500万次围观，1X把「世界模型」真正用在了机器人NEO身上

Group 1 - The core concept of the article revolves around the introduction of 1X's new "brain," the 1X World Model, which enables the NEO robot to learn and understand the physical world through video observation, allowing it to perform tasks more autonomously [2][6][9] - The NEO robot now utilizes a video pre-training approach that allows it to generate a mental video of task completion before executing physical actions, marking a significant advancement in robotic intelligence [2][9][12] - The 1X World Model (1XWM) integrates a two-stage alignment process to convert video knowledge into actionable control strategies, enhancing the robot's ability to generalize across new tasks and environments without extensive pre-training data [10][12][24] Group 2 - The training process for 1XWM involves a 140 billion parameter generative video model, which is fine-tuned using human first-person perspective data and specific robot data to ensure compatibility with NEO's physical characteristics [12][15] - The model has demonstrated strong performance in task generalization, successfully executing tasks it has never encountered before, such as grasping unfamiliar objects and performing new action patterns [16][17] - The research highlights the importance of high-quality first-person data and detailed subtitles in improving video generation quality, which correlates with task success rates [21][24]