IFM unveils open foundation world model PAN 2 trained on millions of hours of robot data
ZhitingHu · x · 2026-11-11
IFM introduced PAN 2, an open foundation world model for physical intelligence. Unlike LLMs that predict the next word, PAN 2 predicts the next world—what happens after each action, grounded in time, physics and space. It was pretrained on millions of hours of egocentric, robotic, and human-motion data, aiming to let AI simulate 'what if?' before acting.
More from Embodied
- Impossible Metals tests AI deep-sea mining robot at 4,000m, grabbing 450g of nodules — sven_ai · 2026-11-11
- Sharpa Humanoid Robot Takes Polaroid Photos at Shanghai CIIE — Scobleizer · 2026-11-11
- LeRobot 0.7 streams terabyte robotics datasets from the Hub, cutting data wait to 0.52% of step time — LysandreJik · 2026-11-11
- Fable 5.2 designs a Tamagotchi across KiCad, Inventor and Blender — ZeYanjie · 2026-11-11
- Compact exoskeleton glove with encoders and tactile sensing shown at CoRL 2026 — ZeYanjie · 2026-11-11
- Wheeled bases, not legs: why production-test humanoids should skip bipedal design — AIFlow_ML · 2026-11-11