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On October 23, 2026, Zhao Bin, founder and CEO of Agora, proposed the "five-level conversational capability" framework. According to an October 24 report by Leiphone, the framework advances conversational AI from L1, "answer one question at a time" self-perspective expression, step by step to L5, communication based on deep relationships; Zhao Bin also noted that conversational AI is moving from passive continuation toward proactive, natural full-duplex dialogue, and that real-time interaction infrastructure needs to support continuous collaboration between models and Agents through a global real-time transmission network, distributed cloud-edge-device joint inference, and real-time orchestration. QbitAI reported on October 26 that Agora proposed this framework at the iRTE2026 Real-Time Intelligence Conference and demonstrated the Agora Conversational Model multi-model collaborative hybrid dialogue system, which uses "fast and slow brain" collaboration to let the interaction model maintain real-time dialogue while the background model handles deep reasoning and tool calls. There are currently no subsequent development facts.
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Why is this Chinese company the one chosen by both OpenAI and Gemini for real-time voice interaction?Developments
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Zhao Bin proposes a five-level dialogue capability framework
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Oct 26
QbitAI
Why is this Chinese company the one chosen by both OpenAI and Gemini for real-time voice interaction?
At the iRTE2026 Real-Time Intelligence Conference, Agora proposed the "five-level conversation capability" framework and showcased the Agora Conversational Model, a multi-model collaborative hybrid dialogue system that uses "fast and slow brain" collaboration to let the interaction model maintain real-time conversation while the background model handles deep reasoning and tool calls. The conference also discussed the real-time interaction progress of leading vendors such as OpenAI GPT-Realtime and Google Gemini Live, as well as the three challenges that conversational AI must overcome to be deployed: alignment between models and business, the underlying technology foundation, and end-point hardware.
Oct 24
Leiphone
Shengwang CEO Zhao Bin proposes a five-level conversational capability framework, outlining the path of conversational AI toward AGI
Shengwang founder and CEO Zhao Bin proposed the "five-level conversational capability" framework at the iRTE2026 Real-Time Intelligence Conference, advancing conversational AI from L1, self-perspective expression of answering one question at a time, step by step to L5, communication based on deep relationships. He pointed out that conversational AI is moving from passive continuation toward proactive, natural full-duplex dialogue, and that real-time interaction infrastructure needs to support continuous collaboration between models and Agents with a global real-time transmission network, distributed cloud-edge-device joint inference, and real-time orchestration. The Shengwang conversational AI engine centers on full-duplex interaction and provides developers with SDKs, Skills, CLI tools, and Recipes.
Oct 23
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