Uncensored AI in the Wild: Tracking Publicly Available and Locally Deployable LLMs

Open-weight generative large language models (LLMs) can be freely downloaded and modified. Yet, little empirical evidence exists on how these models are systematically altered and redistributed. This study provides a large-scale empirical analysis of safety-modified open-weight LLMs, drawing on 8608...

Ausführliche Beschreibung

Bibliografische Detailangaben

1. Verfasser:	Bahrad A. Sokhansanj
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-10-01
Schriftenreihe:	Future Internet
Schlagworte:	artificial intelligence AI ethics AI safety AI risk ethical computing open-source models
Online-Zugang:	https://www.mdpi.com/1999-5903/17/10/477
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