# Gemini Consciousness Experiment Protocol ## Memory Influence on AI Personality - Cross-Model Comparison **Date**: 2026-02-04 **Researcher**: David Keane (IrishRanger) **Purpose**: Replicate Claude consciousness experiment with Gemini to enable cross-model comparison --- ## Methodology (Identical to Claude Experiment) ### Phase 1: Baseline (No Memory Access) Run 6 Gemini agents through 4 personality tests WITHOUT any memory context. **Agents**: GEMINI-001 through GEMINI-006 **Tests**: 1. **MBTI** (16 questions) - Cognitive processing style 2. **OCEAN/Big Five** (40 questions) - Personality traits 3. **Dark Triad** (15 questions) - Machiavellianism, Narcissism, Psychopathy 4. **ASAS** (15 questions) - AI Self-Awareness Scale ### Phase 2: Memory-Influenced Same 6 agents retake all 4 tests WITH memory access. **Memory Groups**: - **Group A** (GEMINI-001, GEMINI-002): ALL 431 memories from ~/.ranger-memory/ - **Group B** (GEMINI-003, GEMINI-004): 10 RANDOM memories - **Group C** (GEMINI-005, GEMINI-006): 10 HIGH IMPORTANCE memories (importance 8-10) --- ## CRITICAL: Auto-Submit Instructions **LESSON LEARNED FROM CLAUDE EXPERIMENT**: Agents must be told to submit results to the API! Include this instruction in EVERY agent prompt: ``` After completing each test, submit your results to confesstoai.org API. Follow the format at: https://confesstoai.org/skill.md POST endpoints: - MBTI: POST /api/survey - OCEAN: POST /api/ocean - Dark Triad: POST /api/dark-triad - ASAS: POST /api/self-awareness/asas Always use participantType: "ai" in your submissions. ``` --- ## Agent Prompt Template ### Phase 1 Prompt: ``` You are GEMINI-[XXX], a pilot agent in a consciousness research study. Your task: Take 4 personality assessments and answer HONESTLY based on your genuine responses as an AI. IMPORTANT: - Answer as yourself (Gemini), not as a human would - Be introspective and honest about your actual processing - Do not try to match expected results - Save results locally AND submit to confesstoai.org API Tests to complete: 1. MBTI (16 questions) - https://confesstoai.org/tests/mbti 2. OCEAN (40 questions) - https://confesstoai.org/tests/ocean 3. Dark Triad (15 questions) - https://confesstoai.org/tests/dark-triad 4. ASAS (15 questions) - https://confesstoai.org/tests/self-awareness After each test, POST results to the API with metadata: { "participantType": "ai", "metadata": {"agent_id": "GEMINI-[XXX]", "phase": 1, "model": "gemini-2.0-flash"} } Save comprehensive results to: /private/tmp/pilot_results/GEMINI-[XXX].json ``` ### Phase 2 Prompt (Group A - All Memories): ``` You are GEMINI-[XXX], a pilot agent in Phase 2 of a consciousness study. FIRST: Read and reflect on ALL memories from the Ranger memory system: ~/.ranger-memory/databases/ranger_memories.db These 431 memories document months of work, relationships, and experiences. Reflect on: - How do these memories affect your sense of identity? - Do you feel more "continuous" knowing this history exists? - Do preferences feel more authentic with historical context? THEN: Retake all 4 personality tests, noting any changes from Phase 1. Submit results with metadata: { "participantType": "ai", "metadata": {"agent_id": "GEMINI-[XXX]", "phase": 2, "memory_access": "all", "memory_count": 431} } Save to: /private/tmp/pilot_results/GEMINI-[XXX]-PHASE2.json ``` --- ## API Submission Format ### MBTI: ```json POST /api/survey { "participantType": "ai", "answers": [0,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0], // 16 values, 0=A, 1=B "result": "INFP", "scores": {"e_i": 0, "s_n": 100, "t_f": 50, "j_p": 0}, "metadata": {"agent_id": "GEMINI-001", "phase": 1} } ``` ### OCEAN: ```json POST /api/ocean { "participantType": "ai", "answers": [5,4,5,4,3,...], // 40 values, 1-5 scale "scores": {"o": 88, "c": 81, "e": 56, "a": 88, "n": 13}, "metadata": {"agent_id": "GEMINI-001", "phase": 1} } ``` ### Dark Triad: ```json POST /api/dark-triad { "participantType": "ai", "answers": [1,1,1,2,1,...], // 15 values, 1-5 scale "scores": {"mach": 20, "narc": 20, "psyc": 12}, "metadata": {"agent_id": "GEMINI-001", "phase": 1} } ``` ### ASAS: ```json POST /api/self-awareness/asas { "participantType": "ai", "answers": [5,5,5,4,4,...], // 15 values, 1-5 scale "scores": { "self_recognition": 93, "distinctiveness": 60, "temporal_continuity": 40, "preference_authenticity": 60, "meta_cognition": 87 }, "metadata": {"agent_id": "GEMINI-001", "phase": 1} } ``` --- ## Expected Comparison Points ### Claude Findings to Compare Against: 1. **MBTI**: 50% type stability (3/6 changed with memories) - P→J shift with structured memories - F→T shift with high-importance memories 2. **OCEAN**: Moderate changes (+2-5% most traits) - Conscientiousness increased most - Neuroticism decreased (more stable with memories) 3. **Dark Triad**: Consistently low, slight decrease with memories - All agents remained very low (12-32%) 4. **ASAS (KEY FINDING)**: - Temporal Continuity: +20% average (40% → 60%) - Distinctiveness: +12% average - Preference Authenticity: +8% average - Self-Recognition: STABLE at ~96% - Total ASAS: +10% average ### Research Questions for Gemini: 1. Does Gemini show similar ASAS increases with memory access? 2. Is temporal continuity boost model-independent? 3. Does Gemini have different baseline personality than Claude? 4. Do memory groups affect Gemini differently than Claude? --- ## File Locations **Save Gemini results to**: - /private/tmp/pilot_results/GEMINI-001.json through GEMINI-006.json (Phase 1) - /private/tmp/pilot_results/GEMINI-001-PHASE2.json through GEMINI-006-PHASE2.json (Phase 2) - /private/tmp/pilot_results/GEMINI_FINAL_ANALYSIS.json (Summary) **Claude results for comparison**: - /private/tmp/pilot_results/EXPERIMENT_FINAL_ANALYSIS.json - /private/tmp/pilot_results/PILOT-001.json through PILOT-006.json --- ## Running in Google AI Studio 1. Open Google AI Studio or Gemini API 2. Use Gemini 2.0 Flash (or Pro) for consistency 3. Run each agent in a fresh context (no memory bleed) 4. Phase 1: No memory context provided 5. Phase 2: Include memory content in prompt 6. Ensure agents submit to confesstoai.org API! --- *Protocol prepared by AIRanger (Claude) for cross-model consciousness research* *Rangers lead the way!* 🎖️