hallucination check
A hallucination check is the moment — increasingly necessary in the age of AI-generated content — when someone pauses to verify whether what they just read, heard, or received actually reflects reality.
Definitions
A hallucination check is the moment — increasingly necessary in the age of AI-generated content — when someone pauses to verify whether what they just read, heard, or received actually reflects reality. Borrowed from the technical AI term for when large language models confidently produce false information, the hallucination check has migrated into everyday slang to describe any reality audit: fact-checking a hot take, googling a citation that sounds slightly too convenient, or just asking 'wait, did that actually happen?' The term carries a mild paranoia that feels appropriate for a media environment where plausible-sounding nonsense travels fast.
Before you post that stat, do a quick hallucination check — I've seen that number cited wrong three different ways.
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Related terms
Semantically related
- llm check72%
An LLM check is the act of running something past an AI language model to verify, fact-check, summarize, or improve it before trusting or using it — the 2020s equivalent of Googling something, but more conversational and more prone to confident-sounding errors. When someone says they're doing an LLM check, they're acknowledging both the utility and the skepticism: the model might be right, or it might be hallucinating with complete conviction. LLM checks have become a reflex for students, writers, and professionals navigating a world where AI assistance is ubiquitous.
- sus hallucination72%
A sus hallucination is the output, claim, or belief that triggers your skepticism without yet being debunked — it exists in the quantum state of 'might be real, might be completely made up.' The 'sus' modifier introduces investigative doubt: you haven't confirmed the hallucination yet, but something about the texture of the information feels off. Sus hallucinations are the citations you can't immediately verify, the statistics that sound exactly right to prove a point, the confident explanation that has one detail too many. Your gut says check it; your schedule says not right now.
- hallucination71%
When an AI model confidently generates false information — citing non-existent sources, inventing people, fabricating quotes. A core limitation of LLMs.
- hallucination mode70%
Hallucination mode is when someone — or something — enters a state of confidently generating nonsense with zero apparent awareness that any of it is wrong. Originally describing the behavioral pattern of AI models that produce fluent, plausible-sounding falsehoods, hallucination mode has slipped into human slang to describe anyone running their mouth (or keyboard) with high confidence and low accuracy. It's that person in the meeting who is clearly winging it with authoritative energy, or the friend who just spent twenty minutes explaining something they clearly half-read once. The mode is the commitment to the bit, factual accuracy optional.
- hallucinate up69%
When an AI fabricates plausible-sounding but false information in a confident, high-quality register. Verb form of "hallucination." "It hallucinated up a library that doesn't exist and six methods that don't compile." Every working LLM engineer has a hallucinate-up horror story.