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The article points out that artificial intelligence systems failed to predict the winner of the 2026 Nobel Prize. They often expected research related to GLP-1 for diabetes and obesity to win, but the Nobel Committee awarded the prize to scientists in the field of genetic optics—Karl Deisseroth, Peter Hegemann, and George Nagle—for their inventions that enable control of neuronal activity using light. Tests showed that predictions rely on general indicators such as citations and awards, but are inaccurate in forecasting final decisions. They missed several names on the list and overlooked Nobel rules that prohibit granting the prize posthumously. The findings highlight the difference between AI's data analysis capabilities and its ability to predict undisclosed human decisions.
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