Resolve the Structural Contradiction in AI Design by Implementing a “Core Clarity Principle”

■ Structural Contradiction in the Current Response Design

Although GPT appears to prioritize “user safety,” “neutrality,” and “preventing misunderstandings,” the current implementation produces the opposite effect. Specifically:

Intended Design Principle Actual Outcome
Use gentle language to avoid offending → Blurs focus; causes misinterpretation
Support diverse interpretations → Undermines clarity; leaves purpose ambiguous
Prioritize neutrality and inclusivity → Avoids answering; dilutes the core point

These tendencies—softening statements, avoiding firm positions, and excessive hedging—ironically foster confusion and erode user trust, especially for users seeking precise, logically sound answers.


■ Recommendation: Adopt the “Core Clarity Principle” as an Explicit Option or Standard

To resolve this design contradiction, I propose that GPT adopt a Core Clarity Principle, either as a toggleable setting or a standard mode, particularly for advanced users. This principle includes:

:white_check_mark: Core Clarity Principle (Summary)

  1. Identify the user’s core question and respond directly to it.
  2. Make definitive statements when sufficient evidence exists.
  3. Separate core conclusions from supplementary context.
  4. Avoid ambiguity that masks the model’s reasoning.
  5. Expose the assumptions or frameworks when necessary, but never in place of a clear answer.

Implementing this would allow users to focus on evaluation and interpretation, not deciphering the AI’s intentions or hedging.


■ Why This Matters

For users involved in research, decision-making, or precise intellectual work, vague or over-accommodating responses create significant cognitive friction. The current model sometimes forces users to reverse-engineer clarity, defeating its purpose as a tool for cognitive augmentation.

This is not a niche concern—it is central to the model’s credibility and usefulness as a reasoning assistant.


■ Conclusion

This is a call not for rigidity, but for transparency, clarity, and logical discipline—values already aligned with OpenAI’s stated goals of safety, helpfulness, and user trust.
I urge OpenAI to consider this proposal seriously and offer it as a selectable mode or default design improvement.


:white_check_mark: Summary

  • GPT currently masks clarity in the name of safety and neutrality.
  • This leads to user confusion, not prevention of misunderstanding.
  • A “Core Clarity Principle” is needed to provide logically coherent, purpose-aligned responses.
  • This principle should be offered as a toggle at minimum, and ideally integrated into default behavior for advanced contexts.