Byron John Bunt

Deterministic Intelligence Orchestration: Treating Neural Inference as a Scarce Residual Resource

Large language models are commonly deployed as the default computational substrate for tasks that combine retrieval, reasoning, transformation, and linguistic realization. This paper evaluates an alternative architecture in which deterministic computation resolves, validates, nar...

Deterministic Intelligence Orchestration: Treating Neural Inference as a Scarce Residual Resource

Large language models are commonly deployed as the default computational substrate for tasks that combine retrieval, reasoning, transformation, and linguistic realization. This paper evaluates an alternative architecture in which deterministic computation resolves, validates, nar...