Core Viewpoint - The article emphasizes that autonomous driving is a key pathway to physical AI, a perspective reinforced by industry leaders like NVIDIA's CEO Jensen Huang and Dr. Chen Yilun, CEO of Itstone Intelligent Navigation [2][3]. Group 1: Technological Insights - Autonomous driving is identified as a critical sub-task of embodied intelligence, showcasing the ability of intelligent agents to navigate complex physical environments [3]. - The end-to-end systems in autonomous driving unify perception, decision-making, and planning, providing a foundational framework for robots to understand and act in the physical world [3]. - High-quality, large-scale data is essential for driving advancements in intelligence, with the demand for such data in embodied intelligence being ten times greater than that in autonomous driving [3]. Group 2: Data Innovation - Itstone has introduced a "Human-centric" data collection paradigm, launching the world's first open-source multimodal dataset, World In Your Hands (WIYH), in December 2025, aimed at enhancing model learning of human interactions in the physical world [5]. - The integration of Human-centric data has significantly improved robotic operation success rates in chaotic environments, increasing from 8% to 60% [5]. - The data collection suite developed by Itstone achieves centimeter-level motion capture precision and generates high-density data streams, enabling a single data collector to produce 1.8TB of data in just 5 hours [6]. Group 3: Strategic Development - Itstone's comprehensive understanding of technology and engineering systems is facilitating the transition of embodied intelligence from laboratory settings to real-world applications, marking a significant step towards general physical AI [8].