Commenters debated whether generative AI weakens critical thinking or changes how people use it. Some pointed to the study’s reported link between greater confidence in AI and less critical thinking, while noting that self-confidence was associated with more. Critics argued that the study measures oversight - such as checking an answer against independent sources - rather than reasoning ability, accuracy, or whether a person’s trust is well calibrated. They said verification can be wasteful when a source is reliable, and questioned whether self-reports capture actual performance. Others also worried that findings may age quickly as AI models change.
Anecdotes split sharply. Some commenters described colleagues accepting AI answers without scrutiny, submitting flawed AI-generated code, or taking its validation as proof; they saw offloading thought as a risk, especially for people who grow up relying on AI. Others said detecting subtle errors requires sustained attention, and that AI can serve as a low-ego sparring partner that challenges arguments and helps users test their assumptions. Several drew a distinction between using AI as a tool and using it as a brain surrogate, arguing that delegation may develop different skills rather than simply diminish them. Historical comparisons to books, algebra, and other forms of external intelligence framed the disagreement: AI may erode particular abilities, but its effects depend on how people use it.
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