GEN-0 is a physically-grounded model that learns from real-world robot interaction rather than text or simulation. Built on a 'Harmonic Reasoning' architecture that interleaves thinking and acting, it was trained on 270,000+ hours of manipulation data — a corpus growing at 10,000 hours per week. Its capabilities scale predictably with more physical data and model size, though it operates in the embodied robotics domain rather than general language tasks.