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Forbes

Steve Mann PhD '97 has been awarded the IEEE Masaru Ibuka Consumer Electronics Award for his contributions toward the development of virtual reality, augmented reality, wearable technology, eXtended Reality products and services, reports Thomas Coughlin for Forbes. “Widely regarded as ‘the father of wearable computing,’” Mann “invented, designed, and built the world’s first smartwatch capable of downloading and running a wide variety of apps for health, well-being, and fitness tracking, ushering in a new era of personal health,” explains Coughlin. 

USA Today

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. 

The New York Times

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.”

Bloomberg

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.”

Beyond The Valley

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.”

The Wall Street Journal

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.” 

NBC Boston

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." 

Interesting Engineering

MIT engineers have developed “two new control techniques that have enabled them to achieve a world-record single-qubit fidelity of 99.998 percent using a superconducting qubit called fluxonium,” reports Aman Tripathi for Interesting Engineering. “This breakthrough marks a significant step towards the realization of practical quantum computing,” Tripathi notes. 

Wired

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.” 

The Boston Globe

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

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.” 

Financial Times

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. 

NPR

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."

Financial Times

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. 

Wired

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.”