Governing Seamless Human-AI Interactions
As Thinking Machines' new interaction model shows, enhanced human-AI interaction will pose novel risks and require additional safety and governance layers to ensure humans remain protected
Governing Seamless Human-AI Interactions Thinking Machines, founded by Mira Murati, has released a research preview of an interaction AI model designed for continuous, human-like collaboration. Unlike current turn-based LLMs, this model features a multi-stream, micro-turn design enabling simultaneous dialogue, speech, and task execution. While innovative, this enhanced human-AI interaction necessitates new AI governance frameworks to address potential risks.
- Thinking Machines, founded by former OpenAI CTO Mira Murati, launched a research preview of a new interaction AI model.
- The model focuses on “human-like” interaction, moving away from traditional turn-based AI conversations.
- It employs a “multi-stream, micro-turn design” allowing simultaneous messaging, talking, listening, seeing, showing, and interjecting between humans and AI.
- Key capabilities include seamless dialog management, verbal/visual interjections, simultaneous speech, time-awareness, and concurrent tool calls/search/generative UI.
- This new paradigm is expected to be disruptive but also introduces new AI governance risks that require serious consideration. Continue reading https://foxvector.com/articles/aff2a0e9-c83a-4069-a31e-b7ab27bf8b4b
No comments yet.
Write a comment