Inside the OpenAI Crisis: Greg Brockman on the 72 Hours That Almost Killed the Company
The trajectory of OpenAI has been marked by extreme highs and lows, moving from a non-profit research lab to a global powerhouse that defines the current AI era. In a recent interview on The Knowledge Project podcast, co-founder and President Greg Brockman provides a rare look behind the curtain, detailing the technical roadmap that guided the company for a decade and the internal chaos that nearly led to its collapse.
For those following the AI race, the story of OpenAI is more than just a series of product releases; it is a study in the tension between idealistic origins and the immense compute requirements of modern AGI development.
The Technical Blueprint: From Napa to GPT-5
According to Brockman, the foundation of OpenAI's success wasn't accidental but the result of a specific three-step technical plan conceived during an early offsite in Napa. While the specifics of the plan remain a closely guarded secret, the outcome is evident in the company's iterative approach to scaling.
One of the most striking revelations from the conversation is the extent to which AI is now building AI. Brockman notes that it is difficult to determine what percentage of OpenAI's own code is not written by AI, suggesting a recursive loop where the models are accelerating the development of their own successors.
The 72-Hour Crisis: The Firing of Sam Altman
One of the most discussed segments of the interview is Brockman's account of the 72 hours following the board's decision to fire CEO Sam Altman. Brockman describes the immediate fallout, including his own decision to resign the same day in solidarity.
He reveals the frantic nature of the recovery effort, including the design of a "Phoenix" backup company—a contingency plan created at Altman's house the morning after the firing to ensure the mission continued if the board's decision remained final. The crisis only shifted when a critical tweet from Ilya Sutskever changed the momentum, eventually leading to the majority of the staff signing a petition to reinstate Altman—a movement so massive it reportedly crashed Google Docs.
The Non-Profit Dilemma and the "Betrayal" of Origins
OpenAI began as a non-profit designed to ensure AGI benefited all of humanity. However, Brockman explains that the company had to abandon its pure non-profit structure to survive and scale. This shift has sparked significant debate among the developer and tech communities.
Critics on Hacker News have been vocal about this transition, with some arguing that the non-profit label was used as a strategic shield until the company was ready to pivot to a high-margin, closed-source API model.
"I just don’t understand why a non-profit was allowed to do this. Does this not set a precedent that non-profit doesn’t actually mean anything? You can just use a favorable structure until it’s time to enrich yourself."
This sentiment highlights a broader industry divide. While US-based labs like OpenAI, Google, and Anthropic have largely adopted the "rentier" model—privatizing the "compiler" of human knowledge and charging for access—some observers point to Chinese labs (such as DeepSeek and Alibaba/Qwen) as taking a different path by releasing open-weight models to build infrastructure and reputational capital.
The Future of AGI and the Job Market
Beyond the internal drama, Brockman addresses the existential questions surrounding AGI. He discusses why OpenAI stopped showing "reasoning traces" in ChatGPT—a move that balances user experience with the internal mechanics of the model—and the reality of a compute-constrained world.
When asked about the impact of AI on employment, the conversation touches on the fragility of the current tech stack. For developers building on top of OpenAI's API, the "drama weekends" involving board coups and sudden leadership shifts serve as a stark reminder of how dependent their businesses are on a single entity's internal stability.
Conclusion: The Fragility of the AI Race
The story of OpenAI, as told by Greg Brockman, is one of immense ambition and precariousness. Whether the company is a "big tech bro company" or the vanguard of AGI, its history reveals a fundamental truth about the current AI race: the technical breakthroughs are inextricably linked to the political and financial structures that support them. As OpenAI moves toward GPT-5 and beyond, the tension between its mission of openness and its commercial reality continues to be its most defining conflict.