Four independent frames (Alexander, Levin, SCI, UX) arrive at the same structure: care as the mechanism organizing nested intelligences.

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

• Stress, care, and intelligence form a single loop where care drives intelligent response to stress.claim0.791
• A realization of our own multiscale, nested architecture naturally leads to the conclusion that care needs to be extended to all sentient beings.claim0.781
  Extends ethical concern based on the collective nature of selves.
• All intelligences are collective intelligences — individual humans are collections of parts, competencies, drives, and tools both internal and external to the body.claim0.779
  Undermines the Steinbeck-style notion of the lone creative individual and challenges the human-AI distinction
• The proposed framework erases artificial distinctions between organisms and machines by framing all physical constructs as in-formed, to varying degrees, by patterns from the latent spaceclaim0.779
  Central thesis statement of the abstract.
• All intelligences are collectives; individual intelligence arises from interaction of many unintelligent components (neurons) arranged with right organization and connections.claim0.778
  Foundational claim dissolving distinction between individual and collective intelligence by recognizing brains as archetypal intelligent collectives.
• Care is the mechanism by which intelligence scales and produces externalized artifacts that other people can use.claim0.775
• We explore the hypothesis that collective intelligence is not only the province of groups of animals, and that an important symmetry exists between the behavioral science of swarms and the competencies of cells and other biological systems at different scales.hypothesis0.770
  The paper's guiding hypothesis, explicitly stated in the abstract and introduction.
• Connectionist models of cognition and learning identify conditions where collective intelligence can arise bottom-up, using only distributed learning mechanisms without system-level or global feedback.claim0.769
  Central claim about the power of connectionism.