Thinking Machines Lab is a 2025-founded AI research and product company led by Mira Murati, former CTO of OpenAI. The organization addresses a concentration problem: training methods for frontier AI systems have remained largely confined to top labs, constraining public understanding and limiting users' ability to customize systems to specific needs. The team - comprising scientists and engineers who previously built ChatGPT, Character.ai, and contributed to PyTorch - focuses on making AI systems more widely understood, customizable, and generally capable through open science publications and code releases.
The company's technical work centers on multimodal systems designed to adapt across the full spectrum of human expertise, with an explicit architectural preference for human–AI collaboration over full autonomy. Their stack includes Python, Rust, PyTorch, React/TypeScript, Kubernetes, and Spark. Development priorities span training and analysis of frontier models, multimodal system design, and foundational ML framework work - reflecting the team's prior experience building widely-deployed products and infrastructure.
The operational model emphasizes open science: research findings and implementations are released publicly rather than held proprietary. This approach targets both the customizability bottleneck - where users cannot effectively tune systems to domain-specific requirements - and the knowledge distribution problem that limits informed discourse about frontier model development. Product outputs include multimodal systems and published research artifacts alongside the methodological contributions inherent in their open release practice.