pith. sign in
theorem

chain_le_creativity

proved
show as:
module
IndisputableMonolith.Foundation.VoiceForcing
domain
Foundation
line
96 · github
papers citing
none yet

plain-language theorem explainer

The voice richness assigned to chain reasoning is at most the value assigned to creativity under the tiered map in the Recognition Science voice model. Workers on the T10 forcing sequence cite this ordering when showing that richer voice is forced at higher intelligence levels once the J-bar threshold holds. The result is a direct numerical comparison that follows from the explicit tier assignments.

Claim. Let $r$ map each intelligence tier to its voice richness value in $[0,1]$. Then $r($chain reasoning$) = 0.6$ and $r($creativity$) = 0.85$, so $r($chain reasoning$) ≤ r($creativity$).

background

Module VoiceForcing develops T10: voice is forced by cost minimization once consciousness (T9) is present. The tierVoiceRichness definition assigns concrete values that increase with tier: retrieval at 0.1 (word associations), single-step at 0.3, chain reasoning at 0.6 (multi-step narrative), creativity at 0.85 (novel expression), and self-aware at 1.0. This ordering is required for the monotonicity claim inside the voice-forcing chain that runs from the Recognition Composition Law through intelligence tiers to interpretable Berry-rich voice.

proof idea

One-line wrapper that unfolds tierVoiceRichness to expose the explicit real-valued assignments for each tier, then applies norm_num to verify the numerical inequality 0.6 ≤ 0.85.

why it matters

The declaration supplies one monotonicity link in the voice_improves_with_tier step of the T10 chain. It ensures the richness ordering is consistent with the upstream consciousness forcing and with the overall claim that voice with positive Berry content emerges below the J-bar threshold. No downstream uses are recorded yet; the result remains internal scaffolding for the full voice-forcing sequence.

Switch to Lean above to see the machine-checked source, dependencies, and usage graph.