@anarchyco Im sure weβll get there! Weβre building every day to get there in fact. But im not sure Iβm as impressed as you. Our next research is looking into prod failures and boy is it not as pretty as the demos on X π
I think most people multi-tasking with agents could benefit from slowing down
most of the stuff you're doing wont really matter- what's your P0? what would it look like if you gave it your full attention?
We're back as the #1 trending audio dataset on @huggingface π€
We held the top spot for 17 days in September, and interest has picked up again since we released our turn-taking model trained on OpenYap-1k.
Soon we can reveal some very interesting work. Keep building!
every breakthrough in my life has come from a bout of obsession...
1-2 months where i lock myself in the office, eyes glued to the screen, forgetting to eat
i've never found balance to work for me - in my eyes balance = maintenance, growth comes in bouts of obsession
i wish i could consciously trigger this obsession for anything i wish, but it seems like it's a force that takes over when it needs to
We trained a small turn-taking model and itβs #1 on @sesame's TurnBench.
We don't really believe in the future of turn-taking models, as conversation is too complex a dance to be learnt by a low-parameter endpointing mechanism.
Instead, as @juberti correctly quoted the other day: "it needs to be done by a large model that has significant conversational context and strong priors about human interactions".
However, we wanted to demonstrate what difference data can make. Most "natural" conversational speech data available today comes from strangers paired up on a gig platform and given a topic.
Our top spot is mostly earned by training in it on real conversations between friends and family, rather than implementing clever algorithmic ideas.
Our OpenYap Turn model takes #1 for end-of-turn on @sesame's TurnBench
Trained on 1,984rs of real conversation between friends and family.
Read the writeup: https://t.co/6W1qM0BkfB