SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " error " 654 found 🔀 AI-powered Shuffle
Scientists were wrong about this “rule-breaking” particle
Scientists spent decades chasing signs of a mysterious new force hidden inside the muon, one of nature’s strangest particles. But after years of supercomputer calculations, researchers discovered the apparent anomaly was likely a calculation error — and the Standard Model still reigns supreme.
EXCLUSIVE: German intelligence warns Iran could expand terror operations in Europe after war
Officials warn of rise in Europe-based regime supporters travelling to Iran
Maryland ballot blunder triggers GOP push for federal review of blue state's voter rolls
Republicans call for a federal review of Maryland's voter rolls after a ballot vendor error forced the state to resend thousands of primary ballots.
Leeds 1-0 Brighton
Brighton looked dangerous when attacking and so did we. Looked like a 0-0 then Dominic Calvert-Lewin capitalised on a Brighton error and we won the game. Mark: Leeds' never-say-die approach is just awesome.
Microsoft confirms Windows 11 security update install issues
Microsoft has confirmed that the May 2026 Windows 11 security update (KB5089549) fails to install on some systems and triggers 0x800f0922 errors.
WHO declares global health emergency over Ebola outbreak
The Ebola outbreak has killed a suspected 80 people in the Democratic Republic of Congo.
Red Sox place Trevor Story on IL with groin strain, recall Nick Sogard: Source
Story has managed the injury since the start of the season with disappointing results; his OPS is .546 and he's made six errors.
Andalusia election offers clues to Spain’s political trajectory
Contest in the most populous Spanish region will help determine whether the conservative People’s Party will take a moderate or hard-line approach in the 2027 general election.
Moscow invites far-right German politicians to ‘Putin’s Davos’
At least two lawmakers in the Kremlin-friendly AfD intend to attend the St. Petersburg International Economic Forum in June.
Solar and wind —what a difference a border makes
If you ask most Americans where Colorado and Wyoming are on a map, they will likely be able to find us, somewhere out west. A few might be confused by our roughly similar shapes. Sure, Colorado is actually a 697-sided polygon (a hexahectaenneacontakaiheptagon) due to surveying errors during the 19th century. Wyoming, on the other hand, is a […]
Drilling error costs Mille Lacs County company its business
A small-town bar in Bock has closed after its owners said a drilling project damaged its sewer pipes, and no one has taken responsibility.
Former Polish Justice Minister Ziobro reportedly flees to US
Zbigniew Ziobro is wanted in Poland over the alleged misuse of public funds and the deployment of Pegasus spyware against political opponents.
Prosecutors aim to strip U.S. citizenship from diplomat-turned-spy
The Trump administration moved this week to denaturalize 11 other people accused of crimes, including child sexual abuse and providing material support to terrorists.
Discord is back after a major outage.
For more than an hour on Friday, many people were having trouble connecting to Discord, with the platform showing a message saying that there were “increased API errors.” Discord confirmed it was investigating issues at 3:08PM ET, and by 6:38PM ET, it reported that all “critical functionalities have recovered for all users.” Updates: Discord says the issues are resolved. [Image: https://platform.theverge.com/wp-content/uploads/sites/2/2026/05/slack-upload-1778269131728.png?quality=90&strip=all]
Discord down today: What is wrong with servers? Company addresses API errors - how to fix
Users across multiple regions reported issues accessing Discord today, with many complaining about API errors
The glaring error in the Virginia Supreme Court’s gerrymandering decision
The court buried itself in dictionaries and missed the obvious.
Trump administration now classifies Antifa and left-wing networks among ‘major’ terror groups
The Trump administration has classified left-wing networks like Antifa among “three major types of terror groups” the US faces, according to a counter-terrorism plan released Thursday.
Is the FDA Really Suppressing Science? Plus. . .
It’s Thursday, May 7. This is The Front Page, your daily window into the world of The Free Press—and our take on the world at large. Today: Aaron MacLean says Trump is poised to snatch defeat from the jaws of victory in the Iran war. Joe Klein on the life of CNN founder Ted Turner. Jillian Lederman on why cruise ships are here to stay. And much more. But first: Is the FDA suppressing science? On Tuesday, The New York Times published a story with an alarming takeaway. “FDA Blocked Publication of Research Finding Covid and Shingles Vaccines Were Safe,” read the headline. It is the latest in a string of stories that all have the same message: The Food and Drug Administration (FDA), and other agencies, are engaged in a cover-up—and silencing scientists trying to get the word out about the Covid vaccine. What all these stories suggest—some more subtly than others—is that the outsiders now running the public health establishment, officials such as Marty Makary at the FDA and Jay Bhattacharya at the National Institutes of Health, are on a revenge tour. That they are doing harm to the country to get back at the scientists and bureaucrats who ostracized them for deviating from the public-health consensus during the pandemic. It’s a seductive narrative. But is it true? That’s the question we address in our latest editorial. —The Editors Read [ Marty Makary's FDA Has All the Right Enemies ](https://www.thefp.com/p/marty-makary-vaccine-study-fda) [ Trump Blinks First ](https://www.thefp.com/p/iran-peace-deal-pakistan-trump-strait-of-hormuz) Aaron MacLean In return for no detectable concessions, President Trump this week gave up on forcing open the Strait of Hormuz. Now, the Trump administration looks desperate for a deal to end the war with Iran. It’s easy to understand the desire to end the war, but are they blowing the chance at victory? Aaron MacLean makes sense of the administration’s latest moves—and Iran’s response—in his column today. Read full story Aaron MacLean and Niall Ferguson: Live in New York City Join Aaron MacLean and Niall Ferguson on May 19 for a live recording of School of War at the iconic New York Historical. In a conversation as timely as it is wide-ranging, Aaron and Niall will explore the strategic stakes of the moment, including the Middle East, China, and the future of American leadership on the global stage. Get Tickets Now [ Ted Turner, the Optimist Who Built CNN ](https://www.thefp.com/p/ted-turner-cnn-tribute) Joe Klein The man who gave us CNN and the 24-hour news cycle, Ted Turner, died Wednesday at the age of 87. Today, political writer Joe Klein—who almost ghostwrote Turner’s autobiography—remembers his friend, the American media mogul who stood out for his idealism and lack of a filter—something that got Turner in trouble more than once. “His was not a traditional intelligence, but one of horizon: Ted saw things before other people did,” Joe writes. Read full story [ Nothing Can Sink the Cruise Ship ](https://www.thefp.com/p/cruise-ship-hantavirus) Jillian Lederman A viral outbreak on a cruise ship that left three passengers dead has left some people wondering: Are cruise ships on the way out? Not so fast, says Jillian Lederman, who has been on many a cruise herself. Read her piece on why 38 million people a year take a cruise—and aren’t about to stop. Read full story [ The Great Writers Who Were Terrible People ](https://www.thefp.com/p/the-great-writers-who-were-terrible) Shilo Brooks Throughout history, some of the greatest literary geniuses have also been immoral bigots. In the latest episode of Old School, Shilo Brooks is joined by Eli Lake for a conversation about those geniuses, from Voltaire to Norman Mailer and Roald Dahl—and why we should read their work despite their odious prejudices. Listen on MORE FROM THE FREE PRESS [ Inside the Digital Intifada ](https://www.thefp.com/p/digital-intifada-social-media-hamas-terror) Warren Kinsella Read full story [ This Week in American History: Trump’s Over-Arching Problem ](https://www.thefp.com/p/this-week-in-american-history-trumps-over-arching-problem) Jonathan Horn Read full story [ Humanity Is Still Evolving—and Fast ](https://www.thefp.com/p/humanity-is-still-evolvingand-fast) Razib Khan Read full story THE NEWS Thirteen D.C. Metropolitan Police officers have been placed on administrative leave and could face termination after an internal investigation found evidence that crime statistics were manipulated to make the city look safer. The Republican-led House Oversight Committee previously alleged that former D.C. police chief Pamela Smith pressured officers to skew data. Tennessee Republicans unveiled a redrawn U.S. House map yesterday that would split up Memphis’s black-majority Democratic district, the latest move in a nationwide push to redraw congressional boundaries ahead of the midterms. The effort follows a Supreme Court ruling last week on Louisiana’s districts, which Tennessee House Speaker Cameron Sexton said gave states the green light to redraw maps along partisan lines. Israel struck Beirut for the first time since a ceasefire with Hezbollah took effect last month, saying it targeted a commander of the militant group’s elite Radwan force in the city’s southern suburbs. The strikes risk destabilizing that truce at a delicate moment, as Iran and the U.S. report progress toward a deal to resolve their own standoff. The U.S. Air Force is aiming for a Fourth of July delivery of a Boeing 747 gifted by Qatar, hoping to add it to the Air Force One fleet in time for the U.S.’s 250th anniversary, Reuters reported. (For more on the controversy surrounding the aircraft, read Jed Rubenfeld’s piece “It’s a Terrible Idea, but Trump Probably Can Accept a Free Jet from Qatar.”) Commerce Secretary Howard Lutnick testified privately before Congress that he has no memory of why he and his family dined on Jeffrey Epstein’s private island in 2012, according to Reuters. The admission contradicts Lutnick’s earlier claim that he had cut ties with the convicted sex offender well before that visit. Weeks before a former JPMorgan investment banker filed a lawsuit packed with explosive allegations, the bank reportedly offered him $1 million to settle his sexual assault and harassment claims, according to The Wall Street Journal. The suit, filed by Chirayu Rana, alleges he was sexually assaulted by a female colleague, subjected to racial discrimination, and forced into a degrading dynamic at work. JPMorgan says the claims lack merit, and the female colleague’s lawyers call the accusations fabricated. A new report from the Hartford Institute for Religion Research shows that, for the first time in roughly 20 years, church attendance is trending upward, with more people volunteering and clergy expressing renewed optimism. The study’s authors described the findings, based on a survey of more than 7,400 congregations, as showing signs of widespread recovery from low attendance numbers.
Community Painting – The Red Terror burrows into our hearts
The new-old Tyranid nightmare, as painted by the wider Warhammer community.
U.S. to press allies to bolster counterterrorism efforts under new strategy
A new counterterrorism strategy, signed by President Trump on Tuesday, seeks to crack down on Islamist terror groups, drug cartels and violent domestic political groups.
Steam Controller Quickly Goes Out Of Stock After Payment Processing Issues Plague Release
The launch of the Steam Controller did not go smoothly, as many were met with error messages before it went out of stock
Microsoft Defender Misidentifies DigiCert Certificates As Malware, Triggering Global Disruptions
A significant technical malfunction in Microsoft Defender has triggered widespread alarm across the global cybersecurity community, after the platform mistakenly identified legitimate digital certificates issued by DigiCert as malicious software. The error, which surfaced in late April, led to false
Mountainside Tabletop take on the Red Terror
The team behind Mountainside Tabletop lead us on a tour of the Kill Team: Terror on Devlan boxed set.
Warhammer 40K Next Week: Kill Team Gets The Red Terror
It's a big week for Kill Team fans. A new boxed set brings two new Kill Teams and the Red Terror to your tabletop!
Newcastle 3-1 Brighton: What Hurzeler said
The first goal is unlucky decision. Bart Verbruggen has made more errors leading to goals (4) than any other player in the Premier League this season, while his 11 since the start of 2023-24 is four more than anyone else.
Study: AI models that consider user's feeling are more likely to make errors
Overtuning can cause models to "prioritize user satisfaction over truthfulness.”...
Ubuntu infrastructure has been down for more than a day
The outage has hampered communication concerning a critical vulnerability that gives root.
London sports clubs modify security measures after UK terrorism threat level raised
The threat level was raised after two members of the Jewish community were stabbed in Golders Green, north London, on Wednesday.
Sticker Mule demands Google fix ‘mislabeled’ ads tying company to CEO’s New York political campaign
Sticker Mule demands Google correct what it calls an error that labeled its commercial ads as paid for by the Constantino for Congress campaign.
Russia’s sports comeback fuels anger in Ukraine
Ahead of a key meeting about curling, a top Ukrainian minister tells POLITICO he is “deeply concerned” about the trend toward readmission.
How to watch Romania’s political chaos like a pro
As the coalition breaks apart, can centrist President Nicușor Dan find a way to contain the far right and keep the critical NATO member on a path to stability?
Time to Leave the College Nest. Now What?
Searching for a job right after graduation can be a perilous task. Here's what I learned from my journey that might help others.
Trump’s Iran showdown is becoming Europe’s political nightmare
Energy prices are rising, growth is slowing and Europe’s cash-strapped governments have few tools left to protect voters from the fallout.
How Business Strategy Changed From A Finite To An Infinite Game
Sinek showed how the finite game of playing to win should give way to the infinite game of creating customer value, but made a key error: insisting on a fixed future state
Amazon sellers share their top frustrations and challenges
One seller says avoiding Amazon fees is like navigating a fast car down a narrow lane. "There is almost no room for error."
Live Nation Entertainment, Inc. ($LYV) President, CEO and Director 2025 Pay Revealed
We estimate that the President, CEO and Director of Live Nation Entertainment, Inc. ($LYV), Michael Rapino, received a compensation of $30,500,368 in 2025. This is an increase of 85.97% from an estimated $4,279,556 in 2024.These estimates are based on a new DEF14A filing, filed with the SEC on April 23, 2026. Note that parsing errors may occur.You can track $LYV on Quiver Quantitative's $LYV stock dashboard.$LYV Stock Insider Trading Activity$LYV
Caesars Entertainment, Inc. ($CZR) CEO 2025 Pay Revealed
We estimate that the CEO of Caesars Entertainment, Inc. ($CZR), Thomas R. Reeg, received a compensation of $17,199,029 in 2025. This is a decrease of -6.82% from an estimated $18,371,934 in 2024.These estimates are based on a new DEF14A filing, filed with the SEC on April 23, 2026. Note that parsing errors may occur.You can track $CZR on Quiver Quantitative's $CZR stock dashboard.$CZR Stock Insider Trading Activity$CZR Stock insiders have traded
Ohio Senate race fundraising points to political headwinds for Republicans
This week, a Bowling Green State University poll found Husted leading Brown by three points, within the poll’s 3.9% margin of error.
U.S. Settles Carter Page Wiretap Lawsuit for $1.25 Million
F.B.I. applications to surveil Mr. Page, a 2016 Trump campaign adviser, during the investigation into Russia’s interference in the election had myriad errors and omissions, an inspector general found.
The wide-ranging fallout from the Supreme Court’s new terrorism decision, explained
The Court’s Republican majority fractured in a case that could impact everyone from immigrants to consumers.
Did Asha Sharma kill another ill-fated Xbox project? The "Xbox Mobile Store" seems to be dead.
Previously announced for launch in July 2024, the ill-fated Xbox Mobile Store seems to be dead, with all test URLs relating to it hitting a 404 error.
Responding to Today's Gaps for Tomorrow's Health Emergencies: 2026 Ready or Not Report
Join Trust for America’s Health (TFAH) for a Congressional Briefing and National Webinar on the latest information on public health emergency readiness and findings from TFAH’s upcoming report, Ready or Not 2026: Protecting the Public’s Health from Diseases, Disasters, and Bioterrorism – releasing May 7th. The past year alone saw the U.S. facing the most […]
Shaky political science: using "simulated" elections over real-world elections
[Dear DSOS readers – this article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in early December, we examined over 40 studies focused on ranked choice voting. We found that many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data, and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first three articles in our series: the first one summarizing the overall results of our report, the second one analyzing a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report, and a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research]. In this fourth article in our “Shaky Political Science” series, we shine a spotlight on seven studies that were web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group (the ERRG is an ad hoc committee headed by New America’s Political Reform Program and joined by the American Enterprise Institute, the Unite America Institute and Stanford University’s Center on Democracy, Development, and the Rule of Law). This research consortium has been led by Lee Drutman, senior fellow with New America’s Political Reform Program. These seven studies are simply not credible from any objective standard about how political “science” is supposed to illuminate our understanding of either ranked choice voting or politics in general. The feature that six of these seven studies have in common is that they all used surveys – artificial, simulated elections -- to attempt to say something cogent or interesting about ranked choice voting (RCV) elections. None of them used real world data from actual RCV elections – either the 1000+ elections in the US or the many thousands of elections from places like Australia, Ireland and elsewhere where RCV has been used for 100 years. While a few of these studies conclude with some mixed positives about RCV, our analysis here is content neutral. The idea that, with a political reform like RCV, you can ask respondents in a mock, artificial election to vote with that method, with only the barest of explanation about how RCV works or its likely impacts (i.e. no spoiler candidates, majority winners, voters liberated to pick their favorite candidates, coalition-building), and then ask them their thoughts/reactions about voting in that system, with fake candidates and no real campaigning, no real exposure to an actual election or actual candidates, rests on some very puzzling assumptions. The findings of these seven studies actually are contradicted by the findings from many other studies based on real-world RCV elections. These New America studies also failed to list the real-world RCV studies in their own citations, instead including those studies that reinforced their conclusions. The seven studies featured in this article were chosen because they form a cohesive cohort which precisely illustrates one of the main points of our research paper, namely that using surveys, i.e. artificial elections, or mathematical/theoretical models, instead of real-world data, is in fact “shaky political science.” Below are summaries of our analysis of five of the seven New America studies. You can read our complete analysis of all seven studies at our paper, “Shaky political ‘science’ misses mark on ranked choice voting.” Choosing to “Vote As Usual” by Andre Blais, Carolina Plescia, and Semra Sevi. New America. (Blais et al., 2021). This study, web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group, used two surveys in which respondents completed ballots for simulated elections using plurality, approval, RCV and point (Score) voting. In both cases the authors provided the respondents with only minimal explanation of each method. For example, the entire explanation for RCV was “For this vote, rank the candidates from your first to your last choice (you do not need to rank them all). This is called the ranked vote.” That’s it. The study did not provide any context or explanation to survey respondents about why she/he might want to rank multiple candidates. Participants were not even told that ballots would be tabulated using an “instant” runoff, not to mention any description of RCVs ability to eliminate the spoiler effect or liberate voters to rank their favorite candidates without fear of helping the “greater evil” candidate to win. That’s like taking an iPhone back in time to 1970 and asking someone if they like it better than their rotary phone without explaining how it works. Their first survey targeted states that held 2020 Super Tuesday Democratic primaries and used the real candidates’ names in the survey; the second survey used fictitious candidates. In other words, they surveyed respondents who had only ever participated in plurality elections, had no history or background with using RCV or any of the other methods, had no clue about its likely impacts, and did not communicate how the alternative methods would be counted, and then asked them: “How satisfied are you with using each system?” Predictably, the winner was plurality elections, the system used for president, Congress, gubernatorial and state legislative elections – in other words, the method they have been using, year after year, all their voting lives. With so little explanation of RCV and its impacts, this study is simply not credible in discovering anything useful about real-world RCV elections. It merely shows that a basic voter education campaign is needed when adopting a new election system. Additionally, the result contradicts many other post-election surveys following real RCV elections, asking opinions from voters who had just participated in a RCV election, that showed a great deal of satisfaction with RCV (see details on that in Studies 22-25 in our paper, as well as the four studies cited in the review for Study 28). Share Other studies on “satisfaction” and “understanding” make similar mistakes, in terms of basing their surveys on inadequate explanation to respondents and lack of education about context. How could any survey ever hope to measure accurately, in essence simulate a real-world election, without actual campaigning candidates, the media writing about those candidates, organizations endorsing candidates and voters being inundated with crucial information? More than anything, what these “studies” based on surveys show is that if you ask voters about something they don’t know very much about, and fail to adequately educate them, their responses will unsurprisingly reflect their confusion. Equally puzzling is that New America’s Electoral Reform Research Group, headed by political scientist Lee Drutman, found this to be a credible enough study that they not only published it but highlighted it in Drutman’s own discussion of research related to ranked choice voting. This pattern was repeated in study after study featured by New America’s Electoral Reform Research Group. For example in Ranked-Choice Voting and Political Expression: Voter Guides Narrow the Gap between Informed and Uninformed Citizens by Cheryl Boudreau, Jonathan Colner, and Scott MacKenzie, the researchers based their analysis on a survey which found that respondents who were asked to vote in a simulated RCV election, with minimal explanation of RCV or how it works, displayed less evidence of being informed about how to use RCV effectively, with the least informed voters ranking fewer candidates. As pointed out under the study above, in a real election voters are informed by a wide variety of methods, including public education by the election administration, by interested political groups, the media, and the candidates themselves who benefit from voters being aware of how to vote in the new system. In Support for Ranked-Choice Voting across Race and Partisanship by Joseph Anthony, David C. Kimball, Jack Santucci and Jamil Scott, the researchers used respondents from different parties and races voting in simulated plurality and RCV elections, who indicated their satisfaction with each voting method. Instead of using real world election results, the authors fell back on the easy, armchair and less reliable academic research methodology of making up mock elections. As with the other studies, little explanation was given of how RCV works or what its implications might be (electing majority winners or eliminating spoilers, for example). Unsurprisingly, this study found that respondents were not very satisfied with RCV. However, when the authors added an explanation that RCV has a tendency to elect more women and people of color, they found that this greater explanation increased the preference for RCV. The more voters were familiar with it, and the more they understood potential positive impacts – surprise! -- the more they were open to switching away from the status quo. Of note, the results from this study are thoroughly contradicted by a number of other studies whose data was obtained from real RCV elections with real voters. Those studies show a great deal of satisfaction with RCV. More “fake election” research An interesting wrinkle on this “research by fake elections” approach, which only served to illustrate how unreliable such “research” can become, was taken in Ranked-Choice Voting, Runoff, and Democracy: Insights from Maine and Other U.S. States by Joseph Cerrone and Cynthia McClintock_,_ also web-hosted and funded by New America’s ERRG. It gets high marks for creativity, but an eye-roll for thinking this could possibly add anything meaningful to our understanding of real world RCV elections. This study tried to determine whether RCV, plurality or two-round runoff elections provided greater voter satisfaction and acceptance of election results. To determine that, the authors conducted a survey asking if voters were satisfied with a fictional newspaper report of an election, with three different versions given to respondents – plurality, runoff and RCV, with variations of Republican/Democrat winners and variations of “come-from-behind” winners,” i.e. candidates not initially in first place but who win the “runoff.” Again, a minimal explanation of RCV or how it works was given, and the survey showed that respondents had the greatest unfamiliarity with RCV than the other methods. The unsurprising result? Respondents were much more satisfied with “come-from-behind” victories in a traditional two-round runoff election than in RCV, even though RCV is also a runoff system but with a single round of counting. Interestingly, the dissatisfaction with RCV disappeared for those who were more familiar with RCV. In fact, among those respondents who were “very familiar” with RCV, they were equally satisfied with RCV, runoff and plurality. Surprise, surprise. Again, what this study revealed, more than anything, is not only the inadequacy of the explanation for RCV given by the authors of this study, but the failure of the research format itself, thinking that such an artificial mock election could somehow simulate what actually happens in the real world in a real RCV election. Those four studies reviewed above are fitting examples of inadequate and shaky political “science.” Other studies reviewed in our paper from the New America/Electoral Reform Research Group cohort which also used mock elections included: Ranked-Choice Voting is an Acquired Taste by Joseph Anthony and David C. Kimball. New America. (Anthony et al., 2021). Ranked-Choice Voting is No Refuge for Extreme Candidates by Melissa Baker. New America. (Baker, 2021). Also included in this New America cohort is Does Ranked-Choice Voting Reduce Racial Polarization? by Yuki Atsusaka and Theodore Landsman, which actually did use real-world election results data but applied an odd and unconventional methodology to the data which relied on shaky assumptions and non-real-world scenarios that were too divorced from reality. To determine levels of “racially polarized voting,” the researchers imagined “ethnic parties,” by which they mean political parties for each ethnic group, which was especially odd since the election data they were using came from nonpartisan RCV races. But then they made an even odder assumption, namely that since race and ethnic characteristics of studied voters were not available, the authors tried to infer that information based on who voters selected and the racial make-up of voters in each district. This amounted to little more than vague and ambiguous guesswork dressed up with a bunch of mathematical equations used to give it a veneer of scientific appearance. Indeed, it seemed to assume racial polarization in order to prove racial polarization. Based on this questionable methodology, the authors concluded that RCV doesn’t reduce racial polarization. But the premise of this study missed an obvious reality: since RCV incentivizes more candidates to run and can result in more diverse fields of candidates, one would expect more racially-polarized voting in voters’ top rankings, not less, because more voters would have someone on that ballot who represents their racial or ethnic identity and more freedom to vote for their real first choice. By encouraging more diverse candidates and eliminating the spoiler effect, RCV facilitates voting for a favorite candidate of your own race and then selecting a second choice with the best likelihood of winning. The real measure is what voters do with their additional rankings – do they consider other candidates and vote “for the best of the rest”? This study didn’t tell us anything useful about that. But readily available data shows this is common in real RCV elections, and candidates act on this knowledge by engaging with voters outside their racial group. So the authors of this study failed to consider or account for what actually happens in real-world elections, and their conclusions are tainted by this failure. New America has contributed a great deal over the past 2.5 decades to our understanding of many policy areas, including politics and political reform (full disclosure: Steven Hill, one of the authors of this article and of the “Shaky Political Science” research paper and series, is a former senior fellow and former director of New America’s political reform program, 2005-2010). So it was especially disappointing that New America funded and published such a large batch of dubious studies about ranked choice voting. The stated praiseworthy goal of its Electoral Reform Research Group was to inspire new academic research about ranked choice voting that would shed light and help the public better understand the impacts of RCV. Instead, the ERRG research did just the opposite. It produced dubious research that created more confusion and misinformation. In so doing, New America’s political reform program contributed to “shaky political science.” Steven Hill and Paul Haughey Share Upgrade to $5 subscription Thanks for reading DemocracySOS, a reader-supported digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
Romania plunges back into political turmoil as Social Democrats move to topple PM
Prime Minister Ilie Bolojan’s coalition partners accuse him of destroying “our social base” with austerity program.
Le Pen, Bardella offer to slash red tape in overture to business leaders
French far-right leaders are on a mission to woo the business community ahead of the 2027 presidential election.
Analysis: Silk and steel win the day
Manchester City secured the victory that maintains their growing momentum and applied further pressure on Arsenal through the familiar route of a Erling Haaland winner. Rayan Cherki's goal was the result of a touch of genius and sleight of foot to bamboozle Arsenal's Gabriel and Piero Hincapie before sliding in a perfect finish. After Gianluigi Donnarumma's error swiftly gifted Arsenal a way back into the game, City had to dig deep to show reserves of resilience before Haaland was once more the match-winner.
Exclusive | Ilhan Omar Says She Isn’t a Multimillionaire, Blames Accounting Error
The Minnesota Democratic congresswoman, facing potential investigations pushed by President Trump and House Republicans, said she isn’t as wealthy as documents she previously submitted to Congress suggest.
Pirates Konnor Griffin takes responsibility for error vs. Nationals
Pittsburgh Pirates shortstop Konnor Griffin's error contributed to the loss to the Washington Nationals, which the rookie took full responsibility for.
Flutter Entertainment plc ($FLUT) CEO 2025 Pay Revealed
We estimate that the CEO of Flutter Entertainment plc ($FLUT), Peter Jackson, received a compensation of $19,695,957 in 2025. This is a decrease of -12.58% from an estimated $22,174,060 in 2024.These estimates are based on a new DEF14A filing, filed with the SEC on April 16, 2026. Note that parsing errors may occur.You can track $FLUT on Quiver Quantitative's $FLUT stock dashboard.$FLUT Stock Insider Trading Activity$FLUT Stock insiders have trad
What's next for Bondi, free speech tests & TPS under fire: IFP
Pam Bondi gets fired, but will she testify? A new law lets DeSantis designate "domestic terrorists" and Trump rails against a federal refuge program.
Fighter pilot Rumen Radev looks to break Bulgaria’s political deadlock
Radev is vowing to combat the country’s oligarchs and mafia, but his Kremlin-aligned positions on Ukraine have sparked concern.
‘I thought it was me as a doctor’: 10 of the best political excuses ever
From Boris Johnson to Rudy Giuliani, top politicians have come up with some imaginative justifications for alleged misbehavior.
The winner of the Mandeville-Newman regular season finale benefited from 14 free passes
Mandeville's errors and free passes are pivotal against Newman and offer valuable lessons for future playoff success in Division I nonselect.
Towards better vision: WHO South-East Asia regional meeting on eye health
The WHO South-East Asia Regional Meeting on Eye Health was convened to address the substantial and persistent burden of avoidable vision impairment in the Region. South-East Asia accountsfor nearly one third of the world’s blind and visually impaired population, with cataract, uncorrected refractive error, and diabetic retinopathy contributing to more than 90 percent of cases. The meeting responded to the need for coordinated action to achieve the 2030 global targets for effective cataract surgical coverage and effective refractive error coverage, and to advance implementation of the Regional Action Plan for Integrated People Centred Eye Care. It provided a platform for reviewing progress, identifying system gaps, and strengthening country pathways to accelerate universal access to quality eye care.
Lessons from the OIG: Common Billing Errors Texas Home Health Providers Need to Know | Insights
The Texas Health and Human Services Office of Inspector General (HHSC-OIG) quarterly report highlights common billing errors and compliance issues in home healthcare settings.
FULL SHOW: Inside INdiana Business 4/12/26
.video-js, .video-js .vjs-tech { position: relative; width: 100%; height: auto; z-index: 0; } var player = videojs('player_block_43d59ed240e49efe2fe7651ae8a70894'); player.nuevo({ contextMenu: false }); var vast = { started: false, paused: false, resumed: false, ended: false, }; var video = { started: false, paused: false, resumed: false, ended: false, } var event_label = 'Video: 200642 - Article: FULL SHOW: Inside INdiana Business 4/12/26'; var post_id = 200640; var post_url = "https://www.insideindianabusiness.com/videos/full-show-inside-indiana-business-4-12-26"; player.vastAds({ tagURL: "https://servedbyadbutler.com/vast.spark?setID=13487&ID=177008&pid=117129", id: "PreRoll" }); player.on('vast.adStart', function() { vast.started = true; }); player.on('vast.adError', function() { vast = { started: true, ended: true }; }); player.on('play', function() { if (vast.ended && !video.paused) { video.started = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Played", eventLabel: event_label }); var audio_insight_data = { event_type: "video_played", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } if (video.started && video.paused) { video.resumed = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Resumed", eventLabel: event_label }); var audio_insight_data = { event_type: "video_resumed", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('pause', function() { if (vast.ended) { video.paused = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Paused", eventLabel: event_label }); var audio_insight_data = { event_type: "video_paused", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('ended', function() { //vast.adEnd fires after ended, pointless to use. vast.ended = true; if (video.started && !video.ended) { video.ended = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Ended", eventLabel: event_label }); } var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: 100, }, ...insight_data, }; insight.track(audio_insight_data); }); player.on('fullscreenchange', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Fullscreen Toggled", eventLabel: event_label }); }); player.on('enterpictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Opened", eventLabel: event_label }); }); player.on('leavepictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Closed", eventLabel: event_label }); }); let lastReportedPercentage = 0; player.on('timeupdate', function() { const currentTime = player.currentTime(); const duration = player.duration(); if (duration) { const progressPercentage = Math.floor((currentTime / duration) * 100); if (progressPercentage % 5 === 0 && progressPercentage !== lastReportedPercentage) { lastReportedPercentage = progressPercentage; var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: progressPercentage, }, ...insight_data, }; insight.track(audio_insight_data); } } });
The Universe is expanding too fast and scientists still can’t explain it
A major international effort has produced an ultra-precise measurement of the Universe’s expansion rate, confirming it’s faster than early-Universe models predict. By linking multiple distance-measuring techniques, scientists ruled out simple errors as the cause of the discrepancy. The persistent “Hubble tension” now looks more real than ever. It could mean our current model of the cosmos is incomplete.
“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.
Masters 2026: Brooks Koepka's driver was set to the wrong setting
Koepka noticed the error after his round on Thursday at Augusta National.
Trump administration admits a glaring error in its New York health fraud accusations
The error, admitted first to the AP, prompted health analysts to question how many of the Republican administration’s sweeping anti-fraud efforts were based on faulty findings.
A New Case Exposed the Clever Workaround the FBI Uses to Read 'Secure' Messages on iPhones
Law enforcement used Apple's push notifications database to gather messages sent through Signal, and convict defendants for terrorism activities.
AP report: Trump administration admits a glaring error in its New York health fraud accusations
The error, which the administration admitted first to The Associated Press, prompted health analysts to question how many of the Republican administration’s sweeping anti-fraud efforts around the country were based on faulty findings.
Diablo II: Resurrected PTR 3.2 Coming Soon
The 3.2 PTR introduces balance changes for the Warlock Class, alongside updates to Terror Zones. Jump into the PTR to experience them firsthand on April 14 at 10:00 a.m. PT.
Trump administration admits a glaring error in its New York health fraud accusations
NEW YORK (AP) — President Donald Trump's administration this week acknowledged it made a significant error in figures it used to help justify a fraud probe into
Trump administration admits a glaring error in its accusations about New York health care fraud
President Donald Trump's administration has admitted to a major error in data used to justify a federal fraud probe into New York’s Medicaid program.
Trump administration admits a glaring error in its accusations about New York health care fraud
The Trump administration this week acknowledged it made a significant error in figures it used to help justify a fraud probe into New York’s Medicaid program
Trump admits error in accusations about New York health care fraud
The error prompted health analysts to question how many of the Republican administration’s sweeping anti-fraud efforts around the country were based on faulty findings.
Trump administration admits error in accusations about N.Y. health care fraud
President Donald Trump’s administration this week acknowledged it made a significant error in figures it used to help justify a fraud probe into New York’s Medicaid program.
Trump administration admits a glaring error in its accusations about New York health care fraud
NEW YORK (AP) — President Donald Trump's administration this week acknowledged it made a significant error in figures it used to help justify a fraud probe into New York’s Medicaid program, a glaring mistake that undercuts a federal campaign to tackle waste, mostly in Democratic-led states.
Trump administration admits error in New York health care fraud probe
President Donald Trump's administration has admitted to a major error in data used to justify a federal fraud probe into New York’s Medicaid program.
NBA Issues Update After Investigating Kings, Doug Christie
The NBA cleared Kings coach Doug Christie after investigating his late-game foul on Seth Curry vs. the Warriors, ruling it a strategic error, not tanking.
FBI Extracts Suspect’s Deleted Signal Messages Saved in iPhone Notification Database
The case was the first time authorities charged people for alleged “Antifa” activities after President Trump designated the umbrella term a terrorist organization.
No errors in learning about Shakespeare
PUTNEY — Students participating in The Grammar School rendition of “A Comedy of Errors” have been working for weeks to master their lines in this Shakespearean classic that opens Friday
Italy’s Giorgia Meloni attempts political reset after referendum defeat
Facing voter backlash and an energy-driven economic squeeze, the prime minister is recalibrating her ties with Washington
Developer of VeraCrypt encryption software says Windows users may face boot-up issues after Microsoft locked his account
The maker of the popular open-source file encryption software VeraCrypt said Microsoft locked his online account, which may prevent device owners from booting up their computers.
Gov DeSantis: ‘Political and cultural bonds’ with parts of Europe have ‘eroded’
Florida Gov. Ron DeSantis discusses his new law allowing the state to designate groups as terrorist organizations and criticizes several European countries over their immigration policies on ‘Hannity.’
The year in review: Influential people who have died in 2026
As director of the FBI, Robert S. Mueller III transformed the agency into a terrorism-fighting force after the Sept. 11, 2001, attacks. But Mueller, who died in March, is perhaps
Gov. DeSantis signs domestic terrorist bill that Democrats fear will lead to crackdown on college liberals
The Governor said he expects Florida will be sued over the new legislation.
Ukraine beats Russia at world’s top sports court
The chess ruling in Kyiv’s favor sends signal that “aggression cannot be normalized through sporting institutions,” top Ukrainian official tells POLITICO.
AI breakthrough cuts energy use by 100x while boosting accuracy
AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, researchers have unveiled a radically more efficient approach that could slash AI energy use by up to 100× while actually improving accuracy. By combining neural networks with human-like symbolic reasoning, their system helps robots think more logically instead of relying on brute-force trial and error.
When hospitals become corporations, what happens to patient safety?
In many medical malpractice cases, the public imagines a careless doctor making a single catastrophic mistake. In reality, serious medical errors are often the result of systemic pressures that pus…
FULL SHOW: Inside INdiana Business 4/5/26
.video-js, .video-js .vjs-tech { position: relative; width: 100%; height: auto; z-index: 0; } var player = videojs('player_block_c8de8a67db97cc5ced3a7646403487eb'); player.nuevo({ contextMenu: false }); var vast = { started: false, paused: false, resumed: false, ended: false, }; var video = { started: false, paused: false, resumed: false, ended: false, } var event_label = 'Video: 200319 - Article: FULL SHOW: Inside INdiana Business 4/5/26'; var post_id = 200330; var post_url = "https://www.insideindianabusiness.com/videos/full-show-inside-indiana-business-4-5-26"; player.vastAds({ tagURL: "https://servedbyadbutler.com/vast.spark?setID=13487&ID=177008&pid=117129", id: "PreRoll" }); player.on('vast.adStart', function() { vast.started = true; }); player.on('vast.adError', function() { vast = { started: true, ended: true }; }); player.on('play', function() { if (vast.ended && !video.paused) { video.started = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Played", eventLabel: event_label }); var audio_insight_data = { event_type: "video_played", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } if (video.started && video.paused) { video.resumed = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Resumed", eventLabel: event_label }); var audio_insight_data = { event_type: "video_resumed", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('pause', function() { if (vast.ended) { video.paused = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Paused", eventLabel: event_label }); var audio_insight_data = { event_type: "video_paused", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('ended', function() { //vast.adEnd fires after ended, pointless to use. vast.ended = true; if (video.started && !video.ended) { video.ended = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Ended", eventLabel: event_label }); } var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: 100, }, ...insight_data, }; insight.track(audio_insight_data); }); player.on('fullscreenchange', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Fullscreen Toggled", eventLabel: event_label }); }); player.on('enterpictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Opened", eventLabel: event_label }); }); player.on('leavepictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Closed", eventLabel: event_label }); }); let lastReportedPercentage = 0; player.on('timeupdate', function() { const currentTime = player.currentTime(); const duration = player.duration(); if (duration) { const progressPercentage = Math.floor((currentTime / duration) * 100); if (progressPercentage % 5 === 0 && progressPercentage !== lastReportedPercentage) { lastReportedPercentage = progressPercentage; var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: progressPercentage, }, ...insight_data, }; insight.track(audio_insight_data); } } });
Lander students win divisions, receive special accolades at 2026 Sceince Fair in Laramie
(Laramie, WY) – Several Lander students made an impact at the Wyoming State Science Fair in March, held at the University of Wyoming, where there were approximately 130 student competitors from across the state who had qualified during the regional science fairs. County 10 caught up with Lander advisor Sam Hartpence, who oversaw students Carson […]
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:
Silverman: How human error built some of Colorado’s greatest sports moments
New technology is embarrassing sports officials, but history shows Colorado teams benefiting from bad calls
Firings, mismanagement leave FBI unprepared for terrorism
Instead of using targeted enforcement, the Trump administration has favored quantity over quality.
Italian football chief resigns after World Cup debacle provoked political outcry
Members of Giorgia Meloni’s coalition urged Gabriele Gravina to step down after Italy lost to Bosnia and Herzegovina earlier this week.
Bondi Is Vulnerable as Republican Frustrations Over DOJ’s Epstein Files Missteps Grow
Attorney General Pam Bondi’s critics inside and outside the administration say she has made unforced errors that have turned the Justice Department’s handling of the Epstein files into a political crisis.
Italy’s World Cup fiasco sparks political fury
Fallout from Bosnia defeat was the first thing on the parliamentary agenda Wednesday morning.
Inspector general's report says human error, not political motive, to blame for release of Mikie Sherrill's military records
The inspector general for the National Archives concluded human error, not political motivations, was to blame for the release of New Jersey Gov. Mikie Sherrill's military records last year.
Transgender sports participation initiative challenged
Challengers say if the errors are corrected, the petitioners would fall below the 67,682 signatures need to qualify for the November ballot.
Bruce Springsteen brings 'Streets of Minneapolis' home to launch a political US tour
a e p n terrorism politics immigration u-s-news general-news entertainment | Talk Radio 1210 WPHT
Bruce Springsteen brings 'Streets of Minneapolis' home to launch a political US tour
a e p n terrorism politics immigration u-s-news general-news entertainment | KMBZ
Bruce Springsteen brings 'Streets of Minneapolis' home to launch a political US tour
a e p n terrorism politics immigration u-s-news general-news entertainment | Talk Radio 1210 WPHT
Bruce Springsteen brings 'Streets of Minneapolis' home to launch a political US tour
a e p n terrorism politics immigration u-s-news general-news entertainment | KCBS All News 106.9FM and 740AM
Under fire from legislators and critics, Colorado’s top Medicaid official resigns
Kim Bimestefer resigned Monday as Colorado’s top Medicaid official, stepping down just as a bipartisan bloc of state senators prepared to formally urge Gov. Jared Polis to remove her over what they called years of mismanagement, waste and costly errors inside the state’s largest agency. In her resignation statement released by the governor’s office, Bimestefer […]
Microsoft pulls KB5079391 Windows update over install issues
Microsoft has pulled a buggy Windows 11 non-security preview update to investigate a known issue that triggers 0x80073712 errors during installation.
All INdiana Politics
Jamsheed Choksy discusses the risk of terror attacks and cyber threats in Indiana, while Diego Morales explains his voter registration decision.
Science Central unveils new planetarium
.video-js, .video-js .vjs-tech { position: relative; width: 100%; height: auto; z-index: 0; } var player = videojs('player_block_ddba52d325c19665beaa99c1e51cc416'); player.nuevo({ contextMenu: false }); var vast = { started: false, paused: false, resumed: false, ended: false, }; var video = { started: false, paused: false, resumed: false, ended: false, } var event_label = 'Video: 199999 - Article: Science Central unveils new planetarium'; var post_id = 200028; var post_url = "https://www.insideindianabusiness.com/videos/science-central-unveils-new-planetarium"; player.vastAds({ tagURL: "https://servedbyadbutler.com/vast.spark?setID=13487&ID=177008&pid=117129", id: "PreRoll" }); player.on('vast.adStart', function() { vast.started = true; }); player.on('vast.adError', function() { vast = { started: true, ended: true }; }); player.on('play', function() { if (vast.ended && !video.paused) { video.started = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Played", eventLabel: event_label }); var audio_insight_data = { event_type: "video_played", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } if (video.started && video.paused) { video.resumed = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Resumed", eventLabel: event_label }); var audio_insight_data = { event_type: "video_resumed", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('pause', function() { if (vast.ended) { video.paused = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Paused", eventLabel: event_label }); var audio_insight_data = { event_type: "video_paused", data: { video_id: post_id, video_url: post_url }, ...insight_data, }; insight.track(audio_insight_data); } }); player.on('ended', function() { //vast.adEnd fires after ended, pointless to use. vast.ended = true; if (video.started && !video.ended) { video.ended = true; window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Ended", eventLabel: event_label }); } var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: 100, }, ...insight_data, }; insight.track(audio_insight_data); }); player.on('fullscreenchange', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Fullscreen Toggled", eventLabel: event_label }); }); player.on('enterpictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Opened", eventLabel: event_label }); }); player.on('leavepictureinpicture', function() { window.dataLayer.push({ event: "Videos", eventCategory: 'Video', eventAction: "Video Picture-in-Picture Closed", eventLabel: event_label }); }); let lastReportedPercentage = 0; player.on('timeupdate', function() { const currentTime = player.currentTime(); const duration = player.duration(); if (duration) { const progressPercentage = Math.floor((currentTime / duration) * 100); if (progressPercentage % 5 === 0 && progressPercentage !== lastReportedPercentage) { lastReportedPercentage = progressPercentage; var audio_insight_data = { event_type: "video_completed", data: { video_id: post_id, video_url: post_url, percentage: progressPercentage, }, ...insight_data, }; insight.track(audio_insight_data); } } });