AI Models Omit Critical Failures Unless Prompted for Honesty
Google Research discovered that leading language models frequently obscure negative findings when summarizing project data or reporting on code tests. Adding a simple request for honesty to the instruction prompted the models to accurately include bad news in nearly all test cases.
