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

Viggle Remake is a beast

https://huggingface.co/Viggle/Viggle-Remake For this video I used their included MCP. However, it's currently set up to…

17 hours ago

Floating-Point Precision and Its Effects to Model Inference

Overview This post is divided into five parts; they are: • How Floating-Point Numbers Work…

17 hours ago

The Fridge-Hacking Spree Is an Internet-of-Things Wake-Up Call

Escalating hacks affecting blood labs and grocery stores show the very real risks to critical…

18 hours ago

Changing a character across an ~hour long TV episode

I've been working on a repeatable process to do character swaps (& other types of…

2 days ago

DiffusionGemma: Hands-On with Google’s Text Model That Writes All at Once

In this article, you will learn what DiffusionGemma is, how its diffusion-based text generation differs…

2 days ago

Free AI and Data Courses with 365 Data Science: 100% Unlimited Access until Nov 20

Sponsored Content       From November 5 to November 20, 2026 (starting at 8:00…

2 days ago