Interaction Models from Thinking Machines Lab [P]
Summary
Thinking Machines Lab releases a research paper introducing new interaction models for AI systems.
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.
Inside Thinking Machines' Interaction Models (17 minute read)
New research from Thinking Machines critiques current single-threaded AI interaction models, arguing that they limit human-AI collaboration by forcing humans into clean input-output cycles. The lab proposes a new interaction model that supports continuous, multi-modal collaboration akin to real-time human conversation.
@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.
@augmind_fm: Interaction model poses new challenges for AI model inference engine. We discussed about it in our episode with @woosuk…
The article discusses how interaction models pose new challenges for AI model inference engines, with a focus on the vLLM project's solution as covered in a podcast episode featuring Woosuk Kwon.