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CMA-OT: Hierarchical Expert Supervision for Dance-to-Music Generation

Dance-to-music (D2M) generation aims to synthesize music that is rhythmically and stylistically aligned with dance videos. A key challenge arises from the semantic mismatch between sparse dance cues, such as rhythm and style, and the dense information required for music composition, including structure, instrumentation, and expressive dynamics. Existing methods typically rely on these sparse cues…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

Read the original at arxiv.org →

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A misalignment of AI in mathematics

https://terrytao.wordpress.com/2026/09/11/a-severe-misalignm... https://www.economist.com/science-and-technology/2026/09/11/... , https://unwall.app/www.economist.com/science-and-technology/...

Quoting Boris Cherny

Production code written by Claude should have a higher bar than if it was written by a human. At Anthropic, we have many guardrails in place to make sure this is happening: lots of lint rules, lots of…

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