This paper published in Management Science has been cited over 6,000 times by influential figures but is fundamentally flawed, and efforts to correct it have faced significant obstacles.

Andy King, who tried to replicate the findings of the paper "The Impact of Corporate Sustainability on Organizational Processes and Performance," discovered serious issues, including incorrect methods and misrepresented results. Despite reaching out to the authors multiple times for clarification, he received no response. Attempts to involve the academic community and the journal were also unsuccessful, as criticisms were dismissed or ignored.

When King ultimately reached out on LinkedIn, it prompted the journal to publish a correction regarding a key misreported finding, but other significant errors remained unaddressed. He later filed complaints with the authors' institutions, which acknowledged some issues but downplayed their severity.

King argues that the systems for ensuring trustworthy science are broken and need reform. He calls for researchers to prioritize corrections of errors, support replication efforts, and advocate for better research integrity policies at their institutions.

Key points for improvement include:

1. Avoid citing studies as definitive without checking if they have been replicated.
2. Publish corrections when errors are found.
3. Encourage a culture of honesty in research, where mistakes can be acknowledged and corrected.

Overall, the scholarly community must work towards greater transparency and accountability to prevent misinformation from spreading.

Posturr Overview

Posturr is a macOS app designed to help you maintain good posture while working on your Mac. It uses your computer’s camera to monitor your posture in real-time. If you start slouching, the app gradually blurs your screen as a reminder to sit up straight. When you correct your posture, the blur disappears immediately.

Key Features:

• Real-time posture detection: Monitors your body position using Apple’s Vision framework.
• Progressive screen blur: Increases blur intensity with worse posture.
• Multi-display support: Works on all connected monitors.
• Privacy-focused: Processes data locally on your Mac, with no tracking.
• Lightweight: Runs in the background using minimal resources.
• No account needed: No signup or cloud required.

Installation Steps:

1. Download the Posturr app ZIP file from the Releases page.
2. Unzip and move the app to your Applications folder.
3. The first time you launch it, you must bypass macOS Gatekeeper by right-clicking the app and selecting "Open." Grant camera access when prompted.

Usage Instructions:

• After starting, Posturr runs in the background and shows a notification when active.
• It monitors your posture and blurs the screen when slouching, clearing it when you sit up straight.
• Press Escape to quit the app.

Tips for Best Performance:

• Position your camera at eye level.
• Ensure good lighting on your face.
• Keep a consistent distance from your screen.

How It Works: Posturr detects body posture by tracking key points like the nose and shoulders. It applies screen blur based on how far your posture deviates from a straight position.

Requirements:

• macOS 13.0 or later
• A working camera
• About 10MB of disk space

Privacy Assurance: Posturr does not send any data outside your Mac; all processing is done locally.

License and Contributions: The app is open-source under the MIT License, and contributions are welcome.

No summary available.

No summary available.

Bonsplit is a library for macOS that helps developers create custom tab bars and layouts. It features smooth animations, drag-and-drop tab reordering, support for SwiftUI, and keyboard navigation.

Key Features:

• Tab Management:

  • Create tabs with icons and indicators for unsaved changes.
  • Update tab properties like name and icon at any time.

• Pane Splitting:

  • Split panes either horizontally or vertically, with new panes starting empty.

• Navigation:

  • Navigate between panes programmatically using directional commands.

• Configuration Options:

  • Customize behavior and appearance, such as enabling/disabling tab closing or splitting.

• Delegate Protocol:

  • Implement callbacks for tab and pane events.

Usage Example: Developers can easily set up the BonsplitController with a configuration that specifies how they want tabs and panes to behave, such as allowing splits and closing tabs.

Overall, Bonsplit simplifies the creation of tabbed interfaces in macOS apps while providing flexibility and smooth user experiences.

DPaint.js Summary

DPaint.js is a web-based image editor inspired by the classic Deluxe Paint software, specifically designed for retro Amiga file formats. It can handle both modern image formats and Amiga-specific files, like icon files and IFF ILBM images.

Key Features:

• Comprehensive image editing tools, including layers, selections, masking, transformation tools, effects, and filters.
• Supports multiple undo/redo actions and allows copying/pasting from other image programs.
• Offers customizable dithering tools and color cycling options.
• Specifically designed for Amiga file formats: it can read and write various Amiga icon and IFF ILBM image formats, and can access Amiga Disk Files.
• Includes an Amiga emulator for previewing artwork in the original Deluxe Paint style.

Accessibility:

• DPaint.js runs in any web browser without installation, is free to use, and does not collect user data or require accounts.
• It can be used offline if served from a local web server.

Development:

• The application is built using plain JavaScript with no external dependencies.
• Users can create a compact version using Parcel.js if desired.
• It is currently in alpha, and the developers welcome contributions, bug reports, and suggestions for new features.

Planned Features:

• Future updates will include animation support, shading tools, and possibly non-square pixel modes and PSD import/export.

Browser Compatibility:

• Users may experience issues with the Brave browser due to its privacy settings affecting image rendering.

Conclusion: DPaint.js is a nostalgic yet modern tool for digital art enthusiasts, particularly those interested in retro styles and Amiga graphics.

Google has announced that Android will soon implement a “high-friction” process for sideloading apps, which is meant to raise user awareness about the risks involved. The company emphasizes that this change is not intended to block installations but to educate users.

Matthew Forsyth, a Google executive, described this new system as an “Accountability Layer.” While advanced users can still opt to install apps without verification, they will face additional steps to ensure they understand the risks of using unverified developers.

This update follows recent changes in Google Play that have introduced more warning messages about app verification and potential dangers. However, it remains uncertain how much this new process will complicate sideloading. Google's goal is to maintain the openness of Android, allowing users to install apps freely, but concerns exist about whether this will lead to more difficulties in the future.

Summary of PostgreSQL Indexes

Introduction: This text is intended for developers who have a basic understanding of database indexes but want to learn more about how they work in PostgreSQL, their tradeoffs, and the different types available.

What Are Indexes?: Indexes are special database structures that speed up data access by reducing the amount of data the database needs to read from disk. They can also enforce data constraints like primary keys. However, they are most effective when queries return a small portion (15-20%) of the table; otherwise, a sequential scan may be preferred.

How Data is Stored: PostgreSQL stores table data in files called heaps, divided into 8KB pages. Each row (tuple) is identified by a tuple ID (TID). Indexes link key values to these row locators in the heap.

Speeding Up Data Access: Indexes improve query performance significantly. For example, a query searching for "Ronaldo" took 265 ms without an index, but only 0.07 ms with an index, demonstrating how indexes can drastically reduce execution time.

Costs of Indexes:

1. Disk Space: Indexes require additional storage, which can increase database size and backup time.
2. Write Operations: Updates to indexed fields require maintenance of the index, slowing down write operations.
3. Query Planner: More indexes give the planner more options, potentially increasing planning time.
4. Memory Usage: Indexes use memory for caching and other operations, which can affect performance if not managed well.

Types of Indexes:

1. B-tree: The default and most common index type, efficient for a wide range of queries.
2. Hash: Uses a hash function for smaller size but is limited to equality comparisons.
3. BRIN: Suitable for large tables where data is stored sequentially, but less effective for frequently updated rows.
4. GIN: Good for searching composite data types like text or JSON.
5. GiST & SP-GiST: Frameworks for building specialized indexes for various data types.
6. Partial Indexes: Index a subset of rows based on a condition, reducing size and improving performance for specific queries.
7. Covering Indexes: Allow queries to be satisfied entirely from the index without accessing the table.

Conclusion: Understanding and using indexes effectively is crucial for optimizing database performance in PostgreSQL. While they can significantly speed up queries, it's important to balance their benefits with the costs associated with storage and write operations. By choosing the right type of index for your specific needs, you can enhance the efficiency of your PostgreSQL database.

The author created a simple text-based program for managing default applications on Linux desktops. They hope others find it useful and are open to answering questions.

Summary:

BirdyChat has become the first chat app in Europe to allow messaging with WhatsApp users, thanks to the Digital Markets Act. This new feature enables BirdyChat users to chat with anyone on WhatsApp simply by knowing their phone number, making it easier to have work conversations without needing others to download BirdyChat.

Key points include:

• Users can send messages, photos, and files securely.
• Work emails can be used for identity, keeping personal and work communications separate.
• Currently, only one-on-one chats are supported, with group chat options coming soon.
• The feature will be gradually available to users across the European Economic Area (EEA).

BirdyChat is currently invite-only, and interested users can join a waitlist to gain early access.

A user named Rymo posted on December 4, 2012, about a device that resembles a tablet or PDA on Nedry's desk. Rymo suspects it might be a Motorola Envoy PDA, but notes that this model was not released until 1994, raising questions about its identity. They wonder if it could be a prototype or an early overseas version of the Envoy. The device in question is a small black one visible behind Nedry's right elbow. Rymo also included an image of the official Motorola Envoy model.

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Three years ago, Plexim aimed to integrate SPICE simulation into PLECS, and now with PLECS 5.0, PLECS Spice is available. This new feature allows engineers to perform both system-level and device-level simulations in one tool, eliminating the need to use separate software and duplicate models.

Power electronics design has traditionally involved a trade-off between speed and detail. System-level tools like PLECS are fast but lack detailed component validation, while SPICE simulators provide detailed device-level analysis at the cost of speed and integration. This often forced engineers to switch between different platforms, which could be time-consuming and error-prone.

PLECS Spice solves this issue by allowing hybrid simulations that integrate standard PLECS and SPICE circuits. Engineers can refine specific parts of their design by replacing ideal components with detailed SPICE models without changing the overall circuit structure. Key features of PLECS Spice include:

1. Netlist Parser: It supports various SPICE netlist formats, allowing easy integration of models from different manufacturers.
2. Compact Models: These models accurately represent semiconductor behavior while being computationally efficient.
3. Modified Nodal Analysis (MNA): This approach handles the nonlinear aspects of semiconductor models effectively.
4. Mixed-Formulation Solver: It allows for simulation of circuits with both SPICE and standard PLECS components in one schematic.

An example of PLECS Spice's utility is in the analysis of a Dual Active Bridge (DAB) converter, which requires careful consideration of both control strategies and device physics. The tool helps engineers optimize soft switching techniques to minimize losses, making it easier to validate designs that traditional models cannot accurately simulate.

In conclusion, PLECS Spice enhances the power electronics design process by merging system-level and device-level simulations into a single workflow, allowing for more efficient and accurate designs. This integration is essential as power electronic systems become increasingly complex, helping to speed up innovation and reduce time-to-market.

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Summary:

Modestas Valauskas created a lexer in ARM64 assembly that processes Dart code twice as fast as the official Dart scanner. However, while benchmarking with 104,000 files, he found that the actual bottleneck was not the lexer but the input/output (I/O) operations.

1. Setup and Findings:

   • The lexer was faster (2.17x) than the official Dart scanner, but total speedup was only 1.22x due to slow I/O.
   • I/O time was significantly higher than lexing time because of the high number of system calls (over 300,000) needed to read each file.

2. Optimization Experiment:

   • To reduce I/O, he packaged the Dart files into 1,351 tar.gz archives.
   • This reduced the number of system calls and improved I/O speed by 42.85x, resulting in overall processing time being more than twice as fast despite some decompression overhead.

3. Broader Insights:

   • The experiment illustrated why package managers like pub.dev use tar.gz files: they reduce system calls, save bandwidth, and speed up extraction.
   • The findings apply to other areas, such as build systems and log processing, where many small files can slow down performance.

4. Future Improvements:

   • Suggestions include using faster decompression methods and exploring SQLite for storing files to avoid syscall overhead altogether.

In conclusion, the experiment highlighted the impact of system call overhead on performance and provided insights into file storage and access methods for software development.

The author has been a long-time Mac user, reminiscing about their early experiences with older software like ClarisWorks and the simplicity of that time, although they acknowledge that modern tools are generally better. They express particular disappointment over Apple's discontinuation of Aperture in 2015, a photo management and editing app that many still miss.

Recent events, such as the release of macOS Tahoe and discussions about a new Creator Studio subscription, prompted the author to revisit Aperture and reflect on its unique features. Unlike modern apps that require users to switch between different modes for editing, Aperture's design allows users to edit images directly where they are, using heads-up displays (HUDs) that streamline the workflow.

The author highlights how Aperture’s innovative tools, like the loupe for zooming in on images, made tasks easier and more efficient, contrasting it with the clunky processes of current software like Adobe Lightroom. They argue that while technology has advanced, the user experience in some modern applications has stagnated, lacking the intuitive design that made Aperture so effective.

Ultimately, the author feels that Aperture's technical brilliance is understated and lamented its loss, noting that its straightforward functionality allowed users to focus on their work without distractions. They share a personal anecdote about applying to work on Aperture at Apple but ultimately not being hired before the app was discontinued.

A recent study by Lloyd’s Register highlights a serious issue in maritime safety: excessive shipboard alarms are overwhelming crews, with some vessels facing tens of thousands of alerts daily. This "alarm overload" is causing alarm fatigue, disrupting rest periods, and leading to unsafe practices as crews silence alarms without proper acknowledgment.

The research analyzed over 40 million alarm events from 11 vessels over 2,000 days. It found that many alarms provide little operational value, with some vessels generating up to 2,600 alarms a day. Less than half of the ships met the recommended standard of fewer than 30 alarms per hour, and alarms significantly disrupted rest on ships with unattended machinery.

To address this, the report suggests improving alarm management by focusing on the most frequent alarms, which could reduce the total alarm load by nearly 40%. It calls for better performance assessments, consideration of human factors in alarm system design, and regulatory frameworks for consistent standards.

Duncan Duffy from Lloyd’s Register stressed that poorly managed alarm systems pose a safety risk. He emphasized the need for the maritime industry to commit to better management of alarm systems to support crew safety and ensure safer maritime operations.

Battery research is heavily focused on lithium because lithium-ion batteries are generally better than other types. They are increasingly used in markets previously dominated by lead-acid batteries, like backup power and satellites. While lithium-ion technology is still evolving, it has improved in longevity, safety, and capacity. However, more advancements are needed for electric vehicle (EV) applications.

Battery lifespan can be influenced by factors such as charging speed, depth of discharge, and temperature. Lithium-ion batteries typically last between 300 to 500 charge cycles, depending on the device. For example, wearable batteries last about 300 cycles, while modern smartphones require around 800 cycles. EV batteries are making strides, with some aiming for up to 5,000 cycles.

Battery performance is primarily measured by capacity, although internal resistance and self-discharge also matter. Some manufacturers suggest replacing batteries based on a set date, but this does not consider actual usage. Overall, lithium-ion batteries generally last longer than expected if used properly.

A study by researchers at the Keck School of Medicine of USC has found that increasing the number of zero-emissions vehicles (ZEVs) in California neighborhoods leads to real reductions in air pollution, specifically nitrogen dioxide (NO₂). From 2019 to 2023, neighborhoods that added more ZEVs saw NO₂ levels drop by 1.1% for every 200 new vehicles. This research, which used satellite data to measure air quality, highlights the immediate benefits of ZEVs not just for climate change but also for public health.

The study analyzed 1,692 neighborhoods and tracked ZEV registrations, which increased from 2% to 5% of all light-duty vehicles in California during the study period. The researchers confirmed that neighborhoods with more gas-powered cars experienced increased pollution, reinforcing the positive impact of ZEVs on air quality.

The findings support the continued adoption of electric vehicles, showing that cleaner air is already becoming a reality in California. The researchers plan to explore further health impacts by comparing ZEV adoption with asthma-related emergency room visits. This study was partially funded by the National Institutes of Health and published in The Lancet Planetary Health.

Epicenter.works, the Society for Civil Rights, the Federation of German Consumer Organizations, and Professor Barbara van Schewick from Stanford are filing a complaint with the Federal Network Agency against Deutsche Telekom. They claim that Telekom is unfairly creating obstacles for certain online services. Wealthy services that pay Telekom have fast access, while others that can't afford to pay are slowed down or blocked. This practice undermines net neutrality, as it allows Telekom to control which services work well for users. They are seeking to stop this unfair behavior.

No summary available.

Summary of Old Vintage Computing Research: Apple Network Server Prototype ROMs

On January 25, 2026, an article explores the Apple Network Server (ANS), a notable yet unsuccessful product from Apple in the 1990s. The ANS, which resembled a large refrigerator and was aimed at running IBM's AIX operating system, was priced over $10,000 and sold poorly, leading to its discontinuation in 1997.

The author reflects on their personal experience with the ANS, having acquired one in 1998, and discusses their excitement about discovering prototype ROMs that could potentially allow the ANS to run Mac OS and Windows NT. They specifically introduce their second ANS machine, the Network Server 700, which they constructed from two damaged units.

The article details the process of refurbishing the 700 to test the new ROMs, which include a pre-production Mac OS ROM. While the Windows NT ROM had limitations, the Mac OS ROM successfully booted, albeit with some issues. The author describes the physical challenges of handling the heavy machine and explains the internal components, including the unique SCSI controllers and logic board.

Ultimately, the piece serves as an exploration of vintage computing and the author's efforts to preserve and understand the legacy of the Apple Network Server.

AutoShorts Summary

AutoShorts is a tool that uses AI to create engaging short video clips from long gameplay footage. It automatically identifies exciting moments, such as action scenes or funny fails, and crops, renders, and adds subtitles or voiceovers to make the clips ready for sharing.

Key Features:

1. AI Scene Analysis:

   • Uses OpenAI or Google Gemini to detect important moments.
   • Modes available: action, funny, highlight, or mixed.

2. Subtitle Generation:

   • Can transcribe voice commentary or create AI-generated captions.
   • Offers various caption styles and visual templates.

3. AI Voiceover:

   • Supports multiple languages and customizable voice styles.
   • No cloud connection needed for voice synthesis.

4. GPU-Accelerated Processing:

   • Fast video and audio analysis using a GPU for efficiency.

5. Robust Fallback System:

   • Continues to function even if some components fail.

Requirements:

• NVIDIA GPU with CUDA support.
• Specific software versions, including Python and FFmpeg.

Installation:

• Can be installed using a Makefile for automatic setup or via Docker for GPU access.

Usage:

• Place videos in a designated folder and run a script to generate clips, which are saved in an output folder.

Development and Troubleshooting:

• Includes tools for testing and debugging, with solutions for common issues.

Overall, AutoShorts simplifies the process of creating short, shareable gaming clips using advanced AI technology.

Large Language Model (LLM) inference is challenging due to its unique autoregressive Decode phase, which differs from training. The main issues are related to memory and communication, not processing power. To tackle these problems, we suggest four research opportunities:

1. High Bandwidth Flash storage to increase memory capacity significantly.
2. Processing-Near-Memory and 3D memory-logic stacking to improve memory speed.
3. Low-latency interconnects to enhance communication speed.

While our main focus is on AI in data centers, we also consider how these solutions could apply to mobile devices.

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Summary of Clarity-1 Mission Overview

On March 14, 2025, Albedo launched its first satellite, Clarity-1, aboard SpaceX Transporter-13. The mission aimed to demonstrate sustainable operations in Very Low Earth Orbit (VLEO) and capture high-resolution images. Key achievements include:

1. Successful Operations in VLEO: Clarity-1 proved that satellites can operate effectively in VLEO, overcoming challenges like atmospheric drag and atomic oxygen. The satellite's design exceeded performance expectations, achieving a drag coefficient 12% better than targeted.

2. Technological Validation: The mission validated 98% of the technology required for capturing 10 cm resolution imagery, including a high-performance in-house developed bus and innovative solar arrays that resisted degradation.

3. Flight-Proven Systems: Clarity-1’s systems, including attitude control and ground software, performed reliably, allowing for automated operations and timely data downlinking.

4. Imaging Achievements: After initial challenges, the satellite successfully captured and downlinked images, demonstrating impressive sensor performance and image processing capabilities.

5. Challenges with CMGs: Despite early success, the mission faced issues with Control Moment Gyroscopes (CMGs), which impacted maneuvering and control. Lessons learned will inform future designs.

6. Current Status: After nine months, contact with Clarity-1 was lost, likely due to onboard memory issues. However, the data collected provides valuable insights for future missions.

7. Future Directions: Albedo plans to incorporate lessons learned into the next VLEO mission, focusing on improved imaging capabilities and expanding operational features.

Overall, Clarity-1 has validated the feasibility of VLEO operations and set the stage for future advancements in satellite technology and imaging.

The text includes two links: one to a Twitter status and another to a GitHub page. The Twitter link appears to be related to a user named "NicerInPerson," while the GitHub link belongs to a user named "mikekelly" and is titled "claude-sneakpeek." There are no specific details or context provided about the content of these links.

No summary available.

The article discusses new advancements in stretchable electronics, specifically focusing on high-performance thin-film transistors made from two-dimensional molybdenum disulfide (MoS2). These transistors can maintain strong performance even when stretched by up to 20%. They show a maximum mobility of 12.5 cm²/V·s and an impressive on/off current ratio above 107.

The key to their performance lies in the way the MoS2 flakes are bonded with weak van der Waals forces, which allows them to move and relax stress when stretched. This design ensures that electrical connections remain intact, enabling effective charge transport.

These findings are significant as they provide a pathway for incorporating high-performance n-type materials into flexible electronics, which is essential for developing advanced, deformable electronic systems.

No summary available.

The author faced challenges with LangGraph, particularly in maintaining a graph with multiple nodes and agents. To address this, they created a reference architecture that includes:

• Separation of platform layers
• Validation of contracts during state changes
• 110 tests to enforce architecture boundaries
• Patterns designed to prevent errors by AI coding agents

You can find the repository here and read more about the patterns here. The project is MIT licensed, and the author welcomes feedback, especially from those who have experience scaling LangGraph beyond basic tutorials.

AcceptLanguage Library Summary

AcceptLanguage is a simple, safe Ruby library designed to parse the Accept-Language HTTP header. It follows several standards, including RFC 7231 and BCP 47, ensuring proper handling of language preferences.

Key Features:

• Installation: Add gem "accept_language" to your project.
• Usage: Use AcceptLanguage.parse("your-header") to analyze language preferences. For example, parsing "da, en-GB;q=0.8, en;q=0.7" will match Danish (:da) over British English (:"en-GB").

Matching Behavior:

• Quality Values (q-values): These indicate preference levels (0 to 1). Higher values are preferred. Missing q-values default to 1.
• Declaration Order: If multiple languages have the same q-value, the first one in the header is preferred.
• Basic Filtering: Matches language tags using prefixes and case-insensitive comparisons.
• Wildcards: The wildcard (*) can match any language not explicitly matched by others.
• Exclusions: A q-value of 0 marks a language as unacceptable.

Case Insensitivity: The library matches language tags without regard to case, preserving the original case in results.

Support for BCP 47: The library fully supports various language tag forms, including script and region subtags.

Integration Examples: The library can be integrated into Rack and Ruby on Rails applications to detect user language preferences from HTTP headers.

Compliance: The library adheres to multiple relevant specifications and follows Semantic Versioning 2.0. It is open-source under the MIT License.

On Pencil Day, we shared a collection of photos showcasing typography on various new and vintage pencils. You can view our current pencil stock. If you use our images, please give us credit. Thank you!

No summary available.

Summary:

The Eclypsium Research Team used an industrial X-Ray machine to investigate a suspicious FTDI USB to UART cable that was malfunctioning. They compared it with a legitimate FTDI cable purchased from DigiKey. The older cable may have either come from a factory producing substandard FTDI chips or could be a counterfeit claiming to be FTDI.

The X-Ray images revealed distinct differences between the two cables, with the authentic one showing features like ground pours, proper passive components, and better design quality. Identifying counterfeits can be challenging, which raises concerns for enterprises that might unknowingly purchase compromised equipment.

Supply chain risks are increasing, especially as demand for tech components rises. Cyber adversaries can exploit weaknesses in the supply chain, potentially introducing vulnerable or backdoored components into critical systems. The blog encourages readers to learn more about the importance of hardware supply chain security.

The goal of this project is to create realistic and immersive environments in a game by generating a variety of objects like rocks, trees, and grass on planet surfaces. The process involves three main stages: object generation, evaluation, and rendering.

1. Object Generation:

   • Objects are grouped into 'ecotypes', which classify similar items like types of grass or rocks.
   • Objects need to be generated quickly, especially since spacecraft might travel at high speeds. The system uses compute shaders to leverage the GPU's power for rapid placement and characteristics of these objects.

2. Evaluation:

   • Once objects are placed, they must be prepared for rendering. This involves transforming their data to align with the camera's view.
   • Compute shaders are again used to manage these transformations efficiently, including tasks like determining which objects are visible and selecting the appropriate level of detail (LOD).

3. Rendering:

   • The game employs a "GPU Driven Renderer," which minimizes the communication needed between the CPU and GPU, allowing for faster rendering of numerous objects.
   • The system uses GPU instancing to draw many objects simultaneously, significantly speeding up the process.

Next steps include improving the flexibility of object placement, introducing parameters for different biomes, supporting multiple materials, and eventually addressing collision detection.

Many transactional emails are being flagged as suspicious, even though their SPF/DKIM records are correct and they were previously whitelisted. It raises concerns that there might be an issue with Gmail's spam filtering.

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Summary of Memory Layout in Zig with Formulas

The article discusses the memory layout of data types in the Zig programming language, emphasizing the importance of understanding how types are aligned and sized in memory. Here are the key points:

1. Memory Alignment and Size:

   • Each data type in memory has a specific alignment (spacing for valid addresses) and size (number of bytes required).
   • Proper alignment is crucial for performance, as misaligned data can slow down CPU operations.

2. Key Functions:

   • Zig provides two built-in functions: @alignOf(T) and @sizeOf(T) to determine the alignment and size of types.

3. Primitive Types:

   • The alignment and size for primitive types generally match, with sizes being powers of two. For example, @sizeOf(u8) = @alignOf(u8) = 1 byte.

4. Structs:

   • Structs in Zig combine multiple fields, with their alignment determined by the field with the strictest alignment requirements. The size is calculated by packing fields while respecting their alignments.

5. Arrays and Slices:

   • Arrays inherit the alignment of their element type, while their size is the product of the number of elements and the size of the type. Slices are structured like a struct with a pointer and a length.

6. Unions:

   • Unions store the largest type among their fields. The size and alignment depend on the largest field's requirements.

7. Tagged and Untagged Unions:

   • Tagged unions include an enum to indicate the active field. Their alignment and size depend on both the union and the tag.

8. Dynamic Arrays:

   • ArrayList and MultiArrayList are Zig's dynamic array implementations. ArrayList stores elements contiguously, while MultiArrayList separates fields into distinct arrays.

9. Formulas:

   • Several formulas are provided to compute alignment and size based on the types' characteristics, primarily focusing on powers of two and multiples for proper memory layout.

The article encourages efficient memory design by minimizing the size and alignment requirements of data types, ultimately improving performance in low-level programming contexts.

No summary available.

A new AI-generated character named Amelia, a purple-haired British schoolgirl, has become popular on social media, particularly among far-right groups. Originally created for a UK government-funded game aimed at deterring young people from extremism, Amelia has been transformed into a meme that promotes racist and extremist views.

Videos of Amelia depict her expressing anti-immigrant sentiments and engaging in controversial scenarios, which have gone viral on platforms like X (formerly Twitter). The meme's popularity surged from 500 posts a day to around 11,100 in just a short time, showing its widespread appeal.

The character's creators are surprised by this turn of events, noting that the initiative was meant to be educational and used in classrooms. Critics suggest that the portrayal of Amelia as a "cute goth girl" has ironically made her a figure of admiration in far-right circles. Additionally, a cryptocurrency linked to Amelia has emerged, leading to concerns about the monetization of hate.

Experts highlight the meme's rapid international spread and its appeal to young men, emphasizing the need for continued efforts against online extremism. The UK Home Office mentioned that their programs have successfully diverted thousands from violent ideologies, although the backlash against the creators has been significant.

No summary available.

The text discusses Rust closures, aiming to deepen understanding of their functionality. Key points include:

1. Basics of Closures: Closures in Rust are similar to functions but use a shorter syntax. They can infer types, unlike regular functions that require explicit types.

2. Capturing Variables: The primary distinction between closures and functions is that closures can capture variables from their surrounding environment, enabling them to use those variables directly in their execution.

3. Different Capture Types:

   • Shared Reference: Closures can capture variables by shared reference, allowing them to read the variable without needing ownership.
   • Mutable Reference: Closures can capture mutable references, enabling them to modify the captured variable.
   • By Value: Closures can also capture variables by value, meaning they take ownership, and the original variable becomes inaccessible afterward.

4. Traits of Closures:

   • FnOnce: Used when a closure can be called once and takes ownership of captured variables.
   • FnMut: Used for closures that can be called multiple times and may modify captured variables.
   • Fn: Used for closures that can be called multiple times without needing mutable access.

5. Using move Keyword: The move keyword can be added to a closure declaration to ensure it takes ownership of captured variables, which is particularly useful in concurrent programming or when passing closures to functions that require ownership.

6. Examples and Applications: The text provides examples demonstrating how closures can be implemented and their behavior when capturing variables, along with practical applications like spawning threads and returning closures from functions.

The author plans to continue exploring more complex topics related to closures in future articles. For further reading, several resources on Rust closures are recommended.

Summary: Small Kafka: Tansu + SQLite on a free t3.micro (AWS Free Tier)

AWS offers a free tier with a t3.micro instance, which is suitable for starting small projects. It has 1GiB of memory and can provide decent performance for early-stage applications. The Tansu broker can run on this instance using SQLite for data storage, which simplifies backup and restore processes.

To set up the Tansu broker on the t3.micro instance, you need to:

1. Install Amazon Linux 2023.
2. Add necessary packages like Docker Compose.
3. Configure Docker to run as the ec2-user.
4. Create a compose.yaml file to define the Tansu service, specifying storage settings and network configurations.

You can start Tansu with Docker commands and monitor its performance. A test topic can be created using the Tansu CLI, and performance tests can be conducted to evaluate throughput and latency.

The goal is to run a low-cost Kafka-compatible broker, accumulate CPU credits when idle, and scale up as needed by transferring the database file. The article highlights how Tansu is lightweight and efficient, suitable for low-cost deployments, and mentions that it can run on other cloud providers as well.

For more information or to try Tansu, visit their GitHub page.

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Summary: 150,000 Lines of Vibe Coded Elixir: The Good, The Bad, and The Ugly

The Good:

1. Elixir's Simplicity: Elixir has a small language with few concepts, making it easier for AI to generate code correctly without confusion.
2. Efficiency: Elixir's terse syntax allows for longer coding sessions and fewer interruptions, facilitating better focus and productivity.
3. Tidewave Tool: This tool enhances AI's understanding of Elixir apps by allowing it to read logs and query databases, leading to fewer errors.
4. Immutability: Elixir’s immutable data reduces complexity, resulting in less code and fewer decisions for the AI.
5. Frontend Development: AI can quickly and effectively implement design changes, improving quality and speed.
6. Git Worktrees: Using multiple git worktrees allows for parallel development on different features without losing context.

The Bad:

1. AI's Lack of Organization: AI struggles with code structure and often creates messy, inconsistent code. Human oversight is needed.
2. Defensive Coding: AI tends to write defensive code due to its training on imperative languages, which doesn’t align well with Elixir's functional style.
3. Git Context Issues: Git operations can consume valuable context space, making it hard to maintain focus on coding tasks.

The Ugly:

1. Debugging Challenges: AI struggles with debugging complex features like OTP and async processes, often leading it to misunderstand the system.
2. Testing Confusion: AI doesn’t grasp how Elixir’s testing environment works, leading to incorrect assumptions about data in tests.

Bottom Line: Using AI to write code in Elixir has greatly improved productivity despite some challenges. Maintaining a clear and consistent architecture is crucial to avoid disorganized code. The goal is to further automate the software development process to streamline workflows.

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The text describes a program consisting of seven modules designed to teach C programming for safety-critical systems. The modules follow a sequence: MATH → STRUCT → CODE → TEST, each addressing a specific question related to system safety, such as whether a signal exists or how to handle data overflow.

Key features of the modules include:

• No dependencies (closed)
• Comprehensive input handling (total)
• Predictable outcomes (deterministic)
• Constant time performance (O(1))

The author created this program after 30 years in UNIX systems to help learners understand the rigor needed for certified systems without extensive prior experience. The program is licensed under MIT, and the author welcomes feedback.

Summary:

NVIDIA has a public repository for open GPU kernel modules. A user reported a bug where the nvidia-smi command freezes indefinitely after approximately 66 days and 12 hours of system uptime when using driver version 570.133.20 on a B200 GPU with kernel version 6.6.0.

Key points include:

• The issue occurs specifically with the open kernel driver, and users are asked to confirm if it also happens with the proprietary driver.
• The operating system used is OpenEuler 2.0 (LTS-SP2) with a stable kernel.
• The user provided detailed system and driver information and logs indicating failures related to link detection.
• The issue is categorized as a bug and has been acknowledged for further investigation.

For more information, the bug report can be found on GitHub here.

Summary:

Sightline is a new search engine similar to Shodan, but it focuses on physical-world infrastructure instead of internet services. It uses OpenStreetMap data, allowing users to search for specific locations like telecom towers or power plants in various regions. Users can conduct searches with keywords or structured queries.

Key features of Sightline include:

• Uses Overpass API to query OpenStreetMap features.
• Employs Nominatim for location resolution.
• Avoids hardcoded geographic data.
• Uses a rule-based parsing method instead of AI.

You can check out the project on GitHub here and try it out here.

A Chinese billionaire, Xu Bo, is seeking parental rights for at least four unborn children through surrogacy and has fathered or is in the process of fathering at least eight more. He aims for around 20 U.S.-born children, specifically desiring sons to take over his business. Many of his children are currently under the care of nannies in the U.S. while waiting for travel paperwork. Xu, who calls himself "China's first father," is known for criticizing feminism and has claimed to have over 100 children born via U.S. surrogates.

Other wealthy individuals in China are also pursuing large families through surrogacy, inspired by figures like Elon Musk, who has 14 known children. One executive, Wang Huiwu, is reportedly hiring U.S. models as egg donors to have 10 daughters to marry into powerful families.

This trend of affluent Chinese clients seeking numerous U.S.-born children is seen as an effort to create influential family dynasties. Critics express concern that this practice could lead to issues such as children being raised without parental involvement and ethical dilemmas surrounding surrogacy.

Volvo is making strides in the electric vehicle (EV) market in the U.S. with the upcoming EX60 SUV. This new model aims for a 400-mile range and can gain up to 173 miles of charge in just 10 minutes using a 400-kW fast charger.

The EX60 features a new 800-volt electrical system and innovative battery design that helps with efficient energy use and quicker charging. It will be built on Volvo's new SPA3 EV platform, which integrates the battery into the car's structure and uses mega castings to reduce weight.

While details on the power output and battery size are still pending, the EX60 will have a 10-year warranty. It's set to compete with the upcoming BMW iX3 and Mercedes-Benz GLC, both of which are also electric SUVs.

The EX60 will debut on January 21 and will introduce a new type of seatbelt designed to adapt to various crash conditions and body types.

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The author added a comment section to their blog using Bluesky, allowing readers to see replies directly on the site. They faced challenges because their blog is statically generated, making traditional comment hosting difficult and costly. After learning about Bluesky from a blog post by Cory Zue, the author chose it over other options like Twitter or Disqus due to its open platform nature, which offers better security and conversation quality.

Instead of using Zue's existing package, the author created their own implementation to customize the design and allow for future features. They initially considered enabling direct posting on Bluesky from their site but decided against it due to the complexity. Instead, they focused on fetching and displaying replies to a specific Bluesky post using a straightforward approach.

The blog is built with React and TypeScript, utilizing the Bluesky API to gather post replies. They opted to use the Tanstack react-query library to manage API requests efficiently. The design allows for easy readability of threaded comments, with a simple interface linking back to the original Bluesky post for further engagement.

The author invites feedback through Bluesky, hoping this new feature will boost interaction on their blog.

The website is checking if your browser is secure. If you own the website, there's a link available for assistance.

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The author has been using GitLab for private projects for years, initially choosing it for its free private repositories when GitHub charged for them. Despite GitHub now offering free private repos, the author has built their workflow around GitLab, including CI pipelines and Docker images.

Key features of GitLab that the author appreciates include:

1. Container Registry: Every GitLab project includes a Container Registry, which allows for easy storage and management of Docker images without needing a separate Docker Hub account. The 10GB limit per project is rarely an issue for the author.

2. CI/CD: The GitLab CI system uses a simple configuration file (.gitlab-ci.yml) that tracks changes over time. The author finds it reliable and appreciates the option for manual deployment triggers. While GitLab's shared runners are not the fastest, they are free and dependable.

3. Documentation: Although extensive, the CI/CD documentation can be overwhelming. Once familiar with it, the author finds it easy to reuse configurations.

However, the author notes some downsides:

• Speed: The GitLab web interface can be slow, leading to frustration during use, although there have been recent improvements.
• Feature Overload: GitLab includes many features that the author rarely uses, leading to a cluttered interface. However, this abundance means additional tools are readily available if needed.

Overall, the author values GitLab for managing private projects and enjoys the blend of using both GitLab and GitHub for different purposes: GitLab for privacy and organization, and GitHub for public collaboration and visibility.

The author is frustrated with using virt-manager for managing desktop virtual machines due to its complicated interface and issues with NVIDIA 3D acceleration. They have developed a new tool called vm-curator, a simple and efficient terminal user interface (TUI) for managing virtual machines with QEMU, without the need for libvirt or XML. This tool supports 3D para-virtualization with NVIDIA graphics cards, making it easier to use GPU features. Note that while it works well for Linux VMs, it is not designed for Windows gaming. The author is looking for contributors and donations to further improve the project.

The founders of VibeFlow (YC S25) are introducing a tool that helps turn Figma designs into frontend code, specifically React and Tailwind components, which is useful for prototyping. You can try it out either by running it locally or using it directly on the VibeFlow website without any setup.

Summary:

Professor Kim Jung-ho from KAIST predicts that the high-bandwidth flash (HBF) market could surpass the high-bandwidth memory (HBM) market in about 12 years. He discussed this at a recent forum in Seoul, highlighting rapid advancements in HBF technology. Major companies like Samsung and SanDisk are planning to incorporate HBF into products for Nvidia, AMD, and Google by 2028.

HBF is expected to work alongside HBM as a fast data layer for GPUs, supported by slower but larger SSD storage. Nvidia's new storage platform may adapt to this approach, allowing for efficient data flow without going through traditional processors.

Professor Kim mentioned that an HBF unit could have a capacity of 512 GB and a bandwidth of 1.638 TBps, requiring innovative stacking techniques. HBF technology is being developed by companies like SK hynix and SanDisk, with prototypes expected soon. By 2038, the HBF market is anticipated to be larger than HBM.

The L10N::CY is a package for the Raku programming language that adds Welsh language support. It includes a command called "draig" that can be used to print "Hello World" in Welsh. To use this package, you need to set the RAKUDO_RAKUAST=1 environment variable and include "use L10N::CY" in your programs. The package was created by Richard Hainsworth and is free to use and modify under the Artistic License 2.0.

Summary of Crane Documentation

• Quick Start: Find guides and information about Crane.

• Getting Started: Learn how to install Crane, set up Rocq, and perform your first data extraction.

• Design Principles: Understand the goals and trade-offs involved in Crane's C++ extraction method.

• Examples: Access sample Rocq projects and see the extracted C++ code.

• Reference Manual: Get details on all Crane features, extraction rules, and options.

• Crane Base Library: Explore the Rocq library which includes types and monads for use in extracted code.

• Roadmap: Review the features that are planned and improvements that are on the way.

• Papers: Read the paper "Crane Lowers Rocq Safely into C++" by Matthew Z. Weaver and Joomy Korkut, presented at RocqPL 2026.

"StormWatch" is a simple, mobile-friendly website created to help people easily access important weather information during winter storms. Instead of visiting multiple sites, users can find everything in one place by entering their ZIP code.

Key features include:

• Real-time alerts from the National Weather Service (NWS) with safety tips
• Forecasts for snow, ice, and precipitation, including wind
• Customized preparation checklists based on alerts
• A supply calculator based on household size
• Regional weather news

The service is free, does not require a login, and works on any device. It uses NWS and GDELT APIs and is open source, allowing others to modify it if they wish.

For developers, tools were implemented to test and validate the website's features effectively.

You can check it out at: StormWatch

Summary of 80386 Multiplication and Division

The Intel 80386, released in October 1985, was a groundbreaking 32-bit processor that significantly improved personal computing. It expanded the register width from 16 to 32 bits, allowing for a larger address space, and maintained compatibility with existing DOS software.

Key features of the 80386 included:

• A flat 4GB address space.
• Virtual memory with paging.
• Improved protected mode.

The 80386 also enhanced arithmetic performance, especially for multiplication and division. It introduced dedicated hardware for these operations, allowing multiplication and division to be processed at a rate of one bit per cycle.

Multiplication:

• The 80386 uses an "add-and-shift" algorithm instead of the traditional Booth algorithm.
• It handles different operand sizes (8-bit, 16-bit, 32-bit) using the same registers and microcode routines.
• Notably, it incorporates an "early-out" optimization that allows the multiplication loop to terminate early if certain conditions are met.

Division:

• The 80386 employs a standard non-restoring division algorithm.
• It requires multiple cycles for division operations, with a correction step for signed division (IDIV).
• IDIV involves computing absolute values and adjusting the signs of the quotient and remainder.

Performance Comparison: The 80386's approach to multiplication and division was advanced for its time but has since been surpassed by modern processors that use more complex techniques and hardware for faster arithmetic operations.

Overall, the 80386's architecture laid the groundwork for future developments in personal computing and remains influential in computer design.

The text discusses the "killed negatives" from the Farm Security Administration (FSA), a photography project initiated under Franklin D. Roosevelt's New Deal to document the struggles of farmers during the Great Depression. Key points include:

1. Killed Negatives: These are photographs that were deemed unfit for publication and marked with a hole punch. Out of about 270,000 images taken by FSA photographers, around 100,000 were killed.

2. Roy Stryker's Role: Stryker headed the FSA's photography program. He had specific ideas about what images were suitable and often rejected or altered photographs he found lacking. His editorial decisions sometimes frustrated photographers like Dorothea Lange.

3. Historical Context: The FSA aimed to highlight rural poverty and support struggling farmers, but it also reflected biases, focusing more on white tenants and often overlooking minority groups.

4. Impact of Killed Negatives: The killed images, while initially rejected, have gained interest for their haunting voids and the questions they raise about representation and value in photography. They invite viewers to consider whose experiences were deemed worthy of documentation.

5. Lasting Legacy: Despite being marked as “killed,” these images still exist in archives, prompting reflections on the nature of historical documentation and the narratives that are preserved or ignored.

Overall, the text examines the intersection of photography, social history, and editorial choices within the context of the FSA's mission.

The author typically creates web games using C++, but finds Emscripten too complex for their needs. They focused on improving the interaction between JavaScript and WebAssembly (WASM) by using a Shared Memory approach, which allows batching instructions and sending them to JavaScript in one go. This method significantly increased performance, achieving 100 FPS compared to Emscripten's 40 FPS when rendering rectangles.

To simplify writing DOM logic in C++, the author developed a new language called Coi. Coi allows for efficient updates with no Virtual DOM overhead, leading to better performance in benchmarks against React and Vue. It automatically includes new browser APIs into its standard library with minimal effort.

The author is pleased with the progress of Coi, which combines high performance with an enjoyable syntax. They are also exploring server-side functionality to enable code sharing across the stack.

They provide a demo and links to Coi and WebCC for further exploration. Overall, the project is an exciting venture for the author, who welcomes feedback.

Summary:

This text describes a tool that allows users to create user interfaces (UIs) by prompting an AI to generate JSON based on a predefined component catalog. Here are the key points:

1. Component Catalog: Users define a catalog that specifies which components and actions the AI can use. This sets limits on what can be created.

2. User Prompts: Users can request specific UI elements, like a login form or feedback form. The AI then generates JSON that fits within the defined catalog.

3. Instant Rendering: As the AI generates JSON, the components can render progressively, displaying the UI in real-time.

4. Exporting Code: The generated UI can be exported as standalone React components, requiring no additional dependencies. This includes all necessary files to run the project independently.

5. Features:

   • Guardrails: The AI is restricted to using only the components defined in the catalog.
   • Streaming: The rendering happens in real-time as JSON is received.
   • Data Binding: Supports two-way data binding using JSON Pointer paths.
   • Conditional Visibility: Elements can be shown or hidden based on certain conditions, like user authentication.

6. Getting Started: Users can start by installing the necessary packages and following the documentation provided.

This tool simplifies UI development by allowing users to describe what they want, and the AI generates the corresponding code and components.

Summary of Vortex Support in DuckDB Announcement

Vortex is a new open-source columnar file format designed to improve data handling for analytics, especially compared to the established Parquet format. It allows for efficient reading and writing of data without needing to decompress it fully, which can save time and memory.

Key Features of Vortex:

• Flexible Design: Vortex supports various data types and is optimized for different computing patterns, including using CPU and GPU effectively.
• Late Materialization: This feature allows computations to be performed on compressed data, reducing the need for decompression.
• Dynamic Libraries: Vortex can use additional libraries for specific data types and functions, enhancing its capabilities.
• Integration: Vortex is compatible with several engines, including DuckDB, DataFusion, Spark, and Arrow.

DuckDB and Vortex Integration:

• DuckDB now includes a Vortex extension, making it easy to read and write Vortex files.
• Users can install and use the extension with simple commands.

Use Cases for Vortex:

1. SQL analytics with reduced IO and memory usage.
2. Machine learning data processing for various types of data.
3. Efficient data transfer for AI model training, particularly from storage to GPU.

Performance Comparison:

• In benchmark tests, Vortex performed significantly faster than both versions of Parquet, showing an 18% speed improvement over Parquet V2 and 35% over Parquet V1.
• It maintained consistent performance across multiple runs, with lower variations in execution time.

Conclusion: Vortex offers a compelling alternative to Parquet, especially for analytical tasks, and is well-integrated into DuckDB, making it a valuable tool for data analytics and processing.

The text discusses the role of an Incident Commander or Incident Manager, who steps in during emergencies to lead a team in resolving issues. It's important for this person to stay informed about the situation. The author shares a successful approach used by an experienced Incident Manager who implemented a 30-minute communication strategy.

When an incident occurred, he would wait 30 minutes for updates before checking in with the team. If he received an update before the 30 minutes were up, he would reset his timer and give them space. This method helped prevent unnecessary interruptions and allowed the team to focus on solving the problem. Over time, his team started to naturally provide updates around the 25-minute mark, creating a culture of timely communication. The author appreciates this predictable approach and finds it effective.

The Polyhedral Structures Laboratory at the Pennovation Center is a collaborative space for designers, engineers, and computer scientists. They use a technique called graphic statics to create strong and efficient structures that need less material.

In 2025, Penn's research highlighted 20 significant breakthroughs, showcasing a wide range of innovations from ancient tombs to tiny robots, gene editing, and AI weather models. This work demonstrates how curiosity and teamwork can lead to impactful knowledge across various fields and regions.

KAOS: K8s Agent Orchestration System Summary

KAOS is a framework designed for deploying and managing AI agents using Kubernetes. It allows users to easily orchestrate these agents, offering features like multi-agent coordination and integration with large language models (LLMs).

Key Features:

• Agentic Graphs: Deploy networks of agents as Kubernetes resources.
• MCP Primitives: Integrate tools using the Model Context Protocol standard.
• Multi-Agent Support: Create systems where agents can delegate tasks to each other.
• OpenAI-Compatible: Agents can work with OpenAI's chat completion endpoints.
• KAOS CLI: A command-line tool to manage agents and environments.
• Visual Dashboard: A user interface to monitor agents and debug issues.

Quick Start: To get started, you need a Kubernetes cluster with kubectl and helm installed. You can install KAOS using either the KAOS CLI or Helm commands, and deploy your first agent by applying a configuration file.

Multi-Agent Systems: KAOS supports complex systems where a coordinator agent can delegate tasks to specialist agents.

Architecture: KAOS consists of various controllers that manage resources like Agent Pods and MCP Servers, facilitating effective communication and task management among agents.

Documentation and Resources: For detailed instructions and examples, users can refer to the full documentation available online, including quick start guides and sample configurations.

License: KAOS is licensed under Apache 2.0.

Summary of Lao Tzu's Tao Te Ching by Ursula K. Le Guin

1. The Nature of the Way: The true essence of the "Way" cannot be expressed in words or names. It is a mystery beyond ordinary understanding, revealing itself to those who are open and unattached.

2. Dualities and Balance: Concepts like beauty and ugliness, good and bad, arise together. The wise act without force and teach through example, allowing things to unfold naturally.

3. Simplicity and Contentment: Recognizing the value of simplicity prevents competition and greed. The wise nurture their souls and content themselves with what is essential.

4. Power of Inaction: True power lies in non-action and humility. The wise lead by example, avoiding force while still achieving their goals through quiet influence.

5. Nature of Existence: Everything in existence is interconnected. Recognizing the transient nature of life leads to peace and understanding.

6. The Role of Leaders: Effective leaders are unobtrusive and allow people to feel empowered. They cultivate trust and create an environment where people can thrive without coercion.

7. Wisdom in Perception: True understanding comes from within, not from external validation or knowledge. The wise embrace mystery and remain adaptable.

8. Cultural Critique: Lao Tzu critiques societal values that prioritize wealth and status over genuine connection and simplicity. He advocates for a return to basics and natural living.

9. Interdependence: All things are born from the same source. Recognizing this interconnectedness fosters humility and compassion.

10. Living in Harmony: The wise live in alignment with the natural flow of life, embracing change and uncertainty. They find strength in softness and resilience in vulnerability.

11. Embracing the Unknown: Accepting the mysteries of life and the limitations of knowledge leads to a deeper appreciation of existence.

12. Authenticity and Integrity: True greatness comes from authenticity and a commitment to the well-being of others. The wise accumulate wisdom by giving, not hoarding.

Overall, the Tao Te Ching emphasizes living in harmony with the natural world, embracing simplicity, and recognizing the interconnectedness of all things. It advocates for humility, non-action, and trust as paths to true power and wisdom.

The text discusses the future of work in an age dominated by AI and the challenges creatives may face. Here are the key points:

1. Human Desire for Meaning: Despite fears of AI replacing jobs, humans inherently seek to create, share, and be recognized for their contributions. Work has lost its meaningfulness due to a focus on productivity.

2. Evolving Societies and Meaning: Societies progress from simple to complex structures, impacting how meaning is created and understood. Historically, meaning has shifted from being dictated by higher powers (like gods) to being derived from productivity and progress, leading to a current crisis of meaning.

3. Impact of AI: AI may automate many jobs, increasing concerns about job loss and economic stability. If AI takes over tasks, the challenge becomes finding new ways to generate income and meaning for creatives.

4. Creative Work’s Value: Certain roles will persist, especially those that require human connection, such as in the experience economy or roles focused on meaning-making. People will pay for authentic, human-driven stories and experiences.

5. The Creator Economy: As traditional jobs diminish, creatives will need to generate their own income through their unique perspectives and engage audiences who share their interests. Attention will be a key resource in this new economy.

6. Skills for the Future: To thrive, creatives should focus on developing agency, taste, perspective, persuasion, and technical skills. These will help them adapt and succeed in an increasingly automated world.

Overall, the text emphasizes the importance of creativity, personal agency, and the human perspective in a future where AI plays a significant role in the workforce.

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The creator of Ghibli Search has developed a semantic search engine that helps users find scenes from Studio Ghibli movies, like Spirited Away and My Neighbor Totoro. You can describe a scene, such as "flying through clouds at sunset," or upload an image, and the engine will show visually similar scenes from the films. A live demo is available online, and the project is open source on GitHub. The creator is seeking feedback on the search quality and suggestions for improvements.

Summary of Ladybird Browser

Ladybird is a new, independent web browser being developed from scratch by a non-profit organization. It focuses on web standards to ensure good performance, stability, and security. Originally an HTML viewer for the SerenityOS project, Ladybird now supports multiple platforms, including Linux and macOS, and is expected to release an Alpha version in summer 2026.

Key Features:

• Independence: Ladybird does not use code from other browsers and is building its own engine.
• Singular Focus: The project is dedicated solely to creating a web browser without monetization strategies like search deals or crypto tokens.
• Development: Currently, there are 8 full-time engineers and many volunteers working on Ladybird. The team will expand carefully, ensuring a solid foundation.

Community Involvement:

• Ladybird invites developers to join its Discord server and contribute to its development.
• The project is funded through sponsorships and donations. Different sponsorship tiers are available, allowing companies to support the project.

Future Plans:

• While there are no immediate plans for Windows or mobile versions, these may be explored after the desktop browser is stable.
• Ladybird is committed to using third-party libraries for common functionalities but will maintain its own engine.

For more information or to get involved, visit Ladybird's community hub or GitHub page.

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Helsingborg, Sweden, is testing how its public services would cope with a complete digital shutdown. This trial is part of a broader European effort to reduce reliance on US technology, which has become a concern due to potential risks from technical failures, cyber-attacks, and geopolitical tensions.

Currently, a few major US tech companies dominate cloud computing in Europe, controlling about 70% of the market. This heavy reliance makes Europe vulnerable to disruptions, as seen in recent incidents involving AWS and Cloudflare which affected numerous services.

In response, the EU, led by President Ursula von der Leyen, is pushing for greater digital independence. Projects like Helsingborg's aim to identify risks and improve crisis preparedness. Other regions, such as Schleswig-Holstein in Germany, are transitioning to open-source software to reduce dependency on big tech.

The EU is also developing a cloud sovereignty framework to keep data under European control. It's important for both governments and individuals to consider the security and accessibility of their digital services. While complete digital independence may not be achievable, Europe can work towards ensuring its digital infrastructure remains resilient in times of crisis.

Servo Update Summary (January 2026)

• New Features: Servo 0.0.4 now supports multiple windows and several web platform features, including:

  • CSS support for contrast-color().
  • Partial support for <meta charset> and encoding sniffing.
  • Attributes for table elements and improvements to readable byte streams.

• Compatibility Enhancements:

  • Added support for vendor-prefixed CSS properties for better compatibility with older web content.
  • Full support for the SubtleCrypto API with several encryption algorithms.

• Diagnostics and Development Tools:

  • New diagnostics options in servoshell for easier debugging.
  • Partial support for the Network > Security tab in devtools.

• Performance Improvements:

  • Fixed various rendering bugs and improved memory usage.
  • Reduced resource consumption and improved stability by optimizing selector matching and garbage collection.

• Proxy Support: Basic HTTP proxy support is now available. Users can configure proxies through environment variables.

• Sponsorship and Donations: The Servo project is receiving $7,110 per month in donations, which supports ongoing development and infrastructure costs. New sponsorship tiers are available.

• Upcoming Events: Servo will be featured at FOSDEM 2026, with talks about its impact on the web ecosystem and implementation experiences.

For more detailed information, visit the Servo project’s official channels.

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Summary of "Unrolling the Codex Agent Loop"

The Codex CLI is a software agent created by OpenAI that helps users make reliable software changes efficiently. This article is the first in a series detailing how Codex operates, particularly focusing on its core feature known as the "agent loop."

Key Points:

1. Agent Loop: The agent loop is central to Codex's functionality, managing interactions between users, the AI model, and any tools the model uses. It consists of several steps:

   • The agent takes user input and prepares it as a prompt for the model.
   • The model generates a response based on this prompt (this process is called inference).
   • The model may either respond directly or request to use a tool (e.g., running a command).
   • If a tool is called, the agent executes it and uses the output to inform the next prompt.

2. Conversation Turns: Each interaction is referred to as a "turn." As the conversation continues, the amount of information included in prompts increases, which is managed carefully to avoid exceeding the model’s context window (the maximum amount of information it can process at once).

3. Model Inference: Codex uses the Responses API to run model inference. When a user makes a request, Codex builds a prompt from various input types (system messages, user instructions, etc.) and sends it to the API.

4. Prompt Building: The initial prompt is constructed by combining user input with pre-defined system instructions and tool information. This ensures the model understands the context of the request.

5. Performance Considerations: As conversations grow, managing the prompt size and ensuring efficient processing (through techniques like caching) are critical. Codex aims to maintain performance while ensuring that the context remains relevant.

6. Future Topics: The article hints at future discussions about the architecture of the CLI, tool implementation, and sandboxing in Codex.

Overall, the Codex CLI is designed to facilitate effective software development interactions, and this article sets the stage for deeper exploration of its features and functionalities in upcoming posts.

The Emulator 2000 is a Python program designed to emulate Seiko watches with specific models like Cal. UW01, UW02, and W030. However, there are some limitations: for the Spacetronic watch, a complete firmware dump was created, but some code and city information are saved on an external EPROM that could not be accessed.

Ollama Launch Overview

Ollama Launch is a new command introduced on January 23, 2026, that helps you easily set up and run coding tools like Claude Code, OpenCode, and Codex without needing any complex configurations or environment variables.

Getting Started:

1. Download Ollama version 0.15 or newer.
2. Open a terminal and pull the desired model:
   • For local models: ollama pull glm-4.7-flash (requires ~23 GB VRAM and 64000 tokens context)
   • For cloud models: ollama pull glm-4.7:cloud

Launching Tools: Use simple commands to launch your coding tools:

• For Claude Code: ollama launch claude
• For OpenCode: ollama launch opencode

This will help you choose and start your preferred model without any setup hassle.

Supported Integrations:

• Claude Code
• OpenCode
• Codex
• Droid

Recommended Models:

• Local Models: glm-4.7-flash, qwen3-coder, gpt-oss:20b
• Cloud Models: glm-4.7:cloud, minimax-m2.1:cloud, gpt-oss:120b-cloud, qwen3-coder:480b-cloud

Extended Sessions: If you face issues running models locally, Ollama provides a cloud service with hosted models allowing for longer coding sessions and generous limits, even for free users.

Configuration: You can configure tools without launching them immediately using: ollama launch opencode --config

For more details, visit ollama.com/pricing.

Summary of DSHR's Blog Post on Internet Archive's Storage

David Rosenthal discusses the Internet Archive’s innovative storage solutions, highlighting a report by Bruce Li titled "The Long Now of the Web." This report examines the technical workings of the Archive, including its unique PetaBox servers, which are designed to be energy-efficient and serve as a heating system for the building.

Initially, the Archive used tape drives for storage, but over the years, it evolved to more advanced PetaBox models. The latest racks can now hold 1.4 petabytes of data using larger hard drives, which significantly increases storage capacity while keeping the number of drives stable.

The Archive's cooling system takes advantage of San Francisco's cool climate, eliminating the need for traditional air conditioning and reducing electricity costs. This efficient design allows the Archive to focus its limited budget of $25-30 million per year on collecting and storing data rather than on energy expenses.

Despite their best efforts, some data loss is expected over time, but this is less concerning because the Archive's collection represents a sample of the internet rather than a complete record. The blog emphasizes that preserving data long-term is more of an economic challenge than a technical one, as maintaining high reliability can be prohibitively expensive.

Overall, the Internet Archive demonstrates how effective design and resource management can lead to significant achievements in digital preservation.

Summary: Can AI Grow Corn?

On January 21, 2026, a discussion about AI's capabilities led to a challenge: while AI can write code, can it influence the physical world? The answer is yes, through a system called Claude Code, which acts like a farm manager.

Key Points:

• Claude Code uses data from sensors and weather forecasts to make decisions about planting, irrigation, and harvesting.
• It coordinates human workers and keeps a detailed log of all decisions made.
• The project is currently operational in Texas and Argentina, with ongoing outreach and land searching in Iowa.

Timeline:

• Jan 22, 2026: The challenge was accepted.
• Jan-Feb: Infrastructure was set up.
• Feb-Mar: Land leases and contracts were arranged.
• March: Sensors were deployed.
• Apr-May: Planting occurred.
• May-Sept: The AI managed the growing season.
• October: Harvesting is scheduled.

For more information about the project, including code and decision logs, you can follow updates via the GitHub repository. Farmer Fred is open to inquiries from various stakeholders interested in this AI-driven farming initiative.

Summary of "Bug Apple Loves #001: Mail Search Doesn't Work"

The Apple Mail search feature is seriously flawed, often failing to find emails despite users trying various search terms. Many users resort to using Gmail, which quickly locates their emails. This issue has persisted for over a decade.

Key Points:

• Affected Users:
  • 14 million macOS users
  • 210 million iOS users
  • 28 million iPadOS users
• Usage: 35% of users utilize Apple Mail, and 40% of them experience search failures.
• Search Attempts: Users typically make multiple attempts with different variations before giving up and using Gmail.
• Extra Time Wasted: Users spend time trying to fix the issue, such as rebuilding the Mail index or searching for solutions online.

Impact:

• Daily Wastage: 37.1 million hours of human life lost each day due to this issue.
• Annual Loss: 1.5 million years and $406.3 billion in lost productivity each year.

Conclusion:

Despite the significant time and money lost, Apple has not fixed this problem, which could reportedly be resolved in just 320 hours of engineering work.

No summary available.

openpilot 0.10.3 was released on December 21, 2025. This update includes improvements and new features. The focus is on enhancing the driving experience and making the system more reliable. Users can expect better performance and additional functionalities with this version.

The report titled "Anthropic Economic Index" focuses on how artificial intelligence (AI), particularly the Claude model, is impacting the economy. It presents new metrics called "economic primitives" that measure various aspects of AI usage, including user skills, task complexity, autonomy, success rates, and the purpose of use (personal, educational, or work-related).

Key Findings:

1. AI Usage Patterns: AI usage is primarily focused on a few tasks, especially related to coding. The top 10 tasks account for 24% of interactions, showing a slight increase from previous reports. More than half of the conversations involve users learning or iterating on tasks with Claude.

2. Geographic Variation: AI usage varies significantly by region, with the US, India, Japan, the UK, and South Korea leading in adoption. In the US, states with more technical professionals show higher usage, but overall, usage is becoming more evenly distributed across states.

3. Task Complexity and Success Rates: Claude performs well on simpler tasks, but struggles with more complex ones. The success rate of Claude’s responses aligns with user education levels, suggesting that higher education may lead to better outcomes from AI.

4. Impact on Jobs: Claude is used for tasks that typically require more education than those in the broader economy. The removal of AI-assisted tasks could lead to deskilling in some jobs while upskilling in others.

5. Augmentation vs. Automation: The use of Claude has shifted back toward augmentation, where users work collaboratively with the AI rather than relying solely on it for automation.

Overall, the report highlights the rapid changes in AI adoption, the economic implications of these changes, and how different regions and tasks are affected by AI technology. The findings aim to help researchers and the public understand AI's transformative effects on the economy.

No summary available.

Polymcp is a framework that helps you turn any Python function into a tool that AI agents can use without needing to rewrite or complicate your code.

Key Features:

1. Simple Integration: You can easily expose your functions as tools for AI.
2. Examples Provided:
   • Simple Function: A function to add two numbers can be turned into an AI tool.
   • API Function: A function to get current weather for a city can be called by AI agents for real-time data.
   • Business Workflow Function: A function to calculate sales commissions from data can help generate reports automatically.
3. Benefits for Companies:
   • Quickly reuse existing Python code.
   • Automate complex tasks using AI.
   • Easily add multiple functions on the same server.
   • Save time in development with no need for custom setups.
   • Built-in error handling and validation for reliable performance.

Polymcp standardizes how Python functions can be used by AI across different software in a business setting.

For more information, you can visit the Polymcp GitHub repository.