The Jev launch post
Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
A FIELD GUIDE TO JEV / VOL. 01
Tinh hoa Jev: dự án thực tế, hướng dẫn hữu ích và ý tưởng từ khắp internet.
Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
TypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
x.comAnswers your code can useXem dự án ↗TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyoneXem dự án ↗Four official signals. A fresh starting point on each visit.
7 tài nguyên
AI-assisted summaries and translations. Check original sources for context and performance claims.
A drone navigation experiment where Jev makes real-time decisions to avoid obstacles in an asteroid field.
Source-linked curation
A community post describing an autonomous driving system using Jev to process real-time environmental data.
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A community project using Jev to control a Tesla Full Self Driving simulator, offering a quick rebuild.
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A community post describing a robot arm controlled by Jev, using cameras and decision-making at two decisions per second.
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Using Jev for real-time control of a robot arm in MuJoCo, with a two-step decision process for actions and movements.
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Robot hai tay được điều khiển bởi Jev để ra quyết định, với động học ngược và vật lý được xử lý bởi mã để vận hành hiệu quả.
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A MakerMods robot arm is demonstrated within the MuJoCo simulation environment, showing interaction through JSON state inputs and action selections.
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