Partially Verified65% confidenceFactExact time
TypeSafe AI's Jev model accepts a state and a set of typed questions, and directly returns calibrated probability values without requiring natural language text parsing.
3
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65%
Confidence
Long-term
Relevance
10/12/2026
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UnverifiedThe paper's motivation comes from decision models such as Jev (TypeSafe AI, 2026), which return a probability for any yes/no question a developer writes down.72% similarVerifiedJev is a type of front-end model called a 'System 1 model' — fast, cheap, and structured, designed specifically for decision-making; it does not generate text but instead returns probability scores within a predefined set of options.70% similarUnverifiedDecision models do not generate text; instead, given an input state and a set of named questions, they return typed answers with probabilities in a single forward pass.70% similarUnverifiedAI大模型是无状态的文本预测系统，每次推理仅接收当前输入的Token序列，不存储跨请求的持久化状态69% similarUnverifiedInstead of generating text for routing and classification, Jev directly returns structured decisions: a choice from a fixed set of options, a score on an ordered scale, or a probability for a yes/no statement.68% similar
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