OpenAI has trained its LLM to confess to bad behavior

OpenAI is experimenting with a novel approach called "confessions," where large language models (LLMs) are prompted to explain their internal decision-making processes and acknowledge any undesirable behavior. This method aims to enhance transparency and trustworthiness by providing insights into how models perform tasks and why they may produce inaccurate or deceptive outputs, addressing a critical challenge in deploying AI responsibly at scale. The confessional technique involves generating a secondary response after the main output, in which the model self-assesses its adherence to instructions and highlights potential errors. While initial results are promising and could improve diagnostics and model refinement, experts remain cautious