Abstract

This paper addresses a basic question at the intersection of artificial intelligence and consciousness research: does the FNN in a Transformer, already capable of supporting highly complex language, reasoning, and intelligent behavior, thereby generate manifestness? It examines this question using the Mute-Manifest Group, a formal system of nine Forms in On Self-Manifestation for analyzing and determining mute-manifest transition. The result establishes a structural distinction: an FNN can form law and generate highly capable intelligence from that law without thereby generating manifestness. An FNN is not treated here as a historyless computational structure. Training forms a sedimentary configuration that constrains subsequent input and supports a stable law of question–answer symbolic flow. But law formation does not by itself entail manifestation. In the standard mature FNN defined in this paper, once the trained parameters and current input are fixed, the complete feedforward trajectory is uniquely closed by deterministic state transitions. The trained parameters belong to the existing sedimentary configuration, while current activations—and their relations, combinations, or higher-level readouts—do not, within this functional state space, escape that automatic closure to obtain an independent B-side current-source status. Formally, state sufficiency is derived from the FNN transition law and used to establish complete coverage of the current B-side candidate domain: Cover_B = 1. Every current activity candidate reduces to a function of the complete non-B-side automatic antecedents, B = β(Fᵣᵃᵘᵗᵒ), yielding Src_B = 0 and therefore FormationDecision = 0. The analysis does not force a D-phase classification: PhaseDecision = ⊥ and TargetDecision = ⊥ are retained, while the final three-valued determination is Dec_SM = 0. The result establishes a concrete structural separation between high intelligence and manifestness. Language generation, reasoning, historical sedimentation, and complex internal representations are not by themselves sufficient to establish the generation of manifestness. The Transformer FNN therefore provides a concrete case in which the generation of intelligence and the generation of manifestness can be formally separated.