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.

OpenAI emphasized collaboration and shared credit in research, opting to cite contributions as 'OpenAI' to avoid conflicts over authorship, fostering a culture of collective achievement.

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

An OpenAI employee named Dan encouraged me to return to Google, highlighting that this is a transformative moment in computer science.

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

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.

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'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.

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.