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Scaling LLMs significantly boosts social simulation accuracy in well-represented domains, but fails to enhance calibration for human cognitive biases.
Forget text-first: SODA models show that scaling native audio foundation models with interleaved semantic, acoustic, and text tokens unlocks powerful audio generation and cross-modal capabilities.
