As large language models take over more and more cognitive tasks, researchers are warning this mental outsourcing comes with a cost.
When research scientist Nataliya Kosmyna was looking for interns, she noticed that cover letters she received were suspiciously similar. They were long, polished and after introductions would often jump to an abstract and arbitrary connection to her work.
It was obvious to her that applicants were using large language models (LLMs) – a form of artificial intelligence that powers chatbots such as ChatGPT, Google Gemini and Claude – to write the letters.
At the same time, during lessons on campus at Massachusetts Institute of Technology (MIT), Kosmyna, who studies the interaction between humans and computers, noticed that numerous students were forgetting content more easily compared to a few years ago.
With the increasing reliance on LLMs, she had a hunch that this could be affecting her students’ cognition and sought to understand more.
The concern that researchers like Kosmyna have is that if we become too reliant on AI, it could affect the language we use and even our ability to do basic cognitive tasks. There is now a growing body of research suggesting that this “cognitive offloading” to AI can have a corrosive effect on our mental abilities. The consequences could be alarming and may even contribute to cognitive decline.
The ChatGPT group showed notably less brain activity – it was reduced by up to 55%
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