In the past few days, $SAPIEN has risen a lot, and everyone has started to pay attention to the robotics track. Someone asked, "Isn't $SAPIEN doing data annotation? What does it have to do with robot narrative?" Answer: SAPIEN is used to label data for robots. Specifically, it is the core infrastructure for robot AI training data. Through a decentralized network, it provides 3D/4D high-precision annotation data for robots (autonomous driving, industrial robots, service robots, etc.), directly supporting the model iteration of the robot's "perception-decision-execution" chain. Crypto projects basically cannot get the most direct angle of building robots. Therefore, the core of the crypto robot narrative is to enable machines to reliably perceive, understand, and act in the real world. This requires massive, high-quality multimodal data, especially: 1⃣3D/4D annotation: Environmental understanding based on multi-sensor fusion including LiDAR, camera, radar, etc. 2⃣Dynamic scene annotation: object movement and interaction behavior in the time dimension; 3⃣ Edge case coverage: Data scarcity issues in rare scenarios (such as extreme weather and abnormal objects). SAPIEN specializes in 3D/4D data annotation (LiDAR, video, radar). There is also a similar target on Base $AUKI @AukiNetwork, but Auki focuses on real-time spatial perception (DePIN hardware network), while Sapien focuses on high-quality training data (human annotation market).