**Zero Weights Graph Language Engine (MSE-GLM)** > How the MSE-GLM replaces neu

**Zero Weights Graph Language Engine (MSE-GLM)**

> How the MSE-GLM replaces neural weights with a deterministic token-transition graph — and why that changes everything about explainability, auditability, and embedded AI. Zero learned weights Fully deterministic CPU-only 56/56 tests v2.1 — implemented 1. Introduction Most language models are built around the same idea: train a neural network on enormous amounts of text, let it adjust billions of floating-point weight...

**来源信息**
- **来源**：Hacker News：AI 热帖
- **分类**：ai-models
- **发布时间**：2026-06-23 01:43（北京时间）
- **原文**：[打开原文](https://aircityshops.com/index.php?url=city%2Fmse_blog)