Episode Description
What are “World Models,” and why should we care? Could AI really understand reality? Scott and Jhave sit down to explore the rise of World Models - the "engines" of machine intuition -to discuss how quickly they are evolving and what their existence means for the future of humanity (and the robots living alongside us)
References
Agarwal, N. et al. (2025) Cosmos World Foundation Model Platform for Physical AI. https://arxiv.org/abs/2501.03575
ByteDance. (2025) Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds. https://arxiv.org/abs/2511.08892
DeepMind SIMA Team. (2025) SIMA 2: A Generalist Embodied Agent for Virtual Worlds. https://arxiv.org/abs/2512.04797
Deng, J. et al. (2009) ImageNet: A Large-Scale Hierarchical Image Database. https://ieeexplore.ieee.org/document/5206848
Fisher, C., Coover, R., & Julian. (2026) [Untitled AR Skiing Project]. [No public URL available for this in-development project]
Li, F.-F. (2025) From Words to Worlds: Spatial Intelligence is AI's Next Frontier. https://drfeifei.substack.com/p/from-words-to-worlds-spatial-intelligence
Mao, J. et al. (2025) Robot Learning from a Physical World Model https://arxiv.org/abs/2511.07416
PAN Team, MBZUAI. (2025) PAN: A World Model for General, Interactable, and Long-Horizon World Simulation. https://arxiv.org/abs/2511.09057
Powers, R. (2000) Plowing the Dark. https://en.wikipedia.org/wiki/Plowing_the_Dark