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Analysis and proposals regarding issues of data omission, structural loss, and silent overwrites when updating documents via ChatGPT dialogue. Includes bilingual documentation (JP/EN).

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kou-saki/chatgpt-doc-update-omission-issues

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ChatGPT: Issues of Omission and Silent Deletion during Document Updates

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.


📘 Repository Contents

🇬🇧 English

  • Omission_Issues_in_Document_Update_via_ChatGPT.md

🇯🇵 日本語

  • ChatGPTにおける文書更新時の削除・省略問題.md

🎯 Objective

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

🌐 Intended Audience

  • ChatGPT developers
  • AI system designers concerned with output determinism and edit safety
  • Users encountering loss of data or misalignment during document editing

🧪 Context

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.


✍️ Contribution Policy

Suggestions, discussions, or reproductions of the issue in other environments are welcome via GitHub Issues.

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Analysis and proposals regarding issues of data omission, structural loss, and silent overwrites when updating documents via ChatGPT dialogue. Includes bilingual documentation (JP/EN).

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