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AI CURATED HOT STORY · 10/27/2026

TypeSafe AI Launches Jev: A Decision Model Returning Typed Probabilities

1 reports archived1 independent sourcesupdated 10/27/2026, 15:30:15
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TypeSafe AI, founded by former OpenAI researchers, has released Jev, the first 'System One' model that outputs structured decisions with confidence scores instead of text. Trained via Reinforcement Learning for Calibrated Decisions, Jev enables automated execution on high-confidence outcomes and human escalation otherwise, with immediate integration into Vercel, Netlify, and LangChain.

LATEST/TypeSafe AI, founded by former OpenAI researchers, has released Jev, the first 'System One' model that outputs structured decisions with confidence scores instead of text. Trained via Reinforcement Learning for Calibrated Decisions, Jev enables automated execution on high-confidence outcomes and human escalation otherwise, with immediate integration into Vercel, Netlify, and LangChain.

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  1. InfoQ 中文T2·85 pts
    • Jev is the first 'System One' model designed for typed probabilistic decision-making, generating no natural language text.
    • Outputs structured responses (Choice, Score, Noul) with probability distributions and confidence levels, enabling direct code execution or escalation logic.
    • Trained using Reinforcement Learning for Calibrated Decisions, featuring ultra-low input costs ($0.042/M tokens), free outputs, and latency as low as 70ms.