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The author has released version 2.0 of Jido, an Elixir Agent Framework designed for building and managing agents on the BEAM platform. This update includes several key features:

• Support for tool calling and agent skills
• Multi-agent support with supervision across distributed processes
• Various reasoning strategies like ReAct and Chain of Thought
• Advanced workflow management
• Strong data storage and persistence
• Agentic memory capabilities
• Interfaces for external services
• Enhanced debugging and observability tools

The author believes this release is timely, as the BEAM architecture is well-suited for agent-based workloads. They come from a background in enterprise engineering and open source, and are excited about the growing community around Jido. They invite others to join in building agents with the framework.

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The article discusses how to detect USB device plug and unplug events on Linux without using the libusb library.

Key Points:

1. Hotplug Mechanisms: Linux supports two hotplug mechanisms: udev and netlink. It is recommended to use udev, as it helps avoid race conditions during device handling.

2. udev and Systemd: udev has been integrated into systemd, providing a way to manage device events.

3. Netlink Overview: Netlink is a protocol for communication between the Linux kernel and user space. It allows the kernel to send notifications to user space, making it suitable for handling events like device connections.

4. Listening for Events: To listen for kernel events, a netlink socket is created with the NETLINK_KOBJECT_UEVENT protocol. This allows the program to receive messages about device changes.

5. Kernel Event Format: Kernel messages include a list of null-terminated strings that describe the device's action and properties.

6. udev Events: To receive events from udev, the multicast group must be set to MONITOR_GROUP_UDEV. udev messages include a binary header and key-value pairs similar to kernel events.

7. Packet Structure: The udev message format includes a header with magic numbers, sizes, and hashes for filtering. This helps optimize event processing by allowing certain messages to be filtered out before being handled by user space applications.

8. Security Considerations: Messages are sent with credentials to prevent spoofing. The system checks the sender's user ID to ensure only authorized processes can trigger device actions.

In summary, the article provides a detailed guide on how to monitor USB device events in Linux using udev and netlink, highlighting the packet structure and security aspects involved.

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Summary:

PageAgent is an open-source library that allows developers to embed an AI agent directly into their web applications. The idea is to integrate AI more naturally into web apps, instead of relying on external programs. PageAgent creates a client-side agent that can interact with the web page and understand the user's session, making it suitable for single-page applications (SPAs).

To manage tasks across different pages, there's an optional browser extension that lets the web app control the browser with user permission. This approach allows web apps to act as general agents on the web. The creator is seeking feedback on this idea and is open to questions.

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Gobhanu and Saatvik, brothers behind the startup Vela, are creating AI agents for scheduling across different communication channels. Scheduling can be complicated, especially when multiple people and time zones are involved. Vela aims to simplify this by automating the scheduling process, allowing users to book interviews without endless back-and-forth emails.

With Vela, users can connect it to their emails, SMS, WhatsApp, Slack, and more. The AI reads the context, checks calendars, suggests times, and follows up as needed. One of their first clients, a staffing firm, found success in just 10 minutes of onboarding after struggling for years to find a scheduling solution.

The biggest challenge they face is understanding different scheduling behaviors across various roles and demographics. They have been gathering data on how people respond to scheduling requests to improve their AI's performance. Vela also needs to manage conversations smoothly across different platforms and clarify any ambiguities in scheduling requests.

They're currently working with paying enterprise customers and continually learning from new cases. They welcome feedback from anyone experienced in multi-agent coordination or AI. A demo of their product is available online, and they have case studies on their website.

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Greg Kroah-Hartman, the maintainer of the Linux kernel, has decided to extend the support periods for several long-term support (LTS) kernels. This change comes after discussions with major users and other maintainers, reflecting the demand for longer support times.

Historically, LTS kernels have had their support periods extended when they are particularly important to users, and this trend is expected to continue for future releases.

Currently, even though some kernels have officially reached their end-of-life, many enterprise users still run these versions for years, often using services like TuxCare to keep them secure. This allows companies to save money by maximizing the use of older software that is no longer officially supported.

Key changes in projected end-of-life dates for some kernels include:

• 6.12 and 6.18 have been extended to December 2028, while others remain unchanged at December 2026.

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The U.S. has requested Ukraine's assistance in defending Gulf allies against Iranian drones, according to Ukrainian President Volodymyr Zelensky. He mentioned that Ukraine is prepared to help but only if it does not compromise its own defense and provides diplomatic benefits for Ukraine. Zelensky suggested a potential exchange, offering Ukrainian interceptor drones in return for U.S. Patriot air defense systems to protect against Russian missiles.

The ongoing Middle East conflict has raised concerns that Ukraine could be negatively affected if its allies are preoccupied. Zelensky has communicated with leaders from several Gulf countries, promising support to defend their military and civilian infrastructure from Iranian drone attacks.

Zelensky noted that Ukraine has experience dealing with Iranian-made Shahed drones and that other countries are seeking their expertise. He also pointed out that the U.S. has shifted its position, now seeking Ukraine's help after years of limited support during Trump's presidency.

While Ukraine is willing to assist, Zelensky emphasized that any aid must not weaken Ukraine's defense. Ukraine may also aim to strengthen its relationships with Arab nations, some of which have historically maintained ties with Russia. However, providing training and expertise for effective use of air defense systems remains a challenge due to resource constraints within Ukraine.

A new technology has been developed that allows aircraft to connect to geostationary satellites using laser communications, achieving speeds of 2.6 gigabits per second. This breakthrough, led by the European Space Agency (ESA) in collaboration with Airbus and other partners, promises to make high-speed internet on planes, ships, and remote areas as easy as flipping a switch.

During tests in France, the UltraAir laser terminal maintained a reliable connection to a satellite 36,000 km away, even while the aircraft was in motion and facing atmospheric challenges. This technology is seen as a significant advancement because laser communications are more secure and can transmit more data compared to traditional radio waves.

The project is part of ESA’s ScyLight program, which focuses on the development of optical and quantum communication technologies. Experts believe this innovation will enhance connectivity for both commercial and defense purposes, paving the way for a new era of reliable satellite communications.

Summary:

Relicensing in open source is challenging because it typically requires agreement from all contributors, which is hard for older projects. A Python tool called chardet faced issues due to its original LGPL license. Its maintainers recently rewrote the code using AI and changed the license to MIT, but this raised concerns about potential copyright violations since the AI might have used the original code as a reference.

In traditional law, a proper rewrite involves two separate teams to avoid copyright issues. Since the AI had access to the original code, the new version could be seen as a derivative work, which would need to remain under the LGPL.

Additionally, a recent U.S. Supreme Court decision on AI-generated material created complications for the maintainers: if AI-generated code cannot be copyrighted, they might not have the right to license the new version at all. This situation could also lead to the possibility that the AI-generated code is in the public domain.

If AI-assisted rewrites are accepted for changing licenses, it could undermine Copyleft principles, allowing developers to easily switch licenses on GPL-licensed projects. The chardet case is a significant test of these legal and ethical boundaries.

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This blog post introduces a monthly series about Huginn, a tool for discovering phishing attacks. In February, Huginn identified 254 confirmed phishing websites, but Google Safe Browsing (GSB) only flagged 41 of them, meaning that 83.9% went undetected.

Key findings include:

• Detection Performance: Huginn's automatic scan detected 238 of the phishing sites, while a deeper scan caught all 254 with no false negatives. The automatic scan is designed to minimize false alarms, while the deep scan is thorough but may flag legitimate sites as suspicious.

• Phishing Platforms: Many phishing sites (149 out of 254) were hosted on trusted platforms like Weebly and GitHub, making them hard to block without affecting legitimate sites. Some phishing pages were even hosted on Google’s own domains, which GSB failed to flag.

• Brand Targeting: Attackers often impersonate popular brands, with Microsoft being the most targeted. The rise of crypto-related phishing is notable due to the rapid growth and unfamiliarity of the crypto space.

• Attack Techniques: The post describes sophisticated phishing methods, including a two-stage attack where victims are lured to a fake document page before being redirected to a phishing login page. Another example involved impersonating a legitimate scheduling tool to gain trust.

• Overall Takeaway: While Google Safe Browsing is a valuable tool, it has limitations, particularly with novel attacks and those hosted on reputable sites. Huginn aims to fill this gap with its proactive detection methods.

The post encourages readers to try the Muninn tool and report any phishing they encounter to improve protection efforts.

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The article discusses the System Browser in Smalltalk, a tool that has been essential for programming in this language for forty years. While it is good at providing context and exploring class structures, it also highlights issues with how different tools in the programming environment interact.

Key points include:

1. Historical Context: Smalltalk introduced many features now standard in modern IDEs, such as live inspection and easy navigation.
2. Four-Pane System Browser: This interface is effective but has not evolved significantly over the years, leading to a lack of integration with other tools.
3. Context Matters: The effectiveness of programming in Smalltalk relies on understanding the context of messages and methods, which the browser provides well.
4. IDE Problems: The issues often attributed to the browser are actually related to the integration of various tools (like debuggers and inspectors) within the IDE, which can create a chaotic workflow.
5. User Experience Challenges: Users struggle with remembering their navigation path and organizing their workspace, leading to inefficiencies.
6. Incremental Improvements: While Pharo has made iterative enhancements to the IDE, there’s a concern that these won't resolve the underlying issues of tool integration.
7. Future Considerations: The article suggests that a more effective solution might involve rethinking how tools are organized and connected, rather than just improving the browser itself.

The author concludes that the real challenge is creating a cohesive and navigable environment that allows programmers to track their work and the relationships between different tools effectively.

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Summary:

Jails for NetBSD is a new experimental system that provides lightweight isolation for running multiple tasks on a single NetBSD host. It offers strong process separation, enhanced security profiles, managed service execution, unified management, centralized logging, and easy metrics tracking. This system is integrated into the NetBSD kernel, unlike separate virtualization solutions. The aim is to create a simple, efficient model with minimal dependencies and clear operational limits, rather than replicating complex container systems found in Linux. While it enhances security, it still relies on the kernel's correctness, and more robust isolation may require full virtualization. The project aims to improve isolation features in a way that fits well with existing NetBSD administration practices.

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The text discusses a number trick related to calculating derivatives, focusing on how numerical methods can lead to errors due to floating-point arithmetic and "catastrophic cancellation." When trying to measure the slope of a curve using finite differences, selecting a step size that is too small can result in inaccurate calculations as the numbers involved become nearly identical, which amplifies errors.

To address this, the concept of dual numbers is introduced, which consist of a value and its derivative. This allows for exact derivative computations without the need for limits or approximations. The rules of arithmetic for dual numbers follow established calculus principles, making it easy to propagate derivatives through mathematical operations.

The text describes a Rust library called tang that implements this concept, allowing for generic mathematical functions that can accept different types, including dual numbers for exact derivatives. This enables accurate gradient calculations in various mathematical and physical models without the drawbacks of traditional finite difference methods.

The library facilitates optimization tasks by providing exact sensitivities of outputs concerning inputs, making it significantly faster and more efficient than traditional methods. It also supports advanced features for machine learning, including differentiation through linear algebra operations and symbolic computation for GPU acceleration.

Overall, tang is portrayed as a powerful tool for mathematical computing, blending simulation and learning seamlessly while providing exact derivatives without the pitfalls of choosing step sizes.

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On March 4, 2026, significant changes occurred within Alibaba's Qwen team, which recently released impressive open weight models, known as Qwen 3.5. The lead researcher, Junyang Lin, announced his resignation on social media, citing a reorganization within the company that may have influenced his departure. This news has caused concern, as Lin was crucial in the development of Qwen's AI models.

Following Lin's resignation, several other key team members also left, including leaders responsible for various aspects of the Qwen models. The company's CEO acknowledged the importance of these resignations during an emergency meeting, indicating a desire to retain some talent.

Despite these upheavals, the Qwen 3.5 models are noted for their exceptional quality. The new models range in size, with smaller versions performing well in coding tasks. The potential disbandment of the Qwen team is seen as a loss, given their success in creating high-quality AI models. If they form new teams or join other labs, there is anticipation for their future projects.

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Summary:

The article discusses the current state of AI, particularly large language models (LLMs), and their impact on software development. Despite the hype around AI, the results often remain similar to traditional methods. The author argues that it’s perfectly acceptable to avoid using AI in software development, suggesting that it can lead to less stress and more satisfaction.

A key point is that LLMs enable the creation of "forgeries"—imitations of authentic work—at a faster rate. This imitation can undermine the quality of software coding, leading to subpar contributions that lack genuine creativity. The author highlights how this affects open source projects and the coding community, as inexperienced coders may rely on AI tools, resulting in mediocre output.

The article also draws parallels between LLMs and the food industry, emphasizing the importance of authenticity and craftsmanship. It suggests that the influx of AI-generated content risks diluting quality, similar to how counterfeit food products can degrade the reputation of authentic ones.

The author concludes that to improve LLM outputs, it is essential for AI to provide proper source attribution. This would ensure accountability and reduce the prevalence of low-quality, derivative work in the field. Overall, the piece urges a critical view of the reliance on AI in creative and technical processes.

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Summary of OpenBSD on SGI

The story of running OpenBSD on SGI (Silicon Graphics Inc.) hardware traces back to the early days of the MIPS architecture, which was heavily influenced by BSD Unix. Throughout the years, there was a persistent interest in making BSD and later OpenBSD compatible with various SGI systems.

Key Points:

1. Historical Context: Interest in supporting MIPS in BSD dates back to the architecture's inception. Early BSD variants influenced systems like Ultrix and Risc/OS, which ran on MIPS hardware.

2. SGI Workstations:

   • SGI's iconic workstations like the Indigo and Indy were visually striking with colorful cases and unique boot sounds.
   • The O2 and Octane models introduced in the late '90s continued this tradition but faced challenges in terms of hardware compatibility.

3. OpenBSD Development:

   • The effort to port OpenBSD to SGI systems began in earnest in the late '90s, led by developers like Per Fogelström.
   • Despite initial enthusiasm, progress was slow, with various models like the Indy and Octane not fully supported for years.

4. Challenges:

   • A lack of native toolchains for MIPS and specific hardware quirks made development difficult.
   • Various groups, including those working on Linux and NetBSD, also attempted to adapt their systems to SGI hardware, leading to some competition but also collaboration.

5. Milestones:

   • By the late '90s and early 2000s, some SGI models began to run OpenBSD, but it wasn't until 2002 that significant progress was made towards a stable version for these platforms.
   • Ongoing development and community contributions were crucial in overcoming the technical barriers.

6. Future Prospects: The story illustrates a broader narrative of open-source collaboration and the challenges of adapting software to diverse hardware platforms. Despite setbacks, the community's dedication eventually led to successful implementations across multiple SGI models.

In essence, the journey of OpenBSD on SGI hardware is marked by innovation, challenges, and a resilient community striving to make powerful workstations accessible to the BSD ecosystem.

The link provided leads to a webpage about the MacBook Neo by Apple. The page likely includes information about its features, specifications, and design. However, without accessing the actual content, I can't provide specific details. If you need a summary of particular information from that page, please share the text, and I can help simplify it.

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"Dulce et Decorum Est" is a poem by Wilfred Owen that describes the harsh realities of soldiers in World War I. The poem begins by portraying soldiers as exhausted and broken, trudging through mud and suffering from fatigue. Suddenly, they are warned about a gas attack and scramble to put on their gas masks. One soldier struggles and is seen drowning in the gas, symbolizing the horrors of war.

Owen reflects on the traumatic images he witnesses, including the suffering of his fellow soldiers. He criticizes the idea that it is noble to die for one's country, implying that such notions are a lie. The poem ends with a strong message against glorifying war, urging readers to understand its brutal truth instead.

Roboflow is a company focused on building the future of computer vision, a technology that enables machines to see and understand the world around us. They believe that everything visible will be transformed into software, impacting various industries, from sports broadcasting to manufacturing.

Key points about Roboflow:

• Over 1 million developers use their tools, and more than two-thirds of the Fortune 100 companies rely on them.
• They have raised over $63 million from top investors.
• Roboflow values full-stack individuals who take ownership of their work and are willing to learn various skills.
• The company supports remote work but also encourages in-person collaboration through annual gatherings and travel stipends.
• Their mascot is a raccoon, symbolizing curiosity, hard work, and teamwork.

Roboflow offers a range of benefits, including competitive salaries, medical support, unlimited vacation, and stipends for productivity and travel.

They are currently hiring for various roles, inviting people to join their team.

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Dario Amodei, CEO of Anthropic, is upset with OpenAI's Sam Altman over a recent deal between OpenAI and the U.S. Department of Defense (DoD). Amodei criticized OpenAI's acceptance of the deal as "safety theater," suggesting that OpenAI prioritizes employee satisfaction over preventing misuse of AI technology.

Anthropic and the DoD could not reach an agreement because Anthropic wanted assurances that its AI wouldn't be used for domestic surveillance or autonomous weapons, while OpenAI stated its contract includes protections against those uses. Amodei accused Altman of misrepresenting the situation and claimed that the public is more supportive of Anthropic's stance, as indicated by a significant increase in uninstalls of ChatGPT following OpenAI's announcement.

Amodei expressed concern that OpenAI's messaging might influence its employees, despite the general public perceiving Anthropic more favorably.

Poppy is a side project designed to help people stay connected more intentionally. The creator is seeking feedback on the onboarding process, reminders, and user experience. They are also open to answering questions.

MOSS is a creative painting toy where each brush acts like a small program. It allows users to paint on a pixel canvas with unique brushes that can blend, drip, grow, and glitch. Each brush is customizable, letting you change how it works and interacts with colors.

With over 50 brushes available, you can create various effects, from simple paint to complex patterns like vine growth and generative designs. MOSS encourages exploration, often leading to unexpected and enjoyable results.

Once you finish your artwork, you can save and share it with friends, who can then use the same brushes and colors to create their own versions.

The U.S. Nuclear Regulatory Commission (NRC) is an agency that ensures public health and safety by regulating the use of nuclear materials and promoting nuclear power. The NRC issues licenses, conducts inspections, and prepares for emergencies. They are currently working on reforms to improve their processes.

Recently, the NRC approved the construction of a commercial nuclear power plant for TerraPower in Kemmerer, Wyoming. This is the first reactor approval in ten years and the first for a non-light water reactor in over 40 years. The NRC completed its review of the new reactor design in under 18 months, and the permit will be issued soon.

The new plant will have a capacity of 345 megawatts, with a system to temporarily increase output to 500 megawatts. TerraPower must apply separately for an operating license before the plant can start operating. More details on reactor licensing can be found on the NRC website.

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This text is about hardware and software that are used for solar energy systems. It mentions flexible solar charge controllers that can use MPPT (Maximum Power Point Tracking) and PWM (Pulse Width Modulation) technologies. Additionally, it discusses battery management systems (BMS) specifically designed for lithium-ion batteries.

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Don Knuth recently discovered that Claude Opus 4.6, an AI model from Anthropic, solved an open problem he had been working on regarding directed Hamiltonian cycles. This problem involved finding a way to break down a specific type of directed graph into Hamiltonian cycles for values of ( m > 2 ).

Knuth had previously solved the problem for ( m = 3 ), and a colleague, Filip Stappers, made progress for values ( m ) from 4 to 16, leading to the belief that solutions existed for larger ( m ). Stappers posed the problem to Claude, which used various methods to explore and eventually find a solution.

Claude approached the problem by reformulating it and testing different functions and searches. It recognized the graph as a Cayley digraph and devised a "serpentine pattern" that allowed for the construction of Hamiltonian cycles. After many explorations and attempts, including depth-first search and fiber decomposition methods, Claude successfully produced a valid decomposition for odd values of ( m ).

The final solution was implemented in code and validated by Stappers for every odd ( m ) between 3 and 101, confirming that the problem was solved for these values. However, proving the solution's correctness and finding a general proof remains an ongoing task.

Despite this success, the problem of finding solutions for even values of ( m ) remains unsolved, with some partial progress made, but no full solution yet. Knuth praised the collaborative effort and the advances made in automatic deduction and creative problem-solving through AI.

The author shares a personal experience with Vodafone, highlighting a surprising message they received: an offer for free unlimited data and 999,999 minutes for 5 days. The author and their family use a shared mobile phone with two SIM cards, and typically receive promotional messages tied to spending credits. However, this message was unique and unconditional.

Despite initially thinking it was a mistake, the author confirmed they did receive the minutes, but could only use 7,200 of them at a time. They ponder whether the message was sent by a human or an automated system and why they received such a peculiar offer. The author expresses curiosity about the message's origins and reflects on the strangeness of the situation, enjoying their unexpected "million minutes."

Summary:

Glaze by Raycast allows you to create desktop apps quickly by chatting with AI. You can develop apps without needing to code, just by describing what you want. It runs locally on your machine, meaning no internet connection or servers are needed, which helps keep your data secure.

Key features include:

• Local-first: Apps run on your computer.
• OS-integrated: Access your files and tools easily.
• Customizable: Apps can be beautiful and personal.
• Easy sharing: Publish your creations for your team or the public.

Glaze is currently in private beta. To get access, you can join the waitlist, with priority given to existing Raycast users.

You can build a variety of apps, including internal tools and workflow automations. Glaze supports integration with your existing tools and APIs. It offers a free tier with daily credits, and paid plans start at $20/month for more features. Currently, it supports Mac, with plans to expand to Windows and Linux in the future.

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The discussion revolves around why Windows 1.0 did not support overlapping windows, which was a feature introduced in Windows 2.0. There are two main theories: one suggests it was a legal decision to avoid conflicts with Apple and Xerox, while the other argues it was a technical limitation of the window manager.

Some users believe that the capability for overlapping windows existed, as demonstrated by certain applications like Minesweeper. Others point out that Windows 1.0 used a tiling approach, which was a design choice influenced by research from Xerox PARC, rather than a strict technical limitation or legal pressure.

Historical sources indicate that Microsoft intentionally chose a tiling window management system for a more intuitive user experience, especially for those unfamiliar with graphical interfaces. This approach aimed to minimize confusion and avoid losing windows behind others, as the taskbar feature, which shows all open windows, was not implemented until Windows 95.

In conclusion, it appears that the absence of overlapping windows in Windows 1.0 was primarily a design decision rather than a legal or technical constraint.

Caroline Crampton shares her experience as an avid RSS reader, explaining how she consumes content from nearly 2,000 RSS feeds instead of traditional websites. She values RSS for its ability to curate a personalized selection of articles, videos, and podcasts, allowing her to sift through a vast amount of information efficiently.

Crampton highlights the shift in media consumption, noting how RSS feeds offer a raw view of online content, contrasting with curated homepages that present selected articles. She observes that many articles, particularly SEO-driven content, often go unnoticed by casual readers but are prevalent in RSS feeds. This includes product reviews and lists aimed at generating search traffic.

She appreciates discovering unique, human-generated content and emphasizes the sense of community among RSS users, particularly those who share exclusive content through their feeds. Overall, Crampton finds RSS a valuable tool for navigating the modern web landscape.

Summary: Raspberry Pi Pico as AM Radio Transmitter

The Raspberry Pi Pico can be used as a low-powered AM radio transmitter, but check local laws before transmitting radio waves. Unlike regular Raspberry Pi boards that can easily transmit FM signals, the Pico uses a feature called PIO to create a square wave signal at about 1000 KHz. This allows it to emit simple audio frequencies like tones, rather than full audio files.

Using a simple program, the Pico can turn the square wave on and off to produce different pitches. For example, to create a tone of 440 Hz (the note A4), it turns the 1000 KHz signal on and off 440 times a second. This setup can produce retro sounds like the melody "Shave and A Haircut."

In summary, the Pico can create basic AM radio signals and simple sounds, but it cannot play complex audio files.

A KTH student named Gustaf Blomqvist discovered serious security flaws in a children's smartwatch while working on his thesis. He found that the watch had an insecure network service, allowing anyone to take full control of it, which could lead to various security risks, including denial-of-service attacks.

In his thesis titled "Ethical hacking of a Smartwatch for Kids: A Hacker's Playground," Blomqvist demonstrated how easy it is to hack this type of watch. He chose a popular model with many features to maximize potential vulnerabilities. By examining its hardware and systems, he identified weaknesses that had not been previously explored.

Blomqvist was able to access the watch's camera, microphone, and speakers, and could send messages and eavesdrop on surroundings. This raises serious concerns about the security of devices intended for children.

Pontus Johnson, a professor, emphasized the broader implications of Blomqvist's findings, highlighting that many other systems are equally vulnerable, which poses risks to our digital infrastructure.

The article discusses the challenges of managing shared state in Python's asyncio, particularly when using primitives like asyncio.Event, asyncio.Condition, and asyncio.Queue. Each of these tools has limitations that become apparent under real concurrency situations.

The author outlines a scenario where an async application transitions through various states (disconnected, connecting, connected, closing, closed) and needs to coordinate actions based on these states.

1. Polling: The initial approach involves repeatedly checking the state in a loop, which is inefficient and leads to duplicated code across handlers.

2. asyncio.Event: This primitive allows a handler to wait for an event but is limited to binary states, requiring multiple events for different states, which complicates coordination and increases the risk of bugs.

3. asyncio.Condition: This allows waiting for specific conditions but can fail when state transitions happen too quickly, leading to missed notifications if the state changes before the waiting consumer checks it.

The proposed solution introduces per-consumer queues. Each consumer registers its own queue to receive all state transitions, ensuring that no changes are missed, even if they happen rapidly. This method provides a more reliable way to handle shared state and avoids the pitfalls of previous approaches.

The article concludes by emphasizing the importance of using this new ValueWatcher class to manage shared mutable state effectively in asyncio applications, especially in scenarios involving WebSocket connections and task coordination.

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The blog post titled "Stop the interviews!" by Joe Schrag discusses the inefficiencies and frustrations of the current job interview process, particularly in software engineering. A friend of the author faced a grueling 7-hour interview schedule after already having multiple preliminary interviews, but ultimately did not receive an offer. Schrag argues that this lengthy process wastes time for both candidates and companies, especially when decisions are not made efficiently.

He points out that other professions, like medicine, have established systems for assessing candidates, such as certifications and ongoing education, which software engineering lacks. This leads to interviews being poor predictors of job performance, as they rely heavily on subjective judgments and biases.

Schrag highlights that hiring practices often favor internal candidates and referrals due to familiarity, suggesting that the interview process is fundamentally flawed. He calls for a rethinking of how hiring is approached, proposing that building connections and assessing candidates in lower-stakes environments may yield better results.

He also shares his personal experience of job hunting during a difficult economic period, noting the lack of responses from companies and a shift towards contract work as a more viable option for job seekers. Overall, Schrag emphasizes the need for honest discussions about improving the hiring process in the tech industry.

The project took about 4 hours to complete, and the creator had no prior coding experience. It monitors various economic aspects related to the biggest shipping disruption since World War II.

Summary of NeuralCPU Technology

Overview: NeuralCPU is a unique CPU that operates entirely on a GPU, utilizing trained neural networks for all arithmetic operations. Key components like registers, memory, and program counters are represented as tensors.

Key Features:

• Operations:

  • Uses neural networks for addition, subtraction, multiplication, and bitwise operations.
  • No traditional hardcoded arithmetic is employed.
  • Includes advanced techniques like Kogge-Stone carry-lookahead for addition and learned lookup tables for multiplication.

• Installation:

  • To set up, run: pip install -e ".[dev]"

• Execution:

  • Programs can be run with simple commands, supporting inline assembly and execution tracing.

How It Works:

• All CPU functions are performed on the GPU with no reliance on a host CPU.
• Utilizes PyTorch tensors for state management and computational tasks.
• Multiple neural models are employed for various operations, ensuring high accuracy and efficiency.

Performance:

• Benchmarked on Apple Silicon, showing that multiplication is significantly faster than addition, which is contrary to traditional CPU behavior.
• Operations are categorized by their efficiency, with single-pass lookups being the fastest.

Architecture:

• The NeuralCPU functions as a dedicated GPU program, with all components living on-device.
• Two execution modes are available: Neural Mode (uses neural models for operations) and Fast Mode (uses native tensor operations for speed).

Demo and Testing:

• Includes a DOOM raycaster demo showcasing the technology in action.
• Comprehensive testing with 347 automated tests to ensure functionality and performance.

Project Structure:

• Organized into directories for models, kernels, demos, and tests, facilitating easy access and modification.

Conclusion: NeuralCPU represents a novel approach to CPU architecture, leveraging the power of neural networks and GPUs for efficient computation, providing a unique alternative to traditional CPU designs.

Microsoft Outlook users have been experiencing significant email delivery issues due to either a technical fault or overly strict blocking rules. Last week, Microsoft rejected emails from certain IP addresses, causing frustration among users. Affected senders received a "550" error message, indicating their network was on a block list.

The problem has been growing since January, with many users reporting that their emails to Outlook, Hotmail, and similar accounts were not being delivered. This includes various organizations, such as libraries and healthcare providers, who are facing disruptions in sending important communications like invoices and notifications.

While blocking spam is important, the lack of effective communication and resolution from Microsoft has left users feeling helpless, as they often blame their Internet Service Providers for the issues. Microsoft has acknowledged the inquiries but has not provided further comments on the situation. Users are calling for a better process to resolve these email delivery problems to protect their businesses' reputations.

The GoGrouping leaflet is a document that provides information about a service or concept related to grouping or organizing. It uses maps created by OpenStreetMap contributors to help visualize the information. The leaflet likely aims to make it easier for people to understand and use the grouping service effectively.

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In February 2026, a team announced the creation of RE#, a regex engine built in F# that is the fastest in the world, outperforming existing engines like those in .NET. It supports advanced features such as boolean operators (intersection, complement) and context-aware lookarounds while maintaining linear search-time complexity. They aimed to open-source the engine and share their development experience.

Traditional regex engines typically follow either Thompson's NFA construction (providing linear-time guarantees but limited features) or backtracking (offering more complex features but with potential exponential runtime issues). RE# combines the best of both worlds by reintroducing forgotten boolean operators and improving performance through engineering advancements.

Key concepts include:

1. Regex Derivatives: A method to match strings by removing characters one by one, which also simplifies the implementation of intersection and complement operations.

2. Separation of Concerns: By using boolean operators, users can create smaller, manageable regex fragments, making them easier to read and maintain.

3. Minterm Compression: This technique reduces memory usage by grouping characters into classes, enhancing performance significantly.

4. DFA Matching Loop: The algorithm efficiently processes input by using lookup tables, allowing it to mark matches as it scans through the text in both directions.

5. Context Awareness: RE# can handle lookarounds effectively by encoding context in the state, allowing it to identify matches based on surrounding text.

The engine's design emphasizes correctness and performance, ensuring that it can handle real-world applications without the vulnerabilities associated with backtracking engines. The developers expressed their goal of making regex matching intuitive and practical, encouraging users to experiment with the open-source engine and providing a casual explanation of their research.

No summary available.

No summary available.

In 1865, a young blue whale was stranded in Askim Bay near Göteborg. Instead of rescuing it, fishermen brutally killed the whale. August Wilhelm Malm, a taxidermist and museum curator, bought the whale for the Gothenburg Museum. He wanted the whale intact, so it took three steamboats and two coal barges to bring it to shore.

Malm preserved the whale's organs, treated its skin, and created a wooden frame to hold it. The whale was displayed with an open jaw, allowing visitors to enter its belly, which had benches and decorations. For years, it traveled around Europe before settling in the Göteborg Natural History Museum.

Originally, the whale's jaw remained open, attracting many visitors. However, after an inappropriate incident in the 1930s, the museum decided to limit access to special occasions. Today, the Malm Whale is still on display in the museum.

Summary of Devenv 2.0: A Fresh Interface to Nix

Devenv 2.0 improves the developer experience with Nix by making it more user-friendly and interactive while retaining its powerful features. Here are the key points:

1. Interactive Terminal UI: Devenv now provides a live terminal interface that displays structured progress during builds, making it easier to see what is happening and to troubleshoot errors.

2. Native Shell Reloading: Changes to files trigger background rebuilds without freezing the terminal, allowing users to continue working. Errors are displayed in the status line without interrupting the session.

3. Built-in Process Manager: The new Rust-based process manager simplifies dependency management and enables processes to run in the background, automatically restarting when needed.

4. Improved Performance: Devenv 2.0 significantly speeds up configuration evaluation by using a C API, which allows for incremental caching and quicker command execution.

5. Polyrepo and Out-of-Tree Support: Users can now easily reference configurations from other repositories and use a single configuration across multiple projects.

6. Automatic Port Allocation: Devenv finds available ports automatically, preventing conflicts when multiple processes are running.

7. Secret Management: The new SecretSpec feature helps manage sensitive information securely, ensuring secrets are not leaked to background processes.

8. MCP Server: The MCP server provides package and option search capabilities, and a public instance is available for public queries.

9. Language Server Support: Built-in support for language servers enhances the coding experience with features like code completion and diagnostics.

10. Breaking Changes: Users need to be aware of certain breaking changes and deprecations from the previous version, including the removal of some features and adjustments to outputs.

Overall, Devenv 2.0 aims to make the development process smoother while taking full advantage of Nix's powerful capabilities.

The author expresses frustration with the cluttered right-click menu in a fresh installation of Firefox on MacOS. They note that there are 26 options, many of which are unnecessary or confusing, like "Ask an AI Chatbot" and "Copy Clean Link." The author suggests that Firefox should improve the menu by allowing users to easily customize it, similar to the "Customize Toolbar" feature.

To reduce the clutter, they provide a list of settings in Firefox's configuration (about:config) that can be changed to disable various unwanted options. After making these changes, the menu is reduced to 15 options, but some still remain, such as "Bookmark Link..." and "Save Link As...," which cannot be removed through simple settings.

The author highlights the challenge for new users in navigating these settings and suggests that Firefox could benefit from a more user-friendly customization system for the right-click menu. They also mention that some remaining options can only be removed by creating a custom userChrome.css, which they plan to explain in a future post.

espflash Summary

espflash is a command-line tool and library designed for flashing firmware onto Espressif ESP8266 and ESP32 microcontrollers using a serial (UART) connection.

Supported Chips:

• ESP8266
• ESP32
• ESP32-S2, S3, C2, C3, C6, H2 (including ESP8684)

Installation:

• Download prebuilt binaries from the "Releases" section or install via Go with:

  go install tinygo.org/x/espflash@latest
  

Usage:

• Flash a single binary:

  espflash -port /dev/ttyUSB0 firmware.bin
  

• Flash with specific settings:

  espflash -port /dev/ttyUSB0 -offset 0x10000 -chip esp32s3 app.bin
  

• Flash multiple images (like bootloader and application):

  espflash -port /dev/ttyUSB0 -bootloader bootloader.bin -partitions partitions.bin -app application.bin
  

• Erase flash memory before writing:

  espflash -port /dev/ttyUSB0 -erase-all firmware.bin
  

Library Installation:

• Use:

  go get tinygo.org/x/espflash/pkg/espflash
  

Features:

• Auto-detection of connected ESP chips.
• Compressed firmware transfers for faster flashing.
• Support for flashing multiple images at once.
• Real-time progress monitoring.
• Data integrity verification after flashing.

Basic API Usage:

1. Create a Flasher:

   flasher, err := espflash.NewFlasher("/dev/ttyUSB0", nil)
   

2. Flash a firmware binary:

   err := flasher.FlashImage(data, 0x0, progressCallback)
   

3. Erase flash or specific regions, and reset the device.

Architecture: The library is structured in layers, handling everything from protocol framing to high-level flashing operations.

Protocol Features:

• Uses SLIP framing over UART.
• Command/response protocol with checksum verification.
• Supports compressed writes and MD5 verification of flashed content.

Summary of "Daemon"

"Daemon" is a 2006 techno-thriller novel by Daniel Suarez. The story revolves around a computer program called a daemon that activates after the death of its creator, Matthew A. Sobol, a programmer at Cyberstorm Entertainment. Sobol, fearing for humanity's future, designs the daemon to help impose his vision of a new world order.

Key points include:

• The daemon begins its mission by killing two programmers who helped create it and takes control of various companies to gather resources.
• It creates advanced technologies like driverless cars and robotic motorcycles, and establishes a hidden online network called the Darknet for its operatives.
• The plot follows several main characters:
  • Pete Sebeck, a police detective framed by the daemon, who ultimately becomes an unwilling participant in its plans.
  • Jon Ross, a hacker who tries to help the government stop the daemon but ends up on the run.
  • Agent Roy Merritt, an FBI agent who faces danger while trying to contain the daemon's influence.
  • Natalie Philips, an NSA cryptographer leading the anti-daemon task force.
  • Brian Gragg (Loki), a sociopath who becomes the first operative of the daemon.

The novel explores themes of technology's impact on society, government control, and the struggle for freedom. It was followed by a sequel titled "Freedom™" in 2010. A film adaptation has been discussed but remains unproduced.

No summary available.

No summary available.

The text provides a link to a GitHub project called "stacked-game-of-life." This project is likely related to a version of the Game of Life, a cellular automaton created by mathematician John Conway. The project can be found at the provided URL.

Summary of "A Bit of Fluid Mechanics from Scratch Not from Scratch"

In this blog post, the author explores fluid mechanics concepts, particularly in relation to microfluidics, in a reflective and informal manner. Here are the main points discussed:

1. Static Pressure Gradients: The author questions why fluids in a static state (like water in a tank) do not accelerate despite pressure gradients. They conclude that gravity balances the upward force from pressure gradients, resulting in no movement.

2. Spouts and Acceleration: The author analyzes water flowing from a spout and how it accelerates. They grapple with the idea that water must be moving at a constant velocity within a pipe, leading to confusion about how acceleration occurs just before exiting.

3. Height Paradox: There’s a discussion about how the speed of water exiting a spout depends on the height of the water column. They explore the implications of adding a longer pipe and the resulting acceleration of water, questioning the conservation of mass.

4. Equivelocity Curves: The author considers what pipe shape would maintain a constant velocity across different slices of the flow, pondering how gravitational forces influence water's acceleration and the necessity for a pipe to narrow as water flows.

5. Sideways Pressure: They contemplate the sideways pressure in a narrowing pipe and how water is pushed toward the center. The author questions the nature of pressure in constant versus variable-width pipes.

6. Generalizing Fluid Dynamics: The post concludes with a distinction between different fluid dynamics scenarios: static (stationary water), constant velocity (moving but not accelerating), steady states (constant velocity and acceleration), and dynamic (time-dependent changes).

Overall, the author engages in a thoughtful examination of fluid mechanics, raising questions and insights while exploring the complexities of how fluids behave in various conditions.

No summary available.

This page lists various resources for learning graphics programming, organized by meetup attendees. Here are the key points:

1. Beginner-Friendly Resources: There are curated resources for beginners to help them start in graphics programming.
2. Learning Platforms:
   • Learn OpenGL: A comprehensive tutorial on real-time rendering techniques using OpenGL.
   • Ray Tracing in One Weekend: A series of online books on path tracing basics.
   • CMU's Introductory Course: A thorough introduction to computer graphics.
   • Dartmouth CS87: A course bridging basic and advanced rendering techniques.
3. Books and Articles:
   • Physically Based Rendering: A reference on rendering techniques.
   • Game Programming Patterns: Covers design patterns in game development.
   • The Graphics Codex: A free book on shading and rendering projects.
4. Online Tutorials and Courses: Topics include Vulkan programming, WebGPU tutorials, shadow mapping, and more.
5. Technical Papers: Classic papers on topics like the rendering equation and Monte Carlo rendering.
6. Practical Guides: Tips on avoiding common errors in OpenGL and best practices for Vulkan programming.
7. Videos and Lectures: Educational videos on various graphics topics, including Monte Carlo methods and mesh structures.
8. Specialized Topics: Resources covering advanced areas like global illumination, bounding volume hierarchies, and real-time collision detection.

Overall, the page serves as a comprehensive guide for anyone interested in graphics programming, offering a variety of resources for different skill levels.

No summary available.

No summary available.

The text appears to be about checking a web browser, suggesting that the process is quick and will only take a few seconds.

The author shares their perspective on why Product Managers (PMs) at Meta should avoid coding features themselves. Here are the key points:

1. Focus on Prioritization: PMs should prioritize important features rather than trying to implement them themselves.
2. Cost Concerns: PMs coding may not be efficient, as they often have lower coding skills compared to their salary level, leading to potential technical debt.
3. Limited Impact: Coding by PMs is often superficial and does not lead to substantial product improvements.
4. Better Communication: Coding can help PMs better convey their ideas and understand the systems they work with.
5. Realistic Experiments: PMs should conduct actual experiments with users rather than relying solely on static prototypes.
6. Leverage Unique Skills: PMs can use their unique knowledge and experiences to add value without coding.
7. Build Evaluations: For PMs working in AI, focusing on building evaluations (EVALS) is crucial.

Overall, the author emphasizes that PMs should focus on their core responsibilities and collaborate effectively with engineers instead of coding directly.

No summary available.

No summary available.

Summary:

A person is excited to share that IKEA's BILLY bookshelves are perfect for storing old computer motherboards, like Baby AT and Micro ATX builds. They can easily slide the boards out for work, keep all components intact, and still have space for drives and cables. The glass doors protect them from dust, and the shelves don’t take up much vertical space, allowing for multiple boards.

They also consider the possibility of using PicoPSU power supplies in these boards, creating a setup similar to a server rack for old desktops. This setup would make it easier to manage connections without cluttering their desk. The individual plans to create a diagram to illustrate this idea and is considering adding more shelves for their growing collection of tech items.

No summary available.

No summary available.

Meta's new smart glasses, marketed as an all-in-one assistant, have raised serious privacy concerns. Investigations reveal that workers in Kenya, who annotate data for Meta, are exposed to highly sensitive videos recorded by users, often without their knowledge. These include intimate moments like bathroom visits and explicit content.

The glasses are promoted as tools that enhance privacy and daily tasks, but the reality is troubling. Data annotators describe their discomfort with viewing private life moments, emphasizing that they are bound by strict confidentiality agreements and fear job loss if they speak out.

Despite claims that users can control their data, investigations show that information is frequently sent to Meta's servers, leading to questions about transparency and consent. Experts warn that many users may not fully understand what data is collected and how it is used, especially in light of GDPR regulations in Europe.

Ultimately, while Meta's glasses are presented as helpful devices, the underlying data collection practices raise significant ethical concerns about privacy and user awareness.

Cekura, created by Tarush, Sidhant, and Shashij, is a tool designed to help teams test AI voice and chat agents effectively. After 1.5 years of focusing on voice simulations, they expanded to chat. The main challenge they address is the difficulty of manually quality-assuring AI agents, which can lead to issues when new prompts or models are introduced.

Instead of relying on manual checks, Cekura uses simulations with synthetic users that mimic real interactions, while AI judges evaluate the agents' responses throughout entire conversations. This approach includes:

1. Scenario Generation: Cekura creates test cases from agent descriptions and learns from actual user conversations to adapt tests to evolving user behavior.

2. Mock Tool Platform: It allows agents to interact with defined tools without impacting live systems, making tests faster and more reliable.

3. Structured Test Cases: Cekura uses structured conditions for testing, ensuring consistent evaluation across runs, which makes identifying real regressions easier.

Unlike other tools that focus on individual interactions, Cekura assesses the entire conversation, catching issues that may arise from how turns connect to each other.

Cekura offers a 7-day free trial with paid plans starting at $30/month. A product video is available for demonstration, and the team is interested in hearing from the community about their testing experiences with AI agents.