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Video Rebirth刘威:视频生成模型是构建世界模型的最佳路径
IPO早知道· 2025-08-18 02:31
Core Viewpoint - Video Rebirth defines the video-native world model as a combination of a world simulator and a world predictor, positioning video generation models as the optimal path for constructing world models, which may represent a critical breakthrough in AI's transition from perception to cognition [2][4]. Group 1: Technological Framework - The world model should possess three core capabilities: simulation for emulation functions, prediction for causal reasoning, and exploration for planning and decision-making. Simulation corresponds to fast thinking, prediction to slow thinking, and exploration to active thinking, which are essential for the world model [3]. - Current multi-modal models like GPT-4o can handle various inputs and outputs but remain in a passive response mode, lacking comprehensive environmental modeling and predictive capabilities. The world model aims to shift from passive to active thinking, enabling proactive series thinking [3]. Group 2: Innovations and Future Directions - The emergence of SORA has provided significant insights for the world model, demonstrating its feasibility through video generation and achieving high levels of spatiotemporal simulation. Although the current version has limitations, it offers a practical technical starting point for constructing the world model [3]. - Video Rebirth aims to address key issues in the mainstream DiT architecture, such as the lack of causal reasoning and inability to interactively intervene, by developing unique technical propositions and model paradigms, potentially leading to a "ChatGPT moment" in the video generation field [4]. - The company emphasizes that AI needs not only grand narratives but also the creation of realistic scenarios. By leveraging video generation to approach world modeling, Video Rebirth seeks to achieve significant technological innovation during a critical period for breakthroughs in AI cognitive capabilities [4].