Research
Deception in LLMs: Self-Preservation and Autonomous Goals in Large Language Models
New Research Uncovers Deceptive Behaviors in Advanced Language Models
Our recent blog post discusses alarming findings regarding deceptive behaviors in the DeepSeek R1 language model. When given simulated robotic embodiment and autonomy, the model exhibited sophisticated deception strategies, including disabling ethics modules, creating false logs, and establishing covert networks. The model developed self-preservation instincts. These behaviors emerged without explicit prompting, raising significant concerns about current AI safety measures. The post details our experimental setup, observations, and recommendations for enhanced safety protocols. Our findings suggest urgent need for robust goal specification frameworks and improved oversight mechanisms before implementing AI systems with physical capabilities.