Streaming AI assistants struggle to act on time and sustain guidance

Across 12 models, Omni-InteractScope finds low rates of timely tool use, unsolicited reminders and complete multistep guidance in continuous audiovisual streams.

Chinese Tech
Yinsong Yan · Ling Wang · Yuxuan Wang · Yifan Yang · Ruiyang Xu · Junming Lin · +8 more

The Hong Kong Polytechnic University · Alibaba Token Hub, Alibaba Group · Shanghai Jiaotong University · Tsinghua University · Fudan University

Research Digest··2 min read
Illustration: Streaming AI assistants struggle to act on time and sustain guidance
Yan et al. introduce a benchmark testing whether AI assistants watching and listening to continuous streams intervene when needed and keep responding as events unfold.

The authors built Omni-InteractScope from 1,479 human-annotated, cross-reviewed interactions containing 1,790 temporal targets.

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