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This is a finding that has been replicated in a series of studies across education and professional use:
But in a series of experiments involving more than 4,500 participants at the University of Pennsylvania's Wharton School, people who used LLMs to research everyday topics demonstrated weaker understanding of those topics afterward and produced less original insights than people who looked up the same topics using Google.
Of course Google itself and other search engines have become less useful in recent years for a whole range of reasons, most recently and notably the inundation of the internet with AI slop.
"It is like the Google Effect on steroids," she says, in a nod to earlier research suggesting people tend to remember less when information is easy to look up. With LLMs, she says, "We're shifting even further away from active learning."
It's like giving kids calculators to learn arithmetic. If you do that, you get the right answer, but you never learn arithmetic.
And then when you inevitably get the wrong answer because you hit a wrong button, you have no idea that it is wrong.
Oppenheimer says the findings suggest that simply believing information came from an LLM makes people learn less. "It is like they think the system is smarter than them, so they stop trying," he says. "That's a motivational issue, not just a cognitive one."
This is hardly a new problem, of course:
On two occasions I have been asked, "Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?" I am not able rightly to apprehend the kind of confusion of ideas that could provoke such a question.
Site owners reported that their revenues increased by an average of 9% with Oferwall, after years of declines as Google siphoned of an increasing proportion of views and revenue.