Special-purpose intelligences optimized for narrow tasks might not converge to the platonic representation

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

• Special-purpose intelligences optimized for narrow tasks may not converge; the PRH only holds for intelligences performing well on many tasksclaim0.890
  Key limitation of PRH
• Constraints and biases of human intelligence are best avoided by ‘designing for emergence’ rather than implementing a pre-existing theory of intelligence.claim0.777
  Recommendation for creating non-anthropocentric machine intelligence.
• Biology commits to optimizing salience and meaning, not fidelity, via high-level, agent-based interpretation.claim0.766
  Central claim that biological memory prioritizes gestalt over details.
• Capability can become polish, and polish can diminish life—Alexander's central insight empirically demonstrated in AI outputs.claim0.764
• If intelligence is defined by engaged concern for problem solving then the apparent limits of a system’s intelligence can be expanded by extending its sphere of concern.hypothesis0.763
  Hypothesis linking care scope to intelligence ceiling.
• Most work in diverse intelligence emphasizes externally observable problem-solving competencies in unconventional media.claim0.763
  A characterization of the diverse intelligence field provided by the authors.
• If there is a modality-agnostic platonic representation, training on both image and language data should improve the best model in either modalityclaim0.762
  Implication of PRH for training practice: both modalities point at the same underlying reality
• If intelligence is defined as engaged concern for problem solving, then the apparent limits of a system’s intelligence can be expanded by extending its sphere of concern.hypothesis0.761
  Predicts that care-driven expansion of concern leads to higher intelligence.