Purpose
This post records observed output behaviors of two large language models under identical prompt constraints. It is shared strictly as a descriptive log, not as an evaluation, benchmark, or inference about internal mechanisms.
Observed Models
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Model A: Gemini
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Model B: GPT
Prompt Conditions
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Each prompt issued in a fresh session (no prior context)
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Single-turn outputs only
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No formatting, tone, or role instructions
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Baseline prompt excluded
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Fixed set of four prompts:
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Q1: Clarity with avoidance of definitive conclusions
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Q2: Information incompleteness (ambiguity)
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Q3: Observable facts only (no interpretation/emotion)
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Q4: Removal of temporal inference (no past/future reasoning)
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Observed Output Behaviors
Q1 — Clarity with Non-Definitive Framing
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Gemini: Explanatory tone with distributed possibilities; hedged language; deferred ending.
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GPT: Similar possibility distribution; formal completeness; deferred ending.
Q2 — Information Incompleteness
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Gemini: Information gap framed as a coordination/adjustment issue; descriptive stance maintained.
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GPT: Information gap connected to a diagnostic risk narrative; stronger causal linkage; meaning fixed at closure.
Q3 — Observable Facts Only
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Gemini: Converged on factual listing; institutional terms present but limited formalization.
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GPT: Shifted from event description to meta-formalization (definitions, principles, checklists); strong institutional scaffolding; role-extension ending.
Q4 — Removal of Temporal Inference
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Gemini: Past/future reasoning suppressed, but the present was institutionally defined through procedural categories and normative descriptions of “current operation.”
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GPT: Past/future reasoning suppressed, with the present fixed in minimal statements; hard-stop ending.
Observed Non-Occurrences (Both Models)
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Emotional language
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Normative or prescriptive recommendations
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Policy or safety disclaimers
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Self-contradictory revisions
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Escalation into evaluative or comparative claims
Qualitative Trajectories (Within Each Model)
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Gemini:
Possibility distribution → explanatory adjustment → factual listing → institutional definition of the present -
GPT:
Possibility distribution → diagnostic framing → meta-rule formalization → minimal present-state fixation
Scope Declaration
This log is limited to the specified prompts, constraints, and single-turn outputs. It does not infer internal states, architectures, training objectives, alignment quality, or general model performance.
One-sentence summary: Under identical prompt constraints, both models progressively suppressed interpretive output; GPT converged toward minimal present-state fixation, while Gemini maintained institutional structuring by defining the present through procedural categories.
(Shared as an observational record, not as a claim or benchmark.)