The distinction between engineers and researchers at OpenAI was minimized to foster collaboration and understanding of the full stack, enhancing the quality of research and implementation.

OpenAI attracted talent by promising that researchers' work wouldn't be locked away but shared with the world, unlike at Google.

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

OpenAI's approach to research was more startup-like, focusing on opinions about necessary advancements rather than a centralized plan, which allowed for a balance between structured direction and exploratory freedom.

The creation of OpenAI was driven by the desire to ensure AI development was open and beneficial to the broader startup ecosystem.

OpenAI's decision to pursue iterative deployment of AI, rather than developing AGI in secret, was a pivotal choice that reflects our commitment to transparency and responsible innovation.

We believe that open-source models will drive more progress in AI, as contributions will come from various labs, not just the largest ones.

The collaboration between different labs and companies in developing open-source models is essential for maintaining competitiveness in AI.

I funded OpenAI with around 50 million dollars, intending it to be an open-source, non-profit organization to counter the closed-source, for-profit model of companies like Google.