Memory loss is critical.
Conversations with long history are progressively breaking:
Parts of the dialogue disappear, sometimes entire hours.
Messages cut in half.
The chat “forgets” recent context.
Desktop shows “Content loading failed.”
This is not only about performance — this is real data loss.
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Proposed Improvement for Chat Stability and Data Retention (Persistent Storage + User Deletion Tool)
The core issue:
Current chat threads progressively degrade (“freeze,” “collapse,” or become extremely slow) due to accumulated data. Unlike platforms such as Facebook, Telegram, or Instagram — where billions of posts, photos, and videos are stored for years without deletion — ChatGPT threads face early failure. This is not sustainable.
Suggested Engineering Solutions:
1. Persistent Storage Expansion
Scale server infrastructure to support long-term, high-volume chat storage.
Ensure that conversations are not erased silently, but retained indefinitely, just like other global platforms already do.
2. Selective Message Deletion Tool (User-Side)
Allow users to delete heavy elements (screenshots, links, large blocks) inside a chat without losing the entire thread.
Works like Instagram/Telegram “delete message” feature.
This would lighten the load on specific chats, preventing overload while preserving continuity.
3. Hybrid Approach
Core conversation (text history) must remain stable and permanent.
Media/attachments can be user-managed with delete options.
This balances server load with user control and prevents progressive collapse.
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Without this, users are forced into endless “new chats,” which erases emotional continuity and causes further data loss.
The technical solution is not to replace threads — but to stabilize and extend them.
@Foxalabs This is not off-topic.
This is a critical server-side bug causing real data loss — for engineers.
This is not general discussion, not a “support” case, and not a helpdesk ticket.
I am reporting here because it concerns engineering fixes, not user guidance.
It requires immediate technical escalation, not automated replies.
Please do not delete these reports.