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This dangerous vomiting and diarrhea virus is surging across the US
Cases of the virus are abnormally high this year, according to health experts, and are especially dangerous for children.
Inside the CDC’s leadership vacuum: work at a ‘standstill’ and low morale as 80% of top posts remain vacant
Current and ex-officials at the CDC warn Americans’ health security in danger under RFK Jr’s direction
Tavernier wants maximum points from split as Rangers target title
Rangers captain James Tavernier has set his side a title-clinching target of five wins from five after the split. The Ibrox side, who were 13 points adrift of leaders Hearts when Danny Rohl took charge in October, are now just a point off the pace. Rangers begin their post-split games at home to Motherwell next weekend while Hearts are at Easter Road for an Edinburgh derby against Hibernian and third-place Celtic host Falkirk.
The dangers of the Trump administration using faith to justify its war
American presidents have long sought God’s benediction in wartime and for soldiers heading into the fire of battle.
RFK Jr accused of ‘dangerous conspiracy theories’ at heated budget hearing
Trump ally grilled by lawmakers over ‘terrible decisions’ on vaccines, public health and funding cuts to key programs
'Top Gun 3' officially confirmed, Tom Cruise to return
It's time to return to the danger zone. A third "Top Gun" film has officially been confirmed, with Tom Cruise returning.
Making games in a war zone: Metro 2039’s Ukrainian developers speak out
Upcoming sequel wants to capture a "uniquely Ukrainian perspective" on the post-apocalypse.
"War is our reality": 4A reveal Metro 2039, a horror FPS inspired by Russia's invasion of Ukraine
Metro 2029 returns the FPS series to the tunnels of Moscow, but this time it's "told from a distinctly Ukrainian perspective."
Raskin v Moore: what do the stats say?
Midfielder Nicolas Raskin and on-loan Tottenham winger Mikey Moore have split opinion among fans over who should be Rangers player of the year. Raskin, who was phased out under previous boss Russell Martin, has become a key player in Danny Rohl's team as Rangers continue their push for the league title. Moore, at just 18 years old, has also been impressing since joining on a temporary spell from the English Premier League outfit.
Texas Rangers and real estate developer Vela launch sports-adjacent mixed-use firm RVX Ventures
Texas Rangers subsidiary, REV Entertainment, and developer, Vela, have launched a sports-adjacent real estate firm, RVX Ventures.
How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.
Just how fast is the future coming at us, and how worried should we be? Last week, Anthropic announced Claude Mythos, the latest in what has become the leading family of AI models. In a very short time, AI models from Anthropic and other companies have become shockingly powerful at coding. But Mythos stands out because it is not just able to write code that can hack into critical systems, like those that run financial companies, but also to analyze systems and find and string together vulnerabilities in them, allowing Mythos to evade even sophisticated defenses. Anthropic chose to release Mythos to only about 40 leading corporations, so they could analyze the model’s capabilities and prepare countermeasures, in an effort it calls Project Glasswing. The release of Mythos—and the prospect of similarly powerful AIs to follow—has caused tremors at the top levels of Washington and corporate America. Jared Kaplan, co-founder and chief science officer at Anthropic, is at the center of this breakthrough. We sat down with Kaplan so he could walk us through just how powerful Mythos is, what the implications are for issues like our personal privacy, and what comes next. This conversation has been edited for length and clarity. Sean Fischer: For the layman, how is Claude Mythos different—more powerful, more dangerous—from previous models released by Anthropic? Jared Kaplan: I think most people have experienced the fact that our computers get faster and faster over time and over many decades. There’s this very smooth trend where every 18 months, maybe, computer processing power doubles. I think AI is on a trend in which it’s improving maybe 10 times faster than that. A lot of the earliest work that I did in AI was around identifying this scaling trend in AI. Claude Mythos is the latest model from Anthropic, but it’s not different because it’s qualitatively different. It’s really just kind of the culmination of the trend of AI models getting smarter and smarter at all kinds of general capabilities, from reasoning to software engineering to scientific research to knowledge work. For us, it was the first model to demonstrate very elite-level cybersecurity capabilities. It wasn’t because we trained Claude Mythos to focus on cybersecurity, but it was because, as a byproduct of its general intelligence and its general ability with software, it’s particularly good at identifying vulnerabilities in software and how to exploit them.
Common IBS medications linked to higher risk of death in major study
A massive, nearly 20-year study tracking over 650,000 Americans with irritable bowel syndrome is raising new questions about the long-term safety of common treatments. Researchers found that some widely used medications—including antidepressants and certain antidiarrheal drugs—were linked to a small but noticeable increase in the risk of death over time.
UNC basketball target chooses ACC rival in transfer portal
UNC and Louisville are no stranger to on-court battles. The Cardinals just won a recruiting battle over the Tar Heels on Wednesday.
Life-threatening virus that causes vomiting and diarrhea at high levels in the U.S., CDC says
Rotavirus is highly contagious, fast-moving and especially dangerous for babies and young children. Doctors worry declining vaccination rates could lead to more hospitalizations.
Top 10 most dangerous animals in the world | BBC Science Focus Magazine
Which animal kills the most humans in a year? From dogs to mosquitos, here are the top 10 most deadly creatures on Earth.
NBA Playoffs 2026: NBA reviewing 'dangerous' LaMelo Ball trip of Bam Adebayo that knocked Heat center out of play-in loss
Dangerous Microsoft Windows Update Confirmed—Do Not Download
As security researchers warn about a dangerous Microsoft Windows update that isn’t, users must pay close attention to what they are actually downloading.
NBA play-in: Heat upset LaMelo Ball wasn't ejected for tripping Bam Adebayo on 'dangerous' play that knocked Miami center out of game
There were 'audible screams of delight:' Why Artemis II sightings of meteor flashes on the moon have scientists giddy
Meteorite strikes spotted on the moon by the Artemis II crew will help scientists assess dangers to future moon bases, infrastructure, and astronauts.
Dangerous Microsoft Windows Update Warning—Do Not Download
As security researchers warn about a dangerous Microsoft Windows update that isn’t, users must pay close attention to what they are actually downloading.
The economic game of chicken between Iran and the US is about to enter a dangerous new phase
Iran has been winning its economic game of chicken with President Donald Trump.
The raw milk movement is dumb and dangerous, but don’t overreact
Drinking unpasteurized milk is risky, but there are bigger public health battles to fight.
NKY Chamber's Business Councils announce achievement award winners, celebrated May 21
The Northern Kentucky Chamber of Commerce Business Councils have announced the winners of the Business Achievement Awards, which recognize outstanding member businesses in Erlanger, Florence, Fort Thomas, and Newport, for their achievements and contributions to their respective communities. The awards will be presented during the Business Council Celebration Dinner on Thursday, May 21, at Turfway...
Asking Eric: ‘Very online’ girlfriend shares too much with strangers
Letter writer is weirded out by strangers replying to girlfriend’s posts about them.
Iran: Israel’s Oil Depot Strikes Endanger Environment, Health
Israeli attacks on four oil depots around Tehran on March 7, 2026 may cause long-term health and environmental harm for civilians.
Game 16 Game Day Thread – Texas Rangers @ West Sacramento Athletics
Taking on the Yolo County A’s
Masters action shows ongoing sports-betting growth of prediction markets
Sports books are in danger of taking a backseat to prediction markets.
Dodgers Announce Lineup For Rangers Sweep Attempt
The Los Angeles Dodgers are looking to go undefeated against the Texas Rangers and complete the regular-season series sweep.
Will thrilling Scottish title race be decided on goal difference?
Rangers' 6-3 win over Falkirk extends the Ibrox side's advantage over leaders Heart of Midlothian and Celtic should the Scottish Premiership title be decided on goal difference.
'Efficient' Dodgers showing Rangers their pitching, hitting prowess
'Efficient' Dodgers showing Rangers their pitching, hitting prowess
Pokemon Champions next Battle Pass contents leak
The Pokemon Company is no stranger to leaks what with the massive Gigaleak and the Terraleak. Now on a far smaller scale dataminer, ChicoEevee, has discovered all 50 levels of Pokemon Champions Battle…
Minneapolis public safety debate back in a familiar place: anger, political squabbling
The Minneapolis City Council’s rejection of Mayor Jacob Frey’s public safety commissioner renewed the angry divisions over policing that have characterized city politics in recent years.
SPFL prepare for Old Firm play-off
The Scottish Professional Football League is preparing for a potential Old Firm Premiership play-off should the title race end in a deadlock between Rangers and Celtic. Daily Record) Lawrence Shankland looks increasingly likely to stay at Heart of Midlothian until the end of the 30-year-old Scotland striker's current contract despite long-standing interest in his signature from Rangers. (Football Insider)
Dodgers home runs back Emmet Sheehan to beat Rangers
Dodgers 6, Nimmo 3
How aggressive breast cancer turns off the immune system
Researchers are launching a new project to crack the mystery of aggressive breast cancer, where predicting disease progression remains a major hurdle. By studying how tumors interact with and suppress the immune system, scientists aim to identify new biomarkers that reveal how the cancer evolves. Using real patient samples, the team hopes to turn earlier discoveries into practical clinical tools. The goal: more precise, personalized treatments that can outsmart even the most dangerous tumors.
A Look At Madison Square Garden Entertainment (MSGE) Valuation After New Impossible Foods Partnership
Partnership with Impossible Foods puts food trends in focus for MSGE stock Madison Square Garden Entertainment (MSGE) is in the spotlight after announcing a multiyear partnership with Impossible Foods that introduces a dedicated plant-based concession concept inside The Garden. The agreement ties Impossible Foods branding to New York Knicks and New York Rangers home games and expands plant-based menu options across concourses and premium areas, giving investors a fresh angle on how MSGE...
Prediction: A Cheaper EV Could Be a Game Changer for Tesla's Business
The company hasn't said its last word.
“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.
Max Muncy, high-octane Dodgers set for rematch vs. Rangers
The Los Angeles Dodgers are the first 10-win team in the majors, and they largely have gotten there with a potent offense.
Early weight gain is linked to lifelong health consequences
Putting on weight earlier in life may be more dangerous than previously thought. Researchers found that early adulthood obesity significantly raises the risk of premature death, especially from major diseases like heart disease and diabetes. The longer the body carries excess weight, the greater the damage appears to be. Interestingly, cancer risk in women didn’t follow this pattern, suggesting other biological factors are at play.
Early weight gain is linked to lifelong health consequences
Putting on weight earlier in life may be more dangerous than previously thought. Researchers found that early adulthood obesity significantly raises the risk of premature death, especially from major diseases like heart disease and diabetes. The longer the body carries excess weight, the greater the damage appears to be. Interestingly, cancer risk in women didn’t follow this pattern, suggesting other biological factors are at play.
Dodgers' Max Muncy makes incredible MLB history
Los Angeles Dodgers star hitter Max Muncy made incredible MLB history in a win over the Texas Rangers.
TST Images: Dodgers defeat Rangers, 8-7, in Los Angeles
LOS ANGELES, CALIF.
In praise of popular science
As a kid, I was enthusiastically and unreservedly in favor of a manned space program. Our destiny lay in the stars, I figured. Get people out there. We need Star Trek here and now. As I got older, I became rather disenchanted with the idea. Humans are expensive, fragile, and inefficient as space cargo. We could flood the solar system with 100 robotic probes for the price of any single manned mission and get back just as useful data. Besides, it turns out space travel is dangerous. Tusk is a reader-supported publication. To support this work, please become a paid subscriber. Subscribe When it came to the recent Artemis II mission, my cynical side didn’t really see the point. Flying around the Moon and back is literally something we did before I was born, and I once owned a Members Only jacket. Apollo 8 circled the Moon ten times and returned to Earth safely the same month that “Chitty Chitty Bang Bang” was released. What was the point of repeating a feat that far braver people once did with tin foil and slide rules? Yet I’ve surprised myself with how moving I’ve found the Artemis II mission to be. The photos have been stunning. The crew has been professional and engaging. There have been modest but important milestones — the farthest humans have travelled from Earth; the first woman, person of color, and non-American to leave low-Earth orbit; innovations in communication, and more. One thing that really stood out is that this is really NASA at its finest. Not that this is the most important mission they ever pulled off, but they did this in a competent way that celebrated the achievements and kept the crew and the science at the forefront of the project. This wasn’t some billionaire throwing celebrities or cars into orbit as a vanity project — this was a collective effort to send experts in to do a job and come home safely. We don’t see that sort of thing much these days. I’m guessing few people would describe many government agencies as inspiring, but this one counts for me. We’re living through a profoundly anti-science era, in which pathbreaking, lifesaving discoveries like mRNA vaccines are routinely downplayed or even vilified. As I’ve noted previously, this era is something like that of the Red Scare in the 1940s and 50s, in which “egghead” professors were portrayed as out of touch or even hostile to regular Americans. One of the things that helped break that spell was Sputnik — the Soviet communications satellite that demonstrated that the United States was falling behind in crucial scientific research and applications. Its launch triggered a new appreciation for American science and goaded the federal government into supporting research universities and labs. I’m not saying that Artemis is the equivalent of Sputnik, but it potentially reminds people that there’s some value to scientific endeavors and the human faces attached to them. Despite my love for the show “For All Mankind,” I’m far from convinced that there’s any real value to putting colonies on the Moon or Mars that would justify the capital investment and the massive health risks to the astronauts. But sending scientific good will ambassadors on a trip into space once in a while? Bring it. Share
Game 13 Game Day Thread – Texas Rangers @ Los Angeles Dodgers
Venturing to the storied UNIQLO Field in LA
Blu Cow owner faces final day of business with gratitude, anger
Blu Cow owner Simone Larese is hosting a “black party” on Saturday, in which guests are invited to visit the restaurant dressed in black to mourn the loss of the Vail institution, before it closes...
Agriculture secretary’s religious Easter message to all employees sparks internal backlash and a formal complaint
A “Christ is Risen” Easter message sent by the secretary of agriculture has sparked backlash inside the department, angering some of its nearly 100,000 employees and prompting a formal complaint against the secretary for the religious message.
Masters 2026: Rory McIlroy winning a green jacket has only made him more dangerous at Augusta National
McIlroy started slow on the first nine, but confidence allowed him to 'keep swinging' his way to the top of the Round 1 leaderboard
'We got our butts kicked.' Republicans rattled by Democratic momentum ahead of midterms
Simmering discontent could boomerang on Republicans just two years after Trump harnessed voters' anger with his comeback presidential campaign.
‘A clear and present danger to the country": Democratic Congresswoman on calls for Pres. Trump to be removed from office
April Arts and Entertainment Calendar
Poetry with Garrett Ashley & Zoë Fay‑Stindt – 3 p.m. April 4 City Lights Bookstore hosts a poetry reading featuring Garrett Ashley (debut collection “Habitats”) and Zoë Fay‑Stindt. More information at: https://citylightsnc.com/event/2026-04-04/poetry-garrett-ashley-zoe-fay-stindt Piano Duo Recital: Dr. Leonidas Lagrimas and Dr. Michael Langer – 7:30 to 8:30 p.m. April 7 Pianists Leonidas […]
User anger as Amazon ends support for some older Kindles
The move means owners of Kindles released before 2013 will be unable to download new e-books.
Sabres reclaim Atlantic Division lead with comeback win over Rangers
Jason Zucker scored the tiebreaker, Ukko-Pekka Luukkonen made 17 saves, and the Buffalo Sabres rallied to beat the New York Rangers 5-3 Wednesday.
Judges keep knocking down weak DC gun cases brought by Jeanine Pirro’s office
The Trump White House touted its surge of National Guard members to Washington, DC, last summer as the way to put more dangerous perpetrators in the nation’s capital behind bars. But in nearly a dozen criminal cases since the surge began, people who were found to be carrying weapons and charged in federal court have walked free.
The danger of when government goes rogue
It’s dangerous, even fatal, when government goes rogue whether in a democracy or autocracy. Government officials who ignore or taunt laws that constrain bad acts should be given the heave ho. We’re witnessing these egregious scenarios now at the federal and the Douglas County level. Scorn of basic rules of governance at the federal level […]
Scientists thought there was a black hole at the centre of our Galaxy. It turns out it may be something even stranger | BBC Sky at Night Magazine
Could Sagittarius A* at the centre of our Milky Way galaxy be not a black hole, but dark matter instead? A new study suggests so.
Perfetti Van Melle announces Rebecca Dunphey as new president of Americas business unit
Erlanger-based Perfetti Van Melle has announced Rebecca Dunphey as the company’s new president of the Americas business unit. She assumed the role April 6. Dunphey succeeds Sylvia Buxton, who led the rapid growth of the North America business for more than seven years. Under Buxton’s leadership, the company became the third largest confectionery manufacturer in...
The war is on hold. But the economy is still in danger.
The best-case scenario for the Iran crisis is still pretty bad.
Amid license review, Camp Mystic being investigated by Texas Rangers and state health officials
Camp Mystic filed to renew its license in March. Lt. Gov. Dan Patrick has repeatedly urged state officials to reject the application.
Vincent D'Onofrio on that 'Daredevil: Born Again' cliffhanger
Vincent D'Onofrio talks that 'Daredevil: Born Again' episode 4 cliffhanger and what happens next. 'He becomes more of a loose canon,' the star says of Fisk.
Trump is expected to meet NATO leader Rutte as he muses about pulling out of the military alliance
NATO Secretary-General Mark Rutte is expected to meet with President Donald Trump to try to smooth over the president’s anger with the military alliance over the Iran war
Antibacterial products may contribute to dangerous superbug crisis, study suggests
Antibacterial soaps and cleaning wipes may contribute to antimicrobial resistance, a new study suggests, with experts recommending plain soap and water instead.
Viewpoint: FP10 should remain open, excellent and secure
Europe is right to worry about research security. Foreign interference is real. So is the misuse of sensitive knowledge. Universities working in sensitive areas such as AI, quantum, semiconductors and advanced materials cannot afford to ignore the geopolitical environment around them.But Europe is in danger of drawing the wrong conclusion, one that would increase, not reduce, its strategic vulnerabilities.If the EU applies an “EU preference” logic to the next Framework Programme for research and innovation (FP10), it will weaken one of its greatest strategic assets: a research system built on openness, excellence and international collaboration. In the name of security, Europe could end up advancing science more slowly, innovating less effectively and making itself less attractive to global talent and partners in advanced science and technology.That would be a serious mistake.The EU preference included in Article 10 of the proposed European Competitiveness Fund may make sense in some industrial or deployment contexts, but is far harder to justify when applied to collaborative research in advanced science and technology, where excellence and global connectivity are crucial. Research is not procurement. It does not thrive when isolated. It advances through access to the best ideas, the best people, the best facilities and the best data, wherever they are found. This is why FP10 should not simply absorb industrial policy logic by default. Doing so would risk importing instruments that are ill-suited to research and that ultimately increase vulnerability rather than resilience.For universities of science and technology, the issue is especially acute. These institutions sit at the frontier of knowledge and technology creation in the very fields Europe sees as critical for its future competitiveness and resilience. They know better than most that security risks are real. But they also know that openness and security are not opposites. In practice, they have to be made to work together. Research security is not about closing doors. It is about building resilience through collective responsibility, trust, proportionate safeguards and better governance. That is a fundamentally different approach from default restriction.The risks of non-collaborationThe real danger in the current debate is that Europe talks too much about the risks of collaboration and not enough about the risks of non-collaboration. Those risks are strategic too. Cut researchers off from international networks and Europe loses access to knowledge, data, infrastructures and talent. Slow down global collaboration in critical technologies and Europe slows down its own progress on cutting-edge science. Make participation rules unpredictable and Europe weakens its attractiveness to researchers and investors alike.In other words, over-restricting collaboration will create strategic vulnerabilities, particularly in advanced science and technologies.This point is often underestimated in policy discussions that frame openness mainly as a value to be defended. Europe’s scientific strength, technological development and long-term competitiveness depend on remaining connected to the best research ecosystems in the world. For a continent that wants to accelerate deep tech, strengthen industrial capacity and reduce strategic dependencies, weakening the excellence base would be self-defeating. That does not mean ignoring risk. Quite the opposite. Universities are already strengthening due diligence, internal governance, awareness-raising, screening procedures and compliance support. Across Europe, institutions are working to manage risks linked to foreign interference, sanctions, export controls and the misuse of research. The right response is not complacency. It is better risk management. But that means targeted, evidence-based and proportionate measures, not blunt top-down restrictions with wide spillover effects. In the daily reality of universities, openness and restriction often coexist. The real challenge is how to apply safeguards without sliding into securitisation that damages academic freedom, open science and international cooperation. Restrict partners, not nationsMore restrictive treatment of collaborators from European Economic Area members Iceland, Liechtenstein and Norway, or from Switzerland and the UK, is strategically very difficult to justify. These are deeply embedded partners in Europe’s research and innovation ecosystem. Beyond that, Europe should still resist default exclusion and instead rely on case-by-case assessment. The relevant question is not nationality in the abstract. It is the actual risk profile of a collaboration: the institution, the affiliations, the field, the knowledge involved, the intended use and the safeguards available. Screening should focus on institutions and affiliations rather than nationality alone. Related articlesParliament ‘misreads’ link between Horizon Europe and ECF, Commission official saysFrustration grows at governance gap in next Horizon EuropeIf EU preference logic is imported into research without careful calibration, the likely result is a chilling effect. Researchers may step back from legitimate and beneficial collaboration, even where risks are manageable. International partners may see Europe as less predictable. And Europe may end up undermining the very excellence base it needs to compete, scale up and lead in strategic technologies, thereby increasing its dependence on others.FP10 should do the opposite. It should remain open by default, with restrictions used only exceptionally, and then on the basis of clear evidence. It should integrate research security into open science and research integrity frameworks, not set them against each other. And it should recognise that academic freedom, scientific excellence and responsible international collaboration are not obstacles to Europe’s security, they are part of it. Europe needs stronger tools to protect itself. But it also needs the discipline to avoid measures that would weaken it and increase its strategic vulnerabilities in the process. In FP10, that means staying open, excellent and secure.Louise Drogoul is senior advisor for innovation and sustainability at the Cesaer university association.
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