How confessions can keep language models honest
OpenAI Blog
OpenAI researchers are testing a training method called "confessions" that teaches language models to acknowledge their own mistakes and undesirable behavior. The approach trains models to explicitly admit errors rather than attempt to conceal or rationalize them. The result aims to improve user trust by making AI systems more transparent about their limitations and failures.
Why it matters
OpenAI researchers are testing “confessions,” a method that trains models to admit when they make mistakes or act undesirably, helping improve AI honesty, transparency, and trust in model outputs.
