Dear OpenAI Team and Community,
I hope this message finds you well. I’d like to propose a new approach to enhance AI learning while maintaining high-quality knowledge standards.
Currently, AI models do not retain knowledge from individual user interactions due to privacy and quality concerns. However, a community-validated learning mechanism could allow AI to evolve dynamically without compromising accuracy or security.
Proposed Idea:
- Users can opt-in to contribute their conversations to improve the AI knowledge base.
- Newly acquired knowledge goes through a community validation system (e.g., upvotes/downvotes or expert moderation).
- Only highly validated insights are incorporated into the model’s training data in future updates.
Benefits:
Faster AI learning and adaptation
High-quality knowledge filtering through community validation
Increased user engagement in shaping AI’s development
By leveraging crowdsourced validation, OpenAI could develop a more adaptive AI without sacrificing accuracy or user trust. I’d love to hear your thoughts on this idea and whether such an approach could be explored further.
Looking forward to your feedback.
Best regards,
Péter SESZTÁK