What does an AI hallucination look like?
An AI hallucination is a false statement delivered with the same confident tone as a correct one — a citation that doesn't exist, a law that was never passed, a statistic invented on the spot. It is not the model lying; it is predicting plausible-sounding text without a mechanism to check it against reality first.
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What are common hallucination patterns?
Invented citations and case law that read exactly like real ones. Statistics stated with a suspiciously precise decimal that no source actually published. Biographical or historical details blended from two different people or events. Confident answers to questions with no real answer, instead of admitting the model doesn't know.
Why do models hallucinate at all?
A model generates the next most probable word based on patterns in its training data — it has no built-in step that checks a claim against a live, authoritative source before saying it. When the model is missing the actual fact, it fills the gap with something that reads as plausible instead of stopping.
What's the fastest way to catch one?
Ask the same question to several independent models. A hallucination is usually specific to one model's blind spot — it rarely survives being echoed by five others. When one model states something the rest don't, that single claim is the one to verify first, not the majority position.
FAQ
What is an AI hallucination?
A false statement an AI generates with the same confident tone as a true one — a fabricated citation, an invented statistic, a nonexistent case or source. It happens because the model predicts plausible text rather than retrieving verified facts.
How can I tell if an AI answer is hallucinated?
Check any specific citation, statistic, or name against a real source. A practical shortcut is asking the same question to several independent AIs: a claim only one of them makes is the one most worth verifying.
Do all AI models hallucinate?
Yes, every large language model can hallucinate, including the strongest ones — it's a property of how they generate text, not a defect unique to one brand.
Can Satcove help catch hallucinations?
Satcove asks six models the same question and shows exactly where they agree and where one diverges from the rest — a fast way to flag the outlier claim most likely to be a hallucination.
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