Just got my hands on the GPT Live specs. My first thought was how this immediately impacts our client-facing voice agents.
We've been wrestling with turn-taking logic forever. Stitching together separate STT, LLM, and TTS services always introduces that awkward conversational pause. 🚧 Getting an agent to gracefully handle a user interruption without losing its place is a massive state management headache.
GPT Live looks like it flattens this entire stack. The ability to process audio input while generating audio output is the key. 🧠 This isn't just about lower latency; it removes the entire "stop-and-wait" pattern from the agent's core loop. For our clients' scheduling bots, a user can now say "Wait, actually, is Thursday available?" mid-sentence, and the agent can react instantly. 💡 It makes the whole interaction feel less robotic.
It simplifies the core audio loop for sure. ⚙️ But it opens up new orchestration questions.
What's the best way to inject tool-use calls into a live stream without creating a noticeable pause for the user?