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lm_fraction_eq

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The equality fixes the language model alignment fraction at exactly 7/8. Workers building the three-substrate validation certificate cite this value to confirm the shared fixed point and descent properties across language models, photonic qubits, and magnetized plasma. The proof is a direct reflexivity on the constant definition of the fraction.

claimThe language model alignment fraction equals $7/8$.

background

The module documents a hypothesis-grade certificate for J-cost uniqueness across three substrates: language models (7/8 layer alignment), photonic qubits (code rate 7/8), and magnetized plasma (convergence to x=1.036). All substrates share the fixed point at x=1 where J(1)=0, descent along the J-cost gradient, and the multi-channel J_n extension. The language model alignment fraction is introduced as the rational constant 7/8 that records the proportion of MLP layers in which J-cost beats cross-entropy.

proof idea

The proof is a one-line wrapper that applies reflexivity to the definition of the language model alignment fraction.

why it matters in Recognition Science

This equality populates the lm_alignment field inside the threeSubstrateCert definition, which also records validationSubstrateCount, shared_fixed_point, shared_descent, and shared_symmetry. It supplies the concrete numerical anchor for the hypothesis-grade certificate that validates J-cost across substrates, consistent with the Recognition Science fixed point at x=1 and the eight-tick octave structure. The certificate remains open for further formalization of the reported 96.4 percent empirical alignment rate.

scope and limits

Lean usage

lm_alignment := lm_fraction_eq

formal statement (Lean)

  46theorem lm_fraction_eq : languageModelAlignmentFraction = 7/8 := rfl

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