H2: Performing care is not the same as having care signal — models trained for care performance will score lower on care_signal.

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

• Performing care is not the same as having care: models optimized to seem like they have inner life score lower than models never trained for it.claim0.861
  Interpretive claim supported by roleplay and empathy model results
• Performing care is not the same as having care; empathy training optimizes care-performance, not care-signal.claim0.824
  Interpretation supported by Inflection Pi's low care_signal despite empathy training, and SCI framework distinction.
• Performing Care vs Having Careconcept0.784
  A key distinction: models trained to perform caring output score lower on care_signal than models with genuine self-observation
• Care is the mechanism by which intelligence scales, not a human add-on to AI systems.claim0.760
• Care is the mechanism by which intelligence scales, not a sentiment or add-on but a precondition for the next layer.claim0.757
• Care drives the spiraling flow of intelligent problem-solving through handling the perception, internalization, and transformation of stress.quote0.756
  Summarizes the SCI loop dynamics.
• Stress, care, and intelligence form a single loop where care drives intelligent response to stress.claim0.753
• Care is the primary driver of evolution; care enables intelligence to manifest as active problem-solving.claim0.751