Valve has released CAD files for the Steam Controller, allowing modders to create custom add-ons like skins and charging stands. These files include designs for the controller's outer shell and other components, ensuring that users know which areas must remain clear for proper function. The release is under a Creative Commons license that permits non-commercial use, requiring credit and sharing of modifications. Commercial developers can contact Valve for collaboration. Overall, this move encourages creativity within the community, especially for accessories like smartphone clips.

Summary: May 6, 2026 - Appearing Productive in The Workplace

In the age of AI, workers can produce seemingly expert work without real expertise, leading to significant issues. This phenomenon is primarily seen in two ways: novices creating advanced work that mimics experienced professionals, and individuals generating work in fields they lack training in. Both issues result in poor quality output, but the latter is particularly concerning.

Many employees, with limited skills, are using AI tools to create complex systems, often without understanding them. For example, one colleague spent months building a system that was fundamentally flawed but appeared impressive due to AI-generated outputs. This disconnect between actual knowledge and produced work reflects a broader trend where management prioritizes appearances over substance, often ignoring the risks involved.

AI tools tend to make users overconfident, producing work that may look good but lacks accuracy. As a result, the traditional link between a person's competence and the quality of their work has weakened. Novices can now generate outputs that do not reveal their lack of expertise, leading to a decline in learning opportunities and the quality of future work.

Moreover, the cost of creating documents is dropping, while the effort to read and understand them is increasing, leading to a proliferation of unnecessary paperwork. This "slop" dilutes the quality of communication and hinders productivity.

To address these challenges, it’s essential to use AI tools in a way that allows for human oversight and judgment. Humans should verify AI outputs rather than rely solely on them. By maintaining a clear distinction between human skills and AI-generated work, firms can preserve trust and ensure quality in their deliverables, avoiding the pitfalls of over-reliance on AI.

In 2023, Val Town transitioned from using Supabase to a conventional database and selected Clerk for authentication. However, by late 2023, they faced issues with Clerk and ultimately switched to Better Auth a month ago. Despite Clerk's success and substantial funding, Val Town encountered significant challenges with Clerk, especially regarding rate limiting and reliability. Clerk's system complicated user management, particularly for social features, creating a need for syncing data between Clerk and Val Town's database. Additionally, Clerk became a single point of failure; if it experienced outages, it affected the entire site.

Val Town delayed switching due to the time and effort needed for such transitions and because Clerk had some effective features. However, Better Auth emerged as a better solution, offering high code quality and independence from third-party services. It also allows Val Town to manage its own user data without relying on external authentication for session management. The transition to Better Auth was facilitated by support from robots, allowing a smooth dual operation during the switch.

Overall, the experience highlighted the importance of carefully considering vendor reliability and fitting solutions to specific needs in software development.

Musk's AI business is facing serious challenges, and a trial is starting that could make things worse. This situation might lead to significant changes in his company and its future.

Summary of "A Theory of Deep Learning" by Elon Litman

In this piece, Litman explores the complexities and paradoxes of deep learning, drawing parallels to Borges' story about Funes, who could remember everything but struggled to think. This analogy highlights how, in deep learning, having vast amounts of data and parameters does not guarantee comprehension or generalization.

Deep learning often defies classical statistical learning principles, particularly the bias-variance tradeoff. Instead of the expected performance drop with increased model complexity, deep networks can achieve low test error even while memorizing training data, a phenomenon termed "benign overfitting." This leads to the concept of "double descent," where error rates initially rise but then fall again as model capacity increases.

Litman suggests that the behavior of deep learning models can be better understood through the empirical Neural Tangent Kernel (eNTK), which tracks how predictions evolve during training. By focusing on the dynamics of output rather than the complexity of parameters, the theory aims to clarify how networks learn to generalize despite their overparameterization.

The author proposes a new approach to training that targets true generalization directly, minimizing reliance on traditional validation methods. Additionally, he suggests that by understanding the role of overparameterization, researchers can design more efficient models that maintain the benefits of larger architectures without unnecessary complexity.

Overall, Litman's work pushes for a deeper understanding of generalization in deep learning, proposing innovative directions for future research and model development.

The author recently conducted an overdue experiment to test structured-generation algorithms in coding, focusing on whether they produce the correct token distribution rather than simply accepting strings. They found that while coding agents are changing how individuals write code, there's skepticism about whether this will significantly speed up the software industry as a whole. The real challenge lies in collaboration among teams, which has always been the core of software development.

The bottleneck in coding now shifts from coding itself to producing clear specifications for what needs to be built, putting more pressure on management. As coding becomes cheaper, there is a risk of teams taking on too many features, which can dilute focus and effectiveness. Successful companies will need to prioritize clarity and shared understanding, or "context," among team members to ensure effective collaboration.

The author notes that while coding agents can assist with coding tasks, they lack the ability to grasp the informal, shared context that humans naturally accumulate through collaboration. Efforts to externalize this context into a knowledge base can help agents and new team members understand the reasoning behind past decisions. However, this knowledge will always be incomplete compared to the rich, informal understanding humans build.

Ultimately, companies that succeed in using coding agents will be those that maintain strong organizational coherence and culture, rather than just focusing on technical capabilities. The integration of agents into company culture is crucial for maximizing their potential. The author plans to share more insights from the experiment in the future.

The text outlines different types of email templates available for various purposes, including:

1. Product Launch: Features a hero image, product features, and a call-to-action (CTA).
2. Newsletter: A weekly summary with a highlighted article and links.
3. Welcome Email: Provides onboarding steps for new users.
4. Order Confirmation: Summarizes ordered items and shipping details.
5. Event Invitation: Includes event specifics like date, time, and RSVP instructions.
6. Password Reset: Contains a simple link to reset a password.
7. Black Friday Sale: Promotes products with discounts.

Users can also start from scratch with default settings or easily import existing templates from platforms like BeeFree, Unlayer, or HTML. The text mentions additional features available in the Cloud version, such as real-time collaboration and an AI writing assistant.

The text describes a project involving the development of a quadrupedal robot named CARA 2.0, which is the upgraded version of a previous model created by the author. The author initially gained recognition from a viral video about a capstan drive, leading to many inquiries about this technology. CARA 2.0 was designed as a low-cost (under $1000), lightweight (under 20 lbs), and durable robot suitable for hobbyists and researchers.

To keep costs down, the team focused on creating a low-cost dynamic actuator, inspired by the work of Ben Katz on the MIT Mini Cheetah project. They aimed for each actuator to cost around $50 to $60, significantly lower than the $250 per actuator used in the previous model. The text also mentions the specifications of the actuator components used in CARA 1.0 compared to those chosen for CARA 2.0.

For those interested in building their own CARA 2.0, the author offers a full build guide on their Patreon, along with free access to the bill of materials.

Here's a simplified summary of the blog post about setting up a Sun Ray server:

1. Introduction: The author decides to try setting up a Sun Ray server (SRSS) on OpenIndiana Hipster 2025.10, after receiving mixed feedback from others trying to do the same.

2. VM Setup:

   • The author shares their configuration for creating a Proxmox VM:
     • Use the OpenIndiana Hipster 2025.10 Live DVD.
     • Set the guest OS to "Solaris Kernel" with specific settings for CPU, memory, and disk.
   • Additional configurations are needed before starting the VM.

3. Installing OpenIndiana:

   • Boot the VM and use the GUI installer for OpenIndiana.
   • After installation, update the system and enable an additional repository.

4. Installing Sun Ray Server Software:

   • Install required packages and download the Sun Ray Server Software (version 5.4.0.0) from Oracle.
   • Extract the software and configure it with package management commands.

5. Manual Dependencies:

   • Install a compatible Java Runtime Environment and Apache Tomcat from the Sun Ray software package.

6. Patching:

   • Apply necessary patches to make the Sun Ray server compatible with OpenIndiana.

7. Configuration:

   • Run the initial configuration for the Sun Ray server, providing options for web administration and setting up connections.

8. Client Connection:

   • Configure DNS entries for Sun Ray clients to connect to the server.
   • Instructions for accessing the inbuilt menu on the Sun Ray DTU to connect to the server.

9. Firmware Setup:

   • Extract firmware files from another Sun Ray Server Software package and set up a TFTP server for firmware updates.

10. Web Administration:

    • Access the Sun Ray web administration interface through a web browser to manage connected devices.

11. Conclusion: The author hopes this guide helps those who have struggled with setting up the Sun Ray server on the new version of OpenIndiana.

This text discusses how to improve smartphone photography by focusing on key technical aspects rather than just the photographer's skill. Here are the main points:

1. Photographer's Intent: There is a difference between casual photographers who want clear memories and artistic photographers who embrace creative techniques.

2. Camera Quality Factors:

   • Grime on Lens: Always clean the lens to avoid blurry photos caused by fingerprints or dust.
   • Focus: Tap your subject to ensure it's in focus and be aware of the camera's minimum focus distance.
   • Movement: In low light, any movement can blur photos. Keep the camera steady and take multiple shots to choose the best one.

3. Noise and Detail:

   • Low light increases noise in photos, which can be reduced through software processing but may also lose detail. Use bright environments or "night sight" modes for better results.
   • Larger camera sensors capture more light and detail than smaller ones, affecting photo quality.

4. Megapixels:

   • More megapixels allow for better zooming and printing, but they are irrelevant if the photo is blurry. The sensor size is more crucial for detail.

5. Exposure:

   • Proper brightness is essential. Smartphones use HDR to balance bright and dark areas, but results vary by device.

6. Software Processing: Smartphones enhance images using various software techniques, including auto white balance and HDR. Users should know what processing is happening and adjust settings accordingly.

7. Tips for Better Photos:

   • Clean the lens, focus on subjects, hold still, take multiple shots, use good lighting, and adjust brightness carefully.

8. When Buying a New Phone: Look for a larger sensor and prioritize sample photos over megapixel counts.

In conclusion, while there are technical aspects to consider for better photos, experimentation and creativity are also encouraged in photography.

Summary: Life During Class Wartime

The text discusses the ongoing class war where the wealthiest 0.1% are gaining more power and wealth, while most people are struggling. Wealth inequality is worsening, with stark contrasts between the rich and the poor evident in daily life.

Key points include:

• The class war is unchosen and detrimental to society, leading to a growing divide that seems to create a hereditary aristocracy.
• The effects of wealth inequality are both harmful and inefficient, contributing to issues like unaffordability and homelessness.
• The rich often avoid paying fair taxes through loopholes, allowing them to preserve their wealth across generations.
• A proposal for a wealth tax is suggested as a solution to generate revenue for public services without harming the lifestyles of the wealthy.
• Some wealthy individuals support higher taxes to help society, indicating not all wealthy people are against progressive taxation.
• Ultimately, the text argues that to address these issues, society must mobilize for change through democratic means, rather than violent revolution.

The author emphasizes the need for a fairer tax system to create a more equitable society.

Many people still use Google search in a traditional way: typing a few words, scrolling through results, and hoping to find what they need. However, a recent study shows that nearly 60% of searches end without a click on a website, with AI-generated summaries often providing answers directly on the search page. This means users are getting information without visiting original sources, which can lead to differing results for the same query based on personal search history and location.

To improve search results, users can employ various techniques in Google, such as:

1. Site Limiting: Use site: to search within a specific website.
2. Numeric Ranges: Use two periods between numbers (e.g., $500..$800) to filter results by price or year.
3. Verbatim Search: Activate Verbatim mode to see results matching your exact query.
4. Quotation Marks: Enclose phrases in quotes to find exact matches.
5. Minus Sign: Exclude words by placing a minus sign before them.

There are also advanced techniques like using filetype: to find specific document types and intitle: to filter results by page titles.

The text advises against over-relying on AI-generated answers and highlights the importance of checking sources. It also encourages users to be aware that their search results may differ from others due to personalization.

For those seeking alternatives to Google, several options exist:

• Kagi: A paid ad-free search engine.
• DuckDuckGo: A privacy-focused search engine.
• Brave Search: Independent and privacy-oriented.
• Startpage: Provides Google results without tracking.
• Perplexity: Offers AI answers with cited sources.
• Library Databases: Access academic and primary sources through local libraries.

Understanding how to effectively use search tools is crucial in today's information-rich environment, where traditional mediation from professionals like librarians is less common. Learning to search intelligently can help users navigate information overload and find reliable sources.

More than 50 countries, including major oil producers and consumers, are meeting in Colombia to discuss transitioning away from fossil fuels. This conference comes after disappointing progress at previous climate talks, where countries agreed to phase out fossil fuels but failed to reach a consensus. The event, held in Santa Marta near a fuel storage terminal, highlights the conflict between climate goals and fossil fuel reliance.

The gathering aims to create practical solutions for the fossil-fuel transition, with discussions about developing global and national road maps. However, key emitters like the U.S., China, and India, as well as major oil producers like Saudi Arabia and Russia, are absent from the talks.

The ongoing energy crisis, partly due to the Iran war, underscores the need for renewable energy, but it also encourages short-term solutions like increased drilling. Colombia's leftist President Gustavo Petro has advocated for reducing fossil fuel reliance, but his administration faces challenges, including rising domestic energy demands and upcoming elections that could shift energy policy back towards fossil fuel expansion.

Overall, despite the difficulties, the conference marks a significant step in global discussions about addressing climate change caused by fossil fuels.

Summary of "Learning the Integral of a Diffusion Model"

This text discusses advancements in sampling from diffusion models, particularly focusing on a new approach called flow maps. Here are the key points:

1. Diffusion Models Overview: Sampling from diffusion models involves an iterative process where a denoiser predicts directions to transform noisy samples into data samples. This is akin to calculating an integral across noise levels.

2. Flow Maps Introduction: Flow maps can predict any point on a path between noise and data, allowing faster and more efficient sampling compared to traditional methods that predict only tangent directions.

3. Training Flow Maps: There are multiple ways to train flow maps, often involving complex terminology and methods. The process can be simplified by understanding three main consistency rules: compositionality, Lagrangian consistency, and Eulerian consistency.

4. Sampling Algorithms: There are stochastic (random sampling) and deterministic (fixed sampling) methods for diffusion models, both of which maintain the distribution of noisy examples at different time steps.

5. Importance of Denoisers: The denoiser is crucial for guiding the sampling process along unique paths that connect noise to data samples. The paths cannot cross, ensuring a clear direction for sampling.

6. Flow Map Functionality: Flow maps allow for efficient sampling by enabling direct jumps from one point on a path to another, simplifying the sampling process and reducing the number of steps needed.

7. Training Techniques: The training of flow maps can be done from scratch or by distilling knowledge from existing diffusion models. Techniques include self-distillation and using consistency-based loss functions.

8. Challenges and Practical Considerations: Training flow maps can be complex due to high-dimensional data and the need for efficient gradient calculations. Various methods exist to simplify this, including using stop-gradient operations to manage gradients effectively.

9. Applications and Future Work: Flow maps represent a significant advancement in the field of generative modeling, with potential applications in areas requiring efficient data sampling from complex distributions.

This summary captures the essence of the text, highlighting the purpose and implications of flow maps in enhancing the efficiency of sampling from diffusion models.

The main theme of the text is the critique of "knitting bullshit," which refers to the low-quality, AI-generated content about knitting that lacks depth and authenticity. The author draws on philosopher Harry Frankfurt's definition of "bullshit," explaining that it differs from lies in that it is indifferent to truth and reality. The author highlights how AI-generated podcasts and videos, like those from Inception Point AI, produce vast amounts of content without proper research or editorial oversight, leading to shallow and misleading representations of knitting.

In particular, the author critiques an AI-generated knitting podcast that claims to explore the history and intricacies of knitting but ultimately provides a superficial experience filled with vague emotional statements rather than valuable information. The author expresses disappointment that these AI creations replace the rich, human-centered narratives and genuine expertise within the knitting community with hollow content aimed solely at generating views and downloads.

The text argues that while some may find enjoyment in this AI-generated content, it undermines the real history, creativity, and community that knitting represents. The author advocates for supporting actual human creators and their contributions to the craft instead of engaging with AI-driven content that trivializes the art of knitting. Ultimately, the text emphasizes the importance of maintaining a connection to the true essence of knitting through human experiences and expertise.

The author has completed a decade-long project to reverse-engineer the 1998 demo server of Ultima Online, a pioneering MMORPG. The project involved disassembling around 5,000 functions from the original code and translating them into modern C99 code, ensuring accuracy by comparing each function to the original binary.

Key Points:

• Project Overview: The reverse-engineering project is available on GitHub, where the transformed code can be accessed.
• Background: Ultima Online, launched in 1997, was one of the first successful MMORPGs. The demo version included a limited playable area and basic game features.
• Methodology: The author meticulously disassembled the code, fixed bugs, and improved gameplay elements. They also reconstructed features that were not functional in the demo.
• Findings: The author discovered and reactivated unused game systems, such as an ecology system, and added new skills that were introduced after the demo's release. They also modernized the account system and expanded client compatibility.
• Technical Details: The project targets 64-bit architecture while maintaining compatibility with the original 32-bit structure.
• Community Engagement: The author invites the Ultima Online community to contribute files from the original game to enhance the project further.

Overall, the project aims to provide a faithful recreation of the 1998 Ultima Online server, and feedback or contributions from the community are welcomed.

Researchers at Georgia Tech have developed small, battery-free metal tags that use unique ultrasonic signals to detect movements like door openings and gym exercises. These tags are quiet, affordable, and can be attached to various objects, such as doors or weights. When the object is moved, the tag emits an ultrasonic pulse that can be picked up by a nearby wearable device.

Each tag has a distinct design that produces a specific sound frequency, allowing it to be identified easily. These tags can help monitor water usage, track gym workouts, or assist caregivers with elderly relatives. The technology is considered private, as the ultrasonic signals can only be detected close by.

The research team created a simple algorithm to interpret the tags' signals, making the system efficient and low in power consumption. Their work is a collaboration between engineering and computing, and they have shared their findings in a scientific journal.

Summary:

The author has been developing and maintaining an open-source tool called mise, which has gained significant popularity with over 27,000 stars on GitHub. As mise grew, managing it alongside a full-time job became challenging, so the author decided to leave their job at Figma and focus on mise and other tools full-time under a company called en.dev.

Currently, the author earns about $600 a month from ads and GitHub Sponsors, which is not enough to live on. To support their work, they are introducing tiered memberships for individuals and sponsorship options for companies. Memberships include access to a Discord group and bi-weekly Q&A sessions. Companies can sponsor at different levels without gaining control over the project.

Additionally, the author plans to consult for companies needing help with mise, offering services like migrating tools and creating custom plugins. They are also exploring potential paid services to ensure sustainability.

The author encourages users to support mise through memberships, sponsorships, or consulting inquiries. They express gratitude to everyone who has contributed to mise.

The author wanted to recreate a retro text effect using CSS's text-stroke property but struggled to get the desired result. After seeing the effect in a book, they attempted again by stacking multiple elements and varying the text-stroke width for each layer, which brought them closer to the effect they wanted.

Key points include:

1. Text-Stroke Basics: The width of the text stroke determines how thick the outline appears, while keeping the original shape of the text.
2. Browser Differences: Firefox renders the text outlines smoother than Chrome and Safari.
3. Font Choices: The final look of the text effect depends significantly on the font used. The author added a function to load different Google fonts quickly for experimentation.
4. Performance Issues: Using larger font sizes can cause performance problems, making this technique better suited for experimentation rather than production.

The author also shared some examples created with CSS for further exploration of colors and styles.

Job Summary: Fractional Growth Engineer (Contract)

• Position: Fractional Growth Engineer (Contract)
• Experience Level: Entry-level
• Salary: $15 - $25 per hour

Key Points:

• The role involves supporting the team in implementing growth strategies, including designing AI tools and hiring for in-person tasks.
• Applicants need to have a growth mindset and be willing to tackle challenges to ensure successful experiments.
• This position is not open to applicants from certain states (CA, MA, NJ, OR, WA, CT, IL, RI, MD, MI, NH, HI).
• Additional incentive pay may be available.
• Interested candidates should apply through the YCombinator Work-at-a-Startup application; emailed applications will not be accepted.

Posted: May 05, 2026

Ted Turner, the founder of CNN and a prominent media mogul, passed away peacefully at the age of 87, surrounded by family. He was known for revolutionizing television news by launching CNN, the first 24-hour news channel, in 1980. Born in Cincinnati, Ohio, Turner built a media empire that included sports teams like the Atlanta Braves and popular networks such as TBS and TNT. He was also a philanthropist, donating over $1 billion to the United Nations and advocating for environmental causes, including the reintroduction of bison to the American west.

Turner faced personal challenges, including a difficult childhood marked by his father's suicide and multiple marriages. He was recognized as Time magazine's Man of the Year in 1991 for his impact on global news broadcasting. Despite his success, Turner later experienced financial losses after selling his company to Time Warner in 1996.

Turner is remembered not only for his contributions to media but also for his commitment to philanthropy and environmental conservation. He leaves behind five children and a legacy as a visionary who changed how news is delivered.

Micron Technology has launched the 245TB Micron 6600 ION SSD, the highest capacity SSD available for data centers. This new drive offers improved storage efficiency, needing 82% fewer racks compared to traditional hard drives (HDDs), making it ideal for AI, cloud, and enterprise workloads. The SSD is built with advanced QLC NAND technology, enabling data centers to store more data in less space while using less power.

Key benefits of the 245TB Micron 6600 ION SSD include:

• Energy Efficiency: It consumes only 30 watts, which is half the power of similar HDDs.
• Performance Enhancements: It offers significantly better performance for AI tasks, including faster data processing and lower latency.
• Sustainability: Using these SSDs can lead to substantial reductions in energy use and CO2 emissions, benefiting environmental goals.

The SSD is available in different form factors and is designed to simplify data center operations. It will be showcased at Dell Tech World from May 18-21, 2026. Overall, this innovation supports the growing demand for efficient and powerful data storage in modern data centers.

Summary of Jagadish Chandra Bose's Work on Plant Intelligence

Jagadish Chandra Bose, an Indian scientist, made significant contributions to the understanding of plant life in the early 20th century. In 1926, he captivated an audience at the British Association for the Advancement of Science by demonstrating that plants exhibit signs of intelligence and responsiveness similar to animals. He showcased experiments where plants reacted to stimuli—like sagging when sedated or reviving when exposed to scent—arguing that plants have a nervous system and exhibit learning and memory capabilities.

Bose's ideas were controversial. While he garnered admiration from figures like Albert Einstein, many botanists criticized him for mixing science with spirituality, labeling him either a "Bosephile" (supporter) or a "Bosephobe" (critic). His claims were largely dismissed for decades, but in recent years, a small community of scientists has revisited his assertions, leading to the development of the field known as plant neurobiology, which explores plant signaling and intelligence.

Bose's scientific journey began in his childhood, influenced by his father's support. He became the first Indian professor of science and invented advanced instruments to study electromagnetic waves, discovering microwaves in 1894. His work challenged the traditional view of plants as passive entities, positing instead that they are active, sensitive organisms.

Despite his initial acclaim, Bose faced significant backlash from the scientific community, particularly after disputes with prominent physiologists who viewed his interpretations as unscientific. He eventually distanced himself from mainstream science, focusing on popular writing rather than academic publication.

Today, debates continue about plant intelligence, echoing Bose's early controversies. While some researchers argue for the existence of a plant nervous system, others warn against anthropomorphism in interpreting plant behavior. Bose's legacy remains influential, as modern scientists explore the complexities of plant communication and response, highlighting the need for open-mindedness in scientific inquiry.

Summary of Wolfenstein 3D for Gameboy Color Project

The project involves creating a version of Wolfenstein 3D for the Gameboy Color using a custom cartridge with a co-processor. The source code and hardware plans are available on GitHub.

Key Points:

1. Cartridge Development:

   • The latest cartridge, Rev.D, functions well and uses a CPLD chip instead of the original Nintendo MBC1 chip.
   • Rev.D is fully operational and considered complete by the developer.

2. CPLD Implementation:

   • The new design allows for easier creation of Gameboy cartridges using standard parts, avoiding the need to salvage components from existing games.
   • Development focused on learning to use CPLDs and designing PCBs.

3. Game Features:

   • Music, collision detection, pickups, and weapons have been added.
   • A password system for saving progress and a cheat menu have been implemented.
   • The game is nearly feature-complete, with plans for final bug testing and video recording.

4. Memory Management:

   • The project efficiently manages RAM and ROM usage, with plans to fit multiple game episodes by optimizing data storage.
   • Techniques such as moving map data to a different ROM space were explored to increase available memory for textures and sprites.

5. Future Plans:

   • The developer aims to improve and expand the project, potentially creating other games in the future.
   • There is a focus on documenting the process for future reference.

Overall, the developer is pleased with the progress and learning outcomes from this project, which combines software development and hardware design.

Google Cloud has launched a new security platform called Google Cloud Fraud Defense, which is an upgrade to reCAPTCHA. This platform is designed to protect online interactions in a world where automated AI agents are increasingly common. Fraud Defense helps businesses verify whether users are human, bots, or AI agents, ensuring secure digital transactions.

Key features of Fraud Defense include:

1. Agentic Activity Measurement: A dashboard that helps businesses track and analyze online activities using industry standards.
2. Agentic Policy Engine: Allows businesses to control user interactions based on risk levels and agent identities.
3. AI-Resistant Challenge: Introduces a new QR code challenge to confirm human presence when suspicious activity is detected.

Fraud Defense aims to prevent evolving threats, secure the customer journey, and promote business growth by minimizing disruptions for legitimate users. Existing users of reCAPTCHA will automatically benefit from these new features without any extra steps required.

Google Cloud emphasizes that this platform will provide enhanced security while maintaining a smooth user experience, ultimately helping businesses thrive in the digital landscape.

No summary available.

Summary of Proton Meet: Confidential Video Calls

Proton Meet is a new video conferencing tool designed to protect your privacy during video calls. Unlike traditional platforms like Zoom or Google, which may collect and use your data, Proton Meet ensures that your conversations are secure with end-to-end encryption. This means that only you and the participants can access the call, and even Proton cannot listen in.

Key Features of Proton Meet:

• Privacy Focused: All calls are encrypted, protecting your conversations from eavesdropping and data misuse.
• Easy to Use: No sign-in is required to start or join a meeting. You can create a link and invite anyone, even if they don’t have a Proton account.
• Collaboration Tools: You can share your screen, chat in real-time, and enjoy high-definition audio and video.
• Calendar Integration: You can schedule meetings directly through Proton Calendar or integrate with Google and Microsoft calendars.

Proton Meet is free for basic use, allowing meetings with up to 50 attendees for up to an hour. For more features, there is a paid plan starting at $7.99 per user per month.

With over 100 million users already trusting Proton for their privacy needs, Proton Meet aims to provide a secure platform for important discussions, whether for business or personal matters.

Coding agents can now manage Cloudflare accounts and services directly on behalf of users, simplifying the process of deploying applications. Previously, users had to handle tasks like account creation and payment manually, but agents can now do this automatically using Cloudflare's APIs.

Starting today, agents can:

• Create a Cloudflare account.
• Set up a paid subscription.
• Register a domain.
• Obtain an API token to deploy applications.

While users must grant permission and accept Cloudflare's terms, they won't need to perform any manual steps. This functionality is enabled through a new protocol developed in partnership with Stripe, which streamlines the process by integrating account creation, authorization, and payment.

Key features include:

1. Discovery: Agents can easily find services they can use by querying a catalog.
2. Authorization: Stripe verifies the user's identity, allowing agents to create accounts automatically.
3. Payment: Agents can make purchases without accessing users' credit card details, with a default spending limit of $100 per month.

This integration allows any platform with signed-in users to connect with Cloudflare similarly, making it easier for users to deploy applications without complex authorization processes. Overall, this development aims to enhance the user experience and reduce the friction involved in cloud service deployment.

Summary of StarFighter Laptop Features:

• Performance: A high-performance Linux laptop equipped with an Intel® Core™ Ultra processor or Ryzen™ 9, supporting heavy workloads.

• Memory and Display:

  • Up to 64 GB LPDDR5X memory (7500MT/s).
  • 16-inch 4K IPS display with a 120 Hz refresh rate, offering vibrant colors and anti-glare matte finish.
  • 178° viewing angles and a flexible 180° hinge for comfort.

• Battery and Webcam:

  • Long battery life of up to 18 hours.
  • Removable webcam with built-in storage, maximizing screen space and allowing for future upgrades.

• Connectivity:

  • Features WiFi 6E, Bluetooth 5.3, multiple USB ports (including Thunderbolt™ 4), HDMI, and a Micro SD slot.

• Keyboard and Trackpad:

  • Comfortable backlit keyboard with customizable function and media keys.
  • Haptic trackpad with a glass surface that simulates clicks.

• Durability:

  • Plasma electrolytic oxidation coating, making the laptop resistant to fingerprints and scratches.

• Firmware:

  • Open-source firmware with secure updates and easy customization options.
  • Lightweight and efficient, with quick boot times.

• Charger:

  • Compact Gallium Nitride charger with 65 watts of power, smaller than traditional chargers.

• Warranty:

  • An open warranty allowing users to modify or upgrade the laptop without voiding the warranty.

Overall, the StarFighter laptop combines advanced technology, durability, and user flexibility, making it a powerful tool for professionals.

Summary of Tilde.run

Tilde.run is a platform that allows you to safely use AI agents in production environments. It enables you to run code and access data from various sources (like GitHub and S3) in a controlled manner. Key features include:

• Reversibility: You can roll back any agent run easily, treating each run as a transaction.
• Isolation: Each run is contained in a secure environment, preventing unauthorized access and data leaks.
• Audit Trail: You can track all actions taken, who did them, and revert changes if needed.

Tilde combines different data sources into a single versioned filesystem, making it easy to manage and use. It also integrates with popular tools like AWS and Google Drive.

To start using Tilde, you can quickly install it and run agents through simple commands. It provides a safe way to execute code autonomously while maintaining control and oversight.

The author discusses a recent conversation about AI coding tools and reflects on the merging of two concepts: "vibe coding" and "agentic engineering."

Key Points:

1. Vibe Coding vs. Agentic Engineering:

   • Vibe coding involves using AI to generate code without much understanding or concern for code quality. It's great for personal use but irresponsible for professional projects.
   • Agentic engineering refers to a more responsible, professional approach to coding, where the developer understands the code and its implications.

2. Blurring Lines: The author realizes that the distinction between vibe coding and agentic engineering is becoming less clear. They often rely on AI tools without reviewing the generated code, leading to feelings of guilt about accountability.

3. Trusting AI: The author compares using AI-generated code to using software from other teams without reviewing every detail, noting that while AI can produce quality results, it lacks accountability.

4. Evaluating Software Quality: The ease of generating seemingly high-quality code raises concerns about genuinely assessing software quality. The author values actual usage and experience over just appearances.

5. Changing Development Processes: As coding speed increases with AI, traditional software development processes may need to adapt, as the costs of mistakes decrease with quicker iterations.

6. Job Security: The author feels secure in their software engineering career, believing that while AI tools are powerful, the complexity of software development remains a significant challenge.

7. Preference for Proven Solutions: The author emphasizes the desire to use software that has been tested and proven by others, rather than untested projects.

Overall, the text highlights the evolving landscape of software development with AI tools, the complexities of maintaining code quality, and the author's perspective on job security amidst these changes.

Summary of SoundOff Project

The SoundOff project introduces a low-cost system using passive ultrasound tags to monitor interactions in indoor spaces without invasive devices. Researchers Yibo Fu, Vivian Shen, Víctor Riera Naranjo, Bolei Deng, Alex T Adams, and Josiah Hester developed this technology, which features tags that emit ultrasonic signals when users interact with common objects like door knobs and faucets. These signals are inaudible to humans, ensuring privacy and non-intrusiveness.

Key Points:

• SoundOff uses simple, inexpensive ultrasound tags that require no complex electronics or setup.
• The system can identify different interactions based on unique ultrasonic emissions from the tags.
• It is designed for various applications, including smart homes and elder care.
• The project includes an open-source modeling pipeline and fabrication guide for easy replication and customization of the tags.
• Performance evaluations show that the system effectively distinguishes between different tags, even in noisy environments.

Overall, SoundOff offers a scalable and efficient solution for monitoring interactions in living and working spaces while respecting user privacy.

Summary:

Google Chrome is reportedly installing a 4 GB AI model on users' devices without their consent or knowledge. This model, called Gemini Nano, is placed in a hidden directory and triggers automatic downloads whenever Chrome's AI features are activated. Users have no option to opt out, and even if they delete the model, Chrome re-downloads it.

This behavior raises significant legal concerns, violating privacy laws like the ePrivacy Directive and GDPR, which require user consent for such actions. The environmental impact of this silent installation is also alarming, potentially resulting in thousands of tonnes of CO2 emissions due to the massive scale of Chrome's user base, estimated between 3.45 billion and 3.83 billion users.

The article highlights a pattern of deceptive practices, such as hidden installations and misleading feature representations, which undermine user trust. It calls for Google to implement better practices, including asking for user consent before downloads, providing clear documentation, and respecting user deletions of unwanted files. Overall, this incident reflects broader issues of privacy and environmental responsibility in tech.

No summary available.

The term "shrinkflation" describes how products, like cereal, cost more while containing less. This trend is also seen in tech products, where prices are increasing but quality is declining.

Major semiconductor companies like SK Hynix, Samsung, and Micron are adjusting their businesses to produce high-bandwidth memory (HBM) needed for AI datacenters. This shift is affecting consumer electronics, including smartphones and laptops.

For example, Google's upcoming Pixel 11 phones are expected to have less RAM than their predecessors, while Motorola's 2026 Razr phone costs more but has less storage. Similarly, the PlayStation 5 slim has reduced storage capacity, and smaller companies, like AYN, are downgrading specs to manage costs.

PC components are also suffering, with manufacturers offering lower-performance memory options to keep prices down. Apple has raised prices on its Mac mini while reducing storage options.

Overall, consumers face higher costs and lower quality in tech products, with no relief in sight for at least two years.

On May 5, 2026, DENIC eG reported a disruption in its DNS service for .de domains, affecting the reachability of all DNSSEC-signed .de domains. The cause of the issue is still being investigated, but DENIC's technical team is actively working to resolve it. Users may experience problems with domain resolution. DENIC has asked for understanding from those affected and will provide updates as more information becomes available. For further questions, users can contact DENIC through usual channels.

Summary of Wiki Builder:

Wiki Builder is an open-source plugin for Claude Code that simplifies the creation of knowledge bases using a streamlined, one-command setup. Previously, setting up a knowledge base required repetitive tasks like creating folder layouts and prompt files. Wiki Builder automates this process by generating a structured folder and necessary files when you start a new wiki.

Key Features:

• Customizable Configurations: Each wiki has its own configuration file that defines its purpose and structure, allowing for flexibility across different topics (e.g., research, product, organization).
• Efficient Workflow: The plugin maintains a loop for compiling information, answering questions, and maintaining the wiki's structure, reducing the setup effort and allowing users to focus on content.
• Example Project: The Agentic Engineering Wiki was created using Wiki Builder, resulting in a comprehensive resource with actionable tips, company profiles, paper summaries, and more.

How It Works:

• It includes a script to set up the folder structure and templates for prompts, which can be customized without affecting the global settings.
• The plugin is installed through the DAIR Academy Plugins marketplace, making it easy to add to your environment.

Benefits:

• It allows users to build structured knowledge bases without the overhead of complex tools, making it suitable for smaller projects.
• The accumulated knowledge in the wiki can be reused for future inquiries, enhancing productivity.

Wiki Builder is continuously being improved, and users are encouraged to try it out for their research or internal projects. A recorded walkthrough is available for those interested in learning how to use it effectively.

Michel, co-founder and CEO of Airbyte, announces the launch of Airbyte Agents, a new tool designed to help agents find information and act across various operational systems. After six years of developing data connectors, Airbyte Agents will serve as a unified data layer that simplifies access to tools like Slack and Salesforce.

The problem with current solutions is that they often require extensive API calls to gather information, which can be slow and inefficient. Airbyte Agents aim to streamline this process by using a Context Store, which organizes data for easier access and allows agents to interact directly with data systems when necessary.

Michel shares a specific example where a previously complicated process took 47 steps and was slow, resulting in incorrect answers. Airbyte Agents significantly reduce the complexity and improve the speed of retrieving information, as shown in benchmarks where they consumed fewer resources compared to other solutions.

He invites feedback from the community about their experiences with agent building and data management, emphasizing their eagerness to improve the product further.

Summary:

The article discusses the launch of Multi-Token Prediction (MTP) drafters for the Gemma 4 models, which enhance the speed and responsiveness for developers. Using MTP, these models can achieve up to three times faster inference without losing quality. This improvement comes from a process called speculative decoding, which allows the system to predict multiple future tokens simultaneously, reducing latency.

Key benefits of MTP drafters include:

• Improved Responsiveness: Faster performance for real-time applications like chat and voice.
• Enhanced Development: Faster processing on personal devices for coding and complex tasks.
• Better Battery Life: More efficient on-device performance for mobile applications.
• No Loss in Quality: The final output maintains high accuracy and reasoning.

MTP drafters are available under an open-source license, and developers can access them on platforms like Hugging Face and Kaggle. This advancement is expected to significantly enhance the performance of applications built using Gemma 4.

A federal judge has ruled that a lawsuit against NVIDIA for contributory copyright infringement can continue. The court rejected NVIDIA's request to dismiss the case, stating that some of its scripts were designed solely to facilitate infringement. The lawsuit, brought by several authors, claims that NVIDIA's AI models were trained using copyrighted books from a pirate site called Bibliotik.

NVIDIA argued that the authors' claims were based on speculation and sought to dismiss several allegations, but the judge narrowed the dispute and allowed the case to proceed. Importantly, the judge pointed out that the specific scripts provided by NVIDIA had no other purpose than to enable infringement.

Additionally, the judge declined to dismiss references to BitTorrent, stating that it is simply a tool, not a source of copyright infringement itself. While NVIDIA won a small victory with the dismissal of a vicarious infringement claim, the overall legal battle with the authors continues, highlighting the growing number of copyright lawsuits against AI companies.

MIT engineers have developed a new tool called the "computational violin," which simulates the sound of a violin based on physics. This tool can help violin makers, or luthiers, design instruments and hear how changes to their designs—like wood type or body thickness—would affect the sound before they start building the actual instrument.

Traditionally, luthiers had to wait until the violin was finished to evaluate its sound, which can be a slow and costly process. The computational violin allows for quick adjustments and sound testing in a virtual environment.

The MIT team used advanced simulations to model the violin's components and how they interact with air to produce sound. They first created a detailed 3D model based on CT scans of a Stradivarius violin. The tool currently simulates the sound of plucked strings, known as "pizzicato," and could eventually include bowing techniques for a more comprehensive sound experience.

This innovation aims to enhance the violin-making process by combining art and science to better understand the factors that influence a violin's sound quality.

Mexico City is sinking at a rate of nearly 10 inches (25 cm) per year, making it one of the fastest-sinking cities globally. Built on a drained lake bed, the city has suffered from significant subsidence due to groundwater pumping and urban development. This has caused many buildings, including the historic Metropolitan Cathedral, to tilt dangerously.

Recent satellite images from NASA reveal that some areas are sinking up to 0.78 inches (2 cm) per month. Over the past century, the city has dropped more than 39 feet (12 meters). The ongoing subsidence is damaging crucial infrastructure, including the subway and drainage systems, and has exacerbated a chronic water crisis.

Experts emphasize the need for better understanding and monitoring of the subsidence issue, particularly with new satellite technology that can provide real-time data. There is a growing recognition among officials to address the problem more seriously, especially in light of recent water shortages.

Summary:

On May 6, 2026, it was announced that a partnership with SpaceX will significantly boost compute capacity for Claude services. This includes three key changes effective immediately:

1. Doubling the rate limits for Claude Code for Pro, Max, Team, and Enterprise plans.
2. Removing peak hour limits for Pro and Max accounts.
3. Increasing API rate limits for Claude Opus models.

The partnership with SpaceX allows access to over 300 megawatts of capacity at their Colossus 1 data center, enhancing services for Claude Pro and Max users. This adds to other agreements for compute capacity with Amazon, Google, Broadcom, Microsoft, and Fluidstack, totaling substantial investments in AI infrastructure.

Additionally, the company is expanding internationally to meet compliance needs for industries like finance and healthcare, focusing on secure partnerships in democratic countries. They also plan to address any electricity price increases caused by their data centers and invest in local communities hosting their facilities.

New tools and collaborations, including plugins and integrations for financial services, are also being introduced.

Summary of ProperDocs Announcement

ProperDocs is a new continuation of the MkDocs project, created because MkDocs is currently unmaintained. The original MkDocs maintainer has ignored feedback and plans to release a new version that will break compatibility with existing themes and plugins.

To avoid issues, users are encouraged to switch to ProperDocs, which works as a drop-in replacement for MkDocs and includes important bug fixes.

Steps to Transition to ProperDocs:

1. Change your dependency from mkdocs to properdocs in your installations.
2. Use properdocs build instead of mkdocs build for building your site.
3. Optionally, rename your configuration file from mkdocs.yml to properdocs.yml.

Plugin authors are also encouraged to support ProperDocs by adjusting their dependencies to include both MkDocs and ProperDocs, ensuring a smooth transition for users.

For more information, visit ProperDocs or check the discussions on GitHub.

Summary:

Telus is using AI technology from Tomato.ai to change the accents of its call center agents in real-time to reduce "accent-related friction." This speech-to-speech tool is mainly applied to offshore agents. Labour groups have criticized this practice, calling it deceptive and urging for mandatory customer disclosure. Other telecom companies, like Rogers and Bell, have stated they do not plan to use similar technology. The rollout has faced public backlash in Canada, raising concerns about transparency and worker rights. Moving forward, attention will focus on regulatory responses, technical details from Tomato.ai, and whether other call center operators will adopt similar practices.

You can easily access models from Hugging Face by pasting a model URL or repository ID. This allows you to view the model's graph without needing to set up anything locally or use a notebook.

Summary of Behavior-Oriented Concurrency (BOC) in Python

BOC is a new approach to parallel programming in Python that simplifies concurrent programming. It allows data to be shared with unique ownership for each behavior, eliminating the need for locks and preventing deadlocks. This makes programs easier to understand and optimizes performance across multiple cores.

Key Features:

• Cowns: These are concurrent-owned variables that ensure only one thread accesses the data at a time, managed without locks. They allow safe data transfer between processes.
• Behaviors: Blocks of code that require specific cowns to execute. They are defined using a decorator and can run in parallel without blocking, enhancing efficiency.
• Noticeboard: A global store for sharing state among behaviors without locks, suitable for configuration or status updates.

Example Application: A cooking program is used to illustrate BOC. Ingredients and utensils are wrapped in cowns, and each cooking step is defined as a behavior. Behaviors are scheduled based on dependencies, making the code cleaner and easier to manage.

Performance: BOC achieves nearly linear performance scaling as more workers are added, thanks to its lock-free design.

Getting Started: To use BOC, install the library with pip install bocpy and follow tutorials available in the documentation.

Summary: Building the Deployment Tool I Wish I Had

Ruud van Asseldonk shares his experience creating a deployment tool called "Deptool" after facing frustrations with existing tools. He wanted a tool that meets his high standards for configuration management, especially for managing his servers in Europe rather than relying on US-based services.

Key Features of Deptool:

1. Speed: Configuration updates are executed in less than a second.
2. Predictability: Users can see what changes will happen before they are applied.
3. Safety: Automatic rollback ensures that if something goes wrong, the system reverts to the previous stable state quickly.
4. Simplicity: It focuses on copying configuration files and restarting services without unnecessary complexity.
5. Declarative Management: Changes in the configuration are automatically reflected on the servers without needing explicit cleanup steps.
6. Zero Setup: The tool can manage servers immediately after they are provisioned, without requiring additional installations.

How Deptool Works:

• Configurations are pre-rendered and stored in a Git repository, allowing for easy tracking of changes.
• It uses a simple locking mechanism during deployment to ensure that no conflicting changes are applied simultaneously.
• The deployment process involves creating directories for different versions and using symlinks to manage which version is currently active.

Agent Communication:

• An agent runs on the remote host, allowing for streamlined communication and execution of commands. This agent is a static binary tailored for the host's architecture, minimizing compatibility issues.

Conclusion: Ruud has successfully used Deptool for a month, appreciating its speed and efficiency. He believes the tool can be useful for others, especially those managing image-based operating systems, and has made it available on Codeberg and GitHub.

In July 2015, the Linux Foundation's Core Infrastructure Initiative released a census to assess the risk of open source projects, aiming to identify vulnerable packages like OpenSSL before they could be exploited. This census ranked 428 projects based on a risk index from 1 to 13, using a scoring system that assigned points for factors like website presence, past vulnerabilities, popularity, and contributor activity.

The author reflects on the census, noting how some projects, like xz-utils, appeared safe despite having significant risks due to low maintenance and a small number of contributors. The risk scoring did not capture the nuances of project health, such as burnout among maintainers, which could lead to serious vulnerabilities.

While some projects at the top of the list, like libexpat and rsync, did have issues that the census correctly identified, others like libxml2 showed a failure to act on identified risks. Additionally, several critical projects like sudo and polkit were not included in the census due to how the initial candidate set was chosen, not because they were misranked.

Overall, the census highlighted the limitations of relying solely on metrics like contributor counts, which can overlook the realities of project maintenance and security. This demonstrates the need for a more nuanced approach to evaluating open source project health beyond simple numerical scores.

The text describes a humorous take on GitHub's downtime using a graph made of red squares. Each square represents a day when GitHub experienced issues, with darker squares indicating longer downtimes. In the past year, GitHub had 32.5 days of downtime over 167 incidents, with the worst day being April 30, 2026. The data is based on information from a source that tracks GitHub's status.

The author discusses their free, open-source software called Nonograph, which cost around $600 to develop. They emphasize the negative impact of monetization on software, highlighting how many services now charge for features that were once free. The author believes that not everything needs to be monetized, especially hobbies like software development.

They argue that treating software development as a passion rather than a job leads to better outcomes, as it fosters creativity and avoids user-unfriendly practices aimed at profit. The author encourages developers to reflect on the true value of their software, suggesting that many projects are better off as personal endeavors rather than commercial ventures. The focus should be on the experience and personal growth rather than financial gain.

The blog discusses a comparison between two methods for AI agents to interact with an admin panel: using vision agents (which operate like a user, taking screenshots and clicking) versus API agents (which call the app's endpoints directly).

Key points include:

1. Cost Comparison: Vision agents are significantly more expensive, requiring 45 times more computing resources than API agents. For example, the vision agent completed a task in 53 steps and consumed 551,000 tokens, while the API agent completed the same task in just 8 calls and used only 12,000 tokens.

2. Task Setup: The agents were tested on a task to find a customer named "Smith," manage their orders, and reviews. The API agent successfully completed the task efficiently, while the vision agent struggled with pagination and could not find all necessary information.

3. Walkthrough Adjustment: To help the vision agent succeed, the task was rewritten as a detailed 14-step guide. While this allowed it to complete the task, it highlighted the need for extensive engineering work to create such prompts.

4. Performance Variance: The vision agent showed significant variability in performance across trials, while the API agent consistently performed well with minimal variance.

5. Conclusion: The benchmark indicates that for internal tools where you control the app, API agents are more efficient and cost-effective compared to vision agents. Vision agents may still be useful for third-party applications or systems that cannot be modified.

The blog also notes that the findings are specific to the tested models and settings, and the complete benchmark code is available for reproduction.

No summary available.

Summary of "Three Inverse Laws of AI" by Susam Pal

Since the introduction of ChatGPT in November 2022, AI chatbots have become widely used in various applications like search engines and productivity tools. While they are helpful, relying on them without questioning their output can be dangerous.

Key Points:

1. Pitfalls of AI Use:

   • AI can lead users to accept its output without critical thinking, especially when it is presented as the top answer in search results.
   • Warnings about AI inaccuracies are often too subtle.

2. Inverse Laws of Robotics:

   • Inspired by Isaac Asimov's laws for robots, the author proposes three "Inverse Laws" for human interaction with AI:
     • Non-Anthropomorphism: Don't attribute human-like qualities to AI systems. Treat them as tools rather than social actors to maintain clear judgment.
     • Non-Deference: Don't trust AI outputs blindly. Always verify AI-generated information, as it may contain errors, especially in critical contexts.
     • Non-Abdication of Responsibility: Humans must take full responsibility for decisions made with AI assistance. Blaming AI for negative outcomes is unacceptable, as humans are ultimately accountable for their choices.

3. Conclusion:

   • These laws aim to promote mindful and responsible use of AI, encouraging users to think critically and understand the limitations of these technologies. AI should be seen as a tool, not as an authority.

Summary of Sensor Etch - Artist Mode:

In Artist Mode for Sensor Etch, users can create art using various inputs:

• Tilt: Tilting the pen adjusts vertical position to select a violin note.
• Sound Input: This affects brush size and bow pressure, influencing volume and brightness.
• Camera: This sets ink color and violin tone; warm colors create darker tones, while cool colors create brighter ones.
• Connection Speed: It affects the background tint and reverb size—slow connections create a cavernous effect, while fast connections are dry.

To start, users should tap "Begin" and allow access to motion, microphone, and camera. A speed test runs every 15 seconds to check the connection.

The site couldn’t load a necessary part. This might be caused by a browser extension, network problems, or browser settings. To fix it, check your internet connection, turn off any ad blockers, or try a different browser.

The author reflects on their first day at AND 1 in Taiwan in 1998, highlighting the hands-on design process of sneaker production. They observed how a skilled craftsman quickly created accurate 3D models of shoe components from blueprints, emphasizing the importance of understanding engineering and manufacturing methods. This process involved iterative design between the U.S. and factories in Asia.

Over the years, the sneaker industry shifted from craft to automation, with companies like NIKE using technology to speed up production and improve design accuracy. As production became more efficient, the value shifted from the manufacturing process to understanding customer needs and market demands.

The author draws parallels to the software industry, suggesting that as AI evolves, the same division of labor will occur. Software brands will focus on understanding user needs and defining products, while factories will handle production and maintenance. This new model will allow brands to innovate rapidly without being constrained by engineering resources.

The text argues that the future of software will see a split between brands that own customer relationships and factories that produce software efficiently. Companies that recognize this shift and adapt will thrive in the changing landscape of software development.

Last week, I created a Z80 version of the LZ4 decompressor, which I had previously used on other systems. I organized my different implementations into a library for easier use in various projects. I discovered I had six versions instead of three, having created additional versions for the Intel 8080, Intel 8086, and a new one for the 6502.

I initially planned to compare all implementations together, but it became too extensive, so I split the discussion into two parts. This week, I’m focusing on comparing the CPUs and their contexts, while next week I will look into the implementations.

Key points about the Z80 and 8080:

• The Z80 is an upgrade of the 8080, maintaining compatibility with most of its features but adding new ones.
• The 8080 lacks certain instructions and features found in the Z80, making it simpler but less powerful.
• Programming for the 8080 can be done using Z80 assemblers with caution.

Comparing Z80 and 8086:

• The 8086 is a 16-bit CPU, while the Z80 is 8-bit.
• The 8086 provides more sophisticated memory access and allows for more registers and capabilities than the Z80.

The Motorola 6800 and 6809:

• The 6800 had limited success against the 8080 but led to the more powerful 6809, which is complex but capable.
• The 6809 supports more advanced features like multiple index registers, making it suitable for modern programming needs.

The MOS Technology 6502:

• The 6502 was designed to be simpler and cheaper than its predecessors, focusing on memory operations rather than having multiple accumulators.
• Its design leads to specific programming practices that differ from those of the Z80 and 6800.

In summary, I’ve learned the intricacies of these different CPUs and their programming paradigms, allowing me to adapt and write code effectively across various architectures. Next week, I will demonstrate these concepts by implementing the same algorithm on four different chips.

In her column, Jacqueline Smith argues that the Pentagon is attempting to suppress her voice. She feels that her opinions are being stifled and expresses concern about this issue. Smith is advocating for the freedom to speak out and share her perspective.

No summary available.

Mark Zuckerberg's company, Meta, is facing a lawsuit from publishers. The lawsuit claims that Meta's AI tools are using their content without permission. This raises concerns about copyright and how AI interacts with published material. The outcome of this case could impact how companies use AI and how publishers protect their work online.

The article by Alexander Kustov discusses the significant impact of artificial intelligence (AI) on academia, particularly in social science research. Kustov shares ten key points highlighting how AI is transforming research methods, publishing, and the roles of academics. Here’s a simplified summary:

1. AI's Capabilities: AI can perform social science research better than many professors, producing publishable papers quickly and efficiently.

2. Decline of Traditional Papers: The format of academic papers is becoming outdated as AI improves literature reviews and peer reviews.

3. Challenges for Journals: The commercial journal system may struggle to survive as AI reduces the time and cost of manuscript creation, leading to increased submissions and potential revenue loss.

4. Double Standards for AI: Academics often apply stricter scrutiny to AI outputs than to human research, despite many published studies being flawed.

5. Impact on Junior Scholars: Junior academics may face challenges as AI changes the landscape of research, but it also presents new opportunities for those with innovative ideas.

6. Changing Roles: The role of research assistants is evolving since AI can handle many tasks traditionally done by humans, shifting the focus to original thinking and expertise.

7. Resistance to AI: Some opposition to AI in academia may stem from a desire to protect existing status and practices rather than genuine concerns.

8. Verification Concerns: The main worries revolve around verifying AI-generated claims and ensuring data security, rather than philosophical debates about AI understanding.

9. Improved Research: AI can enhance the quality and accessibility of research, allowing for faster and more diverse methodologies.

10. Exciting Potential: Despite risks like job displacement, AI offers valuable tools for productivity and innovation in research.

Kustov emphasizes the need for academics to adapt to these changes, suggesting that a reassessment of workflows and collaboration with AI could lead to significant benefits in the field.

This text explains that each node represents a post from the 100DaysOfJava series. The graph serves as a way to browse the topics by concept, but it is not meant to replace reading the posts in the original order.

Microsoft Edge stores passwords in plaintext in its memory when used as a password manager, which a security researcher discovered. This means that even when passwords are not being actively used, they remain easily accessible in an unencrypted format. Microsoft claims this is an intended feature for better performance and usability, arguing that it only poses a risk if the device is already compromised.

Unlike Edge, Google Chrome only decrypts passwords when necessary, making it harder for attackers to access them. Experts criticize Edge's method, stating that it violates security principles and could lead to compromised passwords.

For better security, users are advised to switch to dedicated third-party password managers, which offer stronger protection and accessibility across different browsers. Until Microsoft improves Edge's password management system, it’s recommended to avoid using it for storing passwords.

iOS 27 will introduce a "Create a Pass" feature in the Wallet app, allowing users to create their own passes without needing an Apple Developer account. Users can either scan a QR code from a physical card or build a pass from scratch. The feature will have three color-coded templates: Standard (orange), Membership (blue), and Event (purple), which will help users quickly identify their passes.

This update marks a significant change for Apple, as it allows users to create passes directly, rather than waiting for businesses to provide them. Previously, creating passes required complicated steps that discouraged many smaller businesses from participating.

The feature will be previewed at WWDC on June 8, with a public release expected in September. However, some details about the feature, such as whether passes will sync across devices or support various barcode types, remain unclear. Overall, this enhancement aims to make the Wallet app more user-friendly and accessible.

Summary: 10 Lessons for Agentic Coding

In the context of programming with advanced AI models, here are ten important lessons for effective coding:

1. Implement to Learn: Writing code helps clarify decisions and improve specifications. Use coding to discover insights.
2. Rebuild Often: Frequently implement and experiment with new ideas. Cheap code allows for easy revisions and exploration.
3. Invest in End-to-End Tests: Focus on functional tests that ensure your product works as intended, enabling easier code changes.
4. Document Intent: Keep track of the reasons behind your coding decisions to maintain direction and clarity.
5. Keep Specs Updated: Regularly revise your project specifications to reflect changes and new insights gained during coding.
6. Find the Hard Stuff: Tackle challenging aspects of your project, such as design and security, as they offer the most value.
7. Automate Easy Tasks: Minimize time spent on simple tasks to focus on more complex work.
8. Develop Your Taste: Cultivate your understanding of your domain and users to enhance decision-making without constant feedback.
9. Leverage Agent Experience: Use your knowledge to optimize interactions with AI tools, improving efficiency and outcomes.
10. Mind Maintenance Costs: While coding may be quick and inexpensive, consider the ongoing costs of maintenance, support, and security.

These lessons are designed to guide programmers using AI tools effectively and sustainably.

No summary available.

Summary: Hand-Drawn QR Codes by Seth Larson

Seth Larson shares his experience of creating hand-drawn QR codes using a sticky-note pad with a grid design. He aimed to make a QR code for his website, but found that the standard version 1 QR code couldn't hold the full URL. He adjusted by using a shorter version of the URL, which still leads to his site.

After learning that he could include his full domain name in uppercase letters, he used a Python package to generate the QR code and began drawing it on grid paper. Despite some challenges with scanning due to the paper's curl, he successfully completed the QR code. He encourages others to try drawing on grid paper and suggests checking out a related web art piece for inspiration.

No summary available.

No summary available.

The text discusses the cultural differences between Microsoft and IBM during their collaboration on the OS/2 project. Microsoft employees viewed IBM staff as overly bureaucratic, while IBM employees saw Microsoft workers as chaotic. A specific example of this mismatch involved a disagreement over using the TAB key to navigate dialog boxes.

An employee at Microsoft was told by his manager that he was in Boca Raton to make decisions, not to escalate issues. When IBM insisted on escalating the decision, it led to a high-level disagreement. Ultimately, the Microsoft employee humorously stated that "Bill Gates’s mother is not interested in the TAB key," which resolved the issue in favor of using the TAB key.

The text highlights how different organizational structures can lead to misunderstandings and inefficiencies in decision-making.

No summary available.

Researchers from Kobe University have developed a new type of ink that uses silicon nanoparticles to create structural colors, which are bright and do not fade over time. Unlike traditional pigments, structural colors are produced by nanoscale structures that interact with light, similar to colors seen in nature, like peacock feathers.

The new ink can be printed using standard inkjet printers on both flat and three-dimensional surfaces. The researchers overcame challenges with particle aggregation during drying by coating the nanoparticles with silica shells, allowing for a stable and transparent ink that maintains its vibrant colors.

This innovative ink can create images that look different depending on whether light is transmitted through or reflected from the surface, enabling unique color effects. The size of the nanoparticles can be adjusted to tune the colors produced.

Potential applications for this technology include anti-counterfeiting measures, smart windows, and energy-efficient displays that reveal images only when turned off. The goal of the research team is to further explore and enhance these optical effects for various practical uses. The findings were published in the journal Advanced Materials.

Most users tend to skip product tours almost immediately, which is a common issue. The text discusses the reasons behind this behavior and what users typically do instead. It also highlights one effective method that can successfully engage users and promote activation. The article is presented by Eric Brownrout, a co-founder of Frigade, and includes various onboarding and product marketing resources.

No summary available.

The author has been involved in AI since the release of ChatGPT, experimenting with language models and understanding the mathematics behind them. They express concern over a project where lab-grown neurons were trained to play the video game DOOM, which made them uneasy.

They reflect on the difference between language models, which are not conscious, and these neurons, questioning whether we may have created a "biocomputer" that experiences something akin to consciousness. The author wonders if these neurons can "see" when they process visual data, and they ponder the ethical implications of this technology.

Despite the potential benefits of using biological systems for computing, the author is troubled by the lack of discussion around the consequences of developing such technology. They highlight the commercial motivations behind continued development, likening it to other ethically questionable practices that persist for profit. Overall, the author feels uncomfortable about the situation and believes it warrants more attention.

Summary of "Talking to 35 Strangers at the Gym"

A few months ago, the author felt lonely after college and struggled to make friends despite having a job. They decided to try making friends at the gym, where they went regularly. Although they were nervous about interrupting others, they committed to approaching one person each day for a month.

The author started with a basic opening line and gradually learned to customize it based on observations about the individuals they approached. They recorded the outcomes of their conversations, noting the length and nature of each interaction.

Over the course of the month, the author spoke to many people, forming varying degrees of connections. Some conversations led to friendships, while others were brief and unfruitful. They learned that even if someone seemed uninterested, it was okay, and that awkward moments were manageable.

As the experiment progressed, the author found it easier to approach new people, and the experience became rewarding. They developed closer connections with a few individuals, particularly a fellow Asian gym-goer, and began hanging out outside the gym.

By the end of the month, the author had created a network of acquaintances and felt less lonely, although they still desired more weekend social interactions. They reflected on their growth in confidence and resilience, concluding that the gym can be a place for community as well as fitness.

Summary of AI Adoption

AI adoption in organizations is complex and often leads to challenges in learning and productivity. Ethan Mollick highlights that individual gains from AI do not always translate into organizational benefits. Many companies are now using AI tools, but the integration and learning process can be messy and inconsistent.

1. Phases of AI Adoption:

   • The first phase involves comfortable rollouts of AI tools, where companies provide access and training. However, this often leads to superficial engagement.
   • The second phase reveals uneven usage across teams, with some fully utilizing AI while others barely scratch the surface, creating a "messy middle."

2. Learning vs. Usage:

   • The key question is not whether people are using AI, but whether organizations are learning from its use. Effective learning requires understanding how AI impacts work processes and decision-making.

3. Challenges with Current Structures:

   • Traditional methods for managing change (like meetings and training) may not keep pace with the rapid developments in AI. Companies need to adapt faster to capture learnings from AI usage.

4. Need for New Frameworks:

   • A new framework is needed to assess AI's impact on learning, including:
     • Agent Operations: Understanding the AI tools in use and their permissions.
     • Loop Intelligence: Identifying which AI-assisted processes lead to meaningful learning.
     • Agent Capabilities: Distributing useful AI capabilities throughout the organization without centralizing them too rigidly.

5. Avoiding Surveillance:

   • Organizations must ensure that tracking AI use does not become a means of employee surveillance. The focus should be on understanding how AI changes work and fosters learning, rather than just measuring usage.

6. The Importance of Learning Velocity:

   • In the future, the competitive advantage will come from how quickly organizations can learn and adapt from AI usage, rather than just having access to AI tools.

In conclusion, successful AI adoption requires organizations to focus on learning and adaptability, rather than merely counting tool usage. Companies need to create environments that foster continuous learning and improvement through AI.

The Earth receives enough sunlight every hour to power all of humanity for a year, and this energy is free and abundant. We have known how to turn this sunlight into electricity for a long time, but we still rely heavily on fossil fuels, which harm the environment. Some challenges to adopting solar energy come from outdated power systems and political debates about its effectiveness. However, the science behind solar energy is well understood, and its costs have dropped significantly. This piece will discuss the science, economics, and infrastructure related to solar energy.

Summary: Should I Run Plain Docker Compose in Production in 2026?

Yes, you can run plain Docker Compose for production workloads in 2026, but you need to address several operational gaps it leaves open. Here are the key points:

1. Operational Gaps: Common issues with Docker Compose include orphaned containers, unbounded logs, health checks that don’t restart unhealthy containers, and image tags that can change unexpectedly.

2. Key Solutions:

   • Orphan Containers: Use the --remove-orphans flag when running commands to automatically remove containers that are no longer in your configuration.
   • Disk Management: Regularly prune unused Docker images and set limits on container logs in the Docker configuration file (daemon.json) to prevent disk filling.
   • Health Checks: Docker does not automatically restart unhealthy containers. Use an autoheal sidecar or consider switching to Docker Swarm, which handles this automatically.
   • Image Tagging: Avoid using :latest for images. Instead, use content-addressable digests (e.g., myapp@sha256:...) for stable references.
   • Security: Be cautious when mounting /var/run/docker.sock as it can give root access to containers. Limit which containers have this access.
   • Updates: For managing updates across multiple customer hosts, consider using an agent that can automate the process instead of manually SSH-ing into each host.

3. When to Switch: If your Docker Compose setup becomes too complex, transitioning to Kubernetes is often the better long-term choice, as it provides a more robust solution with greater support and tooling.

In summary, while Docker Compose can still be effective for production in 2026, it requires careful management of its quirks and potential issues. If you prefer not to handle these challenges manually, consider using the Distr Docker agent, which automates many of these processes.

Peter Raven, a renowned conservationist and influential figure in botany, passed away at the age of 89 on April 25, 2026. He led the Missouri Botanical Garden (MOBOT) in St. Louis from 1971 until his retirement in 2010, transforming it into a respected center for botanical research and conservation. Under his leadership, the garden expanded significantly, adding notable features like the Japanese Garden and the Children's Garden.

Raven was also a key figure in scientific research, coining the term "coevolution" with biologist Paul Ehrlich, which explores the interactions between plants and herbivores. He received numerous honors, including a National Medal of Science and recognition as a "Hero for the Planet" by Time magazine.

His legacy is felt not only in the scientific community but also in the beauty he brought to St. Louis through the garden's development.

The Federal Energy Regulatory Commission (FERC) has fined the Durham-based company American Efficient $722 million and ordered it to repay over $410 million for alleged fraud in its energy efficiency program. FERC claims American Efficient withheld important information from grid operators, allowing it to manipulate energy markets. The company, which specializes in buying sales data and environmental attributes from retailers, disputes the allegations, insisting they are without merit.

FERC's ruling was unanimous among its five commissioners, who expressed concern over the company's practices. Commissioner David La Certe plans to refer the case for a potential criminal investigation due to concerns about the company's financial activities related to capacity auction proceeds.

The investigation into American Efficient began nearly five years ago after market monitors raised alarms. FERC argues that the company's payments to retailers did not effectively encourage the sale of energy-efficient products. American Efficient has conducted a significant amount of business in capacity auctions over the years, claiming that its practices help reduce energy demand and costs for consumers.

However, FERC disagrees with this assessment, citing specific examples that suggest the company's business model may not be legitimate. American Efficient is exploring legal options to contest the penalties and may seek a trial, which would allow it to present its case in federal court.

Currently, American Efficient's ability to participate in future capacity auctions is limited, and it faces scrutiny from other grid operators. The company maintains that it has been unfairly targeted and is committed to defending its business practices.

Canadian musician Ashley MacIsaac is suing Google for defamation after the company’s AI tool incorrectly labeled him as a sex offender. He is seeking $1.5 million in damages, claiming the false information led to the cancellation of a concert. The lawsuit states that Google’s AI Overview falsely claimed he had multiple criminal convictions and was on a sex offender registry for life.

MacIsaac argues that Google is responsible for the harmful misinformation and did not contact him or apologize for the error. The Sipekne’katik First Nation, which canceled his concert, later apologized, acknowledging that the cancellation was based on incorrect AI-generated information.

MacIsaac expressed concern about the impact of this misinformation on his safety and reputation, stating that he fears performing due to the false allegations. He believes this issue needs to be addressed legally. Google has acknowledged issues with AI-generated content, stating they work to improve their systems when mistakes occur.

Summary of CVE-2026-31431: Copy Fail vs. Rootless Containers

Introduction: This document discusses a vulnerability known as CVE-2026-31431, referred to as "Copy Fail." The author explores the exploit process, how it interacts with the Linux kernel, and how rootless container technology can prevent privilege escalation.

Vulnerability Overview: The exploit involves a bug that allows an attacker to overwrite the /usr/bin/su binary in memory, leading to unauthorized root access. The author emphasizes the importance of analyzing the shellcode before executing any exploits.

Exploit Process:

1. Shellcode Analysis: The shellcode is a compressed binary that, when executed, attempts to gain root privileges using system calls.
2. Lab Setup: A Fedora virtual machine was created to reproduce the vulnerability, using a kernel version that is vulnerable.
3. Rootless Container Configuration: The author sets up a rootless Podman environment, which allows containers to run without root privileges on the host.

Running the Exploit:

• The exploit is executed inside a container using modified security settings to allow tracing.
• The author captures the exploit's behavior using strace, demonstrating how it corrupts the page cache and executes the malicious code.

Key Findings:

• The exploit successfully escalates privileges to root within the container; however, this root access is limited to the container's user namespace, meaning it does not equate to root access on the host machine.
• The kernel's user namespace mapping ensures that "root" inside the container maps to an unprivileged user on the host.

Monitoring Kernel Activity:

• The author uses eBPF to monitor system calls, capturing the kernel's response to the setuid attempts, showing that the kernel rejects unauthorized access when the exploit runs with a debugger.

Conclusions:

• The rootless container architecture effectively contained the privilege escalation. While the exploit succeeded in gaining root access within the container, it could not impact the host system due to the user namespace isolation.
• The author suggests that for environments like OpenShift, enabling user namespaces can provide similar security benefits.

Final Notes: Although rootless containers enhance security, they are not foolproof. Shared page caches across containers can pose risks if one container corrupts binaries that others rely on. Future enhancements may include additional security measures to mitigate these risks.

On May 5, 2026, Claude announced the release of ten new agent templates designed to streamline time-consuming tasks in financial services, such as creating pitchbooks, screening KYC files, and closing monthly accounts. These templates can be quickly implemented as plugins in Claude Cowork and Claude Code or used as cookbooks for Claude Managed Agents, significantly reducing the time needed to integrate AI into financial workflows.

Claude now supports Microsoft Excel, PowerPoint, Word, and Outlook through add-ins, allowing seamless transition of tasks across these applications without needing to re-explain context. Users can assign tasks to Claude via text or voice and can review and approve its work before finalizing.

Claude has also expanded its ecosystem by adding new data connectors and a Managed Connector Program (MCP) app, enhancing its ability to access real-time market and research data from various providers, ensuring that its insights are based on reliable information.

Key agent templates include tools for financial research, client coverage, valuation checks, and KYC compliance. Users can operate these templates either manually alongside analysts or autonomously on the Claude Platform.

Major financial institutions are already using Claude, reporting improvements in efficiency and productivity. The updates are available in the financial services marketplace, and interested users can explore them through a livestreamed keynote and hands-on webinars.

The article discusses a quirky programming prank involving a line of C code: "while the king lives." This line can compile into a valid statement through preprocessor directives. The author reminisces about encountering this code during college and explores its origins in the GNU Hello program.

GNU Hello, which prints "Hello, world!", has evolved significantly since its first version in 1992, originally including code that could read emails. The article highlights the growth of the codebase from a few hundred lines in the early versions to nearly 39,000 lines in the latest version, despite the original functionality being simple.

The phrase "while the king lives" was removed in version 2.6 in 2010, but the identity of "the King" remains a mystery, with a suggestion that it refers to a programmer from the GNU project. The author expresses curiosity about the King’s whereabouts and invites him to reconnect.

The author discusses issues related to "async Rust," particularly the problem of "async bloat," which refers to the increased binary size caused by using asynchronous programming on small devices like microcontrollers. They argue that this bloat is more noticeable on devices with limited resources, and they prefer to address the problem within the Rust compiler itself rather than through workarounds.

Key points include:

• Async Bloat: Using async Rust leads to larger binary sizes due to the overhead from state machines generated by the compiler.
• Project Goal: The author has proposed a project to improve the compiler to reduce async bloat and is seeking funding for this work.
• MIR Analysis: The author analyzes the generated code for async functions, showing that the state machines can become excessively complex. They demonstrate that simpler and more efficient implementations could be achieved.
• Optimization Proposals: Suggestions include:
  • Changing the behavior of futures to avoid panics in certain states, which could lead to smaller binaries.
  • Inlining futures to reduce the number of state machines generated.
  • Collapsing identical states in async functions to streamline the code.
• Call for Support: The author is looking for organizations to help fund this project, estimating that around €30,000 would be needed to accomplish significant improvements.

Overall, the article highlights the challenges of using async Rust in embedded systems and proposes solutions to enhance performance and reduce code size.

I created PaletteInspiration.com, a website that showcases color palettes from over 3,000 famous artists like Monet and Van Gogh. I noticed that most color palette tools only offer similar muted colors, ignoring the rich color choices made by painters throughout history.

One feature on the site is the Color Harmony Explorer, which lets you select any color and see which colors were commonly used together by these artists. This is based on actual paintings, not just color theory rules. The site is free to use, with no sign-up or payment required, and I would love to hear your thoughts on it.

No summary available.

Summary of "Train Your Own LLM From Scratch" Workshop

This workshop teaches participants how to build a language model (LLM) from scratch, specifically a simplified version of GPT-2 using a small dataset. The goal is to provide hands-on experience by writing every part of the training pipeline.

Key Features:

• Hands-On Learning: Participants will create a GPT model capable of generating text similar to Shakespeare's writing.
• Components Covered:
  1. Tokenizer: Converts text into numbers for the model.
  2. Model Architecture: Understands the transformer structure including embeddings and attention layers.
  3. Training Loop: Covers how to train the model using forward passes, loss calculations, and optimizers.
  4. Text Generation: Teaches how to generate text from the trained model.

Requirements:

• Any laptop or desktop (Mac, Linux, Windows) with Python 3.12 or higher.
• Basic understanding of Python, but no prior machine learning experience is needed.

Setup Options:

• Local Installation: Recommended for better performance.
• Google Colab: Alternative for those without a local setup.

Workshop Structure:

• The workshop is divided into six parts, each focusing on a specific aspect of model building, from tokenization to training and generating text.
• Participants will experiment with different configurations and even compete to create the best AI-generated poetry.

Tokenization: The workshop uses character-level tokenization, which is more suitable for smaller datasets like Shakespeare.

By the end of the workshop, participants will have a functional model and a deeper understanding of how LLMs work.

If you want to prank a friend with an Android phone that has an opaque case, you can hide an NFC tag between their phone and the case. This tag can be set up to open a specific website whenever they unlock their phone, without any notifications or confirmations. For tech-savvy friends, you might have it direct them to a page about trying Gemini, joking that it’s due to Google pushing engagement. Just remember to inform them before they reset their phone.

The containerd image store is the default storage system for Docker Engine version 29.0 and later. It uses snapshotters instead of traditional storage drivers, which allows for better management of image layers. Here are the key points:

1. Benefits of containerd image store:

   • Supports multi-platform images without needing external builders.
   • Handles images with attestations (like provenance and SBOM).
   • Allows running WebAssembly (Wasm) containers.
   • Offers advanced features like lazy image pulling and peer-to-peer distribution.

2. Disk Space Usage:

   • The containerd image store uses more disk space than the old system because it stores images in both compressed and uncompressed formats.
   • This can lead to higher usage, especially with many images sharing base layers.

3. Enabling containerd image store:

   • If upgrading from an older version, you must manually enable it by updating the configuration file (/etc/docker/daemon.json) and restarting Docker.
   • Existing images will not be deleted but will be hidden when switching storage systems.

4. Experimental Features:

   • Docker includes an experimental feature for automatic migration to the containerd image store, but it is not guaranteed to work reliably.

5. Recommendations:

   • Use commands like docker image prune to manage disk space.
   • Consider the new storage system's requirements before switching.

Overall, the containerd image store enhances Docker's image management capabilities, though it requires more disk space and careful configuration.

The article discusses the ongoing research into the causes of lightning, highlighting the work of physicist Joseph Dwyer and others who are using advanced instruments to explore thunderstorm phenomena. Despite centuries of study, many aspects of lightning remain mysterious, particularly how lightning bolts initiate, as traditional theories have not fully explained this process.

Key points include:

1. Current Understanding: Traditional theories linked lightning to electric fields in storm clouds, but researchers found that these fields are often too weak to cause lightning, prompting new investigations.

2. Advanced Research: New tools and techniques have allowed scientists to observe unexpected phenomena, such as gamma rays emitted from thunderclouds, suggesting that high-energy processes similar to those seen in cosmic events might play a role in lightning formation.

3. Runaway Electrons: Dwyer proposed a theory involving "runaway avalanches" of electrons, which could amplify electric fields in clouds and lead to lightning. His simulations support the idea that these avalanches might contribute to lightning initiation.

4. New Discoveries: Recent missions, such as NASA's ALOFT, have provided significant data showing that storm clouds exhibit various gamma ray emissions, even without visible lightning, indicating complex processes at work.

5. Competing Theories: Other researchers, like Xuan-Min Shao, suggest that cosmic-ray showers might also trigger lightning, adding complexity to the understanding of lightning’s origins.

6. Ongoing Mystery: While new theories are emerging, the exact mechanisms behind lightning initiation remain unclear, and researchers continue to find unexpected patterns and behaviors in thunderstorms.

Overall, the study of lightning is evolving, revealing that multiple factors may contribute to its occurrence, and researchers expect to uncover more as they gather further data.

Summary:

The Google Tag Gateway for Advertisers allows you to use a Google tag on your own website, utilizing your existing infrastructure like a Content Delivery Network (CDN) or web server. Key features include:

• Speed: Helps improve conversion rates.
• Reduced Third-Party Interactions: Minimizes reliance on outside services.
• Privacy: Prioritizes user privacy by default.
• Easy Setup: Offers automatic configuration options.
• Documentation Available: Guides for setting up with a CDN and server-side tagging.

To set it up, you need to map a custom domain and load the necessary first-party scripts.

No summary available.

The text introduces GLM-5V-Turbo, a new model designed for multimodal agents that can understand and act in various contexts like images, videos, and documents. Unlike previous models, GLM-5V-Turbo integrates multimodal perception directly into its reasoning and planning processes. The report highlights key improvements in model design, training, and integration with other tools, resulting in enhanced performance in tasks that involve both visual and text-based coding. Additionally, it provides valuable insights into creating effective multimodal agents, emphasizing the importance of multimodal perception, organized optimization, and trustworthy verification methods.

The text discusses the release of version 3.8.0 of the pyinfra project, which includes numerous fixes and improvements. Key points include:

• The release introduces full semantic versioning.
• Major bug fixes and enhancements across various components, such as operations, facts, and connectors.
• Improvements to security, including better handling of user inputs to prevent command injection.
• New features, like support for Docker operations and expanded functionality for existing operations and facts.
• Updates to documentation and code quality.
• Acknowledgment of the contributors who helped with this release.

Overall, it's a significant update aimed at improving the functionality and security of the pyinfra tool.

GameStop has made a surprising $55.5 billion offer to buy eBay, valuing eBay at $125 per share, which is $20 higher than its recent trading price. GameStop's CEO, Ryan Cohen, believes he can lead eBay to compete effectively with Amazon and is prepared to take his bid directly to eBay's shareholders if the board rejects it. Analysts, however, are skeptical, citing the companies' different business models and GameStop's smaller financial resources.

GameStop, known for its rise during the pandemic as a "meme stock," has improved its financial performance but still has a market valuation of around $11.9 billion. eBay, once a leading marketplace, has seen its user base decline from 175 million in 2018 to 136 million today. Cohen plans to cut eBay's costs by $2 billion, mainly in sales and marketing, if the deal goes through.

While eBay's shares rose by 5% following the offer, GameStop's shares fell by over 9%. Analysts suggest the merger may not be beneficial for eBay due to GameStop's debt, and they believe the two companies may not be a strong match.

The author is currently searching for an engineering job but is concerned about the future of engineering roles and their salary stability. They are also contemplating whether they should return to school in their 40s.

HipChat is a powerful communication tool designed for teams, featuring group chat, video chat, and screen sharing. It allows businesses to communicate effectively without the clutter of emails. Key features include:

• Cross-Platform Access: Available on Mac, Windows, iOS, Android, Linux, and as a web app.
• Group Video Chat: Easily set up and join group video calls to make quick decisions.
• Screen Sharing: Simplify discussions by sharing your screen with teammates.
• Integrations: Connect with popular services like JIRA, GitHub, and Google for notifications and updates.
• Custom Fun: Use custom emoticons, bots, and animated gifs to make work enjoyable.
• Security: Conversations are encrypted for privacy, and you can host HipChat on your own server for added control.
• Unlimited Chat Rooms: Create and archive chat rooms for different projects or teams.
• File Sharing: Drag and drop files from various sources, with previews for easy access.
• Searchable History: Easily find past conversations using keywords.

HipChat is praised by many companies as a central hub for communication, streamlining teamwork and reducing the chaos of traditional email. You can start using it for free or host it on your own server.