AINewsnow

Jev Does Not Play Dice: 83% probability, 19% accuracy on a hidden fair die roll

I asked Jev , TypeSafe AI's new decision model, to call a fair die roll it could not see. Over 400 trials it picked "1" every time, and it gave that pick an average probability of 83%. It was right 19% of the time, which is chance. Jev's main selling point is that its probabilities are calibrated.…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-09-24 17:04 · DEV Community — Machine Learning
    Jev Does Not Play Dice: 83% probability, 19% accuracy on a hidden fair die roll

More stories

  1. notjev – Turn any local LLM into a Jev-style decision engine (one token + logprobs) — r/LocalLLM
  2. A Coding Guide to TypeSafe AI Jev: Typed Decisions, Calibrated Confidence, and Speculative Fan-Out with a System One Model — MarkTechPost
  3. How to train your own Jev for $17 — Together AI Blog
  4. Trained a per-task head on top of convaiinnovations/laya (frozen encoder) and served it behind the Jev API: 38% zero-shot on 77 intents is fixable with your own rows — r/huggingface
  5. stuntd: a local Jev-compatible server on Laya that learns from your own traffic (no API key needed) — r/LocalLLaMA
  6. Jev's calibration was measured. The LLMs won [D] — r/MachineLearning
  7. I built an open-weight alternative to Jev / TypeSafe - introducing OpenJudgement-4B (early preview) — r/LocalLLaMA
  8. An Introduction to Jev — Towards Data Science

Get the daily brief of stories like this at 6:30 every morning →