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.

I initially aimed to start a robotics company, believing it would be the first successful business built on deep learning, but I ended up at OpenAI to learn from smart people and gain expertise in deep learning.

In 2016, OpenAI was seen as a long shot compared to Google in 1999, with many doubting its chances of success.

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.

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.

OpenAI started small, with just eight people in a room. The journey to becoming a significant player in AI was gradual, and it's important to dream big while starting small. Nothing big starts off that way, and the path to success is often unclear at the beginning.

When we started OpenAI, I was convinced that deep learning was genuinely working and that it improved with scale. This realization was crucial because it seemed like others weren't recognizing its potential.

The rules of AI businesses are being rewritten; for instance, OpenAI's investment in training models like GPT-4 was speculative but necessary for innovation.