Thinking Machines Lab, the AI research company founded by former OpenAI CTO Mira Murati, has released its first public research under a new blog series titled Connectionism. Backed by $2 billion in seed funding and a team of former OpenAI researchers, the lab is focused on solving fundamental challenges in AI.
The inaugural post, authored by Horace He, explores how randomness in large language model inference arises from GPU kernel orchestration. The research outlines techniques to create deterministic responses, a breakthrough with potential applications in enterprise reliability, scientific research, and reinforcement learning. The publication marks a rare glimpse into one of Silicon Valley’s most closely watched AI startups as it prepares its first product launch.
