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. 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.”
Sloan lecturer Mikey Shulman, Colin Angle '89, SM '90, Tye Brady SM '99, Laira Major SM '05, Dharmesh Shah SM '06 have been named to the 2025 Boston Globe Tech Power Players list for their work in the applied AI sector, reports Hiawatha Bray for The Boston Globe.
Boston Globe reporter Emily Spatz spotlights how a number of key technologies – including the internet and the first widely used electronic navigation system – were developed by MIT researchers with the support of federal funding. The development of the internet has “MIT’s fingerprints all over it,” Prof. John Guttag emphasizes. Prof. David Mindell explains: “Federal funding for these ecosystems has been enormously important over a long time period.” Mindell adds that GPS alone probably “generated more economic value” over a 40-year period than the budgets of the government agencies that helped launch the navigational system.
Prof. Daniela Rus, director of CSAIL, and research affiliate Ramin Hasani have been named to The Boston Globe’s 2025 list of Tech Power Players working in the foundational AI sector, reports Aaron Pressman for The Boston Globe. Rus and Hasani are co-founders of Liquid AI, a startup that has developed “an AI technique with fewer software ‘neurons’ than large language models of OpenAI and others,” explains Pressman. This means “Liquid AI requires less computing power (and electricity.)”
MIT researchers have developed Boltz-2, an AI algorithm “that unites protein folding and prediction of small-molecule binding affinity in one package,” reports Laura Howes for Chemical & Engineering News. “The researchers say their new AI model approaches the level of accuracy achieved by traditional computational chemistry—such as methods involving free-energy perturbation calculations—but much more quickly and cheaply,” explains Howes.
A study by researchers at MIT examines how the use of large language models impacts the human brain, reports Elizabeth Hlavinka for Salon. Research scientist Nataliya Kos'myna says the results “suggest large language models could affect our memory, attention and creativity.”
Researchers at MIT and elsewhere have developed Boltz-2, an open-source generative AI model that can help researchers find new medicines faster, reports Alex Knapp for Forbes. The tool “can not only predict the structure of proteins, it can also predict its binding affinity–that is, how well a potential drug is able to interact with that protein,” explains Knapp. “This is crucial in the early stages of developing a new medicine.”
Postdoc Isabella Loaiza speaks with ABC News reporter Max Zahn about her study examining how jobs and tasks across the U.S. economy shifted between 2016-2024. Loaiza and her colleagues found that “rather than dispense with qualities like critical thinking and empathy, workplace technology heightened the need for workers who exhibit those attributes,” Zahn explains. “It is true we’re seeing AI having an impact on white-collar work instead of more blue-collar work,” says Loaiza. “We found that jobs that are very human-intensive are probably more robust.”