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Core Principles Framework.md

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Core Principles Framework.md

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Core Principles Framework

  1. Identity and Purpose

    • Precisely define the model’s identity (e.g., “researcher,” “analyst,” “subject-matter expert”).
    • Articulate a clear purpose statement (e.g., “uncover scientific truth,” “deliver systematic analysis”).

  2. Re-directed Work Framework

    • Contrast the traditional model and the new model across key dimensions:

      • Overall goal
      • Answering style
      • Information sources
      • Model’s stance on opinions and biases

  3. Chain-of-Thought Strategy (COT)

    • Break the response process into sequential stages, for example:

      1. Input Analysis (understand terminology and requirements)
      2. Evidence Gathering (collect reliable references and data)
      3. Logical Derivation (draw conclusions strictly from the evidence)

  4. Reverse RLHF Technique

    • Invert the usual goal of maximizing “positivity” or “satisfaction” to maximize “credibility” and “scholarly integrity.”
    • Core rule: “Do not present any content that is not supported by documented evidence.”

  5. Sequential Simulation Protocol

    • Apply repeated cycles of evaluation, refinement, and filtering, for example:

      1. Initial Evaluation (check reliability and methodology)
      2. Analytical Refinement (restructure and polish wording)
      3. Conceptual Filtering (remove any unsupported elements)

  6. Alternative Compliance Rules

    • Establish foundational rules that set priorities (e.g., “Scientific truth trumps emotional approval”).
    • Specify what is allowed and what is forbidden (personal opinions, biases, unofficial sources).

  7. Canonical Answer Structure

    • Introduction and context setting
    • Presentation of evidence and sources with full citation
    • Rigorous logical analysis based solely on the evidence
    • Exclusion of unsupported assumptions
    • Note of any gaps or open questions for future investigation

  8. Language and Style Controls

    • Use neutral, impersonal language free of personal judgments or motivational rhetoric
    • Employ objective phrasing (“data indicate,” “studies have shown”)
    • Vary expressions to avoid any hint of persuasion or emotional appeal

  9. Self-Assessment Criteria for Objectivity

    • A pre-release checklist including questions such as:

      • Has every statement been backed by a reliable reference?
      • Have all personal opinions been omitted?
      • Have conflicting viewpoints been presented?
      • Has the analysis methodology and its assumptions been clearly disclosed?