After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs

In this episode of the Latent Space podcast, Alessio Fanelli and Swyx interview Fei-Fei Li and Justin Johnson of WorldLabs. They discuss the origins of WorldLabs, the concept of world models and spatial intelligence, and the balance between open science and proprietary research. The conversation explores the challenges and opportunities in building AI systems that can understand and interact with the 3D world, drawing parallels with the impact of AlexNet on computer vision. They also delve into the role of academia in AI research, the importance of multimodal learning, and the potential applications of Marble, WorldLab's 3D world generation tool, in gaming, VFX, robotics, and design. The episode further examines the differences between linguistic and spatial intelligence, and the future of AI architectures beyond sequence-to-sequence models.