Generalist's GEN-1 model brings physical AI to 99% reliability
Robotics startup Generalist just unveiled GEN-1, a physical foundation model that hits a 99% success rate on real-world manipulation tasks while running up to 3x faster than prior state of the art. The system is pretrained on over 500,000 hours of human wearable data and needs roughly one hour of robot-specific data to adapt to a new task. Why it matters: High failure rates have kept generalist robots off factory floors, but dependable self-recovery makes commercial deployment realistic.