Iterative deployment is vital; we want to avoid developing AGI in secret and instead allow society to engage with our models as they are released, which helps in understanding and shaping their use.

Deciding to start OpenAI was a pivotal moment for us. We almost didn't do it because AGI seemed like a crazy idea, and there were many other successful startups to pursue. It took a core group of people to look each other in the eye and commit to the mission, despite the doubts.

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

There is a delicate balance between being excited about AGI and the apprehension that comes with OpenAI's role in its development, which raises concerns about unilateral decision-making in AI governance.

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 founding spirit of OpenAI is focused on solving the safety problem associated with AGI, emphasizing that the greatest minds cannot solve it in isolation; they need to engage with reality and see how technology plays out in practice.

OpenAI was initially focused on developing superintelligence safely, but over time, safety became less of a priority as they shifted towards becoming a for-profit company.

The iterative process of deploying AI systems, gathering feedback, and learning is crucial for building safe systems as we advance into more complex AI.

I was drawn to OpenAI because of its mission to develop artificial general intelligence (AGI), which I believe is the most important technology we can build.