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Physical therapist says one ‘efficient’ daily habit could transform health and longevity
Dr. Milica McDowell, author of the new book "Walk," shared in an interview with Fox News Digital how powerful walking can be.
Waste Watch: How community colleges spent taxpayer-funded mental health recovery dollars
WLOS News 13 provides local news, weather forecasts, traffic updates, notices of events and items of interest in the community, sports and entertainment programming for Asheville, NC and nearby towns and communities in Western North Carolina and the Upstate of South Carolina, including the counties of Buncombe, Henderson, Rutherford, Haywood, Polk, Transylvania, McDowell, Mitchell, Madison, Yancey, Jackson, Swain, Macon, Graham, Spartanburg, Greenville, Anderson, Union, Pickens, Oconee, Laurens, Greenwood, Abbeville and also Biltmore Forest, Woodfin, Leicester, Black Mountain, Montreat, Arden, Weaverville, Hendersonville, Etowah, Flat Rock, Mills River, Waynesville, Maggie Valley, Canton, Clyde, Franklin, Cullowhee, Sylva, Cherokee, Marion, Old Fort, Forest City, Lake Lure, Bat Cave, Spindale, Spruce Pine, Bakersville, Burnsville, Tryon, Columbus, Marshall, Mars Hill, Brevard, Bryson City, Cashiers, Greer, Landrum, Clemson, Gaffney, and Easley.
Quentin Tarantino Warned Brad Pitt 'You'll Be Dead in This Business'
"Brad, what did you just do?" Pitt was allegedly scolded on the set of 'Once Upon a Time in Hollywood,' co-star Bruce Dern says.
CT Department of Correction plans to address healthcare delays
The CT Department of Correction announced a slate of reforms focused on improving the quality of healthcare for people who are incarcerated.
Art Beer & Wine Announces Entertainment Lineup; Seeks Additional Volunteers
Airdate: May 19th, 2026 Boys Golf Cascades Conference Championship, 5-19-26 | Photo GalleryMay 19, 2026JCDOT Progress Report on Airport Road and Bridge ProjectsMay 19, 2026Sheriff’s Department Reports on “Swatting” Incidents; Announces Annual Open HouseMay 19, 2026Art Beer & Wine Announces Entertainment Lineup; Seeks Additional VolunteersMay 19, 2026Jessica Wade & Katie Hosse, Lean Rocket LOCAL Fellows…
Jessica Wade & Katie Hosse, Lean Rocket LOCAL Fellows Launch Business
Airdate: May 19th, 2026 Boys Golf Cascades Conference Championship, 5-19-26 | Photo GalleryMay 19, 2026JCDOT Progress Report on Airport Road and Bridge ProjectsMay 19, 2026Sheriff’s Department Reports on “Swatting” Incidents; Announces Annual Open HouseMay 19, 2026Art Beer & Wine Announces Entertainment Lineup; Seeks Additional VolunteersMay 19, 2026Jessica Wade & Katie Hosse, Lean Rocket LOCAL Fellows…
Alabama city named one of the nation’s 50 best sports business cities
The Sports Business Journal published its fourth annual list.
Houston Texans News: Kayden McDonald ‘Bring[s] Power.“
Your one-stop shop for Houston Texans, local sports, and news from around the league for Tuesday, May 19, 2026.
Kids’ mental health - time to close the gap: Marissa Kiefer
Mental and behavioral health challenges among young people are not rare -- they’re part of life for many families. But at UH Rainbow Babies & Children’s, we’re dedicated to trying new approaches, writes guest columnist Marissa Kiefer, president of University Hospitals' Rainbow Babies & Children’s and MacDonald Women’s hospitals.
Official race results: 2026 NASCAR Cup at Watkins Glen
Shane van Gisbergen earned his seventh career win, beating McDowell and Gibbs at the Glen
Antrim hold on for opening Joe McDonagh Cup win
Antrim are off the mark in the Joe McDonagh Cup with a 1-22 to 4-9 victory over London in Ruislip.
Carlow hold off Down to win in Joe McDonagh Cup
Down suffer their first defeat in the Joe McDonagh Cup as they fall to a 3-17 to 2-17 loss against Carlow at McKenna Park.
Benefits of walking for health and longevity explored by 'Walk' authors
'Fox & Friends' co-host Steve Doocy joins Dr. Courtney Conley and Dr. Milica McDowell to discuss the myriad benefits of walking for health and longevity. They highlight 'Vitamin W' and 'movement snacks' to improve overall wellness.
Dutchess County Department of Health Offers Community Drowning Prevention Seminars to Support Summer Swim Safety
With the summer swimming season quickly approaching, the Dutchess County Department of Health (DCDOH) is hosting a series of Drowning Prevention Seminars to raise awareness about how quickly identify a swimmer in distress.
Summer of STEM adventures awaits at the Saint Louis Science Center
Visit the Saint Louis Science Center this summer and never stop learning! From special exhibition experiences to major upgrades of the James S. McDonnell Planetarium, guests of all ages will have ample opportunities to engage in STEM and spark their curiosity. This season is jam-packed with events, OMNIMAX® Theater films, and much more. The Blue […]
While many international brands retreat, McDonald’s is supersizing its China business
McDonald's plans to have 10,000 locations in China by the end of 2028, and the country is its second largest market.
New OU basketball arena in Rock Creek Entertainment District to break ground
The new home for OU basketball will finally break ground soon. It was announced on Thursday that the Rainier Company, which was hired to build a new Rock Creek Entertainment district, will officially break ground on May 12. OU and the city announced in 2024 their intentions of building a $1.2 billion entertainment district in Rock Creek that would ...
UMB Bank Fiesta Sports Foundation Football Kickoff presented by Fairmont Scottsdale Princess to Feature Mike Gundy and Jack Swarbrick as Keynote Speakers
Former Oklahoma State University head football coach Mike Gundy, a two-time Fiesta Bowl winner and three-time Rate Bowl coach, and past Notre Dame Athletic Director Jack Swarbrick will take center stage to share decades worth of behind-the-scenes anecdotes with the audience at the 2026 UMB Bank Fiesta Sports Foundation Football Kickoff presented by Fairmont Scottsdale Princess as keynote speakers.
What's next for Trevor McDonald after sending message in dominant Giants start?
There were no guarantees for Giants pitcher Trevor McDonald after San Francisco's win over the San Diego Padres on Monday at Oracle Park.
AP Decision Notes: What to expect in Michigan's special election for control of the state Senate
Voters in a competitive Central Michigan district will decide control of the state Senate on Tuesday in a special election to fill the seat last held by Democrat Kristen McDonald Rivet, who's now a congresswoman.
McDonald’s is quietly ditching a popular in-store feature nationwide
McDonald's is quietly ending self-serve soda fountains nationwide, shifting drink prep behind the counter as it modernizes restaurants across the country.
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field ‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field A field that once seemed like a direct path to stable, lucrative work is becoming less certain under AI, students and faculty told Spectator. By Ria Vasishtha and Arjun Menon May 3, 2026 Shanying Liu / Deputy Illustrations Editor Asia Genawi, SEAS ’29, first encountered artificial intelligence during her sophomore year at her high school in Indiana. Back in 2023, policies on AI varied widely—even within the same district—and some schools had no guidance at all. As Genawi began to see the effects of AI trickle into her classroom, she turned to guidance from her home state’s Department of Education, which she said she found “outdated and inaccessible.” Genawi spent the rest of her high school career dedicated to the issue, including writing a 15-page memo exploring varying AI policies across Indiana schools, which she sent to every Indiana state senator and representative whose contact information she was able to find. She later helped draft a bill that would have required public high schools to establish and share their own AI policies with students in an accessible format. But with so many other bills already awaiting referral, hers never made it to committee. When Genawi arrived at Columbia to study computer science, she found that the gaps she had spent years trying to address in Indiana had followed her there. Many students and professors were also grappling with what AI meant for the field. Across Columbia’s undergraduate schools, computer science has become the most popular major—accounting for around 11 percent of degrees awarded in Columbia College, 32 percent in the School of Engineering and Applied Science, and 12 percent in the School of General Studies in 2024. While the number of computer science majors in SEAS grew from 166 to 173 during the 2024-25 academic year, the total number across the three schools fell around 4.5 percent from 393 to 375, driven by declines at Columbia College and General Studies. At Barnard, it has grown to become the second most popular major as of 2025, up from third the year prior. The number of degrees awarded have grown fivefold since 2016. Faculty members and students in the department told Spectator that the surge in the major’s popularity has been driven in large part by its apparent promise of a secure, well-paid career path. However, they noted that the recent rise of generative AI has compromised the sense of stability that once defined the field, even as interest in technical skills among students persists. According to data from the Federal Reserve Bank of New York in 2024, out of 74 majors tracked, computer science had the fifth highest unemployment rate among majors at 7 percent, while computer engineering had the second highest at 7.8 percent. “Anecdotally, people are moving away from CS as a major,” Daniel Bauer, a senior lecturer in the computer science department, said. “They’re still taking some of our classes, right, because they think they need that, but they’re instead majoring in other things.” Bauer described a field that had shifted from what he called a “nerdy outlier discipline” to one that “everyone needs,” a sign that technical skills have become a baseline expectation across industries with the emergence of AI. “A lot of people thought, ‘Oh, it’s a guaranteed path to a stable income. You get a six-figure job right out of your undergrad,’” Bauer said. Now, companies may see AI as a way to reduce demand for entry-level programmers, especially in what he calls “code monkey jobs,” roles where a large number of employees are “just writing out code nine-to-five.” Chris Murphy, a senior lecturer in the computer science department, described the current moment as the convergence of two forces: the downturn of the job market and generative AI coming onto the scene. “Things kind of started to really pick up in 2014, 16,” he said, recalling the years after the weaker 2010 market. Murphy added that this was also a period where “students were getting more experience outside of class than they were inside of class” through internships, jobs, and side projects. Murphy suggested that the earlier momentum helped make computer science feel like both an academic program and a reliable pathway into work. That feeling is harder to sustain now as the industry reconfigures, which is a shift that students are seeing firsthand. Rebecca Yu, SEAS ’27, said that during a recent internship in Big Tech, she saw that “every single tech company was racing to integrate” large language models. She added that her manager said her intern class was the first to complete their assigned projects, which she attributed to the increased efficiency that comes with AI. Frank Liu, SEAS ’29, said that with AI lowering the barrier to coding, companies now expect everyone to write code. “A lot of companies outright say if you’re not using coding in your job, you might get fired for not being productive enough,” Liu said. Yu similarly expressed that students increasingly have to accept AI being a part of industry workflow, adding that many also “make use of it to maximize their productivity.” Richard Li, CC ’28, described a “franticness” among his peers as the pace of change accelerates. He explained how “some new tool” is released regularly, noting that tools rise and fall in prominence within weeks. He has come to believe that he doesn’t need to “match that speed all the time” and keep up with every development. Li has learned that AI tools allow him to “take a breath” and “get back into the loop much easier than before” when he needs to. While some companies specifically target Columbia when hiring, sending representatives to campus career fairs and recruiting large numbers from Columbia, a computer science degree cannot be treated as a static credential, Yu described. “You can’t just get your degree and stop learning after that. You have to always be learning,” Yu said. “That is something you basically have to expect for your job.” AI has not only affected students’ decisions to major in computer science, but also reshaped how the subject is taught. Across departments, faculty members no longer treat work done outside the classroom as a reliable measure of understanding, shifting instead toward in-person exams, quizzes, and attendance checks. While homework once made up as much as 60 to 70 percent of a student’s grade in computer science classes, Murphy said that breakdown has since flipped, with exams and quizzes now accounting for the majority. “The assumption—especially among pessimists—is that they’re using it to do their homework,” Murphy said. “They take the homework assignment. They put it into generative AI. Out comes the solution. Submit solution. The end.” Murphy said that faculty members ranged in their responses from fully prohibiting AI use to actively teaching students how to effectively work with AI. He said he shifted his approach this year after his teaching assistants called his belief that students weren’t using the technology “naïve,” and now permits students to use AI on assignments. His surveys of students in his introductory classes have told a more complicated story than the one so-called pessimists offer: Around 60 to 70 percent of students who reported using AI said they used it to have concepts explained to them, to clarify assignment instructions, to generate test cases, or to create practice questions. “Those are all ways that you might have had a tutor in the past to do that, and now you have this AI essentially as your tutor,” he said. Bauer has taken a different approach, teaching students how to use AI productively without sacrificing the core principles of the discipline. “People who are trained to actually use AI tools productively, while being in charge of designing the overall project, will be very much in demand in the next couple of years,” he said. Over the past year, a working group of computer science faculty has been redesigning the introductory and intermediate programming sequence to integrate generative AI as both a subject and a tool, representatives from SEAS wrote in a statement to Spectator. The effort is “coordinated” across the department, “not course-by-course,” with a systematic assessment of how AI integration is affecting student outcomes underway to shape the next round of changes. The goal, the department explained, is for students to be able to “read, verify, and reason about code, whether they or a model wrote it.” Tony Dear, senior lecturer in the computer science department, is piloting individualized AI feedback in a discrete mathematics course, while a machine learning course is also testing a Socratic AI dialogue system designed to “guide inquiry rather than supply answers,” the statement reads. Beyond individual courses, SEAS funded seven cross-departmental faculty projects in generative AI this past academic year, spanning biomedical engineering, chemical engineering, industrial engineering, and computer science, according to the statement. This phenomenon extends beyond the computer science department. SEAS’ new AI minor, which it announced in November 2025, reflects the University’s attempt to adapt. The minor is specifically designed for noncomputer science majors and aims to provide “essential AI knowledge” while emphasizing practical and responsible use across disciplines, according to the SEAS website. At the center of the minor is AI in Context, a course taught by a team of faculty from the departments of computer science, applied mathematics, philosophy, music, literature, and the Writing Center, the representatives told Spectator. Bauer described it as targeted at students who want to bring AI into fields like economics or biology, rather than as a path into software engineering itself. At the graduate level, SEAS announced a new Master of Science in artificial intelligence in February, with the inaugural cohort starting in the fall. While recognizing how AI has helped them navigate coursework, students also described its rise as isolating, even among members of the Application Development Initiative, one of Columbia’s largest computer science clubs. “As people start to ask AI for questions that they would normally ask students and members, it starts to isolate people” Li said. Alexa Kafka, BC ’27, echoed Li’s sentiment, pointing out that computer science has always been a collaborative discipline with code reviews and pull requests, even as AI makes independent work easier. Despite this, Kafka noted that she hasn’t been to office hours “in at least a year.” Bauer added that faculty are exploring long-term solutions to the assessment problem. “One of the things that we’re trying to do at the department or school level is to maybe move towards computerized testing facilities,” Bauer said, referring to ideas in the department to revitalize computer labs as an alternative to pen-and-paper exams. “We have to accept that this is the reality, for better or worse.” But more exams, students say, does not mean better learning, nor does it reflect how computer science is actually done. “Code is so variable and can be approached in so many directions, there’s never just going to be one correct answer. There can be multiple optimal solutions,” Kafka said. Students also expressed concern that the shift toward exam-heavy grading pulls focus away from the applied, project-based work that better reflects both discipline and industry expectations. ADI has tried to respond more quickly than the curriculum can. Through a vibe coding workshop this past semester, club members said they wanted to help students understand not just that AI exists, but how to use it deliberately. “Vibe coding” refers to the practice of prompting AI to write code for a task or project, and has become widespread enough that ADI felt the gap in formal instruction was worth addressing, according to Sophia Huang, BC ’29. The workshop introduced students to the concept of context engineering, which Shaina Sahu, SEAS ’27, described as not just writing a prompt, but optimizing “the rest of the relevant information that you would feed into the model.” Without that, students said that AI-generated code can fail at scale or introduce difficult-to-detect bugs. Genawi said the shift toward AI has changed what it means to be good at computer science. “I think the shift has kind of gone towards what can you create and what can you do, instead of, what do you know,” she said. Indeed, during ADI DevFest, its annual hackathon, Li said more teams are trying to complete their projects than in years past. While sign-ups have historically outpaced submissions, Li said this is beginning to change because teams “have a tool that completes the vision for them.” While many students see AI as an equalizer that lowers the barrier to entry for coding and technical work, Murphy said it also creates new equity concerns inside the classroom around who can afford stronger tools and who already knows how to use them. “The equity issues I worry about are students who have access to paid versions of things versus free versions of things,” he said. Although popular AI models like ChatGPT and Claude have free versions available, both have paid models that can reach over $100 per month, which output different qualities of code. Murphy also pointed to differences in prior exposure to AI literacy itself. “Students who go to high schools or K-12 education, where they’re taught AI literacy, prompt engineering, context engineering, they understand how to do this, as opposed to students who go to schools who don’t teach that,” he said. “Then they come in, and then they’re somehow expected to know how to use these tools.” For Genawi, those disparities begin long before students arrive on campus. “It’s very interesting to consider how lucky you were geographically,” she said. “To be born where you were is influencing your ability to get access to these spaces.” Students like Yu, though broadly apprehensive about the future of computer science, are not without hope. “I’m optimistic, because I think if you’re truly passionate about CS, there will definitely be a place in the field to do something you want to do,” she said. Senior Staff Writer Ria Vasishtha can be contacted at ria.vasishtha@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Staff Writer Arjun Menon can be contacted at arjun.menon@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Want to keep up with breaking news? Subscribe to our email newsletter and like Spectator on Facebook. Produced with Spectate by Emily Ta
Sony clarifies recent PlayStation DRM update
PlayStation fans and gaming preservations have been alarmed since late last week that a new 30-day timer attached attached to newly-purchased digital games for PlayStation 4 and 5 might render those games unplayable if the system they’re on is offline for longer than a month. But a rep from Sony told Game File today that new system will require only a single online check before it functions as a perpetual license for the digitally purchased game. That is consistent with a newer theory that emerged by gamers testing the 30-day timer over the last two days. “Players can continue to access and play their purchased games as usual,” a rep for PlayStation told me over email. “A one-time online check is required after purchase to confirm the game’s license, after which no further check-ins are needed.” The rep’s explanation squares with the current understanding among players about what’s happening. A multi-day mystery A post last Friday by YouTuber Lance MacDonald spread awareness over the 30-day timer. Quickly, players began stress-testing the system, removing a battery within their PlayStations and checking what would happen if their systems were offline past the timer window. They noticed that setting a PS4 or PS5 to be the “primary” console—a common Sony-authorized method to retain rights to a digital game—wasn’t overriding the 30-day limit. On Tuesday came the breakthrough: A gamer called Andshrew on the Resetera forums posted the results of some tasting. They found that digital games purchased on PS4/PS5 after some time in mid-April would get a 30-day timer that could then be removed and replaced with a perpetual license that would allow the game to be played offline. The transition to the perpetual license occurred some number of days after the digital game was purchased and the system was connected to the internet. They believed that a PlayStation’s online check-in would trigger the license change no sooner than 15 days after the user had purchased the game. This synced with the theory that Sony’s new system is related to the 14-day window that PlayStation users have to request a refund for digitally purchased games. The new timer/check-in system could be a way to defeat some exploit in that refund system, some users theorized. Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe In a follow-up, I asked the Sony rep if the 15-day timeline is accurate or if the perpetual license can be activated sooner after purchase. If they share more, I’ll update this post. Sony has not said why they’ve introduced the timer and whether it is designed to stop people from exploiting the refund system. But their explanation suggests that this new DRM method should not result in long-term loss of access to digitally purchased games, just because a PlayStation is offline for a month or Sony’s servers are down. Xbox flashback For many some gamers, the initial reporting of the 30-day timer conjured memories of Microsoft’s disastrous May 2013 announcement of the Xbox One, which was going to require an internet-connected check-in once a day, lest your games become unplayable.1 After widespread backlash, Microsoft abandoned that plan, ahead of the Xbox One’s launch. 1 Fun fact: That 24-hour check-in detail was my scoop from an interview I had that day with then-Xbox exec Phil Harrison. I was EiC of Kotaku at the time and rushing from one Xbox One preview appointment on Microsoft’s campus to another. I phoned the news in to reporter Jason Schreier, who wrote it up for the site.
‘The Devil Wears Prada 2’ review: Sequel all style, no substance
“The Devil Wears Prada 2” gives us a lot to look at, but it’s flat Champagne: maybe worth drinking in a pinch, but unsatisfying, writes Moira Macdonald.
Northwood University Celebrates 2026 Class of Outstanding Business Leaders
Gala honors achievement, raises scholarship funds, and inspires students to pursue lives of meaning, leadership, and earned success Northwood University celebrated five honorees whose vision and leadership have transformed industries and communities on Saturday, April 18, during the 46th Outstanding Business Leader Awards Gala at the Henry Ford Museum in Dearborn, Michigan. The gala brought together honorees, alumni, students, donors, and university leaders for a signature event rooted in Northwood’s mission to develop free-enterprise leaders who drive global economic and social progress. This year’s honorees represented an array of industries, including entertainment, entrepreneurship, construction, manufacturing, motorsports, and automotive retail. “Outstanding Business Leader Awards is one of the most meaningful traditions at Northwood University,” said Dr. Kent MacDonald. “It gives our students the opportunity to learn directly from leaders who have built exceptional careers through vision, perseverance, personal responsibility, and service to others. What makes these honorees special is that their impact reaches far beyond business success. They create jobs, strengthen communities, open doors for others, and lead with purpose. They remind our students that free enterprise, when guided by character and integrity, can be a powerful force for good.” Since 1981, the Outstanding Business Leader Awards have recognized exceptional business leadership while supporting student opportunity through the Outstanding Business Leader Endowed Scholarship Fund. Prior to the gala, honorees met with Northwood students during a roundtable conversation designed to give students direct access to first-hand mentorship and career insight. The student-centered experience continued that evening, as each honoree was formally introduced by a Northwood student selected through a competitive process that drew more than 50 applicants this year. The experience reflects Northwood’s emphasis on learning through experience and providing students with meaningful opportunities to build confidence, connections, and professional momentum before graduation. The following honorees and presenters were featured at this year’s Outstanding Business Leader Awards Gala: Paul A. Glantz, chairman and CEO, EH Real Estate LLC; chairman emeritus, Emagine Entertainment Inc., was introduced by Kennedy Williams, a marketing communications and automotive aftermarket management student from Farmington Hills, Michigan. They are pictured with Gala Emcee Steve Madincea (far left) and Northwood University President Kent MacDonald. Jennifer Tenaglia Panning ’92, president, Artisan Tile Inc., was introduced by Karley Baker, a finance and marketing student from Washington Township who is enrolled in Northwood’s four-year bachelor/MBA track. Danny Sullivan, 1985 Indianapolis 500 champion, 1988 IndyCar World champion, and 1994 Rolex 24 at Daytona champion, was introduced by Max Hart, an automotive marketing and management student from Cheboygan, Michigan. Reagan Cordes, a sales management student from Davison, Michigan, is pictured introducing Linzie Venegas, chief operating officer of Ideal Group, who was unable to attend the gala. Larry Zinn, executive general manager of Warren Henry Auto Group and a 2008 Northwood alumnus, was honored to accept the Outstanding Business Leader Award on behalf of his father, Warren Henry Zinn ‘77, who was unable to attend Saturday’s gala. Larry Zinn was introduced by Bella Smylie, a data analytics student from Clare, Michigan. “This gala is about more than recognizing business excellence; it’s also about investing in students and reinforcing the relationships that make Northwood special,” said Advancement Vice President Murray Kyte. “We celebrate leaders whose lives reflect The Northwood Idea while raising scholarship funds to invest in students whose ambition, character, and entrepreneurial spirit reflect the values Northwood seeks to advance.” “During my time at Northwood, I’ve been fortunate to experience things I never could have imagined,” said Baker, who added she was honored to form a meaningful connection with her Outstanding Business Leader honoree. “…Northwood builds a network that stretches far beyond these walls, one shaped by shared values, a belief in free enterprise, and a conviction that business, done right, can change lives.” To learn more about this year’s honorees and gala sponsors, visit the Outstanding Business Leaders Awards webpage at www.northwood.edu/advancement/signature-events/outstanding-business-leader-awards/. Share this page
Sheridan College to Host Lecture on Careers in Medical Science Liaison Field
Sheridan College will host a public lecture at 7 p.m. Wednesday, April 29, featuring Jenny McDonald, Ph.D., director and medical science liaison at Novartis Pharmaceuticals Corporation. The event is free and open to the public. The presentation, titled “From Bench to Industry: The Role of Medical Science Liaison,” will take place in Room 153 of […]
‘Widow’s Bay’ review: Apple TV horror comedy feels a little underbaked
While the new Apple TV series, premiering April 29, feels disjointed, there's still pleasure to be had, writes Moira Macdonald.
Michigan rep rips fellow Democrats for 'troubling' convention behavior
Rep. Kristen McDonald Rivet said behavior at the Democratic convention in Detroit is a "step in the wrong direction" that could hurt Dems in November
Michigan Democrats pick Savit over McDonald for attorney general nominee
Washtenaw County Prosecutor Eli Savit defeated Oakland County Prosecutor Karen McDonald at a Michigan Democratic Party state convention on Sunday.
I found my dad's McDonald's collectibles. I decided to sell them.
Sarah Israel found boxes of her dad's McDonald's memorabilia from the '70s and '80s and is now selling most of the collection.
Recap: Colorado blanks Seattle 2-0 in regular season finale
Game 82 was a success!
Kansas Transfer Jamari McDowell Commits to Wake Forest
The Deacs have their 3rd addition of the portal with Kansas Jayhawk guard Jamari McDowell. McDowell is a 6-5 redshirt sophomore who averaged 3.3 points and 1.1 assists in 17 minutes per game for the Jayhawks this season. After redshirting in the 2024-25 season due to injury, McDowell was the 6th man for Kansas this […]
Patriots draft profile: Kayden McDonald is a dominant run defender
The Ohio State product is the best defensive tackle in this class.
College of Science and Notre Dame Research inaugural Days of Service: A look back at 2025
Katrina Conrad and Barbara Calhoun, who both administer the science and patient advocacy minor in the College of Science, volunteered at Ronald McDonald House …
Why I Chose Georgetown’s McDonough School of Business
Sarah Brannigan (B’28) why she chose Georgetown to study business, from professors, the professional development and experiential learning opportunities.
Business Notes: NSU raises $147M; McDonald’s to open in Virginia Beach
Norfolk State University’s Now Is Our Time campaign raised $147 million, exceeding its original $90 million goal. View the latest business news in Hampton Roads.
“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
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