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.

To successfully implement AI agents, start small with a well-known task, design for limited downside, leverage natural language for building, iterate with compassion, and gradually increase the agent's scope and responsibility.

Investing in OpenAI in 2018 felt simple because I had a strong belief in AI, despite the investment being unconventional and lacking a clear business plan.

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.

AI is driving unprecedented growth in startups, allowing small teams to achieve significant revenue milestones quickly, sometimes reaching $10 million a year within 12 months.

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 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.

The emergence of companies like DeepMind shows that innovation in AI isn't limited to big players; smaller companies can also make significant advancements.

Character.AI's founding story is a case of 'just build it and they will come,' which broke many conventional rules of the 2010s.