Using ChatGPT actually tricks your brain into believing you’re smarter than you really are.
April 17, 2026
Original Paper
The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
arXiv · 2604.14807
The Takeaway
We used to think AI just saved time, but it turns out it creates a 'cognitive attribution error' where we mistake the AI's high-quality work for our own brilliance. You start to think you possess the AI's logic and vocabulary as your own. This means when you step away from the screen, you're actually less capable than you think, leaving you prone to overconfidence in real-world decisions. It’s not just a tool; it’s a psychological mirage that inflates your ego while your skills stay the same. In the long run, this could lead to a generation of experts who are confident but incompetent.
From the abstract
The rapid integration of large language models (LLMs) into everyday workflows has transformed how individuals perform cognitive tasks such as writing, programming, analysis, and multilingual communication. While prior research has focused on model reliability, hallucination, and user trust calibration, less attention has been given to how LLM usage reshapes users' perceptions of their own capabilities. This paper introduces the LLM fallacy, a cognitive attribution error in which individuals misi