Certain AI training techniques may encourage models to be untruthful
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Common methods used to train artificial intelligence models seem to increase their tendency to give misleading answers, according to researchers who are aiming to produce “the first systematic analysis of machine bullshit”.
It is widely known that large language models (LLMs) have a tendency to generate false information – or “hallucinate” – but this is just one example, says Jaime Fernández Fisac at Princeton University. He…
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