Artificial intelligence

In an interview with Bloomberg, Prof. Justin Solomon discusses how mathematicians are responding to advances in AI in the wake of an AI platform solving the Navier-Stokes problem. “The really interesting part [of proof writing] is the modeling and figuring out which questions to ask and what insights they bring us to the universe, and the AI tools are not doing that,” says Solomon. “Writing the prompts is very much what we’ve been teaching our students to do for centuries now, and that skill, I think, persists.” 

Prof. Virginia Vassilevska Williams speaks to the Scientific American’s Peter Hall and Joseph Howlett about AI assisting in faster matrix multiplications. “Matrix multiplication is needed all over the place,” says Williams. “But also, its complexity is one of the great mysteries in computer science. In a maybe diabolical sense, the advance on matrix multiplication can be seen as an attempt by the LLMs to speed themselves up.”  

TechCrunch’s Amanda Silberling highlights Tony Fadell, the “father of the iPod,” and Designer in Residence at MIT’s Morningside Academy for Design, exploring what he learned from working with the first wave of agentic AI technology, in his presentation at the inaugural MIT Future Fest. “It took me a couple of years first to understand how best to utilize [an assistant], and then to trust them with the most sensitive data, and have them be an agent where they’re setting up meetings with people,” says Fadell. “Trust and safety are going to be paramount with anything that we turn over to some kind of intelligence.” 

With help from an artificial intelligence algorithm, MIT researchers have formulated heat-resistant mRNA COVID vaccines that “remain stable even when stored at room temperature for up to a year, or at nearly 100 degrees Fahrenheit for two months,” writes Nancy Lapid for Reuters. The heat resistance shots “would lower costs and make them [COVID vaccines] available in regions where ultra-cold storage is not possible,” Lapid notes.  

Forbes’ Rashi Shrivastava highlights MIT spinout Liquid AI, which is building “liquid neural networks that process data more efficiently and don’t need expensive chips stored in data centers.” Shrivastava writes, “Liquid AI’s models are small enough that they can run directly on laptops and phones. There’s no cost to host them.”  

Prof. Eric So joins Bloomberg’s “Businessweek Daily” to discuss his debut book “The Collision: What AI does to us,” which explores the intersection of AI and human cognition. “I think of AI as being a force multiplier, something that can really make us productive, but too often people are focused on just really the capability enhancements of AI without thinking about the other side of the ledger which is: ‘what is it taking from us in that exchange,’” says So. “It matters how we go about using the tool.”  

Prof. Justin Reich speaks to The Boston Globe’s John Hilliard about the implementation of AI in the Boston Public Schools. “There’s a risk of not engaging with AI and being left behind. But there’s also a risk that this is going to be harmful,” says Reich. “There’s no evidence which clearly says that one of these pathways is better than the other.” 

“Structured around key stages in psychological development — childhood, adolescence, love, work, [and] death,” Prof. Sherry Turkle’s latest book, “Artificial Intimacy: Who We Become When We Talk to Machines,” “argues strongly that our new ‘posthuman conversational partners’ [AI chatbots] are inadequate companions for life’s journey,” writes reporter Becky Hogge for the Financial Times. “The more we recognize our vulnerability to the virtual, the more we’ll be able to commit to the real,” explains Turkle. We need to “reinvent sociality.”  

In an interview with CBS News’ “60 Minutes,” Prof. Daron Acemoglu discusses his views on AI and how the technology could lead to worker displacement, without intervention. Concerns about AI and the labor market “should move us into thinking about what we can do because there is a lot we can do,” says Acemoglu. "Because the future is so uncertain, because the future is so much subject to our choice and agency, it is all the more important that we have this discussion." 

On Slate’s “What Next: TBD” podcast, Prof. Sherry Turkle explains the current “state of emergency” brought on by humans seeking connection with AI chatbots, detailed in her latest book “Artificial Intimacy: Who We Become When We Talk to Machines.” In conversations with chatbots “empathy is undermined and our capacity for relationships with other people is undermined,” says Turkle. “It’s an emergency because empathy and our capacity for relationships with other people is what makes us human, and you can’t just have that deteriorated.”  

Prof. Sherry Turkle joins Tracey Follows, host of “Me:chine Dialogues,” to discuss issues with AI companionship, as described in her latest book “Artificial Intimacy: Who We Become When We Talk to Machines.” “Chatbots are not interested that there's no water to drink, or that the weather is crazy, or we can't live in the heat, or the garbage isn't picked up,” says Turkle. “They don't live in that world. So the world needs you. Reality needs you. The idea that you're sitting there being told you're the greatest, you're wonderful, you're fantastic, by a thing that isn't a person: that's a corporate endgame.”

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.  

MIT researchers have developed Ataraxos, an AI system capable of winning the challenging game Stratego. The system could one day help decision makers with real-world problems that involve hidden information, reports Jacek Krywk for Ars Technica. “Board games have fixed rules and clear winners, while real-world problems like negotiations, financial markets, or military conflicts usually don’t,” writes Krywk. “But the Ataraxos team argues the gap is smaller than it looks, since tackling any real problem starts with building a simplified model of it.” 

For The New York Times, reporter Jennifer Szalai reviews Prof. Sherry Turkle’s latest book, “Artificial Intimacy: Who We Become When We Talk to Machines,” about “the acceleration of human attempts to seek connection with chatbots.” “We have invited them [AI chatbots] not just into our homes but into some of the most private recesses of our emotional lives,” notes Szalai. “When people talk about how relaxing it is to talk to a chatbot, it’s because the real slips away,” writes Turkle in her book.  

Prof. Samuel Madden joins Tiziana Dearing, host of WBUR’s “Morning Edition,” to discuss the findings of MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training. “Cognitive surrender is the idea that people come to rely too heavily on these AI tools for their learning and they start outsourcing the critical thinking and the development of the foundational tools they think they need to succeed in life, to these AI tools,” says Madden. “It’s not just writing, but we see this [cognitive surrender] in our courses as well.”