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MLLMs aren't blind and deaf because they can't see or hear, but because their text-trained decoders are ignoring most of what the encoders pass along.
Most speech LLMs are just expensive ASR pipelines in disguise, and under noisy conditions, they're actually *worse* than the individual components.
Forget bottom-up feature building: neural networks actually learn new skills through a top-down collapse of representations, and the shape of that collapse predicts what they'll learn next.
