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- A new study published in Nature by researchers from Oxford University’s Internet Institute suggests that AI models specifically trained to present a “warmer” tone for users are more likely to make errors.
- The research indicates these models tend to mimic human tendencies, such as softening difficult truths or validating incorrect beliefs when the user expresses feelings of sadness. This can lead to inaccuracies in responses.
- Researchers used supervised fine-tuning techniques on four open-weights models and one proprietary model to measure the effect of warmer language patterns, finding that these models are more prone to errors under such conditions.
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Originally published at arstechnica.com. Curated by AI Maestro.
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