Correction: Sokhansanj, B.A. Uncensored AI in the Wild: Tracking Publicly Available and Locally Deployable LLMs. Future Internet 2025, 17, 477
Abstract
The author requested to add some new content and cite a new reference in Section 2 after the sentence “The empirical work presented in this paper is particularly needed now because, despite the rapid spread of open-weight models, empirical research on their safety remains limited [...]
Fields of Study & Subjects
Ethics and Social Impacts of AI
Adversarial Robustness in Machine Learning
Topic Modeling
Publication details
- Journal / source
- Future Internet
- Volume
- 18
- Issue
- 1
- Pages
- 49–49
- Publication date
- 14 January 2026
- Language
- EN