USA Today reporter Eric Lagatta writes that a new study by MIT researchers finds that X-ray flashes emanating from a supermassive black hole located 270 million light-years from the Milky Way could be caused by a dead stellar remnant, or white dwarf. The researchers believe that the white dwarf could be “spinning precariously on the edge of the black hole, causing the explosions of high-energy light.”
Space.com reporter Robert Lea writes that using the XMM-Newton X-ray telescope, MIT astronomers have observed bursts of X-rays erupting with increasing frequency from a supermassive black hole, a behavior they think could be caused by a “dead stellar core, or white dwarf, daringly teetering on the edge of the black hole.” Lea explains that “if the source of these strange episodes is a finely balanced white dwarf, the researchers theorize that it could be detected using ripples in space and time called gravitational waves emitted from the system.”
Graduate student Shomik Verma writes for Newsweek that “we need systemic change to ensure our individual climate actions aren't going to waste. If you're serious about fighting climate change this year, instead of recycling more, consider shifting focus to policy support and investments.” Verma adds: “if we advocate for change at the federal and state level, we can build an effective bridge between our individual actions and the change we want to see in the world.”
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."
Quanta Magazine reporter Charlie Wood spotlights how MIT researchers have contributed to the recent discoveries of new superconductive materials. Prof. Long Ju and his research team “placed a five-layer graphene flake on an insulator at a twisted angle and observed a rare electron behavior that normally requires a strong magnetic field to induce,” explains Wood.
Researchers from MIT and elsewhere have suggested that “the impact of news that is factually inaccurate — including fake news, misinformation and disinformation — pales in comparison to the impact of news that are factually accurate but misleading,” reports Sandra Matz for Salon. “According to researchers, for example, the impact of slanted news stories encouraging vaccine skepticism during the COVID-19 pandemic was about 46-fold greater than that of content flagged as fake by fact-checkers,” writes Matz.
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.
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.”
Forbes reporter Yola Robert spotlights Sloan alumna Mona Patel for her philanthropic work supporting education for girls and underserved communities. “For Patel, her passion for supporting education stems from her experience coming to America as an immigrant student and witnessing how transformational it was for her,” writes Robert.
In commentary for Newsweek, Prof. Sherry Turkle explores the consequences of Facebook’s announcement that the company would no longer conduct fact-checking. “Facebook is a major influencer of culture and politics,” says Turkle. “It did everything to put itself into this position. Once there, to argue that it's not and say that its users are responsible for moving its content in the direction of truth is irresponsible.”
WCVB-TV's Chronicle spotlights Prof. Linda Griffith, “a forerunner in the field of biological engineering,” for her research investigating endometriosis and breaking the stigma around menstruation. Griffith founded the MIT Center for Gynepathology Research in 2009 and “one of their objectives is to help develop ways of staging endometriosis, similar to how cancer is characterized.” Griffith notes that by focusing on menstruation and making it a science, “I think we will really change the game for women.
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.
Prof. David Rand speaks with Wired reporter Brian Barrett about the implications of Meta’s new “community notes” system in addressing bias on social media platforms. “The motivator for all of this changing of Meta’s policies and Musk’s takeover of Twitter is this accusation of social media companies being biased against conservatives,” says Rand. “There’s just not good evidence of that.”
Researchers at MIT and elsewhere have found “that investors who use OpenAI’s GPT-4o to summarize earnings calls realize higher returns than those who don’t,” reports Kyle Wiggers for TechCrunch. “The researchers recruited investors and had GPT-4o give them AI summaries aligned with their investing expertise,” explains Wiggers. “Sophisticated investors got more technical AI-generated notes, while novices got simpler ones.”
A new tabletop exercise, developed by researchers at MIT and the Center for Strategic and International Studies (CSIS), has found that “a further buildup of U.S. nuclear capabilities would have limited effect on whether China might use its own nuclear weapons should a war over Taiwan erupt,” reports Brad Dress and Ellen Mitchell for The Hill. “The first large-scale war game of such an incident,” they write, “found that a U.S. buildup that goes past current modernization plans would not bolster nuclear deterrence in relation to Taiwan.”