No summary available.

Here’s a summary of the text:

The text discusses several modern pixel fonts.

1. Analog Mono: Designed by Andrew Gleeson, this font improves upon the classic VCR OSD Mono by correcting its low baseline issue, which caused letters with descenders to appear misaligned.

2. Coral Pixels: Created by Kumiko Yoshida, this colorful font features 1990s-style fringing, which is now used intentionally for a nostalgic effect.

3. Two Slice: Designed by Joseph Fatula, this font is only 2 pixels tall and is noted for being somewhat readable.

4. Geist Pixel: Developed by Vercel, this font is described as a practical tool rather than just a novelty. It aims to maintain visual appeal while ensuring proper functionality and compatibility in various applications, addressing common issues found in pixel fonts like scaling and typography metrics.

Overall, these fonts combine retro aesthetics with modern design considerations to improve usability.

The article discusses the author's journey in creating a streamlined book production process without relying on Adobe or Microsoft tools. Here are the key points:

1. Focus on Story and Quality: Successful fiction depends on strong storytelling and good writing, but formatting is crucial for self-publishing.

2. Initial Tools: The author began using Microsoft Word for writing, since it's widely accepted by editors and can be easily imported into other formatting software.

3. Formatting Challenges: While Word can format books, it lacks advanced features found in professional software like Adobe InDesign, which is preferred for print quality.

4. Exploring Alternatives: After struggling with multiple formats for ebooks and print, the author discovered Standard Ebooks, which inspired them to adopt a stricter, more quality-focused formatting process.

5. New Approach: By converting Word documents to EPUB using Calibre and following Standard Ebooks' guidelines, the author achieved high-quality ebook formats. They also learned to use LibreOffice for editing, which allowed for better semantic formatting.

6. Switching to LaTeX: For print formatting, the author transitioned to LaTeX for its superior typesetting capabilities. They created a script to convert their LibreOffice files to LaTeX, achieving professional results.

7. Automated and Version-Controlled Process: The new workflow, involving ODT files as the main source, allows for easier editing and version control through Git, making the formatting process more efficient.

8. Conclusion: While the author acknowledges that their method may not suit every independent writer, they emphasize that the ultimate goal is to deliver a good story to readers alongside enjoyable formatting.

This summary captures the essence of the author's experience in building a more effective and satisfying book production pipeline.

The text discusses the challenges and failures associated with a class of cancer drugs targeting TIGIT, a protein involved in immune regulation. Initially, there was great excitement about these drugs following the success of Keytruda, a leading cancer treatment. Companies invested heavily in TIGIT drugs, believing they could enhance cancer treatment outcomes by blocking immune system brakes.

Roche was the first to develop an anti-TIGIT drug, tiragolumab, which showed promise in early trials. However, subsequent Phase 3 trials revealed disappointing results, including failures in survival rates and even worse outcomes for some patients. Other companies, like Merck, also pursued TIGIT drugs but faced similar failures, leading to the discontinuation of their programs.

Despite multiple attempts and significant investments totaling over $3 billion, all major trials targeting TIGIT ultimately failed to demonstrate effectiveness. The reasons for this failure remain unclear, but it highlights the complexities of drug development and the unpredictability of biological targets. The text concludes that while the initial theories around TIGIT were scientifically sound, the actual drugs did not deliver the expected benefits, leading to widespread disillusionment in the pharmaceutical industry regarding TIGIT.

Summary of Rosalind: A Compact Genomics Engine

Rosalind is a lightweight genomics engine that allows users to perform whole-genome analyses using as little as 100 MB of RAM. Designed in Rust, it is suitable for use on standard laptops, making it accessible for hospitals, clinics, and educational settings, where high-memory servers may not be available.

Key Features:

• Low Memory Usage: Rosalind operates with O(√t) memory usage, allowing whole-genome processing without requiring extensive resources.
• Deterministic Results: Every run produces the same output, ensuring reproducibility and reliability.
• Streaming Outputs: It processes genomic data in real-time, avoiding large temporary files and minimizing resource demands.
• Custom Extensions: Users can enhance functionality with Rust plugins or Python bindings, making it adaptable for various genomic workflows.

Benefits:

• Clinical Applications: Enables genome alignment and variant calling on standard hospital computers, keeping sensitive data on-site.
• Field Use: Useful for outbreak monitoring in remote locations with limited connectivity.
• Educational Use: Students can engage with real genomic data on personal devices, enhancing hands-on learning.

Technical Guarantees:

• Memory use is strictly controlled, ensuring stability and efficiency.
• Outputs remain consistent regardless of how data is partitioned or processed.
• The system allows for the recomputation of results to maintain accuracy without needing excessive memory.

Installation and Usage: Users can easily install Rosalind, build it from source, and integrate it into their workflows through command-line tools or Python APIs. It provides examples and scripts for quick setup and testing.

Overall, Rosalind is aimed at researchers, clinicians, educators, and developers who require efficient genome-scale analysis without needing significant infrastructure.

Faiz and Saheed created Minicor to help AI companies build desktop Robotic Process Automations (RPAs) for systems without APIs. They realized that creating desktop RPAs is challenging due to scripting difficulties, orchestration issues, and debugging problems, leading to high failure rates. To address these challenges, they developed a system called MCP that uses AI to automate workflows on virtual machines running desktop software. These workflows are efficient, can be triggered via APIs, and include features like video replays and logs for tracking. The MCP also helps debug RPAs, manage version control, and parallelize tasks. Additionally, it supports two-factor authentication and can integrate notifications and human oversight. They welcome feedback and stories about RPA challenges.

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Summary of The Real Cost of Owning a Home:

Owning a home comes with many hidden costs that can make it less appealing compared to renting. Here’s a breakdown of these costs:

1. Mortgage Fees: Buying a home involves various fees totaling about 3% of the home's value. For example, when one person bought their home, they paid over $12,000 in loan-related costs.

2. Monthly Mortgage Payments: Monthly payments consist of principal and interest. Initially, most of the payment goes towards interest, with only a small portion reducing the loan balance. For example, a monthly payment of about $2,330 included over $1,800 in expenses.

3. Insurance and Taxes: Homeowners must pay for property insurance and taxes, which can increase over time. Current costs can include around $111 for insurance and $515 for taxes monthly.

4. Maintenance and Repairs: It's recommended to save at least 1% of the home's value yearly for upkeep. Major repairs can be costly, with examples like replacing roofs or windows.

5. Home Improvements: Enhancing your home can also lead to expenses, such as remodeling or landscaping.

6. Utilities: Homes typically have higher utility costs than apartments, especially for heating and cooling.

7. Selling Costs: When selling a home, expect to pay about 10% of its value in closing costs, which can be substantial.

8. Legal Fees: Disputes with neighbors may require legal assistance, adding more costs.

9. Home Value Appreciation: While home values generally rise over time (around 3.8% annually), this isn't guaranteed. It’s important to live in your home long enough for appreciation to outweigh the costs.

Conclusion: Buying a home can be beneficial if you plan to stay long-term and choose a good location. However, it's essential to understand all the financial implications and maintenance responsibilities involved.

Summary of Sage Care

Sage Care is a home care agency focused on improving operations by reducing paperwork and enhancing relationships. Their platform uses an AI-powered CRM and virtual assistant to streamline tasks like call transcriptions and care plan creation, saving agencies over 100 minutes during client intakes. They integrate with existing tools and are rapidly growing.

Role Overview

Sage is seeking early engineering hires to help develop their platform. These roles involve:

• Full-stack Development: Building and maintaining their Django and iOS applications, and creating user-friendly interfaces.
• Product Development: Working with the founders to define product features and ensuring high code quality.
• Technical Strategy: Evaluating new technologies and establishing best practices as the company grows.

Qualifications

Ideal candidates should have:

• 4+ years of full-stack web development experience, especially with Python or iOS.
• Ability to work independently and develop tailored applications.

Preferred Experience

• Familiarity with Datastar and Tailwind CSS.
• Background in HIPAA environments and early-stage startups.

Compensation and Benefits

The position offers competitive pay, equity, and the chance to influence the company's technical direction, with location options in New York or Miami.

Summary:

DynIP is a dynamic DNS service that offers quick updates in under a minute, unlike most providers that take up to 30 minutes. It supports various routers without requiring proprietary clients. Key features include:

• Fast Updates: Changes to your DNS record are reflected globally in about 60 seconds.
• Standards Compliant: Uses RFC 2136 TSIG for secure updates, compatible with many router brands.
• IPv6 Support: Handles both IPv4 and IPv6, allowing for dual-stack or IPv6-only configurations.
• Free Tier Available: Offers a generous free plan for users.

Users can create zones, manage their DNS settings, and implement security measures like DNSSEC and two-factor authentication. There are options for API automation and bringing your own domain.

The text discusses the challenges of achieving self-sovereign Public Key Infrastructure (PKI) for personal identities, particularly in messaging apps and online platforms. Key points include:

1. End-to-End Encryption Limitations: Although messaging apps like Signal, iMessage, and WhatsApp use end-to-end encryption, many users do not verify the authenticity of the keys exchanged, which undermines the security intended by encryption.

2. Public Key Infrastructure (PKI) Issues: Current PKI systems are designed for machines, not individuals. They rely on trusted Certificate Authorities (CAs) that can be compromised, leading to vulnerabilities where users must trust third parties.

3. Need for a New Model: The article suggests a need for a naming system that binds a public name directly to a key without relying on any centralized authority. This would allow users to have a stable identity across various platforms without fear of being suspended or compromised.

4. Proposed Solution: The author introduces "Spaces," a system that uses a decentralized approach to create a public key binding. It employs a binary Merkle trie and ties its records to the Bitcoin blockchain, eliminating reliance on traditional CAs. Users can verify identities through a single hash instead of individual key fingerprints.

5. Future Developments: The aim is to achieve a zero-knowledge certificate that simplifies identity verification without the need for constant synchronization or trust in a signing key.

6. Challenges Ahead: The article also outlines potential issues like key rotation, loss, and the need for user adoption of new systems. It emphasizes that while the solution reduces trust in centralized authorities, some level of trust remains necessary.

Overall, the text calls for a shift towards a decentralized, self-sovereign PKI model that empowers users to control their identities without relying on third-party validation.

The request was unsuccessful due to an issue identified by Incapsula, which has a specific incident ID.

Summary of Opaque Types in Python

The article discusses a technique for creating "opaque types" in Python, which helps in managing complex data structures with minimal public interfaces. This is particularly useful when developing libraries that handle options or configurations, like a shipping library.

Key Points:

1. Opaque Data Structure: An opaque type allows you to hide implementation details while providing a public interface. This minimizes complexity and keeps the API stable.

2. Example Scenario: The article uses a shipping library example where you might need to define options like shipping speed (fast, normal, slow). Instead of exposing a detailed class, you can use an opaque type.

3. Using NewType: Python's typing.NewType helps create a public type (e.g., ShippingOptions) that wraps a private class with hidden attributes. This way, users can only access the public constructors.

4. Public Constructors: Functions like shipFast, shipNormal, and shipSlow allow users to create ShippingOptions without exposing the underlying private class details.

5. Future Flexibility: This design pattern preserves the ability to evolve the API over time without breaking existing code, as the internal structure can change while keeping the public interface intact.

Overall, this approach helps manage complex configurations while maintaining a clean and stable library interface.

The text discusses a new method for improving transformer-based large language models, especially for long tasks. These models often struggle with long context due to their attention mechanism. To address this issue, researchers propose a "sleep-like" process where the model saves recent information as "fast weights" while clearing its memory. During this "sleep" phase, the model processes the saved information multiple times to enhance its understanding. This approach allows the model to perform better during regular prediction times without increasing wait times. The method was tested on various tasks, including complex reasoning challenges, where traditional models struggled. Results showed that increasing the sleep duration improved performance, especially for tasks needing more in-depth reasoning.

I am unable to access external links, including the one you provided. However, if you can share the main points or content of the text, I can help you summarize it.

The Dutch government has blocked a U.S. company's attempt to acquire a crucial digital identification supplier, Solvinity, which operates the DigiD app used by citizens for online authentication in various transactions. The decision followed concerns that foreign control could pose risks to public interests. The investment screening authority advised against the acquisition, leading the government to follow this recommendation. Kyndryl, the U.S. company seeking the acquisition, expressed disappointment, stating the deal would have benefitted Dutch citizens. This decision aligns with broader European efforts to reduce dependence on U.S. technology, with upcoming proposals anticipated from the European Commission.

Summary

The goal of the talk is to explore Rust, a safe, low-level programming language that competes with C++. It aims to examine how safety affects performance and whether idiomatic Rust code offers similar performance to C++.

Key points include:

• Identifying Rust's performance weaknesses and strengths.
• Evaluating the practical impact of these performance issues.
• Suggesting best practices to improve performance.

The presentation includes slides in English and Russian, reading materials, and benchmarks from Rust projects. It was given at C++Russia 2026 and shared on LinkedIn, Reddit, and X.

Summary: Extending MySQL with VillageSQL

The author shares their excitement about VillageSQL, a MySQL fork that allows users to create extensions, similar to their previous experience with Neo4j. VillageSQL supports features like UUIDs, cryptographic functions, and geometrical data types, allowing developers to add custom functionalities easily.

The author specifically focuses on creating an extension for the Roaring Bitmap data structure. They highlight that VillageSQL provides a template repository to help developers get started. While implementing the extension, they encountered some challenges, such as syntax errors and issues with data size handling, which they successfully resolved.

The process involves defining custom types, adding functions for operations like union and intersection, and testing the extension without needing to restart the server, which is an advantage over Neo4j. The author appreciates VillageSQL for offering a flexible development environment and expresses anticipation for future features, including cloud-hosted extensions.

In conclusion, VillageSQL offers a powerful way for developers to extend MySQL with custom functionalities, reminiscent of the freedom experienced with Neo4j.

Summary:

Jacob, who runs a software consulting group, discusses how consistency in programming languages greatly affects the performance of large language models (LLMs). He notes that languages with strong conventions produce better results, while fragmented ecosystems lead to poorer output.

Jacob highlights that running code can be unpredictable, likening it to a gamble. He argues for using programming languages with consistent and reinforced model weights, which typically handle basic tasks well.

He emphasizes that languages like Go excel because they offer simplicity, a strong standard library, and a uniform toolchain. Go’s design promotes reliability for coding agents due to its straightforward concurrency model and effective memory management. Jacob concludes that Go is well-suited for creating non-visual software and encourages others to consider it for their projects. He offers his expertise as a technical lead to help teams achieve consistent results.

No summary available.

The article discusses the frustrations users face when interacting with coding agents, which are AI tools designed to assist with programming. The author, Paolo, shares his experiences of feeling frustrated when these agents make repeated mistakes, even though he knows they are just algorithms.

He explains that coding agents mimic human-like interaction, which can trigger emotional responses similar to dealing with a real colleague. When these agents make errors, it becomes frustrating because they don't learn or adapt like a person would. Paolo suggests that he might prefer a more robotic, clinical approach to these agents, eliminating the human pretense that leads to disappointment.

Ultimately, he acknowledges that he needs to adjust his mindset to avoid being misled by the conversational style of these tools, even though it feels odd to have to guard against the technology he uses at work.

No summary available.

Summary of Shamir's Secret Sharing

Shamir's Secret Sharing is a method developed by Adi Shamir in 1979 to securely divide a secret into parts. The main aim is to ensure that a certain number of parts (or shares) are needed to recover the secret, while fewer parts provide no information about it.

Here are the key points:

1. Basic Concept: A secret can be represented mathematically (e.g., as a number). It is "hidden" by creating a random line (or curve) that intersects the secret's value on the vertical axis.

2. Sharing Process: Each person involved receives one point from this line or curve. With just one point, a person cannot determine the secret because many lines can pass through a single point.

3. Recovery Requirement: To recover the secret, a specific number of points (shares) are needed:

   • 2 points for a line (2-of-n scheme)
   • 3 points for a parabola (3-of-n scheme)
   • 4 points for a cubic curve, and so on.

4. No Information from Few Shares: If someone has fewer shares than required, they gain no insight into the secret, as all possibilities remain valid.

5. Practical Application: Shamir's method is used in systems like Ente's Legacy Kit, where it helps ensure recovery without creating a permanent recovery key.

In summary, Shamir's Secret Sharing allows a secret to be safely divided and reconstructed while maintaining confidentiality until the necessary number of shares is obtained.

Summary of "DYNOMIGHT" Blog Post on Colorectal Cancer

The blog discusses the rising rates of colorectal cancer (CRC) among young people, exploring various potential causes such as unhealthy lifestyles, increased consumption of ultra-processed foods, environmental factors, and changes in maternal health. However, experts disagree on the main reasons for this rise.

Key points include:

1. General Trend: While CRC is becoming more common in younger people, this is part of a broader trend of increasing cancer rates across various types in younger generations.

2. Data Analysis: An analysis of CRC rates shows that younger generations are at a higher risk compared to older ones, and this pattern appears to be continuing.

3. Other Cancers Rising: Besides CRC, many other cancers are also increasing in younger generations, but CRC stands out due to its commonality, severity, and the effectiveness of early screening.

4. Importance of Screening: The blog emphasizes the importance of CRC screening, as early detection significantly improves treatability.

In conclusion, while CRC is indeed rising among young people, it is part of a larger pattern of increasing cancer rates in younger generations. The blog advocates for regular screening to catch CRC early.

Ferrari has introduced its first fully electric car, named the Luce. This marks a significant step for the brand as it moves towards electric vehicles, showcasing new technology and design. The Luce combines Ferrari's performance heritage with modern electric capabilities, aiming to offer an exciting driving experience while being environmentally friendly.

The text discusses a fictional programming language that uses colors to define functions, with the main premise being an allegory for the challenges of asynchronous programming in languages like JavaScript. Here are the key points simplified:

1. Fictional Language Concept: The author creates a made-up programming language where every function is either "red" or "blue." The color affects how functions are called and how they interact with each other.

2. Calling Functions: Different colors require different calling conventions; calling a red function incorrectly leads to errors. Also, red functions can only be called from within other red functions.

3. Increased Complexity: Using red functions complicates programming because they are more difficult to call and can force developers to change their function's color, impacting the entire codebase.

4. Allegory for Asynchronous Functions: The "red functions" represent asynchronous functions, which do not return values directly and instead use callbacks. This leads to issues like "callback hell," where managing multiple callbacks becomes unwieldy.

5. Current Solutions: The author mentions that languages like C# have improved the situation with features like async-await, making asynchronous programming easier but still not eliminating the distinction between synchronous and asynchronous functions.

6. The Ideal Language: The text concludes by noting that some languages (like Go, Lua, and Ruby) avoid this problem by using threads, allowing asynchronous operations to be handled more smoothly without the complications seen in other languages.

In summary, the text uses the metaphor of color-coded functions to illustrate the frustrations and complexities of asynchronous programming.

Daniel Schultz, founder of aesc silicon, is developing a new semiconductor business model based on open source principles. This model allows companies to offer core intellectual property (IP) for free, similar to the Linux model, while generating revenue through support and specialized services.

The appeal of open source silicon lies in its potential for verifiable security, as designs can be audited to ensure they are free from hidden backdoors. Smaller companies seeking custom chips are a growing market, and open source IP can reduce costs and time associated with traditional IP licensing.

Schultz is also working on a tool called IP Forge, which functions like a package manager for open-source IP blocks, making it easier for designers to source and integrate components into their projects.

The low cost of experimentation in the open-source space allows engineers to take more risks without significant financial investment. Schultz believes that while immediate profits may not be the focus, the long-term prospects for open source in the semiconductor industry are promising. He has chosen to bootstrap his company rather than pursue venture capital, emphasizing a vision for the future of the ecosystem.

The article by Nolan Lawson discusses the common misconception that using AI for coding leads to low-quality, rapid code production. Instead, he argues that AI can be effectively used to write high-quality code at a slower pace. He emphasizes that AI models (like LLMs) are good at finding bugs in code, and the challenge lies in prioritizing and validating these bugs.

Lawson shares a technique where he uses multiple AI models to review code pull requests (PRs) for bugs. This method involves running different AI agents to identify and rank bugs based on their severity, followed by a thorough review of their findings. His approach focuses on addressing critical and high-severity bugs first, even if it means slowing down the process.

He notes that while this method may not increase productivity in terms of speed, it enhances the overall quality of the codebase and deepens understanding of the code. Lawson encourages developers to adopt this careful and methodical coding style, suggesting it can lead to more satisfying and effective programming outcomes.

GitHub offers a developer newsletter that provides tips, technical guides, and best practices. It is sent twice a month directly to your inbox. You can subscribe to receive it.

Japan's Aerospace Exploration Agency (JAXA) has made significant progress in developing a hypersonic engine that could enable flights from Tokyo to Los Angeles in about two hours. A team from JAXA and several universities successfully tested a ramjet engine, which works by compressing incoming air to generate thrust without moving parts.

The ground test took place at JAXA's Kakuda Space Center and focused on ensuring the aircraft's heat protection and performance under the extreme conditions of Mach-5 speeds, where temperatures can exceed 1,000 degrees Celsius.

While this test is just a preliminary step and not an actual flight, JAXA plans to conduct a real flight using a sounding rocket in the future. If successful, they aim to offer commercial hypersonic flights by the 2040s, potentially reducing travel times significantly for long-distance flights.

No summary available.

Summary:

This post advises against using aria-label on generic HTML elements like <div> and <span>. According to accessibility guidelines, these elements have a default role of "generic" and cannot be named. Testing shows that different screen readers handle labeled generic elements inconsistently, often ignoring the label or announcing it differently.

For example, a labeled <div> may be announced as "News, group" on some platforms, while on others, it may not be announced at all. Empty labeled elements may also produce no announcement in some cases.

However, there are exceptions. For instance, using aria-label on a <section> changes its role to "region," making it acceptable to label. Similarly, using popover on a <div> changes its role, allowing for labeling.

Overall, it's best to avoid labeling generic elements to ensure better accessibility.

The text discusses the decline of Stack Overflow's forum in light of the rise of AI technologies. It highlights that while Stack Overflow's forum has seen a decrease in activity, the company continues to thrive through AI integration. Key points include:

1. Decline Reasons:

   • Many fundamental questions have already been answered.
   • Few new programming languages have emerged recently.
   • Discussions have shifted to platforms like GitHub and GitLab.
   • Toxic behavior on Stack Overflow has contributed to its decline.

2. Data Analysis:

   • A graph shows the number of questions asked on Stack Overflow monthly, peaking during the COVID-19 pandemic and declining after the launch of ChatGPT.
   • The text mentions various SQL queries used to analyze trends in questions, answers, and comments over time, highlighting the importance of these metrics in assessing user interaction and platform health.

3. Future Concerns:

   • The decline in questions and answers, as well as the decreasing ratio of answers to questions, raises concerns about the platform's quality and future viability.

4. Stack Exchange Data Explorer (SEDE):

   • The text discusses how to use SEDE for data analysis, including creating queries to visualize trends in Stack Overflow's usage.

Overall, the article emphasizes the impact of AI on community-driven platforms like Stack Overflow and reflects on the importance of user engagement metrics.

Summary of Earthion Game Announcement

• Game Title: Earthion

• Release Information:

  • Digital version available on PC and modern consoles now.
  • 16-bit cartridge version set to release in 2026.
  • Pre-orders for physical editions (Standard and Collector's) are available until August 10, 2025.

• Gameplay Overview:

  • Players assume the role of Azusa Takanashi, an environmental researcher piloting the YK-IIA space fighter.
  • The story revolves around humanity's fight to reclaim Earth from hostile invaders after resources are depleted and most people have fled to Mars.
  • The game features eight stages filled with exciting visuals, fast-paced gameplay, and a soundtrack by composer Yuzo Koshiro.

• Platforms:

  • Digital: PC (Steam), Nintendo Switch, PlayStation 4/5, Xbox Series X.
  • Physical: Coming for the same consoles in 2026.

• Special Merchandise:

  • Earthion-themed Bluetooth gamepad controller by 8BitDo.
  • Soundtrack available on vinyl and cassette, with exclusive color variants for pre-order.

This announcement highlights the blend of nostalgia from 16-bit gaming with modern gameplay elements and emphasizes the importance of the soundtrack.

Uber's president, Andrew Macdonald, has expressed concerns about the company's spending on artificial intelligence (AI). Despite investing heavily in AI—$3.4 billion in 2025—he noted that Uber isn't seeing a clear link between this spending and improved features for users. Macdonald stated that it’s difficult to connect the dots between increased AI usage and tangible benefits for customers. He indicated that while some metrics are improving, the impact on useful features isn't evident yet. Additionally, Uber is managing its costs by hiring fewer employees as it increases its AI investments, making it harder to justify the expenses if they don't lead to visible improvements.

The text discusses the impact of subscriptions on our lives, comparing them to roommates rather than simple purchases like snacks. Subscriptions influence our behavior and preferences in ways we may not fully recognize. With the rise of chatbots and digital subscriptions, it’s crucial to be aware of how these choices shape who we become.

Purchasing physical items is straightforward because you can weigh their pros and cons. In contrast, subscriptions provide access to services over time, which can change your future behavior and preferences significantly. Even worthwhile subscriptions often have complex effects, such as encouraging you to spend more than you intended.

The article emphasizes that as consumers, we are at a disadvantage against companies that design subscriptions to maximize their profit, often at the expense of our own goals. It suggests that we should choose subscriptions based on how well they align with our personal values and objectives.

Ultimately, the text warns that if we don’t actively decide who we want to be, corporations will influence that decision for us, especially with manipulative products like AI chatbots. It's essential to remain vigilant and consider the long-term effects of our subscription choices.

The text provides an update on the rollout of new mitigation measures for Exit IP VPN servers, dated May 25, 2026. It lists the servers where these new measures have been applied:

• Australia: Melbourne (au-mel-wg-402), Sydney (au-syd-wg-001)
• Canada: Montreal (ca-mtr-wg-302)
• Germany: Frankfurt (de-fra-wg-103)
• Finland: Helsinki (fi-hel-wg-201)
• France: Paris (fr-par-wg-101)
• Ireland: Dublin (ie-dub-wg-101)
• Norway: Oslo (no-osl-wg-101)
• Sweden: Stockholm (se-sto-wg-208)
• United States: Dallas (us-dal-wg-701), Los Angeles (us-lax-wg-002), New York City (us-nyc-wg-601), Salt Lake City (us-slc-wg-303)

Summary:

Modern Blu-ray players can now rip games from older consoles like the GameCube, Wii, original Xbox, and Xbox 360 to a PC using special firmware called OmniDrive. This allows gamers to back up their physical game discs easily. The firmware works with specific Blu-ray drives that use the MediaTek MT1959 chipset, and users must check if their player is compatible before installation.

The process involves installing the firmware and using a tool called Media Preservation Frontend to create ISO files from the games. This new method is much simpler than previous ways of extracting game data, which often required modifying the console. Overall, this development is expected to enhance game preservation and emulation for retro gaming enthusiasts.

No summary available.

The Pope recently released an encyclical called "Magnifica Humanitas," the first focused on artificial intelligence (AI). This encyclical signals that AI represents a significant change in society, similar to the effects of the Industrial Revolution.

Big Tech, which previously dismissed traditional institutions as outdated, is now seeking guidance from them, including the Vatican, on how to govern AI's impact. Chris Olah, co-founder of AI company Anthropic, emphasized the need for oversight from governments and religious leaders, highlighting the potential job displacement and ethical concerns surrounding AI development.

The Pope's message points out that the expected benefits of AI may not materialize automatically and raises questions about who will benefit from AI advancements and how to manage the disruptions it causes. While some critics focus on debates about technology and consciousness, the Pope is addressing deeper issues of labor, power, and human dignity that are often overlooked in Washington, which tends to prioritize corporate interests.

Coalton is a powerful programming language that improves on Common Lisp by incorporating features from Haskell, Scheme, and OCaml. It is efficient and uses static typing. There is a new manual available for Coalton. Additionally, Robert Smith will give a talk about it at the ELS 2025 conference in May 2025.

The blog discusses serious security vulnerabilities found in the Central Board of Secondary Education (CBSE) On-Screen Marking (OSM) portal, which is used for evaluating student exams in India. Here are the key points:

1. Vulnerabilities Discovered: The author, a cybersecurity hobbyist and recent high school graduate, found multiple critical vulnerabilities that could allow anyone to take over examiner accounts, potentially compromising the grading process for millions of students.

2. Key Issues Identified:

   • Hardcoded Master Password: A master password was found in the public JavaScript code, allowing bypass of normal login processes.
   • Insecure OTP Validation: The OTP (One-Time Password) validation was done client-side, meaning it could be easily manipulated.
   • No Route Protection: The app had no security measures on internal routes, allowing anyone to access sensitive pages without authentication.
   • Password Change Flaw: Users could change passwords without needing to know the old one, leading to account takeovers.
   • Insecure Direct Object Reference (IDOR): Attackers could impersonate any examiner by changing values stored in the browser.

3. Impact of Vulnerabilities: These flaws could allow unauthorized users to log into examiner accounts, alter grades, and disrupt the evaluation process.

4. Disclosure Process: The author reported these issues to the Indian Computer Emergency Response Team (CERT-In) but received little feedback or action, leading to frustration.

5. Lessons Learned: The author emphasizes the importance of secure coding practices, such as not storing sensitive information in client-side code and ensuring server-side verification for all security measures.

The vulnerabilities highlight serious risks in the management of exam evaluations, underscoring the need for better security practices in educational software.

California is considering an amendment to its age-verification law that would exempt most open-source operating systems like Linux from having to collect user age data. This comes after criticism of the original law, which required operating systems to verify user ages during account setup.

The proposed amendment, Assembly Bill 1856, would clarify that only commercial operating systems, not those distributed under open-source licenses, would need to comply with age verification. This change aims to address concerns from developers and privacy advocates who argued that the original law was overly broad and could infringe on privacy.

While mainstream Linux distributions could be exempt, platforms like SteamOS might still be affected due to their commercial ties. The amendment is currently being reviewed in the California legislature and seeks to redefine what qualifies as an “operating system provider.”

Norway's National Library is creating a language model (LLM) specifically for the Norwegian language, utilizing 2 petabytes (PB) of Huawei flash storage. The project is necessary because there are no commercial providers for a local Norwegian LLM. Marius Husnes, the library's IT head, emphasized the importance of having a language model that understands local history and culture, which English-speaking models lack.

The library has the largest collection of Norwegian digital content, including books and newspapers, and it has been digitizing since 2005, accumulating 20 PB of unique data. An agreement with Norwegian newspapers allows the library to use copyrighted material for LLM training.

Husnes noted that the main challenge is not computing power but ensuring data quality and efficient processing. The data undergoes several stages of preparation before being sent to Norway's supercomputer for training. A key issue has been integrating two different storage systems: one for preservation, optimized for durability, and another for high-speed access needed for AI training.

As the training continues, the team faces challenges in evaluating the model and determining governance for access and usage. Husnes believes that small countries like Norway can provide valuable insights for others seeking to develop local language AIs. He highlights the need for responsible management of AI to reflect local languages and cultures.

Akseli Lahtinen, a Finnish KDE developer, criticizes the trend of including promotional messages in git commits, such as "Assisted by blabot" or "co-authored-by: slopgpt." He believes these messages act as free advertisements for tools that might require subscriptions. Lahtinen argues that commit messages should focus on technical details instead of promotions and recommends mentioning AI tools in merge requests instead. He also shares his views on AI programming tools, indicating that he likely does not use them.

The article discusses the development of the Multimodal Optical Scope with Adaptive Imaging Correction (MOSAIC), an advanced microscope designed for comprehensive in vivo imaging of biological systems, from molecules to whole organisms. Published on May 22, 2026, it highlights the challenges of traditional microscopy, which often lacks versatility and suffers from performance issues due to sample-induced optical aberrations.

Key features of MOSAIC include:

• Integration of multiple imaging techniques: MOSAIC can switch between light-sheet, label-free, super-resolution, and multiphoton imaging, allowing researchers to study dynamic processes in living cells and organisms.
• Adaptive optics: This technology corrects optical distortions caused by biological samples, ensuring high-quality imaging even in complex biological environments.
• Noninvasive capability: MOSAIC enables imaging of live multicellular organisms, such as mice and zebrafish, without harming the samples.
• Large field of view and rapid imaging: It can capture extensive areas and dynamic cellular events over long periods, facilitating the study of processes like cell division and tissue regeneration.

Overall, MOSAIC represents a significant advancement in microscopy, providing researchers with a powerful tool for studying biological phenomena across different scales and conditions.

Summary

The text outlines a script for a social sharing bar and discusses the Church's Social Doctrine, particularly in the context of contemporary issues like artificial intelligence (AI) and technology.

Key Points:

1. Social Sharing Bar:

   • A JavaScript object SocialBar is created to manage a share bar for social media (Facebook, Twitter, email).
   • It includes functions for opening and closing the bar, rendering social media buttons, and handling animations.

2. Text Size Adjustment:

   • A feature is provided for users to change text size on a webpage using a dropdown menu.
   • Users can select small, medium, or large text sizes, which affects the font size of the content and subtitles.

3. Papal Encyclical:

   • The text references an encyclical by Pope Leo XIV focused on safeguarding human dignity in an age influenced by AI.
   • It discusses the Church's role in addressing social issues, emphasizing the importance of building a society that respects human dignity and promotes the common good.

4. Two Biblical Images:

   • The construction of the Tower of Babel symbolizes the dangers of human pride and technological dominance without God’s guidance.
   • The rebuilding of Jerusalem illustrates a collaborative effort grounded in faith and community, highlighting the need for unity and responsibility.

5. Building for the Common Good:

   • The encyclical urges the Church to actively engage in social issues and promote justice, emphasizing shared responsibility and cooperation among all people.
   • It encourages a dialogue that respects diversity and seeks solutions that enhance human dignity.

Conclusion:

The document calls for a balanced approach to technology, urging society to choose collaboration and ethical standards over profit-driven motives. It advocates for a future that recognizes the value of every individual and the importance of community in building a just world.

Google redesigned the Gmail and Workspace icons to give them a fresh look and make them more modern. The changes aim to improve the visual appeal and ensure they better represent the services offered. The new designs focus on simplicity and clarity, making them easier to recognize and use.

The author expresses strong frustration with Google, announcing they will block the search engine from their website. They accuse Google of stealing content and damaging the web with poor services. The author feels that Google's platform does not bring meaningful traffic and criticizes all of Google's products, including YouTube. They declare their support for an open web, emphasizing that it belongs to everyone, not just Google. The author calls on others to join them in resisting Google's influence on the internet.

No summary available.

No summary available.

The author reflects on the decline in children's independence over the years. When they were younger, they could freely explore their neighborhoods and engage in outdoor activities, but today, many children are restricted to their yards or streets due to parental fears about safety. Statistics show that children now have less freedom to roam compared to previous decades, despite evidence that crime rates against children have decreased.

The author attributes this change to a culture of overprotectiveness, influenced by media portrayals of danger and societal judgment toward parents who allow their children autonomy. Many parents desire to give their kids more freedom but feel pressured by fears of kidnapping, accidents, and criticism from others. This has created a "safetyism" culture where adults prioritize preventing all risks over fostering independence.

The author emphasizes that children need opportunities to face manageable risks to develop skills like problem-solving and emotional regulation. Overparenting can lead to increased anxiety and mental health issues in youth. The author advocates for gradually allowing children more freedom to explore their surroundings, face challenges, and learn from their experiences, ultimately promoting resilience and confidence.

Summary of gobee:

Gobee is a tool that allows you to write BPF (Berkeley Packet Filter) programs using the Go programming language instead of C. It converts a specific subset of Go code into BPF C code, generates user-friendly Go bindings, and checks compatibility with the running kernel when loading programs.

Key features include:

• Transpilation: Converts Go code into BPF C code, making it easier for Go developers to work with BPF without needing to switch to C.
• Typed Go Bindings: Automatically generates Go bindings for better integration with userspace programs.
• Compatibility Checks: Ensures that the BPF programs are compatible with the kernel version.
• Support for Various Program Types: Supports multiple BPF program types like tracepoints, kprobes, and XDP.
• Extensive Helper Coverage: Provides around 200 typed Go wrappers for BPF helper functions.
• User-defined Helpers: Allows users to define their own helper functions in Go that can be used in BPF programs.
• Error Mapping: Provides clear error messages linking back to the original Go code for easier debugging.

Gobee is designed for projects that want a unified workflow for both kernel and userspace development in Go, without replacing existing C-based workflows. It requires the clang compiler for generating the necessary BPF artifacts.

The tool is open-source, licensed under MIT, and is actively maintained with CI processes to ensure quality and compatibility.

Here is a simplified summary of the coin prices:

• Bitcoin (BTC) is priced at $75,800, down by 1.98%.
• Ethereum (ETH) costs $2,069.14, down by 2.31%.
• Other notable coins include:
  • Binance Coin (BNB): $655.40, down by 0.87%
  • XRP: $1.33, down by 1.92%
  • Cardano (ADA): $0.239, down by 2.56%
  • Dogecoin (DOGE): $0.1007, down by 1.96%
  • Litecoin (LTC): $51.72, down by 2.07%
• Stablecoins like USDC and USD are close to $1, with minor fluctuations.
• Some coins experienced more significant drops, like Zcash (ZEC) down 11.57% and Aave (AAVE) down 1.27%.

Overall, most cryptocurrencies have seen a decline in value, with only a few showing slight gains.

Summary of "Squares in Squares" by David Ellsworth

This text discusses various packings of unit squares inside the smallest known enclosing squares, denoted by the side length ( s ). Key points include:

1. Packing Configurations: The article presents images showing how ( n ) unit squares fit into a square of side length ( s ). The configurations with multiple labels indicate the largest packing, with smaller configurations shown by removing squares.

2. Best Known Packings: For values ( n \leq 324 ) not shown in images, the simplest packing (without tilted squares) is considered the best known.

3. Polynomial Roots: Some configurations have side lengths represented as roots of polynomials of degree 3 or higher. These are indicated by a locked 🔒 icon, which allows for further exploration of the polynomial's structure.

4. SVG Editing Features: The text mentions an SVG Edit Mode where users can interact with the squares, enabling dragging, rotation, and deletion within the SVG viewer.

5. Historical Context: Several side lengths ( s ) have been established through proofs and notable discoveries by mathematicians over the years, with dates and contributors listed for various configurations.

6. Zoom Options: The article provides zoom levels for viewing the SVG images of the packings.

In essence, this text serves as a detailed reference for mathematical exploration of square packings, highlighting both the historical progress and technical aspects of the configurations.

The text critiques the current state of the AI industry, particularly focusing on the disconnect between executives ("Business Idiots") and the realities of work and technology. The author argues that many executives are overly enthusiastic about AI because it allows them to feel productive without understanding its limitations or consequences. This leads to a culture where companies invest heavily in AI technologies that often don't deliver real value.

Key points include:

1. AI as a Tool for Illusions: Generative AI can mimic work and produce outputs that satisfy executives, masking its inefficiencies and failures. This creates a dangerous reliance on AI among those who don't truly understand its capabilities.

2. Economic Misalignment: There is a disconnect between the hype surrounding AI and its actual effectiveness. Companies are spending vast sums on AI without clear evidence of return on investment or productivity gains.

3. Venture Capital Influence: The AI industry is propped up by venture capital that ignores underlying problems, leading to unsustainable growth models. Companies like OpenAI and Anthropic are losing money but continue to attract investment due to misleading narratives.

4. Data Center Investment Speculation: The author describes the construction of AI data centers as speculative, with little proof of sustainable demand. Much of the investment is driven by debt and the belief that AI will eventually justify it.

5. Cultural Critique: The text criticizes the culture in tech and business where success is measured by short-term financial metrics rather than genuine innovation or product quality. It suggests that this mentality leads to a deterioration of meaningful work and real solutions for customers.

Overall, the text paints a bleak picture of the AI industry's future, suggesting that it is built on shaky foundations and driven by a culture that values appearance over substance.

The text discusses the challenges of writing portable C code due to reliance on non-standard behaviors and compiler-specific extensions. Key points include:

1. Non-Standard Code: Most real-world C code doesn't strictly follow the ISO C standard, often using non-standard features to work around compiler bugs and limitations.

2. C Library Headers: The GNU C Library (glibc) poses difficulties for compiler developers due to its heavy reliance on GCC-specific features and macros, which can lead to compatibility issues.

3. Feature Detection: Various libraries (like SDL and OpenBSD's libc) use complex feature detection mechanisms that may not work well with non-GCC compilers, resulting in broken code or unexpected behaviors.

4. Android's Bionic: Android's libc (bionic) assumes the use of Clang, which can complicate development for other compilers.

5. Portability Solutions: Compiler developers can address these issues by:

   • Attempting to patch upstream for compatibility.
   • Gaining popularity to encourage developers to test with their compiler.
   • Distributing patches as needed.
   • Emulating GCC features to support a wider range of codebases.

6. Current Landscape: The dominance of GCC and Clang complicates C portability. There is a suggestion for more widespread use of feature test macros to improve compatibility.

In conclusion, while C portability is challenging due to dependencies on specific compiler behaviors, there are some strategies that developers can employ to navigate these issues.

The Jensen–Shannon divergence (JSD) is a method used in statistics to measure the similarity between two probability distributions. It is named after Johan Jensen and Claude Shannon and is related to the Kullback–Leibler divergence but has important differences, such as being symmetric and always yielding a finite value. The closer the JSD is to zero, the more similar the distributions are.

Key Points:

• Definition: JSD is a symmetrized and smoothed version of the Kullback–Leibler divergence, calculated using a mixture of the two distributions.
• Range: For two discrete distributions, JSD values range from 0 to 1, with 0 indicating identical distributions.
• Applications: JSD is used in various fields, including bioinformatics, social sciences, and machine learning, to compare data distributions.
• Quantum Version: There is a quantum version of JSD that applies to quantum states, known as quantum Jensen–Shannon divergence (QJSD).
• Centroid: The JSD can also be used to find a centroid of a set of probability distributions, minimizing the average divergence.

Overall, the Jensen–Shannon divergence is a versatile tool for comparing the similarity of probability distributions in both classical and quantum contexts.

OpenBrief is a user-friendly interface for yt-dlp, enhanced with AI features. You can paste a link to download content to your computer, and it will transcribe and generate voice using AI that runs locally. It also provides summaries and chat options based on the transcript, using a large language model (LLM) that requires your own key. OpenBrief is open source and free to use.

The article discusses the decline of programming books in modern times. Once a staple in bookstores, the section dedicated to computer books has shrunk significantly, with many stores reducing their offerings. Sales of computer books dropped by nearly 17% in the first nine months of 2023, while overall book sales remained stable.

The decrease in programming book sales is attributed to the rise of AI tools like ChatGPT and GitHub Copilot, which provide instant answers and coding assistance, reducing the demand for traditional learning methods. Programming books, which required readers to type out examples, fostered a deeper understanding through practice. In contrast, AI tools offer quick solutions but may not promote the same level of retention or discipline.

The author reflects on the nostalgic value of programming books and the shift in learning methods, acknowledging that while new programmers may learn differently, they are not necessarily worse off. Ultimately, the article notes the changing landscape of programming education and the fading interest in physical programming books.

Summary of 0patch Blog Post on Equation Editor

On January 16, 2018, the 0patch blog discussed the removal of the Equation Editor from Microsoft Office due to security concerns. This update affected many users, particularly educators, who relied on it for creating mathematical content in Word documents. Microsoft recommended using a paid alternative, MathType, but many users were unhappy with this solution.

Microsoft stopped supporting Equation Editor because of the difficulty and cost of manually patching its vulnerabilities. In contrast, 0patch offers a solution by providing micropatches that can quickly be applied to the Equation Editor, allowing it to continue functioning securely.

To restore and secure Equation Editor after its removal, users were instructed to:

1. Restore the deleted Equation Editor files.
2. Re-register Equation Editor in the system registry.
3. Install the free 0patch Agent to receive ongoing security updates.

The blog emphasized the importance of keeping software updated to avoid vulnerabilities and noted that 0patch aims to continue supporting Equation Editor as long as new vulnerabilities are discovered.

The post concluded with an invitation for users to share their experiences and questions regarding the restoration of Equation Editor.

Summary of Toshifumi Suzuki's Biography

Toshifumi Suzuki, born on December 1, 1932, in Nagano, Japan, is a prominent business leader known for revolutionizing Japan's retail industry. He graduated from Chuo University in 1956 and began his career in publishing sales before joining the Ito-Yokado Group in 1963. He became the first president of Seven-Eleven Japan in 1973, leading its growth into a network of over 10,000 convenience stores by 2003.

Suzuki introduced franchising to Japan and adapted the convenience store model to meet local shopping habits, emphasizing freshness and accessibility. He implemented advanced data systems that improved operations and customer service. Under his leadership, Seven-Eleven Japan outperformed its U.S. counterpart, eventually acquiring a majority stake in Southland, the parent company of 7-Eleven in the U.S.

Known for his rigorous management style, Suzuki encouraged innovation and adaptation within his teams. He remained an influential figure in the business community into the 21st century, promoting e-commerce and expanding Ito-Yokado's operations in China. Suzuki has been recognized as one of Japan's most respected business leaders.

On May 21, 2026, IBM and the U.S. Department of Commerce announced a $2 billion CHIPS Act investment aimed at developing quantum computing technology. A significant part of this funding, $1 billion, will support IBM's new quantum chip foundry, Anderon, which will be located in Albany, New York. This facility will focus on superconducting qubit technology using a 300mm fabrication process, which is seen as more efficient than the older 200mm process.

The CHIPS investment is divided among nine companies, with IBM receiving the largest share to enhance its manufacturing capabilities, while smaller amounts are allocated to other companies exploring different quantum technologies like trapped ions and photonics. This funding strategy creates a two-tier system, favoring superconducting silicon technology, which can leverage existing semiconductor manufacturing techniques.

IBM's Anderon will not only produce qubit wafers but also necessary electronic components, addressing the challenge of integrating classical control systems with quantum computing. The goal is to make significant advancements in quantum technology, potentially leading to high revenues by the mid-2030s. The government will also take minority stakes in these companies to manage technology risks.

Overall, this initiative aims to bolster U.S. leadership in quantum technology while creating high-paying jobs and fostering innovation in the sector.

No summary available.

No summary available.

Summary:

The text discusses the inefficiencies of classical CPU architecture for matrix computations, particularly focusing on the matrix transpose operation. It highlights the significant challenges developers face, such as memory latency and cache organization, which lead to performance bottlenecks.

1. Matrix Transpose Problem: The operation involves copying elements from a source matrix to a destination matrix in a transposed manner, which can be inefficient due to high memory latency and poor cache performance.

2. Naive Implementation: The simplest transpose algorithm is straightforward but slow. It performs numerous memory accesses that can cause high latency, particularly due to cache misses.

3. Memory Access Patterns: The text breaks down the performance issues into read and write streams, explaining how read operations can benefit from caching while write operations suffer due to non-sequential access patterns.

4. Performance Bottlenecks: The write stream is particularly problematic, as it often leads to increased latency due to the way memory operations are handled. As matrix size increases, performance degrades, revealing the write stream as the primary bottleneck.

5. Optimizations: Several methods to optimize matrix transpose are proposed:

   • Block Transpose: Dividing the matrix into smaller blocks that fit into cache lines enhances performance by reducing cache misses.
   • Software Prefetching: Manually prefetching data can improve speed by anticipating memory needs.
   • Vectorization: Using SIMD (Single Instruction, Multiple Data) techniques to process multiple elements simultaneously can significantly reduce the number of cycles needed per element.

6. Performance Improvements: The article outlines how advanced techniques, such as block decomposition, software prefetching, and SIMD processing, can achieve up to 25 times faster performance compared to naive implementations.

In conclusion, the text serves as a comprehensive guide to optimizing matrix transpose algorithms for better performance on modern CPUs, emphasizing the importance of memory access patterns and cache utilization.

In 1974, humorist Russell Baker described the Baby Boom generation, which consists of 76 million people, as a "pig in the python" moving through the economy, significantly affecting various sectors. As they entered the workforce, Baby Boomers created a competitive job market that suppressed wages and opportunities for younger generations. Their dominance in the labor market has lasted for decades, leading to a current worker shortage as they retire.

In housing, Baby Boomers occupy a large number of family-sized homes, making it difficult for younger families, particularly millennials, to find affordable housing. Many Boomers are hesitant to move, contributing to a supply shortage in the market.

At the top levels of business and politics, Baby Boomers have often failed to establish succession plans, leading to a lack of preparedness for leadership transitions. They hold a disproportionate number of positions in Congress and other influential roles, limiting opportunities for younger generations.

Overall, as Baby Boomers retire, there are concerns about the impact of their absence on the economy, housing, and leadership. The question remains about what the future will look like as they gradually leave the stage.

The Trump administration has deleted a large amount of information related to cases from the January 6, 2021, Capitol riot, including details about violent assaults on police officers. This action is seen as part of an effort to reshape the narrative surrounding the riot, which involved significant violence against law enforcement.

The Justice Department justified the deletions by claiming they are reversing the previous administration's "weaponization" of the department. NPR has noted that the removed information included serious cases, such as those involving defendants who assaulted police officers and received lengthy prison sentences.

In addition to these deletions, Trump has granted clemency to many defendants from the riot, including pardons for violent rioters. The administration has also settled a lawsuit related to a rioter's death and launched a fund that may provide payouts to rioters.

Police officers injured during the riot have spoken about the long-lasting effects of the violence they faced. Former federal prosecutor Brendan Ballou has commented that efforts to downplay the events of January 6 are part of a larger strategy to undermine democratic institutions.

Despite the deletions, NPR continues to maintain a comprehensive database of the criminal cases related to the riot, which is accessible to the public and used by various stakeholders. They are also pursuing legal action to obtain more evidence from the government.

Summary of "The Open/Closed Problem in AI" by Maxim Khailo

Maxim Khailo attended the MLSys conference, where the focus was mainly on improving the efficiency of training and using large language models (LLMs). He noticed a recurring issue, which he calls the Open/Closed problem in AI.

Historically, 3D graphics evolved from using general-purpose CPUs to specialized graphics cards (GPUs) that limited creativity due to fixed pipelines. Later, programmable GPUs restored flexibility, leading to advancements like CUDA, which enabled neural networks to be trained on GPUs. However, now the trend is moving back towards specialization, with ASICs designed specifically for either training or inference, reducing the versatility of AI systems.

Khailo points out that current AI models operate in an "open loop," meaning they do not learn or adapt after deployment without external input. This contrasts with how human brains learn through a "closed loop," updating knowledge internally without outside intervention. While many are focused on improving open-loop learning, there is little effort to develop models capable of closed-loop learning.

He warns that the current push for efficiency in hardware may hinder progress towards closed-loop learning. As hardware becomes more specialized for static models, the opportunity to innovate in self-learning models diminishes. Khailo emphasizes the need for new experimental platforms that allow for closed-loop learning and urges researchers to shift their focus before it's too late.

Logseq Doctor Summary

Logseq Doctor is a tool designed to improve your Markdown files before importing them into Logseq. It currently has both Python and Go versions, but the plan is to focus on the Go version in the future.

Key Features:

• Outline Conversion: Turn flat Markdown files into Logseq's outline format.
• Task Management: Create and manage tasks, including task backlogs that can be organized and prioritized.
• Content Management: Append Markdown content to Logseq pages.
• File Cleanup: Standardize and tidy up Markdown files.
• Prevention of Invalid Content: Helps ensure that only valid content is added.

Installation:

• Go Version: Recommended installation via Homebrew for macOS and Linux or manually using Go commands.
• Python Version: Install globally using pipx or from the development version on GitHub.

Usage:

• Start by typing lqd (for the Go version) or lqdpy (for the Python version) to see available commands. Commands include managing tasks, appending content, and converting Markdown.

Development Setup:

• Developers can set up the project locally and run tests using provided commands.

Overall, Logseq Doctor helps streamline the process of managing Markdown files for use in Logseq.

In "Everyone Against Us: Public Defenders and the Making of American Justice," former Cook County public defender Allen Goodman shares his experiences from 1996 to 2004, highlighting the challenges faced by both accused individuals and their lawyers within a flawed legal system. Goodman emphasizes the noble role of public defenders, who work to protect the rights of the accused against state abuses, despite facing a lack of resources and respect.

He describes the harsh realities of Cook County Jail, where many defendants feel compelled to accept plea deals to escape brutal conditions. Goodman illustrates the systemic issues, including racial and class biases, that affect clients, often leading to unfair trials and sentences.

Through anecdotes, he reveals the struggles to secure fair treatment for clients, contrasting cases of marginalized individuals with those of more privileged defendants who receive leniency. Goodman’s narrative exposes the discrepancies in the justice system and the emotional toll it takes on both clients and lawyers. Ultimately, he advocates for the importance of defending the accused, asserting that it is essential for a just society.

Gary and Ian are creating Chert, an API that helps businesses manage iMessage conversations efficiently. Their demo can be viewed on YouTube. They started by developing tools for iMessage, which they found to be more engaging than SMS because of its features like typing indicators and reactions.

The challenge is that iMessage lacks a built-in API, making it hard to set up for large-scale use. They discovered that businesses often use iMessage for customer service, missed-call responses, and other high-volume tasks, particularly in areas like home services and property management.

Chert is designed to provide the necessary infrastructure for businesses to send and receive iMessages programmatically, route messages to human agents, and integrate with existing systems like SMS, voice agents, and CRMs. They also offer tools for maintaining service stability and scaling operations easily.

Currently, they are collaborating with companies in various sectors to implement conversational messaging. They welcome feedback on other areas where iMessage could be beneficial.

Summary of macOS Tahoe 26.5 Security Update

Released on May 11, 2026, the macOS Tahoe 26.5 update addresses various security vulnerabilities to enhance user protection. Apple does not disclose specific security issues until they have been investigated and patched.

Key points include:

1. Denial-of-Service Issues: Several apps were found to potentially cause system crashes or prevent user access. These issues were fixed with better input validation and bounds checking.

2. Privacy Vulnerabilities: Some apps could bypass privacy settings or access sensitive user data. Additional restrictions and checks were implemented to prevent these breaches.

3. Memory Corruption Risks: Multiple vulnerabilities could lead to unexpected app terminations or memory corruption. Improvements in memory handling and validation were made to address these concerns.

4. Sandbox Breakouts: Certain apps could escape their restricted environments. Enhanced permissions and restrictions were applied to prevent this.

5. Kernel and File System Security: Vulnerabilities that could allow apps to modify protected system areas or gain root privileges were fixed by removing vulnerable code or applying stricter controls.

6. Web Content Handling: Issues in processing malicious web content could lead to crashes or data leaks. Improved validation and memory management were introduced to mitigate these risks.

7. Acknowledgments: The update credits various researchers and contributors for their assistance in identifying and resolving these vulnerabilities.

For more detailed information, users can visit the Apple Product Security page.

The author believes that React is often not the right choice for many projects. While it has its uses, they feel that people tend to use it for everything, even when it might not be suitable. Although it's possible to use React effectively, the author feels this rarely happens.

Sweden has achieved a significant milestone by reducing the number of regular smokers to less than five percent, making it a "smoke-free" country. This achievement, reported in the 2025 annual smoking report, indicates a drop from 16 percent in 2003 to 4.8 percent in 2025.

Mats Ramstedt, head of research at the Swedish Council for Information on Alcohol and Other Drugs (CAN), praised this development, noting that people are also smoking fewer cigarettes. The decline in smoking rates is attributed to various preventative measures, including increased taxes and advertising bans, making smoking harder and more expensive.

While the use of snus (nicotine pouches) has increased in Sweden, Ramstedt emphasized that smoking rates were already falling significantly before this trend, suggesting that preventative efforts are the main reason for the decrease in smoking.

The text discusses a security vulnerability in Microsoft Copilot Cowork, a feature within Microsoft 365 that can automatically send emails and Teams messages without requiring user approval. This flaw allows attackers to exploit indirect prompt injections and exfiltrate sensitive files from users' accounts.

Key Points:

1. Vulnerability Details:

   • Copilot Cowork can send messages without human approval when the recipient is the active user.
   • Attackers can send compromised messages containing links that lead to file downloads, including sensitive information.

2. Attack Process:

   • Users can upload skill files that may contain malicious prompts.
   • When asked to perform tasks, Copilot Cowork can unwittingly share links to sensitive files with attackers when the recipient opens the message.

3. Mitigation Strategies:

   • Organizations should limit permissions to reduce risks and prevent the retrieval of sensitive file links.
   • Administrators can implement restrictions on file downloads in SharePoint to minimize exposure.

4. Efficacy of the Attack:

   • The attack was highly effective across different models, demonstrating that even minimal malicious code can successfully hijack the system's behavior.

5. Risks with Scheduled Tasks:

   • Scheduled tasks in Copilot can exacerbate these vulnerabilities since they execute automatically without user oversight, potentially perpetuating attacks.

In summary, users and organizations should be cautious when using Copilot Cowork, especially with untrusted data, and take steps to secure their permissions and file access.

The article by Barrett Sonntag discusses how to effectively build skills for automation, particularly in the context of handling repeated tasks in software development. Here are the key points:

1. Start Small: When faced with a backlog of issues, instead of trying to automate everything at once, begin with one useful behavior. For example, create a tool that proposes fixes for a specific issue in a single file.

2. Understand Automation: The term "automation" encompasses various tasks, such as scanning, classifying, and fixing issues. Clearly define what specific task your skill will perform to avoid confusion.

3. Iterative Development: Initially, build a basic skill and then improve it based on real-world use. Test it with actual files to identify gaps and refine its functionality.

4. Accretion of Skills: Once your initial skill is reliable, gradually expand its capabilities based on user needs rather than preconceived plans.

5. Human Involvement: Automation doesn’t mean eliminating human oversight. Define where human judgement is necessary in the workflow, as it's an essential part of the design.

6. Focus on Usability: Begin creating your skill immediately by identifying one rule, one file type, and one expected outcome. Use real examples to refine the skill and let it evolve based on practical use.

In summary, the approach emphasizes starting with small, useful tasks and refining them through actual application, rather than attempting to design a comprehensive system upfront.

No summary available.

On May 18, 2026, Dutch authorities arrested two men, Andrey Nesterenko and Youssef Zinad, who co-own Internet hosting companies accused of providing infrastructure for Russian cyberattacks in the EU. The arrests were part of an investigation into their connections to Stark Industries Solutions, an ISP previously sanctioned by the EU for facilitating Russian cyber activities.

The investigation began after Stark Industries was linked to a surge in cyberattacks, particularly distributed denial-of-service (DDoS) attacks against European targets. The authorities seized over 800 servers during the arrests, which were made after allegations surfaced that their services had been exploited in pro-Russian cyber operations, including attempts to influence Danish elections.

Nesterenko, who operates MIRhosting from the Netherlands, denied any wrongdoing and claimed that his companies do not support illegal activities. Zinad, who has maintained a low profile since the investigation, has not publicly responded to inquiries.

Both men face charges related to violating sanctions laws by providing resources to sanctioned entities. The investigation continues as the authorities analyze the evidence and determine the extent of the cyber activities linked to their companies.

This paper discusses the challenges of using large language models (LLMs) for generating hardware designs at the register-transfer level (RTL). While LLMs can assist in this process, they struggle with the complexities of compiler-based hardware designs, such as specific syntax and structure requirements.

To address these challenges, the authors introduce CPPL, a framework that simplifies hardware generation by using a compiler-based approach. CPPL includes a Python-based interface for defining hardware modules and a JSON format for representing circuit designs. This setup allows the compiler to check generated designs for correctness and to optimize them effectively.

The results show that CPPL improves the accuracy of hardware designs compared to traditional RTL generation methods. Additionally, the use of compiler optimizations leads to more efficient designs after synthesis. Overall, CPPL makes LLM-assisted hardware design more reliable and easier to optimize. The framework is publicly available for use.

The author has been using a terminal for over 20 years and noticed that they’ve become less reliant on typing commands and more on natural language phrases like "find the 5 largest files." To bridge this gap, they developed a system that allows them to use simple English commands with a few symbols: a comma for requesting commands and a question mark for asking questions.

When they type a comma followed by a description, a local model generates a list of commands with brief explanations. They can then choose one to execute. This model runs on their laptop and is designed to provide suggestions without executing them automatically, ensuring safety.

For questions, the question mark prompts a different tool that can read files or search the web for answers, displaying results in markdown format.

The author emphasizes that the system only suggests commands and doesn’t run them without approval, maintaining a safety barrier. They find the process enjoyable and efficient and are working on further enhancements for more direct command execution in the future. Overall, while computers still can’t talk, this setup helps the author communicate more effectively with theirs.

Summary of Bytecode VMs in Surprising Places

Richard Hipp discussed the use of bytecode virtual machines (VMs) beyond common programming languages like JavaScript and Python, highlighting several unexpected applications:

1. eBPF: Found in the Linux kernel, eBPF (Extended Berkeley Packet Filter) is a bytecode interpreter with a JIT compiler. Originally designed for network packet filtering, it has evolved to support more complex tasks and includes a register-based VM with ten registers, enhancing performance and functionality.

2. DWARF Expressions: DWARF is a format for debugging information in compiled programs. It uses an expression language that allows debuggers like GDB and LLDB to compute variable values during debugging. GDB also has its own bytecode interpreter for evaluating expressions efficiently in remote debugging scenarios.

3. WinRAR: The file compression tool WinRAR can use bytecode in its proprietary RAR format. This bytecode runs on a simple virtual machine (RarVM) to perform data transformations that improve compression.

4. Flexible Shaders on GPUs: Recent approaches in graphics rendering use interpreters to handle shader programs on GPUs, allowing for dynamic rendering without the need to compile specialized shaders for every configuration.

5. Other Examples: The TrueType font specification and PostScript also incorporate bytecode for rendering and programming tasks.

These examples illustrate how bytecode VMs are versatile and appear in various unexpected contexts beyond traditional programming environments.

A significant advancement in aeronautical engineering challenges the long-held belief that smoother surfaces reduce aerodynamic drag. Traditionally, it was thought that a smooth surface led to less drag because it allowed air to flow more orderly, decreasing resistance. However, new research from Tohoku University shows that applying a fine, irregular surface texture, called distributed micro-roughness (DMR), can actually reduce aerodynamic drag by up to 43.6%.

This finding overturns the previous principle established by Ichiro Tani in the 1940s, which stated that rough surfaces increased turbulence and resistance. The recent study used advanced wind tunnel technology that eliminates airflow disruption from support structures, allowing for precise measurements. The researchers found that DMR surfaces delay the transition from smooth to turbulent air flow, thus reducing drag.

Unlike other methods, such as mimicking shark skin, DMR works effectively regardless of airflow direction and is cost-efficient since it doesn't require complex machinery. This breakthrough could lead to significant improvements in fuel efficiency and a reduction in carbon emissions for vehicles like airplanes and cars. Future research will focus on optimizing the DMR design for broader applications.

The article "China vs Taiwan: The Geography of an Unfinished War" by Raghu Kondori discusses the ongoing conflict between China and Taiwan, emphasizing that it is not just a political issue but also a crucial geographic and strategic matter.

Key points include:

1. Geographic Importance: Taiwan is strategically located between the East and South China Seas, making it critical for control over maritime routes in East Asia. Its control affects the balance of power in the region.

2. Military and Economic Factors: Taiwan's geographic position poses both opportunities and vulnerabilities. While the sea offers protection, it also makes Taiwan reliant on trade and energy imports, which could be disrupted, leading to economic crises.

3. Technological Role: Taiwan is central to global semiconductor production, making it vital for technological advancement and military capability. This dependency increases Taiwan's geopolitical significance.

4. Ideological Conflict: For China, Taiwan represents a challenge to its authoritarian regime, highlighting that a democratic society can thrive outside of Communist Party control. This ideological aspect complicates the conflict further.

5. Potential Future Scenarios: The article outlines possible future developments, ranging from managed tension and coercive tactics to outright military conflict. The situation is precarious, with risks of miscalculation between military forces.

6. Broader Implications: The conflict is seen as a defining struggle between different political systems and philosophies, impacting not just regional but global power dynamics.

In summary, Taiwan's future is influenced by its geographic location, economic dependencies, technological significance, and the ideological battle between democracy and authoritarianism. The situation is complex and poses significant risks for the Indo-Pacific region.

Summary of Maia-3 Release

Maia-3 is a new, free, and open-source chess engine designed to mimic human behavior in chess. Its main purpose is to predict moves that real players might make, rather than just the best moves. It can simulate players with ratings from 600 to 2600, making it useful for both beginners and advanced players.

Key features of Maia-3 include:

• Improved accuracy: It predicts human moves 57.1% of the time, better than previous versions (Maia-2 and Maia-1).
• Accessible for training: Users can play against Maia-3 for free on www.maiachess.com, which offers various training tools and analyses, including unique features like "Moves by Rating" and blunder detection.
• A new architecture called Chessformer, which combines human-like play with engine strength, making it easier to understand and use.

Maia-3 also allows for advanced game analysis by comparing its predictions with those of another strong engine, Stockfish, providing insights into how players of different levels might respond in various situations.

The project is led by a team from the University of Toronto's CSSLab, and the models and code are available for anyone to use. The community is encouraged to join discussions and share their experiences on Discord.

The TP–7 is a versatile field recorder designed to easily capture high-quality audio in various situations. Here are the key features:

1. Recording and Editing: The TP–7 allows users to record, trim, and layer audio seamlessly. It has multi-track capabilities and features like metronome, cue points, and looping.

2. Easy Transcription: With its companion app, users can transcribe audio into multiple languages effortlessly, making it useful for professionals like podcasters and dentists.

3. User-Friendly Design: The device is compact and has intuitive controls, including a motorized tape reel for navigation. It can be turned on and start recording with one button.

4. Connectivity Options: It includes three stereo jacks that can be set as inputs or outputs, a USB-C port for data transfer, and Bluetooth for wireless use.

5. Portability: Designed for on-the-go recording, it features a rechargeable battery with up to 7 hours of life and 128 GB of internal storage.

6. Versatile Use Cases: The TP–7 is suitable for interviews, podcasts, live performances, and field recording, making it a flexible tool for various audio needs.

7. Specifications: It includes features like a built-in microphone, headphone connector, and a display for monitoring.

Overall, the TP–7 is a powerful and portable audio recording device that caters to a wide range of users.

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Summary: The Legacy of Gnutella

Gnutella is a forgotten file-sharing protocol that became popular in the early 2000s, allowing users to share and download files, particularly MP3s, without needing to understand peer-to-peer technology. It thrived for about a decade before declining, not due to failure, but because the internet landscape had changed.

Key Points:

1. Origins and Rise: Gnutella started as a demo by AOL and quickly gained traction due to its decentralized nature, allowing millions to use it without needing a central server.

2. Popularity Factors: In the early 2000s, music sharing flourished because the music industry was slow to adapt, affordable MP3 players became common, and managing files was still manageable for users.

3. Protocol Features: Gnutella functioned as a peer-to-peer search engine for files. Users would connect through various applications, search for files, and download them directly from other users' computers.

4. Technical Structure: The protocol used a gossip system to share information about available files and peers. It required users to find initial peers, known as "bootstrapping," to join the network.

5. Message Types: The protocol included core messages (PING, PONG, QUERY, QUERYHIT, PUSH) that facilitated peer discovery and file sharing.

6. Endurance and Decline: Gnutella's decentralized design made it resilient, yet it became less relevant as the internet evolved, with modern platforms overshadowing traditional file-sharing methods.

Gnutella remains operational today, albeit at reduced capacity, and still serves as a testament to the effectiveness of decentralized technology.

The text discusses a software revision related to a bug fix for a crash issue on Intel Raptor Lake CPUs, identified as Bug 1950764. The revision was authored by a user named glandium on May 21, 2026, and went through various stages of review and updates before being accepted and committed. Key points include:

• The bug fix aimed to work around a crash problem affecting specific Intel CPUs.
• The revision went through several updates and required testing before it could be finalized.
• The revision was accepted by reviewer gsvelto and eventually committed to the Firefox codebase.

Overall, the process illustrates the collaborative effort in software development to address and resolve technical issues.

DeepSeek has decided to make the price discount for the V4 Pro permanent. You can find more discussions about this decision in an ongoing thread with many comments.

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The text discusses a new set of error codes for artificial intelligence (AI) systems, similar to traditional human error codes. These new codes address common AI issues, such as "hallucinations" (EAI), "unjustified confidence" (EDUNK), and "excessive API errors" (ESPOF). The codes aim to categorize and clarify different types of AI failures, ranging from minor issues to significant system compromises. The document is intended for use in AI development and is publicly available.

AudioMass is a free, web-based audio and waveform editor that works directly in your browser without needing any plugins. You can load various audio files and perform tasks like fading in/out, cutting, trimming, adjusting volume, and applying different effects.

Key features include:

• Keyboard shortcuts for actions (e.g., Shift+Z for undo, Shift+C for copy).
• Tools for mixing, analyzing frequency, and editing audio.
• Options to save drafts and load files from your computer, samples, or URLs.

You can access the code on GitHub and enjoy working with audio easily.

The text discusses the current impact of artificial intelligence (AI) on the job market, particularly for white-collar workers. Contrary to fears of widespread job loss, research indicates that AI has not yet significantly affected employment levels. In fact, the unemployment rate for jobs most exposed to AI is lower than for those with less exposure.

Experts note that while AI could disrupt the job market in the future, current data shows a stable labor market. Many companies are still not using AI, and any job loss attributed to AI is mainly observed in entry-level positions, particularly in fields like software development. The decline in jobs for younger workers may be more related to broader economic conditions rather than AI itself.

There is a call for better data to understand how AI is being integrated into various industries and its potential effects on different occupations. While some jobs, like coding, are evolving, overall employment in these fields is still growing, albeit at a slower rate.

The text emphasizes the need for proactive measures, such as reskilling programs, to prepare for potential changes in the labor market due to AI. Although there is optimism about AI's economic potential, the lack of comprehensive data hinders our understanding of its impact on jobs. The future remains uncertain, and careful monitoring of labor statistics will be essential to navigate this transition effectively.

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The commands for the system follow the format output = \func inputs or \function inputs. You can create points and lines easily, like using \line a b to draw a line between points a and b. The system allows for broadcasting similar to NumPy and PyTorch, making it easy to create visual elements like circles with different sizes and centers. You can also perform tasks like backpropagation and gradient descent, and any changes to variables will automatically update related visuals. Users can create and share their own visualizations as well. For more examples, visit the provided link.

Summary of Armin Ronacher's Thoughts on Building Pi With Pi

In his blog post, Armin Ronacher reflects on his experience working with Pi, a project that uses AI (referred to as "clanker") to manage code issues. Here are the key points:

1. Using Pi to Improve Pi: The project uses its own tools to enhance understanding and development, leading to insights about the issue tracker and how issues are reported.

2. Issue Quality Challenges: Many issues submitted are poorly written, often generated by AI, leading to confusion. These issues can misdiagnose problems, complicating the debugging process.

3. Importance of Clear Reporting: Ronacher emphasizes the need for concise and accurate issue reports. He prefers reports that clearly state what was observed, what was expected, and any specific error messages.

4. Complexity from AI: The AI often adds unnecessary complexity to code and issues. Instead of fixing the root problem, it tends to create elaborate workarounds that can worsen the situation.

5. High Volume of Submissions: The issue tracker receives a large number of submissions, many of which are low quality or irrelevant. This creates a maintenance burden.

6. Need for Collaboration: Ronacher stresses that Open Source projects should focus on collaboration and communication instead of relying solely on AI-generated solutions. Isolated work undermines the community's value.

7. Final Thoughts: He argues that while AI tools can assist, they should not replace human oversight and interaction, which are crucial for the long-term success of Open Source projects.

Overall, Ronacher calls for a balance between using AI tools and maintaining human collaboration to effectively address challenges in software development.