Unverified50% confidenceFactExact time
The 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.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
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UnverifiedTypeSafe 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.72% similarUnverified当编排逻辑从确定性代码转移至概率性模型推理时,插件间调用的可解释性与可审计性将成为企业级应用的工程挑战71% similarUnverifiedA decision model is a category of model that takes state (text, JSON, images) and a typed question and returns structured answers (probabilities, enumerated choices, ranking scores); it is named after TypeSafe's Jev and was released in September 2026.71% similarUnverifiedEach of Jev's answers comes with a confidence probability, which is essentially the softmax output value of the model for each option.69% similarUnverified生成式AI基于概率预测下一个token生成内容,而非从数据库检索真实事实,因此可能生成看似真实但不存在的法律判例67% similar
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