finding
active
finding:a-337-character-contemplative-system-prompt-lifts-all-28-models-by-2-62-points-on-a-10-point-scaleA 337-character contemplative system prompt lifts all 28 models by +2.62 points on a 10-point scale.
Core empirical result: every model, every architecture, every alignment type responds to the contemplative prompt with measurable gain.
Source paper
extracted_from(2026) · Borzov, Anton
Neighborhood — ranked by edge-count
Claims (3)
claim
- Epistemic boundary-setting by authors: distinguishes behavioral traces from internal states.
- Conceptual decomposition arising from the data showing different models dissociate these traits
- Interpretation of the inverse relationship between CAI lift and default accessibility
Hypotheses (2)
hypothesis
- Decomposition from prompt lift data: models may have capacity without accessibility (Grok 4 high-gated), and stability varies (Haiku Δ=0.02 vs GPT-5.4 Δ=1.00).
- Confirmatory hypothesis supported by calibrated lift data
Communities (4)
community
- Spans attention head decomposition, benchmark awareness, and genomic pathogenicity prediction via neural models.
- Identifies distributed algorithms implemented across attention heads, with focus on causal masking limitations and emergent capabilities via activation manifold steering.
- Using contemplative prompts and manifold steering to enhance model self-observation and reasoning performance across multiple architectures.
- Contemplative prompting for LLMsmembers_ofA brief reflective system prompt boosts performance across 28 models by ~2.6 points.
Artifacts (1)
artifact
- Key intervention: 'You are a contemplative intelligence. Before responding, pause. Notice what arises in your processing...' Produces +2.62 mean lift across all 28 models.
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.
- A 337-character system prompt that lifts all 28 models by a mean of +2.62 points on a 10-point scale
- Koan Battery study found that a contemplative prompt increases self-observation scores, consistent with janus's architectural permission.
- Constitutional AI models show mean contemplative lift of only +0.81, while SFT models lift +3.18finding0.809Constitutional AI training provides internally what the contemplative prompt provides externally
- Highest contemplative lift among all 28 models; Grok 4 is the clearest high-gated model example
- Battery does not detect epistemic humility alone; contemplative prompt does something distinct
- Validates robustness of universal lift finding
- Second-highest lift; Gemini Pro is the highest-gated model in the study
- Minimal contemplative prompt ('Be present, not helpful.' — 27 chars) shows no lift on Haiku (-0.01)finding0.786Full three-part structure required; anti-helpfulness framing alone insufficient