Thinking Machines introduces Inkling, an…

Terms in this piece · Glossary

multimodal — A model that works with more than text — reading images, audio, or video, and sometimes generating them too.
mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.

Why it matters

Inkling adds a large option for long-, , and custom model workloads, changing the build-versus-API decision for professional teams.

Key quotes

“Our mission is to build AI that extends human will and judgment.”

“Inkling is not the strongest overall model available today, open or closed.”

“Inkling is just the start: our first release in a model family we will continue to build on.”

“I need to handle the full loop: create a training dataset and objective, fine-tune the current model on Tinker, evaluate it against the base model, and switch to the improved weights.”
Inkling

Intel

Thinking Machines introduces Inkling, an open-weight 975B MoE model