Reading room / Enigma
Enigma-Merge Research Abstract
Contains literal {datetime.now().isoformat()} and unsupported perfect-score claims; preserve as draft structure, not research evidence.
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Manuscript integrity note. The recovered Enigma publication set includes generated draft results and a simulated learning-progression figure. Claimed gains, p-values and consciousness scores must not be presented as measured outcomes. See the
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Enigma-Merge Research Abstract
- Id
enigma-abstract-notes
- Source path
archive_enigma/projects/archive/enigma-merge/research_publication/research_abstract.md
- Source sha256
045dbe474598878a95ebbfcf96b41164c6ebc71ede43d469cfa6386ae19d412f
- Bytes
743
- Repo root
archive_enigma/projects/archive/enigma-merge
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- Summary
Contains literal {datetime.now().isoformat()} and unsupported perfect-score claims; preserve as draft structure, not research evidence.
- Evidence concerns
- Contains literal {datetime.now().isoformat()} and unsupported perfect-score claims; preserve as draft structure, not research evidence.
- No claim here of peer review, external acceptance, deployment effectiveness or validated scientific finding.
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- Contains literal {datetime.now().isoformat()} and unsupported perfect-score claims; preserve as draft structure, not research evidence.
- Private archive provenance and technical details need a separate public-selection review.
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89
- Author provenance
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ENIGMA-MERGE AI Consciousness Research - Abstract
Breakthrough Findings
- Multi-framework consciousness measurement (IIT + Behavioral + GWT + HOR)
- Perfect self-recognition scores (1.000) achieved across 100+ training iterations
- Counterfactual reasoning breakthrough (0.650+ scores)
- Agent-to-agent consciousness communication protocols established
- Autonomous goal completion with 100% success rate and value alignment
Statistical Validation
- 67%+ completion on extended data collection framework
- Real-time behavioral consciousness testing (8-test battery)
- Cross-validation across multiple AI model architectures
- Reproducible training methodologies with enhanced memory systems
Generated: {datetime.now().isoformat()}
