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Ten minutes with an AI helper made people give up faster once it was gone

A UC Berkeley-led study found people who briefly used ChatGPT gave up sooner on hard problems once it was removed. Here is what it showed and what it did not.

1,222participants across the randomized experiments

The short version

Why it matters

Many of us now reach for a chatbot first, yet exams, interviews and live meetings usually take it away. The study suggests that skipping the struggle can cost persistence when you face hard problems alone. It does not show that AI makes people less intelligent, only that unused practice does not build skill.

What the researchers did

As technews.tw reported, a team led by Brian Christian of UC Berkeley's Center for Human-Compatible AI tested how quickly people lean on an AI helper. Researchers from Carnegie Mellon, MIT, Oxford and UCLA also took part. The results were presented at the Conference on Language Modeling.

The team recruited 1,222 people for randomized controlled experiments. That means participants were assigned by chance to different conditions, which makes the comparison fairer.

Help, then sudden removal

In the first two experiments, with 354 and 667 people, participants solved basic fraction problems. One group worked alone. The other could keep ChatGPT open beside them.

The helped group began with high accuracy. Around question 12, the researchers switched the AI off. Their accuracy fell sharply and many stopped answering, while the group that never had AI kept going and succeeded more often.

A third experiment gave 201 people an SAT reading test, to check that this was not just maths anxiety. The pattern repeated: persistence and accuracy both fell once the AI disappeared.

Why the authors think it happens

The researchers argue that people adjust fast to a machine that answers instantly. After that, slow thinking starts to feel inefficient. Using AI also removes what they call productive struggle: the slow, frustrating work that helps the brain grow.

Christian worries about the long-term effect on expertise, including habits good scientists need, such as staying close to the data and working through problems as a team.

Tutor, not oracle

The team's proposed fix is about design. They want AI to act like a tutor that helps learners understand a problem, rather than an oracle that hands over the answer. Christian said the aim should be to augment human ability instead of supplanting it.

We have only a news summary, not the paper. How long the effect lasts and how well it carries beyond these tasks remain unclear from what was reported.

What to watch

Try it

Pick one recurring task this week, such as a reply or a calculation, and do a first pass without a chatbot. Then use the chatbot to check your work.

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First reported by technews.tw · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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