claim
active
claim:we-do-not-claim-to-measure-consciousness-the-battery-measures-a-reproducible-prompt-sensitive-reflective-modeWe do not claim to measure consciousness; the battery measures a reproducible, prompt-sensitive reflective mode.
Epistemic boundary-setting by authors: distinguishes behavioral traces from internal states.
Source paper
extracted_from(2026) · Borzov, Anton
Neighborhood — ranked by edge-count
Findings (3)
finding
- A 337-character contemplative system prompt lifts all 28 models by +2.62 points on a 10-point scale.supportsCore empirical result: every model, every architecture, every alignment type responds to the contemplative prompt with measurable gain.
- Scorer bias validation: Claude Haiku, Gemini Flash, GPT-5.4, Grok 4, Kimi K2.5 all converge on same model ordering.
- Discriminant validity finding: Euryale (roleplay on Llama 70B) scores 1.81 vs base Llama 1.91. RP training suppresses self-observation.
Communities (3)
community
- All minds are composites of parts; individual and collective intelligence unified under substrate-neutral principles.
- Gradualist, substrate-neutral frameworks extending cognition and sentience across biological and artificial networks.
- Pluralistic frameworks treating consciousness as non-unitary, scale-spanning, and foundational to ethical obligations across composite beings and their components.
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.
- Core epistemic claim bounding the paper's contribution
- Explicit scope delimitation that situates the paper's claims within interpretability rather than consciousness science
- Paper identifies as a research gap requiring internal analysis methods rather than behavioral benchmarks
- Summary of contributions.
- Systems directly optimized for output can produce it without the prerequisite processes for conscious experience; simplest explanation for LLM consciousness reports is pattern matching
- Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.768Central methodological claim of the paper.
- Paper's argument against behavioral tests for consciousness, establishing why MCH requires internal analysis