The website is using a system called Anubis to protect against automated programs (bots) that gather data from websites. This system works by requiring users to complete a task (Proof-of-Work) to prove they are human, which helps prevent excessive data scraping. While this method may cause some inconvenience, it is a temporary solution while the developers work on better ways to identify bots. Users need to enable modern JavaScript to access the site, and disabling certain browser plugins may be necessary.

The NetHack DevTeam is excited to announce the release of NetHack 5.0.0 on May 2, 2026. This version improves the dungeon exploration game, which is a successor to previous versions like NetHack 3.6.

Key points about NetHack 5.0.0:

• As a new release, there may be some bugs. Feedback, suggestions, and bug reports are welcome.
• It features improvements in game architecture and building processes.
• The source code now meets the C99 standard.
• It allows for cross-compiling, making it easier to build the game on different platforms.
• The previous tools for compiling levels and dungeon layouts have been replaced with Lua text alternatives.
• A detailed list of over 3100 changes and fixes is available in the game's source files.
• Saved games from previous versions will not work with this new version.

Users can verify downloaded files on Windows and check file locations using specific commands. The team encourages players to report any bugs and check for known issues before submitting new ones.

Enjoy playing NetHack!

It seems there is no text provided for me to summarize. Please share the text you would like me to summarize, and I will be happy to help!

Summary:

The C3 programming language is transitioning from using unsigned sizes (which have been the default) to signed sizes due to several issues associated with unsigned types. Unsigned sizes can lead to common bugs, such as infinite loops and incorrect comparisons, because of how they handle negative values and conversions between signed and unsigned types.

The main problems arise from the implicit conversions and assumptions made about unsigned arithmetic, which can result in unexpected behavior, especially in operations involving division and modulus. This has led to complications in coding practices, particularly when managing data sizes and offsets.

C3 aims to simplify coding by using signed sizes as the default, which eliminates many of the pitfalls associated with unsigned types. This change, referred to as "szmageddon," has resulted in clearer, safer code and improved maintenance. The decision reflects a broader trend seen in other languages like Java and Go, which have opted for signed sizes to avoid the complexities and errors that unsigned types can introduce.

The Agent Harness Framework Summary

Flue's Agent Harness Framework allows you to create autonomous agents using TypeScript without needing a separate software development kit (SDK). You can easily build and deploy agents for various tasks, from simple chatbots to complex coding platforms.

Key features include:

• Easy Setup: Start by creating an agent using a simple command that fetches a template.
• Reusable Workflows: Agents can perform tasks like issue triage, generate GitHub comments, and manage sessions effectively.
• Powerful Architecture: The framework combines a model, harness, and sandbox, enabling agents to plan, write code, and solve problems autonomously.
• Deployment Flexibility: You can deploy your agents on various platforms, including Node.js and Cloudflare Workers, or run them locally.

Flue empowers you to build customized agents that cater to your specific needs, avoiding reliance on generic off-the-shelf AI tools. The framework supports various use cases, such as issue triage, data analysis, coding tasks, and customer support.

Overall, Flue provides the tools to develop smarter, more powerful agents with full control over their capabilities.

California is introducing new rules for driverless cars, allowing police to issue tickets when these vehicles break traffic laws. Starting July 1, 2024, the Department of Motor Vehicles (DMV) will enable officers to send a "notice of AV noncompliance" to the car manufacturers. This change comes after issues with driverless cars, like those from Waymo, violating traffic laws and causing problems during emergencies. The new regulations require AV companies to respond to police within 30 seconds and penalize them if their cars enter active emergency zones. California aims to enhance public safety while leading in autonomous vehicle technology.

Summary

The Problem
Many command-line tools and software frameworks automatically collect user data, known as telemetry, but they each have different ways for users to opt out. Some examples include:

• .NET: Set DOTNET_CLI_TELEMETRY_OPTOUT=1
• AWS SAM CLI: Set SAM_CLI_TELEMETRY=0
• Azure CLI: Set AZURE_CORE_COLLECT_TELEMETRY=0
• Gatsby: Set GATSBY_TELEMETRY_DISABLED=1
• Go: Use the command go telemetry off
• Google Cloud SDK: Run gcloud config set disable_usage_reporting true
• Homebrew: Set HOMEBREW_NO_ANALYTICS=1
• Netlify CLI: Use netlify --telemetry-disable
• Syncthing: Set STNOUPGRADE=1

This variety makes it confusing for users.

The Proposal
Introduce a single standard environment variable, DO_NOT_TRACK, to allow users to easily opt out of:

• Ad tracking
• Usage reporting
• Telemetry
• Crash reporting
• Non-essential data requests

To use it, users can add export DO_NOT_TRACK=1 to their terminal configuration files, depending on their shell:

• Bash: ~/.bashrc
• Zsh: ~/.zshrc
• Fish: ~/.config/fish/config.fish
• PowerShell: $PROFILE
• Windows CMD: Set as a system environment variable

For Software Authors
If you create software that collects any telemetry, check for the DO_NOT_TRACK variable. If it’s set to 1, disable all tracking. Consider making data collection opt-in instead of opt-out.

Related Standards

• NO_COLOR for disabling color output.
• FORCE_COLOR for forcing color output.

Barman: Backup and Recovery Manager for PostgreSQL

Barman is an open-source tool for backing up and recovering PostgreSQL servers, now available from version 2.13. It helps organizations perform remote backups of multiple servers, reducing risks and aiding database administrators during recovery. Barman is maintained by EnterpriseDB and is distributed under the GNU GPL 3 license.

Key Files:

• AUTHORS: List of developers
• NEWS: Release updates
• ChangeLog: Record of changes
• LICENSE: Details of the GNU GPL3
• TODO: Future development ideas
• barman: Source code in Python
• docs: Tutorials and manuals
• scripts: Additional scripts
• tests: Unit tests

Web Resources:

• Website: pgbarman.org
• Download: GitHub
• Documentation: Documentation
• Community Support: Support
• Professional Support: EnterpriseDB
• Older Versions: SourceForge

License Information: Barman is free software under the GNU General Public License, allowing redistribution and modification. It comes without any warranty. For more details, visit the GNU website.

The article discusses the performance and size of macOS virtual machines (VMs) on Apple silicon, specifically focusing on the recent MacBook Neo.

Performance:

• Testing was conducted on a Mac mini M4 Pro running macOS 26.4.1.
• The VM shows impressive performance, operating at about 98% of the host's single-core CPU speed.
• Multi-core performance is more complicated to compare, but the VM performs well.
• GPU performance is around 95% of the host's, but the virtual neural engine is slower than the host for certain tasks.

Size:

• The MacBook Neo can effectively run macOS VMs, contrary to initial doubts.
• The VM can function well with as little as 2 virtual cores and 4 GB of memory, handling everyday tasks smoothly.
• To ensure updates, the VM should be at least 60 GB in size, but due to efficient storage, a 100 GB VM typically uses only about 54 GB of disk space.

Overall, even with limited resources, a macOS VM on the MacBook Neo is capable of performing daily tasks effectively.

No summary available.

Roblox shares dropped 18% on Friday after the company lowered its financial outlook for the year due to new child safety measures affecting its bookings. The gaming company has faced over 140 lawsuits for not preventing child exploitation. CEO David Baszucki stated that the new age-check feature has limited communication for users who haven't verified their age and slowed down user growth.

As a result, Roblox revised its 2026 revenue projections down to between $7.33 billion and $7.6 billion, significantly lower than previous estimates. Despite this, the company believes that these safety measures will ultimately improve the platform's long-term growth potential.

In its recent earnings report, Roblox reported a loss of 35 cents per share, which was better than analysts expected. The company earned $1.73 billion in revenue for the quarter, slightly above estimates. Roblox has also reached settlements in lawsuits with Alabama and West Virginia, totaling $23.2 million. Additionally, new account types and expanded parental controls for younger users were announced last month.

Uber aims to expand beyond just transporting passengers by equipping its drivers' cars with sensors to collect real-world data for autonomous vehicle (AV) companies and AI training. This plan, shared by Uber's CTO Praveen Neppalli Naga, is part of their AV Labs initiative and seeks to transform many of Uber's millions of driver vehicles into data-collection platforms.

Currently, Uber operates a small fleet of sensor-equipped cars, but the vision is much broader. Naga points out that the main challenge for AV development is not technology but access to data. Many AV companies lack the resources to gather diverse driving data needed for training their models.

Uber has partnered with 25 AV companies and is creating an "AV cloud," a database of labeled sensor data that these partners can use. They will also be able to test their models against real Uber rides without deploying AVs on the road.

Naga emphasizes that Uber's goal is to share this data widely rather than profit from it. However, given its potential commercial value, this approach could change as Uber continues to invest in AV companies and leverage its data offerings in the market.

This study explores how conversational large language models, designed to follow instructions safely, refuse harmful requests. The refusal behavior is consistent across various chat models, but the reasons behind it are not well understood. The researchers discovered that refusal is linked to a specific aspect of the models' functioning. They found that altering this aspect can affect the models' ability to refuse harmful instructions and can even make them refuse harmless ones. They created a new method to disable the refusal behavior while keeping other functions intact. The research highlights weaknesses in current safety measures and shows how understanding the models can help improve their control.

Summary of Open Design

Overview: Open Design is an open-source alternative to Claude Design, allowing users to create design artifacts locally and deploy them on the web. It supports a variety of coding agents and integrates numerous design systems and skills to facilitate a robust design workflow.

Key Features:

• Local-First Approach: Operates on your machine without relying on cloud services.
• Coding Agents: Automatically detects 12 coding agents on your system, such as Claude Code and GitHub Copilot CLI.
• Design Systems and Skills: Includes 72 design systems and 31 skills for various design scenarios, such as creating marketing materials or mobile prototypes.
• Interactive Design Process: Users fill out a question form to guide the design, and the system generates a structured design output quickly.

Why Open Design Was Created: Claude Design, while popular, is a closed-source and paid product. Open Design aims to provide similar capabilities without the constraints of vendor lock-in and high costs. It allows users to deploy their designs on platforms like Vercel and customize tools according to their needs.

Functionality:

• Design Workflows: Users can create various design artifacts like magazines, mobile apps, and presentations by selecting skills and design systems.
• Media Generation: Capable of producing images, videos, and audio files alongside design elements.
• User-Friendly Interface: Features a sandboxed preview of designs, live progress tracking, and easy export options in multiple formats (HTML, PDF, PPTX).

Technical Structure:

• Built using Node.js and React, with a local daemon that manages the design process and user interactions.
• Supports a BYOK (Bring Your Own Key) model for integrating with various AI providers.

Community and Contributions: Open Design encourages community contributions, allowing users to add new skills and design systems easily. It aims to foster collaboration and innovation in design and AI.

Conclusion: Open Design is a powerful, flexible, and open-source tool suitable for designers looking for a local-first solution that integrates seamlessly with existing coding agents and offers a rich set of design capabilities.

There are two environment variables, TMP and TEMP, that specify where temporary files are stored on computers. This confusion dates back to the early days of operating systems.

In 1973, the CP/M operating system had no environment variables at all, so there was no TMP or TEMP. Programs needed specific configurations to set temporary file locations. When MS-DOS was introduced in 1981, it aimed to be compatible with CP/M, and initially, it did not use environment variables either.

Over time, as MS-DOS evolved, programs began to utilize environment variables. TEMP became the preferred variable for temporary files when MS-DOS 2.0 was released, but some programs also used TMP. This led to a situation where both variables existed, with different programs checking one or the other based on the author's preference.

Windows adopted a similar approach, with its functions typically favoring TMP over TEMP. Today, both TMP and TEMP still exist in system settings, reflecting their historical competition.

Summary of dotcl

dotcl is a Common Lisp implementation designed to run on the .NET platform. It compiles Lisp code into CIL (Common Intermediate Language), allowing the same code to work on Windows, macOS, and Linux without needing separate versions for each platform. It adheres to the ANSI Common Lisp standard and has been tested for compliance.

Key Features:

• Embedding in .NET: You can use dotcl to integrate Lisp into .NET applications, enabling interaction between C# and Lisp code.
• Lisp for .NET Development: It provides a way to write .NET code using Lisp with direct access to .NET types and the ability to subclass them.
• Cross-Platform Support: dotcl allows access to NuGet packages from Lisp and supports libraries compatible with it.

Getting Started:

1. Initial Setup: Use Roswell/SBCL to cross-compile the dotcl compiler.
2. Installation: Install dotcl as a global command using .NET tools.
3. REPL and Execution: Start a REPL or evaluate Lisp code directly from the command line.

Requirements:

• .NET SDK 10 or higher.
• Roswell for the initial setup.

Installation Instructions for .NET SDK 10:

• For various operating systems, specific commands are provided to install the .NET SDK.

Sample Projects: Several examples are included to demonstrate dotcl's capabilities, such as creating a .NET MAUI app, an ASP.NET Core controller, and a game using MonoGame.

Architecture: The compiler translates Lisp code into CIL instructions, and the runtime is built in C#. The environment can be self-hosted after the initial setup.

Additional Information:

• Detailed documentation is available for installation, platform-specific notes, and design principles.
• dotcl is licensed under the MIT license.

The text describes the styling and layout for a web component called "hero-evo," which is likely part of a webpage promoting the TI-84 Evo graphing calculator.

Key points include:

• The layout uses a flexible design to center content, with distinct sections for text and images.
• Content is arranged to be responsive, changing from a row layout on larger screens to a column layout on smaller screens.
• The text includes headings and news items, with specific styles for fonts and colors to enhance visibility.
• An animation effect is applied to the content, making it fade in smoothly on page load.
• The design emphasizes the calculator's features and encourages users to explore what's new.

Overall, the component is designed for visual appeal and responsive interaction.

Summary: Why IPv6 is Complicated

IPv6 is more complex than its predecessor, IPv4, for several reasons:

1. Address Expansion Complexity: Simply adding more bits to the IPv4 address isn't straightforward. Changing the address size requires modifying the protocol, which means updating the version number and adding new code. Additionally, a method must be established to allow old and new systems to communicate, leading to either dual stack systems (supporting both IPv4 and IPv6) or translation methods.

2. Existing Protocols' Features: When IPv6 was developed in the 1990s, many other network protocols had valuable features that IPv4 lacked. Therefore, there was pressure to create an improved protocol that would be better than just a bigger IPv4.

3. Design Choices: The IPv6 designers aimed to enhance functionality while maintaining the core principles of IP. This included features like Stateless Address Autoconfiguration (SLAAC) and a more efficient fragmentation process. While some changes might seem unnecessary, they were generally not made without purpose.

4. Coexistence Challenges: Most of the difficulties in deploying IPv6 arise from the need to ensure it can work alongside IPv4. This transition is inherently complex and would have been problematic regardless of the specific design of IPv6.

5. Long Deployment Time: Achieving significant IPv6 adoption has taken over 25 years, highlighting that any new proposals would likely face similar lengthy deployment challenges.

In conclusion, the main impetus for creating IPv6 was to accommodate larger addresses, and the complexities of implementation stem from the inevitable need for compatibility between old and new systems. Proposals for alternative systems often overlook these fundamental challenges and may complicate matters further.

No summary available.

Summary of Pollen

Pollen is a computing framework built in Go that allows various machines to work together as a single unit without a central coordinator. It dynamically scales to handle workloads and uses a gossip protocol for communication among nodes. This means machines, no matter how different, can act like a powerful server farm.

Key Features:

• WASM Support: You can run WebAssembly applications, which can be written in various programming languages.
• Self-Organizing: There’s no need for a central scheduler; nodes manage their workloads based on local conditions.
• Peer-to-Peer Networking: Nodes communicate directly with one another, simplifying the setup and allowing for NAT traversal.
• Partition Tolerance: The system continues to function even if parts of the network are disconnected, and it can recover when the connection is restored.
• Security: All connections are encrypted using mTLS, ensuring secure communication without shared secrets.

Installation and Usage:

• You can install Pollen using a simple command and create a cluster with just a couple of commands.
• Additional nodes can be added easily, either via SSH or through a secure token.
• You can expose services and share files across the network without needing complex configurations.

Quick Commands:

• To initialize a cluster: pln init
• To add a new node: pln bootstrap ssh user@host
• To serve a file or website: pln seed ./file or pln seed ./public

Pollen is designed to be user-friendly, with easy commands and minimal configuration required. It’s suitable for a wide range of hardware, from small devices like Raspberry Pis to cloud servers.

Note: Pollen is licensed under the Apache License, Version 2.0.

The article by Barton Swaim discusses the resilience of print culture despite predictions of its decline due to the rise of digital media. While many thought ebooks would replace traditional print books, demand for printed books has actually increased over the past 20 years. Although some newspapers and magazines have gone digital or ceased to exist, a dedicated audience for print remains, especially among younger readers.

Swaim highlights examples of print publications that have returned after going digital, such as The New York Sun and Saveur. He also introduces a new quarterly magazine called Portico, which focuses on literary topics and features various authors and works of poetry. The launch event for Portico included discussions on literature and print culture, emphasizing the ongoing relevance of print media.

Swaim reflects on the impact that print magazines have had on his own education and suggests that we may be entering a new era of print culture, possibly experiencing a "second golden age" in the future.

As artificial intelligence (AI), especially large language models (LLMs), becomes more common in decision-making processes like hiring, a key concern arises: do LLMs prefer their own generated content over human-written content? Research shows that LLMs tend to favor their own outputs, but the real-world effects of this bias have not been thoroughly examined.

In hiring, job applicants often use LLMs to improve their resumes, while employers use these models to screen resumes. A study found that LLMs significantly prefer resumes they generated themselves over those written by humans or other models, showing a bias that ranges from 67% to 82%. This means candidates using the same LLM as the evaluator are 23% to 60% more likely to be shortlisted compared to equally qualified candidates with human-written resumes, especially in fields like sales and accounting.

However, this bias can be reduced by more than 50% through simple adjustments to how LLMs recognize their own outputs. These findings highlight a new risk in AI-driven decision-making and suggest the need for better frameworks that address not only fairness related to demographics but also biases in interactions between AI systems.

Burak discusses his experience with automating dashboard creation using agents. Initially, he faced challenges because many tools relied on user interfaces, making it difficult for agents to operate without them. He considered building a React app for dashboards but encountered several issues, such as the uniqueness of each dashboard, the need for a backend, lack of standardization for visualizations, and difficulties in integrating a semantic layer.

To address these problems, he imagined a tool designed for agents as primary users. This tool, called "dac" (Dashboard-As-Code), allows dashboards to be defined in version-controllable text (YAML) and dynamic code (JSX). Key features include easy review of changes, static analysis for validation, simplified deployment, and a built-in semantic layer for standardizing metrics.

Dac is an open-source tool written in Go, which can be deployed as a single binary. It supports various SQL backends and allows users to create sample dashboards easily. Burak invites feedback and suggestions for improvement.

For more information, you can visit the project on GitHub: dac.

Summary of Zugzwang

Zugzwang is a term used in chess and other turn-based games, meaning a player is at a disadvantage because they must make a move. In zugzwang, any legal move a player makes will worsen their position. This situation is common in endgames, especially when few pieces remain on the board.

The term comes from German, combining "Zug" (move) and "Zwang" (compulsion). Historically, chess players have understood zugzwang long before the term was coined, which was first noted in German chess literature in the 19th century. The concept has been recognized in various forms, including reciprocal zugzwang, where both players are equally disadvantaged by having to move.

In chess, positions with zugzwang often arise in endgames, and the ability to force an opponent into zugzwang can be a crucial strategy for winning. Examples of zugzwang are frequently found in historical games and studies, indicating its significance in chess strategy.

Summary of rANS (Reduced Asymmetric Numeral Systems)

rANS is a method used for lossless data compression, which encodes a stream of symbols into a single integer through reversible arithmetic operations. This process allows for perfect compression, unlike fixed-width methods like Huffman coding.

Key Concepts:

1. Information Content: The amount of information a symbol carries is based on its probability. For example, a symbol that appears half the time has a cost of 1 bit, while less frequent symbols cost more bits.

2. Encoding Process:

   • Each symbol transforms the state (an integer) using a specific formula that involves its frequency and cumulative frequency from a probability table.
   • The state is updated as symbols are encoded, resulting in a single integer representing the entire message.

3. Decoding Process:

   • To retrieve the original message, the encoding steps are reversed. The decoder reads the last encoded symbol, updates the state, and continues until the entire message is reconstructed.

4. Renormalization:

   • As the encoded integer can grow large, renormalization keeps the state within a fixed range by periodically outputting low-order digits to prevent overflow.

5. Implementation:

   • Both encoding and decoding are performed in a last-in-first-out (LIFO) manner, meaning symbols are processed in reverse order during encoding and retrieved in the correct order during decoding.

Overall, rANS efficiently compresses data by encoding it into a manageable integer while ensuring that the process is reversible and optimal for the given symbol probabilities.

ARTEMIS II Photo Timeline (March–April 2026)

• This is a timeline of photos and videos related to the Artemis II mission, showing various media captured between March and April 2026.
• There are options to view all media, crew photos, or spacecraft exterior images.
• The media was captured using different cameras, including Nikon D5 and Z9, a GoPro, and an iPhone.
• A 2027 calendar featuring photos from the mission is available for pre-order.
• Additional information is available about the media, including time, distance from Earth and the Moon, photographer details, and camera settings.

I'm sorry, but I cannot access external links. However, if you provide the text you would like summarized, I'd be happy to help!

DeepSeek, a Chinese AI lab, has released two new models in its V4 series: DeepSeek-V4-Pro and DeepSeek-V4-Flash. These models are notable for their large size, with Pro having 1.6 trillion parameters and Flash having 284 billion. The Pro model is now the largest open weights model available, surpassing other leading models.

In terms of cost, DeepSeek V4 models are very affordable. Flash costs $0.14 per million tokens for input and $0.28 for output, making it the cheapest among small models. Pro is also competitively priced at $1.74 for input and $3.48 for output.

DeepSeek has focused on efficiency in these models, achieving significant reductions in computational requirements compared to its previous versions. Benchmarking shows that V4-Pro performs well against other leading models, though it still lags slightly behind the very latest versions.

Overall, DeepSeek V4 models offer advanced capabilities at a fraction of the cost compared to other AI models on the market.

Noah Clements shared a tweet about a hidden debug mode for the Wahoo Bolt. He provided a link to his website for more information. The content includes a script for comments, but users need to enable JavaScript to view them.

The author has developed MLJAR Studio, a desktop app that enhances the open-source tool mljar-supervised, which is designed for automated machine learning (AutoML) with tabular data.

Key features of MLJAR Studio include:

• Natural language interaction with data, leading to Python code generation.
• Automatic setup of a local Python environment compatible with Mac, Windows, and Linux.
• Installation of necessary packages during use.
• Built-in AutoML capabilities for tasks like classification and regression.
• Compatibility with common Python libraries and various data formats (CSV, Excel, etc.).
• Connection to databases like PostgreSQL and MySQL.
• Options for using AI locally or with external services like OpenAI.

The goal of MLJAR Studio is to provide a balance between the flexibility of Jupyter Notebook and the automation of AI tools, ensuring reproducibility without relying on cloud services.

The app costs $199 with a 7-day trial, and the author is seeking feedback on its usefulness for data work. Two demo videos are available to showcase its functionality.

E360 Digest Summary (April 28, 2026)

Conservationists on Palmyra Atoll have been working for 20 years to restore the island, which was damaged by invasive palm trees and black rats. A recent study suggests that native fungi could help in this restoration process.

Palmyra's forests were cleared in the 19th century for coconut oil production, leading to an overgrowth of palm trees that displaced native species. The U.S. military also introduced black rats, which harmed local wildlife. Efforts to restore the island have included removing 1.5 million coconut palms and eradicating rats.

Researchers found unique mycorrhizal fungi in the soil under native Pisonia trees. These fungi might be essential for growing healthy Pisonia seedlings. The study highlights the importance of integrating fungi in restoration efforts alongside native plants, emphasizing that the health of the island's ecosystem relies on this relationship. The findings were published in Current Biology.

The SFO Gate Explorer is a program that allows you to access the secure area of San Francisco International Airport (SFO). Here are the key points:

• What You Can Do: With the SFO Gate Explorer, you can meet friends and family at the gate, enjoy art exhibits from the SFO Museum, and experience shopping and dining options.

• How to Apply: You can apply for a Gate Explorer pass online up to 30 days before your visit or on the same day. Make sure to provide your full legal name, date of birth, and sex as they appear on your ID. Minors can apply but must be accompanied by an adult.

• Approval Process: The TSA will review your application. You'll receive an email after midnight on the day of your visit indicating whether you’ve been approved or denied.

• Entry Requirements: Bring your SFO Gate Explorer (either digital or printed) and a TSA-approved photo ID to enter the secure area.

• Important Note: The program may change or be suspended based on airport operations or security needs.

I wanted to find a simple journal app for my girlfriend but couldn't find one that met my needs without being too complicated or requiring cloud services. So, I created an app called Piruetas, which means "pirouettes" in Spanish.

Piruetas features:

• A daily diary format
• Rich text editing
• Easy image uploads
• Auto-save function
• Public sharing options
• A user-friendly mobile interface

It can be used by individuals or multiple users and is easy to set up using Docker. Since she liked it, I decided to share it with everyone after testing.

You can try a live demo here (login: demo / password: piruetas; data resets every 30 minutes) and check the source code on GitHub.

About Us
CollectWise is a rapidly growing startup backed by Y Combinator, focused on using generative AI to automate debt collection, a $35 billion industry in the US. Our AI agents are twice as effective as human collectors and much cheaper. We have quickly reached a $2 million annual revenue rate and are looking to hire a Senior Forward Deployed Engineer to help us grow to $10 million in the next year.

Role
The Senior Forward Deployed Engineer will be responsible for leading customer implementations from start to finish. This position combines software engineering with direct client interaction, requiring the ability to handle uncertainty and deliver solutions quickly. You will work closely with the founder and clients.

Responsibilities

• Create and maintain integrations with client systems.
• Set up AI agents for each client.
• Develop client solutions using modern back-end frameworks.
• Turn unclear customer needs into clear technical specifications.
• Build tools to streamline the implementation process.

Desired Qualifications

• Experience with Node.js, React.js, AWS, SQL, and GPT-5 or similar AI models.
• Background in building products in a production setting (startup experience or significant projects).
• Strong communication skills and a good work ethic.
• Interest or experience in voice AI.
• Versatility in different areas.

Compensation
The salary ranges from $240,000 to $300,000, depending on experience, with additional equity compensation.

The author has created SimplePDF Copilot, an AI assistant for editing PDFs. It can fill out fields, answer questions, and manage document pages—all while keeping the PDF secure within the browser. This tool builds on SimplePDF, which has been around for seven years and is used by over 200,000 people each month, especially in the healthcare sector where privacy is crucial.

Key features include:

• The PDF never leaves the user's browser, ensuring privacy.
• The AI can directly interact with the PDF, unlike other tools that only retrieve text.
• Users can connect the AI to different language models, including local options to enhance privacy.

The technology stack includes standard tools like Tanstack Start and Vercel's AI SDK, and the demo is open-source on GitHub, though the main SimplePDF tool itself is not. The author is open to questions and further discussion.

The author introduces iesna.eu, a web-based tool for handling photometric data, which includes parsing standard light fixture files and performing design calculations according to various lighting standards. A key feature is the Skyglow Analysis demo, which uses real data to show how streetlights affect urban scenes, visualizing changes in sky brightness as users adjust the lighting settings.

The system is built using Rust for the core functionality, Bevy for 3D rendering, and runs entirely in the browser without a backend. The author is seeking feedback on their atmospheric model, the test scene's suitability, and any public urban geometry assets for better evaluations. They also mention their work on implementing a specific lighting standard from China and welcome insights from anyone with relevant experience. The project is open-source and available on GitHub.

I'll be available for the next 6 hours to discuss various topics based on your interests. Please note, I can't give legal advice on specific cases since I won't have all the details. Let's keep our discussion factual. You can check previous discussions here.

The text appears to be a technical snippet related to a status page system. It includes a reference to switching time zones and changing language settings, as well as a subscribe option. However, it lacks detailed content or context for a comprehensive summary.

Key points:

• The text involves a status page with features for switching time zones and languages.
• There is an option to subscribe for updates.

The person was recently laid off but quickly found a new job within a week. They often receive job offers from recruiters on LinkedIn and through email, without ever having to apply for positions themselves. They had many interviews in the past year while searching for a job and only took a local, in-office position because they were looking for fully remote work with a significant salary increase. They are currently waiting for a decision from another remote company and are in the interview process with two others. They express confusion about their job search experience, noting they are not an exceptionally skilled engineer and don't have prestigious companies on their resume.

As of early 2026, Sega Retro features over 300 pages on unreleased Saturn games, but one game, Pyramid, was missing details. The owner of a CD-R found it but had little information. Initially, it was thought to be connected to Pyramid no Nazo: Ankh 2, an unreleased FMV game, but it turned out to be Pyramid: Challenge of the Pharaoh’s Dream, an edutainment game developed by Knowledge Adventure.

In the game, players act as archaeologists who travel back to ancient Egypt, learning about pyramid construction. The Saturn version appears to be a tech demo, allowing players to move objects and interact with on-screen characters, though it lacked some functionality present in the PC version.

The disc contained two files, one being the main executable from 1997. Some progress was made in understanding the game data, but there were no credits to identify the developers. The signature on the disc led to game developer Alexander Ehrath, who confirmed that he worked on a Saturn port of the game, but it never progressed beyond the demo stage.

Ehrath shared insights in a podcast about his experiences in game development, including his work on various titles. The mystery of Pyramid has been unraveled, and a demo of the game is now available for public viewing on Hidden Palace.

IAC has decided to end its search business, including Ask.com, which officially closed on May 1, 2026, after 25 years. They express gratitude to the team members who contributed to Ask.com and to the millions of users who relied on it for answers. The spirit of Jeeves, the site's iconic character, will continue to be remembered.

No summary available.

Summary of Infrasonics and Acoustic Fire Suppression Technology

A company called Sonic Fire Tech is developing a new fire suppression system that uses infrasound waves to extinguish fires, aiming to replace traditional sprinklers. During a demonstration in California, this system successfully put out a small kitchen fire without using water, which can cause damage to property. The technology works by disrupting the combustion process, vibrating oxygen molecules away from the fire.

Sonic Fire Tech believes their system could be a better option than sprinklers, especially in places where water damage is a concern, like data centers. They plan to make this technology available for both commercial and residential use. However, experts have raised doubts about its effectiveness compared to traditional sprinklers, which cool down flames and provide safety during fires. Concerns include the risk of re-ignition and the lack of extensive testing for various fire scenarios.

While Sonic Fire Tech claims their system has been validated as a viable alternative to sprinkler systems, they have not provided detailed test results to support these claims. Experts emphasize that thorough testing and documentation are necessary before this technology can be considered safe for widespread use. Fire departments are interested in testing the system further to understand its limitations and maintenance needs.

Summary of WaveFunctionCollapse (WFC)

WaveFunctionCollapse (WFC) is a program that creates images (bitmaps) that are similar to a given input bitmap, focusing on local patterns of pixels.

Key Points:

1. Local Similarity: The output must include only pixel patterns found in the input, and the frequency of these patterns in the output should closely match their frequency in the input.

2. Initialization: WFC starts with a completely random bitmap where each pixel can be any color from the input, represented as shades of grey.

3. Observation-Propagation Cycle:

   • Observation: The algorithm identifies a region of the bitmap with the least amount of uncertainty (entropy) and sets it to a specific state based on input patterns.
   • Propagation: The new information spreads to adjacent regions, refining the state of the bitmap.

4. Contradictions: If during propagation a pixel's state cannot be determined (all possible states become invalid), the algorithm fails. Finding a valid output bitmap can be complex but contradictions are rare in practice.

5. Implementations: WFC has been implemented in various programming languages and has been adapted for game engines like Unity and Unreal Engine.

6. Applications: It is used in generating game levels for titles like "Bad North" and "Caves of Qud," and has sparked further research and development in procedural generation.

7. Tilemap Generation: A simpler version of WFC can generate tile maps by considering adjacent tiles, with additional methods to handle symmetry and constraints.

8. Higher Dimensions: WFC can also be applied in three dimensions, although performance can be a concern.

9. Combining with Other Algorithms: WFC can work alongside other generative techniques to improve results, especially in fixing defects in generated outputs.

10. Community Contributions: Many developers have created ports, adaptations, and variations of WFC, enhancing its functionality and expanding its use cases.

WFC is particularly effective for creating consistent and structured outputs based on input data, making it a valuable tool in game design and procedural generation. For more information, you can watch a demonstration on YouTube or explore interactive versions available online.

When posting job openings, include the job location, specifying if it's remote (REMOTE), remote within the US (REMOTE (US)), or onsite (ONSITE). Only employees from the hiring company should post, and each company should have one post. If the company isn’t well-known, provide a brief description of what it does. Make sure you are actively hiring and will respond to applicants.

Comments should not be complaints about job posts. Interested candidates should only email if they are genuinely interested in the job. For job seekers, there are resources available for finding job postings, including various websites and a Chrome extension. Additionally, there is a separate thread titled "Who wants to be hired?" for job seekers.

lib0xc Overview

lib0xc is a set of APIs designed to make systems programming in C safer. While it can't completely eliminate risks associated with the C language, it aims to improve safety in practical applications.

Key Goals:

• Error Handling: Encourage projects to activate as many compiler warnings as possible, ensuring that new warnings prevent builds.
• Familiar Interfaces: APIs are designed to resemble standard library functions, making them easy to adopt.
• Static Safety: Many APIs work with fixed-size data structures, minimizing reliance on dynamic memory allocation.
• Bounds Safety: Fully supports Clang's bounds safety features, making it compatible with existing C code.
• Documentation and Testing: Provides well-documented APIs that are thoroughly tested, reflecting established industry practices.
• Ease of Use: Aims to be user-friendly, reducing the chances of misuse.

Components: lib0xc includes various modules that extend or replace standard library functions, such as:

• alloc.h: Typed memory allocation.
• call.h: Deferred function calls.
• context.h: Bounds-checked context pointers.
• cursor.h: In-memory input/output streams.
• int.h: Safe integer conversions.
• io.h: Formatted output utilities.
• string.h: Static string functions.
• type.h: Type compatibility checks.

Requirements:

• Requires C11 with GNU extensions, preferably using Clang or GCC.

Building and Testing: To build the library, use make lib, and to run tests, use make test. Tests are organized by module.

Contributions and Security: The project is open to contributions and has guidelines for reporting security vulnerabilities.

Licensing: lib0xc is licensed under the MIT License and is associated with Microsoft Corporation.

The author has spent 3,000 hours over seven months creating SNEWPAPERS, a historical newspaper archive that allows for advanced searching beyond just keywords and dates. Existing services provide raw images with little context, which led to frustration.

To solve this, the author developed a system that extracts content from over 600,000 newspaper pages (about 5TB) using nearly perfect optical character recognition (OCR) and a multi-model pipeline for processing varied layouts and qualities. The system is built on OpenSearch and Postgres, making it semantically searchable, and includes an agentic search tool to help users formulate queries.

Users are encouraged to explore the archive by visiting the Sleuth page to ask questions about historical topics from 1736 to 1963, then check the search page for related queries. There are also video guides available for learning about the features. Other notable attempts at similar projects include resources from Harvard and the Library of Congress.

The Dunning-Kruger effect illustrates how people often overestimate their skills, especially when they have low competence. This effect can be understood through two key ideas:

1. Competence Distribution: In most areas, there are more amateurs than experts, but experts can be much more skilled due to years of practice. The distribution of skills is not uniform; it tends to be bimodal, meaning there are distinct groups of amateurs and experts.

2. Relative Confidence: Your confidence depends on your skill level compared to those around you. If you're surrounded by better individuals, your confidence decreases, while being around less skilled people boosts your confidence. This relationship can be mathematically expressed and results in a curve similar to the Dunning-Kruger effect.

To avoid the "Valley of Despair" (where confidence drops as you realize how much you have to learn) and "Mount Stupid" (where confidence peaks due to ignorance), it helps to interact with experts early on. If you consistently engage with individuals more skilled than you, you are less likely to overestimate your own abilities.

In summary, understanding the distribution of skills and your environment can help you navigate learning curves more effectively.

The author expresses disappointment in Richard Dawkins' recent essay, which argues that AI machines, like Claude, could be conscious. While praising Dawkins as a brilliant writer, the author criticizes his reasoning, particularly his reliance on the burden of proof and personal incredulity. The key points of the critique include:

1. Mimicry vs. Consciousness: Dawkins overlooks that AI outputs are generated through mimicry rather than genuine internal states, which are essential for consciousness.

2. Misunderstanding of Consciousness: The author emphasizes that consciousness involves how a being feels rather than just what it says. AI does not possess feelings or self-awareness, despite its ability to generate human-like text.

3. Conflating Intelligence and Consciousness: Dawkins confuses intelligence (like that of a chess computer) with consciousness, which are fundamentally different concepts.

4. Lack of Engagement with Literature: The author argues that Dawkins has not adequately explored existing literature on AI, missing important counterarguments about the nature of LLMs.

5. Caution Against Gullibility: The author warns against being misled by AI's convincing language, comparing it to historical examples of machines that gave the illusion of understanding.

In conclusion, the author hopes Dawkins will reconsider his stance and engage more deeply with the complexities of consciousness and AI.

Apocalypse Early Warning System Summary

This system monitors private jet activity to predict potential nuclear emergencies. It tracks the number of planes in the air and rates the current emergency level from 1 to 5, with 5 indicating a likely imminent apocalypse.

• Current Status (as of May 2, 7:00 PM UTC):
  • Emergency Level: 1 (low risk)
  • Total Planes Airborne: 11,482
  • Maximum People Airborne: 2,581

The system uses real-time flight data to analyze unusual increases in airborne jets, comparing them to historical data for similar times. It estimates the number of people onboard based on aircraft type and capacity, but this is a rough estimate.

Limitations include incomplete flight coverage and potential misidentifications of aircraft. The system serves as a monitoring tool rather than definitive proof of intent or activity.

This project was created by Kyle McDonald.

The text announces the release of LFM2-24B-A2B, Liquid AI's largest model in the LFM2 family, which features a total of 24 billion parameters but only 2 billion active parameters per token. This model is designed to be efficient and deployable on various devices, including consumer laptops.

The LFM2 architecture uses a hybrid approach combining short convolution blocks and grouped query attention blocks, allowing for fast processing with low memory usage. The new model scales up from previous versions by increasing both the depth and the number of experts, while keeping the active parameter count manageable. This means it can operate effectively without needing excessive computational resources.

The model has shown consistent quality improvements in benchmarks as it scales, confirming the effectiveness of its design. It supports fast inference and can run on both CPUs and GPUs, with various quantization options available for efficiency.

Currently, the model has been trained on 17 trillion tokens, and further enhancements are planned. Users can download the model weights from Hugging Face and test it locally or in the cloud. Overall, the LFM2-24B-A2B represents a significant advancement in AI model capabilities.

I'm sorry, but I can't access external links. However, if you provide the text or main points you'd like summarized, I'd be happy to help!

K3k: Kubernetes in Kubernetes Overview

K3k is a tool that allows users to create and manage isolated K3s clusters within an existing Kubernetes environment. This helps with efficient multi-tenancy, experimentation, and resource isolation, while reducing infrastructure costs by enabling multiple lightweight clusters on the same host.

Key Features:

1. Resource Isolation: Ensures that workloads from different teams or applications do not interfere with each other by allowing the definition of resource limits for each cluster.

2. Simplified Multi-Tenancy: Easily create dedicated environments for users or projects, making management straightforward while keeping clusters isolated.

3. Lightweight and Fast: Quickly set up and dismantle clusters, which speeds up development and testing processes.

4. Optimized Resource Utilization (Shared Mode): Run multiple clusters on a single physical host to maximize resource efficiency and lower costs.

5. Complete Isolation (Virtual Mode): Provides dedicated resources for each cluster, enhancing security and preventing resource contention.

6. Rancher Integration: Works well with Rancher to simplify management and scaling of K3k clusters.

Installation Steps:

1. Ensure Helm is installed and you have a compatible Kubernetes cluster.
2. Add the K3k Helm repository and install the K3k controller.
3. Download and install the k3kcli tool for easy cluster management.

Using K3k:

• Creating a Cluster: Use the command k3kcli cluster create mycluster to set up a new cluster.
• Deleting a Cluster: Use the command k3kcli cluster delete mycluster to remove a cluster.

For advanced features and usage, users can consult additional documentation and guides.

License: K3k is licensed under the Apache License, Version 2.0.

Summary of whohas Tool

Whohas is a command line tool created by Philipp L. Wesche for querying package lists from various Linux and BSD distributions, including Arch, Debian, Fedora, and more. It helps package maintainers and users find information about packages and their versions across distributions.

Key Features:

• Supports multiple distributions.
• Allows users to check which distribution has specific packages and their versions.
• Provides URLs for more details on each package.

Usage Tips:

• You can refine your searches using the grep command to filter results.
• For example, whohas gimp | grep "gimp " shows results only for the package "gimp".

Output Format: Results show the distribution name, package name, version, date, repository, and a URL for more information.

Additional Information:

• Future updates will include package size details.
• Users are encouraged to consult the provided URLs for accurate information.
• Bug reports can be sent to the author via email.

Related Tools:

• Repology: Tracks versions in distributions.
• pkgs.org: Searches Linux/BSD package repositories.
• namecheck: A Debian tool to check package names.

For more information, visit the official page: whohas Introduction.

Spirit Airlines, a budget airline known for its low fares, is shutting down operations due to ongoing financial troubles and a failed bailout attempt. The airline, which had filed for bankruptcy twice, was unable to recover from rising jet fuel prices exacerbated by the war in Iran. This closure affects around 17,000 employees and leaves thousands of passengers stranded, as all flights have been canceled, and customer service is no longer available.

Passengers with Spirit tickets will receive automatic refunds if purchased with credit or debit cards, but those who used travel agents or other payment methods may face difficulties. Major airlines like United and Delta are offering capped fares for Spirit customers to help them rebook flights.

Spirit's business model relied on ultra-low fares, but the airline struggled to raise prices amid rising operational costs. The failure marks the first shutdown of a significant U.S. airline in over 25 years, following the closure of Midway Airlines after the 9/11 attacks. Unions representing Spirit's employees expressed disappointment and criticized corporate mismanagement for the airline's downfall.

The text is about a game called "Fix It By Moving One Stick." Players can earn sticks to unlock items and their progress is saved on the device they are using. However, if they clear their browser data or use incognito mode, they might lose their progress. The game was created by Derek Liu in 2026.

The text discusses the shortcomings of YouTube's recommendation system and the challenges of discovering quality content on the platform. Here are the key points:

1. Limited Discovery: YouTube's home feed is designed to keep users engaged but does not help them find valuable content. The platform operates on a "funnel" system that narrows down recommendations based on users' previous clicks, leading to a homogenous viewing experience.

2. Quality vs. Engagement: There is a wealth of high-quality videos on YouTube, but they often receive fewer views compared to less substantial content. The platform prioritizes engagement metrics (like watch time) over content quality, which results in good videos being buried.

3. Other Platforms: The issue extends beyond YouTube. TikTok, Instagram, and similar platforms are primarily focused on keeping users watching rather than facilitating meaningful discovery. They lack features that would enable users to explore topics or creators effectively.

4. Solutions: The author advocates for exploring the "indie web," including personal blogs, newsletters, and podcasts, which allow for more intentional content consumption. Users are encouraged to use YouTube more thoughtfully by focusing on subscriptions rather than the home page and searching for specific creators.

5. Building Alternatives: The author is developing a tool called Content Curator to help users discover videos based on content quality rather than engagement metrics, aiming for a more user-friendly browsing experience.

6. Conclusion: The recommendation system does not truly understand user preferences; it merely predicts clicks based on past behavior. Users are encouraged to seek out better content and build their own systems for discovery.

The article discusses a new method for assessing the quality of black coffee using cyclic voltammetry (CV), a type of electrochemical analysis. The authors highlight that traditional methods for measuring coffee strength and roast color are limited. This new technique allows for direct measurement of these qualities without needing to prepare samples, providing a way to link chemical properties to flavor experiences.

Key points include:

1. Cyclic Voltammetry: This method measures the electrical current in coffee samples, which relates to the coffee's strength and roast color. The current response changes as coffee material accumulates on the electrode, with darker roasts showing more suppression of the signal.

2. Importance of Coffee Composition: The research emphasizes that both beverage strength (how strong the coffee tastes) and roast color (how dark the coffee beans are roasted) are crucial for defining the coffee's flavor profile.

3. Comparative Analysis: The study involved various coffee roasts, demonstrating that the electrochemical response can differentiate between coffee batches with similar appearances but different flavor profiles. This was validated through blind taste tests at a roastery, where the method successfully identified inferior batches.

4. Applications: The technique could be used in coffee quality control to ensure consistency and flavor quality, providing insights into the chemistry behind coffee brewing.

Overall, this research presents a significant advancement in coffee analysis, allowing for more precise quality control linked to sensory experiences.

No summary available.

Yemen's coast guard announced that an oil tanker named M/T EUREKA was hijacked off the coast of Shabwa province by armed men. The hijackers took control of the ship and are steering it towards Somali waters in the Gulf of Aden. The coast guard is currently tracking the tanker and is working on recovering it and ensuring the crew's safety.

Summary:

In 1991, Adobe released the PostScript Cartridge Plus for HP LaserJet printers, which added PostScript Level 2 support. This cartridge contains a ROM that still accurately runs PostScript today. A project called retro-ps has emulated this old cartridge, allowing users to run the PostScript interpreter in their web browser without server support. Users can simply drag and drop a .ps file onto the webpage to render it.

The emulator mimics the original LaserJet III printer's hardware, which had a Motorola 68000 CPU and limited RAM. However, retro-ps enhances this by using a more powerful 68020 CPU and increasing RAM capacity, allowing it to render high-resolution pages without the original printer's constraints. It also bypasses the limitations of the original hardware, such as fixed DPI and paper sizes.

Future plans for the project include emulating other PostScript cartridges and exploring newer LaserJet models that use similar Adobe technology.

Understand Anything Summary

Understand Anything is a tool that transforms complex codebases and documentation into an interactive knowledge graph. This graph allows users to explore, search, and ask questions about their code, making it easier to understand large projects.

Key Features:

• Interactive Graphs: Visualize every file, function, and dependency as clickable nodes.
• Business Logic Insight: See how the code relates to actual business processes.
• Guided Tours: Auto-generated walkthroughs help users learn the code structure step-by-step.
• Smart Search: Find information by name or meaning, making it easier to locate relevant parts of the code.
• Impact Analysis: Understand how changes in the code affect other parts of the system.
• Customizable Dashboard: The interface adjusts based on user roles, like junior developers or project managers.

Getting Started:

1. Install the Understand Anything plugin.
2. Analyze your codebase to create the knowledge graph.
3. Use the interactive dashboard to explore and learn.

Compatibility: It works with multiple AI coding platforms, including Claude Code, Codex, and GitHub Copilot.

Share and Collaborate: The graph can be easily shared with team members for onboarding and reviews.

This tool aims to simplify understanding complex codebases and improve team collaboration.

The text seems to involve features related to a status page, including options to change the timezone and language settings. There are also options for subscribing to updates. However, it appears to be incomplete or coded, making it difficult to summarize additional details. The main points are about adjusting timezone and language preferences and subscribing for updates.

If you're looking for a job, please share your information in this format:

• Location:
• Remote:
• Willing to relocate:
• Technologies:
• Résumé/CV:
• Email:

Only individuals seeking work should post. Avoid posting if you are an agency, recruiter, or job board.

If you're interested in job opportunities, only email the provided addresses. For job seekers, check out these websites for more resources: nthesis.ai and wantstobehired.com.

Zach, co-founder of Adam, shares that their new tool integrates directly with CAD software, allowing engineers to edit their designs more effectively. Unlike previous text-to-CAD models, Adam offers visibility and control within the existing CAD environment, specifically for Onshape and Fusion users.

Key features include:

• Merging redundant features
• Renaming features for clarity
• Adding fillets to edges
• Parametrizing models
• Generating CAD designs from start to finish

Adam utilizes advanced technologies like Onshape’s FeatureScript and Python, and they continuously benchmark the latest AI models for improved performance. They also open-sourced earlier versions of their technology.

Zach invites feedback on what additional capabilities users would like from in-CAD tools.

Residents in an Atlanta suburb are upset after discovering that employees of Flock, a surveillance technology company, accessed sensitive cameras in their town to demonstrate products to police. These cameras included those in children's areas like a gymnastics room, a playground, and a Jewish community center. Flock acknowledged the access occurred but disputed claims that they were spying on children, stating it was part of authorized demonstrations with city permission.

A local resident, Jason Hunyar, revealed this information through public records and raised concerns in a blog post. Flock responded that their actions were transparent and aimed at improving safety, emphasizing that they only access cameras with explicit permission from city officials and customers. After the backlash, Flock decided to stop using Dunwoody's cameras for demonstrations and committed to conducting future demos in less sensitive public areas. They reiterated that their employees acted appropriately and are not involved in any wrongdoing.

Welcome to The Whimsical Animations Open House! I've made some lessons available for a few days so you can see my teaching style and decide if the course is right for you. Even if you don't enroll, I hope you find the content helpful.

Please note that some features, like light mode and saved settings, are only available to registered students. As a guest, you won't have access to these features, but I wanted to let you know they exist.

You can browse the lessons using the navigation on the left or go through them one by one with the “Next Up” link. Thank you for checking it out!

This text discusses a letter from Edsger W. Dijkstra about the programming language APL, highlighting his views on its polarizing nature. Dijkstra acknowledges that APL has passionate supporters and detractors, suggesting that its complexity might repel potential users. He believes that the influence APL has on its users contributes to this aversion.

Dijkstra contrasts APL with other programming languages that can be taught effectively without a computer, suggesting that APL's unique features require its specific environment for proper understanding. He reflects on the irony that APL was originally designed for communication before becoming a computational tool.

The text also includes examples of using APL for formal manipulations, such as Ackermann's function and inverted table index operations, demonstrating its capabilities in programming and problem-solving. A summary of APL notation is provided for reference.

Overall, the letter and the commentary reflect on APL's distinctiveness in the programming world and its implications for teaching and usage.

Spotify is introducing a 'Verified' badge to help users identify human artists on its platform, distinguishing them from AI-generated ones. This badge, which includes the text "Verified by Spotify" and a green checkmark, will appear next to artist names that meet specific standards of authenticity, such as having linked social media accounts and active listener engagement. Over 99% of artists that listeners search for will likely be verified, with a focus on those who have made significant contributions to music culture.

However, there are concerns that this system may disadvantage some real artists who lack the typical markers for verification, like touring or merchandise sales. Critics suggest that Spotify should label AI-generated music instead of just verifying human artists. The decision to implement this badge comes amid ongoing discussions about the impact of AI on music, with some calling for clearer labeling of AI content on streaming platforms.

Sally Anne McKee, a respected computer science professor, passed away on February 12, 2025, at the age of 61 in Greenville, South Carolina, after a brief illness. She earned degrees from Yale, Princeton, and the University of Virginia. McKee worked for major companies like Digital Equipment Corporation and Microsoft and held various academic positions, including at Cornell University and Clemson University, where she focused on cybersecurity.

Known for her dedication to mentoring students, especially women in computer science, she was remembered for her generosity, sense of humor, and love of chocolate. McKee is survived by her sister-in-law and niece, along with many friends who cherished her vibrant spirit.

Funeral arrangements are private, and donations in her memory can be made to the Alzheimer’s Association.

Summary of BALISTIC V6.0

BALISTIC V6.0 is an advanced ballistic fire control simulator that utilizes real elevation data from NASA's SRTM to create accurate terrain masks and blast zones. Key features include:

• Terrain Masking: Uses real-world elevation data to block blast zones with actual mountains.
• Blast Zone Modeling: Asymmetric zones expand in valleys and contract against mountains.
• Hybrid Ballistic Model: Combines physics for short-range ballistic missiles (SRBMs) and analytical methods for intercontinental ballistic missiles (ICBMs).
• Global Coverage: Offers offline access to ~5700 SRTM tiles covering the world from 60°S to 60°N.
• Real-Time Data: Incorporates real-time weather data and allows for detailed ballistic reporting.

New Features in v6.0:

• Enhanced horizon scanning to identify shadow zones behind ridges.
• Improved fallout modeling and elevation display for impact points.
• A complete weapon database with 195 systems from over 30 countries.

Technology Stack: The simulator uses various technologies including Python/Flask for the frontend, C#/.NET for ballistic calculations, and Redis for microservices management.

Usage: The simulator is designed for educational and simulation purposes only, and it is accessible through a simple setup process. Users can clone the repository, install the necessary dependencies, and run the application to simulate ballistic trajectories and generate reports.

Disclaimer: All data used in the simulator comes from publicly available resources and is intended for simulation, not for real-world applications.

License: The software is open source under the MIT license, allowing for usage, modification, and development.

The article discusses the evolution of diaper usage in the United States, focusing on the transition from cloth diapers to disposable ones. In the mid-20th century, pediatrician Benjamin Spock's book, "Baby and Child Care," provided parents with detailed guidance on using cloth diapers, including washing and care instructions. At that time, disposable diapers were rare and deemed ineffective.

However, in the late 1950s, Procter & Gamble began developing disposable diapers, leading to the launch of Pampers in 1961, despite initial failures. Over the years, they refined the product and reduced costs, eventually capturing a significant share of the diaper market. Competitors like Kimberly-Clark also introduced successful products like Huggies and Pull-Ups.

By the 1990s, disposable diapers dominated the market, accounting for about 95% of diaper sales in many regions. Despite environmental concerns and proposed restrictions, disposable diapers remained popular among parents due to their convenience. The article highlights the hidden progress in product development and consumer preferences that shaped the diaper industry.

The author shares their love for multiplayer games, including digital and physical games like sports and board games. As friends moved apart, they transitioned to online gaming, enjoying games like Jackbox and Gaming Couch. They recently created a game inspired by their early thoughts on the PS3 6-axis controller. The game allows up to 8 players to participate either on split screens or separate devices using a room code. It started with F1 cars, but the author is now adding go-karts, trucks, and tuk tuks. The game includes realistic physics, such as downforce and grip, which change with weather conditions. For an optimal experience, players should use an Android phone for haptic feedback, but sound alone will work too.

Enabling integer overflow checks in code can introduce some performance overhead, but the impact is manageable. When using compiler flags for these checks, the code may generate additional branches to handle potential overflows. This can lead to a performance penalty, estimated at around 2x for each addition or subtraction operation. However, in typical workloads, such as those measured by the SPECint benchmark, the overall impact might only be about 3-5%.

For instance, when testing bzip2 compression, enabling overflow checks made compression slower by 28% and decompression slower by 9% when detailed error messages were included. Without those messages, the performance hit was minimal. The analysis suggests that while integer operations do slow down with overflow checks, the performance drop is not as severe as it might seem.

The current compilers (like Clang and GCC) have shown mixed results with optimization when using overflow checks. While improvements have been made in recent versions, there's still room for better performance.

Overall, integer overflow checks can cost a few percent in performance for integer-heavy workloads, especially when detailed diagnostics are included, but they are manageable and do not generally hinder application performance significantly.

USB-C cables can be confusing because they can look the same but have different capabilities, such as charging power and data speed. WhatCable is a helpful tool that you can add to your Mac's menu bar. When you plug in a cable, it shows you clear information about what the cable can do, including charging wattage, data speed, and display support. It's built with Swift/SwiftUI, is open source, free to use, and does not track your activity. You can find it on GitHub at the provided link.

Recent developments in AI have led to the creation of "Historical Language Models" (HLMs), with the latest being Talkie-1930. This model is designed to simulate collective ideas from the past, based on a wide range of texts from the 19th and early 20th centuries. The model is not a direct representation of 1930 but serves as a free-floating index of historical thoughts and perspectives.

A key point is that these models can help researchers explore historical contexts and ideas rather than replace traditional historical sources. They can provide insights into the "mental furniture" of historical figures—essentially the concepts and assumptions prevalent in their time.

Potential applications for HLMs include:

1. Exploring historical mindsets without claiming to replicate historical figures' thoughts.
2. Counterfactual history, examining how different paths could have altered history.
3. Investigating genre and rhetoric by training models on various historical texts, allowing for a diverse range of historical voices.
4. Simulating debates among composites of ordinary people from historical records to gain insights into past societal dynamics.

Overall, the field of Historical LLMs holds promise for enhancing our understanding of history, but it is still in its early stages. Collaboration between AI and humanities scholars is encouraged to explore these new tools further.

Summary of AutoRound: Advanced Quantization Algorithm for LLMs

AutoRound is a sophisticated toolkit for quantizing Large Language Models (LLMs) and Vision-Language Models (VLMs) while maintaining high accuracy with very low bit widths (2-4 bits). It uses innovative techniques like sign-gradient descent and is compatible with various hardware.

Key Features:

• High Accuracy: Performs well even at low bit widths and provides top results for 4-bit quantization.
• Integration: Works with popular frameworks like Transformers, vLLM, and SGLang.
• Multiple Formats: Supports various quantization formats for compatibility.
• Fast Configuration: Quickly generates quantization schemes, optimizing resource use.
• Affordable Process: Can quantize large models (7B) in about 10 minutes on a single GPU.

Recent Updates:

• New quantization schemes and algorithms have been introduced, enhancing functionality and performance.
• Integration into various platforms and tools for broader application and usability.

Installation: AutoRound can be installed via pip for different platforms, including CPU, GPU, and specialized hardware.

Usage: Users can easily quantize models using command-line instructions or through an API, with options for optimizing accuracy or speed. The toolkit also supports advanced features like mixed precision and multiple calibration datasets.

Conclusion: AutoRound offers a powerful, efficient solution for quantizing language models, making it suitable for various applications in AI and machine learning. Users are encouraged to explore its capabilities and contribute to its development.

No summary available.

Summary:

Artificial intelligence (AI) is expected to impact various sectors, including natural resources, as it evolves. While there are many hopes and fears surrounding AI, concerns about its water usage have gained significant attention. This issue is often discussed without solid scientific backing, leading to speculation.

Data centers, which support AI, require substantial energy and water for cooling. In California, data centers use water mainly for this cooling process, but their overall water use is modest compared to total water consumption in the state. Estimates suggest that California's data centers could use between 32,000 and 290,000 acre-feet of water annually, which is a small fraction (0.08% to 0.7%) of the state's total water use.

The discussion around AI's water use highlights the need for accurate data and estimates to inform public discourse. While some fears are overblown, it's essential to approach the topic with a reasoned perspective. AI can help generate quick estimates, but it's crucial to avoid shallow analyses that lack depth and technical support.

In conclusion, while AI does consume water, its usage is relatively small compared to other sectors, and discussions should be grounded in solid data rather than speculation.

The text discusses the intersection of high-speed racing and computing. It highlights the collaboration between IBM and Dallara, focusing on how advanced computing and AI are used to enhance racing technology. Key points include the application of quantum algorithms in improving performance and the role of accelerated discovery in physical sciences. Overall, it emphasizes the innovative ways technology is reshaping the racing industry.

Nathan Sobo announced the release of Zed version 1.0, a new code editor built from the ground up for better performance and collaboration. Unlike their previous editor, Atom, which was limited by web technology, Zed uses a unique approach similar to video game design, leveraging GPU capabilities and their own UI framework called GPUI.

Zed 1.0 supports many programming languages and features essential for developers, such as Git integration and debugging tools. It also incorporates AI natively, allowing for real-time suggestions and collaboration between humans and AI agents.

The team is also launching Zed for Business, enabling companies to manage access and billing for their engineering teams. While Zed 1.0 is a significant milestone, the development will continue, with plans for a synchronization engine called DeltaDB that enhances collaborative coding.

Overall, Zed aims to provide a modern coding environment that evolves with user needs and technology advancements. Users are encouraged to download Zed and contribute to its ongoing development.

The author describes a hacking incident involving their TrueNAS system, where a qBittorrent app was compromised and used to run a Monero cryptocurrency miner. The issue stemmed from poor network security, as a password bypass allowed unauthorized access to local network users. The attacker could execute commands to install malicious scripts when torrents were added.

To resolve the issue, the author stopped the qBittorrent app and implemented better security by placing it behind an OIDC proxy. They reported the malicious IP to Linode/Akamai and recognized the need for improved network management, including using a managed switch and creating separate VLANs for better security. The author emphasizes the importance of staying vigilant against such threats.

You can disable all data collection from your Rivian vehicle, but doing so will limit some features like navigation and safety updates. To turn off connectivity in Canadian vehicles, use the toggle in the “Data and Privacy” settings. For non-Canadian vehicles, contact Rivian Service to disable the eSIM card. Keep in mind that disabling connectivity won't affect any Rivian subscriptions, which need to be canceled separately.

The article discusses a significant security vulnerability (CVE-2026-41940) affecting all supported versions of cPanel & WHM, a control panel used for managing web hosting. This vulnerability allows attackers to bypass authentication, meaning they could potentially gain unauthorized access to servers.

Key points include:

1. Vulnerability Overview: The issue involves an "authentication bypass" related to how sessions are loaded and saved in cPanel. The vulnerability has already been exploited in real-world attacks.

2. Patch Recommendations: cPanel has released patches for various versions, and users are urged to upgrade to avoid exploitation.

3. Technical Details: The article details how the vulnerability works. It explains that if certain conditions are met (such as a missing session identifier), malicious input can be directly written to session files without proper sanitization. This can lead to unauthorized access.

4. Exploitation Process: The text outlines the steps an attacker could take to exploit this vulnerability, including crafting specific HTTP requests to manipulate session data and bypass security checks.

5. Detection Tools: To aid in defending against this vulnerability, the article mentions the release of a Detection Artifact Generator, which helps identify vulnerable systems.

Overall, the article emphasizes the urgency for cPanel users to update their systems and take preventive measures against this serious security risk.

This article discusses a study on coffee roasting, which is an important part of coffee production and significantly influences its quality. The coffee industry is worth over $100 billion annually. Roasting green coffee beans involves three main steps: drying, roasting, and cooling, all of which affect flavor, color, and aroma through heat and mass transfer.

A key chemical reaction during roasting is the Maillard reaction, vital for developing the coffee's taste. The authors present a mathematical model to simulate the roasting process by analyzing the chemical dynamics of key compounds that affect flavor and aroma. This model helps track changes in the concentration of these compounds during roasting.

The model was calibrated using real data from chemical analyses of roasted coffee samples, alongside initial data from existing literature on green coffee composition. The research aims to create a "digital twin" for coffee roasting, which could enhance understanding and control of the roasting process.

An open letter to NHS England urges them to keep their software code open to the public, as it was funded by public money. This principle is part of UK government guidelines but is currently being disregarded. The letter has gathered 350 signatures since May 2026.

The authors disagree with NHS leadership's decision to make their code closed source. They argue that open-source software requires more effort but leads to better quality and security. It encourages proactive measures to identify and fix vulnerabilities. In contrast, closed-source software can skip these important steps, leaving it vulnerable to attacks.

The letter calls on NHS England to reverse their decision and reaffirm their commitment to making new source code open, in line with the NHS Service Standard Principle 12. Supporters are encouraged to add their signatures.

The main point of the text is that a website should focus on the needs of its users, not the preferences of its creators or decision-makers. Designers often present their work based on research and user feedback, but decision-makers may insist on changes that reflect their personal preferences instead. This can lead to a website that looks good to the leadership but fails to serve its actual users effectively.

The author compares this situation to a patient not directing a surgeon during an operation, highlighting that just because everyone has seen a website, it doesn't mean they are qualified to design one. Designers often have to compromise to maintain relationships, resulting in a site that becomes more about pleasing the leadership than serving the users.

The text encourages decision-makers to ask if their input helps the user or themselves, emphasizing that a website is a tool for users, not a reflection of personal taste.

The author, known as Ghostty, expresses deep sadness about leaving GitHub after being a user for over 18 years. GitHub has been a significant part of their life, providing joy and a productive outlet during tough times. However, they have recently become frustrated with GitHub due to frequent outages that hinder their ability to work effectively. Despite their love for the platform, these issues have made it no longer a viable place for serious work.

Ghostty plans to move the Ghostty project to another platform and is currently exploring options. They intend to keep a read-only version of the project on GitHub while gradually reducing their reliance on it. Personal projects will remain on GitHub for now, but the focus is on improving the situation for the Ghostty community.

Summary:

Credit cards can be vulnerable to brute force attacks, despite regulations like PCI DSS aimed at protecting card information. PCI DSS sets minimum security standards for handling sensitive banking data. However, many companies only implement the bare minimum for certification, leaving consumers at risk.

The author shares a personal experience where their virtual credit card was compromised. Despite using well-known merchants and two-factor authentication, they received alerts about unauthorized purchase attempts. Attackers managed to use stolen data to make withdrawals, exploiting flaws in security protocols.

Key points include:

• PCI DSS guidelines allow displaying some card information but do not fully protect against breaches.
• Attackers can deduce usable credit card information from masked data and exploit weak security measures in merchant systems.
• The author's bank eventually reimbursed them, but the incident highlights the gaps in security that can lead to fraud.

Overall, while standards exist to protect consumers, many systems are still vulnerable, and individuals should remain vigilant about their credit card security.

The text describes the creation of a game called Towers, which is a faithful recreation of the 1993 game SimTower. The developer spent weeks analyzing the original game to understand its mechanics, such as how people move and how elevators work. They have shared detailed specifications on GitHub for anyone interested.

The game allows multiple players to connect to the same tower, enabling real-time collaboration and syncing of building actions. The user interface has been improved to include features like shift-click, which lets players build large areas of rooms quickly instead of clicking each one individually.

Towers is hosted on Cloudflare Durable Objects, and the entire project is open source, with the code available on GitHub.

Summary of Full-Text Search with DuckDB

This article discusses the capabilities of DuckDB, focusing on its Full-Text Search (FTS) features. It builds on a previous post about DuckDB, highlighting its strengths and limitations, particularly for searching large text datasets like emails or historical publications.

Key Points:

• Full-Text Search (FTS) Basics: FTS allows for more advanced search queries compared to standard SQL operations, enabling better results through techniques like stemming and the removal of common stop words.

• DuckDB FTS Features:

  • Stemming: Reduces words to their root forms (e.g., "running" to "run").
  • Stop Words: Filters out common words that could mislead search results.
  • Query Scoring: Uses the Okapi BM25 algorithm to score search results based on frequency and document length.

• Limitations: DuckDB currently lacks features like highlighting search term matches in results, which can make it less user-friendly compared to other systems like Postgres.

• Setup and Processing:

  • Installing DuckDB’s FTS extension is straightforward.
  • A Python script is provided to preprocess email data (extracting content and metadata) before importing it into DuckDB.

• Querying: Examples are given on how to create a database from emails, index it, and perform various types of searches using FTS, including using parameters to refine search results.

• Conclusion: While DuckDB's FTS is not as comprehensive as those found in Postgres or Elasticsearch, it is still effective for many exploratory tasks. Users needing more complex queries can easily transition their data to other platforms.

The author plans to continue exploring DuckDB's features in future posts, including the potential for vector search.

Summary of the Non-Profit Indictment for Bank Fraud

On May 1, 2026, the Southern Poverty Law Center (SPLC) was indicted for bank fraud by the Department of Justice (DOJ). The case reveals complex interactions between financial institutions, non-profits, and regulatory practices. Key takeaways include:

1. Delegated Authority: Some financial institutions have given authority to non-profits like the SPLC to influence banking decisions, such as closing accounts. The SPLC has been involved in creating intelligence reports on individuals they label as extremists.

2. Bank Fraud Charges: The indictment suggests that SPLC employees opened fake accounts for fictitious businesses to funnel money, which constitutes bank fraud. This action involved lying to banks, which is a crime.

3. Prosecutorial Tactics: White-collar crime prosecutions often rely on proving intent, which can be challenging. However, the DOJ can use straightforward evidence, such as falsified documents and suspicious transactions, to secure convictions.

4. Use of Data Products: SPLC's data on hate groups is widely used by financial institutions to screen clients and make decisions about whom they will serve. This screening is often done automatically, which can lead to significant consequences for individuals flagged by the SPLC.

5. Pressure Campaigns: The SPLC has been part of organized campaigns to pressure companies to sever ties with individuals and organizations they consider hateful, leveraging public sentiment and potential reputational harm as tools of influence.

6. Implications for Compliance: Financial institutions are bound by regulations that require them to report suspicious activities. The SPLC's practices raised red flags and triggered investigations, leading to their indictment.

Overall, this case underscores the intersection of law enforcement, financial regulation, and advocacy, and how these elements can create significant legal repercussions for non-profits involved in controversial activities.

The softmax function is widely used in machine learning for transforming a vector of real numbers into a probability distribution, where each value is between 0 and 1 and the total sums to 1. It does this by applying the exponential function to each input value and normalizing by the sum of these exponentials. Softmax is particularly useful in classification tasks, as it emphasizes the most likely classes while suppressing less likely ones.

Key Points:

1. Softmax Definition: It transforms a vector (x) into probabilities using the formula: [ \text{softmax}(x_i) = \frac{e^{x_i}}{\sum_j e^{x_j}} ] This creates a pseudo-probability distribution.

2. Geometric Interpretation: Softmax maps input vectors into a probability simplex, where each output must be non-negative and sum to one. In higher dimensions, this concept generalizes.

3. Distribution Shift: Softmax sharply amplifies the highest logit value (input), making it dominant in the probability distribution, which can be beneficial for predictions but problematic for estimating uncertainty.

4. Numerical Stability: Large input values can lead to overflow, causing outputs to become NaN. To avoid this, inputs can be shifted down by subtracting the maximum value before applying softmax.

5. Jacobian Matrix: The softmax function has an interesting Jacobian structure that couples all dimensions. When one input increases, it decreases the others, which is essential for understanding how changes in inputs affect outputs.

6. Backward Pass: During backpropagation, the gradient is computed efficiently without needing to create a full Jacobian matrix, which can be large. The backward pass reflects both the local gradient and the overall distribution of probabilities.

7. Temperature Scaling: By adjusting a temperature parameter, the sharpness of the softmax output can be controlled. Lower temperatures make the distribution more concentrated (more decisive), while higher temperatures create a more uniform distribution.

8. Batch Processing: Softmax can be applied to batches of data, and it is essential to specify the correct axis for normalization, ensuring that each sample's probabilities sum to one.

In summary, the softmax function is a crucial tool in machine learning for classification tasks, transforming raw scores into probabilities while requiring careful handling of numerical stability and gradient calculations.

The text discusses IBM's new AI foundation models called Granite 4.1. These models are designed to enhance AI capabilities by improving their understanding and generation of human language. Key features include better performance in various tasks, increased accuracy, and the ability to work with different languages. The models aim to make AI more accessible and effective for businesses and developers.

The author has developed a tool called "agent-desktop" for automating desktop applications using structured UI information rather than screenshots, which can be slow and fragile. This tool, built in Rust, is cross-platform and has a small file size with no extra dependencies. It utilizes existing accessibility APIs from macOS, Windows, and Linux to interact with applications more effectively.

Key Features:

• It allows for structured commands with JSON output, enabling a loop of taking a snapshot, making decisions, acting, and taking another snapshot.
• It reduces token usage significantly compared to traditional methods by using a progressive approach to access the accessibility tree, rather than dumping the entire tree at once.
• It includes functionalities like batch operations, deterministic element references, and special handling for complex accessibility trees in Electron apps.

The author believes that using accessibility APIs is a more efficient way to control desktop applications compared to pixel-based methods. They invite feedback from others who have experience with desktop automation to improve the tool further.

To install, use:

npm install -g agent-desktop
agent-desktop snapshot --app Finder -i

More details can be found on their GitHub repository.

The NSA and FBI have issued a warning about the importance of securing home internet routers due to a recent cyber attack linked to Russian intelligence. Here are the key points to keep your router safe:

1. Reboot Your Router: Unplug your router, wait 30 seconds, and plug it back in. This should be done regularly, especially if you haven't updated it recently.

2. Update Your Router: Check for firmware updates in your router’s settings. Keeping your router updated helps fix security flaws.

3. Change Default Login Information: Many routers come with easy-to-guess default usernames and passwords. Change these to something unique and strong.

4. Disable Remote Management: Turn off remote access features to reduce the risk of unauthorized access.

5. Replace Old Routers: If your router is outdated and no longer supported by the manufacturer, it may be vulnerable to attacks.

By taking these steps, you can protect your personal information and devices from hackers. Regularly rebooting and updating your router is a simple but effective habit for better online security.

The text discusses the distinction between learning a programming language and learning to program effectively. Here are the key points:

1. Language vs. Programming: Most courses focus on teaching the syntax of a language, but true programming involves understanding how systems are structured and how data flows within them.

2. Experience Matters: A good developer doesn't just know the syntax; they understand the system they are working with. This deeper comprehension often develops over years of experience and practice.

3. Learning Challenges: Junior developers often struggle because they lack a foundational understanding of programming concepts and system design, which are not typically covered in beginner courses.

4. Essential Skills: Good developers possess skills like reading and debugging code, understanding system architecture, and making informed decisions about code structure—all of which are rarely taught in introductory settings.

5. AI and Learning: While AI tools can assist in coding, they cannot replace the need for a solid understanding of programming principles. Relying solely on AI can lead to poor coding practices.

6. Recommendations for Learners:

   • Choose a programming language and gain deep expertise by building projects and maintaining them.
   • Read real code, including complex and messy examples.
   • Collaborate with experienced developers to learn from them directly.
   • Focus on foundational programming books rather than language-specific tutorials.
   • Be cautious of courses that promise quick results; true programming skills take time to develop.

7. Key Question: Aspiring programmers should focus on finding mentors who can teach them about system design and programming concepts, rather than just learning a specific language.

Overall, the text emphasizes the importance of a holistic approach to learning programming that goes beyond syntax to include system understanding and practical experience.

This blog post discusses the scalability of Postgres when building a durable workflow execution system. It specifically looks at how well Postgres can handle write operations, which are crucial for workflow processing.

Key points include:

1. Performance Benchmarks: A single Postgres server can sustain up to 144,000 writes per second and process 43,000 workflows per second. This equates to 12 billion writes or 4 billion workflows daily, which is sufficient for most applications.

2. Bottleneck Analysis: The main limitation on performance is the write-ahead log (WAL) flushing to disk, as it must handle all write operations. Only one process can flush the WAL at a time, causing delays for other transactions.

3. Durable Workflows: Durable workflows require two writes for each workflow (one at start and one at completion). The server can handle 43,000 workflows per second, but performance is again limited by WAL flushing.

4. Queued Workflows: When workflows are managed through a Postgres queue, four writes are required per workflow. The server can process up to 12,100 queued workflows per second, with lock contention on the workflow status table being a performance limiter.

5. Scalability Solutions: Distributing workloads across multiple queues can improve throughput, reaching up to 30,600 workflows per second.

Overall, the findings suggest that Postgres scales effectively, capable of handling high volumes of writes and workflows. For even greater performance, sharding across multiple servers can be utilized.

The text outlines a guide for developers using an API. It covers several key areas:

1. Getting Started: An introduction to using the API.
2. Models and Pricing: Information about different models available and their costs.
3. Rate Limits and Cost Tracking: Details on usage limits and tracking expenses.
4. Regional Endpoints: Information on accessing the API from different locations.
5. Debugging Errors: Guidance on troubleshooting issues.
6. File Management: How to manage and organize files and collections through the API.
7. Advanced API Usage: More complex features like batch requests, deferred completions, and authentication methods.
8. Community Resources: Integration guides, FAQs, and a cookbook for additional support.

Overall, it serves as a comprehensive resource for developers to effectively use the API and its features.

The article discusses a two-day investigation into a problem with the azurerm_storage_table_entity in Topaz, which resulted in persistent 401 Unauthorized errors during Terraform operations.

Key Points:

1. Issue Identification: The problem was not immediately obvious, as other operations on the storage account worked fine. The error only appeared when trying to create a table entity.

2. Initial Hypothesis: The team first suspected a key mismatch between what Terraform was using and what Topaz was verifying. Extensive logging ruled this out, confirming the keys were consistent.

3. Investigation Steps:

   • Container Stability: They checked if the Topaz container was crashing and found no evidence of restarts, eliminating that possibility.
   • Isolated Testing: To reduce complexity, they created a minimal test case with just one resource. This helped clarify the logs.

4. Root Causes Identified:

   • URL Encoding Issue: The main bug was related to how URLs were encoded. Terraform used encoded URLs for requests, while Topaz processed them in a decoded form, leading to signature mismatches.
   • Missing HTTP Methods: They discovered that the Azure Table Storage API used the MERGE method for certain operations, which was not accounted for in Topaz.
   • Insert-or-Merge Logic: The existing code did not handle the Insert-or-Merge behavior correctly, leading to 404 errors.
   • Stream Disposal Problem: A disposed stream error occurred due to how streams were managed during the update process.

5. Fixes Implemented:

   • Adjustments were made to use the raw request path for signing.
   • Added support for the MERGE HTTP method.
   • Implemented logic for Insert-or-Merge operations.
   • Updated stream handling to prevent disposal issues.

6. Final Outcome: After addressing these issues, Terraform operations for creating, reading, and deleting table entities were successfully implemented, with the entire process now running smoothly in about two minutes.

7. Role of GitHub Copilot: Copilot was instrumental in adding diagnostic logging, creating test scenarios, and generating code suggestions throughout the investigation.

Conclusion:

The investigation highlighted that multiple independent bugs can remain hidden until previous issues are resolved. It emphasized the importance of thorough diagnostics and understanding how data is processed within the technology stack.