Wikipedia Fights Back Against UK's Online Safety Act

2025-07-29
Wikipedia Fights Back Against UK's Online Safety Act

The Wikimedia Foundation is legally challenging the UK's Online Safety Act (OSA) Categorisation Regulations, arguing that they endanger Wikipedia and its volunteer contributors. The regulations risk classifying Wikipedia as a high-risk site, imposing stringent identity verification requirements that threaten contributor privacy and safety, and could cripple Wikipedia's operations. The Foundation contends this would severely impact global knowledge sharing and is urging the court to protect Wikipedia, a vital public resource. The case is supported by a UK-based volunteer contributor, highlighting the threat to free speech and knowledge sharing.

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Ruby: The Unexpected Language of the AI Revolution?

2025-03-22

Large language models (LLMs) excel at code generation, but their limited context windows hinder work with large codebases. This article explores the 'power' of LLM-assisted programming: how many tokens does it take to express a program? The author argues Python outperforms Go for LLMs due to its conciseness, allowing more features within token limits. Further, Ruby, known for elegance and brevity, is posited as an ideal LLM language due to its efficient token usage. While challenges like type checking remain, Ruby's human-centric design ironically makes it a potential frontrunner for LLMs.

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Development

The Hacker News Silent Hug: A Fun Netcat Experiment

2025-04-10

The author shared a fun experiment on Hacker News: a simple netcat script that beeps four times whenever someone connects to his server port. In 24 hours, he received over 4761 connections, resulting in 19044 beeps! This seemingly pointless experiment highlighted the Hacker News community's engagement and showed that the joy of programming isn't just about problem-solving, but also exploring quirky ideas.

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Linux C Standard Library Showdown: musl vs. uClibc vs. dietlibc vs. glibc

2025-05-10

An Eta Labs project compares several standard library implementations for Linux, focusing on the balance between feature richness and bloat. The article uses tables and notes to compare musl, uClibc, dietlibc, and glibc across size, performance, behavior on resource exhaustion, ABI, algorithms, features, target architectures, and build environment. musl excels in size and performance, glibc offers the most features but is the largest, while uClibc and dietlibc fall somewhere in between. The comparison also considers robustness under resource exhaustion and security implications, offering developers valuable insights for choosing the right standard library.

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Development

arXivLabs: Experimenting with Community Collaboration

2025-06-12
arXivLabs: Experimenting with Community Collaboration

arXivLabs is a framework for collaborators to develop and share new arXiv features directly on the arXiv website. Individuals and organizations working with arXivLabs uphold our 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 for a project that will benefit the arXiv community? Learn more about arXivLabs.

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Development

Autonomous Penetration Tester XBOW Tops HackerOne US Leaderboard

2025-06-25
Autonomous Penetration Tester XBOW Tops HackerOne US Leaderboard

For the first time, an autonomous AI penetration tester, XBOW, has reached the top spot on the HackerOne US leaderboard. XBOW initially benchmarked itself against CTF challenges and open-source projects, uncovering and reporting numerous zero-day vulnerabilities. It then participated in HackerOne's bug bounty programs, conducting black-box testing on thousands of targets. XBOW's nearly 1060 validated vulnerability reports, including an unknown vulnerability in Palo Alto's GlobalProtect VPN, propelled it to the top ranking. This demonstrates the significant potential of AI in cybersecurity.

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The Anti-Social Century: America's Growing Loneliness

2025-01-11
The Anti-Social Century: America's Growing Loneliness

This article explores the rising tide of loneliness in American society. From shifting restaurant dining habits to increased time spent at home, it argues that technological advancements and societal changes have led to a decline in social interaction. Data reveals Americans are spending less time with others than ever before, correlating with negative consequences such as anxiety, depression, and political polarization. The piece also examines the rise of AI companions and their potential impact on relationships, calling for a renewed focus on building community connections and improving public social infrastructure.

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Misc

RDF: The Natural Knowledge Layer for AI

2025-09-05
RDF: The Natural Knowledge Layer for AI

Large Language Models (LLMs) often struggle with accuracy on enterprise data, but knowledge graphs can boost accuracy threefold. This article explores why Resource Description Framework (RDF) isn't just one option among many for knowledge representation—it's the natural endpoint. Many enterprises, when building knowledge layers, initially choose custom solutions but inevitably end up rebuilding core RDF features like global identifiers and data federation protocols. The article explains how RDF solves core problems in knowledge representation, such as entity identification, and shows how using RDF improves LLM accuracy and efficiency.

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AI

LLMs: Helpful Coding Assistants or Creativity Killers?

2025-06-08

This article expresses concern over the over-reliance on LLMs. While acknowledging their potential to assist in coding and improve efficiency, the author argues that excessive dependence on LLMs weakens programmers' independent thinking and problem-solving skills, particularly for beginners, hindering their grasp of fundamental programming knowledge and the development of programming thinking. The author also points out that the quality of code generated by LLMs is inconsistent, prone to errors, and lacks creativity and artistry, potentially leading to a decline in code quality and even academic dishonesty. The author calls for regulation and limitations on the use of LLMs, especially in education, to avoid their negative impact on students' learning and creativity.

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Development

The Death and Rebirth of Narrative in Art: A Timeless Struggle

2025-02-28
The Death and Rebirth of Narrative in Art: A Timeless Struggle

This article explores the internal and external imposition of narrative in art and the attempts to destroy narrative in 20th-century art. Narrative in visual arts like painting is often derived by the viewer, while literary arts possess inherent narrative. Avant-garde movements of the 20th century sought to break down narrative, but with little lasting success in time-based arts like literature and music. The author criticizes the imposition of authoritative narratives by artists or critics, arguing that artworks should possess independent aesthetic value. Ultimately, the article points to the dimension of time and intellectual experience as key factors in the development of complex narratives in literature, music, and cinema.

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Bose's Magical Suspension Finally Makes it to Production Cars

2025-05-03
Bose's Magical Suspension Finally Makes it to Production Cars

Twenty years ago, a video of a Lexus LS400 with Bose's prototype electromechanical proactive suspension went viral, showcasing its seemingly impossible ability to handle any terrain. Due to production challenges, the project was shelved. Now, ClearMotion has revived the technology, integrating it into the Nio ET9, marking its debut in mass production. Future partnerships with Porsche and other automakers promise to bring this once-futuristic technology to a wider range of vehicles.

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RoureXOS 2.0: A Lightweight OS Rewritten in Rust

2025-06-19
RoureXOS 2.0: A Lightweight OS Rewritten in Rust

The RoureXOS operating system has been rewritten in Rust for its second iteration. This lightweight OS can run in the QEMU emulator (using the provided ISO image) and on x86_64 bare metal (booting from USB). Detailed instructions cover dependency installation, kernel compilation, ISO image creation, QEMU emulation, and even networking using SLIP. The clear steps make it easy to experience this new OS.

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Development

Farting MacBook: Introducing FartScrollLid

2025-09-12
Farting MacBook:  Introducing FartScrollLid

Meet FartScrollLid, a hilarious macOS app that transforms your MacBook's lid into a fart machine! Leveraging the built-in lid angle sensor, it plays dynamic fart sounds whose pitch and volume change based on how quickly and how far you open or close the lid. Open-source and easy to build, it's a fun project showcasing creative use of MacBook sensors. Get ready for some laughs!

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Game

Reliving a Childhood Dream: Restoring an IBM PS/1 2168

2025-09-12

In 1993, a 14-year-old's passion for computers led him to dream of owning an IBM PS/1 2168. Years later, he embarks on a journey to acquire and restore a well-preserved used model. The article chronicles the restoration process, detailing the selection of parts, system installation, troubleshooting, and upgrades. It highlights the machine's unique design and excellent performance, including its iconic Model M keyboard and remarkable expandability. This isn't just a computer restoration; it's a nostalgic trip down memory lane.

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Hardware

Rails on SQLite: A Double-Edged Sword

2025-09-12

André Arko, a long-time Ruby open source contributor, shares his experience building a Rails application using SQLite. While SQLite simplifies deployment and reduces costs due to its embedded nature, it introduces unique challenges. The article details these challenges, including data persistence, concurrency control, and high availability, offering solutions like persistent storage, WAL mode, multiple database files, and tools like Litestream and LiteFS. Arko concludes that SQLite offers exciting possibilities for building efficient and simple Rails apps but requires careful consideration of its limitations.

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Development

A Digital Darwinian Adventure: Evolving Melodies

2025-09-12
A Digital Darwinian Adventure: Evolving Melodies

The author built a 'melody breeder,' a program simulating musical evolution. Users select melodies to breed and evolve, based on Richard Dawkins' meme theory and research showing predictable patterns in musical evolution. The article draws parallels between musical patterns and biological systems, like Conway's Game of Life, and uses the Labubu toy craze to illustrate the similarity between cultural and viral spread. The conclusion highlights that cultural evolution follows patterns similar to biological evolution.

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AI Coding: A Spectrum of Human-AI Collaboration

2025-08-02
AI Coding: A Spectrum of Human-AI Collaboration

This article explores strategies for AI-assisted coding, describing the process as a spectrum of human-AI collaboration. From minimal AI reliance (similar to discussing problems with colleagues at another company) to maximum reliance (delegating tasks to a junior programmer), the author details different levels of interaction and stresses the importance of choosing the right strategy based on the context, balancing learning depth and efficiency.

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Development code collaboration

£16 USB-C Smartwatch: Surprisingly Good!

2025-08-09
£16 USB-C Smartwatch: Surprisingly Good!

The Colmi P80, a £16 smartwatch, boasts a USB-C charging port – a rarity. The author, driven by a desire for USB-C compatibility across all devices, tested its capabilities. Surprisingly, the watch offered impressive battery life (around 5 days), accurate heart rate and sleep monitoring, and decent functionality. While the accompanying app is basic and some features are limited, the overall performance far exceeds expectations for its price point.

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AI: Ramblings of a Startup Founder

2025-05-22

A small startup founder shares their evolving perspective on AI in software engineering. Initially skeptical, they've found AI tools can boost productivity, but liken them to eager, error-prone interns needing constant guidance. Over-reliance, however, hinders learning and independent problem-solving. The author stresses critical thinking, cautioning against AI's allure and advocating for tackling complex problems beyond AI's capabilities to remain competitive. The piece explores the tension between leveraging AI's efficiency and fostering genuine skill development.

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Startup

Bodyoids: A Technological Leap with Ethical Quandaries

2025-04-08
Bodyoids: A Technological Leap with Ethical Quandaries

The concept of 'bodyoids,' artificially grown human-like tissues or organs, is no longer science fiction. While offering potential solutions to organ transplantation and ethical concerns surrounding animal research and food production, bodyoids raise profound ethical questions. The central dilemma: should bodyoids, created without pregnancy or parental involvement, be considered human and afforded the same rights and respect? Consent for using cells to create them, and the potential devaluation of human life lacking consciousness, are key issues needing careful consideration before this revolutionary technology is further explored.

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Analyzing the Entire Hacker News Dataset with DuckDB

2025-04-30
Analyzing the Entire Hacker News Dataset with DuckDB

The author downloaded the complete Hacker News dataset—a 20GB JSON file containing everything ever posted on the site—and analyzed it using the DuckDB database. The post details the download process and uses SQL queries to calculate 12-week moving averages of the frequency of mentions for specific programming languages (Python, JavaScript, Java, Ruby, Rust). The author praises DuckDB's ease of use and speed, humorously suggesting future possibilities like training LLMs on the dataset.

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Development

AI Levels the Playing Field in a David vs. Goliath Lawsuit

2025-06-10

After a grueling two-year lawsuit, Calm Company Fund, a small firm, secured a favorable settlement. The author details how leveraging AI helped level the playing field against a well-funded opponent. The article highlights the inherent bias against defendants in the US legal system, where costs are exorbitant, and recovery is rare even with a win. Initially relying on lawyers, the author found themselves trapped by mounting bills. The turning point came with using AI for legal research—reviewing contracts, understanding case law, and strategizing—significantly reducing costs and ultimately leading to a better settlement. The article stresses that AI doesn't replace lawyers but empowers entrepreneurs to understand legal processes better, improving negotiating leverage, and gaining an advantage in legal battles.

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Startup

Amazon Forces a Privacy Trade-off for Alexa Users

2025-03-14
Amazon Forces a Privacy Trade-off for Alexa Users

Amazon will now delete Alexa voice recordings by default, but this disables the Voice ID feature for users who opt out of saving recordings. Voice ID allows for actions like sharing calendar events. This decision sparks debate about the balance between user privacy and convenience. Past controversies include reports of Amazon employees listening to Alexa recordings and viewing Ring camera footage. Amazon claims this move improves speech recognition and emphasizes encryption and security measures. However, analysts suggest Amazon prioritizes profitability through its Alexa+ subscription service over user privacy concerns.

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Tech

Warping in Fan-out Wafer-Level Packaging: Modeling, Measurement, and Control

2025-02-28

The end of Moore's Law has spurred advancements in advanced semiconductor packaging, such as fan-out wafer-level packaging (FOWLP). FOWLP enhances performance and efficiency by packaging chips at the wafer level and redistributing interconnects. However, warping during FOWLP manufacturing poses a significant challenge. This paper reviews methods for measuring (Moiré interferometry, digital fringe projection, digital image correlation), modeling (Stoney's equation, Timoshenko's theory, finite element method, AI/ML models, multi-scale approaches), and controlling warping. Warping is primarily determined by material properties (coefficient of thermal expansion, glass transition temperature, Young's modulus), process parameters (temperature profiles, mold cure rate, mold flow rate), and geometry (layer thickness, chip geometry, chip layout, redistribution layer). Future research directions include the need for more accurate material data, multi-scale models, and the development of digital twin technology for real-time warping control.

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Decoupling Time Allocation from Capacity Allocation: The Key to Improved Team Efficiency

2025-09-19
Decoupling Time Allocation from Capacity Allocation: The Key to Improved Team Efficiency

This article explores the misconceptions surrounding team capacity allocation. Many companies equate time allocation with capacity allocation, overlooking systemic factors affecting team capabilities. The author points out that capacity is not merely the sum of hours worked but encompasses team skills, tools, processes, and more. Focusing solely on time allocation while neglecting system optimization leads to inefficiency. The author recommends distinguishing between 'time allocation' (where the team spends its hours) and 'capacity allocation' (the team's true ability to deliver outcomes), considering various disruptive factors, for improved team efficiency.

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Development capacity allocation

Sound Only You Can Hear: Breakthrough in Directional Sound Fields

2025-03-22
Sound Only You Can Hear: Breakthrough in Directional Sound Fields

Researchers have developed a technology to create 'audible enclaves,' localized sound pockets isolated from their surroundings. This technology uses nonlinear acoustics, generating audible sound by intersecting two ultrasound beams of different frequencies. Ultrasound itself is silent; audible sound is only produced at the intersection. This promises to revolutionize entertainment, communication, and spatial audio experiences, enabling personalized audio in public spaces or creating private conversation zones. While challenges remain, such as nonlinear distortion and power efficiency, this technology represents a fundamental shift in sound control.

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Efficient Search in Local-First Web Apps using a DSL

2025-04-24
Efficient Search in Local-First Web Apps using a DSL

This article presents an efficient search system for local-first web applications built using a Domain-Specific Language (DSL). Leveraging TypeScript and parser combinators, a robust, maintainable, and extensible search engine is created. By defining an Issue interface and parsers, the system parses DSL queries, generates an Abstract Syntax Tree (AST), and ultimately produces predicate functions for data filtering. Performance tests demonstrate the system's ability to efficiently handle millions of records. The article also explores performance enhancements such as indexing, query optimization, and caching.

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Development

The Steep Price of Curbing R&D Tax Deductibility

2025-04-10
The Steep Price of Curbing R&D Tax Deductibility

New research reveals the significant negative consequences of limiting the tax deductibility of research and development (R&D) expenditures. Since 2022, US companies have been required to capitalize and amortize R&D expenses rather than deducting them immediately. The study finds that affected US firms experienced an average increase in their cash effective tax rate of 11.9 percentage points (62%). This resulted in decreased R&D investment among domestic-only, research-intensive, and constrained firms. In aggregate, these estimates translate to a $12.2 billion reduction in R&D in the first year among the most research-intensive firms. Furthermore, affected companies also reduced capital expenditures and share repurchases, suggesting that firms reduced other types of investment and shareholder payouts to meet the increased cash tax liability. The paper provides policy-relevant evidence of the substantial real-world effects of limiting innovation tax incentives.

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AI Boosts Gravitational Wave Detection: Deep Loop Shaping Breakthrough

2025-09-05
AI Boosts Gravitational Wave Detection: Deep Loop Shaping Breakthrough

Scientists have used a deep learning technique called Deep Loop Shaping to significantly improve the control precision of the Laser Interferometer Gravitational-Wave Observatory (LIGO), reducing noise by up to 100 times. This technology, using reinforcement learning, optimizes LIGO's feedback control system, enabling it to measure gravitational waves more stably. This helps astronomers delve deeper into the dynamics and formation of the universe, such as detecting more intermediate-mass black holes and studying neutron star collisions in greater detail. This breakthrough is expected to influence the design of future gravitational wave observatories and further expand our understanding of the cosmos.

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The Kelly Criterion: Beyond Gambling, a Life Strategy

2025-09-05

A Las Vegas escape room adventure sparked a deep dive into the Kelly Criterion. A friend's quest to use AI to predict American football games and optimize betting led to the discovery of this powerful formula. The author explored the underlying mathematics and philosophy, realizing its applicability extends far beyond finance and gambling. The Kelly Criterion advocates balancing risk and reward for long-term geometric growth, rather than chasing short-term gains. It's not just a formula, but a philosophy for making optimal decisions in life.

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Misc
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