UpNext AI Deep Dive: World Models, Spatial Intelligence, and the Race to Teach AI Reality
In this deep-dive episode of UpNext AI, we explore the growing debate around world models — AI systems designed to predict and reason about how the world changes over time. Large language models made AI useful as a software and knowledge interface, but researchers like Yann LeCun and Fei-Fei Li argue that acting in the physical world requires something more: spatial understanding, prediction, planning, and a model of consequences.
We break down why world models are attracting major investment, how they differ from traditional robotics, why video models changed the conversation, and what…
The skinny
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