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Summary: Why Clothes Shrink and How to 'Unshrink' Them

Clothes can shrink in the wash, often causing disappointment. This happens mainly because of the fabric's structure. Natural fibers like cotton and linen are made from irregular, coiled cellulose molecules. When washed, heat and moisture can disrupt the bonds between these molecules, causing the fibers to relax and return to their original crinkled state, resulting in shrinkage.

Different fabrics behave differently; for example, wool shrinks due to its protein structure, which entangles during washing. Synthetic fibers like polyester are more resistant to shrinkage because they are designed to be stable.

To prevent shrinkage, it’s best to wash clothes in cold water and use gentle cycles. If a garment has already shrunk, you can try to 'unshrink' it by soaking it in lukewarm water mixed with hair conditioner or baby shampoo, then gently stretching it back to shape. This method works by making the fibers more flexible. However, it may not completely restore the original size.

The FBI raided the Virginia home of Washington Post reporter Hannah Natanson on January 14, 2026, as part of an investigation into a government contractor accused of mishandling classified materials. The raid has been criticized by the Washington Post and press freedom advocates as a severe attack on press independence.

Former Post executive editor Marty Baron stated that this action reflects the Trump administration's aggressive stance against the media. Attorney General Pam Bondi claimed the raid was necessary due to Natanson reporting on classified information from a contractor who is now imprisoned.

The search resulted in the seizure of Natanson's devices, including her phone and Garmin watch. She is known for her reporting on federal workforce issues and has built a significant network of sources within the government. Critics argue that such invasive actions against journalists threaten press freedom and the public's right to know.

Organizations like the Reporters’ Committee for Freedom of the Press have condemned the raid, emphasizing that it could deter vital reporting and compromise confidential sources. There are calls for the Justice Department to explain the legal justification for the raid, as similar searches are often associated with oppressive regimes.

The author expresses a strong dislike for GitHub Actions, describing it as a frustrating tool that complicates their workflow. They share a recent experience while working on a project called "tmplr," where they encountered issues with continuous integration (CI) builds due to the way GitHub Actions handles cross-platform builds.

Despite successfully creating a script to generate project files, the CI process failed for one of the platforms (Linux ARM) because the required tool (CUE) was not properly installed for that environment. This led to a tedious feedback loop of searching for fixes, modifying configuration files, and waiting for builds to run, which was time-consuming and inefficient.

The author ultimately decided to abandon using GitHub Actions for this specific task, moving the logic to a Makefile instead. They reflect on the wasted time and frustration caused by GitHub Actions, acknowledging some benefits but feeling that it often hinders rather than helps. They conclude that while GitHub Actions is easy to set up, it has significant drawbacks that can be very aggravating.

In a recent blog post, John Graham-Cumming discusses the surprising technology found in disposable vapes, specifically a discarded "Fizzy Max III 60K Rechargeable Disposable Vape." He notes that this vape has a rechargeable battery, a USB-C charging port, and a display showing battery and fluid levels. After inspecting it, he found two circuit boards and an 800 mAh battery inside. Despite being a disposable product, it contains advanced tech, including heating elements controlled by microphones to create different vapor flavors. Graham-Cumming attempted to hack the device but had no success communicating with its microprocessor. He concludes that while these devices are meant to be thrown away, they contain a significant amount of recyclable technology.

Summary of "I Love You, Redis, But I’m Leaving You for SolidQueue"

Matt Kelly discusses the shift from Redis to SolidQueue in Rails 8, which has removed the requirement for Redis in job queuing, caching, and real-time messaging. Instead, Rails now utilizes existing relational databases like PostgreSQL for these functions, simplifying the technology stack for most applications.

Key Points:

1. Simplification: SolidQueue, SolidCache, and SolidCable allow developers to use traditional databases instead of Redis, reducing complexity in setup and maintenance.

2. Cost of Redis: Using Redis involves additional costs beyond hosting, including server management, configuration, and debugging across multiple systems.

3. How SolidQueue Works: SolidQueue leverages PostgreSQL's features, specifically the FOR UPDATE SKIP LOCKED clause, to efficiently manage job queues without the locking issues that plagued earlier database implementations.

4. Recurring Jobs: SolidQueue includes built-in support for recurring jobs, eliminating the need for additional libraries.

5. Job Concurrency: SolidQueue offers concurrency limits for jobs for free, which was previously a paid feature in Sidekiq.

6. Monitoring: SolidQueue integrates with Mission Control, a free tool for monitoring job status, inspecting failures, and managing recurring tasks, all using familiar SQL queries.

7. Migration: Transitioning from Sidekiq to SolidQueue is straightforward, requiring only a few configuration changes in Rails.

8. When to Use Redis: Redis is still recommended for applications that need to process thousands of jobs per second or require specific real-time features that benefit from Redis's capabilities.

9. Scalability: SolidQueue scales well for most applications, with examples showing that PostgreSQL can handle high job volumes effectively.

In conclusion, while Redis has been a reliable tool for many applications, SolidQueue offers a simpler and more efficient alternative for the majority of Rails applications, allowing developers to focus on product development rather than system maintenance.

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Summary of 1000 Blank White Cards

1000 Blank White Cards is a party card game where players create their own deck of cards during play. The game can be enjoyed by any number of players and is suitable for both adults and children. Unlike traditional games with fixed rules, this game allows players to define the rules through the cards they create, making it a flexible and dynamic experience.

Key Points:

• Game Structure: The game has three main parts: creating the deck, playing the game, and an epilogue where players decide which cards to keep for future games.
• Deck Creation: Players start with a mix of pre-made and blank cards. Each player typically creates several new cards to add to the deck before gameplay begins.
• Gameplay: There are no set rules; players draw and play cards in any order they choose, with the option to modify rules as they play. The game continues until no cards are left to draw.
• Epilogue: After the game, players collectively decide which cards to retain for future games. Some players use a "Suck Box" to vote on cards they feel are uninteresting.
• Card Structure: Each card usually has a title, an illustration, and a description of its effect on the game. The design and content of the cards can vary widely.
• History: Created in 1995 by Nathan McQuillen, the game gained popularity in the late 1990s through college networks and has since become part of gaming culture.

Overall, 1000 Blank White Cards emphasizes creativity and improvisation, making each game unique and engaging.

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Summary: Why NUKEMAP Is No Longer on Google Maps

Alex Wellerstein discusses the reasons why his project, NUKEMAP, is no longer using Google Maps. He created NUKEMAP in 2012, relying on Google Maps’ API, which was initially very helpful and free. However, over time, Google changed its pricing model significantly, leading to enormous fees—up to $1,800 per month—which were unsustainable for a small educational project like NUKEMAP.

Wellerstein expresses frustration with Google’s lack of support for small developers and the rapid changes in their services and pricing. He notes that educational institutions are often excluded from Google’s nonprofit support programs, which adds to the difficulty of using their services.

As a result, he switched to alternative mapping solutions, specifically MapBox and Leaflet, which provide better support and more affordable pricing. He emphasizes that he will no longer teach students to use Google Maps for projects, favoring Leaflet instead. Wellerstein highlights that MapBox has been much more responsive and supportive compared to Google.

Overall, his experience illustrates the challenges faced by small developers when relying on large tech companies and the importance of finding viable alternatives.

Lago is an open-source company that focuses on billing solutions, primarily using Ruby. They provide services for complex use cases, particularly for infrastructure companies and enterprises, with notable clients like Groq, Mistral, CoreWeave, and PayPal. Lago is currently investing in improving revenue operations by utilizing billing and usage data. If you're interested in job opportunities, you can check their official job board at getlago.com/hiring or contact them at [email protected], regardless of whether a position is listed.

The author was developing a feature for Greptile, an AI code review tool, to add clickable links to GitHub pull request (PR) comments. However, they encountered an issue because GitHub uses two different ID systems: node IDs from the GraphQL API and database IDs from REST responses. The node IDs were complex and encoded, making it difficult to create the necessary URLs.

After examining the IDs, the author discovered that the database ID is embedded in the lower 32 bits of the decoded node ID. They devised a simple method to extract the database ID without needing to change their database.

Further investigation revealed that GitHub's old and new repositories used different ID formats. Old repositories have a straightforward format, while new ones use a more complex base64-encoded structure. The author found that the new format encodes data into a compact binary format called MessagePack.

In the end, the author created a function to convert node IDs into database IDs, allowing them to generate links for their tool. They enjoyed the process of uncovering these details, although it highlighted the complexity of GitHub's ID systems.

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Summary: System Programming in Linux: A Hands-On Introduction "Demo" Programs

This repository contains the source code for the programs from the book "System Programming in Linux: A Hands-On Introduction" by Stewart Weiss, published by No Starch Press. The book is available on Amazon and its webpage offers more details.

Key Points:

1. Code Availability: The code may differ from what is in the book. For the original version from the first printing, check the "firstprinting" branch.

2. Building Programs: Instructions on how to build the programs can be found in the section titled "How To Use This Repository." A CHANGES file notes any updates made to the code.

3. Licensing:

   • Complete programs are licensed under the GNU General Public License (Version 3).
   • Library functions are covered by the GNU Lesser General Public License (Version 3).

4. Repository Structure:

   • Subdirectories are organized by chapter (ChapterNN) or by function (e.g., "include," "lib," "makefiles").
   • Each chapter contains code related to that chapter of the book.

5. Contributions: Suggestions and bug reports are welcome. You can create an issue with detailed descriptions for improvements.

6. Using the Repository:

   • Each chapter has its own collection of programs, and a README file may provide specific instructions.
   • To build programs, first navigate to the common directory and run make and then make install. After that, go to the desired chapter and run make there.

This summary simplifies the key information about the repository and how to use it effectively.

Summary:

A recent change in the OpenJDK code improved the performance of the method ThreadMXBean.getCurrentThreadUserTime() significantly. The old implementation was very slow, taking 30 to 400 times longer than the newer method, which uses clock_gettime() instead of reading from the /proc filesystem.

Key changes include:

• Old Code: Involved multiple steps: opening a file, reading, and parsing it, leading to many system calls and slower performance.
• New Code: Simplifies the process to just one function call (clock_gettime()), which is much faster as it directly retrieves the CPU time without file operations.

The performance tests showed that the new version reduced the average time from 11 microseconds to about 279 nanoseconds, resulting in a 40 times improvement. Further optimizations were suggested that could enhance performance even more by reworking how the clock ID is constructed.

The change highlights the importance of understanding system-level details and reassessing old code assumptions, leading to significant performance enhancements. Users of the new JDK 26, releasing in March 2026, will benefit from this improvement for better thread performance.

I created an open-source AI tool that allows users to search through the entire Epstein files, which contain about 100 million words of publicly available documents. The main goal is to make these complex documents easily searchable without relying on traditional keyword searches.

Key features include:

• The entire dataset is indexed for quick access.
• Users can ask questions in natural language.
• Answers are reliable and come with references to the original documents.
• It enables both precise text searches and broader semantic searches.

This tool helps users explore the primary sources directly, making it easier to verify information without sifting through countless pages. You can find more technical details and the code on GitHub: GitHub link.

Summary:

The blog post discusses a new system for automatically generating targeted unit tests to catch rare bugs in software, specifically highlighting a bug in Anthropic's approximate top-K function. Traditional testing often misses these rare bugs, which can be problematic when they reach production.

The system uses a method called fractional proof decomposition to create unit tests without needing prior bug reproducer code. The process involves three main steps:

1. Identify and Encode Theorems: Define key properties (theorems) that the code should satisfy and encode them as property-based tests (PBTs).

2. Decompose Theorems: Break down the main theorem into smaller sub-theorems to create more manageable tests, ensuring that they cover important edge cases.

3. Recursive Testing: Continue to decompose until the tests are efficient enough to catch rare bugs without excessive compute power.

This approach allows developers to systematically find bugs while optimizing for speed and efficiency. The system was successful in identifying the top-K bug quickly, demonstrating its potential for improving software reliability. The author encourages developers to adopt this method to reduce the chances of bugs slipping into production.

The article "Putting the 'You' in CPU" explains how your computer runs programs. It covers key topics like:

• Multiprocessing: How computers run multiple tasks at the same time.
• System Calls: The way programs request services from the operating system.
• Memory Management: How computers handle memory through hardware interrupts.
• Linux Executable Loading: The process Linux uses to start programs.

It's a guide to understanding the inner workings of computers in a simple way.

GleamNews offers various sponsorship packages for community engagement. They provide documents and coding resources to help sponsors understand and participate effectively.

The text discusses a paywall notice from the Financial Times (FT), offering subscription options for digital access. Here are the key points:

1. Subscription Offers:

   • New users can access FT articles for $1 for the first 4 weeks, followed by a regular fee of $75 per month.
   • There are other subscription plans available, including a standard digital package for $4.99 a month and a premium digital package for $75 a month, which includes full access to articles, newsletters, and exclusive content.

2. Features Included:

   • Subscribers get access to global news, expert opinions, the FT app on various devices, curated newsletters, and videos/podcasts.

3. Access Information:

   • Users are encouraged to check if they already have access through their university or organization.

4. User Experience:

   • The page includes options for readers to explore different subscription plans based on individual or organizational needs.

Overall, the text promotes various subscription options for readers interested in FT's journalism and analysis.

This text is about a paper titled "A Brief Introduction to the Basics of Game Theory" by Matthew O. Jackson, which provides a concise overview of game theory concepts. The paper is intended for students who may not have prior knowledge of the subject. It was published on December 5, 2011, and last revised on January 22, 2017. The paper has been well-received, with over 325,000 downloads and 622,000 views. If you're interested in game theory, this paper serves as a helpful starting point.

The question of whether Rust is faster than C is complex and depends on various factors. Here are the key points:

1. Definition of "Same": Comparing implementations in Rust and C is challenging because "all things being the same" can mean different things, affecting performance comparisons.

2. Inline Assembly: Both Rust and C support inline assembly, allowing for similar low-level operations, though Rust has it integrated into the language, while C typically requires compiler extensions.

3. Data Structure Layout: Rust can optimize data structures differently than C. For example, a struct in Rust can be smaller in size due to field reordering, which can impact performance.

4. Developer Confidence: Rust's safety features may encourage developers to write more efficient but riskier code, unlike C, where they might play it safer. This can lead to differences in performance outcomes on similar projects.

5. Compile Time vs. Runtime Checks: Rust performs some safety checks at runtime (like bounds checking), while C does not have these checks by default. This can influence the way developers write code and, subsequently, the performance.

6. Conclusion: There is no inherent reason why Rust couldn't achieve the same performance as C in theory. However, various factors, including project specifics and developer experience, make it hard to generalize performance comparisons.

In summary, while Rust and C can be compared, many variables influence their performance, making it difficult to definitively say one is faster than the other.

This article offers advice for early-stage startup founders (Seed, Series A) who feel they have engineering management issues. The main takeaway is that, instead of managing engineers, founders should focus on product development and user interactions.

Key Points:

1. Avoid Micromanagement: Founders often worry about motivating engineers, leading to practices like enforcing long hours or unnecessary meetings. This can push talented engineers away and distract founders from more important tasks.

2. Hire Motivated Engineers: Look for engineers who show natural motivation during the hiring process, such as past achievements, resilience, and curiosity.

3. Delay Hiring Managers: Prematurely hiring managers can lead to inefficiency. Early-stage teams should remain flat and allow engineers to self-organize until the company is ready for management structures.

4. Recognize Growth Stages:

   • Founding Stage: Focus on building a product with a small, self-organizing team.
   • Multi-Team Stage: Maintain a single reporting structure to foster culture and speed.
   • Early Growth Stage: When the team grows, consider adding management only if necessary to maintain efficiency.

5. Stick to Proven Management Practices: Avoid copying large companies like Google and instead use simple, effective management strategies that fit early-stage startups.

6. Boring Management Tools: Use straightforward tools for management, such as clear communication and asynchronous updates, to minimize overhead and keep the focus on product development.

In summary, founders should prioritize hiring the right people and creating an environment that fosters motivation, rather than getting bogged down in management tasks too early in the startup's life.

The text discusses the mysterious nature of the J.P. Morgan Healthcare Conference in San Francisco, comparing it to a historical work by Athanasius Kircher that speculated about the Earth’s interior. The author notes that while the conference is well-documented and has taken place for over forty years, no one they know has actually attended it. This raises questions about its reality and the nature of the coverage it receives, which often feels hollow and lacking in personal experiences.

The conference focuses on various themes related to artificial intelligence in healthcare, but the author expresses skepticism about whether the discussions are meaningful or just superficial chatter. They draw parallels between the conference and historical hoaxes, suggesting that while the event may be real, its significance is more about social coordination than substantive content.

The author proposes a theory that the conference serves as a ritualistic gathering, akin to a religious pilgrimage, where participants orbit around the event without truly engaging in it. They speculate that the Westin St. Francis Hotel, where the conference is held, may be situated above a massive organism under California that the biotech industry is trying to sustain, thus linking the conference to broader economic and environmental concerns.

In summary, the piece explores the enigmatic nature of the J.P. Morgan Healthcare Conference, questioning its authenticity and significance while suggesting it functions as a social contract within the biopharmaceutical industry.

Summary

The vLLM team has successfully upgraded to the V1 engine, improving performance for large-scale serving of language models. Key achievements include:

• High Throughput: The system now processes 2,200 tokens per second per H200 GPU, a significant improvement from 1,500 tokens.
• Optimizations: Enhancements include:
  • Wide-EP: Maximizes efficiency by activating only a fraction of the model's parameters during each pass.
  • Dual-Batch Overlap (DBO): Increases GPU utilization by overlapping computation and communication.
  • Expert Parallel Load Balancing (EPLB): Balances workloads across experts to prevent idle resources.
  • Disaggregated Serving: Allows for flexible processing of requests across multiple ranks.

These advancements are supported by contributions from nearly 2,000 community members and are validated by benchmarks from various major tech companies. Deployment options like llm-d, Dynamo, and Ray Serve LLM provide pathways for efficient large-scale model serving. The vLLM team continues to work on further improvements, including elastic expert parallelism and optimizations for large models.

Rego's Everyday Life is a blog where Rego shares experiences and insights from his job at Igalia, a company he works for.

Summary:

In a game involving friends Alice and Bob, you guess the outcome of a coin flip based on Alice's report, which is truthful 80% of the time. You trust Alice and achieve an 80% success rate. When Bob joins and also lies 20% of the time, your accuracy remains at 80%, despite having two sources of information. This is because when Alice and Bob disagree, you gain no useful information.

If a third friend, Charlie, joins the game, your accuracy improves to 90% because he can act as a tiebreaker when Alice and Bob disagree. However, if a fourth friend, David, joins, your accuracy drops back to 90% due to possible ties among four players. This pattern continues: adding more friends does not improve your guessing accuracy if the number of friends is even.

This phenomenon relates to Condorcet’s jury theorem, which states that having more voters improves decision-making only if the group size is odd. The author found this surprising while simulating the scenario and was delighted by the results.

This afternoon, I shared tips on presenting a new programming language on Hacker News (HN). I noticed that HN has a tradition of posts titled "The {name} programming language," and I thought it would be fun to find these posts. I focused on the interesting ones, which can be found in curated lists on HN.

Additionally, there are "Show HN" posts for programming languages, and these lists are fixed, meaning they don’t get updated.

Some notable examples include:

• The Go Programming Language (Nov 2009)
• The Rust Programming Language (July 2010)
• The Julia Programming Language (Feb 2012)
• The Swift Programming Language (June 2014)

While well-known languages are highlighted, the more obscure ones can be the most entertaining.

Building a 1D-Pong game is a fun project often done at the Chaos Communication Congress. Inspired by a version I saw at 38C3, I created my own for 39C3, which many people enjoyed, and it was even featured in a podcast. The game is simple at first but becomes challenging as the speed increases, making it entertaining.

I used Claude Code to improve my existing code and published it on GitHub without any issues. I'm excited for others to try it and create their own versions, as there are many ideas to explore. I'm curious if we could end up with a community of networked 1D-Pong games!

This text is a critique and case study of the Emacs Widget Library, focusing on its strengths and weaknesses.

Key Points:

1. Overview of the Widget Library: The Emacs Widget Library has been a part of Emacs since 1996, primarily used for creating forms in the Customize interface. Despite its long history, it is often difficult to work with for complex tasks.

2. Strengths:

   • Deep Integration: Widgets are treated as text within buffers, allowing seamless interaction in both GUI and terminal versions of Emacs.
   • Performance: The library handles many widgets without performance issues due to its text-based nature.
   • Type Hierarchy: It allows for the creation of new widget types that inherit behaviors from existing ones, which can be powerful.

3. Weaknesses:

   • Layout Challenges: While good at defining widget types, the library lacks proper layout management, making it difficult to arrange widgets spatially.
   • No State Management: The library does not provide modern state management patterns, requiring manual updates and making complex forms cumbersome.
   • Flat Structure: Widgets are inserted sequentially without a hierarchical structure, complicating event handling and state management.

4. Case Study: The author shares their experience building a table widget with editable cells. This involved complex calculations for layout and state management, revealing the library's limitations and the manual effort required to achieve desired functionality.

5. Conclusion: The Emacs Widget Library is powerful but difficult to use for complex UIs. While it works well for simple needs, developers should be prepared for significant challenges when building intricate interfaces. The author introduces a new UI layer, vui.el, which aims to simplify the development process while still leveraging the widget library's performance.

Overall, while the widget library is functional, it requires a steep learning curve and careful management of its limitations.

Here are some examples of projects you can check out:

• A project called "Proof is in the Pudding" can be found here.
• A Hugo clone that compiles to native code is available here.

These projects currently support Linux and macOS.

Tulip Creative Computer Overview

The Tulip Creative Computer (Tulip CC) is a portable, low-cost computer designed for music, graphics, coding, and writing. It features a touchscreen, sound capabilities, and runs on MicroPython, allowing users to easily create programs for various applications.

Key Features:

• Programmable: Users can write code to create music, games, and more.
• Instant Boot: It starts quickly into a Python prompt, enabling immediate coding.
• Open Source: Both hardware and software are open source, allowing anyone to buy or build their own Tulip.
• Web and Desktop Versions: Tulip can be used online or as a native app for Mac and Linux.

Hardware Specs:

• 8.5MB RAM and 32MB flash storage.
• AMY synthesizer with 120 voice capabilities.
• Supports MIDI, USB peripherals, and I2C devices.
• Wi-Fi connectivity for network access.

Getting Started:

• Users can easily run Python programs, use a built-in text editor, and access a range of graphic and sound functions.
• Tutorials are available for making music and other projects.

Community and Support:

• A dedicated chat platform (Tulip World) for sharing messages and files with other users.
• Troubleshooting guides and development resources are available.

Tulip CC is suitable for anyone interested in creative computing, whether for fun projects or serious development.

The UK government has abandoned its plan to require workers to use a new digital ID system to prove their right to work. Instead, existing checks using documents like biometric passports will transition fully online by 2029. Conservative leader Kemi Badenoch criticized Labour leader Sir Keir Starmer for this change, labeling the original digital ID plan as ineffective.

Labour’s Business Secretary Peter Kyle emphasized the need for clearer communication about new policies, as the government has faced several recent reversals on various issues. Despite the U-turn, the government still intends to implement mandatory digital checks to help combat illegal working, with plans for a more streamlined, digital process in the future.

Public support for the digital ID has significantly declined, with nearly three million people signing a petition against it. There is also growing frustration among Labour MPs over the government's frequent policy changes. Critics from various parties, including the Liberal Democrats and Reform UK, have expressed their opposition to the digital ID scheme.

The government has stated that digital IDs would make services more efficient and secure, though the specifics of how the system will work remain unclear. Current systems for verifying work eligibility include a mix of paper-based methods and some digital options for British and Irish citizens.

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The article discusses how to securely handle sensitive information, like API tokens, in an interactive shell without exposing them to other processes or saving them in history. Here are the key points:

1. Process Information Leakage: Using commands like curl with sensitive tokens directly in the command line can expose these tokens to all processes on the system, as they can be viewed through the /proc directory.

2. Preventing Leakage:

   • Instead of passing secrets on the command line, you can store them in a temporary file that is not accessible to others. Use a command like umask 077 to restrict file permissions.
   • You can also use process substitution in Unix-like systems to provide a secret without storing it persistently.

3. Shell History Leakage: Even if you avoid command line exposure, commands are often saved in shell history. To prevent this:

   • Use the HISTCONTROL variable to ignore commands with leading whitespace, but this is inconvenient.
   • Instead, use the read command to enter the token, which keeps it out of history.

4. Using Command Outputs: You can retrieve the secret from clipboard tools or password managers, which is more flexible and avoids issues with spaces or special characters.

5. Environment Variables: While it's common to use environment variables for secrets, they can expose sensitive information to all child processes. It's safer to use local shell variables that are not inherited by other processes.

6. Conclusion: The author suggests being cautious with sensitive information handling, as there are many potential leakage points. They recommend avoiding persistent unencrypted files and considering using programming languages with better safety features than Bash.

This approach may seem overly cautious, but it aims to improve security awareness around handling secrets in command-line environments.

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The author is interested in how people are implementing Retrieval-Augmented Generation (RAG) in their local setups with few dependencies. They want to know if others are using tools like vector databases, semantic search, knowledge graphs, or hypergraphs for managing internal code or complex documents.

No summary available.

I'm sorry, but I can't access external links. If you provide the text or key points from that link, I can help you summarize it.

CacheKit Summary

CacheKit is a Rust library designed for creating efficient caching systems. It offers:

• High-performance Cache Policies: Implements various cache strategies like FIFO (First In, First Out) and LRU (Least Recently Used).
• Tiered Caching: Allows for layered caching approaches.
• Metrics and Benchmarks: Optionally includes tools for measuring performance.
• Modular API: Flexible API suitable for systems where caching control is important.

Key Features:

• Optimized performance and predictability.
• Supports both in-memory and composite caching.
• Can integrate with metrics collectors like Prometheus.
• Includes benchmarks for evaluating caching policies.
• Compatible with Rust's no_std environments.

Documentation: The library has extensive documentation covering design, policies, benchmarks, and integration details.

Installation: To use CacheKit, add it to your project by including this in your Cargo.toml:

[dependencies]
cachekit = { git = "https://github.com/OxidizeLabs/cachekit" }

Example Usage: You can create an LRU cache with a specified capacity and perform operations like inserting and retrieving items.

Summary:

The text outlines steps for accessing a Member Portal, including the login and registration process. Users can log in by entering their email and password or register for an account if they work for a Member organization. There are additional features available, such as news updates, research topics (including Biomechatronics), FAQs, and support for the Media Lab. The portal also provides access to events, publications, job opportunities, and contact information.

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I created Nogic, a VSCode extension, to help developers understand code better as AI tools make coding faster. It allows users to see the code structure visually, which helps with learning new codebases quickly. Although it's still in early stages, it's functional, and I welcome feedback on its usefulness and which connections in the code are most important to visualize.

The author created seapie in 2019 as a response to the command-driven interface of pdb. Seapie allows users to open a Python REPL (Read-Eval-Print Loop) at any point in the code, making it easier to debug. When using seapie.breakpoint(), you can interact with the current state of your program, and any changes made to variables will be saved. It also includes built-in tools for debugging, with simple commands for controlling the debugger. The author has used seapie in their own work for several years and welcomes questions or feedback, especially from experienced debugger users.

When hardware products reach their end-of-life (EOL), companies should be required to open-source their software. This idea builds on the "Right to Repair" movement and aims to reduce e-waste. For example, a "smart" weight scale I own still connects via Bluetooth, but the app is no longer supported, making it mostly useless. This situation is frustrating, especially as we see more electronics becoming waste when companies stop supporting them.

While some companies, like Bose, have taken steps to support their products, many others, like Spotify with its $200 Car Thing, simply abandon their hardware, leading to unnecessary waste. The proposal here is for companies to share basic information about their hardware and connection protocols on platforms like GitHub, allowing the community to create new apps.

With new coding tools, even non-developers can now experiment with software, making it possible for users to keep their devices functional. The worst outcome would be breaking the software, but the hardware is already unusable.

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In the Santa Cruz mountains during winter, heavy rain causes water to flow down the hills, often getting blocked by fallen leaves, sticks, and branches. To prevent flooding and road erosion, the author uses a shovel to clear these blockages from the run-off creeks. They highlight that water will always find a way to flow, and if the usual paths are blocked, it can create new, potentially harmful routes.

The author has learned that often a single stick or branch causes most of the blockage. By removing this key object, the rest of the debris can be cleared, allowing water to flow freely again. This experience serves as a metaphor for addressing personal goals or New Year’s resolutions. Instead of getting overwhelmed by many habits, one should identify the core issue—the "stick"—that is blocking progress. By focusing on that central problem, it becomes easier to create effective and satisfying habits. The author encourages readers to seek out this core issue to facilitate positive change in their lives. Happy New Year!

Moxie Marlinspike, the creator of Signal, aims to revolutionize artificial intelligence (AI) in the same way he transformed messaging. He is focusing on developing a concept called "Private Inference," which likely aims to enhance privacy in AI interactions. For more details, you can check the articles linked above.

The text provides a link to a webpage discussing how advanced AI systems can extract or "exfiltrate" emails. It highlights concerns about privacy and security regarding AI's ability to access sensitive information. For more details, you can visit the link provided.

The text discusses the use of agent sandboxes in coding agents, focusing on their functionality, security risks, and how to manage permissions effectively.

1. Powerful Coding Agents: Modern coding agents can perform various tasks, primarily using a bash tool, which can execute commands that may pose security risks, like accessing sensitive data or deleting files.

2. Safety with Virtualization: The safest way to run these agents is in a virtualized environment, like a container, to limit their access and control over the system. However, many users bypass these precautions.

3. Command Whitelisting: Some solutions, like command whitelists, ask users for permission before executing commands. While this adds security, it can be cumbersome and impractical, especially if users step away from their computers.

4. Codex Permissions: The Codex CLI offers different access modes:

   • Read Only: Can read files but needs approval for any changes.
   • Auto (current): Can read, edit, and run commands but requires approval for external access.
   • Full Access: Unlimited access without approval.

5. Execution Pipeline: Codex uses a centralized execution system to manage command execution and apply security restrictions effectively. It utilizes macOS and Linux-specific APIs for sandboxing.

6. OS Sandboxing: Different operating systems have various methods for process isolation. Linux offers more flexibility with capabilities like Landlock, while macOS uses simpler, albeit limited, sandboxing methods.

7. Child Process Management: The system ensures that any sandboxed processes are managed securely and cleans up sensitive environment variables to prevent leaks.

8. Command Safety Assessment: Before executing commands, the system checks if they are safe. Users can trust commands for the session, reducing the need for constant approval.

9. Debugging Tools: Codex provides tools for testing and debugging the sandboxing features, helping users understand how the system works.

10. Conclusion: The implementation of sandboxing in Codex aims to enhance the security of coding agents, making it crucial as these agents become more common in programming tasks.

Overall, the approach balances usability and security, ensuring that agents can operate effectively while minimizing risks.

Influencers and content creators are increasingly applying for O-1 work visas in the U.S., which are for individuals with extraordinary abilities. The number of these visas granted rose by 50% from 2014 to 2024. Influencers like Julia Ain and Luca Mornet have successfully obtained O-1 visas by demonstrating their large followings and income from platforms like TikTok and Fanfix.

The O-1B visa, originally for Hollywood stars, now includes social media influencers and e-sport players, as the criteria for qualification have expanded to recognize their achievements. Applicants must provide evidence, such as follower counts and income, to prove their influence.

The trend has sparked varied reactions, with some viewing it as a reflection of society's changing values and others seeing it as a legitimate evolution in the economy. Influencers argue that their work is valid and part of the modern American dream, despite criticisms of their profession.

No summary available.

Summary of "Legacy of the Necromancer"

"Legacy of the Necromancer" was a planned role-playing game (RPG) by Westwood Studios, known for creating the game "Eye of the Beholder." Announced in 1992, it was designed for Commodore Amiga and PC platforms. The story revolved around a necromancer who had cursed the world and was imprisoned in a frozen temple. Players would take on the role of a hero tasked with stopping him before he could escape.

The game promised exciting gameplay with thirteen levels filled with traps, puzzles, and various enemies, including undead creatures and giant mushrooms. Early previews praised its graphics, smooth animation, and soundtrack. Despite the initial excitement and positive press at the Winter CES, the game was never released and remains a mystery. There are hopes that more information or even parts of the game might still be uncovered.

The internet shutdown in Iran has lasted for 120 hours (5 days). Although international phone calls are now functional, internet data is still blocked. I'm exploring technical solutions to create strong, long-lasting communication methods that can work around these shutdowns. I'm looking for the best options for peer-to-peer messaging, mesh networks, or satellite solutions that do not depend on local internet service providers.

The author has been developing and selling software since the early 2000s, starting with shareware and later creating an iOS budget app called MoneyControl in 2011. This app became their main focus and has remained on the App Store for 15 years, still actively used and developed.

Key lessons from their experience include:

1. Early Start is Helpful: Starting early provided advantages, but it wasn't the only factor for success.
2. Focus Over Diversification: Instead of creating many small apps, concentrating on one major product proved to be more sustainable.
3. Maintenance is Crucial: Long-term upkeep, like updating for new iOS versions and ensuring data safety, is more important than adding flashy features.
4. Discoverability Challenges: It's harder to reach users on the App Store now compared to the past, with increased competition and higher prices.
5. Developer vs. Marketer: The author prefers developing to marketing, which may have limited growth but aligns with their skills.
6. Sustainable Success: Building something that provides a living for over 20 years is viewed as a success, regardless of seeking a big exit.
7. Build for Yourself: Creating products that meet personal needs ensures authenticity in development.

Recently, the author released version 10 of the app, marking a significant update rather than a milestone. They are open to questions about maintaining apps, indie development, and keeping products relevant through various iOS updates.

The text consists of a list of tags and categories related to various topics such as AI, coding, games, and personal experiences. It includes sections for archives and details about the author's blog. Key areas of interest include programming languages like Python and Rust, as well as projects like the WeeBox. There is also an option to learn more about the author and contact them.

Summary: FOSS in Times of War, Scarcity, and Adversarial AI

This event at FOSDEM 2026 focuses on the challenges facing the Free and Open Source Software (FOSS) community amidst geopolitical conflicts, resource scarcity, and the rise of adversarial AI.

Key points include:

• Importance of FOSS: The FOSS community has achieved significant collaboration globally, creating software that empowers users and removes societal barriers.
• Geopolitical Conflicts: Recent wars and authoritarian regimes have disrupted stability, leading to the misuse of technology for disinformation and oppression.
• Risks of AI: While AI tools can enhance productivity, they also pose risks to software integrity, as they may introduce vulnerabilities and manipulate code.
• Trust and Security: The FOSS community has worked hard to build trust in its technology, but geopolitical tensions and AI's unpredictability threaten this trust.
• Future Considerations: The discussion advocates for a balanced approach, combining human expertise with AI, while ensuring rigorous checks and safeguards to maintain a healthy FOSS ecosystem.

This talk aims to explore these challenges and seek solutions for a resilient FOSS community.

No summary available.

The text discusses the advantages of using IRC (Internet Relay Chat) compared to real life. Here are the key points:

1. Anonymity: IRC allows users to remain anonymous, which can make people feel more comfortable expressing themselves.
2. Accessibility: You can connect with others from anywhere in the world without the need for physical presence.
3. Ease of Communication: IRC provides a platform for quick and direct communication in real-time.
4. Community Building: It fosters communities around shared interests, making it easier to find like-minded individuals.
5. Less Social Pressure: Interacting online can reduce the anxiety that some people experience in face-to-face situations.

In summary, IRC offers a unique way to connect with people that can be less stressful and more accessible than traditional in-person interactions.

In 2022, Iran experienced major protests that caught the attention of the Arab world. For years, Iran had established strong alliances that influenced the region. Many people in Arab countries saw the possibility of change in Iran as an opportunity to gain more independence from Iranian influence in their own nations.

Summary of Apple Creator Studio Press Release

On January 13, 2026, Apple announced the launch of Apple Creator Studio, a new subscription service that combines powerful creative apps including Final Cut Pro, Logic Pro, Pixelmator Pro, Motion, Compressor, and MainStage. This suite aims to make high-quality creative tools accessible to a wide range of users, from professionals to students.

Key Features:

• Video Editing: Final Cut Pro offers advanced editing features for Mac and iPad, including AI tools like Transcript Search and Visual Search for easier content creation.
• Music Creation: Logic Pro introduces new features like Synth Player and Chord ID, which help users compose and produce music more easily.
• Image Editing: Pixelmator Pro is now available on iPad, optimized for touch and Apple Pencil, allowing for intuitive image editing.
• Productivity Apps: Keynote, Pages, and Numbers receive new intelligent features and premium content to enhance user experience.

Pricing and Availability:

• Apple Creator Studio will be available on January 28 for $12.99 per month or $129 per year, with a one-month free trial. Discounts are offered for students and educators at $2.99 per month or $29.99 per year.
• Users can also buy individual apps outright from the Mac App Store.

Apple emphasizes that Creator Studio provides an affordable way for creators to access professional-grade tools and enhance their artistic skills, fostering creativity across different fields.

The team organized their documentation on a new site at https://docs.tangled.org using pandoc, which is suitable for small projects for several reasons:

1. No JavaScript Needed: The site consists only of text pages, ensuring it can be viewed without JavaScript.
2. Searchability: Instead of relying on built-in search engines, they prefer using browser search (Ctrl+F) or external search engines.
3. Low Complexity: The process of building, testing, and deploying the site is straightforward.
4. Easy Styling: Customizing the look of the documentation is simple.

Evaluation of Documentation Engines

The team considered several documentation engines:

• Mintlify: Focused on AI features, not suitable for their needs.
• Docusaurus: Generates nice sites but relies on a complex React setup.
• MkDocs: Works with JS off, but managing the table of contents can be tedious.
• MdBook: Similar to MkDocs, requires a separate file for the table of contents.

They decided to use pandoc for its customization capabilities, allowing them to generate a clean site with an autogenerated table of contents.

Using Pandoc

They combined their markdown files into one and adjusted the default template to create a sidebar for navigation. Generating the site involves a single pandoc command that converts the markdown into a structured HTML format.

Avoiding JavaScript

To create a collapsible table of contents for mobile devices, they explored various methods, including using HTML tags that do not require JavaScript. They implemented a popover method for mobile viewports.

Search Functionality

Currently, there is no built-in search on the site. Instead, the search bar redirects users to Google to search within the documentation. They also created a single-page format for easier searching.

Building and Deploying

The documentation site is built and deployed using Nix and Colmena. The setup allows for easy updates and deployment via a Nginx server.

Conclusion

Building the site in-house has facilitated styling consistency with their main site, although there are still some differences in markdown rendering. They are considering developing their own static site generator, named "TigerStyle".

No summary available.

exa-d is a tool we use to manage and store web data in S3. It simplifies handling large amounts of data by using clear design choices, such as typed dependencies and allowing for partial updates.

SnackBase is a tool created for the Healthcare and Life Sciences industry to simplify building compliant software infrastructure. The creator found existing tools like Supabase and Appwrite difficult to validate for FDA regulations and preferred a solution that worked well with Python.

Key Features of SnackBase:

• Compliance Core: It has secure audit logs using blockchain-style hashing to ensure data integrity.
• Native Python Hooks: Users can write business logic directly in Python without needing webhooks or JavaScript.
• Clean Architecture: There is a clear separation of different layers, keeping business logic out of API routes.

Technology Stack:

• Python 3.12 with FastAPI
• SQLAlchemy 2.0 (Async)
• React 19 for the Admin Interface

You can try a live demo here and view the code on GitHub. The demo resets every hour, and feedback on the implementation is welcome.

The text discusses issues with resizing windows in macOS Tahoe, particularly due to the large corner radius of the windows. Many users find the design comical and not user-friendly. The author, who has been using computers for nearly 40 years, struggles with resizing windows because the clickable area to do so is smaller and located near the window corner.

In macOS Tahoe, the area where you can click to resize a window is significantly affected by the rounded corners. Most of the clickable area is outside the window, making it hard for users to instinctively know where to click. As a result, users often try to grab the window corner where they expect it to work, but it does not respond. The most effective way to resize a window is to click outside the corner, which feels unnatural and leads to errors.

China has announced a record trade surplus of $1.19 trillion for 2025, the highest ever. This surplus occurred despite tariffs imposed by former President Donald Trump, which aimed at reducing trade with the US. Although trade with the US declined, China compensated by increasing exports to Southeast Asia, Africa, and Latin America.

China's deputy customs director described the trade figures as "extraordinary" considering the challenges in global trade. The growth in exports was driven by high demand for Chinese goods, particularly in green technology and artificial intelligence, while the domestic market remained weak due to a property crisis and rising debt. As a result, imports only increased slightly by 0.5%.

Analysts noted that while China's trade success has created jobs and boosted sales abroad, it may lead to increased scrutiny of its products in foreign markets, as other countries feel pressured by competition. Looking ahead, experts predict that China will continue to strengthen its global trade presence in 2026, but also face uncertainty due to ongoing trade tensions and concerns about low-cost Chinese imports flooding other markets.

Summary of the CRAY-1 Computer System

The CRAY-1 Computer System, developed by Cray Research, Inc., is a powerful digital computer designed for complex computations, particularly in scientific fields. Here are the key points:

• Performance: The CRAY-1 features both vector and scalar processing with a 12.5 nanosecond clock period and a memory cycle time of 50 nanoseconds. It can execute over 80 million floating-point operations per second, making it suitable for tasks that require extensive data analysis and simulation, like weather forecasting and nuclear research.

• Architecture: The system includes a central processing unit (CPU), multiple memory banks, and a mass storage subsystem. It uses a memory structure that can hold up to 1 million 72-bit words, providing fast random access.

• Input/Output: The CRAY-1 has 24 input/output channels, allowing high-speed data transfer. It employs a network for error checking to ensure data integrity.

• Software: The system requires various software types, including an operating system for job management and application programs typically written in FORTRAN. A FORTRAN compiler is integrated to optimize performance.

• Functional Units: It has twelve functional units that perform various calculations and data processing tasks, allowing multiple operations to occur simultaneously.

• Physical Design: The CRAY-1 is compact and visually appealing, housed in a cylindrical cabinet. It uses advanced cooling technology to manage heat dissipation.

• Maintenance: A maintenance control unit (MCU) oversees system operations and troubleshooting. Cray Research, Inc. provides ongoing maintenance support.

Overall, the CRAY-1 is designed for high-performance computing needs in scientific research, enabling complex problem-solving that was previously unfeasible.

No summary available.

No summary available.

David Turner runs a blog where he shares various posts. Some of the recent topics include:

• A humorous post titled "Is it a joke?"
• A review of "Blue Prince" from 1989
• Responses to comments on Hacker News about his six mistakes and one success
• Insights on building a game using the Real Engine
• Updates and design thoughts on a project called Middles, a daily word game
• A review of a puzzle from the game "Quern: Undying Thoughts"
• A lighthearted post titled "Turds"
• A development journal for his new indie game, "Deco Deck."

No summary available.

Reddit's API is no longer usable for archiving, and third-party apps have been removed. However, a 3.28TB dataset of Reddit history is available as a torrent, and a new tool allows users to browse it on their own devices without connecting to Reddit's servers.

Key Features:

• Users can download the Pushshift dataset and run the tool locally to create a browsable archive.
• The tool processes data from Reddit, Voat, and Ruqqus into static HTML files, which require no internet access or tracking.
• For searching, users can run an optional Docker setup with PostgreSQL locally.

Self-hosting options include:

• USB drive or local folder
• Home server
• Tor hidden service
• VPS with HTTPS
• GitHub Pages for smaller archives

This tool ensures users own their data, free from API limitations or changes in terms of service. It can handle millions of posts efficiently, and the backend remains stable regardless of dataset size.

The tool was built using Python, PostgreSQL, Jinja2 templates, and Docker, with AI assistance for development.

Live demo and more details are available at the provided links.

The author discusses their experiences with AI coding tools, expressing both enthusiasm and concern. They see two possible outcomes from using these tools:

1. Positive Outcome ("The Glittering Vision"): AI tools allow for faster learning, better experimentation, and collaboration. This leads to improved system-building and decision-making.

2. Negative Outcome ("The Cursed Vision"): There's a risk of becoming lazy and creating poorly understood code ("AI slop"), which can hinder personal growth and learning.

The author emphasizes the importance of experiential learning and the need to avoid shortcuts that bypass understanding. To do this, they propose several guidelines for effectively using AI tools:

• Learning in Loops: Use AI to iterate and deepen understanding of problems and solutions.
• Throw Away AI-Generated Code: Treat early AI-generated code as disposable, focusing instead on creating a solid final version.
• Structured Implementation: Be deliberate about how problems are broken down and organized.
• Clean Commits and PRs: Ensure that code is submitted in manageable parts for easier review.
• Human-Written Documentation: Write final documentation and comments by hand to reinforce understanding and improve quality.

In summary, while AI tools can enhance coding efficiency and learning, it's crucial to remain engaged and thoughtful in the process to ensure genuine understanding and growth.

The author thinks they have ADHD, feeling overwhelmed by constant thoughts and ideas. They can focus deeply on topics but often get distracted by smaller ideas, making it difficult to stay on track, especially while running a business, managing people, and balancing family life. They wonder if there is a connection between being a founder and having ADHD, and they're curious about others' experiences and coping strategies. The author has used various systems, like to-do lists and Asana, to stay organized and has even created their own tool to manage tasks and knowledge. They seek advice on how others cope with similar struggles and how to relax.

Summary of TimeCapsule LLM

Overview: TimeCapsule LLM is a language model designed to reflect the language, vocabulary, and worldview of specific historical periods, particularly focusing on London from 1800 to 1875. It aims to minimize modern bias by training exclusively on data from that era.

Model Versions:

• v0: Initial version with 1800s language, often incoherent responses due to limited data (~187MB).
• v0.5: Improved Victorian writing style, proper punctuation, but still had factual inaccuracies and some OCR noise.
• v1: First version to accurately connect historical events with figures from the dataset, producing more coherent outputs.
• v2mini-eval1: A version trained on a larger dataset (15GB) but had tokenization issues leading to confusing outputs.

Datasets: The training data includes 90GB of texts from 1800-1875, such as books, newspapers, and legal documents. A 15GB sample is available for public use.

Training Process:

1. Gather and clean historical texts.
2. Build a custom tokenizer to prepare data.
3. Train the model using guidelines from existing architectures like nanoGPT.

Key Concepts:

• Selective Temporal Training (STT): A method that ensures all training data is from a specific historical period to avoid modern biases.
• The goal is to create a model that reasons solely using knowledge from the targeted time frame.

Model Sizes:

• v0: 16M parameters
• v0.5: 123M parameters
• v1: 700M parameters
• v2mini-eval1: 300M parameters

This project emphasizes creating a historically accurate language model that truly represents the linguistic style of the past.

No summary available.

No summary available.

The text appears to be a user interface description for a consent management system. It includes buttons for actions like going back, filtering cookie lists, and managing consent preferences. Users can check or uncheck options related to consent and interests, with buttons to clear selections, apply changes, or cancel.

The author has created an iOS app called Microwave, which allows users to browse and post short videos, similar to TikTok. However, Microwave operates as a client on the Bluesky/AT Protocol instead of using a custom backend. The aim is to see if a TikTok-like experience can work using an open social protocol rather than a closed platform.

The author is seeking feedback on several points:

• The user experience (UX) on the AT Protocol.
• The trade-offs of using a client-only approach, including issues with ranking, discovery, and moderation.
• Any potential limitations of the protocol.
• Any architectural concerns.

There is a link to join the app's TestFlight for testing.

The article discusses a project to create a simple remote control for kids using floppy disks. Modern TVs often confuse children with complex remotes and apps, leaving them feeling powerless. The author wanted to design a remote that a 3-year-old could use independently, allowing them to make choices and interact with media in a tangible way.

Floppy disks were chosen for their nostalgic and physical qualities, and the project involved using an Arduino to read data from the disks. The remote uses a battery and a boost converter to power the floppy drive, and a microcontroller manages communication with a Chromecast. The design allows for one video to play at a time, avoiding auto-play features.

Challenges included ensuring the floppy disk could be detected when inserted and managing power consumption. The final product was successful, allowing the child to pause and play videos independently. The author emphasizes the importance of giving children agency in their media choices while engaging with technology in a meaningful way.

No summary available.

No summary available.

Here’s a simplified summary of the text:

The author is looking for resources to study three main topics related to quantum computing, ranging from basic to advanced levels:

1. Quantum Computation: They want to understand the different models of computation used in quantum computing and how they compare to classical computation models. They are curious about new models that have been developed.

2. Quantum Computers: The author seeks to learn about the physics, organization, and architecture of quantum computers. They want to know how the components of quantum computers correspond to those in classical computers.

3. Quantum Programming: They are interested in resources that explain how quantum programming works and how it can be simulated on classical computers. They also want practical examples to understand how quantum computing can solve problems that classical computers cannot, starting from simpler examples rather than complex ones like Shor's algorithm.

Additionally, the author hopes to connect with people who work in this field to gain insights into real-world applications and effective learning paths.

The article discusses text-based web browsers like ELinks, Lynx, and w3m, which are older browsers that display plain HTML without any CSS or JavaScript. The author expresses frustration about how these browsers do not effectively handle many new HTML features.

Key points include:

1. Text-Based Browsers vs. Modern HTML: While text-based browsers are useful for testing, they do not support many recent HTML features.

2. HTML Features: The article covers various HTML elements such as <details>, data lists, dialogs, popovers, and hidden content, explaining how text-based browsers fail to render them correctly:

   • Details: Always show all content, not just the summary.
   • Data Lists: Ignored entirely, leading to basic input fields.
   • Dialogs: Content is fully visible, losing intended modal functionality.
   • Popovers: Similar to dialogs, they display all content without the intended interactions.
   • Hidden Content: All hidden content remains visible, undermining the purpose of hiding elements.
   • Visually Hidden Content: Still requires CSS, as there’s no native HTML solution.

3. Conclusion: The author believes the gap between text-based browsers and modern HTML will continue to grow, potentially leading to the decline of these browsers.

Overall, the article highlights the limitations of text-based browsers in handling modern web features and stresses the need for better support.

The Trump administration has sent out termination letters for federal grants that support mental health and addiction services, effective immediately. This decision could lead to cuts of around $2 billion to nonprofit organizations that provide essential care for those struggling with addiction, homelessness, and mental illness. Experts warn that this sudden loss of funding will severely impact frontline services, potentially forcing many programs to shut down.

Ryan Hampton, an advocate for recovery, mentioned that his organization lost about $500,000 overnight due to these cancellations, which could jeopardize overdose prevention efforts and support for individuals in recovery. The letters indicated that the programs no longer align with the administration's priorities, and many grants—over 2,000 nationwide—are affected.

Additionally, this move follows previous Medicaid cuts that have already strained mental health and addiction care. Experts are concerned about the long-term effects on the safety net for people in crisis, emphasizing that the grants fund life-saving services. This funding cut comes at a critical time as the overdose crisis continues to be a public health emergency.

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Summary of Designing an IPv6-native P2P Transport: Lessons from Building I6P

• Challenges with NAT in P2P: Traditional peer-to-peer (P2P) systems often struggle with NAT (Network Address Translation) in consumer routers, which complicates direct connections. This leads to increased latency and connection issues.

• Benefits of IPv6: IPv6 provides globally unique addresses for every device, allowing for direct connections without the complexities of NAT. This simplifies the process, improves security, and enhances overall connection reliability.

• Key Design Features of I6P:

  • QUIC Transport: Uses modern features like congestion control and stream multiplexing for better performance.
  • Cryptography: Implements secure methods for data protection and identity verification.
  • Forward Secrecy: Employs techniques to protect past communications even if a key is compromised.
  • Efficient Data Transfer: Utilizes chunking and Merkle trees for quick content verification and support for unreliable connections.

• What I6P Is Not: I6P is not a complete file-sharing application; it serves as a foundational transport layer for developers to build their own P2P applications.

• Integration: Developers can use I6P as a secure transport layer while maintaining their own application protocols and identity management. They can choose to implement additional features like data verification as needed.

For more details, you can visit the GitHub page: I6P on GitHub.

No summary available.

Revup is a command-line tool designed for developers to streamline the process of creating and managing code reviews on GitHub. Here are the key features and details:

Features:

• Branch Management: Revup creates multiple independent branches in the background without altering your working directory and manages GitHub pull requests for these branches.
• Pull Request Management: It allows for manual or automated merging of pull requests and saves time by detecting when no changes have been made to avoid unnecessary uploads.
• Commit Enhancements: Users can add reviewers, labels, and draft statuses directly in commit messages. It also includes tools for easier navigation of pull requests.
• Amend and Restack: These features speed up the process of modifying commits compared to traditional rebasing.

Compatibility:

• Requires Python 3.8+ and Git 2.43+.
• Works on Linux, macOS, and Windows (with limited testing).

Installation:

• Install via pip: python3.8 -m pip install revup
• Alternatively, you can build from source if you want the latest updates.

Basic Usage:

1. Setup: Clone your own repo and configure GitHub credentials using a Personal Access Token.
2. Creating Pull Requests: Use specific tags in commit messages to create independent or relative pull requests.
3. Modifying Pull Requests: You can amend commits easily or pull in upstream changes with rebasing.

Additional Features:

• Forking Support: Push changes to a forked repo while creating pull requests in the original repo.
• Automated Review Management: Automatically add reviewers, assignees, and labels using commit message tags.
• Review Graph: Provides links to related pull requests for easier navigation.

Configuration:

Revup is highly configurable. Users can set preferences in a config file to customize behaviors and defaults.

Peer Projects:

Revup is inspired by other tools that support a similar patch-based workflow.

Contribution:

Users are encouraged to contribute and report issues, and there’s guidance available for getting started.

Disclaimer:

Revup is developed by Skydio but is not officially supported as a product by the company.

SkyPilot Summary

SkyPilot is a tool designed to run, manage, and scale AI workloads on various infrastructures. It provides AI teams with an easy-to-use interface to launch jobs on any infrastructure, while infrastructure teams benefit from a unified control system for managing AI computing resources.

Key Features:

• Multi-Cloud Support: Run jobs on different cloud providers and clusters seamlessly.
• Cost Efficiency: Automatically stops idle resources and uses cheaper spot instances to save costs.
• Job Management: Easily queue, run, and recover jobs, with a simple setup.
• Kubernetes Integration: Simplifies using Kubernetes for AI tasks, offering features like gang scheduling and multi-cluster support.

Latest Updates:

• Recent releases include new features like multi-cloud pools and support for large-scale AI models.
• SkyPilot supports various infrastructures including AWS, GCP, Azure, and more.

Getting Started:

• Users can install SkyPilot using pip and follow a structured approach to create and launch tasks with specified resources and commands.

SkyPilot aims to enhance the efficiency of AI workloads across different infrastructures while keeping costs low and usability high. For more details, users can refer to the documentation and resources provided by the SkyPilot team.

Ozempic and similar appetite-suppressing medications are significantly altering food purchasing habits among Americans. A study published on December 18, 2025, in the Journal of Marketing Research found that households using these drugs reduce their grocery spending by an average of 5.3% within six months. Higher-income households see an even greater decrease of over 8%. Spending at fast-food and limited-service restaurants also drops by about 8%.

The study analyzed transaction data from thousands of households, linking it with surveys about GLP-1 drug use. It showed that spending on ultra-processed and high-calorie foods, like snacks and sweets, decreased the most, while only a few categories, such as yogurt and fresh fruit, saw spending increases.

As more households began using GLP-1 medications—from about 11% in late 2023 to over 16% by mid-2024—researchers noted that many users eventually stopped taking the drugs, leading to a return to pre-adoption spending habits. This indicates that appetite suppression plays a significant role in changing food purchases.

The findings suggest that food manufacturers and restaurants may need to adapt their products and marketing strategies to align with these new consumer trends. Additionally, the results highlight the potential impact of medical treatments on dietary behaviors, which is important for public health discussions.

Ayder is a simple, single-binary tool for durable event logging, built in C. It uses curl as the client, eliminating the need for heavy libraries or additional services like JVM or ZooKeeper. A quick demo shows how it can recover from sudden shutdowns while keeping data intact.

In tests with a 3-node setup, Ayder can handle about 50,000 messages per second, with a response time for 99% of requests at around 3.46 milliseconds. Recovery from a crash takes about 40-50 seconds with 8 million data points.

The project has a repository available with a demo video, benchmarks, and a quick start guide. The creator is seeking early design partners for event ingestion or streaming projects.

The author expresses skepticism about the usefulness of large language models (LLMs) for coding. They find LLMs helpful for tasks like searching and documentation but had a disappointing experience with "prompt-driven development" or "vibe coding," which required excessive supervision and often produced incorrect results. While they acknowledge that LLMs enable inexperienced developers to create things, they feel pressured by advocates who claim this method is the future of programming.

The author feels misunderstood and argues that some proponents of agentic coding may be projecting their insecurities onto experienced developers who resist change. They are open to the possibility that they may not be using LLMs correctly and question whether LLM evangelists might struggle with their own programming skills. The piece concludes with the author’s willingness to reconsider their views on technology.