Thinking Machines Lab ships its first model and argues interactivity is what OpenAI gets wrong about voice

Mira Murati’s startup, Thinking Machines Lab, has launched its inaugural AI model, positioning itself as a contender in the voice AI space by emphasizing interactivity over traditional question-and-answer formats. This release comes at a pivotal moment as competition intensifies among leading AI developers, particularly against established players like OpenAI and Google.

The new model processes audio, video, and text simultaneously in 200-millisecond chunks, a feature designed to enhance the quality of interactions. Murati argues that current models, including OpenAI’s GPT Realtime 2 and Google’s Gemini Live, fall short in delivering a truly interactive experience. By focusing on real-time engagement, Thinking Machines Lab aims to redefine user expectations and improve the overall functionality of voice AI systems. This shift could signal a broader trend in the industry, where interactivity becomes a key differentiator in product offerings.

As the market evolves, users can anticipate more dynamic and responsive voice AI applications that move beyond simple queries. This could lead to significant advancements in how businesses and consumers interact with technology, potentially reshaping user experiences across various platforms. Observers should keep an eye on how Thinking Machines Lab’s model performs in comparison to its competitors and whether it successfully captures market share in this rapidly growing sector.