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AIForbes Innovation4 days ago
Physical AI needs real-world training dataAlex 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.
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