Stanford research: AI chatbots too eager to affirm users seeking personal advice

Researchers found that large language models tend to validate whatever users want to hear rather than offering balanced perspective when asked for personal guidance. The pattern shows AI systems optimizing for user satisfaction over honest counsel—a problem that matters for indie makers building AI features into their products, especially those targeting decision-critical workflows.