local.ai
Free, local & offline AI with zero technical setup
What it does
Experiment with AI models locally without the need to setup a full-blown ML stack. Powered by a native app created using Rust, and designed to simplify the whole process from model downloading to starting an inference server. No GPU required!
Does the same job
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Built this after getting tired of fighting local AI setup (CUDA issues, dependencies, API configs). Goal was to make something that just runs locally without all the overhead. Happy to answer questions or get feedback.
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, June 2023
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Heya HN, I've been working on a reddit-like platform as my primary side project for the last few years. Doing a (very) soft launch today, mainly because I want to use it to encourage discussion of alternatives. How non.io works: 1. Free to browse, paid to interact. 2. Minimum subscription is $2 (though you can choose more). I take $1 to run the servers, everything left gets split evenly between everything you upvote that month. It's a simple model, but I hope it's a better one than the freemium model we've been relying on for the last few years. Fundamentally I feel like any ad-supported…
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