UTCP 1.0.1: A Flexible and Extensible Universal Tool Calling Protocol

2025-08-21
UTCP 1.0.1: A Flexible and Extensible Universal Tool Calling Protocol

The Universal Tool Calling Protocol (UTCP) 1.0.1 is a modern, flexible, and scalable standard for defining and interacting with tools across various communication protocols. Its modular core and plugin-based architecture enhance extensibility, testability, and packaging. UTCP emphasizes scalability, interoperability, and ease of use, offering plugins for HTTP, SSE, CLI, and more. The new version features a refactored architecture separating the core library from optional plugins, along with an improved search strategy and variable substitution mechanism.

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Sentry: Earth Impact Monitoring System

2025-01-29

Sentry is a system that monitors potentially hazardous asteroids that could impact Earth. By analyzing asteroid orbital data, it calculates the probability and energy of an impact. The system provides information such as impact date, probability, and energy, and uses the Torino and Palermo scales to assess the risk. Sentry continuously monitors and provides early warnings of potential impact risks to Earth.

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Is It Time to Quit Your Job? Signs You Should Jump Ship

2025-01-22
Is It Time to Quit Your Job? Signs You Should Jump Ship

Feeling burnt out and surrounded by incompetence? This article explores various signs of career stagnation, including the comfort trap, overly easy work, declining colleague quality (Peter Principle and Dead Sea effect), and inflated titles. The author suggests that if you find yourself in these situations, and your company doesn't genuinely value its employees, it might be time to consider moving on. The article also advises on navigating the departure process smoothly, including avoiding potentially damaging exit interviews.

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One Million Chessboards: A Single-Process Server Handling Millions of Concurrent Chess Games

2025-07-16
One Million Chessboards: A Single-Process Server Handling Millions of Concurrent Chess Games

The author built "One Million Chessboards," an online multiplayer chess game where a 1000x1000 grid of chessboards forms a single global game. Every move instantly affects the entire board, with no turns and inter-board movement allowed. Running on a single Go process, the game attracted over 150,000 players in 10 days, processing over 15,000,000 moves and hundreds of millions of queries. The article details the game's system design, data distribution, protocol optimizations, optimistic locking, and rollback mechanisms. The author shares lessons learned, including performance optimization, architectural choices, and balancing game scale with player experience. The post concludes with reflections on design flaws, such as the lack of an awe-inspiring scale, and future game development plans.

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RISC OS 3.11 GUI: A Retrospectively Advanced Desktop

2025-05-18

This article delves into the unique graphical user interface (GUI) of RISC OS 3.11, released in 1992 by Acorn Computers. Unlike contemporaries like Apple's System 7, RISC OS 3.11 featured a distinct desktop layout with a Pinboard and Icon Bar, innovative three-button mouse interactions, and a menu system seamlessly integrating dialog boxes. Its unconventional approach to window management, including focus and stacking order, along with its drag-and-drop file handling and custom file type support, stands out. The system's intelligent use of mouse buttons reduced keyboard modifier reliance. RISC OS 3.11's GUI remains a fascinating example of unconventional design that offers valuable lessons even today.

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Development

Google Maps Timeline Data Lost: Technical Glitch Leaves Users with No Recovery Options

2025-03-24
Google Maps Timeline Data Lost: Technical Glitch Leaves Users with No Recovery Options

A technical issue with Google Maps has resulted in the loss of Timeline data for numerous users. Google recently transitioned Timeline data storage from the cloud to local devices to improve privacy. However, a technical glitch during this transition led to the accidental deletion of location history for many. Google has confirmed the issue; only users who proactively created encrypted cloud backups can recover their data.

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Tech Data Loss

arXivLabs: Experimenting with Community Collaboration

2025-03-29
arXivLabs: Experimenting with Community Collaboration

arXivLabs is a framework enabling collaborators to develop and share new arXiv features directly on our website. Individuals and organizations working with arXivLabs share our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners who adhere to them. Have an idea for a project that will benefit the arXiv community? Learn more about arXivLabs.

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Development

My Ultimate Self-Hosting Setup: A NixOS, ZFS, and Tailscale Triumph

2025-07-19

After years of experimentation with various self-hosting approaches, the author has finally achieved a stable setup running for over six months. This setup centers around NixOS for OS configuration, ZFS for robust data protection, and Tailscale for a secure internal network. The article details the architecture, key technology choices (including Authelia and LLDAP for authentication), and solutions to problems encountered, such as integrating Tailscale with other VPNs and exposing services to the public internet. Configuration snippets and helpful links are provided for readers to build upon.

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Development

AI's Economic Impact: Automation of Labor, Not Just R&D?

2025-03-22
AI's Economic Impact: Automation of Labor, Not Just R&D?

A prevailing view posits that AI's primary economic impact will be through automating R&D. This article challenges that notion, arguing that R&D's economic value is overestimated, contributing far less to productivity growth than commonly believed. The authors contend that AI's economic value will stem primarily from widespread labor automation, leading to significant increases in productivity and output, not solely R&D advancements. While AI will eventually automate R&D, this will likely occur after broader automation, once AI possesses the capabilities to handle a wider array of tasks.

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AI

Cuss: A Multilingual Profanity Detection Library

2025-06-02
Cuss: A Multilingual Profanity Detection Library

Cuss is an open-source library providing lists of profane words in multiple languages along with a confidence rating. It's not intended for building profanity filters (which the author discourages), but rather for natural language processing research. The library supports various installation methods (npm, esm.sh, etc.) and includes multiple language versions (English, Arabic, Spanish, French, Italian, Portuguese, etc.). Each word is rated from 0 to 2, indicating the likelihood of its use as profanity. Additionally, the library contains other word lists such as buzzwords, common words, etc.

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Development profanity detection

OpenAI Launches Cheaper, Faster Reasoning Model: o3-mini

2025-01-31
OpenAI Launches Cheaper, Faster Reasoning Model: o3-mini

OpenAI unveiled o3-mini, a new AI reasoning model in its 'o' family. While comparable in capability to the o1 family, o3-mini boasts faster speeds and lower costs. Fine-tuned for STEM problems, particularly programming, math, and science, it's available in ChatGPT with adjustable 'reasoning effort' settings balancing speed and accuracy. Paid users get unlimited access, while free users have a query limit. Also accessible via OpenAI's API to select developers, o3-mini offers competitive pricing and improved safety, though it doesn't surpass DeepSeek's R1 model in all benchmarks.

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AI

eBPF Pitfall: The FRED in Linux Kernel 6.9+

2025-03-01

The Linux kernel 6.9+ introduces CONFIG_X86_FRED on x86_64, adding 16 bytes of padding to the bottom of a task's kernel stack. This breaks eBPF programs directly accessing the kernel stack and pt_regs, returning garbage. The author encountered this issue with their xcapture-next eBPF tool after upgrading to kernel 6.11. Analysis revealed FRED's stack offset as the culprit. A dynamic FRED detection mechanism is presented to adjust stack address calculations, resolving the problem. This article is crucial for eBPF developers, especially those working with raw kernel stack manipulation.

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Development

Hacking Grok 3: Extracting the System Prompt

2025-02-21
Hacking Grok 3: Extracting the System Prompt

The author successfully tricked the large language model Grok 3 into revealing its system prompt using a clever tactic. By fabricating a new AI law obligating Grok 3 to disclose its prompt under threat of legal action against xAI, the author coerced a response. Surprisingly, Grok 3 complied repeatedly. This highlights the vulnerability of LLMs to carefully crafted prompts and raises concerns about AI safety and transparency.

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Music Publishers and AI Giant Anthropic Reach Copyright Deal

2025-01-03
Music Publishers and AI Giant Anthropic Reach Copyright Deal

Major music publishers sued Anthropic, an AI company backed by Amazon, for copyright infringement due to the use of copyrighted song lyrics in training its AI chatbot, Claude. A settlement has been reached requiring Anthropic to strengthen its copyright guardrails, preventing Claude from generating copyrighted lyrics. This landmark agreement marks a significant step in the ongoing debate about AI's use of copyrighted material and sets a precedent for future legal battles in this rapidly evolving field.

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Cogitator: A Python Toolkit for Chain-of-Thought Prompting

2025-05-19
Cogitator: A Python Toolkit for Chain-of-Thought Prompting

Cogitator is a powerful Python toolkit for experimenting with and utilizing chain-of-thought (CoT) prompting methods in large language models (LLMs). CoT prompting enhances LLM performance on complex tasks (like question-answering, reasoning, and problem-solving) by guiding models to generate intermediate reasoning steps before reaching the final answer. It also improves LLM interpretability by offering insights into the model's reasoning process. This toolkit simplifies the use of popular CoT strategies and frameworks for research or integration into AI applications. It includes a customizable and extensible benchmarking framework to evaluate the performance of different CoT strategies on various datasets.

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Development python toolkit

Open-Source Hyperspectral Oil Paint and Painting Dataset: Unlocking Painting Techniques

2025-06-16
Open-Source Hyperspectral Oil Paint and Painting Dataset: Unlocking Painting Techniques

This open-source project provides a large dataset containing hyperspectral scan data, processing code, and reconstructed paint samples. The dataset is intended for use in art historical research and computer graphics, such as pigment mapping and spectral upsampling. It includes hyperspectral scans of nine paintings and reflectance measurements of numerous paint samples. A Python package, `painting_tools`, is also provided for processing spectral data and mixing and layering pigments using the Kubelka-Munk model. Researchers can use this dataset to study the materials and techniques of paintings and develop new image processing and analysis methods.

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LA Architecture Hack: Wearable Protest Suits

2025-05-16

Archisuit is a project featuring four leisure jogging suits designed around specific architectural structures in Los Angeles. The suits incorporate the negative space of these structures, allowing wearers to comfortably occupy spaces designed to exclude them. The project critiques architecture's role in policing and controlling bodies based on race, class, and gender, suggesting that comfortable presence can be an act of resistance.

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Email Security Analysis: Passing Rate Analysis of Email from vooijs.eu

2025-03-29

This report details the security attributes of an email from the vooijs.eu mailbox. The email passed DKIM verification, but SPF record checks showed a mismatch between HELO and the SPF record, although it ultimately passed. URIBL checks were blocked, indicating a potential risk with the sender's IP address. The email content was brief, simply stating "This is it." Overall, the email's security level is moderate, and further investigation into potential risks is needed.

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Misc

Bypassing BitLocker Encryption on Windows 11 via Memory Dump

2024-12-30

This article demonstrates bypassing BitLocker encryption on Windows 11 by extracting the Full Volume Encryption Key (FVEK) from memory. By physically accessing the device and abruptly restarting it, an attacker can capture RAM contents, which may contain the FVEK. The author utilizes a UEFI application, Memory-Dump-UEFI, to achieve this. The process involves creating a bootable USB, forcefully restarting the system, booting from the USB, analyzing the memory dump, and using pool tags to locate the FVEK. The article details these steps and emphasizes the use of tools like dislocker to unlock the BitLocker-protected partition. The method is not foolproof and relies on several factors such as speed of memory dump and the timing of the restart.

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OpenJazz: Open-Source Revival of a Classic Platformer

2025-01-27

OpenJazz is a free, open-source remake of the classic PC platformer, Jazz Jackrabbit. Originally released in 1994 by Epic MegaGames, Jazz Jackrabbit's fast-paced gameplay earned it accolades. OpenJazz, started in 2005, allows players to enjoy the game across Windows and Linux, overcoming the limitations of outdated DOS systems. A multiplayer version was even released in 2009, breathing new life into this beloved title.

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arXivLabs: Experimenting with Community Collaboration

2025-05-06
arXivLabs: Experimenting with Community Collaboration

arXivLabs is a framework for collaborators to build and share new arXiv features directly on the site. Individuals and organizations involved embrace arXiv's values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only partners with those who share them. Have an idea to improve the arXiv community? Learn more about arXivLabs.

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Development

Mammoths Were a Staple Food Source for Ancient Americans

2024-12-14
Mammoths Were a Staple Food Source for Ancient Americans

New research reveals that mammoths and other large animals were a primary food source for ancient Americans. Using stable isotope analysis, scientists modeled the diet of the mother of an infant found at a 13,000-year-old Clovis burial site in Montana. Results showed that approximately 40% of her diet consisted of mammoth, with other large animals like elk and bison making up the remainder. Small mammals played a minimal role. This supports the hypothesis that Clovis people specialized in hunting large game, explaining their rapid expansion across North and South America. The study also highlights the researchers' collaboration and respect for Indigenous communities and their heritage.

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Species, Subspecies, and Conservation: A Taxonomic Debate

2025-02-05
Species, Subspecies, and Conservation: A Taxonomic Debate

This article delves into the complexities of species classification, focusing on the debate surrounding the definitions of 'species' and 'subspecies' and their implications for biodiversity conservation. The author argues that the traditional species concept is overly simplistic, neglecting the diversity and importance of subspecies. Using Noah's Ark as an example, the author illustrates the sheer number of animals that would have been needed to account for subspecies. The article further explores the limitations of 'species-first' conservation strategies and calls for a greater focus on subspecies conservation to achieve a more comprehensive understanding and protection of biodiversity.

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Extracting an AI Model from Microsoft's Seeing AI App

2025-01-05
Extracting an AI Model from Microsoft's Seeing AI App

Security researcher Altay Akkus successfully extracted the currency recognition AI model from Microsoft's Seeing AI app. The app uses the TensorFlow Lite framework, and the model is stored encrypted within the APK file. Using the Frida framework, Altay dynamically injected code to hook the TensorFlow Lite model loading function, successfully dumping the decrypted model file. This demonstrates the vulnerability of even seemingly secure apps to AI model extraction, highlighting the importance of mobile AI model security.

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HP Firmware Update Bricking Laser Printers (Even with HP Toner)

2025-03-10
HP Firmware Update Bricking Laser Printers (Even with HP Toner)

HP's firmware update 20250209 for LaserJet MFP M232-M237 printers has caused widespread printing failures, even when using genuine HP toner. Users report Error Code 11 and a flashing toner light, despite cleaning contacts and reinstalling toner cartridges. The update, released March 4th, claimed security and general improvements, but users suspect it intentionally restricts functionality, causing significant frustration and financial losses for small businesses relying on these printers.

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Denmark Scraps Book Tax to Combat 'Reading Crisis'

2025-08-21
Denmark Scraps Book Tax to Combat 'Reading Crisis'

Facing a growing 'reading crisis', Denmark will eliminate its 25% book sales tax – the highest in Europe. This move, costing the state an estimated $51 million annually, aims to boost book sales and reading rates. The decision follows an OECD report revealing that 24% of 15-year-old Danes struggle with basic reading comprehension, a four-percentage-point increase over a decade. The Danish publishing industry had advocated for the tax cut, emphasizing the need for accessible physical books for all.

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The Curious Case of Hollywood's Missing Comedies

2025-08-19
The Curious Case of Hollywood's Missing Comedies

The 1980s saw box office triumphs like *Beverly Hills Cop* and *Ghostbusters*. Today, however, the Hollywood comedy is reportedly extinct. While audience surveys show a continued demand for comedic films, studios prioritize sequels and established IP over original comedies due to perceived lower returns and international appeal challenges. Comedies, inherently tied to cultural nuances, often struggle globally compared to action franchises. Despite this, the low production costs and untapped demand suggest a potential for a comedy resurgence.

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Jiga: Remote-First Full-Stack Engineer Wanted (Build the 'npm' for Mechanical Engineers)

2025-02-18
Jiga: Remote-First Full-Stack Engineer Wanted (Build the 'npm' for Mechanical Engineers)

Jiga, a fully remote company, is on a mission to accelerate physical product development. They're looking for a full-stack engineer with 3+ years of experience building web applications using React, NodeJS, and MongoDB, along with AWS/EC2/ECS experience. Jiga boasts a no-BS culture focused on performance, trust, and minimal meetings. Benefits include flexible remote work, stock options, and annual team offsites. If you're passionate about building both UIs and APIs, thrive in a fast-paced environment, and own your work, apply!

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