Qwen

⚡ TL;DR Built a robot car controlled entirely by an LLM (Qwen3.5-27B on an RTX 5090) — no traditional control code The AI sees through a camera, reads ultrasonic sensors, and issues direct motor commands every ~1.3 seconds It follows me through the house autonomously for 15+ minute sessions — and has crashed into a plant pot twice Key insight: qualitative reasoning goes to the AI, quantitative enforcement goes to traditional code The operating system is optimized for a user that isn’t there anymore Operating systems were built for humans. What happens when the user is an AI? I built a robot car to find out. ...

Imagine an AI that coordinates your entire cooking process—faster, smarter, and without ChatGPT’s API costs. With my RTX 5090 workstation humming, I’m answering: Can a specialized language model outcook ChatGPT in the kitchen? Over the past few days, I’ve been fine-tuning Qwen’s 32B and 14B parameter models to create ChefBot, an experimental Specialized Language Model (SLM). Think ChatGPT for recipes, but tuned for cooking data and running without per-token API costs. ...