Model T approach

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Model T metaphorconcept0.819
  Analogy to early Ford automobiles with adjustable parts (vs. modern opaque engines); design goal for Playground's accessibility to customization.
• modelconcept0.781
  A representation that captures relevant aspects of a system; according to the theorem, the regulator must embody this.
• step-by-step approach (coin model)concept0.769
  Setting variables one at a time, keeping adapted ones fixed; the secret of biological evolution and feasible adaptation.
• model selectionconcept0.762
  Comparing models using log-evidence approximated by free energy.
• Model Surgerymethod0.746
  Edits MLP weights for all layers to modify model behavior; used by Abdelnabi & Salem to decrease verbalized evaluation awareness.
• In order to actually do anything, the model must act through simulation of something.claim0.746
  Key consequence: GPT's power comes from simulating something contingent.
• Model Evidenceconcept0.745
  Probability of data under the model, penalizing complexity and rewarding accuracy.
• Model Steeringconcept0.744
  Using interventions to guide model generation behavior, e.g., adding sentiment vectors at inference time