Ankit Kumar is the cofounder and CTO of Sesame, a conversational voice AI startup. He is discussing technical architectural shifts in voice AI modeling.
Insight
Kumar: Voice AI models must decide every 100 milliseconds for natural interaction
“You need to make decisions at the hundred millisecond, let's say, Time segment so that if you're talking and the other person, you know, starts sort of making some noises that make it seem like they're trying to interrupt you or they want to say something, you…”
Prediction Not checkable as stated
Kumar: Near-term AI voice models will still lack dynamic conversational fluidity
“And the models that we have today, like CSM, for example, And probably some of the models that we'll have in the short term that will make the experience better will still not be modeling the conversational dynamics because they're making decisions that kind o…”
Insight
Kumar: Theoretical gains won't unseat transformers without matching years of optimization
“But because of all the engineering work that the community has done around Transformers, it's like, you know, it's very good. And you're not going to just sort of unseat that, you know, just by an idea, right? There's a lot of work to be done.”
Prediction Not checkable as stated
Kumar: Competitors will match Sesame's voice quality; there is no secret sauce
“The other companies, the other sort of chat products and so forth, they will get better voices. They're all, like, it's not gonna, we don't have some magical secret sauce on the technical side that is gonna be, like, impossible to replicate. They're gonna get …”
Insight
Kumar: AI voice interface success depends on product experience over model size
“We think that that interface layer, it's really not kind of a core bigger, bigger models, better, better reasoning question. It's really a product experience question. It's really a question of, can you make a system that people actually want to interact with,…”
Opinion
Kumar: Top AI labs under-invest in creative taste and humanities
“I do think that there is kind of an under-investment or an under-focus in the sort of Strong AI team world on product experience and sort of creative taste and kind of humanities maybe, in a sense, to kind of bring AI to experiences that kind of everyday peopl…”