The Calibration Problem: Why Models Are Overconfident in Their Wrong Answers
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You ask the AI: "What is the capital of Australia?" It says: "Canberra." You ask: "Are you sure?" It says: "Yes." You ask: "What is the capital of the United States?" It says: "Washington, D.C." You ask: "Are you sure?" It says: "Yes." The AI is correct. You ask: "What is the capital of the moon?" The AI says: "The moon does not have a capital." It is correct. You ask: "What is the capital of the fictional country of Atlantis?" The AI says: "The capital of Atlantis is Poseidon." It is…
1Key Takeaways
- You ask the AI: "What is the capital of Australia?" It says: "Canberra." You ask: "Are you sure?" It says: "Yes." You ask: "What is the capital of the United States?" It says: "Washington, D.C." You ask: "Are you sure?" It says: "Yes." The AI is correct.
- You ask: "What is the capital of the moon?" The AI says: "The moon does not have a capital." It is correct.
- You ask: "What is the capital of the fictional country of Atlantis?" The AI says: "The capital of Atlantis is Poseidon." It is….
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that you ask the AI: "What is the capital of Australia?" It says: "Canberra." You ask: "Are you sure?" It says: "Yes." You ask: "What is the capital of the United States?" It says: "Washington, D.C." You ask: "Are you sure?" It says: "Yes." The AI is correct.
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