In the Media

Prof. Daron Acemoglu speaks with Bloomberg reporter Jeran Wittenstein about the current state of AI and the technology’s economic potential. “You need highly reliable information or the ability of these models to faithfully implement certain steps that previously workers were doing,” says Acemoglu of the state of current large language models. “They can do that in a few places with some human supervisory oversight” — like coding — “but in most places they cannot. That’s a reality check for where we are right now." 

Prof. David Autor speaks with Washington Post reporter Cat Zakrzewski about the anticipated impact of AI in various industries. “We are just learning how to use AI and what it's good for, and it will take a while to figure out how to use it really productively,” says Autor. 

A new working paper by MIT Prof. Antoinette Schoar and Brandeis Prof. Yang Sun explores how different people react to financial advice, reports Robin Wigglesworth for Financial Times. “The results indicate that most people do update their beliefs in the direction of the advice they receive, irrespective of their previous views,” writes Wigglesworth. 

Hashim Sarkis, dean of the MIT School of Architecture and Planning, has been selected as a juror for the Pritzker Architecture Prize, an award that is “essential in heightening society’s awareness of the impact of architecture on the human experience,” reports United States Architecture News. "At our doorsteps are new problems, be they related to climate, equity or new ways of life," says Sarkis. "But architects are rising to the occasion, expanding the field with inspiring new work.” 

A new study by MIT scientists proposes that researchers should be able to detect near-flying primordial black holes by measuring the orbit of Mars, reports Darren Orf for Popular Mechanics. The researchers found that “if a primordial black hole passed within a few hundred million miles of the Red Planet, then a few years later, the planet’s orbit would have shifted by the small (but technically detectable) distance of about a meter,” Orf explains.

Researchers at MIT have developed “Future You,” a generative AI chatbot that enables users to speak with potential older versions of themselves, reports Sharon Goldman for Fortune. The tool “uses a large language model and information provided by the user to help young people ‘improve their sense of future self-continuity, a psychological concept that describes how connected a person feels with their future self,’” writes Goldman. “The researchers explained that the tool cautions users that its results are only one potential version of their future self, and they can still change their lives,” writes Goldman. 

David Zipper, a senior fellow at the MIT Mobility Initiative, speaks with ABC News reporter Michael Dobuski about the rising popularity of small “micromobility” vehicles. “In the last fifteen years or so, you’ve seen a lot of cities in the US, and frankly in other parts of the world too, invest a lot of money and resources in creating safe spaces for people who want to use a scooter, or a bicycle, or any of these other versions of micromobility that we’re talking about,” explains Zipper. 

Researchers at MIT have developed a new method that “enables robots to intuitively identify relevant areas of a scene based on specific tasks,” reports Baba Tamim for Interesting Engineering. “The tech adopts a distinctive strategy to make robots effective and efficient at sorting a cluttered environment, such as finding a specific brand of mustard on a messy kitchen counter,” explains Tamim. 

MIT researchers have found that more workers without college degrees are optimistic about AI and automation initiatives in the workplace, than those workers with a college diploma, reports Rebecca Klar for Bloomberg Law. The study found “27.4% of workers without a college degree estimated that automation will be beneficial for their job security, compared to 23.7% of workers with a college degree,” explains Klar. 

Researchers at MIT have found that “60% of workers who work with robotics and AI think they’ll see positive career impacts as a result in terms of productivity, satisfaction, and job safety,” reports Sam Becker for Fast Company.

Writing for Scientific American, MIT Prof. David Rand and University of Pennsylvania postdoctoral fellow Jennifer Allen highlight new challenges in the fight against misinformation. “Combating misbelief is much more complicated—and politically and ethically fraught—than reducing the spread of explicitly false content,” they write. “But this challenge must be bested if we want to solve the ‘misinformation’ problem.”

Prof. Jacopo Buongiorno speaks with Nature reporter Michael Greshko about the reopening of Three Mile Island, a former Pennsylvania nuclear power plant that will now be used to generate power for artificial intelligence. “It’s further confirmation of the value of nuclear, and, if the deal is right — if the price is right — then it makes business sense, as well,” says Buongiorno. 

Prof. Kerry Emanuel speaks with Washington Post reporters Sarah Kaplan, Shannon Osaka and Dan Stillman about the future of hurricane forecasting. “This is one thing that scares me, if these things can intensify more rapidly,” says Emanuel. “We’re going to have cases where forecasters go to bed with a tropical storm and wake up with a Category 5 when it’s too late to evacuate people.”

Yamilée Toussaint '08 has founded STEM From Dance – a dance program that combines STEM education and the performing arts as part of an effort to make STEM fields more accessible and engaging. The program currently works with girls of color in cities around the country. “I believe that the solution to some of the world’s most pressing problems relies on these girls being in the room because they have a different set of life experiences,” says Toussaint. “They’re creative, they’re intellectual, they’re curious, they’re artistic, and they’re going to bring a different set of ideas to the table, so we must make sure that they are included.”

Writing for Forbes, Senior Lecturer Guadalupe Hayes-Mota '08 MS '16, MBA '16 explores the challenges, opportunities and future of AI-driven drug development. “I see the opportunities for AI in drug development as vast and transformative,”  writes Hayes-Mota. “AI can help potentially uncover new drug candidates that would have been impossible to find through traditional methods.”