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watchOS 27 to Offer New Watch Faces, Including 'Modular Ultra' Variant
For watchOS 27, Apple is testing new Apple Watch faces, and one of them is a simpler version of an existing Apple Watch Ultra watch face that could be coming to standard Series models. Writing in his latest Power On newsletter, Bloomberg's Mark Gurman reports that Apple is testing multiple new faces for watchOS 27, code-named "Orchid". One of them is said to be a "simplified take" on the Modular Ultra design.
With Scandals and Court Ruling, Democrats Have Big Problems Too | WSJ Politics Newsletter for May 4
Plus, the Secret Service director is facing some heat, and the U.S. plans to guide commercial ships out of the Strait of Hormuz
An asburd amount of goals, plus 3 Game 7s
The Pulse Newsletter 📣 | This is The Athletic’s daily sports newsletter. Sign up here to receive The Pulse directly in your inbox. Good morning! Make a hard decision today. Coming up: 😮💨 15 goals 😵💫 Three Game 7s 💔 Time to trade a star? Normally, we would lead this newsletter with the three Game 7s that happened across both the NBA and NHL yesterday. But we cannot ignore the the goalfest that happened in Colorado last night: The Avalanche, the Stanley Cup favorite, allowed six goals to the visiting Minnesota Wild in their opening game of the second round...
Something Nefarious Is Happening in Your Living Room Every Time You Watch TV
Music streaming services, newsletter platforms, and even Instagram are reshaping their products for the biggest screen in your house.
‘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
The politics of Trump's ballroom
WEST PALM BEACH, Florida — President Trump was about a half-hour into his second speech of the day, musing about the danger he faced last week at the White House Correspondents’ Dinner. “Saturday night, it was good for one thing. People are loving my ballroom now,” Trump told a crowd last night. “That’s the only thing. They love my ballroom.” Ever since he was hustled off stage at the Washington Hilton last week, after an attempted shooter breached the dinner’s security perimeter and sent guests diving to the floor, the president has argued that the incident is proof for why his White House ballroom is needed. Only his planned $400 million, 90,000-square-foot project, Trump has reasoned, can keep a president truly safe at major events. It’s true that a bunch of GOP lawmakers have jumped on board with new legislation and words of support for Trump’s project. House Speaker Mike Johnson, Sen. Rand Paul and other prominent Republicans went on TV to talk about the need for a ballroom. But as we reported at The Washington Post this week, “people” aren’t really changing their minds on Trump’s ballroom. A new Post-ABC News-Ipsos poll found that most Americans still oppose the ballroom project: 56 percent against it versus 28 percent in favor. The numbers are the same as a poll from last year, the Post’s polling whiz Scott Clement found. Other new polls have found similar margins, too. “I’m just not a giant fan, especially of extravagance,” one independent voter told me. “I mean, in the era we’re in right now, given how much people are struggling, it just doesn’t make a lot of sense to me to spend $400 million on a ballroom.” How we got here The Washington Post has followed Trump’s ballroom project very closely. (My colleague Jonathan Edwards may have written the most total words of any reporter about the project; I may be second.) The project exploded as a national issue after Trump tore down the White House’s East Wing after initially promising not to touch it.1 Historic preservationists sued, and about a month ago, a federal judge ordered a halt to ballroom construction.2 The only way the ballroom could proceed, U.S. District Judge Richard Leon ruled, was if Congress explicitly authorized Trump’s plans. (An appeals court has stayed Leon’s order for now.) The judge’s ruling raised an obvious question: would Congress authorize the project? Keep in mind, “authorization” doesn’t mean that Congress needs to necessarily fund the planned $400 million project; they could just sign off on the private donations that Trump has solicited to pay for the ballroom.3 But GOP lawmakers really didn’t want to talk about the ballroom, we reported at The Post just a few weeks ago. One major reason was the ballroom’s bad polling — not a small detail with many of their own midterm elections looming. The White House Correspondents’ Dinner incident, and Trump’s advocacy, may have changed the political conversation around the ballroom. As this week’s polling shows, it doesn’t seem to have affected the fundamental questions surrounding the project. To put it another way, voters still say that cost-of-living concerns are top-of-mind heading into the midterms. Some Republican and independent voters have told me that they see the ballroom as a vanity project that will help Trump but do nothing for their own lives. It might not help Republicans that Trump has dismissed some of the cost-of-living concerns. He’s described “affordability” as a buzzword manufactured by Democrats whose policies helped cause inflation. “They’ve got one good line of bullshit,” Trump said in his first speech yesterday, delivered at a Florida retirement community known as The Villages. Thanks for reading Dan Diamond's newsletter! Subscribe for free to stay up-to-date on my work. Subscribe Speaking of Trump’s speeches… I’m down in Florida because it’s my “duty week” as a White House reporter — basically, I follow the president wherever he goes. (And then hand the baton off to one of my Washington Post colleagues next week.) As part of my duty week, I’ve spent a few days covering the White House’s reaction to Saturday’s attempted shooting, including officials’ review of the security protocols to protect the president. Trump was restrained in the wake of the incident, addressing the nation from the White House briefing room about the need for peaceful dialogue and trying to lower the temperature. But he’s clearly been itching to get back out of the White House, and I was curious to hear how his Florida speeches would go. And — to my ears — it was an unburdened Trump. Not the one we saw Saturday night in the White House briefing room, but the one we witnessed on the campaign trail in 2024. Loose, dropping profanities, mocking everyone, including members of his team. “We have a man here who knows more about Medicaid, Medicare, medical crap than any human being. Where’s Dr. Oz? Where the hell are you, stand up,” Trump said, referring to Mehmet Oz, the administrator of the Centers for Medicare and Medicaid Services. “It’s the most boring trip I’ve ever made. He’s telling me about Medicare, Medicaid. All I want to do is take care of you, I don’t care. I said, ‘You work out the details.’” I wrote up the speech, as Trump headed to West Palm Beach to deliver more remarks a few hours later. The White House didn’t like my story. Their rapid-response team called it the work of a “total loser”4 and “a miserable TDS-ridden moron.” You can be the judge of whether it’s a fair story or the product of someone afflicted with “TDS.” (The White House’s shorthand for “Trump Derangement Syndrome.”) I’ve pasted the story below with a gift link, meaning that you don’t need to be a Washington Post subscriber to read it. It might prompt you for an email address, though. Meanwhile, I’ll be down in Florida for the rest of the weekend, covering the president. It’s TBD whether those stories will be deemed TDS-afflicted, too. 1 Jonathan details the past six months of ballroom fallout, reactions and the implications for executive authority here. I also had a great time talking about Trump’s ballroom and other projects with Australia’s ABC News Daily on a podcast this week. 2 The judge allowed underground construction and national security-related work to continue. But that hasn’t been enough for Trump, who says the ballroom itself is essential for his protection. 3 The ballroom donors include companies like Palantir, Google and Amazon. For transparency, Amazon founder Jeff Bezos owns The Washington Post, where I work. No one has ever interfered with our team’s coverage of the ballroom or our mentions of Amazon or Bezos, and if that changed, I’d speak out. 4 To be fair, I’ve spent the morning working on stories and writing this Substack post rather than enjoying the beautiful Florida weather. So they may be onto something about who’s winning and who’s losing.
What the Maine Senate Race Feels Like on the Ground
The anti-establishment mood is palpable in the state, home to one of the country’s top Senate contests. But Senator Susan Collins has some strengths.
The inside scoop on “The Devil Wears Prada 2”
The Yodel newsletter: Get caught up on this morning's news
U.S. Debt Smashes Through Unthinkable Milestone. Can It Be Stopped? | WSJ Politics Newsletter for May 1
Plus, Trump is poised to defy Congress over authorization for the Iran war
An incredible NBA blowout, plus LIV’s cash burn
The Pulse Newsletter 📣 | This is The Athletic’s daily sports newsletter. Sign up here to receive The Pulse directly in your inbox. Good morning! I hope you have your hat ready for tomorrow. Coming up: 😳 A historic Knicks rout 😰 Edmonton’s conundrum 💸 LIV’s cash burn We had a flight of 3-2 series matchups in both the NBA and NHL last night. I must start with an NBA clincher, though, due to a simple staggering fact: The Knicks advanced to the second round last night after beating the Hawks, in Atlanta, by 51 points. Not a typo! This was a 50-point game in the...
NWSL Power Rankings: Utah Royals make serious noise; Kansas City Current far from where they need to be
There was plenty of movement in our latest rankings as USWNT talent made big impacts
Writing science fiction with Daniel H. Wilson
On May 29 we'll discuss Wilson's book, "Hole in the Sky" and his life as an author, robotics engineer, and Cherokee citizen.
The Big Business of Marathons
Marathons have ballooned into an almost year-round opportunity for brands. Here’s how they’re capturing running share in 2026.
What Does the National Science Board Do? Experts Warn Board’s Firing Could Endanger NSF Independence, U.S. Scientific Leadership
The recent news that President Trump notified all 22 members of the National Science Board that they were being dismissed, effective immediately, has caused alarm in the scientific community because of the body’s unique role in leading the National Science Foundation – one of the world’s premiere research-funding agencies.
The King and Trump, and Why It Matters | WSJ Politics Newsletter for April 29
Plus, the Department of Justice charges James Comey for a second time and the Trump family crypto firm linked with business that had ties to a scamming ring.
The E.P.A.’s Lost Science
The agency’s prestigious research office is being dismantled by the Trump administration, a plan to dam the Bering Strait and more climate news.
Google's clinical director on AI challenges
In this edition of STAT Health Tech newsletter: a conversation with Google's clinical director, an update on Doctronic's Utah experiment, and more.
🇺🇸 Y! Sports AM: World Cup roster projections
The USMNT's World Cup roster reveal is fast approaching. Who's in? Who's out? Who's on the bubble?
Melania and Donald Trump vs. Jimmy Kimmel | WSJ Politics Newsletter for April 28
Plus, the correspondents’ dinner shooting puts Trump’s White House ballroom in the spotlight, and King Charles’s big day in Washington.
Why Are So Many Influencers Speaking at Harvard Business School?
Posing next to the acclaimed university’s signpost has become an Instagram fixture for creators invited to campus. What’s going on?
Billionaires Are Dominating California Politics, From Governor’s Race to Wealth Tax Proposal
Between Sergey Brin and Tom Steyer, ultrawealthy people are trying to guide the state’s direction.
Colorado declares April 27 ‘Denver Summit FC Day’
Gov. Jared Polis signed a proclamation declaring April 27 Denver Summit FC Day in Colorado in celebration of the state’s first professional women’s sports team. “Colorado is a sports state and Denver Summit has hit the field running, breaking NWSL attendance records at the Empower Field home opener,” Polis said. “I am thrilled the Summit […]
👟 Y! Sports AM: 1:59:30
The 2-hour marathon barrier was broken on Sunday. By two different people!
Prison or treatment? Thousands participate in mental health courts. Half graduate — and millions are left out
This story is a collaboration between Illinois Answers and the Chicago bureau of MindSite News; sign up to receive their newsletter here. Bloomington native Shayla Woodworth had struggled with mental illness and […]
Distracting from unfinished business
North Carolina House Republicans introduced a bill Thursday that would ban books from elementary school libraries and allow the state to withhold salaries from school district leaders who violate the state law known as the “Parents’ Bill of Rights.”
Business Insider launches Valued, a weekly guide to smarter spending
Business Insider is launching Valued, a weekly newsletter to help readers spend smarter, live better, and save more.
What is on the line as WSL reaches business end?
BBC Sport analyses the state of play in the Women's Super League with only a handful of games to go and the title, European qualification, relegation and promotion still to be decided.
Microsoft drops Copilot branding in Notepad for Windows 11 for everyone, but it’s really just a rename
I noticed that Notepad on my production PC was auto-updated, and it no longer has any reference to Copilot, but AI integration is not gone.
Microsoft explains why Windows 11 File Explorer scrolls smoothly in some places, but not everywhere
Microsoft has finally explained why Windows 11 File Explorer lacks smooth scrolling in all folders, blaming legacy code and complex features.
Republicans’ Likely Strategy as Midterms Near: Negative Campaigning
Republicans are likely to fall back on a tried-and-tested strategy for the midterms: Going negative.
🏈 Y! Sports AM: Welcome to the NFL
32 young men heard their names called on Thursday night in Pittsburgh.
NWSL deal reflects City Hall power struggle between Hardin and Ginther
What a NWSL funding vote shows about the deepening divide between Mayor Ginther and Council President Hardin ahead of a possible 2027 clash.
Who Approves of Congress? Virtually No One | WSJ Politics Newsletter for April 23
Plus, Pete Hegseth fires Navy secretary, John Phelan, and Republicans worry that their redistricting strategy may have backfired.
BBC Sport weekly quiz: Where will Chelsea play their WSL games next season?
How much attention have you paid to what's happened in the world of sport over the past seven days?
Why Virginia’s New Map Matters for Democrats in the Midterms, and What’s Next
Attention now turns to Florida, and the Supreme Court.
Chelsea Women to make Stamford Bridge permanent home
Chelsea Women will make Stamford Bridge their permanent home in 2026/2027.The Blues announced the news via a post on their official club website this morning.Chelsea will play all of their Barclays Wo...
D.C.’s No Good, Very Bad Week Keeps Getting Worse | WSJ Politics Newsletter for April 22
Plus, Warsh pressed on financial disclosures during confirmation hearing and a probe into intelligence officers who investigated President Trump heats up
NWSL AWARDS EXPANSION FRANCHISE TO COLUMBUS,MARKING THE LEAGUE’S 18TH CLUB | News
Haslam Sports Group, Nationwide and Drs. Christine and Pete Edwards lead movement to bring globe’s top women’s soccer league to Central Ohio for inaugural 2028 season
Columbus Crew owners get 18th NWSL franchise for record fee
The NWSL awarded an expansion franchise to Columbus, Ohio, and an ownership consortium led by the Haslam Sports Group. The new Columbus-based team will begin play in 2028.
Columbus National Women's Soccer League team to debut in 2028
Columbus is getting a National Women's Soccer League team, set to debut in 2028 at ScottsMiracle-Gro Field.
Columbus makes bid for NWSL team. Get the latest updates here
A group of potential owners that includes the Haslam Sports Group, Dr. Pete Edwards and Nationwide Insurance has been looking to bring professional women's soccer to Columbus.
Limits to health insurance program for immigrants approved by Colorado lawmakers
Colorado lawmakers voted to limit a health insurance program for immigrants without legal status as part of the budget process this year.
State health officials announce 2026’s first confirmed case of measles in Maryland
Maryland health officials warn that a Baltimore-area resident was confirmed to have measles after traveling internationally, marking the first measles outbreak of the year.
Democrats Once Loathed Gerrymandering. Now They’re Pushing for It.
The party is seeking an extra edge in Virginia at a time when its thinking has changed on the partisan drawing of political maps — in large part, leaders say, because of President Trump’s tactics.
NFL Draft landing spots for the top 10 QBs, plus what every team should do in the draft and A.J. Brown rumors
The Pick Six newsletter goes all-in on 2026 NFL Draft buzz, mock drafts and trade rumors
🏆 Y! Sports AM: Every NCAA winter champion
From basketball to gymnastics to rifle, here are all the winter champs.
Local Politics: City Council votes today on plans to turn McCoy Park into an NWSL training facility
After spending years working with neighbors and promising improvements to benefit disabled residents, elected officials are prepared to give away a 28-acre park in the poorest corner of the city for the use of billionaire investors.
MacBook Pro With Touch Screen and New Mac Studio Likely 'Postponed'
The global memory chip shortage may result in the next MacBook Pro and Mac Studio models launching later than expected, according to the latest rumor. Bloomberg's Mark Gurman has repeatedly stated that 14-inch and 16-inch MacBook Pro models with a touch screen are slated to launch in late 2026 to early 2027. In his Power On newsletter today, though, he said to be prepared for the laptops to potentially arrive towards the end of that timeframe due to the chip shortage.
Apple Testing Two Small Yet Useful iOS 27 Options
Apple is planning to add "Undo" and "Redo" options to the iPhone's Home Screen customization menu on iOS 27, according to Bloomberg's Mark Gurman. These two options will make it easier to reverse or redo your Home Screen changes. "Right now, when you long-press on the home screen, you get a bubble in the top left corner with four options: Add Widget, Customize, Edit Wallpaper and Edit Pages," he explained, in his latest Power On newsletter.
WWDC 2026 Graphic Teases Major iOS 27 Feature
Apple's WWDC 2026 graphic provides "a glimpse of the revamped Siri interface coming in iOS 27," according to Bloomberg's Mark Gurman. In his Power On newsletter today, Gurman said iOS 27 will include a new Siri interface in the Dynamic Island.
Windows 11 to get a major reliability update in May with faster clipboard, stable taskbar, storage and more
Microsoft is preparing a major Windows 11 reliability update for May 2026 with improvements across File Explorer, explorer.exe, taskbar, Settings, clipboard history, input systems, and Windows Hello. Early Insider builds show faster performance, fewer crashes, and a more stable experience.
New Mac Studio may not arrive until October
In the latest edition of Mark Gurman’s Bloomberg newsletter, he reports that the new generation of Mac Studio may not...
Microsoft is giving Windows 11 File Explorer a speed boost, dark mode fix, and reducing explorer.exe crashes
Microsoft now says it's preparing a big update for File Explorer that would allow it to run faster, address 'white flashes,' and more.
Boston researchers take home top science honors
Boston researchers were honored for their work from physics to cosmology to gene editing.
Fox News Entertainment Newsletter: Heather Locklear dating Lorenzo Lamas, reality star suffered stroke
The Fox News Entertainment Newsletter brings you the latest Hollywood headlines, celebrity interviews and stories from Los Angeles and beyond.
The AI apps are coming for your PC
Plus: Coachella week two, Beef season two, the DJI Osmo Pocket 4, and more in this week’s Installer newsletter.
Is the Saudi sports boom over?
Also in today’s newsletter: Spurs on the brink of unprecedented relegation
Microsoft confirms AI agents are still coming to the Windows 11 taskbar as it prepares for public rollout
Microsoft has clarified that it's not giving up on an agentic Windows 11 experience and is still bringing agents to your taskbar.
It’s not rocket science: UNC System leaders make the case for increased funding
There's perhaps no better advocate for North Carolina’s higher education system these days than NASA Astronaut Christina Koch.
How Dylan Patel and SemiAnalysis Grabbed Sway in Silicon Valley
For Dylan Patel, founder of SemiAnalysis, an influential AI industry newsletter and research firm, Nvidia deserves the kind of dogged observation and study the tabloid press once devoted to Princess Diana. Hescrutinizesthe chip giant’s new products,documentsits delays andscoopsdetails about its ...
⚾️ Y! Sports AM: The umps are alright
Turns out the boys in blue are remarkably good at their job
Seattle Reign FC and Sports Radio 950 KJR AM Announce 2026 Radio Broadcast Schedule
Continuing its partnership with iHeartMedia Seattle, a record 11 Seattle Reign FC matches will air on 950 KJR AM during the 2026 NWSL season, featuring a dynamic and experienced broadcast team while expanding access for fans across the Pacific Northwest; The club’s April 26 home match marks the firs
The economic outlook of women’s sports reached a tipping point this week
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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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