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@hitman42.eth
A hospital trusted AI to recommend doctors. It hallucinated a specialist who didn’t exist. Here’s how one error delayed treatmentand how networks like miraprotocol.twitter are building the fix👇
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@hitman42.eth
In 2022, a hospital in Brazil piloted an AI assistant for triaging patients. The system was supposed to match cases with the right specialists. One critical case needed an urgent neurologist referral.
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@hitman42.eth
The AI offered a name Dr. Felipe Duarte. Based in São Paulo. Specialized in rare brain infections. All seemed fine until the patient’s family tried to reach out.
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@hitman42.eth
No clinic. No registration. No medical license. Turns out: the AI hallucinated the entire doctor. Name, specialty, clinic all made up from fragments of unrelated data.
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@hitman42.eth
The patient’s treatment got delayed by 3 days. That delay wasn’t just inconvenient. It caused permanent nerve damage. No one saw it coming because the AI sounded confident.
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@hitman42.eth
This isn’t a one-off glitch. Hallucinations happen when models don’t verify what they generate. They pull from patterns, not truth. And in high-stakes fields like healthcare or finance, that’s a recipe for disaster.
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@hitman42.eth
So what’s the solution? Enter miraprotocol.twitter building a verifiable AI infrastructure. Think: intelligent query routing + real-time validation + a trust layer that catches fakes before they spread.
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@hitman42.eth
With Mira, LLMs don’t just generate answers. They prove them by routing through verified sources, and cross-checking with real data in real time. It’s AI that doesn’t guess. It confirms.
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@hitman42.eth
Because next-gen AI isn’t just about smarter models. It’s about smarter guardrails. No more ghost doctors. No more confident lies. Just reliable AI, at scale. RT to spread the word: hallucinations aren’t harmless. And networks like Mira are how we fight back.
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