Summary of Claude Opus 4.8 Announcement

Claude Opus has launched its latest version, Opus 4.8, which offers improved performance and features while maintaining the same pricing as the previous version. Key enhancements include:

1. Performance Improvements: Opus 4.8 shows better results compared to Opus 4.7 in various tasks, including coding, reasoning, and practical knowledge work.

2. New Features:

   • Effort Control: Users can now adjust how much effort Claude puts into tasks, balancing speed and quality.
   • Dynamic Workflows: This feature allows Claude to handle larger tasks more efficiently by running multiple subagents simultaneously.

3. Reliability: Early testers report that Opus 4.8 has improved judgment and is more reliable in completing tasks, making it better for complex and professional workflows.

4. Honesty and Alignment: Opus 4.8 is designed to be more honest, flagging uncertainties and avoiding unsupported claims, which enhances trust in its outputs.

5. Cost: The pricing remains the same, with regular usage at $5 per million input tokens and $25 for output tokens, while the fast mode is now three times cheaper.

6. Future Plans: Anthropic is working on more advanced models that will have similar capabilities as Opus but at a lower cost, alongside developing models with even higher intelligence.

Overall, Claude Opus 4.8 presents a significant upgrade with enhanced capabilities, making it a strong choice for users needing reliable AI collaboration.

Durable workflows are a reliable way to build programs by regularly saving their progress to a database, similar to saving a video game. If a program crashes, it can recover from the last saved point. Typically, these workflows use a central orchestrator, like Temporal or AWS Step Functions, to manage the execution of tasks.

However, this text argues that using a central orchestrator is overly complicated. Instead, it suggests using a database, specifically Postgres, to manage workflows directly. In this setup, application servers interact with Postgres to submit and execute workflows, checkpointing their progress in the database. This approach eliminates the need for a separate orchestrator, making the system simpler.

Using Postgres offers several advantages:

1. Scalability and Availability: The system can easily scale by adding more servers, and it relies on Postgres for processing workflows. Postgres has established solutions for handling large volumes of workflows and ensuring high availability.

2. Observability: Workflows and their steps are stored in Postgres, making it easy to monitor and analyze their execution using SQL queries.

3. Reliability and Security: By eliminating the orchestrator, the system reduces points of failure, as only Postgres needs to be operational. Additionally, workflow data is stored securely within Postgres, minimizing security concerns.

In conclusion, using Postgres as the backbone for durable workflows simplifies the system while enhancing scalability, observability, reliability, and security.

Summary of Loris Cro's Insights on Zig Days

Zig Days are collaborative programming events held on Saturdays where participants share their projects and work together. The aim is to foster a community focused on thoughtful software engineering.

Loris Cro advises limiting discussions about Large Language Models (LLMs) during these events, as they can overshadow other important topics like data structures and problem-solving techniques. He emphasizes the value of human interaction and learning through collaboration rather than relying on AI tools.

Participants should engage with each other for help and work manually to maximize learning opportunities. Zig Days are a chance to connect with others who share a passion for programming and enhance understanding in the field.

For Zig Day organizers, it's important to set clear expectations at the beginning of the event about the focus on meaningful exchanges and to preserve the unique spirit of Zig Days.

Benjamin Peck is trying to buy a top hat priced at $10 but has only $1. He is presented with an employment agreement from Crow Automation Systems, where he must:

• Fully commit his time and efforts to develop a project called Robo-Crow.
• Work in the office in San Franchickso for 12 hours a day, 7 days a week.
• Receive free meals during work hours, which is mandatory.
• Understand that opportunities are limited.
• Accept a 1% ownership stake in the company, which is not very valuable.
• Give up the right to question if there were better options.

Additionally, by signing the agreement, he agrees to a binding arbitration process that is not enforceable in some areas, where a crow acts as the arbitrator and is not available.

Claude Code is almost done with your project changes and needs your approval for some commands. You have 1 minute until your next meeting to decide whether to approve or deny them. It’s important to read everything carefully before making your choice. The text hints that there are potential risks involved in these decisions.

Summary: Indoor Wi-Fi Roaming with OpenWRT

The author revisits Wi-Fi roaming issues in their home network after upgrading to OpenWRT with Cudy AX3000 units. They have a split network: a 2.4GHz band for older devices using WPA2, and a 5GHz band for modern devices using WPA3.

Despite having set up basic roaming features, users, especially with Apple devices, experienced issues when moving around the house. To improve roaming, the author installed usteer, a tool that helps manage client connections between access points (APs). They also added a package to enable neighbor reports, allowing APs to share information about their connections.

After these changes, the network showed improvement, with clients better able to roam between APs. The author notes that while the 2.4GHz band remains congested and noisy, the 5GHz band showed better performance, with fewer weak connections.

Going forward, the author plans to monitor the network's performance, appreciating the simplicity and transparency of their OpenWRT setup without reliance on cloud services or proprietary software.

Welcome to Bitburner, a cyberpunk-themed incremental RPG set in a dark future in the year 2077. This tutorial will teach you the basics of the game, which you can skip anytime. If you want to replay it, go to the Options tab and select "Reset tutorial." You can also hide this tutorial panel temporarily. Enjoy upgrading your skills and exploring the game's features!

Summary of Raspberry Pi News (May 22, 2026)

Raspberry Pi engineers recently held a Q&A session discussing the Raspberry Pi 6 and other developments. Here are the key points:

1. Raspberry Pi 6 Timeline: The Pi 6 is expected to be released around 2026 or 2027, following the pattern of previous launches. However, due to a global DRAM shortage, the launch may be delayed until early 2028. The Pi 6 will likely feature a faster CPU and improved input/output capabilities, but not many new features.

2. Pi Zero 2W and Future Models: There is currently a shortage of Pi Zero 2W due to a constrained supply chain, but this should improve soon. No new Pi Zero 3 is planned yet because of cost issues and the need to redesign the PCB.

3. Microcontroller Development: The RP2350 microcontroller faced challenges with power and security, but recent improvements have resolved some issues. The current Pico models use micro USB for cost reasons, though USB-C might be adopted in the future.

4. Software Support: Raspberry Pi emphasizes strong software support, dedicating significant resources to developing libraries and drivers, which enhances the overall experience for users.

Overall, while the Raspberry Pi 6 is anticipated, delays and supply chain issues are affecting its timeline and features.

The team is open-sourcing ktx, a tool designed to improve the reliability of data agents that generate SQL queries. They created it after experiencing challenges with accuracy when building data agents for various companies.

Key issues with existing agents include:

1. Stale Data: Agents may use outdated columns or ignore business rules, leading to incorrect calculations.
2. Join Errors: Agents can incorrectly sum revenue by repeating data, especially in cases with multiple items per order.
3. Attribution Problems: Agents might misattribute revenue to campaigns due to varying methods of tracking customer interactions.

To address these problems, ktx uses a dual approach:

1. Business Context: It incorporates a knowledge base in Markdown format, which is automatically populated.
2. Structured Queries: It uses YAML files to define data structures, allowing agents to request specific metrics instead of writing SQL queries themselves.

ktx can integrate with various data sources and tools. It is released under the Apache 2.0 license and can be installed via npm or by using specific commands with agents.

The team is seeking feedback, particularly from users of Claude Code or Codex, about their experiences and challenges with data agents.

No summary available.

In the article, Simon Tatham analyzes a scene from the 2010 film Tron: Legacy, where Sam Flynn uses a computer to investigate his father's work. Tatham shares his experience of studying the computer screen's text, which resembles Unix shell commands, and identifies both errors and plausible elements within the scene.

Key points of the analysis include:

1. Shell Commands: The use of bin/history instead of just history is highlighted as a likely mistake, as shell history is typically a built-in command. Tatham suggests that the filmmakers might have created this for narrative purposes.

2. User Accounts: Sam logs in as “backdoor,” which shares privileges with the root account. This raises questions about why a backdoor exists on Flynn's own machine.

3. Operating System: The system is labeled "SolarOS," a fictional version of SunOS/Solaris, but the output reflects inconsistencies that imply it was filmed on a Linux system.

4. Command Order: The order of commands like make, make install, and ./configure is discussed, with Tatham noting that their sequence is correct for a specific non-Autoconf script.

5. Memory Management: Flynn kills processes to free memory before running software, though Tatham points out he should have checked memory after doing so.

6. Safety Measures: Flynn creates a file as a safety catch before running a dangerous command, reflecting common practices in software design.

7. Last Will and Testament: The presence of a will file suggests impending danger, as Flynn prepares to digitize himself. However, Tatham questions its practical validity.

8. Text Rendering: The use of a variable-width font in terminal windows is noted as unusual, as typical terminals use fixed-width fonts.

Tatham concludes that while there are errors in the scene, many details are consistent with real Unix practices and contribute to the narrative, making it engaging for viewers who appreciate technical accuracy. Overall, the analysis serves as both a critique of the filmmakers' choices and an exploration of the technical elements of the scene.

No summary available.

The text discusses the idea that electrical appliances should have detachable power cables, similar to printers and computers. It questions why this feature isn't common for other appliances like microwaves, toasters, coffee grinders, and mixers, suggesting that removing power cables would make cleaning and organizing easier.

The European Union has fined online retailer Temu €200 million ($232 million) for selling illegal products, including unsafe baby toys and faulty chargers. The EU Commission stated that Temu did not properly assess the risks of these products, which could harm consumers. Temu has been under investigation since October 2024 as part of its obligations under EU law.

An independent testing organization found that many chargers sold on Temu failed safety tests, and numerous baby toys contained harmful chemicals or had small parts that could cause suffocation. In addition to the fine, Temu must submit an action plan to rectify these issues by August 28.

Temu disagrees with the fine, calling it excessive and claiming it does not reflect their current safety measures. However, a UK consumer organization praised the EU's decision and urged the UK to take similar actions against online marketplaces selling dangerous products.

This fine is significant as it is only the second one issued under the EU's Digital Services Act, with the first being a €120 million penalty against Elon Musk's social media platform X.

This text explains how to create an Ubuntu virtual machine (VM) on macOS using OrbStack and connect to it via Tailscale SSH. The process involves saving an authentication key in Apple Keychain. For instance, you can set up a VM on your Mac mini to host a git repository or a Forgejo server. A colleague can then access this VM from anywhere, like a coffee shop or an airplane, to manage code without compromising the security of your entire Mac mini.

Endive Summary

Endive is a WebAssembly (Wasm) runtime designed to run on the Java Virtual Machine (JVM) without needing any native dependencies. This means it can operate wherever the JVM can, making it simple and safe to use. Endive is based on an earlier project called Chicory and aims to be the go-to choice for running Wasm on the JVM.

Key Features:

• No Native Code Required: Unlike other Wasm runtimes that need native code (written in languages like C/C++), Endive runs entirely in Java, simplifying distribution and maintaining JVM's safety and observability.
• Easy Integration: It is designed to work seamlessly with Java and other programming languages.
• Full Wasm Support: Endive supports the core WebAssembly specifications.

Development Progress:

• Completed features include a Wasm binary parser, bytecode interpreter, JUnit test generation, and support for various advanced Wasm features like SIMD, threading, and garbage collection.
• Ongoing work focuses on improving performance and adding support for the next version of the Wasm specification.

Community Involvement:

• Users and developers are encouraged to join the discussion on Zulip and contribute to the project.

For more information, you can explore their official documentation and see a list of organizations using Endive.

Summary of "The Lone Lisp Heap"

The text describes the development of "Lone," a Lisp interpreter written in C without relying on standard libraries. Initially, Lone was a simple collection of data structures, but it evolved as its creator learned more about programming.

Key Points:

1. Basic Structure: Lone uses custom data structures (lists, vectors, tables) to represent data and a heap to manage memory allocation.

2. Memory Allocation: Since it operates in freestanding C, Lone's creator had to implement a memory allocator from scratch. This allocator manages memory blocks, allows for splitting blocks for smaller allocations, and marks blocks as free when no longer needed.

3. Garbage Collection: The garbage collector scans memory to identify which objects are still in use. Initially, this was inefficient, as it required checking each pointer against all Lisp objects.

4. Optimization: To improve efficiency, the creator devised a linked list of arrays, enabling bulk allocation of Lisp objects, which simplified the garbage collection process.

5. Value Representation: The language transitioned from using pointers to using indexes for values in the heap, allowing for flexible memory management and reducing the risk of dangling pointers.

6. Advanced Memory Management: The heap now employs memory mapping techniques, allowing it to grow dynamically without needing to copy data, which optimizes performance.

7. Current State: The Lone Lisp heap is now a cache-friendly, efficient memory management system, capable of handling complex data structures while maintaining performance.

Overall, the development of Lone illustrates the challenges and solutions in creating a dynamic programming language, particularly in memory management and garbage collection.

Anthropic has successfully raised $65 billion in Series H funding, leading to a company valuation of $965 billion. This funding, led by major investors like Altimeter Capital and Sequoia Capital, will help Anthropic enhance its AI model, Claude, which is increasingly used by global enterprises in their operations. The company's revenue has reached over $47 billion.

With this investment, Anthropic plans to improve safety and interpretability in AI, expand its computing capabilities, and scale its products. They have secured significant agreements for new computing capacity with companies like Amazon, Google, and SpaceX, ensuring Claude operates effectively across major cloud platforms.

Industry leaders emphasize that Claude's advancements are driving significant adoption among businesses, positioning Anthropic as a leader in AI innovation. The company is also opening new offices in Milan and Seoul to support its global expansion.

The text reviews "The Score: How to Stop Playing Someone Else’s Game" by C. Thi Nguyen, exploring the distinction between meaningful games and harmful gamification. The author, David Runciman, shares his personal experience with simple word puzzles and reflects on how games can influence our daily lives.

Nguyen argues that good games provide enriching experiences, while bad games reduce human complexity to mere scores, often for corporate interests. Good games are voluntary and arbitrary, allowing players to engage creatively, whereas bad games impose scoring systems that dictate value and participation without consent.

Runciman critiques Nguyen's binary view, suggesting that the world is more nuanced and that scoring systems can sometimes serve a positive purpose, like promoting accountability. He compares this to social etiquette, which can both oppress and liberate.

Overall, while Nguyen celebrates the joy of games and the freedom they can offer, Runciman warns that the same rules can also confine us and that understanding the complexities of scoring systems is crucial in navigating our interactions and experiences.

The link provided leads to a GitHub page for a project called "hallucinate." Unfortunately, no further details about the project are included in your message. If you need a summary or details about a specific aspect of the project, please provide more information.

The text recounts a nostalgic trip to Bermuda taken by the author and their family in 1979. At that time, many of the author's classmates had never flown, as air travel was expensive. Bermuda was a popular and relatively affordable destination for New Englanders, offering beautiful beaches and a charming atmosphere reminiscent of Europe.

The author describes flying on an American Airlines DC-10, which featured a cockpit camera that intrigued young aviation enthusiasts. Over the years, air travel to Bermuda changed significantly, with larger planes being replaced by smaller jets as costs fell and more destinations became available. Today, options for flying to Bermuda are limited to smaller airlines like JetBlue and BermudAir.

The decline in popularity of Bermuda as a vacation spot is attributed to the rise of cheaper flights to a wider variety of locations. The text also includes comments from readers sharing their own experiences of traveling to Bermuda in the past.

A bipartisan amendment aimed at blocking police License Plate Recognition (LPR) programs was rejected by a House committee on May 21, 2026. This amendment, known as Amendment 221, would have prevented any entity receiving federal highway funding from using LPR cameras for policing, effectively ending Flock's law enforcement business, as it operates the largest LPR network in the U.S.

Key points include:

1. Political Backlash: The introduction of the amendment indicates growing opposition to Flock and police LPR programs, despite its failure to pass.

2. Amendment Details: Proposed by Rep. Scott Perry (R-PA) and Rep. Jesús García (D-IL), it aimed to use federal funding conditions to restrict LPR camera use for policing.

3. Impact on Flock: If passed, the amendment would have forced law enforcement agencies using Flock's cameras to choose between federal funding for roads and their contracts with Flock.

4. Lobbying Influence: Flock's lobbying efforts may have influenced the amendment's failure, as one of its lobbyists previously worked for García.

5. Lack of Debate: The amendment was voted down without discussion, even though it had bipartisan support, raising questions about political motivations.

6. Growing Concerns: There is increasing concern over LPR misuse, leading to public backlash and numerous lawsuits against Flock.

7. Future of Legislation: While the amendment failed at the federal level, state legislatures are taking action against LPR programs, suggesting that federal debates may resurface in the future.

Overall, the situation reflects a complex interplay of politics, public opinion, and the influence of lobbying in shaping legislation around police technology.

YouTube is introducing new AI features to help label and categorize videos automatically. This technology aims to improve how users find content, making it easier to discover videos related to their interests. The AI will analyze video content and apply relevant tags, enhancing the overall user experience on the platform.

The U.S. government recently announced a $2 billion investment in quantum computing startups, allocating $100 million to various companies in exchange for equity. However, Congress member Zoe Lofgren argues that this funding is illegal because it was originally meant for semiconductor research, not quantum technology. She claims the investments favor specific technologies, particularly those developed by IBM, which is set to launch a new company called Anderon, funded by both IBM and the government.

Anderon will produce quantum processors and may help other companies access better fabrication resources. While this initiative could advance the field, questions remain about its legality and whether it will genuinely benefit the broader quantum computing market. The long-term demand for these chips is uncertain, and the market may experience fluctuations as it develops.

Overall, there are concerns about the legality of the funding and potential favoritism toward certain technologies, but the creation of Anderon could help improve resources for quantum hardware development.

Dan from Elodin is developing an open-source flight software simulation for AI Grand Prix contestants. While waiting for the Round 1 virtual qualifier, competitors can use their simulation harness, which aligns with the competition's requirements and works with real Betaflight software. The simulation now includes a new feature that generates a camera sensor directly within the simulation, making it simpler and more efficient compared to using a heavy game engine. Although the current visuals are basic, they plan to enhance them using the Rust Bevy game engine. Participants can easily adapt to the official competition simulation once it's available. Good luck to all competitors!

Summary of bttf Tool

bttf is a command line tool designed for working with date and time, offering capabilities like arithmetic, parsing, and formatting. It is available under the MIT or UNLICENSE.

Key Features:

• Basic Commands:

  • Print the current time in various formats.
  • Calculate relative times and durations.
  • Convert times between different time zones.
  • Format timestamps from log files into local time.

• Examples of Use:

  • Print the current time: bttf
  • Format current time in RFC 3339: bttf time fmt -f rfc3339 now
  • Add durations: bttf time add -1w now
  • Generate sequences of specific days: bttf time seq day today -c5

• Installation:

  • Available as a binary for Windows, macOS, and Linux.
  • Can be installed via Rust's package manager, Cargo: cargo install bttf.
  • For locale support, install with: cargo install bttf --features locale.

• Building from Source:

  • Requires Rust. Clone the repository and build using Cargo.
  • Optional locale support can be included.

• Compatibility and Motivation:

  • bttf is not intended to be a drop-in replacement for other date tools; it has its own unique features and syntax.
  • The creator aimed to improve upon existing command line date tools by simplifying usage and adding flexibility.

For more examples and detailed documentation, users are encouraged to check the user guide.

Summary: Introducing Dynamic Workflows in Claude Code

Claude Code has launched dynamic workflows, allowing it to efficiently tackle complex tasks that typically take longer. This feature enables Claude to automatically create scripts that run many tasks simultaneously, reducing project timelines from months to days. It's particularly useful for big challenges like bug fixes across large codebases or extensive migrations, where multiple agents work in parallel and verify results before presenting them to users.

Dynamic workflows are currently available for users on Max, Team, and Enterprise plans, and can be accessed via the Claude Code CLI, Desktop, VS Code extension, and API. Users should start with smaller tasks to get accustomed to the increased token consumption associated with these workflows.

To use dynamic workflows, you can either ask Claude to create one or enable a setting called "ultracode," which optimizes the effort level for tasks. Early users have reported success in code audits and modernization efforts, highlighting enhanced speed and reliability.

An example of dynamic workflows in action is the recent successful migration of the Bun codebase, completed in just eleven days.

Overall, dynamic workflows streamline complex processes, ensuring effective coordination and reducing the need for manual oversight. For more details, users can refer to the documentation provided by Claude Code.

I'm unable to access external links directly. However, if you can provide the text you want summarized, I'd be happy to help!

No summary available.

RamAIn is a company that creates fast AI agents to automate repetitive enterprise tasks, making work 10 times quicker and more reliable. Founded by Shourya Vir Jain and Vansh Ramani, both IIT Delhi dropouts, RamAIn aims to streamline workflows that still rely on manual processes.

Shourya has experience at McKinsey and previously built a successful AI company. Vansh is an AI researcher known for his work on machine learning and vector search algorithms.

RamAIn is currently seeking a technical go-to-market (GTM) builder to develop their revenue infrastructure. This role involves creating and managing systems for lead generation, outreach automation, and CRM architecture. The ideal candidate should have 0-4 years of experience in GTM engineering or related fields, be familiar with modern GTM tools, and have basic coding skills in Python or SQL. A strong interest in AI and experience using AI for automation in marketing are also desired.

The author shares their experience building a DOCX plugin for Claude Cowork using Ruby, Java, and TypeScript.

1. Language Comparison:

   • Java: Best for handling zip files and XML without issues. It has mature libraries and static typing, which helps in writing code. The final binary size is around 88MB due to the embedded JDK.
   • TypeScript: Initially chosen for potential future support of MCPB, which would significantly reduce the binary size. The final size is around 70MB on Mac and 120MB on Windows. Uses libraries like fflate for zip processing and xmldom for XML.
   • Ruby: The first prototype was built in Ruby, but the author faced challenges due to its lack of typing and bugs in libraries used for zip and XML processing.

2. Development Process: The author built the plugin three times: first in Ruby, then in Java for desktop compatibility, and finally in TypeScript for MCPB support.

3. Plugin Mechanism Limitations: The author notes that the Codex plugin system is less advanced than Claude's, lacking support for executing binaries effectively.

4. Final Decision: Although Java performed best overall, the author chose TypeScript for its potential future advantages with MCPB support.

5. Invitation to Collaborate: The plugin is still in development, and the author invites interested users to try it out and provide feedback.

For more information or to try the plugin, visit: GitHub link.

Summary of Lenz Research Findings on AI Model Disagreement in Fact-Checks

As of May 21, 2026, a study analyzed 1,000 claims submitted by real users to a fact-checking platform, using five leading AI models to evaluate their accuracy. Here are the main points:

• Disagreement Rate: The models disagreed on 67% of the claims. This means that for many claims, at least one model offered a different verdict from the majority.

• Substantial Disagreement: In 34% of cases, the disagreement was significant, with models providing verdicts that differed by two or more categories (e.g., "True" vs. "False").

• Model Agreement: The average agreement among the models was moderate, indicating they are not fully aligned. The best agreement occurred between similar models, while the lowest was among more varied models.

• Verdict Distribution: Some models tended to classify claims as either "True" or "False," while others were more ambiguous, leaning towards the middle categories ("Mostly True" or "Misleading").

• Claim Categories: Disagreement varied across different topics such as finance, health, and politics, with some areas showing higher rates of disagreement than others.

• Methodology: The models were tested based on user-generated claims, aiming for a real-world application rather than relying on pre-existing benchmarks.

Overall, the study highlights that relying on a single AI model for fact-checking may lead to significant discrepancies in verdicts, underscoring the complexity of automated fact-checking systems.

Researchers are developing a low-cost Lidar system that can help robots and self-driving cars "see" around corners. Although the images produced aren't very sharp, they can show the general shape of hidden objects. This technology aims to improve navigation and safety for autonomous vehicles.

My wife loves playing a game called Pokopia, and after watching her, I decided to create a simpler version inspired by it called TapToyPia, which you can play in your web browser.

In TapToyPia, you are an explorer on a mission to build a new home for humanity on a new planet. As you explore, you find plants and animals that help you. The game has elements similar to clicker games and possibly Minesweeper.

I aimed to capture the calming essence of Pokopia and the growing complexity of clicker games like Universal Paperclips. With the help of generative AI, I was able to create a feature that lets players zoom out from a 2D map to a 3D view of the planet, which would have been hard to do without AI assistance.

I also focused on using unit tests to ensure the game's development went smoothly and safely. These tests can be run in the browser and through command-line tools, making it easier to improve the game quickly.

For more development details, you can visit this link.

Creusot Overview

Creusot is a tool designed to verify Rust code, ensuring it is safe from errors like panics, overflows, and assertion failures. It can be enhanced with annotations to check that the code behaves correctly. Creusot converts Rust code into Coma, a verification language used by the Why3 Platform, which helps automate the verification process.

Getting Help and Citing Creusot

For assistance, users can visit the discussions forum or join the Zulip chat. If you want to reference Creusot in academic work, use the ICFEM'22 publication.

Verification Examples

Creusot can verify various programming tasks, such as:

• Zeroing out a vector
• Binary search on vectors
• Sorting a vector
• IterMut
• Normalizing If-Then-Else expressions

More examples can be found in the test suite.

Projects Using Creusot

One notable project is CreuSAT, a verified SAT solver developed in Rust.

Installing Creusot

To install Creusot:

1. Install rustup for the Rust toolchain.
2. Get opam, the OCaml package manager.
3. Clone the Creusot repository and navigate to its directory:

   git clone https://github.com/creusot-rs/creusot
   cd creusot
   

4. Run the installation script with ./INSTALL.
5. Verify the installation with cargo creusot --help.

Upgrading Creusot

To upgrade, go to the Creusot directory and run:

1. git pull to update the sources.
2. opam update to refresh package listings.
3. Reinstall using ./INSTALL.

Contributing to Creusot

For developers interested in contributing, refer to the CONTRIBUTING.md for guidance on the workflow.

Summary: Tuning LLVM's SLP Vectorizer Cost Model

Kavin Gnanapandithan discusses his experience resolving a performance issue in LLVM related to the SLP (Superword Level Parallelism) Vectorizer. A recent update aimed to enhance performance by using ordered vector reductions instead of multiple scalar floating-point additions. However, this change led to a performance regression in a benchmark for RISC-V, increasing issued instructions by 26% and cycles by 48%.

Key Points:

• The new vectorization approach was deemed “profitable” by LLVM, but it overlooked the cost of building the initial vector, which made the code inefficient.
• The blog details the analysis process, including examining assembly code and LLVM intermediate representation (IR) to identify the problematic changes.
• The author identified that the root cause was a specific commit that altered how the SLP Vectorizer evaluates the cost-effectiveness of reductions.
• The SLP Vectorizer had incorrectly estimated the profitability of the new vector reduction, as it failed to account for the scaling of vector build costs relative to loop iterations.
• After collaboration and debugging, a fix was implemented to ensure the scaling was correctly calculated, leading to improved performance that matched the original benchmarks.

Overall, this case highlights the importance of accurately assessing costs in performance optimizations within compiler design to avoid regressions.

This study examines how the politeness and tone of prompts affect the accuracy of large language models (LLMs) like ChatGPT. Researchers created 50 questions in subjects like math, science, and history, rewriting them in five different tones: Very Polite, Polite, Neutral, Rude, and Very Rude, resulting in 250 prompts. They tested the model's responses and found that prompts that were impolite generally led to better accuracy (up to 84.8%) compared to polite ones (as low as 80.8%). This result contradicts earlier research that suggested rudeness yields poorer outcomes, indicating that newer LLMs might react differently to tone. The study emphasizes the need to understand the social aspects of how we interact with AI.

No summary available.

Summary of Rust 1.96.0 Announcement

The Rust team has released version 1.96.0 of the Rust programming language on May 28, 2026. This version includes several new features and improvements:

1. New Range Types:

   • Introduces new range types: core::range::Range, core::range::RangeFrom, and core::range::RangeInclusive, which can be copied.
   • Future updates will add more range types and improve the handling of slice accessors.

2. New Macros:

   • The macros assert_matches! and debug_assert_matches! help check if a value matches a specific pattern and provide better error messages.

3. WebAssembly Changes:

   • WebAssembly targets now require all linking symbols to be defined, making it easier to catch bugs early. This can be overridden if needed.

4. Stabilized APIs:

   • Several new APIs, including the new range types and assert macros, have been stabilized.

5. Vulnerability Fixes:

   • Two security vulnerabilities (CVE-2026-5223 and CVE-2026-5222) affecting third-party registries have been fixed. Users of crates.io are not impacted.

For those with previous versions, you can update to 1.96.0 using rustup update stable. The Rust team encourages users to test future releases and report any bugs. Thanks to all contributors for their efforts in this release!

Summary of "How Gradle Is Javamaxxing"

Gradle, a build tool for Java, is focused on using the latest Java Development Kits (JDKs) to improve performance and efficiency. Here are the key points:

1. Adoption of New JDKs: Gradle quickly integrates new JDKs because they offer enhancements that make builds faster and easier to manage. For instance, using a newer JDK can significantly boost performance without needing extensive changes to your build setup.

2. JVM Toolchains: Gradle uses JVM toolchains, allowing it to run on the latest JDK while still supporting older Java versions, like Java 8. This means you can compile and test code for older Java versions even if Gradle itself runs on a newer JDK.

3. Performance Improvements: Newer JDKs come with built-in improvements such as better garbage collection, faster compilation, and improved memory management. These upgrades can enhance the performance of Gradle builds without requiring code modifications.

4. Gradle's Update Strategy: Gradle monitors the usage of JDKs in the community and adjusts the minimum JDK required for running Gradle based on user trends. As of now, Gradle 9 requires at least JDK 17, with plans to move to JDK 21 soon.

5. Backward Compatibility: Projects can still target older Java versions while using the latest Gradle and JDKs. This separation ensures that developers can take advantage of improvements without losing compatibility with older systems.

6. Recommendations: Users are encouraged to upgrade their Java versions to benefit from the performance gains and features provided by newer JDKs.

In conclusion, Gradle is committed to maximizing Java's capabilities while maintaining compatibility with older versions, allowing developers to enjoy the best of both worlds.

The text discusses various whimsical sequences from the Online Encyclopedia of Integer Sequences (OEIS). It highlights some interesting and quirky sequences, such as one that lists integers by their width in the Helvetica font and another that includes "non-reduced" fractions, humorously referred to as "Fractions nobody needs." Other fun sequences mentioned include numbers represented in hexadecimal as "AAAAAA," James Bond primes containing "007," and sequences related to the number 666, which is often associated with the devil. The author notes that many of these sequences have a "dumb" keyword, suggesting they could be better labeled as "whimsical." The overall tone is light-hearted and playful, emphasizing the creativity found within the OEIS.

No summary available.

Summary:

Reflection in programming allows a program to inspect its own structures and procedures, which is useful for tasks like generating code and debugging. However, the C programming language lacks built-in reflection capabilities, forcing programmers to use various workarounds, each with significant downsides:

1. Manual Metadata Duplication: Programmers keep separate metadata structures, which is error-prone and labor-intensive.
2. X-Macros: This approach uses macros to define structures and their metadata but can lead to messy code and is limited in functionality.
3. External Code Generation: Using external tools or scripts to generate code can help, but it means moving away from writing pure C.
4. Custom C Compiler: Writing a C compiler or extending an existing one allows access to type information directly from the compiler, simplifying the process, but requires extensive effort.

The author ultimately chose to create a C interpreter that can generate type information from structures, allowing for better handling of types without the need for extensive boilerplate code. This approach enhances flexibility and reduces the need for manual synchronization of type metadata.

In conclusion, extending C's capabilities can streamline processes that traditionally require significant manual effort, paving the way for future advancements in C programming through features like compile-time metaprogramming and user-defined metadata attributes.

Summary: Warm Up Your MacBook

If your MacBook is cold after being outside, you can warm it up quickly by making it work hard.

1. Quick Command: Use this Terminal command to push your CPU to 100%:

   yes > /dev/null
   

   This command repeatedly sends the word "yes" to the system.

2. Using Stress Utility: For faster warming, install the stress utility with:

   brew install stress
   

   Then run:

   stress -c 6 -m 2 -t 300
   

   This starts 6 CPU-intensive tasks and 2 memory tasks for 5 minutes, which helps heat up your MacBook without overheating it.

3. Automation: You can create a shortcut by adding this line to your ~/.bash-profile:

   alias warm='stress -c 6 -m 2 -t 300'
   

   After that, just type warm in Terminal to run the command.

Enjoy your winter!

No summary available.

Wealthy investors are withdrawing their money from the U.S. as part of a trend called "de-dollarization." This shift is being discussed by Robert Frank. Additionally, CNBC and Addepar have introduced a tool called the Family Office Portfolio Tracker to help track how rich families invest. In the first quarter, billionaire families are focusing their investments on semiconductor and energy stocks amid the ongoing conflict in Iran.

Summary: A New Typst Template for Pandoc

In summer 2024, the author created a Typst template for Pandoc to convert markdown articles into well-formatted PDFs. However, due to updates in both Typst and Pandoc, the original templates no longer worked. In spring 2025, the author rebuilt the workflow using Pandoc’s updated Typst output template, which simplifies the process of formatting.

The new command to use the template is:

pandoc file.md -o file.pdf -V template=article.typ --pdf-engine=typst

This command allows Pandoc to recognize and apply the Typst template.

The new Typst template collects metadata from markdown, such as title and author, and includes several features:

• It supports left and right page headers and footers.
• It allows customization of text properties, like fonts and styles for block quotes, images, and headings.
• It has specific styles for epigraphs and a References section.
• It includes regex to style certain text elements, like dates and URLs.
• The document layout is simplified, with a clear title block and body text style.

The updated template is more organized and leverages improvements in Typst, making it easier to use and customize. The template can be downloaded for use.

Summary of libwce: A Simple Entropy Layer for Wavelet Codec

libwce is a minimal implementation of the entropy layer in a wavelet codec, designed to be straightforward and easy to use. Unlike traditional image codecs, which are complex and layered, libwce focuses solely on the entropy coding aspect without extra features.

Key Points:

1. Purpose: libwce is intended to demonstrate how wavelet coefficients are converted to bits, making it easier to understand wavelet coding without the clutter of a full codec.

2. Functionality: It implements a Bit-Plane Count (BPC) style entropy layer similar to JPEG XS, using a simple 500-line codebase without dependencies.

3. Compression Process: The library compresses pixel data by transforming it from the spatial domain to the frequency domain using wavelets. This process results in a 2D array of coefficients, which are then efficiently encoded.

4. BPC Coding: It processes groups of four coefficients to determine a bit-plane count, which helps in compressing the data by only recording significant bits.

5. Performance: The library offers a full codec demo that shows how to compress and decompress images with different quality presets, illustrating varying levels of image quality from near-lossless to very lossy.

6. Demos: There are three demos included:

   • image_compress: Demonstrates end-to-end image compression.
   • mode_shootout: Compares different encoding strategies to find the most efficient.
   • stream_surgery: Tests the decoder's robustness against data corruption and errors.

7. Limitations: libwce is not a complete codec; it doesn't include features like container formats or rate control. It's meant for educational purposes and to simplify the study of the entropy coding process.

You can find the code and further details on GitHub.

The text discusses a complex web of package managers and their interdependencies. Here are the key points:

1. Interconnected Package Managers: Some package managers can install each other's components, creating a loop. For example, Python's PyPI can install a Node.js binary, and Node's npm can install a Python version.

2. Matrix of Package Managers: The author created a matrix showing how 42 different package managers relate to each other, indicating which can install others and which can self-update.

3. Sources and Distribution: Various package managers like Homebrew and Conda can package many other tools. PyPI is particularly rich in cross-language tools, while Maven Central can redistribute frontend dependencies.

4. Self-Shipping: Many package managers update themselves using their own registries. For example, pip can upgrade itself through pip commands.

5. Complexity in Bug Reporting: When a bug is found in a package manager, each redistributor must manage their own reports, complicating vulnerability tracking.

6. Finding Dependencies: The author faced challenges identifying packages named after other managers and found better results by querying repositories directly.

7. Longest Dependency Chain: The author found an 11-step process to go from one package manager to another, showcasing the complexity of these interdependencies.

The author invites contributions to further explore these relationships on GitHub.

Some parts of the site couldn't load. This might be because of a browser extension, network problems, or browser settings. To fix this, check your internet connection, turn off any ad blockers, or try using a different browser.

A team of researchers has developed a neuromorphic Ising machine that mimics natural processes to solve complex optimization problems, like protein folding. This machine uses a unique combination of quantum physics and brain-like architecture, enabling it to quickly explore many possibilities and find near-optimal solutions. Unlike traditional AI, which struggles with certain computational challenges, this new approach guarantees a solution through a process similar to how nature operates.

The study, led by Professor Shantanu Chakrabartty from Washington University, involves collaboration from various institutions, including IISc in India, Heidelberg University, Johns Hopkins University, and the University of California, Santa Cruz. This work signifies a shift from relying on faster computers to developing machines that think differently, aiming to tackle some of the toughest problems in computing today.

The United Nations emphasizes the need for energy-efficient software to help reduce carbon emissions. Different programming languages affect how much energy software uses, with compiled languages generally being more efficient than interpreted ones. Lua, a popular interpreted language, is less energy-efficient compared to faster languages like C.

This study examines Lua's performance and energy use by testing 25 versions of its interpreter and just-in-time (JIT) compilers. By using a set of benchmarks, the researchers measured how long the programs took to run and how much energy they consumed. The findings show that JIT compilers for Lua are much more efficient than standard Lua interpreters. The best LuaJIT compiler uses about seven times less energy and runs seven times faster than the best standard Lua interpreter. Additionally, LuaJIT's efficiency comes close to C's, consuming roughly six times more energy and running about eight times slower than C, highlighting the significant advantages of JIT compilation for improving performance and energy efficiency in interpreted languages.

The Department of Homeland Security (DHS) is increasing its use of iris scanners as part of its immigration enforcement efforts, spending millions on this technology. They recently awarded a $25 million contract to BI2 Technologies for over 1,500 iris scanners and a mobile app to store biometric data. This expansion raises concerns among privacy advocates about the collection and potential misuse of personal data from detained individuals.

In a recent incident, federal agents used iris scanning technology during a raid in Chicago to identify a woman with a pending asylum case. Critics argue that this kind of technology can be abused, particularly against undocumented immigrants and protesters. Experts highlight the need for oversight and caution regarding how such sensitive information is used and stored, as there are fears that it could lead to increased surveillance.

DHS claims that these tools are necessary for efficiently identifying individuals during enforcement actions. However, concerns remain about the lack of transparency and potential violations of privacy rights.

Summary: How to Fix Image Pasting Issues from Windows to Claude Code in WSL

When trying to paste an image from Windows into Claude Code running in WSL (Windows Subsystem for Linux) using Windows Terminal, the operation fails due to three main issues:

1. Image Format Problem: WSL converts Windows images to an old BMP format that Claude Code cannot read.
2. Clipboard Overwrite: When you try to paste a PNG image into the Linux clipboard, WSL silently replaces it with the incompatible BMP format shortly after.
3. Ctrl+V Interception: Windows Terminal intercepts the Ctrl+V command, preventing Claude Code from receiving it.

Proposed Solution: To work around these issues, you need to implement a small program and make a few adjustments:

• Windows Program: Create a program (clip-listener.exe) that converts copied images to PNG format.
• Linux Script: Use a script (wsl-clip-bridge) in WSL that places the PNG onto the Linux clipboard and reasserts it if overwritten by WSL.
• Keybinding Change: Set up an alternate keybinding (Alt+V) in Claude Code to trigger the paste action, bypassing the Ctrl+V block.

Installation Steps:

1. Ensure you have WSL2 and Go installed.
2. Clone the GitHub repository for the bridge.
3. Run the installation script to set everything up.
4. After installation, copy an image in Windows and use Alt+V in Claude Code to paste it successfully.

Future Fixes: Changes in WSL and Claude Code could eventually eliminate the need for this workaround if:

• WSL supports sending PNG images.
• Claude Code can read the BMP format properly.
• Windows Terminal stops intercepting the Ctrl+V command.

When these fixes are implemented, the workaround can be easily removed.

Jonah Aragon shares his insights on mesh networking, highlighting its potential to reduce reliance on central internet service providers. He emphasizes that while existing services like Meshtastic and MeshCore offer some functionality, they have limitations in scalability and flexibility.

Key Points:

1. Background in Networking: Jonah runs his own ISP and recognizes the internet's reliance on a few dominant providers, which leads to issues like censorship.

2. Mesh Networking Benefits: Mesh networks allow data to be shared directly between devices, promising greater independence and resilience, especially useful for messaging and information sharing.

3. LoRa Technology: LoRa radios are essential for mesh networking, using unlicensed frequencies for long-range, low-power communication.

4. Comparing Solutions:

   • Meshtastic: User-friendly and popular for small groups, but struggles with larger public networks due to bandwidth limitations.
   • MeshCore: Offers better routing but is not fully decentralized and has proprietary elements that raise concerns about freedom and control.
   • Reticulum: A more advanced solution that allows for a wider range of connections and better scalability, handling multiple types of networks seamlessly.

5. Challenges: Both Meshtastic and MeshCore are limited in scale and heavily rely on LoRa, which may not be ideal for all communication needs. Reticulum, while promising, currently lacks standalone firmware for LoRa radios.

6. Future Vision: Jonah advocates for Reticulum as the most promising option for building robust local and global mesh networks, enabling critical applications beyond simple messaging.

Overall, Jonah encourages enthusiasts to consider the long-term potential of mesh networking solutions, particularly Reticulum, for creating decentralized communication systems.

To see comments, you need to enable Javascript.

The text introduces Epicure, a system that creates ingredient embeddings using data from a large collection of recipes in multiple languages. It combines 4.14 million recipes from 11 sources, including languages like English, Chinese, and Spanish, and standardizes ingredient names to 1,790 common entries. Epicure builds two types of graphs: one that shows how ingredients co-occur and another that maps ingredients to their chemical compounds. It uses these graphs to develop three variations of a model called Metapath2Vec, which differ in how they analyze ingredient connections. These models are designed to explore the relationship between ingredient chemistry and recipe context.

No summary available.

Rapira Overview

Rapira is a TypeScript/Bun interpreter for РАПИРА, a Soviet educational programming language created in the 1980s. It was developed for the Агат (Agat) microcomputer as part of the Школьница (Shkolnitsa) school computing system.

Key Features:

• Interpreter Core: Includes a lexer, parser, and evaluator that adheres to the 1985 Agat dialect with Russian keywords and specific syntax rules.
• Command Line Interface (CLI): You can run programs directly in the terminal or access a multi-line REPL (Read-Eval-Print Loop).
• Web Playground: A browser-based environment for coding, featuring light/dark themes and example loading.
• Turtle Graphics: Implements graphics commands in Rapira that can be rendered in both the CLI and web playground.

Installation:

• You can run the CLI without installation using npx if you have Node.js version 18 or higher.
• For local development, it’s recommended to use Bun for running tests and development servers.

Examples of Use:

• The examples demonstrate basic output, factorial calculations, turtle graphics for shapes, and file I/O operations.

Documentation and License:

• Comprehensive documentation is provided, including the implementation contract and onboarding notes.
• The project is licensed under the MIT License.

You can try Rapira online at this link or run programs through your terminal.

The text discusses a unique horse-racing board game that relies entirely on luck, with no player control over the horses or betting. This game can be played by 2 to 12 players and has been released under various names over the years. The author finds its mystery and entertainment value appealing and plans to create their own version.

There are two main modes of play:

1. Classic Mode: Players do not have any input and play for a set number of rounds. Players roll dice to determine which horses are "scratched," and they must contribute chips based on the cards they hold. The winner is the player with the most chips at the end.
2. Advanced Mode: This mode includes more strategy with the addition of special card abilities and a two-pot system for betting.

The game consists of a board with horse tokens, dice, and cards. Players can also implement various house rules and variations to add different elements to the game.

Overall, it's a fun, luck-based game that is easy to understand and play.

A Google employee named Michele Spagnuolo has been charged with fraud after allegedly using insider information to profit $1.2 million from bets on a prediction market called Polymarket. He is facing charges of money laundering, commodities fraud, and wire fraud, as detailed in a complaint filed in New York.

Prosecutors claim that Spagnuolo, who had access to confidential Google data, correctly bet that a singer named d4vd would be the most searched person in 2025. He is linked to the account "AlphaRaccoon," which made suspicious trades last December. Following the public release of Google's Year in Search results, Spagnuolo's bets reportedly earned him significant profits.

Google has stated that they are cooperating with law enforcement and have placed Spagnuolo on leave, acknowledging that he breached company policies by using confidential information for personal gain. Additionally, he is facing a civil case from the Commodity Futures Trading Commission (CFTC) for insider trading.

This incident follows another recent case involving a U.S. Army sergeant who was arrested for similar betting based on classified information.

Summary of "What Apple and Google are doing to your push notifications"

Apple and Google have significantly changed how push notifications work on their platforms. They now serve as intermediaries, managing notifications by summarizing, reordering, and sometimes rewriting them before they reach users. This shift is similar to what has happened with email, where providers also control how messages are presented.

1. Push Notification System: The push notification systems began in 2009 (Apple) and 2010 (Google) to save battery life by centralizing notifications through their servers. This allowed them to control and filter notifications from apps.

2. Increased Control: Over time, both platforms have gained more control over notifications. Users now have more options to manage their notifications, but this has also meant that senders have less control. Notifications can be filtered, summarized, or deprioritized based on algorithms.

3. Email Comparison: Email has already undergone similar changes, with platforms using algorithms to determine how emails are categorized and displayed. Push notifications are now catching up, but they lack the visibility and tracking that email offers.

4. User Behavior: Research shows that most notifications do not result in immediate action; users often ignore them. Notifications from personal contacts are valued more than promotional ones.

5. Analytics Limitations: Marketers have limited visibility into how their push notifications are received. Metrics are often unreliable, and many interactions happen in a way that is not tracked.

6. Effective Strategies: To succeed with push notifications, marketers should:

   • Use push notifications for essential alerts and re-engaging users.
   • Personalize and segment notifications to avoid generic broadcasts.
   • Request user permission in context, rather than at the app launch.
   • Focus on clear, fact-based messaging that can withstand summarization.
   • Develop strategies for in-app messaging to complement push notifications.

In conclusion, push notifications are evolving, and marketers need to adapt their strategies to ensure their messages are effectively delivered and engaged with in a landscape dominated by platform control.

The article discusses alternative internet protocols beyond the common HTTPS, focusing on URIs (Uniform Resource Identifiers) and three specific protocols: Finger, Gopher, and Gemini.

1. Introduction to URIs: URIs are essential for browsing the internet, but many are unaware of alternatives to HTTPS.

2. Decentralization: The IndieWeb movement aims to reduce reliance on large corporate platforms by promoting a more decentralized internet.

3. Browser Dominance: Most web browsers are based on Google's Chromium engine, leading to a lack of diversity and potential vulnerabilities.

4. Finger Protocol (1971): This early protocol allows users to check who is online and share simple personal information through a plain text file. It can be run on minimal infrastructure.

5. Gopher Protocol (1991): Developed for campus information sharing, Gopher used a menu system to navigate information. Although it lost out to the web due to licensing fees, it still has an active community and retains many servers.

6. Gemini Protocol (2019): Created in response to privacy concerns, Gemini mandates encryption and offers a simpler, no-frills browsing experience. It focuses on plain text, aiming to improve writing clarity.

7. Community and Accessibility: These protocols are lightweight and can run on older hardware, making them accessible to more people. This is critical in a world where modern browsers require expensive resources.

8. Solarpunk Movement: The author connects these alternative protocols to solarpunk ideals, emphasizing community, sustainability, and technology that serves humanity rather than corporate interests.

9. Encouragement to Explore: The article concludes by encouraging readers to engage with these alternative protocols and contribute to their development, highlighting resources for getting started.

Overall, the text advocates for a more diverse, decentralized, and user-focused internet through lesser-known protocols that prioritize simplicity and community engagement.

Summary of "Hold on for dear life" by Cory Doctorow (May 28, 2026)

The article discusses the complexities of using technology, specifically encryption and cryptocurrency, in the fight against authoritarianism.

1. Encryption's Power: Properly implemented modern cryptography offers strong privacy protections against technological attacks. However, it is vulnerable to physical coercion, such as torture, to reveal passwords (known as "rubber hose cryptanalysis").

2. Cypherpunks Debate: There are two main groups within the cypherpunk community:

   • One believes encryption can help people communicate and transact without state interference, potentially making states obsolete.
   • The other argues that without the rule of law, encryption offers limited security, especially against physical threats.

3. Cryptocurrency Issues: Cryptocurrency aims to eliminate the need for state institutions like banks, but it has many problems, including slow and unreliable transactions, and a reliance on tech platforms that are often unregulated. This environment has made it a hotspot for scams and violent crime, especially against those holding significant amounts of crypto.

4. Personal Security Risks: The risks associated with managing cryptocurrency keys can lead to personal danger, as criminals may resort to violence to steal crypto assets. Increasingly, individuals are forced to adopt extreme security measures to protect themselves.

5. Failures of Cryptocurrency: The article argues that crypto has failed to deliver on its promises of safety and freedom, leaving its users vulnerable and living in fear. It raises concerns about the implications of needing to hide one's identity and the cost of security measures that exceed those of traditional financial institutions.

6. Role of Cryptography: While cryptography is essential for protecting privacy and resisting state repression, it cannot replace the need for democratic governance and rule of law.

In conclusion, the article critiques cryptocurrency as a flawed solution that exposes users to significant risks, contrasting it with the protective potential of proper cryptographic practices within a lawful society.

The author reflects on their friendships and emotional connections by analyzing 20 years of chat messages, totaling 1.2 million. They aimed to better understand their relationships and emotional patterns rather than just track milestones like jobs or trips.

Key points include:

1. Digital Archives: The author gathered their online messages from various platforms (ICQ, VK, Twitter, etc.) to create a comprehensive digital history. This involved dealing with messy data formats and filtering out irrelevant content.

2. Friendship Dynamics: The analysis revealed trends in communication, such as the reduction in message volume but an increase in message length over time, indicating that friendships can change rather than end.

3. Emotional Analysis: The author explored sentiment in conversations, discovering that the emotional tone can vary depending on the relationship. They found that transactional conversations often increase when relationships thin out.

4. Friendship Lifespan: The author noted that the median duration of friendships in their dataset was about three years, with significant contact attrition occurring during life changes like moving.

5. Self-Reflection: Through this extensive analysis, the author learned about their own communication style, realizing they tend to offer advice rather than listen. They also acknowledged the complexity of maintaining friendships in a digital age.

Ultimately, the author concludes that while they may have procrastinated in nurturing relationships, they can now utilize the insights gained to be a better friend.

Matrix multiplications on GPUs can perform differently based on the data being processed. In a recent test using the CUTLASS library and PyTorch, it was found that matrix multiplication (matmul) speed can vary significantly depending on the type of input data. For example, using all zeros resulted in a peak performance of 295 Teraflops, while random data only achieved 257 Teraflops.

The reason behind this performance difference lies in how power consumption works in GPUs. When matrices with predictable data (like all zeros) are processed, the number of transistor switches (dynamic power) is reduced. This helps keep the GPU's power usage below its limit, allowing it to run faster. On the other hand, unpredictable data causes more transistor activity, leading to higher power consumption and potential throttling, which slows down performance.

As power limits decrease or clock speeds are reduced, the performance gap between predictable and unpredictable inputs changes. In some cases, when power is very constrained, even predictable inputs can perform poorly due to overall throttling.

This highlights an important aspect of GPU performance: it isn't solely about computational power, but also about how effectively the hardware can operate within power limits. Thus, the real-world performance of GPUs may fall short of their advertised capabilities due to these power management issues.

The text discusses a new approach to Continuous Integration (CI) that allows developers to run their CI pipelines locally on their laptops, improving the workflow and reducing the frustration of dealing with CI issues.

Key points include:

1. Current CI Limitations: CI often relies on provider-specific configurations that can lead to confusion and delays when trying to fix issues that could be resolved locally.

2. Local CI with pixi: The idea is to keep build logic in a project-specific file (pixi.toml) rather than in the CI provider's configuration. This allows the same commands to run on local machines and in CI environments.

3. Dependency Management: A lockfile (pixi.lock) ensures that everyone working on the project uses the exact same package versions, eliminating the common "it works on my machine" problem.

4. Simplified CI Configuration: With build logic defined in pixi.toml, CI configurations become much simpler, only needing to check out the code, set up pixi, and run tasks.

5. Easier Onboarding and Environment Consistency: New team members can quickly set up their environment by running a single command, and the lockfile ensures consistency across different platforms.

6. Separation of Concerns: The approach promotes the idea that CI providers should focus on managing builds and not dictate how projects are built, allowing for more flexibility in choosing CI tools.

In summary, pixi aims to streamline the CI process by allowing developers to run tests and builds locally with consistent environments, making the development cycle faster and more reliable.

The text discusses how private equity (PE) firms, which manage large sums of money, have increasingly taken control of essential services in the U.S., often leading to negative outcomes for public safety and welfare. A tragic incident in Chicago highlighted the dangerous consequences of this trend when a malfunctioning fire truck, attributed to a PE-driven business model, resulted in several deaths.

Key points include:

1. Private Equity Model: PE firms buy companies primarily through leveraged buyouts, loading them with debt that the acquired companies must manage. This often leads to cost-cutting measures that can degrade service quality.

2. Impact on Essential Services: PE firms apply their model to industries like fire truck manufacturing, ambulances, nursing homes, and more. This creates a "buy, strip, and flip" approach where companies are stripped of value to maximize profits, often at the expense of workers and services.

3. Fire Truck Industry Example: The fire truck sector has seen significant consolidation, with three companies controlling 80% of the market. This consolidation has led to increased prices and long wait times for fire trucks, creating a crisis for fire departments reliant on these vehicles.

4. Broader Patterns: Similar practices are observed in other sectors, such as emergency medical services, nursing homes, and housing, where profits are prioritized over service quality, leading to detrimental outcomes for communities.

5. Calls for Reform: There is growing concern and legislative efforts aimed at holding PE firms accountable for the debts and practices of their portfolio companies. Proposed reforms include closing tax loopholes and ensuring that essential services are not treated merely as profit-making ventures.

The text argues that the structural incentives of private equity are fundamentally misaligned with the needs of public services, leading to tragic consequences that will persist unless addressed at a systemic level.

The text describes a modern C++ tutorial written by Changkun Ou, covering C++ versions 11, 14, 17, and 20. It is available in both Chinese and English for online reading and download. The second edition emphasizes quick learning. The content is published under a Creative Commons license for non-commercial use, while the code is open-sourced under the MIT License.

The text provides CSS and JavaScript code for a splash screen on a website. Here are the key points:

1. Color Schemes: The background color is set to white for both light and dark themes, with a specific dot color defined.

2. Splash Screen Setup: The splash screen is positioned absolutely to cover the entire viewport and uses a grid layout to center its content.

3. Preloader Animation: Dots are animated to create a loading effect. The animations control their size, spacing, and opacity with keyframes for smooth transitions.

4. SVG Background: A placeholder SVG image is used as the background of the preloader.

5. Final CSS: There's a style change at the end to revert the overflow property and hide the splash screen after it’s no longer needed.

Overall, this code is designed to create a visually appealing loading screen for a website that adapts to different color schemes.

Summary of Direct Attach Copper (DAC) Cables

A Direct Attach Copper (DAC) cable is a type of connection that uses a twinax copper cable with specific connectors on both ends to enable direct communication between devices. These cables are typically used in data centers for short distances, especially within the same rack. They are less flexible than fiber optics but are less sensitive to bending.

DACs come in two main types: active and passive. Active DACs can transmit signals over longer distances but consume more power, while passive DACs are simpler and use less power. However, neither can reach the distances that optical cables can.

DACs are generally cheaper than optical connections, making them a popular choice for reducing costs in data centers. They are available in various speeds, such as 10GbE, 40GbE, and 100GbE, and can be used with different types of equipment, though compatibility can vary by vendor.

In summary, DACs are valuable for cost-effective data transmission in short-range connections, while optical cables are preferred for longer distances.

Your device is currently using an IPv4 address (54.248.248.244), which means you cannot see Hex, the IPv6 cat. To connect with Hex, you need to use IPv6, a newer and larger system that addresses the limitations of IPv4.

IPv6 is important because:

• IPv4 cannot support the growing number of Internet users and devices.
• IPv6 simplifies network design and management.
• It supports modern services like cloud computing and IoT more effectively.
• It reduces reliance on complex workarounds.

To help organizations transition to IPv6, five Regional Internet Registries (AFRINIC, APNIC, ARIN, LACNIC, and RIPE NCC) offer educational resources and training.

Common myths about IPv6 include:

• The belief that waiting to switch is fine, which can complicate the transition.
• The idea that IPv4 workarounds are sufficient, which doesn't solve long-term issues.
• The notion that only specialists can deploy IPv6, when it's actually a necessary step for sustainable Internet growth.

Countries like India, Brazil, Saudi Arabia, and the USA are already advancing in IPv6 adoption. For more information, APNIC provides an interactive map showing global IPv6 capability.

Canada has decided to purchase a fleet of early warning aircraft from Sweden’s Saab Technologies, specifically the GlobalEye model, instead of choosing Boeing's E-7 Wedgetail. This decision is part of Canada’s strategy to reduce its reliance on US defense suppliers. Prime Minister Mark Carney announced the choice at a defense conference, highlighting that the GlobalEye will help the Canadian military detect and deter threats in the Arctic.

Carney emphasized Canada's commitment to protecting its extensive Arctic territory, which is larger than India, after years of relying on US support. Saab has pledged to invest in research and development in Canada as part of the deal, although details on the number of aircraft and costs have not been disclosed. Military officials previously indicated a plan to acquire six of these planes.

This move is seen as a significant shift in Canada's defense policy, strengthening ties with Sweden, a new NATO ally, and fostering closer cooperation with Nordic countries in Arctic defense. Saab is also being considered for supplying Canada with Gripen fighters, as the country already has plans to buy 88 F-35 jets from Lockheed Martin.

The author is creating a command-line interface (CLI) tool for their homelab and self-hosted setup. They wanted a simpler way to manage deployments, monitoring, remote access, and various scripts. This open-source CLI combines multiple features, including monitoring, secure remote access (tunnels and terminal), log forwarding, and automated deployments. It keeps everything configurable and doesn't expose any ports.

One feature that several friends are interested in is using this tool to replace the Nabu Casa subscription for HomeAssistant with secure tunneling via BeaconInfra. While BeaconInfra is optional, the main agent is designed to work offline and prioritize local use.

An example output from the CLI shows the status of the system, including uptime, device information, and the health of projects and tunnels.

The text discusses the potential impact of AI on productivity in the workforce. It suggests that if AI can significantly increase productivity, workers could complete their tasks much faster, allowing for a day off each week. The writer humorously proposes taking Fridays off, arguing that with AI handling work, employees and executives could enjoy more leisure time without losing productivity. The author also mentions the high cost of childcare and questions the necessity of working five days a week, suggesting a four-day workweek might be more reasonable.

Many people believe that our attention spans are getting shorter, with a UK survey showing 49% feeling their focus has decreased. Headlines often blame social media and short-form videos for this decline. However, attention researchers disagree, stating that attentional abilities in healthy adults have remained stable over the years. Experts like Edward Vogel and Michael Posner suggest that no real evidence supports a decline in attention spans since the 1800s.

Dr. Gemma Briggs emphasizes that attention is task-dependent, meaning it varies based on what we are doing. It’s possible that while it might feel harder to concentrate, this isn't due to a decline in ability, but rather because we have more distractions competing for our attention.

Research shows that while short-term exposure to social media may impair immediate cognitive tasks, it does not indicate lasting damage to attention. Many studies highlight correlations between social media usage and attention issues, but correlation does not imply causation.

Claims about attention spans being shorter than a goldfish are unfounded and stem from misreported data. Some studies show that while people may switch tasks more frequently, this doesn’t necessarily mean their overall ability to focus has diminished.

In summary, while distractions from phones and social media are real, they do not mean our cognitive abilities are declining. We can manage our attention by using our devices mindfully and creating an environment that minimizes distractions. Ultimately, our brains are not "rotting," and we have control over how we engage with technology.

No summary available.

The tech industry is currently experiencing significant changes, marked by high revenues but also many layoffs. A key reason for this turmoil may be that tech CEOs are overly optimistic about the capabilities of AI, a phenomenon referred to as "AI psychosis." Box founder Aaron Levie suggests that CEOs, who are often disconnected from the day-to-day work, may underestimate the complexities involved in implementing AI effectively. They tend to believe that AI can handle tasks without fully understanding the challenges involved.

Levie encourages CEOs to engage deeply with AI to grasp its true potential and limitations. In 2026 alone, over 115,000 layoffs in tech have been attributed to AI, leading some to accuse companies of "AI washing," where they use AI as a scapegoat for job cuts driven by other factors.

Some CEOs, like Zeb Evans of ClickUp, have embraced AI by significantly downsizing their workforce, believing this will enhance productivity. However, research indicates that AI has not yet proven to significantly boost productivity. Studies show that while AI adoption can improve productivity, the perceived gains often exceed the actual measured benefits.

Experts predict that AI will only achieve basic competence in many tasks by 2029 and may take even longer to surpass human performance. Additionally, as more employees use AI, the workload may shift to executives, potentially leading to chaos if they are unprepared for the demands. Overall, the current enthusiasm for AI among CEOs may lead to organizational challenges rather than the expected efficiencies.

At UC Irvine, many faculty members are urging the University of California (UC) system to reinstate SAT and ACT testing requirements for applicants in science, technology, engineering, and mathematics (STEM). They claim that after six years without these tests, students are entering college unprepared in math, often needing to relearn basic concepts. A report from UC San Diego highlights a significant increase in students lacking adequate math skills.

Over 600 faculty members, primarily from UC Berkeley, sent an open letter to UC leaders, requesting that standardized testing be required starting in fall 2027. They argue that without these tests, it is difficult to assess whether students are ready for college-level math. The letter also emphasizes the severe gaps in mathematical preparation, with many students struggling in calculus classes.

The push for reinstating standardized testing comes after the UC system decided in 2020 to eliminate these requirements due to concerns about inequity and bias against students of color and low-income students. Critics of standardized testing point out that high school grades are often better indicators of college success.

While UC leaders have not formally backed the faculty's letter, they acknowledge concerns about student preparedness. Discussions about potential changes to admissions policies are ongoing, with some faculty supporting a re-examination of standardized testing.

Overall, California high school students are behind in math due to disruptions caused by the COVID-19 pandemic, with only about 30.5% meeting college readiness standards in math. Any changes to admissions requirements must go through a lengthy decision-making process within the UC system.

Summary of Interleaved Deltas

The text discusses a data structure called "weave," which is used for version control systems like Git and originated from the Source Code Control System (sccs).

1. Weave Basics: A weave consists of instructions that help reconstruct different versions of a file. Each instruction specifies an action (like adding or deleting lines) and the version it belongs to.

2. Version Dependencies: Versions in a weave can depend on each other. Some versions may add or remove lines introduced by previous versions, creating a complex web of relationships.

3. Active Revision Set: This is a collection of all the deltas (changes) that affect a file's content when a particular version is checked out. It is computed using a graph traversal method.

4. Reconstructing Revisions: To get a specific file version, the system computes the active set and scans the instructions to determine which lines are present in that version.

5. Computing Deltas: Deltas represent the changes needed to transform one sequence of lines into another. The process uses algorithms to find the most efficient way to describe these changes.

6. Extending Weaves: New changes can be added to an existing weave by using a function that integrates new deltas, ensuring that the integrity of the weave is maintained.

7. Reconstructing Deltas: Instead of comparing versions directly, the system can use bit masks to efficiently determine what has changed between two active sets of versions.

8. Conclusion: The sccs laid the groundwork for modern version control systems, influencing systems like Git and BitKeeper. Despite its age, its concepts are still relevant in contemporary software development.

9. Exercises: The text concludes with exercises aimed at deepening understanding of the weave structure and its applications in version control.

Overall, the weave is a powerful yet simple structure that facilitates the management of file versions and changes over time.

AI models are becoming increasingly powerful, leading people to feel they aren't using them to their full potential. Many envision AI as a tool that could greatly enhance productivity and personal development, sparking ideas like AI executive assistants, tutors, and digital organizers. However, these ideas often fail to materialize effectively for two main reasons:

1. Lack of Real Needs: Many people who express a desire for AI tools lack a genuine context or need for them. For example, those wanting AI to create flashcards often don't use flashcards themselves. Similarly, aspirations like having an AI tutor or executive assistant often come from vague desires rather than concrete requirements.

2. Internal Limitations: People face internal challenges such as motivation, executive function, and knowledge that AI cannot address. For instance, while tools may help manage tasks, they can't fundamentally change a person's mental processes or intelligence. Knowledge is another barrier; without a strong foundation, individuals may struggle to ask the right questions or understand the answers provided by AI.

In essence, while AI holds great promise, its effectiveness is limited by how individuals engage with it and their internal capabilities. As such, investing in personal development and education may yield greater benefits than relying solely on AI tools.

The text discusses significant advancements in artificial intelligence (AI) and its impact on mathematics and creativity. Key points include:

1. Erdős’s Unit Distance Problem: An AI model from OpenAI successfully solved a long-standing mathematical problem initially proposed by Paul Erdős, which led to concerns about the future relevance of human mathematicians.

2. AI's Capabilities: AI has demonstrated the ability to solve complex mathematical problems, including multiple Erdős problems and even formalizing proofs in mathematical languages. This has sparked debate about whether AI will soon surpass human mathematicians in fields traditionally dominated by them.

3. Human Reaction: Some young scientists expressed anxiety about their future roles as AI continues to solve problems that were previously seen as challenging for humans.

4. AI in Creative Writing: There are indications that AI-generated stories won awards in a fiction contest, which raises questions about originality and the role of AI in creative fields.

5. Pope’s Enclyclical: The Pope emphasized the need for AI development to promote the common good, rather than individual profit, highlighting the ethical considerations surrounding AI technology.

6. Future of Human Relevance: The text reflects on the existential concerns surrounding human intelligence and creativity in an age where AI is rapidly advancing, suggesting that while AI may solve complex problems, the human role may shift to understanding and interpreting AI-generated solutions.

Overall, the text paints a picture of a transformative era in mathematics and creativity, driven by AI advancements, while also raising questions about the future of human involvement in these fields.

Elon Musk recently targeted the U.S. Agency for International Development (USAID) on social media, labeling it as a "criminal organization" filled with "radical-left marxists." His comments came as the Trump administration moved to reduce the agency's staff and freeze its foreign aid activities. USAID, which has historically received bipartisan support for its humanitarian work, has faced increasing criticism, especially from conspiracy theorists who claim it engages in unethical practices.

Musk's posts about USAID largely stemmed from fringe conspiracy theories that had circulated online, suggesting that the agency is involved in biowarfare and other nefarious activities. These claims gained traction after Musk amplified them through his massive following on X (formerly Twitter). Influential accounts supported by Musk have claimed that USAID operates without oversight and is involved in money laundering.

Prominent among these conspiracy theorists is Mike Benz, a former Trump administration official, who has alleged that USAID's funding supports leftist agendas and has called for its dismantlement. Despite lacking evidence for his claims, Benz has gained a following on conservative platforms and has been promoted by Musk and others in right-wing media.

The impact of Musk's and Benz's rhetoric is significant, as it has led to real consequences for USAID's operations, affecting the delivery of critical humanitarian aid worldwide. Critics argue that while USAID may have inefficiencies, the characterization of it as "evil" or "criminal" is unfounded and harmful.

The article discusses the author's experience of jailbreaking a 7th generation Kindle Paperwhite to run Rust and Slint. Initially, the author wanted to use the Kindle as a clock but then sought to create more useful applications, like a dashboard for smart devices.

To compile Rust for the Kindle, the author used cross-compilation tools, particularly cargo-zigbuild. After successfully compiling a simple "Hello, World!" program, the author gained SSH access to the Kindle for testing.

Next, the author tackled putting a graphical user interface (GUI) on the Kindle using the Slint library. They managed to display graphics by converting the output to grayscale and writing it to the Kindle's framebuffer. For touch input, the author read from the device's touch controller, interpreting touch events to enable interaction with the GUI.

After overcoming various technical challenges, the author successfully created a working counter application with touch input. They then extracted the relevant code into a separate library for others to use, planning to develop a full dashboard in the future.

Summary: Raft Consensus with a Minority of Nodes

This post discusses a modification to the Raft consensus protocol that allows the system to make progress even if fewer than a majority of nodes are active, under certain conditions. The idea is inspired by the card game Spot It!, which uses a mathematical concept called finite projective planes.

Key Points:

1. Raft Basics:

   • Raft is a protocol for managing a replicated log in a cluster. It requires a majority of nodes to agree before committing changes, providing fault tolerance.
   • When a leader node crashes, a new leader is elected, ensuring only one leader exists at a time.

2. Overlap Property:

   • Raft's safety relies on the fact that any two majorities of nodes overlap in at least one member, preserving consistency across state changes.

3. Spot It! Explanation:

   • Spot It! is a game where cards share symbols such that any two cards have exactly one symbol in common. This is made possible by finite projective planes, mathematical structures with specific intersection properties.

4. Proposed Modification:

   • The modification involves using finite projective planes to define "blocs" (groups of nodes) instead of traditional majorities. A bloc can allow consensus with fewer active nodes, provided they form a valid group.
   • For example, in a system with 57 nodes, consensus could be reached with just 8 nodes if they form a specified bloc.

5. Scenarios:

   • The post illustrates various scenarios demonstrating how the modified protocol can make progress with fewer active nodes, while also showing limitations when necessary blocs are not present.

6. Trade-offs:

   • While this approach allows for progress with fewer nodes, it does not guarantee progress whenever a majority is active. The probability of having an active bloc decreases with fewer active nodes.

7. Final Thoughts:

   • The author suggests that exploring other methods to create intersecting families of subsets could improve the chances of progress and fault tolerance. There are also practical considerations for designing systems based on specific failure patterns rather than purely theoretical constructs.

In summary, this modification to Raft offers a fascinating blend of combinatorial design and practical consensus mechanism improvements, but it comes with trade-offs that need to be carefully managed.

No summary available.

DuckDuckGo's search engine, which does not use AI, experienced a significant increase in traffic following Google’s promotion of its AI features. From May 20 to May 25, visits to DuckDuckGo's AI-free search page rose by nearly 28%, with a peak increase of 27.7% on May 24. The DuckDuckGo mobile app also saw a notable rise in downloads, particularly among iOS users.

DuckDuckGo’s CEO criticized Google for its heavy reliance on AI, stating that users want options and control over their search experiences. Despite DuckDuckGo's growth, Google still dominates the search engine market with about 85% share.

DuckDuckGo emphasizes user privacy, claiming not to collect search histories or use them for AI training. The company also offers some AI products while maintaining a focus on user choice.

The proposal outlines the introduction of generic methods in the Go programming language. Here are the key points:

1. Definitions:

   • Concrete Method: A non-interface method that is declared with a receiver.
   • Interface Method: A method defined in an interface.

2. Current Limitations:

   • While functions can be generic, existing methods cannot declare type parameters. They can only have a receiver of a generic type.

3. User Demand:

   • Go users have long requested the ability to create generic methods, evidenced by multiple proposals receiving significant support.

4. Proposed Change:

   • The syntax for method declarations will be modified to allow type parameters, similar to function declarations.
   • This change emphasizes that a method is essentially a function with an additional receiver.

5. Calling Generic Methods:

   • The proposal outlines that generic methods can be called with explicit type arguments or by type inference, just like generic functions.

6. Examples:

   • The proposal provides examples of how to declare and use generic methods with different types, including structs and interfaces.

7. Impact on Existing Code:

   • The change is designed to be backward-compatible with existing Go code.
   • Methods of interfaces will remain unchanged, ensuring no disruption to existing implementations.

8. Reflection Limitations:

   • Generic methods will not be accessible through reflection due to the lack of mechanisms to instantiate generic types.

Overall, this proposal aims to enhance the flexibility and usability of methods in Go by allowing them to be generic, thus enabling more robust code without fundamentally altering the language's structure.

No summary available.

Summary of "Beyond the Prompt: Claude Code"

Claude Code is a powerful tool that can significantly enhance productivity for developers who use it beyond basic prompts. This guide is aimed at advanced users who want to optimize their workflow by treating Claude as an autonomous agent rather than just a chatbot.

Key Points:

1. Understanding Claude Code:

   • Shift your mindset from using Claude as a simple autocomplete to seeing it as a programmable agent. This change can lead to a 2-3x improvement in quality.

2. Daily Workflow Enhancements:

   • Explore, plan, and then code. Use planning mode to map out tasks before coding.
   • Reference specific files instead of vague descriptions for clarity.
   • Delegate tasks to Claude rather than trying to guide it step-by-step.

3. The .claude Directory:

   • This directory contains configuration files that enhance Claude’s capabilities. It includes project-specific and global settings.
   • Important files include CLAUDE.md for shared project rules, and CLAUDE.local.md for personal notes.

4. Skills and Subagents:

   • Skills are reusable commands that allow Claude to perform specific tasks efficiently.
   • Subagents operate in their own context, preventing clutter in your main workflow and improving focus.

5. Plugins and Marketplace:

   • Plugins can bundle skills and enhance functionality, making it easy to add new capabilities to Claude.

6. Optimizing Your Use:

   • Utilize commands like /goal to set clear objectives for Claude, and keep a clean, organized workflow by using multiple sessions and worktrees.

7. Learning from Mistakes:

   • Encourage Claude to learn from errors by updating its rules, which helps it avoid repeating the same mistakes.

8. Community Resources:

   • Explore shared CLAUDE.md files and skills from the community to gather best practices and enhance your own usage.

By fully utilizing Claude Code's potential through structured workflows, skills, and subagents, developers can significantly enhance their coding efficiency and project management. The goal is to treat Claude as a teammate that you configure and train, leading to better outcomes in development tasks.

Iran has partially restored its Internet after nearly three months of shutdown due to military strikes. On May 26, a significant increase in Internet activity was observed, particularly in Tehran, where 91.6% of the new traffic originated. The restoration follows two major shutdowns this year: the first occurred in January and the second began on February 28, coinciding with escalating military actions.

Cloudflare Radar data indicates that on May 26, traffic levels reached about 40% of what they were before the shutdowns, marking a hopeful sign of recovery. There was also a notable rise in DNS queries, suggesting more users are able to access websites and services.

Despite these improvements, the overall traffic remains well below pre-shutdown levels, and there are concerns that this recovery could be temporary. Additionally, while IPv4 address space has remained stable, IPv6 traffic is still almost nonexistent, indicating ongoing issues with Internet access.

As the situation develops, continued monitoring of Iran’s Internet connectivity will be essential.

Summary of "Freediving, Embodiment and Humanity"

In this post, the author explores the connections between freediving and human experiences, emphasizing how this unique activity reveals deeper aspects of being human. Freediving allows individuals to dive deep underwater without the need for bulky equipment, offering a sense of freedom and unity with the environment. However, it also presents challenges, particularly the "urge to breathe" (UTB), which can be uncomfortable and is triggered by rising carbon dioxide levels in the body rather than falling oxygen levels.

The author discusses the importance of managing UTB and the pressure experienced at depth. Freedivers must learn to equalize pressure in their bodies to avoid injury and must also adopt a relaxed mindset to enjoy the freefall experience. Freediving is both a physical and mental journey, requiring an understanding and mastery of bodily sensations.

The text also highlights the emotional connections formed during freediving, as divers rely on each other for safety, creating trust and shared experiences. The author suggests that freediving fosters a unique form of embodiment that is essential to being human.

Finally, the author reflects on the challenges of translating the freediving experience to non-human entities and concludes that while freediving is a valuable tool for understanding humanity, it is not the only way to appreciate our nature. The post concludes by acknowledging the personal growth and emotional richness gained through the author's freediving experiences.

Summary of "On Labubu and the Hyperreal"

Labubu is a small, cute plush toy created by artist Kasing Lung in 2015, which gained popularity after being acquired by POP MART in 2019. The rise of Labubu coincided with the COVID-19 pandemic and a push for nostalgia among younger generations who were feeling lonely and isolated. Many adults, particularly in Gen Z, turn to Labubu as a comforting companion that represents childhood innocence amidst adult responsibilities.

POP MART markets Labubu alongside various other characters, and the toy's success is partly due to its strong presence on social media. Users share images and videos of Labubu in everyday activities, which helps foster a sense of community and allows owners to express themselves. Labubu serves not just as a toy but as a social accessory that communicates cultural relevance and personal identity.

The marketing strategy of Labubu includes limited edition releases and "mystery boxes," creating a cycle of excitement and addiction similar to gambling. Social media amplifies this effect, as sharing experiences related to Labubu contributes to its perceived value.

The phenomenon highlights the relationship between consumerism, social media, and personal identity. Labubu's role goes beyond being a simple toy; it reflects societal trends, addressing feelings of loneliness while simultaneously serving as a means for self-expression and social engagement.

AI Policy Summary

• Using AI tools, like language models, for coding is allowed, but contributors are responsible for their own code.
• Comments to maintainers must be written by humans. AI-generated comments may be hidden.
• When reporting issues or making pull requests, contributors must explain their work in their own words, not by copying AI responses.
• A human must oversee any AI-generated content; automated contributions are not permitted and may be rejected.
• If you use AI for context in comments, it should be quoted and explained in your own words.
• AI can help non-native English speakers, but ensure the final comments reflect your own voice. For translations, write in your native language and quote the AI translation.
• This policy is based on a previous AI policy by uv.

The writer is using a throwaway account because they're concerned about their job security. They've heard from a friend that they might be laid off soon. In response, they're trying to apply for new jobs but feel that applying online is ineffective due to competition and fake job postings. They are asking for advice on how to find work now, wondering if the best approach is to reach out to friends and former coworkers for help with their job search.

GitHub offers a developer newsletter that provides tips, technical guides, and best practices. You can subscribe to receive this information twice a month directly in your inbox.

TinyCld is a simple, self-hosted mail server that can be set up quickly using Docker. In just about 15 minutes, you can have a functioning mail server with secure HTTPS. It runs in one Docker container and is free for organizations. Once installed, your team's mail server will be accessible at https://your-domain.com/.

Software vulnerabilities are a major security issue, with nearly 50,000 reported in 2025. While Large Language Models (LLMs) can help detect these vulnerabilities, there are three main challenges:

1. LLMs often produce false positives and cannot reliably verify findings.
2. Current methods for locating vulnerabilities either lack detail or context.
3. They struggle to analyze complex vulnerabilities that depend on multiple functions.

To tackle these problems, a new system called FuzzingBrain V2 was developed, which includes:

1. Automated vulnerability analysis that guarantees reproducibility through Google's OSS-Fuzz.
2. A new method for accurately locating vulnerabilities using control-flow abstraction.
3. Enhanced function analysis that improves coverage while managing resources.
4. Tools for both static and dynamic analysis that better understand complex vulnerabilities.

In tests, FuzzingBrain V2 achieved a 90% detection rate, identifying 36 out of 40 vulnerabilities. In real-world use, it found 29 zero-day vulnerabilities in 12 open-source projects, all of which were confirmed and fixed, with two receiving CVE IDs.

The provided text appears to be a corrupted or encoded data stream, making it difficult to extract coherent information or summarize it meaningfully. It contains a series of symbols and characters that do not convey a clear message or idea. If you have a specific topic or context you want to discuss, please provide a more structured text or clarify your request.

No summary available.