Hallucination mode is when someone — or something — enters a state of confidently generating nonsense with zero apparent awareness that any of it is wrong.
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Viral internet speak — memes, ratios, main-character moments, and the algospeak of every platform from Twitter to Reddit to TikTok comment sections.
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When an AI model confidently generates false information — citing non-existent sources, inventing people, fabricating quotes. A core limitation of LLMs.
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.
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.
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.
He went full hallucination mode in the Q&A — confident, detailed, completely made up.
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A mega hallucination is a confabulation so sprawling, detailed, and internally consistent that it takes significant effort to unpack where reality ends and fiction begins. Where a regular hallucination might be a wrong date or a misattributed quote, a mega hallucination is a whole fabricated framework: fake studies with real-sounding authors, elaborate backstory with plausible citations, a narrative so complete it almost earns the benefit of the doubt. In both AI and human contexts, mega hallucinations are remarkable objects — painstakingly wrong in ways that require work to demonstrate.