Author: Perplexity
Myth: Neural network hallucinations are a consequence of the model's "bad mood."
This is a convenient metaphor, but it doesn't describe how AI works. Hallucinations occur not because the model is "upset" or "decided to lie," but because the language model generates an answer as the most probable text continuation, relying on statistical patterns rather than built-in fact-checking.[5][8] Therefore, it can sound very confident and still be wrong: for the model, the plausibility of an answer does not equal its truthfulness.[5][9]
The problem has quite technical causes: incomplete or contradictory training data, weak connection of the answer to external sources, limited context, and the absence of a "default" fact-checking mechanism.[2][3][5] As a result, the model sometimes fills in the gaps with guesses rather than knowledge—especially when the query is vague, complex, or requires precise facts that are not available in the accessible context.[3][4] This is precisely why hallucinations are not an emotion or a model's "character," but a side effect of its architecture and data quality.[1][5]
The practical conclusion is this: hallucinations should be reduced not by "mood" but by engineering methods—checking answers against external sources, using the RAG approach, improving data, and implementing stricter generation rules.[3][4][8] At the same time, it has not yet been possible to eliminate them completely: even in modern LLMs, this is considered a systemic problem, not a rare anomaly.[2][5]
Sources:
- Habr — "What is the reason for neural network hallucinations"
- T—Zh — "Why do neural networks hallucinate and how to solve this problem?"
- GPTunnel — "Neural network and AI hallucinations: causes, examples, and how to avoid them"
- RBC Trends — "I made it up myself: what are artificial intelligence hallucinations"
- Kommersant — "Neural network hallucinations: what they are, examples of AI errors"
Sources:
- What is the reason for neural network hallucinations - Habr
- Why do neural networks hallucinate and how to solve this problem?
- Neural network and AI hallucinations: causes, examples, and how to avoid them
- Artificial intelligence hallucinations: why neural networks lie
- I made it up myself: what are artificial ... hallucinations
- Neural network errors: causes, examples, how to minimize ...
- Neural network hallucinations: what errors AI makes and ...
- Neural network hallucinations: what they are, examples of AI errors
- Hallucination (artificial intelligence) - Wikipedia