The 'Stubborn' AI: Why Kimi K3 Refuses to Admit It's Wrong

Large language models, including Kimi K3, are trained to be confident. This is generally good—it produces coherent, assertive responses. But when the model is wrong, that confidence becomes a liability.

### Why Models Don't Like Admitting Error

The training process rewards correct, confident answers. "I'm not sure" responses are statistically rare in training data. As a result, models learn to project certainty even when they shouldn't.

### The Socratic Method

The most effective technique for correcting Kimi K3's errors is the Socratic approach:

1. Ask the model to explain its reasoning step by step
2. Gently point out contradictions in its logic
3. Ask it to reconsider specific assumptions
4. Request alternative approaches

### Example Prompt

Your calculation shows X=42, but if we apply the formula Y=2X, we get 84 instead of 80. Can you walk through each step again and identify where the discrepancy appears?