In the Media

In an interview with The Boston Globe’s Rebecca Spiess, Prof. Eric So discusses how AI affects different areas of human cognition, as detailed in his new book “The Collision: What AI Does to Us.” “So many people these days are just really focused on the productivity benefits of AI and what it can do for us. I think what people really should be thinking about is what AI is doing to us in the immediate term,” says So. “AI is changing who we are as thinkers, right now, in our day-to-day lives; in classrooms; in households; in boardrooms across the globe.” 

Prof. Charles Stewart III, director of MIT’s Election Data and Science Lab, speaks to NPR’s “Morning Edition” about the surge in early voting among Americans in the midterm elections. The surge is reflecting “the enthusiasm of voters, but also, I think it has to be understood that a lot of this activity is also generated by the campaigns, getting out and motivating their voters to get to the polls or to return their mail-in-ballots,” says Stewart. “The political science research suggests that people who are voting early would have voted on Election Day had that mode not been available to them.” 

The Boston Globe’s Mark Feeney spotlights the “Bounce juggler (W.C. Fields),” a machine modeled after the comedian W.C. Fields, on display at the MIT Museum, that juggles three metal balls and was created by the late Prof. Claude Shannon SM ’40, PhD ’40. “It’s one thing to be known as ‘the father of information theory,’ as Shannon is. His work in mathematics, electrical engineering, cryptography, and computer science was that important,” writes Feeney. “But Shannon was also a chess player, unicyclist, juggler, and inventor. Shannon combined his talent for engineering and imagination with his love of humor and juggling in the ‘Bounce juggler.’”  

Forbes reporter Marshall Shepherd highlights the Probabilistic Bias Correction tool, a new AI system developed by MIT researchers that could extend weather forecasting predictability beyond two weeks.  

Prof. Tod Machover speaks to WBUR’s Andrea Shea about “already and not yet” an interactive composition he wrote for the Boston Symphony Orchestra and an AI instrument developed by Machover and graduate student Manaswi Mishra. Machover explains that they designed the AI tools so that they’re “always going to make a kind of variation, a coloration, an extension of what the musician's playing – but exactly what it's going to do I do not have complete control over. I'm trying to show that it [AI] can be integrated in a beautiful, provocative and interesting way in a serious piece of music.”  

Prof. Tod Machover’s composition “already and not yet,” was performed by members of the Boston Symphony Orchestra along with an AI system that listens to musicians and adds improvisations, reports A.Z. Madonna for The Boston Globe. “Music is something that’s meant to plumb your soul, and have you discover things,” says Machover. The composition is “about my view of where we are, how to take a deep breath and figure out, gather strength to go somewhere else, and then what a possible future of democracy might be.”  

Instead of giving AI agents a specific task, MIT researchers put 13 agents, named Eko, alone on a digital desert island for 30 hours, and witnessed the technology playing instead of simply wandering around, writes Fast Company’s Jude Cramer. “The researchers compared Eko’s behavior to common elements of play in animals, including humans,” notes Cramer. “These signs of play include creating their own rules, repeating behaviors with slight variations, setting goals for themselves, and transforming objects and events through make-believe.” 

After observing the behavior of 13 AI agents on a simulated desert island, MIT researchers suggest that allowing agents to explore “without a goal” could be an effective way to teach AI agents new skills, reports Aditya Mehta for TechCrunch. “We normally develop artificial agents by deciding in advance what they should practice, what they should optimize, and what counts as progress,” the researchers write. “Play suggests another regime: give an agent a sufficiently rich and safe world, let it choose what is interesting, and allow useful knowledge to accumulate from the history that follows.” 

Flapping Airplanes, a startup co-founded by Benjamin Spector ’22, MEng ’22, has developed a framework for AI models to run efficiently while being trained on less data and in a single graphics processing unit (GPU), writes Julie Bort for TechCrunch. The framework “can run a task that spends most of its time waiting for data to be fetched alongside one that spends most of its time doing math, so the chip is rarely sitting idle,” notes Bort. “The premise is that AI has barely scratched the surface of what GPUs can do, and they believe it can create intelligent systems ‘without ingesting half the internet.’”  

Metropolis reporter Anthony Paletta details how MIT’s inaugural Future Fest “brought together visionary leaders across design, technology, and art to address the world’s most pressing problems.” The festival featured the public debut of the redesigned Metropolitan Warehouse, along with conversations, exhibits and demonstrations on architecture, design and technology. “There are no shortage of things going wrong in the world, and others likely to follow,” writes Paletta, “but MIT’s Future Fest offered reassuring proof that we’ve not run out of means to address these problems.” 

Prof. Daron Acemoglu joins “The Claman Countdown” on Fox Business to discuss the possibility that largescale deployment of AI could triple unemployment within the next decade. “There is so much uncertainty about AI,” says Acemoglu. “It’s very difficult to know exactly when we’re going to see the productivity gains, which will come, and when we’re going to see job losses, and whether we’ll actually see some job creation as well. But on the current path where AI is being prepared and developed as a labor replacing technology, I would be very worried that within the next ten years we’ll see a lot of jobs disappear.”  

Eka Robotics, a startup cofounded by Prof. Pulkit Agrawal, has developed a robot with  a force-sensitive gripper that can “pick up about 1,500 objects that weigh up to 1 kg in an hour, compared to about 600 for a human” with 95% accuracy, reports Tim Fernholz for TechCrunch.  “We are starting off being very pragmatic, and saying here are two verticals in pick, arrange, place, and wire handling, let’s make them be home runs,” says Agrawal. “Once we have made home runs on them, the sky is the limit in how much we can do with the approach we are developing.” 

The New Yorker’s Gideon Lewis-Kraus details how Morris Chang ’52, SM ’53 founded the Taiwan Semiconductor Manufacturing Company (TSMC), “one of the most valuable tech companies globally” that “makes almost all of the world’s advanced [computer] chips.” “Chang proposed a semiconductor ‘foundry,’ which would do for pricey chips what its predecessors had done for cheap junk. At the time, however, the market didn’t exist,” writes Lewis-Kraus. “By the end of TSMC’s first decade, the company was bringing in a billion dollars in annual revenue.”  

Principal Research Scientist Deepjyoti Deka speaks to MassLive’s Tréa Lavery about the possibility of large data centers being located in greater Boston. “Anything, mostly, that you are using the computer for, that you are getting some information from, is housed in a data center,” says Deka. “When you talk about data centers in greater Boston, I doubt if we have any hyperscale, because there would need to be a gigantic factory that you could observe from a distance. But there are small ones.” 

Poets & Quants reporter Jeff Schmitt writes that MIT Sloan School of Management’s Assistant Dean Dawna Levenson has been honored as the “MBA Admissions Director of the Year,” by Poets & Quants. “Dawna brings a very human-first approach to MIT Sloan Admissions, deeply learning about our applicants as people and professionals, getting to know them through interviews, and understanding how they hope to make a difference in the world through their education,” says Sloan Dean Richard Locke. “She supports students throughout the admissions journey, providing guidance, helping them navigate the process, and pivoting, as needed, to support their matriculation.”