RealFeedApp Platonic Representation Theorem proved
Researchers proved a theorem stating that JEPAs trained on different modalities converge to a single world representation when misalignment is bounded. This explains why language models align with vision only through scale.
- Field
- how neural networks work
- What they did
- Researchers proved a theorem stating that models trained on different data types learn the same representation of the world if their data describes the same scenario.
- Why it matters
- This allows guaranteeing that language models will align with visual data not only through scale but also due to mathematical similarity in their internal representation.
#jepa#platonic representation hypothesis#multi-modal#representation learning
