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‘The Voice’: The 5 Most Impactful Changes Since Season 1
Some of these changes were knockouts. Others hit all the wrong notes.
‘The Voice’: The 5 Most Impactful Changes Since Season 1
Some of these changes were knockouts. Others hit all the wrong notes.
‘The Voice’: The 5 Most Impactful Changes Since Season 1
Some of these changes were knockouts. Others hit all the wrong notes.
‘The Voice’: The 5 Most Impactful Changes Since Season 1
Some of these changes were knockouts. Others hit all the wrong notes.
Cosmeticorexia: a worrying obsession with flawless skin or just a new term for an old problem?
The uptick in children focused on skincare has some experts concerned about body image and mental health. But others warn of the risks of rushing to ‘medicalise’ new trends or behaviours
‘The Voice’: The 5 Most Impactful Changes Since Season 1
Some of these changes were knockouts. Others hit all the wrong notes.
Trump’s hatred for ‘windmills’ threatens Republicans in coastal Virginia who now face more political peril after the state’s redistricting vote
For now, the Virginia wind project is back on track, along with four others, because of federal court rulings.
Aggressive “hulk” lizards are wiping out millions of years of evolution
For ages, wall lizards coexisted in three distinct color types, each with its own strategy for survival. Now, a powerful green variant is taking over. These dominant “Hulk” lizards are outcompeting the others, causing yellow and orange morphs to vanish. It’s a dramatic reminder that evolution can flip the script much faster than expected.
If On Shoes Are for Everyone, Are They Still Ons?
The company finds itself at a critical juncture that others have botched: How does it stay a brand for serious athletes while keeping up its breakneck growth?
Rubio’s Absence From Iran Talks Highlights Stay-at-Home Role
President Trump has outsourced much of his diplomacy to others, while Mr. Rubio focuses on his second job as national security adviser.
'Inflicting' politics on others
During his failed campaign to become one of Indiana’s U.S. senators, Republican candidate Richard Mourdock gave us a taste of what was to come.
Wisconsin DOJ suing sports betting apps
The Wisconsin Department of Justice announced on Thursday that they are suing sports betting apps like Kalshi, Polymarket, Crypto.com and others to try and stop their alleged facilitation of illegal sports betting.
Jefferson Einstein health workers say North Philly pediatric practices closures will leave ‘a hole’ in communities
Four longstanding pediatric offices will close June 30 and three others will become part of the True North Pediatrics group, based in Pennsylvania.
Wisconsin attorney general suing Kalshi, others for illegal sports betting
Attorney General Josh Kaul is holding an afternoon news conference to address the lawsuit
Pete Davidson debuts new tattoo, after spending $200K to have others removed
Pete Davidson has spent years — and a lot of money — removing his many tattoos. But he just showed off a new one.
Medical leaders break ground on women's health pavilion in Prince George's
A medical hub is on the way in Prince George’s County dedicated to ensuring expectant mothers have an option closer to home. Eight in 10 women in Prince George’s County leave the county to deliver their babies due to limited care options, according to Luminis Health. That was the reality for Mautez Bethel. “I’m not even going to lie, the…
28 more Spanish Springs athletes sign on for college sports
Spanish Springs held a ceremony Wednesday to celebrate 28 athletes signing for college sports; eight others announced their intentions last fall.
Spanberger signs bills to improve maternal health care in Virginia
Gov. Abigail Spanberger on Wednesday signed a bipartisan package of bills aimed at improving maternal health care and expanding support for mothers.
Child Health Poll: Vast majority of Tennessee parents say their kids get regular immunizations, support school-based immunization requirements
Roughly 8 in 10 parents surveyed across the state said they are concerned about communicable diseases like measles if others are not immunized and agreed that immunizations are important to protect their children from serious infections.
CBL Scholars Program Opens Pathways to Business Law Careers - UC Law San Francisco (Formerly UC Hastings)
First-year law students and 2026 CBL Scholars Deniz Masjedi, Alvaro Flores, and Tavia Pappaly gain mentorship connections with leading industry professionals as they prepare for careers in business law. Created by the UC Center for Business Law San Francisco (CBL), the CBL Scholars Program aims to develop the next generation of business law leaders, supported by contributions from individuals and corporate sponsors. The highly competitive program provides funding along with academic and professional mentorship to students from disadvantaged backgrounds. Scholars gain exposure to the Bay Area’s technology and venture capital ecosystems and access to UC Law SF’s broad network of senior legal professionals. Now in its sixth year, the CBL Scholars Program provides a scholarship and academic and professional mentorship to students entering the business law community from disadvantaged educational, economic, social, or physical backgrounds. The program is generously sponsored by the law firms Gunderson Dettmer and Goodwin Procter. Meet this year’s CBL Scholars: Deniz Masjedi, Alvaro Flores, and Tavia Pappaly. All three have secured summer associate positions at prestigious law firms. Deniz Masjedi: A Passion for Helping Founders Grow Companies Deniz Masjedi, who was born in Iran and moved to Southern California as a teenager, traces her interest in law to her family’s immigration journey and her desire to advocate for herself and her family. She earned a bachelor’s degree at UC Berkeley, where she studied political science and sociology. At UC Law SF, she serves as a 1L representative for the Iranian Law Students Association and is active in the Business Law Society and Technology & Law Society. Next fall, she will serve as director of mentorship for the Technology & Law Society and director of professional development for the Business Law Society. She will join Sidley Austin this year as a 1L/2L summer associate. Q: What draws you to business law? A: Prior to law school, I worked in Cooley LLP’s Private Companies practice group as a corporate paralegal for three years, supporting over 100 venture-backed startups and venture capital funds. I found purpose in helping founders transform their vision into successful companies. It was incredibly rewarding being part of their journeys—from company formation and initial financing to major transactions such as M&A deals. What excites me most about this field is the potential for a small, innovative company to become the next Google or Zoom, shaping how people communicate and access information. I hope to continue supporting entrepreneurs and investors as a corporate attorney. Q: What does it mean to you to have been awarded this scholarship? A: As the first person in my family to attend law school in the United States, receiving this scholarship is a tremendous honor. My parents and I left everything behind so that I could enjoy the freedom to practice my religion without persecution and pursue a career in law as a woman. This award is an acknowledgment of my dedication to business law and motivates me to continue pursuing excellence in this field. It also recognizes years of hard work—learning a new language, navigating the college and law school application process, and ultimately building a career in the legal profession. Q: How will this scholarship help support your future goals? A: This scholarship will provide access to mentorship from leaders in the field, enabling me to develop the skills necessary to offer practical advice and effective representation to future clients. It also eases the financial burden of law school, letting me focus on my coursework and deepen my commitment to corporate law. As an immigrant, breaking into the legal profession has not always been easy, and the time that mentors have invested in me has been instrumental to my progress. This scholarship will allow me to continue building those relationships while positioning me to one day mentor others pursuing similar paths. Alvaro Flores: Inspired by Entrepreneurs The son of Mexican immigrants raised in San Antonio, Texas, Alvaro Flores says he has long been interested in how policy, markets, and culture shape society. He studied international relations and global economy at the University of Southern California, with minors in business finance and legal studies. His experiences span local political organizing, venture capital and startup work, and teaching entrepreneurship. At UC Law SF, he is involved in the Business Law Society, Technology & Law Society, and the Latinx Law Student Association. He will join Perkins Coie as a 1L/2L summer associate with the firm’s Emerging Companies & Venture Capital practice. Q: What draws you to business law? A: I’m drawn to stories of entrepreneurs whose simple ideas become companies that shape the economy and society. Spending time in venture capital and working directly with founders has shown me that many important decisions in the scaling process are ultimately legal ones, particularly how companies are structured and how capital is raised. Business law sits at the intersection of innovation and equity. It offers a way to stay close to the pace of technological change while also helping expand who gets to participate in it. There is something special about being part of that process here in the Bay Area, where the American Dream feels like it is reimagined in real time. Q: What does it mean to you to have been awarded this scholarship? A: I am truly grateful for the support and belief this scholarship represents. I see it not just as recognition, but also as alignment. The CBL Scholars Program’s focus on developing individuals who engage deeply with the business and technology ecosystem reflects the path I have been intentionally building. More than anything, it feels like an investment in that journey. I have been thoughtful about each next step–whether teaching, working in venture capital, or building multidisciplinary experiences–and this scholarship reinforces that those efforts come together in a meaningful way. Q: How will this scholarship help support your future goals? A: It allows me to focus more on developing as a business lawyer, without the distraction of financial constraints. Beyond that, the mentorship and access to the Bay Area network are just as valuable. I’m especially interested in working with early-stage companies and investors, so the opportunity to learn directly from people operating at a high level in that space is huge. Tavia Pappaly: Working in the Wine Industry Sparked Interest in Business and Law Tavia Pappaly spent five years in the wine industry before deciding to pursue law school with a goal of becoming a corporate transactions attorney. Pappaly says she wants to use her legal skills to help business grow and thrive. A first-generation law student from Fairfield, California, she is a member of the Legal Education Opportunity Program (LEOP) and will serve as vice president of social planning for the UC Law SF Sports Law Society in her 2L year. She plans to work as a summer associate at Gibson Dunn in San Francisco after her 2L year. Q: What draws you to business law? A: Business law brings together many of my interests and personal experiences. As the daughter of immigrants who grew up around a family-owned small business, I saw firsthand both the opportunities and challenges of building something from the ground up. That perspective, combined with my experience in the wine industry, solidified my interest in helping businesses of all sizes tackle evolving legal challenges. I’m excited to grow within the corporate law space and develop the skills and experience to support businesses at every stage. I’m deeply motivated to give back to immigrant communities and small business owners, whose experiences often intersect. By building a strong foundation in corporate law, I hope to support those working to create generational stability and to contribute in a meaningful way to the communities that have shaped me. Q: What does it mean to you to have been awarded this scholarship? A: Receiving this scholarship is incredibly meaningful to me. I take great pride in my background as a first-generation student and a woman of color, so being recognized for my potential in a field that has historically underrepresented those communities is both affirming and empowering. This program will help connect me to the resources and committed mentors that will help me succeed. Beyond that, it is no secret that law school is a significant financial commitment. This scholarship helps ease both the financial burden and the stress that comes with it, allowing me to focus more on my education and long-term goals. I am incredibly grateful! Q: How will this scholarship help support your future goals? A: This scholarship has already connected me with an incredible network of faculty, business law professionals, and like-minded students. The community fostered by the Center for Business Law is deeply supportive, and I’m excited to grow alongside my cohort. I truly believe this network will play an important role in helping me thrive in law school and position me for success in business law. As I have seen firsthand how impactful both financial scholarship and mentorship are, I hope to give back in this same way later in my career.
Dustin Poirier: Zuffa Boxing not an option for UFC fighters
In recent years. several former or retired UFC fighters have extended their combat sports careers by transitioning to boxing. Former champions Tyron Woodley, Anderson Silva and Francis Ngannou have. Ben Askren, Nate Diaz, Jorge Masvial, Mike Perry and Darren Till also have, among others. Former ...
The Business of the Biebers
Bieberchella cemented Justin and Hailey Bieber’s cultural and commercial power, as they scale their own brands and drive virality for others.
Alan Osmond, the eldest member of the Osmonds, has died at 76
He helped write some of the Osmond Brothers' biggest hits, including "One Bad Apple," "Crazy Horses" and "Are You Up There?"
When the CEO Becomes the Brand
Research suggests that Elon Musk’s political stance appears to have reshaped how different groups perceive Tesla. Overall sales trends hint at trouble. The company’s growth stalled in 2024, and deliveries fell 8.5% in 2025. But those headline numbers hide what is happening beneath the surface. When the data is broken down by political orientation and by changes in views of Musk, a more complicated pattern emerges. Among right-leaning respondents and those whose opinion of Musk has improved, Tesla’s brand appeal is significantly higher and willingness to pay exceeds that for many competing brands, including Ford, Chevrolet, and Rivian. Among left-leaning consumers and those whose view of Musk has worsened, the opposite is true: Preference and willingness to pay for Tesla drop sharply. The outcome is not a uniform decline but a polarization of demand. Some consumers appear to feel alienated, while others feel more aligned with the brand. This raises an important strategic question of whether companies can influence purchasing decisions across these divided segments by strengthening the underlying value proposition.
69,000 drop NJ marketplace health plans after enrolling
Nearly 14% of enrollees dropped marketplace health plans since open enrollment closed on Jan. 31, and others downgraded coverage.
Focus on girls' health, social issues, safety and careers
On a recent Saturday, girls ages 8-14 and their mothers/guardians filled the first floor of LCMC’s Lakeview Hospital to take part in Girls Health Day, an event of the Junior
The Death of Public Health
During the recent measles outbreak, the largest in more than 30 years, Robert F. Kennedy Jr. refused to clearly recommend the measles vaccine, saying instead that it was a “personal decision,” and that parents should “do their own research.” Similarly, during her recent confirmation hearing for United States Surgeon General, Casey Means was questioned by Senator William Cassidy (R, La). “You’re the nation’s doctor,” said Cassidy. “Would you encourage [a mother] to have her child vaccinated!” “I’m not an individual’s doctor,” Means said. “And every individual needs to talk to their doctor before putting a medication in their body.” In June 2025, Marty Makary, Commissioner of the Food and Drug Administration (FDA), said that COVID vaccines for pregnant women should be a “personal choice”, even though every other country in the world recommended the COVID vaccine during pregnancy due to a higher risk for severe disease. It doesn’t end there. On January 5, 2026, RFK Jr. reduced the number of routinely recommended vaccines from 18 to 10. For vaccines that protected against influenza, COVID, and rotavirus, parents were urged to speak with their doctors—to make an individual choice. (On March 16, 2026, in a ruling by a federal court in Boston, RFK Jr.’s revised schedule was invalidated.) What’s happening? Why are public health officials moving away from making recommendations for the public? The origin of this change might be rooted in the first two years of the COVID pandemic. In 2020, during the first year on the pandemic, we didn’t have anything to stop a virus that was killing hundreds of people a day and could be spread asymptomatically. We didn’t have antivirals until October, monoclonal antibodies until November, and vaccines until December. All we could do was restrict travel, close businesses, shutter schools, and mask, isolate, quarantine, test, and social distance. During the second year of the pandemic, when we had vaccines to prevent COVID, people couldn’t go anywhere without their vaccine cards. They couldn’t go to their favorite bar or restaurant or sporting event or place of worship without proof of vaccination. Some people were fired from their jobs for refusing to get vaccinated. For many, this was seen as massive government overreach and energized what has been called the “medical freedom movement.” Indeed, a headline in the New York Times declared, “How Health Freedom Became a Winning Rally Cry.” As expressed in the comments of RFK Jr., Casey Means, and Marty Makary, the medical freedom movement focuses on the individual not the community—the opposite of public health. In an article titled “Ethics and Social Value Judgments in Public Health,” ethicists from Yale University distinguished public health from medical freedom. “Public health policies,” they wrote, “are population oriented. Because individual health affects the health of others, public health measures regulate individual behavior to achieve population health goals. All raise questions about how individual autonomy and freedom should be balanced against public health interests…which respects individuals’ sovereignty over their bodies and actions as long as their actions do not harm others.” The medical freedom movement fails to recognize that it often limits the freedom of others. For example, a parent who is afraid to send a child to school where many of the students are unvaccinated. Or immune compromised children who depend on those around them to for protection. The question then becomes “Freedom for whom?” Is it your right, in the name of medical freedom, to catch and transmit a potentially fatal infection—and in so doing, take away the freedom of others? In Four Essays on Liberty, Isaiah Berlin sums it up best. “Liberty for the wolves,” he wrote, “is death to the lambs.” Thanks for reading Beyond the Noise! Subscribe for free to receive new posts and support my work. Subscribe
Is a chatbot your doctor? Proceed with caution.
Two studies put ChatGPT, Gemini and others to the test on questions of health. Their assessment? “A bit of a shock.”
Injury updates on Colts' Daniel Jones, DeForest Buckner and others
During his pre-draft press conference, Colts' GM Chris Ballard provided injury updates on Daniel Jones, DeForest Buckner, and others
Experts reveal why 'nonnamaxxing' trend may improve mental, physical health
'Nonnamaxxing' is a growing trend inspired by Italian grandmothers that promotes cooking from scratch, taking daily walks and reducing screen time. Experts say it can boost mental health.
What is National Scam Survivors Day?
BBB established National Scam Survivor Day on the second Thursday in May each year to recognize the brave people who report their experiences to benefit others and help identify and stop scammers.
How much retail workers earned last year at Costco, Walmart, and more
For many US workers, retail is a first job; for others, it's a lifelong career. Here's how much the typical workers made last year at top retailers.
KAPAAW hosts fifth annual Black Maternal Health Fair
The event was an opportunity to connect Lexington mothers with resources to make motherhood easier.
Physicists share the glory and the wealth after winning $3M for exploring muon mysteries
A University of Washington professor and hundreds of others who measured the muon's magnetism have won a $3 million Breakthrough Prize.
‘It’s just important to stay healthy’: Dozens of former NFL players attend health screening
Dozens of former professional football players turned out for a health screening on Saturday, encouraging others to get regular doctor checkups and to stay active. Troy Davis is 35 and spent two years in the National Football League playing for the New York Jets and Dallas Cowboys. “As you age, health things start to pop up.”
Hospitals Help: Bronson Drives Change in Maternal and Infant Health
From prenatal care and labor and delivery to neonatal intensive care and postpartum follow-up, Bronson Healthcare plays a critical role in influencing health outcomes for mothers and babies across Southwest Michigan. In celebrating a historic reduction in Black infant mortality across Kalamazoo County, Bronson acknowledged that creating change requires shared…
AHA, others issue joint statement on workplace violence in health care
Ten national health care provider organizations, including the AHA, released a joint statement April 16 in recognition of Workplace Violence Prevention Month.
Michael Phelps Reflects on Impact of His Mental Health Advocacy
Michael Phelps sits down with NBC Nightly News anchor Tom Llamas for a new series called Great Americans to mark 250 years of the United States. Phelps talks about his life after the Olympics and reflects on the impact that openly discussing his mental health struggles has had on others and why he says that's "better than winning an Olympic gold medal."
Boil advisory limits Cedar Rapids businesses after water main break
A water main break in southeast Cedar Rapids is forcing some businesses to scale back operations, while others nearby say they’ve seen little impact.
How much do gig workers make? Uber, DoorDash, Taskrabbit breakdown
Gig workers — from Uber drivers to Taskrabbit handymen — told us how much they earned in 2025. For some, it was a side hustle, while others worked full-time.
Columbus CEO overcomes learning disabilities to build business and create opportunity for others
New York Yankees respond after Aaron Judge called out team
The MLB regular season is in full swing, and teams are already battling early in the year. Some clubs have jumped out to hot starts. Others, however, have stumbled out of the gate. The New York Yankees entered Monday on…
The Talbott Brothers to showcase songs from latest album ‘Borderlands’
The Talbott Brothers, heavily influenced by Bruce Springsteen’s “Nebraska,” will perform April 17 at CSPS Hall in Cedar Rapids.
From parent rights to school sports, the education bills that died in 2026
While lawmakers passed more than four dozen education-related bills, a long list of others did not make it to the finish line.
How downtown San Antonio businesses prepare for Fiesta
A few businesses downtown have front row seats to road and river parades, which bring good business for some and less customers for others.
Filmmaking Stony Brook Brothers to be Honored at Long Island Music and Entertainment Hall of Fame
Screening of Famulari brother’s debut film “Best Man” as part of Local Filmmaker Series Brothers Anthony and Ryan Famulari from Stony Brook will be recognized by LIMEHOF with a screening and Q&A of their debut feature ‘Best Man’ on April 24 th as part of the local filmmaker series. Stony Brook, NY — The Long Island Music and Entertainment Hall of Fame (LIMEHOF) will host Stony Brook filmmaking brothers Ryan Famulari and Anthony Famulari on April 24 th at 7pm at LIMEHOF in Stony Brook (97 Main Street) as part of its Local Filmmaker Series. The two will screen their debut feature ‘Best Man’. The film screening will be followed by Q&A moderated by LIMEHOF Vice Chairman Tom Needham. The event is free for members and $10 for non-members.
The hidden health inequality facing even the wealthiest Black mothers
Khiara Bridges took on Josh Hawley. Now she’s taking on the maternal healthcare system.
AI usage limits are causing some people to restructure their workdays
Session limits on AI tools can frustrate users who are forced to rejigger their workdays. Others like a chance to hit the gym and see friends.
New law may delay Knoxville elections a year. What do candidates think?
A bill in the Tennessee legislature would force some officeholders to stay in office a fifth year and others to wait their turn.
The Movement Turns Ten. Black Mothers Are Still Fighting. Blood Donors Can Help.
Black Maternal Health Week turns 10. Dr. Monique Rainford on the maternal mortality crisis and how blood donors can help. #BMHW26 #NationalMinorityHealthMonth
18% of gray whales that enter San Francisco Bay die there, scientists find
The climate crisis seems to be altering gray whales’ access to food, leading them to change their migration paths and forage in San Francisco Bay — a busy shipping area with a narrow bottleneck both whales and boats must cross. Scientists surveying these whales suspect that many don’t survive to leave the bay: of the 114 individuals they identified, only four were seen in more than one year between 2018 and 2025, and 21 were found dead, giving a minimum mortality rate of 18%. Many deaths were caused by vessel strike injuries, while some others are due to starvation.
Black Maternal Health Week: The impact of racism and how patients can advocate for themselves
It’s Black Maternal Health Week. Storm Team4’s Jessica Faith spoke with Dr. Tamika Auguste about the impact of implicit bias and structural racism on outcomes for Black mothers and how patients can advocate for themselves.
The Latest: Final round of the 90th Masters has arrived
The final round of the 90th Masters has arrived, and it’s a tight race for the green jacket. Rory McIlroy and Cameron Young enter the round tied atop the leaderboard, and six others are within four shots after a dramatic Saturday. Sam Burns is one shot off the lead, Shane Lowry is two, and two-time Masters winner Scottie Scheffler lurks four shots back.
'Euphoria' Season 3 returns with new plot and dedications
After four years, 'Euphoria' Season 3 premieres this weekend, dedicated to Angus Cloud and others. What to know.
Nell Nolan: 8 O'Clocks, Christian Brothers Gala, Chapelle Emerald Gala
Rocking around the Clocks
Local brothers use T-shirt business to give back to charity
Two local brothers are turning creativity into something much bigger than a business—they’re using it to give back to their community and bring people together.
Black doulas work to bridge health disparities for Black mothers
Saturday marked Global Black Doula Day and the start of Black Maternal Health Week. Pregnant and postpartum parents gathered on the West Side for a community baby shower.
Chamber of Commerce Presents Achievement Awards
Event also marked 110th of the chamber’s presence in Oswego [caption id=attachment_10469 align=alignright width=450] Abby Waever and Keara Patterson (in the middle) receive the Community Leadership & Legacy Award, presented to The Alberts Group.[/caption] The Greater Oswego-Fulton Chamber of Commerce (GOFCC) on March 4 hosted its 2026 Annual Meeting, presented by Constellation, at the Lake Ontario Event and Conference Center in Oswego. The event’s theme, Rooted in Community. The meeting celebrated the GOFCC’s 110th anniversary in the Oswego community and 10th anniversary of integration with CenterState CEO. The chamber also unveiled a new logo. “I am proud to say the GOFCC has been a force for business success, growth and opportunity, supporting organizations of every size, connecting neighbors and entrepreneurs and ensuring that every voice in Oswego County is heard,” said GOFCC Executive Director Sara Broadwell. The event featured keynote remarks from Novelis’s Kevin Schutt, vice president, manufacturing and production support at Novelis North America. [caption id=attachment_10454 align=alignright width=450] Maria Hudson of Constellation, holding the award, receives the Nancy L. Premo Woman of Distinction Award.[/caption] The GOFCC recognized the following organizations and individuals with achievement awards: • Oswego County Impact & Excellence Award, presented to Oswego County Office of Mobility Management. This award Honors a small business or nonprofit organization that demonstrates outstanding achievement through innovation, growth and measurable positive impact on Oswego County’s economy or quality of life. • Community Leadership & Legacy Award, presented to The Alberts Group. This award recognizes an individual, business or organization whose long-term leadership, investment or philanthropy has significantly advanced the vitality, resilience and future of Oswego County’s communities. • Nancy L. Premo Woman of Distinction Award, presented to Maria Hudson of Constellation. This award honors a woman in business who has made a meaningful impact on her community, inspired others through her leadership, and exemplified the values of service, integrity and empowerment. This award is presented in tribute to the late Nancy Premo, CenterState CEO’s former vice president of Human Resources.
“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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Viewpoint: FP10 should remain open, excellent and secure
Europe is right to worry about research security. Foreign interference is real. So is the misuse of sensitive knowledge. Universities working in sensitive areas such as AI, quantum, semiconductors and advanced materials cannot afford to ignore the geopolitical environment around them.But Europe is in danger of drawing the wrong conclusion, one that would increase, not reduce, its strategic vulnerabilities.If the EU applies an “EU preference” logic to the next Framework Programme for research and innovation (FP10), it will weaken one of its greatest strategic assets: a research system built on openness, excellence and international collaboration. In the name of security, Europe could end up advancing science more slowly, innovating less effectively and making itself less attractive to global talent and partners in advanced science and technology.That would be a serious mistake.The EU preference included in Article 10 of the proposed European Competitiveness Fund may make sense in some industrial or deployment contexts, but is far harder to justify when applied to collaborative research in advanced science and technology, where excellence and global connectivity are crucial. Research is not procurement. It does not thrive when isolated. It advances through access to the best ideas, the best people, the best facilities and the best data, wherever they are found. This is why FP10 should not simply absorb industrial policy logic by default. Doing so would risk importing instruments that are ill-suited to research and that ultimately increase vulnerability rather than resilience.For universities of science and technology, the issue is especially acute. These institutions sit at the frontier of knowledge and technology creation in the very fields Europe sees as critical for its future competitiveness and resilience. They know better than most that security risks are real. But they also know that openness and security are not opposites. In practice, they have to be made to work together. Research security is not about closing doors. It is about building resilience through collective responsibility, trust, proportionate safeguards and better governance. That is a fundamentally different approach from default restriction.The risks of non-collaborationThe real danger in the current debate is that Europe talks too much about the risks of collaboration and not enough about the risks of non-collaboration. Those risks are strategic too. Cut researchers off from international networks and Europe loses access to knowledge, data, infrastructures and talent. Slow down global collaboration in critical technologies and Europe slows down its own progress on cutting-edge science. Make participation rules unpredictable and Europe weakens its attractiveness to researchers and investors alike.In other words, over-restricting collaboration will create strategic vulnerabilities, particularly in advanced science and technologies.This point is often underestimated in policy discussions that frame openness mainly as a value to be defended. Europe’s scientific strength, technological development and long-term competitiveness depend on remaining connected to the best research ecosystems in the world. For a continent that wants to accelerate deep tech, strengthen industrial capacity and reduce strategic dependencies, weakening the excellence base would be self-defeating. That does not mean ignoring risk. Quite the opposite. Universities are already strengthening due diligence, internal governance, awareness-raising, screening procedures and compliance support. Across Europe, institutions are working to manage risks linked to foreign interference, sanctions, export controls and the misuse of research. The right response is not complacency. It is better risk management. But that means targeted, evidence-based and proportionate measures, not blunt top-down restrictions with wide spillover effects. In the daily reality of universities, openness and restriction often coexist. The real challenge is how to apply safeguards without sliding into securitisation that damages academic freedom, open science and international cooperation. Restrict partners, not nationsMore restrictive treatment of collaborators from European Economic Area members Iceland, Liechtenstein and Norway, or from Switzerland and the UK, is strategically very difficult to justify. These are deeply embedded partners in Europe’s research and innovation ecosystem. Beyond that, Europe should still resist default exclusion and instead rely on case-by-case assessment. The relevant question is not nationality in the abstract. It is the actual risk profile of a collaboration: the institution, the affiliations, the field, the knowledge involved, the intended use and the safeguards available. Screening should focus on institutions and affiliations rather than nationality alone. Related articlesParliament ‘misreads’ link between Horizon Europe and ECF, Commission official saysFrustration grows at governance gap in next Horizon EuropeIf EU preference logic is imported into research without careful calibration, the likely result is a chilling effect. Researchers may step back from legitimate and beneficial collaboration, even where risks are manageable. International partners may see Europe as less predictable. And Europe may end up undermining the very excellence base it needs to compete, scale up and lead in strategic technologies, thereby increasing its dependence on others.FP10 should do the opposite. It should remain open by default, with restrictions used only exceptionally, and then on the basis of clear evidence. It should integrate research security into open science and research integrity frameworks, not set them against each other. And it should recognise that academic freedom, scientific excellence and responsible international collaboration are not obstacles to Europe’s security, they are part of it. Europe needs stronger tools to protect itself. But it also needs the discipline to avoid measures that would weaken it and increase its strategic vulnerabilities in the process. In FP10, that means staying open, excellent and secure.Louise Drogoul is senior advisor for innovation and sustainability at the Cesaer university association.
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The Boundless Deep: Young Tennyson, Science, and the Crisis of Belief by Richard Holmes
Pantheon Review by Walter Cummins The image of Alfred Tennyson I’ve carried for decades goes back to the childhood card game of Authors that depicts him with a stately continence sharpened by a jutting black beard. He’s formidable, his aura superior. Holmes opens his biography of the youthful Tennyson by describing the similar formality of the imposing Tennyson statue at Trinty College Cambridge, sharing the honor with other Trinity greats, including Isaac Newton, Francis Bacon, and Thomas Babington Macaulay. Holmes doesn’t want to chip away at that statue but rather reveal its inner youthful core of the man—tall, handsome, and talented but unformed, emerging from a disturbed family of addicted or insane male siblings and four unusual sisters struggling under a violent alcoholic clergyman father. Alfred was certainly statuesque, but would he end up a block of unformed stone like his equally promising brothers? He was youngest of three equally regarded Tennyson brothers at Cambridge, all bright, handsome, and talented, in fact Alfred regarded by some as less promising than his elders who also wrote poetry. Yet Alfred wrote one of his major poems, “The Kraken,” at twenty, revealing both his talent, his interest in geological forces, and the haunting creature that embodied his anxieties. While Holmes focuses on Tennyson of the 1830s and 1840s, he can’t tell his story without exploring his involvement with the Victorian intellectual upheaval. Tennyson was fascinated by new scientific perspectives, following the latest findings as soon as books and articles were published. He was especially taken with Charles Lyell’s deep studies of geology and the discovery of fossils and a timeline of the planet’s development that did much to question fundamental religious assumptions. The impact of these discoveries is reflected in Tennyson’s poetry and led to the crisis in belief he shared with so many contemporaries. He was especially taken by the cycles of destruction and renewal that informed the struggles he confronted in In Memoriam, Maud, and Idylls of the King. Tennyson was only one of the eventual major figures at Cambridge at the same time, young men just beginning to realize their potential. Charles Darwin was at Christ College, although there is no evidence that he and Tennyson even met as students or later in life. Yet evolution became significant in Tennyson’s thinking and the issues of his poetry. One of Tennyson’s best and most important Cambridge friends was Edward FitzGerald, who became the translator of The Rubáiyát of Omar Khayyám and in their on and off relationship served as Tennyson’s harshest critic. FitzGerald was also a friend of the novelist William Makepeace Thackeray, the two of them partying in Paris as undergraduates. That connection led to a friendship between Thackeray and Tennyson. Others who came to play significant roles in Tennyson’s life were Thomas Carlyle, the Brownings, and the Pre-Raphaelites. Tennyson’s deepest friend at college was Arthur Hallam, who at twenty wrote a glowing review of Tennyson’s first poetry collection, travelled on European adventures with him, and fell in love with his sister Emily. Hallam was also regarded as one more very promising Cambridge student. His sudden death at twenty-two in Vienna from a stroke while travelling with his father devastated many friends, but perhaps Tennyson most of all. He did not write immediate poems of grief but took years to compile those collected in In Memoriam A.H.H., published in 1850, almost twenty years after Hallam’s death For all of Tennyson’s early poetic successes and successes, Holmes reveals him as an often troubled young man suffering periods of depression, fearing planetary upheaval, concerned about supporting himself, disappointed in romances, and worried that he would inherit the family’s mental illness tendencies. Yet despite his seeming withdrawals, he was always writing poetry that he kept private and would not let go, constantly revising. 1850 became a transformative year for Tennyson. He finally consented to publishing In Memoriam with a last-minute prologue that acknowledged God and perhaps convinced the religious Emily Sellwood to marry him after years of pursuit.. He opened up to Emily, revealing his struggles with fears of depression and “weird seizures.” The devastating event of that time was the stillborn death of his unnamed first son. It shook him, but Emily’s faith brought them closer and convinced him to believe in an afterlife. Two later sons survived. With the death of William Wordworth in April of 1950, Tennyson was named poet laureate at age forty-one, reluctantly accepting. It’s as if Tennyson’s life split in half in that year. He lived another forty years, now a recognized success, with the prestige of being an official poet writing patriotic verse, wealthy and revered, no longer the insecure young man seeking an outlet for his immense talent. He earned a place in the Authors deck, now dignified and in 1884 elevated to the peerage as Arthur, Lord Tennyson. Richard Holmes is the author of twenty previous books on the Romantics and Victorians, several of which received awards. The Boundless Deep was shortlisted for the 2025 Baillie Gifford Prize for Non-Fiction. He captures the complex vicissitudes of Tennyson’s youth, illustrated by frequent excerpts from the poetry, placing that life in the full context of the shattering discoveries that led to an upheaval of thought in the Victorian age.
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Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
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