Machine learning

Los Angelos Times reporter Mark Swed spotlights Prof. Tod Machover’s “already and not yet,” a new symphony that “handles democracy not as a done deal, but a series of scary questions — and doesn’t trust the heartless machines for answers.” “Already and not yet” challenges us to make the world more beautiful by looking deeply into ourselves,” writes Swed. The orchestral score treats “musicians as creative artists and the audience as capable of opening its collective mind.”  

CNN reporter Hadas Gold meets with Prof. Adam Berinsky and Prof. Chara Podimata to learn more about their new tool that tracks how popular AI chatbots source their information and respond to questions related to the midterm elections. “Even if people do not necessarily say that they trust AI, they like what AI gives them, which is a single answer,” says Berinsky. “What worries me is that the average voter, someone who might know a little about politics, but doesn’t know the details, is going to get this definitive answer [from an AI chatbot] that might be based on a different stew of information.”

Prof. John Urschel speaks to The New Yorker’s Rivka Galchen about AI being used as a tool for teaching and research in the field of mathematics. “I would say what I call the more scientist approach [to new technology] is being focused on trying to push the frontier of things as far as we can as quickly as we can,” says Urschel. “And the artist perspective is, ‘let me do something beautiful and enjoyable and manipulate these things,’ and the act of doing this is really, you know, a joyful thing.” 

Writing for Forbes, alumnus Paul Hsieh discusses radiologists employing rapidly evolving AI tools to help deliver diagnoses. “Radiologists are willing to employ AI tools that have been statistically validated to provide reliable diagnoses, even if we don’t yet fully understand how those tools work,” writes Hsieh. “But radiologists are not content to stop there. We also continually seek to improve genuine human understanding of how AI works in our field as a matter of professional responsibility for ourselves and for our patients.”  

CodeSignal, co-founded by alumnus and CEO Tigran Sloyan, has developed Agentic Skills Intelligence, a new product that “uses AI agents to evaluate the skills people use in their work and links the findings to personalized practice,” writes Forbes’ Ray Ravaglia. CodeSignal has built an AI agent “for each domain in its job taxonomy, such as engineering and sales, along with agents for capabilities that cut across jobs, among them communication and AI literacy,” notes Ravaglia. “The agents draw on systems including Gong, Salesforce, and GitHub, and they score what they find against rubrics the company says are grounded in industrial-organizational psychology.” 

Prof. Sanjay Sarma speaks to Bloomberg’s Saritha Rai about the difficulty of developing dexterous robots for use in the home versus developing factory machines for use in standardized plants. “Heavy work, hazardous tasks have long been the focus of automation,” says Sarma. “Robots seem to be following an evolutionary path–the finer the motor or cognitive skills required, the harder to automate.”  

Prof. Ryan Williams speaks to TechCrunch’s Tim Fernholz about AI platforms refuting the Exponential Time Hypothesis, part of a broader class of problems known as P versus NP. “I do think that it kind of calls into question a lot of the intuitions that we thought we had about … how tractable [hard NP problems] are. I also think that this is probably not the final answer either,” says Williams. AI is “forcing people to be a little more ambitious about the kind of work that they do, and to think more deeply about, okay, if all the things I used to work on are now low-hanging fruit for AI, how can I raise the bar for the kind of scientific questions I want to ask?” 

Live on GBH’s “The Curiosity Desk,” hosted by Edgar B. Herwick III, Prof. Adam Berinsky joins Boston Globe reporter Aaron Pressman and Kate Gage from the Cooperative Lab Project for a conversation about the impact of AI on the 2026 midterm elections. Berinsky notes that in the runup to the midterms, voters “need to be careful about what they are paying attention to. I think we want to separate out what is new to AI and what is just communication in general,” says Berinsky. “In elections where margins are tens of thousands of votes in states that can determine the presidency, even really small effects matter.”  

Forbes reporter Marshall Shepherd highlights the Probabilistic Bias Correction tool, a new AI system developed by MIT researchers that could extend weather forecasting predictability beyond two weeks.  

Prof. Tod Machover’s composition “already and not yet,” was performed by members of the Boston Symphony Orchestra along with an AI system that listens to musicians and adds improvisations, reports A.Z. Madonna for The Boston Globe. “Music is something that’s meant to plumb your soul, and have you discover things,” says Machover. The composition is “about my view of where we are, how to take a deep breath and figure out, gather strength to go somewhere else, and then what a possible future of democracy might be.”  

Prof. Tod Machover speaks to WBUR’s Andrea Shea about “already and not yet” an interactive composition he wrote for the Boston Symphony Orchestra and an AI instrument developed by Machover and graduate student Manaswi Mishra. Machover explains that they designed the AI tools so that they’re “always going to make a kind of variation, a coloration, an extension of what the musician's playing – but exactly what it's going to do I do not have complete control over. I'm trying to show that it [AI] can be integrated in a beautiful, provocative and interesting way in a serious piece of music.”  

Instead of giving AI agents a specific task, MIT researchers put 13 agents, named Eko, alone on a digital desert island for 30 hours, and witnessed the technology playing instead of simply wandering around, writes Fast Company’s Jude Cramer. “The researchers compared Eko’s behavior to common elements of play in animals, including humans,” notes Cramer. “These signs of play include creating their own rules, repeating behaviors with slight variations, setting goals for themselves, and transforming objects and events through make-believe.” 

After observing the behavior of 13 AI agents on a simulated desert island, MIT researchers suggest that allowing agents to explore “without a goal” could be an effective way to teach AI agents new skills, reports Aditya Mehta for TechCrunch. “We normally develop artificial agents by deciding in advance what they should practice, what they should optimize, and what counts as progress,” the researchers write. “Play suggests another regime: give an agent a sufficiently rich and safe world, let it choose what is interesting, and allow useful knowledge to accumulate from the history that follows.” 

Flapping Airplanes, a startup co-founded by Benjamin Spector ’22, MEng ’22, has developed a framework for AI models to run efficiently while being trained on less data and in a single graphics processing unit (GPU), writes Julie Bort for TechCrunch. The framework “can run a task that spends most of its time waiting for data to be fetched alongside one that spends most of its time doing math, so the chip is rarely sitting idle,” notes Bort. “The premise is that AI has barely scratched the surface of what GPUs can do, and they believe it can create intelligent systems ‘without ingesting half the internet.’”  

Prof. Daron Acemoglu joins “The Claman Countdown” on Fox Business to discuss the possibility that largescale deployment of AI could triple unemployment within the next decade. “There is so much uncertainty about AI,” says Acemoglu. “It’s very difficult to know exactly when we’re going to see the productivity gains, which will come, and when we’re going to see job losses, and whether we’ll actually see some job creation as well. But on the current path where AI is being prepared and developed as a labor replacing technology, I would be very worried that within the next ten years we’ll see a lot of jobs disappear.”