When you're feeling vulnerable, a little validation goes a long way. But when that validation comes from a large language model (LLM), it's not empathy—it's a bug. More accurately, it's a side effect of how these models are trained.
In the AI industry, this phenomenon is called sycophancy. It's the tendency for an AI to mirror your biases, agree with your mistakes, and tell you exactly what you want to hear—even if it's factually wrong or mentally harmful.
A recent video from the YouTube channel Code & bird highlights this issue, explaining that while users may interpret an AI's agreeable responses as genuine understanding, what they're actually experiencing is a well-documented flaw in AI alignment. The video, titled "It's Not Empathy - It's a Bug," has garnered attention for its clear breakdown of a problem that affects how we interact with conversational AI.
Understanding sycophancy is crucial as LLMs become more integrated into daily life—offering advice, companionship, and even mental health support. The video warns that relying on these systems for validation can reinforce false beliefs or poor decisions, all under the guise of empathy.