A FIELD GUIDE TO JEV / VOL. 01
Lo mejor de Jev: proyectos reales, guías prácticas e ideas de toda la web.
TypeSafe AI@typesafeaiOFFICIALTypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
TypeSafe AI@typesafeaiOFFICIALTypeSafe 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 useVer proyecto ↗
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo 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 AI@typesafeaiOFFICIALTypeSafe 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 everyoneVer proyecto ↗Four official signals. A fresh starting point on each visit.
7 recursos
AI-assisted summaries and translations. Check original sources for context and performance claims.
A community project using Jev to control a Tesla Full Self Driving simulator, offering a quick rebuild.
Source-linked curation
A community post describing a robot arm controlled by Jev, using cameras and decision-making at two decisions per second.
Source-linked curation
A drone navigation experiment where Jev makes real-time decisions to avoid obstacles in an asteroid field.
Source-linked curation
Using Jev for real-time control of a robot arm in MuJoCo, with a two-step decision process for actions and movements.
Source-linked curation
RaptorRobot de dos brazos controlado por Jev para toma de decisiones, con cinemática inversa y física manejadas por código para operación eficiente.
Source-linked curation
A community post describing an autonomous driving system using Jev to process real-time environmental data.
Source-linked curation
A MakerMods robot arm is demonstrated within the MuJoCo simulation environment, showing interaction through JSON state inputs and action selections.
Source-linked curation
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