Machine learning

“In Event of Moon Disaster,” a short deepfake film on display at the MIT Museum’s “AI: Mind the Gap” exhibit depicts an alternate reality where the Apollo 11 mission ended in disaster, reports Mark Feeney for The Boston Globe. The “unnervingly realistic deepfake” depicts President Richard Nixon addressing the nation regarding the failed mission. The film “manages to be both frightening, in showing how convincing deepfakes can be, and, however paradoxically, inspiring,” writes Feeney. 

Prof. Pat Pataranutaporn speaks with The Guardian reporter Andrew Gregory about the lack of safety warnings and disclaimers in AI overviews, specifically in AI-generated health materials. “The absence of disclaimers when users are initially served medical information creates several critical dangers,” says Pataranutaporn. “Disclaimers serve as a crucial intervention point. They disrupt this automatic trust and prompt users to engage more critically with the information they receive.”

Writing for The Atlantic, Prof. Deb Roy explores the impact of chatbots on language and learning development. “The ordinary forces that tether speech to consequence—social sanction, legal penalty, reputational loss—presuppose a continuous agent whose future can be made worse by what they say,” writes Roy. “With LLMs, there is no such locus. …When the speaker is an LLM, the human stakes that ordinarily anchor speech have nowhere to attach.” 

 Prof. David Autor speaks with Bloomberg reporter David Westin about the shift toward automation in the workforce and the impact on workers. “There are many ways for us to use AI,” says Autor. “It’s incredibly flexible, malleable, plastic technology. You could use it to try to automate people out of existence. You could also use it to collaborate with people to make them more effective. But I also think that it depends on how we invest, how we build out those technologies.” 

President Sally Kornbluth and MIT Corporation member Noubar Afeyan PhD '87 served as panelists at the 2026 Davos Imagination in Action event to discuss “upholding scientific principles in the era of LLMs,” reports John Werner for Forbes. “We want all of our students to have a foundational facility with AI,” said Kornbluth. “What we want them to know, now, is how they can really be passionate about the content that they care about, whether it's materials design, whether it's aerospace, whether it's biochemical innovation, and understanding the many ways in which AI can help in that innovation.”

Researchers at MIT have “developed a new technique that enables large language models to learn new skills and knowledge without forgetting their past capabilities,” reports Ben Dickson for Venture Beat. “Their technique, called self-distillation fine-tuning (SDFT), allows models to learn directly from demonstrations and their own experiments by leveraging the inherent in-context learning abilities of modern LLMs,” explains Dickson. “Experiments show that SDFT consistently outperforms traditional supervised fine-tuning (SFT) while addressing the limitations of reinforcement learning algorithms.” 

Prof. Andrew Lo speaks with Wall Street Journal reporter Peter Coy about why he feels current AI systems aren’t suited to serving as financial advisors and his goal to create “an AI financial adviser that is a true fiduciary—namely, an entity that always puts the client’s interests first and tailors its advice to their particular needs, including emotional needs.” Lo notes that: “The AI people are using now can be dangerous, especially if the user isn’t fully aware of the biases, inaccuracies and other limits” of large language models. 

USA Today reporter Dinah Voyles Pulver spotlights Research Scientist Judah Cohen’s research studying how weather systems and climate patterns are related to the increase in Arctic blasts and deep freezes this winter. 

Research Scientist Judah Cohen speaks with New York Times reporter Eric Niiler about his research studying “how global warming might also be causing colder winters in the eastern United States.” Cohen says “It’s weird what’s going on now in the stratosphere. These stretching events happen every winter, but just how the pattern is stuck is really remarkable.” 

Prof. Marzyeh Ghassemi and Monica Agrawal PhD '23 speak with Boston Globe reporter Hiawatha Bray about the risks on relying solely on AI for medical information. “What I’m really, really worried about is economically disadvantaged communities,” says Ghassemi. “You might not have access to a health care professional who you can quickly call and say, ‘Hey… Should I listen to this?’”  

Prof. David Karger speaks with GBH’s Morning Edition host Mark Herz about the rapid development of new AI tools, the need for generative AI regulation, and the importance of transparency when it comes to AI-generated content. "I think we need to involve more entities, more people, more sources in the fact-checking process,” says Karger. “We need to figure out how to ensure that the fact checking can propagate into the platforms, even though the platforms are not doing the fact checking themselves.” 

Prof. Kevin Chen and his colleagues have developed a bee-like robot that can assist with farming practices, such as artificial pollination without damaging crops, reports Claire Turrell for Offrange. “Chen’s robot bee, which is tethered to a power source, is currently limited to flying between plastic flowers in the lab, but the robot engineer can see its potential,” explains Turrell. “Bees are doing great in terms of open-field farming,” says Chen. “But there is one potential type of pollination I think we can consider in the longer term, which is indoor farming,” 

Writing for The Conversation, Research Scientist Judah Cohen and Mathew Barlow of UMass Lowell examine how the polar vortex and moisture from a warm Gulf of Mexico created a monster winter storm that brought freezing rain, sleet and snow to large parts of the U.S. “Some research suggests that even in a warming environment, cold events, while occurring less frequently, may still remain relatively severe in some locations. One factor may be increasing disruptions to the stratospheric polar vortex, which appear to be linked to the rapid warming of the Arctic with climate change,” they write. “A warmer environment also increases the likelihood that precipitation that would have fallen as snow in previous winters may now be more likely to fall as sleet and freezing rain.”

Forbes reporter Craig Smith spotlights Prof. Regina Barzilay for her work using her personal health experience to develop transformative medical technology. In response to her breast cancer diagnosis, Barzilay “developed a deep learning model that analyzes mammography images to predict breast cancer risk up to five years in advance,” writes Smith. 

Prof. Jonathan How and graduate student Yi-Hsuan (Nemo) Hsiao speak with Tech Briefs reporter Andrew Corselli about their latest work developing an aerial microrobot that is “agile enough complete 10 consecutive somersaults in 11 seconds, even when wind disturbances threatened to push it off course.” Hsiao explains that: “This work demonstrates that soft and microrobots, traditionally limited in speed, can now leverage advanced control algorithms to achieve agility approaching that of natural insects and larger robots, opening up new opportunities for multimodal locomotion.”