Thinking Machines wants to build an AI that actually listens while it talks | TechCrunch
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Summary
Thinking Machines Lab, led by former OpenAI CTO Mira Murati, has unveiled an innovative AI model named TML-Interaction-Small. This model is designed to facilitate full duplex communication, enabling the AI to listen and respond at the same time, mimicking the flow of natural human conversation. Currently in the research preview phase, the model is expected to deliver response times that rival those of human interactions, enhancing the overall user experience in conversational AI applications. A public release is anticipated later this year, promising to push the boundaries of AI communication capabilities.
Takeaways
- TML-Interaction-Small aims to revolutionize conversational AI with full duplex communication.
- The model is currently in research preview, with a public release expected later this year.
- Response times are designed to be comparable to natural human conversation.
Why it matters
This advancement in AI communication technology could significantly improve user interactions with AI systems, making them more intuitive and effective.
PMs
For product managers, this technology offers an opportunity to enhance user engagement and satisfaction by integrating more natural conversational capabilities into products.
Developers
Developers can leverage this model to create applications that provide smoother and more interactive user experiences, potentially leading to increased adoption of AI solutions.
Students & job seekers
Students and job-seekers should be aware of these developments as they signal growing opportunities in AI-related fields, particularly in roles focused on conversational interfaces and user experience design.
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TechCrunch AI
Thinking Machines wants to build an AI that actually listens while it talks | TechCrunchRight now, every AI model you've ever used works the same way. You talk, it listens. It responds, you listen. Thinking Machines is trying to change that by building a model that processes your input and generates a response at the same time, so it's more like a phone call than a text chain.