Platonic Representation Hypothesis: World Models with Different Encoders Converge to Shared Representations
CSProfKGD · x · 2026-08-27
Key Findings
This research investigates the representational consistency of world models under different initializations.
- Convergence: When trained to predict the same environmental dynamics, world models initialized with different visual encoders tend to converge toward shared internal representations.
- Model Differences: Models based on ViT (Vision Transformer) show significant alignment and functional compatibility (verified via model stitching), while ResNet models remain relatively distinct and different.
This finding supports the "Platonic Representation Hypothesis," suggesting that an agent's understanding of the environment may converge to an essential, shared abstract form, independent of the specific initialization path.
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