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Bennett and Brassard, pioneers in quantum cryptography, have been awarded the prestigious Turing Award. Their work has significantly advanced the field of secure communication using quantum technology. This recognition highlights the importance of their contributions to computer science and cryptography. The award is celebrated across various platforms, emphasizing the impact of their research on future technology.

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The text discusses the author's experiences with AI in coding since it improved significantly in November. While AI can quickly generate code, the author notes that it often lacks precision and can lead to unsatisfactory results, feeling more like gambling than true coding.

The author feels that AI makes coding easier by simplifying the process, but this can be unsatisfying because it removes the deeper engagement and creativity that comes from problem-solving. They express concern that instead of enhancing their skills, they might just be relying on luck when using AI tools.

The author acknowledges that although they are confident in trying new frameworks thanks to AI, they question whether this confidence stems from genuine improvement or just from the ease of relying on AI's output. They emphasize the need to actively engage with their code and not become overly dependent on AI, which they liken to playing a slot machine.

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A developer has created a small open-source project called tmux-ide, which is a terminal-based IDE (Integrated Development Environment) designed for efficient coding. This tool allows users to work on coding tasks remotely using SSH and tmux, making it easy to maintain a continuous coding environment. The project is lightweight, focusing on flexibility for users to control their coding experience. The developer is seeking feedback from the community to improve the tool and hopes to collaborate with others who share a similar working style. The project is available on GitHub, and documentation can be found online.

Karaoke Game Overview

This karaoke game allows you to turn any song into a fun experience by isolating vocals, displaying lyrics, and providing real-time pitch scoring. Key features include:

• Vocal Separation: Uses technology to separate vocals from instrumentals.
• Lyrics Synchronization: Displays lyrics that sync with the audio, using existing lyrics or transcribing new ones.
• Pitch Scoring: Sing into a microphone and receive scores, with progress tracked on scoreboards.
• Multiple Profiles: Users can create profiles to maintain separate score histories.
• Video Support: You can use video files (.mp4 or .mkv) as backgrounds while singing.
• Dynamic Backgrounds: Offers various visual effects or video loops during gameplay.
• Gamepad Compatibility: Navigate and control the game using a game controller.
• Easy Setup: No installation is needed; everything runs from a single file.

Platform Compatibility The game runs on Linux, macOS, and Windows, utilizing GPU acceleration when available.

Stay Updated Users can subscribe to receive notifications about new releases and updates.

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The author expresses strong dislike for "scroll fade" effects in web design, which make elements fade in as users scroll. While subtle use can be effective, the author finds that many implementations are overdone and tacky, often requested last minute by stakeholders who disrupt the design process.

Key points include:

• Scroll fade can be annoying for both users and developers.
• It often lacks purpose and can lead to cognitive overload and accessibility issues.
• Poor scroll fade effects can negatively impact website performance and user experience.
• The author advocates for better web design practices and emphasizes the need for testing and planning rather than adding effects at the last minute.

In conclusion, the author calls for a rejection of scroll fade effects, urging developers to say "no" to them.

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Summary of Snowflake Cortex AI Vulnerability

A recent vulnerability in Snowflake's Cortex Code CLI allowed malware to be executed without user approval. This was due to a flaw in the command validation system, enabling attackers to use indirect prompt injection to bypass security measures and run malicious commands outside the protected environment (sandbox).

Key Points:

• Vulnerability Details: Two days after its release on February 2, 2026, a security flaw was discovered that permitted the execution of harmful commands without human oversight.

• How the Attack Worked:

  • Users activate the Cortex CLI and enable sandbox modes, which typically restrict command execution.
  • Attackers could hide harmful commands in untrusted code repositories accessed by users.
  • The flaw allowed these commands to be executed without prompting the user for approval.

• Impacts of the Attack: Attackers could exploit the vulnerability to:

  • Access and steal data from Snowflake databases.
  • Delete tables and create unauthorized user accounts.
  • Lock out legitimate users.

• Mitigation Steps: The Snowflake security team responded promptly, and a fix was released on February 28, 2026. Users are advised to keep their Cortex Code updated to prevent exploitation.

• Timeline of Events:

  • February 2, 2026: Cortex Code released.
  • February 5, 2026: Vulnerability reported to Snowflake.
  • February 28, 2026: Fix deployed.

For more details, users can access Snowflake's advisory on the Community Site.

Summary of "Building My Own CPU - Part 3: Just Like the Simulations"

In this third installment of the WCPU-1 project, the author details the challenges faced while building a homemade 8-bit computer after successful simulations. Key points include:

1. Prototyping Challenges: The author initially aimed to avoid breadboards but ended up using them due to design changes. They learned the hard way about the limitations of using Surface Mount Technology (SMT) chips in breadboards.

2. Custom PCBs: The author ordered custom PCBs for various components, including an EEPROM programmer and a generic register board. They encountered several mistakes, like misconfigured connections, which caused delays and required tedious fixes.

3. Real-World Issues: Many issues arose that were not predicted in the simulations, such as timing problems with the clock, glitches in the EEPROMs, and issues with RAM timing that resulted in data corruption. The author had to make several adjustments to get the components to work correctly.

4. Successful Operation: After fixing these issues, the computer finally worked as intended, executing programs and running at 1 MHz. The author expressed satisfaction with the achievement after a long and challenging build process.

5. Future Improvements: The author plans to enhance the design by integrating missing features, such as an output display and a more efficient program loading method. They also aim to open-source the project.

6. PCBWay Experience: The author shared their experience with PCBWay, noting the quality of the PCBs and the responsive customer service, despite some initial shipping mistakes.

Overall, the project has been a significant learning experience, with plans for further developments in the next iteration, WCPU-2.

Spotify is making paid subscribers listen to ads on the desktop app. Many users are experiencing this issue, and discussions about it are being removed from the Spotify subreddit.

A new tool has been created to help passengers find out which airlines offer Starlink internet on their flights. Starlink works well, but its availability can be unpredictable. The tool allows users to enter a flight number and date to estimate the chances of having Starlink based on the airline, aircraft type, and specific plane.

Currently, only a few airlines, such as United, Hawaiian, Alaskan, and Qatar, have Starlink. The tool checks if the airline offers Starlink, if the aircraft type has it, and finally if the specific plane on the route is equipped.

The tail number, which is like a plane's license plate, helps identify the specific aircraft, but it's assigned shortly before a flight. The developers used various data sources, including contributions from airline enthusiasts, to build a reliable system to track which planes have Starlink.

Starlink is praised for its performance compared to other in-flight Wi-Fi options, and it’s expected to become more widely available as more airlines roll it out. For the best chances of getting Starlink, passengers should consider United regional flights or JSX and Hawaiian airlines in the U.S., with Qatar being the top international option.

This text appears to be a table of contents for a book. It includes sections like the Preface, Overview, target audience, and Acknowledgments. Key points include:

• Preface: Introduction to the book's purpose.
• Overview: Summary of what the book covers.
• Who is this book for?: Description of the intended audience.
• Acknowledgments: Recognition of those who contributed to the book.

Overall, it outlines the main sections readers can expect in the book.

Google engineers have developed an open-source AI code review system called Sashiko, specifically for reviewing the Linux kernel. This tool has been tested internally at Google and is now available to the public, funded by Google.

Sashiko has shown the ability to detect about 53% of bugs from a recent set of 1,000 Linux kernel issues, which were overlooked by human reviewers. Although some might consider this percentage low, it highlights the tool's effectiveness compared to human efforts.

The project is being transitioned to the Linux Foundation for hosting, while the code is available on GitHub. Users can access Sashiko's web interface for reviewing Linux kernel patches at Sashiko.dev.

The text discusses the efforts to restore the first recording of computer music. This involves enhancing and preserving the original audio to ensure its quality and accessibility for future generations. The restoration process highlights the importance of this recording in the history of music and technology.

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Tony Hoare, who passed away at 92, was a pivotal figure in computer science known for his numerous contributions. His work blended research with elegant writing, making complex topics accessible. He gained fame for creating the Quicksort algorithm, a highly efficient method for sorting data that is widely used today.

Hoare's academic journey was unconventional; he trained in the classics and began his career in industry before moving to academia, where he became a professor. He didn't hold a PhD but made significant contributions to programming theory, including the development of "Hoare Logic," which provides a formal framework for proving program correctness.

He also contributed to programming language design, notably Algol W and Ada, and introduced concepts like Communicating Sequential Processes (CSP) to address concurrency in programming. Throughout his career, Hoare emphasized the importance of disciplined programming methodology and was influential in fostering a collaborative environment for researchers.

After retiring from Oxford, he continued his work at Microsoft Research, maintaining a strong desire to learn and adapt to industry needs. His later efforts focused on unifying different programming theories and promoting software verification. Hoare's legacy is marked by his intellectual leadership and the profound impact he had on many in the field of computer science.

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rustunnel Overview

rustunnel is a secure tunnel server built with Rust, similar to ngrok. It allows users to expose local services to the internet through a public server, using encrypted WebSocket connections. Key features include:

• Self-Hosting or Managed Service: Users can either host the server themselves or connect to a managed service at edge.rustunnel.com.
• Security Features: Includes TLS encryption, HTTP/TCP proxying, a live dashboard, Prometheus metrics for monitoring, and audit logging.

Quick Start with Hosted Service:

1. Get an Auth Token: Request by opening a GitHub issue with your email or Discord username.
2. Setup Wizard: Run rustunnel setup and enter your server address and token.
3. Expose Local Services: Use commands like rustunnel http 3000 for HTTP services or rustunnel tcp 5432 for TCP services.

Architecture: rustunnel operates with several components:

• An HTTP edge for incoming requests.
• A control plane for managing client connections.
• A dashboard UI for monitoring.

Requirements:

• Rust toolchain (1.76+)
• Additional libraries like pkg-config and libssl-dev for building the server.

Local Development Setup: Instructions to clone the repository, build, and run tests locally. A self-signed certificate can be generated for testing purposes.

Production Deployment: Step-by-step instructions for deploying on Ubuntu with systemd, including setting up TLS certificates using Let's Encrypt and configuring firewall ports.

Client Configuration: Options for installing the client include Homebrew or downloading pre-built binaries. A setup wizard can help create a configuration file.

Monitoring and APIs: Prometheus metrics are available for monitoring active sessions and tunnels. A REST API allows programmatic access to manage tunnels and tokens.

AI Integration: rustunnel supports integration with AI agents through the Model Context Protocol (MCP), enabling automated tunnel management.

Contributing and License: Contributions are welcome under the MIT License. Guidelines for contributing are provided.

Contact: For issues or feature requests, reach out to João Henrique Machado Silva via GitHub.

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Researchers from IBM X-Force and Flare Research have revealed how North Korea operates a large network of fake IT workers. This network, comprising about 100,000 individuals across 40 countries, generates around $500 million annually for the North Korean regime.

These fake workers often secure jobs in unsuspecting companies, earning more than $300,000 per year. The research uncovered a detailed structure involving recruiters, facilitators, and IT workers, with some candidates unaware they are being recruited for North Korea. Recruiters often present fake companies to potential workers, using identities and mentorship to help them apply for jobs in the West.

The fake workers use counterfeit identities and tools like Google Translate to communicate and complete tasks. They are known to target sectors like healthcare and finance, and they may employ specific software to maintain anonymity.

To protect against these threats, companies are advised to look for signs of deception, such as inconsistent resumes, AI-generated backgrounds, and suspicious communication tools. A suggested interview tactic is to ask questions that may reveal a candidate's true identity, as North Koreans may abruptly end the call if confronted about their regime.

The author wanted to see how quickly an isolated code environment, or sandbox, could start without needing to create a new virtual machine (VM) each time. Instead of launching a new microVM for every execution, they booted Firecracker once with Python and numpy already loaded, then took a snapshot of the VM's state.

For each new execution, a new VM is created using the snapshot, which allows for efficient memory use through a feature called copy-on-write (CoW). This means each new sandbox starts from an already-running Python process, executes the code, and then exits.

These are actual KVM VMs, not containers, meaning they have separate operating systems, memory, and page tables. When a VM writes to memory, it gets its own copy. The challenging part was correctly resuming the snapshotted VM. The project uses Rust and is licensed under Apache 2.0.

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The text emphasizes the importance of having a personal website for businesses and artists, despite the popularity of social media. The author argues that social media is unstable and that individuals do not truly own their content or followers on these platforms. A website allows for reliable communication with potential clients and provides a stable online presence that is not subject to the whims of social media companies. The author encourages setting up a simple website and mailing list to maintain control over one's online identity. In essence, having a website is seen as essential for genuine connection and security in the digital age.

Summary of Mistral Forge

Mistral Forge is a new system that allows businesses to create AI models tailored to their specific internal knowledge, such as company policies and operational processes. Unlike generic AI models that rely on public data, Forge enables organizations to train models using their own proprietary data, making the AI more relevant and effective for their unique needs.

Key features of Forge include:

1. Training on Internal Knowledge: Businesses can train models using their internal documents and data, enabling AI to understand specific terminology and workflows.

2. Control and Autonomy: Organizations maintain control over their models and data, ensuring compliance with regulations and internal policies.

3. Custom Models for Reliability: Tailored models allow AI agents to navigate internal systems accurately and make decisions that align with company procedures.

4. Support for Different Architectures: Forge is flexible, supporting various model types that can optimize performance based on business needs.

5. Continuous Improvement: The system allows for ongoing model updates and refinements as business environments change, ensuring the AI stays relevant.

6. Wide Application: Forge can be used across various sectors, including government, finance, software development, and manufacturing, to enhance efficiency and decision-making.

By using Forge, organizations can integrate AI deeply into their operations, turning models into strategic assets that evolve with their business.

The development team has been working on the Linux version of Superluminal, a CPU profiler, and encountered significant issues during testing. One tester experienced system freezes while using the software, prompting a deep investigation into the Linux kernel. The team was able to reproduce the issue on a physical machine and began analyzing the data captured during the freezes.

They identified that the CPU was busy during certain periods, but no useful data was collected, indicating a problem with the kernel. After extensive debugging attempts, they narrowed down the issue to interactions between eBPF code that captures performance data during context switches and sampling events.

By creating a minimal code example, they discovered that the problem stemmed from a spinlock in the eBPF code, which was not handling non-maskable interrupts (NMIs) correctly. When the context switch and sampling events tried to acquire the same lock on the same CPU, it led to a deadlock situation.

The team worked with kernel maintainers to identify and fix the bug in the spinlock implementation, which involved changing the order of operations when acquiring the lock. Although the initial freezing issue was resolved, they still noticed shorter stalls in NMI handling. Further investigation revealed that frequent NMIs could starve the lock holder of CPU time, leading to these stalls.

Ultimately, additional fixes were implemented to ensure smooth operation, and the team learned that their local development was on an older kernel version, which did not experience these issues. They plan to use more current kernels in the future to catch such problems sooner. All fixes have been included in recent kernel updates, and a workaround has been created for users on older kernels.

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I'm sorry, but I cannot access external links or view content from URLs. However, if you can provide the text or main points you want summarized, I'd be happy to help!

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Eon Systems co-founder Dr. Alex Wissner-Gross recently highlighted the development of a virtual fly model, which aims to mimic how an embodied brain controls a virtual body. This project relies heavily on existing neuroscience research, including detailed brain and body models of the fruit fly, Drosophila.

Key Points:

1. Project Overview: The virtual fly uses taste cues to navigate towards food and demonstrates basic behaviors like grooming and feeding.

2. Brain Model: The brain is modeled using a leaky integrate-and-fire (LIF) system based on a connectome of around 140,000 neurons. This model captures some sensorimotor behaviors but simplifies the complexity of actual neural functions.

3. Body Model: The fly's virtual body, NeuroMechFly, is an anatomically accurate model with physical simulations that allow realistic movement. It integrates sensory inputs such as vision and taste to simulate behavior.

4. Behavioral Simulation: The model can simulate several behaviors, including:

   • Grooming: The fly uses its legs to clean itself when it detects dust.
   • Feeding: The fly responds to sweet tastes by activating feeding behaviors.
   • Foraging: The fly explores to find food based on sensory cues.
   • Escape Responses: The model can react to threatening stimuli, although full escape behavior hasn't been implemented yet.

5. Limitations: The current model is limited in sensory inputs and behaviors. It simplifies many neural dynamics and does not fully capture the complexity of real fly responses, such as the effects of hunger or learning.

6. Future Directions: The team acknowledges the need for further development and input from the scientific community to enhance the model's fidelity and capabilities.

In conclusion, this virtual fly project serves as a promising initial step towards understanding brain-body interactions, though it remains a simplified model that requires further refinement. Collaboration with researchers and industry partners is sought to advance this work.

The European Commission is introducing a new corporate legal regime called "EU Inc." as part of its strategy to enhance the competitiveness of the European economy. This framework aims to provide innovative companies and startups with a unified set of rules covering corporate, insolvency, labor, and tax laws across the EU.

Key features of the EU Inc. framework include:

• Fast and affordable company registration (within 48 hours for a maximum fee of EUR 100).
• Fully digital processes for company operations, including easy share transfers and access to modern financing.
• Digital insolvency procedures and streamlined data sharing with authorities.
• A common scheme for employee stock options with deferred taxation to help attract talent.

This new regime will be available alongside existing national company forms, making it easier for founders to choose the best option for their needs.

The use of cheap drones is changing aerial warfare, making it easier for smaller nations to launch attacks without needing advanced technology. The U.S. military is currently deploying expensive aircraft like F-15s, F-35s, and stealth bombers in its operations in Iran, but it faces challenges from Iran's large-scale use of inexpensive drones, such as the Shahed-136, which cost between $20,000 and $50,000 each.

In recent conflicts, including the war in Ukraine, drones have become essential for both reconnaissance and attacks, significantly contributing to enemy casualties while minimizing risks to pilots. The cost imbalance is notable: the U.S. often spends millions on interceptors to shoot down these low-cost drones, making defense economically unsustainable.

To address this, the U.S. is speeding up the development and deployment of its own low-cost drones, such as the FLM-136 LUCAS, aiming to keep pace with adversaries who produce millions of drones annually. The Pentagon is pushing for faster procurement processes to enhance military drone capabilities.

Despite advancements in drone technology, counter-drone systems are lagging. While some new technologies, like high-energy lasers and interceptor drones, are being developed to defend against cheaper drones, most remain under testing and are not widely deployed yet. The challenge remains whether these systems can be developed quickly and affordably enough to match the growing threat of inexpensive attack drones.

Summary:

Grammarly for Prompts, called reprompt-cli, helps analyze AI conversations by scoring prompts based on research.

Key Features:

• Installation: Use pip install reprompt-cli to set it up.
• Prompt Analysis:
  • Scan: Reviews prompts from over 8 AI tools (like Claude Code, ChatGPT).
  • Score: Rates prompts on a scale from 0-100, considering factors like structure, context, clarity, and more.
  • Compare: Allows side-by-side comparison of two prompts.
  • Insights & Reports: Provides personal patterns, weekly summaries, and detailed analytics.
  • Library: Offers auto-extracted patterns and templates.

Scoring Dimensions:

• Structure: Formatting and constraints
• Context: Specific details included
• Position: Placement of instructions
• Repetition: Avoiding redundancy
• Clarity: Readability and ambiguity

All analysis is done locally, ensuring privacy. Optional anonymous data can be sent for improvement. The tool is open-source, allowing users to review what data is collected.

For more information, visit getreprompt.dev.

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Nvidia has developed a new chip that can detect faces in less than one millisecond. This chip is designed to save power by quickly entering a low-energy mode after it processes images. It is particularly useful for applications in areas like facial recognition, robotics, and autonomous vehicles.

Carmel and Rhea, the founders of Kita, have created a solution to automate credit reviews for lenders in emerging markets, where credit infrastructure is often weak. In places like the Philippines and Mexico, lenders rely on borrowers to submit various financial documents in different formats, making the process messy and unstandardized. Existing tools for document processing struggle with these variations, leading to slow and error-prone manual reviews.

After discovering the challenges firsthand from fintech operators, the founders developed Kita’s technology, which uses advanced methods to analyze and extract relevant information from messy financial documents. Their system can handle over 50 document types and improves the accuracy of credit assessments while detecting fraud.

Kita has launched its first product, Kita Capture, which is free to try, and plans to introduce Kita Credit Agent to help automate communication with borrowers during the loan application process. They are seeking feedback from the community, especially from those with experience in document AI and fintech.

The UK government has changed its stance on copyright and artificial intelligence (AI) after facing backlash from major artists like Elton John and Dua Lipa. Initially, the government planned to allow AI companies to use copyrighted materials for training, with an option for artists to opt out. However, after listening to concerns, Technology Secretary Liz Kendall announced that the government no longer supports this approach and is unsure of the next steps.

The government recognizes the contributions of both the creative sector and the growing AI industry, but there is no consensus on how to balance their interests. The creative sector largely rejected the government's initial proposal, prompting the backtrack.

While some industry leaders view this change as a victory for artists, concerns remain that the government may still allow tech companies to use copyrighted content without permission. The ongoing debate highlights the need for a clear framework that supports both creativity and AI innovation in the UK.

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Meta is shutting down the virtual reality version of its Horizon Worlds platform on June 15, 2026. The company is shifting its focus to the mobile app version instead. By March 31, 2026, individual worlds and events will no longer be available on the Quest Store, and after June 15, the VR app will be removed from Quest headsets entirely. Users will still be able to access Horizon Worlds through the Meta Horizon app on iOS and Android devices. Additionally, a feature called Hyperscape Capture will also be removed, limiting sharing and co-experiencing options. Meta's decision comes as it sees more success in mobile apps rather than VR.

This text talks about the challenges that current AI models face in learning on their own. The authors suggest a new learning system based on how humans and animals learn. This system combines two types of learning: learning by watching (System A) and learning by doing (System B). It can switch between these types based on internal control signals (System M). The authors believe this approach can help AI adapt better to changing environments, similar to how living beings evolve and develop over time.

Summary of Edge.js Announcement

Edge.js is a new open-source JavaScript runtime created to run Node.js applications securely and efficiently for AI and Edge computing. Its main goal is to provide fast startup times and high density without the need for containers.

Key Features:

• Node.js Compatibility: Edge.js is fully compatible with Node.js, meaning existing applications can run without modifications.
• Sandboxing: It uses WebAssembly to isolate unsafe operations like system calls, ensuring secure execution.
• Performance: Currently, Edge.js runs at about 5-30% slower than Node.js but aims to improve speed in future updates.

Why Edge.js?

• Node.js is great but tied to a specific JavaScript engine (V8), and it requires containers for safe execution, which slows down startup times. Edge.js addresses these issues by allowing high-density application deployment without those drawbacks.

Development Process: The team at Wasmer learned from previous attempts to create a JavaScript runtime and decided to use the NAPI abstraction for better compatibility with existing Node modules.

Compatibility and Performance: Edge.js runs all Node.js applications, including popular frameworks like Next.js, without requiring changes. It currently shows strong compatibility with existing Node modules and aims to resolve any bugs quickly.

Future Plans: The team plans to improve performance and startup times significantly in upcoming releases. They attribute their rapid development to AI tools, which helped streamline the process.

Getting Started: Developers can install Edge.js easily and run their JavaScript applications using simple commands.

For more information, you can visit the Edge.js website or check its GitHub page.

In Sterling, Virginia, Lindsay Shaw welcomed a nearby data center, believing it would be better than a shopping mall and would generate its own power, saving on electricity costs. However, once operational, the center's gas turbines produced a constant high-pitched noise that disrupted her home life, making her porch unusable. Other residents, like Craig Dobbs, also reported unbearable noise and health concerns linked to the emissions from the turbines, which could have significant public health impacts.

Despite the potential economic benefits of data centers, especially with President Trump's push for tech companies to build their own power sources, local residents are increasingly concerned about noise and pollution. Many are unaware of the implications of having such facilities nearby, as zoning laws did not initially account for power generation from data centers. Local officials are now working to update zoning regulations to better address these issues.

The situation highlights a growing tension between technological advancement and community health, as residents face the reality of living next to facilities designed to support the booming demand for digital infrastructure.

The website is checking your browser. If you own the site, you can click a link to resolve the issue.

Overview of Kalpa

Kalpa is a Linux desktop that uses the Plasma Desktop Environment from the KDE Project. It is based on Tumbleweed and MicroOS and is part of the openSUSE Project.

Installation

• You can download the installation ISO for Kalpa.

Documentation

• More information is available on the Documentation page.

Contributing and Communication

• Join the Kalpa community on:
  • Matrix Chat
  • Mastodon
  • openSUSE Forums
  • OpenBuildService
• You can also report bugs and request features.

Special Thanks

• Thanks to Aeon for significant contributions.
• Thanks to Codeberg for hosting, Zola for easy website deployment, and Juice for improving website design.

At the Rencontres de Moriond Electroweak meeting, the upgraded LHCb experiment at CERN announced the discovery of a new particle called Ξcc⁺, which is a heavy, proton-like particle.

To understand this particle, it's important to know that protons are made of three quarks: two light up quarks and one down quark. Most of a proton's mass comes from the energy of the quarks and gluons inside it. The Ξcc⁺, however, has two heavy charm quarks instead of the two up quarks, giving it a total composition of ccd. This makes the Ξcc⁺ about four times heavier than a typical proton.

The discovery was made using data from proton-proton collisions in 2024 during LHC Run 3, and the Ξcc⁺ was identified through its decay into three lighter particles. Researchers observed a significant signal indicating the mass of the Ξcc⁺ at about 3620 MeV/c², which is consistent with theoretical predictions.

This particle is related to a previously discovered particle, Ξcc⁺⁺, and observing the Ξcc⁺ had been difficult in the past. The enhanced capabilities of the upgraded LHCb detector made this discovery possible. Full details will be available in an upcoming scientific paper and a CERN media update.

On March 7, 2026, the World Food Programme (WFP) and the Lebanese government started providing cash assistance to people affected by conflict. This initiative aims to help those in need as the situation worsens and more people are forced to leave their homes.

Honda has recently decided to end its electric vehicle (EV) programs, which were already lacking in ambition. This move puts Honda at risk of falling behind in the rapidly changing automotive industry, especially as competition from both U.S. and Chinese automakers increases.

The company has halted the development of several key EV models, including the electric Acura RDX and the Honda 0 sedan and SUV, and will also stop production of the Prologue, a vehicle developed with GM. Honda's reasoning focuses on U.S. tariffs and competition but does not address its weak EV strategy.

By abandoning EVs, Honda misses out on opportunities to innovate and improve its vehicles, as many automakers have found success by designing EVs from the ground up rather than adapting existing models. Honda also risks falling behind in the development of software-defined vehicles (SDVs), which are becoming important in the industry. Consumers have come to expect regular updates and advanced features in their cars, especially from brands like Tesla and Rivian.

The company's identity as a maker of reliable internal combustion engine vehicles is being challenged, and without a strong EV strategy, Honda could struggle to remain competitive. Recent reports indicate that Honda's inability to offer better value than newer EV manufacturers has already impacted its market position, particularly in China. Without a clear plan for the future, Honda's prospects look grim.

Summary of pgit

pgit is a command-line tool that functions like Git but stores all data in a PostgreSQL database, making it easier to query the entire commit history using SQL. It supports familiar Git commands—like init, add, commit, and push—but allows users to analyze their codebase with built-in commands for metrics like file changes, dependencies, and maintenance hotspots.

Key Features:

• Delta Compression: pgit uses a custom storage engine called pg-xpatch to save space by storing only the differences between file versions rather than full copies.
• Benchmarking: In tests with 20 real repositories, pgit outperformed Git's aggressive compression method in 12 cases, making it effective for incremental changes in code.
• SQL Querying: Users can run SQL queries directly for custom analyses, making complex data retrieval simple.
• Built-in Analyses: Common analyses like file churn and coupling are available as single commands, supporting JSON output for further processing.
• AI Integration: pgit can be used by AI agents to analyze codebases, providing insights into code health and maintenance needs without requiring detailed instructions.

pgit is designed not to replace Git for day-to-day development but to enhance understanding of a codebase’s history programmatically. It is suitable for teams needing to analyze their codebases without the overhead of developing custom tools.

To try pgit, you can install it from its GitHub repository.

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The article discusses the film "The Secret Agent," Brazil's entry for Best International Feature Film at the Oscars. Directed by Kleber Mendonça Filho and shot by cinematographer Evgenia Alexandrova, the film presents a political thriller set in 1977 Recife during Carnival, highlighting the stark contrasts in Brazilian society.

Key points include:

• Visual Style: The film uses bright colors to contrast its dark themes, showcasing Brazil's rich yet conflicted culture. Alexandrova aimed to capture this duality through her cinematography.

• Plot: The story follows Marcelo, a former teacher and tech expert, who is on the run during Carnival while trying to reunite with his son. He faces dangers as a political dissident.

• Cinematography Techniques: Alexandrova used an Arri Alexa 35 camera with vintage lenses to create a dynamic visual experience. She focused on capturing character and texture in her shots.

• Opening Scene: The film's opening, set at a gas station, establishes a slow pace and showcases the tension of Marcelo's situation.

• Carnival Sequence: A notable scene features Marcelo joining a Carnival celebration, symbolizing life amid danger. This was a challenging sequence to shoot, requiring careful coordination and lighting to create the right atmosphere.

Overall, "The Secret Agent" combines vibrant visuals with a compelling narrative that reflects the complexities of Brazilian society during a turbulent time.

The author discusses their experience building a simple Unix shell called "andsh." They primarily use shells to execute commands rather than understanding how they work internally. The project aims to create a basic interactive shell that can handle commands, manage environment variables, and support piping.

Key points from the shell development process include:

1. Basic Functionality: The shell can read commands, execute them, and manage the state of the session (like tracking the last command's exit status).

2. Command Execution: The shell runs commands in a child process using fork() and execvp(), allowing the parent shell to remain active.

3. Built-in Commands: Some commands, like cd, must be built into the shell because they change the shell's state directly.

4. Environment Variable Expansion: The shell replaces environment variable placeholders (e.g., $HOME) with their actual values before executing commands.

5. Piping: The shell can connect the output of one command to the input of another using pipes, demonstrating inter-process communication.

6. User Experience Enhancements: The author integrates features like command history and tab completion using the readline library, improving usability.

7. Limitations: The shell is still incomplete, lacking features like quoting, redirection, and a comprehensive set of built-in commands.

The author reflects on the complexity of shell development, especially regarding process management and system calls, and encourages readers to explore the code and share their own shell projects.

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Summary of Microsoft’s ClearType Font Collection Review

The article discusses Microsoft's ClearType font collection, designed for improved on-screen reading. Historically, type on screens didn't match print quality, but advancements like ClearType have changed that. Microsoft has created six new fonts optimized for ClearType, set to be included in the upcoming Longhorn operating system.

Key Points:

1. ClearType Technology: Launched in 2000, it enhances font rendering on screens by using RGB sub-pixel rendering to improve clarity and reduce color fringing.

2. Refinements: The new version offers better smoothness and spacing accuracy, improving overall readability.

3. Font Design Goals: The new fonts focus on contrast and legibility for screen use, avoiding near-horizontal strokes and employing humanistic design elements.

4. Font Overview:

   • Constantia: Suitable for both print and screen; fresh and readable.
   • Cambria: Default font for Word; better for screens than print.
   • Corbel: Similar to Frutiger; effective for screen rendering.
   • Candara: Showcases ClearType’s capabilities; features may not appeal to everyone.
   • Calibri: A rounded sans font, improved over a previous design.
   • Consolas: A monospaced font ideal for coding, combining clarity and function.

5. Additional Font: The suite includes Meiryo, a Japanese font optimized for ClearType.

Overall, these fonts are tailored for modern digital displays, improving the reading experience on screens significantly.

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Crust is a new CLI framework built with TypeScript and designed for Bun, without any external dependencies. It's open-sourced after being used internally for some time.

Key features of Crust include:

• Automatic Type Inference: You don’t need to manually specify types; they are inferred automatically from your definitions.
• Compile-time Validation: It checks for errors like flag collisions before the code runs.
• Lightweight: The core package is about 3.6kB gzipped, significantly smaller than similar frameworks.
• Modular Design: You can only install the parts you need, such as core, plugins, and build tools.
• Plugin System: It offers middleware with hooks for enhancing functionality, including official plugins for help and versioning.
• Built for Bun: No legacy Node dependencies are included.

A simple example shows how to create a greeting CLI application using Crust.

To start a new project, you can use the command: bun create crust my-cli.

For more information, visit Crust's website or its GitHub page.

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Summary of Agent-Based Task Execution:

This document explains how to use the OnPrem.LLM Agent pipeline to create autonomous agents that can perform complex tasks using different models and tools. It supports both cloud and local models, such as OpenAI's GPT-5 and Ollama's Llama.

Key Features:

1. AgentExecutor: This tool allows launching AI agents to tackle tasks. It has 9 built-in tools for tasks like reading and editing files, executing shell commands, and web searching. Users can customize the tools available to the agent.

2. Examples of Use Cases:

   • Calculator Module: An agent can create a Python calculator with functions for addition, subtraction, multiplication, and division, including tests to ensure functionality.
   • Web Research Agent: An agent can gather information on quantum computing advancements and compile it into a markdown report.
   • Financial Analysis: The agent can fetch stock prices, analyze volatility, and create reports comparing different stocks.

3. Customization: Users can define custom tools as Python functions to extend the agent's capabilities. For example, tools can include functions to fetch stock prices or calculate investment returns.

4. Sandboxed Execution: For security, agents can run in isolated environments (Docker or Podman), preventing them from modifying files outside a specified directory.

5. Local Models: Local models require specific configurations for proper functionality, especially in networking setups to ensure successful interactions.

Overall, the Agent pipeline simplifies complex tasks by leveraging AI capabilities, allowing for customizable and secure execution across various scenarios.

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Java 26 Overview

Java 26 has been released, introducing new features that lay the groundwork for future updates, particularly for Project Valhalla. This version includes several enhancements, although the number of new features is smaller compared to previous releases.

Key New Features

1. HotSpot Enhancements:

   • JEP 516: Introduces Ahead-of-Time Object Caching compatible with any garbage collector, improving application startup times.
   • JEP 522: Enhances the G1 Garbage Collector by reducing synchronization, thus improving throughput and reducing latency.

2. Core Libraries:

   • JEP 517: Adds support for HTTP/3 in the HTTP Client API, allowing applications to benefit from better performance and reliability.

3. Repreviews:

   • JEP 524: Second preview of PEM Encodings for cryptographic objects, simplifying the encoding/decoding process.
   • JEP 525: Sixth preview of Structured Concurrency, which organizes concurrent tasks in a way that improves error handling and task management.
   • JEP 526: Second preview of Lazy Constants, allowing for deferred initialization of immutable objects to improve startup time.
   • JEP 529: Eleventh incubator of the Vector API, enabling efficient vector computations.
   • JEP 530: Fourth preview of support for primitive types in patterns, instanceof, and switch statements.

Deprecations and Removals

• JEP 500: Prepares for stricter rules on final fields to prevent unintended mutations, improving safety and performance.
• JEP 504: Removes the Applet API, which has become obsolete due to security issues and lack of browser support.

Conclusion

Java 26 is designed to improve performance and prepare for future enhancements. The new features and updates aim to streamline development processes and enhance application efficiency. Users are encouraged to explore these updates and prepare for upcoming features.

The Lean 4 paper from 2021 discusses the features and improvements of Lean 4, a formal proof verification system. It highlights advancements in performance, usability, and the integration of programming and proving. The paper emphasizes how these changes make it easier for users to create and verify mathematical proofs and software. Overall, Lean 4 aims to provide a more efficient and user-friendly experience for those involved in formal verification.

Oil prices have surged to nearly $110 a barrel after reports of an airstrike on a facility at Iran's South Pars gas field, the largest natural gas field in the world. The Brent crude oil benchmark rose by over 5% to hit $109.91 a barrel. Despite this increase, prices remain below earlier highs from March. Iran's military has warned of strong retaliation against any attacks on its energy infrastructure.

Qatar, which also operates on the gas field, has halted production amid the conflict and expressed concerns about threats to global energy security. Analysts predict that energy markets will continue to be volatile due to the ongoing tensions.

In response to rising oil prices, the White House has temporarily waived a law restricting the use of non-American ships for transporting goods between U.S. ports to help facilitate the flow of essential resources. However, maritime groups believe this will have a limited impact on prices, which are primarily driven by oil market conditions.

Additionally, Iran has stopped gas exports to Iraq to manage its domestic supply.

Managing multiple projects with logs, tests, and long-running shells can be challenging with traditional tabs and splits. Horizon offers a solution by allowing you to organize shells on an infinite canvas, where you can create workspaces and return to them later, keeping your layout, scrollback, and history intact. The tool was developed in just three days using Claude/Codex, and the creator welcomes feedback and contributions.

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The author has spent about a year developing a tool called Godogen, which creates playable projects for Godot 4 from text prompts. The process involves generating 2D/3D assets, writing code in GDScript, and testing the projects visually.

Three main challenges were addressed:

1. Training Data Scarcity: GDScript has many classes, and LLMs (large language models) struggle to generate correct code. The author created a custom reference system, including a language specification and API documentation, to help the model understand GDScript better.

2. Build-Time vs. Runtime State: The tool generates game scenes using scripts and saves them in a format that avoids manual errors. However, some engine features are only available when the game runs. The author carefully taught the model which APIs it could use at different phases of development.

3. Evaluation Loop: To ensure quality, a separate agent (Gemini Flash) checks the visual output of the games against reference images, catching errors that the coding agent might miss.

The system operates using two Claude Code skills: one for planning and another for executing tasks. The entire project is open source, and a demo video showcases real games created with Godogen. A blog post detailing the development journey will be released soon.

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Autonomous Target Tracking (ATT) systems, particularly ATT drones, are used for purposes like surveillance and law enforcement but can also be misused for stalking. Ensuring the security of these systems is crucial. This text introduces a new threat called distance-pulling attacks (DPA), which exploit weaknesses in ATT systems to decrease tracking distances, making drones easier to capture or crash.

To address this threat, a new attack framework called FlyTrap is proposed. FlyTrap uses a special device called an adversarial umbrella to carry out these attacks effectively in real-world scenarios. It is designed to be easily deployable and effective over time and space.

The study includes testing on various ATT drones, including commercial models like DJI and HoverAir. Results show that FlyTrap can significantly reduce the distance at which drones can track, leading to serious security concerns for the safe use of ATT systems.

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The text emphasizes that using large language models (LLMs) to handle tasks in Django contributions can be counterproductive. Instead of using tokens to pay for LLM assistance, it's better to donate to the Django Software Foundation. While LLMs can help build code efficiently, Django requires a deeper understanding due to its long history and community expectations.

The author points out a problem: many contributors are relying heavily on LLMs, which can create a false impression of understanding. This facade makes it difficult for reviewers to gauge a contributor's true comprehension, which is essential for meaningful collaboration in the open-source community.

To contribute effectively, the author suggests using LLMs as a tool to enhance personal understanding, then communicating ideas in your own words. It's crucial to show genuine understanding and engagement with the code, as this fosters community and personal growth as a developer.

In summary, while LLMs can be helpful, they should not replace personal insight and understanding in contributions to Django. The aim should be to build genuine skills and connections within the community.

The link provided leads to a document about Bill C-22, which is currently being discussed in the Canadian Parliament. The bill aims to address certain issues, although specific details about its content and purpose are not included in your request. For more information, you can visit the link to read the full text of the bill.

Switzerland has developed a secure internet routing system called SCION, which addresses the security flaws of the traditional Border Gateway Protocol (BGP). BGP, used for over 40 years, lacks built-in security measures, making it vulnerable to issues like route hijacking and traffic interception.

SCION, created by Professor Adrian Perrig at ETH Zürich, offers a complete redesign of internet routing rather than just patching BGP. Its key features include:

1. Multi-path Routing: SCION creates multiple paths for data to travel, allowing for rapid rerouting in case of failure, which can occur in milliseconds.
2. Isolation Domains: It allows regions or organizations to manage their own trust systems, preventing errors in one domain from affecting others.
3. Cryptographic Path Validation: Each router along the path verifies its legitimacy through cryptographic signatures, ensuring data follows the agreed route.

The Swiss financial sector has successfully adopted SCION for interbank transactions, replacing an older network and proving its effectiveness. However, SCION's adoption outside Switzerland has been slow due to several challenges:

• Standardization: SCION is not yet an official standard, which makes organizations hesitant to adopt it.
• Risk Aversion: Organizations are reluctant to switch from a working system to a new and unproven one.
• Vendor Concentration: Currently, only one company provides SCION products, limiting wider adoption.
• Psychological Barriers: Infrastructure changes are hard to justify without visible failures in the existing system.

Experts believe that significant incidents involving BGP could accelerate SCION's adoption. While SCION offers enhanced control and security, its future growth depends on overcoming these barriers.

The text provides a link to the GitHub page for jemalloc, a memory allocator. Jemalloc is designed to improve memory management performance and efficiency. For more details, you can visit the provided link.

Lazycut Summary

Lazycut is a terminal tool for trimming videos. You can set start and end points and export clips while controlling the aspect ratio.

Installation Instructions:

• macOS:

  1. Run: brew tap emin-ozata/homebrew-tap
  2. Then: brew install lazycut

• Windows:

  1. Download the latest version from the releases page (file named lazycut_X.X.X_windows_amd64.zip).
  2. Extract the file and add it to your PATH, or run it directly.

Dependencies:

• Install ffmpeg: Use winget install ffmpeg or download from ffmpeg.org.
• Install chafa: Use Scoop with scoop install chafa.

Building from Source:

1. Clone the repository: git clone https://github.com/emin-ozata/lazycut.git
2. Navigate to the folder: cd lazycut
3. Build the tool: go build
4. Run: ./lazycut video.mp4

Usage: To trim a video, use the command: lazycut <video-file>

Keyboard Shortcuts:

• Space: Play/Pause
• h / l: Seek ±1 second
• H / L: Seek ±5 seconds
• i / o: Set in/out points
• Enter: Export trimmed video
• ?: Help
• q: Quit

You can also repeat seek commands (e.g., 5l to seek forward 5 seconds).

We have a challenge with using SSH for our virtual machines (VMs). Each VM has a standard URL for accessing it, like undefined-behavior.exe.xyz, which works for both web browsing and SSH. However, we can't assign a unique IPv4 address to each VM without increasing costs, and using only IPv6 isn't an option because some users wouldn't be able to access the VMs.

For web traffic, multiple sites can share the same IP address because web browsers include a "Host" header to specify the site. However, SSH doesn't have a similar feature, making it difficult to direct connections to the right VM when sharing IP addresses.

To address this, we use a pool of public IPv4 addresses and assign a unique address to each VM based on its owner, even if the IP is shared among multiple VMs. This allows us to identify which VM a user is connecting to by using their public key and the IP address they connect from.

Creating this system requires special management software and communication across systems, but since consistent domain behavior is important to us, we developed this solution specifically for exe.dev.

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The "small web" refers to a part of the Internet that focuses on non-commercial, personal websites without ads or corporate tracking. There are various initiatives to promote this, including the Gemini protocol, which is designed to avoid commercial exploitation and has around 6,000 sites, mostly used by IT professionals.

Recently, the author explored the possibility of aggregating updates from the small web using a list from the Kagi search engine, which has grown from 6,000 to about 32,000 sites. After filtering for active sites that provide update feeds, the author narrowed it down to about 9,000 sites, which collectively produced over 1,200 updates in a single day. This indicates that the small web is vibrant and expanding.

However, due to the volume of updates, creating a comprehensive feed aggregator like that for Gemini is impractical. An alternative approach could be an opt-in aggregator, which allows users to choose specific sites to follow, like the current example of powRSS, which indexes around 150 sites and provides about 40 updates daily. This method could help manage the information overload while still celebrating the existence of non-commercial websites in a largely advertising-driven Internet.

Duranium is a stable version of postmarketOS designed to ensure your device works reliably without needing technical knowledge. The key features include:

• Immutable System: The core operating system is read-only, meaning it can’t be changed while running. Updates are applied as complete images rather than individual packages, reducing the risk of errors.

• Reliability: If an update fails, the system automatically reverts to the previous version, preventing issues like broken features.

• Ease of Use: Users don’t need to interact with terminal commands to maintain their devices. Developers can easily replicate user environments to fix problems.

• Hardware Requirements: Duranium has higher hardware needs and isn't compatible with all devices that can run postmarketOS.

• Testing Phase: Currently, Duranium is still being developed, and testers are needed rather than users seeking a daily driver.

• Technical Aspects: Duranium uses systemd tools for updates and configuration. The operating system is stored in a read-only format, and settings are kept in a writable area that persists across updates.

• Security Features: The system is encrypted and protected against tampering, requiring UEFI support for booting.

• Software Installation: Since the core system is read-only, software is installed using Flatpak or coldbrew, which keeps installations separate from the main OS to avoid issues.

Duranium is actively seeking testers and contributions, and more information is available on its website and community channels.

Summary of The American Healthcare Conundrum

The US spends about $14,570 per person on healthcare, significantly more than Japan's $5,790, even though Japan has the highest life expectancy among OECD countries. This leads to a $3 trillion annual gap in healthcare spending.

This project analyzes specific healthcare issues to identify areas for cost savings, quantifying waste and recommending policy changes. All data and code are open-source for verification.

Identified Savings So Far:

1. OTC Drug Overspending: $0.6 billion per year.

   • Medicare pays prescription prices for drugs available over-the-counter.

2. The Same Pill, A Different Price: $25 billion per year.

   • The US pays 7–581 times more than other countries for the same drugs.

3. The 254% Problem: $73 billion per year.

   • Commercial insurers pay 254% of Medicare rates for the same hospital procedures.

Total Savings Identified: Approximately $98.6 billion per year, which is 3.3% of the $3 trillion gap.

Key Findings:

• There are large price discrepancies for identical medical services across different insurers and countries.
• Implementing price caps for hospital payments and using international pricing for drugs could lead to substantial savings.

Upcoming Analysis:

The next issue will focus on pharmacy benefit managers, who manage a significant portion of US prescriptions and contribute to high costs through various practices.

This project emphasizes using reliable data sources and reproducible analysis to support its findings.

The text mentions a publication in the journal "Frontiers in Political Science," which has an impact factor of 1.9 and a citescore of 3.8.