A good Physical AI pipeline needs structure
Environments to run tasks, humans to create behavior, systems to refine data, and models to learn from it
That's why @axisrobotics architecture is interesting
It treats robotics data as a full stack, not just a dataset
So 79 bot accounts have already been banned after failing backend verification despite submitting 50+ tasks. This confirms that frontend acceptance ≠ valid contribution. Their backend verification is still filtering out bot and invalid data before rewards are distributed.