This article posits that the infrastructure used for real-time communication is fundamental for developing seamless, ultra-low-latency voice conversations between humans and AI. It suggests that existing real-time communication technologies provide the necessary foundation for advanced conversational AI applications.
The immediate implication is that conversational AI for voice depends on the same real-time communication stack already used in live media applications. That puts infrastructure, not just model quality, at the center of deployment. The article ties this to streaming-adjacent technology because ultra-low-latency delivery is a familiar requirement in real-time communication and video delivery. What to watch next is whether Agora or other infrastructure vendors show concrete products or deployments built specifically around human-AI voice conversations.
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