Last month, we had 30,000+ hours of conversation. Yes, 30 thousand.
I’m the only engineer working on voice ai at @boardyai and here's what I'm noticing across the industry.
In the race for faster responses and more natural voices, I think we’re losing sight of what makes a conversation actually valuable. Helping someone understand.
Sometimes that takes more than words. It takes something you can see, point at, question, and explore together. That’s where I see conversational ai heading, and where I’m taking voice at Boardy.
I do think that voice ai pipelines still route almost everything through full ASR to generative decoding. A lot of latency and cost sits in that text-output step so reformulating the problem as constrained classification (audio to action) instead of open generation is def going to be the new paradigm shift
cool! we built something similar but using 3d models with poly-mesh expansions to learn about specific parts of any model a while back.
any model turned into an interactive learning exp
try it out with some preloaded models: mesh3d.vercel.app/
cc: @kushpatell_
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i’m afraid to say waterloo is not only taking over engineering but sparkling water in sf as well
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been a month since I moved to sf to work for a @ycombinator company
pushing the most code and learning at an insane rate
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