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Reuters reporter Felix Martin highlights Prof. Daron Acemoglu’s research demonstrating how AI may not help improve productivity in the developed world. Acemoglu has found that broad productivity growth from reasonable estimates of AI replacing humans in the workplace “would increase by only around half a percentage point over 10 years. That is barely a third of the ground lost since 2008,” Martin explains.
Prof. Daron Acemoglu speaks with Greg Rosalsky of NPR’s Planet Money about AI’s potential effect on jobs, specifically the translation business. “I think how good AI has become is often exaggerated,” says Acemoglu. “But there is pretty much nothing that humans do as meaningful occupation that generative AI can now do. So in almost everything it can at best helps humans, and at worst, not even do that.”
Researchers at MIT and elsewhere have “outlined the costs and benefits of artificial intelligence in health care, education and the workforce,” reports Ruth Reader, Daniel Payne, and Carmen Paul for Politico. The researchers say “policymakers should study the real-world implications of the technology and consider using AI to inform policy,” writes Politico.
Researchers at MIT have discovered the composition of primordial black holes, “potentially discovering an entirely new type of exotic black hole in the process,” reports Jacopo Prisco for CNN. “We were making use of Stephen Hawking’s famous calculations about black holes, especially his important result about the radiation that black holes emit,” says Prof. David Kaiser. “These exotic black holes emerge from trying to address the dark matter problem — they are a byproduct of explaining dark matter.”
Prof. Christopher Palmer joins Infotrak host Chris Witting to discuss his recent study that found logistical assistance increases the likelihood that low-income families will move to neighborhoods that offer better economic opportunity. Palmer and colleagues asked “how come more people with vouchers aren’t availing themselves of the opportunity to move to better neighborhoods? That was a prime motivation for our study.”
Prof. Sherry Turkle warns against AI systems that simulate deceased partners, making it hard for the bereaved to “let go,” reports Dan Milmo for The Guardian. Breakthroughs in generative AI are enabling realistic conversations, but experts harbor concerns about the vulnerability of users and lack of regulation. “It’s something we are inflicting on ourselves because it’s such a seductive technology,” Turkle says.
Researchers at MIT have “analyzed how primordial black holes with a trait known as color charge could have formed in the soup of particles that composed the early universe,” reports Leah Crane for New Scientist. “They’re not really colors,” explains Prof. David Kaiser. “If we zoomed in with a microscope we wouldn’t see colors with our eyes, but it’s a way of accounting for the fact that nature seems to only allow color-neutral combinations.”
A new paper by Prof. Daron Acemoglu and Prof. Simon Johnson uses the impact of automation in the textile industry to predict potential similar effects from AI, writes Bloomberg’s Andy Mukherjee. Noting the parallels between the Indian textile industry and disruption currently underway in tech outsourcing, the economists write “the impact of automation on workers today is more complex than an automatic linkage from higher productivity to better wages.”
Brandon Hanks, a software developer with MIT’s Department of Comparative Media Studies/Writing, speaks with Wall Street Journal reporter Sarah Needleman about how Gen Z is putting their own spin on the heart sign. Hanks notes that “it looks more difficult” to master than the Millennial version—“and it is!”
MIT is the world’s No.1 university for the 13th year in a row, according to the latest global university rankings from publisher QS Top Universities.
New York Times columnist Thomas Edsall spotlights recent research by Profs. Daron Acemoglu, David Autor and Simon Johnson, in which they explore whether artificial intelligence could be a beneficial tool for workers. “It is quite possible to leverage generative AI as an informational tool that enables various different types of workers to get better at their jobs and perform more complex tasks,” explains Acemoglu. However, he notes “to turn generative AI pro-worker, we need a major course correction.”
Prof. Daron Acemoglu’s new study projects just mild economic upside in the U.S. stemming from AI advancement, writes Business Insider’s Filip De Mott. According to Acemoglu, AI-led U.S. GDP growth in the next 10 years will rise just 0.93% to 1.16%, due to uncertainty on how much AI can really advance total factor productivity.
Financial Times reporter Robin Wigglesworth spotlights Prof. Daron Acemoglu’s new research that predicts relatively modest productivity growth from AI advances. On generative AI specifically, Acemoglu believes that gains will remain elusive unless industry reorients “in order to focus on reliable information that can increase the marginal productivity of different kinds of workers, rather than prioritizing the development of general human-like conversational tools,” he says.
Writing for the Financial Times, Jon Hilsenrath revisits lessons from the occupational shifts of the early 2000s when probing AI’s potential impact on the workplace. He references Prof. David Autor’s research, calling him “an optimist who sees a future for middle-income workers not in spite of AI, but because of it…creating work and pay gains for large numbers of less-skilled workers who missed out during the past few decades.”
Prof. David Autor is a guest of Meghna Chakrabarti on WBUR’s On Point, discussing his research on the potential impact of AI on the workforce. Autor says “AI is a tool that can enable more people with the right foundational training and judgment to do more valuable work.”