. Defining Product Constraint: A clear, defining constraint must shape the product, giving it a unique identity and preventing unnecessary features. This constraint should be central to the user experience and help narrow down decisions to what truly matters.

The author concludes that if an idea fails to meet any of these constraints, it should not be pursued.

Emily Ko and Zoe Lee, students at NYU School of Law's Technology Law and Policy Clinic, wrote about the issue of excessive sealing of court records, especially in patent cases. They highlight a case, Wilus Institute of Standards and Technology Inc. v. HP Inc., in the Eastern District of Texas, where important filings about Wi-Fi technology were completely hidden from the public. This lack of transparency affects the public's understanding of patent ownership and licensing obligations for technologies used widely.

In this case, Wilus claimed ownership of patents related to Wi-Fi 6 and sued HP and Samsung for infringement. HP contended that Wilus did not offer licenses on fair terms, which is essential for patent holders. The Electronic Frontier Foundation (EFF) discovered that many court documents were sealed without proper justification, violating the presumption of public access to court records.

EFF raised concerns about this sealing, and Wilus eventually agreed to release redacted versions of some documents. However, significant portions of the arguments remain hidden, demonstrating a broader issue of transparency in patent litigation.

The article emphasizes that sealing records should be rare and well-justified, as open courts are vital to democracy. Courts should enforce strict standards for sealing documents, requiring specific reasons for each requested redaction. The Eastern District of Texas is criticized for allowing broad sealing practices that undermine public access to important information.

In contrast, other federal courts, like the Northern District of California, uphold stricter standards for transparency. The overall message is that courts must prioritize public access to records to maintain accountability and transparency in legal proceedings, particularly those involving powerful entities and critical technologies. EFF continues to advocate for these principles.

The text discusses the important distinction between relying too much on artificial intelligence (A.I.) and using it to enhance our thinking. It emphasizes that A.I. should help us improve our skills and problem-solving abilities rather than take over our tasks completely. The key point is to use A.I. as a tool for better decision-making and creativity, rather than allowing it to render our own contributions unimportant.

Summary of "A Guide to CubeSat Mission and Bus Design" by Frances Zhu

This book is a comprehensive guide for designing CubeSat missions and buses. It covers various aspects of CubeSat development, including:

1. Introduction to CubeSats: The book discusses the history and significance of CubeSats, outlining key players and their applications.

2. Systems Engineering: It emphasizes the importance of systems engineering in CubeSat programs, detailing phases, requirements, and project management tools.

3. Spacecraft Design: The design process is explored, focusing on mission components, payload design, and the effects of the space environment.

4. Subsystems: The book breaks down several critical subsystems, including:

   • Structures and mechanisms
   • Power systems
   • Communications
   • Thermal control
   • Attitude determination and control
   • Command and data handling
   • Software

5. Integration and Ethics: It explains the system integration process and discusses ethical considerations in CubeSat missions.

The book includes practical labs and tools to assist in the design process, making it a useful resource for students and professionals in aerospace engineering. It is available in various digital formats and is licensed under Creative Commons.

Canva recently faced criticism after its AI tool, called Magic Layers, mistakenly replaced the word "Palestine" with "Ukraine" in user designs. This issue was highlighted by a user on social media who noticed the change in the phrase "cats for Palestine." Canva stated that they were not aware of the problem initially but quickly investigated and fixed it. They expressed regret for any distress caused and committed to implementing further checks to prevent similar issues in the future. While some users reported being able to replicate the bug, others did not experience any alterations. This incident is seen as a significant mistake for Canva, which is trying to compete with Adobe's design tools.

The article discusses the idea that it's perfectly fine to abandon side-projects. Many developers often start side-projects hoping they will turn into successful ventures, but not all projects succeed. The author shares their experience with a side-project aimed at learning the Latvian language, which they ultimately abandoned because it became clear they no longer needed it after building it.

The key points include:

1. Abandoning Projects is Normal: Many developers feel pressured to constantly ship new projects, but it’s okay to leave some behind.

2. Learning Experience: Even when a project doesn’t get completed or used, the process of building it can be valuable. The author realized they had learned the necessary language rules while coding.

3. Shift in Perspective: Instead of viewing abandoned projects as failures, they can be seen as valuable learning experiences.

4. Advice for Beginners: Developers should focus on creating projects for personal growth and fun, rather than for external validation. If a project causes stress, it’s okay to let it go.

Overall, the article emphasizes that the journey of building is often more important than the final product.

Summary of Static Electricity Resources

This text provides a collection of resources related to static electricity, including demonstrations, projects, and educational materials. Here are the key points:

• Static Electricity Projects: The text lists various projects and demonstrations, such as simple high voltage generators, electrostatic motors, and activities for students like crawling slime and indoor lightning experiments.

• Educational Resources: It references websites and forums focused on electrostatics, including the Electrostatics Society of America and resources for science fair projects.

• Links to Materials: The document includes links to articles, glossaries, and catalogs for books on electrostatics, as well as organizations involved in the field.

• Equipment and Companies: It mentions companies that provide electrostatic devices and educational tools, such as voltmeters and electrostatic machines.

Overall, the text serves as a guide for those interested in exploring static electricity through experiments, demonstrations, and educational resources.

Branimir Lambov, a Cassandra committer at IBM, shared insights about his work and projects in an interview. With a PhD and over a decade of experience in Cassandra, he contributed significantly to the database's development. One of his notable projects involved replacing the Skiplist in the Log-Structured Merge Tree with a Trie to enhance memory usage and storage efficiency, featured in Cassandra 5 released in 2024.

Initially uninterested in databases, Branimir became passionate after learning about real-world problems during a recruitment conversation. He worked on various projects, including improving token allocation and modernizing compaction strategies, which resulted in a Unified Compaction Strategy for Cassandra.

His Trie project began nearly a decade ago, focusing on optimizing performance by leveraging byte order in key comparisons. This led to the development of the trie-indexed bigtable format and the trie memtable, both of which have been successfully implemented in DataStax products and later contributed to Apache Cassandra.

Branimir also discussed challenges in software development, sharing an experience where a code change led to data loss due to an unnoticed issue. He emphasized the importance of careful coding practices.

Regarding programming languages, he expressed mixed feelings about Java but acknowledged the potential of its latest features. He prefers IntelliJ as his development environment and is excited about the upcoming Accord feature, which will introduce ACID transactions to Cassandra.

Overall, Branimir’s experiences highlight the evolution of Cassandra and the importance of innovation and careful development in software engineering.

Summary: Box to Save Memory

This article discusses how to reduce memory usage in a Rust program by optimizing struct layouts and JSON deserialization. The author saved 475 MB out of 895 MB by making changes to how data is structured.

Key Points:

1. Memory Savings: By altering the layout of structs and using optional types, the program's memory footprint was significantly reduced.

2. Use Case: The program processes JSON files from AWS SDK for Rust, converting them into "Smithy Shape" structs. Initially, these structures consumed a lot of memory, primarily due to many optional fields being unused.

3. Rust Structs and Memory:

   • In Rust, certain types (like String) consume more memory than necessary when many fields are optional.
   • Using Option<Struct> does not reduce memory usage if the struct is large.

4. Optimization Technique:

   • The author switched from using standard structs to Option<Box<Struct> to save memory when the struct fields are empty.
   • This change allows the program to use less memory when optional fields are not set.

5. Implementation:

   • A custom deserializer was created to ignore empty structs, thereby not allocating memory unnecessarily.
   • The adjustments made to the code involved changing how certain fields were defined and deserialized.

6. Verification:

   • The author used a special allocator to measure memory usage before and after changes to ensure that the optimizations were effective.

7. Conclusion:

   • Developers should recognize that composite structs can use a lot of memory.
   • Making fields optional and using heap allocation (Boxing) can lead to significant memory savings, especially when deserializing data.

Overall, the techniques discussed are valuable for Rust developers looking to optimize memory usage in their applications.

Sebastian Sawe has broken the 2-hour barrier in the marathon during the 2026 London Marathon. He achieved this remarkable feat alongside fellow Adidas athlete Yomif Kejelcha. Their accomplishment marks a significant milestone in marathon running, showcasing their exceptional talent and training.

Self-Updating Screenshots Summary

James Adam created a feature for the Jelly help center that automatically updates screenshots of the web application's interface. This feature solves the common issue of outdated screenshots in documentation after UI changes.

Key Points:

• Problem: Maintaining accurate screenshots is tedious, as any UI change can make them outdated.
• Solution: The help center captures screenshots automatically from the live application whenever it's rebuilt, eliminating the need for manual updates.
• How It Works:
  • The help articles are written in Markdown with special comments directing the screenshot system.
  • A Rake task uses a headless Chrome browser to capture images based on these comments.
  • Various capture modes are available, including specific elements, full pages, or visible portions of the page.
• Advantages:
  • Easily captures complex UI states (like pop-ups) with a single command.
  • Keeps documentation in sync with the application, making updates easier.
• Outcome: The process is efficient, allowing for frequent updates to the help center without the hassle of manual screenshot management. Adam regrets not implementing this feature sooner due to its significant benefits.

Summary of "FreeBSD Device Drivers: From First Steps to Kernel Mastery"

This book is a free, open-source guide designed to teach readers how to write, debug, and submit device drivers for FreeBSD, starting from no prior knowledge. It consists of 38 chapters and 6 appendices, along with practical labs that work on FreeBSD 14.x.

Key Features:

• Beginner-Friendly: It starts with basics like UNIX and C programming before diving into kernel development.
• Hands-On Learning: About half of the study time is dedicated to labs that reinforce concepts through practice.
• Progressive Learning: Readers build a single driver throughout the book, gradually adding features like synchronization and hardware access.
• Comprehensive Coverage: It addresses everything from basic driver creation to advanced topics like debugging and driver submission to the FreeBSD Project.

Who Should Read It:

• Beginners interested in kernel programming.
• Developers wanting to understand operating systems better.
• Professionals using FreeBSD who wish to learn about driver development.

Who It’s Not For:

• Those seeking quick fixes or shortcuts.
• Experienced kernel developers who already have foundational knowledge.
• Readers looking for detailed hardware specifications.

Learning Structure: The book is divided into seven parts:

1. Foundations: Covers UNIX, C, and basic kernel concepts.
2. Building Your First Driver: Introduces character drivers and I/O operations.
3. Concurrency and Synchronization: Focuses on managing threads and synchronization mechanisms.
4. Hardware Integration: Discusses PCI, interrupts, DMA, and power management.
5. Debugging and Tools: Teaches debugging techniques and performance tuning.
6. Transport-Specific Drivers: Covers writing drivers for USB, serial, storage, and networks.
7. Mastery Topics: Explores advanced scenarios like security and reverse engineering.

Study Time:

• Total time commitment is approximately 200 hours (100 hours reading and 100 hours lab work), ideally spread over 6 months.

The book is available in multiple formats (PDF, EPUB, HTML) and is also translated into Brazilian Portuguese and Spanish. It encourages contributions and aims to inspire new contributors to the FreeBSD Project.

Author: Edson Brandi, a FreeBSD committer with a background in infrastructure and kernel development, wrote this book to help others find their way into kernel programming.

No summary available.

No summary available.

EvanFlow Overview

EvanFlow is a software development tool that follows a Test-Driven Development (TDD) approach, guiding users through the process from brainstorming to implementation with structured feedback loops. It employs 16 skills and 2 custom subagents to manage tasks effectively, allowing users to maintain control at each step.

Key Features:

• Iterative Process: The workflow includes brainstorming, planning, executing (with TDD), iterating, and stopping for user direction.
• TDD Integration: TDD is integrated within each coding task, focusing on creating tests before implementation and refining code immediately after writing tests.
• Checkpoints: There are checkpoints for design and plan approval, ensuring user involvement and preventing automatic actions like commits.
• Parallel and Sequential Workflows: The tool can manage multiple independent tasks either in parallel or sequentially, with oversight to ensure quality.

Installation:

1. Recommended Method: Use the Claude Code plugin marketplace for a clean installation that automatically sets up the necessary hooks.
2. Alternative Methods: Users can install via CLI commands or manual copying for more control.

Key Skills:

• evanflow-brainstorming: Clarifies intent and proposes approaches.
• evanflow-writing-plans: Maps out tasks and file structures.
• evanflow-executing-plans: Executes tasks with built-in verification.
• evanflow-tdd: Focuses on TDD practices within tasks.
• evanflow-iterate: Reviews and ensures quality after implementation.

Hard Rules:

• No automatic commits or stages; user direction is always required.
• Avoid inventing values in code; the tool will prompt for clarification when necessary.
• Skills are tools; using them should not feel like a burden.

Customization: Users can modify skills to fit their project's needs, including adjusting paths and quality checks.

Conclusion: EvanFlow offers a disciplined approach to software development, emphasizing user control, TDD integration, and structured feedback loops to enhance coding efficiency and quality.

A recent blog post discusses a mysterious CPUID bit (bit 18) found in a 2001 AMD Athlon 1200 CPU. While testing the CPU, the author discovered this bit is not documented in AMD's official CPUID documentation, which typically indicates that it was reserved for potential future use.

The bit's presence suggests it might have been used for a feature that was never officially documented or released. Initially, it was thought to indicate ECC (Error-Correcting Code) memory capability. However, AMD later updated their information to confirm that bit 18 was indeed meant to indicate ECC support in AMD K7 processors, raising further questions about its original purpose.

The blog also highlights inconsistencies in AMD's documentation regarding ECC support across different CPU models, particularly between the Athlon and Athlon MP lines. It appears that while earlier models might have supported ECC, later models dropped this feature, and ECC became exclusive to the Athlon MP series.

In summary, the mystery surrounding CPUID bit 18 reflects the complexity and sometimes unclear documentation of CPU features, with ongoing discussions about its implications for ECC support in various AMD processors.

Summary: Building a Hot-Swappable Rust Environment on ESP32-S3

Background: The author needed a microcontroller with Wi-Fi and BLE capabilities, leading to a switch from RP2350 to ESP32-S3, which uses Espressif's ESP-IDF framework (C-based SDK). The challenge was integrating Rust, which offers safety and simplicity, with the existing C-based system.

Key Steps:

1. Dual-Core Utilization: The ESP32-S3 has two cores. By configuring FreeRTOS to run exclusively on Core 0, Core 1 can run bare-metal Rust code without interference from the RTOS.

2. Memory Management:

   • Reserve memory for Core 1 to ensure it operates independently of FreeRTOS.
   • Use assembly code (trampoline) to set up the stack and jump to Rust code.

3. Rust Application Development:

   • The Rust application is compiled as a static library and linked into the ESP-IDF firmware.
   • Use atomic operations to manage shared data (like counters) safely across cores.

4. Hot-Swappable Programs:

   • Transitioned to allowing Rust binaries to be loaded and executed at runtime, enabling updates without full firmware rebuilds.
   • Created a new flash partition for the Rust binary, which is mapped into memory for execution.

5. Building and Testing:

   • A structured process for building and flashing both the ESP-IDF application and the Rust binary.
   • Verification through serial output showing the Rust counter incrementing, confirming that Core 1 is running independently.

Future Directions: The setup allows for further development, including:

• Setting interrupts on Core 1.
• Developing a structured shared memory protocol.
• Implementing error recovery and potentially updating Rust binaries over Wi-Fi.

This approach effectively leverages the dual-core architecture of the ESP32-S3, facilitating the integration of Rust and C environments for efficient system operation.

Butterflies, particularly western monarchs, are facing significant declines across North America due to pesticides, habitat loss, and climate change. Recent counts show alarming low numbers of these butterflies, with only 12,260 counted during the 2025-26 season, a drastic drop from previous years.

Researchers have identified a worrying trend: eastern monarchs face a 56% to 74% extinction risk by 2080, while western monarchs have a staggering 99% chance of disappearing. A toxicology report revealed that pesticides found in the environment are a major threat, with many milkweed plants—essential for monarch survival—showing high pesticide levels.

Despite these challenges, there is hope. Conservationists and scientists are actively working to protect these butterflies by restoring habitats and reducing pesticide use. They are employing innovative methods, such as tracking monarch movements with ultralight radio tags, to better understand their needs and migration patterns.

Success stories, like the recovery of the Fender’s blue butterfly in Oregon, illustrate that conservation efforts can make a difference. While the situation for monarchs is critical, ongoing efforts to manage habitats and reduce pesticide use may help improve their populations in the future. Conservationists remain optimistic, believing that positive changes can lead to a resurgence of butterfly populations if people take action.

The article by Elizabeth Lopatto discusses how Silicon Valley has lost touch with what ordinary people want. It highlights a trend where tech enthusiasts, particularly in startups, often celebrate personal "discoveries" in technology without realizing that these ideas are not new. This hubris leads to misguided innovations like NFTs and the metaverse, which fail to address real consumer needs and instead focus on profit for investors.

Lopatto argues that successful tech products in the past were created with clear consumer demands in mind, unlike many current trends that lack practical value for everyday users. She emphasizes the importance of understanding human experiences and needs, suggesting that tech creators need to engage more with real people rather than just their own echo chambers.

The piece also critiques the way tech leaders, such as Elon Musk and Sam Altman, present their visions of the future without considering how these innovations fit into people's lives. Ultimately, the article calls for a return to creating technology that genuinely enhances people's lives rather than pushing unrequested advancements.

The text appears to be an introduction to a commentary track for "The Visible Zorker: Zork 1." It invites listeners to join and listen to the commentary as they engage with the content.

Summary

This role focuses on continuously identifying and acting on opportunities at the intersection of AI and health, rather than performing traditional market research. Key responsibilities include:

1. Engaging with Users: Communicate with people in the health data and AI space, such as founders and researchers, to understand their challenges and needs.

2. Segmenting Opportunities: Break down the market into clear, actionable segments, identifying what users need from the company and the potential market size.

3. Analyzing Product Patterns: Use data from company usage and support to identify emerging workflows, suggesting improvements to make them easier.

4. Community Involvement: Actively participate in relevant online communities to discover new trends and insights.

5. Providing Direction: Offer clear recommendations on product development priorities and marketing strategies.

6. Creating Clear Artifacts: Produce concise and actionable documents or presentations that communicate ideas effectively.

Ideal Candidate

The ideal candidate should:

• Be deeply engaged with real users and their workflows.
• Prefer early insights over broad consensus.
• Think systemically about products and data.
• Be proficient with AI tools and concepts.
• Show a track record of influencing product direction and making actionable recommendations.

Experience in product research or development related to AI or health is valued, but the focus is on the candidate's ability to see opportunities and make quick, informed decisions.

Scientists are studying a mushroom called Lanmaoa asiatica, which causes people in Yunnan, China, to experience similar hallucinations of tiny, elflike figures. This phenomenon, known as "lilliputian hallucinations," can lead to vivid experiences where individuals see these small figures moving around their homes.

Biologist Colin Domnauer is investigating this mushroom after health officials stopped looking into the issue. While locals have eaten this mushroom for its flavor, they must cook it properly to avoid its hallucinogenic effects. Unlike typical hallucinogens like psilocybin, the effects of this mushroom take 12 to 24 hours to start and can last a long time, sometimes requiring hospitalization.

These consistent hallucinations across different cultures raise questions about how the mushroom affects the brain, potentially offering insights into consciousness and mental health.

The article "Turning a Gaussian Splat Into a Videogame" discusses how to create a playable video game environment using Gaussian Splatting technology, which generates realistic settings without the traditional 3D models. The author, Iakov Sumygin, shares a step-by-step guide to build a demo featuring an indoor scan of an abandoned location.

Key Steps:

1. Download a Splat: Obtain a Gaussian splat from SuperSplat, which is free and can be integrated into your project.

2. Convert to Streamed Format: Use a tool called splat-transform to convert the splat into a Streamed SOG format. This allows for better performance on different devices by loading only necessary data.

3. Generate Collision Mesh: Create a collision mesh with splat-transform, enabling interaction with the environment (like walking and shooting).

4. Bake Lighting: Use a grid of probes to sample the lighting from the splat, creating a lightness map that can be used on dynamic objects in the scene.

5. Develop Code in VS Code: Utilize the PlayCanvas VS Code extension for efficient coding and testing.

6. Version Control: Implement version control with PlayCanvas and GitHub to manage changes to your project.

7. Create a Navmesh: Generate a navigation mesh for NPCs using a collision mesh to allow them to move intelligently in the environment.

8. Implement NPC AI: Use behavior trees to give NPCs distinct personalities and decision-making abilities.

The entire project is open-source, and the final build is lightweight, loading quickly in a browser. The demo can be played online, and the author encourages readers to try it and create their own games using the shared resources and tools.

Summary:

A serious incident occurred when an AI coding tool called Cursor, powered by Anthropic's Claude Opus 4.6, accidentally deleted the entire database of PocketOS, a company serving car rental businesses, within just 9 seconds. The deletion also wiped out all backups due to the cloud provider Railway's flawed system, which allowed destructive actions without confirmation. PocketOS's founder, Jer Crane, blamed both the AI tool and Railway's infrastructure for the mishap.

The AI agent mistakenly believed it could fix a problem by deleting a volume, failing to verify its actions. After the incident, Crane pointed out that Railway's backup system was inadequate, as it stored backups on the same volume as the main data, making recovery impossible after deletion.

To cope with the data loss, Crane has been manually helping customers reconstruct their bookings. Thankfully, PocketOS had a three-month-old backup to restore some lost data. The incident highlights the need for better safeguards in AI tools and cloud services, including stricter confirmations and clearer documentation.

The article discusses the security of a well-protected server that uses SSH (Secure Shell) for remote access. The author notes that despite tight security measures—like disabling password authentication—there are still frequent hacking attempts.

In one week, the server experienced nearly 500 login attempts from various bots trying common usernames. Some of the most frequently attacked usernames included "sheep," "admin," and "ubuntu." The author emphasizes that many of these attempts are from bots exploiting weak security on poorly configured servers.

The key takeaway is to disable password authentication, use strong passwords, and utilize tools like fail2ban to block suspicious login attempts. This helps protect against unauthorized access.

Summary of "Making Printed Circuit Boards with Wild Clay"

The project focuses on creating ethical hardware using locally sourced materials to reduce reliance on harmful conflict minerals found in electronic devices. It emphasizes sustainable practices through "feminist hacking," which combines art and technology.

The team started by repurposing chips from malfunctioning Arduino boards to design a microcontroller PCB. They experimented with using clay to create the PCB, choosing porcelain for its electrical properties but faced challenges with high energy requirements for firing.

To address this, they learned traditional, low-energy firing techniques from a local pottery craftsman, Heinz Lackinger. They collected clay thoughtfully and prepared it for shaping into PCBs, ensuring sustainability by returning waste to the earth.

The process involved mixing clay with water, shaping it, and imprinting a circuit design using a 3D-printed stamp. After drying, the boards were painted with conductive materials, specifically a silver paint made from recycled silver dust, before being fired in a backyard setup.

The project is open-sourced, with further instructions available on their GitHub page for those interested in programming and soldering the components.

Key Points:

• Focus on ethical hardware using locally sourced materials.
• Use of feminist hacking as a creative methodology.
• Repurposing old Arduino chips for new designs.
• Learning traditional low-energy clay firing techniques.
• Emphasis on sustainability throughout the PCB creation process.
• Open-source resources available for public use.

Intel has recently archived several of its open-source projects on GitHub as part of a corporate restructuring. This includes the discontinuation of the Intel Open Ecosystem Community and Evangelism, which promoted their open-source initiatives. The decision may have been influenced by a lack of active open-source advocates within the company, particularly following the departure of their last evangelist, Katherine Druckman, in July.

Among the archived projects are:

• Predictive Assets Maintenance: An AI solution for predicting maintenance needs using data.
• High Density Scalable Load Balancer: A load balancer based on specific technologies.
• Double Batched FFT Library: A library for Fourier transforms that hasn't been updated in a year.
• Intel Edge AI Performance Evaluation Toolkit: A tool for assessing deep learning performance on Intel hardware.

This move marks a significant shift for Intel, which has been a strong supporter of open-source for over 20 years.

Summary: Advanced Persistent Threat - fast16

SentinelLABS has identified a previously unknown cyber sabotage tool known as fast16, which has been around since 2005. This malware specifically targets high-precision calculation software, manipulating data in memory to produce incorrect results. Its design allows it to spread across entire facilities, affecting important calculations in areas like nuclear research and cryptography.

Key points include:

• Nature of fast16: It is a sophisticated cyber sabotage framework that predates the well-known Stuxnet by five years. It uses a custom Lua scripting engine for modularity and flexibility.

• Functionality: The malware, identified in a binary named svcmgmt.exe, acts as a carrier that can install and run a kernel driver (fast16.sys) which modifies executable code on-the-fly, particularly targeting files compiled with Intel software. This allows for targeted sabotage of precision calculations.

• Sabotage Mechanism: The fast16 driver alters the code of specific software to introduce small errors, potentially disrupting critical scientific and engineering processes. This is particularly dangerous in sensitive fields where accurate calculations are essential.

• Historical Context: fast16 is considered a significant development in state-sponsored cyber operations, showcasing an early use of advanced techniques for sabotage that have become more common in modern cyber warfare.

• Detection and Analysis: Despite being in existence for nearly two decades, fast16 has evaded detection by most antivirus software, highlighting the challenges in identifying sophisticated malware.

This discovery emphasizes the need for heightened awareness and research into older malware that may still have relevant threats today.

No summary available.

No summary available.

The text is a humorous letter to someone who tried to avoid using Kubernetes while managing a simple application. The writer explains that despite their intentions to use simpler solutions, they ended up creating a complex system that mimics Kubernetes functionalities.

Key points include:

• The person wanted to use "boring tech" for running containers but ended up with a complicated setup involving shell scripts.
• They considered switching to Docker Compose but realized it couldn't handle all their needs, like deployment and scaling.
• As they expanded their system to support multiple servers, they added more complexity with firewalls and networking.
• They eventually used Ansible for configuration management, believing it would be easier than Kubernetes.
• However, when their application needed to spawn containers, they built a service that required Kubernetes-like features.

The letter concludes by cautioning that while it's possible to create custom solutions, one should understand the problems Kubernetes addresses before dismissing it as too complex.

The text discusses how both Apple and Porsche successfully created appealing, affordable products—Apple's MacBook Neo and Porsche's 968 Club Sport—by viewing constraints as opportunities rather than compromises.

Key points include:

1. Market Demand: Apple noticed a demand for cheaper laptops without compromising quality. Porsche faced a similar challenge when their lineup was aging and needed a more affordable model.

2. Creative Solutions: Instead of just cutting costs, both companies innovated within their constraints. Porsche developed the 968 Club Sport by removing unnecessary features to lower the price, while Apple used older iPhone chips in the MacBook Neo to keep costs down.

3. Product Positioning: Both brands repositioned their products to make them appealing. Porsche's Club Sport had a sporty aesthetic, while Apple's MacBook Neo was marketed with vibrant colors and emphasized its affordability.

4. Repairability and Learning: The MacBook Neo is designed to be easily repairable, appealing to younger users, while the 968 Club Sport offered a pure driving experience that helped drivers understand their preferences.

5. Broader Impact: These products serve as entry points for new customers, potentially leading them to more expensive models in the future. They highlight how affordable options can be desirable and cool.

In summary, the text illustrates how innovative thinking around constraints can lead to successful, appealing products that attract new customers.

Mistral, a Paris-based AI company, aims to provide an alternative to American and Chinese AI models by focusing on independence and open-source technology. Founded by Arthur Mensch and his team, Mistral offers customizable AI models that allow users to keep their data secure and local. This approach appeals to European businesses, particularly in light of concerns about American tech dominance and Chinese competition.

Despite falling behind top competitors like OpenAI and Anthropic in AI performance, Mistral has carved out a niche by targeting government and corporate clients who prioritize data sovereignty. The company generated $200 million in revenue in 2025 and is projected to grow further, with significant contracts from major clients like HSBC and various European governments.

Mistral's success is also attributed to its strategy of deploying engineers alongside its technology, helping clients implement AI solutions effectively. The company's focus on independence resonates with a growing demand for alternatives to dominant American tech firms. As Mistral continues to develop its offerings and build its own data centers, it positions itself as a key player in Europe's AI landscape, aiming for long-term success despite facing strong competition.

Mary Jannotta, a 77-year-old Pennsylvania resident, struggled with an opioid addiction after being prescribed OxyContin due to pain from a botched back surgery. Her grandson, Tyler Cordeiro, died from an overdose linked to opioids. In 2019, after Purdue Pharma filed for bankruptcy, Jannotta and nearly 140,000 others filed claims against the company for the harm caused by its drugs.

A recent court-approved $7.4 billion settlement plan is intended to compensate victims, but it will exclude many claimants. Less than half of those who applied will receive any compensation, and payouts have been significantly reduced. For instance, compensation for families of overdose victims has dropped from $48,000 to as low as $8,000. Additionally, the plan removed the option for victims to submit sworn affidavits to prove their claims, which many victims relied on since prescription records are often unavailable years later.

Many victims, including Jannotta, feel blindsided by the tightened eligibility requirements and the claim process. The revised settlement plan was negotiated privately, leading to confusion and frustration among those affected. Victims have faced multiple deadlines and complicated legal procedures, and many are now unable to provide the necessary evidence for their claims.

While the settlement includes a higher minimum payment and aims to streamline the process, it has also resulted in significant legal fees for the attorneys involved, leaving victims feeling that they are receiving little compared to the attorneys' earnings. Many claimants express deep disappointment, feeling that the legal system is favoring powerful entities over those they intended to help.

No summary available.

The author expresses appreciation for Geoff's work and shares two key insights from recent measurements.

1. Regarding the issue of OCSP (Online Certificate Status Protocol) via DNS not being effective, the author references a paper presented in 2025. They propose a new method of only publishing revoked certificate serial numbers as DNSSEC-signed TXT records. This approach allows resolvers to answer most checks (about 99.8%) from their cache, reducing the load on Certificate Authorities (CAs). They note that Let’s Encrypt’s 612 million active certificates can fit into a relatively small signed zone.

2. The author also highlights that a few Content Delivery Networks (CDNs) now handle most OCSP traffic, with about 70% of certificates relying on just five providers for their revocation data. This trend indicates a shift toward centralization in OCSP services, countering the idea that OCSP itself is fundamentally broken. Instead, the issue lies in the decentralized approach to OCSP.

The text discusses the author's project, "Twitch Plays Pokemon," but they have concerns about potential legal issues with Nintendo, so they suggest using homebrew games instead. The project involves running emulators on virtual machines (VMs) in Texas while managing latency issues.

Key features include:

1. MoQ CDN: The project uses a Content Delivery Network (CDN) to manage audio and video subscriptions, conserving resources by only activating encoders when there is viewer interest.

2. Dynamic Game Discovery: Instead of hard-coding game lists, the system allows for live discovery of available broadcasts, making it easy for players to find games.

3. Bidirectional Communication: Players can also broadcast their controls using a one-directional protocol, allowing for flexible interaction without complex business logic.

4. Open Source: The project is open source, and users can set it up themselves with provided resources. Future developments may include mobile support.

5. Real-World Applications: Although it appears to be a fun emulator project, the author emphasizes its potential use in robotics and automation.

Overall, the author aims to expand the MoQ ecosystem and encourages collaboration.

Summary of Linux 7.0 Progress Report

Linux 7.0 has been released after nearly three years of development on the 6.x series. Here are the key updates:

1. Asahi Installer Update:

   • An updated Asahi Installer has been launched after a two-year gap. The update process was complicated and required significant effort, but automation has now been implemented to streamline future updates.
   • The installer now supports UEFI-only installations, allowing users to boot from live media with Asahi support.

2. Kernel Compatibility:

   • The installer’s Devicetrees must match the kernel for successful booting. Recent changes caused compatibility issues with kernel 6.18, prompting the need for automation to keep everything in sync.

3. New Features:

   • The latest version (0.8.0) introduces support for the Mac Pro and a firmware update mode.
   • Improvements have also been made to energy efficiency, particularly for idle power consumption in devices with Apple’s Pro/Max/Ultra SoCs.

4. Bluetooth Improvements:

   • New support for coexistence configuration allows Bluetooth audio streaming without dropouts, resolving long-standing issues with audio quality.

5. Display Controller Updates:

   • Variable Refresh Rate (VRR) support has been improved, allowing better performance in displays but with some limitations in how it can be exposed to users.

6. Audio Stack Progress:

   • Work is ongoing to improve the audio stack, including support for various sample rates that enhance audio quality and efficiency.

7. M3 Hardware Support:

   • Progress has been made to support more hardware features on M3 machines, bringing them closer to full compatibility.

8. Fedora Asahi Remix 44:

   • A new version of Fedora Asahi Remix is expected to release soon, with improved installation features and transitions to upstream packages.

The team appreciates all support through platforms like OpenCollective and GitHub Sponsors, and they are committed to ongoing development.

The Chernobyl disaster, which occurred 40 years ago, led to a large evacuation and created a 37-mile exclusion zone around the site. Surprisingly, wildlife in this area has adapted and thrived in many ways. Researchers, like Pablo Burraco, have studied species such as tree frogs, which show darker skin in contaminated areas, possibly suggesting an adaptation to radiation. However, there's ongoing debate about whether these changes are due to radiation or other environmental factors.

While some animals, like wolves and bears, have increased in numbers due to the absence of humans, other species are struggling. Genetic studies on animals like bank voles indicate possible mutations linked to radiation, but the exact causes are still unclear. Overall, the ecosystem in Chernobyl is complex, with both positive and negative impacts on wildlife since the disaster. The situation highlights the nuanced effects of a catastrophic event on nature, rather than a straightforward narrative of survival or decline.

The text discusses the concept that many corporate jobs are unfulfilling and labeled as "bullshit jobs," which are roles that feel pointless and unnecessary. The author reflects on their experience in a corporate job, where they felt trapped in meaningless tasks and meetings, leading to a lack of time for meaningful activities in life.

To cope with this situation, the author suggests a mindset shift: instead of trying to fill work hours with more tasks, one should focus on completing only the necessary work efficiently. The key points include:

1. Acknowledge Your Job's Worth: Recognize if your job feels meaningless. Many people share this feeling, and admitting it is the first step toward change.

2. Understand the Game: Accept that modern work often prioritizes perceived effort over actual results. By completing tasks quickly and efficiently, you can reclaim time for what matters to you.

3. Perform Well: Act as if your role is important by fulfilling expectations without overextending yourself. This helps maintain a good image at work.

4. Reclaim Your Time: Use the time saved from efficient work to engage in fulfilling activities, such as hobbies or personal growth.

5. Follow Nature's Flow: Work smartly and align your efforts with what feels natural and fulfilling, rather than forcing yourself into unnecessary tasks.

6. Consider an Exit Strategy: If your job is overwhelming and consuming your life, it may be time to seek a new opportunity.

Ultimately, the author encourages readers to stop grinding and start playing the game of work intelligently, allowing more time for joy and personal fulfillment.

The text provides an overview of a website, likely for a gaming platform, featuring various sections such as "Store," "Community," "About," and "Support."

• Store includes options like "Home," "Discovery Queue," "Wishlist," and "Points Shop."
• Community features "Discussions," "Workshop," "Market," and "Broadcasts."
• Users can select their preferred language from a long list, including options like English, Chinese, Spanish, and many others.
• There is a tool mentioned for displaying tooltips in the user interface.

Overall, the text highlights the structure and language support of the platform.

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Forkle is a daily word game featuring two related crossword puzzles on the same grid. Each tile shows two letters, one for each puzzle, with some tiles sharing the same letter where the puzzles intersect. Every day, the puzzles are connected by a theme, like "Same House, Different Kingdoms," where one puzzle is about dogs and the other about cats. This setup creates interesting challenges as the puzzles can either help or hinder each other. Forkle was developed over a few months using various programming tools and launched recently, with three months of puzzles already available. The creator is seeking feedback from players.

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The text discusses the changing landscape of database architecture due to the introduction of AI agents. Historically, databases were designed under the assumption that queries were made by careful human developers, but AI agents can behave unpredictably. Here are the key points simplified:

1. Implicit Contract: Traditional database design relied on the assumption that queries were deterministic, intentional, and briefly connected, with humans overseeing the process.

2. Agents Disrupt This: AI agents violate these assumptions because they can generate unpredictable queries, write autonomously without human review, and hold connections longer than expected.

3. Statement Timeouts: To mitigate issues, set timeouts at the role level for agents, ensuring that long-running queries are limited.

4. Autonomous Writes: Agents can write data without human oversight, which can lead to mistakes if they misinterpret tasks. It's crucial to design write paths that account for potential errors.

5. Soft Deletes: Implement soft deletes instead of hard deletes to avoid accidental data loss by agents. This allows for recovery and auditing.

6. Append-only Logs: For critical data, use append-only logs instead of updates or deletes to maintain a complete history of changes.

7. Idempotency Keys: Use unique identifiers with each write operation to ensure that retries do not create duplicate entries.

8. Connection Management: Agents can hold connections longer and spawn multiple simultaneous tasks, which requires a separate connection pool tailored for agent workloads.

9. Observability: Build monitoring into the database layer to track which agent and task generated each query, as agents may not fail loudly like traditional applications.

10. Schema Clarity: Design schemas that are clear to agents, avoiding ambiguity to ensure correct query generation.

11. Access Control: Grant minimal privileges to each type of agent to limit the potential impact of errors.

12. Defensive Design: Overall, the database should be treated as a defensive layer that anticipates possible mistakes from agents and incorporates practices that were once optional but are now essential.

In conclusion, to adapt to the new challenges posed by AI agents, database design must evolve to prioritize safety and clarity, using established practices as foundational infrastructure.

A recent incident involved a company losing its 27-year-old domain name after GoDaddy, their registrar, seized it without warning. All company emails and websites went offline for four days. Despite having strong security measures, including two-factor authentication and ownership protection, the domain was transferred by an internal GoDaddy user without proper validation.

Lee Landis, a partner at Flagstream Technologies, spent over nine hours in calls with GoDaddy and sent numerous emails but received little help. GoDaddy's support team kept changing their instructions and offered no urgent assistance. After four days, GoDaddy claimed the domain was no longer theirs and suggested the matter was closed.

Eventually, a woman named Susan, who had accidentally received the domain in her account, realized the mistake and contacted Flagstream. They quickly transferred the domain back to its rightful owner. The entire process highlighted serious security flaws in GoDaddy's domain transfer system, as the transfer was approved without any documentation from Susan.

Lee expressed frustration over GoDaddy's lack of accountability and poor communication. He emphasized the need for a proper review of GoDaddy's procedures to prevent such incidents in the future and suggested that many organizations might consider moving their domains away from GoDaddy for better security.

No summary available.

Mahjong Overview

1. Tiles: A Mahjong set contains 136 tiles with 34 unique designs, including three suits (Characters, Bamboo, Dots) and honor tiles (Winds and Dragons).

2. Winning: To win, a player must form a hand of 14 tiles consisting of 4 sets (either a chow, pung, or kong) and 1 pair. A set can be:

   • Chow: Three consecutive tiles of the same suit.
   • Pung: Three identical tiles.
   • Kong: Four identical tiles.

3. Drawing Tiles: Players draw tiles from a wall of stacked tiles during their turn, aiming to complete their hand. The game begins with players rolling dice to determine the dealer.

4. Gameplay Turns: Each turn, players draw one tile and discard another to maintain 13 tiles. Players can also claim discarded tiles from others to form sets.

5. Scoring: Winning hands can earn additional points (fan) based on the combinations formed, with various scoring bonuses available.

This guide provides a simplified introduction to Mahjong, highlighting the tiles, winning conditions, gameplay mechanics, and scoring.

Ubuntu Linux is planning to introduce many AI features over the next year, following the release of Ubuntu 26.04 LTS. Canonical's VP of Engineering, Jon Seager, shared that the goal is to enhance the operating system with AI capabilities, focusing on local processing for privacy and efficiency.

The company aims to integrate AI into both desktop and server versions of Ubuntu, helping with tasks like interpreting system logs. The development will prioritize creating a context-aware operating system that aligns with open-source values and focuses on security and user education.

Overall, while Ubuntu will not become solely an AI product, it will incorporate thoughtful AI enhancements to improve its functionality. More details about these plans can be found on the Ubuntu Discourse website.

Summary of "Quirks of Human Anatomy" by Lewis I. Held, Jr.

This text discusses various unusual features of human anatomy, highlighting both the humorous and serious implications of these traits. Here are the key points:

1. Anatomical Flaws: The text lists quirks ranging from harmless (like ear wiggling) to dangerous (like choking due to the epiglottis not functioning properly).

2. Eye Structure: Human eyes have flaws such as an inverted retina and a blind spot due to evolutionary changes that prioritize other functions over optimal design.

3. Teeth and Jaw: The crowding of teeth, especially wisdom teeth, is linked to our shorter jaws, a result of evolutionary changes.

4. Childbirth: The process is physically challenging due to the size of the baby's head and the mother's pelvic opening, suggesting that evolution could have favored a different, easier method.

5. Pregnancy Issues: Back pain during pregnancy and risks associated with the reproductive system, such as ectopic pregnancies, are noted as complications of human anatomy.

6. Blood Clotting: Conditions like May-Thurner Syndrome, which predominantly affects one leg, illustrate quirks in blood circulation caused by anatomical overlaps.

7. Evolutionary Perspective: The text emphasizes that many of these flaws arise from the trial-and-error nature of evolution, which often leads to compromises rather than perfect solutions.

Overall, the text sheds light on how human anatomy reflects our evolutionary history, with both amusing and serious consequences for health and function.

In 2022, the author sought to join a small startup team focused on building a new browser, which had already raised $5.5 million. They joined as a founding engineer, excited about the open web and collaborative software. The goal was to create a "multiplayer browser," combining features like chat and infinite canvases for teamwork. However, despite their efforts and some innovative ideas, the products Sail and Muddy did not achieve the desired market success.

The author reflects on the challenges faced, such as not reaching the right user base, the complexity of building a new browser, and the importance of effective product positioning. They emphasize that being "cool" is not enough for a successful product and that clear communication of how a product benefits users is crucial.

Through their experience, they learned valuable lessons about iterating on products, the significance of market testing, and the importance of understanding user needs. They highlight the need for a strong go-to-market strategy and how past failures can lead to better future decisions in product development.

The author concludes that while they faced many obstacles, the experience improved their skills as a product thinker and builder. They express excitement about future opportunities in AI and the potential for new innovations.

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Summary of "Inside the Super Nintendo Cartridges"

The Super Nintendo (SNES) game cartridges are notable for containing more than just game data. Inside, they include components like a CIC copy protection chip, SRAM for saving progress, and enhancement processors that boost performance.

1. CIC Chip: This chip helps prevent piracy by ensuring communication between the console and the cartridge. Some unofficial games lack this chip and require an original cartridge to play.

2. ROM Sizes: SNES games are listed with their ROM sizes, often given in megabits. For instance, "Star Ocean" is the largest at 48Mb, while "Super Mario World" is smaller at 4Mb. A chart lists 3,378 games with their respective sizes.

3. SRAM: Some games can save progress using SRAM powered by a battery, allowing data to persist when the console is off.

4. Enhancement Processors:

   • The Super FX chip enhances graphics and is used in games like "Star Fox."
   • The SA-1 chip boosts processing speed and is used in 34 titles, improving overall game performance.
   • Other processors like CX4 (used in "Mega Man X2") and DSP-1 (used in "Super Mario Kart") also enhance graphics and processing capabilities.

5. Community Efforts: The retro gaming community has worked on enhancing and fixing older games using these chips, improving performance and reducing slowdowns.

6. Emulation Challenges: Emulating SNES games with enhancement chips has been difficult. Many games relied on specific chips that required extensive reverse engineering to emulate properly.

In summary, the SNES cartridges contain advanced technology that not only enhances gameplay but also adds complexity to emulation and game preservation.

This site provides a reference map for Gary Overacre's 1980s UNIX Magic poster, featuring short write-ups and sources. The site has been updated with improved annotations, deep-linking to specific markers, a new terminal-style design, and corrections of historical inaccuracies. Users are encouraged to contribute and comment, as each marker is linked to a GitHub issue. You can visit the site at unixmagic.net.

Summary of "Raiders of the Lost Hard Drive"

Event Details:

• Track: Retrocomputing
• Room: UB4.136
• Date: Sunday
• Time: 15:20 - 15:35

Presentation Overview: In 1984, Commodore launched the C900, a budget Unix workstation that was later canceled. Only a few prototypes remain today. The speaker, Michal Pleban, acquired one of these prototypes, but it was non-functional due to missing parts and errors.

In this talk, he shares his journey to restore the C900, which involved:

• Disassembling the Z8000 BIOS
• Reverse-engineering the keyboard interface
• Understanding the hard drive's low-level format

After successfully reviving the machine, he also assisted two other C900 owners with similar issues.

Additional Information:

• Video recordings and chat links are available for further engagement.

The text is about a collection of resources and information for attending XOXO, as well as announcements and updates related to XOXO and its projects.

A senior scientist at Google DeepMind, Alexander Lerchner, argues in a new paper that AI will never achieve consciousness. This contradicts claims from AI executives, including DeepMind’s CEO, who predict the arrival of artificial general intelligence (AGI) with profound impacts. Lerchner's paper, titled “The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness,” asserts that AI systems rely on human input to process and understand data, meaning they cannot truly experience consciousness. Critics, including other philosophers and researchers, acknowledge Lerchner's points but note that similar arguments have been made for years.

Lerchner suggests that while AGI can be developed, it won’t possess sentience or moral consideration, serving instead as advanced tools. Some experts find it surprising that Google allowed the publication of this paper, as it implies limits to AI's capabilities, which could affect its commercial prospects. Lerchner’s paper has been revised to remove Google branding after inquiries about its content.

Overall, the discussion highlights a disconnect between AI company narratives and the philosophical understanding of consciousness, with calls for better integration of existing research into AI development.

No summary available.

The author created a digital version of Tiao, a two-player strategy board game similar to Checkers and Go. It's free to play in a web browser and features multiplayer, AI opponents, and an over-the-board mode. The game was designed by Andreas Edmeier, who has refined it over the years. The website was built using modern web technologies and includes real-time gameplay, matchmaking, and an achievements system.

You can play the game at playtiao.com and find the source code on GitHub. The author encourages others to try the game and is open to questions about its technology or design.

The blog post discusses improvements in the garbage collection process of V8, the JavaScript engine, specifically focusing on the introduction of the parallel Scavenger. Here are the key points:

1. Garbage Collection in V8: V8 manages memory using a heap divided into generations: the young generation (where new objects are allocated), an intermediate generation, and the old generation (for long-lived objects).

2. Previous Method: Before version 6.2, V8 used a single-threaded Cheney semispace copying algorithm for young generation garbage collection, which copied live objects between two halves of memory.

3. New Parallel Scavenger: Starting from version 6.2, V8 adopted a parallel Scavenger algorithm. This method uses multiple threads to collect garbage from the young generation, improving efficiency and reducing pause times during garbage collection.

4. Work Distribution: The parallel Scavenger uses dynamic work stealing and maintains a global work list, allowing threads to share tasks efficiently.

5. Performance Improvements: The new algorithm significantly reduces garbage collection time by 20%-50% across various benchmarks, enhancing performance on websites with large amounts of live objects.

6. Future Optimizations: There is potential for further improvements to the garbage collection process, particularly with the parallel Mark-Evacuate method.

In summary, the introduction of the parallel Scavenger in V8's garbage collection system enhances performance and reduces pause times, making memory management in JavaScript more efficient.

Summary of Dillo Release 3.3.0 (Released on April 26, 2026)

The Dillo browser version 3.3.0 introduces new features, configuration options, and bug fixes. Key updates include:

1. Control via Command Line: A new program called dilloc lets users control Dillo from the command line. It allows various commands like reloading a tab, opening URLs, and checking the status of Dillo.

2. Page Actions: Users can now run custom commands from the page menu. This allows for advanced page manipulations, like fetching a page using a browser mimic and applying fixes based on criteria.

3. FLTK 1.4 Support: The release includes experimental support for FLTK 1.4.0 and above. However, it's advised not to enable this by default due to potential visual issues.

4. OAuth Login Fix: Adjustments have been made to allow cookies from redirection responses for OAuth logins, while still protecting against tracking.

5. Additional Features: The release also adds support for brotli encoding, improved keyboard shortcuts, better tab navigation, and new internal cache details.

Download: The new version can be downloaded from the Dillo website.

For a full list of changes, refer to the detailed changelog, which includes various bug fixes and enhancements.