Embodied AI
Embodied AI moves the exam from a chat box into the physical world, where actions are continuous, the environment shifts, grasps fail and no answer can be taken back.
Physical AI, VLA and world models get used interchangeably, but the borders are clear. The hard part of embodied AI is not model size but physical uncertainty: grasps slip, sensors are noisy, and latency destabilises control, while the safety margin never moves. Progress shows up in simulation, synthetic data and teleoperation datasets rather than in any single launch.
