Chris Manning

Stanford professor and one of the most influential researchers in natural language processing. Known for foundational work in NLP, representation learning, and language understanding, and here discussing Moonlake's symbolic and multimodal world-modeling approach.

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Apr 2, 2026 • 1h 7min

Moonlake: Causal World Models should be Multimodal, Interactive, and Efficient — with Chris Manning and Fan-yun Sun

Fan-yun Sun, Moonlake AI co-founder focused on interactive world models, joins Chris Manning, Stanford NLP pioneer, for a lively tour of AI worlds that are multimodal, interactive, and efficient. They dig into action-conditioned environments, symbolic structure over pure pixels, game engines as reasoning tools, persistent simulated worlds, programmable visuals, spatial audio, and why benchmarking should focus on real utility.

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