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Brain imaging study finds AI chatbots do not process meaning like the human brain

TechnologyInternationalInfobae40 s readAI summary
Image: Infobae

A study published in eLife, signed by researchers from the University of Melbourne and Hitotsubashi University, compared eight transformer-based language models with 7-tesla functional MRI scans of 30 people reading 108 sentences. The models outperformed a system that ignores word order, but their fit to brain activity was low and lower than that of a model that explicitly represents structural relations between words. The difference concentrated on sentences with inverted semantic roles.

In 40 seconds

  • The study used 7-tesla functional MRI to record the brain activity of 30 people while they read 108 sentences.
  • The eight language models analyzed outperformed a model that ignores word order, but their overall performance in predicting brain activity was low.
  • The models rated sentences with inverted roles as more similar to each other than human participants did.
Read the full story at Infobae

IASummary generated by artificial intelligence from a story by Infobae. It may contain errors: the original source prevails.

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