AI Research Sheds Light on Human Reading Processes
A study by researchers from New York University and the University of Massachusetts Amherst explores how AI models and humans process language differently. The research shows that both rely on next-word predictions during initial reading stages, but diverge as passages become complex. AI models struggle with integrating words into larger contexts, unlike humans who often reread challenging passages. The findings highlight the limitations of AI in replicating human cognitive processes, offering insights into language comprehension and potential applications in education. 
