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  1. Embed this notice
    Paul Cantrell (inthehands@hachyderm.io)'s status on Monday, 16-Jun-2025 10:35:46 JST Paul Cantrell Paul Cantrell
    • Gernot Wagner

    ❝Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning.❞

    Hell of a research abstract there, via @gwagner: https://fediscience.org/@gwagner/114690366530883451

    In conversation about 2 months ago from hachyderm.io permalink

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      Gernot Wagner (@gwagner@fediscience.org)
      from Gernot Wagner
      To write is to think. Using ChatGPT to write leads to..."cognitive debt", which might be one of the better euphemism for somewhat less polite words. Small n, not yet peer-reviewed, etc https://arxiv.org/abs/2506.08872 #ai
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Monday, 16-Jun-2025 11:22:04 JST Paul Cantrell Paul Cantrell
      in reply to

      “Using LLMs makes you stupid” is such an emotionally appealing conclusion that I’m going to consciously work — this post is my public commitment! — not to read •too• much into this one study. As the OP says: small N, not peer reviewed, etc.

      But I •will• immediately heed the authors’ “concerns about the long-term educational implications of LLM reliance.” However the research shakes out, it seems like good practice to double down on helping students keep their own brains awake and active regardless of the technology available to them.

      In conversation about 2 months ago permalink
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Monday, 16-Jun-2025 11:33:07 JST Paul Cantrell Paul Cantrell
      in reply to
      • Gernot Wagner
      • Das

      @SRDas @gwagner

      Whatever an EEG means to functional intelligence, that there was any measurable difference at all is certainly eyebrow-raising. Taking the conclusions as established fact is obviously unwise, but ignoring the possibility doesn’t seem wise either.

      In conversation about 2 months ago permalink
    • Embed this notice
      Das (srdas@mastodon.online)'s status on Monday, 16-Jun-2025 11:33:08 JST Das Das
      in reply to
      • Gernot Wagner

      @inthehands @gwagner indeed! Small n and I have no idea how (well) the EEG reports count - hopefully the appropriate peers will address.
      But I suppose this buildup of 'cognitive debt' would lead to cognitive delinquency...

      In conversation about 2 months ago permalink
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Monday, 16-Jun-2025 11:33:32 JST Paul Cantrell Paul Cantrell
      in reply to
      • Venya (he/him/dude) 🇺🇦

      @venya
      Exactly.

      In conversation about 2 months ago permalink
    • Embed this notice
      Venya (he/him/dude) 🇺🇦 (venya@musicians.today)'s status on Monday, 16-Jun-2025 11:33:33 JST Venya (he/him/dude) 🇺🇦 Venya (he/him/dude) 🇺🇦
      in reply to

      @inthehands

      I mistrust something which so perfectly reflects my own gut feelings.

      In conversation about 2 months ago permalink
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Tuesday, 17-Jun-2025 01:41:34 JST Paul Cantrell Paul Cantrell
      in reply to
      • Dr. Cat Hicks

      More from @grimalkina to the effect of “maybe don’t read too much into this paper’s conclusions:”

      https://mastodon.social/@grimalkina/114691010147820538

      In conversation about 2 months ago permalink
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Tuesday, 17-Jun-2025 02:03:22 JST Paul Cantrell Paul Cantrell
      in reply to
      • datarama

      I see @datarama has a similar reaction about a study that says something we want to hear.

      Re that second remark, “The *point* of AI is to make cognitive abilities irrelevant,” well, that’s the thing that’s up for debate right now. Making cognitive abilities (and thus labor, and people) irrelevant is very much the marketing pitch of the hype bubble. That pitch is about cost cutting, and fear and intimidation, an intoxicating mixture of fantasy and terror.

      It’s not the only vision of AI, however.

      https://hachyderm.io/@datarama/114693869134389025

      In conversation about 2 months ago permalink

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        http://terror.It/
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Tuesday, 17-Jun-2025 02:07:17 JST Paul Cantrell Paul Cantrell
      in reply to

      There has long been a quiet debate, currently drowned out but still very much happening, about human replacement vs human augmentation. Think of Gary Kasparov remarking years ago that he thought chess played by humans with computer assistance could be a far more interesting game than either human-only or computer-only chess.

      Here’s an argument for augmentation, and not how far it diverges from the current hype despite it being written from a very AI-friendly point of view:

      https://digitaleconomy.stanford.edu/news/the-turing-trap-the-promise-peril-of-human-like-artificial-intelligence/

      In conversation about 2 months ago permalink
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Tuesday, 17-Jun-2025 02:15:01 JST Paul Cantrell Paul Cantrell
      in reply to

      When I say that I wish the bubble would burst so we could start having actual conversation, this is the kind of thing I’m talking about.

      In the meantime, not being a researcher myself in any kind of position to critique the paper, I’m happy to just look at it and cherry-pick the conclusion that I think is unequivocally helpful regardless: we all (students in school, students of life) should cultivate active, engaged minds that work with ideas by •doing• and •creating• instead of simply passively receiving.

      In conversation about 2 months ago permalink

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    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Tuesday, 17-Jun-2025 04:59:48 JST Paul Cantrell Paul Cantrell
      in reply to
      • nataliyakosmyna

      @nataliyakosmyna Oh, hi! Yes, I did not mean to imply “LLMs make you stupid” was •your• language at all; I’ll edit to clarify. That’s just the confirmation bias bell it rings in my own brain, and thus the reason I’m treating the results with caution.

      Results aside — I truly am not equipped to judge them! — your research question seems a worthy and important one, and I’m glad you’re asking it.

      In conversation about 2 months ago permalink
    • Embed this notice
      nataliyakosmyna (nataliyakosmyna@mastodon.social)'s status on Tuesday, 17-Jun-2025 04:59:49 JST nataliyakosmyna nataliyakosmyna
      in reply to

      @inthehands we do call this on-going phenomena “cognitive debt”.

      In conversation about 2 months ago permalink
    • Embed this notice
      nataliyakosmyna (nataliyakosmyna@mastodon.social)'s status on Tuesday, 17-Jun-2025 04:59:50 JST nataliyakosmyna nataliyakosmyna
      in reply to

      @inthehands just as a note, we did not use the language “LLM makes you stupid” in the paper. It is written in an academic manner, though we did add TL;DR section as well as a summary table for an LLM, as the final document is 206 pages (with appendix). But we did show the reduced neural connectivity and a lot of other issues LLM group faced. If you are interested, our summary of the paper is here (authors of this paper): https://www.linkedin.com/posts/nataliekosmina_mit-ai-brain-activity-7340386826504876033-X45W?utm_source=share&utm_medium=member_ios&rcm=ACoAAANkfbABvU568kU63aYOiOdVABVfyyA2Trs

      In conversation about 2 months ago permalink

      Attachments

      1. Domain not in remote thumbnail source whitelist: dms.licdn.com
        𝐍𝐨, 𝐲𝐨𝐮𝐫 𝐛𝐫𝐚𝐢𝐧 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐩𝐞𝐫𝐟𝐨𝐫𝐦 𝐛𝐞𝐭𝐭𝐞𝐫 𝐚𝐟𝐭𝐞𝐫 𝐋𝐋𝐌 𝐨𝐫 𝐝𝐮𝐫𝐢𝐧𝐠 𝐋𝐋𝐌 𝐮𝐬𝐞. | Nataliya Kosmyna, Ph.D
        𝐍𝐨, 𝐲𝐨𝐮𝐫 𝐛𝐫𝐚𝐢𝐧 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐩𝐞𝐫𝐟𝐨𝐫𝐦 𝐛𝐞𝐭𝐭𝐞𝐫 𝐚𝐟𝐭𝐞𝐫 𝐋𝐋𝐌 𝐨𝐫 𝐝𝐮𝐫𝐢𝐧𝐠 𝐋𝐋𝐌 𝐮𝐬𝐞. See our paper for more results: "Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task" (link in the comments). For 4 months, 54 students were divided into three groups: ChatGPT, Google -ai, and Brain-only. Across 3 sessions, each wrote essays on SAT prompts. In an optional 4th session, participants switched: LLM users used no tools (LLM-to-Brain), and Brain-only group used ChatGPT (Brain-to-LLM). 👇 𝐈. 𝐍𝐋𝐏 𝐚𝐧𝐝 𝐄𝐬𝐬𝐚𝐲 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 - LLM Group: Essays were highly homogeneous within each topic, showing little variation. Participants often relied on the same expressions or ideas. - Brain-only Group: Diverse and varied approaches across participants and topics. - Search Engine Group: Essays were shaped by search engine-optimized content; their ontology overlapped with the LLM group but not with the Brain-only group. 𝐈𝐈. 𝐄𝐬𝐬𝐚𝐲 𝐒𝐜𝐨𝐫𝐢𝐧𝐠 (𝐓𝐞𝐚𝐜𝐡𝐞𝐫𝐬 𝐯𝐬. 𝐀𝐈 𝐉𝐮𝐝𝐠𝐞) - Teachers detected patterns typical of AI-generated content and scoring LLM essays lower for originality and structure. - AI Judge gave consistently higher scores to LLM essays, missing human-recognized stylistic traits. 𝐈𝐈𝐈: 𝐄𝐄𝐆 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 Connectivity: Brain-only group showed the highest neural connectivity, especially in alpha, theta, and delta bands. LLM users had the weakest connectivity, up to 55% lower in low-frequency networks. Search Engine group showed high visual cortex engagement, aligned with web-based information gathering. 𝑺𝒆𝒔𝒔𝒊𝒐𝒏 4 𝑹𝒆𝒔𝒖𝒍𝒕𝒔: - LLM-to-Brain (🤖🤖🤖🧠) participants underperformed cognitively with reduced alpha/beta activity and poor content recall. - Brain-to-LLM (🧠🧠🧠🤖) participants showed strong re-engagement, better memory recall, and efficient tool use. LLM-to-Brain participants had potential limitations in achieving robust neural synchronization essential for complex cognitive tasks. Results for Brain-to-LLM participants suggest that strategic timing of AI tool introduction following initial self-driven effort may enhance engagement and neural integration. 𝐈𝐕. 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐚𝐧𝐝 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 - Quoting Ability: LLM users failed to quote accurately, while Brain-only participants showed robust recall and quoting skills. - Ownership: Brain-only group claimed full ownership of their work; LLM users expressed either no ownership or partial ownership. - Critical Thinking: Brain-only participants cared more about 𝘸𝘩𝘢𝘵 and 𝘸𝘩𝘺 they wrote; LLM users focused on 𝘩𝘰𝘸. - Cognitive Debt: Repeated LLM use led to shallow content repetition and reduced critical engagement. This suggests a buildup of "cognitive debt", deferring mental effort at the cost of long-term cognitive depth. Support and share! ❤️ #MIT #AI #Brain #Neuroscience #CognitiveDebt | 23 comments on LinkedIn
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Tuesday, 17-Jun-2025 05:01:04 JST Paul Cantrell Paul Cantrell
      in reply to
      • nataliyakosmyna

      Hey, the paper’s first author, @nataliyakosmyna, in on Fedi! Let’s welcome her, and take a moment to note what she says about the study:

      https://mastodon.social/@nataliyakosmyna/114694740489004612

      In conversation about 2 months ago permalink
    • Embed this notice
      Paul Cantrell (inthehands@hachyderm.io)'s status on Tuesday, 17-Jun-2025 05:03:32 JST Paul Cantrell Paul Cantrell
      in reply to
      • nataliyakosmyna

      @nataliyakosmyna
      Oh, FYI: I’m not getting any audio from that video. Maybe a LinkedIn problem and not on your end, but worth a check.

      In conversation about 2 months ago permalink

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