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

Congratulations to HapWare (Techstars 2025) on winning the Consumer Technology Association Foundation Health Innovation Challenge at CES! 🎊 The challenge recognizes technology that helps solve real-world barriers for people with intellectual and developmental disabilities. At CES, HapWare showcased their ALEYE wearable that detects nonverbal and social cues such as emotions, facial expressions, gestures, and body language, and translates them into haptic feedback (e.g. sense of touch) on the wrist in under a quarter of a second. Founded by Jack Walters, Bryan Duarte, and Gabriella Pangelinan, HapWare's mission is to empower the disability community with confident communication and independence. And shoutout to Lotus (Techstars 2023) for getting runner-up! Founded by Dhaval Patel, Lotus is a wearable ring that controls objects at home by pointing.