7 ms·
The problem with this site is that the studies it cites don't match the conclusions it draws. "Accumulate cognitive debt": The paper is a preprint, isn't peer
by kstenerud 17d ago
The problem with this site is that the studies it cites don't match the conclusions it draws.
"Accumulate cognitive debt": The paper is a preprint, isn't peer reviewed, and has already had a rather blistering critique (https://arxiv.org/abs/2601.00856 https://arxiv.org/abs/2601.00856) that raises concerns about sample size, reproducibility of the analyses, EEG methodology, inconsistent reporting, and transparency. Also the fact that they infer EEG connectivity = learning without evidence.
"Less engaged with your work": Doesn't measure engagement with work. It measured motivation, boredom, and sense of control on small tasks like writing a post or an email. The effects are small, and some of them cut against the site's thesis.
"Negatively impact your critical thinking abilities": It's a survey of knowledge workers about past tasks. It doesn't measure critical thinking ability at all. Even the paper's title says "Self-Reported Reductions in Cognitive Effort and Confidence Effects". It doesn't establish causation, and the direction is ambiguous.
"Hamper your skill formation": The one paper that has something, showing that using AI without learning about the things it's doing reduces knowledge acquisition (note it does not test retention). HOWEVER, the best AI users matched or beat the no-AI group!
- arw0n 17d agoI was personally flabbergasted by this one: > When we offload decision-making, we become unaware of the trade-offs. My biggest issue with the new agentic workflow is that I'm constantly asked to make decisions, and it is not always immediately obvious how important they are. Like, yes, I see the people who just write 'implement feature x' and then call it a day. These people were lazy und uncreative to begin with, and will continue to cognitively decline with AI. But if you use it seriously, you're in a constant state of doing requirements engineering, weighing trade-offs, and making architecture decisions.