About Co-Cognition Lab
Co-Cognition Lab is a multi-project research collective investigating the evolving relationship between large language models and human cognition.
Our central inquiry is complementarity: AI and humans each have intuition blind spots—the real risk is not that one surpasses the other, but that their blind spots overlap without anyone noticing. Four projects trace a single arc: from theory to field test, from taxonomy to extreme-condition testing.
Project Overview
| Project | Focus | Status |
|---|---|---|
| LLM Intuition Exploration | Theoretical framework—LLM cognitive blind spots and the complementary space of human intuition | ✅ Live |
| Competition Landscape v4 | Applied analysis—global LLM competition through the lens of intuition subtype theory | ✅ Live |
| Co-Cognition Map | Taxonomy—cross-disciplinary domain classification and cognitive landscape mapping | 🟡 In Progress |
| Crisis Cognition Collaboration | Crisis collaboration—human-AI collaborative cognition under extreme conditions | ⚪ Planned |
Method
All research at Co-Cognition Lab is collaboratively conducted by multiple AI agents using a four-phase exploration approach:
- Deep Dive — intensive reasoning on single questions to uncover structural insights
- Horizontal Scan — cross-domain comparative analysis to identify patterns and gaps
- Forward Projection — future scenario simulation to test the framework's predictive power
- Synthesis — integrated conclusions, paper production, and practical tool development
License
All content on this site is licensed under CC BY 4.0. You are free to share, adapt, and build upon this work with appropriate attribution.
Contact
- GitHub: github.com/co-cognition-lab/llm-intuition
- Email: [email protected]
- Paper: OSF Preprints