# Jev **Entity class:** AI model **Domain:** Artificial intelligence / Decision systems **Maturity:** Developed ## Definition Jev is TypeSafe AI's decision model for fast categorical, numerical, or binary outputs. ## Mechanism and significance Its name invokes Jevons paradox: lowering the cost of one decision may increase total demand for automated decisions rather than merely reducing expenditure. ## 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:** [[System 2 Machine Intelligence]] · [[TypeSafe AI]] · [[Millisecond Categorical Inference]] · [[Micro-Decision Automation]] ## 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. - [TypeSafe AI introduction to Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev) — primary organizational or project source. ## 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.