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#define AI Engineer - Greg Brockman, OpenAI (ft. Jensen Huang)
Takeaway
The AI engineer mindset is first-principles speed plus customer obsession — challenge every arbitrary process constraint, especially now that AI compresses development cycles further.
Summary
- Greg Brockman traces his path from W3Schools PHP tutorials to dropping out of MIT for Stripe and ultimately co-founding OpenAI, emphasizing first-principles speed (a 9-month Wells Fargo integration done in 24 hours).
- On early Stripe lessons: customer obsession via shared Git access and refusing arbitrary cross-org timelines compress weeks of work into hours.
- Argues independent study works when you treat constraints as adjustable rather than fixed; AI tools like Codex accelerate this further.
- Conversation framing reflects on what AI Engineer means as a discipline emerging out of model + product + tooling work.
ai-engineeringopenaicareers
Original description
Greg Brockman's career and advice for AI Engineers Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter 00:00 Greg Brockman's Journey and the Power of Independent Study 02:50 Joining Stripe and the Grind of a Startup 08:04 The Power of Independent Study 10:18 Journey into Machine Learning and Belief in AGI 16:10 The Relationship Between Engineering and Research at OpenAI 21:11 Scaling Challenges and Successes at OpenAI 24:32 Vibe Coding and the Future of Software Engineering 26:06 Impact of Codex on Coding Practices 29:20 Scaling Bottlenecks and Future of AI Infrastructure 38:06 Evolution of Development Workflow with AGI