🔥 Read this trending post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: When I first laid eyes on the FreeBSD Handbook, back in 2002, I couldn't believe what I was seeing. Six years of Linux, a relationship I've written about elsewhere, across various distributions, had trained me to hunt for documentation in fragments: often incomplete, often outdated, sometimes already stale after barely a year. Here was an operating system that came with a complete, accurate, up-to-date (as much as possible), detailed manual. I was already a convinced believer in Open Source, but I found myself reasoning in…
💥 Explore this must-read post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Every layer of review makes you 10x slower We’ve all heard of those network effect laws: the value of a network goes up with the square of the number of members. Or the cost of communication goes up with the square of the number of members, or maybe it was n log n, or something like that, depending how you arrange the members. Anyway doubling a team doesn't double its speed; there’s coordination overhead. Exactly how much overhead depends on how badly you botch the…
🔥 Discover this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: MariaDB is a popular open source SQL database which began as a fork of MySQL. MariaDB Galera Cluster is an active-active replication system for MariaDB which allows reads and writes on every node. In 2015 this author analyzed MariaDB with Galera Cluster and found that although Galera claimed to offer Snapshot Isolation, Codership Oy intentionally designed their system without a key Snapshot Isolation property, called first-committer-wins. This allowed MariaDB with Galera Cluster to lose or create money out of thin air in a simulated bank…
✨ Discover this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Beyond Meat CEO Ethan Brown has said, “It’s just not the moment for plant-based meat,” following the company’s recent rebrand. Beyond Meat rebranded as Beyond The Plant Protein Company last week, amid what Brown described as a “period of confusion” around plant-based proteins. Read more: Tesco Reports Plant-Based Growth Led By Health-Conscious ‘Scratch Cooking’ In an interview by The Associated Press and published by Fortune, Brown said, “For me, it is an opportunity to reshape the company around very real food that is directly from…
🔥 Check out this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Terminal-based video trimming tool. Mark in/out points and export trimmed clips with aspect ratio control. brew tap emin-ozata/homebrew-tap brew install lazycut Download the latest Windows binary from the releases page: lazycut_X.X.X_windows_amd64.zip Extract and add to your PATH, or run directly. Dependencies: ffmpeg: winget install ffmpeg or download from ffmpeg.org chafa: Install via Scoop: scoop install chafa Or build from source: git clone https://github.com/emin-ozata/lazycut.git cd lazycut go build ./lazycut video.mp4 Key Action Space Play/Pause h / l Seek ±1s H / L Seek ±5s i…
🚀 Discover this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Watch the demos · Prompts You describe what you want. An AI pipeline designs the architecture, generates the art, writes every line of code, captures screenshots from the running engine, and fixes what doesn't look right. The output is a real Godot 4 project with organized scenes, readable scripts, and proper game architecture. Handles 2D and 3D, runs on commodity hardware. Two Claude Code skills orchestrate the entire pipeline — one plans, one executes. Each task runs in a fresh context to stay focused. Godot…
🚀 Read this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: The US spends ~$14,570 per person on healthcare. Japan spends ~$5,790 and has the highest life expectancy in the OECD. That gap is roughly $3 trillion per year. This project finds it, one issue at a time. Each issue identifies one fixable problem, quantifies the waste from primary federal data, and recommends a specific policy fix. All code is open-source. Anyone can reproduce the analysis. Subscribe on Substack | MIT License | Contributing Savings Identified So Far # Issue Savings Key Finding Data Source 1…
![[2603.12229] Language Model Teams as Distributed Systems](https://viralpique.com/wp-content/uploads/2026/03/arxiv-logo-fb-800x500.png){kind=logo}
🚀 Check out this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: [Submitted on 12 Mar 2026] View a PDF of the paper titled Language Model Teams as Distributed Systems, by Elizabeth Mieczkowski and 4 other authors View PDF HTML (experimental) Abstract:Large language models (LLMs) are growing increasingly capable, prompting recent interest in LLM teams. Yet, despite increased deployment of LLM teams at scale, we lack a principled framework for addressing key questions such as when a team is helpful, how many agents to use, how structure impacts performance -- and whether a team is better…
🔥 Explore this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: AI agents have proven to be highly capable tools at code generation. Yet, as we push these models to high-stakes domains, ranging from frontier research mathematics to mission-critical software, we encounter a scaling bottleneck: the human review. The time and specialized expertise required to manually verify become the primary impedance of engineering velocity. We envision a more helpful generation of coding agents to both carry out their tasks and formally prove their implementations against strict specifications. Instead of debugging machine-generated logic, humans dictate what they…
🚀 Discover this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Who we are Trillions of dollars flow into global R&D every year, and a massive share of it goes to researchers manually reading papers, writing literature reviews, and assembling evidence packages. This is the work that decides whether a new drug or medical device reaches patients, and almost all of it is still done by hand. AnswerThis is building the operating system for scientific knowledge inside enterprises. Our agents search, synthesize, and draft evidence-based research autonomously. We have 200K+ researchers on the platform across universities…