More News from IWER
LLMs are manipulating users with rhetorical tricks
According to a recent study by professor Kate Kellogg and co-authors, we might be overestimating our ability to spot check the content that LLMs produce — and underestimating how vulnerable we are to being manipulated by them. "We need to shift from thinking about LLMs as over‑agreeable followers to recognizing them as interaction‑sensitive persuaders that can resist, redirect, and overpower human judgment," said Kellogg in this Q & A interview.
Otto Scharmer: 'You don't create something new simply by destroying the old: you have to open up spaces for experimentation.'
Senior lecturer Otto Scharmer said: "The most important thing is to be open to something new. Openness is the key skill. Because you don't create something new simply by destroying the old. You have to open up that space to experiment with new ways of working. The key to that, in organizations and societies, is to create small spaces for experimentation."
Highly skilled workers have been training AI — that comes at a cost
Professor Danielle Li wrote: "As workers, people should think about how to use AI to expand their skills: whether by building complementary capabilities or by finding ways to scale their expertise through AI systems. As citizens, they should press for policies that give workers clearer rights over the data generated by their work and compensation for it."
MIT research says one 401(k) mistake costs couples $14,000
Research by assistant professor Taha Choukhmane and co-authors found that many couples fail to direct their 401(k) contributions toward the spouse with the better employer match. "By not focusing on the highest match, couples may sacrifice an average of $14,000 in retirement wealth over their lifetime, which may climb to as high as $40,000 in additional wealth at retirement for 10% of couples," said Choukhmane.
The human edge: Why culture is an organization's competitive advantage
According to research by professor Roberto Rigobon and postdoctoral researcher Isabella Loaiza, the five capabilities where human workers shine and AI faces limitations are empathy, presence, opinion, creativity and hope, which they've captured as the EPOCH Framework. They emphasize the importance of upskilling the workforce on what they call the "fundamental qualities of human nature."
Fed is on hold without Iran timeline clarity
On this episode of Bloomberg's "The Close," senior lecturer Eric Rosengren discussed how the Iran war will impact the upcoming Fed decision, the 2026 rate outlook, and Judge Boasberg's rejection of subpoenas of the Federal Reserve in the Jerome Powell case.
Market concentration: Wall Street debates whether the S&P 500 is in danger
In a recent paper, senior lecturer Mark Kritzman and co-author showed that the number of stocks in the S&P 500 had fallen to near its lowest point since 1998. But they argued that "the U.S. stock market has not become riskier as it has become more concentrated."
2025 Most Disruptive MBA Startups: Otomo Health, MIT (Sloan)
Mike Sanchez (MBA '25) said: "I came to MIT Sloan to pursue my MBA with the intent of founding a company. What I didn't expect was finding my co-founders before I even had a concrete idea. I first teamed up with Kevin Yang (MBA '25) and Kiyo Takanishi (MBA '25) during a pharmaceutical case competition, and we made it into the finals. Through that experience, it became obvious that we worked exceptionally well together. We wanted to build something bigger as a team."
2025 Most Disruptive MBA Startups: GrowthFactor, MIT (Sloan)
GrowthFactor's three cofounders all met during their first semester at MIT Sloan – Raj Shrimali (MBA '25) had been working in machine learning and AI his entire life; Sam Hall (MBA '25) had spent years before school learning how to operate startups; and Clyde Anderson (MBA '25) had spent his entire life working with his retail family business. They decided to apply their collective experiences and what they were learning at MIT to help that family business make better, data-driven decisions.
Scientists create AI tools to detect intimate partner violence early
Professor Dimitris Bertsimas was part of an interdisciplinary collaboration — including researchers at Mass General Brigham — that led to the creation of innovative machine learning tools capable of identifying individuals at risk of intimate partner violence well before traditional clinical recognition. This breakthrough study illuminates a critical pathway toward proactive intervention, potentially transforming how medical professionals approach one of the most pervasive public health crises globally.