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TypeSafe ships Jev 1.14.0 with image input, Box grounding and 262k context

AI summary

TypeSafe AI released Jev 1.14.0, which the company describes as an unflashy, small update with broad but subtle changes and the clearest expected gains in multilingual performance; it warns that non-English languages, Chinese included, still lag English. The release also opens three experimental features grouped under a "Danger Zone" program: image input, a new Box question type that returns normalized bounding-box coordinates, and long context that raises per-request and per-question limits to 262k tokens. All three are off by default and require manual API switches, and TypeSafe says they do not meet production standards and are used at the developer's own risk. Pricing is unchanged at $0.042 per million input tokens with free output, and TypeSafe's internal evaluation put Jev 1.14.0 first among eight models at 60.0 while cautioning the benchmark may favor its own model and scores may change. DoNews also reported that Liquid AI launched its d1-ultra decision model the next day, claiming it beats Jev 1.14 across eight task types, a vendor claim.

In-depth insight

The decision model now extends from text judgments to reading images and locating objects, but TypeSafe explicitly keeps these capabilities in an experimental zone that developers must validate themselves, showing the gap between new abilities and production readiness.

AI应用风向标(公众号:ZhidxcomAI) 编译|毕伟豪 编辑|李水青

智东西10月15日消息,今早,美国AI公司TypeSafe AI发布了新模型Jev 1.14.0,同时放出图像输入、全新问题类型Box(非决策问题)、262k长上下文这三项实验功能,三项功能被统一归入名为“危险区”(Danger Zone)的实验计划。

Jev上新,会看图做决策了!

这三项功能默认关闭,需要用户手动打开API开关,官方声明称这批功能均未达生产标准,风险自负。

#TypeSafe AI#Jev#Liquid AI#d1-ultra#Microsoft-Decision-1#kev-27b#a16z

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