Brief IA

Thinking Machines Revolutionizes AI with Real-Time Listening

🤖 Models & LLM·Tom Levy·

Thinking Machines Revolutionizes AI with Real-Time Listening

Thinking Machines Revolutionizes AI with Real-Time Listening
Key Takeaways
1Thinking Machines Lab, founded by Mira Murati, is developing interaction models for AI.
2The TML-Interaction-Small model promises a response time of 0.40 seconds, mimicking a fluid human conversation.
3A limited research preview will be available in the coming months before a wider release later this year.
💡Why it mattersThis innovation could transform the way AIs interact with users, making exchanges more natural and dynamic.
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Full Analysis

Thinking Machines Lab Innovates with Interaction Models

The artificial intelligence startup Thinking Machines Lab, founded by Mira Murati, former CTO of OpenAI, recently unveiled a major advancement in the field of AI. The company introduced the concept of interaction models, aimed at transforming the way AIs interact with users.

Towards More Natural Interaction

Traditionally, AI models follow a simple exchange pattern: the user speaks, the AI listens, and then responds. Thinking Machines seeks to disrupt this model by developing an AI capable of processing inputs and generating responses simultaneously. This approach, called “full duplex,” resembles a smooth phone conversation more than a simple chain of messages.

Promising Performance

The proposed model, TML-Interaction-Small, is capable of responding in just 0.40 seconds. This speed is comparable to that of a natural human conversation and surpasses the performance of current models from OpenAI and Google. However, it is important to note that this technology is still in the research phase and is not yet available to the general public.

A Gradual Launch

Thinking Machines plans to launch a “limited research preview” in the coming months, with a broader release anticipated by the end of the year. While the benchmarks are impressive, the effectiveness of this technology in real-world situations remains to be proven. Users will have to wait to see if the technical promises translate into an enhanced user experience.

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