Sebaraya Tech – An AI hallucination is an answer that sounds confident and plausible but is simply wrong. OpenAI defines hallucinations as plausible but false statements generated by language models. The US standards agency NIST calls the same problem confabulation.
Every major chatbot can do it, including the ones from Google and OpenAI. This guide explains why it happens, which questions are riskiest, and a simple routine for checking answers before you rely on them.
Why Chatbots Make Things Up
A language model learns by predicting the next word in huge amounts of text. That training doesn’t label sentences as true or false; it only teaches what tends to come next.
Patterns like grammar and spelling become reliable at scale. One-off facts, such as a specific person’s birthday, can’t be worked out from patterns, so the model may fill the gap with something that merely sounds right.
OpenAI also points to how models are graded. Scoring that only counts correct answers treats “I don’t know” as badly as a wrong guess, which nudges models toward guessing.
A Real Example From OpenAI
In its September 2025 research, OpenAI described asking a widely used chatbot for the title of a researcher’s PhD dissertation. It gave three different wrong answers.
Asked for the same researcher’s birthday, it produced three different wrong dates. Each answer looked perfectly reasonable on its own, which is exactly what makes hallucinations hard to spot.
Questions Most Likely to Go Wrong
| Riskier questions | Why |
|---|---|
| Facts about specific people | Rare details can’t be inferred from patterns; Google also warns answers about people may be inaccurate |
| Exact numbers, dates, and quotes | One wrong digit still reads as fluent text |
| Citations and sources | A chatbot can invent a plausible-looking reference |
| How the AI itself works | Google notes Gemini can misstate how it was trained or how it cites sources |
These patterns come from OpenAI‘s research and Google‘s Gemini help pages. Broad explanations of well-known topics tend to be safer than narrow facts, but no category is risk-free.
How to Check an AI Answer
- Ask for sources. In Gemini, a Sources button opens the links behind an answer; if there’s no button, no links were provided.
- Open the source and confirm it actually says what the chatbot claims.
- Check names, numbers, dates, and quotes against an official or original source.
- Ask the same question in a new chat. If the answer changes each time, treat it as unreliable.
- Flag wrong answers with the thumbs-down button so the provider can improve.
Never rely on a chatbot alone for medical, legal, or financial decisions. Google says Gemini’s responses shouldn’t replace professional advice.
Will Hallucinations Go Away
Not entirely. OpenAI says accuracy will never reach 100%, because some questions simply can’t be answered from the information available.
What can improve is honesty about uncertainty. OpenAI argues that models should be rewarded for saying they don’t know instead of guessing. A chatbot that says “I’m not sure” is doing its job well.
Pick one fact from your last chatbot conversation and look it up. It’s the quickest way to calibrate how much you trust the tool.
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