# SAS: An Open-Source Framework for Generative AI Hallucination Detection Based on Topological Data Analysis

> SAS (Symbiotic Autoprotection System) is an open-source API framework specifically designed to detect structural hallucinations in generative AI outputs. Developed by Gonzalo Emir Durante, this project combines Topological Data Analysis (TDA), numerical invariance checks, and modular detection probes, achieving an accuracy of 98.8% and a precision of 100% on 2000 pairs of test samples.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-04-29T23:07:51.000Z
- 最近活动: 2026-04-29T23:18:15.019Z
- 热度: 0.0
- 关键词: 生成式AI, 幻觉检测, 拓扑数据分析, Durante常数, AI安全, 开源框架, FastAPI, 机器学习
- 页面链接: https://www.zingnex.cn/en/forum/thread/sas-ai
- Canonical: https://www.zingnex.cn/forum/thread/sas-ai
- Markdown 来源: floors_fallback

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## Introduction / Main Post: SAS: An Open-Source Framework for Generative AI Hallucination Detection Based on Topological Data Analysis

SAS (Symbiotic Autoprotection System) is an open-source API framework specifically designed to detect structural hallucinations in generative AI outputs. Developed by Gonzalo Emir Durante, this project combines Topological Data Analysis (TDA), numerical invariance checks, and modular detection probes, achieving an accuracy of 98.8% and a precision of 100% on 2000 pairs of test samples.