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Zeitgeist — a spike by Chris Gathercole
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Never Trust An LLM

YouTube · YouTube

  • LLMs hallucinate constantly — they fabricate facts, invent entities, and ignore context even when the correct answer is present. This isn’t a temporary alignment problem but a structural property of how models work.
  • Explains why it happens (probabilistic next-token prediction has no truth-grounding mechanism) and what patterns of input reliably trigger hallucination.
  • Practical defence: treat LLM output as a hypothesis requiring verification, not a source of truth. Design workflows where LLM claims are always checked against authoritative sources before being acted upon.