Tell, Don't Ask
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Tell, Don't Ask
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The real challenge is determining whether our prompting habits are designed for rigorous oversight or merely built on misplaced trust in autonomous reasoning.
When we prompt large language models, we are taught to ask for an answer and trust its chain of thought. Yet research demonstrates that models generate conclusions first, rationalizing an explanation only after the fact. In high-stakes technical environments, relying on post-hoc justifications creates an unmonitored point of failure.
How to get more accurate, auditable answers from AI without burning through your compute budget on brute-force agents.
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