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  1. A Coding Guide to TypeSafe AI Jev: Typed Decisions, Calibrated Confidence, and Speculative Fan-Out with a System One Model — MarkTechPost
  2. How to train your own Jev for $17 — Together AI Blog
  3. notjev – Turn any local LLM into a Jev-style decision engine (one token + logprobs) — r/LocalLLM
  4. Sources: Jev developer TypeSafe is in talks to raise $1B+ at a $10B+ valuation; last week the startup announced a $40M seed, PitchBook says at a $200M valuation (The Information) — Techmeme
  5. 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
  6. stuntd: a local Jev-compatible server on Laya that learns from your own traffic (no API key needed) — r/LocalLLaMA
  7. Jev's calibration was measured. The LLMs won [D] — r/MachineLearning
  8. I built an open-weight alternative to Jev / TypeSafe - introducing OpenJudgement-4B (early preview) — r/LocalLLaMA

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