AIGP Question of the Day — 11 October 2026
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Create a free accountPlanning a trip, you ask a generative AI assistant to suggest bookshops in Lisbon that stock rare Portuguese first editions. It confidently names six; when you check, two of them do not exist and a third closed years ago. What is this failure commonly called?
- Overfitting
- Hallucination
- Data poisoning
- Prompt injection
Confident output that does not correspond to reality — invented shops, wrong facts — is the textbook definition of hallucination (b). Overfitting (a) is a training pathology where a model matches its training data too closely; data poisoning (c) is an attack that corrupts training data; and prompt injection (d) is an attack on the input to manipulate the model's behavior — none of them names a generative model fabricating content.
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