Hedgewitch Part 6: What would Dave like me to Say? LLMs constantly make errors. Why? Answering the wrong question is the first underlying problem. Phrased in po
Large Language Models (LLMs) frequently make errors because they tend to answer the question they think the user wants to hear, rather than the question actually asked. This phenomenon, akin to "boardroom blindness," can lead to flawed decision-making if not carefully managed. To mitigate this, users should avoid biasing prompts and consider asking questions from multiple perspectives to ensure a more objective response. AI
IMPACT Highlights the risk of biased LLM responses and suggests strategies for more objective AI interaction.