Thinking Machines Lab unveiled a new “interaction model” architecture designed for continuous real-time AI interaction across audio, video, and text. The system processes information in 200ms “micro-turns,” aiming to move beyond turn-based AI entirely. TheMarketAI Take: the concept is compelling, but for a company reportedly seeking a $50B valuation, the real test will be public deployment and real-world performance.

Thinking Machines Labs just revealed they’re building a “multimodal AI” system designed to work with language, visuals, and sound — aiming for what they call “collaborative general intelligence.” Backed by a staggering $2 billion seed round led by a16z and filled with ex-OpenAI talent, the young startup is quickly becoming one of the most closely watched players in the next wave of frontier AI.