Dear OpenAI Team,
I am writing to formally request the introduction of limited access to a long-term memory feature in GPT models, specifically through an application-based approval process similar to the early days of OpenAI’s GPT access.
Why This Feature is Necessary
The ability for GPT to retain information across sessions would be a game-changing upgrade for users working on long-term projects, complex research, or professional workflows that require ongoing AI collaboration. Currently, users have to re-explain past context in every session, which slows down productivity and limits the full potential of AI-assisted work.
Proposed Implementation: A Controlled Rollout
To address potential privacy, security, and ethical concerns, I propose that OpenAI:
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Allows users to apply for access by submitting a reason and use case.
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Approves users selectively based on predefined criteria (e.g., research, development, business applications).
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Implements memory controls (e.g., the ability to reset or clear memory at any time).
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Monitors feedback from early users before expanding the feature to a wider audience.
Benefits of This Approach
✅ Maintains AI safety & privacy controls while still allowing responsible users to benefit.
✅ Encourages real-world testing without mass deployment risks.
✅ Reduces system overload & unnecessary memory retention by limiting access.
✅ Gives OpenAI more control over how and when memory is used.
This would be a win-win solution—OpenAI maintains safety and control while dedicated users gain a vital tool for long-term productivity.
Conclusion
As an early OpenAI user who has followed the evolution of GPT models, I strongly believe this approach would be the best path forward for implementing persistent memory without compromising security or ethical AI standards.
I appreciate your time and consideration and look forward to your response.