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Barret Zoph, a co-founder of Thinking Machines who was ousted and briefly joined OpenAI, has now joined Google as VP of research, highlighting the high turnover rate of AI executives, especially at OpenAI.
Meta has hired AI veteran Luke Metz, who previously left OpenAI to join Thinking Machines and then returned to OpenAI, marking a personnel change in the tech industry.
Gergely Orosz comments on Lilian Weng leaving Thinking Machines to return to OpenAI, noting the misleading narrative.
Lilian Weng, co-founder of Thinking Machines, stepped down citing health issues and then rejoined OpenAI to lead a team focused on recursive self-improvement research.
Lilian Weng announces leaving Thinking Machines, focusing on health. She has been dedicated to making cutting-edge AI topics easy to understand.
Thinking Machines' Inkling, a 975B parameter model running locally on a Mac Studio via llama.cpp, listened to a doctor's visit audio and accurately diagnosed heart failure from subtle cues in small talk, demonstrating advanced medical reasoning without leaving the machine.
Thinking Machines' Inkling model has achieved the top ranking among US open weight models.
Thinking Machines releases Inkling, an open-source multimodal AI model that reasons across text, image, and audio modalities, with full weights available for fine-tuning.
Thinking Machines Lab, led by former OpenAI CTO Mira Murati, released its first open-weight AI model Inkling, a 975B parameter mixture-of-experts system designed for enterprise customization and calibrated responses, challenging the one-size-fits-all approach of major labs.
Inkling is a 975B-parameter sparse mixture-of-experts multimodal model accepting text, image and audio inputs and generating text outputs. Released with open weights for research, fine-tuning, and integration.
Thinking Machines, the lab founded by ex-OpenAI researchers, released a manifesto arguing for distributed AI over centralized AGI, emphasizing local knowledge, human-AI collaboration, and user-encoded alignment.
John Schulman reflects on the founding principles of Thinking Machines, emphasizing customization and human-AI collaboration, and shares the company's updated vision in light of recent progress in AI agents.
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.