Concurrent Cycle Collection: Garbage-Collected Smart Pointers in Rust for Scheme

2024-12-13

This article details the implementation of a concurrent cycle collector in Rust for garbage-collected smart pointers (Gc) within a Scheme interpreter. Gc functions similarly to Arc>, supporting interior mutability, cloning, and sending across threads. The article thoroughly explains the implementation of Gc, including thread-safe interior mutability using semaphores and read/write locks, and the implementation details of concurrent cycle collection based on the Bacon and Rajan algorithm. This includes the Trace trait, cycle detection, and mechanisms for handling concurrent modifications.

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Ollama Turbo: Blazing Fast Open-Source LLMs

2025-08-06
Ollama Turbo: Blazing Fast Open-Source LLMs

Ollama Turbo is a new way to run large open-source language models using datacenter-grade hardware. Many new models are too large for typical GPUs or run too slowly. Ollama Turbo offers a solution for fast execution, compatible with Ollama's App, CLI, and API. Currently in preview, it supports gpt-oss-20b and gpt-oss-120b. It works with Ollama's CLI, API, and JavaScript/Python libraries. Importantly, Ollama doesn't log or retain any queries made in Turbo mode. All hardware is US-based. Usage limits (hourly and daily) are in place to manage capacity, with usage-based pricing coming soon.

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AI

ChatGPT Overuse in Engineering Psychology: A Group Project Nightmare

2025-08-07

An engineering psychology student recounts their frustration with groupmates excessively relying on ChatGPT for a class project. Their teammates directly pasted AI-generated text into their project proposal, resulting in irrelevant and low-quality content. This significantly increased the student's workload and demotivated them. While acknowledging the potential benefits of using ChatGPT for inspiration, the student criticizes the uncritical adoption of AI-generated content without evaluation or understanding.

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Development group project

CodeMic: AI-Powered Code Generation Tool

2024-12-22

CodeMic is an AI-powered tool that generates code based on natural language descriptions. It rapidly produces high-quality code, significantly increasing development efficiency. Both experienced programmers and beginners can easily use CodeMic, allowing them to focus on more creative aspects of their work. CodeMic supports multiple programming languages and continuously learns and improves, providing developers with powerful code assistance.

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Solving Minesweeper with the Boltzmann Distribution

2025-09-04

This article explores using the Boltzmann distribution from statistical mechanics to improve Minesweeper win rates. It uses a challenging Minesweeper scenario to illustrate the limitations of traditional probability calculations. The author proposes a Boltzmann distribution-based improvement, treating the number of remaining mines as 'energy' to calculate the probability of each possibility, thus more accurately judging the likelihood of each cell containing a mine. While the approximation deviates somewhat from the true value, the article highlights the potential of statistical mechanics models in solving seemingly simple combinatorial problems, especially with larger scales where the method's accuracy significantly improves.

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C Compiler in 500 Lines of Python: A Single-Pass Approach

2025-09-04

The author undertook the challenge of writing a C compiler in just 500 lines of Python, targeting WebAssembly. To achieve this, a single-pass compilation strategy was employed, foregoing an Abstract Syntax Tree (AST) and generating code directly during parsing. This resulted in a concise compiler, but at the cost of several features, including floating-point numbers and structs. The resulting compiler successfully compiles and runs simple C programs, demonstrating the feasibility of a single-pass approach.

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Development

Website Cookie Policy Explained

2025-03-05
Website Cookie Policy Explained

This website uses cookies to optimize the website and its service. Technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Some cookies store preferences not requested by the user, some are for statistical purposes (anonymous statistics), and some are used to create user profiles for advertising or tracking users across websites.

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Capital Letters Make Smaller QR Codes: A URL Encoding Mystery

2025-02-25
Capital Letters Make Smaller QR Codes: A URL Encoding Mystery

Two QR codes pointing to the same URL, one larger than the other. Why? The answer isn't error correction, but encoding mode. A URL in all capital letters uses the more compact alphanumeric mode, while lowercase uses byte mode, leading to data redundancy and a larger QR code. This highlights the impact of character set choices in URL encoding on QR code size. For the smallest QR code, use uppercase letters.

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Local Video-LLM Powered AI Baby Monitor: A Second Pair of Eyes

2025-05-25
Local Video-LLM Powered AI Baby Monitor: A Second Pair of Eyes

This AI Baby Monitor acts as a second pair of eyes, leveraging local video LLMs to enhance baby safety. It monitors a video stream (webcam, RTSP camera, etc.) and a simple list of safety rules. A gentle beep alerts you when a rule is broken. Running locally with the Qwen2.5 VL model via vLLM, it prioritizes privacy. While processing at roughly 1 request/second, its minimal alert and real-time dashboard provide an extra layer of security. Remember, it's a supplementary tool, not a replacement for adult supervision.

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The LLM Impact Curve for Software Engineers

2025-02-09
The LLM Impact Curve for Software Engineers

This article explores the impact of Large Language Models (LLMs) on software engineers of different experience levels. The author argues that the usefulness of LLMs follows a curve: junior engineers benefit the most, using LLMs to quickly learn and solve problems; mid-level engineers see more limited gains, as LLMs struggle with complex issues; senior engineers see the least improvement, relying more on their experience; while staff+ engineers can leverage LLMs to rapidly create proof-of-concept projects. In short, the impact of LLMs depends on the engineer's experience level and the tasks they work on, making them far from a silver bullet.

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Development

Fast Food vs. Home-Cooked Software: A Developer's Dilemma

2025-01-17

This article explores two contrasting approaches to software development: fast food and home-cooked. Fast food software uses agile sprints, prioritizing rapid iteration over long-term maintainability. Home-cooked software emphasizes upfront design, resulting in lean, stable code, but with longer development cycles. The author criticizes the prevalent fast food approach, highlighting its creation of massive technical debt and poor user experiences. A call for a return to a more quality-focused, maintainable approach is made.

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Development

Open-Source Game Engine boardgame.io Simplifies Turn-Based Game Development

2024-12-20
Open-Source Game Engine boardgame.io Simplifies Turn-Based Game Development

boardgame.io is an open-source JavaScript game engine designed to simplify the development of turn-based games. By automatically handling complex aspects like state management, multiplayer networking, and AI opponents, developers can focus on writing game logic. The engine supports multiple game phases, lobbies for matchmaking, prototyping capabilities, and various view layer technologies (such as React and React Native). Its powerful plugin system and traceable game logs further enhance development efficiency and player experience.

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Development turn-based game

LPython: A Python Compiler to Machine Code

2025-05-16

LPython is a Python compiler that translates type-annotated Python code into optimized machine code, supporting backends like LLVM, C, C++, WASM, Julia, and x86. Benchmarks demonstrate its speed in both compilation and runtime. It offers Just-In-Time (JIT) compilation and seamless interoperability with CPython. An alpha version is available, with bug reports encouraged.

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Development Python compiler

GGML Training Advancement: A MNIST VAE Training Example

2024-12-22
GGML Training Advancement: A MNIST VAE Training Example

GitHub user bssrdf shared an example of training a MNIST VAE using the GGML library. This example aims to use only the GGML pipeline and its ADAM optimizer implementation, filling a gap in available GGML training examples. Modifications were made to the ADAM and LBFGS optimizers for GPU backend compatibility, and several missing operators and optimizer hooks were added for testing and sampling. The results after 10 epochs were satisfactory.

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AI

AI-Powered Nano-3D Printing Creates Super Strong, Lightweight Material

2025-01-28
AI-Powered Nano-3D Printing Creates Super Strong, Lightweight Material

Researchers at the University of Toronto have used machine learning to design nano-architected materials with the strength of carbon steel but the lightness of Styrofoam. By combining a machine learning algorithm with two-photon polymerization 3D printing, the team optimized the nanolattice structure, achieving a strength-to-weight ratio five times higher than titanium. This breakthrough holds potential for aerospace applications, reducing fuel consumption and carbon emissions.

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Tech

“Bread and Circuses”: Reframing the Narrative of Roman Decline

2024-12-20
“Bread and Circuses”: Reframing the Narrative of Roman Decline

This article delves into the origins and meaning of the proverb “bread and circuses.” Tracing it back to Juvenal's satire, the author argues it's not a positive assessment of the Roman populace but a critique of their abdication of political responsibility in favor of basic needs and entertainment. The author challenges the common notion that “bread and circuses” caused Rome's downfall, attributing the decline to prolonged civil wars and instability, with the populace prioritizing peace above all else. Ultimately, the article reveals the true meaning of “bread and circuses”: a lament for the loss of political liberty and the constrained dreams of the Roman people.

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Apache Iceberg: Successor or Evolution of Hadoop?

2025-03-06
Apache Iceberg: Successor or Evolution of Hadoop?

Apache Iceberg, a cornerstone for modern data lakes, is experiencing a rapid adoption similar to Hadoop's rise. The article highlights that Iceberg solves core data lake problems, but its adoption often outpaces organizations' operational readiness, mirroring Hadoop's early days. It delves into challenges Iceberg faces regarding the small files problem, its complex ecosystem, metadata overhead, and the choice between self-hosting and managed services. Future trends for Iceberg are also discussed: consolidation of formats and catalogs, increased operational maturity, and applications beyond analytics. Ultimately, the article concludes that Iceberg's success hinges on an organization's readiness, skill set, and strategic goals.

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Development Data Lakes

LLPlayer: A Multilingual Subtitle Powerhouse for Language Learning

2025-02-25

LLPlayer is an open-source media player designed for language learning. It boasts dual subtitle display, AI-powered real-time subtitle generation (supporting 99 languages), real-time translation (134 languages), OCR subtitle recognition, support for various video and subtitle formats, instant word lookup, and more. Leveraging technologies like OpenAI Whisper, Google Translate, DeepL, and ffmpeg, LLPlayer offers high efficiency and includes a subtitle sidebar and spoiler protection. The entire codebase is written in C# for easy customization.

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Development subtitles

Building Efficient AI Agent Systems: Lessons from UserJot

2025-08-16
Building Efficient AI Agent Systems: Lessons from UserJot

UserJot experimented with building a multi-agent AI system to analyze customer feedback at scale and auto-generate changelogs. The author shares key learnings, centering on a two-tier architecture: primary agents manage context and task decomposition, while stateless sub-agents focus on single tasks. Efficiency comes from task decomposition (vertical and horizontal), structured communication protocols, agent specialization, and orchestration patterns like MapReduce. The article stresses statelessness, context management strategies, and error handling, offering performance optimization tips and monitoring metrics.

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Development

Nexus Mods Founder Steps Down After 24 Years

2025-06-17
Nexus Mods Founder Steps Down After 24 Years

After nearly 24 years of running Nexus Mods, the founder is stepping back from day-to-day management. Started in 2001 in a bedroom with a 56k modem, the site grew from a simple platform for modders to share their work into a massive community. The immense pressure, however, took a toll on the founder's health. He's found a suitable successor team, ensuring the site's community-first and mod-author-focused values remain intact. While stepping down, the founder will still be involved in community matters and assist the new team in guiding Nexus Mods into the future.

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Game

Coding at 50: A Programmer's Midlife Crisis?

2025-02-22

A seasoned programmer reflects on his career, finding large-scale, high-pressure coding frustrating: poorly understood domains, vast APIs, cryptic documentation, ever-changing tech stacks, and unpredictable bugs. He realizes this intensity isn't sustainable, especially at 50. He prefers building small, reliable tools—like a sub-28KB C and Erlang image compositor—over large projects. This raises questions about programmer career paths and sustainability: is high-pressure coding a young man's game?

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Development midlife crisis

Intel Delays Ohio Chip Plant Opening to 2030

2025-02-28
Intel Delays Ohio Chip Plant Opening to 2030

Intel's $28 billion semiconductor project in Ohio has been delayed until 2030, pushing back the opening of its first factory by five or six years. The delay, attributed to financial struggles and the need to align production with market demand, has raised concerns. However, Intel insists its commitment to the project remains strong, with $3.7 billion already invested. The revised timeline aims for responsible capital management and long-term success.

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AtomicOS: A Security-First Educational OS

2025-06-21
AtomicOS: A Security-First Educational OS

AtomicOS is an educational operating system built from scratch, prioritizing security over performance. It utilizes a deterministic programming language, Tempo, and implements real memory protection, cryptography (AES-128, SHA-256), and a full MMU. While currently lacking features like a network stack, file system, and drivers, its security-focused design and implementation are noteworthy. The project is open-source but requires attribution and disclosure of modifications.

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Development

Polystate: Composable Finite State Machines in Zig

2025-06-23
Polystate: Composable Finite State Machines in Zig

Polystate is a Zig library for building composable finite state machines through type composition. It enforces programming conventions, recording the state machine's status at the type level and achieving composability via type composition. This improves the correctness of imperative program structures and encourages redesigning the program's state from the perspective of types and composition, thus enhancing code composability. Polystate automatically generates state diagrams, allowing users to intuitively understand program behavior. Examples demonstrate building simple state machines and complex ones through type composition, such as limiting PIN entry attempts in an ATM and reusing selection mechanics in a raylib game. The library leverages type-level programming to achieve conciseness, correctness, and safety.

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Development Composability

Fast Hash Tables and Dynamic Arrays in C

2025-01-22

This article demonstrates how to quickly implement C equivalents of C++'s `std::unordered_map` and `std::vector`. By crafting a custom allocator, counted strings, and an efficient hash function, the author presents flat and hierarchical hash table implementations, alongside a dynamic array. The article also covers string concatenation, environment variable manipulation, and enhanced hash table security, using Address Space Layout Randomization (ASLR) to improve collision resistance.

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25 Years Later: The Untold Story of the Mac OS X Dock

2025-01-06
25 Years Later: The Untold Story of the Mac OS X Dock

This blog post recounts the experiences of James Thomson, an early engineer on the Mac OS X Dock. He details his time working on the Dock at Apple in Ireland, including the initial design process, interactions with Steve Jobs, and his eventual departure from Apple. The story is filled with tension and intrigue, including secrecy surrounding the project, Jobs's demands about the engineer's location, and the challenges and triumphs Thomson faced during development. The post offers a fascinating glimpse into the creation of a pivotal piece of Mac OS X, and the journey of a software engineer.

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Development

FAA Hiring Scandal: A Decade-Long Legal Battle and Political Firestorm

2025-02-05
FAA Hiring Scandal: A Decade-Long Legal Battle and Political Firestorm

This article exposes a 2013 hiring scandal within the Federal Aviation Administration (FAA). In an effort to increase diversity among air traffic controllers, the FAA scrapped an effective aptitude test and implemented a flawed biographical questionnaire, resulting in numerous qualified candidates being rejected and sparking a decade-long legal battle. This event not only contributed to an air traffic controller shortage but also ignited political controversy, becoming a focal point of debate.

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Moon Landing Makes History: GPS Navigation Achieved on Lunar Surface

2025-03-05
Moon Landing Makes History: GPS Navigation Achieved on Lunar Surface

Firefly Aerospace's Blue Ghost lunar lander successfully touched down on the moon and achieved a groundbreaking feat: using Earth-based GPS signals for navigation on the lunar surface. This joint NASA-Italian Space Agency experiment (LuGRE) aboard Blue Ghost represents a significant leap forward for future Artemis missions. LuGRE set a new record for highest-altitude GNSS signal acquisition during its journey, ultimately achieving a navigational fix at approximately 225,000 miles from Earth. This autonomous navigation capability reduces reliance on human operators and promises to revolutionize future spacecraft navigation.

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Quickwit Acquired by Datadog: A Multi-Petabyte Search Engine's Cross-Continental Journey

2025-01-10
Quickwit Acquired by Datadog: A Multi-Petabyte Search Engine's Cross-Continental Journey

Quickwit, a multi-petabyte scale open-source search engine built by three engineers over four years across three continents, has been acquired by Datadog. This post details Quickwit's journey from an idea conceived in a Parisian gyoza restaurant to its acquisition. Overcoming challenges of cross-border collaboration, they built a highly efficient and manageable search engine using Rust, partnering with companies like Binance and Mezmo to achieve success. The acquisition marks a new chapter for Quickwit, which will continue as an open-source project under the Apache License 2.0, bringing new features.

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Development
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