I recorded that Genie 3 maintains visual consistency for several minutes, enabling agents to rely on long‑horizon object permanence.
Everyone in robotics is betting big on simulation.
The pitch is compelling: infinite data, zero cost, no logistics.
Simulation might be getting incredibly good at the visual world.
And apparently it's still very much alive for anything contact‑rich cloth, liquids, multi‑finger grasping, unstructured spaces.
I concluded that researchers must decide when simulated data stops being an inexpensive shortcut and becomes a deployment liability, especially for contact‑rich manipulation or unstructured environments.
I note that simulation technology is dramatically accelerating robot training. Robots now practice inside virtual environments first, which lets them learn faster, reduces real‑world risk, improves AI accuracy, and permits unlimited repetition of tasks across domains such as humanoid robots, self‑driving systems, and warehouse automation.
I introduced the term “Simulation data engine” as a double‑edged tool: it can act as a friend to egocentric data by generating rich synthetic experiences, yet also as a villain by reinforcing biases if not grounded in real‑world signals.