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Cognitive Hierarchy:
- Video encoder extracts spatiotemporal features at multiple scales
- Text encoder provides semantic context
- Fusion transformer establishes cross-modal relationships
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Diffusion-Based Prediction:
- Conditional UNet generates future frames
- Training via masked future prediction
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Contextual Reasoning:
- Joint embedding space enables multimodal understanding
- Temporal coherence through video-text alignment
This architecture provides a foundation for building world models that understand temporal dynamics and contextual relationships through multimodal fusion and generative prediction.
