Part 4/11:
Morgan Stanley reports that the neural networks powering Optimus are substantially larger than those used in Tesla’s cars. Why does size matter? Because a humanoid robot must interpret a 3D environment, process a vast array of sensor data, and coordinate complex, multi-joint movements simultaneously. Unlike a vehicle constrained to forward/backward and turning motions, Optimus has dozens of degrees of freedom—arms, legs, fingers—that need precise, synchronized control. Consequently, larger neural networks with more layers, nodes, and parameters are essential to manage these complexities effectively.