No summary available.

Summary of llm-min.txt: Min.js Style Compression of Tech Docs for LLM Context

Overview:

• llm-min.txt is a new format designed to improve the way AI coding assistants access and use technical documentation by providing a highly condensed version of library information. This format helps overcome limitations of AI models that have outdated knowledge due to cutoffs in learning.

Key Features:

• Structured Knowledge Format (SKF): Organizes documentation into three main sections:

  1. Definitions (D) - Static aspects like component definitions and method signatures.
  2. Interactions (I) - Dynamic behaviors like method calls and event handling.
  3. Usage Patterns (U) - Practical examples of how to use the library.

• Efficiency: The llm-min.txt format reduces token count by 90-97%, making it easier for AI assistants to process the information.

Getting Started:

1. Installation: Users can install llm-min via pip. Developers can clone the repository and set up a virtual environment.
2. API Key: Users need a Gemini API key to generate the compressed documentation.
3. Generating Files: Users can create llm-min.txt files by specifying source packages or documentation URLs.

Output Structure:

• The generated files are organized into a clear directory structure, including the original documentation, the compressed llm-min.txt, and a guideline for understanding the format.

Choosing an AI Model:

• The Gemini AI model is recommended for processing, as it effectively handles large documentation with strong reasoning capabilities.

Future Plans:

• Ideas include a repository for sharing llm-min files, using source code analysis for documentation generation, and integrating model control protocols.

FAQs:

• Reasoning Model Needed: Yes, a capable model like Gemini is essential for generating llm-min.txt files.
• Information Preservation: The format is lossy, prioritizing essential technical details over explanatory content.
• Processing Time: The generation process can be time-consuming due to its complexity, but the output can be reused efficiently.

Contributions:

• The project welcomes contributions from the community to enhance its features and effectiveness.

License:

• The project is open-source under the MIT License.

In 2011, Larry Page became CEO of Google and aimed to improve the company's meeting culture amidst its rapid growth. He introduced policies to make meetings more efficient, such as requiring a decision-maker, limiting attendees to 10, and shortening hour-long meetings to 50 minutes. However, despite these changes, many meetings still ran over time, leading to scheduling conflicts.

One engineering team noticed that many meeting rooms had free slots for the last 10 minutes of every hour because people were booking 50-minute meetings. They cleverly started booking their standup meetings during these short slots. This led to amusing encounters where they would insist on using the room despite the previous meeting's participants feeling entitled to stay longer.

The situation highlighted the challenges of enforcing new meeting policies and the humorous lengths employees would go to comply with them.

Summary of Fresh Update (May 15, 2025)

Fresh is a web framework created by Deno that simplifies website building with modern web standards. A new version, Fresh 2, is in the works and is currently being used on Deno's main website and Deno Deploy.

Key Points:

• Why Fresh 2? The original Fresh became very popular, but as projects grew larger, its codebase struggled to support new features. A new architecture was needed for Fresh 2.

• Delay Explanation: The development of Fresh 2 required improvements to the Deno platform itself to ensure better performance and compatibility with npm packages. This foundational work took time but is essential for Fresh 2's success.

• Current Status: Fresh 2 is in alpha, being tested in real production environments. The full release is expected in late Q3 2025, around September, after incorporating community feedback.

• New Features: Fresh 2 will offer a simpler API similar to other frameworks, better extensibility, true async components, and a plugin system for middleware. It will also support a precompile JSX transform for faster rendering.

• Getting Fresh 2 Alpha: Users can start using the alpha version for new projects or development. It's recommended to use it with the latest Deno 2.3 for an improved experience.

• Future Plans: Deno is excited about launching Fresh 2 and values user feedback during this testing phase as they prepare for the stable release.

For those interested, instructions are provided for creating new projects or upgrading existing ones to Fresh 2.

Summary of Wavelet Trees: An Introduction

Wavelet Trees are a data structure designed to efficiently answer rank queries on sequences with larger alphabets. They organize a string into a hierarchical structure of bit vectors, allowing for quick access to rank information. Developed by Grossi, Gupta, and Vitter in 2003, they have been widely referenced in subsequent research.

Key Points:

1. Rank Queries: A rank query counts the number of occurrences of a symbol up to a certain position. For Wavelet Trees, this can be done in logarithmic time relative to the alphabet size ($\mathcal{O}(\log_2{A})$).

2. Construction: A Wavelet Tree is built as a balanced binary tree. Each level splits the string's symbols into two groups, encoding one half as '0' and the other as '1'. This process continues recursively until only one or two symbols remain.

3. Storage: Bit vectors can be stored using RRR sequences for efficient compression and fast rank queries.

4. Querying: To execute a rank query, the tree is traversed based on the encoding of the symbols, using binary rank queries at each level.

5. Applications: Wavelet Trees can also be used for pattern searching, which involves multiple rank queries.

For those interested in practical implementation, there are existing libraries available. Further reading can deepen understanding of Wavelet Trees and their applications.

LiveSplat is a real-time algorithm that uses RGBD camera streams for Gaussian splatting. It was created as part of a larger VR telerobotics system, and there is a demo video available to showcase its output.

The developer, Mark Liu, decided to make LiveSplat publicly available after receiving interest on Reddit. It is currently in alpha quality, meaning it may not work on all machines, so users are encouraged to report any issues. LiveSplat is closed source, but businesses interested in licensing the technology can contact Mark via email.

Requirements to use LiveSplat:

• Python 3.12 or higher
• Windows or Ubuntu (other Linux systems may work)
• x86_64 CPU
• Nvidia graphics card
• One or more RGBD sensors (up to four)

Installation Instructions:

• For Ubuntu: pip install https://livesplat.s3.us-east-2.amazonaws.com/livesplat-0.1.0-cp312-cp312-manylinux_x86_64.whl
• For Windows: pip install https://livesplat.s3.us-east-2.amazonaws.com/livesplat-0.1.0-cp312-cp312-win_amd64.whl

To run LiveSplat, users need to create an integration script that connects their RGBD streams to the LiveSplat viewer, with a provided example for Intel Realsense devices.

Summary of Lua for Elixir Release

On May 12, 2025, the Elixir library Lua v0.1.0 was released, allowing users to run Lua programs on the BEAM VM without relying on the C runtime. This library is based on Luerl, which implements Lua 5.3 entirely in Erlang.

Key Features:

• Integration with Elixir: The library allows users to easily create Lua APIs using a deflua macro, enabling Elixir functions to be called from Lua.
• Compile-time Syntax Evaluation: A new ~LUA sigil checks Lua syntax during Elixir compilation.
• Documentation: Robust documentation and a Livebook are available to help users get started.

The library was developed at TV Labs to enable customers to run integration tests for devices like televisions. It simplifies executing tests without needing additional virtual machines.

Background on Luerl: Luerl was created by Robert Virding, one of the co-creators of the Erlang language, to bring Lua capabilities to the BEAM VM. The goal was to have an imperative programming option available alongside functional languages.

Future Improvements: There are plans to enhance Luerl, including better error messages, improved documentation, and deeper integration with the Lua ecosystem. The authors aim to merge the Elixir Lua library into Luerl for a future update.

For those interested in contributing, they are encouraged to join the community or report issues on GitHub.

No summary available.

No summary available.

Summary:

The author discusses a recent overhaul of their developer documentation for a tool called Trophy. They emphasize the importance of clear documentation for software engineers, even more so than the company website.

Key Points:

1. Choosing a Documentation Provider: The team evaluated several options for hosting their documentation, including GitBook, Docusaurus, and Mintlify. They decided on Mintlify for its user-friendly writing experience and cost-effectiveness, while using Fern for managing their SDKs. They recommend using the OpenAPI spec for API documentation for greater flexibility with providers.

2. Navigation Design: They focused on creating an easy-to-use navigation system with a tabbed layout, which includes:

   • Home Tab: Introduces Trophy, its features, and benefits.
   • Guides Tab: Provides practical examples and best practices for implementation.
   • API Reference Tab: Allows developers to explore and test functions.

3. Enhanced Content: The documentation includes flowchart diagrams and code snippets in multiple programming languages to aid understanding. Syntax highlighting is used for clarity.

4. Feedback Mechanism: Developers can provide feedback on the documentation directly through GitHub, allowing for continuous improvement.

5. Future Improvements: Plans include personalizing content for logged-in users, supporting more languages, and integrating AI for quicker assistance.

The documentation update took about a week, and the team is pleased with the outcome. They encourage others to reach out with questions or suggestions.

The text provides a list of sources and links related to various significant moments and developments in internet history. It includes acknowledgments for website snapshots from the Internet Archive and thanks to Dr. Olson Pook for editing assistance. The sources cover a wide range of topics, including the first email, early internet innovations like the first website and MP3, the origins of spam and memes, and notable platforms like AOL, eBay, and YouTube. Each link directs to information about the respective events or inventions that shaped the internet as we know it today.

The developer of the game "Deep Space Exploitation" shared insights on creating a pathfinding system for non-player characters (NPCs) that can navigate a dynamic environment. Here are the key points:

1. Pathfinding Requirements: The NPCs must navigate around moving and destructible objects, prefer paths that keep distance from hazards, and wrap around the game area like in "Asteroids."

2. Approach and Algorithm: The developer chose the A* search algorithm for its efficiency in finding detailed paths. They implemented a space partitioning system to reduce the number of queries needed to check if a path is blocked.

3. Dynamic Environment Handling: To adapt to real-time changes in the game world, the pathfinding algorithm caches node status but updates this cache regularly (every 500ms) to reflect the current state.

4. Natural Path Preferences: The algorithm is designed to prefer paths further from objects while still allowing closer navigation when necessary, using a proximity rating that affects traversal costs.

5. Handling Wrapped Paths: The developer ensured NPCs can navigate across borders of the game area seamlessly. They added off-screen nodes to help NPCs wrap around rather than turn back when reaching a border.

6. Efficiency Focus: To maintain game performance, the developer benchmarks and optimizes the pathfinding process, splitting complex requests over multiple game ticks to avoid delays noticeable to players.

7. Conclusion: The developer enjoyed solving these challenges independently, which led to a functioning and visually appealing pathfinding solution. Future improvements may include more efficient cache management.

Overall, the post highlights the complexity and creativity involved in developing an effective pathfinding system for a game.

The article discusses creating a Rust API inspired by Python's dynamic capabilities, particularly focusing on using the Serde library for serialization and deserialization. Here's a simplified summary of the key points:

1. Background: The author previously worked on converting Python code to Rust and aimed to replicate Python's dynamic features in Rust, particularly the ability to access attributes dynamically.

2. Python Example: The author illustrates Python's ease of querying system information using a library called WMI, which allows straightforward access to attributes of objects.

3. Rust API Design: The challenge was to create a similar user-friendly API in Rust. The initial approach involved a raw API that required users to manually check the types of values returned, making it cumbersome.

4. Improved API Concept: To enhance usability, the author proposes a design where users define custom structs for the data they want to query, allowing for a more intuitive experience.

5. Using Serde: The article introduces Serde, a Rust framework for serialization, which allows automatic generation of code needed for deserialization. By using Serde's traits, the author aims to streamline the process of creating Rust structs from data.

6. Implementation Steps:

   • Define a Queryable trait to handle object querying.
   • Use Serde's Deserialize trait to automatically create instances of user-defined structs.
   • Implement a custom deserializer that converts raw data into structured data, leveraging Serde's capabilities.

7. Final Outcome: The improved API allows users to query system information in a way that is clean and similar to Python, making it easier to work with in Rust.

8. Future Work: The author mentions additional features to explore, including nested objects, error handling, and more sophisticated querying capabilities.

Overall, the article emphasizes leveraging Rust's type system and Serde's serialization features to create a user-friendly API that mimics Python's dynamic capabilities.

No summary available.

Summary of AlphaEvolve Research Announcement

On May 14, 2025, the AlphaEvolve team introduced AlphaEvolve, an AI agent that uses large language models (LLMs) to create and optimize complex algorithms for mathematics and computing. This innovative tool combines creativity with automated evaluation to improve algorithm discovery.

Key Points:

• AI Capabilities: AlphaEvolve enhances existing algorithms and discovers new ones, which can lead to significant improvements in various fields, including data center efficiency, chip design, and AI training.

• Algorithm Discovery: The system can evolve entire codebases and develop complex algorithms, building on previous successes in generating functions and solving scientific problems.

• Efficiency Improvements: AlphaEvolve has been deployed in Google’s infrastructure, optimizing data center scheduling, hardware design, and AI processes. For example, it improved data center efficiency by recovering 0.7% of computing resources and sped up matrix multiplication operations by 23%.

• Mathematical Advancements: The AI has made notable contributions to mathematics, discovering new algorithms for matrix multiplication and improving solutions to complex problems like the kissing number problem.

• Future Applications: The technology has the potential to impact various domains beyond computing and mathematics, such as material science and drug discovery. The team is also working on a user interface and plans to make it available for academic use.

AlphaEvolve represents a significant step forward in algorithm discovery and optimization, with promises for broad applications in numerous fields.

California's health insurance exchange, Covered California, has been unintentionally sharing sensitive personal health data, including information about pregnancy and domestic abuse, with LinkedIn. This occurred during a marketing campaign where trackers on the website collected data from users filling out health questionnaires.

Covered California removed these trackers after being alerted to the issue by The Markup and CalMatters. A spokesperson stated that the data sharing was part of an advertising initiative that began in February 2024, and they are now reviewing their privacy protocols to prevent future incidents.

Experts find the data sharing alarming, emphasizing that individuals do not expect their sensitive health information to be collected and used by a for-profit company like LinkedIn. The website had over 60 trackers, significantly more than other government sites, which raised concerns about privacy violations.

LinkedIn's Insight Tag, used for tracking, should not be placed on pages that collect sensitive data, according to the company's guidelines. They are facing lawsuits related to medical data collection, and California's privacy laws require consumer consent for sharing medical information with third parties.

Overall, this incident highlights the need for better protections for sensitive consumer data on health-related websites.

In this post, Teiva Harsanyi shares insights from his experience working at Google, focusing on the concept of complex systems. He distinguishes between "complicated" and "complex" problems:

• Complicated problems are intricate but predictable and can be solved with structured methods (like filing taxes).
• Complex problems are unique and require adaptive solutions (like climate change), making them harder to manage.

Harsanyi identifies five key characteristics of complex systems:

1. Emergent Behavior: The whole system behaves unpredictably, making it difficult to debug.
2. Delayed Consequences: Actions may not show immediate effects, complicating issue identification.
3. Local vs. Global Optimization: Improving one part may not benefit the whole system and can even worsen it.
4. Hysteresis: Past states can continue to influence the system's behavior.
5. Nonlinearity: Small changes can lead to large, unpredictable effects.

To navigate complex systems effectively, Harsanyi suggests several strategies:

• Favor reversible decisions to allow for quick adjustments.
• Define both local and global metrics to get a comprehensive view of system health.
• Embrace innovation and think outside the box for unique solutions.
• Use controlled rollouts to minimize risks during changes.
• Ensure observability to understand system states and improve decision-making.
• Leverage simulation to test changes before implementation.
• Utilize machine learning for adaptive solutions that can learn from real data.
• Promote strong team collaboration to tackle ambiguity and complexity together.

Harsanyi concludes that recognizing whether a system is complicated or complex is crucial for effective problem-solving and that adaptability is often necessary in complex environments.

A user recently posted two videos comparing the performance of an old computer running Windows NT 3.51 from around 2000 to a newer machine running Windows 11. The old computer opened applications almost instantly, while the newer one showed noticeable lag, sparking a viral discussion about why modern computers appear to be slower despite having more powerful hardware.

The user acknowledged that their initial comparison was not entirely fair but believed that even a more accurate test would show similar results. They emphasized that modern user interfaces have become increasingly sluggish, which they find frustrating considering the advancements in technology.

Despite improvements in graphics, storage speed (like the transition to SSDs), and overall capabilities, the user argues that the latency in opening applications has worsened. They noted that even with powerful hardware, like a Mac Pro, there are still delays when opening simple applications, suggesting that software bloat and prioritization of developer convenience over performance are contributing factors.

The user concluded by expressing concern that the benefits of hardware advancements may be diminishing due to poor software design choices. They highlighted a need for the industry to prioritize performance to avoid returning to slow system responses similar to what existed over 20 years ago.

HDR stands for High Dynamic Range. It is a technology used in imaging and video that enhances the contrast and color range of pictures. HDR allows for brighter highlights and deeper shadows, making images look more realistic and vibrant. This means you can see more details in both the bright and dark areas of a scene. Overall, HDR improves the viewing experience by providing a wider range of colors and brightness levels.

The text mentions a blog post by dginovker on a topic related to "OsrsNeedsF2PM" and "My Engineering Craft Regressed." It includes some interaction features like upvotes and downvotes, but the details are unclear. Overall, it seems to reflect on a subject related to engineering or gaming.

AutoGenLib Summary

AutoGenLib is a Python library that automatically creates code using OpenAI's API. It generates modules and functions on-the-fly when you try to import something that doesn’t exist, based on your descriptions.

Key Features:

• Dynamic Code Generation: Imports non-existent modules/functions and creates them.
• Context Awareness: Generates functions with an understanding of existing code.
• Progressive Enhancement: Easily adds new features to existing modules.
• No Default Caching: Each import generates unique code for variety.
• Full Codebase Context: Considers previously generated modules for consistency.
• Caller Code Analysis: Analyzes the importing code for better context.
• Automatic Exception Handling: Provides clear explanations and fixes for errors.

Installation:

• Use pip install autogenlib or clone it from GitHub and install from the source.

Requirements:

• Python 3.12+ and an OpenAI API key.

Quick Start:

1. Set your OpenAI API key in the environment variable OPENAI_API_KEY.
2. Import a function that doesn’t exist, and AutoGenLib will generate it.

Examples:

• Generate and use a TOTP generator and verification function.
• Create modules for encryption and hashing with context-aware functionality.

Configuration:

• Set the OpenAI API key and optionally customize API settings.
• You can enable or disable caching for generated code.

Limitations:

• Requires internet access and OpenAI API availability.
• Code quality depends on description clarity.
• Not recommended for production without review.

Advanced Usage:

• Inspect the generated code for any module.

Contributing:

• Contributions are not accepted; this project is for experimentation.

License:

• MIT License. Always review generated code before using it in production.

The article discusses the challenges of identifying legitimate bot traffic in the wake of increased AI traffic and proposes two new methods for authentication: HTTP Message Signatures and request mTLS. Traditionally, site owners relied on user agent headers and IP addresses to distinguish between good and bad bots, but these methods are often unreliable due to spoofing and shared IPs.

Key Points:

1. Identification Challenges: Differentiating between malicious bots and useful bots (like search engine crawlers) has become difficult with the rise of AI agents.

2. Current Methods are Flawed: User agent headers can be easily faked, and IP address validation is not dependable because multiple users can share the same IP, and IP ranges can change.

3. Proposed Solutions:

   • HTTP Message Signatures: This method allows bots to cryptographically sign their requests, providing a reliable way for site owners to verify the source of the traffic.
   • Request mTLS: This method uses mutual TLS (mTLS) for authentication, ensuring that both parties in a connection verify each other’s identities.

4. How HTTP Message Signatures Work: Bots sign requests with public keys, and site owners can validate these signatures to confirm authenticity.

5. Benefits of These Approaches: They provide a more secure and efficient way to authenticate bot traffic, helping site owners manage their interactions with automated agents better.

6. Next Steps: Both methods are being standardized for broader adoption, and developers are encouraged to participate in testing these new mechanisms.

Overall, these proposals aim to enhance the security and reliability of web traffic management, benefiting both bot developers and website owners.

Aella, a 33-year-old sex researcher and former cam girl, is known for her unique approach to studying human sexuality online. In 2024, she shared personal data about her emotional and sexual life, including crying on 71 days and having sex with nearly 40 people in one day. Aella uses her background in sex work to conduct large-scale surveys, such as the "Big Kink" survey, which has gathered insights into various sexual interests. Her work challenges traditional views on sexuality, as she openly discusses topics often considered taboo.

Raised in a conservative Christian family, Aella left home at 17 and transitioned into a libertine lifestyle. She gained popularity by combining strange and sexy performances while camming and has earned significant income through platforms like OnlyFans. Aella's unconventional style and lack of fear about discussing sexuality have drawn comparisons to famous sex educators like Dr. Ruth Westheimer.

Despite some criticisms from traditional researchers, Aella's surveys provide valuable data on sexual attitudes, particularly in the digital age, where niche interests can find community online. She faces challenges in gaining respect within the academic community due to her unconventional methods and lack of formal training. After experiencing personal turmoil, including a breakup and a troubling incident with a stalker, she moved back to California and plans to work on a book and scientific papers to gain credibility in her field. Aella continues to explore the complexities of human sexuality while remaining unapologetically herself.

No summary available.

Large Language Models (LLMs) are designed to have conversations and can help users clarify their tasks through back-and-forth dialogue. However, research shows that LLMs often struggle when instructions are unclear or incomplete. This study compares how well LLMs perform in single-turn (one question) versus multi-turn (ongoing conversation) settings. The results indicate that LLMs perform about 39% worse in multi-turn conversations. The decline in performance is due to two main issues: a small drop in skill and a significant rise in mistakes. LLMs tend to make early assumptions and try to give final answers too soon, which leads them to get confused and not recover when they go off track.

Since the implementation of congestion pricing in New York, there have been noticeable changes: fewer cars on the roads, faster travel times, and less honking. However, some questions remain unanswered. The reporters gathered insights from various sources, including the Metropolitan Transportation Authority (M.T.A.), the Fire Department, and others, to understand the impact of this policy. Overall, the effects of congestion pricing have become visible relatively quickly compared to other policy changes.

Muscle Memory Summary

Muscle Memory is a Python SDK designed for AI agents. It captures how an agent uses tools to complete tasks and can replay these actions automatically when the same task is encountered again. This helps make repetitive tasks faster and reduces costs associated with using large language models (LLMs).

Key Features:

• Behavior Cache: Records and replays tool-calling patterns to speed up task execution.
• Cache Validation: Determines if it's safe to reuse past actions based on specific conditions.
• Integration: You can connect your agent to Muscle Memory without needing to change its core design.

How It Works:

1. Engine: The main component that manages your agent and its cache of past actions.
2. Checks: Used to validate if it's safe to perform an action based on the current environment.
3. Tool Decorator: Allows you to track and store tool calls automatically.

Installation: Use the command pip install muscle-mem to set it up.

Example: A simple example shows how to create an agent that says hello, with caching implemented to optimize repeated calls.

Feedback Welcome: The developers encourage users to provide feedback and engage with the community through Discord or by testing the open-source code.

For more details, visit the Muscle Mem documentation or the GitHub repository.

git-bug: A Decentralized Issue Tracker

Overview: git-bug is a tool for managing issues that is standalone and works offline. It stores issues and comments as objects in a git repository, allowing easy syncing with remote repositories.

Key Features:

• Native Git Storage: Manage issues, users, and comments directly in your repository.
• Distributed & Versioned: Works offline and syncs later using Git’s decentralized system.
• Fast Performance: Quickly list and search issues.
• Third-Party Integration: Sync issues with GitHub and GitLab through bridges.
• Flexible Interfaces: Use it via command line, terminal user interface, or web browser.
• Easy Setup: Minimal configuration needed to start managing issues.

Getting Started:

• Installation: Follow the installation guide for setup.
• Documentation: Read the documentation for effective usage.
• Contribute: Get involved by contributing to the project.
• Connect: Join the live chat on Matrix for discussions.
• Discuss: Engage in discussions or start new ones for questions and ideas.

Community Support: The success of git-bug relies on its contributors, backers, and sponsors. Contributions are appreciated and help the project grow.

License: The project is licensed under GPLv3 or later. The logo is under a CC BY 4.0 license.

Acknowledgment: The project was initiated by Michael Muré, who is thanked for his hard work.

The text recounts a challenging experience the author had while setting up an IT system for a family-owned business after the sudden death of its owner. The company lacked proper digital systems, with data scattered across personal devices and no oversight, leading to financial issues. The author implemented a structured system using NetBSD, which improved data management and efficiency.

However, a former employee of the deceased owner opposed the new system and pressured the author to erase the server, which was crucial for the company’s operations. The author resisted, realizing this was an attempt to hide financial misconduct. After a tense confrontation, the former employee backed off when the author revealed their family connection.

Unfortunately, the server soon failed due to suspicious circumstances, but the author had ensured data was backed up externally. The owners considered filing a theft report but ultimately did not pursue it. The author was later offered a lucrative job to help the company further, but chose to decline, prioritizing their values and work satisfaction over financial gain. The experience taught the author that some situations are beyond repair, especially when people prefer to protect their interests over resolving issues.

ALTCHA Overview

ALTCHA is a tool that protects websites and online services from spam and abuse using a proof-of-work system. It is designed to prioritize user privacy by being self-hosted and not relying on cookies or fingerprinting. It complies with GDPR and accessibility standards.

Key Features:

• User-Friendly: Uses proof-of-work instead of visual puzzles for a smooth experience.
• Privacy-Focused: No cookies or tracking; fully GDPR-compliant.
• Accessible: Meets WCAG 2.2 AA standards and the European Accessibility Act.
• Lightweight: Small file size (17 kB when GZIP compressed) ensuring fast loading.
• Self-Hosted: Does not depend on third-party services, although a SaaS option is available.

Integration:

• Can be integrated with various frameworks (React, Vue, Angular, etc.) and server-side languages (PHP, Python, Java, etc.).
• Installation is straightforward using npm or by including a script tag.

Spam Protection:

• Comes with a Spam Filter that detects and blocks potential spam submissions without affecting genuine user interactions.

Configuration Options:

• Includes various customizable settings for challenge URL, auto-verification, and UI behavior.
• Supports plugins for additional functionalities like analytics and data obfuscation.

Events:

• The widget triggers events such as load, server verification, and state changes to help developers manage interactions.

Contribution and Sponsorship:

• The project welcomes contributions and is sponsored by BAUSW.com, which focuses on transparency in construction projects.

License: The software is available under the MIT License.

Venus Aerospace, a US propulsion company, successfully tested a rotating detonation rocket engine in New Mexico, marking the first US flight test of this technology. The engine produced 2,000 pounds of thrust and flew for about half a minute without breaking the sound barrier. This innovative engine design may lead to faster, more fuel-efficient travel, potentially allowing journeys around the world in under two hours.

Founded by Sassie and Andrew Duggleby, Venus Aerospace aims to develop hypersonic aircraft for commercial and defense uses. While achieving hypersonic travel is a long-term goal, the company is currently exploring immediate opportunities and has garnered interest from both government and commercial sectors. Sassie Duggleby emphasized the importance of continued government support for hypersonic technologies to maintain US competitiveness and security.

No summary available.

The Data + AI Summit will take place in San Francisco from June 9 to 12. There will be over 700 sessions focused on data intelligence. Be prepared to learn a lot! You can register now.

Summary:

Webhook Tester is a simple tool for developers to create temporary webhook endpoints. It allows you to capture and inspect HTTP requests in real-time, making it easier to debug integrations with services like Stripe, GitHub, and Twilio.

Key features include:

• Temporary Data Storage: Incoming webhook data is stored temporarily unless you create a free account, which allows you to keep logs and access advanced features.
• Easy to Use: You can generate a unique Webhook URL, send HTTP requests to it, and view the details instantly on your dashboard.
• Request Inspection: You can see headers, request bodies, and more without coding.
• Response Customization: Tailor responses, simulate delays, and replay requests as needed.

To get started, create a webhook and use the provided URL to send requests.

Summary of "The Cryptography Behind Passkeys"

Key Concepts:

• Cryptography involves both keeping information secret (encryption) and confirming its source (authenticity).
• Passkeys are a modern solution for user authentication, aiming to replace traditional passwords which are vulnerable to phishing and data breaches.

How Passkeys Work:

• Passkeys use a pair of keys (public and private) to create digital signatures. When a user registers a passkey, the public key is saved by the website, while the private key remains with the user.
• During authentication, the website issues a challenge, and the user’s device responds with a signed message that includes this challenge.

WebAuthn Specification:

• WebAuthn is the standard that enhances passkey security, preventing phishing by ensuring that passkeys can only be used for the website they were created for.
• It requires secure communication (HTTPS) and binds passkeys to specific websites, making them unique.

Types of Authenticators:

• Platform Authenticators: Built into devices (e.g., smartphones). They are convenient but can be less secure if the device is compromised.
• Roaming Authenticators: Separate devices (e.g., YubiKeys) that offer higher security but can be lost.

Security and Risks:

• Passkeys reduce risks of phishing and password reuse but do not eliminate all threats, such as browser-based attacks or compromised authenticators.
• Users may lose access to their passkeys if they lose their authenticator, so recovery mechanisms should be implemented.

Future of Passkeys:

• Developers are encouraged to adopt passkeys and use them with recovery options and support for various devices.
• Ongoing development of WebAuthn may introduce new security features and capabilities.

Conclusion:

• Passkeys provide a strong, modern approach to authentication that addresses many weaknesses of passwords, making them a recommended choice for secure user verification.

NASA's Stennis Space Center has launched its first open-source software, a peer review tool designed to enhance collaboration and efficiency in developing software applications for rocket propulsion testing. This tool was created by engineers at Stennis to improve the software review process and has evolved from an internal review system to a publicly available resource.

The peer review tool simplifies the review of software created with National Instruments LabVIEW, which uses a graphical programming style that is harder to compare than traditional text-based code. The new tool automates parts of the review process, making it easier for developers to focus on important updates and discussions.

By releasing this tool to the open-source community, NASA encourages others to improve and modify it, fostering a collaborative environment aimed at creating stronger software products. Developers can access the peer review tool on NASA's GitHub page.

No summary available.

No summary available.

Summary: How to Build a Smartwatch: Choosing a Chip

In this post, the author shares insights on building a smartwatch, focusing on selecting a microcontroller chip for their new model, Core Time 2. They chose the SF32LB52J chip from SiFli, which has an open-source software development kit (SDK) and is well-suited for smartwatches.

The author emphasizes that creating a smartwatch involves balancing constraints like power consumption, software compatibility, and cost. Key components of a smartwatch include hardware (the watch itself), software (operating system), and a mobile app.

The author explains that choosing the right microcontroller (MCU) is crucial since it affects software compatibility and power usage. After considering various options, they found SiFli's chip to have the necessary features, including sufficient RAM, low power consumption, and an open-source SDK, making it ideal for their needs.

Future posts will cover additional aspects of smartwatch design, such as selecting a display.

When movie recommendation algorithms don't work for me, I look to Rotten Tomatoes, Metacritic, Letterboxd, and Reddit. However, I often feel disappointed, even with highly rated films. I noticed that the movies I really enjoyed were all praised by critics on Wikipedia. This made me think there might be many more hidden gems there. So, I wrote a Python script that analyzed the entire 150GB English Wikipedia archive for 12 hours. I found over 1,700 movies from 83 countries and 19 genres, dating back to the 1910s, many of which aren't recommended elsewhere.

Researchers have developed a new imaging system that can see small objects from over a mile away using a technique called intensity interferometry. This system shines multiple infrared laser beams at a target and collects the reflected light with two telescopes. It achieved a significant improvement in resolution, allowing it to clearly image letters that are 8 mm wide from a distance of 1.36 km.

Unlike traditional interferometry, which combines signals, this method analyzes the intensity fluctuations of light detected at two separate telescopes. The researchers overcame challenges posed by atmospheric turbulence by splitting their laser into eight beams, each taking a different path, which allows for clearer measurements.

The innovative system has potential applications, such as detecting space debris or monitoring agricultural insect populations. Future developments may include better control of laser light and the use of deep learning for improved image reconstruction. Overall, this advancement represents a significant step in imaging distant objects that do not emit their own light.

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Summary:

On May 8, 2025, GitHub updated its rate limits for requests made without authentication to improve security and stability. This change is in response to increased scraping of their API.

Key Points:

• Unauthenticated operations like cloning repositories and accessing REST APIs will have new rate limits.
• Developers using authenticated requests will still have higher limits and uninterrupted access.
• Users are encouraged to authenticate to ensure better access to GitHub services.

Welcome to the Internet Scrabble Club, the top place to play Scrabble online! Currently, there are 2,350 players and 844 games happening.

Key features include:

• Free gameplay with no ads and no downloads needed
• Play with friends or other players globally
• Play against computer opponents
• Review your games or watch others
• Uses official dictionaries
• Accessible on iOS, Android, and desktop

Note: Scrabble is a trademark of Hasbro in the U.S. and Canada, and J.W. Spear and Sons, PLC holds the rights elsewhere.

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In this blog post, Aditya Jayaprakash explains how the economics of multitenancy work for Blacksmith, a serverless cloud platform for continuous integration (CI) workloads. Initially uncertain about their business model, Blacksmith found clarity through insights from a blog post on multitenancy.

Key points include:

1. Spiky Workloads: CI workloads are unpredictable and spike dramatically during code pushes, making traditional production systems inefficient. Blacksmith's serverless model allows customers to use only the resources they need during these peaks.

2. Utilization and Costs: The platform operates with a fleet of virtualized machines. Fixed costs mean that high utilization is essential for profitability. More customers lead to better resource utilization, improving margins.

3. Chaos is Beneficial: As more customers join, their varied usage patterns create a smoother overall demand, which helps optimize resource use and reduce costs for everyone.

4. Time and Geography Impact: CI usage is predictable, peaking during business hours in specific regions. Blacksmith adjusts its fleet based on these patterns, enhancing efficiency and margins.

5. Expansion and Regions: Blacksmith started in one region but expanded to the US to meet customer demands and improve performance. As more customers join, overall utilization and margins improve.

Overall, the post illustrates how Blacksmith leverages multitenancy to create a sustainable business model while providing cost-effective services to its customers.

A two-minute video titled "A Message from Ella" features a fictional girl discussing the dangers of identity theft, voice cloning, and AI deepfakes, highlighting the need for parents to educate their children about online privacy. In today's digital world, oversharing—especially by parents—can lead to serious risks for kids, such as identity theft and financial scams.

To protect privacy, families can start with simple steps like covering webcams and using parental controls on devices. Parents should review privacy settings and limit what they share about their children online, opting for private accounts. The conversation about privacy should involve open dialogue, helping children understand the importance of controlling their digital presence.

Teaching kids about online risks can empower them to manage their reputations and make thoughtful decisions about sharing information. Families are encouraged to create a "Family Media Use Plan" to establish values around technology use and privacy. It's crucial for children to know what to do if they feel their privacy is compromised, and parents should be prepared to respond appropriately if any issues arise.

Ultimately, prioritizing privacy and modeling good behavior can help children navigate their digital lives responsibly.

Ancient Tree Inventory Summary

The Ancient Tree Inventory is a project focused on mapping the oldest and most significant trees in the UK, which can live for hundreds of years. The UK has more ancient trees than many other European nations. The initiative encourages people to help protect this heritage by reporting any ancient or old trees they find, as there are already over 190,000 trees listed, but many more need to be added.

Key features include:

• Tree Mapping: Explore and view the map of ancient trees in the UK.
• Recording Trees: Learn how to identify and record ancient trees for the inventory.
• Educational Videos: A five-part video series explains what ancient trees are and how to contribute to the inventory.
• Blog Posts: Read about personal experiences and insights from tree verifiers, like Kevin Stanley, who shares his passion for ancient trees.

Get involved by adding trees you find and exploring the rich history of the UK's ancient tree heritage!

The author has created an IoT device called Tabajara that helps family members know when they are in a meeting while working from home. The device lights up at the office door when the user's webcam is turned on.

It is built using an ESP32 microcontroller connected to Wi-Fi and uses the Arduino framework for ease of use. The device can receive signals via a simple HTTP request to change the LED color to indicate the meeting status.

Additionally, a Python program checks if the camera is in use and sends updates to the device. The setup is straightforward and very practical for remote workers.

You can watch a demonstration and find the source code through the provided links.

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The text discusses the evolution of computing theories during the Cold War, focusing on key figures like Warren McCulloch and Nikolai Brusentsov, and their contributions to cybernetics and computing logic. McCulloch, a pioneer of cybernetics, declined an invitation to Moscow, preferring to develop his theories in the U.S. He critiqued Soviet cybernetics for its strict adherence to Marxist ideology, particularly the belief that machines could not think. He aimed to explore a new philosophical approach that moved beyond binary logic, proposing a "Hegelian posthumanism."

Brusentsov's SETUN was the first ternary computer, designed to use three values instead of the traditional binary system. Despite its potential advantages, such as energy efficiency and ease of use, SETUN faced bureaucratic challenges and was ultimately discontinued, leading to their legacy being largely theoretical rather than practical.

The text also highlights Gotthard Günther, who engaged with McCulloch to explore the intersection of cybernetics and Hegelian philosophy. He proposed a "transclassical logic" that could accommodate contradictions and align with the complexities of both machines and human thought. Günther’s work aimed to develop a new metaphysical framework that could bridge the gap between binary logic and the realities of digital technology.

Overall, the narrative emphasizes the struggle to reconcile the philosophical underpinnings of logic with the technological advancements of the time, proposing that a new understanding of logic and computation is necessary to fully grasp the implications of digital technologies.

Summary of "Getting Started with Celtic Coins"

Celtic coins are often mistakenly seen as crude or barbarous, indicating a lack of artistic skill among the Celts. However, archaeological evidence shows that they were talented artists and engravers. The perception of their coins as inferior largely stems from comparisons with classical Greek and Roman coins, which follow more realistic artistic traditions.

Celtic coins began as imitations of Greek coins, which allowed them to be easily recognized by users. Over time, Celts developed their own unique style through abstraction, leading to designs that may appear clumsy to those unfamiliar with abstract art.

Understanding these coins is further complicated by the lack of written records from the Celts, which makes it difficult to interpret their imagery. The designs often evolved, with recognizable elements becoming increasingly abstract. For instance, a recognizable head of Apollo on one coin might devolve into mere lines and dots on later versions.

Additionally, the Celts sometimes used coin dies that were larger than the coins themselves, which could result in missing parts of the design, giving an impression of incompleteness or carelessness. Despite these challenges, collectors often have to choose between coins that highlight different aspects of the design, as no single coin may show all desired features.

In conclusion, while Celtic coins may look different from classical ones, they reflect a unique artistic tradition that deserves appreciation rather than dismissal.

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Summary of Lumier

What is Lumier? Lumier is a tool that allows users to quickly run macOS and Linux virtual machines (VMs) using Docker. It connects to a virtualization service called Lume on your host machine, offering:

• Quick setup of macOS or Linux VMs
• Access via a web browser using VNC
• Simple file sharing between your host and VM
• Easy configuration using environment variables

Requirements: Before using Lumier, you need:

1. Docker for Apple Silicon (install from the official site).
2. Lume, which can be installed using a specific command provided in the instructions.

How It Works: Lumier uses Docker mainly to deliver the interface, while Lume creates real macOS VMs using Apple’s Virtualization Framework. It utilizes your Mac's capabilities for hardware acceleration.

Getting Started: To run a macOS VM:

1. Use a Docker command to start the container with temporary storage. Access your VM at http://localhost:8006. Note: Any changes will be lost after stopping the container.
2. To save your changes between sessions, set up a storage directory and run a command that links your local storage to the VM.

File Sharing: You can share files between your Mac and the VM by setting up a shared folder during the Docker run command.

Automation: You can automate tasks at VM startup by creating a script called on-logon.sh in the shared folder.

Using Docker Compose: You can simplify the setup with Docker Compose by creating a configuration file and running a few commands to start and manage your VM.

Customization: If you want to customize Lumier, you can build your own Docker image and adjust its settings, such as installed packages or configuration options.

Configuration Options: When running Lumier, specify:

• Port settings for VNC access
• Environment variables to set VM attributes like name, CPU cores, and RAM size

Credits: Lumier is inspired by previous projects that ran Windows and macOS VMs in Docker, with enhancements for macOS virtualization and support for Apple Silicon devices.

Summary of RPG in a Box

RPG in a Box is a user-friendly software that allows you to create games and interactive experiences easily, without needing programming or modeling skills. It packages all necessary tools together, making it accessible for beginners. You can export your games for Windows and MacOS, allowing others to play them without needing the software.

Key Features:

• Voxel Editor: Create and animate 3D pixel blocks (voxels) to build characters, objects, and tiles.
• Map Editor: Design grid-based worlds and add interactive NPCs and objects.
• Visual Scripting: Use a simple drag-and-drop interface to set up game events without coding, or write quick scripts in a Lua-like language.
• Dialogue System: Create branching conversations for NPCs using a flowchart style.
• Camera System: Choose different camera views (standard, isometric, first-person) or customize your own.
• UI Customization: Design dialogue boxes and other interface elements like menus and inventories.
• Item Management: Define items for players to find or earn, with effects for consumables like potions.
• Sound FX Generator: Create retro-style sound effects easily.

Join the community by visiting the official forum to share ideas or ask questions!

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Summary of "Why Is Geographic Mobility Declining?"

In the U.S., people are moving less now than they did 30 years ago. This decline in geographic mobility affects all age groups. Key reasons include:

1. Long-Term Trends: The aging population and better job opportunities for women are leading to fewer moves. Couples with similar incomes are less likely to relocate together.

2. Economic Factors: Changes in job earnings, urban amenities, and housing prices make moving less appealing. Wage differences between regions have decreased, reducing the financial incentive to move.

3. Demographic Shifts: More women are working full-time and earning comparable wages to men, which influences family decisions about relocation. Additionally, as the population ages, older individuals are less likely to move.

4. Housing Issues: High housing costs and regulations limit the ability of people to relocate. Young adults are increasingly living with their parents due to these financial pressures.

Overall, the decline in mobility is influenced by a mix of personal, economic, and housing-related factors, making moving less attractive and more challenging for many families.

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The text discusses a programming challenge related to creating a more efficient switch statement in C++ using variadic templates and newer C++ features. Here are the key points simplified:

1. Background: A Reddit user posed a question about why C++ lacks a way to expand a template pack into switch case labels. The article explores ways to achieve this efficiently.

2. Switch Statements: In C++, switch statements can be optimized into jump tables by compilers when there are many cases. The author illustrates this with a simple example using an undefined template function to analyze generated assembly code.

3. Jump Tables and Dispatch Tables: The text explains how to create jump tables for better performance and introduces dispatch tables, which are arrays of function pointers that help in calling functions based on an index.

4. Implementing Visitor Pattern: The article discusses implementing a visitor pattern, which allows different behaviors based on the type of a variant, using techniques that generate efficient assembly code.

5. Macro Usage: Macros are proposed to simplify case generation in switch statements. The author provides macros that can help create multiple cases efficiently.

6. Recursive Switch: A recursive approach to the switch statement is discussed, allowing for more elegant and manageable code.

7. Folds and Short-Circuiting: The author introduces fold expressions for checking conditions. This approach leads to cleaner code and can help optimize the generated assembly.

8. C++26 Features: The text speculates on potential C++26 features, such as expansion statements, which could further improve the efficiency of switch-like constructs.

9. Final Implementation: The article concludes with a refined implementation of a generic visitor pattern that utilizes new C++ features for better performance.

Overall, the text is a deep dive into advanced C++ techniques for optimizing switch statements and implementing the visitor pattern, exploring both theoretical and practical aspects.

HelixDB Summary

HelixDB is an open-source graph-vector database created in Rust, designed for high performance in AI and Retrieval Augmented Generation (RAG) applications. It uses LMDB for reliable storage and is significantly faster than competitors, being 1000 times quicker than Neo4j and 100 times faster than TigerGraph.

Key Features:

• Fast Performance: Extremely quick data processing.
• RAG-First: Supports both graph and vector data types, ideal for AI applications.
• Graph-Vector Storage: Easily manages relationships between nodes and vectors.
• Reliable and Consistent: Ensures data integrity with ACID compliance.

Getting Started:

1. Install the Helix CLI for local setup.
2. Create and manage database queries with simple commands.
3. Use the TypeScript or Python SDK to interact with the database.

Future Plans:

• Improve vector data capabilities and query language.
• Develop testing tools for queries before deployment.
• Explore in-house storage solutions and network protocols.

Licensing: HelixDB is available under the AGPL license. Managed service options are available for users needing enterprise support.

Uber is launching a new feature called "Route Share" that offers cheaper, fixed-route rides in major U.S. cities during weekday commute hours. Starting Wednesday, riders in cities like New York, Chicago, and San Francisco can book rides at 50% off the regular UberX fare.

The Route Share service will run on set routes with pickups every 20 minutes and allow riders to share their ride with up to two other passengers. Riders can book a seat anywhere from seven days to 10 minutes before pickup, with the app providing directions to the pickup point.

Uber is also introducing "ride passes" that let users lock in prices for specific routes for a small fee, and they can buy bundles of prepaid trips for additional discounts. These features aim to help customers save money during times of economic uncertainty.

Additionally, Uber is enhancing its Uber Eats service by partnering with OpenTable, allowing users to book restaurant reservations and receive discounts on rides to the restaurant.

Overall, Uber's new initiatives focus on affordability and convenience for riders, responding to rising economic pressures.

Shanghai has introduced a new transit system called "DZ," which allows residents to design their own bus routes. This crowd-sourced platform enables riders to propose routes, vote on them, and if enough people show interest (usually 15 to 20), the bus line can start running in just three days.

So far, over 220 DZ routes have been launched across the city. Users can input their trip details, and the system will assess demand before approval. One successful example is the DZ301 route, which connects a metro station to nearby neighborhoods and has seen a daily ridership of around 250 passengers.

Experts believe this system enhances the efficiency of Shanghai's transit network by aligning bus services with actual commuter needs. However, there are challenges, including inconsistent passenger demand and limited public awareness. City officials aim to improve the planning process and the platform's visibility going forward.

MicroPython recently released version 1.25.0, which includes several key features and updates:

1. ROMFS Feature: This release finalizes the ROMFS (Read-Only Memory File System), which allows executing bytecode directly from a read-only filesystem. This enhances performance by reducing memory usage and speeding up imports. It's currently supported on select boards, with plans for broader support in the future.

2. New Alif Port: A new port for Alif Ensemble microcontrollers (MCUs) has been introduced, featuring multiple ARM cores and peripherals, including USB and WiFi support.

3. RISC-V Inline Assembler: MicroPython now supports 32-bit RISC-V assembly code, allowing for direct machine code integration from Python.

4. Datagram TLS (DTLS): The TLS module now supports DTLS for secure UDP connections.

5. mpremote Tool Enhancements: The command-line tool has added features like recursive file deletion and support for relative URLs.

6. Core Interpreter Improvements: Enhancements include better tuple support and new methods for filesystem management.

7. Additional Features: New modules and functionalities have been added, such as support for static libraries in native modules and various improvements across different ports (ESP32, STM32, etc.).

8. Board Additions: Several new board definitions have been included for various ports.

Overall, this update brings significant improvements in filesystem management, new hardware support, and enhanced functionality for developers using MicroPython.

Nextcloud has faced issues with its Android app, specifically the file upload feature, which has been limited to only photos and videos due to Google revoking critical permissions. This decision has frustrated many users who rely on the app for broader file uploads.

Recently, on May 15, Google contacted Nextcloud to restore the permissions, and a test update is expected soon, with a full update anticipated early next week if everything goes well. The Nextcloud team appreciates user support during this time.

The problem arose after Google claimed security concerns led to the permission revocation, despite Nextcloud having this feature since 2016 without any prior issues. The team believes that larger tech companies like Google may be using their platform dominance to hinder competition.

The limitations on file uploads affect a significant user base, and while tech-savvy users can explore alternative app stores, this isn't a practical solution for most. Nextcloud's situation exemplifies broader concerns about how big tech companies can manipulate access to their platforms, impacting smaller developers and innovation in the market.

In summary, Nextcloud is working on restoring full file upload capabilities for its Android app after Google’s permission issues, reflecting ongoing challenges faced by smaller companies in the tech industry.

The text discusses the challenges faced by a woman in the western North Carolina mountains regarding SMS two-factor authentication (2FA) for her online accounts. Here are the key points:

1. Background: The woman, in her 70s, has limited experience with technology but has adapted to using a smartphone for essential tasks, including joining a community group chat.

2. Cell Service Issues: Despite having a cell phone plan with Spectrum, she cannot receive SMS messages at home due to poor cell service in her area, even though she lives near a town.

3. WiFi Calling Limitations: She enabled WiFi calling, which allows her to receive messages from friends, but not the 2FA codes required for accessing her accounts. This is a common issue with SMS codes sent from shortcodes.

4. Lack of Support: Attempts to use her landline to receive SMS messages were unsuccessful because Spectrum does not offer that service.

5. Difficulty Accessing Accounts: To regain access to her accounts, she must list the websites she is locked out of, meet with a friend, and attempt to switch to time-based one-time passwords (TOTP), which may not be supported by all services.

6. Frustrating Alternatives: Other options to solve her problem, such as switching to a VOIP service or installing a signal booster, are impractical.

7. Coverage Misrepresentation: Spectrum's coverage map inaccurately shows strong service in her area, while in reality, she often has no signal.

8. Broader Context: The text highlights that many people in rural areas face similar issues with SMS 2FA, which can be frustrating and unreliable.

9. Conclusion: While SMS 2FA is popular for its ease of use, it poses significant challenges for those in areas with poor cell service, raising questions about the accessibility and reliability of online security measures.

No summary available.

EM-LLM: Human-inspired Episodic Memory for Infinite Context LLMs

EM-LLM is a new architecture designed to enhance large language models (LLMs) by mimicking human memory, allowing them to process very long contexts efficiently without fine-tuning. Unlike traditional LLMs, EM-LLM organizes information into episodic events, using advanced techniques to improve memory retrieval.

Key Features:

• Episodic Memory: EM-LLM organizes sequences of tokens into coherent events, which helps in managing extensive information more effectively.
• Memory Retrieval: It uses a two-stage process to retrieve relevant information, resembling how humans access memories.
• Performance: EM-LLM outperforms existing models, including the top retrieval model (InfLLM), on various benchmarks while requiring similar computational resources.

Technical Details:

• The architecture includes processes for segmenting input sequences and refining these segments.
• It can handle sequences up to 10 million tokens, which is very large compared to existing models.

Usage:

• Users can install EM-LLM and configure it using provided YAML files.
• The system supports various parameters for customization, including memory management and sequence length.

Evaluation:

• EM-LLM has been evaluated using benchmarks like LongBench and $\infty$-Bench.
• Users can run evaluations through specific scripts that allow for hardware adjustments.

Citation: For academic use, EM-LLM can be cited using the provided reference to the paper published at the ICLR 2025 conference.

The text outlines sections of a platform, likely a gaming store or community. Key areas include:

• Store: Features for home, discovery queue, wishlist, points shop, news, and stats.
• Community: Includes home, discussions, workshop, market, and broadcasts.
• Support: Assistance options for users.
• Language Options: A wide range of languages is available for users to choose from, including Chinese, Japanese, Korean, and many European languages.

Overall, it describes the structure and features of the platform, emphasizing user navigation and multilingual support.

Accessibility Update Summary

Fedora's accessibility has improved, but the question of usability varies for each individual. Here are the key updates:

1. New AccessKit Backend: GTK 4.18 now includes the AccessKit backend, making GTK applications accessible on Windows and macOS, with support available on Linux as well.

2. Keyboard Shortcuts for Orca: Support for keyboard shortcuts in the Orca screen reader has been added, filling a significant gap in Wayland accessibility for GNOME 48.

3. Accessible Web Browser: GNOME Web (webkitgtk) is now fully accessible, even in flatpak sandboxes, thanks to efforts from Georges Basile Stavracas Neto.

4. New Tool - Elevado: Elevado is a new tool for exploring accessibility features in applications, serving as a modern alternative to the old accerciser tool.

5. Ongoing Improvements: Many smaller enhancements to accessibility have been made, including better labels, notifications, and support for text attributes.

Overall, GNOME’s accessibility continues to improve, thanks to collaborative efforts in the community.

Coinbase has reported a data breach where a hacker stole sensitive customer information, including government-issued ID documents. The hacker acquired this data by bribing employees working in support roles to access internal systems. Coinbase has fired these employees and detected the breach in recent months, informing affected customers to prevent misuse of their information.

The hacker demanded a ransom of $20 million, but Coinbase has refused to pay. The stolen data includes customer names, addresses, phone numbers, Social Security numbers, bank account details, and transaction histories. A small portion of corporate data was also taken.

Coinbase plans to invest between $180 million and $400 million to address the breach and reimburse customers. They are also establishing a new support hub in the U.S. The number of affected customers is less than 1% of their 9.7 million monthly users.

Summary:

F. Scott Fitzgerald's novel "The Great Gatsby," published in 1925, struggled for recognition during his lifetime, leading Fitzgerald to worry it would be forgotten. However, after his death, the novel gained popularity, particularly during World War II when it was distributed to soldiers as a morale booster. This exposure helped it become a staple in high school English classes across the U.S.

By the 1980s, "Gatsby" was required reading in over half of public schools, used to teach themes like materialism and the American Dream. Different teaching methods emerged over the years, with some educators favoring a focus on the text's structure and symbolism, while others sought to connect the novel's themes to students' lives.

Despite recent shifts in educational standards favoring nonfiction, "Gatsby" remains a key text in exploring American culture and literary techniques. Its longevity in classrooms suggests it has successfully resonated with generations of students. The future of "Gatsby" in education, however, remains uncertain as curricula evolve.

The article discusses the controversial removal of the story from the game SUPERHOT VR, originally released in 2017. In 2021, the developers decided to cut the entire narrative due to its themes of self-harm and manipulation, which they felt were no longer appropriate. This decision sparked significant backlash in the gaming community, with many accusing the developers of censorship and catering to "snowflakes."

SUPERHOT, originally created for a game jam, gained popularity for its unique gameplay mechanics where time moves only when the player moves. It features a storyline that critiques addiction and control, ultimately leading players to confront uncomfortable themes. The VR version enhanced this experience, immersing players in its dark narrative.

The developer's decision to remove the story content was driven by a personal belief that the themes were toxic and detrimental to the game's integrity. They argued that the focus should be on gameplay rather than a "heavy-handed" narrative. This led to a version of the game that some players found lacking, as it lost a significant aspect of what made it unique.

The removal has raised concerns about artistic freedom and consumer rights, as players felt their purchased content had been altered without consent. Critics argue that discomfort in art is valuable and that the removal of the story sanitizes the work, denying its complexity and significance. The article concludes with a call for respecting artistic integrity and the importance of diverse perspectives in discussions about art and media.

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Summary of "A Synopsis of Squid"

Christian Bök, a renowned poet, has completed a groundbreaking project called the Xenotext Experiment, which encodes poetry into the genetic code of a bacterium. The poem consists of a dialogue between two parts named "Orpheus" and "Eurydice." Bök aimed to create a biologically self-replicating poem, using the resilient bacterium Deinococcus radiodurans, known for its ability to survive extreme conditions.

Initially, the project faced challenges with the E. coli bacteria, where the encoded text was distorted. After overcoming these issues, Bök successfully encoded the poem into Deinococcus, which can endure harsh environments, making it potentially immortal.

The Xenotext is now alive and functioning, with the potential to outlast human civilization and possibly be discovered by future extraterrestrial beings. Bök’s work merges art and science in a unique way, raising questions about the future of artistic expression and its relationship with scientific advancement.

The second part of the Xenotext, titled "Book Two," will be released in June 2025, promising to combine poetry with themes of space exploration and the origins of life. An official launch event will take place on May 27, 2025, in Toronto.

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Summary of "Rust Insights: Flattening Rust's Learning Curve"

Learning Rust can be challenging due to its unique concepts like ownership, lifetimes, and the borrow checker. Here are key points to ease the process:

1. Mindset Shift: Accept that Rust requires a different way of thinking. Your success in learning it depends more on your attitude than on your prior experience.

2. Collaborate with the Compiler: Treat the compiler as a helpful tool rather than a hurdle. It can guide you through errors and help you understand design flaws in your code.

3. Start Simple: Begin with basic concepts like String and simple control flow before tackling more complex features. Avoid introducing too many new ideas at once.

4. Focus on Accuracy: Be detail-oriented. Sloppiness can lead to frustration since Rust requires precise coding. Review your code for errors before compiling.

5. Do Not Rely on Automation: Avoid using auto-completion or other tools that do the thinking for you. Instead, practice writing code by hand to develop your skills and understanding.

6. Practice Regularly: Write and break your own code to learn from mistakes. Engage with the Rust community and seek feedback on your work.

7. Learn from the Compiler: Pay attention to error messages; they contain valuable insights. Understanding these will save you time and deepen your knowledge.

8. Use Type-Driven Development: Embrace Rust's strong type system to guide your coding practices and design choices.

9. Invest in Learning Resources: Find materials that match your learning style, such as books or courses, and avoid passively consuming content like videos.

10. Persistence is Key: Learning Rust takes time and effort. Stay committed for the long haul, and you'll see improvement.

Overall, adopt a mindset of curiosity and patience, practice regularly, and rely on the resources and community around you to support your learning journey.

Project Zero Update - May 9, 2025

• Topic: The Project Zero team at Google is sharing news about their work on improving software security.
• Focus: The current project involves testing CoreAudio, a system used for managing audio on Apple devices, by using a technique called fuzzing. This method helps identify vulnerabilities by sending random data to the software to see how it reacts.
• Objective: The goal is to enhance the security of audio systems and prevent potential exploits.

This update highlights Project Zero's ongoing efforts to make software safer through innovative testing methods.

The article discusses the use of MetaPost for creating vector illustrations, particularly for a physics textbook. The author, Sergey Slyusarev, initially considered traditional tools like Illustrator and Inkscape but found MetaPost more suitable for the task of drawing numerous diagrams.

Key Points:

1. Advantages of MetaPost: Unlike traditional drawing tools, MetaPost allows for easily adjustable illustrations as functions of variables, which helps maintain the relationships within the diagrams when layout changes occur.

2. Creating Curves and Lines: The author explains how to create curves with varying thickness using basic techniques, including the use of "offsetPath" to manage distance from the original line.

3. Variable Thickness and Hatching: MetaPost can create variable-thickness lines and hatching effects for illustrations, which adds depth and interest to the diagrams.

4. Basic Shapes and Objects: The article provides example code for drawing basic shapes like spheres and tubes, which can be combined to create more complex structures like cones and balusters.

5. Knotting Tubes: The author describes how to create knots from tubes, which can enhance the complexity and realism of the illustrations.

6. Texturing and Detailing: Techniques for adding textures (like wood grain) and detailing objects (like eyes) are also discussed, emphasizing the customization possible with MetaPost.

7. Challenges and Solutions: The author highlights some challenges in drawing specific objects (like pulleys) and shares solutions through custom functions.

8. Project Outcome: Although the illustrations were completed, the textbook project was ultimately canceled. The author then decided to refine the library of functions used for drawing and made it available on GitHub.

Overall, the article serves as a practical guide to using MetaPost for vector illustrations, showcasing its capabilities for creating technical diagrams efficiently.

Google is developing a new desktop mode for Android, similar to Samsung's DeX, which will offer a desktop-like interface for Pixel phones when connected to an external display. This feature will include a taskbar with pinned and recent apps, support for multiple resizable windows, and improved multitasking capabilities.

Currently, this desktop mode is in development and is not expected to be part of Android 16's stable release. Instead, it may be available in future quarterly updates or with Android 17 next year. The new interface aims to enhance usability for users who want to use their phones like a PC, making it easier to manage apps and work efficiently on larger screens.

Overall, this development is seen as a significant step for Google, aiming to improve how Android operates on bigger displays and expand its desktop functionality across various devices.

In March 2023, a project began to create a safer, high-performance AV1 decoder called rav1d, developed in Rust with the help of Immunant. By September 2024, rav1d was mostly finished and passed the same tests as its C-based counterpart, dav1d. However, rav1d is about 5% slower than dav1d, which is a concern.

To address this, a $20,000 bounty has been announced for anyone who can help improve rav1d's performance to match dav1d's. The contest is open to individuals or teams from specific regions, including the U.S., U.K., EU, and others. Participants can work on enhancing the Rust code, compiler, or standard library, but cannot change the shared low-level assembly code.

Contributors must follow the project's standard contribution process to have their improvements considered. The bounty will be distributed based on contributions when the contest ends, either once the performance goal is met or the time limit is reached. Updates to the rules will be posted as needed. Good luck to all participants!

Airweave Summary

Airweave is a tool that allows agents to search through any application using semantic queries. It connects easily with various apps, databases, and APIs to convert their content into knowledge that agents can use effectively.

Key Features:

• Easy Data Retrieval: Works with both structured and unstructured data, making it simple to organize and access information.
• Integration Support: Compatible with over 25 sources for data synchronization.
• User-Friendly: Offers a dashboard and API for easy data connection and querying.
• SDKs Available: Supports Python and TypeScript/JavaScript for developers.
• Security: Features multi-tenant architecture with OAuth2 for secure access.

Quick Start:

1. Install Docker and Docker Compose.
2. Clone the repository and run the provided script to start the dashboard.

Technology Stack:

• Frontend: Built with React/TypeScript.
• Backend: FastAPI in Python.
• Databases: Uses PostgreSQL and Qdrant for data storage.

Future Plans:

• Adding more source integrations and support for event-driven syncs.

For support and contributions, users can join the Discord community or check GitHub for updates. Airweave is licensed under the MIT License.

Summary: Using Obscure Graph Theory to Solve PL Problems

The author shares their experience of solving a problem related to optimizing program graphs by using graph theory concepts. The goal was to serialize a program graph into efficient let-bindings to avoid redundant computations, which they referred to as "sharing."

Initially, the author struggled with various solutions over a year, developing an algorithm that tracked free variables but became messy and unmaintainable. When the program evolved to allow existing let-bindings, the original algorithm failed, prompting a need for a rewrite.

After reevaluating the problem, the author identified the significance of "diamond patterns" in the graph, which indicated where to apply let-bindings. They tried to determine how to find these patterns more efficiently, initially relying on reachability but discovering it led to performance issues when working with larger programs.

Collaborating with a knowledgeable friend, they reframed the problem in graph theory terms, leading to the concept of the lowest single common ancestor (LSCA) in directed acyclic graphs (DAGs). This new approach allowed for a more efficient algorithm to find where to insert let-bindings.

Ultimately, they implemented the solution using an existing library for the lower common ancestor (LCA) and refined it into a solution that was both elegant and performant. The author reflects on the collaborative nature of problem-solving and how their final solution was a result of building on others' ideas and knowledge.

For nearly three years, the United States Postal Service (USPS) tried to adapt to the rise of email by launching a service called E-COM in 1982. This initiative aimed to print and deliver emails for people without computers, which was a response to concerns that traditional mail volume would decline due to electronic communication.

The USPS, rebranded from the Post Office Department in 1971, had a history of adapting to new technologies, from using jeeps to automate mail sorting. They envisioned a system where emails could be transmitted directly to the USPS, printed, and sent to recipients. E-COM messages could be one or two pages long and were designed to be delivered within a few days.

Despite initial optimism, the project faced significant bureaucratic challenges and legal hurdles. The Federal Communications Commission (FCC) claimed jurisdiction over electronic communication, preventing the USPS from monopolizing email delivery. The service was complicated and costly, requiring customers to meet various criteria, and ultimately, the USPS lost money on each message sent.

E-COM did gain some traction, delivering millions of printed emails, but most of its traffic came from a few junk mailers. As the service continued to struggle financially, the USPS decided to discontinue E-COM in 1985 after losing over $40 million.

In the end, traditional mail volume remained strong for many years, and the USPS shifted focus to e-commerce deliveries as email and other digital communications became prevalent. The term "e-mail" emerged from this period and became widely used, while the USPS continued to explore future technologies.

Summary of "Odin: A Programming Language Made for Me"

The article discusses the Odin programming language, which incorporates several features that the author, Karl Zylinski, appreciates from C programming practices. Here are the key points:

• Custom Allocators: Odin has a built-in allocator interface that simplifies dynamic memory management, allowing both user code and the core libraries to work with custom allocators easily.

• Temporary Allocators: These allow for short-lived memory allocations, ideal for scenarios like video game frames. Odin provides a built-in temporary allocator for efficient memory management.

• Tracking Allocators: Odin includes a tracking allocator that helps detect memory leaks by recording allocations and deallocations, making it easier to manage memory.

• Zero Initialization (ZII): All variables in Odin are automatically initialized to zero, reducing the risk of using uninitialized memory. This feature enhances program reliability.

• Designated Initializers: Odin allows for initializing specific fields of structs while automatically zeroing out others, which works well with the zero initialization feature.

• Cache-Friendly Programming: Odin supports "Structure of Arrays" (SoA) memory layout, which can improve performance by optimizing how data is stored in memory.

• Simplicity: Odin aims to retain the simplicity of C while integrating modern features, making it easy to learn and use.

• Learning Resources: The author recommends his book, "Understanding the Odin Programming Language," for those who may not have a strong programming background.

In conclusion, Odin is designed to be user-friendly, efficient, and simple, making it appealing to programmers familiar with C.

Evelyn De Morgan, a lesser-known Pre-Raphaelite artist, created powerful paintings that reflect the trauma of World War One and explore themes of good versus evil. Her notable work, "Death of the Dragon," painted between 1914 and 1918, serves as an allegory for the suffering caused by the war. This painting is featured in a new exhibition at London's Guildhall Art Gallery, which showcases her rarely seen works and highlights her artistic significance.

De Morgan's art often portrays strong female figures, subverting typical representations of women in her time. She used classical influences and mythological themes to convey messages of hope and spiritual fulfillment, contrasting with the despair of war. Her pacifist beliefs are evident in works like "Our Lady of Peace" and "The Red Cross," which advocate for peace over violence.

Despite being overshadowed by her husband and male contemporaries, De Morgan's unique perspective and innovative techniques, including the use of vibrant colors and deep symbolism, have gained her recognition as a pioneering artist. The exhibition celebrates her contributions to art, illustrating her vision of a brighter future amidst darkness, and remains open until January 2026.

The text appears to be a simple navigation menu for a website. It includes links to the following sections:

• Home: The main page of the website.
• Math Careers: A section likely related to careers in mathematics.
• Contact Us: A page for reaching out to the website's team.
• Login: An option for users to sign into their accounts.

Overall, it provides basic options for users to explore the site and access information or services.

ZJIT has been integrated into Ruby as of May 14, 2025, after a presentation at RubyKaigi 2025. ZJIT is a new just-in-time (JIT) compiler for Ruby built into the YARV reference implementation. It differs from the previous YJIT in several ways, such as using a high-level intermediate representation (HIR) and compiling entire methods at once instead of individual blocks.

Key points about ZJIT:

• It provides a more traditional compiler structure, making it easier for community contributions.
• ZJIT processes Ruby code by taking YARV bytecode, converting it to an IR, optimizing it, and then generating machine code.
• The architecture allows for type profiling and optimizations that improve performance, especially for common operations like adding small integers (fixnums).

The project is still in early development, and while YJIT will continue to be maintained, the team plans to enhance ZJIT until it reaches similar performance levels. Future work includes implementing features like side-exits, which will allow the compiler to handle unexpected types more gracefully and enable extensive testing and performance benchmarking. More information and documentation will be shared as development progresses.

No summary available.

Summary: Mipmap Selection in GPU Texture Sampling

This post explores how mipmap levels are selected when sampling textures on a GPU, particularly through the use of functions like Texture2D.Sample() and Texture2D.SampleGrad().

Key Points:

1. Mipmapping Basics:

   • Mipmapping involves creating smaller versions of a texture to reduce aliasing and improve texture quality at various distances and angles.
   • Each mipmap level corresponds to a different resolution, with level 0 being the highest.

2. Texture Sampling:

   • When sampling a texture, the GPU automatically selects the appropriate mipmap level based on the screen pixel's coverage of texels.
   • The function Texture2D.Sample() implicitly calculates the necessary derivatives to determine the mipmap level.

3. Pixel Derivatives:

   • Mipmaps rely on pixel derivatives, calculated using ddx() and ddy(), to determine how a pixel covers texels in texture space.
   • These derivatives influence the selection of mipmap levels to avoid aliasing.

4. Mipmap Level Calculation:

   • The post explains a conceptual formula for calculating mipmap levels based on partial derivatives, which involves taking the logarithm of the maximum derivative length.
   • Actual hardware behavior may differ, leading to variations in mipmap selection across different GPU vendors.

5. Anisotropic Filtering:

   • Anisotropic filtering enhances mipmap selection by considering the texture's elliptical footprint and sampling multiple points along the direction of anisotropy.
   • This technique helps reduce blurriness and improve texture detail at shallow viewing angles.

6. Implementation Observations:

   • The author presents visualizations comparing software and hardware mipmap selection, demonstrating differences in implementation across GPU vendors.
   • Nvidia's approach to mipmap selection is highlighted as being less precise for performance reasons.

7. Conclusion:

   • The author expresses a desire for clearer documentation on GPU functionalities and hopes this exploration contributes to the understanding of mipmap level selection in GPU programming.

Overall, the post provides a detailed and technical look into how GPUs manage texture sampling and mipmap levels, emphasizing the importance of understanding these processes for effective graphics programming.

No summary available.

Airbnb is undergoing a significant transformation under CEO Brian Chesky, who aims to reposition the company from just a short-term rental service to an "everything app" that offers various services, including fitness, food, and personal care. This change was inspired by Chesky's involvement in a corporate drama at OpenAI, which energized him to rethink Airbnb's future.

Chesky's vision includes expanding the app's functionality so users can book not only accommodations but also services like personal trainers and chefs. He believes Airbnb can build trust and credibility to become a go-to platform for a wide array of services, similar to how Amazon evolved from an online bookstore.

The company is investing over $200 million in this reinvention, launching a network of over 10,000 vendors across 260 cities. This includes reviving a past initiative called "Experiences," which offers unique local activities. Chesky aims to enhance user profiles to create a more trusted identity verification system, potentially making Airbnb a recognized credential like a government ID.

As part of the redesign, the app will feature a new user interface with distinct icons for rentals, services, and activities. Chesky is working with top designers to ensure the app's aesthetic aligns with its ambitious goals. He also emphasizes the importance of community and connection among users, aiming to foster interactions through enhanced messaging features.

Chesky's leadership style has evolved, with him becoming more hands-on and detail-oriented, especially after navigating the challenges posed by the pandemic. He acknowledges the need for Airbnb to be more than just a vacation rental service, expressing a desire to create meaningful experiences that resonate with users.

Despite the challenges ahead, including competition from various tech and service companies, Chesky is determined to redefine Airbnb's role in the market, making it a comprehensive platform for services and experiences.

Summary: A Flexible Proof Assistant Tool

Terence Tao has developed a proof assistant tool designed to verify mathematical estimates. After initial versions, the tool has been enhanced to resemble the Lean proof assistant and utilizes the Python library, SymPy, for symbolic calculations. The current version allows for semi-automated proofs, where users can guide the tool with high-level strategies, rather than relying on fully automated processes.

The tool operates within Python's interactive mode, enabling users to input commands step-by-step. For example, users can load exercises and apply tactics to solve proofs involving inequalities or asymptotic estimates. The assistant can handle tasks like linear arithmetic and case splitting, providing detailed feedback on the proof process.

Future plans include expanding the tool to estimate function space norms and incorporating additional mathematical tactics and lemmas. Tao welcomes contributions to enhance the tool's capabilities and to address more complex problems that it currently cannot solve due to limited tactics.

Summary of Mozilla Firefox Repository:

• The Mozilla Firefox repository is the official source for the Firefox web browser.
• It has over 6,700 stars and 176 forks, indicating a strong interest and community involvement.
• The repository is public and includes various directories for different parts of the browser, such as browser, devtools, and extensions.
• Key files include a README that explains the directory structure and how to build Firefox from source code.
• Nightly development builds are available for testing but may be unstable.
• The repository features contributions from over 5,000 developers and is primarily written in JavaScript, C++, HTML, C, Python, and Kotlin.
• For detailed documentation, users can refer to the Firefox source documentation.

No summary available.

A Belgian court has ruled that the "Transparency & Consent Framework" (TCF), used by companies like Google, Microsoft, Amazon, and X for tracking-based advertising, is illegal. This decision affects 80% of the internet and stems from complaints led by Dr. Johnny Ryan and others about how the TCF deceives users regarding consent for data processing.

The court confirmed that the TCF violates several GDPR regulations, including:

1. Data Security: It fails to keep personal data secure and confidential.
2. Consent Requests: It does not properly ask for user consent and improperly uses "legitimate interest" for data processing, which is not allowed due to the risks of online tracking.
3. Transparency: It does not provide adequate information about how data is used.

The ruling also supports previous findings from 2022 by the Belgian Data Protection Authority about the TCF's multiple infringements. Dr. Ryan emphasized that this decision is a significant step towards ending harmful tracking practices in advertising and indicates that Real-Time Bidding (RTB) can operate without personal data. The ruling is effective immediately across Europe.