MIT researchers have found that ChatGPT use can lead to a decline in cognitive engagement, reports Robert B. Tucker for Forbes. “Brain regions associated with attention, memory, and higher-ordered reasoning were noticeably less active” in study participants, Tucker explains.
Researchers at MIT have found that the use of ChatGPT can “reduce activity in brain regions associated with memory and learning,” reports Eve Upton-Clark for Fast Company. “ChatGPT users felt less ownership over their essays compared to the other groups,” writes Upton-Clark. “They also struggled to recall or quote from their own essays shortly after submitting them—showing how reliance on the LLM bypassed deep memory processes.”
Researchers at MIT have found that “people who used ChatGPT to write a series of essays suffered a ‘cognitive cost’ compared to others who used only their brains or a traditional search engine,” reports Ross Cristantiello for Boston.com. “The researchers found that as users relied on ‘external support’ more and more, their brain connectivity gradually scaled down,” explains Cristantiello. “Subjects who began the tests using ChatGPT before being told to use only their brains showed ‘weaker neural connectivity’ and ‘under-engagement’ of certain networks in their brains.”
A study by MIT researchers finds that individuals who relied solely on ChatGPT to write essays had "lower levels of brain activity and presented less original writing,” reports Greta Cross for USA Today. "While these tools offer unprecedented opportunities for enhancing learning and information access, their potential impact on cognitive development, critical thinking and intellectual independence demands a very careful consideration and continued research," the researchers explain.
Noman Bashir, a fellow with the MIT Climate and Sustainability Consortium and a postdoc at CSAIL, speaks with Wired reporter Molly Taft about AI and energy consumption. Bashir explains that how quickly a model answers a question has a big impact on its energy use. “The goal is to provide all of this inference the quickest way possible so that you don’t leave their platform,” Bashir says. “If ChatGPT suddenly starts giving you a response after five minutes, you will go to some other tool that is giving you an immediate response.”
Prof. Daniela Rus, director of CSAIL, speaks with Newsweek reporter Marni Rose McFall about the impact of AI on entry level jobs. “We need a strong pipeline of talent that starts with entry-level roles, internships, and hands-on learning opportunities," says Rus. "These early experiences remain essential stepping stones, helping people build technical confidence, domain fluency, and problem-solving skills. And soon, the skills companies will be looking for in entry-level workers is how well they can make the most of AI tools."
Vijay Gadepally, a senior scientist at MIT Lincoln Lab, discusses users can help conserve energy while using AI tools, reports Nicolás Rivero for The Washington Post. Gadepally notes that users can save energy by asking the AI to be concise when you don’t need long answers, as models use more energy for each word they process. “People often mistake these things as having some sort of sentience,” says Gadepally. “You don’t need to say ‘please’ and ‘thank you.’ It’s okay. They don’t mind.”
Researchers at MIT have found that ChatGPT use can “harm an individual’s critical thinking over time,” reports Rachel Scully for The Hill. “They discovered that subjects who used ChatGPT over a few months had the lowest brain engagement and ‘consistently underperformed at neural, linguistic, and behavioral levels,’” explains Scully.
Prof. Daron Acemoglu speaks with Salon reporter Russell Payne to explain how “the calculations made by the current generation of AI are fundamentally different from how humans think.” Acemoglu explains: “The more talk of artificial super intelligence we have, the more of a boost these companies get, especially in terms of being able to raise funding, in terms of being in the spotlight and high status, high ability to convince others.”
Prof. David Autor speaks with Wired reporter Will Knight about the anticipated impact of AI on employment. “If demand for software were like demand for colonoscopies, no improvement in speed or reduction in costs would create a mad rush for the proctologist's office,” says Autor. “But if demand for software is like demand for taxi services, then we may see an Uber effect on coding: more people writing more code at lower prices, and lower wages.”
Prof. Simon Johnson speaks with Wired reporter Paresh Dave about the financial and social cost of AI implantation in the workforce, making the case that governments should lower payroll taxes for entry-level roles to encourage hiring and help humans build careers. “The right lever to pull is one that reduces costs to employers,” says Johnson.
A study by researchers at MIT explores “worker attitudes surrounding automation,” reports Sage Lazzaro for Fortune. “A lot of factories and other industrial environments have had data around for a long time and haven’t necessarily known what to do with it,” explains Research Scientist Ben Armstrong. “Now there are new algorithms and new software that’s allowing these companies to be a lot more intelligent with using that data to make work better.”
Guardian reporter Ian Sample highlights how graduate student Alex Kachkine has developed a new approach to restoring age-damaged artwork in hours. “The technique draws on artificial intelligence and other computer tools to create a digital reconstruction of the damaged painting,” explains Sample. “This is then printed on to a transparent polymer sheet that is carefully laid over the work.”
Graduate student Alex Kachkine speaks with Nature reporter Amanda Heidt about his work developing a new restoration method for restoring damaged artwork. The method uses “digital tools to create a ‘mask’ of pigments that can be printed and varnished onto damaged paintings,” explains Heidt. The method “reduces both the cost and time associated with art restoration and could one day give new life to many of the paintings held in institutional collections — perhaps as many as 70% — that remain hidden from public view owing to damage.”
Nature spotlights graduate student Alex Kachkine – an engineer, art collector and art conservator – on his quest to develop a new AI-powered, art restoration method, reports Geoff Marsh for Nature. “My hope is that conservators around the planet will be able to use these techniques to restore paintings that have never been seen by the general public,” says Kachkine. “Many institutions have paintings that arrived at them a century ago, have never been shown because they are so damaged and there are no resources to restore them. And hopefully this technique means we will be able to see more of those publicly.”