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About this paper
Möbius Team
The paper proposes Möbius Tokenizer, compressing each video frame into one token so a finite context can cover more time. It argues that longer accessible histories may expose long-scale regularities and outlines a unified continuous-diffusion Transformer for language, audio, and vision. Its one-million-token, 25-frames-per-second calculation spans 11 hours, but no long-video understanding experiment tests the proposed intelligence benefit.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.