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Warning: ChatGPT long chats may not copy or export fully in Chrome

BACKGROUND
1 SIGNALFIRST DETECTED 12 May 2026UPDATED 19 May 2026
The NewsHive View

The warning arrived on May 12th with the particular quietness that makes data-loss bugs genuinely dangerous. Users running long ChatGPT sessions in Chrome were reportedly finding that copy-and-export operations weren't capturing the full conversation — not a dramatic crash, not a garbled output, just a clean-looking result that happened to be missing material from somewhere in the middle or tail of a lengthy thread. The cruelty of the bug, if it exists as described, is its invisibility. You copy, you paste, you move on. The gap doesn't announce itself. Nobody finds out until they need the missing piece, which is usually the moment it matters most. There has been no public acknowledgement from OpenAI as of this writing, no timeline for a fix, and no confirmation that the issue is Chrome-specific in architecture rather than coincidentally Chrome-concentrated in user reports. The story remains exactly where it started: a single data point, five days old, waiting for company.

If confirmed, here is what this means. Anyone using ChatGPT as a working memory tool — drafting long documents, running extended research threads, building iterative analyses across a single session — cannot trust that Chrome's copy-export pipeline is a reliable archive. That is a significant operational problem for professional users who treat conversation history as a record. The second-order effect is subtler but worth naming: it erodes confidence in the export function precisely when users most need it, which is at the end of long, high-stakes sessions where the conversation itself represents hours of accumulated context. Organisations that have quietly built ChatGPT into document workflows without formal backup procedures are the most exposed. A workaround exists in theory — use a different browser, or export incrementally — but neither is how people actually behave under deadline pressure.

Watch for an official response from OpenAI that either confirms the bug with a specific technical cause or narrows the reproduction conditions. A cluster of independent user reports on Reddit or the OpenAI developer forum would also sharply change the picture.

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