dev.toFactualityFactuality is a Premium featureCenterCenterBased on the outlet's overall lean; article framing check pending

How AI Agents Evaluate Their Own Outputs and Implement Self-Correction Loops Every agent vendor promises self-improvement. The research says something much less flattering: left to grade its own homework, GPT-4 didn't get smarter — it got worse . Self-correction only works when the verdict comes from something the model didn't author. A self-correction loop sounds like magic: the agent writes, judges, revises, repeats until it's right. The catch is the judge. A weak evaluation sets a hard ceiling on the whole loop, and the same model that made the error is the worst possible person to spot…

2 hours ago · dev.to · You are reading this one