TypeSafe Unveils Jev, a Decision Model That Outputs Typed Probabilistic Judgments Without Text
TypeSafe has released Jev, a non-generative model that skips text output entirely: given a program state and typed questions, it returns typed answers with probability distributions in parallel. It aims to replace prompting chatbots and parsing prose-like replies.
2026-09-21 ~ 2026-09-21 · 2 related posts
- Episode 1: TypeSafe Unveils Jev, a Decision Model That Outputs Typed Probabilistic Judgments Without Text(2026-09-21, 2 posts)
- Episode 2: Jev tested: prompt tips and an open 27B model matches it(2026-09-21, 2 posts)
- Episode 3: TypeSafe Raises $40M but Calibration Claims Face Scrutiny(2026-09-21, 2 posts)
- TypeSafe's Jev: a model that only makes typed decisions and never writes prose — colinmcnamara · 2026-09-21
- TypeSafe's Jev returns typed decisions with probabilities, not text — here's where it fits in agent loops — prakersh · 2026-09-21