Dexterous robot data is expensive to collect. TwinDEX may have found a way to make it much more scalable. The system pairs a wearable manipulation interface with a structurally matched dexterous robotic hand for the X Square Robot, allowing humans to demonstrate tasks without occupying the robot itself. The interesting part is that the wearable interface and the robot hand are designed as two sides of the same learning system, aligning kinematics, contact mechanics, vision, sensing, and timing. In reported experiments, policies trained from scratch on robot-free data achieved learning efficiency comparable to on-robot teleoperation data. The collection throughput? More than 5× higher than on-robot teleoperation. For physical AI, the ability to collect more robot-relevant data without putting a robot in the loop could be a big deal.