Understanding LLM Hallucinations: It's About Probability, Not Error

By PulseAugur Editorial · [1 sources] · 2026-07-07 06:55

Large Language Models (LLMs) do not aim to AI

IMPACT Explains that LLMs generate probable word sequences rather than seeking factual accuracy, which can lead to 'hallucinations'.

RANK_REASON The item is an opinion piece explaining the nature of LLM hallucinations.

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Understanding LLM Hallucinations: It's About Probability, Not Error

COVERAGE [1]

dev.to — LLM tag TIER_1 English(EN) · Tifehh · 2026-07-07 06:55

The moment I understood why ChatGPT invents facts, everything finally made sense.

<p>I used to think AI made mistakes because it wasn't trained well enough.</p> <p>Turns out, that's only part of the story.</p> <p>Large Language Models aren't trying to "know" the correct answer the way humans do.</p> <p>Their primary goal is to generate the most likely sequence…