独家对话极映科技高鑫：我们为什么要做一个比Sora难10倍的物理世界模型？

Core Insights - The article discusses the limitations of traditional industrial simulation methods and highlights the emergence of a new company, Jiying Technology, which aims to revolutionize the field through AI-driven physical modeling [6][12][85]. Group 1: Industry Context - In July 2025, a significant acquisition occurred in the industrial software sector, with Synopsys acquiring ANSYS for $35 billion, marking the most expensive deal in the history of industrial software [2][73]. - Concurrently, AI industrial software companies like PhysicsX and Neural Concept secured funding of around $100 million, indicating a growing consensus in the capital market about the need to revalue the ability to predict the physical world in the AI era [3][74][75]. - Traditional physical simulation in sectors like semiconductors and aerospace is still hindered by outdated paradigms, often requiring days for complex calculations, which traps engineers in tedious tasks like mesh generation and parameter tuning [4][76]. Group 2: Company Overview - Jiying Technology was founded to address the inefficiencies in physical simulation, with its founder, Gao Xin, drawing from personal experiences in simulation and AI research [5][77]. - The company has successfully completed seed and angel funding rounds totaling several million yuan, with notable investors including Qiji Chuangtan and Yuanhe Puhua [5][77]. - The founding team consists of experienced professionals with over 30 years of combined expertise in physical simulation and software development, specifically targeting the demanding fields of semiconductors and aerospace [6][78]. Group 3: Technological Innovations - Jiying Technology aims to break through the limitations of traditional industrial simulation by focusing on a unified modeling approach that adheres to fundamental physical laws, such as conservation of mass and energy [8][80]. - The company has developed a physical world model that significantly reduces feedback cycles from days to seconds, achieving a response speed that is 100 times faster than traditional methods [9][82]. - This innovative approach has garnered interest beyond industrial applications, with gaming companies like Mihayou exploring the potential for creating credible physical boundaries in virtual worlds [10][83]. Group 4: Future Prospects - Gao Xin envisions a future where the ability to accurately map the real world could lead to the capacity to create entirely new worlds, representing a significant philosophical and technological leap [12][85]. - Investors view Jiying's 1.0 physical simulation model as a groundbreaking innovation that addresses long-standing industry pain points related to multi-physical field simulations [13][86]. - The company is positioned to solve traditional numerical simulation challenges, with applications spanning industrial research, embodied intelligence, and scientific inquiry [14][87].