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✨ Discover this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Open-source SEO & Search Indexing Infrastructure Built with Rust • Memory Safe • Developer First • Ready for the AI Search Era 🌐 Website 📖 Documentation 简体中文 IndexFlow is an open-source SEO and Search Indexing Infrastructure built with Rust. Modern websites are no longer competing only for traditional search rankings. With the rise of: Google Search AI Search (ChatGPT Search, Perplexity, Claude) Generative Engine Optimization (GEO) developers need better infrastructure to understand: How search engines discover websites Whether websites are technically optimized How content can…

🔥 Discover this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Learn the applied-LLM stack the way you'll actually be interviewed on it — framework-free, on a free API, from prompting all the way to serving, fine-tuning, and a red-team benchmark. Runnable Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set: building working systems on top of foundation models — model APIs, RAG, evals, agents, adaptation, serving — using raw APIs, not frameworks. What makes this different Framework-free, on purpose. You write the agent loop, RAG, and evals from raw API calls…

🔥 Discover this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Terminal-Bench-Science evaluates AI agents on workflows from researchers' own work. Scientists, not model developers or data vendors, set the bar for scientific capability in AI.Terminal-Bench-Science is a benchmark led by researchers at Stanford University and built by the team behind Terminal-Bench in collaboration with domain experts from a range of scientific disciplines and research institutions around the world. It measures the AI agent capabilities through a diverse set of challenging, expert-curated workflows drawn from scientific research. Terminal-Bench-Science is a continuous benchmark that evolves alongside frontier…

✨ Discover this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: In 2007, Tim Berners Lee write the essay The Giant Global Graph. Quote:There are cries from the heart .. for my friendship, that relationship to another person, to transcend documents and sites. ..Then any other site or program can use that information.It seems appropriate as X is sending cease-and-desist letters to Nitter to remember TBL's essay. Nitter is - was - a simple frontend to X which allows users to view tweets without logging in. Even that small use of proxying to the pages is…

💥 Discover this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: OpenTIE is an open-source reimplementation of Star Wars: TIE Fighter for Windows, macOS, and Linux. It runs the original game data natively on current systems and supports both the 1995 Collector's CD-ROM and the 1998 Windows release. With both editions installed, OpenTIE can combine the 1995 menus, cutscenes, and adaptive iMUSE soundtrack with the 1998 flight simulation and 3D assets. ImportantOpenTIE does not include any content from the original game. A complete installation of at least one supported edition is required. Install both editions to…

✨ Discover this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Experiential is an open source gateway and router for agent workflows: Use hosted, BYOK, and local models through one OpenAI-compatible API. Control which users and agents can use which models, for which use cases, and how much they can spend. Turn production traffic into a custom router or model optimized for quality, speed, and cost. 🌐 Platform | 📚 Docs | Discord Start a local OpenAI-compatible gateway. On first run, the setup wizard uses the shared provider, model, and reasoning-effort selectors, persists every selected provider…

💥 Check out this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Just take a second and scan these headlines. You’ve probably seen many more just like them.You’re also perhaps familiar with the gist of what that they describe: Americans overwhelmingly hate data centers. They overwhelmingly dislike Flock surveillance cameras. And now it seems they overwhelmingly despise Meta’s newest product, AI-infused Ray Bans that have been widely termed “pervert glasses,” too. Enveloping all of the above trends is a general, percolating dislike of Silicon Valley’s marquee pursuit, generative AI; a sentiment underscored, again, by a slate…

✨ Discover this must-read post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: M5Stack today launches PaperMono, a compact ESP32-S3-based E-Ink development terminal designed for low-power information display, interaction, and connected IoT projects. PaperMono is now available through the M5Stack Store.   Product Value Featuring a 3.97-inch 4-level grayscale E-Ink display, touch input, integrated frontlight, NFC, LoRa, microSD storage, RTC, and a built-in 1150mAh battery, PaperMono brings display, interaction, power, and connectivity into one integrated device.   Key Features Display and Interact The 3.97-inch 4-level grayscale E-Ink display provides a low-power viewing experience with the look and feel of…

💥 Explore this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: We’re opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers. MHS enables AI agents to operate multiple lab and manufacturing instruments, such as microscopes, liquid handlers, and robotic arms, in parallel, and perform intricate tasks ranging from routine drug discovery experiments to laser calibration on a quantum computer. The development of MHS began as a collaboration between Anthropic and HHMI Janelia Research…

🚀 Discover this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Big Pineapple, the platform behind 1.1.1.1, Gateway DNS, DNS Firewall, AS112, and several other Cloudflare DNS services, stores over 250 billion DNS cache entries at any given time. At that scale, wasting a single byte per entry costs more than 250 gigabytes of memory across our fleet.Five successive changes to how cache entries are stored in memory cut the per-entry footprint by over 50%. Across our fleet, these changes freed up roughly 100 terabytes of memory, equivalent to the amount of RAM in 130 of…