Industry

Prof. Dennis Whyte joins Hakeem Oluseyi, host of GBH’s “Particles of Thought,” to discuss cofounding MIT spinoff Commonwealth Fusion Systems from a class assignment that blossomed into actionable research. The students “were not saddled with conventional wisdom” about superconducting technology, says Whyte. In the class, “we were throwing all kinds of crazy ideas at the fridge on this and some of them stuck,” says Whyte. “I’ve had the privilege to see my students succeed. We [professors] have a job where we get an amazing privilege where we get to discover.”  

A working paper co-authored by Prof. Kate Kellogg found that building organization wide AI tools created “substantial work beyond employees’ day-to-day jobs,” writes Fortune’s Bilin Lin. “That work included trial-and-error experimentation, reviewing and refining outputs with colleagues across departments, and continually adapting solutions as AI models evolved. Much of that work remained invisible to leadership,” notes Lin.  

A working paper by Prof. Drew Fudenberg and a team of researchers suggests that major AI companies should share their advances with one another to mitigate competitive pressures and decrease the potential of a catastrophic event, writes Amanda Taub for The New York Times. “If the players, including companies like OpenAI and Anthropic, can see that no one is racing into dangerous territory, they will have less motivation to do so themselves, the paper reasons,” explains Taub.  

Prof. Dennis Whyte, co-founder of MIT spinoff Commonwealth Fusion Systems, joins GBH’s Hakeem Oluseyi, host of “Particles of Thought,” to discuss the future of fusion technology, which he describes as “the engine of the universe.” The energy power density of fusion “is about ten million times higher than gasoline,” says Whyte. “The cost and the accessibility to it [fusion] is not driven by access to fuel, but to the technology and the manufacturing capability of building the objects that would actually deliver fusion. We need a new discipline to tell us about what that is going to cost as a practical energy source—which we are starting to do now.”  

In an opinion piece for The Wall Street Journal, Gabriele Mazzini, a research affiliate at the MIT Media Lab, explains why “policymakers and voters need to resist AI exceptionalism” amidst recent warnings of a potential AI apocalypse. “There is no sentient [AI] actor lurking in the weights to be reasoned with, feared or pacified,” writes Mazzini. “There are only human software engineers, product managers and corporate boards deciding which guardrails are worth the latency cost and which permissions can be skipped in the race to market.” 

MIT researchers found that AI assisted work leads to the ‘diversity collapse’ of a brand’s voice, and users that rely on AI to do their thinking lose skills over time, highlights Forbes’ Michelle O'Connor. “Judgment, taste and the instinct to catch when something’s off isn’t a soft skill you can afford to lose,” writes O’Connor. “The MIT data is the first hard evidence of that.” 

In his latest book, “Disposable Workers: The Transformation of Employment,” Prof. Emeritus Paul Osterman finds that 35% of the U.S. workforce is made up of disposable workers hired with the “implicit understanding that they won’t be around for long,” writes Fortune’s Nick Lichtenberg. Employers “do not invest in the great bulk of their workforce” in the way that they used to, says Osterman.  

Prof. Daron Acemoglu discusses the impact of AI models on jobs in an article by CNBC’s Trevor Laurence Jockims. “If AI continues to be developed as an automation technology, there will be more impacts. Right now, we don’t have many easy-to-use applications relevant for a large number of tasks/industries,” says Acemoglu. “Once these are developed, the labor market effects will be multiplied.”  

Akamai will honor their late cofounder Danny Lewin SM ’98, a victim of the American Airlines Flight 11 on 9/11, by illuminating their headquarters in blue the evening of Sept. 11, write Jon Chesto and Shirley Leung for The Boston Globe. “Lewin remains revered at Akamai; its highest employee award is given out each year in his honor,” Chesto and Leung write.  

Sloan Senior Lecturer Jonathan Ruane joins Carmel Crimmins, host of Reuters’ “Econ World,” to discuss the future of quantum computing. “By 2035 I would not be surprised if you’re seeing some elements of the economy—whether that be firms within drug research for example, using, for certain applications, quantum computers as part of their overall process,” says Ruane.  

For The Next Big Idea Club, Prof. Paul Osterman outlines the pillars of his new book, “Disposable Workers: The Transformation of Employment.” “The rise of disposable work is allowing companies to gain flexibility and cut costs while shedding responsibility for their workers,” writes Osterman. “We need guardrails to keep that flexibility from coming at the expense of workers and the public.” 

Prof. Paul Osterman speaks to Fortune’s Nick Lichtenberg about how his new book “Disposable Workers: The Transformation of Employment” explores how a perceived lack of ambition among Gen Z reflects the decreased amount of job security and opportunity available to young workers. “No one has job security anymore, but these folks [disposable workers] are hired with that expectation and are not going to be around for long,” says Osterman.

The Financial Times’ Anjana Ahuja spotlights research led by Prof. Dennis Whyte on the economics of fusion energy. “Economic Q, the metric devised by Whyte and others and which must exceed one to represent net economic gain, compares the capital gained over a fusion energy plant’s lifetime to that expended,” writes Ahuja. “Factors reflect the extreme engineering involved and include construction costs, component durability and the efficiency of converting fusion power into a commodity.” 

MIT researchers have developed a framework to determine what is needed to make fusion energy commercially viable, writes World Nuclear News (WNN). “The parameters in the framework describe engineering features of the fusion power plant such as power density, the efficiency of converting fusion power into an economic product, and the durability of components used in the energy conversion, in addition to costing and market parameters that assess the expenses and returns from invested capital,” explains WNN.  

Prof. Dennis Whyte and Prof. Andrew Lo have built a framework to mitigate the economic challenges of fusion power, writes Interesting Engineering’s Ameya Paleja. “While there are multiple approaches to building a nuclear fusion facility, Whyte and colleagues believe that at the end of the day, the facility should be in a position to generate more money that has gone in to building and operating it, otherwise it won’t last for long,” writes Paleja.