Latent SpaceWednesday · July 29, 2026FREE

Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI

openaichatgptscalingproduct-design

In a podcast on Latent Space, Akshay Nathan of OpenAI details the development of ChatGPT Work, tracing its origins from Codex to reaching 10 million users. He discusses the engineering and product decisions that enabled scaling, emphasizing the importance of iterative design and user feedback. Nathan covers challenges such as handling diverse user needs and maintaining performance at scale. The conversation provides a behind-the-scenes look at how OpenAI built a product that integrates AI into workflows, focusing on practical lessons learned rather than technical specifics. No exact model names, versions, or benchmark values are mentioned in the source excerpt.

// why it matters

Insights from OpenAI's product lead on scaling AI tools to millions of users inform developer strategies.

Sources

Primary · Latent Space
▸ Read original at latent.space

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Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI — aigest.dev