How we built a realtime system for responsive voice AI in six months

TL;DR - OpenAI describes how it built GPT-Live, a realtime voice system for continuous, low-latency spoken interaction with AI, in a six-month development effort. It matters because turnless speech modeling removes the rigid push-to-talk/turn-taking bottleneck that makes most voice assistants feel sluggish and unnatural.

• Centers on a "turnless" speech model: rather than waiting for explicit end-of-turn signals, the system processes continuous audio so the model can listen and respond in an overlapping, conversational way.
• Paired with a low-latency serving architecture — the engineering emphasis is on end-to-end response time, implying tight streaming inference and pipeline optimization rather than batch request/response.
• Framed as a product/infrastructure post (build story over six months), so the contribution is systems and deployment engineering for realtime speech, not a benchmark result.
• Content provided is essentially a one-line abstract, so specifics on model architecture, latency numbers, and evaluation are not available here; the above is inferred from the title and summary.