Jev, Clairic and OpenAI Decisions add features, blurring the decision-model category line
What happened
On October 25, Computing Life reported that decision models such as Jev and Clairic have expanded beyond discrete judgments into localization, field extraction and forecasting. Jev 1.14 adds box, Clairic supports field extraction, estimate and forecast, and OpenAI Decisions adds refusal. The report also notes that each vendor defines null values and probabilities differently. It argues these additions are weakening the separate category boundary that decision models built around discrete judgments.
Written by AI from the coverage · updated 2 hours ago
Coverage
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- Computing Life · Share · YageJev 等决策模型扩展功能，正在擦掉自身的品类边界
Jev、Clairic 等决策模型扩展到定位、抽取与预测，文章认为这些功能正在削弱其以离散判断建立的独立品类边界。Jev 1.14 加入 box，Clairic 支持字段抽取、estimate 和 forecast，OpenAI Decisions 则加入 refusal，各家的空值与概率语义并不相同。
Heat over time
Not enough continuous observations to draw a trend yet.