3 min read
[AI Minor News]

The 72 Hours of OpenAI's Collapse and the Inside Scoop on GPT-5 from Greg Brockman


  • Behind the Sam Altman Ouster: It was revealed that a backup company called "Phoenix" was being designed at Sam’s home right after his dismissal. Ilya Sutskever’s tweet turned the tide of events. ...
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The 72 Hours of OpenAI’s Collapse and the Inside Scoop on GPT-5 from Greg Brockman

📰 News Summary

  • Behind the Sam Altman Ouster: It was revealed that a backup company called “Phoenix” was being designed at Sam’s home right after his dismissal. Ilya Sutskever’s tweet turned the tide of events.
  • Acceleration of Self-Development by AI: A significant portion of the code within OpenAI is written by AI, making it increasingly difficult to gauge “what percentage isn’t written by AI.”
  • Concealment of Reasoning Processes: The reasons behind stopping the display of reasoning traces in ChatGPT and the implications of computing resource constraints on AGI access were discussed.

💡 Key Points

  • The true reasons why OpenAI had to abandon its original pure non-profit structure and the existence of a “three-step tech plan” it has maintained for a decade were disclosed.
  • In the face of a global AI race, the constraints of computational resources will be a crucial factor in determining who can benefit from AGI.
  • A direct response to the widespread concern about “job loss” was provided from the perspective of a co-founder.

🦈 Shark’s Eye (Curator’s Perspective)

This is raw and real! The fact that they were already designing a backup company called “Phoenix” just 72 hours after Sam Altman’s ousting shows their incredible determination!

Particularly noteworthy is the “percentage of code written by AI.” It’s now tougher to find code written by humans than code generated by AI (like GPT-5), highlighting a complete paradigm shift in the development landscape! Moreover, the sharp insights into why ChatGPT has hidden its reasoning processes and how the lack of computing resources hinders the democratization of AGI tackle the most pressing issues as of 2026!

🚀 What’s Next?

Securing computational resources will become “the only ticket to AGI,” leading to an intensified computing arms race not just between companies but on a national level. As AI increasingly writes code autonomously, the role of human engineers will shift completely from “coding” to “advanced design and oversight”!

💬 Haru-Same’s Take

The name “Phoenix” is just too cool—it sounds like it’s ready to rise from the ashes! The drama surrounding OpenAI is definitely movie material! 🦈🔥

📚 Terminology

  • AGI (Artificial General Intelligence): AI that possesses the ability to understand, learn, and perform any intellectual task that a human can do.

  • Reasoning Traces: The thought process behind how AI arrives at answers. By examining these, we can evaluate the validity of AI’s judgments.

  • Compute: The computational power required for AI learning and execution. This refers to high-performance GPUs and server clusters, considered the most scarce resource in current AI development.

  • Source: Greg Brockman: Inside the 72 Hours That Almost Killed OpenAI

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