Graduate, postdoctoral

A new study by researchers at MIT and elsewhere explores “children’s exploitation of language ‘loopholes’ — instances in which kids technically do what adults ask of them but completely violate the true intent of the request,” reports Charlotte Hu for Scientific American. “Sometimes you don’t want to cooperate, but it might feel risky to outright refuse,” explains former postdoc Sophie Bridgers. “We started to be curious about the strategies [kids] used to handle this tension.” 

Graduate student Cathy Fang speaks with CBS News reporter Lindsey Reiser about her research studying the effects of AI chatbots on people’s emotional well-being. Fang explains that she and her colleagues found that how the chatbot interacts with the user is important, “but also how the user interacts with the chatbot is equally important. Both influence the user’s emotional and social well-being.” She adds: “Overall, we found that extended use is correlated with more negative outcomes.”

A new proposal by graduate student Shayne Longpre and other AI researchers suggests “a new scheme supported by AI companies that gives outsiders permission to probe their models and a way to disclose flaws publicly,” reports Will Knight for Wired. “The authors suggest three main measures to improve the third-party disclosure process: adopting standardized AI flaw reports to streamline the reporting process; for big AI firms to provide infrastructure to third-party researchers disclosing flaws; and for developing a system that allows flaws to be shared between different providers,” writes Knight. 

Writing for Fast Company, graduate student Sheng-Hung Lee and Devin Liddell of Teague highlight four types of AI technologies that could aid senior citizens in their homes. “To better understand how seniors want AIs and robots to help in their homes, we asked them,” they write.  “We recruited seniors from the MIT AgeLab’s research cohort—each around 70 years old and in the early stages of retirement—and then engaged in wide-ranging conversations about their aspirations and fears about these technologies.”

Researchers from MIT and elsewhere estimate that “while 36% of U.S. private sector jobs were technically ‘exposed’ to automation through computer vision… it would only make economic sense for firms to pursue automation for 8% of all private sector jobs—just a quarter of those jobs labelled ‘exposed,’” report François Candelon, David Zuluaga Martínez and Etienne Cavin for Fortune. 

Prof. Sara Seager, postdoctoral fellow Iaroslav Iakubivskyi and Claire Isabel Webb PhD '20 have designed Phainoterra, an imaginary planet “with a habitable sulfuric acid-based biochemistry” using “extensive scientific research and cross-checking against known physical precepts,” reports Leslie Katz for Forbes. The creation of Phainoterra is a part of “Proxima Kosmos, a new project that unites scientists, including one from NASA, with designers and sci-fi writers to create a speculative solar system consistent with the laws of astronomy and physics.” 

Postdoctoral associate Mostafa Hamouda speaks with Washington Post reporter Scott Dance about the recent cold blast that is bringing “frigid air that normally swirls above the North Pole to places much farther south.” Hamouda explains: “You need really cold air in the pole to have a very fast-spinning polar vortex.” Any warming “slows the whole circulation down.”

Former postdoctoral associate Wen Shuhao and postdoctoral fellows Ma Jian and Lai Lipeng co-founded Xtalpi, a biotech startup that “uses AI and quantum physics-based calculations to find suitable structures that are fit for drug making,” reports Zinnia Lee for Forbes. The company plans to expand their technology to other industries such as solar panels and electric vehicle batteries. 

Graduate student Palak Patel speaks with BBC News reporter Chris Baraniuk about her work designing an “experimental molten regolith electrolysis system, for extracting oxygen and metal from the lunar soil.” Palak explains: “We’re really looking at it from the standpoint of, ‘Let’s try to minimize the number of resupply missions.’” 

Graduate student Shomik Verma writes for Newsweek that “we need systemic change to ensure our individual climate actions aren't going to waste. If you're serious about fighting climate change this year, instead of recycling more, consider shifting focus to policy support and investments.” Verma adds: “if we advocate for change at the federal and state level, we can build an effective bridge between our individual actions and the change we want to see in the world.”

Physics World has selected two research advances by MIT physicists for its Top 10 Breakthroughs of the Year for 2024, reports Hamish Johnston for Physics World. Graduate student Andrew Denniston and his colleagues were honored for their work “being the first to unify two distinct descriptions of atomic nuclei,” which Johnston describes as a “major step forward in our understanding of nuclear structure and strong interactions.” MIT researchers were also featured for their work demonstrating quantum error correction on an atomic processor with 48 logical qubits, making it “far more likely that quantum computers will become practical problem-solving machines.”

Graduate student William Parker SM '22 has discovered that two geomagnetic storms have “affected the orbits of thousands of satellites, resulting in an unprecedented mass migration,” reports Passant Rabie for Gizmodo. “Geomagnetic storms are disturbances in Earth’s magnetosphere—a large bubble of magnetic field around our planet—caused by solar wind,” explains Rabie. 

New research by graduate student William Parker SM '22 has found that two geomagnetic storms have led to the mass migrations of thousands of satellites in low Earth orbit, reports Jeff Foust for Space News. “This is a significant impact,” says Parker. “This is critical infrastructure to all of our space operations moving forward, and it will only become more important as time goes on.”

Grist reporter Matt Simon spotlights a new study co-authored by MIT researchers that finds “large-scale deployment of long-duration energy storage isn’t just feasible but essential for renewables to reach their full potential, and would even cut utility bills.” Graduate student Martin Staadecker explains: “Battery storage on its own — or what people call short-duration energy storage — is very important. But you can’t just rely on lithium-ion batteries, because it would be very expensive to have enough to actually provide power for an entire week.”

Researchers from MIT and elsewhere have compared 12 large language models (LLMs) against 925 human forecasters for a three-month forecasting tournament to help predict real-world events, including geopolitical events, reports Tomas Gorny for Forbes. "Our results suggest that LLMs can achieve forecasting accuracy rivaling that of human crowd forecasting tournaments,” the researchers explain.