Industry

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.’”  

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.”  

For Manufacturing Dive, reporter Nathan Owens spotlights MIT’s Technologist Advanced Manufacturing Program (TechAMP), a 12-mong-long program that combines online instruction with hands-on lab work to bridge the gap between technical engineering and management skills, designed for working technicians or operators. “Students gain foundational leadership, process control and systems thinking skills,” notes Owens. TechAMP has “really shown me how to communicate more, communicate problems more, communicate solutions more,” says Brian Coppenrath, who completed the program.  

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.” 

Fast Company’s Adele Peters highlights Firma Power, a clean energy developer co-founded by MIT alumni aimed at working with data centers to use clean alternatives to gas power. “We started the company with the hypothesis that despite the fact that 98% of what’s in the queue is wind, solar and storage, that’s not getting tapped as the default path to power for large loads—so there’s got to be some market frictions and barriers there,” says Jesse Jenkins SM ’14, PhD ’18.  

Prof. Emilio Castilla discusses the factors companies must consider when deploying AI to help in the hiring process, in an article by USA Today’s Greta Reich. “We should evaluate not only whether the algorithm predicts historical hiring decisions, but whether it helps identify candidates who subsequently perform well in the job,” writes Castilla. “The most exciting possibility is not simply that AI might help us find the best talent more efficiently. It is that AI might help us recognize talent that our traditional hiring practices have systematically overlooked.”  

Research Affiliate Paul Kedrosky joins The New York Times’ “The Ezra Klein Show” to discuss how the development of AI is creating an economic bubble, where asset prices are detached from economic reality. “We’re building it [AI] out like we were the railroads, like we were electrification, like we were the canals, like we were the interstate highways. And every one of those moments has led to overbuild,” says Kedrosky. “The reality is we’ve never seen a general-purpose technology that had such broad applicability, was adopted so quickly and was repricing labor at the same time.”  

Testing 1,000 synthetically generated client profiles against AI chatbots for investment advice, Prof. Andrew Lo and Research Affiliate Jillian Ross identified “heuristic collapse,” where chatbots based their recommendations almost entirely on self-reported risk tolerance, while ignoring income and other variables, writes Damilola Esebame for The Street. “Lo has recommended that investors use chatbots for orientation, leveraging them to frame questions, map out available options, and prepare for conversations with a human advisor rather than treating the output as a finished plan,” notes Esebame. 

Prof. Daron Acemoglu joins CNBC’s “Closing Bell” to discuss how AI could cause mass job displacement due to companies deploying rapidly advancing technologies. “AI’s capabilities are real and powerful, but human jobs are also complex. I don’t think you want AI to take over air traffic controller jobs right now; you don’t want AI to do CEO jobs,” says Acemoglu. “What we are seeing when these models escape their sandboxes and create havoc—it's not that they are necessarily super intelligent, it is that they don’t have judgement and they are optimized for certain narrow metrics and when you let them loose, they are going to do lots of unforeseeable things. You don’t want that in many jobs.”  

At the STAT Summit, President Sally Kornbluth joined Holden Thorp, editor-in-chief of the Science family of journals, for a panel moderated by STAT’s Anil Oza. During the conversation, Kornbluth emphasized the importance of curiosity-driven research and education at institutions like MIT, highlighting MIT for America, a new initiative aimed at ensuring learners and educators from Kindergarten through community college across the country have access to STEM education. “We want to both meet people where they are, give their kids the opportunity, and also make them understand us as people who care about their communities,” says Kornbluth.

MIT startup LNK Energies has created a system to efficiently convert heavy-duty trucks from diesel to hydrogen, “slashing pollution and costs while shielding operators from the price spikes that result from geopolitical instability,” writes Tim De Chant for TechCrunch. “A lot of the reactors that LOHC (Liquid organic hydrogen carriers) companies have today are really large. They’re about the size of a shipping container,” says Alexis Huynh ‘24, cofounder of LNK. “We have shrunk that basically to the size of a mini fridge.” 

MIT spinout Cambridge Heavy Industries is developing a desktop-sized fusion reactor that can enable 50 to 80 experiments per day, writes TechCrunch’s Tim De Chant. “Cambridge Heavy’s fusion reactor uses lasers to compress a fuel target, similar to the groundbreaking experiment that proved controlled fusion reactions could produce more power than they consume,” notes De Chant. “But unlike other inertial confinement designs, Cambridge Heavy’s minimizes the number of lasers required to spark fusion.”  

Christina Qi ‘13 speaks to Entrepreneur’s Sherin Shibu about her experience starting her own hedge fund as an undergraduate, and co-founding and serving as the CEO of Databento, a market data platform. Qi encourages founders to support one another: “You can succeed and raise each other up and support each other, even as competitors in this industry,” she says. “That is absolutely possible. That’s what I have done and strive to do with a lot of our competitors in this space, with other founders.” 

Boston Globe reporter Jon Chesto spotlights the fall fair event held as part of the MIT x GE Vernova Energy & Climate Alliance, during which, GE Vernova CEO Scott Strazik shared his enthusiasm for hiring MIT graduates. “Something we talk a lot about inside Vernova is the world is changing very quickly but we need to change quicker and even faster than that so we can lead in the world,” says Strazik. “Over the last year-plus on this campus, we see a lot of opportunities for us to get better through bringing you into the organization.”