Research Scientist Robert Ajemian, graduate student Greta Tuckute and MIT Museum Exhibit Content and Experience Developer Lindsay Bartholomew appear on The Economist’s Babbage podcast to discuss the development of generative AI. “The way that current AI works, whether it is object recognition or large language models, it’s trained on tons and tons and tons of data and what it’s essentially doing is comparing something it’s seen before to something it’s seeing now,” says Ajemian.
FutureTech researcher Tamay Besiroglu speaks with New Scientist reporter Chris Stokel-Walker about the rapid rate at which large language models (LLMs) are improving. “While Besiroglu believes that this increase in LLM performance is partly due to more efficient software coding, the researchers were unable to pinpoint precisely how those efficiencies were gained – in part because AI algorithms are often impenetrable black boxes,” writes Stokel-Walker. “He also points out that hardware improvements still play a big role in increased performance.”
Financial Times reporters Andrew Hill and Emma Jacobs spotlight how Prof. Carlo Ratti and his colleagues have found that “people are traveling less far from their homes, consistent with more remote working.” The findings demonstrate a more flexible approach to commuting. “That’s good news [for cities], because the problem is not a problem of capacity, it’s a problem of peaks,” Ratti explains.
Prof. Katharina Ribbeck speaks with Christopher Intagliata of Scientific American’s “Science Quickly” podcast about her research exploring how mucus can treat and prevent disease. “The basic building blocks of mucus that give mucus its gooey nature are these threadlike molecules—they look like tiny bottlebrushes—that display lots and lots of sugar molecules on their backbone,” explains Ribbeck. “And these sugar molecules—we call them glycans—interact with molecules from the immune system and microbes directly. And the exact configuration and density of these sugar molecules is really important for health.”
Prof. Gregory Rutledge speaks with The Ringer reporter Claire McNear about the science behind nanofibers and whether it's possible to create ultrathin and ultrastrong nanofibers that are invisible to the human eye, as shown in the science fiction series “3 Body Problem.” Rutledge explains that: “Given that a human hair is about 50 micrometers in diameter, a fiber 100 times smaller would be about 500 nanometers in diameter. Such fibers are routinely made by electrospinning, as well as by a couple of other technologies. Metal wires can also be drawn that small.”
Prof. Yossi Sheffi, director of the MIT Center for Transportation and Logistics, discusses the potential impacts of the collapse of the Francis Scott Key Bridge in Baltimore on shipping, logistics and the economy. “Many other ports are not equipped to handle the type of commodities that go to Baltimore,” Sheffi explains.
Prof. Yossi Sheffi, director of the MIT Center for Transportation and Logistics, speaks with WCVB-TV about how the collapse of the Francis Scott Key Bridge in Baltimore and the closing of the Port of Baltimore could impact car shipments on the East Coast. Sheffi explains that not all ports can handle cars like Baltimore, and they require “hundreds of trucks and railcars that are equipped to transport vehicles and bring them to the dealers.”
Writing for The Hill, Sloan Prof. Catherine Wolfram and UCLA Prof. Kimberly Clausing explore why they feel U.S. politicians should embrace carbon pricing. “2025 will be a big year for Congress to tackle longstanding fiscal issues and further climate policy efforts,” they write. “Before this can happen, politicians need to hear timely arguments backed by up-to-date evidence.”
Prof. Jonathan Gruber speaks with Marketplace reporter Matt Levin about the potential impact of raising the retirement age in the United States. Gruber suggests a new system where retirement age would vary by income. “People who are sufficiently high income, should be expected to work longer and get less in the system,” says Gruber. “People with physically demanding jobs and low income should be able to retire earlier.”
Ms. Magazine reporter Kalindi Vora spotlights Prof. Emerita Evelyn Fox Keller and the legacy of her work in the field of science. “Through her work, [Keller] showed that objectivity, the key value of the sciences, is in fact always partially subjective,” writes Vora. “Her legacy demonstrates that diversifying the sciences will improve research and discovery.”
A number of MIT faculty and alumni – including Prof. Daniela Rus, Prof. Regina Barzilay, Research Affiliate Haddad Habib, Research Scientist Lex Fridman, Marc Raibert PhD '77, former Postdoc Rana El Kaliouby and Ray Kurzweil '70 – have been named key figures “at the forefront of Boston’s AI revolution,” reports Wyndham Lewis for Boston Magazine. These researchers are “driving progress and reshaping the way we live,” writes Lewis.
MIT researchers have developed a new technique that uses a large language model to allow robots to self-correct after making a mistake, reports Brian Heater for TechCrunch. “Researchers behind the study note that while imitation learning (learning to do a task through observation) is popular in the world of home robotics, it often can’t account for the countless small environmental variations that can interfere with regular operation, thus requiring a system to restart from square one,” writes Heater. “The new research addresses this, in part, by breaking demonstrations into smaller subsets."
Prof. Long Ju and his colleagues observed the fractional quantum anomalous Hall effect (FQAHE) when five layers of graphene were sandwiched between sheets of boron nitride, reports Dan Garisto for Nature. The findings are, “capturing physicists’ imagination because they are fundamentally new discoveries about how electrons behave,” writes Garisto.
In an article for Forbes, Sloan Research Scientist Ranjan Pal and Prof. Bodhibrata Nag of the Indian Institute of Management Calcutta highlight the risks associated with the rise of Internet of things-driven smart cities and homes. “Unlike traditional catastrophic bond markets, where the (natural) catastrophe does not affect financial stability, a cyber-catastrophe can affect financial stability,” they write. “Hence, more information is needed by bond writing parties to screen cyber-risk exposure to guarantee no threat to financial stability.”
Prof. David Autor speaks with Bloomberg’s Odd Lots podcast hosts Joe Weisenthal and Tracy Alloway about how AI could be leveraged to improve inequality, emphasizing the policy choices governments will need to make to ensure the technology is beneficial to humans. “Automation is not the primary source of how innovation improves our lives,” says Autor. “Many of the things we do with new tools is create new capabilities that we didn’t previously have.”