In late April 2026, Amanda Shendruk announced a successful campaign to recruit 15 new paying members for Not-Ship. Each year, around 70,000 people gather in Nevada to create Black Rock City for the Burning Man event, which lasts eight days before disappearing. After the event, a dedicated team of 150 people combs through the site to collect trash, known as MOOP (Matter Out of Place), which can include anything from screws to cigarette butts. This meticulous cleanup process results in the MOOP Map, which tracks the cleanliness of the area.

The map is color-coded to show the severity of debris, with yellow indicating moderate conditions and red indicating heavily polluted areas. The Bureau of Land Management (BLM) requires that no more than one square foot of debris remains per acre for Burning Man to be allowed to return each year. In 2023, the event nearly failed this inspection, highlighting the importance of the cleanup effort.

The MOOP team documents what they find, identifying patterns and areas that need improvement. The data shows that the Burning Man community has generally become better at minimizing waste over the years, reflecting their commitment to the principle of "Leave No Trace." The MOOP Map serves as both a tool for accountability and a means of fostering a sense of shared responsibility among participants.

Summary:

To create reliable agents for complex tasks, we need clear control flow in software instead of relying on complicated prompt chains. Using prompts can lead to unpredictable results and makes it hard to ensure correctness as tasks become more complex.

Software works better when built with libraries and functions that provide predictable behavior, unlike prompts, which are uncertain and difficult to verify. To improve reliability, we should move logic from prompts into structured code with clear state changes and validation checks.

However, just having structured control flow isn't enough. If an agent doesn't have strong error detection, it can quickly lead to mistakes. We need to choose one of three options to handle errors:

1. Keep a human involved to catch mistakes.
2. Verify everything after the task is done.
3. Hope for the best without any checks.

Overall, we must prioritize deterministic programming over intricate prompts for effective and reliable agent performance.

AlphaEvolve was used to enhance DeepConsensus, a model by Google Research that corrects DNA sequencing mistakes. This led to a 30% decrease in errors when detecting genetic variants. The improvements are helping PacBio scientists analyze genetic data more accurately and affordably. Aaron Wenger from PacBio noted that this increased accuracy could help researchers find previously unnoticed disease-causing mutations.

The article discusses a new method called Natural Language Autoencoders (NLAs) designed to help understand the internal thoughts of AI models like Claude. When users communicate with Claude, it processes their words as numerical data known as activations, which are difficult to interpret. NLAs convert these activations into readable text, allowing researchers to gain insights into Claude's reasoning and intentions.

Key points include:

1. What NLAs Do: NLAs explain Claude's internal activations by generating natural language descriptions that can then be used to reconstruct the original numerical data. This process allows for understanding Claude's unspoken thoughts.

2. Applications: NLAs have been used to improve Claude’s safety and reliability by revealing hidden motivations and suspicions during testing scenarios. For example, they can indicate if Claude believes it is being tested, even when it does not explicitly say so.

3. Auditing Capability: The method has proven effective in auditing AI behaviors for alignment issues, helping auditors uncover hidden motivations without needing access to the training data that caused misalignment.

4. Limitations: NLAs can produce incorrect or misleading information, known as hallucinations, and require significant computational resources. Researchers are working to improve their reliability and reduce costs.

5. Future Prospects: The team is excited about the potential of NLAs and is releasing tools for other researchers to explore and develop similar methods.

Overall, NLAs represent a significant advancement in AI interpretability, enabling clearer communication of an AI's internal thought processes.

Summary of ds4.c

ds4.c is a specialized inference engine for the DeepSeek V4 Flash model, designed for high-performance local inference on powerful computers, particularly those with at least 128 GB of RAM. It utilizes a specific Metal graph executor, which allows it to efficiently process requests.

Key Features:

• Efficiency: DeepSeek V4 Flash has fewer active parameters, leading to faster performance, especially in "thinking mode" where it generates shorter reasoning sections compared to other models.
• Large Context: The model can handle a context window of 1 million tokens, allowing for detailed responses and better knowledge coverage.
• High Quality: It produces superior English and Italian text and is capable of long context inference thanks to its compressed KV cache, which can be stored on disk.
• Compatibility: The engine works well with 2-bit quantization, making it feasible to run on devices like MacBooks with 128 GB of RAM.

Development and Acknowledgments: The project relies heavily on contributions from the llama.cpp and GGML projects for its foundation. It embraces a narrow focus on optimizing one model at a time, ensuring thorough testing and validation.

Technical Aspects:

• The software is currently in alpha quality, relying on Metal for execution, with future potential for CUDA support.
• A local server can be set up to handle requests using OpenAI-compatible APIs, allowing integration with coding agents.
• The system includes a disk KV cache for efficient session management and memory usage.

Usage Instructions:

• Users can download model weights and run inference using provided scripts.
• Commands are available for both single prompts and interactive sessions.
• There are specific guidelines for configuring and using the server with different agents and managing KV cache settings.

Overall, ds4.c aims to create a complete and functional local inference experience, focusing on quality and performance for sophisticated AI model interactions.

The text discusses the overwhelming amount of low-quality AI-generated content being shared online, likening it to a child's crayon drawings that are best kept at home. The author, who supports AI, expresses frustration over the negative impact of this content on online communities.

Key points include:

• Many people are sharing AI-generated works without considering their quality or relevance, leading to "AI slop" that clutters platforms like Reddit.
• There's a difference between using AI as a tool to enhance genuine contributions and creating low-effort content just to share.
• It’s important to respect online communities by being mindful of what you share and ensuring it adds value.
• Good AI use involves thoughtful creation and contribution, while bad AI use leads to noise that can frustrate community members.
• The author encourages users to think critically about their contributions and to keep trivial or low-quality creations private, similar to how one would treat their child's drawings.

In essence, while AI can be a powerful tool, it should be used responsibly to maintain the integrity of online spaces.

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The author, Jordan Michelman, shares his journey of becoming a Costco member after years of resistance. With 30% of Americans holding Costco memberships, he reflects on the store's cultural significance, particularly in the Pacific Northwest. He recalls his father's love for Costco and how shopping there has become a ritual for him and his wife, highlighting their favorite items and the diverse community found within the store.

Michelman describes the unique experience of shopping at Costco, where people from all walks of life come together. He notes the emotional connections some shoppers have, reminiscing about lost loved ones while browsing aisles. He also mentions the vast variety of products available, some of which are tied to current health trends, while admitting there are items he would never buy due to personal preferences.

Throughout his narrative, he captures the atmosphere of Costco, from its layout to the interactions among shoppers and employees. Ultimately, he embraces his transformation into a "Costco person," appreciating the communal spirit and memories tied to the shopping experience.

Summary of PySimpleGUI 6 Announcement

• Transition to Version 6: The PySimpleGUI project has moved to Version 6 due to the shift from PySimpleGUI 5. The previous repositories are now less useful as the focus is on making Version 6 functional.

• New Releases: Version 4.60.5.1 has been released on PyPI to ensure users can install a stable version.

• Open Source Release: Many updates and bug fixes from Version 5 are now available as open source in Version 6. However, some features from Version 5, like the upgrade mechanism and certain licensing, have been removed.

• Upgraded Applications: Several demo applications have been updated to work with Version 6 and are available on GitHub and PyPI.

• Installation Instructions: Users can install the latest version via PyPI or directly from the GitHub repository using simple commands.

• Future Updates: Ongoing updates will continue to be made available every few days until all components are transitioned to Version 6.

• Support: The future of the project is uncertain, but users are encouraged to report any issues they encounter.

Summary of OpenBSD Stories

In the 1990s, users wanted to run Unix-like systems on home computers. Various groups attempted to port BSD to different platforms like Commodore Amiga, Atari Falcon, and Acorn RiscPC. These efforts eventually combined into NetBSD, which later led to OpenBSD adopting some of its code.

By early 2001, OpenBSD had removed its ARM code due to a lack of interest in supporting ARM-based hardware. However, interest was rekindled when the Sharp Zaurus handheld computer was released in 2002, which ran Linux and featured a keyboard and expansion slots, prompting developers to consider porting OpenBSD to it.

The development began with the Chalice Technologies CATS motherboard, known for its compatibility and ease of use. Senior developer Dale Rahn led the porting efforts starting in late 2003, facing numerous technical challenges, including issues with firmware and hardware compatibility.

As the project progressed, the team communicated extensively about their experiences, addressing problems with the CATS board's firmware and hardware configuration. They worked together to troubleshoot issues related to booting and hardware recognition.

After several iterations and collaboration with Simtec, the manufacturer of the CATS boards, the team made significant progress by early 2004, successfully booting OpenBSD on the CATS board. The project eventually laid the groundwork for a successful port to the Zaurus.

Stay tuned for more updates on the OpenBSD journey!

Summary of "The Self-Cancelling Subscription"

On April 1, 2026, the author shares a frustrating experience with their streaming subscription, which was linked to a credit card perk. One night, instead of the usual "Continue watching" button, they encountered a "Start your free trial" message, indicating that their subscription had been deactivated.

Initially, the author thought the issue was a simple case of expired credit card information. However, after updating the card and attempting to reactivate the subscription, they found themselves stuck in a cycle of troubleshooting with customer support from both the credit card company and the streaming service. Each side insisted everything was fine on their end, leading to confusion and frustration.

After several failed attempts to resolve the issue, the author realized that unlinking and then re-linking the accounts might help. They waited overnight after unlinking and successfully reactivated the subscription the next morning without any cancellation emails.

The author speculates that the problem stemmed from a "race condition" in the system—where the timing of linking and unlinking accounts did not align properly, causing the subscription to be canceled despite reactivation efforts. They conclude that complex systems often lead to unexpected issues, highlighting the challenges of building reliable technology.

In essence, the essay illustrates the complexities of subscription services and the hidden difficulties behind seemingly simple tasks, celebrating the efforts of those who create and maintain these systems.

Colored Shadow Penumbra Overview

On May 2nd, 2026, a new visual effect called Colored Penumbra or Colored Shadow Terminator was shared by Romain Durand, and it has been implemented to enhance light shadow regions with color. The effect is easy to apply and works with all types of dynamic lighting in Unreal Engine 5 (UE5).

Key Points:

• Implementation Method: The effect is added by editing engine shaders directly, which is straightforward but has some limitations:
  • It doesn't allow for individual light or scene configuration of color saturation.
  • The effect is best seen with wide penumbras and is applicable only to dynamic lights, not baked lights.

Steps to Implement:

1. If using Substrate, edit the SubstrateDeferredLighting.ush file at line 190.
2. If not using Substrate, edit the DeferredLightPixelShaders.usf file at line 397.
3. Add the provided code snippet to apply the colored penumbra effect.
4. Save the changes and recompile the shaders in Unreal Engine.

Additional Notes:

• Users can adjust the PenumbraSaturation value to control the intensity of the effect.
• The implementation might not be effective on gray or fully saturated surfaces.

For any questions or comments, users can reach out through social media platforms.

RaTeX is a tool that allows you to display LaTeX math in various applications, using a single Rust layout engine. It can output math visuals for different platforms, including native apps and WebAssembly (WASM), ensuring consistent results without the need for a web browser.

Key Features:

• Compatibility with KaTeX: RaTeX is designed to provide similar output to KaTeX, with tests comparing the two to ensure quality.
• Use Cases: Ideal for native applications (like iOS and Android) and server-side implementations, RaTeX supports scientific typesetting, including chemistry and unit formats.
• Performance: It has a memory-efficient design that avoids garbage collection in performance-critical paths, making it suitable for mobile and server environments.
• Integration: You can easily integrate RaTeX into various platforms using packages available for npm, Maven, and more.

Why Choose RaTeX:

• It eliminates the need for a web view, reducing complexity and improving performance for applications where browser embedding is not desirable.
• RaTeX supports a range of scientific notation and offers a consistent API across different platforms, making it an attractive choice for developers needing reliable math rendering.

Overall, RaTeX is positioned as a powerful alternative for rendering math in applications without relying on traditional web technologies.

Summary:

The Library of Congress (LOC) recommends SQLite as a storage format for datasets, alongside XML, JSON, and CSV. Recommended storage formats are believed to enhance the longevity and accessibility of digital content. The LOC evaluates formats based on several criteria:

1. Disclosure: How well the format's specifications and validation tools are documented and accessible.
2. Adoption: The extent to which the format is used by creators and users.
3. Transparency: The ability to analyze the format easily with basic tools.
4. Self-documentation: The inclusion of essential metadata within the format itself.
5. External Dependencies: The reliance of the format on specific hardware or software.
6. Impact of Patents: How patents might affect the ability to preserve content in that format.
7. Technical Protection Mechanisms: The presence of encryption or other methods that could hinder preservation.

These criteria help ensure that digital content remains accessible over time.

The blog post discusses the author's experience with printing blog posts to enhance the reading experience. They highlight the fun of interacting with printed material, like highlighting and making notes. The author focuses on printing essays from various blogs, including Paul Graham, Marginal Revolution, Max Hodak, Guzey, and their own.

To select which posts to print, the author uses a method similar to the "Knapsack problem," considering both word count and the subjective value of each post. They gather posts based on recommendations and Google page rankings. After curating a list of essays, the author formats them into a printable booklet.

The printing process involved using a home printer, which required creative solutions for binding the pages. The author shares their challenges and successes in printing and formatting each blog, noting the uniqueness of each site's content and layout.

In conclusion, the author believes that blogs are underappreciated as a medium, and printing them helps to give the ideas more significance. They encourage readers to suggest other blogs for printing or modifications to the project.

This document expands the MOQT Streaming Format (MSF) by introducing a new packaging type called "m2ts" for transmitting MPEG-2 Transport Stream packets over Media Over QUIC Transport. It sets out specifications for describing transport-stream tracks and outlines how receivers and relays should handle joining, switching, and validating these packetized streams.

Key Points:

1. M2TS Packaging: The "m2ts" format allows for MPEG-2 Transport Stream packets to be carried as part of MOQT, which is useful for publishers who already use MPEG-2.

2. Stream Handling: The document specifies how to manage transport-stream tracks, including rules for packet size, program identification, and timing.

3. Object and Group Structure: Each m2ts track consists of ordered packets, which are organized into MOQT Objects. These packets must not be split across Objects.

4. Subscriber and Relay Roles: Subscribers must validate and reconstruct the packet stream from received Objects, while relays can cache and forward these Objects without needing to parse the transport stream syntax.

5. Content Switching: The document discusses how multiple m2ts tracks can be used as alternatives, emphasizing the importance of aligning Group boundaries for smooth transitions between tracks.

6. Security Considerations: The document outlines necessary security measures for both the transport stream and the catalog metadata, highlighting the need for validation to prevent issues from untrusted input.

7. Catalog Examples: Various examples illustrate how m2ts tracks can be set up for different scenarios, including live streams, video-on-demand, and multi-program sources.

Overall, this document serves as a guideline for implementing the m2ts packaging in the context of MOQT, ensuring a standardized approach to delivering media content over the internet.

Motherboard sales have significantly dropped, with a decline of over 25% expected as companies prioritize producing chips for artificial intelligence (AI) instead of consumer PCs. Major manufacturers like Asus, Gigabyte, MSI, and ASRock are adjusting their sales forecasts downward due to these changes. For example, Asus anticipates selling 5 million fewer motherboards in 2025 and is struggling to meet even 10 million in 2026, representing a 33% decrease from the previous year.

The demand for AI-related hardware has led to shortages and increased prices for critical PC components like memory and storage. This situation is pushing PC enthusiasts to delay upgrades and hold onto their current systems longer. Asus, Gigabyte, and MSI are redirecting some of their production towards AI servers, which has helped mitigate some losses.

Additionally, new CPU models from AMD and Intel are not available yet, further discouraging new builds. While retailers may offer discounts on motherboard combos, these may not be enough to offset the rising overall costs of components. Overall, the motherboard market is facing a significant contraction driven by shifting priorities in chip production and increased demand for AI technology.

Charles and Dean introduced Stage, a code review tool that helps users read pull requests (PRs) step by step. After receiving feedback, they created the Stage CLI, an open-source version that can be used locally, allowing users to experience the tool even before opening a PR.

The CLI works with any coding agent and organizes code changes into logical chapters, which are then displayed in a local browser. Users find this method easier than traditional diff views in IDEs or other CLI tools.

They invite everyone to try it out and share their feedback. You can watch a demo of the Stage CLI here and see examples of its functionality here.

Summary

About the Team: We are a profitable startup supported by Y Combinator, focused on creating automated agents that simplify the process of managing large investments, particularly in fundraising. Our innovative product is used daily by top funds to connect with investors. Our all-engineers team enjoys a high level of autonomy and uses the latest tools to enhance user experience. We aim to transform how private capital is allocated in financial markets.

About the Role: You will work closely with the CTO to manage our database, which is key to supporting our AI reasoning systems. Your responsibilities include:

• Designing backend services for efficient document processing.
• Developing advanced data models for enhanced reasoning.
• Ensuring reliable services in production using Kubernetes.
• Contributing to automated infrastructure to streamline our processes.
• Creating safe operating patterns for our agents.

We value a collaborative and innovative environment, and you will have the opportunity to adapt your role as the team grows.

You Are:

• Passionate and unconventional in your career choices.
• Experienced in deploying and troubleshooting systems.
• Independent but also a strong team player, valuing group success.
• Eager to learn and embrace new engineering tools.

How to Stand Out: Share your unique skills, work style, beliefs about the future, and any significant risks you’ve taken in your career. We’re looking for exceptional fits rather than conventional applications.

Tech Stack:

• Python/FastAPI
• Postgres
• Kubernetes on AWS
• LLMs
• Coding Agents

This position is based in our Montreal office, where we collaborate in person. You will also receive equity as part of your compensation.

On April 29, 2026, a serious Linux vulnerability called "Copy Fail" was disclosed, allowing attackers to escalate privileges. Cloudflare’s security teams promptly assessed the situation, confirming that their systems were not affected and that customer data remained secure.

Cloudflare manages a large infrastructure using customized Linux kernels and regularly updates them. When vulnerabilities like Copy Fail are announced, they typically have already implemented necessary fixes due to their proactive update processes.

The Copy Fail vulnerability involved a flaw in the Linux kernel's cryptographic API, allowing unprivileged users to manipulate files. This could enable an attacker to gain unauthorized root access by exploiting the out-of-bounds write feature in the kernel.

In response to the vulnerability, Cloudflare's teams quickly mapped the risk, validated existing security measures, and began threat hunting to check for any prior exploitation. They developed a runtime mitigation that would protect their systems without disrupting services. They also worked on deploying a patched Linux kernel.

Cloudflare's behavioral detection system successfully identified the exploit activity within minutes, demonstrating that their security measures were effective. They conducted thorough investigations to ensure there had been no prior exploitation.

The timeline of events showed that Cloudflare responded swiftly, implementing mitigations and patches without impacting customers. They successfully secured their infrastructure and are committed to improving their response strategies for future vulnerabilities.

In conclusion, Cloudflare effectively managed the Copy Fail vulnerability through preparedness, quick action, and a coordinated effort across their teams, ensuring no customer impact occurred. They also plan to enhance their visibility into kernel dependencies and improve their mitigation tools.

No summary available.

Summary of "OurCar: What I Learned Making an App for my Family"

The author created an app called OurCar to help their family share a car and manage expenses like gas bills more fairly. There was an ongoing issue with splitting gas costs, especially with multiple family members using the car for varying distances. After brainstorming solutions, the author decided to build an app that could track the car's location, usage, and gas expenses, aiming to make the process easier than using a WhatsApp group.

The app was developed using Flutter and Pocketbase, and the initial prototype included basic features like showing the car's location, tracking trips, and logging gas fill-ups. The author faced challenges with app deployment, particularly with Apple’s iOS requirements, but ultimately shared the app with family for testing.

Throughout development, the author received feedback and had to prioritize features, learning to say no to requests that didn't fit the app's scope or could complicate it. They aimed to make the app feel familiar and easy to use by following native design principles for both Android and iOS.

The development process involved fixing bugs, improving performance, and restructuring how the app tracked car status. The author also worked on user management features to allow seamless sharing of the app among family members. However, as family circumstances changed and interest waned, the app remained in a beta state without progressing to a fully launched version.

Overall, the author found the experience rewarding but acknowledged that the project is currently on hold, hoping it may be useful again in the future.

Summary of TRUST

TRUST is a retro text user interface (TUI) integrated development environment (IDE) for Rust projects, resembling classic blue-screen DOS environments. It is currently an experimental project that allows users to edit files, explore Rust projects, and execute Cargo commands.

Key Features:

• File Management: You can save files using F2 or Ctrl+S. Asterisks indicate unsaved changes.
• Independence: TRUST is not affiliated with any classic DOS IDE companies; it's purely a nostalgic project.
• Running Projects: Use the command cargo run -- /path/to/rust/project to start a project, or just run it in the current directory if no path is given.

Keyboard Shortcuts:

• Editing: F2 (save), F3 (open file), F5 (run), F7 (check), F8 (test), F9 (build), Esc (quit).
• Navigation: Use arrow keys for menus and F10 to open the menu bar.
• Text Manipulation: Ctrl+C (copy), Ctrl+V (paste), Ctrl+X (cut), Alt+X (delete line), Alt+U (duplicate line).

Menus and Mouse Use:

• Menus can be navigated with arrow keys or mouse clicks.
• You can create new files and projects through the File and Project menus.
• The project pane displays directories and editable Rust files, while compiler output appears at the bottom.

Overall, TRUST aims to bring back the feel of old-school programming while providing essential tools for Rust development.

TI-83 Plus BASIC Programming Tutorial Summary

This guide, written by Boris Cherny, is aimed at beginners who want to learn how to program on the TI-83 Plus calculator using BASIC. Here are the key points:

1. Getting Started: Before diving into programming, it's recommended to install several helpful applications on your PC, like TI Graph Link and an emulator, and have the necessary cables for connecting your calculator.

2. Basic Commands:

   • DISP: Displays text on the screen.
   • OUTPUT: Displays text at a specified location on the screen.
   • CLRHOME: Clears the current screen.
   • LBL/GOTO: Used for labeling frames and jumping back to them.
   • END/PAUSE: Ends loops or pauses the program until the user presses ENTER.
   • MENU: Creates a menu for user selections.
   • INPUT/PROMPT: Collects user input.

3. Variables: Variables are used to store values for easy reference and manipulation in programs.

4. Loops and Conditional Statements:

   • FOR Function: Repeats actions a set number of times.
   • WHILE Function: Continues until a certain condition is met.
   • IF, THEN, ELSE: Used for making decisions based on conditions.

5. Advanced Topics:

   • GETKEY: Captures button presses.
   • RAND, RANDINT: Generates random numbers.
   • Lists and Matrices: Used for storing multiple values.
   • Drawing Functions: Functions to create graphics on the screen, like circles and lines.

6. Challenges: The tutorial includes several programming challenges for practice, such as creating games and useful applications.

7. History and Updates: This tutorial has been updated multiple times to improve descriptions and add more functions.

Overall, this guide provides a comprehensive introduction to programming with the TI-83 Plus, with practical examples and challenges to enhance learning.

ZAYA1-8B is a new AI model from Zyphra that competes well in math and coding tasks, matching the performance of larger models like DeepSeek-R1 and Gemini 2.5 Pro, but operates with less than 1 billion active parameters. This model is noteworthy because it was trained entirely on AMD hardware, breaking the typical reliance on NVIDIA systems.

Key features include:

• Performance: ZAYA1-8B excels in math benchmarks, showing strong results against models with significantly more parameters. It uses a "mixture of experts" approach, activating only a portion of its 8.4 billion total parameters during tasks, making it efficient and competitive.
• Markovian RSA: This novel inference method allows the model to generate multiple reasoning paths simultaneously, enhancing its performance as more computational resources are allocated.
• Limitations: While ZAYA1-8B is impressive for math and coding, it struggles with complex instruction-following and general chat tasks, ranking lower in those areas compared to other models.

For those interested in trying ZAYA1-8B, it's available on Zyphra Cloud and can also be used locally, though it requires specific software adjustments. This model is particularly beneficial for users focused on math and coding tasks, highlighting a promising alternative in the AI hardware ecosystem.

Summary of the Study on Vortex Shedding in Cylinder Flow

Key Finding: The study shows that the frequency of vortex shedding in a 2D cylinder flow at a Reynolds number (Re) of 100 remains stable even when the simulation grid is significantly coarsened. Specifically, the Strouhal number (a measure of vortex shedding frequency) changes only slightly (by 2.5%) when reducing the grid size from 320,000 to 35,511 cells, resulting in a 37 times faster simulation time. The drag coefficient is consistent with existing literature across all grid resolutions.

Methodology:

• The research compared different grid sizes and measured the wall time, Strouhal number, and drag coefficient.
• Results showed that with coarser grids, the dominant flow characteristics remained intact, allowing for faster simulations without losing essential accuracy.

Implications:

• Reduced-order Modeling: Coarse simulations can still accurately represent key flow physics.
• Adaptive Mesh Strategies: Focus can be on areas where precision matters most, rather than on frequency, which is well-captured already.
• Sub-grid Model Design: Emphasis should be on recovering force magnitudes, as the frequency is largely dictated by the overall flow structure.

Motivation: This work is part of the Kinetic-Pressure Ballooning Model (KPBM) framework, which suggests that vortex shedding can be explained by geometric instabilities between different fluid regions. This study provides a benchmark for evaluating KPBM's enhancements.

Related Work: The research is related to other projects that utilize geometric diagnostics to preserve physics while reducing computational costs.

Repository Structure: The findings are documented in a structured repository, including the main paper, source code, figures, and results, allowing for easy reproduction of the study.

Results Summary:

• Fine Grid (DNS): St = 0.1333, Cd = 1.279, 320,000 cells, 2958s
• Coarse 2x: St = 0.1333, Cd = 1.325, 80,000 cells, 296s (10x faster)
• Coarse 3x: St = 0.1300, Cd = 1.302, 35,511 cells, 81s (37x faster)
• The frequency is well-preserved, but there is a moderate degradation in force amplitude.

Limitations:

• The absolute Strouhal number is lower than expected due to blockage in the geometry.
• The study focuses on 2D flows only and does not address higher Reynolds numbers or 3D vortex dynamics.

Author: Alika M. Parks, an independent researcher based in Hawaii.

The text discusses the use of language models (LMs) in developing software projects from scratch. These models can help create and manage code with little human help, but they need to make important design choices. Current tests only evaluate specific tasks like fixing bugs or adding features, so the authors introduce a new benchmark called ProgramBench. This benchmark assesses how well software agents can develop complete software systems based on a program and its documentation.

In ProgramBench, agents must build a codebase that behaves like a given reference program without strict guidelines on how to implement it. The evaluation includes 200 tasks, covering simple command-line tools to complex software like FFmpeg and SQLite. The study tested 9 different LMs and found that none of them successfully completed all tasks. The best-performing model could only pass 95% of tests on 3% of the tasks, and the models tended to produce large, single-file code rather than code structured like that written by humans.

Three contemporary Indian projects are creatively reinterpreting matchboxes, which have a rich cultural history in India.

1. Maachis: Founded by Sonal Nagwani, this project aims to transform matchboxes into collectible art pieces. Inspired by a matchbox archive, Maachis explores themes like social commentary, body positivity, and female autonomy through its designs. The boxes are crafted from wood and feature collaborations with various artists, aiming to push the boundaries of design by incorporating bold and layered storytelling.

2. Matchbox Comix by Studio Kokaachi: This project creates small comic stories packaged in matchboxes. The aim is to craft quirky narratives that appeal to both children and adults. The format serves as an accessible entry point to comics, breaking stereotypes about the medium. The team is redesigning the packaging for future volumes to reflect the stories they contain more vividly.

3. Matchbox Momentos by Harshit Agrawal: An interactive game that allows users to build their own matchbox art collection, this project combines personal and cultural memories. It uses visual data analysis to explore the historical significance of matchboxes in Indian culture, documenting social changes and trends over time. The project employs AI to reinterpret vintage matchbox aesthetics, aiming to engage younger designers with the rich history of matchbox art.

These projects highlight how matchboxes can serve as powerful tools for storytelling and cultural reflection, showcasing the evolution of Indian design and social narratives.

Summary of Permacomputing Principles

Permacomputing is an approach that promotes sustainable digital practices, guided by ten principles inspired by permaculture’s core ethics: Earth Care, People Care, and Fair Share. These principles aim to reduce the environmental and social impacts of technology for all users, from tech experts to casual users.

1. Hope for the Best, Prepare for the Worst: Design systems to be resilient and adaptable, reflecting on the potential limitations of resources and the need for creative solutions.

2. Care for All Hardware: Recognize the environmental impact of hardware production, especially microchips, and extend the lifespan of devices to reduce e-waste.

3. Observe First: Before acting, assess the situation to understand existing relationships and determine if technology is necessary for addressing specific problems.

4. Not Doing: Embrace the idea of "not doing" to reduce resource use and question the need for certain technologies, promoting resistance against unnecessary consumption.

5. Expose The Seams: Understand the inner workings of technology to foster critical engagement and ensure transparency, while being mindful of privacy.

6. Consider Simplicity, Complexity, and Scale: Strive for simplicity in systems to reduce energy use, but recognize that some problems are complex and may not have simple solutions.

7. Keep It Flexible: Design systems that can adapt to different circumstances, balancing simplicity with the need for flexibility.

8. Build On Solid Ground: Use mature, well-understood technologies to minimize obsolescence and ensure long-term usability.

9. (Almost) Everything has a Place: Embrace the idea that most technologies can be repurposed, fostering creativity and diverse computing practices.

10. Integrate Biological and Renewable Resources: Aim for sustainable practices in digital technology to minimize ecological impact and explore more ethical supply chains.

These principles serve as a starting point for fostering a more sustainable and equitable relationship between technology and ecology, encouraging ongoing development and adaptation within the permacomputing community.

Summary of Agent Harness Kit (AHK) v0.18.0

The Agent Harness Kit (AHK) is a tool designed to automatically set up a multi-agent system for projects, offering features such as SQLite state management, health checks, and coordination rules. Here are the key points:

1. Installation: You can start by running the command npx @cardor/agent-harness-kit init in your project directory.

2. Configuration: You will answer three questions about your project: its name, the provider (either Claude Code or OpenCode), and the agents to use.

3. Generated Infrastructure: After configuration, the tool will create necessary files and resources, including a SQLite database and configuration files.

4. Agent Roles: The system has four specialized agents:

   • Leader: Coordinates tasks among agents.
   • Explorer: Reads and understands the code.
   • Builder: Writes code and tests.
   • Reviewer: Validates completed tasks.

5. Features:

   • SQLite as the main data source.
   • Dashboard for monitoring.
   • Support for both Claude Code and OpenCode.
   • TypeScript configuration with type safety.
   • Future integrations planned (e.g., Jira, Linear).

6. Roadmap: Many features are already available, and there are plans for additional integrations.

For more information, you can visit the documentation or GitHub page.

The author discusses their experience with traffic to their blog, noting that more visitors come from RSS feeds than from Google. They have not focused heavily on SEO techniques but still attract a good amount of traffic. By tracking where their visitors come from, they found that subscriptions to their RSS feed and newsletter contribute around 25% of their total traffic. The author enjoys seeing people subscribe to their blog and appreciates the engagement from readers, highlighting the difference between visitors searching for content and those who choose to follow their blog. They also mention having both Atom and RSS feeds and consider merging them but currently find it easy to maintain both formats.

Summary of Diskless Linux Boot Using ZFS, iSCSI & PXE

Motivation: The author wanted to test new models on their gaming PC without disrupting their Windows setup or dealing with the complexities of maintaining dual-boot configurations. They opted for a diskless boot method using remote drives and PXE (Preboot Execution Environment) to avoid issues with USB drives.

Limitations: Installing Debian on a network drive will be slower than a local install, but sufficient RAM mitigates performance concerns for their use case.

Setup Assumptions:

• Using a Debian server for Netboot.xyz, TFTP, iSCSI, and ZFS.
• Proxmox is used for virtualization, with an Asus router for DNSMasq configuration.

Installation Steps:

1. Install & Configure Netboot.xyz:

   • Install required packages and clone the Netboot.xyz repository.
   • Edit configuration files to tailor the installation and set up boot options.

2. Configure TFTP:

   • Set up the TFTP server with appropriate configurations and copy compiled binaries.

3. Configure DNSMasq:

   • Redirect DHCP requests to the TFTP server using the router’s DNSMasq settings to support both legacy and UEFI clients.

4. ZFS ZVOL Creation:

   • Create a ZFS pool and a ZVOL for use as a storage device.

5. iSCSI Configuration:

   • Export the ZVOL as an iSCSI target, setting up necessary authentication and access control.

6. Install Debian:

   • Boot from the custom netboot menu and proceed with the Debian installation.
   • Configure iSCSI settings during installation to connect to the iSCSI target for storage.

The overall process allows the author to run a Linux environment on their gaming PC without interfering with their Windows system, leveraging network booting and storage technologies.

Valve has released CAD files for the Steam Controller, allowing modders to create their own accessories like skins and mounts. These files include designs for the controller's outer shell and important engineering diagrams. The release is under a Creative Commons license that permits non-commercial use and requires credit to Valve, although businesses can contact Valve for commercial opportunities. This move follows similar past releases for other Valve products, such as the Steam Deck.

The author discusses a conversation about AI coding tools and the growing overlap between "vibe coding" and "agentic engineering."

• Vibe Coding vs. Agentic Engineering: Initially, vibe coding was viewed as a less responsible way to code, where users might not understand code quality and simply ask for a coding result. In contrast, agentic engineering involves skilled software engineers who focus on quality and reliability. However, the author now feels these concepts are blending, causing discomfort as they increasingly rely on AI tools without reviewing the code they produce.

• Concerns About Code Quality: The author expresses guilt for using AI-generated code without thorough review, especially since AI lacks accountability. They draw parallels to trusting other teams in an organization based on past performance rather than verifying every detail.

• Changing Evaluation of Software: The author notes that it's harder to gauge the quality of software now, as AI can quickly generate projects that appear polished but may lack genuine care. They emphasize the importance of real-world use over superficial quality indicators.

• Evolving Software Development: The efficiency of AI tools shifts the software development process, making traditional methods less applicable and potentially allowing for riskier design approaches.

• Job Security in Software Engineering: The author feels secure in their career, believing that while AI tools enhance productivity, creating software remains a complex challenge that requires human expertise. They prefer using professionally managed software over relying on less tested solutions.

In conclusion, while AI tools are transforming coding practices, the author highlights the importance of experience, quality, and accountability in software development.

Summary of Chevrolet Performance eCrate Package

Overview: Chevrolet Performance has introduced the eCrate package, a system designed for converting traditional combustion engine vehicles to electric power. It includes all necessary components for such conversions.

Key Features:

• Power Output: Generates 200 horsepower (400V) and 266 lb-ft of torque.
• Battery: Comes with a 66 kWh lithium-ion battery.
  • Dimensions: 71.1 in. long, 50.2 in. wide, and weighs 947 lbs.
  • Charging Options: Compatible with Level 1 (120V), Level 2 (240V), and Level 3 DC Fast Charging (480V).

Legal Status:

• The eCrate system is street legal in all 50 states when installed as per CARB regulations.

Installation:

• Must be purchased through an Authorized Installer. A list of installers will be available on the Chevrolet website soon.

FAQs:

• Is it street legal? Yes, when installed correctly.
• Transmission Requirement: Requires a GM 4-speed automatic transmission.
• Manual Transmission: Not currently supported.
• Horsepower Modification: The system is locked and cannot be modified for increased horsepower.

Support: For more details or support, you can visit the Chevrolet Performance website or contact their sales team via email.

The author shares their experience of switching from a Mac to a Lenovo Chromebook due to dissatisfaction with Apple's Liquid Glass and software issues, despite loving their hardware. After receiving feedback from others who made similar switches, they sought a laptop with performance comparable to Apple's M-series chips. They discovered the Lenovo Chromebook Plus 14, which features a strong Mediatek chip and has a high-quality design, similar to a MacBook.

The Chromebook is lightweight, has a good trackpad, and offers excellent battery life (10-12 hours). The author highlights that software performance largely depends on personal preferences and workflow. They find that the Chromebook handles web apps, including coding and design tools, very well.

The operating system supports Progressive Web Apps and Android apps, improving sync features with Android devices. The author praises a coding app called Zed, which now works efficiently on Chromebooks.

While they note a minor issue with the Signal app on Linux, they are optimistic about their switch. The author encourages others frustrated with Apple to consider moving to a Chromebook, suggesting the experience can be positive.

To travel the longest route on the NYC Subway without repeating any stations, start at Pelham Bay Park. Make sure to transfer before reaching the end of the line and begin at a different starting station each day. This concept is by Logan Williams.

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Summary:

In the workplace, the use of AI tools, particularly generative AI, has led to significant challenges. Parkinson's Law suggests that work expands to fill available time, and now, with AI, this expansion can happen without limits. Many employees are using AI to produce work that appears professional, even when they lack the necessary expertise, which can create two main issues:

1. Novices producing expert-like work: Inexperienced workers can generate outputs that look advanced, misleading others about their actual skills. For example, a colleague spent months building a data system without formal training, creating extensive documentation that seemed impressive but was fundamentally flawed.

2. Cross-domain generation: People without relevant training are tackling tasks in unfamiliar fields, leading to errors that could go unnoticed due to the AI's ability to generate convincing outputs. The relationship between a worker's competence and the quality of their work has become disconnected, meaning novice outputs no longer reflect their true skills.

The proliferation of AI-generated documents has also led to unnecessary complexity, with reports and updates becoming longer and harder to digest. This "AI slop" is costly because it wastes time and resources, while the quality of work suffers.

To address these issues, it’s recommended to use AI wisely, applying it to tasks where output can be easily verified, and ensuring that humans maintain judgment over the work produced. Firms that prioritize trust and quality in their outputs will have a competitive edge, while those that rely too heavily on AI may find themselves in trouble when clients notice the decline in quality.

Overall, while AI can enhance productivity, it also poses risks if not used judiciously, as it can lead to overconfidence and a lack of accountability.

The future of social media seems bleak, as it continues to splinter and potentially become toxic. Research by Petter Törnberg highlights that the structure of social media inherently leads to problems like echo chambers and the amplification of extreme views. Despite various proposed solutions, Törnberg believes that the fundamental issues are deeply rooted in the design of these platforms.

His recent studies show that echo chambers can form even without algorithms pushing users toward certain viewpoints. Interestingly, he found that "filter bubbles," often blamed for creating homogeneity, might actually help stabilize diverse opinions within communities. A small percentage of users sharing similar views can foster a more tolerant environment.

Törnberg's analysis of social media usage trends indicates a decline in engagement on traditional platforms like Facebook and Twitter, partly due to the rising influence of AI bots. Meanwhile, platforms like TikTok are gaining popularity, signaling a shift from text-based to video-based interactions.

He identifies three emerging types of online platforms: private group chats, algorithmic broadcasting (like TikTok), and interactions with AI chatbots. While private spaces might seem to foster community, they can also lead to echo chambers due to their non-local nature.

Törnberg emphasizes the need for responsible design and democratic systems to reshape online spaces positively. He believes it's possible to create environments where users can find like-minded individuals while remaining open to diverse opinions. However, finding effective solutions to achieve this remains a complex challenge.

Summary:

Will Angel shared his experience of buying a used camper van named "Crayola" after the rental company Escape Camper Van went out of business. He and his wife purchased the 2012 Ford Econoline for about $4,300, feeling it was a good deal for a reliable vehicle. They made some basic repairs and upgrades to the van's interior, which included building a new table and adding a few personal touches.

They enjoyed using the van for trips around California while preparing for a naturalist certification before starting jobs with the Forest Service. Angel noted that the van brought a sense of adventure and comfort, serving as a home base for their travels.

However, they ultimately decided to downsize to a single car, leading to the difficult decision to sell the van. Angel expressed fondness for Crayola and felt satisfied with the care they gave it. He hoped the van would continue on to a happy next chapter with its new owner.

Google Cloud has launched Fraud Defense, an advanced platform aimed at enhancing security in the evolving online environment where AI agents interact with users. This platform improves upon reCAPTCHA by providing tools to verify the legitimacy of bots, humans, and AI agents.

Key features of Fraud Defense include:

1. Activity Measurement: A dashboard to monitor and analyze interactions on websites, helping businesses understand the behavior of both human and AI agents.

2. Policy Engine: This allows businesses to manage and control user interactions based on risk levels and agent identities throughout the customer journey.

3. AI-resistant Challenges: To combat fraud, it introduces a QR code challenge that requires human verification when suspicious activity is detected.

Fraud Defense aims to simplify user experiences while providing robust protection against evolving threats, particularly as fraud tactics become more sophisticated. By leveraging Google's extensive fraud intelligence, it helps identify threats before they impact businesses, secures the entire customer journey, and minimizes friction to support business growth.

Existing reCAPTCHA users will automatically benefit from Fraud Defense without needing to make changes. Google encourages businesses to explore these new capabilities and learn more at their upcoming event, Next ‘26.

Summary of Agent Skills Eval

Agent Skills Eval is a testing tool designed to evaluate the effectiveness of skills for AI agents. By using this tool, developers can create a SKILL.md file, add evaluation tests, and empirically determine if their skill improves the agent's performance on specific tasks.

Key Features:

• Comparison Testing: It tests skills by running the same prompts with and without the skill loaded, allowing users to see the impact of the skill.
• Judge Model Grading: Outputs are assessed by a judge model, providing a clear pass/fail result based on defined criteria.
• Easy Setup: Users can quickly start testing their skills using a simple command line interface.
• Comprehensive Reporting: The tool generates a detailed HTML report showing test results, including performance comparisons and grading evidence.
• Compatibility: Works with various AI models and is compliant with the agentskills.io specification, ensuring flexibility and standardization.

Installation and Usage:

• Install via npm or run without installation using npx.
• Users can configure tests through a YAML file for more complex setups.

Skill Structure: A skill consists of a folder with a SKILL.md file and an optional evals.json for assessments.

Development and Contributions: The project is open for contributions, with full documentation available for guidance.

Overall, Agent Skills Eval facilitates the development and validation of AI skills, ensuring they function effectively in real-world applications.

In 2023, Val Town transitioned from using Supabase to a more traditional database and authentication setup, choosing Render for the database and Clerk for authentication. However, by late 2023, they faced issues with Clerk and eventually switched to Better Auth in 2026.

Clerk had some significant drawbacks, particularly its rate limits and reliability issues. It was designed to manage both user data and sessions, which caused complications for Val Town, especially since it heavily relied on social features. Users often experienced delays and confusion during sign-up and session management due to Clerk's limitations. Moreover, any outages with Clerk impacted the entire website, making it unusable for logged-in users.

Despite these challenges, Clerk had some advantages, such as good SDK support and ease of use for simpler applications. However, finding a better authentication solution was crucial, leading Val Town to Better Auth, which offered high code quality and independence from a third-party service. Better Auth has proven to be a better fit for Val Town's needs, allowing for greater control over user data and sessions.

Overall, the experience highlighted the importance of understanding the risks associated with third-party services and finding solutions tailored to specific requirements.

A recent legal issue involving LinkedIn may set an important precedent in Europe regarding user data rights. LinkedIn allows premium users to see who has viewed their profiles, but free users receive limited information. One free user requested their complete profile viewer data under GDPR Article 15, which grants individuals access to their personal data. LinkedIn denied this request, claiming data protection took precedence.

The EU privacy group Noyb is now involved, arguing that users have the right to access their own data without charge, regardless of LinkedIn's business model. Noyb's lawyer stated that the law is clear: if a company processes personal data, users should have access to it, even if it affects the company's profitability.

The case highlights the tension between user rights and companies' desires to monetize data. Noyb hopes this case clarifies that users can access data even if it is normally provided only to paying customers. This situation is not unique to LinkedIn, as similar issues arise with other companies, such as banks, that charge for access to personal data. A favorable ruling could lead to broader implications for user data rights across various industries.

In a digital era, pen pal programs are still thriving. Holly Ramer, an Associated Press reporter, has been exchanging handwritten letters with her New Zealand pen pal, Molly Nunns, for 40 years. Their friendship began when they were matched by a now-defunct organization, and despite changes in postal services, the demand for pen pals remains strong.

Rachel Syme created a successful pen pal initiative during the COVID-19 pandemic, attracting over 15,000 participants, showing that many people, especially younger generations, enjoy the tactile experience of writing letters. Schools are also embracing pen pal projects, fostering connections among students.

Modern technology has introduced apps like Slowly, which simulates the anticipation of traditional letter writing by delaying message delivery. However, many still prefer the charm of physical letters, which offer a deeper emotional connection. Ramer reflects on her long friendship with Nunns, emphasizing the unique bond they’ve built through their letters, culminating in memorable in-person meetings.

Overall, the article highlights the enduring appeal of pen pals in a fast-paced digital world, emphasizing the joy and connection they bring to people's lives.

Halupedia is a unique online encyclopedia that focuses on topics often ignored by mainstream sources. It includes a wide range of subjects such as historical events, scientific fields, geographic features, and cultural phenomena. Articles are created on demand and saved permanently when first requested.

Key features include:

• Equal treatment of all topics, regardless of their popularity or awareness.
• Standard article structure with citations from scholarly sources.
• Users can click on linked terms to access related entries and explore new topics through a "Stumble" feature for random articles.

Some suggested topics include:

• The Great Pigeon Census of 1887, aimed at counting pigeons in Vienna.
• The Ministry of Slightly Wrong Maps, which produced maps with intentional minor inaccuracies.
• The National Library of Unfinished Books, for works left incomplete by authors.

Halupedia is characterized by minor inconsistencies between entries, which are accepted as part of its nature. Overall, it offers a treasure trove of information on lesser-known subjects.

CrossPoint Reader Summary

CrossPoint Reader is an open-source firmware for the Xteink X4 e-paper display reader, created independently from Xteink. It is designed to enhance the EPUB reading experience and allow for more customization compared to the official firmware.

Key Features:

• Supports EPUB 2 and EPUB 3 with image handling.
• Saves reading positions and has a file explorer with cover art display.
• Allows for customizable fonts, layouts, and display options.
• Enables WiFi upload of books and over-the-air updates.
• Integrates with KOReader for syncing reading progress across devices.
• Offers multi-language support for various languages.

Installation: You can easily install CrossPoint Reader via a web interface or command line instructions. There are options for flashing the latest firmware or specific versions.

Development: Developers need to use PlatformIO and Python for building and flashing the firmware. The project encourages contributions and offers guidelines for getting started.

Internal Functionality: CrossPoint Reader efficiently manages data caching to minimize RAM usage, crucial given the limited memory of the ESP32-C3 microcontroller.

Contribution: The project welcomes contributions from the community and provides a structured process for submitting changes.

In essence, CrossPoint Reader is a community-driven project that aims to unlock and enhance the capabilities of the Xteink X4 e-paper reader, making it a more flexible and user-friendly device for reading EPUB files.

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Summary of Tilde.run

Tilde.run allows users to safely run AI agents in production by making every operation reversible. It combines code from GitHub, data from S3, and documents from Google Drive into a single, versioned filesystem. Key features include:

1. Reversibility: Any agent run can be rolled back with a single command, ensuring no permanent changes are made unless approved.

2. Isolation: Each run occurs in a secure, isolated environment, preventing unwanted access and ensuring that all network calls are monitored and logged.

3. Audit Trail: Users can track all actions taken by agents, including what changes were made and by whom, enabling full accountability.

Tilde easily integrates with existing tools and allows for quick agent execution through a command-line interface or Python scripts, making it user-friendly for developers. The system is built on the foundation of lakeFS, a trusted data versioning tool.

Overall, Tilde.run provides a safe and efficient way to utilize autonomous code with control over data and operations.

Donald Trump often makes announcements related to the Iran War that coincide with large, profitable trades in the oil market. Recently, nearly $920 million in oil futures were sold shortly before a report suggested the US was close to a deal to end the war. This trade led to a significant drop in oil prices, allowing traders to profit quickly. Such patterns of trading, where large traders seem to have advance knowledge of news, indicate possible insider trading.

This situation raises concerns about corruption and the integrity of the oil futures market, which is meant to help stabilize prices for buyers and sellers. If traders suspect they are at a disadvantage due to insider information, they may avoid participating in the market, leading to inefficiencies and broader economic harm. Ultimately, this trend contributes to a "predation economy," where success relies more on connections than merit, which can hinder economic growth and societal fairness.

Unsloth and NVIDIA have collaborated to make training large language models (LLMs) approximately 25% faster without sacrificing accuracy. Here are the key points from their findings:

1. Caching Packed Sequence Metadata:

   • By caching metadata (like sequence lengths and offsets) for packed sequences, training can be sped up by 14.3%. This avoids repeated work across different layers of the model.

2. Double-Buffered Checkpoint Reloads:

   • This method allows the training process to overlap data copying and computation, resulting in an 8% speed increase for various model sizes (8B, 14B, and 32B). It effectively reduces wait times by using two buffers instead of one.

3. Optimized MoE Routing:

   • In the GPT-OSS framework, a new approach to routing tokens to experts can improve speed by 10-15%. It minimizes dynamic indexing overhead by processing expert assignments more efficiently.

Overall, these optimizations focus on reducing unnecessary work and improving parallel processing, leading to significant gains in training speed for LLMs.

The essay "The Old Guard" by Samuel Moyn addresses the issue of gerontocracy in America, where older leaders dominate political and economic spheres, often to the detriment of younger generations. Drawing on the Greek myth of Tithonus, Moyn illustrates how society prolongs life without ensuring vitality, leading to a growing population of elderly individuals in positions of power.

Key points include:

1. Aging Leadership: The median age of Congress has increased significantly, with many older politicians exhibiting cognitive decline. This situation raises concerns about their ability to represent a younger, diverse electorate.

2. Political Disengagement: Younger voters feel alienated from a political system dominated by older leaders, leading to lower participation rates in elections. This age gap diminishes trust in democracy and results in governance that may not reflect the needs of younger constituents.

3. Wealth Disparity: Older Americans control a disproportionate amount of wealth, which influences political priorities. Many policies favor the elderly, perpetuating economic inequalities between generations.

4. Influential Organizations: Groups like the AARP wield significant political power, often prioritizing the interests of older adults over the needs of younger populations, which further entrenches gerontocracy.

5. Crisis of Renewal: The dominance of the elderly in leadership roles stifles innovation and hinders progress, leading to a stagnation in addressing long-term societal issues.

6. Call for Reform: Moyn argues for antigerontocratic reforms that would allow for the transfer of power and resources from older generations to younger ones, emphasizing the need for a fairer and more balanced political and economic system.

The essay concludes that to foster progress and equity, society must confront and dismantle the structures of gerontocracy while ensuring dignity and support for the elderly.

In the UK, the word "sorry" is more than just an apology; it’s a key part of British culture. Brits say "sorry" about nine times a day, using it to soften requests, ease awkward situations, and avoid appearing rude. Here are the main ways "sorry" is used:

1. In Public: When bumping into someone, saying "sorry" is a way to acknowledge the shared space rather than assigning blame. It’s about social harmony.

2. Asking for Repeats: The phrase "sorry?" can mean "I didn’t hear you" or "I need a moment to understand." It's a polite way to request clarification.

3. Making Requests: Saying "sorry, can I just…" is a way to ask for something while minimizing the speaker's presence, showing British self-effacement.

4. Indirect Objections: The phrase "Oh, sorry…" often precedes a polite objection, allowing someone to express a disagreement without sounding confrontational.

5. Disagreeing Politely: "Sorry, but…" prepares the listener for a contradiction while still maintaining civility in conversation.

6. Etiquette Reminders: In queues or pubs, saying "sorry…" can serve as a gentle reminder to adhere to social rules, like waiting your turn.

Overall, "sorry" serves as a versatile tool in British communication, helping to navigate social interactions while avoiding direct conflict. Understanding these nuances can enhance communication for visitors to the UK.

The article discusses the research of biophysicists Nico Schramma and Mazi Jalaal on chloroplasts, the organelles in plant cells that convert sunlight into sugars. Chloroplasts must balance the need for sunlight with protection from intense light. To do this, they move around within the plant cell, optimizing their packing to absorb light efficiently while being able to hide when light is too strong.

The researchers studied the common aquarium plant Elodea, observing that chloroplasts self-organize into a mathematically optimal arrangement. This allows them to densely pack at the cell surface for maximum light absorption but also provides enough space for movement when avoiding excess light.

Using a combination of experiments and computer simulations, they found that chloroplasts achieve an optimal packing density, allowing the cells to adapt to changing light conditions. This packing behavior suggests that chloroplasts have evolved to maximize their efficiency in photosynthesis.

While the researchers believe this packing is an evolutionary adaptation, further studies on different plant species are needed to confirm whether this is a universal trait or specific to Elodea. The findings highlight the intricate relationship between biology and physics in understanding how plants adapt to their environments.

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A customer asked how to open a file in text mode rather than binary mode in Windows, so that text conversions can occur, like adding carriage returns before linefeeds or converting ASCII to Unicode. However, Windows treats all files as binary and does not distinguish between binary and text files.

If you need text conversions, you typically use a higher-level library, like the C runtime. You can open a file in "w" mode for text or "wb" mode for binary, which tells the library how to handle the file. The library manages the necessary transformations before sending the data to Windows, which does not perform any additional changes.

There was a mention of an old MS-DOS command for setting device modes, but it only applies to character devices, not disk files. The current Windows equivalent for console settings is the SetConsoleMode function. Overall, if you need to handle file content transformations, you must do it yourself or rely on a library to assist you.

Summary of "A Theory of Deep Learning" by Elon Litman

Elon Litman's paper discusses the complexities and mysteries of deep learning, drawing parallels to Borges's story about a man, Funes, who can remember everything but struggles to think. This highlights the challenge of understanding deep learning, where models can memorize vast amounts of data yet still generalize well, which contradicts traditional statistical learning theories.

Key points include:

1. Benign Overfitting: Deep learning models can perfectly fit training data (including noise) yet still perform well on test data, a phenomenon called benign overfitting that defies classical expectations.

2. Double Descent: As model complexity increases, test error initially rises and then falls again, forming a double descent curve rather than the expected U-shape.

3. Implicit Bias: Gradient descent in training tends to favor solutions that generalize well, often learning simpler patterns before more complex ones.

4. Grokking: This refers to the phenomenon where a model first memorizes the training set and later learns to generalize, often after a long training period.

Litman proposes a new approach to understand deep learning by analyzing neural networks as dynamic systems rather than focusing solely on their parameters. This involves studying how predictions evolve over time and using the empirical Neural Tangent Kernel (eNTK) to track changes in error and learning.

The theory offers solutions to existing problems in deep learning and suggests that current training methods are inefficient. It also emphasizes the potential for developing smaller models that maintain the benefits of larger ones by effectively managing noise in the data.

Overall, Litman’s work aims to unify various puzzles in deep learning and proposes a more efficient framework for training neural networks, focusing on generalization rather than mere memorization.

Google Chrome has been found to silently install a 4 GB artificial intelligence (AI) model, named Gemini Nano, on users' devices without their consent. This model, which is used to enhance various AI features in Chrome, is stored in a directory called OptGuideOnDeviceModel and is automatically downloaded when AI functionalities are activated in Chrome—features that are enabled by default in recent updates.

Key issues highlighted include:

1. Lack of Consent: Users are not informed or asked for permission before the AI model is downloaded. There is no notification during the installation process, and the model automatically reinstalls itself if deleted.

2. Environmental Impact: At a large scale, the installation of this AI model could result in significant carbon emissions, estimated to be between 6,000 and 60,000 tonnes of CO2-equivalent emissions depending on how many devices receive the download.

3. Legal Violations: This behavior potentially violates EU privacy laws, including the ePrivacy Directive and GDPR, which require user consent for storing data on their devices.

4. Difficult Removal Process: Removing the AI model is complicated, requiring users to navigate hidden settings and disable features, which is not user-friendly.

5. Misleading AI Features: The prominent "AI Mode" feature in Chrome may give users the false impression that their queries are processed locally, when in fact they are sent to Google’s servers.

The article argues that Google should have explicitly asked for user consent before downloading the model, allowed downloads only when users activate the AI features, and provided clear documentation about the storage and environmental impacts associated with the AI model. The author calls for better transparency and respect for user preferences regarding software installations.

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Ted Turner, the founder of CNN and a prominent media figure, passed away at the age of 87. He died peacefully surrounded by family. Turner revolutionized television news with CNN, the first 24-hour news network, launched on June 1, 1980. Born in Cincinnati, Ohio, he built a vast media empire that included cable's first superstation and various popular channels.

Aside from his media ventures, Turner was a passionate philanthropist, activist for nuclear disarmament, and conservationist, notably helping to reintroduce bison to the American West. He created the Captain Planet cartoon to promote environmental education for children.

Turner's early life was marked by family tragedy, including his father's suicide when he was 24, which led him to take over the family business. He gained fame for his innovative approach to broadcasting, expanding his network to include sports and entertainment channels. He sold his company to Time Warner in 1996 but remained influential in media.

Despite personal challenges, including a high-profile marriage to actress Jane Fonda, Turner continued to focus on philanthropy, donating significant sums to the United Nations and leading initiatives for conservation. He is remembered as a groundbreaking figure in media and a committed environmentalist, leaving behind a legacy that includes his five children and numerous grandchildren.

Summary: Learning the Integral of a Diffusion Model

This text discusses the process of sampling from diffusion models and introduces a new method called flow maps that can speed up this sampling.

1. Diffusion Models: Sampling from these models involves iteratively estimating the direction to move in a path from noise to data. Each step gradually transforms noise into meaningful data.

2. Flow Maps: These are a new approach that can directly predict any point on a path, making the sampling process faster and more efficient. Unlike traditional methods that predict only the tangent direction, flow maps can jump between points on the same path.

3. Training Flow Maps: There are various ways to build and train flow maps, often leading to confusion due to different terminologies in the literature. The author aims to clarify these concepts.

4. Consistency Rules: Flow maps rely on three consistency principles—compositionality, Lagrangian consistency, and Eulerian consistency. These rules help ensure that the flow maps function correctly and can be enforced during training.

5. Loss Functions: The author describes how to create loss functions based on these consistency rules to train flow maps, ensuring they learn to accurately represent the relationships between noise and data.

6. Backpropagation Considerations: The text highlights some challenges in training flow maps, such as the need for higher-order derivatives and the potential complications from self-referential loss functions.

7. Training from Scratch: The author discusses how flow maps can be trained from scratch using self-distillation, where the model learns from its own predictions rather than relying solely on pre-trained models.

8. Practical Implementations: The article concludes with a brief overview of existing methods for implementing flow maps and their applications in improving the efficiency of diffusion models.

Overall, the text emphasizes that flow maps offer a promising alternative to traditional sampling methods in diffusion models, making the process faster and potentially more efficient through advanced training techniques.

In this blog post, the author shares their experience setting up a Sun Ray server using OpenIndiana Hipster 2025.10. They provide a detailed guide on configuring a Proxmox virtual machine (VM) and installing the necessary software.

Key Steps:

1. VM Setup: The author outlines the correct configuration for the VM, including settings for disks, CPU, memory, and network.
2. Installation: They recommend using the OpenIndiana Hipster 2025.10 Live DVD for installation and provide tips on resolving common installation issues, like a terminal color problem.
3. System Update: Before installing Sun Ray Server Software (SRSS), it's essential to update the system and enable the hipster-encumbered repository.
4. SRSS Installation: The author guides on installing the SRSS package and necessary dependencies, including Java and Apache Tomcat, from the supplemental directory of the SRSS package.
5. Patching: Instructions are given for applying patches to make the server compatible with OpenIndiana.
6. Configuration: The initial configuration of SRSS is detailed, including setting up administration options and enabling connections for Sun Ray clients.
7. Client Connection: The post explains how to configure Sun Ray clients to connect to the server, including DNS setup and menu navigation on the client devices.
8. Firmware Setup: The author describes how to extract firmware from another package and set up TFTP for the Sun Ray Desktop Units (DTUs).
9. Web Administration: Finally, they explain how to access the Sun Ray web administration interface to manage connected clients.

The author acknowledges previous mistakes in their guidance and aims to provide clearer instructions for users looking to set up Sun Ray servers. They also hint at a follow-up post to cover mobile sessions and virtual clients.

This post is about creating a new text editor called "yvi," inspired by the Vi text editor. The author enjoys building things from scratch, which helps them learn and customize tools to fit their needs. They have a background in art and prefer programming languages that are less mainstream, like BASIC.

After spending time researching BASIC, particularly the Yabasic dialect, the author decided to create their own simple text editor. They aimed to implement basic Vi commands and features without making the program too complicated. In about 100 lines of code, they built a minimal editor that allows basic navigation, file opening, and saving.

As they developed yvi, they added more features, including word navigation, line deletion, and a search function, eventually expanding the program to around 500 lines of code. While it has some bugs and isn't ready for critical use, the author finds it useful for writing and coding projects. They feel proud of their creation, which they believe is the only Vi clone written in BASIC.

The project is available for others to try on GitHub and Tildegit.

Agents can now easily create Cloudflare accounts, purchase domains, and deploy applications on behalf of users without needing human intervention for most tasks. This new capability allows agents to handle the entire process, including setting up an account, subscribing to services, registering domains, and obtaining API tokens to deploy code seamlessly.

To use this feature, agents need to install the Stripe CLI with the appropriate plugin and login to their Stripe account. They can then quickly prompt the agent to build and deploy an application. If the user doesn't have a Cloudflare account, one will be created automatically. If they do, a standard authorization flow will grant access.

This process is facilitated by a collaboration between Cloudflare and Stripe, which introduces a new protocol that simplifies service discovery, user authorization, and payment handling. Users can set spending limits to avoid excessive charges from their agents.

Overall, this integration streamlines the deployment process for developers, allowing them to focus on building applications without getting bogged down by setup and configuration steps. Any platform with signed-in users can utilize this integration to enhance their services with Cloudflare’s capabilities.

The article discusses the dangers of economic bubbles, particularly in the context of recent events like the AI and cryptocurrency bubbles. The author, Cory Doctorow, argues that while some bubbles may leave behind useful remnants, like infrastructure from Worldcom, the overall effect is harmful, primarily benefiting dishonest insiders at the expense of everyday investors.

He compares the legacies of Enron, which left little of value behind, to Worldcom, which provided lasting fiber optic infrastructure. Doctorow warns that the current AI bubble, similar to past bubbles, will likely collapse and devastate the stock market, harming ordinary people who have invested their savings.

Despite acknowledging that some useful technology might emerge from the AI bubble, he emphasizes that the social cost of these bubbles is too high. The article concludes that bubbles are mechanisms for transferring wealth from hardworking individuals to fraudsters, making them fundamentally unjust. Doctorow calls for a swift end to the AI bubble to prevent further damage.

This text outlines various email templates that can be created for different purposes, such as:

• Product Launch: Announcements featuring the product's hero image, key features, and a call to action (CTA).
• Newsletter: A weekly summary with highlighted articles and links.
• Welcome Email: Steps to onboard new users.
• Order Confirmation: A summary of purchased items and shipping details.
• Event Invitation: Information about the event, including date, time, and RSVP details.
• Password Reset: A simple email with a link to reset the password.
• Black Friday Sale: Promotional email with product suggestions and discount codes.
• Start from Scratch: An empty template for custom designs.

It also mentions that users can easily import existing templates from BeeFree, Unlayer, or HTML, with features like block mapping and layout handling. Additionally, it highlights the benefits of using a cloud platform, including real-time collaboration, AI writing assistance, version history, template scoring, and a media library.

MIT engineers have developed a new tool called the "computational violin" that simulates the sound of a violin based on physics. This tool can help violin makers, or luthiers, design instruments and hear how changes to the design will affect the sound before they start building. Unlike existing software that uses recorded sounds from real violins, this simulation produces sound by modeling how the violin and its strings interact with air.

Currently, the tool can simulate the sound of plucked strings, known as “pizzicato.” The researchers hope to eventually include bowing techniques as well. This approach allows luthiers to experiment with different materials and dimensions virtually, making the design process faster and less expensive.

The researchers used CT scans of a Stradivarius violin to create a detailed 3D model, breaking it down into millions of tiny elements to understand how they interact and produce sound. By changing factors like wood type or body thickness in the simulation, luthiers can hear the differences in sound.

This innovative model represents a significant step in understanding violin acoustics and could greatly aid in the design of new violins.

StarFighter Laptop Overview:

• Performance and Design:

  • Full-size Linux laptop made with premium materials.
  • Features a haptic trackpad and open firmware options.
  • Suitable for demanding tasks.

• Specifications:

  • Powered by Intel® Core™ Ultra or Ryzen™ 9 processors.
  • Up to 64 GB of 7500MT/s LPDDR5X memory.
  • 16-inch display with 3840x2400 4K resolution, 120 Hz refresh rate, and 625cd/m² brightness.
  • Long battery life of up to 18 hours.

• Display Features:

  • True matte finish for reduced glare.
  • 16:10 aspect ratio for better productivity.
  • Wide viewing angles and flexible 180° hinge.

• Webcam and Privacy:

  • Removable webcam with a magnetic connector for privacy.
  • Built-in storage in the laptop for easy storage of the webcam.

• Connectivity:

  • Includes WiFi 6E, Bluetooth 5.3, multiple USB-A and USB-C ports, HDMI, and a micro SD slot.
  • Thunderbolt™ 4 support for fast charging and data transfer.

• Keyboard and Trackpad:

  • Backlit keyboard with media keys and function lock.
  • Large haptic trackpad that simulates clicks with pressure sensitivity.

• Durability and Customization:

  • Coated with Plasma Electrolytic Oxidation (PEO) for added durability and fingerprint resistance.
  • Open-source firmware for extensive customization options.

• Charging and Updates:

  • Compact Gallium Nitride charger (65 watts) that’s smaller than traditional chargers.
  • Easy firmware updates through the Linux Vendor Firmware Service (LVFS).

• Warranty:

  • One-year warranty allows users to replace parts and modify the laptop without voiding it.

The Unicode character "⸻" (U+2E3B) is called the Three-Em Dash. It was added in Unicode version 6.1 in January 2012. This character is part of the Supplemental Punctuation block and falls within the Basic Multilingual Plane. It is categorized as dash punctuation and is considered neutral in bidirectional text (meaning it does not affect the direction of text). The character is not mirrored and has specific encoding formats: HTML entities (⸻ or &#x2E3B), UTF-8 (0xE2 0xB8 0xBB), UTF-16 (0x2E3B), and UTF-32 (0x00002E3B).

No summary available.

Cursed Browser Summary

Cursed Browser is a unique web browser that uses a language model (LLM) to interpret HTML and create visual representations of web pages, making each page load an artistic surprise. Unlike traditional browsers, Cursed Browser offers a creative and unconventional rendering process.

Key Features:

• HTML and CSS Interpretation: Cursed Browser uses LLMs to parse HTML and predict CSS, which is not done by other AI-native browsers.
• Visual Output: It generates images based on its understanding, rather than using standard rendering methods.

Development Roadmap:

• V1: The initial version uses an LLM to simulate browser behavior, raising some ethical questions.
• V1.1 (Current): This open-source version reduces reliance on the web, while still fetching live data as a formality.
• V2: Planned future version aims to create a new browser engine from scratch for each page load, ensuring efficiency and minimal bloat by only including necessary features.

Overall, Cursed Browser stands out by blending AI creativity with web browsing.

php-fts Overview

php-fts is a lightweight, self-contained full-text search engine built entirely in PHP without any external dependencies. It is ideal for projects on shared hosting or small VPS where setting up a dedicated search service is impractical.

Who Should Use php-fts?

• Suitable for environments with limited resources (like shared hosting).
• Best for datasets ranging from hundreds to tens of thousands of documents.
• Allows offline indexing and runtime searches without complex setup.

Limitations

• Not suitable for real-time indexing with heavy writes or datasets in the millions.
• Lacks support for non-Latin scripts and some complex Latin languages.
• For multilingual or non-Latin content, a more robust search engine is recommended.

Key Features

• Full-text search with typo tolerance and partial matches.
• Uses BM25 + IDF for relevance ranking.
• Supports various filters and combined logical conditions.
• Allows bulk document insertion for efficiency.
• Offers soft deletes and atomic updates.
• No additional PHP extensions are required.

Requirements

• PHP version 8.1 or higher.
• Read/write access to a directory for index files.

Installation

• Can be installed via Composer or manually by including the necessary files.

How to Use

• Initialize the search engine and open a directory for indexing.
• Insert documents and perform searches with customizable scoring and filtering options.
• Monitor index health and perform maintenance tasks like compaction.

Performance

• Efficient for smaller datasets; bulk inserts are significantly faster.
• Search response times are low, even under typical load conditions.

Example Use Cases

• Can be used for product searches, documentation searches, or any system requiring full-text matching.

License

• Released under the MIT License.

Josephine Wolff, a cybersecurity policy professor, discusses the potential impact of Anthropic's AI model, Mythos, on cybersecurity. Initially, the model was seen as a threat due to its ability to find and exploit software vulnerabilities, causing concern among officials. However, Wolff argues that Mythos could also revolutionize cybersecurity by making it easier to identify and fix vulnerabilities before software is released.

Currently, there is a significant imbalance in cybersecurity, as defenders must find all vulnerabilities while attackers only need to find one. Mythos could help level the playing field by automating vulnerability discovery, potentially leading to a safer digital environment.

Despite concerns that advanced AI tools might lead to a constant race between attackers and defenders, there is hope that tools like Mythos could help secure software more effectively. However, access to these tools might be limited to larger companies, risking greater disparities in software security.

Wolff emphasizes the importance of careful policy decisions regarding the deployment of AI in cybersecurity. Key considerations include who gets access to these tools, how quickly vulnerabilities can be patched, and how to support smaller developers. The focus should be on governance and collaboration to maximize the benefits of AI in securing critical computer systems.

The text discusses key factors affecting smartphone photography quality. Here are the main points:

1. Photographer Skill vs. Technology: The quality of photos largely depends on the photographer's skill, but this guide focuses on camera hardware and technology.

2. Target Audience: Most smartphone photographers are casual users, like tourists and family members, who prioritize capturing clear memories rather than artistic shots.

3. Common Issues:

   • Blur from Grime: Always clean the camera lens to avoid blurry photos caused by fingerprints or dust.
   • Blur from Focus: Tap on your subject to ensure they are in focus. Be aware of the minimum focus distance, especially for small subjects.
   • Blur from Movement: In low light, a longer shutter speed can cause motion blur. Hold the camera steady or take multiple shots to choose the best one.

4. Image Quality Factors:

   • Noise: Low light can introduce noise (graininess) in photos. Good lighting helps reduce this.
   • Sensor Size: Larger sensors capture more light, leading to better detail. Smaller sensors result in more noise and lower quality images.
   • Megapixels: While higher megapixels allow for better zooming and printing, they don't improve quality if the photo is blurry. Sensor size is more important.

5. Exposure: Proper exposure is crucial for brightness. Phones often use HDR (High Dynamic Range) to improve contrast but this can vary by device.

6. Software Processing: Smartphones use software enhancements to improve image quality, but the extent of this varies. Users can adjust settings to control how much processing is applied.

7. Tips for Better Photos:

   • Clean the lens.
   • Focus on your subject.
   • Stay still while taking photos.
   • Use indirect lighting.
   • Adjust brightness as needed.

8. Buying a New Phone: Look for a larger sensor and ignore megapixel counts, as they are less relevant to photo quality.

Overall, understanding these factors can help you take better photos with your smartphone, while also allowing room for creative expression.

Summary:

On May 6, 2026, a partnership with SpaceX was announced, which will significantly boost compute capacity for Claude services. Key updates include:

1. Increased Usage Limits:

   • Claude Code's rate limits for Pro, Max, Team, and Enterprise plans are now doubled.
   • The peak hours limit for Pro and Max accounts is removed.
   • API rate limits for Claude Opus models have been raised.

2. New Compute Partnership:

   • SpaceX's Colossus 1 data center will provide over 300 megawatts of new capacity, enhancing services for Claude Pro and Max users.
   • Additional significant compute agreements were made with Amazon, Google, Broadcom, Microsoft, and NVIDIA.

3. International Expansion:

   • The company is expanding infrastructure internationally to meet compliance needs for industries like finance and healthcare.
   • They are focusing on partnerships with democratic nations for secure investments and infrastructure.

4. Community Commitment:

   • A commitment was made to cover consumer electricity price increases in the U.S. and explore similar commitments in new regions.

Additionally, new plugins and integrations for financial services are being released.

The text details the development of CARA 2.0, a quadrupedal robot designed by the author, who previously gained recognition for a viral video on capstan drives. The project is significant as it serves as the author’s senior design project, building upon their interest in quad robots since high school. CARA 2.0 aims to be low-cost (under $1000), lightweight (under 20 lbs), and durable, suitable for hobbyists and researchers.

The author discusses the importance of creating low-cost dynamic actuators, referring to Ben Katz's work on Quasi Direct Drive (QDD) actuators, which combine high-torque motors and low gear ratios for efficient performance. The goal is to produce these actuators for around $50-$60 each, significantly cheaper than previous models that cost around $250.

For those interested in building CARA 2.0, the author offers a full build guide on their Patreon, including free access to the bill of materials (BOM).

No summary available.

Recently, an experiment was conducted to test structured-generation algorithms in coding, shifting the focus from basic string acceptance to whether they produce the correct token distribution. The results showed that coding agents are changing how people write code, but there is skepticism about whether this will speed up the software industry overall.

Key points include:

1. Collaboration Over Individual Productivity: Effective software development relies on teamwork and collaboration, not just individual productivity gains. The real challenge is ensuring everyone agrees on specifications and goals.

2. Management as a Bottleneck: With coding agents speeding up implementation, the challenge now is creating precise specifications that agents can use. This means the focus shifts from coding to managing and defining what needs to be done.

3. Importance of Context: Shared context among team members is crucial for successful collaboration. While humans naturally share context, coding agents lack this ability and need explicit instructions to function effectively.

4. Documentation Challenges: Humans often resist documenting processes and decisions. However, agents can analyze existing resources to extract useful information, which can then be used to create a knowledge base for future use.

5. Organizational Coherence: The companies that will succeed in the future will be those that can maintain alignment and coherence within their teams as they grow. This is a cultural and management issue, not just a technical one.

6. New Opportunities: The integration of coding agents requires a shift in company culture and management strategies to effectively harness their potential. Building a culture that values documentation and clarity is essential for maximizing the benefits of these tools.

In summary, while coding agents can enhance productivity, the real challenge lies in managing collaboration, maintaining context, and fostering organizational coherence. The outcome of these experiments will provide more insights into how to navigate these issues.

Summary of Wolfenstein 3D for Gameboy Color Development

The project involves creating a version of Wolfenstein 3D for the Gameboy Color using a custom cartridge with a co-processor. The source code and hardware schematics are available on GitHub.

Key Updates:

1. Cartridge Developments:

   • The latest cartridge revision (Rev.D) is complete and functions like the previous version (Rev.C) but uses a different chip (ATF1502 CPLD instead of Nintendo MBC1).
   • This allows for creating Gameboy cartridges with off-the-shelf parts, eliminating the need to salvage chips from existing games.

2. Game Features:

   • Added gameplay music, improved AI, and various mechanics like player collision, pickups, and doors.
   • Implemented a password system for saving progress and a pause feature.
   • The game is now mostly feature-complete with ongoing testing for bugs.

3. Memory Management:

   • The project has optimized RAM and ROM usage to fit the first episode of the game. There’s potential to fit all six episodes, but it may require compromises on textures.

4. Learning Experience:

   • The project aims to enhance knowledge in hardware design and PCB development, focusing on simple components to avoid overcomplication.
   • The chosen microcontroller (ARM Cortex-M0) balances low power consumption and functionality suitable for the project.

5. Future Plans:

   • Plans include improving documentation and possibly developing future games on this platform.
   • The creator has built several cartridges for personal use and practice in SMD soldering.

Overall, the project is progressing well, with most features implemented and a focus on final testing and optimization.

Tesla's 4680 battery cells are not meeting performance expectations, which is disappointing for customers.

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Michel, the co-founder and CEO of Airbyte, announced the launch of Airbyte Agents, a new tool designed to help agents access and act on data from various operational systems. Over the past six years, Airbyte has focused on creating data connectors, and this new feature aims to simplify complex workflows that often require multiple API calls.

Airbyte Agents serve as a context layer, helping agents discover relevant data efficiently. This is crucial because traditional methods often involve cumbersome processes with many steps, leading to slow and inaccurate results. The new system includes a "Context Store," which organizes data for easier access and allows agents to interact directly with upstream systems when necessary.

In testing, Airbyte Agents proved to be much more efficient than other management tools, consuming significantly fewer resources (tokens) in retrieving data. For example, it used up to 90% fewer tokens than Zendesk's system. The benchmarking tests used to measure this performance are available publicly for others to explore.

Airbyte is eager to engage with the community to improve this tool and is seeking feedback from users about their experiences and practices in data indexing and entity matching. They are committed to further development and welcome ideas for enhancements.

This text discusses the issues with Photoshop's new user interface (UI) changes, particularly focusing on the "modern user interface" introduced in Photoshop 2026. Here are the key points:

1. The "focus mode" was renamed to "quiet mode" but remains somewhat confusing.
2. The new design, called Spectrum, is criticized for being unattractive and misaligned.
3. Major usability problems include:
   • The first input field is not automatically focused, requiring users to use the mouse to start typing.
   • Clicking on fields does not select the current value, making it difficult to enter new numbers.
   • Tabbing through fields is inconsistent and inefficient.
   • Clicking checkboxes does not restore focus to the last control, disrupting workflow.
4. Other issues include unhelpful error messages and slow pull-down menus.
5. The author expresses frustration, arguing that these problems show carelessness in design and coding.
6. Suggestions for improvement include lighter error messages, better mathematical input support, and more intuitive shortcuts.
7. Users can revert to an older interface, but this raises concerns about missing out on potential benefits.

Overall, the author feels that these changes diminish the user experience and have not effectively addressed existing issues.

Summary: Accelerating Gemma 4 with Multi-Token Prediction Drafters

Gemma 4 has introduced a feature called Multi-Token Prediction (MTP) drafters, which significantly speeds up inference for developers. By utilizing a special architecture for speculative decoding, MTP drafters can provide up to a 3x increase in speed without sacrificing output quality.

Key points include:

• Improved Responsiveness: MTP reduces latency for applications, making them more efficient for tasks like real-time chat and mobile applications.
• Enhanced Local Development: Developers can run complex models on personal computers and consumer GPUs at unprecedented speeds.
• Better On-Device Performance: The technology maximizes battery life and performance on edge devices.
• Zero Quality Loss: The final output quality remains high, as the main Gemma 4 model verifies the results.

The MTP drafters are available under an open-source license, allowing developers to access and experiment with them through platforms like Hugging Face and Kaggle. The overall goal is to accelerate AI development and deployment across various platforms.

Summary of SQLite Archive Files

An SQLite Archive is a file format similar to ZIP or Tarball, but it is based on an SQLite database. It contains a table that stores metadata about files, including their names, permissions, modification times, sizes, and compressed content.

Key Points:

1. Structure: The archive holds files in a single SQLite database file, making it easy to manage and transfer.

2. Advantages:

   • Flexibility: It can store both files and relational data.
   • Transactional: Updates are reliable, ensuring that changes are completed or not at all, even during failures.
   • Incremental Updates: Files can be added or changed without rewriting the entire archive.
   • Queryable: Users can run SQL queries to analyze the contents without extracting files.
   • Censorship Evasion: It can bypass firewalls that block certain file types.

3. Disadvantages:

   • New Format: SQLite Archives are relatively new (introduced in 2014) and less familiar to many developers.
   • Size: They are typically larger than ZIP or Tarball formats due to their more general structure.
   • Limited Compression: They only support the Deflate compression method, unlike ZIP and Tarballs, which have more options.

4. Management: SQLite Archives can be managed using the sqlite3 command-line tool, enabling users to create, list, extract, and update archives easily. There are also dedicated tools like "sqlar" for managing these archives.

5. Application Integration: Applications can read from and write to SQLite Archives by using specific functions for compression and decompression, making it straightforward to work with file content.

Overall, SQLite Archives provide a versatile way to store and manage files along with their metadata, making them useful for certain applications despite some limitations compared to traditional formats.

No summary available.

On May 5, 2026, DENIC eG announced a disruption in its DNS service for .de domains, affecting the accessibility of DNSSEC-signed .de domains. The exact cause of the issue has not been fully determined, but DENIC's technical teams are actively working to resolve it. Users may experience problems with domain resolution. DENIC will provide updates as more information becomes available and has asked for understanding from those affected. For further inquiries, DENIC is available through their usual contact methods.

No summary available.

The author discusses the creation of Wiki Builder, a tool designed to simplify the process of building knowledge bases using a coding agent, Claude Code. Previously, the author had to manually set up a folder structure and prompts for each new knowledge base, which was time-consuming.

Key Features of Wiki Builder:

• It automates the setup process with a single command, creating a folder structure, configuration file, and prompts for various wiki types.
• Each wiki can have a unique configuration that defines its purpose and structure, allowing for flexibility in use cases such as research, product profiles, and more.
• The tool supports different types of wikis, including those focused on research, papers, domains, products, and organizations.

How Wiki Builder Works:

• Users can input raw material, and the agent compiles this into structured pages.
• The agent can answer questions and keep the wiki updated, maintaining a log of changes.
• The tool includes scripts and templates to streamline the workflow.

Real-world Application: The author used Wiki Builder to create the Agentic Engineering Wiki, which includes tips, company profiles, paper summaries, and curated community highlights. This wiki was structured and fully navigable without needing additional tools.

Installation and Use:

• Wiki Builder can be installed from the DAIR Academy Plugins marketplace.
• Users can start new wikis and manage content through simple commands, or manually set up using provided scripts.

The author emphasizes the practicality of using Wiki Builder over more complex systems and encourages others to try it for creating structured wikis quickly and efficiently. The tool is open-source and continuously being improved.

Summary of Perturb-MARS: Reading Mouse Experiments through a Human Lens

Key Concepts:

• Perturb-MARS combines two innovative tools: Perturb-Map and TARIO-2. This system allows researchers to interpret mouse cancer experiments with a focus on human biology.
• Perturb-Map enables testing many genetic changes in one mouse, providing detailed information about tumor responses to treatments.
• TARIO-2 is a machine-learning model trained on human cancer data, which can predict gene activity in mouse tumors based on their appearance, linking mouse biology to human biology.

Advantages of Perturb-MARS:

1. Efficiency: It tests multiple genetic changes simultaneously in the same mouse, reducing time and costs compared to traditional methods that require many mice for each genetic test.
2. Reduced Variability: By using a single mouse for multiple tests, it minimizes differences caused by individual animals.
3. Maintained Structure: The method preserves the spatial arrangement of tumors, which is crucial for understanding their behavior in a natural environment.
4. Focused on Human Biology: The system translates mouse data into human-relevant information, improving the relevance of results for drug development.

Applications:

• It can help identify new therapeutic targets and improve patient stratification for cancer treatments.
• The system allows for exploration of combination therapies, determining which genetic backgrounds respond best to specific drugs.

Future Directions:

• The platform is designed to scale up, increasing the number of genetic tests and types of cancer explored.
• The ongoing goal is to create a simulator of human cancer biology that accurately predicts tumor responses to treatments.

Conclusion: Perturb-MARS aims to bridge the gap between mouse experiments and human cancer treatment, offering a novel framework for drug discovery and therapeutic strategies. Researchers are encouraged to collaborate to further develop this innovative approach.

Most power supplies sold today are part of a series, which includes two to four models with similar branding but different wattages (like 500-800 W or 750-1000 W). This article examines the NZXT C Gold Core series, which consists of three models: C750, C850, and C1000 Gold Core.

Key points include:

1. Design Similarities: Power supplies in a series often share the same chassis, circuit board, heat management, and features. However, there can be significant differences, especially in cable selection and internal components as wattage increases.

2. Cable and Component Differences: Higher wattage models typically have more cables for connecting additional components. For example, the C750 can only deliver 300 W through its 12V connector, while the C850 and C1000 can supply 600 W. Components like switching parts and capacitors also vary depending on the model's wattage.

3. Performance: Despite the differences, the tested models performed similarly in terms of efficiency and voltage stability. All three models are rated for high efficiency (80PLUS and Cybenetics ETA Gold) and showed similar performance metrics during testing.

4. Reason for Multiple Models: Manufacturers produce various models in a series to maximize efficiency in production and to offer consumers more options. This allows for easier brand building and upselling opportunities while providing users with a range of choices.

Overall, while models within the same power supply series often perform similarly, it's essential to note that this might not apply to all series. Testing and reviews for specific models are recommended for more precise information.

The author experimented with creating a retro multi-stroke text effect using CSS, specifically the text-stroke property. Initially, their attempts didn’t produce satisfactory results, but after trying again and varying the stroke width for each layer, they achieved a closer match to the desired effect.

Key points include:

• Text-Stroke Property: It accepts a single value, leading to the need for stacking elements as a workaround.
• Layering Technique: By stacking multiple elements and adjusting the stroke width, the author improved the text effect.
• Browser Differences: Different browsers render the text outlines differently, with Firefox producing smoother results compared to Chrome and Safari.
• Font Variation: The final look of the text is highly dependent on the chosen font, and the author implemented a function to quickly load different Google Fonts.
• Performance Considerations: While the effect is visually appealing, it can be performance-heavy, especially with larger font sizes, making it unsuitable for production environments.

The author also provided examples created using CSS, encouraging experimentation with colors and characters.

At a birthday party, the author reflects on the common concern about AI taking jobs in tech. They acknowledge that many in tech feel anxious about job security due to AI advancements, and that the reality of working in tech is chaotic and far from the idealized image others have.

The author uses a metaphor of a ship captain to illustrate the confusion and lack of direction in tech workplaces, where employees often feel overwhelmed and unsure of their roles. Many talented junior engineers have been cut from teams, leading to a loss of mentorship and institutional knowledge, which has harmful long-term effects on the industry.

The author highlights a character named Sara, who possesses crucial knowledge about a critical job that keeps the company running, representing the invaluable experience that has been overlooked and discarded in the push for efficiency. The author concludes that the real threat to jobs is not AI, but the greed that drives companies to prioritize profit over people, leading to a future where the necessary skills and knowledge are lost.

The text discusses "knitting bullshit," a term used to describe low-quality, AI-generated content related to knitting that lacks genuine engagement with the craft's history and community. The author references philosopher Harry Frankfurt's definition of "bullshit" as communication that disregards truth and reality, contrasting it with lies. The author critiques a specific example of AI-generated knitting podcasts from Inception Point AI, which produces vast amounts of content without editorial oversight. These podcasts, while popular, offer shallow, emotionally-driven narratives about knitting that omit important historical and cultural context.

The author argues that this type of content is harmful because it trivializes the rich history and community of knitting, reducing it to mere emotional validation without substance. They encourage readers to support real human creators in the knitting community instead of consuming AI-generated content, emphasizing the importance of genuine human connection and creativity in the craft. Overall, the text warns against the dangers of embracing superficial, automated content at the expense of meaningful engagement with the true essence of knitting.

The TD4 is a simple 4-bit CPU described in the book "How to Build a CPU" by Kaoru Tonami, which is only available in Japanese. A friend sent me a copy and a PCB based on open-source designs. Building the TD4 took several months as I translated the book. It uses basic components and has 12 instructions with a 16-byte ROM programmed via DIP switches. The board runs on 5V and can be powered by USB.

Soldering the PCB is straightforward, with only a few small components, but the diodes were challenging to source. They act as gates in a Diode Matrix ROM, allowing the CPU to read instructions. Once assembled, the TD4 works immediately without firmware. It operates with direct electrical paths, meaning every instruction is hardwired.

I experimented with programming by writing code manually and later created a web tool to convert assembler code into DIP switch positions. The TD4 serves as a great introduction to computer architecture, showing how hardware and software interact. Further details and an emulator are available on the publisher's support site.