Fei-Fei Li

Martin Casado × Fei-Fei Li × Yunzhu Li

World Labs is extending its spatial-intelligence stack into robotics by bringing SpAItial inside rather than manufacturing robots.The combination pairs Marble’s geometrically consistent worlds with real-to-sim-to-real robotics expertise to address scarce data and slow, costly evaluation.Near-term traction depends on proving aligned simulation in structured factories, warehouses, hotels, and restaurants, while homes and human-level efficiency remain distant risks.

Fei-Fei Li × Justin Johnson

World Labs is positioning spatial intelligence as a next foundation-model frontier, with Marble offering editable 3D worlds from text and images for gaming, VFX, film, and interior design.Gaussian splats enable real-time navigation and precise camera control, but physics remains the boundary between plausible creative output and trusted engineering software, while robotics expansion and the underlying data structure remain unresolved.

Peter Diamandis × Fei-Fei Li × Eric Schmidt

Schmidt puts true ASI beyond the industry’s “San Francisco consensus” of three to four years, even as compounding gains could pull the date forward.He defines it as intelligence equal to “the sum of everyone” or better than all humans, but today’s systems cannot quickly feed newly learned reasoning back into themselves; creative superintelligence may…

Sarah Guo × Elad Gil × Fei-Fei Li

World Labs is building spatial-intelligence foundation models that understand, reason about, interact with and generate plausible 3D worlds, targeting creation tools for designers, VFX artists, games and XR.The opportunity depends on scarce 3D data, simulation, synthetic and embodied inputs, while unresolved productization and haptics remain key risks before robotics and interactive worlds can scale.

Erik Torenberg × Fei-Fei Li × Martin Casado

World Labs is targeting spatial intelligence because language is a lossy representation of physical reality, while machines need 3D structure, depth, and compositionality to act.Reconstructing unseen geometry from 2D views could support robotics, design, and other horizontal markets, with generation enabling synthetic environments; execution depends on combining vision, graphics, optimization, data, and compute.