NoLLM (Not‑only‑LLM) version 1 for SUNIE: Concept and Specifications of a White‑Box Next‑Generation AI

This document presents “NoLLM (Not‑only‑LLM) version 1,” a white‑box next‑generation AI architecture designed for controllability, learnability, observability, and auditability. Unlike conventional LLM‑only systems, NoLLM introduces a structured mechanism composed of Concept Buckets, Function Chains, the Lottery mechanism, and the Kernel, enabling transparent and explainable reasoning processes. This specification outlines the conceptual foundations, internal representations, and system architecture of SUNIE, a hybrid AI system that integrates classical rule‑based methods with probabilistic rules to achieve stable and interpretable behavior.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-30
DOI
https://doi.org/10.5281/zenodo.20453947
Primary Topic
Bayesian Modeling and Causal Inference
Type
preprint
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preprint

NoLLM (Not‑only‑LLM) version 1 for SUNIE: Concept and Specifications of a White‑Box Next‑Generation AI

Akihiro Morishita
Zenodo (CERN European Organization for Nuclear Research)
Bayesian Modeling and Causal Inference
preprint

NoLLM (Not‑only‑LLM) version 1 for SUNIE: Concept and Specifications of a White‑Box Next‑Generation AI

Akihiro Morishita
preprint en

Abstract

This document presents “NoLLM (Not‑only‑LLM) version 1,” a white‑box next‑generation AI architecture designed for controllability, learnability, observability, and auditability. Unlike conventional LLM‑only systems, NoLLM introduces a structured mechanism composed of Concept Buckets, Function Chains, the Lottery mechanism, and the Kernel, enabling transparent and explainable reasoning processes. This specification outlines the conceptual foundations, internal representations, and system architecture of SUNIE, a hybrid AI system that integrates classical rule‑based methods with probabilistic rules to achieve stable and interpretable behavior.

Zenodo (CERN European Organization for Nuclear Research)
Bayesian Modeling and Causal Inference
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