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Synthesizing data environments from explicit world specifications, not just files, unlocks scalable training for data agents and reveals a fundamental computation-insight gap in frontier models.
Achieve significantly better vocal-to-accompaniment generation by reformulating it as a discrete masked diffusion process, finally balancing acoustic fidelity, coherence, and orchestration.