" AI in a Jupyter notebook is safe. AI on a race track—at 150 mph—is a different story." - Ajeet Mirwani When we accepted the High-Velocity AI Field Test , the challenge was clear: Build an AI system that could coach a driver in real-time. But in motorsport, "real-time" doesn't mean a fast web request (500ms). It means sub-50ms . At 150 mph, a half-second of latency puts you 110 feet further down the track, the difference between hitting the apex and hitting the wall. We quickly realized we couldn't rely on the cloud for everything. We needed a "Split-Brain" architecture: Gemini Flash 3.0 in the cloud for high-level strategy, and a fine-tuned Gemma designed for immediate, reflex-based coaching. While we haven't put the model in the driver's seat just yet, we have successfully completed the critical first phase: engineering the "brain" capable of understanding high-speed telemetry. Here is the deep technical dive into ho...
This is my mindless rambling.