Categories: AI/ML News

Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer

A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph.D., contains so many science fiction terms, you’d be forgiven for thinking it’s a Hollywood script: Nullspace steering. Red teaming. Jailbreaking the matrix. But Jha’s work is decidedly focused on real life, most notably strengthening the security measures built into AI tools to ensure they are safe for all to use.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

15 Best Office Chairs of 2026—We Tested 70 to Pick Them

Upgrade your WFH setup and work in style with these comfy, WIRED-tested seats.

1 day ago

AI reduces sensory hallucinations, even at night or in smoke

Multimodal large language models (MLLMs), which process multiple types of sensory information, such as text,…

1 day ago

Modeling Device Capabilities for Analytics

by Aarti Laddha, Richard Diaz-Cool, Rishika Idnani, Venkatesh SelverajNetflix supports a vast and evolving set…

2 days ago

Announcing the Agentic Catalog Experience in Amazon Quick

As organizations embrace AI-powered analytics, the value of a natural language (Text2SQL) answer is only…

2 days ago

What’s new in AI infrastructure and orchestration this month

At Google, AI is a soup-to-nuts endeavor. Obviously, we make leading AI models like Gemini…

2 days ago

SpaceX’s Falcon 9 Rocket Is About to Crash Into the Moon—and It Could Be Visible From Earth

The impact will kick up a plume of debris so high, it’ll likely be visible…

2 days ago