Tesla's Optimus training pipeline is way more aggressive than public reporting suggests. "Robot university" has been running for months in Palo Alto, not a recent thing.
The data capture setup: workers in 24 lb suits rigged with up to 40 cameras + dense 3D sensor grids. Compare that to 9 cameras on a Tesla car. The data volume differential is insane.
Multiple suit configurations. Workers get randomized tasks, don't know origin. Three shifts running 24/7 across Palo Alto R&D and Texas factory. Separate data streams: home tasks (sandwich making) vs industrial tasks (HVAC installation on assembly line).
This is a classic data flywheel play. Orders of magnitude more training data than Tesla's FSD pipeline. Humanoid robotics is fundamentally a supervised learning problem at this scale, and Tesla's treating it like an infrastructure war, not an R&D project.
The data capture setup: workers in 24 lb suits rigged with up to 40 cameras + dense 3D sensor grids. Compare that to 9 cameras on a Tesla car. The data volume differential is insane.
Multiple suit configurations. Workers get randomized tasks, don't know origin. Three shifts running 24/7 across Palo Alto R&D and Texas factory. Separate data streams: home tasks (sandwich making) vs industrial tasks (HVAC installation on assembly line).
This is a classic data flywheel play. Orders of magnitude more training data than Tesla's FSD pipeline. Humanoid robotics is fundamentally a supervised learning problem at this scale, and Tesla's treating it like an infrastructure war, not an R&D project.