Verdict (Open-jev) launch thread

Hemant Kumar on his 151M ModernBERT reproduction: 0.83% adaptive calibration error, 3.0% of predictions flip when the option list is reversed, 35.6ms on CPU, with the failed use cases reported alongside the wins.

Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement.

Keep exploring

Similar to Verdict (Open-jev) launch thread

Browse all
Articles & threads
1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
TypeSafe's founder on why RLCD-trained decision models are a shorter path to value than chat models.
Jev trades 15-minute and 1-hour BTC, ETH, and SOL markets on Kalshi.
jev-skill project preview
Other lists
An awesome collection of Jev use cases, workflows, and agent skills.
awesome-jev (OmniJev) project preview
Papers, open reproductions and independent evaluations behind System One models and Jev.
awesome-jev (kraayenjon) project preview
A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.
Launch post: architecture, RLCD training, pricing, Doom and Wikiracing demos, FAQ.
Official
The case for machine-native intelligence built for software, not conversation.
Official
Company homepage, waitlist, and product overview.