
Mira Murati says human-AI collaboration needs models that can listen while they think: "The types of models that we work with today, they're very turn-based. You talk, they talk, then they go off and think." "While they're thinking, it's almost like they're deaf and blind. They cannot perceive anything else about what's going on." "By contrast, our interactions with each other are very rich. There is a lot of information in our interactions when we are silent, when we're thinking, when we're interrupting one another." "Interaction models are able to capture all of this nuance. They're not turn-based. They're more like time-based interaction, where they're continuously taking in audio, text, video, and continuously providing output." "This enables you to catch things like interruptions and simultaneous speech, and really create a rich, high bandwidth interaction between humans and machines." @miramurati at Bloomberg Tech live with @emilychangtv



