The letter addresses Oracle's control over the JavaScript trademark, arguing that it has been abandoned and is causing confusion in the tech community. JavaScript is widely used and has become a generic term, yet Oracle, which acquired the trademark through its purchase of Sun Microsystems, has not actively used it or enforced its rights.

The author explains that Oracle's non-use of the trademark for a product, alongside the general use of "JavaScript" by millions without Oracle's involvement, suggests that it should be considered abandoned. The letter calls on Oracle to release the trademark into the public domain, allowing for the name to be freely used without legal limitations. If Oracle does not act, the authors plan to file a legal challenge for cancellation of the trademark. They encourage support from others, including individuals and organizations, and seek legal assistance to pursue this action.

The article argues that transparent leadership is more effective than servant leadership. The author, who has experience managing a team, feels that servant leadership is akin to "curling parenting," where the leader removes obstacles for their team. While this may provide short-term comfort, it ultimately makes the team dependent on the leader and unprepared for challenges when the leader is gone.

Instead, the author proposes a model of transparent leadership, which includes:

• Coaching and teaching team members.
• Connecting people and fostering collaboration.
• Encouraging methodical problem-solving.
• Clarifying the organization's values to help team members make aligned decisions.
• Reducing their own involvement by empowering team members to take on leadership roles.
• Continuously training replacements to ensure smooth transitions.

The article suggests that once managers become redundant, they should not create unnecessary work or bureaucracy. Instead, they should return to technical tasks, maintaining their skills and earning respect from their team.

The author reflects on their experience as a Senior Staff Engineer at Google, contrasting their approach to work with that of Sean Goedecke, who discusses the challenges of being a high-visibility engineer in Big Tech. While Goedecke emphasizes the need to adapt to shifting business priorities and the "spotlight," the author prefers to focus on long-term stewardship and system stability.

The key points include:

1. Different Work Environments: The author works in developer tools and infrastructure, where success is measured differently than in product teams focused on market visibility. Their team operates with a bottom-up approach, prioritizing engineer feedback over executive directives.

2. Value of Stewardship: By staying with systems long-term, the author gains deep context, allowing for better problem-solving and innovation. This contrasts with the fast-paced, often chaotic nature of product development, where quick iterations can lead to short-term thinking.

3. Trust and Impact: The author emphasizes building trust through reliability, enabling them to say "no" to certain high-visibility projects that may compromise quality. They argue that long-term relationships with users create a strong advocacy for their work.

4. Alternate Metrics for Success: Rather than executive visibility, the author finds value in metrics such as utility, criticality, and scale of their tools, which demonstrate their impact on engineering success.

5. Career Considerations: The author acknowledges the fear of stagnation outside the spotlight but argues that deep technical ownership and the ability to solve complex problems can be more rewarding in the long run.

In conclusion, the author advocates for a career path focused on building lasting systems rather than chasing immediate recognition, suggesting that meaningful impact often comes from depth and patience in one's work.

This text discusses creating a functional Quadtree data structure in Clojure for efficient data management, particularly for rendering high-detail areas in applications like maps or graphics.

Key Points:

1. Quadtree Overview: A Quadtree is a tree structure that breaks down a 2D space into smaller regions to optimize detail where needed, saving resources elsewhere.

2. Functional Approach: Unlike traditional imperative methods, this approach focuses on creating a Quadtree in a functional programming style, which can rebuild the entire tree quickly without manually managing each node.

3. Implementation Steps:

   • Read the position of the camera (or mouse).
   • Check if the current node is appropriately sized.
   • If not, split the node into four smaller nodes and repeat.

4. Data Model: The Quadtree consists of nodes defined by their boundaries and center, allowing for distance calculations to determine if further splitting is necessary.

5. Visualization: The paper also describes how to visualize the Quadtree in real-time using a web interface, ensuring that as the user moves, the display updates without flickering by maintaining consistent colors.

6. Performance: The functional implementation is compact and easier to manage, emphasizing clarity and efficiency.

7. Tools: The author mentions using Shadow-cljs for compiling and testing the code easily.

Overall, the article illustrates the benefits of using a functional Quadtree in applications requiring variable detail based on user focus, highlighting both the coding process and the visualization aspects.

Researchers have recently uncovered ancient engineering and agricultural practices in Bolivia’s Great Tectonic Lakes, highlighting lessons in sustainability. The area, rich in biodiversity and cultural heritage, was shaped by Indigenous societies using techniques like raised fields and canals to adapt to wetland environments over centuries.

Excavations revealed signs of habitation dating from 600 to 1400 CE, with evidence of complex water management and a diverse diet that included fish, reptiles, and various plants. Today, local Indigenous communities, such as the Cayubaba and Movima, continue to uphold this biocultural heritage, working with scientists to protect the environment and share knowledge.

The findings emphasize the importance of sustainable land-use practices that have long been employed by these communities, which can inform modern approaches to conservation and environmental challenges. Protecting these traditions is crucial for the future, as they offer insights into resilience and sustainability in the face of climate change and deforestation.

The article discusses the Honda K-Series engine, which has been in production for nearly 25 years due to its reliability, performance, and efficiency. Introduced in 2001, the K-Series replaced older engine families by meeting stricter emissions standards and improving thermal efficiency. Honda designed this engine with lightweight materials and advanced technology like the i-VTEC system, enhancing its performance.

The K20C is the latest version, designed for both efficiency and compliance with modern emissions regulations. It features a reinforced design to handle higher pressures and improve durability. The engine is also popular in racing, known for its reliability and performance under demanding conditions.

While Honda is shifting towards hybrid technology, the K-Series remains crucial for their gasoline-powered models due to its adaptability and proven track record. Honda has plans to potentially incorporate this engine into future hybrid models, ensuring its continued relevance in the automotive market.

Postgres has a lightweight version built with WebAssembly (WASM) that is less than 3MB when compressed (Gzipped).

Samsung Semiconductor has refused to fulfill a RAM order from its own subsidiary, Samsung Electronics, due to skyrocketing prices driven by demand from the AI industry. The rising costs of RAM, referred to as "chipflation," are causing difficulties for smartphone manufacturers, who now have to negotiate supply deals more frequently and at higher prices. This situation is expected to lead to increased prices for Samsung phones and other electronics. Memory prices have reportedly tripled recently, and it is anticipated that these costs will continue to rise into 2026 and beyond, affecting the entire electronics market.

The Free Software Foundation Europe (FSFE) has deleted its account on X (formerly Twitter), stating that the platform no longer aligns with its values. Initially, the FSFE used X to promote Free Software and connect with people unfamiliar with its benefits. However, since Elon Musk's acquisition, the platform has become increasingly hostile, filled with misinformation and hate speech. The FSFE is concerned about the current environment and privacy issues on X, leading to their decision to leave. They continue to engage on other platforms to reach a wider audience and encourage supporters to join the Fediverse, which promotes user control and decentralization. Follow the FSFE on Mastodon and Peertube for updates.

Your Infrastructure Summary:

• You have complete control over your servers and data.
• Costs are predictable and not based on individual requests.
• There is no risk of being locked into a specific vendor or platform.
• You can access machines via SSH and use regular debugging tools.

MTXT - Music Text Format Summary

MTXT is a simple text format for representing music information, allowing users to write, read, and edit music data without needing special software.

Key Features:

• Beat-Based Timing: Events use decimal notation for beats, making it easy to understand timing (e.g., 3.25 means 3 quarter notes and 1 sixteenth note in 4/4 time).
• User-Friendly Structure: Each event is on a new line, making it easy to edit with a text editor. It uses familiar note names and allows custom aliases.
• Smooth Transitions: Supports gradual changes in parameters like volume and tempo.
• Real-Time Capable: Can stream musical events and adapt in real-time.
• Microtonal Support: Allows for fine tuning of notes and alternate tuning systems.
• Flexible Event Organization: Events can be written in any order; they are sorted before playback.
• MIDI Compatible: Can convert between MIDI and MTXT formats.
• Future-Proof: Supports many channels and custom parameters.

Basic Example: An example file includes metadata like title and author, defines note aliases, sets tempo, and specifies notes and chords to be played along with volume controls.

Rust Library and CLI Tool: A Rust library for parsing MTXT files and a command-line tool for converting between MIDI and MTXT formats are included.

Transform Options: During conversion, users can apply various musical transforms (e.g., transpose notes, quantize timing) and filter channels.

File Structure: An MTXT file starts with a version declaration, followed by optional metadata and events. Comments can be included, and timing is specified in beats.

Commands and Structure: The format uses clear commands for notes, control changes, volume, tempo, and more. It allows for detailed control over music playback and effects.

Transitions: Transitions are defined to smoothly adjust parameters over time, enhancing musical expression.

License: The format is open-source under the MIT License.

Overall, MTXT offers an accessible and flexible way to work with music data using plain text.

Custom elements are a straightforward feature of the web platform that allows you to create your own HTML tags with custom behavior. If you’ve used Hotwire in Rails, you’ve already encountered custom elements like <turbo-frame> and <turbo-stream>.

This article explains what custom elements are, how they differ from Stimulus controllers, and how to create them. It provides a simple example of a counter and a more complex example of an optimistic form that updates instantly without waiting for server responses.

Key Points:

1. What Are Custom Elements?

   • Custom elements allow you to define your own HTML tags with specific behaviors. They are part of the Web Components standard, which also includes Shadow DOM and templates.
   • To create a custom element, you define a class, register it with the browser, and then use your new tag in HTML.

2. Basic Example:

   • A simple custom element can display a message:

     class HelloWorld extends HTMLElement {
       connectedCallback() {
         this.textContent = "Hello from a custom element 👋";
       }
     }
     customElements.define("hello-world", HelloWorld);
     

   • You can then use <hello-world></hello-world> in your HTML.

3. Attributes and Properties:

   • Custom elements can read attributes just like standard HTML elements. You can also react to changes in these attributes using attributeChangedCallback.

4. Comparison with Stimulus:

   • Custom elements and Stimulus have similar lifecycle methods but differ in how they handle state and events. Custom elements use standard DOM methods, while Stimulus relies on conventions.

5. Building a Simple Counter:

   • You can create an interactive counter using a custom element that increments a number when clicked.

6. Building an Optimistic Form:

   • An optimistic form updates the UI immediately upon submission, providing instant feedback to users. If the form submission fails, it can still show an error message.
   • The form structure allows for easy integration with server responses.

7. Reusability:

   • Custom elements can be reused throughout your application, enabling consistent functionality across different forms and components.

This article encourages developers to explore custom elements as a powerful tool for building interactive web applications, particularly in Rails. The code examples are available on GitHub for reference.

Walrus: A Distributed Message Streaming Engine

Walrus is a high-performance platform for streaming messages, designed to handle large volumes of data with reliability. Here are the main points:

Key Features

• Automatic Load Balancing: It rotates leadership of segments to distribute workload efficiently.
• Fault Tolerance: Uses Raft consensus across three or more nodes to ensure data integrity.
• Simple Client Protocol: Clients can connect to any node, which automatically directs requests.
• Sealed Segments: Allows reading historical data from any replica without moving data during updates.
• High-Performance Storage: Utilizes io_uring on Linux for fast data handling.

Architecture Overview

• Producers and Consumers: Connect to any node for data operations. The system manages request routing automatically.
• Node Components: Each node includes a controller for request routing, a Raft engine for consensus, replicated cluster metadata, and a storage engine for data management.

Client Interaction

Using the command-line interface (CLI):

• Create a topic: REGISTER logs
• Send a message: PUT logs "hello world"
• Read a message: GET logs
• Check topic states: STATE logs
• Retrieve metrics: METRICS

Configuration Options

Configurable settings include node identifiers, storage directories, and network ports for both Raft and client connections.

Testing and Performance

Includes a comprehensive test suite for various scenarios like node failure recovery and concurrent writes. Performance benchmarks show high throughput for both writes and reads compared to other systems.

Correctness and Validation

Walrus has formal specifications to ensure data consistency and correctness, verifying that operations are reliable under concurrent conditions.

Usage as a Library

Walrus can also be used as a Rust library for simpler, embedded applications.

Contribution and Licensing

The project is open for contributions and is licensed under the MIT License.

Walrus is significant for its efficient message streaming capabilities and robust architecture, making it suitable for modern data-driven applications.

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The author has been debugging a ship simulation and has identified a problem with the longboat in a specific configuration (referred to as the "switch far seed"). They suspect that there might be a real issue with the simulation, rather than just a bug, particularly regarding the disappearance of certain elements during a specific time frame (from 65532M to 86663M). The author is unsure if this is due to a wandering glider or a simulation error.

They note that the ship produces gliders that interfere with the simulation, leading to complications in debugging. The author has attempted to adjust the seed multiple times, finding it challenging to finalize the project. They anticipate needing about a day to complete the work but have struggled with the debugging process, which has been lengthy and complex.

The debugging relies heavily on the switch far seed, and while playing the finished ship is straightforward, debugging in the simulation environment is time-consuming. The author mentions using a method to speed up the simulation but acknowledges that certain streams of gliders complicate things further. They conclude that the final simulation setup shows no issues after a certain point (generation 46000M), indicating that the method used for feeding gliders into the simulation is effective beyond that stage.

The infinite series 1/4 + 1/16 + 1/64 + 1/256 + … adds up to 1/3, a discovery made by Archimedes around 200 BC. This can be visually demonstrated in two ways:

1. In a unit square, the areas of black squares (1/4, 1/16, etc.) combined equal 1/3, as they balance out with white and gray areas.
2. In a triangle, if the largest triangle has area 1, the black triangles (1/4, 1/16, etc.) also total 1/3, again balancing with the other colored areas.

These visual proofs show that the areas of the black shapes add up to one-third of the total area.

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Summary of Saturn's Mission and Senior AI Engineer Role

Saturn is transforming financial services using AI and aims to provide accessible financial advice to one billion people. The company is creating a reliable operating system for financial advisors, focusing on fast execution and continuous learning in AI.

Role Overview: Senior AI Engineer As a Senior AI Engineer, you will take full responsibility for key AI features that support the advisory platform. This role requires strong software engineering skills and a deep understanding of large language models (LLMs).

Key Responsibilities:

1. Feature Ownership and Design:

   • Manage the entire lifecycle of AI features, from concept to maintenance.
   • Create reliable AI systems with safety measures and thorough monitoring.

2. Quality Assurance:

   • Develop evaluation strategies to ensure high performance and reliability.
   • Collaborate with domain experts to translate financial requirements into actionable plans.

3. Engineering Standards:

   • Write high-quality Python code and participate in code reviews to uphold engineering standards.

Qualifications:

• Over 5 years of experience in engineering, with at least 3 years focused on impactful products involving generative AI.
• Expertise in building reliable AI systems and automated evaluation frameworks.
• Strong ownership skills and the ability to navigate uncertainty.
• Proficiency in Python and modern development practices.

Saturn's Core Values:

• Build trustworthy and explainable systems.
• Focus on continuous quality improvement.
• Use data and feedback to guide decisions.
• Take bold actions to solve complex financial challenges.
• Prioritize customer needs and ensure the success of users.

When I bought my home, a big bank offered me a 7% interest rate on my mortgage, while a local credit union had a much lower rate of 5.5% for the same mortgage. This surprised me until I learned that most mortgages are similar products bought by the government. The higher rate from the bank is mainly due to costs related to advertising and marketing. Credit unions, being non-profits, can offer lower rates because they don't spend as much on marketing, but many people are unaware of them.

To help others find better mortgage rates, I created a dashboard that compares rates from over 120 credit unions against national averages. The dashboard includes features like loan type filtering, a payment calculator, and links to credit unions' rate pages. Currently, the average credit union rate is 5.91%, compared to a 6.23% national average, which can save about $37,000 in interest on a $500,000 loan.

I built the dashboard using Python and Svelte, and it is free of ads and sign-ups. I'm open to questions about how it works or suggestions for more credit unions to include.

Ghostty is now supported by Hack Club, a registered non-profit organization, allowing it to operate as a charitable project. This partnership provides legal and financial oversight, ensuring that Ghostty remains free and open source.

The decision to become a non-profit stems from a desire for sustainable development and to prevent concerns about mismanagement or profit motives. A non-profit structure ensures that the project's mission and funds are protected for public benefit.

From a technical standpoint, nothing changes for Ghostty; its goals and licensing remain the same. However, it can now accept tax-deductible donations in the U.S., which opens up new funding opportunities. Financial transactions will be transparent, and the project's intellectual property is now owned by Hack Club.

Hack Club will receive 7% of donations to help cover administrative costs and support its broader mission. Additionally, a personal donation of $150,000 will further support Hack Club's initiatives.

Donations are encouraged to help sustain Ghostty's development. All funds will be used for the project's needs and community, ensuring transparency and public benefit. For more information, there's a dedicated page on Ghostty's website.

Microsoft is facing a complaint in the European Union from a non-profit organization called Eko. The complaint alleges that Microsoft illegally stored data on Palestinians used in Israeli military surveillance, potentially violating EU data protection laws. The Irish Data Protection Commission is currently reviewing the complaint, as Microsoft’s European headquarters are in Ireland.

Eko claims that Microsoft processed personal data unlawfully, enabling surveillance by the Israeli military. This follows a report stating that the Israeli Defense Forces used Microsoft’s Azure cloud service to store data from mass surveillance in Gaza and the West Bank. After the report, Microsoft restricted the Israeli military's access to some of its cloud services.

Microsoft responded by stating that customers own their data and that any transfer made by the Israeli military was their choice. The data in question was stored in Ireland and the Netherlands, which falls under the EU's strict General Data Protection Regulation (GDPR), aimed at protecting consumer data.

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In democracies, important policy decisions usually need majority support, requiring elites to gain public backing. Traditionally, elites influenced public opinion through education and media. However, advancements in AI have made it easier and cheaper to shape public views. This new technology allows elites to strategically adjust what people think about policies.

A model shows that when one elite group is in power, they tend to create more polarized opinions in society. As persuasion technology improves, this polarization increases. When two opposing elites take turns in power, the same technology can lead to more unified opinions, making it difficult for rivals to change public sentiment.

Overall, with cheaper persuasion tools, polarization becomes a tactic for governance rather than just a natural social outcome, which could affect the stability of democracies as AI continues to develop.

Summary:

Interoperability on the web improves user experiences across different browsers. There's ongoing work on MathML Core, a simplified version of MathML, to ensure consistent rendering of mathematical notation in all major browsers. This initiative, supported by the Sovereign Tech Fund, aims to align browser implementations and enhance features for better user experiences.

MathML was introduced in 1998 but faced challenges due to inconsistent browser support. MathML Core focuses on practical elements and aims for reliability. Key advancements include:

1. RTL Mirroring: Browsers will better render right-to-left scripts, particularly for Arabic, using character and glyph-level mirroring.
2. Math-Shift and Math-Depth: These features improve the appearance of complex formulas by adjusting spacing and size based on elements’ depth.
3. Rendering Unknown Elements: Some unsupported MathML elements will be displayed as generic elements to avoid display issues.
4. Font Family for Math: A standardized approach for selecting appropriate math fonts has been implemented to enhance visual quality.
5. Animation for Math Properties: New CSS specifications will allow animations for math-related properties.

Future plans involve refining operator dictionaries, improving spacing and stretching, and addressing inconsistencies in positioning elements across browsers. The work has received support from various contributors and organizations, highlighting the collaborative effort to make math on the web more consistent and accessible.

Summary of "Programming Peaked" by Samir Talwar

In 2025, programming has evolved significantly, with developers relying heavily on automation tools and complex dependencies. Instead of writing JavaScript themselves, programmers depend on autocorrect machines to generate code, often resulting in malicious software being included. Popular tools like VS Code require substantial resources and perform basic functions, while the coding and testing process has become cumbersome, taking hours or even days to merge and deploy code.

Reflecting on earlier days in 2010, Talwar recalls using Java, a more straightforward and reliable programming language with better development tools like Eclipse. Back then, coding was efficient, testing was collaborative, and deployment was manageable. He misses the simplicity and reliability of that era and expresses dissatisfaction with the current state of programming, attributing some of the decline to the rise of NPM and JavaScript frameworks like React.

Talwar longs for a return to more sensible programming practices and tools that work effectively for their intended purposes.

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Kea 3.0.0 is now available! This is an important release because it is the first Long-Term Support (LTS) version of Kea, which means it will receive updates and support for a longer time.

A security researcher discovered a major vulnerability in Filevine, a billion-dollar AI legal-tech platform, which exposed over 100,000 confidential files without any authentication needed. The researcher found this issue on October 27, 2025, and promptly reported it to Filevine's security team, who responded quickly and confirmed the problem was resolved by November 21, 2025.

While exploring Filevine’s site, the researcher used a technique called subdomain enumeration and discovered a subdomain that led to a loading page. By digging into the site’s code, they found a way to access a powerful admin token that could retrieve sensitive files from the law firm’s storage system, including documents protected by legal regulations.

The researcher emphasized the importance of data security, especially for companies handling sensitive information. They warned others to be cautious when sharing their data with AI platforms. After the article was published, they confirmed that the affected law firm was not Margolis PLLC.

The 8086 Microcode Browser is an online tool created by nand2mario to explore the microcode of the 8086 chip, based on extensive research and notes from the original microcode by Andrew Jenner. The browser presents each 21-bit micro-instruction in an easy-to-read format, with tooltips explaining each part. Users can click on jump targets and browse through around 300 documented 8086 instructions, which leads directly to their corresponding microcode.

Key points about the 8086 microcode include:

• Register IDs can have different meanings based on their context.
• The internal naming of registers is inconsistent due to the chip's design evolution.
• The instruction pointer (IP) actually points to the next address to prefetch, not the next instruction.
• Most arithmetic instructions use the same four micro-instructions, with a single micro-operation (XI) handling various arithmetic tasks based on specific bits.

Overall, the browser simplifies access to the complex behavior of the 8086 microcode for users interested in its workings.

Microsoft has significantly reduced its sales targets for AI agent products after many salespeople failed to meet their quotas. Despite declaring a new era for AI agents in May 2025, enterprise customers are not purchasing these tools at expected rates. AI agents are designed to handle complex tasks autonomously, but the technology has not proven reliable enough for high-stakes business use.

Sales figures show enterprises are hesitant to invest in these premium AI tools, with many employees preferring alternatives like ChatGPT over Microsoft’s Copilot. Microsoft has lowered sales growth targets for its Foundry product, which helps develop AI applications, due to poor sales results.

The issue appears to stem from the limitations of current AI technology, which can generate false outputs and struggle with novel problems. While Microsoft is heavily investing in AI infrastructure, the broader enterprise adoption is lagging. The company is building for a future that many enterprises are not yet ready to embrace.

Phind 3 is a new AI answer engine that creates interactive mini-apps to answer questions visually. These mini-apps are like beautiful webpages that include images, charts, and maps, and they update dynamically based on user interaction.

For example, you can search for one-bedroom apartments or recipes, and the results will allow you to customize your search or recipe in real-time. Unlike previous versions, Phind 3 can create its own tools and widgets on the fly, enabling it to handle complex queries that other tools like Phind 2 and ChatGPT cannot.

Phind 3 also excels at helping developers visualize concepts, such as algorithms, and can quickly create simulations, like a 3D Minecraft world or roller coaster. The goal is to provide a more personalized and interactive internet experience, blending AI capabilities with web interactivity.

Key technical advancements include:

• The ability for Phind 3 to create custom tools in real-time.
• Improved searching capabilities and a new deep research mode.
• New models that generate code more reliably and quickly than previous versions.

The team invites feedback and is looking to hire as they launch Phind 3.

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Proxmox Server Solutions GmbH has released version 1.0 of Proxmox Datacenter Manager, a tool designed to help manage complex and large Proxmox environments. This product provides a single, comprehensive view for overseeing and controlling Proxmox VE and Proxmox Backup Server.

Managing data centers that are spread across different locations can be challenging due to issues like lack of oversight and the need for manual operations. Proxmox Datacenter Manager addresses these problems by connecting different Proxmox nodes and clusters, making it easier to perform tasks and enhancing overall management capabilities.

Summary of Lie Groups

Lie groups are a special type of mathematical group that blend group theory, geometry, and linear algebra. They were developed by mathematician Marius Sophus Lie in the 1870s and are essential in physics and other fields, such as number theory and chemistry.

A group is a set of elements paired with an operation that combines them. For example, the symmetries of shapes like an equilateral triangle form a discrete group, while continuous symmetries, like those of a Frisbee's rotation, form a Lie group called SO(2). Lie groups can be visualized as smooth shapes called manifolds, which allow mathematicians to use geometric tools to study them.

Lie groups are particularly useful because they simplify complex problems. The concept of a "Lie algebra" helps approximate behaviors of these groups, making analysis easier. This is significant in physics, where continuous symmetries described by Lie groups are found in fundamental forces like gravity and electromagnetism.

Notably, mathematician Emmy Noether showed that every symmetry corresponds to a conservation law in physics, linking these mathematical concepts to real-world phenomena. Today, Lie groups are a crucial part of both mathematics and physics, helping to explain the symmetries that exist in nature.

The author created a simple monthly planner tool because they couldn't find one that met their needs. Key features include:

1. A clean monthly task view
2. No account required
3. No online storage or syncing
4. Offline functionality
5. Printable option
6. A minimal, distraction-free design

The tool, called Print Calendar, is straightforward and designed for those who want organization without unnecessary complexity.

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Summary of the ACME Protocol and Its Impact on Internet Security

The ACME protocol is a significant development in Internet security, particularly in automating the issuance of TLS certificates through Let's Encrypt, a free certificate authority established in 2015. This article reflects on ACME's history, creation, and evolution, highlighting the contributions of key developers.

Key Points:

1. Background of Internet Protocols: The Internet's success is rooted in open and standardized protocols that promote seamless communication among diverse systems. Initially, there was limited use of encryption, leaving data exposed until revelations about security vulnerabilities in 2013 prompted a need for better protections.

2. Emergence of Let's Encrypt: Let's Encrypt was created to address the barriers to using encryption, particularly the difficulty in obtaining and managing server certificates. It simplifies this process by offering free certificates and automating issuance through the ACME protocol.

3. Automation through ACME: ACME enables automated communication between clients and certificate authorities, allowing clients to prove control over a domain without manual intervention. This automation is crucial for Let's Encrypt's scalability and success.

4. Standardization and Open Source Development: ACME was developed openly, leading to its standardization by the IETF in 2019. This has fostered a diverse ecosystem of ACME clients, enhancing its adoption across the Internet.

5. Adoption Challenges and Innovations: Despite its success, the ACME protocol faces challenges in client adoption and updates. Recent developments, like the ARI extension, aim to improve certificate renewal processes, but widespread implementation requires ongoing support and client updates.

6. Future Prospects: The ACME protocol is expected to evolve further, with potential enhancements for flexibility and security in certificate management. Its growing popularity indicates a bright future for automated certificate acquisition across various platforms.

In conclusion, ACME has played a pivotal role in increasing HTTPS adoption, ultimately enhancing security for countless Internet users. It exemplifies the power of open protocols in driving innovation and cooperation within the tech community.

The author shares their experience of discussing their AI project, Wanderfugl, with a former Microsoft colleague, who reacted negatively not because of the product itself, but due to the broader frustrations with AI tools in the tech industry. The conversation revealed a pervasive sense of resentment and disillusionment among Seattle engineers, stemming from layoffs and the pressure to use ineffective AI tools.

In the past, there was an encouraging culture at Microsoft that promoted innovation, but this has deteriorated. Many engineers now feel demoralized and believe they lack the skills to work on AI projects, while companies have stopped fostering innovation. This negative mindset not only affects the engineers but also stifles new ideas in Seattle's tech community. In contrast, cities like San Francisco still maintain a belief in the potential for change, driving innovation. The author concludes that despite Seattle's talent, the local culture inhibits progress.

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The text discusses the challenges and solutions related to syncing large Gradle projects in IntelliJ IDEA, particularly for Kotlin codebases with millions of lines of code and thousands of subprojects.

Key points include:

1. Sync Performance Issues: Syncing large projects can take an excessive amount of time—up to 24.7 minutes in some cases—due to the need to configure builds and download dependencies. This is detrimental to developer productivity.

2. Target Sync Improvements: The goal is to reduce average sync times to about 15 seconds, significantly enhancing developer efficiency.

3. Understanding IDE Sync: Gradle Sync is necessary for the IDE to access project information for features like code navigation and autocomplete. However, it can be slow, primarily because it processes builds serially and requires downloading dependencies.

4. Use of Telemetry: Telemetry data helped track performance improvements. The backend team reduced sync times from over 4 minutes to about 90 seconds, saving considerable developer time.

5. Benchmarking and Interventions: By using benchmarks, the team tested various interventions to improve sync speeds, including:

   • Parallel Model Fetching: Reduced sync time by 57%.
   • Spotlight Tool: Cut sync time by 82% by limiting the number of projects configured.
   • Intransitive Sync: Further reduced sync time by 94% by optimizing dependency resolution.
   • Artifact Swap: Achieved a 97% reduction in sync time by minimizing the number of projects loaded.
   • Pre-fetching Dependencies: Improved overall build times by downloading dependencies before they're needed.

6. Future Plans: The team aims to clean up the dependency graph and project structure, and adopt new Gradle features to further enhance performance.

Overall, the article emphasizes the importance of optimizing Gradle sync processes to boost developer productivity and outlines successful strategies to achieve these improvements.

Bun has been acquired by Anthropic, which plans to use Bun as the foundation for its AI coding products, including Claude Code and Claude Agent SDK.

What Remains the Same:

• Bun will remain open-source and MIT-licensed.
• It will continue to be actively maintained by the same team.
• Development will still happen publicly on GitHub.
• Bun's focus will still be on improving JavaScript tooling and compatibility with Node.js.

What Will Change:

• Bun will help make AI coding tools faster and smaller.
• Development of Bun will proceed more quickly.
• Anthropic has a strong incentive to ensure Bun works well, as it is directly tied to their products.

Background: Bun started as a project to improve JavaScript coding speed and efficiency, evolving from a personal project to a well-supported runtime and bundler. It gained significant attention and funding over time.

Future Direction: Joining Anthropic allows Bun to have long-term stability and access to resources while continuing to focus on making JavaScript development faster. The team aims to shape Bun's development to align with the rapidly evolving landscape of AI coding tools.

Overall, Bun's acquisition by Anthropic is seen as a positive step that will enhance its capabilities while maintaining its core values and community involvement.

The text discusses an update to the MinIO project, specifically regarding its README file. Here are the key points:

• The project is now in "maintenance mode."
• It will not accept new features, enhancements, or pull requests.
• Only critical security fixes may be considered on a case-by-case basis.
• Existing issues and pull requests will not be actively reviewed.
• Community support will continue on a best-effort basis via Slack.
• For enterprise support and actively maintained versions, users are directed to MinIO AIStor.

In summary, MinIO is currently not taking on new changes and is focused solely on maintenance.

Summary:

A critical security vulnerability has been identified in certain React packages and frameworks like Next.js that use them. This issue is tracked as CVE-2025-55182 and affects versions of React from 19.0.0 to 19.2.0 and Next.js versions 15.x and 16.x.

Key Points:

• Affected Versions: React (19.0.0 to 19.2.0) and Next.js (15.x, 16.x).
• Patched Versions: Users should upgrade to specific patched versions of React and Next.js listed in the document.
• Severity: The vulnerability has a critical severity score of 10.0 on the CVSS scale.
• Action Required: Users of affected versions should upgrade immediately to avoid potential security risks.

Nature of the Vulnerability: It involves the deserialization of untrusted data, which could lead to unauthorized access or manipulation of data.

Users are advised to monitor and update their systems accordingly to ensure security.

Summary: Vanilla CSS is All You Need

In April 2024, Jason Zimdars from 37signals shared how their team successfully builds web applications using only vanilla CSS, without any preprocessors or build tools. Over the past 18 months, they continued this approach with two new products, Writebook and Fizzy, and I explored their CSS evolution.

Key points include:

1. No Build Tools: All three products—Campfire, Writebook, and Fizzy—are built without any build tools, totaling nearly 14,000 lines of CSS in a flat structure, making it easy to manage.

2. Modern CSS Features: They leverage modern CSS capabilities like native custom properties, nesting, and the :has() selector, which reduces the need for JavaScript.

3. Color System: They use OKLCH color values for a consistent color foundation across products, making dark mode implementation simple and efficient.

4. Spacing System: They apply character-based units (ch) for spacing, making it more content-driven and responsive.

5. Utility Classes: While they do utilize utility classes, these are used for specific adjustments rather than as the basis for styling, keeping HTML more readable.

6. Innovative Techniques: They incorporate advanced CSS techniques like CSS masks for loading spinners and dialog animations, which traditionally required JavaScript.

7. Evolution Over Time: Each product release has improved upon the last, integrating more sophisticated CSS features.

The article encourages developers to reconsider their reliance on tools like Sass or Tailwind, suggesting that for many projects, simpler, native CSS solutions can be just as effective. The approach taken by 37signals serves as an inspiration for those looking to streamline their CSS practices.

The author discusses the concept of "Chain of Thought" (COT) in large language models (LLMs) like GPT, which allows these models to reason through problems step by step. While COT has proven effective and has expanded the capabilities of LLMs, the author argues that this method is an inefficient hack for expressing reasoning.

In a debate with colleagues, the author expresses skepticism about LLMs achieving human-like intelligence, emphasizing that their reasoning is still limited. For example, the author illustrates that it takes the same computational effort for an LLM to perform simple tasks (like picking numbers) as it does for complex tasks, suggesting that LLMs either overthink or underthink.

The author acknowledges that COT allows LLMs to handle more complex tasks by generating a sequence of reasoning steps, but they argue that reasoning through language is inherently slow and inefficient. They believe true reasoning can occur without language, using examples from both animals and humans who can plan and solve problems without verbal thought.

Ultimately, the author concludes that while COT enhances LLMs, it is not the ultimate solution for achieving true intelligence in AI, and that reasoning should ideally occur in a more efficient, non-verbal space rather than relying solely on language.

Mirror Bridge Overview

Mirror Bridge is a library that uses C++26 reflection to automatically create bindings for C++ classes, making them usable in Python, JavaScript, and Lua without needing extra code. However, it's still experimental and relies on a specific version of the C++ compiler that supports these features.

Key Features:

• One Codebase, Multiple Languages: You can write your C++ class once and use it across Python, JavaScript, and Lua.
• Automatic Binding: The library generates all necessary bindings at compile-time, meaning there’s no runtime overhead.
• Supported Features: It can handle data members, methods (including overloaded and variadic ones), constructors, smart pointers, nested classes, containers, exceptions, and enums.

Getting Started:

1. Set Up Environment: Use a provided script to start a Docker container with the necessary compiler.
2. Run Tests: Verify the setup by executing tests included in the library.
3. Example Usage: Bind classes to a module with a single command.

Two Binding Approaches:

1. Auto-Discovery: Automatically generates bindings for all classes in a specified directory, ideal for quick prototyping.
2. Config File: Offers explicit control over which classes to bind, suitable for production use.

Performance: Mirror Bridge is significantly faster than other similar tools like pybind11, both in compile time and runtime, due to its use of reflection for binding generation.

Current Limitations:

• It has some restrictions, such as handling class instances as parameters and working with template classes.

Future Plans: The project aims to refine its capabilities, such as supporting reference parameters and additional programming languages.

Contribution and License: The project is open for contributions and is licensed under the Apache License 2.0.

Overall, Mirror Bridge simplifies the process of using C++ classes in multiple programming environments, enhancing efficiency and reducing boilerplate code.

Fresh is a new text editor designed to make terminal editing easier and more efficient, without the usual complexity. Here are the key points:

• Purpose: Fresh aims to be a fast, resource-efficient TUI (Text User Interface) editor that offers the features of modern GUI editors, such as a command palette, mouse support, and language server protocol (LSP) integration.

• Core Principles:

  • Ease-of-Use: Fresh is simple to use, with standard keybindings and no complex modes.
  • Efficiency: It loads only the necessary parts of large files to save memory, using a lazy-loading technique in Rust.
  • Extensibility: Plugins can be created in TypeScript, making it accessible for many developers.

• Performance: Fresh is designed to handle large files efficiently. For example, it loads a 2GB log file in about 600 milliseconds, using around 36 MB of memory. In comparison, other popular editors take significantly longer and use much more memory.

• Development: The development process involved careful planning and extensive testing to ensure quality and performance. The project is open-source under the GPL-2 license and welcomes feedback and contributions.

For more information, visit the Fresh website or the GitHub repository.

No summary available.

3D Gaussian Splatting (3DGS) is effective for creating realistic 3D scenes quickly, but it struggles with generating large or infinite terrains from just one image. This paper presents a solution using a tile-based system inspired by Wang Tiles. Each tile contains a local set of Gaussians that fit together smoothly, allowing for diverse and continuous terrain generation. The authors also offer rendering improvements specifically designed for these tiles, enabling fast rendering of large 3D terrains in real time.

The text discusses the comparison between the current AI datacenter boom and the telecoms crash of the early 2000s, arguing that the situations are fundamentally different.

Key Points:

1. Telecoms Crash Overview:

   • In the late 1990s, telecom companies invested about $2 trillion in infrastructure, expecting internet traffic to double every few months, but it only doubled annually. By 2002, 97.3% of the installed fiber optic capacity was unused.
   • This overestimation of demand led to massive overbuilding, exacerbated by rapid technological advancements that increased capacity without needing new infrastructure.

2. Current AI Infrastructure:

   • Unlike telecoms, improvements in GPU performance are slowing down. While older technologies saw exponential gains, current developments are hitting physical limits, making it harder to improve efficiency.
   • The power consumption of GPUs is increasing significantly, requiring datacenters to adapt their cooling systems.

3. Demand for AI:

   • Demand for AI services is increasing, potentially beyond current estimates. Users of AI agents consume much more data than traditional chatbots, indicating a rapidly growing demand curve.

4. Datacenter Investments:

   • Investment in datacenters has surged, with significant spending projected in the coming years. However, the increase is not as drastic as some reports suggest, as much of it is just rebranding existing infrastructure.

5. Challenges in Forecasting:

   • Predicting future demand is difficult because datacenters take 2-3 years to build, and companies must make large investments based on uncertain future AI adoption scenarios.
   • Overbuilding could lead to excess capacity, but unlike telecoms, this infrastructure would still be usable, just underutilized.

6. Comparison of Risks:

   • The telecoms experienced a crash due to obsolete infrastructure and overestimation of demand. In contrast, AI datacenters may face a slower growth in demand rather than a complete failure of demand.
   • Possible risks include slower-than-expected adoption of AI agents, financial issues due to debt financing, or breakthroughs in efficiency.

7. Conclusion:

   • While there could be short-term corrections, the underlying dynamics of AI infrastructure are different from telecoms. The current situation may lead to temporary excess capacity rather than permanent waste, as the technology retains value longer due to slower efficiency improvements.

Overall, while similarities exist, the text argues that the current AI datacenter landscape is not poised for a crash like the telecoms crash, although challenges remain.

The text discusses the vulnerabilities and issues related to Flock Safety's cameras, which are marketed as "license plate readers" but have much broader surveillance capabilities.

Key points include:

• Flock cameras can be easily hacked, allowing unauthorized access to their systems and data.
• They are capable of recording more than just license plates, raising concerns about privacy and potential misuse of recorded footage.
• Research indicates that high levels of surveillance can negatively impact mental health and social interactions, creating an environment of distrust.
• In many places, including Sweden, surveillance through technology like license plate scanners is becoming normalized, often without significant public debate or concern.

Overall, the text argues that these cameras pose significant risks to privacy and societal well-being while being marketed under the guise of safety.

The working paper "Captain Gains on Capitol Hill" by Shang-Jin Wei and Yifan Zhou analyzes stock trading by U.S. lawmakers. It finds that members of Congress who become leaders perform similarly to their peers before gaining leadership but significantly outperform them by 47 percentage points annually afterward. This enhanced performance is due to two main factors:

1. Political Influence: Leaders see better returns when their party controls Congress, sell stocks before regulatory actions, and buy stocks from companies that receive government contracts and favorable support for legislation.

2. Corporate Access: Their trades often predict upcoming corporate news, leading to higher returns on stocks from donor-owned or home-state companies.

The study utilizes detailed transaction-level data on congressional stock trades to support these findings.

The Zig Software Foundation has decided to leave GitHub, claiming the platform has declined in quality. This decision was influenced by ongoing issues with a bug in GitHub's Actions feature, which caused excessive CPU usage and unaddressed problems that persisted for an extended time. Andrew Kelly, the foundation's president, criticized GitHub's focus on AI at the expense of technical reliability, particularly mentioning a bug that caused jobs to run randomly and led to significant delays in their continuous integration (CI) system.

The bug originated from a code change in February 2022, which replaced a standard sleep command with a problematic script. This script has been known to cause processes to run indefinitely, severely affecting the performance of CI systems. Although a fix was implemented in August 2025, the related bug report remained open for months, pointing to a lack of responsiveness from GitHub.

In light of these issues, Zig will now use Codeberg, a nonprofit alternative that has seen a rise in support. Other developers, like Rodrigo Arias Mallo from the Dillo browser project, are also considering leaving GitHub for similar reasons, citing concerns about the platform's usability and its heavy reliance on AI.

Overall, the dissatisfaction with GitHub's management and performance is leading some software projects to seek alternatives.

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The project began as an experiment to create a game using Deno and its SQLite driver. After sharing an early version online and receiving positive feedback, I decided to refine it and release version 1.0 on Steam. The game, called Microlandia, is inspired by SimCity Classic and includes real-life data and statistics. It also addresses topics often overlooked in other games, such as homelessness. I plan to keep updating and improving the game over time.

Summary of zmx Tool

Overview: zmx is a tool designed for session persistence in terminal processes, allowing users to manage shell sessions easily without the complexity of features like windows or splits found in tmux.

Key Features:

• Maintains terminal shell sessions (pty processes).
• Users can attach and detach from sessions without killing them.
• Supports native terminal scrolling.
• Multiple clients can connect to a single session.
• Reattaching to a session restores the previous state and output.
• Compatible with macOS and Linux (not Windows).

Installation:

1. Requires Zig version 0.15.
2. Clone the repository and build it using the command:

   zig build -Doptimize=ReleaseSafe --prefix ~/.local
   

3. Ensure ~/.local/bin is added to your PATH.

Usage:

• Detach from a session using Ctrl+\.
• Commands:
  • zmx attach <name>: Create or attach to a session.
  • zmx detach: Detach all clients from the current session.
  • zmx list: List active sessions.
  • zmx kill <name>: Terminate a session and all clients.
  • zmx help: Display help information.

Examples:

• zmx attach dev: Start a shell session.
• zmx attach dev nvim .: Start nvim in a persistent session.

Shell Prompt: There's no indication of being in a zmx session directly, but an environment variable ZMX_SESSION shows the session name. Users are encouraged to modify their prompts to display this variable.

Philosophy: zmx aims to avoid redundancy by leaving window management to the OS's window manager, focusing solely on session persistence. This approach allows better utilization of terminal features.

SSH Workflow: zmx integrates seamlessly with SSH, allowing users to open multiple terminal sessions without needing tmux panes. The tool supports quick connections and automatic reconnections using autossh.

Logging and Configuration:

• Logs are stored in /tmp/zmx/logs/.
• Currently, there's no configurability for settings, as the developer wants to keep it simple.

Future Plans:

• Address bugs and improve features, including a binary distribution.

Underlying Technology: zmx uses the libghostty-vt library to manage terminal state and output, ensuring users can pick up exactly where they left off in their sessions.

Inspiration: The project draws inspiration from other tools like shpool and abduco, which also focus on session persistence without the additional complexity of window management.

The U.S. Nuclear Regulatory Commission (NRC) is an agency that ensures the safety and security of nuclear materials while promoting the use of nuclear power for societal benefits. It issues licenses, conducts inspections, and prepares for emergency responses. The NRC is recognized as a leader in nuclear regulation and is working with other agencies to improve efficiency based on new reforms.

Recently, the NRC completed a safety review for the Kemmerer Power Station in Wyoming, proposed by TerraPower. The review found no safety issues that would stop the construction permit from being issued. The NRC's goal is to make licensing decisions for new reactors within 18 months. TerraPower's application for the power station, which will use advanced sodium-cooled reactor technology, was accepted, and the plant is designed to produce 345 megawatts of electricity, with a boost capability of up to 500 megawatts.

Next steps include the NRC preparing to present its safety evaluation and environmental impact statement to the Commission, which will then decide whether to issue the construction permit. If approved, TerraPower will need to apply for a separate operating license before the plant can start operating. More details on new reactor licensing can be found on the NRC's website.

Business Insider shares interesting and innovative stories that people want to learn about.

No summary available.

The Valkey project involves a diverse group of organizations working together to support and develop an open, community-driven database solution. Participants are committed to ensuring the project's long-term success for everyone's benefit. The project has gained steady adoption, indicating strong industry interest.

Key participants include:

• Percona: Provides operational support and consulting for Valkey databases.
• Alibaba Cloud: Offers a wide range of cloud services and is a leading public cloud provider in Asia-Pacific.
• Aiven: Delivers a managed NoSQL database service based on Valkey.
• UpCloud: Offers a fully managed Valkey service that ensures reliable and scalable database management.
• Amazon Web Services: Provides ElastiCache, a Valkey-compatible service optimized for high performance and security.
• Google Cloud: Features Memorystore, a managed in-memory database service for Valkey.
• Ericsson: A historical telecommunications company that provides software and infrastructure solutions.
• Oracle Cloud Infrastructure: Offers fast caching solutions for Valkey.
• NetApp Instaclustr: Combines automated features and expert support for Valkey.
• ByteDance: Known for popular products like TikTok, focuses on creativity and content connection.
• k0rdent: Offers Valkey as a service template for their application catalog.
• Momento: Provides a zero-operations service for Valkey that is optimized for performance.
• Heroku (Salesforce): Features a scalable Key-Value Store powered by Valkey.
• DigitalOcean: Offers a managed caching service for Valkey.

Overall, the project is poised for growth as more companies join in.

No summary available.

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No summary available.

No summary available.

Summary of Apple Desktop Bus Protocol

The Apple Desktop Bus (ADB) is a serial connection used to connect multiple input devices like keyboards and mice to a computer. It operates on a single bus system and is designed for responsive user input, with a typical transmission speed of 10 kb/s. The key points of the ADB protocol include:

• Device Identification: Each device on the bus has a unique address. Devices can have up to four 16-bit registers to store data and settings.
• Host Commands: The host (computer) communicates with devices using four main commands: Talk (read data), Listen (write data), SendReset (reset devices), and Flush (clear registers).
• Initialization and Setup: The bus is initialized by sending a reset signal, followed by polling devices to assign unique addresses and prevent communication collisions.
• Communication: The host sends commands structured with bits indicating device addresses and command codes. Devices respond with data or acknowledge commands based on their register settings.
• Registers: Devices have a main register (Register 0) for input data, and additional registers for device-specific data and settings. For example, keyboards can indicate key press events and LED statuses through their registers.
• Timings: The protocol has specific timing requirements for sending bits and signals, ensuring proper communication between the host and devices.

In essence, the ADB protocol allows for efficient communication between a host computer and multiple input devices, making it a significant part of Apple's earlier hardware architecture.

Summary of Mirror Bridge: Making Python Bindings Easy

Mirror Bridge is a tool designed to simplify the process of creating Python bindings for C++ code without the usual complexities.

Key Points:

• Problem: A function in your Python code is slow and could be faster if written in C++. Traditionally, this requires rewriting the function in C++ and creating boilerplate code to call it from Python.

• Solution with Mirror Bridge: Instead of extensive rewriting, you can write your C++ code, run a single command, and it automatically generates the bindings needed for Python. For example, you can create a Vec3 class in C++ and easily use it in Python with no extra binding code.

• Performance Benchmark: When comparing the performance of a simple dot product function in Python versus C++ using Mirror Bridge, the C++ version is faster. However, the overhead of calling C++ from Python can reduce the expected speedup, making it more efficient to minimize cross-language calls.

• Real Use Case: For performance-critical operations, it's better to move entire loops or functions to C++ rather than calling small functions repeatedly. This way, the initial overhead is paid once, yielding significant speed improvements.

• C++26 Reflection: Mirror Bridge uses a new feature in C++26 called static reflection. This allows it to automatically discover classes and methods in C++ at compile-time, eliminating the need for manual binding code.

• Advantages of Mirror Bridge:

  • Reduces the boilerplate code required to create Python bindings.
  • Maintains the performance benefits of C++ while leveraging Python's ease of use for other parts of the codebase.
  • Quickly integrates C++ performance into existing Python projects.

• Getting Started: Users can clone the Mirror Bridge repository, run a setup command in a Docker container, and test examples provided in the project.

In conclusion, Mirror Bridge streamlines the process of integrating C++ performance into Python applications, allowing developers to optimize critical parts of their code efficiently.

Security Advisory Summary: CVE-2025-66478

A serious security vulnerability (CVE-2025-66478) has been found in the React Server Components (RSC) protocol, which could allow attackers to execute code remotely. This issue affects certain versions of Next.js applications using the App Router.

Key Points:

• Severity: The vulnerability has a CVSS score of 10.0, indicating it's critical.
• Affected Versions: Next.js versions 15.x, 16.x, and specific canary releases (14.3.0-canary.77 and newer) are impacted. However, Next.js 13.x, stable 14.x, Pages Router applications, and Edge Runtime are not affected.
• Fixed Versions: Users should upgrade to the following patched versions:
  • 15.0.5, 15.1.9, 15.2.6, 15.3.6, 15.4.8, 15.5.7, or 16.0.7.
• Action Required: Users must update to the latest patched version of Next.js for their branch. If on a canary release, downgrade to the latest stable 14.x version.
• Discovery: The vulnerability was discovered by Lachlan Davidson.

For more details, visit the Next.js blog.

No summary available.

A "hiring" link was posted by a company planning to buy profitable SaaS companies, but they noted there would be "no support staff answering tickets." This raises concerns for paying customers, who might want to switch vendors if the company acquires theirs. The business approach seems focused on cutting costs and raising prices to increase profits, showing little concern for customers and employees. The statement "If you think we're wrong, don't apply" suggests a lack of openness to differing opinions. This raises questions about the ethics of Y Combinator, the startup accelerator involved.

The Schubfach algorithm is a new method for converting binary floating-point numbers into their shortest decimal string representation, ensuring accuracy and efficiency. Key features include:

1. Non-Iterative Search: The algorithm uses the pigeonhole principle to quickly determine the correct decimal exponent for the shortest representation, eliminating the need for iterative searching.

2. Fixed-Precision Arithmetic: It replaces complex multi-precision calculations with simpler fixed-precision arithmetic, making it faster while still maintaining accuracy.

3. Rounding Interval: The algorithm defines a rounding interval around the floating-point number, allowing it to find the shortest decimal that rounds back to the original number.

4. C++ Implementation: The Schubfach algorithm can be implemented in about 200 lines of C++ code. The process involves extracting IEEE-754 components, normalizing the representation, calculating the decimal exponent, and selecting the appropriate decimal candidates.

5. Performance: The basic implementation of Schubfach performs competitively against other algorithms, being more efficient than traditional methods like sprintf and comparable to advanced algorithms like Ryu and Dragonbox.

Overall, Schubfach represents a significant advance in the field of floating-point to decimal conversions, combining simplicity in code with high performance. The full implementation is available on GitHub.

No summary available.

Summary of Differences Between IndyCar and Formula 1 Cars

IndyCar and Formula 1 (F1) are both types of race cars, but they have many differences. Here are the key points:

1. Purpose: IndyCar focuses more on driver skill and competes on various types of tracks, including ovals, while F1 emphasizes technical innovation and is primarily a constructors' championship.

2. Chassis and Weight:

   • IndyCar uses a standardized chassis made by Dallara, while F1 teams build their own cars.
   • An IndyCar is generally heavier but more robust, weighing around 1,700 pounds without the driver, compared to F1's 1,759 pounds.

3. Engines:

   • Both use hybrid turbo engines, but IndyCar engines are less powerful (650-700 hp) than F1 engines (800-850 hp).
   • IndyCar has a lower RPM limit (12,000) compared to F1's (15,000).

4. Downforce:

   • IndyCars generate downforce mainly from the car's underside, making them easier to handle but slower in fast corners. F1 cars produce more downforce and are quicker in those situations.

5. Tires:

   • IndyCar uses Firestone tires, which are harder and more durable, while F1 uses softer, faster Pirelli tires that provide better grip.

6. Brakes:

   • IndyCar brakes are designed for durability, lasting multiple races, while F1 brakes are more high-performance but need frequent replacements.

7. Development:

   • F1 teams have more freedom to innovate and develop their cars, while IndyCar is more of a spec series with limited development opportunities.

8. Lap Times:

   • F1 cars are typically faster than IndyCars on traditional circuits, particularly those with many corners requiring high downforce.

Overall, while both series share some similarities, their design philosophies, performance characteristics, and racing styles differ significantly.

No summary available.

No summary available.

On July 29, 2025, a strong 8.8 magnitude earthquake struck the Kuril-Kamchatka region, triggering a large tsunami across the Pacific Ocean. NASA and the French space agency’s SWOT satellite captured high-resolution images of the tsunami, revealing a complex wave pattern rather than a simple crest. This finding suggests that current tsunami forecasting models need updates, especially regarding how we understand wave dispersion.

Traditionally, DART buoys have monitored ocean tsunamis but only provide data from specific points. In contrast, SWOT can cover a wide area, allowing scientists to see how the tsunami changes over space and time. This data challenges the idea that large tsunamis behave as non-dispersive waves, indicating that dispersion may influence how tsunami energy reaches the coast.

The study also revealed inconsistencies in timing predictions from traditional models, prompting researchers to refine their understanding of the earthquake's impact. Combining data from satellites and buoys can improve tsunami forecasting, which is crucial for timely warnings and safety.

Overall, the SWOT satellite's observations provide new insights into tsunami behavior and emphasize the need for more sophisticated forecasting systems that integrate various data sources.

No summary available.

SWI-Prolog 10.0.0 is now available for download and is mostly compatible with version 9.2.9. Here are the main updates:

1. Core Changes: The 32-bit Prolog data model has been removed, and the system now primarily uses a 64-bit model, with support for 32-bit Windows discontinued.

2. GUI Toolkit Update: The GUI toolkit (xpce) has been significantly updated to use SDL3, Cairo, and Pango, allowing better compatibility across platforms, including native support for MacOS and Wayland on Linux.

3. Command Line Interface: The GNU readline editor has been replaced with an improved BSD libedit interface, offering consistent command line editing across all platforms.

4. Development Tools: There are enhancements in the development tools, including better use of colors and hyperlinks for improved readability, as well as dark theme support.

5. WASM Improvements: The WebAssembly (WASM) version now supports multiple asynchronous tasks and has seen significant performance improvements.

6. Performance Enhancements: Various optimizations have been made, leading to speed improvements of up to 30% on some systems.

7. Library Distribution: Libraries are now distributed in both .pl and compiled .qlf formats, with options to exclude .pl files for smaller deployments.

8. JSON Package: JSON support has been moved to a new package that includes additional libraries for JSON Schema and RPC.

9. Code Modernization: Updates have been made to the C codebase to comply with modern standards, improving compatibility and performance.

10. General Fixes and Enhancements: Numerous bug fixes, enhancements, and compatibility adjustments have been made throughout the system.

Overall, this version focuses on improving performance, enhancing the user interface, and ensuring better cross-platform compatibility.

Summary:

US vaccine advisers are meeting this week to discuss the use of aluminium as an adjuvant in childhood vaccines, which helps strengthen immune responses. Aluminium has been safely used in vaccines for over a century, and research shows its benefits outweigh risks. However, health secretary Robert F. Kennedy Jr. has raised concerns linking aluminium to autism and allergies, despite studies disproving these claims.

The advisers, chosen by Kennedy, have not yet decided whether to vote on the issue, but removing aluminium could make some essential vaccines ineffective. Researchers are also exploring new adjuvants to improve vaccines for diseases like tuberculosis and HIV.

Summary:

The author is developing an isometric game and experiences a buzzing noise in their headphones when playing it, while other games like Fortnite and Overwatch do not cause this issue. They suspect the problem is related to the power supply or GPU workload since the buzzing stops when rendering is disabled.

Upon investigation, they find that the buzzing occurs during the process of downloading a "picking texture" from the GPU to the CPU, which is used to determine what the player clicks on. Disabling the download reduces the buzzing noise. They realize that repeatedly hitting the GPU with heavy tasks and then pausing it for the texture transfer may be causing the interference.

To solve the problem, the author modifies the game to only download the portion of the picking texture under the mouse instead of the entire texture each frame. This change eliminates the buzzing and improves performance.

A new report reveals that the growth of "energy-hungry" data centres is delaying the construction of new homes in London, which is facing a housing crisis. Data centres require a lot of electricity to operate, and in some areas, the electricity grid has reached full capacity, causing delays in housing projects.

In 2022, the Greater London Authority (GLA) found that some housing developments in Ealing, Hillingdon, and Hounslow might have to wait until 2037 to connect to the electricity grid. Although short-term solutions have been found, several projects are still delayed.

The report highlights the need for better long-term planning for energy supply, especially since data centre energy demand is expected to increase significantly in the coming years. Currently, there are about 447 data centres in the UK, with more than half planned for London.

Local officials are calling for faster improvements to the energy grid and adequate investment to support housing development. Recommendations include creating a separate planning category for data centres to improve energy management. The Mayor of London is considering these recommendations in future planning efforts.

The text appears to be a list of tags and categories related to a blog or website. It includes various topics such as AI, coding, games, and personal experiences like a trip to New Zealand. The site also features a section about the author and a way to contact them. The tags help organize the content for easier navigation.

Summary of "foreign-dlopen"

The text discusses the challenges of using the dlopen() function with statically linked binaries. Normally, static linking is used to make binaries smaller by excluding unnecessary code, but using dlopen() to load shared libraries complicates this because those libraries often rely on a dynamic C library (libc). This creates a need to either include a large libc in the static binary or face the downside of dynamic linking, which defeats the purpose of static linking.

The author suggests that if you want to use dlopen() with a static binary, it requires extra effort and sacrifices the benefits of static linking. Therefore, it's generally recommended to avoid using dlopen() with static binaries.

However, there’s a different approach called the "Foreign Function Interface (FFI) model." This model allows a statically linked application to dynamically load external shared libraries without worrying about which libc they use. It enables the application to remain independent while still allowing dynamic loading when necessary.

The text then introduces a proof-of-concept solution involving a custom ELF loader. This loader can manage the complexities of initializing the dynamic loader and allows for the loading of shared libraries. The implementation includes building a helper executable that interacts with the target system's libraries.

Finally, instructions are provided for building and running this custom loader, along with credits to the individuals who contributed to its development.

Summary of Common Lisp and WebAssembly

Overview
The integration of Common Lisp with WebAssembly (WASM) represents a new opportunity for the Common Lisp ecosystem. This tutorial outlines the steps to build WECL (Web Embeddable Common Lisp) and cross-compile Common Lisp programs to run in WASM environments.

Building ECL

1. Clone ECL Repository: Start by cloning the ECL repository and building its host version.
2. Install Emscripten SDK: This step is essential for enabling cross-compilation to the WASM target.
3. Cross-Compile ECL: Configure and compile ECL for the WASM target, ensuring to manage dependencies carefully.

Running Common Lisp in WASM

• In the Browser: Host the ECL web server and access it via a browser.
• In Node.js: Running ECL scripts is simpler but has limitations with I/O operations.

Building WECL

• Clone the WECL repository and copy the necessary artifacts from ECL.
• Build and serve the application.
• Connect to Emacs for an interactive development experience.

User Programs and Cross-Compilation

• Recent improvements allow users to cross-compile their Lisp programs easily.
• Use specific commands to compile files and create static libraries.

Extending ASDF

• A new extension to ASDF has been proposed to facilitate cross-compiling entire systems and their dependencies into static libraries.
• This involves creating new operations for handling object files and compiling static libraries.

Conclusion
The project is supported by the NGI0 Commons Fund and aims to enhance the capabilities of Common Lisp in web environments. Future improvements will focus on compiling shared libraries and executables.

Proton has launched Proton Sheets, a new encrypted spreadsheet application that aims to provide a privacy-focused alternative to Google Sheets and Microsoft Excel. Key features of Proton Sheets include:

• End-to-End Encryption: All user data, including filenames and metadata, is encrypted by default, ensuring that no one, not even Proton, can access the contents.
• Privacy Concerns: The tool addresses worries about data collection by Big Tech and the use of private data for AI training.
• Functionality: Proton Sheets supports common spreadsheet functions, data visualization, real-time collaboration, and allows users to import existing CSV and XLS files, which are encrypted.
• Access Controls: Users can manage who can view or edit their files.

Proton's head of product emphasized the importance of data sovereignty and privacy, stating that many traditional tools exploit user data. Proton Sheets is designed to give users control over their data without hidden surveillance. The application is available on web browsers and within the Proton Drive app, which also includes other encrypted productivity tools like email and documents. More details can be found on Proton's website.

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The text discusses solving a programming challenge from the Advent of Code (AoC) by applying concepts from a programming course focused on Structured Programming, particularly the methods of Edsger W. Dijkstra.

Key points include:

1. Structured Programming: The approach emphasizes defining post-conditions and using formal methods to verify programs, which is different from typical programming practices.

2. Post-Condition: The author defines a post-condition for calculating the maximum combined voltage of two batteries from an array, using a specific syntax called Quantified Notation.

3. Domain Model: The author builds a model involving functions and theorems that help in program construction, defining how to compute values based on varying lengths of input arrays.

4. Program Loop: The program is structured to have invariants (conditions that remain true), variants (measures of remaining work), and guards (conditions to exit the loop). The loop processes the data to achieve the desired output.

5. Implementation: The solution is coded in the Gleam programming language, adapting imperative logic to a functional context. The author also shares insights on optimizing the code and acknowledges the challenges of translating formal methods into practical programming.

6. Final Thoughts: The author appreciates the learning experience and acknowledges the effort in applying rigorous methods, highlighting the balance between formal correctness and practical efficiency in programming.

Overall, the text is a reflection on applying formal programming concepts to solve a coding challenge, emphasizing the structured approach's benefits and challenges.

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The author argues against the increasing reliance on generative AI tools in user research, emphasizing the importance of human-centered research conducted by skilled professionals. They express concern that using AI for research tasks diminishes the unique value that researchers bring and leads to average results that lack innovation.

The text critiques the trend of organizations prioritizing efficiency over quality, suggesting that this undermines the role of user researchers. The author believes that while AI can assist in certain tasks, it cannot replace the human insights and connections that are crucial in research. They highlight that the push for AI tools often serves the interests of companies looking to cut costs rather than genuinely improve research quality.

The author also warns against the marketing of AI tools that claim to democratize research, arguing that this creates a false narrative about the necessity of skilled researchers. They emphasize the need for ethical standards in research and encourage researchers to advocate for the value of their expertise.

Ultimately, the message is a call to maintain the integrity of user research by resisting the temptation to offload critical tasks to AI, and to recognize the unique contributions that human researchers make to understanding users.

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I created a tool called Piragi to simplify the process of setting up RAG (Retrieval-Augmented Generation) systems. With Piragi, you can easily access various documents and sources without needing to handle complex configurations.

Key Features:

• Supports many formats: PDF, Word, Excel, Markdown, code, URLs, images, and audio.
• Automatically refreshes data from sources in the background, ensuring quick responses.
• Provides citations for every answer, showing where the information comes from.
• Offers advanced search options, including hybrid search and cross-encoder reranking.
• Uses smart strategies for breaking down information into manageable chunks.
• Compatible with OpenAI models, allowing you to switch to different models easily.

Examples of Use:

• You can filter results by file type, like asking about contracts specifically in PDF format.
• You can enable advanced search features in the setup.
• You can also configure it to use OpenAI's GPT models if preferred.

Installation: You can install Piragi using pip with the command pip install piragi. More information is available on its PyPI page.

Feedback is welcome regarding any missing features or improvements that could enhance its usefulness for projects.

Today's special is a $9.99 dish chosen by the chef. It includes a mix of seafood like shrimp, clams, mussels, and scallops, served with pasta and a sauce. The sauce options are usually a light, garlicky tomato sauce, a creamy tomato sauce, or a white wine sauce, with some variations like a creamy or spicy Cajun sauce.