Interaction Models from Thinking Machines Lab [P]
Summary
Thinking Machines Lab releases a research paper introducing new interaction models for AI systems.
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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.
@Saboo_Shubham_: This is not an Agent, just a single AI model. Thinking Machine just launched an interaction model that can simultaneous…
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.
@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.
Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
This research paper investigates how human personality traits and AI design characteristics jointly impact human-AI interactions in imperfectly cooperative scenarios using both simulated datasets (2,000 simulations) and human subjects experiments (290 participants). The study finds significant divergences between simulation and real-world interactions, with AI transparency emerging as a critical factor in actual human-AI encounters.