Core Viewpoint - The article discusses the shift in the AI industry towards embodied intelligence, emphasizing the integration of cognitive and action capabilities in machines, as exemplified by the launch of the "Dvorak Architecture" and the "T Series" computing platform by the startup Lingjing Zhiyuan [2][3]. Part 01: Providing Robots with "Brain" and "Cerebellum" - The "Dvorak Architecture" features a dual structure where the "brain" handles thinking and decision-making, while the "cerebellum" manages control and execution, connected by a real-time "neural pathway" system [5]. - The "T Series" computing platform supports a full range of computing power from mid to high-end, utilizing domestic chips and compatible with local operating systems, achieving full-stack autonomy [5]. - This "brain-cerebellum fusion" allows robots to perform real-time reasoning and execution, addressing the current gap in robot intelligence, as evidenced by low completion rates in robotic competitions [6]. Part 02: "Physical AI" - The founder's entrepreneurial journey reflects a consistent "software-hardware system thinking," transitioning from precision measurement and control in industrial automation to embodied intelligence [7]. - The evolution of AI in China is marked by two waves: the first focused on embedding AI into hardware and perception terminals, while the second, driven by models like ChatGPT, emphasizes generality and platform-based business models [8]. - The concept of "Physical AI" is introduced, highlighting the need for AI to understand and interact with the physical world, which is seen as a crucial step towards real-world applications [9]. - Lingjing Zhiyuan's team, with expertise in AI chips and control systems, is collaborating with various robotics manufacturers to target markets in dexterous hands and various types of embodied robots [9]. - The transition from industrial automation to general intelligence represents a natural progression for the company, focusing on integrating cognition and action in machines [10].