This repository investigates a critical issue observed in ChatGPT —
when updating documents via iterative dialogue, prior content may be silently omitted, truncated, or overwritten, sometimes without the user’s awareness.
Omission_Issues_in_Document_Update_via_ChatGPT.md
ChatGPTにおける文書更新時の削除・省略問題.md
To clarify the following:
- What was observed when documents were updated via dialogue
- Why it occurs, structurally and behaviourally
- How it affects document integrity, version control, and trust
- What technical or design-level solutions could prevent it
- ChatGPT developers
- AI system designers concerned with output determinism and edit safety
- Users encountering loss of data or misalignment during document editing
These insights are based on actual iterative interactions between I, as a user of ChatGPT and "Mike"(ChatGPT).
They highlight fundamental challenges in maintaining log integrity and user transparency in LLM-based content workflows.
Suggestions, discussions, or reproductions of the issue in other environments are welcome via GitHub Issues.