In the Media

In a message to campus, President Sally Kornbluth shared a new report by MIT’s Ad Hoc Committee on AI Use that found that “even as AI accelerates and expands discoveries,  it is also driving dramatic changes in campus culture, upending foundational experiences such as study groups, office hours and undergraduate research,” writes the Washington Post’s Susan Svrluga. “For the sake of our students, for the future of MIT and for the shape of our sector and our society,” says Kornbluth, “it’s imperative that we get this right.” 

A new study by MIT researchers found that it is impossible to draw a direct link between AI diffusion model outputs and an artist’s body of work, writes Gizmodo’s Webb Wright. “If a [diffusion] model generates something, you want to be able to say, ‘Oh, this part of the training data was responsible,'” says Zheng Dai, PhD ’24, lead author on the study. “It’s important for us to understand how these models work to properly study them or regulate them.” 

The Financial Times’ Anjana Ahuja spotlights research led by Prof. Dennis Whyte on the economics of fusion energy. “Economic Q, the metric devised by Whyte and others and which must exceed one to represent net economic gain, compares the capital gained over a fusion energy plant’s lifetime to that expended,” writes Ahuja. “Factors reflect the extreme engineering involved and include construction costs, component durability and the efficiency of converting fusion power into a commodity.” 

Research Associate Awad Abdelhalim found that 46 per cent of the miles traveled by Waymo between August 2023 and December 2025 in California were ‘deadhead’ miles, where the vehicle traveled without a passenger, reports the Financial Times’ Kana Inagaki, Megan Snaith and Jim Pickard. Abdelhalim says, “the findings showed that — like human-driven taxis — Waymos were on the road more than the average private car,” Inagaki, Snaith, and Pickard write. “[A]s robotaxi fleets scale up, this could become an issue that needs to be addressed [in the UK], said Abdelhalim.” 

Prof. Emeritus Rodney Brooks speaks to Scientific American’s Mary Randolph about humanoid robots interacting with the real world. “When you see a performance of an [artificial intelligence] system or a robot on one thing,” says Brooks, “that fools us into thinking that it has the same general competence as a human. And that’s a mistake people make.” 

MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training has released a report on AI and education and recommendations for the Institute moving forward, writes Forbes’ Ron Schmelzer. “President Sally Kornbluth describes the moment as a ‘watershed’ for MIT and higher education,” writes Schmelzer. “The recommendations include redesigned assessments, renewed attention to hands-on learning, explicit AI rules for courses and new communities of practice for faculty.”

MIT researchers have found that AI search features are unevenly distributed worldwide, and can sometimes share misleading information about images, writes Forbes’ Hastimal Jangid. “These incidents are important reminders that systems are only as good as the data they're trained on and that the long tail of data documenting the physical world is still being filled in,” writes Jangid.

Writing for Forbes, Arvid Ernst Gollwitzer, a research scholar at the Broad Institute of MIT and Harvard, spotlights FINGERS-7B, an AI foundation model for Alzheimer’s prevention his research team developed at MIT. “By analyzing signals spanning everything from genetic risk factors to long-term environmental exposures, the model detects patterns that no single-domain approach could find,” writes Gollwitzer. “These patterns, which we call multi-omic precision signatures, represent a new kind of biomarker for gauging early disease risk.” 

WBUR’s Maddie Browning highlights exhibits by artists Uri Aran and Hao Jingban set to be displayed at the MIT List Visual Arts Center from Oct. 23 to Feb. 28. Aran’s first major institutional solo exhibition in the U.S “includes new works that feel strange yet recognizable," while Jingban’s “‘I Witness’ (2025) explores the aftermath of the pandemic through four people experiencing different forms of loss,” writes Browning 

Forbes’ Satya Krishnaswamy highlights a study co-authored by Lawrence Schmidt, a research affiliate at Sloan, that found AI can contribute to growth in certain roles where workers focus on higher-value tasks. “Schmidt’s research found that increased AI use was linked to both employment and sales growth,” writes Krishnaswamy.  

In conversation with The Boston Globe’s Hilary Burns, MIT President Emeritus L. Rafael Reif discusses his views on the value of US research universities and why saying so publicly matters. It's “tough times for universities, and that means a non-ending decline for the US,” warns Reif. “There is something unique about a university that companies do not have and national labs do not have, which is students. If we believe that science is important, we have to have a place where we create the scientists of the future.” 

In a Financial Times opinion piece, Prof. Carlo Ratti discusses alternatives to implementing traditional air conditioning systems, which move rather than reduce heat, that could be used in Europe as temperatures continue to rise. “The best answer, then, is a mixed system, co-ordinated in real time, with sensors to track temperature, occupancy and demand, and algorithms deciding when to produce, store and distribute cooling in step with the electricity grid,” writes Ratti. 

Forbes’ Bryan Robinson highlights Prof. Paul Osterman’s new book, “Disposable Workers: The Transformation of Employment,” and identifies what constitutes disposable work. “We’re not becoming a gig economy; we’re becoming a disposable one,” says Osterman. “Marginal workers are employees who have no career prospects at their organizations.” 

The Boston Globe’s Mark Feeney chronicles MIT’s adaptive reuse of the historic Metropolitan Warehouse into the new home of the School of Architecture and Planning. “As spaces, our studios used to be a lot more like labs, but now they are grand and full of light and celebratory in a way that hopefully enables better work,” says Prof. Ana Miljački, Head of the Department of Architecture.  

Prof. David Gifford and Zheng Dai PhD ’24 discovered that AI diffusion models can replicate the style of an artist even when their work was omitted from datasets, leading to ‘attribution decay,’ writes Fast Company’s Jesus Diaz. “This trend, what the researchers call ‘attribution decay,’ means that artificial intelligence can produce an image that resembles a particular artist’s work, while having no provable causal link to that artist’s actual contribution to the training data,” explains Diaz.