AINewsnow

Your AI Returned Perfect JSON. It Still Made the Wrong Decision.

This story is from 2026-09-26. It is preserved in the archive; the latest stories are on the live feed.

What Jev, structured outputs, and calibrated decisions reveal about building reliable AI workflows. I would consider Jev for decisions in my project where the answer must come from a defined set of options. Its probability estimates interest me, but I would want to check how well they match actual…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-09-26 13:30 · DEV Community — Machine Learning
    Your AI Returned Perfect JSON. It Still Made the Wrong Decision.

More stories

  1. A Coding Guide to TypeSafe AI Jev: Typed Decisions, Calibrated Confidence, and Speculative Fan-Out with a System One Model — MarkTechPost
  2. Mica v0.1 4B: open Jev-style decision model (yes/no, choice, score) that runs on an 8 GB GPU — trained for under $30 of GPU time — r/LocalLLM
  3. Jev vs. Kev: open-source Jev alternative tested side by side — r/LocalLLaMA
  4. How JEV works internally — r/learnmachinelearning
  5. New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab — Mixture of Experts (IBM)
  6. The cheap new AI model taking aim at OpenAI and Anthropic — Financial Times AI
  7. I built an open-weight alternative to Jev / TypeSafe - introducing OpenJudgement-4B (early preview) — r/LocalLLaMA
  8. What Is Laya? Laya vs Jev, with Live Demo!! — DEV Community — Machine Learning

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