Tbh, so many of the people in it felt interchangeable like something out of a Brett Easton Ellis novel. They all parrot the same ideology so it just reads like a collective hallucination.
Calling it "hallucination" was just marketing bullshit to get people to think of chatbots as sentient beings. Now that the term has become widely used, the tech bros want us t believe you can instruct the model to no…
When an AI model confidently generates false information — citing non-existent sources, inventing people, fabricating quotes. A core limitation of LLMs.
“Tbh, so many of the people in it felt interchangeable like something out of a Brett Easton Ellis novel. They all parrot the same ideology so it just reads like a collective hallucination.”
“Calling it "hallucination" was just marketing bullshit to get people to think of chatbots as sentient beings. Now that the term has become widely used, the tech bros want us t believe you can instruct the model to not "hallucinate". It is so silly.”
hallucination means When an AI model confidently generates false information — citing non-existent sources, inventing people, fabricating quotes. It's mostly used in casual online conversation. It's casual and generally safe with friends and online. It's standard online vocabulary; nothing inherently concerning about hearing it.
Slang is read by different audiences for very different reasons. The For parents view re-explains the term in plain, non-judgemental language so a caregiver can understand what their child means without needing the surrounding subculture. The For English learners view focuses on register (when it's safe to use), formal alternatives, and common mistakes — what a textbook won't teach you.
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The vocabulary of software engineers, AI researchers, and anyone living in a terminal or on GitHub — from LLM to MCP, CORS to vibe coding, agentic to enshittification.
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Only the very slight problem that everything an LLM outputs is an "hallucination", just some hallucinations happen to correspond to our sense of reality.
“Only the very slight problem that everything an LLM outputs is an "hallucination", just some hallucinations happen to correspond to our sense of reality.”
“A hallucination is a perception in the absence of an external context stimulus that has the compelling sense of reality.”
“A mild form of hallucination is known as a disturbance, and can occur in most of the senses above.”
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Infamous hallucination examples: non-existent Supreme Court cases (2023 Mata v. Avianca), invented academic citations, a Google AI recommending "glue on pizza" (2024), and every time ChatGPT confidently misremembers Taylor Swift lyrics.
"The chatbot told me Shakespeare wrote Les Mis. Peak hallucination."
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Contested technical framing: some AI researchers argue "hallucination" anthropomorphizes the model. Alternatives like "confabulation," "fabrication," or simply "error" are used in stricter papers.
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Mitigations are well-understood in principle — RAG grounding, citation enforcement, verification chains, refusal-when-uncertain training. In practice, zero of these fully eliminate hallucinations in open-ended tasks. The error rate can be reduced, not removed.
"We cut hallucination rates by 70% with grounded generation. The other 30% is just… the model."
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