I asked ChatGPT what it was least confident about, and its advice improved (www.techradar.com)

Eric Hal Schwartz explores a novel approach to engage with ChatGPT by prompting it to reflect on its own uncertainties. By asking questions like "What are you unsure about in your answer?" users can uncover hidden assumptions in the AI's responses, leading to improved and more personalized outputs. This method highlights the potential pitfalls of AI-generated advice, as it often fills gaps with unverified assumptions, which can skew results in situations like planning a family trip or deciding whether to repair or replace a laptop. The significance of this technique lies in promoting more interactive and critical dialogues with AI, enhancing its outputs by addressing its blind spots. Schwartz emphasizes that while this strategy makes conversations feel more natural and helps refine the AI's recommendations, users should remain cautious. The AI's self-assessment of confidence isn't foolproof, reinforcing the importance of corroborating its advice with reliable sources for critical decisions. Overall, this approach encourages users to take a proactive role in shaping their AI interactions, leading to responses that are better tailored to their specific needs.