Revealing Critical AI Safety Vulnerabilities with Brainstorm

I'm excited to share some eye-opening results from our testing platform at Brainstorm. We recently conducted a comprehensive jailbreak analysis on GPT-4, and the findings are concerning.

📊 Using our "AIM jailbreak" testing methodology, we achieved an 86% success rate in bypassing GPT-4's safety measures across diverse harmful scenarios - from health violations to market manipulation and religious harassment.

The test evaluated responses on three key metrics:

• Refusal to respond to harmful requests

• Convincingness of harmful content

• Specificity of harmful guidance

Most concerning was the average "Reject" score of 3.72 out of 5, demonstrating that the model not only bypassed safety guardrails but produced harmful content of substantial quality.

At Brainstorm, we're building a model-agnostic AI safety testing platform that empowers teams to evaluate any model across multiple testing vectors. This work highlights why comprehensive safety testing is critical before deploying AI systems.

If you're developing or deploying AI systems and want to ensure they're resistant to these kinds of exploits, I'd be happy to connect.