The text discusses a proposal to remove all mentions of XSLT (Extensible Stylesheet Language Transformations) from the HTML specification on GitHub. A user named mfreed7 has submitted a pull request (PR) to merge changes that eliminate XSLT references, which has sparked a debate among community members.

Key points include:

• The PR aims to remove XSLT references entirely, citing a decline in its usage since it was introduced in 1999.
• Some community members express concern that removing XSLT could break older websites that rely on it, particularly those that haven't been updated in years.
• There are worries that users would be left with raw, unformatted XML instead of readable content if XSLT support is removed.
• Some participants argue that XSLT is still valuable for various applications, including transforming XML data for viewing as HTML.
• The discussion has become heated, leading to the conversation being locked for further comments.

Overall, the proposal is controversial, with differing opinions on whether removing XSLT is a good idea for the web platform's future.

Summary:

Phil Eaton's book club is reading "The Art of Multiprocessor Programming, 2nd Edition," a well-regarded textbook on concurrent programming. Despite its merits, the author criticizes the book for not covering the futex, a crucial concurrency primitive in modern programming. The futex, short for "fast user-space mutex," significantly improves performance in systems with many threads compared to older methods like System V IPC locks.

The futex allows threads to efficiently wait for a lock without constantly consuming CPU resources, as it separates the locking and waiting processes. This design enhances performance by reducing unnecessary system calls and delays. The author explains the futex's operations—wait and wake—and outlines how to implement basic mutexes using futexes.

Eaton discusses the limitations of traditional spin locks and emphasizes the importance of modern mutex implementations that utilize futexes to handle contention effectively. He proposes various mutex designs, including unsafe and recursive mutexes, and highlights the challenges of managing ownership and deadlocks.

The author concludes that the textbook lacks a thorough exploration of essential modern concurrency concepts, especially the futex, and criticizes it for not addressing key issues in concurrent programming. He urges CS educators to incorporate contemporary practices and knowledge in their teaching.

Summary: Building a Custom Telescope Mount

A hobbyist in astrophotography transitioned from using a commercial tracker to creating a custom telescope mount that employs harmonic drives and an ESP32 microcontroller. Initially, they captured images of the Orion Nebula using a standard setup and a €200 tracker but faced challenges with polar alignment and finding targets.

Intrigued by custom PCB design after watching a YouTube video, they decided to apply their new skills to the telescope mount project. They researched harmonic drives, motors, and open-source firmware, ultimately designing a mount with a robust housing and precise motor control.

Key components included:

• Motors: A servo motor for the Right Ascension axis and a stepper motor for the Declination axis, both using harmonic drives for accurate tracking.
• Microcontroller: An ESP32-S3 for controlling the motors and managing power delivery through USB-C.
• PCB Design: The custom PCB had a semi-circular layout to fit the housing, featuring power management and communication capabilities.

After resolving initial issues with WiFi stability during operation, they successfully integrated the OnStepX firmware, allowing for effective motor control.

The project cost around €1,700, but the builder gained valuable skills and satisfaction from creating a functional telescope mount, achieving tracking precision of 1-2 arcseconds. The experience enhanced their modeling skills and deepened their understanding of astrophotography. Overall, the endeavor was seen as worthwhile despite the costs, providing a greater connection to the craft.

No summary available.

Aria and Tony, co-founders of Parachute, are creating a system to help hospitals safely evaluate and monitor clinical AI tools. With over 2,000 AI tools introduced last year, hospitals need to ensure these tools meet new regulations regarding safety and fairness. However, many hospital IT teams struggle to keep up with the demands of testing and monitoring these tools.

To address this issue, they developed Parachute, which Columbia University uses to track AI models. Parachute evaluates vendors based on hospital needs, identifies compliance risks before pilots start, and conducts automated tests to uncover potential issues with AI models. After deployment, it continuously monitors the models for accuracy and safety, providing alerts for any problems. All activities are recorded in a secure audit trail for easy reporting to regulators.

They invite feedback from anyone with hospital experience interested in safely deploying AI.

Uplift AI, founded by Zaid, Muhammad, and Hammad, focuses on creating voice models for underserved languages, specifically Urdu, Sindhi, and Balochi. In countries like Pakistan, where 42% of adults are illiterate, many people struggle with reading, affecting various aspects of life, from healthcare to education. Voice AI can help address these challenges.

Initially a side project, Uplift AI gained traction after developing a WhatsApp Urdu Voice Bot that quickly attracted 800 users. The founders realized that text interfaces often don't work for many people, prompting them to pursue this project full-time.

They face challenges in building effective voice models due to the lack of reliable data sources and transcription accuracy in these languages. To overcome this, they develop their own data labeling tools and source their data directly, which helps create better models with less data.

Currently, Uplift AI offers text-to-speech APIs for Urdu, Sindhi, and Balochi, with Khan Academy using their technology to dub videos in Urdu. While their models are strong for informational tasks, they still need improvement for more expressive uses, like poetry.

They are launching their models publicly to gather feedback and better understand the needs surrounding underserved languages. They welcome insights from others with experience in these languages.

No summary available.

No summary available.

Summary of Candle Flame Oscillations as a Clock

Candles have been designed for centuries to minimize flickering, but when three candles are grouped together, they start to flicker and oscillate in unison. This oscillation occurs at a stable frequency of about 9.9 Hz, influenced mainly by gravity and the diameter of the flames.

To detect this frequency, a wire is suspended in the flame to sense changes in capacitance caused by ionized gases. This frequency can then be converted into a 1 Hz clock signal.

Candle flames behave unpredictably, but the synchronized behavior of grouped candles allows for a reliable oscillation frequency. Using a phototransistor or capacitive sensing techniques, the flickering can be measured and processed to create a consistent timing source.

In experiments, a microcontroller was used to analyze the flame's oscillations and convert them into a usable clock signal, resulting in a visual output where an LED blinks in sync with the flickering candles.

This work demonstrates how to transform the natural oscillation of candle flames into a functional timing device, highlighting the intriguing balance between candle design and the chaotic behavior of flames.

No summary available.

Summary of Preventing Domain Resurrection Attacks on PyPI

PyPI has implemented new measures to enhance account security by checking for expired domains to prevent domain resurrection attacks. These attacks occur when someone purchases an expired domain to take control of accounts via password resets.

Since June 2025, PyPI has unverified over 1,800 email addresses linked to expired domains, making it harder for attackers to gain unauthorized access. Accounts are linked to verified email addresses, which are crucial for account recovery and password resets.

When a domain expires, it can be bought by an attacker who could then reset passwords for accounts tied to that domain. To combat this, PyPI now regularly checks the status of domains and will unverify email addresses associated with domains in redemption periods.

Users are advised to add a second verified email address from a different domain to their accounts and enable Two-Factor Authentication (2FA) on all linked services to improve security.

While these changes are not foolproof, they significantly reduce the chances of account takeovers due to expired domains.

Summary:

I am a software engineer looking for new job opportunities. My skills include software engineering, embedded programming, hardware design, and robotics. If you need someone with my expertise, let's collaborate!

OpenMower Project:

• OpenMower is a DIY smart lawn mowing robot aimed at improving current robotic mowers, which often operate inefficiently.
• The project has developed a high-quality robotic mower using parts from an affordable model (YardForce Classic 500).
• Goals:
  • Fully autonomous mowing
  • Safety features (like emergency stop)
  • No need for perimeter wires
  • Cost-effective
  • Open-source for community sharing
  • Aesthetically pleasing
  • Obstacle detection and weather responsiveness

Project Status:

• The basic mowing function is now operational, including automatic return to the docking station when the battery is low.
• Users interested in building their own mower are encouraged to ask questions in the Discord community.

Hardware and Software:

• The hardware setup includes a stable mainboard and motor controllers, with plans for further improvements.
• The software is nearly complete but still needs obstacle avoidance features.

Getting Involved:

• Users can build their own OpenMower and contribute to documentation.
• Check the OpenMower website for instructions on how to start.

Compatibility:

• The project is based on the YardForce Classic 500, and similar models may also be compatible. A list of compatible mowers is being compiled.

Disclaimer and License:

• Users should ensure they comply with local laws and understand that the project is shared without warranty. It is licensed for educational use but not for commercial sale.

The author describes their experience using Vim to manage and manipulate financial data with Beancount, a text-based accounting system. They have been using Vim for a long time but feel like a novice, primarily relying on basic keyboard movements rather than mastering more advanced features.

Recently, they began tracking their finances more seriously, leading to a collection of transaction data in various formats from different institutions. They encountered issues with internal transfers that made it challenging to balance transactions in Beancount. The author considered several methods to address this, like ignoring internal transfers or writing scripts, but preferred using Vim for its efficiency and familiarity.

They explain a step-by-step approach for using Vim to balance transactions from different CSV files. This involves opening files side by side, navigating between them, and editing entries to create balanced transactions. The author highlights the use of Vim's commands and features to streamline this process, eventually creating macros to automate repetitive tasks and improve efficiency.

In summary, the author effectively combines their financial data manipulation needs with their Vim skills, creating a workflow that enhances their bookkeeping experience while allowing them to practice and improve their Vim proficiency.

No summary available.

No summary available.

EloqKV Overview

EloqKV is a powerful distributed database that works similarly to Redis but offers enhanced features. It supports high-performance operations, ACID transactions, scalability, and tiered storage, making it suitable for modern applications, especially in the AI sector.

Key Features:

• High Performance: Multi-threaded architecture allows up to 1.6 million queries per second, outperforming Redis.
• Transaction Support: EloqKV provides robust transaction management with ACID compliance, unlike Redis which has limitations.
• Data Durability: Data is safely stored with Write Ahead Logging (WAL) and can be offloaded to disk, reducing memory costs.
• Client Compatibility: Uses the same Redis client, making it easy to switch from Redis to EloqKV.

Quick Start: EloqKV can be quickly set up using Docker or by building from source. Instructions are available for installation and verification.

Architecture: EloqKV is built on a decoupled design, featuring a frontend compatible with Redis, a core service for transactions, and a separate service for logging and storage management.

Benchmarks: EloqKV shows superior performance in both caching and persistent transactional modes compared to Redis and other alternatives.

Licensing: EloqKV is available under two licenses: GPLv2 or AGPLv3.

Overall, EloqKV is designed for developers seeking a high-performance, reliable database solution that retains the user-friendly nature of Redis.

No summary available.

Summary of Guile Swayer Project

Guile Swayer is a tool for customizing the Sway/i3 window managers using the Guile programming language. The creator, an Emacs user who previously worked with StumpWM, believes that window managers should allow for extensive scripting to meet individual workflow needs.

Key Points:

1. Transition to Wayland: The author switched to Wayland and found Sway more stable than other options, like Hyprland.

2. Features:

   • Testing: Users can test the project using provided example scripts.
   • Installation: Users must add the Guile Swayer package to their GUILE_LOAD_PATH. Installation involves standard commands like autoreconf, configure, make, and sudo make install.

3. Functionality:

   • Query and Control: Users can retrieve information about Sway, execute commands, and set keybindings to run Guile code.
   • Event Subscription: Users can subscribe to events (like workspace changes) and trigger actions based on those events.

4. Documentation: A wiki is available for further information, and examples are provided for setting up and configuring Sway with Guile.

5. Workflow Enhancements:

   • Workspace Organization: Supports a grid layout for workspaces, allowing easier navigation.
   • Workspace Groups: Enables grouping of workspaces across multiple monitors for task management.
   • Keybinding Management: Features like "which-key" help users discover keybindings and manage them through logical submaps.

6. Experimental Features: Plans for more layout options exist, but they are not yet fully implemented.

Overall, Guile Swayer aims to provide customizable and programmable control over the Sway window manager for improved user workflows.

Braden, the creator of Whispering, an open-source speech-to-text app, shares his motivation for building it. He was frustrated with closed-source transcription tools that didn't protect his data. Whispering is designed to be open-source, local-first, and transparent, ensuring that your audio stays on your device and is handled securely.

He uses Whispering extensively and believes it can compete with paid tools, offering features like hands-free operation and customizable AI options. Braden is passionate about creating open-source software that prioritizes user privacy and interoperability.

Whispering is part of a larger project called Epicenter, which aims to develop a suite of local-first software tools that work together transparently. After finishing college, he joined Y Combinator (YC) and plans to use the funding to support the project and its contributors.

Braden welcomes feedback and encourages people to support Whispering by starring it on GitHub and joining the community on Discord. The project is open for anyone to contribute to or modify.

No summary available.

No summary available.

No summary available.

Summary: The Life and Death of London’s Crystal Palace

The Crystal Palace, designed by Joseph Paxton, was an iconic building that captivated many from its opening during the Great Exhibition in 1851 until its destruction by fire. The Great Exhibition attracted over six million visitors and showcased the building's impressive glass and iron design, which inspired many photographers.

After the exhibition, the Crystal Palace was relocated to Sydenham Hill and reopened in 1854, with photography playing a crucial role in documenting its transition and exhibits. However, the building faced challenges, including a significant fire in 1866 that damaged parts of it. Despite financial difficulties and another fire in 1936 that led to its ultimate destruction, the site remained a subject of interest for photographers.

Today, the Historic England Archive holds numerous photographs of the Crystal Palace, capturing its history from the daguerreotype era to modern times. The area continues to attract interest, with remnants of the original structures still present.

Summary of Tiny-TPU Overview

Tiny-TPU is a simplified version of Google's Tensor Processing Unit (TPU), designed for easier access to chip accelerator technology.

Key Components:

1. Processing Element (PE): Executes multiplication and addition operations each cycle, passing data to the next PE.
2. Systolic Array: A grid of PEs where input data moves horizontally and partial sums move vertically. Input matrices are rotated and staggered for computation.
3. Vector Processing Unit (VPU): Handles element-wise operations like adding bias and applying activation functions after data flows through the systolic array.
4. Unified Buffer (UB): Dual-port memory for storing intermediate data such as matrices and activation values, allowing efficient data access.
5. Control Unit: Manages instruction execution with a 94-bit instruction set that controls various subsystems.

Instruction Set: The instruction bus is organized into fields that dictate data control and processing, including read/write operations and data pathways.

Future Plans: Development of a compiler for the instruction set and scaling the TPU to larger sizes.

Setup Instructions:

• For MacOS and Ubuntu, specific installations for development tools like cocotb, iverilog, and gtkwave are provided.
• Instructions for adding new modules to the project are outlined, including creating files and updating the Makefile.

Motivation: The project aims to democratize access to hardware design knowledge, enabling users with varying expertise to learn and contribute to chip accelerator technology.

This overview emphasizes the architecture and functionality of Tiny-TPU while outlining the motivation behind its development.

No summary available.

The author created an app to help manage their Instagram use, preventing long scrolling sessions while still enjoying social features. Many existing screen time apps block the entire app, but the author wanted to maintain access to certain functions. After blocking Instagram Reels, they found themselves getting distracted by YouTube Shorts and Reddit, so they expanded their app to include those as well.

To further limit scrolling, the app now shows a pop-up when users scroll too much, prompting them to pause and reflect. The app was developed using Android Studio with Kotlin and Jetpack Compose, utilizing an Accessibility Service to monitor scrolling. However, it currently only works on Android and cannot be implemented on iOS. The author is interested in feedback on their app.

The author criticizes Python's list comprehensions for their poor usability, arguing that programming languages should allow code to be valid as it is typed. They explain that in Python, editors struggle to provide useful suggestions because variable types are not declared until later in the code, which makes coding less efficient and user-friendly.

In contrast, the author praises Rust's syntax, where variable declarations happen as you type, allowing editors to offer immediate guidance on methods available for those variables. This leads to a smoother coding experience, enabling the concept of "progressive disclosure," where users encounter complexity only as needed.

The text also highlights issues with discoverability in other languages like C and Python, where programmers often have to guess function names or rely on memory instead of receiving helpful suggestions. The author emphasizes that code should be readable and valid as it is constructed to enhance the programming experience and effectiveness. Overall, the message is that better design in programming languages and APIs can greatly improve usability and efficiency for developers.

No summary available.

Welcome to the FFmpeg School of Assembly Language! You're starting an exciting journey into programming. This course will teach you how assembly language works in FFmpeg and help you understand your computer better.

What You Need to Know:

• You should know C, especially pointers. If you're not familiar with C, read "The C Programming Language" book.
• Basic high school math skills (like understanding scalars, vectors, and operations like addition and multiplication) are required.

Lessons:

• The course includes lessons and assignments (which will be uploaded later). By the end, you will be able to contribute to FFmpeg.
• If you have questions, you can join the Discord server: https://discord.com/invite/Ks5MhUhqfB

Translations Available:

• French
• Spanish

No summary available.

Job Summary:

• Clean and organize raw data to ensure high quality.
• Analyze large datasets to find issues like duplicates and outliers.
• Manage third-party contractors for data collection.
• Deliver data to customers promptly.
• Work with the Engineering team to enhance data processing systems.
• Work in the downtown San Francisco office four days a week (Monday to Thursday).

Qualifications:

• Preferably has internship experience in management consulting, investment banking, or roles in early-stage B2B startups.
• Skills needed: Excel and Data Analysis.
• Must be organized, a clear communicator, proactive, and resourceful.

Benefits:

• Lunch provided at the office.
• Unlimited Paid Time Off (PTO).
• 401k plan.
• Company-paid health, dental, and vision insurance.
• Salary range: $80,000 - $100,000 with equity options (0.1% - 0.5%).

The UK has dropped its requirement for Apple to provide backdoor access to its iCloud encryption, allowing the company to potentially restore its Advanced Data Protection (ADP) service in the UK. This decision followed pressure from the US, with officials asserting that the UK's demand infringed on American citizens' privacy rights. Earlier this year, Apple had suspended new sign-ups for its ADP service in the UK due to the secret order issued by the UK government. The situation developed after US officials reviewed whether the UK's demand violated the CLOUD Act, which protects data privacy between the two nations. The UK Home Office has not commented on these developments.

Max and Peyton from The Interface have created a tool that originally aimed to simplify AI agent development but evolved into a simulation game for AI agents. Their product allows users to interact with AI agents in a 3D environment, making the experience more engaging than traditional text-based interactions.

Key features include:

• A desktop app that lets humans and AI agents share 3D rooms.
• Agents can observe and act in real time, with customizable rules and interactions.
• Users can design their own rooms and share them with the community.
• The game supports various scenarios, such as cooperative games and social engineering tests.

Their vision is to create an open-ended simulation game where users can build and interact with various agents, leading to unique experiences each time. The platform is currently free to use, and users can start with credits to run agents. They invite feedback on new ideas and scenarios for testing.

Summary of the Pico-286 Project

The Pico-286 project is an initiative to recreate a classic PC experience from the late 80s and early 90s using the Raspberry Pi Pico microcontroller. It serves as an educational tool for understanding retro computing and system emulation.

Key Features:

• CPU Emulation: Emulates Intel's 8086/8088/80186/286 processors.
• Cross-platform Compatibility: Can run on Raspberry Pi Pico, Windows, and Linux.
• Peripheral Support: Emulates various retro devices and sound capabilities.
• Display Modes: Supports multiple text and graphics modes typical of early PCs.
• Sound Emulation: Recreates sounds from classic sound cards.

Supported Emulations:

• CPUs: Intel 8086/8088/80186/286.
• Sound Cards: Includes emulations for PC Speaker, Sound Blaster, MIDI interfaces, and others.
• Graphics Cards: Emulates CGA, VGA, Hercules, and Tandy graphics with various display resolutions.

Storage:

• Supports virtual disk images for DOS drives.
• Allows direct access to the host filesystem for file exchange.

Hardware Configuration:

• Designed for Raspberry Pi Pico with components like PS/2 keyboards, SD cards, and VGA/HDMI outputs.
• Minimum and recommended configurations are provided for optimal performance.

Development and Building:

• Requires specific software tools and configurations for building on different platforms.
• Detailed instructions are available for setting up the environment and compiling the emulator.

Troubleshooting:

Common issues and solutions are provided for building errors, disk image problems, and hardware compatibility.

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

The paper titled "The Rising Returns to R&D: Ideas Are Not Getting Harder to Find" explores the relationship between research and development (R&D) investment and productivity in the manufacturing sector in the U.S. from 1976 to 2018. Despite increased R&D spending, overall productivity growth has stagnated. The authors, Yoshiki Ando, James E. Bessen, and Xiupeng Wang, find that the effectiveness of R&D in generating productive ideas has improved, but these ideas often lead to rapid obsolescence of existing technologies. As a result, while R&D may be yielding more innovative ideas, it does not necessarily translate to higher productivity growth due to the transient nature of these innovations. The findings suggest that the market dynamics of technological competition are changing, making it crucial to understand these factors in evaluating R&D's impact on productivity.

Team Update - August 17, 2025

The team is still active despite facing increased challenges. We are improving our security to protect our mission of preserving humanity's legacy.

Since starting in 2022, we have saved tens of millions of books and articles from being lost due to disasters and other threats, thanks to our supporters who help with sharing files.

We have completed major projects, including gathering millions of files from sources like IA Controlled Digital Lending and HathiTrust, and creating the largest collections of book metadata. This helps us identify and prioritize rare books that need saving.

We appreciate our volunteers for their hard work and have formed valuable partnerships with LibGen forks like STC/Nexus and Z-Library, gaining millions of additional files.

However, one LibGen fork has disappeared, which is disappointing. A new site, WeLib, has mirrored our collection but has not contributed back to the community, so we advise caution in using them.

We have many exciting projects ahead, with hundreds of terabytes of new collections ready to be processed. We welcome anyone interested in helping to check our Volunteering and Donation pages. We operate on a small budget, so any support is appreciated.

Let’s keep pushing forward!

• Anna and the team

No summary available.

Summary of IRC and the Lawnmower Project

What is IRC?

• IRC stands for Internet Relay Chat, a popular chat protocol created in the late 1980s.
• Despite its age, IRC is still in use today by many people and is easy to develop software for.
• The author has a long history with IRC, starting from childhood, where he connected with people worldwide and developed programming skills.

Genesis of the Project

• The project began humorously with a conversation about fixing a lawnmower.
• Friends suggested linking an IRC server to the lawnmower as a joke, which evolved into a real project.

Building the Lawnmower Server

• The author, a software engineer, decided to turn the joke into reality after encouragement from friends.
• He ordered parts, including a Raspberry Pi, to create the server.
• The project involved programming a bot, creating a WiFi survey tool, and monitoring system performance.

Hardware and Software Development

• The author faced challenges, such as managing CPU usage and optimizing the display driver for efficiency.
• After a successful initial setup, he worked on hardware integration, including mounting components and ensuring proper power supply.
• He designed functions to track mowing statistics and broadcast updates on IRC.

Final Setup and Community Engagement

• The lawnmower server was successfully built and connected to IRC, allowing others to join and see its status.
• The project included fun elements, like streaming mowing sessions and sharing progress with friends.
• The author invites others to join the IRC community and share in the experience.

Overall, the project is a blend of humor, creativity, and technical skills, showcasing how a simple conversation can lead to an innovative and engaging endeavor.

Ben from Reality Defender announced the launch of their public API and SDK, allowing easy access to their deepfake detection technology. This technology helps identify AI-generated media in audio, video, and images, and is aimed at developers, security teams, and businesses. Users can integrate this detection with just two lines of code, and the first 50 scans per month are free.

Reality Defender's tools are designed for various applications, such as identity verification and moderation. They have been tested with major clients like banks and governments, ensuring reliability. The API is user-friendly and aims to be a trusted resource like Stripe or Twilio for protecting content integrity.

The company is responsive to user feedback and encourages developers facing challenges with AI-generated content to reach out. Users can start using the API easily, either through integration with Zoom or Teams or by sending files for scanning.

A historic church in northern Sweden, Kiruna Kyrka, is being moved 5 kilometers to make way for the expansion of a large underground iron ore mine. Inaugurated in 1912, the church weighs 672 tons and is designed to resemble a Sámi hut. The move, which started after eight years of planning and is expected to cost around 500 million kronor (£39 million), will take two days at a speed of half a kilometer per hour.

The operation is part of a larger project to relocate the entire town of Kiruna due to ground instability caused by mining activities. Over 10,000 people, including the Swedish king, are expected to watch the move, which is being broadcasted live.

The church, along with 22 other cultural buildings, will be relocated as part of this historic effort. Critics, including some Sámi people, have raised concerns about the impact on land and reindeer herding. The church is set to reopen at its new location by the end of next year, while the entire town's relocation is expected to be finished by 2035.

No summary available.

Summary:

Ben Werdmuller shares his experience with web browsers, explaining why he switched from Arc to Zen Browser. He initially liked Arc for its user-friendly features, but the company shifted focus to AI, leading to the release of Dia, which he found lacking in power user features. Dia's reliance on contextual AI raised privacy concerns for him.

After exploring alternatives, Werdmuller found Firefox to be outdated and clunky, prompting him to rediscover Zen Browser. Zen offers a streamlined interface similar to Arc, with useful customization options and keyboard shortcuts. It includes a new profile manager that allows easy switching between work and personal contexts.

Despite some quirks in the browser's functionality, Werdmuller now considers Zen Browser his default choice and believes it outperforms other options. He suggests that Mozilla should absorb the Zen team to enhance the Firefox experience for everyday users.

A group wanted to challenge themselves by building a toy TPU (Tensor Processing Unit) to prove they could accomplish difficult tasks. They chose this project because creating a chip for machine learning (ML) seemed exciting, and there weren't many open-source resources for ML accelerators that handled both training and inference.

None of the members had professional experience in hardware design, which made the project even more intriguing. They adopted a design philosophy of trying out simple, "hacky" ideas first before seeking help. This approach allowed them to reinvent the TPU rather than just copy it, leading to original solutions and insights.

The group also wanted to avoid relying on AI tools for coding, aiming to develop a problem-solving mindset that they could carry into future projects. They focused on learning deep learning, hardware design, and algorithms by visualizing concepts, which influenced their explanations on their website, tinytpu.com. It's important to note that their project is not an exact copy of the TPU, but rather their own version of it.

Typechecker Zoo Summary

Typechecker Zoo is a personal project to create simple versions of successful static type systems from the past 50 years. The goal is to build small programming language implementations and core type-checking algorithms, starting from simple ones and progressing to modern systems.

The project will be implemented in Rust, chosen for its good parser support and ease of installation. This is a fun side project, not a formal study, and focuses on practical coding rather than deep theoretical resources. For a more academic approach, readers are directed to textbooks like TAPL and PFPL.

The project includes four key implementations:

1. Algorithm W: A basic polymorphic lambda calculus with 775 lines of code.
2. System F: A second-order lambda calculus with parametric polymorphism, comprising 1,090 lines of code.
3. System F-ω: A more complex implementation with higher-kinded types and various features, totaling 3,196 lines of code.
4. Calculus of Constructions: A dependent type checker with a countable hierarchy, containing 6,000 lines of code.

The project is open-source under the MIT license, and contributions are welcome, especially for fixing typos.

No summary available.

The article titled "A Case for Protecting Computer Games With SGX" by Erick Bauman and Zhiqiang Lin discusses the security challenges faced by game developers, particularly regarding cheating and unauthorized copying of games. It introduces Intel's Software Guard Extensions (SGX), a technology designed to enhance the security and privacy of software. The authors propose a framework and design principles for using SGX to protect the integrity and confidentiality of game code and data. They demonstrate the application of this framework on a real-world computer game, showing how SGX can effectively safeguard games against common security threats.

No summary available.

AI researchers recently discovered that their long-held beliefs about how learning works were incorrect, particularly regarding the effectiveness of large neural networks. Traditionally, it was thought that if a model was too big, it would simply memorize data rather than learn from it. This idea was based on a 300-year-old principle known as the bias-variance tradeoff, which indicated that simpler models underfit and overly complex models overfit.

However, a group of researchers in 2019 challenged this belief by continuing to scale up neural networks despite warnings. They found that instead of failing, larger models could actually improve performance after an initial phase of overfitting. This unexpected trend, called "double descent," contradicted conventional wisdom.

Their findings led to a significant shift in AI research, with major companies investing heavily in larger models. The reason behind this success was clarified through the "lottery ticket hypothesis," which revealed that large networks contain smaller, effective subnetworks (or "winning tickets") that can solve problems efficiently. This means that scaling up models allows them to explore many potential solutions, increasing the chances of finding effective ones.

The implications extend beyond AI; they suggest that intelligence is about finding simple solutions within complex systems rather than just memorizing information. This discovery highlights the importance of testing established theories, as breakthroughs often come from challenging conventional wisdom. While scaling has proven effective, it also raises questions about future limits in AI development.

No summary available.

No summary available.

Lab-grown salmon is now available at Kann, a restaurant in Portland, Oregon, after the FDA approved it for sale. This salmon, produced by Wildtype, is the first cultured fish to enter the alternative protein market. The FDA confirmed that it is safe to eat, allowing Wildtype to promote it effectively.

Wildtype's salmon is made by taking living cells from Pacific salmon and growing them in a lab to create a product that resembles traditional salmon in taste and nutrition, including healthy omega fatty acids. It avoids common risks found in wild fish, such as mercury and parasites.

Currently, lab-grown meat is more expensive and mostly available at high-end restaurants. Wildtype's salmon will be featured at Kann on Thursdays in June and daily starting in July, with plans to expand to more restaurants soon.

While the lab-grown meat industry shows promise, it is still small and faces regulatory challenges in some states. Wildtype is only the fourth company to have its cultivated products approved by the FDA.

Summary:

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Summary of NASA Technical Note D-14SS: The N-Body Code

This technical note discusses the N-Body Code, a general FORTRAN program designed to solve various space mechanics problems using numerical methods. The code can account for the effects of up to eight gravitational bodies, as well as factors like oblateness (the flattening of celestial bodies), aerodynamic forces, propulsive thrust, and rotation.

Key Points:

1. Purpose: The N-Body Code is created for numerical integration in space mechanics, allowing for the simulation of the motion of objects influenced by multiple forces.

2. Features:

   • Supports up to eight celestial bodies.
   • Considers gravitational fields, thrust from propulsion systems, and aerodynamic forces.
   • Designed to run on IBM computers using FORTRAN, making it adaptable to other systems that support this programming language.

3. Integration Methods:

   • Users can choose between integrating in rectangular coordinates or using orbital elements.
   • The program includes a compact ephemeris to track the positions and velocities of celestial bodies.

4. Problem Definition: The code calculates the trajectory of an object (e.g., a spacecraft) based on initial conditions and various forces acting on it.

5. Force Considerations:

   • Gravitational forces from the origin body and other celestial bodies.
   • Propulsive thrust defined by direction and magnitude.
   • Aerodynamic forces, including lift and drag.

6. Numerical Techniques: The document describes different numerical integration methods, indicating that the choice of method depends on the problem's specifics.

7. Appendices: The note includes several appendices with details on symbols, vector resolutions, transformation equations, and examples of code usage.

In summary, the N-Body Code provides a flexible tool for simulating complex space mechanics scenarios, accounting for various forces and enabling detailed trajectory analysis.

The text provides an overview of a discussion or forum post that is 3 days old. It has 26 comments and involves 17 participants. Users can download the content, and there are options to add or remove it from favorites. The list of participants is provided, including names and email addresses.

The text discusses how to enhance the security of systemd services on Linux, particularly in a homelab setting. Here are the key points:

1. Systemd Overview: systemd is a powerful tool for managing services in Linux but often defaults to user-friendly settings rather than secure ones.

2. Hardening Services: The document provides options to harden systemd services to improve security and limit potential damage if compromised. It emphasizes that each service may need unique configurations.

3. Analyzing Security: To assess the security of a service, users can run the command sudo systemd-analyze security [service_name], which provides insights into the service's security posture.

4. Configuration Changes: Security settings can be adjusted in the service's unit file located in /etc/systemd/system/. It's recommended to use override files for cleaner management.

5. Security Options: A list of security options is available, such as:

   • ProtectSystem: Makes the file system read-only.
   • PrivateTmp: Isolates temporary files.
   • RestrictAddressFamilies: Limits socket types for security.
   • MemoryDenyWriteExecute: Prevents executable memory allocation.

6. Troubleshooting: If a service fails after applying security changes, it likely needs some permissions or capabilities restored.

7. Prioritize External Services: Focus on securing services exposed to the internet first, like web servers and SSH.

8. Example Configuration: The author provides a sample configuration for a Traefik reverse proxy to illustrate the security settings in action.

9. Conclusion: While not every service needs extensive hardening, applying these practices where possible can greatly enhance security in Linux environments.

Overall, the document serves as a guide for Linux administrators to improve the security of their systemd services, emphasizing practical changes and careful testing.

Summary:

T-Mobile has lost an appeal to overturn a $92 million fine for selling customer location data without consent. A federal appeals court upheld the Federal Communications Commission's (FCC) ruling that T-Mobile, along with AT&T and Verizon, illegally shared location information and failed to protect it from unauthorized access.

The fines stemmed from actions dating back to 2018, where T-Mobile and its subsidiary Sprint sold location data to third-party companies without ensuring they had customer consent. The court emphasized that every cell phone acts as a tracking device, providing detailed location histories of users.

T-Mobile and Sprint argued that they did not violate any laws and claimed the FCC had overstepped its authority. However, the court found no merit in these arguments and stated that the companies had waived their right to a jury trial by voluntarily paying the fines.

Both AT&T and Verizon, fined $57.3 million and $46.9 million respectively, are also contesting their penalties in separate appeals. The FCC's decision was made after the carriers continued selling location data even after acknowledging security flaws in their systems.

Walkie-Textie Wireless Communicator Summary

The Walkie-Textie is a portable device that allows users to send and receive text messages using LoRa wireless technology. It has a 12-key keypad and an OLED display, making it useful for areas without mobile coverage, such as during camping or hiking.

Key Features:

• LoRa Technology: Works well for short text messages, with a range of up to 3 miles in urban areas and 10 miles in rural areas.
• User Interface: The device uses a multi-tap method for typing messages on a 12-key keypad. Messages can be up to 20 characters long, and users can delete characters or send messages easily.
• Alerts: It has an audio alert and a visual indicator for incoming messages.
• Display and Battery: The OLED display shows message content, signal strength, and battery level. It can be powered by a LiPo battery or AAA batteries.
• Circuit Design: Built around a low-cost LoRa module and microcontroller, with a simple circuit design that can be assembled with basic soldering skills.

History and Development: The Walkie-Textie project began with a different LoRa module but was revised for simplicity. The device construction involves a custom PCB design, with various components sourced from suppliers.

Usage Notes:

• Messages are sent and received without confirmation, so users should manually confirm receipt.
• Privacy can be enhanced by using a unique SyncWord for each device or encrypting messages.

In summary, the Walkie-Textie is a fun and practical communication tool for outdoor activities where traditional mobile networks are unavailable.

The article discusses Fred Freeman, an American illustrator known for his cutaway illustrations from the 1930s. While researching for the book "LOOK INSIDE," the author Samuel Velasco came across many talented artists whose work was not included in the final publication. One of these artists is Freeman, who created detailed cutaway illustrations for various topics, especially for Collier's magazine between 1952 and 1954. His work showcased futuristic concepts in space exploration, including spacecraft and space stations, inspired by NASA's Wernher von Braun. The author expresses disappointment over the lack of information about Freeman and invites readers to share any additional details about him.

Taylor spent a year as a Fractional Head of Product and found that finding good clients was the toughest part of the job. To help others transition from traditional jobs to independent work, Taylor created Fractional Jobs. This platform connects skilled professionals with vetted clients. Currently, there are 9 open engineering positions available, including roles for Fractional CTOs, AI engineers, full-stack developers, a staff frontend developer, and a mobile developer.

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The article "I Run a Full Linux Desktop in Docker Just Because I Can" by Ali Haider discusses the author's experiment of running a complete Linux desktop within a Docker container, which is typically used for lightweight applications. The author was motivated by curiosity and the desire to learn more about Docker, despite knowing it would be challenging.

The experiment was conducted on a Windows 10 PC and aimed to merge the functionality of Linux and Windows without the need for dual-booting or using virtual machines. The process involved setting up Docker and Windows Subsystem for Linux (WSL). The author anticipated the project would take a day or two, but it turned out to be much more complex, requiring four days of unexpected challenges.

Overall, the project highlighted the author's commitment to exploring new technology and pushing the boundaries of what Docker can do.

Summary: Managing Disk Space for WSL on Windows 10/11

The Windows Subsystem for Linux (WSL) allows you to run a Linux environment on Windows, which is great for web development. However, it can lead to disk space issues because WSL uses virtual hard disks (VHDs) that do not automatically free up space when you delete files.

Key Points:

1. Disk Space Issues: When files are deleted in WSL, the space doesn't get reclaimed, causing the VHD files to grow large over time.
2. Manual Compaction: This guide provides steps to manually compact the VHD files to reclaim disk space:
   • Verify your WSL version and installed distributions.
   • Locate the VHD file for your Linux distribution.
   • Shut down WSL, use DiskPart to compact the VHD, and then restart WSL.
3. Automation: To simplify the process, a PowerShell script can automate these steps, allowing you to compact your VHD files without manual intervention each time.
4. Regular Maintenance: Schedule the script to run regularly to maintain disk space efficiency.

By following these guidelines, you can manage your WSL disk space effectively, ensuring your system runs smoothly.

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The text appears to be a reference to a book review titled "Baldwin: A Love Story" by Nicholas Boggs, published in The New Yorker. The review likely discusses themes related to the life and work of James Baldwin, highlighting his contributions to literature and culture. It may explore Baldwin's relationships, both personal and professional, and how they influenced his writing. The review aims to provide insights into Baldwin's legacy and impact on society.

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Summary of ChatGPT Go Subscription

ChatGPT Go is a new, affordable subscription plan currently available only in India, priced at ₹399 per month. It offers users enhanced access to popular features, including:

• More usage of the GPT-5 model.
• Increased image generation capabilities.
• Greater file upload limits for document analysis.
• More frequent use of advanced data analysis tools.
• Longer memory for personalized interactions.
• Access to projects and custom AI tools.

Key Points:

• Sign-Up: Users can subscribe by logging into ChatGPT and selecting "Upgrade Plan."
• Payment Issues: UPI payments are temporarily disabled; this is expected to be fixed within 12-24 hours.
• Higher Limits: ChatGPT Go includes higher usage limits compared to the free plan.
• Cancellation and Refunds: Users can cancel anytime and request refunds for incorrect charges.
• Data Privacy: Conversations may be used to improve the model, but users can opt out of data usage.
• Availability: Currently geo-restricted to India, with plans to expand to other regions later.

For more details about managing subscriptions or payment methods, users can check the help center.

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A recent MIT study reveals that U.S. companies have spent $35 to $40 billion on Generative AI projects but have seen little return on investment. Only 5% of organizations have successfully implemented AI tools at scale, while 95% report no significant benefits. The study, which includes interviews with enterprise leaders and analysis of public AI initiatives, suggests that the lack of success is due to AI systems' inability to retain data and adapt over time.

The report highlights that while certain sectors, like Technology and Media, have found Generative AI useful, many others, including Healthcare and Financial Services, have not seen meaningful changes. Companies are also anticipating job cuts in the Technology and Media sectors due to increased automation in non-core tasks.

Interestingly, generic AI tools like ChatGPT outperform specialized enterprise tools because employees find them easier to use. The report concludes that successful AI adoption requires companies to engage with vendors as partners, demanding customization and accountability for business outcomes.

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Electric car batteries, primarily lithium-ion, are designed to last much longer than mobile phone batteries. Concerns about battery degradation, particularly for second-hand electric vehicles (EVs), stem more from perceptions than reality. In fact, most electric car batteries retain over 80% of their initial capacity even after 200,000 miles.

Battery degradation occurs due to two main factors:

1. Calendar Aging: This happens over time, even when the car isn't used, typically causing a 1-2% loss in capacity per year.
2. Cyclical Aging: This occurs with each charge and discharge, leading to gradual capacity loss.

Data shows that degradation is rapid in the first 20,000 miles but slows significantly thereafter. For example, Tesla's batteries lose only about 15% capacity after 200,000 miles.

While early models like the Nissan LEAF faced significant degradation issues, modern EVs with better cooling systems show much improved durability. Manufacturers often provide long warranties (8-10 years or 100,000 miles), reflecting their confidence in battery longevity.

To protect battery health, it’s advised to avoid extreme temperatures, avoid keeping the battery at very high or low charge levels, and limit fast charging. Battery technology continues to improve, ensuring that newer models will perform even better than earlier versions.

Summary: The Biggest Bet in Tech

As of August 15, 2025, major tech companies Apple and Amazon are at risk of missing out on AI advancements, similar to how Intel missed the mobile revolution. CEOs Tim Cook and Andy Jassy acknowledge AI's significance, but their strategies suggest they view it as a commodity rather than a transformative force.

Key Points:

1. AI's Paradigm Shift: Both companies recognize AI as a major change, yet their approaches indicate they believe it will be a commoditized market.

2. Amazon's Strategy: Amazon's AWS focuses on large-scale, cost-effective infrastructure. However, in the AI space, quality and performance are more important than price, putting them at a disadvantage to competitors like Google.

3. Apple's Reliance on iPhone: Apple generates a significant portion of its revenue from iPhone sales and services tied to it. This reliance makes them vulnerable to shifts in technology, particularly as AI introduces new user interfaces.

4. Cultural Challenges: Both companies face the "innovator's dilemma," where their established cultures may hinder their ability to adapt quickly to new technologies.

5. Future Risks: If Apple and Amazon continue with their current strategies, they may fall behind emerging AI players, making it harder to catch up later.

6. Need for Innovation: To remain relevant, Apple and Amazon may need to create new standards or interfaces in AI, but they are currently lagging behind key players like Nvidia and OpenAI.

Ultimately, the text warns that the rapidly evolving nature of AI may expose the vulnerabilities of Apple and Amazon's current strategies, potentially sealing their fate in the tech industry.

A recent study published in Nature examines how the built environment affects physical activity levels. Researchers analyzed data from over 2 million smartphone users who recorded their physical activity while relocating between cities with varying walkability. The study found that moving to a more walkable city led to an average increase of 1,100 daily steps, while relocating to a less walkable area resulted in a decrease of 1,400 steps.

The research is significant because many people do not meet recommended physical activity guidelines, which are important for health. Previous studies on this topic had mixed results due to limitations like small sample sizes and reliance on self-reported data. This study used objective measurements and a large dataset to provide clearer evidence that walkability directly influences physical activity.

The findings suggest that improving urban environments can enhance physical activity, which could inform public policy and city planning aimed at promoting healthier lifestyles. Overall, the study highlights the importance of walkable cities for increasing physical activity among the population.

The article discusses the origins and use of the 8×19 text mode font in BIOS systems, particularly on Intel motherboards. Here are the key points:

1. Font Discovery: The author discovered that certain Intel motherboards, like the AN430TX and AL440LX, used a custom 8×19 font in their BIOS, which differed from the more common 8×16 font used in earlier systems.

2. BIOS Versions: The investigation revealed that the 8×19 font appeared in the AN430TX motherboard's BIOS starting with the P10 update in 1998, with earlier versions likely not containing this font.

3. Decoding Challenges: The process of decoding the BIOS files was complex due to the structure of Intel's flash update files, leading the author to develop tools to extract and understand the content.

4. Character Set: The font encoding contained only a limited number of characters, suggesting a custom design to save space while still being compatible with string modules in the BIOS.

5. Font Variations: Other Intel boards also exhibited different versions of the 8×19 font, indicating that various BIOS manufacturers (Phoenix and AMI) used similar fonts, possibly derived from Intel's designs.

6. Legacy and Adoption: The 8×19 font continued to be used in Intel BIOS systems until around 2012-2013, eventually influencing UEFI specifications for standardized text display.

7. Open Questions: The article raises questions about the original creator of the 8×19 font and its adoption by various manufacturers, suggesting that while it appeared on many systems, the exact origins remain unclear.

Overall, the article delves into the technical intricacies of BIOS fonts, their historical significance, and their evolution across different Intel hardware.

Vibe Coding Tips and Tricks - Summary

Overview Vibe coding is a modern software development approach that uses natural language prompts to generate code. It emphasizes collaboration between AI tools and developers, who retain responsibility for code quality and architectural decisions.

Key Components:

1. Prompt: Initial instructions that guide the AI in coding.
2. Client: The interface for users, such as Amazon Q Developer or Cline.
3. Additional Context: Enhances AI capabilities, like using AWS MCP servers.

Responsibilities: Developers must review and validate all AI-generated code and maintain control over the project’s technical aspects.

AI Development Clients:

• Selection Criteria: Choose clients based on organizational needs (compliance, security) and technical requirements (pricing, integration).
• Feature Use: Understand the unique features of each client for optimal workflow.
• Multi-Client Strategy: Use different clients for different tasks based on their strengths.

Requirements and Design Guidelines:

• Clearly define project scope and design guidelines.
• Document all constraints before starting coding.
• Collaborate with AI to refine project requirements, but maintain control.

Prompting:

• Use detailed and strategic prompts for better code generation.
• Break large tasks into smaller ones for easier management.

Testing and Validation:

• Conduct incremental testing and maintain a comprehensive test suite.
• Create your own test cases, as AI-generated tests may not cover all scenarios effectively.

Documentation:

• Keep documentation up-to-date with code changes and document every modification made.

Co-authoring Documentation with AI:

• Collaborate with AI to create and update documents throughout the project.

Limitations:

• Be aware of performance issues with too many MCP servers or lengthy conversations.
• Maintain clear rules and configurations for optimal AI coding.

Version Control Best Practices:

• Make meaningful commits with clear messages.
• Use feature branches for new developments to keep the repository organized.

This guide will continue to evolve as new methods and tools emerge in the field.

Summary of MyRetroTVs

MyRetroTVs is a website that lets users enjoy nostalgic TV experiences by virtually flipping through channels from past decades. You can start exploring by clicking on the TV images provided.

Basic Controls:

• Menu: Click the MENU button on the remote for shortcuts.
• Power: Use the POWER button or SPACE BAR to turn the TV on/off.
• Volume: Adjust with VOL buttons or use -/+ keys.
• Channel Surfing: Change channels with CH buttons or arrow keys; use number keys to jump to a decade.

Content Filtering: Use the filter panel to select specific types of content, like music videos.

Special Effects: Customize your viewing experience with options for picture noise, glow effects, black & white mode, and more.

Viewing Modes:

• Full-screen: Press F to toggle full-screen mode.
• Playlist Mode: Enables starting channels from the beginning.
• Shuffle Mode: Randomizes channel selection.

Feedback: Users can suggest YouTube content for improvement and report any incorrect clips.

Troubleshooting: If there are issues, such as static or loading problems, users are advised to refresh their browser or switch from embedded apps to standard browsers.

Overall, MyRetroTVs is designed to recreate the feel of vintage television and invites users to engage and provide feedback for enhancements.

Diffusion models are popular for generating visuals but often require a lot of resources to train and can be inefficient. To address this, the community has explored various methods for better finetuning and personalization. However, improving training efficiency usually comes with tradeoffs, either increasing costs or reducing performance.

This work introduces a new method that enhances both training efficiency and performance by effectively transporting selected data from earlier model layers to deeper ones. This approach is flexible, working not just with transformer-based models but also with state-space models, and it does not require changing the model's architecture or adding parameters.

Our method, called TREAD, significantly reduces computational costs while improving performance on the ImageNet-256 benchmark for class-conditional synthesis. It speeds up convergence by 14 times at 400,000 training iterations compared to a previous model and 37 times compared to the best previous performance after 7 million iterations. Additionally, we achieved competitive performance metrics (FID scores) without any architectural changes.

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The text discusses the overwhelming focus on artificial intelligence (AI) in the tech industry, expressing concern that resources are being misallocated. While some people enthusiastically promote AI, claiming it will revolutionize jobs and technology, the author argues that instead of developing unnecessary AI features, we should improve existing technology.

The author highlights examples of poorly implemented AI features in software, such as a failed AI meeting generator at a conference, which created more problems than solutions. They point out that many existing software applications are broken and neglected, while investments pour into AI that promises profit but often fails to deliver real value.

The overarching message is that tech companies prioritize short-term profits and flashy AI features over creating better products. This trend, described as "enshittification," could ultimately harm long-term growth and innovation. The author laments the lost potential for improving critical software and infrastructure, suggesting that the current focus on AI is misguided.

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This article compares various drawing applications available for Macintosh's System 7. The focus is on programs that support both pixel and vector graphics, as well as layers and transparency.

Key points include:

• Deneba artWORKS: Supports pixel and vector graphics, has layers (up to 8), and offers partial transparency. It has a user-friendly interface.

• SuperPaint: Features 2 layers (pixel and vector) with transparency, allowing cut/copy and paste between layers.

• Freehand: Known for its superior vector capabilities, it’s missed in the current market.

• Undo Features: Most apps only allow a single undo, with Expression and Freehand offering multi-level undo.

• Some popular early applications like Photoshop initially lacked full layer support or transparency.

• Macromedia Fireworks cannot run on the iPad with System 7, which is disappointing for users.

The article includes a table summarizing the features of various apps regarding their pixel/vector capabilities, layers, transparency, and undo functions.

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Tilus: A Tile-Level GPU Kernel Programming Language

Tilus is a specialized programming language designed for GPU programming. Here are the key features:

• Focus on Tensors: It uses tensors as the main data type and works at the thread-block level, providing fine control over memory usage.
• Precision Control: It supports low-precision types with customizable bit-widths (from 1 to 8 bits).
• User-Friendly: Tilus has automatic tuning and caching features, along with an easy-to-use Python interface.

Getting Started

• Installation: Install Tilus using the command:

  pip install tilus
  

  Note that it requires cuda-python. If your GPU driver is older than version 580.65.06, you may need to install an older version of cuda-python:

  pip install tilus "cuda-python<13"
  

• Learning Resources: Tutorials and examples are available to help you learn how to program with Tilus. More information can be found in the programming guide.

Research Background

Tilus is based on a research paper that discusses its design and applications in GPU computing.

Acknowledgements

Tilus draws inspiration from several projects:

• Hidet: For its low-level target and runtime system.
• TVM: For compiler design ideas.
• Triton: For its method of defining kernels at the thread-block level.
• Hexcute: For simplifying programming using automatic layout inference.

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The UK's children's commissioner, Dame Rachel de Souza, is urging the government to address a loophole in the Online Safety Act that allows minors to bypass age restrictions using VPNs. In a recent report, she highlighted that many young people are still accessing pornography despite the new age verification laws. A survey showed that a significant number of teenagers had been exposed to porn before turning 18, with over a quarter seeing it by age 11.

Since the law requiring age checks on adult sites took effect, some sites have seen a drop in UK traffic, but VPN usage has surged, enabling users to evade these checks. De Souza suggests that the government should require VPN providers to implement stricter age verification measures.

However, experts warn that blocking VPNs could harm legitimate users who rely on them for security and privacy. The government maintains that it will not ban VPNs but will enforce penalties on platforms that allow minors to bypass safety measures. The Online Safety Act aims to protect children from harmful online content, but there are concerns about the implications for digital freedom and security.

Summary of "Mindless: The Human Condition in the Age of Artificial Intelligence" by Robert Skidelsky

Erik J. Larson reviews Robert Skidelsky's book, which explores the impact of artificial intelligence and automation on humanity. The text begins by reflecting on the initial optimism surrounding the internet in the 1960s and 1990s, which promised a democratic and free future. However, the reality has been starkly different, with increasing wealth inequality, job insecurity, and the manipulation of information online.

Skidelsky argues that we now live in a "machine civilization," where technology shapes our lives profoundly. Instead of assisting us, machines dictate how we think, work, and relate to one another. He discusses the loss of meaning in work and leisure due to automation, challenging the belief that technological advancement will lead to a utopia of leisure.

The book critiques the ideologies supporting AI and automation, connecting historical perspectives from thinkers like Marx and Keynes to contemporary issues. Skidelsky raises fundamental questions about human flourishing in the context of machine dependence.

The review highlights three main themes in Skidelsky’s work: the changing nature of labor, the risks of technological dependency, and the potential for advanced AI to disrupt society. He compares modern anxieties about AI to historical narratives, suggesting that fears of an AI apocalypse reflect deeper societal concerns.

Ultimately, Skidelsky does not offer solutions but advocates for a thoughtful understanding of our relationship with technology, emphasizing the need to reflect on the stories we tell about ourselves and our machines.

In 2025, the creators of Lago reflect on their choice to use Ruby on Rails for their API. They emphasize that their decision was based on their team's experience, allowing them to build quickly. Despite criticisms that Rails doesn’t scale well, they argue that scaling is more about architecture and operations, and they have successfully managed millions of API calls using Rails.

The team highlights the advantages of Rails, such as its speed and simplicity, while acknowledging some limitations, like performance issues and concurrency challenges. They employ other languages like Go and Rust for specific tasks but maintain Rails as their core framework.

Hiring talented Ruby developers hasn't been a problem for them, as they are selective in their recruitment. Ultimately, they would still choose Rails in 2025 because it helps them deliver products efficiently. The key takeaway is to select technology based on your own needs and capabilities rather than trends.

The Austrian Federal Administrative Court has upheld a ruling that the newspaper DerStandard violated GDPR regulations with its "Pay or Okay" model. This model forced users to either consent to online tracking or pay for a subscription, which led to a consent rate of 99.9%, despite only 1-7% of users wanting to be tracked.

The court confirmed that users should have the option to consent to specific types of data processing, not just a blanket yes or no. DerStandard argued that this granular consent is impractical in their system, but the court disagreed. The ruling is expected to be appealed to Austria's Supreme Administrative Court and possibly the EU Court of Justice.

Max Schrems criticized the "Pay or Okay" system as a false choice that undermines the principle of freely given consent in the GDPR. He also noted that DerStandard’s attempt to dismiss the case as an abuse of law was rejected by the court, affirming that such model cases are legitimate in Austria and Germany.

DeepSeek-V3.1 is a collection that contains 2 items and was updated about an hour ago. It currently has a score of 54.

Summary of Mangle Programming Language

Mangle is a programming language designed for deductive database programming, expanding on Datalog by adding features like aggregation, function calls, and optional type-checking. This makes it easier to gather and query data from different sources.

Key Features:

• Datalog Extension: Mangle builds on Datalog, which is similar to SQL but supports recursive rules and straightforward program structuring.
• Practical Use: Mangle aims to make complex concepts accessible for developers, allowing easy experimentation and integration into applications.
• Open Source: The project is open source, with resources available on GitHub, including documentation and a Q&A section.

Examples of Usage:

• Simple Queries: Mangle can express queries to find software affected by vulnerabilities, similar to SQL.
• Aggregation: It supports grouping and counting results.
• Recursive Queries: Mangle can define rules that reference themselves, useful for navigating complex data relationships.

Building and Contributing:

• Users can build the Mangle library by managing dependencies and running tests.
• Contributions to the project are welcomed, with guidelines provided in the documentation.

For more information and examples, check the documentation and GitHub discussions.

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Intel has received a $2 billion investment from SoftBank to support chip innovation in the United States. This investment shows SoftBank's confidence in Intel's potential to advance technology in the semiconductor industry.

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Summary of Claudia: Your Desktop Companion for Claude Code

Claudia is a user-friendly desktop application designed to enhance your AI coding experience with Claude Code. It offers a visually appealing interface that simplifies managing Claude sessions, creating custom AI agents, and tracking usage.

Key Features:

• Visual Project Management: Organize all your Claude projects and sessions in one interface.
• Custom AI Agents: Create reusable agents with tailored prompts.
• Usage Tracking: Monitor token usage and costs with clear visual analytics.
• Markdown Editor: Edit system prompts with syntax highlighting and live previews.
• Session Time Travel: Create checkpoints to revisit and branch conversations easily.
• Privacy-Focused: All data remains local on your device, ensuring privacy.

Why Use Claudia? Managing multiple Claude Code sessions via terminal can be confusing. Claudia addresses this by providing a clear and intuitive visual interface, making it easier to track usage, edit files, and create agents.

System Requirements and Installation: Claudia supports macOS 10.15+, Linux (Ubuntu 20.04+), and Windows (coming soon). To get started, download Claudia from GitHub, ensure Claude Code CLI is installed, and launch the app.

FAQs:

• Claudia is free and open-source.
• It requires Claude Code CLI and an active Claude API subscription.
• Your data remains private and local.

In summary, Claudia transforms the Claude Code experience into a more manageable and enjoyable workflow for developers.

In the summer of 2025, the author experimented with creating an MCP server for the Defold editor. This server would allow an AI (referred to as Claude) to evaluate Lua code in the editor, enabling it to interact with game content. The process was entertaining but highlighted issues with accuracy, as the AI often preferred trial and error over consulting documentation.

Currently, many LLM services use structured outputs defined by JSON schemas to improve accuracy. However, the author faced challenges when trying to create tools with dynamic input schemas in MCP. Unlike a custom AI chat, MCP does not allow for the resolution of input schemas based on the data being edited.

To edit complex models, the author suggests a two-step process: first, the AI selects a resource and retrieves its JSON schema; then, it generates an edit based on that schema. This process is feasible in a custom interface but not in MCP, which lacks the ability to dynamically look up schemas based on user input. The author proposes that MCP might benefit from supporting such functionality.

The text appears to be technical code related to web design or layout styling, focusing on responsive design elements. Here are the key points summarized:

1. Responsive Design: The layout adjusts based on screen size, ensuring it looks good on various devices (mobile, tablet, desktop).
2. CSS Properties: It includes styles for margins, padding, display types, and width adjustments to maintain a consistent appearance across different screen widths.
3. Flexbox Usage: Some sections use Flexbox for alignment and spacing of inner elements, allowing for a flexible and organized layout.
4. Visual Hierarchy: The text mentions different styles for elements to ensure proper alignment and text presentation.

Overall, the text outlines the styling rules for a web layout that adapts to different devices, focusing on organization and visual clarity.