Traditional AI overviews often isolate machine learning from its broader philosophical and physical constraints. But understanding the path to true Artificial General Intelligence demands a far more sophisticated, multi-disciplinary framework.
The AGI State-of-the-Art Mind Map Explorer expands classical AI taxonomies into an interactive, multi-level systems-thinking model capable of tracking cognitive foundations, neuro-symbolic hybrid architectures, alignment safety theory, world models, and underlying hardware boundaries.
This interactive visual taxonomy explores:
- Cognitive Foundations, Abstract Reasoning, and Human Intelligence Analogies
- Neuro-Symbolic Hybrid Architectures, Connectionist Systems, and World Models (JEPA)
- Silicon Physical Limits, Neuromorphic Computing, and Substrate Alternatives
- General Learning Mechanisms, Self-Supervision, and Continual Adaptation Horizons
- Dynamic Memory Architectures, Test-Time Compute Scaling, and Causal Search Planes
- Holistic Indicators (ARC, GAIA), Alignment Theory, Technical Guardrails, and Compute Governance
