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highplainsdem

(63,697 posts)
Thu Jun 18, 2026, 03:56 PM Thursday

Is AI ruining our skills? Early results are in -- and they're not good (Nature, June 18, 2026)

https://www.nature.com/articles/d41586-026-01947-1

-snip-

A study2 of physicians in Poland who specialize in endoscopy — the use of flexible probes to examine the inside of the human body — shows how quickly AI tools can erode human abilities. The physicians, who had all performed at least 2,000 colonoscopies during their careers, were given access to an AI system that analyses colonoscopy images in real time and flags a type of precancerous intestinal lesion called an adenoma. The tool was available to the specialists on some days but not on others.

Once physicians began using it, their performance dropped significantly whenever the system was unavailable. During the three-month period before the AI tool was introduced, the specialists found at least one adenoma during 28.4% of colonoscopies. During the three-month period after the tool was introduced, the adenoma detection rate for colonoscopies performed without AI assistance decreased to 22.4%.

-snip-

To investigate whether skills are being lost in the field of computer science, researchers at the AI firm Anthropic in San Francisco, California, designed a randomized controlled trial in which 52 software engineers were asked to perform a basic coding task3. During the exercise, all 52 participants could search the web and access instructions on how to do the task. Half of the participants were prompted to use an AI assistant as well.

Afterwards, all of the software engineers were asked to complete a quiz about what they had learnt from the task. The participants who had used an AI assistant did significantly worse on the quiz than those who hadn’t: the average score was 50% in the AI group versus 67% in the non-AI group. The AI-assisted participants did particularly poorly on questions that required them to diagnose errors in the code, which suggests that they had failed to learn the concepts behind the code that they had just produced. The study was posted on the preprint server arXiv ahead of peer review.

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Is AI ruining our skills? Early results are in -- and they're not good (Nature, June 18, 2026) (Original Post) highplainsdem Thursday OP
Glad I am nearly 63 exboyfil Thursday #1
Shouldn't come as much of a surprise. Skills decay/fade when not used. pat_k Thursday #2

exboyfil

(18,378 posts)
1. Glad I am nearly 63
Thu Jun 18, 2026, 03:58 PM
Thursday

I am hoping my job is just unique enough that I can get my last five years in. So far I haven't been terribly impressed with AI, but I may not be using it right.

My SIL swears by it (he is a software engineer).

pat_k

(14,502 posts)
2. Shouldn't come as much of a surprise. Skills decay/fade when not used.
Thu Jun 18, 2026, 04:11 PM
Thursday
https://www.econlib.org/archives/2016/01/forgetting_the.html

Skill decay refers to the loss or decay of trained or acquired skills (or knowledge) after periods of nonuse. Skill decay is particularly salient and problematic in situations where individuals receive initial training on knowledge and skills that they may not be required to use or exercise for extended periods of time.

So what’s known about skill decay? Common sense checks out.

1. Time matters. “There is an increase in the amount of skill decay as the length of the nonpractice interval increases.”

2. Physical skills decay slower than cognitive skills. “Physical tasks display less skill decay than cognitive tasks, and the difference in decay is close to half a standardized unit… across all retention intervals.”

3. Speed tasks decay more slowly than accuracy tasks. “Across all retention intervals, the amount of skill decay for accuracy tasks was over three times higher than that of speed tasks (i.e., effect size = -1.00 and -0.32, respectively) . ” Learning to do something rapidly stays with you longer than learning to do something correctly.

4. Ability to transfer knowledge decays faster than mere retention. “skill decay is negatively associated with the level of similarity between the original learning and retention contexts.”
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