Native Active Perception as Reasoning for Omni-Modal Understanding
Passive models for long video understanding typically rely on a "watch-it-all" paradigm, processing frames uniformly regardless of query difficulty...
Summary
Passive models for long video understanding typically rely on a “watch-it-all” paradigm, processing frames uniformly regardless of query difficulty, causing computational cost to grow with video duration. Although interactive frameworks have emerged, they often rely on global pre-scanning, and their context cost still scales with video length. We propose OmniAgent, the first native omni-modal agen
Why it matters
This is part of the steady stream of AI work that reshapes how researchers and builders think about what’s possible. The full details are in the original source below — worth reading directly rather than relying on a brief summary.
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The primary source has the full paper, announcement, or reporting:
→ https://arxiv.org/abs/2606.19341v1
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