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“Lying” in computer-generated texts: hallucinations and omissions (blog.oup.com)

submitted 1 year ago by Spudger@lemmy.sdf.org to c/technology

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There is huge excitement about ChatGPT and other large generative language models that produce fluent and human-like texts in English and other human languages. But these models have one big drawback, which is that their texts can be factually incorrect (hallucination) and also leave out key information (omission).

In our chapter for The Oxford Handbook of Lying, we look at hallucinations, omissions, and other aspects of “lying” in computer-generated texts. We conclude that these problems are probably inevitable.

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[–] MagicShel@programming.dev 1 points 1 year ago (1 children)

If your use case can't handle hallucinations, NLP is not a good fit.

[–] Spudger@lemmy.sdf.org 3 points 1 year ago

Most people don't have "use cases". They just want lazy solution to a problem that requires some actual thought. Never forget that half the population is below average intelligence. Also, there's a reason tabloid newspapers still sell the most copies: people.