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New Omni-Life benchmark reveals AI assistants struggle with real-world tasks

A new benchmark called Omni-Life has been developed to evaluate the performance of real-time omnimodal AI assistants in everyday scenarios. The benchmark includes 400 videos, featuring both synthesized hazardous situations and annotated real-world footage, designed to test AI's ability to provide timely and appropriate assistance or remain silent when unnecessary. Current mainstream models evaluated on Omni-Life demonstrate significant limitations, with the best performing configurations correctly handling only a small percentage of assistance-requiring videos. The research also highlights trade-offs between features like task reminders and response latency, indicating that existing models are not yet reliable enough for real-life applications. AI

IMPACT Highlights the gap between current AI capabilities and real-world deployment needs for omnimodal assistants.

RANK_REASON The cluster describes a new benchmark for evaluating AI assistants, presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Omni-Life benchmark reveals AI assistants struggle with real-world tasks

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The cluster describes a new benchmark for evaluating AI assistants, presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Mengze Hong, Ziwei Shang, Di Liang, Zijian Li, Liang Zhu, Hongyu Shan, Robin Zhou, Minlong Peng, Zhiqiang Kou, Jia Wang, Di Jiang, Chen Jason Zhang ·

    Omni-Life: Benchmarking Omnimodal Real-Time AI Assistants in People's Daily Lives

    arXiv:2611.02835v1 Announce Type: new Abstract: Real-time omnimodal assistants are expected to support people in everyday life, but audiovisual understanding alone does not establish whether they can provide timely and appropriate help. We introduce Omni-Life, a benchmark grounde…