Varun Mohan '17, SM '17 and Douglas Chen '17 co-founded Codeium, an AI-powered coding startup designed to help users write code in a faster and more efficient manner, reports Marina Temkin for TechCrunch. “Codeium tries to distinguish itself from competitors by targeting companies rather than individual developers,” writes Temkin.
Prof. David Autor joins Danielle Pletka and Marc Thiessen on their American Enterprise Institute podcast to discuss his research examining the impact of China entering the World Trade Organization, how the U.S. can protect vital industries from unfair trade practices, and the potential impacts of AI. “If you say, we're running a race against China, and certainly we are in many ways, we have two tools at our disposal. One is we can try to trip them up and hobble them. The other is we could bulk up and run faster. And we're going to have to do both,” says Autor. “We have to be willing to do the expensive stuff as well as the cheap stuff. The cheap stuff is like, let's put tariffs on them. The expensive stuff is let's invest in ourselves. And those are complementary activities.”
A new study by researchers at MIT has found that “while highly skilled workers reported a 40% surge in performance when artificial intelligence was used within the boundary of its capabilities, overreliance on AI resulted in a performance drop of 19%,” reports Chris Callagher for USA Today.
Prof. Daron Acemoglu speaks with New York Times reporter Jeff Sommer about the anticipated impact of future AI on various industries. “There is a lot of hype in the industry,” says Acemoglu. While some AI companies have “impressive achievements,” Acemoglu adds that many financial and economic calculations were being based on mere “projections into the future that are sometimes exaggerated.”
Lincoln Lab Senior Scientist Vijay Gadepally speaks with Washington Post reporter Nicolas Rivero about ways to make AI more sustainable. “Whatever we do, energy usage is likely going to go up,” says Gadepally. “That train has left the station.”
Prof. Daron Acemoglu speaks with Bloomberg reporter Jeran Wittenstein about the implications of new AI advancements on areas such as productivity, the labor market and economic growth. “I hope I’m wrong, I hope we get some productivity growth. That would be really cool,” says Acemoglu. “But I don’t see it yet.”
Prof. Max Tegmark speaks with CNBC “Beyond The Valley” podcast hosts Arjun Kharpal and Tom Chitty about concerns surrounding the future of AI systems. “I think, on an optimistic note here, we can have almost everything that we’re excited about with AI,” says Tegmark, “if we simply insist on having some basic safety standards before people can sell powerful AI systems.”
Evan Ehrenberg PhD '16 co-founded Waterlily, a company that “uses artificial intelligence to predict a family’s future long-term care needs and costs” with the right care and financial planning, reports Mary Ann Azevedo for TechCrunch. “Ehrenberg — who had previously founded and sold Clara Health — helped with early research and was struck by the industry’s response,” writes Azevedo. “Curious, he tested the platform and was shocked by his long-term care predictions — so much so that he changed his diet, hired a personal trainer, and updated his financial plans.”
In an article for The New York Times, Prof. Pranav Rajpurkar of Harvard and Prof. Eric J. Topol of Scripps highlight a recent study by MIT researchers that examined “how radiologists diagnose potential diseases from chest X-rays.” They write that the study’s findings “broadly indicate that right now, simply giving physicians A.I. tools and expecting automatic improvements doesn’t work. Physicians aren’t completely comfortable with A.I. and still doubt its utility, even if it could demonstrably improve patient care.”
Postdoctoral Associate Pat Pataranutaporn speaks with Wall Street Journal reporter Heidi Mitchell about his work developing Future You, an online interactive AI platform that “allows users to create a virtual older self—a chatbot that looks like an aged version of the person and is based on an AI text system known as a large language model, then personalized with information that the user puts in.” Pataranutaporn explains: “I want to encourage people to think in the long term, to be less anxious about an unknown future so they can live more authentically today.”
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.
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.”
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.”
Ars Technica reporter Jacek Krywko spotlights how MIT researchers have developed a new photonic chip that that can “compute the entire deep neural net, including both linear and non-linear operations, using photons.” Visiting scientist Saumil Bandyopadhyay '17, MEng '18, PhD '23 explains that: “We’re focused on a very specific metric here, which is latency. We aim for applications where what matters the most is how fast you can produce a solution. That’s why we are interested in systems where we’re able to do all the computations optically.”
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.