@Saboo_Shubham_: This is not an Agent, just a single AI model. Thinking Machine just launched an interaction model that can simultaneous…
Summary
Thinking Machine launched a new multimodal AI model that can simultaneously listen, see, speak, interrupt, react, think, and use tools, demonstrating the convergence of models and agents.
View Cached Full Text
Cached at: 05/12/26, 12:52 PM
This is not an Agent, just a single AI model.
Thinking Machine just launched an interaction model that can simultaneously listen, see, speak, interrupt, react, think in the background, and use tools.
Model is becoming the Agent. And we are so COOKED. https://t.co/pXyWP5X10r
Similar Articles
Interaction Models
Thinking Machines AI announces a research preview of interaction models, a new architecture designed for native, real-time human-AI collaboration across audio, video, and text. By replacing turn-based interfaces with a multi-stream, micro-turn design, the model aims to keep humans actively in the loop while delivering state-of-the-art intelligence and responsiveness.
@rohanpaul_ai: Thinking Machines is replacing turn-taking AI with always-present AI. They just announced TML-Interaction-Small, a 276B…
Thinking Machines announced TML-Interaction-Small, a 276B MoE model designed for real-time, always-on interaction with sub-0.4s latency and integrated multimodal processing.
Interaction Models from Thinking Machines Lab [P]
Thinking Machines Lab releases a research paper introducing new interaction models for AI systems.
OpenAI's New Voice Models Want to Do More Than Talk Back
OpenAI has launched three new real-time audio models to enable continuous, multitasking voice interactions that prioritize long-context reasoning, live translation, and seamless tool use.
@thinkymachines: While Lilian is telling a story, the interaction model can track when she is thinking, yielding, self-correcting, or in…
The article highlights a research update describing an interaction model capable of tracking cognitive states like thinking, yielding, and self-correction during storytelling without a built-in dialogue management system.