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SongCraft, a latent flow matching based model trained for both generation and fine-grained editing, is presented, showing that a single model can support editing of lyrics, vocal melody, beats, and singer identity and the trade-off between reconstruction quality and editability is studied.
Forget complex architectures and task-specific designs: VLMs are already native 3D learners with the right training recipe.
Smaller LLMs can learn to predict when they'll fail, paving the way for efficient "ask for help" systems that rival the performance of much larger models.
Forget agents and world models – the future of computing could be learned directly from I/O traces, turning the model itself into the computer.
