Flex-π explained: from multi-stream world prediction to switchable robot policies

Flex-π targets dual-arm robot manipulation, using a single approximately 6-billion-parameter model to jointly learn actions, future appearance, 3D geometry, and object semantics, then selecting at deployment which content to generate. It addresses the tension that predicting the future can provide more information, yet not all tasks require all prediction content.