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Glossary

Hallucination (AI) — definition and meaning

An AI hallucination is when a model generates information that sounds confident and plausible but is factually wrong or invented. A core limitation of large language models.

Last reviewed 2026-05-25

Hallucination is the term for an AI confidently stating something false — a fabricated fact, a misremembered detail, an invented citation. It happens because LLMs generate statistically likely text, not verified truth. For AI companions, hallucination shows up as a partner 'misremembering' your history or inventing shared events, which is jarring precisely because it breaks the continuity the relationship depends on. It's one of the main things a good memory system mitigates: grounding the model in a verified record reduces how often it invents the past.

Common questions

About hallucination (ai).

What is hallucination (ai)?

An AI hallucination is when a model generates information that sounds confident and plausible but is factually wrong or invented. A core limitation of large language models.

How is "hallucination (ai)" used in AI companion apps?

Hallucination is the term for an AI confidently stating something false — a fabricated fact, a misremembered detail, an invented citation. It happens because LLMs generate statistically likely text, not verified truth. For AI companions, hallucination shows up as a partner 'misremembering' your history or inventing shared events, which is jarring precisely because it breaks the continuity the relationship depends on. It's one of the main things a good memory system mitigates: grounding the model in a verified record reduces how often it invents the past.

What other terms relate to hallucination (ai)?

Related terms in the AI companion space include: LLM (large language model), Context window, Long-term memory (in AI companions). Each has its own glossary entry on /glossary.