Computer science and technology

Two new research papers by scientists from MIT and other institutions find that AI chatbots are successful at shifting the political beliefs of voters, and that the “most persuasive chatbots are those that share lots of facts, although the most information-dense bots also dole out the most inaccurate claims,” reports Sarah Kuta for Smithsonian Magazine. “If you need a million facts, you eventually are going to run out of good ones and so, to fill your fact quota, you’re going to have to put in some not-so-good ones,” says Visiting Prof. David Rand. 

MIT is “taking a quantum leap with the launch of the new MIT Quantum Initiative (QMIT), reports State House News reporter Katie Castellani. “There isn't a more important technological field right now than quantum with its enormous potential for impact on both fundamental research and practical problems,” said President Sally Kornbluth during the launch event. “QMIT will help us to ask the right questions, identify the most critical problems and create a roadmap for developing quantum solutions that are both transformative and accessible.” 

Fortune reporter Orianna Rosa Royle spotlights Luana Lopes Lara '18, co-founder of Kalshi, a company that allows users to bet on the outcome of events, such as “elections, sports matches, and pop culture happenings.” Rosa Royle details Lopes Lara’s journey establishing Kalshi with her co-founder Tarek Mansour ’18, MNG ’19. 

A new study by MIT researchers has found that “AI chatbots were surprisingly effective at convincing people to vote for a particular candidate or change their support for a particular issue,” reports Alex Wilkins for New Scientist. “Even for attitudes about presidential candidates, which are thought to be these very hard-to-move and solidified attitudes, the conversations with these models can have much bigger effects than you would expect based on previous work,” says Visiting Prof. David Rand. 

Researchers at MIT and elsewhere “examined how popular chatbots could change voters’ minds about candidates in the United States, Canada and Poland,” reports Will Oremus for The Washington Post. 

Luana Lopes Lara ’18 and Tarek Mansour ’18, MNG ’19 co-founded Kalshi, a company that allows “users to bet on the outcome of future events such as elections, sports games and pop culture happenings,” reports Alicia Park for Forbes. Lopes Lara chronicles her journey from her time on stage as a professional ballerina in Austria to her years as a student at MIT to her entrepreneurial ambitions.

Forbes contributor Bryan Penprase spotlights several MIT initiatives aimed at fostering human-centered AI literacy. Penprase notes that MIT’s Responsible AI for Social Empowerment and Education (RAISE) initiative “has developed tools for K-12 educators that integrate hands-on AI and robotics experience while emphasizing responsible AI use. MIT’s annual AI Education Summit gathers thought leaders from around the world to discuss AI usage, and MIT’s Advancing Humans with AI (AHA) initiative addresses how humans respond to AI systems as both an engineering challenge and a human design problem.”

Time reporter Brian Elliott spotlights Prof. Zeynep Ton’s comments at a recent conference regarding the importance of businesses having an employee-focused strategy when implementing new AI tools. “The status quo mindset in leaders is to see labor as a cost to be minimized,” Ton explains. “Exemplary companies think of employees as drivers of customer satisfaction, profitability and growth.”

New York Times reporter Annabel Keenan highlights the “Remembering the Future” exhibit at the MIT Museum, a sculptural installation created by Janet Echelman that uses “climate data from the last ice age to the present, as well as projected future environments, to create a geometric design.” Echelman worked with MIT faculty, including Prof. Raffaele Ferrari and Prof. Caitlin Mueller, to bring the project to life. Mueller explains that she developed a “high-fidelity digital twin of the sculpture generated through our computational simulation that you can orbit and pan through to get perspectives that you can’t see physically in the space.” 

Vertical Semiconductor, an MIT spinoff, is working to “commercialize chip technology that can deliver electricity to artificial intelligence servers more efficiently,” reports Stephen Nellis for Reuters. “We do believe we offer a compelling next-generation solution that is not just a couple of percentage points here and there, but actually a step-wise transformation,” says Cynthia Liao MBA '24.

Graduate student Chung-Tao (Josh) Chou speaks with Tech Briefs reporter Andrew Corselli about his work developing a magnetic transistor that could lead to more energy-efficient circuits. “People have known about magnets for thousands of years, but there are very limited ways to incorporate magnetism into electronics,” says Chou. “We have shown a new way to efficiently utilize magnetism that opens up a lot of possibilities for future applications and research.”

Researchers at MIT have studied how chatbots perceived the political environment leading up to the 2024 election and its impact on automatically generated election-related responses, reports Patrick Kulp for Tech Brew. The researchers “fed a dozen leading LLMs 12,000 election-related questions on a nearly daily basis, collecting more than 16 million total responses through the contest in November,” explains Kulp.  

Prof. Steve Leeb and graduate student Daniel Monagle speak with Tech Briefs reporter Edward Brown about their work “designing an energy management interface between an energy harvesting source and a sensor load that will give the best possible results.” Monagle notes that in the future they hope to make the system “smaller so that it can fit in tight places like inside a motor terminal box. But beyond that we want to take advantage of AI tools to design techniques for minimizing the energy used by the system.” 

Prof. Daron Acemoglu speaks with Financial Times reporters Claire Jones and Melissa Heikkilä about the economic implications of the AI boom. “There is a lot of pressure on managers to do something with AI… and there is the hype that is contributing to it,” says Acemoglu. “But not many people are doing anything super creative with it yet.” 

Researchers at MIT have developed magnetic transistors, “which could enable faster and more energy-efficient semiconductors,” reports Alex Knapp for Forbes. “Researchers have been trying to use magnets this way for years, but the materials used so far haven’t been optimal for computing functions,” explains Knapp. “That changed after experimenting with chromium sulfur bromide, which replaces the silicon in a conventional microchip and enables the transistors to be switched on and off with an electric current.”