CausalWM is described as reasoning through motion before generating future frames
A passage quoted in a post calls the approach “Causal Chain-of-Thought.” It says CausalWM works out how objects move and 3D relationships change, then uses those results to generate future frames.
TLDR
The quoted passage says CausalWM aims to make the causal steps behind its future-frame generation explicit, rather than only predicting what future frames look like. The user who shared it speculates that AI could one day predict people’s thoughts, pointing to patterns in daily routines.
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