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.”
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.”
MIT engineers have developed a new training method to help ensure the safe operation of multiagent systems, including robots, search-and-rescue drones and self-driving cars, reports Jijo Malayil for Interesting Engineering. The new approach “doesn’t focus on rigid paths but rather enables agents to continuously map their safety margins—the boundaries within which they must stay,” writes Malayil. “As long as they remain within these margins, they can choose any path to complete their task. The method mimics how humans intuitively navigate their environment, adjusting to changes while maintaining safety.”
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.
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."
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.”
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.”
Knowable Magazine reporter Katherine Ellison spotlights Future You, a new program developed by researchers at MIT that “offers young people a chance to chat with an online, AI-generated simulation of themselves at age 60.”
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.