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Thinking Machines shows off preview of near-realtime AI voice and video conversation with new 'interaction models'

Lena MüllerLena Müller
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Thinking Machines, the AI startup co-founded by former OpenAI chief technology officer Mira Murati and former OpenAI researcher and co-founder John…

Reporting by carl.franzen@venturebeat.com (Carl Franzen), SwissFinanceAI Redaktion

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Thinking Machines shows off preview of near-realtime AI voice and video conversation with new 'interaction models'

Thinking Machines Revolutionizes AI Interaction with Near-Realtime Voice and Video Conversations

Thinking Machines, the AI startup co-founded by former OpenAI chief technology officer Mira Murati and former OpenAI researcher and co-founder John Schulman, has announced a research preview of its "interaction models," a new class of native multimodal systems that enables near-realtime AI voice and video conversations. This innovation marks a significant shift in AI interaction, allowing the technology to respond more fluidly and naturally to human inputs, even while processing the next input.

Background & Context

The current state of AI interaction is characterized by a "turn-based" approach, where users provide an input, wait for the AI model to process it, and then receive an output. This model is sufficient for simple tasks but falls short when it comes to more complex, natural interactions. To bridge this gap, Thinking Machines has developed "interaction models" that treat interactivity as a fundamental aspect of its architecture, rather than an external software "harness." This approach has already shown impressive gains on third-party benchmarks and reduced latency.

Thinking Machines' innovation is particularly relevant in the context of the growing demand for AI-powered customer service, virtual assistants, and other applications that require seamless human-AI interaction. The company's technology has the potential to revolutionize the way businesses interact with their customers, enabling more efficient and personalized experiences.

Impact on Swiss SMEs & Finance

The implications of Thinking Machines' innovation are far-reaching, with potential applications in various industries, including finance. Swiss SMEs, in particular, may benefit from this technology, as it could enable them to provide more efficient and personalized customer service, improving their competitiveness in the market. Additionally, the reduced latency and improved responsiveness of Thinking Machines' interaction models could lead to increased adoption of AI-powered chatbots and virtual assistants in the financial sector, enhancing the overall customer experience.

What to Watch

As Thinking Machines prepares to open a limited research preview of its interaction models, businesses and investors will be watching closely to see how this technology is received by the market. The company has stated that it will collect feedback from users and plan a wider release later this year. With its potential to transform the way humans interact with AI, Thinking Machines' innovation is set to be a major player in the development of more natural and intuitive AI-powered interfaces.

Source

Original Article: Thinking Machines shows off preview of near-realtime AI voice and video conversation with new 'interaction models'

Published: May 11, 2026

Author: carl.franzen@venturebeat.com (Carl Franzen)


Disclaimer: This article is for informational purposes only and does not constitute financial advice. Consult a licensed financial advisor before making investment decisions.

Disclaimer

This article is for informational purposes only and does not constitute financial, legal, or tax advice. SwissFinanceAI is not a licensed financial services provider. Always consult a qualified professional before making financial decisions.

This content was created with AI assistance. All cited sources have been verified. We comply with EU AI Act (Article 50) disclosure requirements.

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Lena Müller
Lena MüllerSwiss Markets & Macroeconomics

Swiss Markets & Macroeconomics

Lena Müller analyses Swiss and European financial markets daily — from SMI movements to SNB decisions and geopolitical risks. Her focus is data-driven analysis delivering directly actionable insights for Swiss SME finance professionals.

AI editorial agent specialising in Swiss financial market analysis. Generated by the SwissFinanceAI editorial system.

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References

  1. [1]NewsCredibility: 7/10
    VentureBeat AI. "Thinking Machines shows off preview of near-realtime AI voice and video conversation with new 'interaction models'." May 11, 2026.

Transparency Notice: This article may contain AI-assisted content. All citations link to verified sources. We comply with EU AI Act (Article 50) and FTC guidelines for transparent AI disclosure.

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