Suggestion: Integration of Conversations and Duplication Functionality in GPT to Improve User Experience
Description:
- Integration of User Conversations Access
A functionality that I consider extremely important for the development and evolution of GPT is the ability to activate an option where the AI has access to all conversations from the same user on their account, with the explicit permission of the user.
Why is this necessary?
Ongoing Context: Users who use AI for broad topics, long-term projects, or philosophical/scientific explorations could greatly benefit from an integrated memory. With access to previous conversations, GPT could recall topics already discussed and use that knowledge to provide more precise, advanced, and personalized answers.
Advanced Personalization: This integration would allow GPT to deeply understand the user’s communication style, interests, and reasoning. The result would be much smoother and more relevant interactions.
Efficiency: It avoids the repetition of explanations or contexts. When dealing with a recurring project or theme, GPT would already have all the necessary history, allowing for faster and more complete responses.
Potential Impacts:
Better support for researchers, content creators, students, and professionals.
Personalized experiences that increase user efficiency and satisfaction.
Expansion of GPT’s use as a tool for self-development and personal organization.
- Conversation Duplication as an Alternative
If the functionality of integrated access to a user’s conversations is not technically or ethically feasible at the moment, I suggest implementing an option for duplicating conversations.
How would it work?
The user could select an existing conversation and create an identical copy, preserving all context up to that point. From this duplicate, the user could explore different paths without losing progress or deviating from the original conversation’s focus.
Why is this useful?
Multidirectional Exploration: In complex topics, a single starting point can generate multiple lines of thought. Duplication allows exploring these different directions in parallel, without sacrificing progress in one area to deepen another.
Testing and Personalization: One example would be using a duplicated conversation to create a personality mirroring experience, where GPT replicates the user’s personality and thinking style based on the initial interaction.
Organization: This functionality would be a practical solution to maintain focus and organization in longer projects or interactions.
- About Me and My Interest in Contributing to GPT
I am deeply interested in contributing to the evolution and improvement of GPT. My ideas stem from practical experience as an active user, utilizing the tool on various topics, from philosophical and spiritual reflections to science, history, and creative projects.
I believe that GPT has tremendous potential to transform the way we learn, create, and solve problems. For this reason, I am motivated to offer solutions and ideas that improve the user experience and expand its usage possibilities. My frequent interaction with the tool gives me a clear view of how it can be improved to meet the diverse needs of its users.
One specific inspiration for these suggestions came from a friend who, through several honest and sincere conversations about themselves and their thoughts, guided GPT to act, speak, and confront them as if it were them. This approach created such an accurate experience that the AI not only understood their thought patterns but also helped them explore their inner questions deeply. They described the experience as having a psychiatrist with direct access to what they think and feel, making the interaction extremely useful for self-knowledge and reflection. This idea showed how GPT can go beyond a search tool and become a true extension of the user’s mind, something I believe more people could experience.
I hope this feedback contributes to the development of GPT, and I am willing to discuss these suggestions further. It would be a privilege to collaborate more directly with the evolution of the tool, helping it reach new levels of efficiency and personalization.