Analyzing Jev, a new AI model — Senko Rašić

kept by eddie sep 23

Jev, a new System One classification model derived from BERT, offers LLM‑like usability with far higher speed, lower cost, and type‑safe outputs without hallucination or fine‑tuning.

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 typesafe, Jev, #machine-learning, #ai
Jev is to tool use what RAG is to context
RAG pre-selects model input context while Jev pre-selects model output options; both constrain the model to a developer‑defined frame, contrasting with fully agentic models that decide dynamically.
also on typesafe, Jev, #ai
Introducing System One Models & Jev - TypeSafe AI Blog
TypeSafe AI releases Jev, a System One model that provides structured, hallucination-free decisions at sub-500ms speeds, aiming to replace LLMs for automation workflows.
also on Jev, #automation, #ai
tokens too cheap to meter
The price of running machine‑learning intelligence is falling by orders of magnitude yearly, making AI tokens as cheap as electricity and enabling pervasive local and hosted AI use.
also on Jev, #automation, #ai