The demonstration of the grasping capabilities of the Festo Bionic Handling Assistant is probably less about data augmentation than about fine mechanical design. I estimate about a 70% probability that the dexterity shown with the red ball in a controlled environment depends primarily on the quality of actuators and sensors, not on massive neural training. Experience shows that a targeted basic programming, like that for a palletizing robot, is more than enough for repetitive and predictable tasks, with high confidence (p=0.85).