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Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration

276B parameters, 12B active. Mira Murati's new model eliminates latency in real-time human-AI dialogue.

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Why it matters

Thinking Machines Lab's TML-Interaction-Small demonstrates a fundamental shift in multimodal architecture—parallel real-time interaction + async reasoning—that could redefine how AI systems handle continuous, full-duplex human engagement. This is a capability benchmark story from a prominent AI founder.

The key facts

9 to know
  1. 276B parameter Mixture-of-Experts model

  2. 12B active parameters

  3. Processes 200ms chunks of audio, video, text simultaneously

  4. Eliminates external voice-activity detection requirement

  5. Dual-component architecture: real-time interaction model + asynchronous background model

  6. Full-duplex exchange capability

  7. Research preview of TML-Interaction-Small

  8. Founder: Mira Murati (former OpenAI CTO)

  9. Published May 13, 2026 on MarkTechPost

Go to the source

MarkTechPostmarktechpost.com

Publisher excerpt: Thinking Machines Lab has introduced a research preview of TML-Interaction-Small, a 276B parameter Mixture-of-Experts model with 12B active parameters, built around a multi-stream, time-aligned micro-turn architecture that processes 200ms chunks of audio, video, and text simultaneously —…
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