Summary
I propose a user-controlled Personal Semantic Reference Registry within ChatGPT Personalization.
The feature would allow users to register, explicitly confirm, preserve, revise, and reuse their own semantic units, referential conditions, descriptive or operational meanings, and composition rules across conversations and authorized environments.
The purpose is not to modify public linguistic knowledge or require OpenAI to endorse a user’s theory. It is to provide a reliable reference mechanism for personal language usage.
Problem
Users may establish specific meanings for characters, words, symbols, descriptions, operations, or conceptual relationships in research, creative work, professional practice, or everyday communication.
Currently, users can explain these meanings through conversations, memory, or custom instructions. However, they lack a clearly structured, user-managed location for explicitly confirming and preserving semantic definitions and their relationships.
As a result, users may repeatedly need to explain definitions they have already established.
Models can appropriately discuss conventional meanings or point out disagreements. However, repeatedly renegotiating the same premise when a user simply wants to continue working within a previously confirmed definition creates unnecessary communication overhead.
The opposite problem can also occur: a model may accept an emerging concept but introduce additional interpretations, formulas, or relationships that the user never explicitly confirmed.
Repeated conversational corrections are not a reliable substitute for a structured reference system. Each attempt to clarify a definition may generate further unconfirmed interpretations.
Proposed Feature
Please consider adding a Personal Semantic Reference Registry that allows users to:
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Register personal semantic units, terms, symbols, descriptive units, operational units, and conceptual meanings.
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Define referential conditions and meaning-composition relationships among multiple units.
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Explicitly confirm definitions before they become persistent entries.
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Keep model-suggested interpretations provisional until approved by the user.
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Preserve confirmed versions while supporting revision, rollback, disabling, and deletion.
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Set the scope of each entry to a conversation, project, context, or account.
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Retrieve relevant entries in future conversations while distinguishing personal definitions from conventional meanings.
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Inspect, import, export, and manage their own entries.
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Access applicable settings across ChatGPT cloud conversations and authorized desktop or personal environments.
Input Method Analogy
Users can add character-pronunciation mappings to an input method without changing a shared dictionary.
Similarly, ChatGPT users should be able to register personal meaning associations and composition rules without modifying the model’s general linguistic knowledge.
Unlike a simple dictionary entry, semantic rules may involve several units, relationships, and contextual conditions.
Language Independence
This feature should apply across languages.
Different languages express meaning through different combinations of characters, words, morphology, phrases, and context. The system should not impose a single segmentation level for all languages.
Expected Behavior
When a user works with an established personal definition, ChatGPT should retrieve the applicable confirmed reference.
The model should remain free to explain conventional definitions, identify substantive conflicts, or discuss revisions when relevant.
However, it should not repeatedly reopen an already established personal terminology discussion without a reason.
Unconfirmed model interpretations should never silently overwrite user-confirmed entries.
Evidence
The proposal includes conversation examples from DeepSeek, Gemini, and ChatGPT.
These records illustrate observable user experiences when discussing personal semantic definitions.
The original user messages, model responses, any additional content displayed by the services, and subsequent analysis should remain distinguishable.
The examples are not presented as proof of the models’ internal implementation.
Privacy and Control
The registry should be private by default.
Users should control the applicability, revision, export, deletion, and authorized access to their definitions.
A user-defined meaning should not automatically become public knowledge.
Request to OpenAI
Please consider adding an account-level Personal Semantic Reference Registry to ChatGPT Personalization.
This would allow users to preserve and manage their own language-meaning conventions and composition rules without changing shared model knowledge.
The central request is not for AI to agree unconditionally with users. It is for users to have a stable, inspectable way to maintain their own confirmed semantic definitions instead of repeatedly reconstructing the same premises through conversation.
Disclosure: This proposal was drafted with ChatGPT assistance from the user’s requirements and supplied conversational examples. Publication and submission remain under the user’s control.
Source note
Source materials: the proposer’s “English submission version.md”, “中文提交版本.md”, and supporting conversation records from DeepSeek, Gemini, and ChatGPT are available in the proposal and supporting case files.