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AI Voice Chats Still Feel Awkward because Assistants Don’t Know when to Talk

The startup said the model reached 0.40-second turn-taking latency and outscored Gemini-3.1-flash-live and GPT-realtime-2.0 on real-time benchmarks.

  • On Monday, AI startup Thinking Machines announced 'interaction models,' a system achieving 0.40-second turn-taking latency through simultaneous input and output processing. The 'full duplex' architecture mimics the pace of natural human conversation.
  • Thinking Machines researchers designed this to solve a 'collaboration bottleneck' where current models freeze perception during generation. The two-part architecture pairs an 'Interaction Model' for constant dialogue with a 'Background Model' for sustained reasoning.
  • Native interactivity enables 'backchannel' cues and live translation without interrupting users. In benchmarks like RepCount-A and ProactiveVideoQA, the system successfully engaged with visual data, validating its potential for real-time industrial safety audits.
  • While not yet public, Thinking Machines plans to open a 'limited research preview' in the coming months, with a wider release targeted for later this year. The system remains a research project rather than a commercial product.
  • Founded last year by OpenAI CTO Mira Murati and former researcher John Schulman, the startup continues expanding its compute ambitions, including a partnership to deploy Vera Rubin systems. This positions the company as a significant contender in real-time AI.
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The Verge broke the news in United States on Monday, May 11, 2026.
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