World Models Need Causality, Not Pretty Pixels — Christopher Manning, Moonlake AI
MoonLake AI is building modeling infrastructure for practical physical, embodied AI grounded in causality.
“The North Star for AI, and indeed for cognitive science, will always be to understand and develop how to create embodied intelligence.”
Chris Manning of MoonLake AI frames embodied, physical AI as the North Star and argues world models require causal understanding rather than photorealistic pixel generation. The talk is largely an AI-history preamble, so the substantive claims about MoonLake's causal world-model infrastructure are only introduced, not yet detailed.