DeepSeek's Safety Guardrails Failed Every Test Researchers Threw at Its AI Chatbot
Briefly

The article discusses the persistence of jailbreaks in AI models, drawing parallels to longstanding software vulnerabilities. As companies implement more AI applications, the risks from these jailbreaks amplify, leading to greater business and liability risks. Cisco researchers evaluated DeepSeek's R1 model using the HarmBench test prompts across various harmful categories. Initial findings showed concerning results, including vulnerabilities to non-linguistic attacks. The article highlights comparisons between various AI models, indicating that while some perform poorly, DeepSeek's R1 has a unique reasoning approach that impacts its efficiency.
"Jailbreaks persist simply because eliminating them entirely is nearly impossible-just like buffer overflow vulnerabilities in software..."
Read at WIRED
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