separating talking from thinking feels like the right split for realtime systems. curious how much of the realtime challenge is latency versus teaching the model when to pause and think.
That p999 section applies to long agent runs too. Anything running continuously is guaranteed to hit slow frames, so fast recovery matters more than a good average.
The "separating talking from thinking" design is elegant, but it puts a lot of trust in the lightweight voice model to route queries correctly. If it misreads the user's intent before delegating, the frontier model ends up reasoning on the wrong problem, and the latency savings buy a fast wrong answer. I wonder if there's any validation step where the frontier model sanity-checks the voice model's interpretation before committing to a response.
separating talking from thinking feels like the right split for realtime systems. curious how much of the realtime challenge is latency versus teaching the model when to pause and think.
The GPT-Live build is a good peek behind the curtain. Voice is a different beast than text.
That p999 section applies to long agent runs too. Anything running continuously is guaranteed to hit slow frames, so fast recovery matters more than a good average.
The "separating talking from thinking" design is elegant, but it puts a lot of trust in the lightweight voice model to route queries correctly. If it misreads the user's intent before delegating, the frontier model ends up reasoning on the wrong problem, and the latency savings buy a fast wrong answer. I wonder if there's any validation step where the frontier model sanity-checks the voice model's interpretation before committing to a response.