Close Menu
    Trending
    • How Expert-Vetted Reasoning Datasets Improve Reinforcement Learning Model Performance
    • What we’ve been getting wrong about AI’s truth crisis
    • Building Systems That Survive Real Life
    • The crucial first step for designing a successful enterprise AI system
    • Silicon Darwinism: Why Scarcity Is the Source of True Intelligence
    • How generative AI can help scientists synthesize complex materials | MIT News
    • Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization
    • How to Apply Agentic Coding to Solve Problems
    ProfitlyAI
    • Home
    • Latest News
    • AI Technology
    • Latest AI Innovations
    • AI Tools & Technologies
    • Artificial Intelligence
    ProfitlyAI
    Home » Does ChatGPT Make You Dumber? What a New MIT Study Really Tells Us
    Latest News

    Does ChatGPT Make You Dumber? What a New MIT Study Really Tells Us

    ProfitlyAIBy ProfitlyAIJune 24, 2025No Comments5 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    A provocative new study out of MIT has ignited headlines claiming that ChatGPT may be harming your mind. However as is usually the case with viral AI tales, the reality is much extra nuanced.

    On Episode 155 of The Artificial Intelligence Show, I broke down the examine with Advertising AI Institute founder and CEO Paul Roetzer to find out what’s price listening to.

    The Research at a Look

    Titled “Your Mind on ChatGPT,” the examine analyzed how totally different instruments affect cognitive engagement throughout essay writing. Members have been break up into three teams:

    • One wrote essays utilizing solely their reminiscence (“brain-only”)
    • One used a search engine
    • One used ChatGPT (GPT-4o)

    Utilizing EEG scans and linguistic evaluation, researchers discovered that contributors who relied on ChatGPT confirmed weaker neural connectivity and fewer engagement in reminiscence and decision-making areas of the mind. Their essays have been extra uniform and fewer unique. And so they had extra hassle remembering or quoting from their very own writing—even simply minutes after finishing it.

    However there’s a catch.

    Why the Panic Is Untimely

    The paper, as AI expert Ethan Mollick points out, is being badly misinterpreted in viral posts and sensational headlines. He writes on LinkedIn:

    “This new working paper out of the MIT Media Lab is being massively misinterpreted as “AI hurts your mind.”

    It’s a examine of faculty college students that finds that those that have been instructed to write down an essay with LLM assist have been, unsurprisingly, much less engaged with the essay they wrote, and thus have been much less engaged once they have been requested to do comparable work months later. It says one thing vital about dishonest with AI (when you let it do your work you will not be taught) nevertheless it does not inform us something about LLM use making us dumber total.

    This misinterpretation is not helped by the truth that this line from the summary could be very deceptive: “Over 4 months, LLM customers persistently under-performed at neural, linguistic, and behavioral ranges.” However the examine doesn’t check “LLM customers” over 4 months, it exams (9 or so!) individuals who had an LLM assist write an essay in an experiment writing an analogous essay 4 months later.

    To be clear this is not a protection of blindly utilizing AI in schooling, they’ve for use correctly to be efficient. We all know from this well-powered randomized managed research that simply having the AI offer you solutions lowers check scores.

    However that does not imply that LLMs rot your mind.”

    Roetzer agrees, declaring you could in a short time get a way of Mollick’s level when you truly learn additional concerning the examine, moderately than simply consuming headlines.

    “It is like saying we gave calculators to a management group who did not know tips on how to do math, and we discovered that individuals who relied on the calculator to do math did not truly be taught math,” he says.

    The actual takeaway? In case you use AI to bypass essential pondering, you’ll assume much less. That’s not a revelation—it’s simply frequent sense.

    From Analysis to the Actual World

    The examine appears methodologically stable and factors to an actual impact. But it surely truly strengthens the case for accountable AI use, says Roetzer. In schooling and enterprise, the true crucial is to show folks tips on how to use AI instruments to speed up—not substitute—studying and pondering.

    Meaning:

    • Beginning with human comprehension
    • Utilizing AI to check, refine, or develop concepts—to not generate total outputs blindly
    • Creating environments that reward cognitive engagement, not simply completed deliverables

    Roetzer additionally launched a useful framework to grasp the place there are cognitive gaps in AI outputs that human brains might have to pay attention to and/or verify:

    1. The Verification Hole: People have to fact-check AI outputs.
    2. The Pondering Hole: People have a restricted capability to critically consider AI-generated content material.
    3. The Confidence Hole: With out really participating with the underlying materials, discomfort arises while you current materials created by AI however don’t absolutely perceive it.

    Collectively, these gaps clarify a rising dynamic within the office:

    As we produce extra with AI, if we do not perceive and tackle these gaps, we threat retaining and understanding much less.

    In Roetzer’s personal expertise, this dynamic performs out even in day-to-day conferences.

    “I nonetheless kind out all the pieces in each assembly I am going to,” he says, moderately than depend on an AI notetaker. “If I simply have the notetaker, there’s much less cognitive load. However that cognitive load is definitely what embed it in my reminiscence.”

    The Backside Line: Essential Pondering Nonetheless Issues

    The MIT examine, when learn fastidiously, doesn’t say AI is inherently harmful to our brains. It says lazy use of AI is. And that’s an vital distinction.

    So what’s the good takeaway? Use ChatGPT. Use it typically. However by no means outsource your mind. As a result of the talent that issues most within the age of AI is similar one which mattered earlier than it: figuring out tips on how to assume.





    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleAmazon CEO’s New Memo Signals a Brutal Truth: More AI, Fewer Humans
    Next Article Build Multi-Agent Apps with OpenAI’s Agent SDK
    ProfitlyAI
    • Website

    Related Posts

    Latest News

    How Expert-Vetted Reasoning Datasets Improve Reinforcement Learning Model Performance

    February 3, 2026
    Latest News

    How Agencies Can Leverage AI to Serve Clients Better

    January 30, 2026
    Latest News

    Practical Automations That Actually Work (And How You Can Use Them)

    January 30, 2026
    Add A Comment
    Leave A Reply Cancel Reply

    Top Posts

    Randomization Works in Experiments, Even Without Balance

    January 29, 2026

    AI learns how vision and sound are connected, without human intervention | MIT News

    May 22, 2025

    How I Used Machine Learning to Predict 41% of Project Delays Before They Happened

    October 17, 2025

    What is it? Use Cases, Benefits, Drawbacks

    November 13, 2025

    Will you be the boss of your own AI workforce?

    April 25, 2025
    Categories
    • AI Technology
    • AI Tools & Technologies
    • Artificial Intelligence
    • Latest AI Innovations
    • Latest News
    Most Popular

    What Counts as AGI? The Test That Could Rewrite One of AI’s Richest Deals

    August 5, 2025

    OpenAI can rehabilitate AI models that develop a “bad boy persona”

    June 18, 2025

    Shaip Expands Availability of High-Quality Healthcare Data throughPartnership with Protege

    April 4, 2025
    Our Picks

    How Expert-Vetted Reasoning Datasets Improve Reinforcement Learning Model Performance

    February 3, 2026

    What we’ve been getting wrong about AI’s truth crisis

    February 2, 2026

    Building Systems That Survive Real Life

    February 2, 2026
    Categories
    • AI Technology
    • AI Tools & Technologies
    • Artificial Intelligence
    • Latest AI Innovations
    • Latest News
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2025 ProfitlyAI All Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.