Physical AI needs real-world training data

Alex de Vigan, CEO of Physicl, argues that Physical AI cannot scale without data grounded in physical consistency. Synthetic data must respect geometry, depth, materials, and physics. A cup's surface, weight, and shadow matter. Models trained on visually realistic but physically incorrect data learn the wrong lessons.