AI

The state of open source AI.

A Letter From Our CTO, Raffi Krikorian

"In New Zealand's far north, a Māori broadcaster trains speech models for te reo —a language too small for any market —
under a license that keeps the data with its people. 

PwC, one of the largest accounting firms in the world, fine-tuned an open model on the language of finance 
and runs it today for hundreds of clients, on its own hardware, 
with no per-token meter running. 

Researchers in Lausanne built an open medical model with the Red Cross, 
tuned to its humanitarian guidelines, and are preparing clinical trials at home and in Tanzania. 

In East Africa, farmers diagnose cassava disease with a model that runs on the phone itself, offline, 
in fields the cloud has never reached. 

In Switzerland, a public consortium trained a national model on public supercomputers and 
released all of it: weights, data, training code. None of them asked permission, 
and none of them could have rented this. They own it — that is the whole idea.

We have been here before.
Mozilla exists because one company tried to own the front door to the web, 
and an open community rose up to make sure it never could. 
Twenty-five years later, someone is running the same play. 
We bet on open the first time. Open won. Together, we can do it again.

Our belief is simple: the path forward is competition and interoperability.
We believe in a world of many models, standard ways to plug them together, 
and the freedom to walk away from any vendor at any time. 
Open has a record here. It grew the pie and let more people own a slice of it.

Read what follows as a map:
where open AI is winning — some numbers surprised even us — and where it is exposed. A case that hides its weak points is an advertisement.”

https://stateofopensource.ai/

FULL
REPORT

https://stateofopensource.ai/state-of-open-source-ai-2026.pdf

S.6/2026