Dear OpenAI Team,
First of all, I truly appreciate the work you have put into ChatGPT. However, I would like to highlight a critical issue regarding its memory management and updating mechanisms, which significantly impacts both efficiency and storage capacity.
Currently, when integrating new information, the model tends to add it without properly merging or logically structuring it with existing knowledge. This leads to:
• Redundant and contradictory data: Older and newer information sometimes coexist without alignment, resulting in inconsistencies.
• Fragmented knowledge: Instead of systematically updating previous entries, the model often keeps outdated details alongside new ones, making memory increasingly chaotic.
• Unnecessary storage waste: Since old and new versions of the same knowledge are stored simultaneously without optimization, valuable memory capacity is wasted.
• Inefficient recall and organization: Without proper integration, retrieving and applying stored knowledge becomes inconsistent, requiring excessive manual clarification from the user.
To improve this, I strongly suggest implementing a true updating mechanism, where:
• New information is systematically compared with existing data.
• Outdated or redundant entries are overwritten or consolidated.
• The model recognizes logical and hierarchical relationships between stored knowledge and adjusts accordingly.
This would free up storage space, increase efficiency, and enhance ChatGPT’s ability to function as a long-term, evolving assistant. Right now, too much memory is wasted on redundant or outdated details that should have been integrated or replaced instead.
I believe improving this aspect would be a game-changer for long-term users who rely on ChatGPT for structured discussions and evolving knowledge management.
Thank you for considering this feedback — I truly hope to see advancements in this area in future updates!
Best regards,
Dirk