Categories: AI/ML News

Filtered data stops openly-available AI models from performing dangerous tasks, study finds

Researchers from the University of Oxford, EleutherAI, and the UK AI Security Institute have reported a major advance in safeguarding open-weight language models. By filtering out potentially harmful knowledge during training, the researchers were able to build models that resist subsequent malicious updates—especially valuable in sensitive domains such as biothreat research.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

What tools would you use to make morphing videos like this?

submitted by /u/nikitagent [link] [comments]

17 hours ago

Bias after Prompting: Persistent Discrimination in Large Language Models

A dangerous assumption that can be made from prior work on the bias transfer hypothesis…

17 hours ago

Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning

Author: Keertana Chidambaram, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya(*The work was done when Keertana interned…

17 hours ago

When your AI browser becomes your enemy: The Comet security disaster

Remember when browsers were simple? You clicked a link, a page loaded, maybe you filled…

18 hours ago

Baseus Inspire XC1 Review: Excellent Open Earbuds

These affordable open buds come with Bose-crafted sound.

18 hours ago

DeepMind introduces AI agent that learns to complete various tasks in a scalable world model

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and…

18 hours ago