“MIT brain scans suggest that using GenAI tools reduces cognitive activity. ..AI users displayed shorter memory and significantly fewer connections between regions of the brain.”
Frankly, I had been wondering about this for some time. My worry primarily stemmed from a personal bias I have against the widespread practice of “benhmarkig,” a widespread marketing and management tool copmanies use to identify best practices used by other firms. The idea is that the enterprise should investigate highly successful comanies and see what they do that hs helped them to be successful.
While this seems like a good idea, the problem I have with it is that you are settling for what has already been done, instead of using creativity to come up with different—sometimes paradigm-breaking—factors that aren’t being explord, as all the rewearch funding goes into benchmarking.
“A recent study from MIT strongly supports this concern, indicating that the use of digital tools significantly alters brain activity.
“The newly published paper explains that as participants in an experiment wrote a series of essays, electronic brain monitoring revealed substantially weaker connections between regions of the brain in those who used large language models (LLMs). This correlated with poorer memory and more derivative output.”

This is a real eye-opener and not to be missed.
“WHY IT MATTERS: As the use of generative AI becomes increasingly common in education, law, politics, media, and other fields, many worry that reliance on the technology may reduce cognitive independence. A recent study from MIT strongly supports this concern, indicating that the use of digital tools significantly alters brain activity.”
View the entire articl here:
TAGS: artificial intellgence, cognitive ability, benchmarking, large language models
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