Mechanism◆Article
The difference between ChatGPT Work on mobile versus on desktop is spectacularly unintuitive — on mobile, switching from Chat to Work mode gives the Code Interpreter unrestricted internet access, while on desktop the same mode is effectively a skin on top of Codex.
The article highlights the unintuitive difference between ChatGPT Work mode on mobile and desktop, noting that on mobile the mode unshackles Code Interpreter with internet access while on desktop it is effectively a simplified Codex interface. ✦ AI generated
Author · Simon Willison's Weblog · 2026-07-27 · original ↗
I think the difference between ChatGPT Work on a mobile device and ChatGPT Work inside the desktop app (where it's effectively a less intimidating skin on top of Codex) is spectacularly unintuitive. Short version: if you flip ChatGPT mobile from 'Chat' to 'Work' mode you get a version where its Code Interpreter container is no longer restricted from accessing the internet!
Read full article ↗excerpt · fair-use quotation
- ·Same mode, radically different behavior across devices
- ·Mobile Work mode unshackles Code Interpreter to the open web
- ·Desktop Work mode is just a simplified skin on Codex
- ·Difference is "spectacularly unintuitive" per the author
- ·Mobile: flipping Chat → Work grants unrestricted internet access
- ·Desktop: Work mode is effectively Codex behind a friendlier UI
- ·Same toggle, opposite underlying capability
Around this claim
This moment responds to
gives example → Giving AI access to your computer is the most powerful way to use it, but the naming conventions for the agentic modes across ChatGPT (Work, Codex) and Claude (Cowork, Code) are confusingly inconsistent and do not map onto each other.Author · Simon Willison's Webloggives example → The toggle between Codex and ChatGPT Work changes the surrounding experience but not the underlying capability of the product.Andrew Ambrosino · Big Technologyextends → The toggle between Codex and ChatGPT Work changes the surrounding experience but not the underlying capability of the product.Andrew Ambrosino · Big Technology