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...

Celý popis

Podrobná bibliografie

Hlavní autor:	Bahrad A. Sokhansanj
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-10-01
Edice:	Future Internet
Témata:	artificial intelligence AI ethics AI safety AI risk ethical computing open-source models
On-line přístup:	https://www.mdpi.com/1999-5903/17/10/477
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!