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In The Boston Globe’s “Starting Point Newsletter,” reporter Anna Kusmer features Prof. Sherry Turkle’s insights from her latest book “Artificial Intimacy: Who We Become When We Talk to Machines,” including the risks that AI companionship poses to school-aged children. “Children are bringing the world inside; they’re bringing the people around them inside them to create an inner life,” says Turkle. “And when you talk to a chatbot, there is nothing to bring inside. There is no caring person.” 

Financial Times reporter Clive Cookson details how the late Margaret Hamilton engineered code that would play a crucial role in achieving the first moon landing, at MIT’s Instrumentation Lab. When Apollo 11’s onboard computer flashed alarms minutes from landing on the moon, “Hamilton and colleagues had engineered the software to dump non-essential background tasks under those circumstances and prioritize procedures needed for the landing,” writes Cookson. “NASA controllers in Houston trusted the software, so they decided not to abort the mission, allowing Neil Armstrong and Buzz Aldrin to touch down safely in their Eagle module.”  

Fast Company’s Adele Peters highlights Firma Power, a clean energy developer co-founded by MIT alumni aimed at working with data centers to use clean alternatives to gas power. “We started the company with the hypothesis that despite the fact that 98% of what’s in the queue is wind, solar and storage, that’s not getting tapped as the default path to power for large loads—so there’s got to be some market frictions and barriers there,” says Jesse Jenkins SM ’14, PhD ’18.  

Research Affiliate Paul Kedrosky joins The New York Times’ “The Ezra Klein Show” to discuss how the development of AI is creating an economic bubble, where asset prices are detached from economic reality. “We’re building it [AI] out like we were the railroads, like we were electrification, like we were the canals, like we were the interstate highways. And every one of those moments has led to overbuild,” says Kedrosky. “The reality is we’ve never seen a general-purpose technology that had such broad applicability, was adopted so quickly and was repricing labor at the same time.”  

Prof. Emilio Castilla discusses the factors companies must consider when deploying AI to help in the hiring process, in an article by USA Today’s Greta Reich. “We should evaluate not only whether the algorithm predicts historical hiring decisions, but whether it helps identify candidates who subsequently perform well in the job,” writes Castilla. “The most exciting possibility is not simply that AI might help us find the best talent more efficiently. It is that AI might help us recognize talent that our traditional hiring practices have systematically overlooked.”  

Prof. Jacob Andreas speaks with CNN’s Lisa Eadicicco about deciphering the chain-of-thought behind complex AI neural networks. “I think we’re still very far from being able to claim that we have any sort of fine-grained understanding of how the model is actually arriving at a solution,” says Andreas.  

Prof. Sherry Turkle joins The Boston Globe’s Anna Kusmer, host of the “Say More” podcast, to discuss how AI chatbots can significantly deskill school-aged children, as detailed in her latest book, “Artificial Intimacy: Who We Become When We Talk to Machines.” “People in the thick of this know it is not good for children, it’s a deskilling,” says Turkle. “If your chatbot reads for you, you don’t learn to read, you learn to listen to a podcast about a book, if your chatbot writes for you, you don’t learn to think, because thinking is writing, you learn to sort of edit your chatbots ideas: you learn to prompt.”  

Writing for Nature, Deputy Editorial Director Maia Weinstock honors the life and legacy of the late Margaret Hamilton, a pioneer of the software engineering field, who, at MIT’s Instrumentation Lab, led the team that wrote and tested software for the Apollo Guidance Computer onboard Apollo 11. Hamilton’s story “was also my inspiration for one of the vignettes in a Lego set that I created in 2016, featuring Hamilton and several other women in NASA history,” writes Weinstock. “She continued work at [her Universal Systems Language company] Hamilton Technologies well into her 80s, never failing to inspire me and countless others with her tenacity, humour, warmth and childlike wonder.”

Washington Post reporter Ariana Eunjung Cha spotlights Prof. Pattie Maes’ research at the intersection of AI and memory, including her wearable AI devices designed to assist older adults that “capture pieces of everyday experience and make them retrievable later.” Maes’ research “takes on particular urgency for people with Alzheimer’s disease and other forms of dementia, diseases defined by memory loss that can rob a person’s ability to navigate everyday life independently,” writes Eunjung Cha.  

Prof. Daron Acemoglu joins CNBC’s “Closing Bell” to discuss how AI could cause mass job displacement due to companies deploying rapidly advancing technologies. “AI’s capabilities are real and powerful, but human jobs are also complex. I don’t think you want AI to take over air traffic controller jobs right now; you don’t want AI to do CEO jobs,” says Acemoglu. “What we are seeing when these models escape their sandboxes and create havoc—it's not that they are necessarily super intelligent, it is that they don’t have judgement and they are optimized for certain narrow metrics and when you let them loose, they are going to do lots of unforeseeable things. You don’t want that in many jobs.”  

Prof. Behnaz Farahi’s “Ocean of Dreams,” an interactive art installation currently on display in Kendall Square that features submissions from more than 400 international participants, is featured by Dezeen reporter Ben Dreith. “For me, design is ultimately a way of asking: what could be otherwise, and how might we help bring that possibility into being,” says Farahi. “That is also how I think about ‘Ocean of Dreams,’ as a space for collectively imagining and designing possible futures.”  

Prof. Ankur Moitra and Prof. John Urschel share their thoughts with Forbes’ Alex Knapp about OpenAI releasing more than 700 math preprint papers online. “We’re used to landmark results being accompanied by new insights and theories,” writes Moitra. “But these feel different. The claims are spectacular, the papers are incomprehensible and there’s no punchline in sight that explains why the mysteries suddenly unraveled.” Adds Urschel: “It’s obvious that how we do and evaluate mathematics is going to have to change. What I think is constant is the fundamental idea of understanding that underpins our profession. And I’m excited to learn from these breakthroughs.”