AI Hallucinations Are a Verification Issue

AI hallucinations are an unavoidable feature of probabilistic models, not a problem that can be completely solved. The author argues that AI safety should focus less on making models perfect and more on verifying outputs before they reach users. Current systems often rely on AI reviewing AI, creating risks of shared blind spots. Instead, AI needs independent reviewers, adversarial checking, and immutable audit trails. As autonomous agents take on higher-stakes tasks, verification and accountability will become more important than further reducing hallucination rates.