Jev and System One Models: Calibration Beats Accuracy
Summary
The article analyzes TypeSafe AI's Jev System One model, arguing that calibration is the core bottleneck for production classifiers rather than raw accuracy. It discusses how Jev fits into real ML stacks, outlines an experiment design to test calibration claims, and provides practical guidance for teams evaluating such models.