logo
ChatGPT making people dumb, brains of youngsters "at highest risk": Study

ChatGPT making people dumb, brains of youngsters "at highest risk": Study

NDTV3 days ago

The researchers at the Massachusetts Institute of Technology (MIT) found alarming trends when they analysed the impact of ChatGPT on the human brain. The artificial intelligence chatbot is making humans 60% faster at completing tasks, but it is also reducing the "germane cognitive load" by 32%. Germane load refers to the effort needed to use memory and intelligence to process information into schemas.
The researchers used EEG brain scans on 54 participants, aged between 18 to 39 years, for a period of four months. The paper tracked alpha waves, beta waves and neural connectivity patterns. The subjects were divided into three groups to compare the findings.
Researchers revealed that ChatGPT users had the lowest brain engagement and "consistently underperformed at neural, linguistic, and behavioral levels."
The paper is not yet peer-reviewed and the sample size is also relatively small, but the main author, Nataliya Kosmyn, said that she released the findings to understand to highlight the concerns with the usage of large language model (LLM), which is a type of AI programme that can recognise and generate text.
"What really motivated me to put it out now before waiting for a full peer review is that I am afraid in 6-8 months, there will be some policymaker who decides, 'let's do GPT kindergarten.' I think that would be absolutely bad and detrimental," Time quoted Kosmyna as saying. "Developing brains are at the highest risk."
The study revealed that more than 80% of ChatGPT users couldn't quote from essays they wrote minutes earlier. Essays written by using ChatGPT were extremely similar. When teachers were asked to check them, they said they could feel "something was wrong". The essays were "Soulless", "Empty with regard to content", "Close to perfect language while failing to give personal insights."
Higher neural connectivity was seen in people with strong cognitive baselines, as compared to regular AI users.
The study was shared on X by Alex Vacca, co-founder of ColdIQ.com, who reacted, saying, "You're trading long-term brain capacity for short-term speed."
83.3% of ChatGPT users couldn't quote from essays they wrote minutes earlier.
Let that sink in.
You write something, hit save, and your brain has already forgotten it because ChatGPT did the thinking. pic.twitter.com/14bKDCDLF5
— Alex Vacca (@itsalexvacca) June 18, 2025
"Every shortcut you take with AI creates interest payments in lost thinking ability," Vacca added.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

AI sludge has entered the job search
AI sludge has entered the job search

Time of India

time2 hours ago

  • Time of India

AI sludge has entered the job search

Live Events Katie Tanner, a human resource consultant in Utah, knew the job would be popular: It was fully remote, was at a tech company and required only three years of she was still shocked by the response on LinkedIn. After 12 hours, 400 applications had been submitted. By 24 hours, there were 600. A few days later, there were more than 1,200, at which point she removed the post. Three months later, she's still whittling down candidates."It's crazy," she said. "You just get inundated."The number of applications submitted on LinkedIn has surged more than 45% in the past year. The platform is clocking an average of 11,000 applications per minute, and generative artificial intelligence tools are contributing to the a simple prompt, ChatGPT, the chatbot developed by OpenAI, will insert every keyword from a job description into a resume. Some candidates are going a step further, paying for AI agents that can autonomously find jobs and apply on their behalf. Recruiters say it's getting harder to tell who is genuinely qualified or interested, and many of the resumes look suspiciously similar."It's an 'applicant tsunami' that's just going to get bigger," said Hung Lee, a former recruiter who writes a widely read newsletter about the popular method for navigating the surge? Automatic chat or video interviews, sometimes conducted by AI. Chipotle CEO Scott Boatwright, said at a conference this month that its AI chatbot screening and scheduling tool (named Ava Cado) had reduced hiring time by 75%.HireVue, a popular AI video interview platform, offers recruiters an option to have AI assess responses and rank candidates can also use AI to cheat in these interviews, and some companies have added more automated skill assessments early in the hiring process. For example, HireVue offers AI-powered games to gauge abilities like pattern recognition and working memory, and a virtual "tryout" that tests emotional intelligence or skills like counting change. Sometimes, Lee said, "we end up with an AI versus AI type of situation."In January, the Justice Department announced indictments in a scheme to place North Korean nationals in IT roles working remotely at US companies. Emi Chiba, a human resource technology analyst at Gartner, told DealBook that reports of candidates who used fake identities had been "growing and growing and growing."A report that Chiba published with other Gartner analysts in April estimated that by 2028, about 1 in 4 job applicants could be made up. Among its recommendations was that companies deploy more sophisticated identity-verification address the problem, LinkedIn recently added tools to help both candidates and recruiters narrow their focus, including an AI agent, introduced in October, that can write follow-up messages, conduct screening chats with candidates, suggest top applicants and search for potential hires using natural language.A feature that shows potential applicants how well their qualifications match up with a job description, which LinkedIn introduced to premium subscribers in January, reduced the rate at which they apply to "low match" jobs by 10%, according to the that using AI in hiring can introduce bias have led to lawsuits and a patchwork of state legislation. The European Union's AI Act classifies hiring under its high-risk category, with the most stringent restrictions, and while no U.S. federal law specifically addresses AI use in hiring, general antidiscrimination laws can potentially come into play if the result of any process is discrimination."You're not allowed to discriminate, and of course most employers are trying not to discriminate, but easier said than done," said Marcia Goodman, a partner at Mayer Brown who primarily represents problem is less that candidates are using AI -- a skill many employers say they want -- than it is that they're being sloppy. Alexa Marciano, the managing director of Syndicatebleu, a recruiting agency, said job seekers were reacting to recruiters' use of automated screening. "It's really frustrating for the candidates because they spend all this time creating very catered cover letters, very catered resumes," she Schifeling, a career coach who regularly conducts technology-focused job-search training at universities, said he could see this back-and-forth going on for a while. "As students get more desperate, they say, 'Well, I have no choice but to up the ante with these paid tools to automate everything.' And I'm sure the recruiters are going to raise the bar again."He argues the endgame will be authenticity from both sides. But, he said, "I do think that a lot of people are going to waste a lot of time, a lot of processing power, a lot of money until we reach that realisation."

AI and its future: beyond the data-driven era
AI and its future: beyond the data-driven era

Hans India

time2 hours ago

  • Hans India

AI and its future: beyond the data-driven era

Artificial intelligence is the science of making machines do things that would require intelligence if done by humans — John McCarthy, who coined the term 'artificial intelligence' and is considered father of AI, said in 1955 Artificial Intelligence is the buzzword that's resonating across boardrooms, classrooms, and coffee shops these days. It is everywhere. From chatbots handling customer service to algorithms curating social media feeds, AI has become the in-thing of our time. Yet despite the widespread adoption and breathless headlines, we're still in the earliest stages of what AI can become. The current reality: data-driven intelligence Today's AI systems, impressive as they may seem, operate on a fundamental principle: processing vast amounts of data to recognize patterns and generate responses. These Large Language Models (LLMs) can write poetry, code software, and answer complex questions, but they're essentially sophisticated pattern-matching engines drawing from enormous datasets. Frankly speaking, what we're experiencing now is just the tip of the iceberg and we're still in the fetal stage of artificial intelligence evolution. However, the current data-driven approach has undeniably been disruptive. Industries from healthcare to finance have scrambled to integrate AI tools, leading to the ubiquitous presence of 'AI-powered' solutions. However, calling these systems true artificial intelligence may be premature - they lack the fundamental cognitive abilities that define genuine intelligence. The next frontier: Artificial General Intelligence The next phase in AI evolution promises something far more sophisticated: Artificial General Intelligence (AGI). Unlike current systems that excel in narrow domains, AGI will possess the ability to understand, learn, and apply intelligence across a broad range of tasks - much like human cognitive flexibility. The key differentiator lies in cognition. Where today's AI relies on statistical analysis of training data, AGI systems will develop the capacity for genuine reasoning and decision-making. This cognitive leap represents a fundamental shift from pattern recognition to actual thinking. AGI won't just process information faster or access more data - it will understand context, make inferences, and adapt to entirely new situations without requiring additional training. This represents a qualitative, not just quantitative, advancement in machine intelligence. The ultimate goal: Absolute Intelligence Beyond AGI lies an even more ambitious target: Absolute Intelligence. This final phase envisions AI systems with fully developed cognitive abilities - machines that can think, reason, and make decisions with the same depth and nuance as human consciousness, potentially surpassing human intellectual capabilities. Absolute Intelligence would mark the point where artificial systems achieve genuine understanding rather than sophisticated mimicry. These systems would possess creativity, intuition, and the ability to grapple with abstract concepts in ways that current AI cannot. Small Language Models: The Future Architecture Contrary to the current trend towards ever-larger models, the future may belong to Small Language Models (SLMs). These more efficient, specialized systems could prove more practical and powerful than their data-hungry predecessors. Small Language Models offer several advantages over massive LLMs: reduced computational requirements, faster processing, greater customization for specific tasks, and the ability to run locally rather than requiring cloud infrastructure. As AI becomes more integrated into daily life, these characteristics will prove increasingly valuable. The shift toward SLMs reflects a maturation of the field - moving from brute-force approaches that require enormous resources toward elegant, efficient solutions that deliver superior performance with less overhead. The Way Forward Rather than dwelling on dystopian scenarios, the AI revolution presents an opportunity to thoughtfully shape the next decade of technological development. The progression from today's data-driven systems through AGI to Absolute Intelligence won't happen overnight. However, the key lies in recognizing that we're not approaching an endpoint but rather embarking on a carefully planned journey. Each phase of AI development builds upon the previous one, creating opportunities to refine our approach, establish ethical frameworks, and ensure that artificial intelligence helps humans. As we stand at this inflection point, the question isn't whether AI will transform our world - it's how we'll guide that transformation. The next ten years will determine whether we harness these emerging capabilities to solve pressing global challenges, enhance human potential, and create a more prosperous future for all. The age of true artificial intelligence is still ahead of us. What we're witnessing today is merely the opening chapter of a much larger story - one that we have the power to write thoughtfully and purposefully. All said and done, the world needs a responsible AI that can enhance our quality of life in all spheres and spaces. That's the bottom line. (Krishna Kumar is a technology explorer & strategist based in Austin, Texas in the US. Rakshitha Reddy is AI developer based in Atlanta, US)

They are here: The rise and rise of AI robots
They are here: The rise and rise of AI robots

New Indian Express

time4 hours ago

  • New Indian Express

They are here: The rise and rise of AI robots

You can spot them blinking away, triggering awe and curiosity. They enable check-ins at some airline counters at airports, roll across hotel reception areas offering welcome drinks, serve orders at restaurants. They are manning duties in warehouses, factories and logistics hubs. They are deployed at bars, aid doctors in surgery and first responders to triage. They are not yet ubiquitous, but there is no doubt that robots are here. The buzz is visible in headlines streaming live. Masayoshi Son is making a $1.3-trillion bet under Project Crystal Land alongside TSMC for building robots and AI hubs. Tesla is all set, finally, to unveil its Robotaxi in Austin, Texas. Nvidia and Foxconn are in talks to deploy humanoid robots at the Houston AI server plant. Amazon deploys AI-enabled robot Vulcan at its warehouses and plans to deploy delivery robots as part of a plan to automate $200 billion in logistics costs. A Chinese outfit has unveiled the first robotic hand combining tactile perception with complete motion capabilities. Hexagon launched Aeon, a humanoid designed for industry for autonomy, automated measurement systems and perception—and what's more, it can produce digital twins. Indian entities, too, are chasing productivity to expand the use of robotics for an array of businesses. Reliance-backed Addverb is launching humanoid robots to eliminate '3D jobs', ones that are dull, dirty and dangerous. Bengaluru-based Invento is developing Mitra robots for retail, hospitality and senior care. Kochi-based Asimov Robotics develops robots for high-risk settings. Hyderabad-based Svaya Robotics specialises in industrial robots for collaborative tasks in manufacturing and logistics. Bengaluru start-up Genobotics is the developer of Bandicoot robot which automates sewer cleaning. Kody from Ahmedabad is developing robots for surveillance, office services and industry. The term robot owes its etymology to the Czech word robota, which means forced labour, and was introduced in Czech author Karel Capek's 1921 science fiction play Rossum's Universal Robots. Robots made their cinematic debut in 1927 in Metropolis, a movie about a polarised society in a divided futuristic city. Popular passions, though, surfaced with the 2007 blockbuster Transformers about alien robots produced by toymakers Hasbro and Takara Tomy and Schwarzenegger starrer Terminator. A century after Capek's coinage, a combination of factors has spurred the creeping robot evolution to a tipping point. The blend of knowledge and technology has propelled investments.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store