John

An MIT Media Lab study used EEG to track what happens in the brain when people write with ChatGPT rather than on their own. Fifty four students completed essay tasks while wearing electrode caps. One group used ChatGPT, one used a search engine, and one used no tools. Across sessions, the ChatGPT group showed the weakest neural connectivity in networks linked to memory, attention, and analytical work. They also had more trouble recalling what they had just written and produced more generic prose. The authors describe this as a kind of cognitive debt: the tool does the synthesizing, and the brain stays quieter [1]. The same experiment points to a better order of use. Students who first wrote unaided and only later switched to ChatGPT showed stronger recall and more widespread brain activity than students who started with the model and then had to work alone. In other words, the model helped more when it scaffolded thinking that was already underway than when it replaced that thinking from the start. The practical lesson is not that large language models should be banned. It is that they work best as a second pass, after the writer has already done the hard part of forming and remembering an argument [1]. [Kosmyna, N., Hauptmann, E., Yuan, Y. T., Situ, J., Liao, X. H., Beresnitzky, A. V., Braunstein, I., & Maes, P. (2025). Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task. arXiv. DOI: 10.48550/arXiv.2506.08872]