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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.
Mira Murati gives her first comprehensive interview since leaving OpenAI, detailing her project at AGI startup Thinking Machines Lab, emphasizing that humans and AI will collaborate as closely as a tandem bicycle.
Garry Tan tweets that he fine-tuned a Qwen3.5-397B model in a couple hours using Thinking Machines, praising its speed and usability for multimodal personal AI.
Thinking Machines announces research grants of $100,000 plus Tinker credits to advance human-AI interactivity, with proposals due June 19, 2026.
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.