Rohan Paul@rohanpaul_ai

2026-05-27 00:48·37天前

AI 摘要

MIT、斯坦福等机构的一项研究（2,691名参与者）揭示了“效率增益幻觉”：在基本计算、拼写等简单任务上，用户实际使用AI的比例高于自我预测，且预期节省时间（平均55.7秒）远高于实际测量值（仅7.5秒）。研究指出，隐性成本源于提示、等待、检查等“界面摩擦”。更关键的是，使用AI会形成依赖循环——仅两次使用后，即便独立完成更快，参与者也更倾向继续依赖AI，这种倾向源于对便捷感的错误认知，可能导致用户逐渐丧失对自身何时是更快工具的准确判断力。

AI can make people feel more efficient even when they are not actually becoming much more efficient.

New paper from MIT， Stanford， New York Univ， Princeton.

That people often use AI for simple tasks because it feels like it saves time and effort， but the measured benefit is often tiny， missing， or even negative.

The biggest point is the feedback loop： once people use AI， they become more likely to use it again， even for easy tasks where doing it themselves would often be just as fast or faster.

i.e. AI dependence can grow from a mistaken feeling of convenience， not just from real productivity gains.

Across three preregistered studies with 2，691 participants， people used AI for basic arithmetic， spelling， recall， and short rewriting at higher rates than they predicted， especially on easy tasks.

They also expected AI to save 55.7 seconds on average， when the measured saving was only 7.5 seconds.

For simple work， the hidden cost is not intelligence but interface friction： writing the prompt， waiting， reading， checking， and deciding whether the answer is acceptable.

Once that loop begins， it can feel like effort has been outsourced， even when effort has only been rearranged.

Here's the key part： the study suggests that AI use can train its own justification.

After using AI on just two tasks， participants became more likely to use it again， even when independent completion was faster.

The danger is not dramatic dependence， but quiet recalibration.

A person who asks AI for a trivial answer today may not become less capable tomorrow， but they may become less accurate at judging when their own mind is already the faster tool.

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arxiv. org/abs/2605.22687

"The efficiency-gain illusion： People underestimate the rate of AI use and overestimate its benefits on simple tasks"

Rohan Paul@rohanpaul_ai · X

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