The Most Dangerous Illusion in Embodied Intelligence, Targeting Those Who Believe in Millions of Hours

The article explores the misunderstanding of data volume in the field of embodied intelligence, emphasizing the importance of data quality and efficiency. The author points out that simply accumulating data volume does not effectively improve model performance, but rather focuses on data diversity, information density, and the model's generalization and robustness capabilities. The article also introduces the practical approaches of Qiongche Intelligence in unbody data collection and world model construction, as well as how data loops and training loops enable large-scale deployment.