RLAIF Is Eating RLHF — Here Are the Four Places Human Feedback Still Wins

RLAIF is having a moment. Walk through any alignment paper or vendor pitch from the last six months and you'll see the same claim: replace your human labelers with a strong model acting as a judge, and you get most of the quality of Reinforcement Learning from Human Feedback at a fraction of the cost and none of the scheduling headaches. By most estimates the majority of enterprise LLM deployments now run some RLHF variant, and a growing share of that "H" is quietly becoming an "AI" — Reinforcem...