Analysis of 22 GB Codex conversation data finds 71% of storage is screenshots

A developer's analysis of 22.83 GB of OpenAI Codex conversation data across 1,231 files found that embedded images account for 71% of the storage footprint, raising questions about how OpenAI handles user-submitted image data in coding agent conversations. The byte-level analysis, conducted September 2-3, 2026, hashed every image with SHA-256 to compare duplicates within and across conversations.

Analysis of 22 GB Codex conversation data finds 71% of storage is screenshots A developer analyzed their complete Codex conversation history totaling 22.83 GB across 1,231 files and found that embedded images account for 71% of the storage footprint. The byte-level analysis, conducted September 2-3, 2026, hashed every image with SHA-256 and compared duplicates within and across conversations. The findings raise questions about what OpenAI does with user-submitted image data in coding agent conversations. Topics Sources - Press Read article https://mint.dzgapp.com/build-journey/what-22-gb-of-agent-conversations-is-made-of/ Go deeper This intelligence is sourced automatically from public sources across the web and synthesised by the Prefactor AI pipeline. Stories are reviewed before publication.