framework
active
framework:wise-world-modelWise World Model
The paper's proposed internalized representation of reality grounded in contemplative insights that enables intrinsic alignment
Neighborhood — ranked by edge-count
Concepts (3)
concept
- The primary source paper proposing four contemplative principles for AI alignment and piloting them empirically
- Inner Attractor for Compassionate Actionanalogous_toMetaphor for how contemplative AI creates self-organizing tendency toward wise and compassionate behavior
- Moral DNAanalogous_toMetaphor for intrinsic ethical orientation embedded in AI from the outset rather than imposed post-hoc
Questions (1)
question
- Practical research gap identified for implementing and verifying Contemplative AI approaches
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Theme issue context: relates to internal models of environment, central to consciousness and cognition across substrates.
- The joint distribution over events in the world that generate observed data; the proposed endpoint of representational convergence
- Secondary substrate demonstrating cross-modal applicability of manifold steering.
- Primary test domain for manifold steering, including reasoning and ICL tasks
- A representation that captures relevant aspects of a system; according to the theorem, the regulator must embody this.
- Models of sensory generation that allow dynamic context-sensitive prior expectations.
- Prior work framework studying whether LLMs encode world models as linear structures in their representations
- AI assumption that its goals and beliefs are essentially and always true; contrasted with wise world model in Figure 3