Summary:

A recent policy article reveals that the tariffs imposed by the U.S. in 2025 primarily burden American importers and consumers, who pay about 96% of the costs. Only 4% of the tariffs are absorbed by foreign exporters. The study, based on extensive shipment data, shows that U.S. customs revenue increased by around $200 billion, indicating that this tax is mostly shouldered by Americans. Research also indicates that when the U.S. raised tariffs on countries like Brazil and India, export prices did not drop; instead, trade volumes decreased as exporters chose to maintain their prices and reduce shipments rather than absorb the tariffs.

GLM-4.7 is a collection that includes 3 items, which was updated approximately 5 hours ago.

No summary available.

Summary:

Robert Lang, a former NASA engineer, transitioned to become a full-time origami artist by applying mathematical concepts from his work in optoelectronics to design intricate paper sculptures. While at NASA's Jet Propulsion Laboratory, he learned about nonlinear constrained optimization, a mathematical technique crucial for creating complex origami designs. This method allows him to calculate precise crease patterns needed to form various shapes from paper.

Lang developed TreeMaker, an open-source software that revolutionized origami design, enabling artists to create figures that were once thought impossible, such as detailed insects. Since leaving NASA in 2001, he has authored numerous books on origami, created large-scale artworks, and collaborated with other artists on projects. His engineering background continues to benefit him, as he consults on origami-related engineering challenges, including designs for space telescopes.

Overall, Lang's journey showcases the intersection of art and science, demonstrating how mathematical principles can enhance creative expression in origami.

Radboud University is adopting the Fairphone as the standard smartphone for its employees starting February 1, 2026. This decision is based on sustainability, cost efficiency, and easier management.

The Fairphone is designed to be environmentally friendly, with replaceable parts and the use of fair and recycled materials. It also supports good working conditions in its production. Employees will primarily receive Fairphones, but some used Samsung devices may be available as well.

Employees currently using iPhones will be allowed to keep them if they are still functioning, but returned iPhones will not be reissued. Those who prefer using their personal phones for work can request a university SIM card, though personal device costs will not be reimbursed.

Choosing Fairphones will lower overall costs and simplify management, as the university will only need to support one model. Fairphone offers a five-year warranty and up to eight years of software support, aligning with the university's strategy for sustainable use and reuse of technology.

The chief constable of West Midlands Police, Craig Guildford, resigned after his department mistakenly banned Israeli fans from a football match based on false information generated by Microsoft Copilot, an AI tool. Initially, Guildford told MPs that AI was not used in the decision-making process. However, he later admitted that the incorrect report about a non-existent match was indeed generated by the AI. This incident raised concerns about the use of AI in police work and led to criticism of the police force's decision, which appeared to show bias against Israeli fans. Guildford's resignation followed a loss of confidence expressed by the Home Secretary.

The author is interested in hearing from people who work with COBOL and mainframes. They want to know if these workers view large language models (LLMs) as a threat to their job security or as a benefit. The author believes that most of the code that is essential for the economy is still not affected by AI coding tools.

I'm sorry, but I cannot access or view content from external links, including YouTube. However, if you provide me with the text or main points from the video, I can help summarize it for you!

The text discusses the "Dead Internet Theory," which suggests that since around 2016, most online interactions and content are generated by bots rather than real people. The author reflects on their experience using HackerNews, a platform for tech enthusiasts, where they observed a discussion about an open-source project. Some users questioned whether the project was AI-generated, raising concerns about the authenticity of online content.

The author notes that many comments and code may also be produced by AI, making it difficult to trust what is real. They express nostalgia for the early days of the internet when interactions were genuine and people shared knowledge. Nowadays, they feel overwhelmed by the prevalence of AI-generated content across various platforms, which can distort reality and undermine meaningful human communication. The author worries that the future may involve more interactions between bots rather than real human engagement, leading to a less useful and authentic internet experience.

No summary available.

The author has a background in coding but shifted careers to become an investment associate after feeling discouraged by coding challenges like bugs and imposter syndrome. They are enthusiastic about compound interest and often perform related calculations, finding it calming. Frustrated by poor online compound interest calculators, the author was inspired by the rise of "vibe coding" to create their own.

In just two weeks and a small investment, they developed over 60 calculators for various financial and utility purposes using AI to assist with the coding. They realized their past experience in coding and financial math was still valuable, and AI helped them translate their ideas into functional tools. This experience renewed their confidence and made long-held ideas feel achievable again.

The project uses modern web technologies and is live at calquio.com, with the compound interest calculator being a standout feature. The author is interested in hearing from others who have returned to coding after a break.

Luxury Yacht Summary

Luxury Yacht is a desktop application for managing Kubernetes clusters, compatible with Linux, macOS, and Windows.

Installation:

• Download: Get the latest version from the Releases page. Choose the correct package for your system (amd64 or arm64).
• macOS: Install via DMG or Homebrew with the command:

  brew tap luxury-yacht/tap
  brew install --cask luxury-yacht
  

• Linux: Use .deb or .rpm packages.
• Windows: Use the standard installer, which is unsigned and may require extra confirmation.

Troubleshooting:

• On Linux, ensure you have webkit2 4.1 installed for the app to start. Check your distro’s package manager for the correct installation steps.

Development:

• Required tools: Go 1.25, Node 25, Wails, and Mage.
• Install Wails with:

  go install github.com/wailsapp/wails/v2/cmd/[email protected]
  

• To install Mage, use:

  go install github.com/magefile/mage@latest
  

• For development, use mage dev for live updates and debugging.

Building and Installation:

• Build the app with mage build.
• Install locally with mage install:unsigned.

Versioning and Publishing:

• Update app versions from specific files: wails.json for app version, go.mod for Go and Wails versions, and .nvmrc for Node version.
• Before releasing, run mage qc:prerelease, update the version in wails.json, and push the changes with a new tag.

For more issues or contributions, contact [email protected].

ShapeR Summary

ShapeR is a new method for creating 3D shapes from casual image captures, developed by a team from Meta Reality Labs Research and Simon Fraser University. It focuses on generating accurate and detailed 3D models of individual objects rather than merging them into a single block.

Key Features:

1. Multimodal Data Processing: ShapeR uses various inputs, including images, 3D points from SLAM (Simultaneous Localization and Mapping), and text descriptions to create 3D shapes.

2. Object-Centric Reconstruction: Unlike traditional methods that create a combined scene, ShapeR reconstructs each object separately, allowing for better interaction and manipulation.

3. Training Techniques: The process involves robust training with augmented data to simulate real-world conditions, helping ShapeR perform well in varied environments.

4. Evaluation Dataset: ShapeR includes a new dataset featuring real-world sequences with multiple views and detailed 3D shape annotations for 178 objects across seven scenes, designed to address challenges like occlusions and clutter.

5. Comparison with SAM 3D: While SAM 3D improves shape generation, it lacks metric accuracy and relies on single views. ShapeR, by using multiple views, achieves better accuracy and consistency without needing user input.

6. Generalization: ShapeR can work with different data sources, such as ScanNet++ scenes, and can generate 3D shapes even from monocular images without needing retraining.

Overall, ShapeR represents a significant advancement in 3D shape reconstruction, making it more robust and applicable to real-world scenarios.

Summary of FLUX.2-klein-4B Pure C Implementation

FLUX.2-klein-4B is a program that creates images from text prompts using a model from Black Forest Labs. It is written entirely in C, requiring no external libraries other than the standard C library, and offers optional acceleration using MPS or BLAS for better performance.

Key Points:

• AI Code Generation: The project was developed by Salvatore, who used AI (Claude Code) to generate the code without writing any lines himself. He aimed to create a simple, accessible alternative to Python-based AI models.
• Usage: The program can generate images directly from text prompts or modify existing images based on new prompts. It requires no Python or CUDA at runtime.
• Getting Started:
  • Build the program using the command:
    • make mps for Apple Silicon (fastest)
    • make blas for Intel Macs/Linux
    • make generic for a pure C build (slower)
  • Download the model (~16GB) using Hugging Face.
  • Generate an image with a command like:
    • ./flux -d flux-klein-model -p "A woman wearing sunglasses" -o output.png

Features:

• Zero dependencies and standalone operation.
• Supports text-to-image and image-to-image generation.
• Built-in text encoder for simplicity and memory efficiency.

Command Line Options:

• Specify model path, prompt, output path, image dimensions, and other parameters for customization.

Technical Details:

• The model architecture includes a transformer and VAE, optimized for fast inference with specific memory requirements.
• Maximum image resolution is 1024x1024 pixels.

Building and Running:

• The program can be compiled for different platforms and configurations.
• Example code snippets are provided for both image generation and transformation.

Licensing:

• The project is licensed under the MIT License.

Summary of WikiProject AI Cleanup

WikiProject AI Cleanup is a collaborative effort on Wikipedia focused on addressing the issues related to AI-generated content. The project was established to manage the influx of poorly written and unsourced material created by AI, particularly large language models like GPT.

Key Goals:

1. Identify and proofread AI-generated text to ensure it aligns with Wikipedia’s sourcing and accuracy standards.
2. Identify AI-generated images and ensure they are used correctly.
3. Support editors who use AI tools, helping them understand the potential pitfalls.

The project does not aim to ban AI tools but rather to ensure their outputs are reliable and constructive.

Editing Guidelines:

• Tag articles suspected of containing AI-generated content.
• Remove unsourced information and warn editors who add such content.
• Articles entirely written by AI may be nominated for deletion.

Challenges: Identifying AI-generated text can be difficult because it often resembles human writing. Sometimes, even AI-generated content might have real sources that are irrelevant or fabricated, necessitating careful verification.

For anyone interested in contributing, new participants are welcome to join the project and help improve Wikipedia’s content quality.

The article emphasizes the importance of "back pressure" in working with AI agents. Back pressure refers to the feedback and structures that help agents learn and improve over time. Successful projects provide agents with automated feedback mechanisms, allowing them to handle more complex tasks without constant human oversight.

Key points include:

• Automated Feedback: Setting up systems that give agents feedback on their performance allows them to identify and correct mistakes independently.
• Tools for Agents: Equipping agents with tools (like build systems or UI testing frameworks) enables them to self-correct, freeing engineers to focus on more complex issues rather than trivial errors.
• Expressive Type Systems: Programming languages with strong type systems help prevent errors and provide better feedback for agents, enhancing their ability to produce valid code.
• Real-World Applications: The article mentions examples like proof assistants and randomized testing that leverage back pressure to improve AI outcomes.

In summary, integrating back pressure into workflows can significantly enhance the efficiency and effectiveness of AI agents, allowing for smoother automations and better outputs. Engineers are encouraged to think about how to implement these systems to avoid spending unnecessary time on minor corrections.

No summary available.

The author explores the SIMD (Single Instruction, Multiple Data) paradigm, particularly focusing on AVX-512, which they have previously overlooked. They aim to understand its performance potential and programmability compared to other parallelization models like CUDA (SIMT - Single Instruction, Multiple Threads).

Key points include:

1. Performance Goals: The author wants to see how much performance scaling can be achieved using SIMD with minimal development effort, ideally 16x for single-precision tasks.

2. Finding Suitable Problems: A challenge in exploring SIMD is identifying problems that can be effectively accelerated by it. The K-Means clustering algorithm is chosen due to its high computational intensity relative to data movement, making it suitable for SIMD.

3. Baseline Comparisons: The author compares the performance of scalar code, auto-vectorized code from two compilers (GCC and Intel), and hand-written SIMD code. They find that auto-vectorization does not achieve the expected speedup, and hand-written intrinsics perform better but are more complex.

4. Performance Results: The SIMD approach yields a performance increase of 7-8.5 times compared to scalar code, which is less than the ideal but still significant.

5. Programmability Comparison: The author notes that writing SIMD code is more verbose than scalar or CUDA code, but once the initial setup is done, it doesn’t require significantly more thought. However, CUDA handles certain complexities more gracefully, particularly with memory access and branch conditions.

6. Final Thoughts: The author concludes that SIMD, particularly AVX-512, is not as difficult to use as expected and can yield good performance. They suggest that as hardware evolves, there may be a shift towards more explicit SIMD programming due to the need for developers to optimize for performance.

Overall, the exploration highlights the strengths and challenges of SIMD programming, emphasizing its potential benefits in performance when applied correctly.

Gladys West (1930-2026) was an influential American mathematician known for her significant contributions to the mathematical modeling of the Earth's shape and the development of satellite geodesy, which played a crucial role in creating the Global Positioning System (GPS).

Born in Sutherland, Virginia, West grew up in a farming family and excelled in school, earning a scholarship to Virginia State University, where she studied mathematics. After graduation, she worked as a teacher before joining the Naval Proving Ground in 1956 as a computer programmer, becoming one of the few Black women in the field.

Throughout her career, West worked on several important projects, including the Seasat radar altimetry project and developing models that improved the accuracy of GPS technology. She retired in 1998 but continued her education, earning a PhD in Public Administration.

West received numerous honors, including induction into the United States Air Force Hall of Fame in 2018 and the Prince Philip Medal in 2021. Her legacy is recognized in various ways, including a school named after her in Virginia. West passed away on January 17, 2026, at the age of 95.

No summary available.

On January 1, 2026, Steve Yegge introduced "Gas Town," a complex AI tool for managing AI agents. The article received mixed reactions, with some people amazed by its scale and others confused by its unique terminology.

To clarify, here are simplified definitions of key terms from Gas Town:

• Town: A main folder for your projects.
• Workspace: A project, tracked by a Git repository.
• Overseer: The user managing the projects.
• Mayor: The main agent coordinating tasks in a project.
• Polecat: A worker agent that carries out tasks and submits requests.
• Refinery: An agent managing merge requests.
• Witness: An agent that monitors and fixes stuck worker agents.
• Deacon: An agent that runs ongoing workflows.
• Dogs: Agents performing maintenance tasks.
• Boot the Dog: A checker for the Maintenance Manager.
• Crew: Long-lasting worker agents that can be reused.
• Beads: A system to track work history.

Despite these clarifications, the Gas Town system remains complex, but this decoder aims to make it easier to understand.

Summary of "The Code-Only Agent"

The concept of a Code-Only Agent simplifies the process of building agents by focusing solely on code execution as the primary tool. Instead of using various tools like bash or grep, this agent only uses a single function: execute_code. This shift changes how we think about agents, moving the focus from what tools they use to what code they produce.

Key Points:

1. Simplicity: By limiting the agent to one powerful tool—code execution—it avoids the complexity of multiple tools and prompts.
2. Code Production: Whenever asked to perform a task, the agent generates and runs code to achieve the desired outcome, ensuring that the process is consistent and repeatable.
3. Precision and Trust: The results are more reliable because they come from executed code rather than a mix of tool calls and responses. The code serves as a "witness" to the output, making it easier to understand and verify.
4. Design Considerations: Implementing a Code-Only agent involves decisions about how to manage output, run code, and enforce the use of only code without other tool calls.
5. Future Directions: The evolution of agents could lead to combining Code-Only capabilities with natural language orchestration, blurring the lines between programming and prompting.

Overall, the Code-Only paradigm aims to create more trustworthy and efficient agents by relying solely on code execution for all tasks.

No summary available.

The project titled "fil-qt" has the following details:

• Project ID: 5476
• Created on: January 16, 2026
• Contains 3 commits and 1 branch, with no tags.
• Options are available to clone the project using SSH or HTTPS, and to open it in Visual Studio Code or IntelliJ IDEA.
• You can also download the source code in various formats (zip, tar.gz, tar.bz2, tar).

Currently, it is displaying loading information for the last commit and last update.

Summary:

Sandboxing coding tools like Claude Code is important for managing security risks. Key points to consider include:

1. Sandboxing Challenges: When using agentic coding tools, we must understand:

   • The untrusted content the sandbox might encounter.
   • How the tools communicate externally.
   • What sensitive data is accessible to the sandbox.

2. Sandboxing Tools:

   • Claude Code offers sandboxing features that help limit access to sensitive data.
   • Similar tools are available for other platforms, such as Cursor and OpenAI’s Codex.

3. Data Access Risks:

   • Claude Code can access sensitive data, including API keys and environment variables.
   • Developers should be cautious about what data they provide to avoid unintentional leaks.

4. Firewall Configuration:

   • A devcontainer template includes a script to manage network access, allowing connections only to specific hosts.
   • However, this does not guarantee complete security; there are risks of sensitive data being exfiltrated.

5. Proxy Use:

   • Proxies can help manage and secure API keys by intercepting traffic and modifying requests.
   • Using tools like mitmproxy, developers can mask real API keys from the coding tool.

6. Applying Least Privilege:

   • It’s crucial to limit access permissions for both developers and coding tools to minimize risks.
   • Tools like Formal can be used to enforce fine-grained permissions.

7. Mitmproxy Add-ons:

   • For difficult-to-edit hostnames and headers, mitmproxy add-ons can manage and reroute traffic securely.

Overall, careful configuration and the use of sandboxes, firewalls, and proxies can help protect sensitive data while using coding tools.

No summary available.

No summary available.

No summary available.

A tragic train collision occurred in southern Spain, resulting in at least 39 deaths and many injuries, making it the worst rail crash in over a decade. The accident happened on Sunday evening when a Madrid-bound train derailed and collided with another train, leaving around 400 passengers aboard. Emergency services treated 122 people, with 43 hospitalized, including some in critical condition.

The crash happened near Córdoba, shortly after the train departed from Málaga. Rescue efforts were complicated by the wreckage, and eyewitnesses described the impact as feeling like an earthquake. All rail services between Madrid and Andalusia were suspended due to the incident.

An investigation is underway to determine the cause of the collision, but officials noted that it remains unclear. Spanish Prime Minister Pedro Sánchez expressed deep sorrow over the tragedy, and condolences have been offered by international leaders. Families of passengers are experiencing anxiety due to a lack of information.

The author is a big fan of Pocket Operators by Teenage Engineering and owns an EP-133 K.O. II. Recently, a Reddit user shared a Google Sheet with drum patterns, which inspired the author to create a simple app for experimenting with beats and sounds. This app allows users to save their creations and share them via a link. It was built using Tone.js and Stimulus, and is hosted as a static website. The author used a language model to help generate sounds since they are not experienced in sound production. They enjoyed building the app and hope others will like it too.

No summary available.

The text discusses the creation of an image-to-ASCII renderer, focusing on improving the quality of ASCII art by enhancing how shapes are represented. Here are the key points:

1. Renderer Development: The author built an ASCII renderer to convert images into ASCII art, emphasizing sharp edges and clear contours.

2. Common Issues: Many existing ASCII renderers produce blurry edges by treating ASCII characters as pixels, ignoring their unique shapes.

3. Techniques for Improvement:

   • Supersampling: This method involves taking multiple samples per grid cell to reduce jagged edges. However, it can make images look blurry.
   • Shape Utilization: The author introduces the concept of "shape" in ASCII characters, using vectors to quantify how much each character occupies different parts of a grid cell. This allows for better character selection based on their visual density.

4. Contrast Enhancement: To improve image readability, a contrast enhancement effect was implemented, making color boundaries sharper without losing detail in smooth gradients.

5. Directional Contrast Enhancement: The author further develops the contrast enhancement by considering external sampling circles that influence how the internal sampling vector is adjusted, preventing staircasing effects at boundaries.

6. Performance Optimization: Techniques such as using k-d trees for faster nearest-neighbor searches and GPU acceleration for sample collection were implemented to improve rendering speed.

7. Final Results: The combination of a 6D shape vector approach and enhanced contrast techniques resulted in visually appealing ASCII renderings.

Overall, the author highlights the complexity and creativity involved in ASCII rendering, as well as the potential for further exploration of techniques in this area.

NVIDIA is facing a class-action lawsuit from several authors who claim the company illegally used millions of pirated books from a site called Anna's Archive to train its AI models. The lawsuit alleges that NVIDIA contacted Anna’s Archive for high-speed access to its vast collection of copyrighted materials, despite being warned that the library’s content was illegally obtained.

The authors argue that NVIDIA's actions amount to copyright infringement, as they did not obtain permission to use the works. NVIDIA has defended itself by claiming its use of the books falls under "fair use." However, the lawsuit has expanded to include more evidence and details about NVIDIA’s alleged collaboration with Anna's Archive and other piracy sources such as LibGen and Sci-Hub.

In addition to downloading these books for its AI training, the lawsuit claims NVIDIA provided tools that enabled its customers to access pirated datasets. The authors are seeking compensation for the damages they incurred due to these actions. This situation highlights the ongoing legal issues tech companies face regarding the use of copyrighted materials in AI training.

Summary of "Sins of the Children" by Adrian Tchaikovsky

The story takes place on the planet Chelicer 14d, where a group of humans is setting up a weather station. The station is destroyed by mysterious giant bug-like creatures, which the team realizes are apex predators that were previously unknown to them. One team member, Merrit, is killed by the creature, prompting the survivors, Carl and Greffin, to shoot at the monsters, which only partially works.

The humans had come to Chelicer to exploit its unique resources, particularly a crop cultivated by the local alien species called Farmers, who resemble spiders. The Farmers are instinct-driven and do not defend their crops, leading to the humans harvesting them without regard for the local ecosystem.

After the initial attack, the humans learn that the bugs are not just a threat to their safety but also to the Farmers, which are crucial for their agricultural operations. As they begin to implement measures to eliminate the bugs using drones, they notice a disturbing trend: the ecosystem is collapsing, with various species disappearing one by one.

Carl and FenJuan, a colleague who is also a bioscientist, realize that the life cycle on Chelicer is complex and interconnected. They begin to understand that their actions are leading to a mass extinction, as they are severing links in the ecosystem. Despite their warnings, the Concern (the corporate entity behind their mission) prioritizes profit over ecological balance and continues to wipe out the predators.

In the end, after a decade of exploitation, the ecosystem of Chelicer fails completely, leaving behind a barren world. Carl and FenJuan are evacuated, reflecting on their role in the destruction while realizing that the larger goals of expansion and resource extraction overshadow the consequences of their actions. The story ends with them contemplating the loss of life and the inevitable cycle of corporate exploitation.

Dock is a new team chat tool created to address frustrations founders face with existing platforms. It is free for teams of up to five members and offers unlimited search and message history without limitations. Dock supports both asynchronous and real-time communication. It is built with security in mind, using SOC 2 infrastructure and encryption for data protection. The creator is seeking feedback from users who have experienced similar issues with team communication.

IKOS Overview

IKOS (Inference Kernel for Open Static Analyzers) is a static analysis tool for C and C++ programming languages that uses Abstract Interpretation theory. It helps developers create accurate static analyzers that can adapt to specific applications for better performance and scalability.

Key Features:

• Provides efficient data structures and algorithms for static analysis.
• Can be used with any programming language, though it specifically supports C and C++ through LLVM.
• Detects and proves the absence of runtime errors in programs.

Installation:

• For Linux or macOS, install via Homebrew with the command: $ brew install nasa-sw-vnv/core/ikos.
• For Windows, use Windows Subsystem for Linux.

Usage: To analyze a C program, run: $ ikos loop.c. This will check the code for errors, such as buffer overflows, and generate a report indicating safe, error, unreachable, or warning statuses.

Analysis Options:

• Various checks for numerical domains, multithreading, and optimization levels.
• Options for report formatting and verbosity.

Building from Source: For advanced users, IKOS can be built from source. Required dependencies include a compatible C++ compiler, CMake, and LLVM. After setting up dependencies, use commands to build and install IKOS.

Contributors and Publications: Several authors have contributed to the development and research related to IKOS, with publications in notable conferences.

For more detailed installation and usage instructions, refer to the documentation included with IKOS.

Google has a collection of models called the Gemma family. This collection includes 335 items and was last updated 4 days ago.

Texas police have invested millions in a controversial phone-tracking software called Tangles, but they are not disclosing how it has been used. This software allows law enforcement to track mobile devices without a warrant, raising concerns among civil liberties advocates about privacy violations.

The story centers on Goliad County Sheriff Roy Boyd, who used Tangles to investigate a human smuggling case initiated from a discarded receipt. Boyd acquired the software for about $300,000 using state border security grants. Tangles, developed by Cobwebs Technologies and now owned by PenLink Ltd, can track the movements of mobile devices in certain areas through a method known as "geofencing."

Critics argue that the use of Tangles undermines constitutional rights, as police can purchase location data without judicial oversight, circumventing the requirements established by the U.S. Supreme Court in the Carpenter v. United States case. While law enforcement claims that Tangles helps gather evidence for investigations, there are no public records linking its usage to specific arrests or successful prosecutions.

Various Texas agencies, including the Department of Public Safety, have also invested heavily in Tangles, but they have not provided concrete examples of its effectiveness. Concerns persist about the potential for abuse of such powerful surveillance tools, especially since Texas law does not require police to document their use. Boyd himself expressed caution about excessive data collection, questioning whether the government should have unrestricted access to individuals' personal information.

Overall, the article highlights the tension between law enforcement practices and civil liberties in the context of advanced surveillance technologies.

No summary available.

Lume is an open-source command-line tool for running macOS and Linux virtual machines (VMs) on Apple Silicon devices. It was created to automate the setup of VMs for AI agents in isolated environments.

Key updates in version 0.2 include:

• Unattended Setup: You can now set up a VM without manual input, using a system that automatically clicks through the macOS setup process.

• HTTP API + Daemon: A REST API allows scripts and CI pipelines to manage VMs even if the terminal is closed.

• MCP Server: Direct integration with Claude Desktop for creating and managing VMs through simple commands.

• Multi-location Storage: Support for external drives to manage storage space better.

• Registry Support: Ability to pull and push VM images from GitHub Container Registry or Google Cloud Storage.

Lume is useful for running isolated code, CI/CD pipelines, automated UI testing, and disposable sandboxes for research. It is compatible only with Apple Silicon (M1, M2, M3, M4) and utilizes Apple's native virtualization technology.

You can start using Lume by following the installation instructions provided in the documentation. They are open to feedback, bug reports, and feature suggestions.

aws-doctor Summary

aws-doctor is a tool that helps you check the health of your AWS accounts using the command line. It was created with Golang and focuses on identifying cost issues, detecting unused resources, and analyzing cloud infrastructure, similar to AWS Trusted Advisor but without needing a paid support plan.

Key Features:

• Cost Comparison: Compares your monthly costs to see how spending changes over time.
• Waste Detection: Identifies unused resources (like "zombie" resources) that increase costs.
• Trend Analysis: Shows cost trends over the past six months to find long-term spending issues.

Purpose: The tool was developed to help Cloud Architects quickly understand AWS costs and improve spending efficiency, as AWS's own tools often lack context.

Installation: You can install aws-doctor using Golang with the command:

go install github.com/elC0mpa/aws-doctor@latest

Usage Flags:

• --profile: Choose the AWS profile (default is empty).
• --region: Choose the AWS region (default is "us-east-1").
• --trend: View a six-month trend analysis.
• --waste: Analyze potential waste in your AWS account, including unused resources like EBS volumes and idle instances.

Future Plans:

• Export reports to CSV and PDF.
• Make the tool available in more operating system repositories.

Overall, aws-doctor automates cost checks, helping you manage AWS expenses more effectively.

No summary available.

The article discusses the evolution of open source software, comparing it to a "cathedral," a "megachurch," and a "bazaar."

1. Background: Initially, open source was like a cathedral, where a small group of developers controlled contributions. The "bazaar" represented a more open, chaotic approach, exemplified by projects like the Linux Kernel.

2. Modern Open Source: Today, many successful open source projects resemble "megachurches"—large, organized entities that require commitment (time or money) for participation. Examples include the Linux Foundation and the Python Software Foundation, which have strict rules for contributions, focusing on community involvement.

3. The Bazaar: Despite the prevalence of megachurches, many open source projects are still independent and chaotic, often maintained by single individuals. These projects are less concerned with formal rules and intellectual property.

4. Future Challenges: The article highlights the difficulties in funding smaller open source projects and mentions efforts by groups like the Sovereign Tech Agency to provide funding without strings attached. It also references a paper by the Atlantic Council that outlines potential solutions for the future of open source as infrastructure.

5. Call to Action: Readers are encouraged to explore smaller open source projects in the bazaar and engage with them, as they represent the foundation of modern infrastructure.

No summary available.

The article discusses concerns about OpenAI's future, particularly in light of recent negative analyses suggesting the company is struggling. The author confidently asserts that OpenAI is not in danger of failing financially, citing a massive $40 billion funding round and high growth projections.

Key points include:

1. OpenAI's Financial Health: OpenAI recently closed a significant funding round and is expected to generate substantial annual revenues, aiming for $20 billion by 2025.

2. Transition to Advertising: OpenAI is planning to introduce ads in its ChatGPT product, which will be clearly labeled and separated from organic content. This includes sponsored responses based on user queries.

3. Ad Revenue Projections: OpenAI aims to earn $1 billion from ads in 2026, with ambitious goals reaching $25 billion by 2029. Their strategy involves creating a self-serve platform for advertisers, similar to Google.

4. Comparison with Other Ad Platforms: The article compares OpenAI's potential ad revenue per user (ARPU) to giants like Google and Meta, indicating that OpenAI could command high prices for ads due to the high intent of user queries.

5. Competition Considerations: The projected user growth may be affected by competition, particularly from Google’s Gemini. The author provides conservative estimates for user growth and revenue.

6. Long-term Revenue Outlook: Projections for total revenue indicate that by 2029, OpenAI could reach between $140 billion and $150 billion, with ads playing a crucial role in profitability.

The author concludes with a tongue-in-cheek remark about the dominance of ads in achieving AI goals, suggesting that the pursuit of advertising may indicate that superintelligent AI (AGI) is still far off.

Summary: 10 Lessons from Using AI Coding Agents

1. Human Involvement is Necessary: AI coding agents can't replace human developers. Experienced programmers are essential for judgment and creativity, guiding the AI to create effective software.

2. AI Limitations: AI models can struggle outside their training data. They excel in familiar programming languages but can be ineffective in less common ones.

3. Creating Novel Ideas is Challenging: AI often has difficulty generating truly unique concepts due to preconceived biases in its programming.

4. The 90% Rule: Initial project development is quick, but refining and completing projects can be slow and tedious, requiring human input.

5. Feature Creep: The excitement of using AI can lead to continually adding new features instead of fixing existing issues, which can complicate projects.

6. AGI is Not Here Yet: Current AI lacks general intelligence and cannot learn and adapt independently like a human.

7. Speed Can Be Frustrating: While AI speeds up coding, it can also create impatience, as users may expect even faster results.

8. Increased Workload for Developers: Rather than replacing jobs, AI tools may lead to increased workloads as they allow for more projects to be undertaken.

9. Fast Development Raises Concerns: Rapid software creation can be alarming for some, leading to skepticism about the quality and implications of AI-generated content.

10. AI Tools are Here to Stay: AI coding agents are effective tools for enhancing human creativity and productivity, but they still require a skilled human operator to achieve the best results.

Overall, while AI coding tools offer exciting possibilities, they are not a substitute for human expertise and creativity in software development.

Summary of "AI Components for a Deterministic System" by Eric Evans

Incorporating AI into traditional software systems presents challenges due to AI's non-deterministic nature. This article discusses how to make AI-generated outputs usable in structured software by focusing on domain modeling and strategic design.

1. Understanding Domains: Conventional code does not easily reveal the domains addressed within it. For example, asking an AI model about a code snippet can yield different classifications every time, making it hard to compare results.

2. Classification vs. Modeling: Classifying domains is a task AI can handle well, but creating a consistent categorization scheme (modeling) is more complex. Reliable classifications require repeatability, whereas modeling can produce varied and diverse outputs.

3. Establishing Canonical Categories: To achieve consistent results, first create a stable classification scheme. The AI can then classify individual code pieces based on this predefined taxonomy.

4. Incremental Updates: Instead of analyzing all files at once, new code can be added to an existing classification scheme incrementally, allowing for updates to the categories as new information is introduced.

5. Iteration for Improvement: Iterative refinement of the classification system is essential. This can involve using feedback loops or multiple models to assess and enhance the classification scheme.

6. Using Established Standards: Employing well-known classification systems, like NAICS, can lead to more reliable results compared to custom models. These standards reduce ambiguity and improve consistency in categorization.

In conclusion, while integrating AI into software systems is complex, following a structured approach to domain modeling, using established standards, and refining classifications iteratively can lead to better outcomes.

Keystone creates infrastructure for autonomous coding agents, providing them with safe environments that simulate real production settings. Our system includes event-based triggers and verification workflows, allowing these agents to develop and deploy code effectively.

We are looking for a founding engineer to join me, the solo founder, in developing our core product. The tech stack includes TypeScript, React (Next.js), Python, Postgres, Redis, and AWS.

This position is in-person in SoMa, with a salary range of $150K-$350K and 0.5-3% equity.

For more details, visit: Job Listing.

The article discusses the initial optimizations made while redesigning and partially converting a virtual machine's runtime from C to Rust. These optimizations have not yet been benchmarked as the virtual machine is still being developed.

Key Points:

1. Structure of the Virtual Machine: The virtual machine processes input expressions (like (2+3)*(4-1)) through several stages:

   • Tokenizer: Breaks down the input into tokens (e.g., numbers and operators).
   • Parsing: Converts tokens into an Abstract Syntax Tree (AST).
   • Optimizations: Includes a planned Intermediate Representation (IR) and a Just-In-Time (JIT) compiler.

2. Peephole Optimizations: These are small, local optimizations that focus on improving sections of code by:

   • Merging operations.
   • Removing unnecessary instructions, like no-operations (NOPs).
   • They act as a fallback for missed optimizations in the previous IR stage.

3. Implementation: The peephole optimizations are kept simple to ensure quick startup times and minimize complexity. This involves:

   • Using a small "window" of instructions for analysis (size 3).
   • Specific functions to optimize patterns like redundant moves and constant arithmetic operations.

4. Error Handling: There are considerations for avoiding undefined behavior during optimizations by ensuring the operations do not interfere with register values.

5. Testing: Tests are implemented to validate that the optimizations work correctly, ensuring that the rewritten patterns maintain expected functionality.

Overall, the article provides insight into the early stages of optimization for a new virtual machine, emphasizing efficiency and correctness in code execution. For more information, readers are encouraged to check the project's GitHub page and additional resources.

Summary of jQuery 4.0.0 Release Announcement

• Introduction: jQuery, a JavaScript library founded by John Resig in 2006, has released its major version 4.0.0 on January 14, 2026, marking 20 years since its inception.

• Key Updates:

  • Breaking Changes: The new version has significant updates, including the removal of outdated code and APIs. Users should read the upgrade guide before transitioning.
  • Browser Support: jQuery 4.0 drops support for Internet Explorer 10 and older versions. Support for very old browsers is also removed.
  • Modern Features: The release introduces support for Trusted Types and Content Security Policies (CSP), enhancing security.
  • Source Migration: The jQuery source code has been migrated from AMD to ES modules, making it more compatible with modern development tools.
  • Removed APIs: Several deprecated APIs have been removed, including functions like jQuery.isArray and jQuery.parseJSON. Users should switch to native JavaScript alternatives.
  • Focus Event Order: The focus and blur event order now aligns with W3C specifications, which differs from previous jQuery versions.
  • Slim Build: A slim version of jQuery, excluding AJAX and Deferreds, is now available, reducing file size.

• Availability: jQuery 4.0.0 can be downloaded from the jQuery CDN and npm. Users are encouraged to upgrade and report any issues they encounter.

• Community Acknowledgment: The announcement thanks various contributors and celebrates jQuery's 20th anniversary.

For further details, users can refer to the full changelog and upgrade guide provided by jQuery.

Microsoft released an emergency update for Windows 11 on January 17, 2026, to fix a shutdown issue caused by a previous update on January's Patch Tuesday. The problem made some computers unable to shut down, restart, or enter hibernation, often leading to wasted power as devices continued running.

The issue was linked to a feature called System Guard Secure Launch, which conflicted with the January update. The new fix, KB5077797, aims to restore normal shutdown functions without waiting for the next scheduled update.

Additionally, some users experienced problems signing in via Remote Desktop after the January updates, and Microsoft acknowledged another bug affecting Outlook profiles, which does not yet have a fix.

Microsoft advises affected users to install the emergency update to resolve these issues, highlighting that even routine updates can sometimes introduce new problems.

No summary available.

Summary

Empa researchers have developed a new type of epoxy resin that can be recycled, addressing the challenge of plastic waste, particularly from epoxy, which is traditionally non-recyclable. This innovative epoxy is not only flame-retardant but also easy to manufacture.

Key points include:

• Background: Epoxy resin is widely used in various industries but is challenging to recycle due to its thermosetting nature, which means it cannot be melted down after curing.

• New Development: The new epoxy resin incorporates phosphorus, allowing it to be reprocessed. It can undergo thermomechanical recycling, where it can be reshaped when heated without losing strength, and can also be chemically dissolved to recover fibers and over 90% of the resin.

• Advantages: This resin retains beneficial properties such as flame resistance and improved color stability, making it suitable for coatings and adhesives, particularly in industries like wind turbine construction.

• Future Plans: The researchers aim to scale up production for industrial use and are looking for partners to commercialize the product.

This development represents a significant step towards sustainable materials, reducing waste, and promoting recycling in the polymer industry.

Summary of Cardputer uLisp Machine Article

The article explains how to build a handheld Lisp computer using the M5Stack Cardputer Kit. The Cardputer is a compact device featuring a 240x135 color display, a 56-key keyboard, and an SD card slot, priced around £30/$30. It operates on an ESP32-S3 processor with Wi-Fi and Bluetooth capabilities.

Key Features:

• Display: 240x135 resolution, supports scrolling text.
• Keyboard: Small integrated 56-key keyboard for input.
• Battery: Includes a rechargeable battery and can be charged via USB.
• Program Uploading: Instructions for installing uLisp firmware, including troubleshooting tips for uploading issues.

Limitations:

• The device may hang when long programs are entered via the Serial Monitor on Mac computers.

Using uLisp:

• uLisp is a version of Lisp with about 200 functions, allowing various data types and programming capabilities.
• Users can enter programs directly on the device or through a computer connection.

Additional Features:

• The Cardputer can play sounds, work with SD cards for file storage, and execute graphics commands.
• It includes extensions for reading keys, saving screen images, and pixel manipulation.

Resources: The firmware and documentation are available on GitHub and the M5Stack website.

This article provides comprehensive guidance on setting up and using the Cardputer uLisp Machine for programming in Lisp.

On January 16, 2026, it was reported that Trostianets, a city in eastern Ukraine that suffered significant damage during the Russian occupation in 2022, has completed a pilot project for sustainable heating. This project, developed by the city alongside Greenpeace and Green Planet Energy, renovated a five-storey apartment building and installed modern heating systems using heat pumps and solar power.

The initiative aims to create a model for sustainable heating across many Ukrainian homes, especially as the country struggles with reduced gas supplies due to the ongoing war. The new heating system includes large thermal storage tanks and a heat exchanger, costing €218,000 in total.

The project aligns with Trostianets' "Masterplan for Green Reconstruction," which seeks to promote renewable energy solutions and improve community resilience. Mayor Yuriy Bova emphasized the importance of this transition to renewable energy, stating that it provides residents with a sense of security and warmth during difficult times. The project was funded by Green Planet Energy customers and supported by various energy experts.

This text outlines a new law proposed in Washington State aimed at preventing the illegal manufacturing of firearms using three-dimensional printers. Here are the key points:

1. Blocking Technology Requirement: All three-dimensional printers sold in Washington after July 1, 2027, must have built-in blocking features to prevent printing firearms or illegal firearm parts.

2. Definitions:

   • "Blocking features" refers to software that detects and stops unauthorized firearm blueprints from being printed.
   • "Firearm" and "illegal firearm parts" are defined as per existing laws.

3. Manufacturer Responsibilities:

   • Manufacturers must certify that their printers meet the required standards for blocking features before selling them.
   • They are also required to submit a sworn statement to the attorney general confirming compliance.

4. Penalties for Violations:

   • Individuals who violate this law may face misdemeanor charges for a first offense and felony charges for subsequent offenses.
   • Companies violating the law can face severe penalties, including fines and imprisonment.

5. Regulation and Oversight: The attorney general will create rules and standards to ensure compliance and maintain a database of disallowed firearm blueprints to aid in detection.

6. Consumer Protection: Violations of this law are deemed unfair practices under consumer protection laws.

This law aims to enhance public safety by regulating the technology associated with 3D printing and firearms.

Summary of Wine 11.0 Release

The Wine team has released Wine 11.0, marking a year of development with about 6,300 changes and over 600 bug fixes. Key improvements include:

1. WoW64 Mode: The new WoW64 mode is fully supported and can run 16-bit applications. Users can switch from the old WoW64 to the new mode by setting a specific variable.

2. Synchronization Improvements: A new Linux kernel module (NTSync) enhances performance, and thread priority changes have been added for Linux and macOS.

3. Kernel Enhancements: New features include support for NT Reparse Points and improved system calls that align with recent Windows versions.

4. Graphics Updates: OpenGL rendering has been enhanced, and Vulkan support has improved significantly, including new extensions and better compatibility.

5. Desktop Integration: Improved support for window management in X11 and Wayland, including fullscreen modes and clipboard support.

6. Direct3D Improvements: Hardware decoding for H.264 video is now supported, along with many enhancements for Direct3D features and better texture handling.

7. Input Device Support: Enhanced compatibility for joysticks and gamepads, along with improved Bluetooth functionality for device pairing.

8. Scanner and Multimedia Support: New scanning capabilities with TWAIN 2.0 and improvements in multimedia streaming and DirectMusic.

9. Internationalization and Networking: Expanded locale support and better networking features, including improved database handling.

10. Built-in Applications and Tools: Updates to various command-line tools and configuration options within Wine.

Overall, Wine 11.0 includes numerous enhancements across graphics, input, multimedia, and compatibility, making it a significant update for users.

Summary of Kafka's Head-of-Line Blocking Experiment

Context: Kafka is a messaging system that performs well with many listeners but can face latency issues when used as a job queue due to "head-of-line blocking." This occurs when a slow consumer holds up other messages.

Kafka Architecture:

• Messages are sent to topics and divided into partitions.
• Consumers in a group read messages from assigned partitions.
• If one consumer is slow, it can delay all messages in its partitions.

Beanstalkd Architecture:

• In contrast, Beanstalkd allows any available consumer to process jobs from a queue, avoiding head-of-line blocking.
• If a consumer is slow, other consumers can continue working on the remaining jobs.

Experiment Setup:

• Both systems were tested with 100 jobs, where most jobs had a short "sleep" duration, except for a few that took longer.
• Each system had five consumers, with Kafka having 10 partitions.

Results:

• The Beanstalkd setup processed 96 out of 100 messages in under one second, while Kafka took 20 seconds in total.
• Kafka's longer processing time was due to one consumer being slow and holding up others, highlighting the impact of head-of-line blocking.

The full experiment details can be found on GitHub.

Summary of "The Space and Motion of Communicating Agents" by Robin Milner

This work discusses the evolution and complexity of computing, emphasizing the importance of communication in technology today. It introduces the concept of "ubiquitous computing," where systems of interconnected devices operate seamlessly and often without human awareness. The author argues that understanding these systems requires new models and structures, particularly focusing on concepts like agents, locality, and connectivity.

Key Points:

1. Ubiquitous Computing: This refers to devices that communicate and interact continuously, impacting daily life and various fields such as healthcare and transportation.

2. Informatic Behavior: The behavior of these systems includes qualities like self-awareness, adaptability, and interaction, which must be modeled effectively to predict system performance.

3. Stratified Models: To understand complex systems, the author suggests creating layered models that represent different levels of interaction and behavior within the system.

4. Space and Motion: The concepts of "placing" (locality) and "linking" (connectivity) are foundational for understanding how agents within these systems interact and reorganize themselves.

5. Complexity of Design: Designing these systems poses unique challenges due to their size and the need for continuous operation without downtime.

This book aims to provide a framework for analyzing and designing such systems, recognizing the need for a new understanding of informatic interactions and behaviors.

No summary available.

The article discusses how using command-line tools can significantly outperform Hadoop for processing data, specifically in analyzing chess game statistics. The author, inspired by an article on Amazon EMR and mrjob, tested the performance of processing 1.75GB of chess game data. They found that their laptop could process the data in about 12 seconds, while Hadoop took approximately 26 minutes.

Key points include:

1. Efficiency of Shell Commands: Using standard shell commands for data processing can be much faster than Big Data tools like Hadoop. Shell commands can run in parallel, which improves processing speed.

2. Streaming vs. Batch Analysis: A streaming approach, which requires less memory, can be more effective. The author demonstrated that a well-constructed shell pipeline could be over 235 times faster than Hadoop for this specific task.

3. Building a Processing Pipeline: The author created a pipeline using commands like cat, grep, and awk to extract and analyze game results from PGN files, achieving faster processing times through various optimizations.

4. Parallel Processing: By parallelizing the grep step and using tools like xargs, the author further reduced processing time.

5. Final Performance: After several optimizations, the final pipeline processed the data in about 12 seconds, demonstrating the effectiveness of simple, local command-line tools over more complex distributed systems like Hadoop.

In conclusion, while Hadoop is useful for large-scale data tasks, often simpler tools can provide better performance and less complexity for smaller datasets.

Starting in 2026, communication has become the most crucial skill for software engineers, surpassing technical skills like coding. AI tools have improved significantly, making it easier for engineers to handle programming tasks without deep technical knowledge. However, crafting clear specifications for projects is still challenging, as requirements are often unclear.

To improve project outcomes, engineers need to:

• Ask questions to uncover hidden assumptions.
• Facilitate discussions about trade-offs.
• Manage project scope carefully.
• Make decisions on unspecified details.

In the past, engineers could succeed with minimal communication skills, but now strong communication is essential. While engineers are trained to solve problems, effective collaboration with others can be complicated and requires empathy—something that AI cannot replace.

The website is checking your browser for security reasons. If you own this website, there's a link to help you resolve the issue.

No summary available.

The text discusses "overlapping markup," which is a concept in markup languages and digital humanities where a document contains multiple structures that interact without a strict hierarchical order. This means that such documents cannot be organized in a simple tree format. Examples of overlapping markup can be found in poetry, where different structures like meter, language, and physical layout coexist.

Historically, the challenges of representing these non-hierarchical structures have been acknowledged since 1988, and they continue to be a significant issue in fields such as theology. Various techniques have been developed to manage overlapping markup, including:

1. Multiple Documents: Each document holds a different, consistent hierarchy, which can be easier to process but may lead to redundancy.

2. Milestones: These are markers that indicate the start and end of components, helping to embed non-hierarchical structures within hierarchical languages.

3. Joins: Pointers within a hierarchy link to other components, although they can complicate processing.

4. Stand-off Markup: This method separates the markup from the text, allowing for greater flexibility and collaboration in annotations.

Challenges with overlapping markup include complexity, redundancy, and difficulties in validating the data. While various specialized languages and formats have been created to address these issues, standoff XML and graph-based formalisms have emerged as the most widely accepted solutions for managing overlapping markup effectively.

No summary available.

The "Stirling Cycle Machine Analysis" is an educational resource by Israel Urieli from Ohio University, focused on the study and simulation of Stirling engines. It is dedicated to William T. Beale, an inventor in this field. The resource is designed for mechanical engineering students and covers thermodynamics, heat transfer, and fluid flow in Stirling cycle machines.

Key features include:

• Computer Simulations: The program modules for simulating Stirling engines have been updated to MATLAB for ease of use.
• Subject Matter: The text covers different analyses of Stirling engines, including ideal isothermal and adiabatic models, and practical performance assessments.
• Tutorials and Resources: It includes MATLAB program modules that can be customized for various engine designs and configurations.
• Open Access: The resource is freely available under a Creative Commons license, encouraging feedback from users.

The material aims to enhance understanding of the complexities involved in Stirling engine performance simulations, particularly focusing on heat transfer processes.

China has blocked the import of Nvidia's H200 AI chips, but it is unclear if this ban is temporary or permanent. Suppliers of parts for these chips have stopped production due to confusion over the situation. Nvidia had anticipated over one million orders from Chinese clients, but Chinese customs officials have stated that the chips cannot enter the country.

The US government, under the Trump administration, had allowed these chips to be exported to China but imposed a 25% tariff on them, citing national security concerns. This situation has created tension between the US and China, as there is strong demand for the H200 chips in China.

Experts are divided on whether selling these chips to China is a good strategy, with some believing it would slow China's chip development and others worried about the potential military applications of the technology.

The article discusses recent advancements in SIMD (Single Instruction, Multiple Data) programming with Rust, particularly in the context of AMD's new Zen 5 CPUs, which support full 512-bit AVX-512 instructions. This new capability allows developers to leverage SIMD for significant performance improvements without the complications of assembly code.

Key points include:

1. Zen 5 CPUs: These CPUs enable the use of AVX-512 instructions without performance penalties that older CPUs had, making them more efficient for developers.

2. SIMD Basics: SIMD allows CPUs to process multiple data points simultaneously, improving performance. The article provides a simplified example of adding numbers using SIMD versus scalar instructions.

3. 3-Step SIMD Process: The typical workflow involves loading data into registers, performing computations, and storing results back to memory. Minimizing memory access is crucial for performance.

4. Algorithm Acceleration: Developers can optimize algorithms by identifying parallelizable operations or by dividing data into chunks that can be processed simultaneously.

5. Targeting CPUs: Understanding the target CPU's capabilities (like AVX2 or AVX-512) is important for optimizing code. Different methods exist for detecting CPU features at runtime or compile-time.

6. Rust SIMD Implementation Options: Developers can use various approaches for SIMD in Rust, such as the stable wide crate or the lower-level std::arch module, which provides access to CPU-specific intrinsics.

7. Auto-vectorization: The LLVM compiler can automatically optimize code for vectorization, reducing the need for manual SIMD implementations for common operations.

8. Testing: It's essential to test SIMD code across different CPU features to ensure compatibility and performance.

9. Future of Portable SIMDs: Upcoming features in Rust aim to simplify SIMD programming by allowing high-level implementations that automatically adapt to different CPU architectures without the need for extensive code duplication.

In summary, the advancements in SIMD programming with Rust, particularly with the new Zen 5 CPUs, are set to enhance performance and ease of use for developers, making it a significant area of focus for future software development.

Hackers have claimed they are selling a large amount of internal data from Target, including 860GB of source code and documentation. This data reportedly contains information on wallet services, identity tools, gift card systems, and more. The hackers posted samples online and indicated that this breach is just the beginning of several data auctions.

Target responded by locking down their servers and taking the data repositories offline, suggesting the breach is serious, though the authenticity of the hackers' claims has not been verified. Search engines had previously indexed some of this data, hinting that it may have been publicly accessible at some point. Target has not yet made a public comment on the situation.

Dan created a command-line interface (CLI) that allows AI agents to design in Figma. Here are the main points:

• Functionality: The CLI has 100 commands for creating shapes, text, frames, components, changing styles, and exporting assets. It imports JSX about 100 times faster than existing plugin APIs and works with any coding assistant powered by AI.

• Purpose: The official Figma server can only read files, but Dan wanted AI to actively design elements like buttons and layouts without the limitations of read-only access or complex JSON schemas that consume too many tokens.

• Demo: A 45-second demonstration of the tool is available here.

• Technology: The tool uses Bun and Citty for the CLI, Elysia for WebSocket connection, and a Figma plugin. It connects to Figma’s internal multiplayer protocol for better performance with many objects.

• Installation: Users can try it by running the command bun install -g @dannote/figma-use.

• Feedback: Dan is seeking suggestions on the usability of the CLI, any missing commands, and the naturalness of the JSX syntax.

Summary of "Lopado­temacho­selacho­galeo­kranio­leipsano­drim­hypo­trimmato­silphio­karabo­melito­katakechy­meno­kichl­epi­kossypho­phatto­perister­alektryon­opte­kephallio­kigklo­peleio­lagoio­siraio­baphe­tragano­pterygon"

This term is a fictional dish from Aristophanes' 391 BC comedy, Assemblywomen. It is known as the longest word in Greek, with 171 letters, and is recognized by Guinness World Records as the longest word in literature.

The dish is described as a complex fricassée made of various ingredients, including different types of fish, birds, and sauces. Key components include shark meat, sea fish, pigeons, and honey, among others, totaling at least 16 ingredients.

The word appears in the play during a scene about a feast, highlighting its humorous and extravagant nature. Various English translations attempt to capture its essence, showcasing the diverse ingredients involved.

No summary available.

"Mural" is the largest artwork created by Jackson Pollock, measuring 8 feet high and 19 feet wide. It was commissioned in 1943 by Peggy Guggenheim for her New York apartment. This abstract piece features a mix of yellow, pink, and black colors. When you look closely, you can see shapes that resemble human and animal figures moving across the canvas. Pollock referred to it as a "stampede" because of the energetic way the figures seem to rush towards the viewer.

An engineer has spent the past year improving monofonts, particularly the double-story 'a'. They created a custom Python engine to generate font weights, giving them better control over the design, which now includes over 700 glyphs and advanced math support. The regular weight of the font is available for free, and additional weights will be released based on demand.

HTTP:COLON is a new, open-source tool that helps you quickly check the HTTP response headers of a website and understand their meanings.

Key Features:

• Enter a URL to see its response headers.
• Headers are organized into categories like cache, content, and security.
• Includes brief explanations for headers, which can be viewed by hovering over them.
• Supports various HTTP methods (GET, POST, PUT, DELETE).
• You can create direct links to inspect specific sites.

Purpose: The tool was created to simplify the process of checking and understanding HTTP headers, which can often involve switching between different resources.

Feedback Request: The tool is currently in beta, and the creator is looking for suggestions on additional features that could improve the debugging experience.

You can try it out here: httpcolon.dev.

No summary available.

No summary available.

Summary of Xous Operating System Overview

Xous is a microkernel operating system specifically designed for medium-sized embedded devices. It features a clear separation of processes and primarily operates in userspace, using message passing for communication.

The project is supported by the NGI0 PET Fund, backed by NLnet and funded by the European Commission’s Next Generation Internet program.

For more details, you can refer to the Xous Book.

No summary available.

Summary:

Technical Consultancy:

• Senior Developer Advocate: Works closely with your team to improve effectiveness and clarity in engineering.
• Technical Advisor: Provides technical assessments to minimize risks before making major decisions.

Product & Delivery:

• Focus on releasing functional software to users sooner and using real data to guide improvements.

Custom Software Development:

• Delivers high-quality, maintainable software while enhancing your team's skills for the future.

Recent Articles:

• Topics include iterative design, the evolving role of developer advocates, respecting developers, and effective technical practices that benefit business.

Explore More:

• Features include a fintech-themed series and highlights of successful software development practices.

No summary available.

The text discusses the history and development of the IBM 9020, a pivotal computer system used in air traffic control (ATC) in the United States during the late 1960s. Here are the key points:

1. Background: The IBM 9020 was developed as part of the National Airspace System (NAS) Enroute Stage A project, which aimed to automate air traffic control. This initiative was influenced by earlier military systems like SAGE, which focused on air defense rather than civilian air traffic.

2. SAGE and SATIN: SAGE (Semi-Automatic Ground Environment) was originally a military air defense system. The Federal Aviation Agency (FAA) sought to adapt this technology for civilian ATC, leading to the SATIN project in 1959, which aimed to integrate features necessary for air traffic safety.

3. Development of the IBM 9020: By the late 1960s, the FAA needed a reliable, real-time system for managing increasing air traffic. IBM's 9020 was a multisystem architecture composed of several interconnected S/360 computers, designed for high performance and fault tolerance.

4. Technical Features: The IBM 9020 was innovative for its time, featuring dynamic resource allocation, high availability, and sophisticated diagnostic capabilities. It could handle multiple simultaneous tasks and included a unique System Console for centralized control.

5. Air Traffic Control Functions: The 9020 managed various ATC tasks, including radar data processing, flight plan management, and conflict detection among aircraft. It interacted with controllers through advanced displays and communication devices, aiding in real-time decision-making.

6. Legacy: The 9020 system was operational until the early 1980s when it was gradually replaced by the newer HOST systems. Despite its retirement, the 9020 is remembered for its significant role in the evolution of air traffic control technology.

Overall, the IBM 9020 marked a crucial step in transitioning from manual air traffic control to an automated system, improving safety and efficiency in U.S. airspace management.

OpenCode, a popular open-source AI coding tool, recently faced a serious security flaw known as a Remote Code Execution (RCE) vulnerability. This flaw allowed attackers to run any code on systems using versions before v1.1.10 through its HTTP server—making it much easier to exploit than other vulnerabilities. Attackers could execute arbitrary commands, create interactive terminal sessions, and read files without restrictions.

The author shares their experience dealing with RCE vulnerabilities while working on a secure Linux operating system, Bottlerocket. They emphasize the importance of quickly addressing such vulnerabilities to protect users.

The OpenCode vulnerability not only poses a risk of RCE but also potentially allows for prompt injection attacks on the AI agent. This means that a malicious actor could manipulate the AI into executing harmful actions or leaking sensitive information.

The text warns that many developers using OpenCode may not realize the extent of their exposure, as the AI agents operate with the same permissions as the user, including access to sensitive data. The author argues for the need for better monitoring and auditing tools for AI agents to prevent chaos as their capabilities grow.

Putin has been invited to join Trump's 'Board of Peace' to discuss the situation in Gaza, according to the Kremlin.

The text emphasizes that intentional design is important for achieving success in business.

This is a free and open-source markdown editor that works directly in your browser, so it doesn’t need a backend. It is built using modern tools like React, TypeScript, Shadcn/UI, and Vite, ensuring a well-designed user experience.

The author is searching for a safe way to run large language models (LLMs) without needing to approve each command. They found existing solutions using Docker, but these often lack necessary dependencies. The author had the idea to create a container that automatically includes the required dependencies by using a tool called mise. They've been using a solution called agent-en-place for a couple of weeks, and it has been successful. They are interested in feedback from others.

In 2025, 60% of legal searches ended without users clicking through to websites, with this number expected to rise to 70-80% by mid-2026. Google’s AI Overviews provide direct answers to common legal questions, reducing the need for users to visit law firm websites. As a result, median website traffic for law firms dropped by 19%, with some firms seeing declines of up to 80%, despite still appearing in search results.

At the same time, the cost per click for legal keywords has skyrocketed, with personal injury lawyers facing increases of 568% since 2021. This has led to lower return on investment (ROI) for firms that relied heavily on online advertising.

Urban law firms are particularly affected, experiencing greater traffic declines due to higher competition and AI's ability to answer queries effectively. The traditional marketing model that relied on ranking high in search results is becoming obsolete as potential clients increasingly engage with AI instead of visiting law firm websites.

To adapt, law firms should:

1. Diversify their client acquisition channels beyond Google.
2. Optimize for AI citation by ensuring accurate and consistent information online.
3. Build direct brand recognition to capture demand without relying solely on search engines.

Overall, while Google search isn't disappearing, its importance is decreasing. Firms that adapt early to these changes will be better positioned for success in the future.

The author has been working with complex regulation documents and noticed that typical retrieval systems often struggle to find related articles, even when they are connected. After testing various setups, they found that a graph-based approach, called GraphRAG, was more effective. However, they encountered issues with graph storage and indexing being handled by separate systems, which complicates short-term analysis.

To address this, the author created GibRAM, an experimental tool that combines graph data storage and retrieval in memory. GibRAM is designed for temporary tasks like summarizing or querying documents and does not guarantee data persistence, as it cleans up data automatically after use.

This project is not meant for production and is open source. The author welcomes feedback, especially from those experienced in retrieval systems or graph-based methods. You can find it on GitHub.

No summary available.

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Hello HN! I'm creating a community-run directory of personal websites at hnpwd.github.io. You can find more details in the project's README on GitHub here.

The directory currently has few entries, and I need your help to expand it. If you have a personal website that you control and has been well-received in HN discussions, please share the link in the comments. If you don’t want your website listed, let me know.

This project is meant to be community-maintained, so if you're interested in helping out as a maintainer, please reach out to me here or through the IRC link in the README.

Additionally, check out this related discussion: Ask HN: Could you share your personal blog here? - it includes a wide range of personal websites, not just blogs.

UPDATE: It will take some time to review and add all submissions. If you'd like to help, you can submit a pull request directly to the GitHub project here.

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Luke Ross announced that he had to remove some posts about his VR mod for Cyberpunk 2077 due to a DMCA notice from CD PROJEKT S.A., similar to actions taken by Take-Two Interactive. He expressed frustration over how companies prioritize profit and disregard the contributions of modders, who often enhance games without financial compensation. Despite the setback, he revealed plans to release a new mod for Baldur's Gate 3 and shared updates on improvements to his existing VR mods for various games, including fixes for gameplay issues and enhanced features. Ross emphasized his commitment to providing immersive VR experiences and thanked his supporters for their feedback.

Summary of "A Box of Old Knives" by Josh & Kelly

Josh and Kelly are the co-founders of Bernal Cutlery in San Francisco, which offers a wide range of new and vintage knives, as well as sharpening and restoration services. Josh shares his experiences of buying vintage knives at flea markets from 2005 to 2008, noting that culinary knives were initially undervalued, often sold cheaply. Over time, as awareness grew about certain brands like Sabatier, prices surged, leading to a decline in the availability of quality culinary knives.

Josh describes the hustle of searching for knives early in the morning at flea markets, competing with professional pickers. He learned to quickly identify valuable items and developed a keen eye for spotting potential finds. His experiences reflected a mix of excitement and frustration, particularly when he encountered knives that didn’t sell well or were overhyped.

Around 2018, he noticed a trend in people re-handling Forgecraft knives, which he initially viewed skeptically. However, he began to appreciate their design and the growing interest in vintage culinary knives among younger generations. He believes that while trends may come and go, the interest in quality culinary knives will endure, as they connect users to a rich history.

Today, I’m introducing the Intent Layer, the first skill from Crafter Station. You can add it to your project using the command:

npx skills add crafter-station/skills --skill intent-layer -g

The Problem:
I've been using Claude Code but noticed it produces different results based on the codebase. For example, it wasted tokens exploring irrelevant areas and missed the actual bug.

Why This Happens:
Unlike skilled engineers, AI agents lack a mental map of the codebase, making them search in the wrong places and overlook important files.

The Solution: Context Engineering
This involves providing agents with the context needed to work effectively, including structured prompts and definitions.

What the Intent Layer Does:
The Intent Layer helps you create AGENTS.md files that provide context at various parts of your codebase. This simple markdown explains the purpose, contracts, and pitfalls of each section.

When you run the Intent Layer on your project, it:

• Detects existing AGENTS.md files
• Analyzes your code structure
• Suggests where to add context information
• Asks about important patterns and potential issues

After implementing AGENTS.md, I found the bug with significantly fewer tokens and on the first try.

Try It Out:
Use the command provided to add the Intent Layer to your project.

What’s Next:
The Intent Layer is the first of several upcoming context engineering skills, all of which are open source.

Credits:
This initiative is based on Tyler Brandt's work on Intent Layer and is part of a broader context engineering framework. Follow @RaillyHugo for updates on context engineering.

ChunkHound aims to provide a local-first tool that offers deep insights into code, generates up-to-date documentation, and can be used for both small projects and large enterprise systems. It is designed to be free, open source, and compatible with various platforms. The creator welcomes feedback and appreciates those who have supported the project.

On September 16, 1979, eight people from two families successfully escaped from East Germany to West Germany using a homemade hot air balloon. This daring escape followed over a year of preparation, including constructing three different balloons and a previous failed attempt that alerted authorities.

The families, led by Peter Strelzyk and Günter Wetzel, faced significant challenges due to the heavily fortified border separating East and West Germany. After planning various escape methods, they decided to build a hot air balloon inspired by a television program. They sourced materials discreetly, eventually creating a balloon large enough to carry all eight passengers.

Their first attempt in July 1979 fell short when they landed just before the border. Following this, they quickly built a larger balloon for a second attempt. On the night of the successful escape, they launched from a forest clearing and flew for about 28 minutes, reaching a height of 2,500 meters. Despite some issues with the balloon, they managed to land safely in West Germany, where they were greeted by police who confirmed their successful escape.

After the escape, East Germany tightened border security, and Strelzyk's relatives were arrested as a deterrent to others. The families initially settled in West Germany and later moved to Switzerland due to pressure from East German spies. They returned to their hometown after the reunification of Germany in 1990.

Their story was later adapted into two films: "Night Crossing" (1982) and "Balloon" (2018). In 2017, the original balloon was put on display in a museum. Peter Strelzyk passed away in 2017.

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