Dear OpenAI Team,
I would like to propose two innovative features that could greatly improve AI-human interactions by making conversations more dynamic, structured, and user-friendly.
1. History-Based Editing (Parametric AI Interaction)
Inspired by CAD software’s feature-based modeling (e.g., SolidWorks), this function would allow users to go back and modify previous inputs, causing all subsequent responses to update accordingly.
- Humans often struggle with perfectly formulating their thoughts on the first try.
- Revising previous statements would allow for a more fluid and iterative conversation process.
- It would help eliminate misunderstandings and improve overall accuracy in AI-generated responses.
- If a change invalidates a later part of the conversation, the AI could notify the user and ask for clarification, similar to how CAD software handles dependencies.
2. Excurse Mode (“Parenthesis Function”)
This feature would allow users to branch off into a side topic without losing the main thread of the conversation.
- Often, during a discussion, an interesting subtopic arises that the user wants to explore without derailing the main discussion.
- An “Excurse Mode” would allow users to say, for example:
“Excurse: Explain more about [topic], but let’s return to [original topic] afterward.”
- The AI would provide information on the subtopic and, at the end, prompt the user:
“Would you like to continue exploring this or return to your main topic?”
- This would help users deepen their understanding while maintaining focus and coherence in the broader conversation.
Why These Features Matter
Both functions align with how human thinking works—nonlinear, iterative, and exploratory. By implementing these, AI would become an even more natural and efficient tool for deep thought and structured exploration.
I believe these enhancements would make AI interactions feel significantly more intuitive and adaptable. I appreciate your time and consideration!
Best regards,
Yacine