World Labs

Fei-Fei Li proposes a functional taxonomy of world models, categorizing them into renderers and simulators based on the POMDP framework to resolve conceptual confusion in AI, emphasizing that spatial intelligence requires learning statistical structures of space-time physics rather than text alone.

VAST secured nearly $200M in new funding and officially disclosed its world model roadmap, Project Eden, pioneering a decoupled architecture of state evolution and visual rendering to enable persistent multi-user interaction, modular reuse, and linearly scalable compute for AI-native sandboxes and embodied intelligence simulation.

Fei-Fei Li defines the three functions of the world model: rendering, simulation, and planning.

VAST decoupled world state from visual rendering to build Project Eden — the world’s first deterministic model with independent state maintenance and multi-user interaction, breaking through limitations of video generation and static 3D reconstruction for true dynamic AI environments.

JunoBrain proposes a cognitive world model based on cognitive science to achieve higher-level embodied intelligence and has secured billion-level funding.

世界模型（World Model）被过度使用，其实际包含三种类型：渲染器、规划器和模拟器，各有不同功能。

AI应改变教育方式，强调人类资本的重要性，并推动教育系统改革。