System One models are carving out a new layer in the AI stack

This story is from 2026-09-28. It is preserved in the archive; the latest stories are on the live feed.

TypeSafe's Jev returns a typed answer in 70 to 500 ms at $0.042 per million input tokens, with no metered output-token cost

Read the full story at AlphaSignal ↗

Timeline · 1 report

2026-09-28 16:54 · AlphaSignal
System One models are carving out a new layer in the AI stack

More stories

OpenDecider: distilling calibrated "System One" decision models from open teachers, evaluated head-to-head against Laya and TypeSafe's Jev — r/machinelearningnews
TensorSharp Jev requests can now combine documents, images, video, and audio — r/LocalLLM
How JEV works internally — r/learnmachinelearning
New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab — Mixture of Experts (IBM)
How long until OpenAI release their version of Jev? — r/AI_Agents
Supersonic Labs Releases Julia 1: A 144.3M-Parameter Open Decision Model That Runs on a CPU — MarkTechPost
The Decision Plane: Why Jev Changes Enterprise Agent Architecture — DEV Community — AI
What the Hell Is JEV? And Why Does It Matter in 2027? — DEV Community — Machine Learning

Get the daily brief of stories like this at 6:30 every morning →