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Graph-structured world models aren't just another architecture; they're a fundamentally different paradigm for injecting relational inductive biases that could unlock more robust and interpretable AI.
Multimodal models can now achieve state-of-the-art performance in real-world tasks like document understanding and audio-video comprehension with significantly reduced inference latency thanks to novel token-reduction techniques.