Jev introduces a new shape of LLM—System One, aka Decision Models

kept by kotsakis sep 22

The piece presents Jev, a TypeSafe AI decision‑model that turns text inputs into probabilistic scores for yes/no, choice, and rating tasks, explores its low cost, bias risks, and community hacks.

Jev, Prolog, Pi, and the dream of probabilistic logic programming
The integration of Jev with DeepClause and its Pi extension enables scalable probabilistic logic programming for expert‑system applications like SOP2AGENT.
also on Typesafe.ai, Jev, #open-source, #ai-coding, #developer-tools
Jev’s Architecture Unmasked — archerhume
By probing Jev's API with 10k calls, the author infers Jev is a causal transformer (possibly sparse MoE) that reads shared state and outputs decision probabilities directly without text generation.
also on Jev, #developer-tools
Jev is an honest game changer.
Jev, a constrained decision model, matched Grok's 89.6% accuracy on 48 game questions while cutting latency 84% and cost 88.5% by using a selective Gemini fallback.
also on Jev, #developer-tools