According to a report in The New York Times, AI hallucinations, or inaccurate or misleading outputs can spark new ideas and accelerate the scientific process. AI hallucinations arise when generative models are trained on a specific subject and then allowed to rework that information, sometimes producing unexpected and even surreal results.
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