Open source has an important role, and we are developing a powerful open-source model that will be better than existing ones.

I believe that as AI models become more efficient and less expensive to train, there will be more reasons for companies to open source their technology.

We prioritize open source tools because they are integral to our business model, and we focus on what we can reasonably contribute back to the community.

The open-source ecosystem is evolving, and while we lead in this space, we must be cautious about relying on others to maintain the momentum we've built in open-source AI.

The open-source strategy is a good business strategy, as it fosters a robust ecosystem that enhances the quality of the products we build.

The transparency and high leverage of open-source models will lead future generations to prefer creating open-source solutions over closed-source ones, as they grow up learning about state-of-the-art machine learning.

Open publishing in AI research is crucial for realistic public policy and understanding the current state of the field, which benefits everyone involved.

I care a lot about understanding how our systems are used in the wild and the impact that has on real people around the world.

The AI research community generally favors openness, as it aligns with both broad interests and individual goals of researchers and companies.