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Fast Company

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.  

Digital Trends

MIT researchers have discovered that when individual images are removed from large AI diffusion models, the models are still able to produce like images, writes Digital Trends’ Varun Mirchandani. “The more interesting takeaway is that this connection becomes increasingly difficult to trace as datasets grow,” writes Mirchandani. “An AI-generated image may draw on patterns learned from an enormous pool of material without having a clear, identifiable source image behind it.” 

 

The Register

The Register’s Thomas Claburn highlights a new study by MIT researchers that found large AI models can still reproduce an artist’s style, even when the artist’s work is removed from its training data, making attribution more difficult. “[G]iven the contemporary adoption of these models for creative and commercial purposes, attributability also carries ethical, policy, financial, and legal implications,” the researchers note.  

 

Computer World

MIT researchers found the more data an AI model is trained on could complicate AI copyright, auditing, and governance, writes Computer World’s Taryn Plumb. “[S]ingle artworks by specific artists, or photographs of certain people, could be entirely removed from datasets, and the model could still reproduce that image or style,” writes Plumb. “Essentially, tangible connections are lost, and linking to specific data points responsible for generated samples is ‘practically impossible,’ or can even vanish, the researchers explained.” 

GBH

Prof. Jinhua Zhao takes a car ride through Boston with GBH “Curiosity Desk” host Edgar B. Herwick II to discuss the concerns and benefits of self-driving technology entering the city. “We pay a lot of attention to how good AV [Autonomous Vehicle] safety needs to be, but it’s important for us to understand how bad we have been—the current system is [bad],” says Zhao. “When human drivers are aggressive, they actually indeed pose a challenge on AV—which is that AV needs to learn how to be assertive. If you’re too conservative, you’ll just be stuck there going nowhere.”

Bloomberg News

Writing for Bloomberg, Prof. Simon Johnson and Prof. Elisabeth Reynolds describe how the U.S. can maintain its technological leadership by investing in research focused on critical minerals, semiconductors, biotechnology, quantum computing, drones and advanced manufacturing.  “Invention is important, but technological leadership in the 21st century will go to the country that adopts these new ideas rapidly and applies them in clever ways,” Johnson and Reynolds write. “And that will require the U.S. to build vibrant innovation and industrial ecosystems that adopt and diffuse new technologies, including AI.”

Manufacturing Dive

Manufacturing Dive reporter Cole Rosengren notes that a year after its launch, the MIT Initiative for New Manufacturing (INM) is “gaining traction toward its goal of helping modernize U.S. industrial systems.” Speaking at a Boston Tech Week event, Prof. John Hart, co-director of the INM, shared that at MIT, “we believe that there are important things we can do to help grow domestic manufacturing productivity, impart more sustainability in supply chains and industries, and also contribute to the creation of high-quality manufacturing jobs.”

Bloomberg Radio

Profs. Elisabeth Reynolds and Simon Johnson joined Tom Keene and Paul Sweeney on Bloomberg Surveillance to discuss their new book, "Priority Technologies: Ensuring U.S. Security and Shared Prosperity," which highlights six key areas where advances in technology can drive the U.S. economy and support national security. “Quantum is the next frontier and opens up billions of dollars of opportunity,” says Reynolds. “Not just for defense and encryption issues, but also across all sorts of applications in financial services and biopharma.” 

Boston Globe

President Emeritus L. Rafael Reif writes for The Boston Globe that with the advent of transformative AI, there is an urgent need for “a bilateral conversation between Washington and Beijing, focused on the shared dangers these technologies pose to each nation and to global stability. Both governments must work toward agreed guardrails, defining not just how this technology should be used but where it must never be applied. Red lines need to be defined, established, and agreed upon.” 

TechCrunch

Guide Labs, co-founded by Julius Adebayo SM ’15, SM ’16, PhD ’22, has debuted a large language model designed to make “its actions easily interpretable,” reports Tim Fernholz for Tech Crunch. “Every token produced by the model can be traced back to its origins in the LLM’s training data,” explains Fernholz. 

The Boston Globe

Prof. Yet-Ming Chiang, Shreya Dave '09, SM ’12, PhD '16, Bob Mumgaard SM '15, PhD '15 and Sloan alumna Emily Reichert have been named to the 2025 Boston Globe Tech Power Players list for their efforts in the energy sector, reports Hiawatha Bray for The Boston Globe. Chiang emphasizes the importance of federal funding in advancing scientific research. “My entire career has been supported by US taxpayers,” Chiang says. “The ability to give back and develop technologies and create jobs, that’s a big motivator for me.”

Engineeringness

A study by MIT researchers finds “using scrubbers to treat exhaust from heavy fuel oil may offer environmental performance on par with, and in some areas superior to, burning low-sulfur fuels in maritime shipping,” reports Hassan Ahmed for Engineeringness. “The research provides data that could help policymakers and industry leaders better assess the comparative costs and benefits of available fuel options,” explains Ahmed. 

Fortune

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

The Boston Globe

Georgina Campbell Flatter SM '11 has been named the chief executive of Greentown Labs, the “nation’s largest clean-tech incubator,” reports Jon Chesto for The Boston Globe. “This is a pretty critical time for energy and climate, and we all need to lean in,” says Flatter. 

Grist

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.”