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New Scientist

FutureTech researcher Tamay Besiroglu speaks with New Scientist reporter Chris Stokel-Walker about the rapid rate at which large language models (LLMs) are improving. “While Besiroglu believes that this increase in LLM performance is partly due to more efficient software coding, the researchers were unable to pinpoint precisely how those efficiencies were gained – in part because AI algorithms are often impenetrable black boxes,” writes Stokel-Walker. “He also points out that hardware improvements still play a big role in increased performance.”

Scientific American

Prof. Katharina Ribbeck speaks with Christopher Intagliata of Scientific American’s “Science Quickly” podcast about her research exploring how mucus can treat and prevent disease. “The basic building blocks of mucus that give mucus its gooey nature are these threadlike molecules—they look like tiny bottlebrushes—that display lots and lots of sugar molecules on their backbone,” explains Ribbeck. “And these sugar molecules—we call them glycans—interact with molecules from the immune system and microbes directly. And the exact configuration and density of these sugar molecules is really important for health.”

Nature

Prof. Long Ju and his colleagues observed the fractional quantum anomalous Hall effect (FQAHE) when five layers of graphene were sandwiched between sheets of boron nitride, reports Dan Garisto for Nature. The findings are, “capturing physicists’ imagination because they are fundamentally new discoveries about how electrons behave,” writes Garisto.

Bloomberg

Prof. David Autor speaks with Bloomberg’s Odd Lots podcast hosts Joe Weisenthal and Tracy Alloway about how AI could be leveraged to improve inequality, emphasizing the policy choices governments will need to make to ensure the technology is beneficial to humans. “Automation is not the primary source of how innovation improves our lives,” says Autor. “Many of the things we do with new tools is create new capabilities that we didn’t previously have.”

The New York Times

Prof. David Autor and Prof. Daron Acemoglu speak with New York Times columnist Peter Coy about the impact of AI on the workforce. Acemoglu and Autor are “optimistic about a continuing role for people in the labor market,” writes Coy. “An upper bound of the fraction of jobs that would be affected by A.I. and computer vision technologies within the next 10 years is less than 10 percent,” says Acemoglu.

Politico

MIT researchers have found that “when an AI tool for radiologists produced a wrong answer, doctors were more likely to come to the wrong conclusion in their diagnoses,” report Daniel Payne, Carmen Paun, Ruth Reader and Erin Schumaker for Politico. “The study explored the findings of 140 radiologists using AI to make diagnoses based on chest X-rays,” they write. “How AI affected care wasn’t dependent on the doctors’ levels of experience, specialty or performance. And lower-performing radiologists didn’t benefit more from AI assistance than their peers.”

Salon

Researchers from MIT and elsewhere have isolated a “protein in human sweat that protects against Lyme disease,” reports Matthew Rozsa for Salon. The researchers believe that if “properly harnessed the protein could form the basis of skin creams that either prevent the disease or treat especially persistent infections,” writes Rosza.

Boston Magazine

Boston Magazine spotlights MIT’s leading role in the AI revolution in the Greater Boston area. “With a $2 million grant from the Department of Defense, MIT’s Artificial Intelligence Lab combines with a new research group, Project MAC, to create what’s now known as the Computer Science and Artificial Intelligence Laboratory (CSAIL). Over the next three years, researchers lead groundbreaking machine-learning projects such as the creation of Eliza, a psychotherapy-based computer program that could process languages and establish emotional connections with users (a primordial chatbot, essentially).”

Scientific American

Researchers at MIT and elsewhere have found that high exposure to implausible and outlandish false claims can increase the belief in more ambiguous-seeming ones, reports Chris Stokel-Walker for Scientific American. The researchers “conducted five experiments with nearly 5,500 participants in all in which they asked these individuals to read or evaluate news headlines,” writes Stokel-Walker. “Across all the experiments, participants exposed to blatantly false claims were more likely to believe unrelated, more ambiguous falsehoods.”

NPR

Prof. Arnold Barnett speaks with NPR reporter Juliana Kim about airline safety and the risks associated with flying. According to Barnett, "from 2018 to 2022, the chances of a passenger being killed on a flight anywhere in the world was 1 in 13.4 million. Between 1968 to 1977, the chance was 1 in 350,000,” writes Kim.

Reuters

Will Dunham at Reuters writes about new research from Prof. Evelina Fedorenko and others, which found that polyglots “who spoke between five and 54 languages” used less brain activity when processing their native language. "We think this is because when you process a language that you know well, you can engage the full suite of linguistic operations - the operations that the language system in your brain supports," says Fedorenko.

Boston Herald

Researchers from MIT and elsewhere are investigating the “pathways, risk factors, and molecules” involved in the development of colorectal cancer, reports Rick Sobey for The Boston Herald. “The research team has uncovered contributing causes to this rise in early-onset cases, including: overweight/obesity, physical inactivity, poor diet, and alterations in the gut microbiome,” writes Sobey.