Language models have deception abilities

Aligning large language models (LLMs) with human values is of great importance. However, given the steady increase in reasoning abilities, future LLMs are under suspicion of becoming able to deceive human operators and utilizing this ability to bypass monitoring efforts. As a prerequisite to this, LLMs need to possess a conceptual understanding of deception strategies. My latest research project reveals that such strategies emerged in state-of-the-art LLMs, such as GPT-4. This is one of the most fascinating findings I made since researching LLMs and I’m excited to share a preprint describing the results here. I’ll continue working on this project.