A fundamental principle of open source is that human genius can emerge from anywhere, and centralizing it in model labs is risky and less effective than allowing innovation to come from diverse sources.

Open-source technology enhances security by allowing a broader community to identify and address vulnerabilities, rather than relying solely on a small group of internal researchers.

Open source models are crucial for ensuring freedom of thought and speech, as they prevent the centralization of power in AI.

Building technology on open-source models reduces failure points, as it leverages the collective effort of the global community to ensure security and reliability.

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

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.

Just because a model is open-sourced doesn't mean it can't be subverted; there have been instances of backdoors in open source software that could also apply to AI models.

We must ensure that open-source tools and models are protected from regulations that could hinder entrepreneurship in the AI space.

Open source models are essential for ensuring that AI achieves its full economic potential, as they allow for broader access and innovation in AI technologies.