Tesla is refining its training methodology for its humanoid robot, Optimus, by adopting a purely vision-centric approach. This innovative strategy involves capturing videos of employees performing various tasks, enabling the robot to learn actions like object manipulation and T-shirt folding. This shift resonates deeply with Tesla's commitment to leveraging cameras for its autonomous driving technology. Initially, the company relied on motion capture suits and virtual reality equipment for data collection, but now believes that video data offers a more scalable and efficient means of training. Experts caution, however, that relying solely on video data to equip robots with the ability to comprehend and replicate human actions presents substantial challenges and may necessitate a harmonious blend of simulations and real-world practice to enhance skill acquisition. Tesla has revealed that the volume of data required for Optimus' training could surpass that needed for autonomous driving training by a staggering factor of 10.