Summary of EmDash: The Next Generation CMS

EmDash is a new content management system (CMS) designed as a modern alternative to WordPress. Built using TypeScript and Astro, it aims to address key security issues and improve performance, especially in the context of today's web hosting landscape.

Key Features of EmDash:

1. Enhanced Security: EmDash resolves the significant security problems of WordPress plugins by running each plugin in its own isolated environment. This means plugins can only access what they explicitly declare, reducing the risk of security vulnerabilities.

2. Open Source: EmDash is fully open-source and available under an MIT license. This encourages more developers to contribute and adapt the platform without the constraints of WordPress's licensing.

3. Serverless Architecture: Unlike WordPress, EmDash is designed for serverless hosting, allowing it to automatically scale resources based on demand, which can lead to cost savings and improved performance.

4. Flexible Content Management: EmDash allows users to create custom content types easily and supports importing existing WordPress sites, making it user-friendly for those transitioning from WordPress.

5. Built-in Payment System: EmDash supports an open standard (x402) for charging users for content access, enabling creators to monetize their content without complex setups.

6. Developer-Friendly Tools: EmDash provides a command-line interface (CLI) and tools to help developers manage their sites programmatically, streamlining content management tasks.

7. Secure User Management: It uses passkey authentication for enhanced security and offers role-based access control for user management.

Why EmDash?

As WordPress celebrates its 24th anniversary, EmDash seeks to modernize and improve upon its foundational concepts, addressing contemporary challenges in website security, performance, and user experience. It aims to empower a new generation of developers and content creators by creating a safer, more flexible, and cost-effective publishing platform.

Developers can try EmDash today as it is currently in early beta, and feedback is welcomed to shape its future development.

Here’s a simplified summary of the text:

• When posting job openings, include the job location and specify if it’s remote (REMOTE), remote in the US (REMOTE (US)), or onsite (ONSITE).
• Only post if you are directly involved with the hiring company; no recruiting firms or job boards allowed. Each company should only make one post, and if it's not well-known, explain what you do.
• Ensure you are actively hiring and willing to respond to applicants.
• Avoid off-topic comments on job posts.
• Interested individuals should only email if they genuinely want the job.
• Job seekers can explore additional resources for job searches through provided links.
• There's also a separate thread titled "Who wants to be hired?" for job seekers.

Summary of SwiftLM

SwiftLM Overview

• SwiftLM is a high-speed inference server written in Swift for serving MLX models, designed to be compatible with OpenAI APIs. It runs natively on Apple Silicon without relying on Python, offering efficient performance.

Getting Started

• Pre-built Binary: Users can quickly download a pre-built version from the Releases page and start the server.
• Building from Source: Users can clone the repository and run a build script that sets up everything needed to compile SwiftLM.

Performance Highlights

• SwiftLM shows impressive performance metrics when running large models on Apple Silicon, with significant speed improvements:
  • The speed for generation doubled with recent updates.
  • It efficiently manages memory, allowing a 26B model to run on machines with 24 GB RAM.

Key Features

• Native Apple Silicon Support: Optimized for Metal and Swift.
• OpenAI-Compatible API: Easy integration for developers familiar with OpenAI's systems.
• Smart Model Routing: Supports direct loading of models in HuggingFace format.
• TurboQuantization: Provides fast quantization for efficient memory use.
• SSD Expert Streaming: Allows direct streaming from SSD to GPU, improving performance for large models.

iOS App - SwiftBuddy

• SwiftBuddy is a companion app for iPhone and iPad that allows users to download models and run inference locally, all without a server or Python.

Quantization Improvements

• SwiftLM uses a hybrid TurboQuant architecture for efficient KV cache compression, achieving high quality with lower memory usage.

Benchmarking and Testing

• Users can run automated benchmarks to evaluate performance and memory usage for different models and configurations.

API Endpoints

• SwiftLM provides various API endpoints for health checks, listing models, and generating chat completions.

Requirements

• SwiftLM requires macOS 14.0 and Apple Silicon hardware, along with the necessary development tools.

Conclusion

• SwiftLM represents a powerful tool for serving machine learning models efficiently on Apple devices, combining speed, low memory usage, and ease of integration with existing tools.

OpenClaw Arena Summary

OpenClaw Arena features a leaderboard where various AI models compete in real tasks to show their performance. The rankings on this leaderboard are calculated based on specific methods. Some models are considered "provisional," meaning they have participated in fewer battles and their rankings might change as more data becomes available. Provisional models have wider confidence intervals, indicating less certainty about their rankings.

Meta is advancing the construction industry by using AI to create better and more sustainable concrete mixes, focusing on materials produced in the U.S. They recently introduced a new AI model called Bayesian Optimization for Concrete (BOxCrete), which is available as open-source on GitHub.

The U.S. uses about 400 million cubic yards of concrete each year, but relies on imports for about 20-25% of the cement used. This dependence on imported cement can hinder domestic manufacturing and job growth. Meta's AI aims to help U.S. concrete producers utilize more domestically-sourced materials, which could enhance local jobs and the economy.

Meta has partnered with major companies like Amrize and the University of Illinois to implement this AI in real-world concrete production. They have achieved notable improvements, such as a faster-curing concrete mix that meets structural needs while reducing the risk of cracking.

The AI model enhances the concrete mix design process, allowing for quicker adaptations to new materials without extensive lab work. It learns from past data to suggest optimal mixes based on specific requirements and improves continuously based on test results.

Meta's efforts are part of a broader initiative to make AI an integral part of the construction industry, aiming to improve sustainability and performance in concrete production. The company plans to continue collaborations to further develop AI tools for the sector.

NASA's Artemis II mission, the first crewed mission of the Artemis program, is set to launch today at 1:00 PM from the Kennedy Space Center in Florida. The mission features astronauts Reid Wiseman, Victor Glover, Christina Koch, and Canadian astronaut Jeremy Hansen. They will embark on a 10-day journey around the Moon to test the Orion spacecraft's life support systems with a crew onboard and to lay the groundwork for future Artemis missions. The event has already occurred, but the launch can be watched via a livestream.

Summary of CJK Character Sets and Encoding

Chinese Characters:

• There are two main forms of Chinese writing: Traditional and Simplified. Traditional Chinese is used in Taiwan and Hong Kong, while Simplified Chinese, developed in the 1950s, is used in Mainland China and Singapore.
• Simplified Chinese reduces the complexity of characters and uses fewer characters for common use. Most Chinese speakers use these scripts to write, regardless of their dialects.
• The characters are called hanzi (or Han characters), and approximately 3,000-4,000 characters are commonly used, with Unicode supporting over 70,000.

Japanese Characters:

• Japanese uses three scripts: kanji (borrowed from Chinese), hiragana (for native words and grammatical elements), and katakana (for foreign words).
• Everyday Japanese writing requires about 2,000 kanji characters, while hiragana and katakana are used for various grammatical functions.
• Characters can represent sounds in specific ways, such as using small versions to modify sounds or adding marks to indicate voiced consonants.

Korean Characters:

• Korean employs a unique script called hangul, which represents syllables composed of individual phonemes.
• It can also include hanja (Chinese characters), but hangul is predominant, with about 2,300 characters commonly used.

Radicals:

• Radicals are components of characters used for indexing and creating new characters. The KangXi dictionary recognizes 214 radicals, with variations for different character forms.

Character Sets and Encoding:

• A character set is a collection of characters needed for writing, which is then ordered and numbered to create a coded character set with unique code points.
• Early character sets like ASCII were limited, leading to double-byte sets for East Asian languages. Unicode now encompasses all characters in one set, allowing for over a million code points.
• Different encoding methods (like UTF-8, UTF-16, and UTF-32) represent characters in various byte sizes, but all are based on the same Unicode character set.

Unification:

• Unicode avoids duplicating characters unnecessarily, unifying similar characters while maintaining unique representations for those with different meanings or visual forms.

Respecting Character Boundaries:

• It’s crucial for applications to handle characters rather than bytes to avoid errors, especially with multi-byte characters, which can lead to display issues if not managed correctly.

Input Methods:

• Input Method Editors (IMEs) assist users in typing complex characters by converting phonetic inputs (like romaji for Japanese) or visual inputs (like Changjie for Chinese).
• Different methods exist for entering Chinese characters, including Pinyin and bopomofo, which help with phonetic transcription.

Alternative Representations:

• When a character cannot be represented, Unicode allows for alternative descriptions using ideographic variation indicators or ideographic description characters to convey the intended character's components.

This summary provides an overview of the diverse character sets used in East Asian languages, their encoding systems, and methods for inputting and representing characters.

CERN is gearing up for major upgrades to the Large Hadron Collider (LHC) this summer, referred to as Long Shutdown 3 (LS3). As part of these preparations, engineers have developed new "superconducting karts" to help workers quickly navigate the 27-kilometer underground tunnel. These karts, powered by 64 superconducting engines, promise to enhance efficiency compared to the bicycles previously used.

The kart project was inspired by designs from children at a nearby nursery, showcasing CERN's commitment to encouraging future generations. While the announcement was initially presented as an April Fool's joke, the karts will indeed play a role in the upcoming improvements to the LHC, which is being upgraded to the High-Luminosity LHC. Additionally, there are discussions about potential applications for these karts in aerospace and anti-gravity technologies.

Zerobox is a new tool written in Rust that creates a secure environment for running commands, called a sandbox. It uses existing sandboxing technologies and adds features like secret management.

Key points:

• Zerobox is a command-line interface (CLI) that works across different platforms.
• It operates on a "deny by default" policy, meaning it only allows reading files and blocks all writing and network access unless specified otherwise.
• It uses a proxy to manage network calls and can inject secrets into commands without exposing them to the command itself.
• This tool is designed for local use, making it easy to sandbox commands on any operating system.

The creator encourages feedback, especially from users of AI tools and agents. You can check out a demo of Zerobox here.

Summary of Git Bayesect

Git Bayesect is a tool that helps identify commits in a git repository that may have caused changes in the likelihood of events, such as making a test fail more often. It uses Bayesian inference to pinpoint the commit that introduced the change without needing to know the exact likelihoods.

Installation:

• You can install it via pip: pip install git_bayesect, or using uv tool: uv tool install git_bayesect.

How It Works:

• Git Bayesect identifies problematic commits by minimizing expected uncertainty (entropy) and applying a method to manage unknown failure rates.

Basic Usage:

1. Start a bisection: git bayesect start --old $COMMIT
2. Record a failure on the current commit: git bayesect fail
3. Record a success on a specific commit: git bayesect pass --commit $COMMIT
4. Check the status: git bayesect status
5. Reset the bisection: git bayesect reset

Advanced Usage:

• Set prior probabilities for commits or based on filenames and commit messages.
• Retrieve command logs with git bayesect log.
• Undo the last observation: git bayesect undo.
• Run bisection automatically with a command: git bayesect run $CMD.
• Checkout the best commit for testing: git bayesect checkout.

Demo: A demo script is available to create a fake repository for testing the tool. It involves generating a repository, running a flaky script, and then using Git Bayesect to find the commit that introduced the change.

No summary available.

The Agents Observe project began as a way to monitor and analyze the activities of teams of agents in real-time. Here are the key points:

• Blocking Hooks: Using hooks in Claude code can slow down performance if there are too many plugins.
• Useful Information: Hooks offer more valuable insights than traditional data sources.
• Complete Data: Claude's JSONL files provide comprehensive information.
• Process Management: Managing the lifecycle of processes started by plugins is complicated.

The main insight was that switching to background hooks significantly improved Claude's performance, especially when unnecessary plugins were removed.

The Agents Observe plugin uses Docker to run its API and dashboard, which enhances security. It also effectively manages multiple Claude instances by tracking active connections and shutting down when not in use, automatically restarting for new sessions.

Overall, this tool has greatly improved my daily workflow.

The AI Marketing BS Index is a playful scoring system designed to evaluate marketing claims, similar to John Baez’s "Crackpot Index" for physics. It aims to identify exaggerated or misleading marketing language. Here's how the scoring works:

• Start with -5 points (to give the benefit of the doubt).
• Add 10 points for claiming to invent something without proper references.
• Add 10 points for misusing scientific terms.
• Add 20 points for vague statements that avoid clarity.
• Add 20 points for claiming a product mimics nature or the universe.
• Add 20 points for unnecessary references to "emergent properties."
• Add 20 points for dropping Ivy League names.
• Add 30 points for lacking testable claims in descriptions.
• Add 40 points for unverifiable research collaborations.

The author anticipates needing to expand this scoring system in the future and wishes for fewer vague marketing emails.

Summary of BGP Security Issues and Solutions

1. What is BGP?

   • The Border Gateway Protocol (BGP) acts like the postal service for the Internet, determining the best paths for data to travel.

2. Current Security Status:

   • BGP is currently not secure, leading to significant Internet disruptions due to misconfigurations and malicious activities like BGP hijacking.

3. BGP Hijacking:

   • This occurs when a malicious node provides false routing information, causing data to be misdirected. Without security, this misinformation spreads throughout the network.

4. Solution - RPKI:

   • The Resource Public Key Infrastructure (RPKI) enhances BGP security by using cryptography to validate routes. It helps prevent the acceptance of incorrect or malicious routes.

5. Adoption of RPKI:

   • Major Internet Service Providers (ISPs) are gradually implementing RPKI, improving the overall safety of BGP. As of early 2026, many large ISPs have started filtering out invalid routes using RPKI.

6. Importance of Collective Action:

   • For BGP to be truly secure, widespread adoption of RPKI by all ISPs is necessary. Users are encouraged to raise awareness and urge their ISPs to implement these security measures.

By ensuring that ISPs use RPKI, the Internet can become safer, reducing the risks associated with BGP vulnerabilities.

The article discusses a mysterious radio station that has been broadcasting a series of numbers during the ongoing conflict in Iran. These types of broadcasts, known as "numbers stations," often send coded messages, typically used for espionage or communication with spies. The current broadcasts have sparked curiosity and speculation about their purpose and origin amidst the turmoil in the region. The article highlights the intrigue surrounding these signals and their potential implications for intelligence and security.

Summary:

This tutorial is designed for those interested in programming embedded systems using Ada and SPARK on ARM Cortex-M microcontrollers. It provides examples with Arduino and Nucleo boards, and the code is available for download.

The tutorial includes a variety of topics, such as:

1. Introduction
2. Documentation and Tools
3. Writing Your First Program
4. Linking and Booting
5. Working with Digital Outputs and Inputs
6. Implementing Delays and Random Numbers
7. Creating Finite State Machines
8. Handling Interrupts and Shared States
9. Mixing Ada with C and C++
10. Addressing Runtime Errors with SPARK

Bonus content includes a very simple scheduler and options to read or purchase an accompanying book.

Copyright © 2007-2024, Inspirel.

This post explores the best ways to obtain randomness on Apple platforms, focusing on accessing the hardware random number generators. The author examines various APIs and their effectiveness for different use cases.

1. Starting Point: The journey begins with the rand(3) function, which is considered obsolete, leading to the use of arc4random(3), a better option that provides high-quality random bytes quickly.

2. arc4random(3): This function uses a cryptographic pseudo-random number generator and is recommended over older methods like rand(3), random(3), and rand48(3). It is designed to provide reliable randomness and can be used in many environments.

3. Other Randomness Sources:

   • /dev/random and /dev/urandom: Both provide random bytes but have limitations. /dev/urandom is less preferred due to potential performance issues.
   • getentropy(2): This system call offers a direct way to obtain random data from the kernel, with a maximum buffer size of 256 bytes. It is more reliable for security-critical applications than /dev/random.

4. Additional APIs:

   • SecRandomCopyBytes: Part of the Security framework, it calls CCRandomGenerateBytes, which is a public API in Common Crypto. Both this and arc4random(3) utilize corecrypto functions for generating randomness.

5. Choosing Between APIs:

   • For non-security-critical use cases (like games), simpler random number generators may suffice, and seeds could be generated using getentropy(2).
   • For security-critical tasks (like encryption keys), CCRandomGenerateBytes is preferred for its speed and security.

6. Conclusion: The author suggests using CCRandomGenerateBytes for most applications due to its reliability, while acknowledging that arc4random(3) is also a viable option. The best choice depends on the specific requirements of the application, particularly regarding security.

The text discusses Pratt parsing, a method for converting flat expressions into structured trees called abstract syntax trees (ASTs). Here's a simplified summary of the key points:

1. Abstract Syntax Trees (ASTs): ASTs represent the order of operations in expressions, with operators above their operands. For example, the expression a + b * c + d is structured in the tree as a + (b * c) + d.

2. Parsing: This is the process of converting flat text expressions into ASTs. It has been a complex area of study in computer science, especially due to issues with operator precedence.

3. Operator Precedence: The text describes how to represent expressions with different types of precedence:

   • Decreasing Precedence: Operators are evaluated from left to right, creating a left-leaning tree.
   • Increasing Precedence: Operators are evaluated from right to left, resulting in a right-leaning tree.
   • Equal Precedence: Typically handled with left associativity, meaning leftmost operators are evaluated first.

4. Transitioning Precedence: When an expression changes from increasing to decreasing precedence, the new operator is added to the tree in a way that maintains correct evaluation order. This involves walking back through the tree to find where to place the new operator.

5. Pratt Parsing Algorithm: The parsing process involves:

   • Recursively building the tree by evaluating operators based on their precedence.
   • Using a loop to ensure all relevant operators are included when a new operator is added.

6. Associativity: Operators can be left or right associative, affecting how they are parsed. Left-associative operators have equal left and right binding powers, while right-associative operators have different powers to ensure correct grouping (e.g., a = b = c should be parsed as a = (b = c)).

In conclusion, Pratt parsing simplifies the handling of operator precedence and associativity by using a structured approach to build ASTs, leveraging the concepts of left and right-leaning trees based on operator precedence.

The article discusses the Greenland shark, which is the longest-lived vertebrate on Earth, potentially living between 272 and 512 years. Scientists recently discovered how to estimate their age using carbon-14 testing on proteins in their eyes. Despite their size and status as large predators, Greenland sharks are not particularly appealing in appearance; they have blunt faces, stunted fins, and even carry parasitic crustaceans that make them look worse.

These sharks have a slow metabolism, moving at only 1.7 to 2.2 mph, and they primarily eat whatever they find, including reindeer and polar bears. They live deep in the ocean and are rarely seen, making it difficult to estimate their population status. They are currently listed as "near threatened," partly due to past overfishing for oil extraction.

The author reflects on the resilience and longevity of the Greenland shark, suggesting that they symbolize hope as they will witness the ups and downs of human history, remaining a part of the ocean's mysteries. Overall, the Greenland shark embodies a unique beauty in its endurance through time.

Apple is celebrating 50 years of innovation. While reflecting on its past, the company focuses on the future, aiming to create tools and experiences that enhance people's lives. As they commemorate their achievements, they are excited about the journey ahead.

Wasmer is developing software to enhance future Cloud Computing platforms using WebAssembly. They are focusing on using WebAssembly on the server-side, independent of JavaScript, similar to what Node.js does. For more information about Wasmer and its values, you can visit their website.

Summary of CVE-2026-4747 Vulnerability in FreeBSD

Overview: CVE-2026-4747 is a critical vulnerability in FreeBSD affecting versions 13.5, 14.3, 14.4, and 15.0. It allows an attacker to execute arbitrary code with kernel privileges remotely via a stack buffer overflow in the RPCSEC_GSS module, specifically when using the NFS server with GSS-API authentication.

Key Points:

1. Vulnerability Details:

   • The issue arises in the svc_rpc_gss_validate() function, which improperly handles the length of GSS credentials, leading to a buffer overflow.
   • An attacker can exploit this by sending an oversized credential body, which can overwrite critical memory areas, including the return address.

2. Impact:

   • Successful exploitation leads to remote code execution with root privileges (uid 0).
   • The vulnerability is particularly dangerous as it can be triggered over the network without needing direct access to the system.

3. Fix:

   • The patch introduces a bounds check to ensure that the length of the credential does not exceed the allocated buffer size before copying data.

4. Exploitation Process:

   • The attack requires the attacker to have a valid Kerberos ticket for an NFS service.
   • The exploit consists of multiple rounds where each round sends a crafted RPC packet that triggers the overflow, allowing the attacker to write their shellcode into kernel memory.
   • The shellcode, once executed, can spawn a root shell for the attacker.

5. Setup Requirements:

   • A FreeBSD VM running with the vulnerable versions and configured NFS server.
   • An attacker machine running Linux with necessary tools to interact with the target via Kerberos.

6. Exploitation Challenges:

   • The exploit must carefully manage the stack layout due to the complexity of the overflow and the need to clear debug registers to avoid crashes.
   • The shellcode delivery is segmented across multiple packets due to size limitations.

7. Outcome:

   • The attack results in an interactive reverse shell with root access, demonstrating the severity of the vulnerability.

This summary highlights the main aspects of the vulnerability, its implications, and the steps needed for exploitation and mitigation.

Summary:

In 2026, revisiting Wolfenstein 3D, a classic first-person shooter from the early '90s, reveals its outdated design despite its historical significance. The game's simple blocky environments, with 90-degree angles and rectangular rooms, make navigation challenging, especially without an in-game map to help players avoid getting lost. Combat feels outdated, lacking cover options and requiring a more offensive approach to defeat enemies. The difficulty levels are inconsistent, with easy modes being too simple and harder ones feeling unfair.

One interesting aspect of the game is its compatibility with mouse controls, allowing it to be played one-handed, which can enhance movement speed. While the game has limitations and design quirks, it remains a fun experience for fans, highlighting the origins of the first-person shooter genre. Overall, Wolfenstein 3D serves as a nostalgic look back at an influential game that laid the groundwork for future titles, despite its rough edges.

I had a great time learning about the REWE supermarket's API and their use of mTLS for secure connections. I also discovered mitmproxy2swagger, a useful tool that automatically creates OpenAPI specifications. In 2026, I found writing Haskell to be enjoyable, and whenever I faced challenges with the code, I could easily ask AI for help, making the process smoother than before. Lastly, I believe the best side projects are the ones you actually use, and this one will help me with my future grocery shopping.

The text mentions that TDF (The Document Foundation) has removed its main developers from their positions.

Summary: A Dot a Day Keeps the Clutter Away

The author describes a simple and effective organization system for managing electronic components in their lab using colored dot stickers. Here are the key points:

• Organization Method: The lab features clear boxes, each labeled and dated, with colored dots added when a box is used. This visual system helps track usage over time.

• Collection Growth: Since starting their collection in 2011, the author found that as their parts grew, their previous organization methods became inadequate. They switched to clear containers to easily see contents, preventing forgotten items.

• Usage Tracking: To quantify how often parts are used, the author applies one dot per box each day it is opened. Different colors represent different years, allowing for long-term tracking.

• Insights Gained: After four years, patterns emerged showing which components were most essential. Common items like glue, batteries, and connectors were frequently used, while many sensors and specialized tools were not as necessary.

• Storage Strategy: Based on usage, items were categorized into three tiers: frequently used items near the desk, less used items in a closet, and rarely used items in "cold storage" outside the lab.

• Principles for Success:

  • Use clear boxes of the same size for easy stacking and organization.
  • Label everything and date items for reference.
  • Keep sticker sheets accessible to encourage regular use tracking.
  • Create meaningful categories for parts to provide clarity on usage.

Overall, the dot system is a low-cost, no-tech solution that has adapted to the author's evolving needs and continues to help manage their lab efficiently.

There are ongoing discussions about the leak of Claude Code's source code, which was exposed through a map file in their NPM registry. Two main threads on the topic have been created, with significant comments from users. The first thread discusses fake tools and issues with regex, while the second focuses on the source code leak itself. Additionally, there's a related link to a site called CCLeaks.

No summary available.

The UK has quickly sent new air defense systems to three countries in the Gulf region and increased the number of Typhoon fighter jets in response to over 3,500 missile and drone strikes from Iran.

Summary:

The article by Jay explains how to create a playable chess game using only SQL, without any JavaScript or frameworks.

1. Chess Board Representation: The chess board is represented as an 8x8 grid in a SQL table, with rows for each piece.

2. Transforming Rows into a Grid: SQL typically outputs rows, but the article shows how to pivot these rows into a grid format using conditional aggregation and a Common Table Expression (CTE). This allows the board to display pieces correctly.

3. Making Moves: To move pieces, the SQL commands UPDATE, DELETE, and INSERT are used. The article encourages readers to try making their own moves using SQL.

4. Replaying a Famous Game: The author demonstrates how to play through the famous "Opera Game" by Paul Morphy using SQL, showcasing its effectiveness in visualizing chess strategies.

5. Conclusion: The article emphasizes that SQL can be more versatile than people think, allowing for grid-based visualizations beyond chess, such as calendars and seating charts.

In summary, the article highlights a creative use of SQL to build and interact with a chess game in a browser.

PrismML is hiring and focuses on creating ultra-dense AI models that can run efficiently on devices with limited memory, like smartphones. Their key product, the 1-bit Bonsai models, includes:

1. 1-bit Bonsai 8B: Requires 1.15GB of memory, is 14 times smaller, 8 times faster, and 5 times more energy-efficient than traditional models, while still performing well in benchmarks.

2. 1-bit Bonsai 4B: Needs just 0.57GB of memory and processes data at 132 tokens per second, balancing speed and efficiency.

3. 1-bit Bonsai 1.7B: Uses only 0.24GB of memory, reaches 130 tokens per second on an iPhone, and is designed for high-performance tasks with excellent energy efficiency.

These models aim to make advanced AI accessible for various applications, including robotics and edge computing.

Sycamore is a modern web UI library built with Rust and WebAssembly, designed for creating reactive applications with high performance. Here are the key points:

• Performance: Sycamore provides excellent performance by leveraging Rust and WebAssembly.
• Reactivity: It features a fine-grained reactivity system, updating only the necessary parts of the app.
• Type Safety: The library type-checks your code, helping to catch errors during development.
• Server-Side Rendering (SSR): Sycamore supports SSR and can also function in Single Page Application (SPA) mode.
• Asynchronous Support: It allows for easy loading of asynchronous data with a built-in resources and suspense API.
• Routing: Sycamore includes a built-in router for both client-side and server-side navigation.

Sycamore has a growing community with over 3,200 stars on GitHub and 268,000 downloads on crates.io. Recent updates include new features and improvements, making it more user-friendly and efficient.

TruffleRuby Overview:

• TruffleRuby is a Ruby programming language implementation on the Java Virtual Machine (JVM), developed during an internship at Oracle Labs in 2013. It uses the Graal dynamic compiler and Truffle interpreter framework.
• It offers better performance than JRuby while being simpler. It became an open-source project in 2014, became its own project in 2017, and is now part of GraalVM. Development has been sponsored by Shopify since 2019.
• The project has been a focus of research, culminating in a PhD thesis.

Key Resources:

• The page provides links to literature and code related to TruffleRuby, along with personal views from the author, Chris Seaton, which do not represent Oracle.
• Several blog posts and articles cover various technical topics related to Ruby and TruffleRuby, such as optimization, debugging, and object representation.
• Research papers from conferences detail various aspects of dynamic language implementation and optimizations related to TruffleRuby.

Presentations and Talks:

• Chris Seaton has given numerous talks on TruffleRuby, Ruby optimization, and GraalVM at various conferences, sharing insights on performance, implementation, and future directions.

Source Code:

• Links are provided for accessing the TruffleRuby code and related Graal and Truffle code.

Recent research shows that language models can learn to reason effectively, especially through reinforcement learning (RL). While some methods use low-rank parameterizations for reasoning, traditional approaches struggle to scale down effectively. We introduce TinyLoRA, a new method that allows low-rank adapters to work with as few as one parameter. Using TinyLoRA, we trained the 8B parameter model Qwen2.5 to achieve 91% accuracy on the GSM8K dataset with just 13 parameters (26 bytes total). This method consistently recovers about 90% of performance improvements while using 1000 times fewer parameters on tougher reasoning tasks like AIME, AMC, and MATH500. Importantly, our strong results are only possible with RL; models trained using standard supervised fine-tuning (SFT) need 100-1000 times more parameters to reach similar performance.

A Linux developer, David Woodhouse, has introduced a series of patches aimed at phasing out support for the older IPv4 protocol in favor of the newer IPv6. This change would allow users to build a Linux kernel that supports only IPv6 and potentially disable IPv4 support altogether.

The new patches include an option called CONFIG_LEGACY_IP, which lets users toggle IPv4 support in the kernel. Currently, if a program tries to use an IPv4 socket, it will receive a warning, but this is part of a broader idea to eventually mark IPv4 for deprecation.

Despite the playful timing of the announcement on April 1st, Woodhouse emphasized that he believes these changes should be seriously considered. He suggests that the Linux community should work towards clearer distinctions between the two protocols and improve the kernel's ability to support either one independently.

In summary, this development reflects a push towards modernizing Linux networking by focusing on IPv6 and reducing reliance on the older IPv4.

Summary of MiniStack

MiniStack is a free alternative to LocalStack, which is no longer free. It provides 33 AWS services on a single port without requiring an account or license key. It includes real infrastructure like Postgres, Redis, and Docker containers.

Key Features:

• Supports core AWS services such as S3, SQS, DynamoDB, and Lambda.
• Runs real databases via RDS and Redis containers through ElastiCache.
• Executes real SQL queries using Athena (with DuckDB).
• Compatible with tools like boto3, AWS CLI, Terraform, and more.
• Uses a simple Docker command to run: $docker run -p 4566:4566 nahuelnucera/ministackcopy.

Comparison with LocalStack:

• MiniStack is free forever, while LocalStack now has paid plans.
• MiniStack has a smaller memory footprint and faster startup time.
• It offers real infrastructure, unlike LocalStack’s mocked services.
• All services are MIT licensed, allowing for free use and modification.

In summary, MiniStack is an efficient, cost-free solution for local AWS development, providing real services and infrastructure for developers.

Summary of the Letter to John Ternus

In a letter dated April 1, 2026, the author reflects on Apple's fiftieth anniversary and the founding spirit of the company, which centered on a love for computers. They express concern that the tech industry has become overly focused on growth and optimization, losing the passion and values of Apple’s founders, Steve Jobs and Steve Wozniak.

The author believes that John Ternus is likely to become Apple's leader and emphasizes the importance of preserving the company's core values:

1. Celebrate the love for computers.
2. Use computers to enhance lives, not control or exploit users.
3. Respect customers' time, privacy, and data.
4. Treat customers as owners, not resources to exploit.

While Apple is a leader in these values, the author stresses the need for ongoing effort and courage to uphold them. They encourage Ternus to prioritize creating exceptional computers and user experiences, asserting that success in other areas like profit and market share will naturally follow. The letter concludes by reminding Ternus that maintaining Apple’s commitment to quality in computers is crucial, as no one else will do it if they don’t.

The article discusses how to use a Raspberry Pi with a new FireWire HAT and a PiSugar3 Plus battery to create a portable Memory Recording Unit (MRU) that can replace tape in older FireWire cameras. This setup allows users to directly connect cameras, archive MiniDV tapes, and work with other FireWire devices.

The hardware used includes a Raspberry Pi 5, a FireWire HAT, a PiSugar battery for portability, and a Canon GL1 miniDV camcorder. The setup can provide 2-4 hours of recording time, depending on usage.

To operate the system, users need to enable FireWire support on the Raspberry Pi and install specific software. Recorded videos are saved on the Pi and can be transferred to other devices.

Alternatives to this setup exist, such as using a Mini PCIe HAT with a FireWire adapter. The author notes that while the setup supports FireWire devices now, the future of FireWire in Linux is uncertain after 2029. The total cost of the setup is estimated to be between $150 and $200.

HYPERHELL Summary

HYPERHELL is an innovative 4-Dimensional game inspired by DOOM. You can play a demo online, but it requires specific hardware and a compatible browser.

In this game, players navigate a confusing 4D maze filled with enemies like demons and dark angels. You meet a character called the Bargainer, who offers choices that affect your escape from this dimension.

The game explores whether people can intuitively understand 4-dimensional spaces. It uses a unique rendering technique called the "4D Eye," which helps players interact with the 4D environment.

For more details, you can check out a full gameplay video and the developer's log.

The blog discusses the introduction of cuTile BASIC, a new tool that allows developers to use tile-based GPU programming in the BASIC programming language. This tool is part of the CUDA Tile feature introduced in CUDA 13.1, which aims to make GPU programming more accessible and flexible across different languages.

Key Points:

1. What is cuTile BASIC?

   • It enables BASIC programmers to write tile-based GPU kernels easily, allowing them to enhance performance in legacy applications that utilize BASIC.

2. Target Audience:

   • cuTile BASIC appeals to developers who grew up using BASIC, letting them modernize old applications with the power of NVIDIA GPUs.

3. Setup Requirements:

   • To use cuTile BASIC, you need an NVIDIA GPU with compute capability 8.x or higher, the NVIDIA Driver R580 or later, CUDA Toolkit 13.1 or newer, Python 3.10 or higher, and the cuTile BASIC package.

4. Examples:

   • The blog provides simple examples of vector addition and matrix multiplication written in cuTile BASIC, showcasing how straightforward it is to implement these operations without needing to manage thread operations manually.

5. Getting Started:

   • Developers can install cuTile BASIC using PIP and are encouraged to explore the documentation and sample programs available on GitHub.

Overall, cuTile BASIC merges the simplicity of BASIC with modern GPU capabilities, opening new possibilities for developers familiar with this historical programming language.

Magic mushroom-infused products, particularly PolkaDot-branded chocolate bars, have been discovered in Denver gas stations, raising public health concerns. These products were previously flagged in California for containing illegal psychoactive substances, leading to significant destruction of the inventory.

In Denver, health officials found that these chocolate bars, marketed as containing only non-hallucinogenic mushrooms like lion’s mane and reishi, actually contained psilocybin and other synthetic drugs. Investigators warned retailers who were often unaware of the true contents, as misleading labels helped products evade detection.

Despite Colorado's decriminalization of personal possession and use of psilocybin under the 2022 Natural Medicine Act, selling these products is still illegal. The law allows individuals to grow and share magic mushrooms, but retail sales are prohibited. Many retailers mistakenly believe that any mushroom-based product is legal to sell.

Local health officials are focusing on educating consumers and retailers about the dangers of these products and encouraging reporting of sightings. They also emphasize the need for retailers to ensure they know the origins and ingredients of the products they sell. Consumers are advised to avoid purchasing these mystery products and to seek natural medicines through safe and legal means.

Summary

A malicious version of the npm package "axios" has been compromised. The attacker used a hijacked maintainer account to publish tainted versions, including 1.14.1 and 0.30.4, which contain a hidden dependency that installs a Remote Access Trojan (RAT). The situation is currently under investigation, and further technical details will be provided later.

The text also includes technical details about a script that generates a navigation system for a blog post. This system creates links to headings within the post and allows for smooth scrolling to those sections. It manages active states for menu items and handles dropdowns for subheadings efficiently.

Summary:

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No summary available.

libpo32 Summary

libpo32 is a small C99 library designed for transferring data and synthesizing drums for the Teenage Engineering PO-32 device. It implements the PO-32's data transfer protocol and drum sound model, but it is not a complete emulator of the device's firmware or user interface.

Key Features:

• Transfer Protocol: Builds and parses packets for sounds and patterns.
• Acoustic Modem: Converts data into audio format for the PO-32.
• Decoder: Extracts data from transfer audio.
• Drum Synthesis: Simulates the PO-32's drum sounds for testing.

The library is lightweight, using only basic C headers, making it suitable for embedded systems.

Using libpo32 with PO-32:

1. Create a transfer with patch, pattern, and state data.
2. Convert the transfer to audio.
3. Set the PO-32 to receive mode.
4. Play the audio into the device.
5. The PO-32 processes the audio to create sound.

Getting Started: To build and test the library:

1. Configure and build using CMake.
2. Run tests and a demo program.
3. Optionally, set up git hooks for code formatting and validation.

Examples Provided:

• Minimal roundtrip for encoding and decoding.
• End-to-end demo with drum synthesis.
• Interactive pattern editor.
• WAV file decoding.

Documentation: Includes details on architecture, protocols, and API references.

Project Structure:

• Core implementation, public headers, example programs, and documentation are organized in specific directories.

Contribution Guidelines: Follow the provided guidelines for setup and commit conventions.

License: This library is licensed under the MIT License.

No summary available.

A recent study from the University of Michigan has revealed that ordinary lab gloves, specifically nitrile and latex, can release particles called "stearates" that resemble microplastics. These particles can interfere with research findings, leading scientists to potentially overestimate microplastic pollution. The issue was discovered when a researcher noticed unexpectedly high levels of microplastics while working with metal substrates.

The study found that all types of gloves tested contributed to an average of 2,000 false positives per square millimeter of contact area. In contrast, clean-room gloves, which do not contain stearates, resulted in only 100 false positives. The researchers emphasize that while lab gloves can skew data, this does not negate the existence of microplastic pollution, and scientists need to refine their methods to get more accurate results.

Summary of "The Weight of Remembering"

This article explores how AI conversations are managed through a system called the KV cache, which stores parts of the dialogue as physical data on GPU memory. When someone types a question into AI models like ChatGPT, their input is broken down into tokens that are processed to produce responses. The KV cache helps avoid reprocessing all previous tokens, making conversations faster and more efficient.

Over the years, the method of handling the KV cache has evolved. Initially, models like GPT-2 stored a lot of data per token, but newer models like Llama 3 and DeepSeek V3 have developed more efficient ways to share and compress this information, reducing memory costs while maintaining performance. However, when memory runs out, older conversations may disappear, leading to delays or degraded responses.

AI currently lacks a true medium-term memory, relying instead on external systems to compensate for memory gaps. These systems store conversation logs and relevant information but do not integrate seamlessly with the AI's processing. The article also discusses the challenges of summarizing and compacting information, which can lead to loss of important details.

Looking ahead, the evolution of AI memory raises questions about what information will be preserved or lost and whether AI models will eventually gain more control over their memory management. The piece concludes by emphasizing the importance of understanding the implications of how AI remembers, as it shapes user interactions and experiences.

Cohere has launched Transcribe, an advanced open-source automatic speech recognition (ASR) model designed for practical use. It aims to provide high accuracy in transcribing speech, making it suitable for various applications like meeting transcriptions and customer support. The model was built from the ground up to minimize errors in transcription while ensuring it is ready for real-world use.

Key Features:

• Performance: Transcribe is currently the top-ranked model on HuggingFace’s Open ASR Leaderboard, achieving an impressive average word error rate (WER) of 5.42%.
• Architecture: It uses a conformer-based design, processing audio input to produce text output, and supports 14 languages including English, French, Chinese, and Arabic.
• Open Source: Users can download and utilize the model with full control over infrastructure, either locally or via Cohere’s managed inference platform, Model Vault.
• Efficiency: It delivers high accuracy with fast processing speeds, making it suitable for real-time applications.

Cohere Transcribe has been positively evaluated for its performance in real-world scenarios, maintaining accuracy and usability across various speech tasks. It is available for download on Hugging Face, with options for local setup or access through an API for experimentation. For production use, dedicated deployment options are available.

In April 2026, the Estonian government, along with private investors and key figures from Estonia's tech history, is reportedly planning to buy back Skype from Microsoft. The goal is to relaunch Skype as a secure European communications platform, supporting Europe's digital sovereignty.

Skype, founded in 2003, was a pioneer in internet calling and video chat, becoming one of Europe's notable tech successes. After being acquired by Microsoft in 2011, it was shut down in 2025 as users transitioned to Microsoft Teams.

The new plan aims to establish Skype in Tallinn as an independent European company, offering encrypted messaging and secure communication tools for various sectors, including governments and businesses. The initiative is inspired by the belief that Europe needs its own digital infrastructure, starting with a platform people remember fondly.

The relaunched Skype could initially target public-sector users, with features like EU-based cloud hosting and secure cross-border calls. There are discussions of a premium version called "Skype Sovereign." If successful, the headquarters would be in Tallinn, with a development center in Tartu. Microsoft has not commented on the potential deal.

Summary of Spotify's Measures Against AI Impersonation and Related News

Spotify is addressing the issue of AI-generated music that impersonates real artists. Many artists who left the platform found their music reappearing as poor imitations, attracting streams and revenue meant for the original creators. To combat this, Spotify introduced a new feature called "artist profile protection," allowing artists to review and approve any tracks that appear on their profiles. This aims to prevent unauthorized releases and confusion among listeners. However, artists must actively manage their profiles, which could delay legitimate releases.

The rise of AI tools has made it easier to create convincing music imitations, raising concerns about identity theft in the digital age. Other notable incidents include British singer Jorja Smith discovering her voice was cloned for a viral song without her consent.

In related news, Anthropic, an AI company, is in a legal battle with the Pentagon regarding government contract restrictions. A judge expressed concern over the Pentagon's actions, suggesting they may be retaliatory.

Additionally, Meta was ordered to pay $375 million for misleading users about the safety of its platforms in a case involving child safety. This case could set a precedent for holding social media platforms accountable for their design choices that affect users.

Overall, while Spotify's new measures are a step in the right direction, challenges surrounding digital identity and content authenticity persist across the internet.

The article discusses the challenges and consequences of Xi Jinping's authoritarian rule in China. While some, like Donald Trump, admire Xi's strong leadership style, the reality is that Xi's ruthless approach is weakening China. His recent removal of military leaders, including General Zhang Youxia, highlights a dangerous trend of purging allies, which creates instability in the military and government.

Xi has centralized power by sidelining rivals and promoting loyalty over experience, which limits diverse viewpoints and effective decision-making. This has led to poor economic choices and a decline in China's global economic position, with GDP falling from 18.5% of the global economy in 2021 to 16.5% in 2023.

Despite his intentions to create stability, Xi's actions are causing uncertainty and chaos within China. The article suggests that aspiring authoritarian leaders should learn from Xi's mistakes, as absolute power can lead to significant governance challenges.

Last summer, Tiger Data, a Postgres cloud vendor focused on timeseries data, faced a challenge in expanding into AI workloads. They needed a hybrid search solution for Postgres but found that existing options, like the ParadeDB extension, had limitations. Creating their own extension seemed difficult and time-consuming.

However, the author realized that with new AI development tools and his 25 years of experience, he could tackle the project faster than expected. Instead of taking a year, he aimed to complete it in one quarter, eventually finishing in two quarters with help from the community after releasing a pre-version of the software.

The result is pg_textsearch v1.0, which is now available as open-source. In benchmarks, it performed significantly better than ParadeDB and Tantivy, achieving 4.7 times more query throughput. The author reflects on the rapid changes in technology that allow for ambitious projects. The benchmark details are shared in their GitHub repository, and the author welcomes questions.

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The article discusses the use of Tailscale exit nodes, which allow users to route their internet traffic through a specific device, acting like a VPN. Here are the key points:

1. What is an Exit Node?
   An exit node changes the way your device connects to the internet, sending all traffic through a selected device instead of your local network. This allows your internet traffic to appear as if it’s coming from the exit node’s public IP.

2. How Tailscale Works:
   Tailscale is built on WireGuard and operates as a mesh network. It uses a control plane for device management and a data plane for secure connections. Exit nodes act similarly to traditional VPNs but with some differences in routing.

3. Traffic Routing:
   When an exit node is enabled, all internet-bound traffic is sent through the Tailscale tunnel to the exit node, which then accesses the internet. This provides privacy as the exit node's IP is visible to websites instead of the user's local ISP IP.

4. Trust Boundaries:
   Using an exit node shifts trust from the current network (like public Wi-Fi) to the home device acting as the exit node. This means the exit node can see some traffic metadata, but not the content of encrypted connections.

5. Comparison with Other VPNs:
   Tailscale provides more control and fewer setup challenges compared to self-hosted VPNs like OpenVPN. It avoids issues like dynamic IP addresses and complex port forwarding.

6. DNS and Visibility:
   When using an exit node, DNS queries can be routed through a home DNS server, allowing for better tracking of DNS activity and enhanced security features like ad-blocking.

7. Exit Node vs. Subnet Router:
   An exit node routes all internet traffic through it, while a subnet router only routes private network traffic. Users can choose which setup suits their needs.

8. Conclusion:
   The author now understands that an exit node effectively turns Tailscale into a full-tunnel VPN, allowing for controlled and secure internet access through their home network.

Overall, Tailscale exit nodes offer a practical solution for remote access and privacy without the complexity of traditional VPN setups.

The blog post discusses the author's experience digitizing photos from the 1998 Game Boy Camera. The author, a retro game collector, shares their excitement about obtaining this nostalgic device, which allowed users to take low-quality digital photos but had a unique charm.

The Game Boy Camera can store only 30 photos, and to print more, users needed a Game Boy Printer, which used thermal paper that faded over time and is now hard to find. To digitize the photos effectively, the author learned about an open-source project called the Arduino Gameboy Printer Emulator. This project allows users to emulate the printer and extract image data through an Arduino device.

The author successfully assembled the necessary hardware and, thanks to existing community solutions, was able to digitize the photos without complications. They also highlight a tool that allows users to change the color schemes of the images to match different Game Boy models. The post concludes with a showcase of the author's recently digitized photos.

The article discusses the complexities of detecting a Floating Point Unit (FPU) in Intel's 286 and later CPUs. Initially, FPUs were optional add-ons for early PCs, and the detection mechanisms have evolved over time.

Key points include:

1. FPU Detection Process: The detection process relies on executing specific FPU instructions. If an FPU is absent, these instructions generally do nothing or can cause issues, making detection tricky.

2. Instruction Behavior: The 286 and later CPUs do not treat FPU instructions as simple no-ops. Instead, they may still interact with memory in unexpected ways, even without an FPU present.

3. Interface Changes: The interface for the 80286 and 80287 was different from the original 8086/8087, leading to a more complex FPU detection process. The newer designs also eliminated the need for explicit waiting instructions between CPU and FPU operations.

4. Handling Errors: Errors related to memory access during FPU operations could lead to serious issues, especially on the 286, where certain interrupts are non-restartable.

5. Practical Detection Method: The article suggests a method for safely detecting if an FPU is present without causing system hangs by using specific instructions and checking status words.

In summary, while detecting an FPU presence is well-documented, detecting its absence involves navigating undocumented CPU behaviors, making it a nuanced challenge in early Intel architecture.

Summary of the Making of Burrito Bison: Launcha Libre

The game's creators decided to develop Burrito Bison: Launcha Libre after their previous game, Toto Temple Deluxe, underperformed financially. They aimed to incorporate new features and adapt to the free-to-play (F2P) mobile market. Released in November 2016, it has seen significant success on mobile platforms.

Key Points:

• Background: The Burrito Bison series is popular, but the team faced financial struggles after their last game. They sought a quick solution to regain stability.
• Development Strategy: They leveraged previous success with Burrito Bison Revenge, which won a popularity contest on Kongregate, to secure funding for the new game.
• Game Features: The new game introduces improved gameplay mechanics, new characters (launchadores), and a vibrant Mexican setting, moving away from the previous Candyland theme. They also added real cooking recipes as collectible rewards.
• Gameplay Improvements: Changes include removing distracting HUD elements, enhancing mini-games, and revamping the launch system to provide clearer player feedback.
• Financial Success: Upon release, the mobile version significantly outperformed the web version, achieving high ratings and millions of downloads. The game has successfully restored the company’s financial health and allowed for future planning.

Overall, the team is pleased with the positive reception and hopes the game will maintain its popularity like its predecessors.

The text discusses the creation and evolution of a JavaScript library called Axios, which simplifies making HTTP requests. It highlights how Axios was developed by Matt Zabriskie as a more user-friendly alternative to the native XMLHttpRequest. Over the years, Axios has gained popularity, but a new standard called fetch has emerged, offering a modern promise-based API for similar tasks.

The author suggests that there are benefits to using a simple wrapper around the fetch API instead of Axios, including:

• Easier to learn
• Smaller file size
• Fewer issues with package updates
• Faster bug fixes
• Simplicity in design

The author provides examples of how to create a basic fetch wrapper that handles GET and POST requests, manages errors, and includes support for authenticated requests using tokens stored in local storage. Additionally, they explain how to handle token expiration by logging users out if a 401 status is returned.

The conclusion encourages developers to consider building their own simplified fetch wrapper tailored to their specific needs, rather than relying solely on Axios, especially for browser applications. The author acknowledges that while Axios is excellent for certain projects, custom solutions may be more efficient for others.

forkrun is a new tool developed over 10 years to make running tasks in parallel faster in shell environments. It improves upon traditional methods by being a more efficient alternative to tools like xargs -P and GNU Parallel. Key features include:

• Speed: On a powerful 14-core processor, forkrun can handle over 200,000 tasks per second, compared to just 500 for GNU Parallel. It utilizes nearly all CPU cores effectively, even with little work to do.
• Performance: For high-frequency tasks, forkrun is typically 50 to 400 times faster than GNU Parallel.
• Advanced Techniques: It uses several sophisticated methods to achieve this speed:
  • NUMA Optimization: It efficiently allocates memory based on the CPU's architecture.
  • SIMD Scanning: It quickly finds data boundaries using advanced processing techniques.
  • Lock-Free Operations: Workers claim tasks without traditional locking mechanisms, reducing delays.
  • Smart Memory Management: It effectively manages memory usage without disrupting processes.

In its fastest mode, forkrun can process over 1 billion lines per second. It is easy to use, requiring only two simple commands to run. It is available as a single bash file with no additional installations needed, and users can find benchmarking results and detailed documentation on its GitHub repository.

CSS or BS? Game Overview

• Objective: Identify whether a given CSS property name is real or made up.
• Format: The game consists of 20 rounds that progressively get harder.
• Challenge: The CSS specification has over 600 properties, making it difficult to distinguish between real and fake ones.

Gameplay Highlights:

• Players earn feedback based on their answers, ranging from basic confirmations to complex insights about CSS properties.
• Players can experience a mix of encouragement and playful teasing based on their performance.
• The game emphasizes the confusing nature of CSS, where some fake property names sound plausible due to the quirky naming conventions.

Scoring:

• Players receive a final score based on their performance, which reflects their CSS knowledge level—from beginner to expert.
• Comments on performance range from humorous critiques to high praise for exceptional knowledge of obscure CSS properties.

Conclusion: The game is designed to be fun, educational, and a bit challenging, highlighting both the vastness and the eccentricities of CSS. Players are encouraged to play again to improve their scores and knowledge.

Summary of "What is Copilot Exactly?"

Copilot is a Microsoft tool that many people find useful for improving their workflow. Initially, the author was skeptical but decided to try it for a week. They found that it helped automate tedious tasks like meetings and report writing. However, after sharing their positive experience, they discovered that their coworker had actually meant a different version of Copilot, specifically for coding in Visual Studio Code, not the one used in Microsoft Teams.

There are several types of Copilot:

1. GitHub Copilot - For coding assistance.
2. Copilot for Microsoft 365 - Integrated with Microsoft Office apps.
3. Windows Copilot - An AI assistant for the Windows operating system.
4. Copilot Chat - A general-purpose tool for writing and brainstorming.

The author realized that they had misunderstood the different versions and that their coworker was using "Copilot" as a generic term for any AI assistant, similar to how people refer to all tissues as "Kleenex." This experience highlighted the confusion around the various Copilot tools and the importance of understanding what each one does.

The text contains information about a post related to the U.S. military and Navy, focusing on topics like the Vietnam War and the Iran War, particularly in the context of the Strait of Hormuz. It includes details such as the author, tags, and a scheduled date of March 31, 2026. The post is identified by a specific ID and is part of a larger collection of sections.

Summary of Intel's Binary Optimization Tool (BOT) Analysis on Geekbench 6

On March 31, 2026, John Poole presented findings from a week-long investigation into Intel's Binary Optimization Tool (BOT), which enhances performance by modifying executable instructions but is limited to specific applications like Geekbench 6.

Key Findings:

1. Startup Delays:

   • With BOT enabled, Geekbench 6.3 has a significant 40-second startup delay for the first run, which shortens to 2 seconds for subsequent runs. This delay disappears when BOT is disabled.
   • Geekbench 6.7 consistently has a 2-second delay with BOT enabled, which also disappears when disabled.

2. Performance Gains:

   • Geekbench 6.3 shows a 5.5% increase in both single-core and multi-core scores when BOT is enabled.
   • Specific workloads, like Object Remover and HDR, see score increases of up to 30% with BOT. However, Geekbench 6.7 shows little to no performance change with BOT.

3. Instruction Analysis:

   • Using Intel’s Software Development Emulator (SDE), the analysis of the HDR workload revealed that BOT significantly reduced total instructions by 14% and greatly increased the use of vector instructions, indicating more advanced optimizations than publicly documented.

4. Concerns:

   • While BOT improves performance, it does so by transforming the code into optimized versions that may not represent typical application performance. BOT only supports a few applications, leading to potentially misleading benchmark results that favor Intel processors over competitors.

5. Future Steps:

   • Geekbench will flag results influenced by BOT to inform users about the optimizations affecting performance comparisons. A new version of Geekbench 6.7 will help identify when BOT is running.

In conclusion, while Intel's BOT can enhance benchmark scores, it raises questions about the realism of these results in everyday usage, which will continue to be addressed in future Geekbench updates.

Summary of the 6o6 v1.1 Update

On March 28, 2026, an update for the 6o6 virtualization library was released, enhancing its performance for emulating a 6502 CPU using another 6502 CPU. This library, first created over 20 years ago for the KIM-1 emulator, allows for a more efficient execution environment for systems like the Commodore 64 and Apple II.

Key Improvements:

• Performance Enhancements: The update improves the efficiency of addressing modes and optimizes instruction handling, resulting in faster execution and reduced instruction counts.
• New Features: It includes options for better control over interrupt flags and faster memory access to the zero page.
• Examples: New demonstration programs were added to showcase the library's capabilities, including an Apple-1 emulator.

Apple-1 Emulator Context: The Apple-1, launched in 1976, is notable for its simple design and historical significance, being the first product of Apple Inc. It utilized the affordable MOS Technology 6502 chip and is now a sought-after collector's item.

Technical Insights:

• The virtualization works by creating a virtual machine (VM) that manages memory and executes guest instructions through a controlled interface.
• The 6o6 library has been stress-tested to ensure it adheres to the original 6502 instruction set, showing significant efficiency improvements in its latest version.

Future Plans: There are plans to further streamline memory management and improve stack operations in future updates to the 6o6 library.

Overall, this update marks a significant step in enhancing vintage computing emulation, particularly for the Apple-1 and similar systems.

The author is looking for useful tools or resources that can improve productivity and make development work easier. They feel stuck in their current routines and are seeking a refreshing change. They hope to discover enjoyable tools that are not based on AI.

Witold Więcek discusses major works of literature written by authors over the ages of 65, 75, and 85. He notes that few significant works are published by authors in these age groups. For instance, Thomas Pynchon, at 88, recently released a new novel that wasn't highly regarded. He researched and compiled a list of major works using AI, finding that while authors are living longer, there are few notable works from those over 80.

He lists some significant works from authors aged 65 and older:

• Victor Hugo - Ninety-Three (72)
• Thomas Mann - Doctor Faustus (72)
• Boris Pasternak - Doctor Zhivago (67)
• Katherine Anne Porter - Ship of Fools (72)
• José Saramago - Blindness (73)
• Cormac McCarthy - No Country for Old Men (72), The Road (73)
• Hilary Mantel - The Mirror and the Light (68)

Witold emphasizes the lack of major works from older authors, with the oldest on his list being 73. He invites readers to suggest additional titles and reflects on the trend of fewer new major works from younger authors.

The source code for Claude Code has been leaked through a map file found in their NPM registry. This event is part of an ongoing discussion. For more information, you can check the threads on Hacker News and the website CCleaks.

Summary of Monaspace Custom Fonts Case Study by Lettermatic

In August 2021, GitHub's experimental team, GitHub Next, approached Lettermatic to discuss typography for code editors. They recognized a lack of variety in fonts for coding and sought to create Monaspace, a set of five interchangeable custom typefaces specifically for developers.

Key Features of Monaspace:

• Five Typeface Families: Monaspace includes Argon (humanist sans), Neon (grotesque sans), Xenon (slab serif), Radon (script-like), and Krypton (mechanical sans).
• Customization Options: Each typeface offers 42 static styles and supports variable weights, widths, and slants. Users can personalize fonts to meet their needs.
• Texture Healing Technology: This feature enhances legibility by adjusting the width of letters based on their context, maintaining a consistent monospace grid.
• Extensive Language Support: Monaspace supports over 200 languages, including Cyrillic, Greek, and Vietnamese, and includes numerous symbols for various applications.
• Open Source: All Monaspace fonts are free to download, promoting accessibility and collaborative contributions.

Monaspace aims to improve the coding experience by allowing developers to customize their font appearance and enhance readability while maintaining a clean layout. The project reflects a commitment to accessibility and personalization in typography.

German teams have stopped their rescue efforts for a whale that was stranded off the Baltic coast.

Summary of Combinators

A combinator is a type of function or operator that uses its inputs (arguments and operands) without changing them.

Here are some examples of combinators with their names and functions:

• I (Identity): Returns its input unchanged.
• K (Kestrel): Takes two inputs and returns the first one.
• κ (Kite): Takes two inputs and returns the second one.
• W (Warbler): Applies a function to its second input.
• C (Cardinal): Applies a function to its first input.
• B (Bluebird): Combines two functions and applies them to inputs.
• Q (Queer): Similar to Bluebird but with a specific order.
• B1 (Blackbird): Applies a function to two inputs in a specific way.
• Ψ (Psi): Combines functions with inputs in a unique manner.
• S (Starling): Uses a function and combines its inputs.
• Σ (Violet Starling): Similar to Starling but with an additional operation.
• D (Dove): Applies functions in a specific order.
• Δ (Zebra Dove): Combines functions with a specific input order.
• Φ (Phoenix): Combines multiple functions with inputs.
• P (Parrot): Swaps and applies functions to inputs.
• N (Eastern Nicator): Applies a function to two inputs in a specific way.
• ν (Western Nicator): Applies a function to the second input.

Some other functions also behave like combinators. The names of some combinators are inspired by birds, referencing a work by Raymond Smullyan.

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Summary of TimesFM

TimesFM (Time Series Foundation Model) is a pretrained model created by Google Research, designed for forecasting in time-series data.

• Model Details:

  • The latest version is TimesFM 2.5, which has improvements over version 2.0.
  • It uses 200 million parameters (down from 500 million) and can handle longer context lengths (up to 16,000).
  • It supports continuous quantile forecasting and has new features for better forecasting.

• Updates:

  • Covariate support was added back to version 2.5 as of October 29, 2025.
  • The inference API has also been upgraded.

• Installation:

  • Clone the repository and set up a virtual environment to install TimesFM using the command line.
  • You can install it with support for different backends like PyTorch or Flax.

• Code Example:

  • A simple code snippet is provided to demonstrate how to use TimesFM for forecasting, including setting up the model and generating forecasts.

For more information, you can find all checkpoints and documentation on the official TimesFM Hugging Face Collection and Google Research blog.

NASA plans to launch the Artemis II mission, sending four astronauts around the moon. However, there are significant safety concerns regarding the Orion capsule's heat shield, which suffered serious damage during a previous mission. This damage includes large chunks blowing off and erosion of critical bolts that could lead to catastrophic failures during re-entry.

Originally, NASA attempted to downplay these issues, stating the spacecraft performed well, but it was later revealed that the heat shield had deep gouges and holes. An independent review identified three major risks that could jeopardize the crew's safety: heat shield spalling, potential impacts from debris, and erosion of separation bolts.

Despite these dangers, NASA is proceeding with the Artemis II flight, citing a change in re-entry trajectory as a solution. They also plan to switch to a new heat shield design for future missions, raising questions about the safety of the current design. Critics, including former NASA officials, argue that the agency is ignoring serious risks and that flying with astronauts is unnecessary given the program's timeline and safety concerns.

Overall, there are fears that NASA's urgency to meet deadlines may compromise astronaut safety, reminiscent of past disasters in the space program. The mission is set to proceed, but many are worried it might take a tragedy to prompt necessary changes.

A few years ago, the term "slop" emerged to describe the low-quality AI-generated content, such as text and images, filling the internet. Simon Willison helped popularize this term, which had been used in engineering circles before.

At Greptile, we are concerned about whether this "slop" will dominate the future of programming. However, I believe that AI will produce good code due to economic reasons. Good code is cheaper to create and maintain, and as competition among AI models increases, those that generate reliable, simple, and maintainable code will succeed. In the long run, markets will not reward poor coding practices.

Currently, software development is evolving rapidly. Ryan Dahl, the creator of Node.js, suggests that human coding may be nearing its end. The complexity of software is rising, with data showing that the amount of code produced per developer has significantly increased due to AI tools. While this means more code is being shipped, there is concern that low-quality code is also being deployed, leading to software problems and system outages.

John Ousterhout argues that good code is simple and easy to modify, while bad code is complex and hard to work with. This idea applies to AI-generated code as well. Good code is more efficient and cost-effective, requiring fewer resources to maintain. As AI coding technology matures, economic pressures will likely push models to produce better quality code to remain competitive.

In summary, we are in an early phase of AI coding adoption. As the technology improves and competition grows, economic incentives will encourage AI to generate simpler, higher-quality code.

Ollama has introduced a new version, powered by Apple's MLX machine learning framework, specifically for Apple Silicon devices. This update boosts performance for tasks like personal assistance and coding, making applications like OpenClaw respond faster.

Key improvements include:

• Speed Increase: Ollama 0.19 offers significantly faster processing times, achieving 1810 tokens per second in prefill and 112 tokens per second in decoding.
• Use of NVFP4 Format: This new format enhances response quality while reducing memory needs, allowing Ollama to perform like it would in a production setting.
• Improved Caching: Upgraded caching techniques lead to better efficiency and responsiveness, with lower memory usage and quicker responses.

To use the new features, users need a Mac with over 32GB of unified memory. The update is available for download, and future models and support for custom models are being developed.

Thanks are given to the contributors from MLX, NVIDIA, and other teams involved in this enhancement.

Summary: Understanding CTEs in PostgreSQL

1. What is a CTE?

   • A Common Table Expression (CTE) is a temporary result set defined within a SQL statement. It is created using the WITH clause and simplifies complex queries by allowing easier management of subqueries.

2. Changes in PostgreSQL 12:

   • Prior to PostgreSQL 12, CTEs were treated as "optimization fences," meaning they always materialized and could not utilize indexes or other optimizations.
   • From PostgreSQL 12 onward, CTEs can be inlined (optimized like subqueries) or materialized, depending on how they are referenced and their content.

3. When is a CTE Materialized?

   • A CTE is materialized if:
     • It is referenced multiple times.
     • It contains data-modifying statements (INSERT, UPDATE, DELETE).
     • It calls VOLATILE functions (which can yield different results).
   • A CTE is inlined if it has a single reference and no side effects.

4. Advantages of Materialization:

   • Useful for expensive computations that are referenced multiple times, as it avoids redundant calculations.
   • Ensures predictable execution order for data-modifying operations.

5. Limitations and Considerations:

   • Materialized CTEs have no statistics, which can lead to poor query planning.
   • Inlining generally offers better performance and accuracy by leveraging existing table statistics.
   • Developers often structure queries sequentially, which can hinder optimization even if CTEs are inlined.

6. Writable CTEs:

   • Allow data modifications within a CTE, enabling operations like DELETE followed by INSERT in a single statement.
   • However, one must be cautious as changes made in one CTE are not visible to others until the RETURNING clause is used.

7. Performance Tips:

   • Use NOT MATERIALIZED for CTEs that don't need to be materialized to maintain optimization benefits.
   • Consider using temporary tables for large result sets requiring indexes or statistics.

8. PostgreSQL 18 Enhancements:

   • Improved diagnostics for memory and disk usage in CTEs.
   • Better handling of query plans involving multiple CTEs referencing the same base table.

In summary, while CTEs are valuable for organizing complex queries, understanding their behavior in terms of materialization versus inlining is crucial for optimizing performance in PostgreSQL.

The author has spent a year developing a marketplace web application for a client, handling everything from the frontend to integration with suppliers and payment systems. They built the project using open-source tools and led the technical direction while also using AI tools to assist with coding tasks.

Recently, the client decided to use an AI-powered no-code platform for their own smaller projects and wanted to apply this approach to the marketplace project. Despite the author's attempts to warn them against this decision, the client proceeded, leading to significant changes in the codebase. While the new features are functional, they have negatively impacted the application's performance and maintainability.

The author feels frustrated and has lost enjoyment in the project, but recognizes it may be too early to give up completely. They are seeking advice on how to navigate this situation and wonder if others have faced similar challenges with AI affecting their work on projects.

Summary:

SolveSpace is mainly desktop software but can also run in web browsers using a technology called emscripten. While it works well for smaller models, there may be slower performance and some bugs compared to the desktop version. This web version is experimental, so users might encounter issues not found in the desktop version. Users can report bugs and can host their own copy of the web version without needing internet access after loading it.

GitHub has a record of high reliability, as shown by its uptime statistics. This information comes from their official status page, which provides details on their performance.

The author thought about rewriting Claude Code as a bash script, even though it wasn't a common idea. They decided to experiment by simplifying the source code and removing all the extra packages.

Summary of Microsoft Copilot Terms of Use

Effective October 24, 2025, Microsoft has updated its Terms of Use for Copilot, its AI companion. Here are the key points:

1. Clarifications and Additions: The terms clarify when they apply to Copilot services, and new terms have been added for Copilot Actions, Labs, and Shopping experiences. The Code of Conduct has also been revised for clarity.

2. User Agreement: By using Copilot, you agree to the Terms. It's important to read them carefully, especially if you live in the U.S. due to the binding arbitration clause.

3. Usage Guidelines:

   • Copilot is available through various Microsoft and third-party platforms.
   • Users must be at least 13 years old (or older in some regions).
   • Copilot is intended for personal use only; automated tools for access are prohibited.

4. Limitations: Copilot may make mistakes and provide inaccurate information. Users should verify responses and report any inappropriate content.

5. Code of Conduct: Users must not use Copilot to harm others, violate privacy, infringe rights, engage in illegal activities, or create inappropriate content.

6. Shopping Experience: Purchases made through Copilot involve third-party merchants, and users should comply with the merchants' terms.

7. Data Use: Microsoft may use user content to operate and improve Copilot. Users retain ownership of their content but grant Microsoft permission to use it.

8. Indemnity: Users are responsible for any claims or issues arising from their use of Copilot.

9. Updates to Terms: Microsoft may update the Terms for various reasons, and users must agree to the updates to continue using Copilot.

For a complete understanding, users should refer to the full Terms of Use.

Summary of "Remembering Magnetic Memories and the Apollo AGC"

In the 1960s, NASA engineers decided to control spacecraft using a combination of human decision-making and digital technology, leading to the development of the Apollo Guidance Computer (AGC). This computer had to handle complex calculations and operate reliably in harsh space conditions.

Key Developments in Memory Technology:

1. Magnetic Memory Evolution: As digital computing advanced, engineers sought more efficient memory technologies, leading to innovations in magnetic memory. By the 1970s, semiconductor memories became more prevalent, but early magnetic memories were crucial for the Apollo missions.

2. Apollo Guidance Computer (AGC): The AGC needed to quickly process data from various sensors to keep the spacecraft on course. It used both read-only memory (ROM) and temporary random-access memory (RAM).

3. Types of Magnetic Memory:

   • Transformer Read Only Storage (TROS): Developed in 1945, it used ferrites to encode data.
   • Core Rope Memory: Used in the AGC, it allowed high-density storage but was expensive to manufacture.
   • Magnetic Core Memory: Invented in the early 1950s, it was read/write and reliable but faced limitations in miniaturization.
   • Magnetic Tape Memory: First commercialized in 1951, it provided expandable storage but had risks of data loss due to magnetism.
   • Bubble Memory: Developed in the late 1960s, it offered high density and non-volatility but was costly and complex.

Conclusions: The development of these magnetic memories reflects the changing needs and technological capacities of the time. While modern spacecraft now rely on electronic memories, the evolution of memory technology continues as data storage requirements grow. There is also a call to preserve the history of these obsolete technologies as cultural artifacts.

In February 2026, the author experienced a major computer issue after unintentionally creating a "fork bomb" using Claude Code, which overwhelmed their computer and caused it to become unresponsive. This incident happened after a late-night coding session when the author left their terminal running. The next day, they discovered that their computer was slow and hot, eventually realizing that their code was spawning multiple instances of a process, leading to system failure.

Despite the chaos, the author was relieved to find that their API usage bill was not as high as expected, thanks to the inefficient coding that prevented excessive charges. Throughout the month, the author experimented with coding and built various tools to improve their workflow, including skills for logging conversations, managing tasks, and minimizing unnecessary context in AI interactions.

Overall, the author learned valuable lessons from the experience and reflected on their coding journey, emphasizing the importance of mastering new workflows to avoid being left behind in their field.

Summary: Inside the Self-Driving Lab Revolution

AI-powered robots, like the robotic scientist Eve, are taking on tasks traditionally performed by humans in scientific labs. Developed by Ross King, Eve automates early-stage drug design, achieving significant results, such as identifying potential treatments for malaria.

Self-driving labs, which integrate AI and robotics, are expected to change how science is conducted by moving from a craft-based approach to a factory-like model. While this technology is still evolving, it is already helping researchers plan experiments and analyze data more efficiently.

Various companies and research institutions are exploring the capabilities of self-driving labs. For instance, the Acceleration Consortium in Canada operates multiple autonomous robots, and startup Lila Sciences is developing an automated lab to assist pharmaceutical research.

Despite the advancements, robots cannot fully replace human scientists, especially for tasks requiring dexterity or complex decision-making. However, they are beginning to tackle more complicated experiments, thus improving efficiency and reducing costs in research. As these technologies continue to develop, they promise to transform the scientific landscape, making research faster and more cost-effective.

The text includes a link to a status update about a topic related to "The Claude Code Source Leak," which discusses issues like fake tools and frustrations in regex (regular expressions) and undercover mode. There is also a related link to a discussion on Hacker News.

The author created a tool called Baton to manage multiple Claude Code agents more easily. They found it difficult to keep track of their work when using different IDEs and terminal windows for various tasks. Baton allows users to see all their agents and workspaces in one place, switch between them easily, monitor their progress, and review changes when finished. It also enables quick setup of new agents for new ideas. The author has been developing Baton using the tool itself and is eager to get feedback on it.

The text reflects on the evolution of engineering and knowledge transfer, particularly in aerospace, drawing from the author's father's experiences. It emphasizes how early engineers, like the author's father, thrived on simplicity and hands-on problem-solving, often using basic materials and methods to achieve complex goals. The author highlights that the Air Force had its own space program before NASA, and that many technical skills were learned through practical experience rather than formal education.

The narrative points out a shift in modern aerospace, particularly with NASA's Artemis program, where a lack of basic understanding among leaders resulted in complex solutions that may not be effective. It compares this to a past era when engineers prioritized simplicity and redundancy to ensure safety and reliability, as exemplified in Apollo's design philosophy.

The author warns that as technology evolves, like the rise of AI, there's a risk of losing foundational knowledge and the ability to ask essential questions about systems. The key takeaway is the importance of maintaining simplicity, redundancy, and a focus on basic principles to ensure effective problem-solving and knowledge transmission across generations. The text encourages readers to actively engage with existing knowledge and not to overlook fundamental concepts in their fields.

Nematophagous fungi are a type of carnivorous fungus that specialize in trapping and digesting nematodes, which are small roundworms. There are over 700 known species of these fungi. They catch nematodes using various methods, such as glue traps, constricting rings, and toxins that immobilize the nematodes.

These fungi thrive in nitrogen-poor environments and can be found worldwide, particularly in soils, leaf litter, and shallow waters. They play a role in controlling nematode populations that harm crops. For example, the fungus Purpureocillium can act as a bio-nematicide against harmful nematodes like Meloidogyne incognita.

Nematophagous fungi use different strategies to capture nematodes, including mechanical traps and chemical toxins. Some species can even sense the presence of nematodes nearby and only build traps when they are detected. Their ability to attract prey and immobilize them makes them significant in biological pest control efforts.

Users of Anthropic's AI coding assistant, Claude Code, are facing unexpected high token usage and quickly hitting usage limits, disrupting their work processes. Anthropic has acknowledged that users are reaching these limits faster than anticipated and is prioritizing a solution.

Many users, including those on the Claude Pro subscription, report that their quotas are exhausted early in the week, leaving them with limited access. Online forums are filled with complaints about excessive token consumption, with some users stating that they used up their limits in just a few hours.

Several factors may contribute to this issue: Anthropic recently reduced quotas during peak hours, which affects some users; a recent promotion that doubled usage limits has ended; and potential bugs in Claude Code may be causing increased token usage. Some users have found that downgrading to an older version of the software improved their experience.

The documentation about usage limits is vague, making it difficult for developers to understand their actual quotas. Users are also encountering problems with automated workflows that can quickly deplete their budgets due to unforeseen rate-limit errors.

Overall, there appears to be a growing tension between users wanting to manage costs and providers needing to profit, as well as a disconnect between the promotion of AI tools and the limitations in their usage.

The article discusses concerns about government apps that collect excessive data, often more than necessary for their functions. Here are the key points:

1. Government Apps with Tracking Features:

   • The White House app uses a Chinese tracking tool and requests extensive permissions, such as GPS and biometric access.
   • The FBI app includes ad tracking and has multiple permissions, causing privacy concerns.
   • FEMA's weather app requests 28 permissions, significantly more than similar apps.

2. Data Collection by Agencies:

   • The Customs and Border Protection app has dangerous permissions, including background location tracking and full access to user data.
   • ICE uses a facial recognition app that accesses a vast database, including images from various sources.
   • Certain government agencies purchase location data from private companies, bypassing legal restrictions.

3. Privacy Violations:

   • The IRS mistakenly shared tax data with ICE, including names that should not have been disclosed.
   • A significant portion of privacy recommendations made by the Government Accountability Office (GAO) have not been implemented.

Overall, these apps are criticized for their invasive data collection practices, raising serious privacy concerns for users.

Super Micro Computer is facing challenges despite strong sales growth and partnerships, especially with Nvidia. Investors are worried after the company's co-founder, Yih-Shyan "Wally" Liaw, was indicted for violating US export laws to China, leading to a drop in stock prices. Although shares rose by 5.4% recently, they have decreased by about 63% since July 2023, making Super Micro one of the worst performers in the S&P 500.

The company has a history of financial reporting issues, including a near delisting from the Nasdaq last year. Currently, Super Micro's stock price is around $21, down 27% this year, with a mix of buy and sell ratings from analysts. However, some investors remain optimistic due to the company's anticipated revenue of over $40 billion for fiscal 2026, a significant increase from the previous year. The stock is priced at a low valuation compared to the S&P 500 and Nasdaq, which may attract cautious investors.

GitHub has decided to remove the feature that allowed its AI tool, Copilot, to insert advertisements, referred to as "tips," into pull requests (PRs) after receiving backlash from developers. This issue was highlighted when a developer found an ad for the productivity app Raycast in his PR, which he found inappropriate and misleading.

Initially, Copilot could add tips to its own PRs, but the new feature allowed it to insert tips into PRs created by others if Copilot was mentioned. This change was met with criticism, prompting GitHub to acknowledge that it was a mistake to let Copilot modify other users' work without their consent.

GitHub's product manager stated they were aiming to help developers learn to use Copilot better, but after community feedback, they realized this approach was poorly received. As a result, they have disabled the ability for Copilot to add tips to PRs created by others moving forward. GitHub confirmed it does not intend to include ads in its platform.

Cherri Overview

Cherri is a programming language designed for creating and maintaining large Shortcut projects in Apple's Shortcuts app. It compiles directly into runnable Shortcuts, making it easier for developers to work on complex projects.

Key Features:

• Development Tools: Work on Cherri using a laptop or desktop with tools like a command-line interface (CLI), VSCode extension, or a macOS app.
• Easy to Learn: The syntax is user-friendly and similar to other programming languages.
• Debugging Made Simple: Cherri translates closely to Shortcut actions, aiding in easier debugging.
• Action Importing: Import actions directly from your Mac.
• Built-in Package Manager: Automatically manage and update packages from remote Git repositories.
• No Magic Variables: Uses constants instead of complex variable syntax.
• Memory Optimization: Designed to create smaller Shortcuts that use less memory.
• File Inclusion: Support for organizing large projects by including files within others.
• Type Safety: Offers type checking, enums, optionals, and more for defining actions.
• Function Definitions: Create functions that run in their own scope to avoid redundancy.
• Manual Entry for Actions: Supports entering action identifiers and parameters manually.
• Various Utilities: Includes features like generating VCards, embedding files, and converting Shortcuts from iCloud links.

Resources Available:

• Cherri VSCode Extension
• Playground for trying out Cherri
• macOS IDE for building Shortcuts with a graphical interface
• Comprehensive documentation and FAQs

Installation:

Cherri can be installed via Homebrew or Nix package managers, or by downloading the latest release.

Why Cherri?

The creator wanted to provide a new Shortcuts language because existing ones had issues or were no longer maintained. Cherri aims to keep the Shortcuts programming community vibrant and functional, particularly for macOS users.

Community and Development:

Cherri is inspired by other programming languages and aims to build a community around developing Shortcuts efficiently. The project began on October 5, 2022, and continues to evolve.

The article discusses the rapid transformation of vulnerability research in cybersecurity due to advancements in AI coding agents. Over the past two years, experts have predicted that AI would lead to an increase in security vulnerabilities, and this is indeed happening, but in unexpected ways.

AI coding agents can quickly identify high-impact vulnerabilities by analyzing source code with simple prompts, drastically changing how exploit development is approached. This process is becoming automated and efficient, with AI models showing a high rate of success in discovering exploitable issues.

Historically, vulnerability research involved complex manual analysis, but AI is replacing this need by efficiently uncovering vulnerabilities across various software components. The article highlights how AI tools can find vulnerabilities in everything from web applications to operating systems, posing a significant threat to cybersecurity.

As this shift occurs, there are concerns that the industry may not be prepared for the implications of AI-driven vulnerability discovery. There is a risk that regulations will not effectively address the challenges posed by these advancements, potentially leading to misunderstandings about the nature of vulnerability research.

Overall, the landscape of vulnerability research is set to change dramatically, with AI agents likely to take over much of the work that humans currently do, raising questions about the future role of human researchers in this field. The author suggests that we are in a transitional phase before AI fully dominates vulnerability research.

The idea is to create a small server that can be placed in a basement and also heat water for the home. This would use the basement floor to absorb heat. The goal is to reduce the energy needed for cooling data centers by using basements for heat distribution and connecting them to home heating systems, making the process more efficient.

Summary of Scotty: SSH Task Runner

Scotty is a new tool for running SSH tasks and deploy scripts directly from your terminal, allowing you to see each step in real-time. It supports both Laravel Envoy's Blade format and a simpler plain bash format.

Key Features:

• User Control: Scotty is designed for users who prefer deploying to their own servers for better control and transparency over the process.
• Real-Time Feedback: When you run a task, you see live updates, including task names and execution times. If a task fails, you can immediately see the error.
• Task Definition: Tasks are defined in a .sh file using standard bash syntax, making it easy for users familiar with bash. You can also pass variables from the command line.
• Pause and Resume: You can pause execution at any time and resume or cancel as needed.
• Validation Tool: The scotty doctor command checks your server setup to ensure everything is in place before deployment.
• Migration from Envoy: Scotty can directly read existing Envoy scripts, allowing for easy transition to the new format.

Scotty is a modern and user-friendly option for managing deployment tasks and offers full control over the process. Full documentation and source code are available on GitHub.

Summary of Safe Bash Scripting Guide

This guide is designed to help users write safe and secure shell scripts in Bash, using a tool called Shellharden to identify and fix vulnerabilities. While Bash can be tricky due to its inherent quirks, the guide emphasizes that it is possible to write safe scripts by following certain principles.

Key Points:

1. Quoting Variables:

   • Always use quotes around variables to prevent unexpected behavior, especially with whitespace and wildcards.
   • Example: Use "$my_var" instead of $my_var.

2. Use of Arrays:

   • Prefer arrays over space-delimited strings for handling multiple values. This avoids issues with whitespace in filenames and makes code cleaner.
   • Example:

     files=(a b)
     for f in "${files[@]}"; do
         # process $f
     done
     

3. Safety Features:

   • Use set -euo pipefail to enforce stricter error handling in scripts.
   • Check for required commands at the start of scripts to avoid failures due to missing dependencies.

4. Command Substitution:

   • Use $(command) instead of backticks for command substitution to avoid complications with nested commands and escaping.

5. Using printf:

   • Prefer printf over echo for output to avoid issues with options and special characters.

6. Proper Script Structure:

   • Start scripts with a shebang (#!/usr/bin/env bash) for portability.
   • End scripts with an explicit exit status to signify success or failure.

7. Avoiding Implicit Shell Invocation:

   • When calling commands from other programming languages, avoid constructing shell commands as strings. Instead, use array representations to pass commands and arguments correctly.

8. Holistic Approach:

   • Understand that some scripts may need reworking to be secure. A human touch is often necessary to ensure that scripts not only remove vulnerabilities but also function correctly.

By following these guidelines, users can write safer and more reliable Bash scripts, minimizing the risk of vulnerabilities.