Mozilla: The state of open source AI
stateofopensource.ai
July 17, 2026
11 min read
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59/100
Summary
A Māori broadcaster in New Zealand trains speech models for te reo, ensuring data remains with its community. PwC has fine-tuned an open model for financial language, serving hundreds of clients on its own hardware without a per-token fee. Researchers in Lausanne developed an open medical model in collaboration with the Red Cross, focusing on humanitarian applications.
Key Takeaways
- Open models are leading in adoption, with 79% of developers using them compared to 71% for closed models, though only 51% of open-model teams reach production versus 63% for closed models.
- A Māori broadcaster in New Zealand is training speech models for te reo under a license that retains data ownership with the community.
- Researchers in Lausanne have developed an open medical model in collaboration with the Red Cross, which is set for clinical trials in Switzerland and Tanzania.
- The majority of production tokens now route through open weights, indicating a significant shift towards open-source AI in practical applications.
Community Sentiment
Positives
- The rapid growth of open models handling tokens is a game changer, almost 5x increase in just four months — that’s a clear sign of shifting tides in AI development.
- Commenters are bullish on open models potentially dethroning giants like Anthropic and OpenAI, especially as hyperscalers can run these without licensing fees.
- The community's enthusiasm for open models demonstrates a desire for democratization, as many believe they will keep the system honest against monopolistic practices.
Concerns
- Skeptics argue that the costs of training open models remain astronomical, making them impractical for widespread use compared to frontier models owned by big players.
- Concerns about the lack of a competitive moat for companies like OpenAI and Anthropic are rampant, with many feeling their high investments may not yield sustainable advantages.
- Some commenters criticize the article's tone and writing style, suggesting it undermines the credibility of its pro-open model stance, which could alienate potential supporters.
