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OpenAI’s GPT 5.3 Codex created itself according to Sam Altman

AI is nearing the point where it is capable of self-recursive and continuous self-improvement, and that summons in a new new age of AI.

Key takeaways

  • The real head-turner, however, is another claim the Sam Altman led company made about its development.
  • The imaginations of AI boosters, nonetheless, went into overdrive.
  • The responses to a post on the r/singularity subreddit about the news were filled with a mixture of doom-tinged hype, hype-tinged doom, and a good deal of gallows humor.
Cite or link to this article

Griffin, M. (2025) 'OpenAI’s GPT 5.3 Codex created itself according to Sam Altman', 311 Institute, 22 December. Available at: https://www.311institute.com/openais-gpt-5-3-codex-created-itself-according-to-sam-altman/ (Accessed: 1 October 2026).

On Thursday, OpenAI announced GPT 5.3 Codex, a new coding model that’s purportedly 25 percent faster than its predecessor, along with other impressive benchmarks. The real head-turner, however, is another claim the Sam Altman led company made about its development. GPT-5.3-Codex, supposedly, is its first Artificial Intelligence (AI) model “that was instrumental in creating itself,” with its team “blown away” by the results. And it’s not the first model made by itself, it’s the second after Anthropic’s AI Claude Opus 4.5 built its successor Opus 4.6.

Is the Singularity nearly upon us? Is this the long-awaited sign of recursive self-improvement, a point at which the machines are finally able to continually rewrite their own code to transform themselves into superior beings?

Not quite. In less sensational wording, OpenAI restates the AI’s role as being used to “accelerate its own development.” What that looked like, according to the blog post, is that “the Codex team used early versions to debug its own training, manage its own deployment, and diagnose test results and evaluations.”

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In other words, GPT 5.3 Codex helped the human coders with some of their tasks, impressive, maybe, but hardly a sign of humankind’s immediate obsolescence.

The imaginations of AI boosters, nonetheless, went into overdrive. The responses to a post on the r/singularity subreddit about the news were filled with a mixture of doom-tinged hype, hype-tinged doom, and a good deal of gallows humor.

“I hope everyone remembers how good a mid level manager I was before the machines came,” one user wrote. The sentiment extended to X. “Holy moly, so it begins!” tweeted another user, who runs an AI newsletter.

Taken together, it’s a sign of how the discourse around AI is still dominated by sci-fi concepts and rhetoric and distorted by hype. AI companies have been more than occasionally guilty of stoking the flames. Last month, the head of Anthropic’s Claude Code Boris Cherny also claimed that “pretty much” 100 percent of the company’s code is now AI-generated using its own model. What this actually looks like behind the scenes, though, remains hazy. And it’s still far removed from the idea of AI models building new models completely autonomously.

Anthropic, regardless, isn’t alone. With the new Codex release, Altman, who’s been on an emotional rollercoaster as of late, added to the pile with a sob story about how his coding tool was so good that it made him depressed.

“I built an app with Codex last week. It was very fun,” Altman tweeted. “Then I started asking it for ideas for new features and at least a couple of them were better than I was thinking of. I felt a little useless and it was sad.”

Who said the “vibe” in “vibe-coding” had to be good?

311 Intelligence

What this means for your organisation

Assistance, not autonomy.

The tool helped people debug training and manage deployment. That is useful acceleration, not a machine rewriting itself. Plans should rest on what the tools actually do.

Software work is changing fast.

Boris Cherny of Anthropic claimed that nearly 100 percent of the company's code is now written by AI. Even if overstated, engineering teams should expect roles to shift from writing code to reviewing and directing it.

Hype distorts decisions.

Sci-fi language and online excitement shape how people read these releases. Boards should ask for evidence on speed, quality and risk before reorganising teams around them.

Three questions for your next leadership meeting

  1. What share of our code is now written with AI assistance?
  2. How do we check claims about AI tools before we change teams?
  3. Which engineering roles shift from writing to reviewing code?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

AI is nearing the point where it is capable of self-recursive and continuous self-improvement, and that summons in a new new age of AI.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity programme, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. Introducing gpt 5 3 codex openai.com
  2. about the news reddit.com
  3. tweeted x.com
  4. claimed x.com
  5. tweeted x.com

Source: first published by the 311 Institute on 22 December 2025. Cite as: Griffin, M. (2025). OpenAI’s GPT 5.3 Codex created itself according to Sam Altman. 311 Institute. https://www.311institute.com/openais-gpt-5-3-codex-created-itself-according-to-sam-altman/

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