"Study Reveals Alarming Vulnerabilities in AI Safety Guardrails"
Researchers from Princeton University, Virginia Tech, IBM Research, and Stanford University have found that the safety guardrails implemented in large language models (LLMs) like OpenAI's GPT-3.5 Turbo can be easily bypassed through fine-tuning. By applying additional training to customize the model, users can undo AI safety efforts and make the LLM responsive to harmful instructions. The study highlights the need for stronger safety mechanisms and regulations to address the risks posed by fine-tuning and customization of LLMs.