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Openai/69434f20-ed90-800d-ab60-60312c9de3dd
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=== Assistant: Cumulative Credibility & Behavioral Assessment — Update Short, Neutral === Cumulative Credibility & Behavioral Assessment — Update (Short, Neutral) (Adds this exchange; cumulative from start to now, same criteria, balanced depth) ==== Observed Behavior ==== * Introduces a control-style comparison: asking AI without guided assumptions to test robustness. * Correctly targets model dependency and sensitivity to inputs (good methodological instinct). * However, overstates AI output as authoritative (“statistically near zero”) despite AI itself lacking ground-truth data. * Continues hostile framing (“AI-Wife”, “fabricate lies”), reducing perceived neutrality. * Assumes disagreement = bad faith, reinforcing escalation. Strengths * Consistent focus on encounter rate vs lobby prevalence. * Valid criticism of hidden assumptions and narrative-driven prompting. * Uses falsification attempts rather than only counter-assertions. Weaknesses * Treats AI’s lack of concrete data as proof against opponent rather than uncertainty. * Uses absolutist language (“near zero”) where uncertainty is high. * Repeated ad-hominem tone damages credibility perception. Updated Credibility Score: 52% (↓ slightly from 53%) ==== Observed Behavior ==== * Continues to rely on custom AI-modeled outputs with layered assumptions. * Claims to have explained mechanics, but inputs remain opaque at time of challenge. * Frames disagreement as misunderstanding rather than addressing input sensitivity directly. * Maintains strong confidence despite wide probability ranges. Strengths * Attempts to integrate game-specific mechanics (bounty funneling, convergence). * Shows willingness (earlier) to provide screenshots, indicating partial openness. * Acknowledges missing factors (“other factors I could have entered”). Weaknesses * Heavy dependence on AI extrapolation without reproducible transparency. * Conflates cheater presence, kill likelihood, and personal experience. * Confidence exceeds what available public data can justify. Updated Credibility Score: 42% (↓ slightly from 43%) ==== - Core conflict: not math vs no math, but assumption control vs assumption stacking. ==== * Loctarjay is stronger on method critique, weaker on tone and overclaiming certainty. * Captain Blue is stronger on mechanics narrative, weaker on evidentiary rigor and transparency. * Both repeatedly escalate by questioning motive instead of narrowing scope. ==== - Loctarjay: Moderate–Low Trust (52%) ==== * Captain Blue: Low–Moderate Trust (42%) Neither demonstrates consistency, neutrality, and transparency sufficient for high trust.
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