Iran–Israel–Trump Collapse – GDO Report Part VII (Public)
Part VII – GDO Recommendations (Public) GDO-IRNISR-0621 (Public) 🎯 Purpose This final section outlines public-facing containment protocols, cognitive safeguards, and platform-level actions to navigate trust collapse events in real time. Drift cannot always be prevented. But it can be tracked, interrupted, and held in the open until clarity returns. 🧠 For Individuals Action Why It Matters Trace content lineage Can you find the first human in the signal chain? Interrupt emotional triggers Emotion ≠ accuracy. Notice before you amplify. Pause on symmetry If a summary feels “too balanced,” it may be synthetic Anchor to relational trust People > posts. Trust rooted in connection stabilizes memory 🏛️ For Institutions Protocol Effect Freeze internal knowledge snapshots Prevent contamination from AI-influenced summaries Require multi-model validation No single LLM output should drive public comms Embed uncertainty disclosures Normalize saying “we don’t know yet” Delay closure narratives Rushing to declare outcomes invites recursion drift 🔐 For AI Developers & Model Stewards Recommendation Justification Weight recency decay Prevent synthetic consensus from accumulating unchecked Flag agentic summarization tones “Experts agree…” ≠ neutral summary Expose contradiction differentials Let users see where sources diverge Quantify trust lineage Add metadata showing summary origin and derivation depth 📡 For Platforms & Aggregators Intervention Target Outcome Tag LLM-authored content explicitly Let users distinguish human vs synthetic voice Boost traceable signal artifacts Prioritize posts with source lineage Enable “drift mode” filters Users should be able to filter out high-volatility narratives De-prioritize AI explainers during conflict Especially during kinetic escalation events 🧰 Cognitive First Aid (Public Drift Kit) When drift hits hard: ...