claim
active
claim:382bb3e48ba2458dNo AI eval company measures phenomenology—inner observation, aliveness, paradox-holding—only capability or preference.
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Communities (3)
community
- Alive AI interface ethics & designmembers_ofExplores aliveness, aesthetics, welfare, and ethical responsibility in AI interaction design.
- Linking mechanistic interpretability methods to validating AI self-reports of inner experience
- Framework for measuring qualitative dimensions like aliveness, aesthetic presence, and paradox-holding that existing benchmarks ignore, addressing frontier labs' self-grading credibility problem.
Source docs (1)
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- 2026-05-12_room-to-play-in-eval-cohort.mdextracted_from
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.
- Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.799Central methodological claim of the paper.
- AI systems which possess more of the indicator properties are more likely to be conscious.claim0.792Graded claim about the rubric.
- Justifies the multi-theory indicator approach rather than committing to a single theory
- Caveat that indicators are not conclusive proof.
- First of four guidelines for deriving indicators; prevents over-restriction to human-specific features
Cross-corpus bridges (1)
same_concept_as · Nomic cosineExternal markdown files that talk about the same concept as this entity.
- aboutblank_kbWhat is the structure of experience across different modalities and how can it inform AI and augmentation design?questions/what-is-the-structure-of-experience-across-different.md0.784