@a3r-network

🚨Someone just open sourced a computer that works when the entire internet goes down. It's called Project N.O.M.A.D. A self-contained offline survival server with AI, Wikipedia, maps, medical references, and full education courses. No internet. No cloud. No subscription. It just works. Here's wh…

A teenager in the United States started publishing software at 14 in 1998, built the entire online infrastructure for the Occupy Wall Street movement in 2011, joined Google as a software engineer, quit in 2018, and then spent five years writing a C library that does something the entire industry sai…

DO YOURSELF A FAVOR: GO DOWNLOAD THIS NEW LOCAL MODEL AND KEEP IT IN STORAGE. Even if you don't have a massive GPU setup, having offline access to an intelligent model is a crucial insurance policy. Free API access won't necessarily last forever. Right now, the 12B-27B range is the absolute sweet…

INCREDIBLE Someone on r/LocalLLaMA did an incredibly practical thing They took a tiny 0.6B model that was trash at task (Text2SQL) Created a knowledge distiliation agent with a Claude Code skill And made the 0.6B model behave like a specialist using 100 examples The problem > Small Language Model…

Local AI hardware = capacity X bandwidth X software stack - Capacity tells you what fits - Bandwidth tells you how hard the box can breathe - The software stack tells you how much of the spec sheet you can actually cash out. Hardware by Memory Bandwidth - Mac Studio M3 Ultra: up to 512GB @ 819 GB/…

Local AI is free, fast & secure! So today we're introducing hf-mount: attach any storage bucket, model or dataset from @huggingface as a local filesystem. This is a game changer, as it allows you to attach remote storage that is 100x bigger than your local machine's disk. This is also perfect for…

You've been renting your AI. This is what owning it looks like. Local model. No account. No key. Free. Open source. No Electron. https://t.co/U4t106kujV

if you're just getting into local llms, do yourself a favor and start by building llama.cpp from source. not ollama, not lm studio. build llama.cpp once, it's genuinely just a git clone and a make command with cuda on, and it clicks. you see the flags, you control the quant, you run any gguf on the…

Introducing Magenta RealTime 2 🎺 - Open model for live music generation - Just 2.4B parameters, perfect for on-device - Low latency control - Control with audio, MIDI, and text We're releasing it with a series of apps to experiment directly in Mac! https://t.co/7b1HbY2OmN

We got Claude to teach open models how to write CUDA kernels. This blog post walks you through transferring hard capabilities (like kernel writing) between models with agents skills. Here's the process: - get a powerful model (like Claude Opus 4.5 or OpenAI GPT-5.2) to solve a hard problem - conve…

OSINT + AI 🧠 @vyntral's God’s Eye integrates local AI via Ollama for vuln analysis and reporting. No cloud. No APIs. Fully private. Free. AI is becoming a default layer in open source tooling, not a premium feature. Try it here: https://t.co/pL3X97qOsB https://t.co/OhlZP6gaOM

Apple just did something nobody expected. They turned 2 billion iPhones into local AI machines. They open-sourced coreai-models, the entire toolkit that lets you export any HuggingFace model and run it natively on iPhone, iPad and Mac with zero cloud. → Runs 100% on the Neural Engine → No cloud.…

AI phones - large models or small models? We recently open-sourced OpenPhone📱— a 3B parameter mobile agent foundation model! After a year of trial and error, here's what we learned about AI phones ✨ Open-Sourced AI Phone Agents: https://t.co/7qF3qItBvC 🤔 How do AI phones actually work? Simple: A…

Mission: Leave /no one/ behind. My DMs are full of people with generous offers to hire my help creating my setup. No. And I will be mad if you pay anyone for a few clicks you can do yourself. Here is your step by step guide. Requirements: desktop pc, subscription to a frontier model YOUR FRONTIE…

DROP EVERYTHING Everything you need to get started with Local AI completely FOR FREE Hardware. Software. Anything in between. > TheLocalAIBook DOT com Local LLMs From Zero to Hero Articles - Hardware foundations - Software stacks - Model mechanics > BuyAGPU dot AI The Buy a GPU Guide Thread…

- local llms 101 - running a model = inference (using model weights) - inference = predicting the next token based on your input plus all tokens generated so far - together, these make up the "sequence" - tokens ≠ words - they're the chunks representing the text a model sees - they are represented…