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.
Drew Houston '06, founder and CEO of Dropbox, speaks with NBC Boston reporter Ashton Jackson about his work creating and developing the cloud storage platform. "I started Dropbox more out of just personal frustration," says Houston. "It really felt like something only I was super interested in as far as file syncing, and focusing on one customer, which was myself."
NeuroBionics, an MIT spinoff, has developed bioelectric fibers that could deliver neuromodulation therapy aimed at helping people who live with neurological conditions like depression, epilepsy, and Parkinson’s disease, reports Connie Loizos for TechCrunch. “The fibers are powered by a fairly standard implantable battery that’s shaped like an AirPod case, designed to last five to 10 years, and is used by other medical device makers for spinal cord stimulation, among other things,” writes Loizos.
Prof. Pattie Maes speaks with Wired reporter Reece Rogers about the potential benefits and challenges posed by AI agents. “The way these systems are built, right now, they're optimized from a technical point of view, an engineering point of view,” says Maes. “But, they're not at all optimized for human-design issues.”
Graduate student Aidan Toner-Rodgers speaks with Atlantic reporter Jerusalem Demsas about his research examining the productivity of scientists at an R&D lab following the introduction of AI tools to aid in the discovery of new materials. “I think a big takeaway from economic-growth models is that in the long run, really, productivity is the key driver of improvements in living standards and in health,” Toner-Rodgers explains. “I think all the big improvements in living standards we’ve seen over the last 250 years or so really are driven fundamentally by improvements in productivity. And those come, really, from advances in science and innovation driving new technologies.”
Noubar Afeyan PhD '87 and a member of the MIT Corporation speaks with Boston Globe reporter Aaron Pressman about the future of artificial general intelligence (AGI) and “superintelligent” AI. “Humans have long developed tools, microscopes, mass spectrometers, you name it, to help them be able to understand nature better,” says Afeyan. “Now one of the tools, in the case of machine [learning], we’re elevating to the level of a whole new intelligence.”
Prof. Daron Acemoglu speaks with Financial Times reporter Rana Foroohar about the impact of automation on the labor market. “It’s likely that the short- to midterm gains from AI will be distributed unequally, and will benefit capital more than labor,” says Acemoglu.
Iqbal Dhaliwal, executive director of the Abdul Latif Jameel Poverty Action Lab (J-PAL), speaks with NPR reporter Ari Daniel about the positive social impact that can be brought forth by AI. "As this technical revolution unfolds in real time," says Dhaliwal, "we have a responsibility to rigorously study how these technologies can help or harm people's well-being, particularly people who experience poverty, and scale only the most effective AI solutions."
Researchers at MIT and elsewhere have found “that investors who use OpenAI’s GPT-4o to summarize earnings calls realize higher returns than those who don’t,” reports Kyle Wiggers for TechCrunch. “The researchers recruited investors and had GPT-4o give them AI summaries aligned with their investing expertise,” explains Wiggers. “Sophisticated investors got more technical AI-generated notes, while novices got simpler ones.”
Prof. Daron Acemoglu highlights the economic and societal implications of integrating automation in the workforce, reports Taylor Nicole Rogers for The Financial Times. “Acemoglu says that robots’ current capabilities mean that those most at risk of being displaced are in blue-collar jobs and lack college degrees, which may make it difficult for them to shift into the high-tech roles likely to be created by automation,” writes Rogers.
New research by graduate student Aidan Toner-Rodgers looks at “what happened to the productivity of over a thousand scientists at an R&D lab of a large company after they got access to AI,” reports Greg Rosalsky for NPR’s Planet Money. “Toner-Rodgers found that ‘while the bottom third of scientists see little benefit, the output of top researchers nearly doubles,’” Rosalsky explains.
Writing for Wired, Prof. Daniela Rus, director of CSAIL, highlights the future of “physical intelligence, a new form of intelligent machine that can understand dynamic environments, cope with unpredictability, and make decisions in real time.” Rus writes: “Unlike the models used by standard AI, physical intelligence is rooted in physics; in understanding the fundamental principles of the real world, such as cause-and-effect.”
MIT Humanist Chaplain Greg Epstein discusses key insights from his new book, “Tech Agnostic: How Technology Became the World’s Most Powerful Religion, and Why It Desperately Needs a Reformation,” with Fast Company. “One of the biggest blessings skeptical Humanism can offer a world of tech-certainty, in which AI chatbots freely and frequently hallucinate garbage answers and advice (like Google Gemini’s suggestion to use glue to keep cheese from sliding off pizza), is that it’s honorable to admit not knowing an answer,” explains Epstein.
Sloan research fellow Michael Schrage speaks with Fortune reporter Sheryl Estrada about the impact of AI on CFO roles. “The ongoing ‘Compound AI’ revolution, which involves approaching AI tasks by combining multiple interacting components, will increasingly transform the CFO role into that of an AI-powered chief capital officer (CCO),” says Schrage. “This is an analytics-driven shift that isn’t optional but imperative for enterprise growth.”
Prof. Daron Acemoglu highlights the importance of adopting alternative technologies in the face of AI advancements, reports Jared Newman for Fast Company. “We need investment for alternative approaches to AI, and alternative technologies, those that I would say are more centered on making workers more productive, and providing better information to workers,” says Acemoglu.