Add complete CyberRanger research archive — 200 files

- 86 modelfiles: Full system prompt evolution V1-V42.6 (54 extracted from Ollama backup + 32 original Modelfiles)
- 30 training datasets: V6-V22 training JSONs + caring awareness data
- 10 Colab notebooks: Training + merge scripts
- 19 evaluation files: Drift results, ASR charts, verification
- 5 test suites: Injection tests, regression tests
- 4 observations: V24-V33 testing results + visual summaries
- 38 identity files: Claude/Gemini/Ollama identity architecture
- 7 security files: Injection research, manipulation analysis
- 3 psychology files: Psychology Layer, Milgram chapter, David's thoughts

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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# 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!* 🎖️