Studienergebnisse zeigen, dass KI die Ergebnisse neurowissenschaftlicher Studien besser vorhersagen kann als menschliche Experten

„The findings, published in *Nature Human Behaviour*, demonstrate that large language models (LLMs) trained on vast datasets of text can distill patterns from scientific literature, enabling them to forecast scientific outcomes with superhuman accuracy.“

„The researchers tested 15 different general-purpose LLMs and 171 human neuroscience experts (who had all passed a screening test to confirm their expertise) to see whether the AI or the person could correctly determine which of the two paired abstracts was the real one with the actual study results.

All of the LLMs outperformed the neuroscientists, with the LLMs averaging 81% accuracy and the humans averaging 63% accuracy. Even when the study team restricted the human responses to only those with the highest degree of expertise for a given domain of neuroscience (based on self-reported expertise), the accuracy of the neuroscientists still fell short of the LLMs, at 66%.“

Can AI explain those studies to halfwits who write about them in the „press“?