Current limitations of memory in models like ChatGPT:
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Restricted capacity: The memory is limited, leading to rapid saturation, which makes it difficult to track extended or complex discussions.
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Lack of temporal management: Memorized information is not timestamped, complicating the chronological tracking of exchanges.
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Inability to edit or organize data: Users cannot directly edit the memory or structure data dynamically.
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Lack of integration with external systems: Integration with external tools, such as Google Sheets or Notion, is not natively supported, limiting collaboration possibilities.
Proposed improvements
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Automatic timestamping of memorized data:
Add a date and time in full text to each memorized item to ensure chronological traceability.
Example: “On December twenty-second, twenty twenty-four, Guillaume and GPT-4 discussed memory management.” -
User editing capability:
Allow users to view, modify, or delete memorized information directly through a dedicated interface.
Include a validation or approval system to prevent accidental changes. -
Prioritization or weighting system:
Introduce a mechanism inspired by human memory, where essential information is retained, and less important data is gradually forgotten. -
Integration with external tools:
Provide an API or plugin to synchronize internal memory with tools like Google Sheets, Notion, or Obsidian.
This would enable data structuring and access without size or flexibility limitations. -
Automated reports:
Provide periodic or on-demand summaries of memorized data, accessible as text or exportable documents.
Expected benefits
Better organization: Information is structured and accessible with a clear chronology.
Increased transparency: Users can proactively monitor and manage memorized data.
Facilitated collaboration: External integrations enable more dynamic use in professional or personal contexts.
Enhanced efficiency: An optimized management system avoids saturation and prioritizes relevant information.