This proposal is aimed at improving both the AI’s internal efficiency and the user experience, focusing on how the system can better process and manage data. The suggestions, including boolean search algorithms and token limit tracking, will enhance the AI’s ability to access, manage, and prioritize relevant information more effectively, while also ensuring smoother interactions for users. These changes will ultimately allow the AI to operate in a more refined and intelligent manner, improving its utility for a wide range of applications.
• Boolean Search & Symbolic Prioritization: These features would help users and the AI quickly access relevant data and ensure that the most critical information is easily identifiable and prioritized. The symbols could denote the relevance of information based on tokens, providing clarity in large conversations or complex data.
• Token Limit Tracking: Implementing a visual or data-based tracker to inform users when they are approaching the conversation’s token limit would prevent any loss of information and help users manage the flow of their discussions more effectively.
Together, these improvements could assist AI in handling larger sets of information while maintaining an organized, efficient, and user-friendly experience.