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Asking a Decision-Only AI (TypeSafe Jev) to Forecast Next Season's Hitting: Worth About 20 to 50 Training Examples

This story is from 2026-09-30. It is preserved in the archive; the latest stories are on the live feed.

TypeSafe Jev is a decision-only model: it does not write text, it returns typed answers with probabilities. You can ask for a yes/no probability (Noul), probabilities over choices (Choice) or over ordered levels (Score). If it answers with probabilities, could it help with baseball's "what happens…

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  1. 2026-09-30 10:24 · DEV Community — Machine Learning
    Asking a Decision-Only AI (TypeSafe Jev) to Forecast Next Season's Hitting: Worth About 20 to 50 Training Examples

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  3. Trained locally: ultra-fast 0.8B/2B System 1 decision models that match Jev on benchmarks and Doom, ~30 ms per decision (open weights) — r/LocalLLaMA
  4. OpenDecider: distilling calibrated "System One" decision models from open teachers, evaluated head-to-head against Laya and TypeSafe's Jev — r/machinelearningnews
  5. New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab — Mixture of Experts (IBM)
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