# Intelligence per Parameter **Entity class:** Model-efficiency metric **Domain:** Artificial intelligence / Model economics **Maturity:** Developed ## Definition Intelligence per parameter compares useful model capability with the number of learned parameters used to produce it. ## Mechanism and significance The metric can illuminate architectural efficiency while remaining sensitive to training data, inference compute, sparsity, task selection, and the difficulty of defining intelligence with one score. ## Relationships - **Research dossier:** [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] - **Ontology route:** [[ASI and RSI Timeline Ontology#Model Architecture and Compute Economics|Model Architecture and Compute Economics]] - **Primary fields:** [[Machine Intelligence]] · [[AI Infrastructure]] · [[Compute Race]] - **Adjacent concepts:** [[Long-Horizon Reasoning]] · [[Cost-Performance Frontier]] · [[Intelligence per Dollar]] · [[Model Orchestration]] ## Sources and provenance - [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] — immediate source for this node's role in the broadcast research map. ## Evidence boundary The research dossier establishes why this entity or concept belongs in the Moonshots ontology. Time-sensitive organizational, product, policy, and performance claims should be checked against the linked primary source or a current authoritative source before reuse as settled fact.