The author has been training their small dog, Momo, to create video games by typing on a keyboard. The process involves using a Raspberry Pi to send Momo's keystrokes to an AI called Claude Code, which interprets her random inputs as game design ideas. The results have exceeded expectations.

Initially, the author had a humorous incident where Momo accidentally typed while playing around the keyboard, which sparked the idea of using her to generate game content after losing their job. The setup includes a Bluetooth keyboard, a program that filters keystrokes, and a treat dispenser that rewards Momo for her input. The games take 1-2 hours to create and are built using Godot software.

To improve the process, the author developed tools for providing feedback to Claude Code, allowing it to check for errors and even playtest the games. The author found that the key to success was not just the quality of input but the efficiency of feedback mechanisms.

Momo has successfully produced several playable games, each improving as the tools and prompts were refined. The author emphasizes that with the right systems in place, even nonsensical input can lead to playable games, and encourages others to try similar projects, regardless of the input source. All tools and examples are available through provided links.

Summary

Key Points:

1. Correspondence with Persona's CEO: Rick Song has agreed to respond to questions regarding Persona's operations, but key findings about their watchlist database remain unaddressed.

2. Legal Compliance: The authors assert that no laws were broken during their investigation, which relied only on publicly available information. They emphasize that this research is protected under various legal frameworks.

3. Identity Verification Concerns: The investigation revealed that Persona, a KYC (Know Your Customer) service provider, uses facial recognition to verify identities and screens users against various government watchlists, including a database that flags "suspicious entities."

4. Data Exposure: A significant security flaw was found—53 MB of unprotected source code was accessible online, revealing extensive capabilities, including filing Suspicious Activity Reports (SARs) directly with the U.S. Treasury and maintaining biometric databases.

5. Integration with Government Systems: Persona's platform is linked to government operations, filing financial reports and retaining biometric data for up to three years, raising privacy concerns.

6. Surveillance Features: The code includes features for background checks, facial comparison with political figures, and continuous monitoring of users, which could lead to potential misuse of personal data.

7. Questions Raised: The investigation poses several questions about data retention, compliance with privacy laws, and the specific functionalities of the watchlist screening system used by Persona and OpenAI.

8. Concluding Remarks: The authors stress the importance of transparency regarding how personal data is handled and the potential implications of surveillance technologies in everyday applications.

This summary highlights significant findings about privacy concerns and the implications of using identity verification services that integrate with government surveillance systems.

In 1978, on my 10th birthday, I visited Disneyland and rode the thrilling Space Mountain roller coaster. Inspired, I dreamed of creating a roller coaster with multiple loops, which I named the Quadrupuler. After learning that a similar ride was being built at Magic Mountain, I was motivated to design my own version, complete with blueprints and a model made from Styrofoam and balsa wood.

Despite challenges in building the loops safely, I persevered, using heat-bent plastic. Once finished, I proudly sent my model to Disneyland, hoping for a response. After weeks of waiting, I received a letter from WED Enterprises, which was part of Disney. They appreciated my idea but mentioned they were working on their own ride.

Far from being discouraged, the positive response boosted my confidence and encouraged my inventing spirit. Over the years, I continued to invent, despite facing rejections, finding resilience in early validation from Disney. Now, as an actor, I see similarities between inventing and acting, both requiring persistence and creativity. Whenever I feel frustrated, I remember my 10-year-old self and the important lesson of taking things one step at a time.

No summary available.

Summary:

On February 24, 2026, various organizations from civil society, nonprofits, and tech companies sent a letter to Google’s leadership opposing a new policy that requires all Android app developers to register with Google to distribute apps outside the Play Store. Key points of concern include:

1. Increased Control: The policy shifts Android from an open platform to one where Google has greater control over app distribution, requiring developers to get approval from Google, which could lead to arbitrary restrictions.

2. Barriers to Innovation: Mandatory registration could hinder small developers, open-source projects, and those in regions with limited access to Google’s registration, reducing diversity and innovation in the software ecosystem.

3. Privacy Issues: Centralized registration could lead to a database of developers, raising concerns about data security and potential surveillance.

4. Risks of Unfair Enforcement: Existing app review processes are criticized for being inconsistent and opaque, which could lead to unfair rejections or suspensions of apps.

5. Anticompetitive Risks: The policy could give Google an unfair advantage by allowing it to monitor all Android development activities and potentially stifle competition.

6. Regulatory Scrutiny: The policy faces scrutiny from regulators concerned about monopolistic practices and the impact on software freedom.

The signatories urge Google to withdraw the registration requirement, engage in dialogue about security improvements, and uphold Android’s open platform principles. They emphasize that existing security measures are sufficient and that the new policy threatens free speech, competition, and digital sovereignty.

No summary available.

No summary available.

Tesla has added 64 new Megacharger locations to its map, which shows where Semi trucks can charge. This update reveals new routes for Tesla's Semi trucks, making it easier for drivers to find charging stations on their journeys.

No summary available.

Samsung's Galaxy Upcycle was an initiative announced in 2017 aimed at repurposing old Galaxy phones into useful devices like smart home sensors or retro game consoles. Despite the initial excitement and support from the community, the project faced a prolonged silence from Samsung, leading to disappointment. In 2021, Samsung released a limited version called "Galaxy Upcycling at Home," which only allowed phones to detect sounds and measure brightness, straying far from the original vision.

The reasons for the project's failure included Samsung's reluctance to unlock bootloaders, which would facilitate more extensive repurposing, and a lack of profitability, as the company benefits more from selling new phones than supporting old ones. Although Samsung received a sustainability award for its efforts, the actual impact has been minimal, with poor phone recovery rates and limited functionality.

Despite Samsung's shortcomings, users can still repurpose old phones through third-party apps and projects, although the original comprehensive support from Samsung is lacking. The Galaxy Upcycling initiative remains technically available but has not been updated since its beta launch, and there has been no official acknowledgment from Samsung regarding the gap between the promises made and the outcomes delivered.

No summary available.

Hugging Face Skills Overview

Hugging Face Skills are organized resources for AI/ML tasks, such as creating datasets, training models, and evaluating results. They work with major coding tools like OpenAI Codex and Google DeepMind's Gemini CLI. Each skill is stored in a self-contained folder that includes instructions and scripts.

How Skills Function:

• Each skill folder has a SKILL.md file that contains a description and guidance for the AI agent.
• Although "Skills" is a term used by Anthropic's Claude AI, it is compatible with various tools like Codex and Gemini.

Installation:

• Skills can be integrated into different platforms:
  • Claude Code: Add the repository as a plugin and install skills using specific commands.
  • Codex: Skills are identified via an AGENTS.md file.
  • Gemini CLI: Install using a gemini-extension.json file.
  • Cursor: Use plugin manifests for installation.

Available Skills:

1. hugging-face-cli: Manage Hugging Face operations.
2. hugging-face-datasets: Create and manage datasets.
3. hugging-face-evaluation: Handle evaluation results for models.
4. hugging-face-jobs: Run compute tasks on Hugging Face infrastructure.
5. hugging-face-model-trainer: Train or fine-tune language models.
6. hugging-face-paper-publisher: Publish research papers.
7. hugging-face-tool-builder: Create reusable scripts for API tasks.
8. hugging-face-trackio: Track and visualize ML training experiments.

Using Skills: Once installed, skills can be activated directly by mentioning them in instructions to the coding agent.

Contributing Skills: You can create or modify skills by copying existing folders, changing the SKILL.md, and updating related scripts. After making changes, you can publish the updates.

Marketplace: Skills are listed in the marketplace with descriptions for easy browsing by users.

For more resources, you can check the Hugging Face Skills repository for scripts and documentation.

MackyEngine is a service that allows you to connect your iPhone to a Mac Terminal. Here are the key points:

1. Security Features:

   • End-to-End Encryption: Data is protected and invisible on the network.
   • Identity Verification: A master password and identity tokens ensure only authorized access.
   • Device Approval: Each device must be approved before connecting.
   • Privacy: Data does not go through the cloud during the connection.

2. Pricing Plans:

   • Basic Plan: Free forever, allows 5-minute sessions on 1 Mac and 1 iPhone.
   • Pro Plan: $29 for a lifetime, includes unlimited sessions and devices, along with connection logs and background connecting.

3. User Testimonials: Users appreciate the convenience of accessing the terminal from anywhere with a single app.

You can download the service for macOS 15+ and iOS 18+ from the App Store.

The article "When Security Theater Fails" by Ibrahim Diallo discusses the challenges and inefficiencies of a new security system implemented in a company after it was acquired by a larger firm. Key points include:

1. Increased Security Measures: The company installed key card readers and turnstiles at entrances and elevators across three high-rise buildings to enhance security.

2. Initial Problems: The activation of the parking lot and building doors caused long lines and frustration, as employees often forgot their key cards, leading to delays in accessing their offices.

3. Turnstile Chaos: On the first day of full turnstile operation, employees faced overwhelming wait times and confusion as they struggled to scan their cards and access crowded elevators.

4. Failure of Turnstiles: After a few days of chaos, the turnstiles were shut down due to their inefficiency and disruption.

5. Real vs. Perceived Security: The article highlights a disconnect between visible security measures (like turnstiles) and actual security practices, such as proper coding and data storage, which were neglected. The author emphasizes that true security is often invisible and requires good engineering rather than flashy, attention-grabbing solutions.

In summary, while the company aimed to enhance security, the implementation of turnstiles created more problems than solutions, illustrating the concept of "security theater" where the focus is on appearances rather than effective security practices.

Emdash is an open-source desktop app created by Arne and Raban that helps developers run multiple coding agents simultaneously in isolated environments. It focuses on improving the coding workflow by allowing parallel work with minimal hassle.

Key features include:

• Running agents in their own git worktrees, either locally or via SSH on remote machines.
• Fast task startup, reduced to about 500–1000 milliseconds.
• Support for 21 coding agent command-line interfaces (CLIs), including popular ones like Codex and Claude Code.
• Easy integration with issue tracking tools like Linear, GitHub, and Jira.
• Capability to handle code reviews, commits, and pull requests directly within the app.

Emdash is available for macOS, Linux, and Windows and can be installed via Homebrew. The founders encourage feedback on how developers use coding agents and invite users to check out their repository on GitHub.

Kansai Airport in Osaka has never lost a piece of luggage since it opened 30 years ago, earning the title of "World’s Best Airport for Baggage Delivery" for the eighth time at the 2024 World Airport Awards. The airport efficiently handles up to 30,000 bags daily by sorting them and using sensors to track their location. Staff also manually align suitcase handles for easy identification at baggage claim. However, the airport is facing staffing shortages as it prepares for the upcoming 2025 Osaka-Kansai Expo, prompting plans to upgrade its systems for better efficiency.

No summary available.

Some cookies and software are essential for the website to work properly. They help with security, prevent fraud, and enable purchases. You can block these cookies in your browser, but this may cause some parts of the site to not work correctly.

No summary available.

Cross-site scripting (XSS) is a common web vulnerability that allows attackers to inject harmful HTML or JavaScript into websites. This can lead to data theft and manipulation of user interactions. Firefox 148 has introduced a new tool called the Sanitizer API, which helps web developers clean untrusted HTML before it is added to web pages, making the web safer.

The Sanitizer API simplifies the process of removing malicious code by allowing developers to use the setHTML() method instead of the risky innerHTML assignments. This method sanitizes the HTML, removing harmful elements while keeping safe content. Developers can also customize the sanitization process to suit their needs.

For even better protection against XSS, the Sanitizer API can be used alongside another security feature called Trusted Types, which helps control how HTML is processed in web applications. By adopting these new standards, developers can improve web security without needing extensive changes or a dedicated security team. Overall, this initiative aims to make the web a safer place for users.

No summary available.

KeePass is a popular password manager known for its strong security and reliability. However, its KDBX file format, based on XML since 2007, has become a barrier to adopting new security features.

Key Issues with KDBX:

1. Inflexible Schema: The KDBX format struggles to incorporate new features without breaking compatibility with older versions. This leads to confusion and inconsistency, especially with third-party plugins.
2. Storage Inefficiencies: KDBX files can become large and slow due to storing icons and attachments in a way that increases file size and memory usage. Every change rewrites the entire file, risking data corruption.
3. Governance Challenges: The long-term maintenance of the KDBX format by a single developer has stifled collaborative development, making it hard to implement modern features.

Proposed Solution: SQLite with SQLCipher: Switching to SQLite could resolve these issues by:

• Allowing for a more organized database structure, making it easier to add new features without compatibility problems.
• Reducing file sizes and memory usage since it doesn’t require loading the entire database into memory.
• Supporting efficient syncing and file recovery options that are currently lacking.

Call to Action: The KeePass community, especially developers of KeePassXC, should collaborate to establish a new, more flexible specification that accommodates modern needs. Users are encouraged to support this initiative in development forums.

Last month, we returned to MIT to teach an updated version of the Missing Semester course, six years after it first started. We revised the course based on our experiences and changes in technology, especially the rise of AI tools for developers.

The 2026 course includes four updated lectures from the original and adds five new ones:

1. Development Environment and Tools
2. Packaging and Shipping Code
3. Agentic Coding
4. Beyond the Code (soft skills)
5. Code Quality

We welcome feedback from the Hacker News community to improve this course and future ones, especially regarding our focus on AI topics and agentic coding.

• Anish, Jon, and Jose

The article is a biography of mathematician Terence Tao, who was born in 1975 and showed exceptional mathematical talent from a young age. At just 7 years old, he attended high school classes in math and physics while still in primary school. His abilities were recognized early; he learned to read and write at age 2 and was described as academically advanced but socially more like a typical seven-year-old.

The author, M.A. (Ken) Clements, recounts his first encounter with Tao after reading a newspaper article about him in 1983. Clements later assessed Terence's mathematical skills at his home, where he impressed everyone by scoring full marks on a challenging test designed for older students. During the assessment, Terence demonstrated a deep understanding of algebra and calculus concepts, using advanced terminology and reasoning.

Terence's family background played a significant role in his development. His parents, both educated in mathematics and science, encouraged his learning but allowed him the freedom to explore independently, especially in subjects he was passionate about. Terence often spent hours reading math textbooks and even taught himself programming at a young age.

Overall, the article highlights Terence Tao's extraordinary early life and mathematical talent, as well as the supportive environment provided by his family.

Summary:

Denver has decided to end its contract with Flock Safety, a company that provides automated license plate reading (ALPR) cameras, due to ongoing controversies. The city has awarded the new contract to Axon. This decision comes after a year of issues between Flock and the Denver City Council, especially after reports revealed that Flock shared data with federal agencies, including U.S. Border Patrol, which caused concern among council members.

Mayor Mike Johnston had previously extended Flock's contract without council approval but has now indicated that the new contract will require council consent. Flock's contract ends in March, and despite submitting a new proposal, the chances of Flock regaining the contract are slim due to the council's disapproval.

Axon, which has also developed its own ALPR technology, does not share data with federal immigration enforcement, unlike Flock. However, some experts warn that switching to Axon may not fully address concerns about privacy and data security, as both companies use similar technology that collects extensive vehicle information.

No summary available.

Stripe released its 2025 annual letter and announced a tender offer to buy back shares, providing liquidity to current and former employees. In 2025, businesses using Stripe generated $1.9 trillion, a 34% increase from 2024, representing about 1.6% of global GDP. Stripe’s Revenue suite is expected to reach a $1 billion annual run rate this year.

The company powers many major businesses, including 90% of the Dow Jones and 80% of the Nasdaq. The letter highlights that the new businesses joining Stripe in 2025 are performing exceptionally well, growing 50% faster than those in 2024. More than half of these new businesses are based outside the US.

Stripe is focusing on global commerce, with many companies earning revenue internationally. The company is pioneering "agentic commerce" by collaborating with partners on new technologies that facilitate transactions in the AI space, including launching new payment systems and protocols.

Despite a drop in Bitcoin prices, the use of stablecoins for payments doubled, with Stripe's acquisitions and innovations supporting this trend. Overall, Stripe is positioned as a leading financial infrastructure provider for the internet economy, continuing to innovate and expand its services. For more detailed insights, the full annual letter is available online.

Four Russian soldiers shared their harrowing experiences from the front lines in Ukraine with the BBC, revealing brutal conditions and executions ordered by their commanders. They described witnessing fellow soldiers shot for refusing orders, with one soldier recalling seeing a comrade executed just meters away. The term "zeroed," which means to execute soldiers who disobey orders, was frequently used among them.

In a documentary titled "The Zero Line: Inside Russia's War," the soldiers recounted how they were tortured for refusing to participate in deadly assaults, referred to as "meat storms." These assaults involved sending wave after wave of soldiers into battle, often resulting in high casualties, with estimates suggesting 900 to 1,500 Russian troops killed or wounded daily.

The soldiers detailed horrific treatment, including torture, starvation, and humiliation. One soldier, Ilya, described being tied up and mistreated after refusing to fight. Dima, another soldier, mentioned witnessing the execution of men and the callousness of commanders who would take soldiers' bank cards before killing them.

Despite the violence and terror they faced, the men expressed their disdain for the war and the leadership of President Putin, saying many soldiers do not support the conflict. They are now living outside Russia, haunted by their experiences. The Russian government claims that its military treats personnel with care, but the soldiers' testimonies highlight a stark contrast to this narrative.

Discord is facing criticism after its identity verification software, Persona Identities, had its code exposed online, leading to the discovery of nearly 2,500 files on a U.S. government server. These files indicated that Persona conducts extensive checks, including facial recognition and screening against watchlists, while also assigning risk scores to users.

In response to the backlash, Discord has ended its partnership with Persona, which lasted less than a month and involved a small number of users. The company stated that any information submitted would only be stored for a week before deletion.

This incident is not Discord's first issue with third-party vendors. Last year, hackers accessed government IDs of over 70,000 users during an age verification process, which Discord attributed to a third-party service, emphasizing its commitment to user privacy.

Recently, Discord announced new safety settings that required age verification for accessing certain features, but it quickly clarified that this would be optional unless users wanted to enter age-restricted areas. Discord assured users that identifying information would be deleted after age verification.

Persona’s CEO claimed that the exposed files were not a vulnerability but publicly accessible information, and he defended the effectiveness of their verification process. He denied any connections to controversial entities like Palantir or ICE.

Overall, Discord aims to enhance user safety while navigating challenges related to privacy and data management in its verification processes.

The author successfully ported Coreboot to the Thinkpad X270 in less than a week. The process involved several steps, including dumping the BIOS image for backup and to access critical sections for flashing. During the setup, the author accidentally knocked off a capacitor, which was later identified and replaced using a schematic.

After building the software, the author faced issues with the NVMe drive and WiFi not being recognized. They sought help from Leah Rowe, founder of Libreboot, to troubleshoot the problems. Together, they discovered that the issues were likely related to PCIe allocations.

After making necessary adjustments, the author was able to boot into GRUB and successfully run a Guix system, with both wireless and NVMe functionalities working. The author plans to upstream their changes and continue improving the setup, expressing gratitude for Libreboot and the community's support.

Summary: Unsung Heroes: Flickr’s URL Scheme

The author discusses how Flickr's URL design in the late 2000s greatly influenced their understanding of user interface and URLs. Flickr's URLs were user-friendly and simple, avoiding complicated elements like "www" or "php" endings. This made them easy to share and edit, allowing users to quickly navigate to specific pages by typing.

Flickr's URLs were also short and readable, making them convenient for use in emails or other text formats without the risk of being truncated. The author appreciates how predictable and logical the URL structure was, enabling users to guess other URLs with ease.

While Flickr is still in use, the author suggests a few improvements for 2026, such as removing unnecessary parts of the URL and adding human-readable names for easier recall. The author credits Flickr's thoughtful URL design as an inspiration for their own work and expresses a desire to know who was behind this innovative design.

No summary available.

Summary of enveil

Enveil is a tool designed to protect sensitive information stored in .env files from being accessed by AI coding tools like Claude Code and Copilot, which can read project files. Instead of storing plaintext secrets, enveil uses symbolic references in the .env file, while the actual secrets are kept in an encrypted local store. This approach ensures that plaintext secrets never exist on disk.

How Enveil Works:

• The .env file contains references like DATABASE_URL=ev://database_url.
• When running a command, enveil prompts for a master password and uses it to decrypt the stored secrets.
• The real values are injected into the environment of the subprocess that is launched.

Installation:

• Enveil can be installed via the Rust package manager cargo or from the source code.
• Once installed, it should be added to your system PATH for easy access.

Usage:

1. Initialize a Project Store: Run enveil init in your project directory to create an encrypted store.
2. Add Secrets: Use enveil set <key> to securely add secrets, which are entered interactively.
3. Reference Secrets: Update your .env file to use the ev:// syntax for secrets.
4. Run Applications: Use enveil run -- <command> to start your application with the secrets available in the environment.

Key Features:

• Secrets are never written to disk in plaintext.
• Each project has its own encrypted store that should be added to .gitignore.
• Commands like list, delete, and import help manage secrets securely.

Security Measures:

• Enveil includes automated tests to ensure that secrets are handled securely and checks for various security features.
• It prevents accidental exposure of secrets by not allowing them to be printed or exported.

Future Plans:

• Enveil may expand to include a global store for easier management across multiple projects and integration with system keychains to streamline password entry.

Summary: Making Wolfram Tech Available as a Foundation Tool for LLM Systems

Large Language Models (LLMs) are powerful but lack precision and deep computational abilities. To enhance LLMs, a "foundation tool" is necessary—something that provides accurate computation and knowledge. Stephen Wolfram has developed the Wolfram Language over 40 years to meet these needs, making it a suitable companion for LLMs.

With the rise of LLMs, integrating Wolfram's technology can significantly enhance their capabilities. Wolfram Language not only aids in computation but also helps AIs think and reason more effectively. It acts as a hub for connecting various systems and services.

As of now, there are new streamlined methods to connect LLMs with Wolfram's foundation tool, emphasizing real-time computational capabilities through a process called computation-augmented generation (CAG). This allows LLMs to generate content dynamically using precise computations.

Three primary methods for access include:

1. MCP Service: Easy setup for any LLM-based system.
2. Agent One API: A universal agent that integrates LLM models with Wolfram's tools.
3. CAG Component APIs: Fine-tuned access to Wolfram technology for custom integrations.

Overall, this integration aims to enhance LLM functionalities and make them more efficient in producing accurate results.

We are launching Steerling-8B, a new interpretable model that clearly connects its generated outputs to the input context, understandable concepts, and its training data. It has been trained on 1.35 trillion tokens and performs similarly to models trained on 2 to 7 times more data. Steerling-8B offers several features, such as the ability to adjust specific concepts during use without needing retraining, tracking the source of any generated content, and controlling outputs at the concept level, which reduces the need for extensive safety training examples.

No summary available.

No summary available.

No summary available.

A recent test involved asking 53 AI models whether to walk or drive 50 meters to a car wash. Initially, only 11 models answered correctly, with 42 choosing to walk. To ensure accuracy, the test was repeated 10 times. The results worsened, with only 5 models consistently getting it right. Notably, GPT-5 scored 7 out of 10, while many other models scored 0. In comparison, a human survey showed that 71.5% chose to drive, indicating that most AI models performed worse than humans. Detailed findings, including reasoning traces and data, are available for further analysis.

No summary available.

Starting April 1, 2026, prices for both new and existing cloud products will increase. This change applies to orders made before that date if they are delivered afterward. All prices listed do not include VAT.

Key Price Changes for Cloud Products (Hourly/Monthly)

1. CAX Series Cloud Servers:

   • Prices increase from €0.0053 to €0.0072 for CAX11, and from €0.0384 to €0.0505 for CAX41.
   • Similar increases across other CAX products.

2. CCX Series Cloud Servers:

   • Prices rise from €0.0192 to €0.0256 for CCX13, and from €0.1538 to €0.2003 for CCX43.
   • Consistent price hikes for other CCX products.

3. CPX Series Cloud Servers:

   • Prices increase from €0.0096 to €0.0128 for CPX11, and from €0.0617 to €0.0809 for CPX62.
   • Price adjustments apply to all CPX products.

4. LB Series Cloud Servers:

   • Prices rise from €0.0088 to €0.0120 for LB11, and from €0.0495 to €0.0689 for LB31.
   • Increases seen across all LB products.

5. Dedicated Servers in Germany:

   • Monthly prices for various dedicated servers will also increase, for example, from €41.10 to €42.30 for AX41-NVMe.

6. General Note:

   • All "Server Auction" servers will see a 3% price increase.

This summary highlights the key price changes across different server products and categories.

No summary available.

No summary available.

No summary available.

No summary available.

No summary available.

On Tuesday, Wall Street opened down over 800 points due to concerns about the impact of artificial intelligence (AI) on the US economy. A speculative report from a small research firm, Citrini Research, described a future where AI agents disrupt the economy, leading to high unemployment and economic fallout.

Key points from the report include:

1. AI Disruption: The report suggests that AI agents will eliminate middlemen in various industries, causing traditional companies like Uber and Mastercard to lose business.

2. Mass Unemployment: Unlike previous technological advancements, this scenario predicts that AI will not create new jobs but will instead lead to widespread layoffs, pushing workers into unstable gig jobs and reducing consumer spending.

3. Economic Ripples: The anticipated job losses would trigger defaults in private credit markets and a mortgage crisis, as people can no longer repay loans. This could lead to a significant market crash.

4. Downward Spirals: The cycle of layoffs and reduced consumer spending would worsen, leading companies to invest more in AI and lay off even more workers.

5. Protests and Ghost GDP: The report predicts social unrest, similar to the Occupy Wall Street movement, as governments struggle to manage the economic crisis. It also introduces the concept of "ghost GDP," where economic output appears strong but does not benefit the average person.

Analysts express skepticism about the report's predictions but acknowledge that concerns about AI's impact on the economy are affecting market stability.

Summary of Decimal-java Library

Decimal-java is a Java library designed to convert between java.math.BigDecimal and IEEE-754r decimal byte representations.

Key Points:

• Maven Dependency: You can include it in your project using Maven with the following dependency:

  <dependency>
      <groupId>org.firebirdsql</groupId>
      <artifactId>decimal-java</artifactId>
      <version>2.0.1</version>
  </dependency>
  

• License: The library is licensed under the MIT license.

• API Status: The API is stable and won't change. Versions 2.0.0 and later require Java 17, while version 1.0.2 works with Java 7.

• Supported Formats: The library specifically supports conversions for:

  • Decimal32
  • Decimal64
  • Decimal128 Other formats are not planned for support.

• Non-Goals: The library does not perform mathematical operations on decimals. For that, BigDecimal with appropriate MathContext options should be used.

• Usage:

  • To decode a Decimal32 byte array to BigDecimal, you can use:

    byte[] bytes = {(byte) 0xc7, (byte) 0xf4, (byte) 0xd2, (byte) 0xe7};
    Decimal32 decimal32 = Decimal32.parseBytes(bytes);
    BigDecimal bigDecimal = decimal32.toBigDecimal();
    

  • To encode a BigDecimal to Decimal32 byte array, use:

    BigDecimal bigDecimal = new BigDecimal("-7.50E-7");
    Decimal32 decimal32 = Decimal32.valueOf(bigDecimal);
    byte[] bytes = decimal32.toBytes();
    

• Error Handling: Methods may throw exceptions for invalid conversions, such as DecimalInconvertibleException for infinity or NaN values.

• Background: The library was created to support the SQL DECFLOAT type introduced in Firebird 4.0. It aims to provide a generic solution for similar conversion needs.

• Contributions: Suggestions and pull requests for improvements are welcomed.

This library is particularly useful for developers working with Firebird databases and needing decimal conversions in their Java applications.

1Password has been dedicated to making online security simple and accessible since 2005. Recently, they have added new features to improve their service, including:

• Automatic saving of logins and payment information
• Better alert notifications through Watchtower
• Quicker and more secure device setups
• AI-based naming for items
• More recovery options
• Proactive prevention of phishing attacks

Despite these improvements, their pricing for Individual plans has remained mostly the same. However, starting March 27, 2026, the annual price will increase from $35.88 to $47.88. This new price will apply at your next renewal after that date.

If you have any questions, you can contact their support team. Thank you for your continued support!

Firefox 148 has been released with a new "AI kill switch" feature, allowing users to turn off AI functions like chatbots and AI-generated summaries. Once disabled, future updates won't reactivate these features. Users can access this option in Settings > AI Controls.

The update also gives users more control over remote updates and data collection settings. Key enhancements include better web security features, improved screen reader support for math in PDFs, and new translation options for Vietnamese and Traditional Chinese. Additionally, users can enjoy new tab wallpapers and support for WebGPU.

For more details, users can check the official release notes.

Lev and Justin, the creators of PgDog, have developed a tool for PostgreSQL that acts as a connection pooler, load balancer, and database sharder. PgDog aims to enhance database performance, especially for high-traffic applications, without needing changes to app code or database setups.

Key Features of PgDog:

1. Production Ready: PgDog is now in production, successfully handling sharding and queries.

2. Aggregate Functions: It supports functions like count, min, and max without requiring app changes.

3. Cross-Shard Writes: It ensures atomic and synchronized changes across shards, using a two-phase commit process.

4. Omnisharded Tables: These are mirrored on all shards, allowing consistent reads and writes.

5. Multi-Tuple Inserts: It can automatically distribute bulk insert operations across shards.

6. Unique Sequence Generation: PgDog provides a cross-shard unique ID generator, similar to a standard PostgreSQL sequence.

7. Efficient Resharding: It can quickly move large tables between shards, significantly speeding up the process.

8. Smart Load Balancer: It can redirect write traffic during failovers and handle complex queries effectively.

9. Connection Management: PgDog helps manage database connections by rolling back unfinished transactions and handling connection storms.

PgDog is open-source, configurable, and aims to simplify database management for developers. For more details, you can check their documentation.

Summary of "A Simple Web We Own" by R. S. Doiel

The author argues that the current Web is dominated by large corporations and governments, making users mere products in a surveillance economy. This raises questions about ownership and control over the Internet and technology. Doiel suggests that if individuals and cooperatives owned more of the hardware and software, it could lead to a more positive and innovative online environment.

Key points include:

1. Current State of the Web: Most web content is created by individuals, not corporations, yet these companies dominate the market and create barriers to entry for alternatives.

2. Alternatives Exist: Simple tools like Markdown have made web publishing more accessible. However, many existing content management systems, such as WordPress, are too complex for average users.

3. Need for Simplicity: There is a demand for easy-to-use software that allows individuals to create and manage their web content without needing technical expertise.

4. Decentralization: The Web can be decentralized by using personal computers and local networks, moving away from reliance on corporate services.

5. Ownership and Control: By owning their devices and networks, individuals can reclaim their autonomy and reduce dependence on corporations, which often prioritize profit over service.

6. Community Networks: Forming cooperatives for internet access can empower communities and improve local connections, akin to public roads.

7. Technological Progress: The author highlights how the cost and availability of computing power have drastically changed, making it easier for individuals to create their own web infrastructure.

The author concludes that to create a better web experience, individuals should take ownership of their technology, utilize simpler software, and work together in cooperatives to build a decentralized, user-controlled internet.

No summary available.

Andreas Kling announced that Ladybird, a project seeking a memory-safe programming language to replace C++, will adopt Rust. Although Rust was previously rejected due to its different object-oriented programming (OOP) style, it has a mature ecosystem and safety features that are now deemed necessary.

The first step in this transition is porting LibJS, Ladybird’s JavaScript engine, to Rust. The process involved using AI tools for code translation, ensuring the Rust version produces identical output to the original C++ code. The porting took about two weeks and resulted in 25,000 lines of Rust code, with no performance regressions.

Kling emphasized that while Rust will be integrated, C++ development will continue alongside it. The team will carefully manage the porting process, and they encourage coordination to avoid duplicate efforts.

Overall, Kling believes this decision is essential for the future of Ladybird.

Summary of Intel® Arc™ Graphics Driver Download Information

• Driver Information: The latest Intel® Graphics Driver version is 32.0.101.8509, certified by WHQL, and is designed for Intel® Arc™ B-Series and A-Series Graphics, as well as Intel® Core™ Ultra Processors with Arc Graphics.

• Download Details:

  • File: gfx_win_101.8509.exe
  • Recommended for Windows 10 (22H2) and Windows 11 Family
  • Size: 1.3 GB

• Installation Note: This generic driver may overwrite customized OEM (Original Equipment Manufacturer) graphics drivers. Users should consider checking OEM websites for specific drivers tailored to their devices.

• OS Support: Compatible with various versions of Windows 10 and Windows 11, including updates up to October 2024.

• Platform Support: Works with Intel® Arc™ graphics and Intel® Core™ Ultra processors, including multiple code names (Alchemist, Battlemage, Meteor Lake, etc.).

• Additional Resources: Users can access release notes and documentation for more details and guidance on driver installation and updates.

Summary of Graph Topology and Battle Royale Mechanics

The text discusses how to manage city closures in the game "Two Spies" using graph theory. In this game, the map is represented as a graph where cities are points (vertices) and routes between them are lines (edges). Closing cities is crucial because it prevents players from hiding indefinitely, similar to a "battle royale" format.

Key Points:

1. Graph Structure: Closing a city alters the graph's structure, potentially leading to problems like disconnected graphs (where players can't interact) or path graphs (long lines of cities that limit strategies).

2. Challenges: Removing a city changes the map's topology, making it essential to choose the order of city closures wisely.

3. Avoiding Issues:

   • Disconnected Graphs: Ensure that remaining cities are still connected after a city is removed.
   • Path Graphs: Avoid creating long, restrictive paths. A measure called the Wiener number helps assess the optimality of a graph based on the total distance between all pairs of cities.

4. Pruning Strategies:

   • Greedy Pruning: This method removes cities one at a time based on the lowest Wiener number, but it can lead to suboptimal maps later.
   • Beam Search: A more effective approach that evaluates multiple removal sequences at once, allowing for better long-term decisions and avoiding traps that the greedy method falls into.

5. Conclusion: Using mathematical techniques like Beam Search can enhance game design by maintaining engaging and playable environments, proving that old-school methods can be effective in modern contexts.

This blog shares various early ideas from the author. It includes posts on different topics, and there are categories for easier navigation. The author also links to their GitHub and Twitter. Some highlighted posts discuss the borrow checker in programming and the importance of empathy in the open-source community.

No summary available.

No summary available.

No summary available.

The article "The Age-Verification Trap" by Waydell D. Carvalho discusses the challenges of verifying users' ages in telecommunications and its impact on data protection. Carvalho argues that while age verification aims to protect younger users, it can actually compromise everyone's privacy. The author highlights concerns related to how age verification systems handle personal data and the potential risks to data security. In summary, the article emphasizes that age verification may not only fail to protect young users but could also harm overall data privacy for all individuals.

No summary available.

I created babyshark, a user-friendly terminal interface for analyzing PCAP files, designed for those who find Wireshark too complex.

Key features include:

• Overview Dashboard: Gives a clear picture of what’s happening and suggests next steps.
• Domains View: Lists hostnames, allowing users to select a domain and view related data, even with encrypted DNS.
• Weird Stuff View: Highlights common issues like latency and connection failures.
• Users can explore data in detail, moving from flows to packets, with explanations in simple language.

Commands to use:

• For offline analysis: babyshark --pcap capture.pcap
• For live analysis (with tshark): babyshark --list-ifaces followed by babyshark --live en0

Check out the repository and the first version here. I welcome feedback on user experience and suggestions for new features.

The author shares a fun project for Friday night: a tool for writing cellular automata using a version of Rust, which is then turned into WGSL code. This tool allows users to adjust settings while the simulation runs, making it easy to explore interesting behaviors without needing to remember how they got there. Users can save their experiments as a JSON file to replay and recreate their discoveries. The tool also supports panning and zooming, and users can change parameters with the arrow keys while focused on the main window. The author credits Claude for the technical aspects of the project and expresses their enjoyment of it, suggesting it’s a fun alternative to video games.

Catherine of Braganza married King Charles II of England in 1662, forming a crucial alliance between Portugal and England. This marriage aimed to strengthen Portugal's independence from Spain and provide England with resources to boost its economy. Catherine brought a personal box of tea from Portugal, which became a significant cultural legacy.

Catherine faced difficulties in her marriage. She was Catholic, which made her unpopular in Protestant England, and her husband preferred his mistresses, particularly Barbara Palmer. Despite her struggles, Catherine found solace in her tea, which she popularized among the English aristocracy as a social beverage rather than just a medicinal drink.

Over time, Catherine gained respect and independence, hosting gatherings at court. When Charles II died in 1685, he expressed a level of affection for her, and she mourned his passing deeply. After his death, Catherine returned to Portugal, where she became regent and lived until her death in 1705.

Catherine's most enduring legacy is her influence on English tea culture, which has persisted for centuries. Her marriage, while politically motivated, ultimately shaped a significant aspect of British social life.

The author describes their experience repurposing an old 2016 MacBook Pro, which had a Wi-Fi chip (Broadcom BCM4350) not supported by FreeBSD. They initially considered using a Linux virtual machine to manage the Wi-Fi but decided to create a native FreeBSD driver instead.

They enlisted the help of AI to port the existing Linux driver code to FreeBSD. This process involved several challenges, including kernel panics and compatibility issues with the AI-generated code. After realizing the complexity of the task, the author shifted their approach by having the AI create a detailed specification of how the driver should work, focusing specifically on the BCM4350 chip.

With a clear specification, the author worked with the AI to build the driver from scratch. The AI systematically developed the code, tested it, and iterated on improvements. Eventually, they successfully created a FreeBSD kernel module that supports Wi-Fi scanning and connectivity.

The resulting code is available online, though the author cautions that it is still a work in progress. They reflect on the value of this exercise, noting that while the driver isn't fully "done," the process of documenting decisions and iterating with the AI has been insightful.

Summary of Mercury 2 Introduction

Mercury 2 is a new language model that offers the fastest reasoning capabilities in the world, designed to enhance the efficiency of production AI applications. Unlike traditional models that process data sequentially, Mercury 2 uses a parallel approach, allowing it to generate responses much faster—over five times quicker than previous models.

Key features include:

• Speed: It generates 1,009 tokens per second on NVIDIA GPUs.
• Cost: $0.25 for 1 million input tokens and $0.75 for 1 million output tokens.
• Quality: Competes well with other fast models, offering tunable reasoning and support for large contexts.

Mercury 2 is particularly useful in areas where low latency is crucial, such as:

1. Coding and Editing: Provides rapid suggestions that feel seamless to developers.
2. Agentic Loops: Enhances workflows that require multiple inference calls, improving efficiency and output quality.
3. Real-time Voice Interaction: Supports natural conversation flows in voice applications.
4. Search and Retrieval Pipelines: Allows for quick reasoning in search processes without exceeding latency limits.

Mercury 2 is now available for early access and can easily integrate into existing systems without requiring major changes.

No summary available.

No summary available.

No summary available.

Sowbot is an open-source agricultural robot aimed at speeding up the development process for agri-robotics by reducing the time spent on initial setups. It features a compact hardware design with two ARM Cortex-A55 computers, one for navigation and the other for vision tasks. The robot uses advanced positioning systems and real-time communication for efficient operation.

The software can be run on two platforms, making it easy for research teams to replicate experiments by sharing resources. Currently, the main brain of the robot is mostly built, while the full-sized body is planned but not yet assembled. There are also smaller development versions being tested.

The project is run by a small volunteer team seeking contributors in various areas such as hardware, software, or documentation. Interested individuals can join the team through their Discord channel or check their GitHub for more information.

The article emphasizes that humility is essential for engineers, as it reflects a willingness to learn and face challenges. The author, Pedro Pérez de Ayala, shares insights from his 20 years in engineering, noting that arrogant engineers often lack true skill because they are not pushing their limits.

Engineering is a field where encountering difficulties and making mistakes is normal and necessary for growth. The comparison to motorcycle racing illustrates that failure is part of exploring new boundaries. Many engineers become complacent by doing repetitive tasks, which leads to a false sense of superiority. True engineering involves tackling difficult problems and accepting that failure is a part of the process.

The author warns that arrogance can indicate a lack of genuine challenge and understanding. In contrast, real confidence comes from knowing that one can find solutions through perseverance. He concludes that feeling challenged and humbled in work is a sign of progress, while feeling overconfident may mean it's time to seek more difficult problems. The struggle and learning are what truly matter in an engineering career.

No summary available.

The article discusses the author's experience porting the game Shufflepuck Cafe to the 8-bit Apple II, highlighting several key challenges and solutions throughout the process.

1. Learning to Display Sprites: The author started with a simpler game (Glider) to understand sprite handling and sound playback, which laid the foundation for the Shufflepuck project.

2. Creating a 3D Effect: Although Shufflepuck is not a true 3D game, the author achieved a 3D look through coordinate transformations and perspective calculations, using pre-calculated lookup tables to enhance performance.

3. Optimizing Sprite Drawing: Drawing sprites efficiently on the Apple II was complex due to time constraints. The author improved performance by using an exclusive OR method for drawing, reducing flickering and achieving smoother visuals.

4. Sound Management: Limited memory required the author to be creative with sound effects. Techniques included modifying pitch and reducing sample sizes to fit the available memory.

5. Memory Management: The game had to fit within 64KB of RAM, leading to a system where certain assets were loaded only when needed, balancing memory usage and performance.

6. Handling Sound Playback: Short sound effects were designed to minimize pauses in gameplay. The author carefully managed sound size and playback timing to keep the game responsive.

7. Adding Features: The iconic score-updating hand was redesigned to save memory while still capturing the essence of the original game.

8. Multiplayer Functionality: The author implemented a serial communication protocol to allow for multiplayer gameplay, optimizing data transfer between two systems.

Overall, the author expresses satisfaction with the ported game, believing it captures the original's spirit despite some missing features. The project provided a valuable learning experience, and the game is available for download on the project's homepage.

No summary available.

No summary available.

The article discusses the issue of workaholism among open source software developers, particularly maintainers. The author, Steven J. Vaughan-Nichols, highlights a recent discussion where the npmx team announced they would take a week off to rest, prompting Anthony Fu to advocate for more open source projects to prioritize breaks and balance.

Vaughan-Nichols explains that workaholism in the open source community is a systemic issue, rooted in the culture of freely sharing software and the pressure to maintain reputation and project popularity. Developers often start as enthusiastic volunteers but may feel overwhelmed by the demands of their projects, leading to long hours without proper compensation or support.

Many open source maintainers experience burnout due to the high expectations and lack of boundaries, often working 60-80 hour weeks while feeling morally obligated to address user requests. This situation is exacerbated by the absence of support structures that exist in traditional jobs, leaving maintainers directly facing criticism and unrealistic demands.

The article concludes by suggesting that the open source community needs to recognize the value of its developers and offer them the support and respect they deserve, including encouraging breaks to prevent burnout. It stresses the importance of changing the culture around work expectations in open source development.

This is an interactive timeline that shows all the major Large Language Models (LLMs). You can filter the timeline by whether the models are open or closed source, and it includes information on 54 different organizations that have developed these models. You can also search through the timeline easily.

On February 20th, New York expected just three inches of snow, but by February 23rd, Central Park recorded nearly 20 inches due to a sudden shift in weather forecasts. Initially, models predicted light snow, but a change in the storm's path led to a blizzard warning with heavy snowfall and strong winds. The storm caused significant disruptions, including over 5,600 flight cancellations and widespread power outages.

The storm intensified because it was fueled by warm ocean waters and cold air, leading to a phenomenon called bombogenesis, where the storm rapidly strengthened. Interestingly, extreme snowstorms can occur even in a warming climate because warmer air holds more moisture, resulting in more snow when temperatures are below freezing.

Historically, while the frequency of nor'easters may decrease, their intensity is increasing, meaning that when storms do occur, they can be much stronger. The February 2026 storm is now one of the largest on record in Central Park.

Globally, the Alps also experienced heavy snowfall at the same time, despite a general trend of decreasing snowfall over the years. This highlights a pattern where climate change leads to fewer but more intense snow events.

In summary, climate change is reshaping snowfall patterns, leading to both snow droughts and record blizzards. It's important to stay updated on weather forecasts as conditions can change rapidly.

The "Sleep Indicator Light," introduced with the iBook G3 in 1999, was designed to mimic human breathing at a calming pace. Originally found in the hinge of laptops, it was later moved and adapted for desktops like the iMac and Power Mac. Over the years, the light changed from green to white and became more sophisticated, including features like light sensors to adjust brightness in dark rooms.

A notable feature was that the sleep light on the Mac synced with the light on Apple displays when the computer went to sleep, creating a cohesive visual experience. This detail, while not marketed, was appreciated by users.

However, by the early 2010s, the breathing light was phased out, along with other features like the illuminated logo. The author reflects on the practical and comforting nature of the light, especially in an era when laptops often malfunctioned during sleep. They express nostalgia for this quirky feature, hoping that such thoughtful details could return in modern designs.

No summary available.

No summary available.

No summary available.

No summary available.

This text describes a person's journey of exploring and modifying Snom 360 VoIP phones from 2005. Initially, the aim was to set up a phone system using Asterisk PBX, but the author became intrigued by the idea of running the game Doom on the phone instead.

1. Firmware Upgrade: The author first upgraded the phone's firmware to the latest version available, using a web interface to upload the new firmware.

2. Exploring the Firmware: After the upgrade, the author investigated the phone's firmware, discovering it was running a custom HTTP server and Linux 2.4.31 on a MIPS chip. The firmware was not encrypted, allowing the author to extract and examine its filesystem.

3. System Analysis: The author found important directories and binaries within the phone’s filesystem, including components responsible for its web interface. They also identified the boot process and the custom binaries that ran on startup.

4. Finding Source Code: While searching online, the author located GPL-licensed source code for similar firmware versions, which proved to be very helpful. This included a more detailed root filesystem and tools for development.

Overall, the author is working towards the goal of running Doom on the Snom 360 phones, leveraging their investigation into the phone's firmware and system architecture.

The article discusses health checking in load balancing, explaining the differences between server-side and client-side models and their impact on system failure detection.

Key Points:

1. Load Balancing Models:

   • Server-Side Load Balancing: A central proxy manages traffic routing to backend services. It tracks the health of these services and can quickly stop sending traffic to unhealthy ones. This model is simple and consistent but may have latency in detecting failures.
   • Client-Side Load Balancing: Each client makes its own routing decisions based on a local view of available services. This approach can lead to faster failure detection but may result in inconsistent health assessments among clients.

2. Health Checking:

   • Server-Side Health Checks: The proxy periodically probes backend services. While this ensures a single authoritative view of health, it may delay failure detection by several seconds.
   • Client-Side Health Checks: Clients can use active checks (similar to server-side) or passive checks (monitoring request outcomes). Passive checks can detect failures immediately, but require at least one request to fail for the client to react.

3. Pros and Cons:

   • Server-side balancing is easier to manage and provides consistent routing, making it suitable for many teams.
   • Client-side balancing reduces latency and can handle high-scale environments better, but adds complexity in managing health checks across clients.

4. Choosing a Model: The decision between the two models depends on factors like system scale, traffic rates, and operational capabilities. Many large systems utilize both methods for different types of traffic.

In summary, understanding the differences in health checking between server-side and client-side load balancing helps to optimize system performance and reliability when failures occur.

No summary available.

The document discusses benchmarks for various concurrent hash map implementations in Go, focusing on their performance and characteristics. Here are the key points:

Participants:

1. sync.Map: Part of the Go standard library, uses a HashTrieMap for efficient reads and mutexes for writes. Performs well for reads but has a high allocation cost for writes.
2. xsync.Map: Offers fast performance in most scenarios, with low allocation costs for writes. However, it requires an external dependency.
3. cornelk/hashmap: Good for small, read-heavy workloads but struggles with larger sizes and write operations.
4. alphadose/haxmap: Provides decent performance for small, read-only tasks but has poor scalability for writes under contention.
5. orcaman/concurrent-map: Simple and zero allocations for reads and writes, but has limited scalability due to its fixed number of shards.

Workloads:

The benchmarks tested different read/write ratios and sizes, including:

• 100% reads
• 99% reads, 0.5% stores and deletes
• 90% reads, 5% stores and deletes
• 75% reads, 12.5% stores and deletes

Results:

Benchmarking involved various operations and map sizes, from small (100 entries) to large (1,000,000 entries), focusing on how well each implementation performed under different conditions.

Summary of Strengths and Weaknesses:

• sync.Map: Great for reads but has the highest write allocation costs.
• xsync.Map: Fastest overall but has some write allocations.
• cornelk/hashmap: Good for small maps but limited by size.
• alphadose/haxmap: Strong in read scenarios but weak in high-write situations.
• orcaman/concurrent-map: Zero allocations but limited scalability and performance.

Conclusion:

The benchmarks provide a comprehensive overview of how each concurrent hash map implementation performs under various conditions, helping developers choose the best option for their needs.

Mushroom® Packaging is an innovative solution that replaces traditional plastic packaging, specifically expanded polystyrene (EPS), which is harmful to the environment and takes centuries to decompose. This new packaging is made from mycelium and agricultural by-products, offering equal strength and cost-effectiveness compared to EPS while minimizing plastic waste.

As Europe's first large-scale mycelium packaging manufacturer, MMC has successfully produced millions of units since 2020, removing thousands of tons of EPS from supply chains. They plan to produce around ten million more pieces in 2026. Many leading brands trust MMC for their sustainable packaging needs.

With increasing regulations and consumer demand for eco-friendly options, businesses still relying on EPS could fall behind. Mushroom® Packaging is scalable, competitively priced, and ready for commercial use, promoting a sustainable future.

MicroVision is developing a lidar sensor that could cost less than $200, which is significantly lower than the typical prices today. The company aims to eventually produce a lidar unit that could even break the $100 mark. This advancement could change the economics of auto sensors, especially for self-driving cars.

No summary available.

The Anthropic Education Report: The AI Fluency Index, released on February 23, 2026, explores how people are using AI tools like Claude in their daily lives and whether they are developing the skills needed to use these tools effectively.

Key Findings:

1. AI Usage: People are increasingly using AI tools for tasks like writing reports and creating lesson plans. However, simply using AI does not guarantee improved skills.

2. AI Fluency: The report defines "AI fluency" as the ability to use AI effectively, based on a framework identifying 24 specific behaviors. The study focused on 11 observable behaviors from conversations on Claude.ai, analyzing nearly 10,000 dialogues.

3. Collaboration Patterns: Two main patterns emerged:

   • Iteration and Refinement: Successful users often engage in longer conversations, revising and questioning AI outputs. These iterative conversations showed higher rates of fluency behaviors.
   • Artifact Creation: When users create outputs like code or documents, they tend to give clearer instructions but are less likely to critically evaluate the AI's reasoning or identify missing information.

4. Improvement Areas: The report suggests users can enhance their AI fluency by:

   • Staying engaged in conversations and refining their requests.
   • Being critical of polished outputs to ensure accuracy.
   • Clearly stating how they want the AI to assist them.

5. Limitations: The findings are based on a specific user group and time frame, which may not represent all AI users. Additionally, some behaviors related to ethical AI use were not observed in this study.

Moving forward, the report aims to track how AI fluency evolves as tools improve and adoption increases. Future research will focus on comparing new and experienced users and examining unobservable behaviors.

I'm sorry, but I can't access external links. However, if you provide the text you would like summarized, I can help with that!

In July 2025, an experiment was conducted to crawl over a billion web pages in just over 24 hours, focusing on the challenges and costs involved in large-scale web crawling.

Key Points:

1. Objective: The goal was to crawl 1 billion web pages within 24 hours while keeping costs under $500, inspired by past web crawls.

2. Setup: The final setup consisted of 12 nodes, each using powerful machines (i7i.4xlarge with 16 vCPUs and high-speed storage) to handle fetching and parsing tasks.

3. Design Choices:

   • A cluster of independent nodes was used instead of a single machine to distribute the workload.
   • Each node managed its own data and processes (fetching, parsing, and storing).
   • The crawler adhered to web etiquette, respecting robots.txt and implementing delays to avoid overwhelming individual domains.

4. Bottlenecks:

   • Parsing was identified as a significant bottleneck, with newer web pages being larger and more complex to process.
   • Switching from an older parsing library (lxml) to a newer one (selectolax) improved parsing speed significantly.
   • Fetching was easier due to improved network speeds but became CPU-bound due to the SSL handshakes required by many sites.

5. Challenges: During the crawl, issues like memory overload from managing large lists of URLs were encountered, leading to some nodes crashing. These were managed through fault tolerance measures.

6. Findings:

   • The crawl managed to process about 950 pages per second, showing that many websites can still be crawled without executing JavaScript.
   • Further exploration is needed on how to handle dynamic content and the implications of large-scale crawling.

7. Future Work: The results raise questions about the state of the web, the effectiveness of current crawling techniques, and the need for refined methods to deal with dynamic and JavaScript-heavy websites.

Overall, the experiment highlighted both the advancements in web crawling technology and the ongoing challenges posed by the evolving web landscape.

Summary of 0 A.D. Release 28: Boiorix

Wildfire Games has released version 28 of the free, open-source real-time strategy game 0 A.D., named "Boiorix" after a king of the Cimbri tribe. This is the first version without the Alpha label, indicating improved development and quality.

Key Features:

• Easy Download: Available for Windows, Linux, and macOS with no cost or hidden fees.
• New Faction: The "Germans," representing the Cimbri and other Germanic tribes, with unique military units and flexible economic structures.
• Gendered Civilians: Civilian units now include both male and female models for better historical accuracy.
• Direct Font Rendering: Improved text display and support for various languages.
• New Game Options: Personalization features for gameplay setup.
• Lobby Improvements: Enhanced multiplayer lobby security and usability.
• Engine Upgrades: Upgraded technology for better performance and support for newer platforms.

Balancing Changes: Adjustments have been made to various units and civilizations for improved gameplay.

The team is seeking contributors for video editing, social media, and more. They encourage donations to support server costs and invite players to report issues or get involved in development.

For more details, refer to the changelog on their wiki.

The text discusses how to emulate the GOTO control flow statement in Scheme using a feature called call/cc, or call-with-current-continuation.

Key Points:

1. GOTO Statement: The GOTO statement allows jumping to different parts of code, which can lead to messy programming. It is commonly used in languages like BASIC and C for control flow.

2. Call/cc: This Scheme feature captures the current state of a program (continuation) and allows for jumping back to it later. It takes a procedure as an argument and returns the result of applying this procedure with the current continuation.

3. Example of Call/cc: The text provides examples demonstrating how continuations can behave like functions but with the ability to change the flow of execution.

4. Implementing GOTO in Scheme: The author introduces a macro called with-goto that allows programmers to define labeled blocks of code to jump to, effectively mimicking GOTO using call/cc.

5. Macro Explanation: The with-goto macro defines a goto procedure and uses call/cc to enable jumps to labeled sections of code, allowing for non-linear execution.

6. Example Usage: Several examples are provided, including a simple infinite loop and a more complex example that doubles a number while displaying it, showing how the goto functionality can be used.

7. Conclusion: While using GOTO in this way can lead to complex and potentially confusing code, it serves as a learning tool to understand continuations in Scheme. The author suggests that while call/cc is powerful, there are better alternatives for managing control flow.

The text ultimately serves as both a tutorial on continuations and a critique of using GOTO-style programming in modern languages.

Summary of "The Lighthouse: How extreme isolation transforms the body and mind"

The article discusses the psychological effects of extreme isolation, as portrayed in the film "The Lighthouse," directed by Robert Eggers. Set in the late 19th century, the story follows two men, lighthouse keeper Thomas Wake (Willem Dafoe) and his assistant Ephraim Winslow (Robert Pattinson), who are stranded on a remote island.

As they spend time alone, Winslow experiences strange visions and hallucinations, which are common in isolation, especially when combined with sensory deprivation. Psychologist Sarita Robinson explains that humans need social interaction, and isolation can harm mental and physical health.

Tensions rise between the two men as Winslow becomes increasingly obsessed with the lighthouse and their situation deteriorates. They bond through shared stress and alcohol, leading to moments of connection amidst their descent into madness. The film’s striking visuals and sound design enhance the sense of mental anguish experienced by the characters.

I'm unable to access external links directly. However, if you provide me with the text or main points from the document, I would be happy to help you summarize it!

Summary: What I Learned After Building 3 TV Apps Coming From Mobile

Dinko Marinac shares his experiences building Android TV apps, highlighting key differences between mobile and TV app development. Here are the main points:

1. Initial Misconceptions: The assumption that mobile app development could be easily adapted for TV was incorrect. The unique interaction methods and hardware limitations of TVs require a different approach.

2. Navigation Clarity: Successful TV apps prioritize clear navigation. Unlike mobile, where touch allows for quick actions, TV users navigate with a remote, requiring intentional movements and clear focus.

3. Design for Distance: TV screens are viewed from a distance, necessitating larger fonts and simpler layouts. What looks good on mobile can be unreadable on TV.

4. Focus Management: In TV apps, maintaining focus is critical. Bugs related to focus can confuse users, making navigation feel random.

5. Hardware Limitations: TVs are generally less powerful than smartphones, affecting performance. Developers need to account for slower startup times and rendering issues.

6. Architectural Performance Issues: Performance problems often stem from structural issues rather than isolated code inefficiencies. Optimizing for TV hardware is essential.

7. Development Challenges: Building TV apps can be harder due to less predictable interactions and the need for testing on real devices. Emulators can mislead developers about app performance.

8. Choosing to Build a TV App: TV apps excel in content consumption, simple navigation, and shared experiences. They struggle with complex workflows or heavy text input.

9. Understanding Differences: Recognizing that mobile and TV are fundamentally different platforms is crucial. Treating TV as a separate medium leads to better user experiences.

10. Conclusion: Building successful TV apps requires an understanding of the unique aspects of the platform, ensuring that design and development decisions align with how TV is used.

In essence, respecting the distinct nature of TV apps can lead to more enjoyable and effective user experiences.

No summary available.