Comment by robrenaud
7 hours ago
What do y'all think about the latency/quality tradeoff with LLMs?
Human voices don't take 30 seconds to think, retrieve, research, and summarize a high quality answer. Humans are calibrated in their knowledge, they know what they understand and what they don't. They can converse in real time without bullshitting.
Frontier real time-ish LLM generated voice systems are still plagued by 2024 era LLM nonsense, like the inability to count Rs in strawberry. [1]
I'd personally love a voice interface that, constrained by the technology of today, takes the latency hit to deliver quality.
[1] https://www.instagram.com/reel/DTYBpa7AHSJ/?igsh=MzRlODBiNWF...
Not affiliated with Sesame, but this is what the realtime models are trying to solve. If you look at NVIDIA’s PersonaPlex release [0], it uses a duplex architecture. It’s based on Moshi [1], which aims to address this problem by allowing the model to listen and generate audio at the same time.
[0] https://github.com/NVIDIA/personaplex
[1] https://arxiv.org/abs/2410.00037