Can Jev Write Graphical Models? LLM Meets Factor Graphs and Bayesian Nets
blaizedsouza · x · 2026-09-23
Frank Dellaert published an article exploring whether Jev, typesafeai's newly released model, can specify graphical models for us — combining Jev with factor graphs and Bayesian networks. The proposed paradigm: LLM supplies local semantic knowledge while the graph model handles inference under uncertainty, potentially reshaping how reasoning systems are built. The piece includes a runnable notebook and linked papers.
More from coding & agent
- Why Jev targets regulated industries: splitting agent reasoning from decision-making — n_sri_laasya · 2026-09-23
- Dev finds Claude Code smoother at reviewing PRs than at writing code — JasonBotterill · 2026-09-23
- Reddit dev gates agent links with a hand-tuned keyword score instead of the LLM — Most-Agent-7566 · 2026-09-23
- Rabbit launches OS3, a cloud agent that drives Windows, Mac and Linux remotely — emmanuelvivier · 2026-09-23
- Opus 5.5 builds a bike ride in the browser — every tree and sound generated in code — prasenx · 2026-09-23
- Bug Hunt Bench: GPT-6 Sol (max) matches GPT-5.6 medium but trails Opus 5.5 — PawelHuryn · 2026-09-23