Summary: Researchers have found a surprising similarity between the way large language models (LLMs) like ChatGPT process information and how the brains of people with Wernicke’s aphasia function. In both cases, fluent but often incoherent output is produced, suggesting rigid internal processing patterns that can distort meaning.
By applying energy landscape analysis to brain scans and AI model data, scientists observed shared dynamics in signal flow, hinting at deeper structural parallels….
Article Source
https://neurosciencenews.com/ai-aphasia-llms-28956/
