OpenAI researchers are developing a way for language models to admit their mistakes. They're testing 'confessions,' a method that trains models to acknowledge when they've provided incorrect or undesirable information. This approach aims to improve AI honesty, transparency, and trust in model outputs. --- Why it matters: This matters because it could help engineers build more reliable language models by identifying and addressing potential biases and errors. Source: https://openai.com/index/how-confessions-can-keep-language-models-honest