Releases

An independent careers index counted 53 live roles on Thinking Machines Lab's verified Ashby hiring board. The number is a point-in-time external snapshot.

Thinking Machines released Inkling-Small, a 276B-total-parameter mixture-of-experts model with 12B active parameters and performance comparable to the larger Inkling model.

Thinking Machines published Inkling's full weights and made the model available for customization through Tinker.

Thinking Machines released Inkling, a 975B-total-parameter multimodal mixture-of-experts model with 41B active parameters and up to a one-million-token context window.

Thinking Machines was reported to have grown from about 30 employees to roughly 120 over its first year.

Thinking Machines and NVIDIA announced a multi-year partnership to deploy at least one gigawatt of Vera Rubin systems, alongside an NVIDIA investment.

Tinker became generally available with vision input, Kimi K2 Thinking support and an OpenAI-compatible sampling interface.

The company released the open-source Tinker Cookbook with modern post-training implementations and examples built on the Tinker API.

Thinking Machines launched Tinker, a managed API that exposes low-level primitives for fine-tuning and post-training open-weight models.

Thinking Machines Lab closed a $2 billion seed financing led by Andreessen Horowitz with participation from NVIDIA, Accel, AMD, Cisco, ServiceNow and Jane Street.

At launch, Thinking Machines Lab was reported to have approximately 30 employees, including a number of former OpenAI researchers and engineers.

Mira Murati publicly introduced Thinking Machines Lab and its mission to build AI systems that are more understandable, customizable and collaborative.