arena

Embedded Arena: How Hardware Feedback Lets an LLM Agent Automate Edge AI Optimization

Researchers introduce Embedded Arena, a hardware-in-the-loop system where an LLM agent iteratively refines model and firmware by compiling, flashing, and measuring on real microcontrollers. Without hardware feedback, frontier models like Claude Opus 4.7 and Gemini 3.1 Pro fail entirely, but the closed-loop approach achieves first successful deployment in three iterations and surpasses human experts in seven. The method yields 250x compression for vision models and 400x for audio, enabling battery-free operation on commercial MCUs.