Smarter AI, Bigger Hallucinations? The next frontier in risk isn’t ignorance — it’s overconfidence

A recent article makes an interesting assertion: as new AI models become more powerful and “intelligent,” they’re also becoming more likely to hallucinate. Not less. These models are optimized to sound helpful and confident — but that’s not the same as being truthful or accurate. That’s a fundamental shift with big consequences.

For legal, compliance, and product teams, this raises a red flag. We can’t conflate accuracy with reliability, or fluency with trustworthiness. Just because a model sounds convincing doesn’t mean it’s right. Think of it like working with a junior associate who presents every answer with polish and precision — but never ran the cite check. Helpful? Maybe. Trustworthy? Not without scrutiny.

We’re entering an era where AI won’t just be wrong — it’ll be persuasively wrong. That changes how we need to think about risk. It’s not enough to assess outputs. We need clear validation layers, meaningful use-case limits, and better guardrails for how people rely on AI in critical workflows.

Smart doesn’t mean safe. And hallucinations don’t excuse harm. It’s on us to build — and counsel — responsibly.

Read the full article here: https://futurism.com/ai-industry-problem-smarter-hallucinating

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