AI hallucinations: not a malfunction - a normal output. The model generates plausible text, not verified text. There is no built-in step in LLM where it checks whether its output is true. When the output matches reality, we call it correct. When it doesn't, we call it a hallucination. But the model was doing the same thing both times. Modern systems can reduce hallucinations by checking answers against external sources - but those checks happen around the model, not inside it. The core behavior doesn't change. The gap between fluency and truth is the thing to understand. ▶️ https://unrsnbl.ai/notes/e033-what-hallucinations-are ▶️ Full playlist: https://www.youtube.com/playlist?list=PL3pL28ov_GlKZ8fgcP04yi_nBuBc_i65C 📦 Join us in Telegram: https://t.me/unreasonableai Start tagging your content: www.contentags.com #ai #shorts #notesonai #aibasics #llm #genai #CTHuman #hallucination #aihallucination

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