Racecraft · Technical Deep Dive · Sensor Fusion & Gemma Generalization Fusing 100+ On-Device Sensors at 130 MPH , And Why Gemma Didn't Need Fine-Tuning Inside Racecraft's real-time telemetry engine: multiplexing AiM CAN bus, RaceBox BLE, OBDLink, and 6-DOF IMU streams on Android, zero-shot corner doctrine generalization, and benchmarking Gemma 4 E2B on Tensor G5 silicon. A few days ago after sharing early results from Racecraft (Project Koru) , a question popped up in one of the comments that immediately caught my attention: "Curious how your team handled real-time fusion of 100+ sensors on-device. Did Gemma need race-specific fine-tuning, or did general coaching logic generalize?" It's the exact right question to ask. When people hear "AI race coach running on a phone in real time at Sonoma Raceway," they usually picture one of two extremes: either a brittle set of hardcoded if (speed < 40) statements, o...
This is my mindless rambling.