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Political leaders, constituents mourn trailblazing congressman Barney Frank
Barney Frank, 86, left mark as trailblazer in politics
Former Congressman Barney Frank, a trailblazer in LGBTQ+ rights and banking regulations, dies at 86. His legacy of reform and wit will be remembered.
Barney Frank, 86, left mark as trailblazer in politics
BOSTON — Former Congressman Barney Frank, the first member of Congress to voluntarily come out publicly as gay and a liberal bulldog who left his fingerprints on the nation’s banking regulations, died on Wednesday. He was 86. Frank announced in early May that he had begun hospice care at his home in Maine. “He has […]
Barney Frank, financial reformer and trailblazer for gay rights, dies at 86
The longtime Democratic congressman and leading liberal brought new visibility to gay rights and crafted the most significant reforms to the financial system in a generation. Frank was known for his acerbic wit, combative style and focus on marginalized communities. He was 86.
Barney Frank, a liberal congressman and trailblazer for gay rights, dies
He was the first lawmaker to come out as gay voluntarily
Barney Frank, liberal icon who regulated a ‘too big’ financial industry, dies at 86
Former Democratic Rep. Barney Frank, who represented Massachusetts in Congress for decades, has died. He was 86.
Frank Mitloehner named UC Davis animal science chair
His appointment is effective June 1.
Barney Frank, liberal icon and gay-rights pioneer, dies at 86
The former congressman was politically engaged until the end.
Barney Frank, longtime Mass. congressman, has died
Frank was the first member of Congress to publicly come out as gay voluntarily.
Crumbl Cookies Closes Chapel Hill Location After 3 Years In Business
The store, located in Suite 150 at 133 West Franklin St., first opened its doors in February of 2023. It was open for just over three years.
Most iconic barbecue restaurant in every state
From roadside shacks to barbecue institutions like Franklin Barbecue in Austin, here's the most iconic barbecue restaurant in every state.
Franklin County Career and Technology Center Adds Anatomage Table for Health Science Students
Franklin County Career and Technology Center is highlighting its new Anatomage Table, an advanced life-sized touch-screen display used for 3D anatomy education and virtual dissection. The table allows users to […]
🚨 Eintracht Frankfurt sack Albert Riera after turbulent months
Eintracht Frankfurt announced on Sunday night the end of Albert Riera’s spell as first-team coach.Riera had conflicts with several players and, in the final stretch of the season, was even booed by ...
NYC business owners oppose Mamdani’s city-run grocery stores: ‘It’s a concern’
Multicultural Business Coalition chairman Frank Garcia assesses New York City Mayor Zohran Mamdani’s plan to open city-owned grocery stores on ‘The Bottom Line.’
Andrew Abbott leaned into some science to get his season back on track
Andrew Abbott locked in on the stick-figure graphic of himself. The world of biomechanics is very advanced. But with Abbott going through the worst rut of his big league career, he opened up to some new ideas to get himself back on track. He asked for some help, and he leaned into some sports science. He said the stick figures made it clear, and he credits biomechanics for helping him get his season back on track. Over his last three starts, he has allowed two total runs in 17 ⅔ innings. “There’s a photo of (me) last year and the year before on a graph, and this year is in a different color,” Abbott said. “You see where you are in comparison to that. Where the hands are at this moment, where your feet are, where the knee is, where your head is at, where your shoulders are at, it breaks it all down if you want it.” When Abbott saw his mechanics in this objective way, he recognized exactly what had been going wrong. “When my tempo, my feet and my hands are aligned, then normally my mechanics are sound,” Abbott said. “And when my mechanics are sound, my stuff behaves normally. The fastball is jumpy. I’m up in velo. My extension is better.” Abbott said that he started diving more into his biomechanics in the middle of April. The Reds have a biomechanics team, which works closely with pitching coach Derek Johnson and hitting coach Chris Valaika. Leading the group is biomecahnics manager Franky Mulloy. “I laugh every day,” Francona said. “When Franky starts talking, I start laughing. I remind him to know his audience.” Francona isn’t a scientist. The Reds’ manager jokes about his own comprehension of the data. But it’s easy for him to recognize the value that the biomechanics team is providing. “That’s why we got them,” Francona said. Abbott said that he had his first big biomechanics-oriented meeting in the middle of April. Behind the scenes, there was already a lot of communication going on within the Reds’ staff. “Franky calculates all the things, builds it into these graphs, and DJ gets them,” Abbott said. “They have their internal communication. Then, we go to them and ask what about this or that. The main thing for me is arm angle.” The data shows Abbott how his arm angle evolves from start to start. He hasn’t meant to change it. But just like all of us, our posture might be different from one day to the next. Pitchers’ arm angles can make minor shifts without the pitcher or even coaches noticing. But the data can’t miss a change like that. Abbott recognized that his arm angle had been moving around without him noticing. Now, he checks in with the data to make sure that his mechanics are in sync. “They get into these cool looking graphs,” Abbott said. “I can’t really describe them. I don’t know what they are. But for me, it’s a photo of a stick figure of myself.” The stick figure of his current positioning is superimposed over previous versions of himself. With that format, Abbott can compare his mechanics on any given day to what they were when he was pitching at his very best. “It was very noticeable from the moment I saw this year as black compared to two years ago and last year, it was very, very different,” Abbott said. “I could see with my eyes without having to ask any questions about the difference in the photos.” For any pitcher, there are a lot of moving pieces in your delivery. For Abbott to be the best version of himself, he needs his head, his arm, his hand, his knee and his feet to be on the right “tempo.” “Tempo is a word I’ve used a lot,” Abbott said. “Getting everything in certain areas working together.” He has been much better at that recently. The data backs that up, and so does Abbott’s ERA. The biomechanics data has also given the Reds’ staff and Abbott some better ideas for some training that he can do between starts. He has added drills to shore up areas of his body that Abbott needed to make stronger. “They make a plan based off what they see,” Abbott said. “If things start changing, we know what to revert back to.” Overall, Abbott says that he’s not a very analytical guy. There’s so much information out there, and he says that it’s important for him to not get too analytical when he breaks down his specific pitches. He has learned the value of being “analytical about mechanics.” And the way that the Reds presented that information to him made it easier for him to make the right adjustments without being overloaded by information. “It was a very simple fix,” Abbott said. “It took a long time to finally get there, feel the results and see it. But for the most part, it was very simple to apply it.”
Fresno podcaster launches sports rep firm, signs UFC contender
What originally started off as a media brand built on hustle and relationships has now grown into a full-service athlete marketing venture for Central Valley entrepreneur Frank Dalena. Dalena, the founder of the popular podcast
Top available quarterback commits to Virginia Tech over Georgia
James Franklin and the Virginia Tech Hokies have landed Peter Bourque over the Georgia Bulldogs. He was the top uncommitted quarterback.
Sarasota Chamber announces business awards finalists
The Greater Sarasota Chamber of Commerce reveals the finalists for the upcoming 36th annual Frank G. Berlin Sr. Sarasota Business Awards.
Franklin Rodeo is more than entertainment; it supports charities with its proceeds
Franklin, Tenn. (May 11, 2026) – The annual Franklin Rodeo is more than entertainment. It’s giving back to others.
MBA grad credits peers for making business personal
Despite earning dual undergraduate degrees from Arizona State University in 2022, Frankie O'Neill ('22 BA in art history and business) says the W. P.
The Long Fight for Small Business Lending Transparency Is Not Over » NCRC
Small businesses play a vital role in the US economy, but their ability to access credit has been a longstanding obstacle to their viability. Additionally, the CFPB's recent final revised rule implementing Section 1071 of the Dodd-Frank Act that effectively cuts small business lending reporting requirements could lead to more lending disparities for women and BIPOC entrepreneurs.
Meet Frankie Pica, the reporter who focuses on your pocketbook
Meet Francesa Pica, a Milwaukee Journal Sentinel reporter who focuses on how business news impacts your daily life and wallet.
MHS Students Show off Science Savvy in Fair
The Innovation Showcase provides students with the opportunity to present the culmination of their year-long academic and career-focused endeavors.
Nick Cannon’s business accountant accused of embezzling $2 million, reportedly leaves US
If convicted, Frank Musoke faces up to 20 years in federal prison for each wire fraud charge and up to
Review: FRANKLINLAND Holds the Key to Entertainment at B St. Theatre
Forty years celebrating the iconic B St. Theatre continues with Franklinland, an engaging exploration of power, legacy, and the bonds between father and son. Lloyd Suh’s play about the complexities of Benjamin Franklin has an emotional core that centers on the volatile relationship between the founding father and his son, William. Director Sean Patrick Nill approaches the show with a balance of comedy and sincerity, wasting no time establishing the imbalance between icon and son.
Opinion | How Barney Frank helped reinvent Boston
He and other ambitious, outsider-minded aides steered the city away from parochial politics and toward lasting change.
Now in hospice care, Barney Frank urges political left to avoid ‘litmus tests’ in new interview
The last act of the legendary congressman from Massachusetts is to push a pragmatic theory of political change.
News | Science and innovation take-up hits record in Cambridge
Knight Frank says the wider Golden Triangle is seeing continued demand
Barney Frank and Rudy Giuliani: Two powerful men with different paths
The two politicians couldn’t be more different, but, like us all, face the same inescapable fate.
High school sports results, playoff schedule for Monday, May 4, 2026
MONDAY’S RESULTS Baseball CITY LEAGUE Brashear 16, Perry 1 (3) WPIAL CLASS 5A Section 1 Kiski Area 12, Penn Hills 2 Penn-Trafford 6, Franklin Regional...
Ellis wants lawmakers back to redistrict, veteran reporter retires, in political notes
Sen. Arthur Ellis makes another redistricting pitch after Supreme Court's Voting Rights Act ruling, AP veteran Brian Witte packs it in, Ed Wykowski moves up in the comptroller's office and Frank Waesche gets a seat on the MdTA board, in political notes.
Notepad++ Creator Calls Out 'Fake' Mac App Over Trademark Violation
Notepad++ creator Don Ho said the macOS version of the popular Windows code editor is fake and using the Notepad++ trademark without permission. The unofficial Notepad++ app for macOS In a blog post, Ho said the macOS app is "not authorized, not endorsed, and not affiliated with" the official version of Notepad++ in any way, adding that it is "misleading, inappropriate, and frankly disrespectful to both the project and its users".
Barney Frank, in hospice, says he remains hopeful but warns Democrats on ‘litmus test’ politics
Speaking from his home in Ogunquit, Maine, the 86-year-old former congressman told CNN that his own experience gives him reason to believe the political landscape can improve.
Which Colorado high schools are best for athletes in 2026?
Lauren Betts is entering the stratosphere of pros like Missy Franklin and Chauncey Billups from Colorado. Which high schools are the best?
Former Congressman Barney Frank reflects on his life, entering hospice, and the future of the Democratic Party
Appleton area high school sports results for Saturday, May 2
High school baseball, softball, soccer, golf and tennis teams were in action.
Measles spreading undetected in Washington? Health officials are worried
Just because measles has not been reported in most Washington counties, including Yakima, Benton and Franklin Yakima counties, does not mean it is not there.
'Devil Wears Prada 2' director explains returning star's surprise death scene
'The Devil Wears Prada 2' director David Frankel explains why one returning actor 'had to die' in a shocking death scene twist — and later showed up to watch his peers film his character's funeral.
Central Mass. by the Numbers, Sunday, May 3
A look at business news in Central Mass. over the past week.
‘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
West Coast tech firm eyes big Chicago office expansion
San Francisco-based Databricks is poised to lease about 50,000 square feet in the Franklin office building at 227 W. Monroe St., expanding from its current co-working space.
Anne Frank exhibit at the Griffin Museum of Science and Industry opens the door to her secret annex
The full-scale recreation of the Frank family’s hideout during World War II in Amsterdam is the stunning centerpiece of a new exhibition opening Friday.
Meet 2026 RBSI Scholar, Kaitlynne Franklin, Southern Illinois University Carbondale -
Kaitlynne Franklin, Southern Illinois University Carbondale Kaitlynne Franklin is a first-generation Southern Illinois University Carbondale political science student with plans to pursue a Ph.D. in American politics, specializing in race and ethnic politics. She has [...]
Local Politics: There’s nothing secondary about primaries
Here are the local candidates on Franklin County’s ballot this year.
NEXE Innovations Reports Q3 2026 Results and Business Update
WINDSOR, Ontario, April 29, 2026 (GLOBE NEWSWIRE) -- NEXE Innovations Inc. ("NEXE", the "Company", "we", "us" or "our") (TSX.V: NEXE) (Frankfurt: NX5) (OTC: NEXNF), a compostable and innovative materials company, is pleased to announce its financial results for the three-month period ended February 28, 2026 ("Q3 2026"). The quarter reflects the seasonal softness typical of the North American coffee industry in the post-holiday period, and the negative impact of tariffs that were implemented post
Justin Berfield regrets 'Malcolm in the Middle' revival forced costar Erik Per Sullivan back into the spotlight: 'Leave Erik alone!'
‘Malcolm in the Middle’ star Justin Berfield feels bad that the show's revival turned the spotlight on his former costar Erik Per Sullivan after he left Hollywood.
Bueckers hopes focus can be on Fudd as 'a basketball player'
During media day proceedings with the Dallas Wings, star Paige Bueckers addressed the buzz surrounding her relationship with teammate Azzi Fudd Monday, saying "Quite frankly, I believe me and Azzi's personal relationship is nobody's business but our own."
Franklin Square Italian restaurant back in business after closing its doors before COVID
Carmela's opened in 1971 and closed its doors right before COVID.
Opinion | This Minnesota bill would crack down on outrageous resale ticket prices
"There’s nothing free about a market where tickets listed don’t even exist, consumers don’t have a shot at tickets on on sale because they’re scooped up by algorithms, and prices are driven up by bots," Dayna Frank writes.
Best available players for the Broncos going into Day 3
Day 2 of the 2026 NFL Draft is in the books, and the Denver Broncos finally made a pick! They traded back into the top end of the third round and selected Texas A&M defensive tackle Tyler Onyedim. He will help replace the void left behind by John Franklin-Myers, who left via free agency and […]
Entertainment Schedule for Franklin's Main Street Festival
See the Entertainment Schedule for Franklin's Main Street Festival.
Frank Ski returns to V-103 and Big Tigger has a new co-host
Changes are afoot at Atlanta radio station V-103, with the return of Frank Ski and the addition of Francesca Amiker and DJ Sturgess.
‘James Joyce: A Political Life’ by Frank Callanan
The writer left his native Ireland when he was a young man, but the nation’s frustrated struggle for independence haunted the fiction he wrote in exile.
Man shot outside sports bar in Philadelphia's Frankford section
Investigators say more than a dozen shots were fired, and the victim was hit six times.
The Symbolic Politics of Status in the MAGA Movement -
The Symbolic Politics of Status in the MAGA Movement By Biko Koenig, Franklin & Marshall College and Tali Mendelberg, Princeton University Drawing on ethnographic fieldwork among Make America Great Again (MAGA) activists during the 2020 [...]
'Devil Wears Prada 2' director explains why Adrian Grenier cameo didn't happen
'Devil Wears Prada 2' director David Frankel tells EW that he wanted an Adrian Grenier cameo as Nate, and explains why the 'Entourage' star didn't come back for the sequel.
DeFi Technologies' Asset Management Business, Valour, Secures US$11 Million in Institutional Investment into Hedera ETPs, Including US$10 Million on Börse Frankfurt and US$1 Million on Sweden's Spotlight
Two separate institutional transactions, based on execution value at the time of purchase and originated through DeFi Technologies' Abu Dhabi symposium,...
Tickets Are On Sale For Phil Collins Tribute
The team that produced "The Simon & Garfunkel Story" and "R.E.S.P.E.C.T.–The Aretha Franklin Story" will present "The Phil Collins Story" on Sunday, October 18, at Plymouth Memorial Hall. Start time
Healey signs bill reforming marijuana business governance, sales in Mass.
Gov. Maura Healey will now appoint all members of a reformed Cannabis Control Commission. She signed a bill Sunday that included several changes to Massachusetts' marijuana industry.
11 missing or dead scientists draw federal scrutiny, including 4 tied to LA County
The Trump administration is reviewing 11 cases of missing or deceased scientists, including Southern California researchers Monica Jacinto Reza, Carl Grillmair, Frank Maiwald, and Michael David Hicks.
Rosalind Franklin, chemist: “Science and everyday life cannot and should not be separated”
A pioneering DNA scientist reflects on science, faith and purpose, offering a grounded view of how discovery and everyday life intertwine
Ohio Judge Temporarily Pauses Hemp Product Ban For Two Businesses
“The judge here is concerned about retailers that have made big investments in inventory, and they can’t move it, they can’t transport it, they can’t sell it.” By Megan Henry, Ohio Capital Journal A Franklin County judge granted a temporary restraining order (TRO) to allow two smoke shops to sell off their products less than […]
Frank signaled that the Clippers would like to extend …
Frank signaled that the Clippers would like to extend …
Why Political Pressure on Central Banks Can Raise Your Borrowing Costs
The question of central bank independence came up during a fireside chat on Grounds with Philip Lane, chief economist of the European Central Bank, hosted by economist and Darden professor Frank Warnock.
Franklin County judge temporarily blocks Ohio’s intoxicating hemp ban for two businesses
NASA Begins Implementation for ESA’s Rosalind Franklin Mission to Mars
NASA has given approval for the agency’s Rosalind Franklin Support and Augmentation (ROSA) project to begin implementation, underscoring the agency’s
James Franklin wanted to spite Penn State after firing. Here's why he didn't
USA TODAY Sports visited James Franklin at Virginia Tech to find out why ex-Penn State coach turned down $49 million vacation to rebuild in Blacksburg
Hamilton County commission discusses new business incubator plans amid tenant concerns
There are new developments in the future of the Hamilton County business incubator as elected officials unveil a new vision for the program.This comes as conce
Hamilton County unveils new business incubator plans as current tenants fear costly move
A day after small business owners raised concerns about the possible sale of their building, Hamilton County leaders are outlining where the incubator could go
http://democrats-energycommerce.house.gov/media/press-releases/pallone-opening-remarks-subcommittee-legislative-hearing-public-health-bills
Energy and Commerce Committee Ranking Member Frank Pallone, Jr. (D-NJ) delivered the following opening remarks at a Health Subcommittee legislative hearing on "Healthier America: Legislative Proposals to Improve Public Health:"
WATCH LIVE: It's Tax Day. IRS chief is testifying on tax filing season
IRS CEO Frank Bisignano is set to testify in front of the Senate Finance Committee on Wednesday.
‘Mormon Wives’ star Taylor Frankie Paul will not be charged in recent fights with ex-partner
Utah reality star Taylor Frankie Paul will not be charged in a pair of February fights with her former partner, the Salt Lake County District Attorney’s Office said | Newsradio 1140 WRVA
‘Mormon Wives’ star Taylor Frankie Paul will not be charged in recent fights with ex-partner
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“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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