Meta is turning private AI chats into public content without many users realizing it. The Mozilla community is urging Meta to stop this and implement stronger privacy protections. They are calling for:

1. All AI interactions to be private by default, with public sharing only allowed if users explicitly agree.
2. Transparency about how many users have shared private information unknowingly.
3. A simple opt-out system for all Meta platforms to protect user data from being used for AI training.
4. Notifications to users whose private conversations may have been made public, allowing them to delete their content permanently.

The community believes people should know when they are speaking publicly, especially if they think it's private. They invite others to support their demand for better privacy measures from Meta.

Repository backups are essential for disaster recovery, but as repositories increase in size, making reliable backups becomes harder. For instance, our own Rails repository took 48 hours to back up, which impacted performance and backup frequency.

We identified the problem as an outdated Git function that had poor scalability due to its complex algorithm. By changing this function, we drastically reduced backup times, leading to lower costs and safer, more scalable backup strategies.

Challenges with large backups include:

• Long backup times that complicate scheduling.
• High resource usage that can disrupt other operations.
• Increased risk of failure due to lengthy processes.
• Potential for invalid backups if the repository changes during the backup.

We discovered that the Git command for creating backups, git bundle create, was inefficient because it processed references using a slow method that worsened as the number of references grew. By analyzing the command's performance, we pinpointed the bottleneck and improved it by using a more efficient mapping system instead of nested loops.

This change reduced our backup times from 48 hours to just 41 minutes for our largest repository. Benefits include:

• Faster, reliable backups that fit into regular schedules without disrupting work.
• Enhanced recovery times, reducing the risk of losing data in emergencies.
• Lower server resource consumption, resulting in cost savings.

All GitLab customers can now take advantage of these improvements without needing to change their configuration. This enhancement not only benefits GitLab users but also contributes to the broader Git community. We continue to work on enhancing our systems for better performance and scalability.

Odyc.js is a simple JavaScript library that allows you to create video games without needing any programming skills. You can use it to make your own games and explore examples in a gallery.

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Summary of "A Masochist’s Guide to Web Development"

This guide details the author's experience converting a complex C program into a web application using WebAssembly (WASM) and Emscripten. Key points include:

1. Purpose: The author aimed to create a web app for a Rubik's cube solver, highlighting the challenges and learning process involved in web development, particularly for those familiar with C/C++.

2. WebAssembly: WASM allows high-performance applications to run in browsers, providing better speed than JavaScript. It is supported by all major browsers and enables developers to port C/C++ code for web use.

3. Setup Requirements: To follow the tutorial, users need a working installation of Emscripten and a web server. The author provides a simple "Hello World" example, demonstrating how to compile C code to WASM and run it in a browser.

4. Building Libraries: The author explains how to create and export functions from C libraries to be used in JavaScript. This includes handling asynchronous operations and using callbacks.

5. Multithreading: The guide covers how to implement multithreading in web applications, which is useful for performance, especially in computational tasks like prime number counting.

6. Web Workers: The author discusses using web workers to keep the main thread responsive when performing heavy computations.

7. Persistent Storage: The tutorial explains how to use IndexedDB for storing data persistently in the browser, allowing for faster access in future sessions.

8. Challenges and Abstractions: The author reflects on the complexities of web development, noting that while Emscripten simplifies some aspects, developers must still understand underlying web technologies.

9. Conclusion: The experience was challenging but rewarding, providing valuable insights into web development with C/C++. The author encourages readers to embrace the learning process and highlights the importance of understanding the systems they work with.

This guide combines practical examples with personal reflections to help C/C++ developers transition to web development.

The text discusses the legacy of Bell Labs, a renowned research institution known for its innovative contributions, such as the invention of the transistor and advancements in various fields. It highlights how Bell Labs thrived under leaders like Alexander Graham Bell and Mervin Kelly, who fostered an environment of creativity by allowing researchers the freedom to explore and innovate without micromanagement.

Despite its historical success, the narrative suggests that modern research environments, influenced by metrics and accountability, hinder creativity and innovation. It contrasts the open-ended support Bell Labs provided to its researchers with today's academic culture, where scientists spend more time on paperwork than on actual research. This shift has made it difficult for young scientists to lead their own labs and has stifled groundbreaking work.

The author argues that to recreate the success of Bell Labs, organizations need to prioritize giving talented individuals autonomy and the space to explore ideas without immediate pressures for productivity. Finally, the text expresses hope that new initiatives, like those from certain venture capital firms, can mimic the nurturing atmosphere of Bell Labs and encourage innovative thinking.

Summary of "FreeTimeGS: Free Gaussian Primitives at Anytime Anywhere for Dynamic Scene Reconstruction"

This paper, presented at CVPR 2025, introduces FreeTimeGS, a new method for creating dynamic 3D scenes with complex motions in real-time. Previous approaches struggled with optimizing deformation fields, which made it hard to accurately model such scenes. FreeTimeGS uses a flexible 4D representation that allows Gaussian primitives to exist at any time and place. Each Gaussian has a motion function that helps it move over time, reducing redundancy in the scene.

The method improves the rendering quality significantly compared to recent techniques. The paper details how they optimize the representation using a 4D regularization loss and rendering loss to reconstruct scenes from multiple video views. Demonstrations and comparisons with other methods are included, and the code will be made available for others to use.

The work was done by a team from Zhejiang University and Geely Automobile Research Institute, with equal contributions from several authors.

The article discusses the idea of managing shell history, based on Simon Tatham's practice of disabling the history file in his shell by using the command unset HISTFILE. This allows him to keep his command history short-term and localized within a single session, avoiding the clutter of failed attempts.

Instead of relying on the history file, he saves valuable commands in other ways, like functions in his .bashrc or notes. This approach helps him keep only the working versions of commands and discard the mistakes.

The author contrasts this with their own practice of keeping a long history in zsh, where they save nearly 10,000 commands. They acknowledge the benefit of not saving failed commands, which can take up unnecessary space and cause confusion later.

To help manage their history, the author created a function called smite, which allows users to easily delete commands from their history. This function can display the history in a user-friendly way, enabling the selection and removal of multiple commands at once.

In summary, the article encourages readers to think about how they manage their shell history and consider improvements to make it more useful and less cluttered.

The author encountered an error while working on a Rust project, specifically a "Too many open files" error. This happened when running tests with cargo test, leading to all tests failing. The error indicated that the program exceeded the limit for open file descriptors, which are integers used by the operating system to track open files and other resources.

In Unix systems, file descriptors can represent various types of resources, including regular files, directories, pipes, sockets, and devices. Each process has a limit on how many file descriptors it can open at once. On macOS, the maximum number of file descriptors is 245,760 across the system, while each process can have a maximum of 122,880 open. The "soft" limit, which is the default for user processes, was set to 256 in the author's case.

To troubleshoot the issue, the author created a script to monitor the number of open file descriptors while running the tests. It was observed that the number of open files reached 237 before tests failed, close to the soft limit. The solution was to increase the soft limit using the ulimit command, raising it from 256 to 8192. This change allowed the tests to run successfully without errors.

The experience taught the author about file descriptors and how to manage them in Unix-like systems, providing a useful lesson for future projects.

No summary available.

Summary:

Sandia National Labs has launched a new supercomputer called SpiNNaker 2, designed to mimic the human brain's neural structure without using traditional GPUs or internal storage. Developed in collaboration with SpiNNcloud, this system can simulate 150 to 180 million neurons and is one of the top brain-inspired platforms globally.

The SpiNNaker 2 features a unique architecture with 48 chips per server board, each containing 152 processing cores. It utilizes a high-speed communication system to operate efficiently, storing data in fast SRAM and DRAM rather than on disks. The supercomputer is part of a larger effort funded by the NNSA to enhance the U.S.'s nuclear deterrence capabilities through advanced neuromorphic computing.

The system has a total of 175,000 cores and connects to existing high-performance computing systems, making it suitable for complex simulations and computations needed for national security applications. Its design allows for greater energy efficiency compared to traditional GPU systems.

The French court has ordered major VPN providers, including NordVPN, CyberGhost, Surfshark, ExpressVPN, and ProtonVPN, to block access to about 200 pirate website domains. This decision follows a legal action by Canal+ Group, which owns rights to broadcast various sports events. They argued that VPN users were accessing illegal streams of football and rugby matches.

French law (Article L. 333-10 of the Sport Code) allows rightsholders to request blocking measures against websites that infringe on their rights. Initially, this applied to local internet service providers (ISPs), but it has now extended to VPNs, which the court ruled are intermediaries capable of helping reduce piracy.

Despite objections from the VPN companies regarding jurisdiction and applicability of the law, the court dismissed these claims. It stated that VPNs must take action to prevent access to the specified pirate sites from French territory, including overseas regions. The blocking measures must be implemented within three days, and the costs will be shared between the parties involved.

Many of the blocked websites were already under restrictions by French ISPs due to previous piracy violations. The decision represents a significant step in the fight against online piracy in France.

Summary of "Small Programs and Languages"

Dave's article discusses the appeal and significance of tiny programming languages and small programs. He highlights that smaller codebases, such as a 25-line JavaScript library or a 46-byte Forth program, are easier to understand and less intimidating than larger ones. These tiny programs can reveal fundamental truths about programming concepts and encourage curiosity.

The article mentions various small languages like Forth, Lisp, and Tcl, which offer powerful capabilities despite their simplicity. Lua is noted for its compact core language, and even languages like C and JavaScript have relatively small core elements.

Dave emphasizes that small programming environments promote experimentation and provide a sense of control. He cites authors who describe the comfort and fascination with miniatures, suggesting that small things allow for manageable learning and mastery over complex topics. Overall, tiny programs and languages are not just enjoyable but also meaningful, demonstrating the beauty of simplicity in coding.

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On June 5, 2025, a content creator reported receiving a second community guidelines violation from YouTube for a video about using LibreELEC on a Raspberry Pi 5 for 4K video playback. Despite not promoting any illegal tools, the video was removed for allegedly promoting "dangerous or harmful content." The creator emphasized their commitment to legal media consumption, having purchased physical media for decades and only using legally acquired content on their network-attached storage (NAS).

This isn't the first issue; the creator previously faced a strike for demonstrating Jellyfin, but their appeal was quickly granted. They believed their latest case would be similar since the video had over a million views and had been online for over a year without issues. However, their appeal was denied, with the reviewer claiming that self-hosting media is harmful.

In response, the creator re-uploaded the video to the Internet Archive and Floatplane for subscribers. They also discussed the challenges of content creation on alternative platforms like Peertube, which currently lack the audience size and financial sustainability of YouTube. The creator expressed gratitude for their supporters on Patreon and other platforms, but acknowledged that YouTube's advertising revenue has been crucial for funding their work.

They noted concerns about YouTube's new AI features that summarize videos, potentially affecting creators' visibility. The post concluded with comments from various users discussing issues related to copyright, content creation, and the challenges faced by creators on platforms like YouTube.

The article discusses the author's experience creating a solution for sending DTMF (Dual-tone multi-frequency) signals during phone calls on Android devices, particularly for an open-source digital assistant called LifeCompanion. This assistant is designed to help individuals with disabilities and can be extended through plugins.

Key Points:

1. Problem Overview: The author needed to implement DTMF input in a communication plugin for LifeCompanion, but the existing Android APIs required the app to be the default phone app, which was impractical due to time constraints.

2. Understanding DTMF: DTMF is used during phone calls for inputting numbers or codes, but the plugin's original developers did not include this feature.

3. Initial Attempts: The author attempted to use the playDtmfTone() method from the Android API but found it unusable without default phone app status. They explored various documentation and community forums but found no viable solution.

4. Accessibility Services: The breakthrough came from using Android's accessibility services, which can simulate button presses on the phone's screen. This approach involved detecting when the call screen was active and opening the keypad to send the DTMF tones.

5. Implementation: The author created an AccessibilityService that listens for accessibility events, checks if the call screen is active, and interacts with the keypad to send the desired DTMF input.

6. Challenges and Improvements: The initial implementation had issues like flickering keypads and unreliable button presses. The author refined the logic to ensure the keypad remained open during input and improved the detection of dialer apps.

7. Final Outcome: After multiple iterations and improvements, the solution enabled the assistant to send DTMF tones effectively, despite the convoluted process due to the lack of a standard API for this function.

The author reflects on the frustrations of implementing such a basic feature in Android, highlighting the challenges developers face when working with accessibility services.

Summary: Setting Up a Cute Framework Project with CMake

The Cute Framework is a C/C++ tool for creating 2D games, and it allows developers to use Swift for game logic. This guide outlines how to set up a Cute Framework project using CMake.

Prerequisites:

• Install Swift (preferably version 6 or later).
• Install CMake (version 4.0 or later).
• Install Ninja (needed for building Swift with CMake).

Project Setup:

1. Create a new directory for your game project and navigate into it.
2. Set up the following folder structure:
   • src for Swift source files
   • include for C headers
   • Create CMakeLists.txt for project configuration.
   • Create src/main.swift for your main Swift code.
   • Create include/shim.h and include/module.modulemap for Swift interoperability with C.

CMake Configuration:

• Define the project, set languages (C, C++, Swift), and specify your source files.
• Use FetchContent to include the Cute Framework as a dependency.
• Create an executable target linked with the Cute Framework.

Swift Interoperability:

• In shim.h, include the Cute Framework header.
• In module.modulemap, define how to import the C header for Swift.

Writing Your Game Logic:

• In main.swift, write code to create a window and a spinning sprite using the Cute Framework.

Building the Project:

• Create a build directory, configure the project using CMake with Ninja, and build the project.
• Run the executable to launch your game.

You now have a functioning Cute Framework project set up to develop your game using Swift, taking advantage of C/C++ performance for rendering. For further exploration, check the documentation and join the Cute Framework Discord for support.

Debbie Marr, CEO of AheadComputing, co-founded the startup after spending over 30 years at Intel, where she helped develop microprocessors. Now, with a team of former Intel employees, AheadComputing aims to create a new type of microprocessor using an open architecture called RISC-V, which allows for more efficient and customizable designs without licensing fees.

Founded a year ago, AheadComputing is positioned to disrupt the traditional semiconductor industry, which Intel has dominated for decades. The company believes that the future of microprocessors lies in open standards, which can lead to more innovation and competition. They have already raised $22 million in funding and are gaining attention in the tech industry.

As Intel faces challenges and job cuts, new startups like AheadComputing are emerging in Oregon, aiming to keep the region relevant in the evolving semiconductor landscape. The founders are excited about the opportunity to work more dynamically and quickly than they could within a large corporation.

Summary of Web Workbench

There are two instances of the web workbench:

• Live URL: lammpee.de
• Beta URL: beta.lammpee.de

You can use specific GET parameters in the URL to change settings:

• ?no-boot: Disables the boot sequence.
• ?no-webdos: Disables the webdos sequence.
• ?no-cloud-storage: Disables cloud storage.
• ?start-command: Sets an initial command after boot.
• ?no-disk: Shows a floppy disk hint.

Example URL:

https://lammpee.de/?no-boot&no-webdos&start-command=execute+%22DF2:Synthesizer.app%22

Available Programs:

• Clock: Open Clock
• Calculator: Open Calculator
• Cloud: Open Cloud
• Document Editor: Open Document Editor
• Document Reader: Open Document Reader
• Say: Open Say
• Guestbook: Open Guestbook
• Web Painting: Open Web Painting
• Web Basic: Open Web Basic
• Synthesizer: Open Synthesizer
• Moon City: Open Moon City

Summary of TigerBeetle Overview and Testing Results

1. Background TigerBeetle is a specialized database designed for double-entry accounting, focusing on safety and speed. It uses a consensus protocol called Viewstamped Replication (VR) to ensure strong consistency for financial transactions, making it suitable for areas like banking and trading. TigerBeetle is optimized for high transaction volumes and operates on a single-node basis for writes, using techniques like batching and hardware optimizations to enhance performance.

2. Fault Tolerance TigerBeetle emphasizes fault tolerance by addressing various potential issues like memory errors, process crashes, and network problems. It ensures data safety even if only one replica maintains a record. Testing for faults is rigorous, employing deterministic simulations to verify system behavior under various error conditions.

3. Data Model and Operations TigerBeetle's data model is tailored to double-entry bookkeeping, storing accounts and transfers with fixed-size, immutable records. Operations are atomic, meaning that a batch of requests either fully succeeds or fails. Client requests are handled in batches of up to 8190 events, ensuring strong serializability.

4. Testing Results A comprehensive test suite revealed several issues and improvements in TigerBeetle:

• Timeout Behavior: Requests do not time out, which can lead to indefinite failures if a node is unresponsive.
• Client Crashes: There were crashes related to uninitialized memory access and session evictions, which have been addressed in updates.
• Elevated Latencies: Latency spikes occurred when a single node failed, prompting design changes to improve recovery and performance during such events.
• Missing Query Results: Bugs led to incomplete results for certain queries, which have since been fixed.

5. Performance and Safety Despite some performance issues, TigerBeetle maintains strong safety guarantees, successfully handling various faults without compromising data integrity. The architecture supports robust operations, but improvements are still needed in error handling and node recovery processes.

6. Future Work Plans include enhancing testing for upgrades, refining the error representation in clients, and developing a safer recovery method for failed nodes. Continuous improvements in response to testing feedback are expected to enhance TigerBeetle's reliability and performance.

Recommendation: Users are encouraged to upgrade to the latest version (0.16.43) to benefit from the fixes and improvements discussed.

No summary available.

No summary available.

The Coleco Adam computer was launched in 1983 by toy company Coleco as a competitor to the Commodore 64 in the home computer market. Despite initial excitement, the Adam failed to meet expectations and was discontinued by 1985.

Key points include:

• Coleco, known for its successful toys and the Coleco Vision game console, aimed to enter the computer market with the Adam, which had features like a full keyboard, tape storage, and bundled software.
• The Adam faced production issues, leading to high prices and delays. It was initially priced at $525 but rose to $725 due to these problems.
• Coleco planned to sell 500,000 units in 1983 but only produced about 100,000, with a high defect rate reported by retailers.
• The Adam's storage system was faster than competitors but flawed, and its printer had design issues, including being too loud and slow.
• By the time the Adam was released, Commodore had resolved its supply issues and was selling well, while Coleco struggled to keep up.
• The Adam's failure cost Coleco nearly $50 million, leading to its discontinuation and contributing to the company's eventual bankruptcy in 1988.

In hindsight, if Coleco had successfully delivered the Adam and fixed its issues, it might have changed the computer industry landscape. The Adam remains a topic of interest in retro computing discussions, remembered as one of the 1980s' biggest flops.

No summary available.

Summary of Tokasaurus: An LLM Inference Engine for High-Throughput Workloads

What is Tokasaurus? Tokasaurus is a new inference engine for large language models (LLMs) designed to handle high-throughput tasks efficiently. It has been developed by a team from Stanford University.

Key Features:

1. Optimized for Throughput: Tokasaurus is built to process large batches of sequences quickly, which is crucial for tasks that require processing many inputs rather than focusing on the speed of individual responses.
2. Performance: In tests, Tokasaurus has been shown to outperform existing engines like vLLM and SGLang by more than three times on specific benchmarks.

Optimizations for Small Models:

• Low CPU Overhead: Tokasaurus reduces the workload on CPUs by making many tasks asynchronous and adaptive, which helps maintain a continuous flow of data to the GPU.
• Dynamic Prefix Sharing: It identifies and utilizes shared prefixes in input sequences to enhance efficiency, especially beneficial for small models that rely heavily on attention mechanisms.

Optimizations for Large Models:

• Pipeline Parallelism: For models that operate across multiple GPUs without fast interconnections, Tokasaurus uses a pipeline method to minimize communication delays, significantly boosting throughput.
• Async Tensor Parallelism: For GPUs with NVLink, it allows for overlapping of computations and communication, enhancing performance with larger batch sizes.

Getting Started: Tokasaurus is available on GitHub and can be installed via pip. It currently supports various model families and allows for flexible configurations in data processing.

Conclusion: Tokasaurus aims to improve the efficiency of running LLMs, making it a valuable tool for researchers and developers looking to optimize their use of language models in high-throughput scenarios.

No summary available.

No summary available.

py-pglite Overview

py-pglite is a Python testing library that allows you to use PostgreSQL features in your tests without needing a full PostgreSQL installation. Here are the key points:

Benefits:

• Fast Performance: Uses in-memory PostgreSQL for quick test execution.
• Easy Setup: No PostgreSQL installation required—only Node.js is needed.
• Python Friendly: Works well with SQLAlchemy and SQLModel.
• Isolated Tests: Each test gets its own separate database.
• Full Compatibility: Supports true PostgreSQL features.
• Easy Integration: Comes with ready-to-use fixtures for pytest.

Installation:

• Basic: pip install py-pglite
• For SQLModel: pip install "py-pglite[sqlmodel]"
• For FastAPI: pip install "py-pglite[fastapi]"
• For development: pip install "py-pglite[dev]"

Requirements:

• Python 3.10 or higher
• Node.js 20 or higher
• SQLAlchemy 2.0 or higher

Key Features:

• Provides pytest fixtures for database sessions and engine.
• Automatic management of the database lifecycle and cleanup.
• Configuration options for timeout, logging, and socket paths.
• Utility functions for database operations, such as cleaning data and creating schemas.

Usage Examples:

• Basic Test: You can define models and run tests to create and query users.
• FastAPI Integration: Easily integrate with FastAPI for endpoint testing.
• Complex Operations: Supports testing of more intricate database interactions.

Contribution and License:

• Contributions are welcome, and the library is licensed under Apache 2.0.

Best Practices:

• Use multiple database sessions with the same engine for concurrent connections.
• Utilize provided fixtures for efficient testing and cleanup.

This library is ideal for developers looking to streamline their testing process with PostgreSQL capabilities in Python.

The text discusses the development of an APL (A Programming Language) interpreter written in Haskell. Here are the key points:

1. APL Overview: APL is an array programming language that uses arrays as its only data type. Its syntax is compact and expressive, using single Unicode symbols for built-in functions, which encourages higher-level problem-solving.

2. Haskell as a Language: The author initially aimed to explore APL but found Haskell more challenging. Haskell's strengths include elegant parsing and function composition, but working with state and performance can be difficult.

3. Interpreter Structure: The interpreter follows the typical structure of reading input, tokenizing it, parsing it into a syntax tree, evaluating the tree, and printing results. The author chose to write the parser from scratch to gain a deeper understanding.

4. Parsing Challenges: The parser, initially context-free, had to evolve to handle APL's requirements, including the need for context (global variable values). The author implemented various functions to match tokens and parsed structures.

5. Refactoring: The parser underwent multiple versions to improve its design. The final version took advantage of Haskell's monads and applicative functors to enhance functionality and reduce complexity.

6. Evaluation of Functions: The evaluation process for functions in APL is straightforward but required careful handling of state and potential side effects. The interpreter allows functions to be treated as first-class citizens.

7. Comparisons to Dyalog APL: The author aimed to mimic Dyalog APL (a modern APL implementation) in terms of syntax and behavior, leading to challenges in matching output and handling edge cases.

8. Haskell's Strengths and Weaknesses: The author appreciates Haskell's compiler guarantees and powerful libraries but notes the steep learning curve, especially with functional programming concepts. Debugging can be cumbersome due to lazy evaluation, which complicates error tracing.

9. Conclusion: The project provided significant learning experiences in both APL and Haskell, highlighting the complexities of implementing an interpreter and the intricacies of functional programming.

Overall, the text chronicles the journey of building an APL interpreter while navigating the challenges and advantages of using Haskell.

Summary: What Developers Need to Know About SCIM

SCIM (System for Cross-domain Identity Management) is a standard that helps companies manage user access to various software applications. In large organizations, employees use many different software tools, and it's crucial to control who can access what to ensure security and compliance.

Key Points:

1. Identity Providers (IDPs): Companies use IDPs like Entra, Okta, or OneLogin to manage employee access. These tools maintain lists of users and their permissions.

2. Communication with Other Software: IDPs need to communicate changes such as adding new users, updating user information, or removing users. SCIM standardizes this communication, making it easier for different software systems to integrate.

3. SCIM's Role: SCIM simplifies the process of matching user data between systems through standardized JSON formats for Create, Read, Update, and Delete (CRUD) operations.

4. Common Misconceptions:

   • SCIM is not directly related to compliance or data retention.
   • It does not require major changes to existing software or session management.
   • Real-time updates are not necessary; periodic updates are usually acceptable.

5. Technical Implementation: SCIM uses standard HTTP methods to perform operations. The customer’s IDP acts as the client, sending requests to the software you develop, which acts as the server. Authentication is typically done using bearer tokens.

6. Understanding Resources: In SCIM, the main focus is on users and groups. Operations like creating, updating, or deleting users are managed through specific HTTP requests.

7. Challenges with SCIM: While SCIM is conceptually straightforward, implementation can be complicated due to variations in how different IDPs follow the standard. Some may not comply fully, leading to potential issues.

8. Recommendation: Building SCIM from scratch is not advisable. It’s often better to use existing solutions to avoid the complexities and maintenance burdens associated with SCIM.

In summary, SCIM is a useful standard for managing user identities across applications, but developers should be aware of its complexities and consider using established solutions rather than creating their own.

The article discusses the performance of the AMD Radeon 8050S graphics in Linux, specifically in the Ryzen AI Max PRO 390 processor. This new graphics card has 32 graphics cores and a clock speed of 2.8GHz, making it significantly more powerful than the previous Radeon 890M, which only had 16 cores.

Though the Radeon 8050S is a step below the flagship Radeon 8060S, it can still support high resolutions up to 8K and multiple displays. The graphics performed well on Linux distributions like Ubuntu 25.04 and Fedora 42 without any major issues.

The benchmarks compare the Radeon 8050S with other integrated graphics from Intel and AMD, including various models of Ryzen and Core processors, all tested on Ubuntu 25.04. Different performance profiles (balanced, low-power, and performance) were used to evaluate the graphics under various conditions.

Overall, the Radeon 8050S offers a solid performance for integrated graphics in Linux, making it a competitive option in its category.

A new store called Amazing Binz opened in West Philadelphia, replacing a vintage shop that had closed. The store features bins filled with various consumer goods—often unsold or returned items from major retailers like Target and Amazon—offered at progressively lower prices throughout the week, starting at $10 on Fridays and dropping to $1 on Wednesdays. This pricing strategy attracts a diverse crowd, including resellers and bargain hunters.

The store's owner, Ahmed, sources inventory through "reverse logistics," benefiting from the increasing number of returns in the retail industry. The concept of bin stores has gained popularity, with thousands emerging across the U.S., especially during and after the pandemic.

However, opinions about Amazing Binz are mixed within the community. Some see it as a fun, affordable shopping option, while others criticize it as a symbol of consumerism and gentrification. Concerns about the store's sustainability have arisen, as rising costs and competition threaten its viability. Despite this, there remains a sense of community and excitement around the unique shopping experience it offers, even as the store faces challenges in maintaining its inventory and profitability.

Claude Composer CLI Summary

Claude Composer CLI is a tool designed to improve the use of Claude Code through automation and better user experience. Here are the main features and instructions:

Key Features:

• Reduced Interruptions: Automatically manages permission dialogs based on set rules.
• Flexible Control: Create rules that dictate which actions are allowed automatically.
• Tool Management: Define which tools Claude can access.
• Enhanced Visibility: System notifications keep users updated.

Quick Start Guide:

1. Installation:

   • Use one of the following commands:
     • npm install -g claude-composer
     • yarn global add claude-composer
     • pnpm add -g claude-composer

2. Set Up Configuration:

   • Initialize with claude-composer cc-init.

3. Run the Tool:

   • Start with default settings using claude-composer.
   • Use specific rulesets with:
     • claude-composer --ruleset internal:yolo (auto-accept prompts)
     • claude-composer --ruleset internal:safe (manual confirmation)

Configuration:

• Create a configuration file using claude-composer cc-init.
• You can set global or project-specific configurations.
• Example configuration can include rulesets, toolsets, and notification settings.

Command Line Options:

• You can specify rulesets and toolsets, manage notifications, and enable debugging options.

Development:

• Release management commands are provided for bug fixes, new features, and breaking changes.

For detailed information on configuration, rulesets, and environment variables, refer to the respective documentation files.

Apple has advised Australia not to follow the European Union's lead in allowing sideloading of apps on iPhones. Sideloading means downloading apps from sources other than the official app store. Apple believes this could create security risks and harm user privacy.

Summary of Aether CMS

Aether is a lightweight content management system (CMS) designed for simplicity and speed. It avoids the complexity and bloat of traditional platforms like WordPress, focusing on a clean, modular architecture. The creator's journey began with WordPress and evolved through building simpler tools, leading to Aether, which is built on four core modules.

Key Features:

• File-Based Storage: Aether uses Markdown files for content, making it easy to edit and version control without databases.
• Speed: It generates static sites that load quickly, with no server-side delays.
• User-Friendly: The interface allows for easy content creation with live previews and straightforward publishing.
• Flexible Themes: Custom themes can be created simply using HTML, CSS, and JavaScript without complex setups.
• Versatile Use Cases: Aether can handle various types of websites, including blogs, documentation, marketing sites, and portfolios.

Aether is built for both developers and content creators, striking a balance between flexibility and simplicity. It runs on Node.js and can be set up quickly. Future updates will include features like scheduled publishing, advanced user permissions, and SEO tools, but it already meets the needs of its users effectively.

The CMS allows users to maintain control of their content and is designed to be user-friendly and efficient.

This text provides various pieces of information related to a public administration portal. Key points include:

• Details about personal data processing and cookies.
• Media contact information.
• A site map for navigation.
• An accessibility statement.
• A user guide.
• Contact email for inquiries: [email protected].
• Updates on Czech eGovernment.

The information is provided in accordance with law No. 106/1999 on access to information. The version of the portal mentioned is 4.2.200.

The author discusses their experience creating a search library called SearchArray, which adds full-text search capabilities to Pandas. They compared SearchArray's performance to Elasticsearch using the BEIR benchmark, specifically looking at the MSMarco Passage Retrieval corpus. The results showed that SearchArray performed worse in several metrics, including relevance and throughput.

Key points include:

• Comparison Metrics: SearchArray scored 0.225 in NDCG@10 and had lower search and indexing throughput compared to Elasticsearch.
• BM25 Scoring: SearchArray uses a straightforward BM25 scoring method, while Elasticsearch employs optimizations like the Weak-AND (WAND) algorithm to improve efficiency in retrieving top results.
• Data Structure: Unlike traditional search engines, SearchArray uses a positional index with a roaring bitmap for phrase matching but lacks postings lists for efficient document retrieval.
• Caching: The author discusses the potential for caching certain calculations to speed up performance but notes the challenges in maintenance.
• Use Case: SearchArray is suited for prototyping and small datasets (under 10 million documents) rather than large-scale retrieval systems.

The author concludes by appreciating the work of professionals who develop large search engines, advocating for a better understanding of the trade-offs involved in search technology.

On June 5, 2025, VE3NEA launched a new Windows program called "SkyRoof". This software is designed for amateur radio enthusiasts, allowing them to track and receive signals from ham radio satellites. It works with devices like RTL-SDR, Airspy, and SDRplay.

SkyRoof provides real-time tracking of satellites, predicts their passes, and includes a sky map and a waterfall display for signals. It can demodulate various signal types (SSB, CW, FM) and automatically adjusts for Doppler effects. Additionally, it can connect to antenna rotators that are compatible with hamlib.

There is also a review video available on YouTube by Johnson's Techworld showcasing SkyRoof.

The text introduces a new tool called "ask-human mcp," designed to improve AI interactions by preventing it from making incorrect assumptions or "hallucinating." The creator, who founded Kallro, developed this tool to address frustrations experienced while using an AI tool called Cursor.

Key Points:

• Problem: AI sometimes provides incorrect information or makes false assumptions, leading to time wasted on fixing these mistakes.

• Solution: Ask-human mcp allows the AI to ask for help instead of guessing. When it encounters a problem, it sends a question to a designated "ask_human" server.

• Process:

  1. The AI raises its hand with a question.
  2. The question is recorded for a human to answer.
  3. Once the answer is provided, the AI continues its task.

• Benefits:

  • Easy installation with pip install ask-human-mcp.
  • Requires no configuration and works on multiple platforms.
  • Provides instant feedback and maintains a history of questions and answers for debugging.

Getting Started:

• Install with a simple command and follow setup instructions to integrate it with your AI system.

Overall, this tool aims to enhance the reliability of AI by allowing it to seek clarification rather than making potentially costly errors.

The text describes a video about the iSpindel, specifically focusing on the "Jeffrey 2.69" model. In the video, the creator demonstrates new features of this model, explains how to use a flat soldering technique, and shows how to balance the iSpindel to 25 degrees using a new method.

No summary available.

Summary: How to Build a Tech Tree

1. Definition of Technology: Technology is defined as knowledge created by humans for practical purposes, implemented in some physical form. This excludes ideas and art but includes tools, machines, and systems.

2. Heuristic for Discretization: Technologies must be categorized into distinct inventions or discoveries for a timeline. A technology should have its own Wikipedia page to be included in the tech tree, ensuring it represents significant innovations rather than minor tweaks.

3. Rules for Dating Technologies: Each technology must be assigned a date, which can be tricky. The preferred date is usually when a practical version was first created, but some dates are approximations based on historical evidence.

4. Purpose of the Tech Tree: The tech tree is designed to show the connections and evolution of technologies, helping to identify patterns and the historical context of inventions. It reflects how technologies build on one another over time, contrary to the notion of linear progress.

5. Historical Context: The tech tree aims to celebrate human creativity and technological advancement. It highlights unexpected connections between inventions, such as how the design of the revolver influenced the development of movie cameras.

6. Complexity Management: The tech tree provides a structured way to understand technological history, which has often been overlooked compared to political history. By visualizing these connections, it helps in comprehending the intricacies of technological development.

7. Encouraging Innovation: While the tech tree isn’t meant to predict future technologies, it offers perspective on past developments that could inspire future innovations.

8. Cultural Significance: The tech tree serves as a monument to human ingenuity, showing how various innovations are interrelated and have shaped our world.

In essence, building a tech tree not only organizes knowledge about technological advancements but also fosters a deeper understanding of their historical significance and interconnections.

Namerefs, introduced in Bash 4.0, are references or aliases for other variables. For example, if you have a variable var set to "meow" and create a nameref ref pointing to var, when you print ref, it shows "meow". If you change ref to "moo", var also updates to "moo". You can also use namerefs to reference specific elements in arrays.

A creative use of namerefs is shown with a temporary array tmp. This allows you to perform calculations and store the results in a way that can be dynamically accessed later. For instance, you can create a simple counter that increments a variable x within a loop, printing numbers from 0 to 9.

Another example uses namerefs to calculate Fibonacci numbers, allowing you to print the first ten numbers in the sequence.

Additionally, you can leverage dollar expansions with namerefs to create a clock that displays the current date and time in a specified format. The code continuously updates and prints the current date and time every second.

Overall, namerefs provide powerful capabilities in Bash scripting, enabling elegant and dynamic programming solutions.

If you use multiple instances of Claude Code, keeping your terminal organized can be tricky. When you have several tabs labeled "claude," it becomes hard to find the right one, especially when running commands with high permissions. This can lead to mistakes and confusion.

To solve this problem, you can set up your terminal to show custom titles for each instance. By adding a simple script to your ZSH configuration, you can change the terminal title to include the current folder and the word "Claude." This way, you can easily identify which tab is which.

Here’s a quick overview of the solution:

1. Modify your ~/.zshrc file to include a line that sources a custom script.
2. Create a script named claude-wrapper.zsh that sets the terminal title when you run Claude.
3. The script keeps resetting the title while Claude is running, so it doesn't change unexpectedly.
4. After you finish using Claude, the title is reset back to normal.

This setup makes it much easier to manage multiple Claude instances without losing track of them. Plus, you can ask Claude to help set it up!

No summary available.

Dreamstar is a new luxury overnight train startup aiming to revive the experience of elegant train travel between Los Angeles and San Francisco, a service last seen in the 1940s. Co-founders Joshua Dominic and Thomas Eastmond were inspired to create this service after frustrations with current travel options in the U.S. Dreamstar plans to offer all-bedroom accommodations, gourmet dining, and a focus on passenger comfort.

The company has secured agreements for track access with Union Pacific and aims to minimize stops for uninterrupted travel. Their plans include reducing carbon dioxide emissions significantly compared to flying. Ticket prices are expected to be competitive with similar travel options, and tickets will be available online.

Dreamstar is working on rebuilding existing train cars and has partnered with BMW Designworks for the design process. They anticipate starting service before the 2028 Olympics in Los Angeles and are currently securing funding from various investors. The company aims for efficient operations without the obligations that traditional rail operators face, focusing on financial sustainability and operational control.

The author reflects on their experiences at Google, sharing a critical perspective on the company and the broader implications of working in the tech industry.

1. Career Start: The author began their career at Google in 2007, a time when the company was celebrated for its innovative and progressive work culture, including perks like "20% time" for personal projects. However, they found themselves overworked and underappreciated, primarily fixing mundane bugs rather than engaging in exciting research.

2. Discontent: After realizing many employees felt similarly trapped, the author expressed their concerns internally, which led to backlash from management. They were labeled a "troublemaker" for questioning the company's culture of enforced happiness and transparency.

3. Corporate Jargon and Exclusion: The author created a bot to help colleagues understand corporate jargon but faced criticism for sharing information with temporary and part-time workers, who were treated as second-class employees within the company.

4. Awakening to Reality: As they navigated the corporate culture, the author experienced a shift in perspective, recognizing the disparity between full-time employees and the "precariat" (temporary workers). They became increasingly aware of the exploitative nature of corporate practices.

5. Surveillance and Control: The author reflected on the invasive surveillance culture at Google, which was evident in their work environment. Their aspirations for relocation to Japan were dismissed, leading them to seek opportunities behind their boss's back, ultimately resulting in their termination.

6. Corporate Indifference: The author observed high-level managers laughing about layoffs during a crisis, highlighting the disconnect between corporate leaders and the impact of their decisions on employees' lives. This experience fueled their understanding of capitalism's inherent cruelty.

7. Political Awakening: Through their tenure at Google, the author became politically aware, understanding the exploitative nature of capitalism and the role of corporate power. They recognized that the perceived benefits of working at Google came at the expense of many others.

In summary, the author shares their journey from an idealistic employee to a critical observer of corporate culture, detailing the harsh realities of tech industry practices and their personal awakening to the broader implications of capitalism.

Summary of Dino Programming Language and Its Implementation

Introduction: Dino is a high-level programming language that incorporates features from scripting, functional, and object-oriented paradigms. It supports multi-precision integers, complex data structures, and various programming concepts like concurrency and exception handling.

History:

• Designed in 1993 for scripting in a Russian game company.
• Major updates occurred in 1998, 2002, 2007, and 2016.

Key Features:

1. Scripting Language: Similar to C, Dino is user-friendly and supports:

   • Multi-precision integers and extensible arrays.
   • Classes, functions, and fibers (for concurrency).
   • Exception handling and pattern matching.
   • Unicode support.

2. Data Structures:

   • Arrays and Associative Tables: These can hold various data types and allow for dynamic resizing and element deletion.

3. Functions: Supports first-class functions, anonymous functions, and closures.

4. Object Orientation: Classes in Dino act as functions with default public visibility. It provides a unique way of handling inheritance and traits.

5. Concurrency: Implementation uses green threads for efficient multitasking and includes a synchronization mechanism.

6. Pattern Matching: Allows for advanced data handling and simplifies code through syntax that matches various data structures.

7. Exception Handling: Built-in support for exceptions that can be caught and processed.

Implementation Details:

• Byte Code: Dino compiles code into byte code, which can be optimized for performance.
• Garbage Collection: Automatically manages memory to optimize resource use.
• JIT Compilation: Supports Just-In-Time compilation to enhance execution speed.

Performance: Dino has been benchmarked against other languages (like Python, Ruby, and Scala) and shows competitive performance across various tasks.

Future Directions:

• Enhancements in type checking and direct JIT compilation for faster execution.
• Ongoing improvements in portability and resource efficiency.

Availability: Dino is available on multiple platforms, including Linux, Windows (via CYGWIN), and macOS. More information and the source code can be found on its official website and GitHub repository.

In summary, Dino is a versatile programming language designed for high performance and ease of use, with ongoing development aimed at enhancing its capabilities and efficiency.

Summary of AlphaMeet Eleven v3:

AlphaMeet Eleven v3 is a powerful Text-to-Speech model that creates expressive and emotional speech. It offers a dynamic range of features, including:

• Expressive Speech: It allows for speech that conveys emotions and can be tailored with audio tags.
• Multi-Speaker Conversations: The model can generate natural-sounding dialogues between multiple speakers, making interactions feel more human-like.
• Language Support: It supports over 70 languages, enabling global communication.
• Discount Offer: There is an 80% discount available until June 2025 for self-serve users.
• Public API: A public API for Eleven v3 will be available soon, with early access options.

Overall, Eleven v3 is designed to produce high-quality, engaging audio using advanced technology that mimics human speech patterns and emotions.

The Screen Time Network API allows you to do three main things:

1. Check today's screen time for yourself or any public user.
2. View past screen time data for yourself or any public user.
3. Subscribe to updates about screen time for yourself or any public user.

You can easily get started using the API.

No summary available.

Summary of Local Network Access Proposal

This document outlines a proposal from the Chrome Secure Web and Network team, aimed at addressing security issues related to local network access by public websites. The proposal is still in the design phase and has not yet been approved for implementation.

Key Issues:

• Public websites can exploit users' browsers to access local network devices, posing security risks.
• An example is when a harmful website can attack local devices like printers through the user's browser.

Proposed Solution:

• Introduce a "local network access" permission that requires user consent before a website can access local network devices.
• This permission system aims to increase user control over local network access, moving away from previous methods that relied on complex preflight requests.

Goals:

1. Prevent exploitation of local devices from malicious websites.
2. Allow explicit communication between trusted public websites and local network devices when users consent.

Non-Goals:

• Avoid disrupting existing workflows that rely on public websites controlling local devices.
• The proposal does not aim to solve the HTTPS issues for local network access.

Use Cases:

1. Users without any local services should not face unexpected attempts by websites to access their devices.
2. Device manufacturers should have a straightforward method for users to set up devices via public websites.

Implementation Details:

• Requests to local networks will be blocked unless the site has received the appropriate permission from the user.
• The system organizes IP addresses into three categories: localhost (most private), private IP addresses (local network), and public IP addresses (accessible to everyone).

Permission Process:

• When a site tries to access a local device, the browser will check if permission has been granted. If not, it will prompt the user for consent.
• Users can deny permission, blocking the request, or accept it, allowing the request to proceed.

Security and Privacy Considerations:

• The proposal aims to mitigate risks by ensuring that no local network requests can occur without user consent.
• However, there are concerns about users potentially granting permissions without fully understanding the implications.

Conclusion:

The proposed local network access system is designed to enhance user control and security regarding how public websites interact with local network devices. Feedback is being solicited to refine this proposal before any implementation occurs.

The author, Lincoln Michel, discusses the often negative perception of adverbs in writing. He believes that the common advice to avoid adverbs is misguided. Adverbs are a legitimate part of language and can enhance writing when used thoughtfully. Michel references his earlier work defending adverbs and shares that he is currently using them creatively in his new novel, Metallic Realms.

He notes that many writers misuse adverbs, often repeating information already conveyed in the sentence. However, he argues that adverbs can effectively add depth to sentences when they change the meaning or provide new context. He emphasizes the importance of using adverbs intentionally, rather than reflexively, and acknowledges that writing is about finding the right balance and style. Ultimately, Michel encourages writers to embrace adverbs if they serve a purpose in their work.

Humans organize knowledge into simple categories that still preserve meaning, like grouping robins and blue jays as birds. This involves balancing detail and simplicity. Large Language Models (LLMs) have strong language skills, but it's unclear if they categorize information like humans do.

To explore this, researchers developed a new framework based on information theory to compare human categorization with LLMs. They found that while LLMs create broad categories that generally match human views, they often miss important subtle distinctions that humans understand. LLMs tend to focus on simplifying information too much, whereas humans value detail and context, even if it makes their categorization less efficient. These differences highlight how current AI systems differ from human thinking, providing insights on how to improve LLMs to align more with human-like understanding.

No summary available.

No summary available.

Social network X has updated its developer agreement to stop third parties from using its content for training large language models. The new rule states that developers cannot use X's API or content for this purpose. This change follows the acquisition of X by Elon Musk's AI company, xAI, which wants to protect its data from competitors.

Earlier in 2023, X had modified its privacy policy to allow the use of public data for AI training, and last October, it permitted third parties to do the same. Other platforms, like Reddit and The Browser Company, have also implemented similar restrictions against AI data scraping.

Summary of phptop:

phptop is a tool developed by Bearstech for monitoring PHP performance. It shows metrics like time (wallclock, user, and system CPU time) and memory usage for each query. It is easy to set up on a LAMP server with minimal resource requirements and only needs a simple change in the php.ini configuration.

Key Points:

• Compatible with PHP versions 5.2.0 and above, tested up to 8.2.
• Installation requires adding a line to php.ini and reloading the server.
• Provides detailed performance data for different URLs, including the number of hits, time taken, and memory usage.
• Can be used effectively in production environments without issues.

For more details, refer to the man page.

The author, Marco Giancotti, discusses his experiences with aphantasia, a condition where he cannot create mental images, and how it affects his memory, particularly his ability to recall personal experiences. He distinguishes between aphantasia and a related condition called Severely Deficient Autobiographical Memory (SDAM), which he believes he may have.

Here are the key points:

1. Aphantasia: Giancotti cannot form mental images, sounds, or sensations, which some people misinterpret as a significant disability. However, he feels this doesn’t hinder his success in life.

2. Memory Challenges: He struggles to "relive" past events and cannot easily recall specific memories or episodes from his life. His memories feel disorganized, similar to a file cabinet without labels.

3. Memory Voids: He describes "memory voids" where he knows facts about his past but lacks detailed recollections or emotional connections to those experiences. This is not due to trauma but rather a different way of processing memories.

4. Semantic vs. Episodic Memory: While his episodic memory is poor, his semantic (general knowledge) and spatial memory (awareness of places) are intact. He uses these to compensate for his lack of episodic memories.

5. Compensatory Strategies: Giancotti suggests that people with aphantasia or SDAM develop alternative cognitive strategies to navigate life, which can sometimes lead to strengths in understanding and reasoning.

6. Emotional Connection: He emphasizes that, despite not recalling specific memories, he retains emotional connections and insights from his experiences.

7. Positive Outlook: Giancotti views his conditions not as disabilities but as different ways of experiencing the world, which allow him to focus on the present and think rationally without being distracted by vivid memories.

In summary, Giancotti shares that while he cannot recall specific past events or form mental images, this does not significantly affect his life or emotional connections, and he finds value in his unique way of processing information.

The Trump administration used a flawed AI tool, created by a software engineer without healthcare experience, to identify Department of Veterans Affairs (VA) contracts to cancel. This tool, called "MUNCHABLE," inaccurately flagged over 2,000 contracts for cancellation, including vital services like cancer treatment maintenance and blood sample analysis.

The AI made significant errors, such as misreading contract values and suggesting unnecessary cuts without understanding the complexities of veterans' care. Experts criticized the use of AI for this purpose, stating it was inappropriate and that human oversight was necessary.

The engineer, Sahil Lavingia, acknowledged mistakes in his code and noted that the rushed timeline hindered thorough analysis. VA officials claimed the review process involved multiple staff checks, but many employees felt pressured to justify contracts quickly.

The administration aims to cut a substantial number of VA jobs while shifting some services in-house, raising concerns about potential impacts on veterans' care.

Overall, this situation highlights the risks of using AI for complex decision-making in critical areas like healthcare without proper expertise and context.

HyperDX Overview

HyperDX is a tool within the ClickStack suite that helps engineers quickly diagnose production issues by allowing easy searching and visualizing of logs and traces using ClickHouse, similar to Kibana.

Key Features:

• Combine logs, metrics, session replays, and traces in one platform.
• Works with existing ClickHouse schemas without needing a specific format.
• Fast searches and visualizations optimized for ClickHouse.
• Offers intuitive search options and supports SQL.
• Analyze anomalies and trends with ease.
• Simple alert setup and easy-to-use dashboards.
• Supports live log viewing and integrates with OpenTelemetry for performance monitoring.

Deployment:

• HyperDX can be deployed with ClickStack or ClickHouse Cloud.
• To set up, run a Docker command and access the UI at http://localhost:8080.
• Ensure to open necessary ports on your firewall if applicable.
• Recommended system requirements include at least 4GB of RAM and 2 CPU cores.

Instrumentation:

• To use HyperDX, instrument your application to send telemetry data. SDKs are available for various languages, including JavaScript, Python, and more.
• Compatible with OpenTelemetry for broader application support.

Community and Contributions:

• Contributions are encouraged through code submissions, feature requests, and documentation improvements.
• Feedback and engagement through issues and Discord are welcomed.

Mission: HyperDX aims to support engineers in delivering reliable software by providing accessible production telemetry tools, addressing common shortcomings in existing solutions, such as high costs and complexity.

Privacy: HyperDX collects anonymized usage data to improve the product but allows users to opt out.

License: HyperDX is licensed under the MIT license.

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No summary available.

At the re:publica internet conference, Digital Minister Karsten Wildberger emphasized the need for greater digital independence in Germany and Europe. He proposed that open standards and open-source software should guide digital development. Wildberger highlighted the importance of reducing reliance on major U.S. tech companies, noting that over 75% of European cloud data is controlled by them.

He also called for the creation of European digital payment systems to enhance security and ensure sensitive data remains within the EU. Additionally, Wildberger wants to improve digital administration and e-government services, and establish a federal IT security center to support secure digital services. His goals include making Germany an attractive location for startups in technology and AI by fostering innovation and creating a supportive environment.

Summary: Container Use for Coding Agents

Container Use allows coding agents to work in their own isolated environments, making it easier to manage multiple agents simultaneously. It is an open-source tool compatible with various agents like Claude Code and Cursor.

Key Features:

• Isolated Environments: Each agent operates in a separate container to avoid conflicts, allowing safe experimentation.
• Real-time Visibility: Users can track command history and logs to see what agents are doing.
• Direct Intervention: Users can access any agent's terminal to help if it gets stuck.
• Environment Control: Easy to review agent work with standard git commands.
• Universal Compatibility: Works with any agent or infrastructure without vendor lock-in.

Installation: To install, run make to build the tool, and make install to add it to your system's PATH.

Agent Integration: To use Container Use, you need to:

1. Add an MCP configuration for Container Use.
2. Optionally, set up rules for agents to use containerized environments.

Examples:

• hello_world.md: Runs a simple app on a local HTTP URL.
• parallel.md: Serves two versions of a hello world app.
• security.md: Checks for repository updates and vulnerabilities.

Monitoring Agents: You can watch your agents’ progress in real-time by running cu watch.

Note: The project is still in early development, so users should expect some rough edges and rapid updates.

No summary available.

In Switzerland, a proposed change to encryption laws could greatly affect VPN companies by increasing surveillance requirements. Companies would need to collect user information, threatening online privacy. Proton VPN and NymVPN, both Swiss-based, have stated they might leave Switzerland to protect user privacy.

Infomaniak, a Swiss cloud security company, surprisingly supports this law, arguing that it’s necessary to prevent anonymity, which they believe hinders justice. They claim that a balance must be found between privacy and security. However, many in the industry disagree, emphasizing that reputable VPNs protect user privacy without compromising anonymity.

Concerns also arise about metadata collection under the new law, which could allow tracking of users' activities without revealing the content of their communications. Critics warn this could endanger the privacy of many users, particularly activists and journalists who rely on VPNs for protection against censorship. The Swiss government's consultation on the law ended in May 2025, and the outcome is still pending.

No summary available.

The article discusses Amelia Earhart's ambitious and perilous attempts to fly around the world, highlighting her struggles and the influence of her husband, George Palmer Putnam.

Key points include:

1. Crash at Luke Field: During the initial leg of her round-the-world flight, Earhart crashed her plane in Hawaii but survived without serious injuries. This incident raised concerns about her readiness for such a challenging journey.

2. Pushing for Fame: Putnam, Earhart's husband and manager, was eager to capitalize on her fame, often pushing her to take risks for publicity. Friends felt he was exploiting her celebrity status.

3. Flight Experience: Although Earhart was known for her flying achievements, critics argued she lacked the necessary experience for a flight of this magnitude, especially after previous incidents and her reliance on less experienced navigators like Fred Noonan.

4. Preparations and Concerns: Despite the dangers of flying over vast oceans with inadequate navigation equipment, Putnam prioritized publicity over safety, leading to a lack of proper preparations for the journey.

5. Second Attempt: After repairing her plane, Earhart made a second attempt to circumnavigate the globe, facing numerous challenges, including equipment failures and personal issues with her crew.

6. Final Flight: During her last flight, after taking off with an overloaded plane, communication issues arose, and the plane eventually disappeared over the Pacific Ocean, with its location still unknown.

Overall, the article portrays Earhart as a pioneering aviator whose ambition and the pressures of fame ultimately led to her tragic end.

No summary available.

The text discusses the shortcomings of current generative AI models, particularly in the pursuit of Artificial General Intelligence (AGI). Key points include:

1. Misunderstanding of AGI: Many believe that recent advancements in AI indicate that AGI is close, but this view overlooks the deeper, embodied understanding required for true intelligence, which involves interacting with the physical world.

2. Limitations of Current Models: Current generative models, like large language models (LLMs), excel at tasks like language prediction but lack a genuine understanding of the world. They often rely on memorized rules rather than a true comprehension of physical reality.

3. Need for Physical Understanding: True AGI should be able to solve real-world problems (e.g., repairing a car) that require an understanding of physical interactions, something LLMs are not equipped to do.

4. Language and Understanding: The text critiques the idea that LLMs can learn about the world through language alone. It argues that language understanding is not merely about syntax but also involves semantics and pragmatics, which LLMs do not fully grasp.

5. Critique of Multimodal Approaches: The author argues against the multimodal approach to AGI, suggesting that it cannot effectively unite different forms of data (like text and images) for a cohesive understanding. A better approach would integrate these modalities naturally through interactions with the environment.

6. Emphasis on Structured Learning: The text stresses the importance of structured learning and human intuition in developing AGI, rather than relying solely on the brute force of scaling up models.

7. Conclusion: The author believes that to achieve true AGI, we must focus on how various cognitive processes can be unified and how they can learn from real-world experiences, rather than trying to piece together narrow intelligence models.

Overall, the text argues for a more integrated, embodied approach to building AGI that goes beyond current limitations in generative AI models.

No summary available.

Summary: Authentication with Axum

When building a website with user authentication, you often want to show different buttons (like "Profile" or "Login") depending on whether the user is signed in. This guide explains how to implement authentication using Axum and cookies.

1. Basic Structure: You start with a basic HTML layout that changes based on the user’s authentication status.

2. User Context: A Context struct is used to track if a user is authenticated. This context can be populated from user requests.

3. Using Cookies: Cookies are suggested as a simple way to handle authentication. They can be made secure with attributes like:

   • HttpOnly: Prevents JavaScript from accessing cookies (helps against XSS attacks).
   • Secure: Ensures cookies are sent only over HTTPS.
   • SameSite: Helps prevent CSRF attacks.
   • Expiration: Limits the cookie's lifetime to reduce misuse.

4. Login Process: A login endpoint is created to verify user credentials. If the login is successful, it generates two cookies: a short-lived JWT and a longer-lived refresh token.

5. Extractors: Axum extractors are utilized to fetch user data from cookies and manage authentication state during requests. A custom extractor can be created to handle JWT extraction from cookies.

6. Middleware: Middleware is introduced as a cleaner way to handle authentication logic. It can validate cookies, manage user context, and propagate cookie updates through requests and responses.

7. Multiple Middleware Layers: Middleware can be stacked, allowing for different levels of access control (e.g., public, authenticated, admin-only routes).

8. Implementation Example: The guide provides code examples showing how to implement middleware for user authentication, including handling JWT validation and refreshing tokens seamlessly without disrupting user requests.

In summary, using Axum for authentication involves setting up cookies, using extractors to manage user state, and implementing middleware for a flexible and robust authentication system.

StringFlux is a web-based tool that helps users transform and convert strings easily, similar to command line operations in Unix/Linux. It allows users to chain multiple operations for complex transformations, making it efficient for tasks like formatting JSON or encoding data.

Key features include:

• Transformation Chains: Users can combine several operations for advanced string modifications.
• Multiple Operations Supported: The tool can handle various formats, including JSON, Base64, XML, and CSV.
• Intuitive Interface: It offers easy navigation through recommended operations, search, and categorized options.
• Fix Broken JSON: StringFlux can repair common JSON errors.
• Share & Collaborate: Users can share their transformation chains with others via links.

Overall, StringFlux aims to save developers time and enhance their productivity with a user-friendly interface for string transformations.

A team from TU Delft made history by winning the A2RL Drone Championship in Abu Dhabi, becoming the first autonomous drone to defeat human pilots in an international race. Competing against 13 other drones and human champions, the TU Delft drone used advanced AI trained to operate with just one camera, similar to how human pilots fly.

The drone reached speeds of 95.8 km/h and outperformed three former world champions in a knockout tournament. This achievement marks a significant milestone in artificial intelligence, as it took place in a real-world setting rather than a controlled lab environment.

The AI system developed by the TU Delft team is efficient and can control the drone directly, using deep neural networks trained through trial and error. This technology not only improves drone racing but also has potential applications in various fields, such as self-driving cars and emergency response. Team leader Christophe De Wagter expressed pride in their accomplishment, hoping it will lead to advancements in real-world robotics.

Summary of Claude 4’s System Prompt Changes:

1. Similar Structure: Claude 4's system prompt is closely related to the previous version (3.7) but includes key changes that show Anthropic's focus on user experience and application development.

2. Removal of Old Fixes: Previous temporary fixes for common errors in Claude 3.7 have been eliminated. Claude 4 addresses these issues through improved training and reinforcement learning, resulting in more reliable responses.

3. Encouraged Search Functionality: The new prompt encourages Claude to search for up-to-date information without waiting for user permission, reflecting Anthropic's confidence in their search capabilities.

4. Expanded Use for Structured Documents: Claude 4 is now better equipped to create structured content that users can reference, such as meal plans or schedules, based on observed user behavior.

5. Context Management: To handle context limitations in coding tasks, the prompt instructs using concise variable names, indicating challenges with maintaining clarity within the token limits.

6. New Cybercrime Guardrails: Claude 4 adds stricter rules against assisting with malicious coding or cybercrime, ensuring it refuses requests that could lead to harmful outcomes.

7. User-Driven Development: The changes to the system prompts illustrate a user-centered approach where observed behaviors shape improvements in Claude's functionality.

Overall, these updates highlight Anthropic's commitment to enhancing user experience through careful adjustments in Claude's design and capabilities.

AdamCAD is an AI-powered platform that quickly creates 3D designs. Here are the main features:

• Text to CAD: Users can describe their desired 3D model using simple prompts.
• Refine & Export: AdamCAD generates a 3D model and provides parameters for further adjustments.
• Image to 3D: The creative mode can turn any image into a 3D model in seconds.
• Integration: It works with existing CAD software used by professionals.
• Versatile Designs: AdamCAD can create various items, including engine parts, key holders, phone stands, and more, all through natural language input.

Overall, AdamCAD makes it easy to bring design ideas to life quickly and efficiently.

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Summary of Package URL (PURL) Overview

PURL (Package URL) is an open standard created in 2017 for uniquely identifying software packages across different ecosystems. It simplifies tracking and sharing software components by using a specially formatted URL that includes details like package type, name, version, and other qualifiers.

Key Points:

• Structure: A PURL is structured like a web URL, starting with "pkg:" and containing several components, such as type (e.g., npm, Maven), name, version, optional namespace, qualifiers, and subpath.
• Usage: PURLs are commonly used in Software Bill of Materials (SBOMs) to identify software components, enhancing accuracy and usability. They help verify licensing information and fill in missing data.
• Ecosystem Support: PURL supports various programming languages and package managers, including npm, PyPI, Maven, and Docker.
• Comparison with CPE: PURL is simpler and better suited for open-source software than CPE (Common Platform Enumeration), which is more complex and focused on commercial products. While both can identify software, PURL is preferred for its straightforwardness and broader usage in vulnerability management.
• Recommendation: PURL is recommended for organizations seeking effective software supply chain transparency and security, though it lacks commercial product support compared to CPE.

Overall, PURLs are essential for accurate identification and management of software components in today's development landscape.

The article compares two graphics card setups for running local Large Language Models (LLMs): a dual RTX 5060 Ti 16GB configuration and a single RTX 3090.

Key Points:

1. Specifications and Pricing:

   • The dual RTX 5060 Ti setup has a total of 32GB VRAM and costs about $950.
   • The used RTX 3090 offers 24GB VRAM and is priced between $850 and $900.
   • The RTX 3090 has higher memory bandwidth (936 GB/s) compared to the dual 5060 Ti's 448 GB/s.

2. Performance Testing:

   • Benchmarks were conducted using specific models to measure token generation speed and context handling.
   • The dual RTX 5060 Ti excels in handling longer context lengths, reaching up to 44,000 tokens, while the RTX 3090 caps at around 32,000 tokens.
   • Despite having more VRAM, the dual 5060 Ti is slower in token generation, performing about 70-85% slower than the RTX 3090 for dense models.

3. Use Cases:

   • The RTX 3090 is better for tasks that require fast processing of dense models due to its higher bandwidth.
   • The dual RTX 5060 Ti setup is advantageous for tasks demanding large context windows or higher precision quantization.

4. Conclusion:

   • The choice between the two setups depends on user needs. For maximum speed with models fitting within 24GB, the RTX 3090 is preferable. However, for processing large prompts and models requiring more VRAM, the dual RTX 5060 Ti is a compelling option.
   • Users may also start with a single RTX 5060 Ti and expand later by adding another card.

Overall, both setups have their strengths, and the decision largely depends on the specific requirements of the user.

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Summary:

parrot.live is a fun project that lets any computer use the command curl parrot.live to show an animated party parrot.

Thanks to:

• jmhobbs for creating terminal-parrot and the animation frames.
• Robert Koch and Eric Jiang for testing and providing feedback.

For more parrot-related fun, visit:

• cultofthepartyparrot.com
• terminal-parrot
• parrotsay
• ascii.live

Summary: How Much Energy Does It Take To Think?

Recent research indicates that our brain uses nearly the same amount of energy during both restful and focused cognitive activities. Neuroscientist Sharna Jamadar and her team found that engaging in mental tasks requires only about 5% more energy than when the brain is at rest. This suggests that most of the brain's energy is spent on maintenance and regulating bodily functions rather than just thinking.

The brain accounts for about 2% of body weight but consumes 20% of the body's energy, primarily in the form of ATP, which is produced from glucose and oxygen. A complex network of blood vessels supplies the brain with these essential resources. While performing tasks, specific brain regions become more active, which explains the slight increase in energy use.

Research shows that a significant portion of the brain's energy is dedicated to background processes, such as maintaining homeostasis and predicting environmental changes. This efficient use of energy is a result of evolutionary pressures, as our ancestors lived in energy-scarce environments. Consequently, our brains have developed mechanisms to avoid unnecessary energy expenditure, which can lead to feelings of fatigue after intense mental effort.

Overall, the study highlights that while our brains are powerful and complex, they are also designed to operate efficiently within certain energy constraints, balancing cognitive demands with bodily regulation.

The UK government is responsible for spending £14 billion annually on technology, but only has 15 staff members with expertise in digital procurement to manage relationships with major tech suppliers. A report from the Public Accounts Committee (PAC) highlights concerns about the lack of commercial skills, suggesting that this small number is insufficient given the need for significant improvements in government efficiency through digital technology.

While the government plans to enhance its digital capabilities, including creating a Digital Commercial Centre of Excellence to negotiate better contracts and support smaller tech companies, there are still unclear roles and responsibilities among different government departments regarding procurement. The PAC urges the government to clarify these roles and improve training for civil servants involved in technology spending.

Currently, there are challenges in negotiating effectively with large tech companies due to a lack of alignment among departments and issues like vendor lock-in. The PAC emphasizes that the government needs to strengthen its commercial skills to achieve better outcomes in its digital initiatives.

Summary: Displaying Korean Text Efficiently

This article discusses a method for displaying Korean text (Hangul) on computers with limited memory. Instead of keeping large font files for around 3,000 commonly used Hangul characters, the proposed solution is to build characters from a smaller set of basic components called jamo.

Key Points:

1. Hangul Complexity: The Hangul writing system includes about 11,000 characters, making font storage demanding. Regular fonts can take up significant memory (15MB for Hangul), which is challenging for low-memory devices like video game consoles.

2. Dynamic Composition: Unlike Japanese, where limited character sets can be used, Korean requires managing a full set of Hangul characters. However, Hangul's structure allows for efficient decomposition into jamo, which are the basic building blocks of Hangul glyphs. There are about 70 distinct jamo.

3. Font Selection: Choosing a good Hangul font is crucial for successful dynamic composition. Most fonts have individual jamo glyphs, but they may not be designed for dynamic use, often intended for input methods instead.

4. Proportional vs. Non-proportional Fonts: Proportional fonts adjust spacing for aesthetics, while non-proportional fonts maintain consistent spacing, making them easier for dynamic composition.

5. Layout Rules: When creating Hangul characters from jamo, specific layout rules dictate how the components are arranged. For example, the positioning of the lead (L), vowel (V), and trail (T) jamo depends on the vowel used.

6. Implementation Example: In a project for a video game, the author switched from a proportional font (HY Gothic) to a non-proportional font (AsiaRythm1) for easier dynamic layout. The non-proportional font required minimal adjustments to the jamo, leading to more consistent results.

In summary, the article emphasizes the importance of using an appropriate Hangul font and understanding the structure of Hangul for effective text display in memory-limited environments.

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LTA Research, a startup founded by Sergey Brin, successfully flew its large airship, called Pathfinder 1, over San Francisco Bay on May 15, 2025. This flight is part of the company's efforts to explore the potential of airships in modern aviation.

On June 4, 2025, Langfuse announced that it is open sourcing all remaining product features under the MIT license. This move aims to help the community develop and improve LLM applications more quickly and provide feedback for future enhancements.

The newly open sourced features include evaluations, annotation queues, prompt experiments, and the playground. Users who are already self-hosting Langfuse are encouraged to upgrade to access these new features.

Langfuse is focused on building an open-source platform for LLM engineering, which requires community trust and collaboration. They believe that making key features freely available will foster deeper community engagement and faster iterations.

Langfuse has always been an open core company, but now it is expanding its open-source offerings while limiting commercial features to enterprise security and support.

Currently, there are over 8,000 active self-hosted Langfuse instances and millions of SDK installations. This shift is expected to position Langfuse as a leading choice for open-source LLM operations.

The company invites users to start self-hosting Langfuse and participate in the community by engaging on GitHub.

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Summary: Consider Knitting

This article encourages people, especially those in tech jobs, to consider knitting as a fulfilling hobby. The author, a male programmer, shares his personal journey of discovering knitting and highlights its benefits:

1. Tactile Experience: Knitting provides a satisfying sense of touch, which is often lacking in screen-based jobs. It engages the hands and offers a break from digital environments.

2. Creative Freedom: Unlike many structured activities, knitting is flexible and allows for personal expression. There are countless projects and techniques to explore, making it an open-ended pursuit.

3. Skill Development: Knitting has a gentle learning curve. Beginners can quickly grasp the basics and then choose to challenge themselves at their own pace.

4. Accessibility: Knitting is easy to start with minimal equipment, making it convenient to practice almost anywhere, including during short breaks or while traveling.

5. Meaningful Creation: The author emphasizes that knitting results in tangible, handmade items imbued with personal significance, often sharing special moments attached to the creations.

6. Mental Health Benefits: Knitting can be a calming activity, helping to alleviate stress and provide a sense of accomplishment.

7. Getting Started: For those interested, the article suggests buying some basic supplies and using online tutorials to learn the craft.

In conclusion, the author believes knitting is a rewarding activity that combines creativity, relaxation, and the joy of making something meaningful.

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Summary of Gemini 2.5 Pro

Overview: Gemini 2.5 Pro is an advanced AI model designed for coding and complex tasks. It excels in generating code, reasoning, and understanding various input types like text, audio, images, and video.

Key Features:

• Enhanced Reasoning: It includes a new mode called Deep Think, which improves its reasoning capabilities.
• Advanced Coding: It can generate code easily for web development and other programming tasks.
• Long Context Handling: It can process up to 1 million tokens, allowing it to work with extensive datasets.
• Multimodal Input: It understands and processes multiple input formats simultaneously.

Performance: Gemini 2.5 Pro outperforms other models in various benchmarks for reasoning, coding, and factual accuracy. It achieves high scores in math, science, and coding tasks, demonstrating strong capabilities in these areas.

Interactive Capabilities: The model can create animations and simulations from simple prompts, showcasing its advanced coding skills. Examples include making games, visualizing economic data, and generating fractal patterns.

Availability: Gemini 2.5 Pro is accessible through Google AI Studio, the Gemini API, and the Gemini App, and is best suited for tasks involving reasoning, coding, and complex prompts.

This model represents a significant advancement in AI technology, particularly for users needing robust coding and reasoning abilities.

No summary available.

Merlin Bird ID Overview

Merlin Bird ID is a free app that helps you identify birds you see or hear using photos, sounds, and maps. Here are the key features:

1. Sound ID: This tool listens to bird songs and calls around you, providing real-time suggestions for identification. It works offline, allowing you to identify birds anywhere.

2. Photo ID: You can take a photo of a bird or use one from your camera roll to get a list of possible matches. This feature also works offline.

3. Bird ID Wizard: Answer three simple questions about a bird, and Merlin will suggest possible matches, making it easy for all levels of bird watchers to identify birds.

4. Life List: You can save the birds you identify to a digital scrapbook by tapping “This is my bird!” to keep track of your birding experiences.

5. Explore Local Birds: Merlin allows you to create custom lists of birds you might see based on your location and the time of year, including offline options.

6. Community and Expert Contributions: The app is enhanced by contributions from the birding community, including photos, sounds, and expert tips, making it a comprehensive resource for bird identification.

Merlin covers birds in the US, Canada, Europe, and some parts of Central and South America, with more species and regions to be added in the future.

Thanks to your support, Washington has passed a law ensuring the right to repair. Governor Bob Ferguson signed two bills that give people access to the tools, parts, and information needed to fix personal electronics, appliances, and wheelchairs. This law recognizes that when you own something, you should decide how it gets repaired.

Advocates, including groups like the Public Interest Research Group and Disability Rights Washington, worked hard to make this law happen. Their efforts highlighted the importance of including wheelchairs in the right-to-repair legislation.

Furthermore, U.S. Secretary of Defense Pete Hegseth recently emphasized that the Army should seek right-to-repair provisions in contracts, allowing for better maintenance of equipment. This approach aligns with historical practices, such as President Lincoln ensuring that the Army could always maintain its weapons.

The right to repair is crucial for everyone, whether you're a farmer, a homeowner, a medical technician, or a soldier. It's a growing movement, with all 50 states considering similar legislation. Washington is now the eighth state to pass such a law, and the momentum is building.

Google Cloud has announced that NVIDIA GPU support for Cloud Run is now generally available, making it easier and more cost-effective to run AI workloads. Key benefits include:

• Pay-per-second billing: You only pay for GPU usage by the second.
• Automatic scaling: Cloud Run can reduce GPU instances to zero when not in use, eliminating idle costs.
• Fast startup times: Applications can start with a GPU in under 5 seconds, enabling quick responses to demand.
• Streaming support: Allows for real-time interaction with users through HTTP and WebSocket streaming.

Cloud Run with GPU support is now accessible to everyone without needing quota requests, and it is backed by a Service Level Agreement for reliability. GPUs are available in five regions globally, with plans for more.

Additionally, GPUs can now be utilized for batch processing tasks, enabling model fine-tuning, large-scale inference, and media processing. Early users have reported significant cost savings and improved efficiency with this new feature.

Developers can start using these capabilities easily, with resources available for guidance and best practices.