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Diamondbacks capitalize on Blue Jay mistakes, win series opener
D-Backs capitalized on Blue Jay mistakes and walked out victors in their return home.
5 mistakes to avoid on your first long-distance Amtrak ride
I took the 20-hour Amtrak route between Chicago and New York. These five mistakes kept me from enjoying it more.
‘Save the Garden’ turns to embattled lawyer as petition effort falters
Sabatini claims a mistake that led to the petitions' rejection shouldn't be cause for dismissal, but another legal expert disagrees.
UNC Hussman offers new sports play-by-play class | UNC Hussman School of Journalism and Media
This story, written by UNC Hussman alumna Caroline Daly ’24, was originally published on unc.edu. The UNC Hussman School of Journalism and Media has a new, hands-on class available for students interested in sports careers. Students in “MEJO 390: Sports Commentary and Play-By-Play” can call live radio broadcasts for Carolina sporting events, streamed live on the Go Heels website. This spring, 11 students are calling mostly softball games to gain experience and learn the preparation needed for a successful broadcast. The class is capped at a small number to provide consistent, individual feedback. Matt Krause, the radio voice of Carolina women’s basketball, teaches the class to help students sharpen their skills, using his experience with the Tar Heels and calling games for ACC Network and ACC Network Extra. “There is no substitute for live reps, and that is the only way you get better. The classroom component teaches you how to get better, but going about that requires sitting in that chair, making mistakes and being able to know your broadcast is going somewhere,” Krause said. “These students are doing real live games, and they will have tape where if they want to pursue this. They will have ready-made demos to send for jobs. Being able to utilize all the resources of UNC, GoHeels Productions and the Carolina Athletics brand and create these opportunities for students is really impactful.” In the class, students learn fundamentals like how to announce starting lineups for different sports and how to conduct research before games. Krause has led the class in mock preparation exercises, looking at game charts with information about the different teams and players that they can refer to at pivotal moments during the game. Krause and the students then critique each other, listening to clips from the past week to find ways to improve. It’s a rare class without a slew of quizzes or assignments. Their main tasks are calling games and making a portfolio or demo reel of their best calls at the end of the semester, all with the goal of being ready to step into similar roles after graduation. Laible live streams her coverage on the GoHeels website. Calling a live game while broadcasting her coverage allows her to get hands on experience. (Jon Gardiner/UNC-Chapel Hill) Junior Anna Laible ’27 wished for a class just like this. Her first year at Carolina, she interned with the Coastal Plain League, where she was introduced to play-by-play for baseball. “I enjoy the challenge and uncertainty of each game being different because each sport looks a little different,” said Laible. “Each game is different — not just with teams but what could happen with certain records being broken or random trends. That’s what I enjoy most.” She wanted more opportunities for reps during college to prepare for a career after Carolina, so she pitched an idea for the class to Livis Freeman ’99, distinguished associate professor of sports communication. Laible and Freeman reached out to GoHeels Productions for a partnership and then connected with Krause. “This is how at UNC Hussman we separate ourselves: Our students go into the field ready,” said Freeman. “The biggest compliment we get it is when our students start their careers, they don’t need any hand-holding.” Laible calls a Carolina softball game at Kessing Stadium – after pitching the idea to Hussman faculty. Her interest in sports commentary allowed her to apply her interest as she attends Carolina. (Jon Gardiner/UNC-Chapel Hill) Laible is now a student in the class, which has helped her strengthen her skills and deepen her passion for the field. The goal is to expand to other sports like soccer, lacrosse and field hockey. “The hands-on experience I’ve gotten here is invaluable. I’ve loved the classes and professors because they’ve taught me a lot, but it’s also the things outside of class, too, that have helped me grow,” said Laible. “Since being at UNC, I’ve grown a lot in the versatility, from doing writing to production and commentating. UNC Hussman and Carolina have given me the ability to be strong and well rounded.”
Avoid these common small business tax mistakes
Block Advisors Strategy and Small Business Program Manager, Latasha Randle, chats with Host, Elizabeth Gore, about how self-employed entrepreneurs can simplify taxes, retirement, and healthcare planning. Randle shares practical advice on staying organized year-round, maximizing deductions, and building long-term financial security through proactive planning.
Exynos 2600 Was Born Out Of Sheer Necessity And Wouldn’t Have Entered Mass Production If Samsung’s Mistakes Not Cost It $3 Billion Last Year
As Samsung races towards self-sufficiency in the chipset race, it only mass produced the Exynos 2600 because it lost $3 billion in 2025
Rep. Eric Swalwell will resign from Congress following sexual misconduct allegations
The California Democrat said in a statement he was “deeply sorry to my family, staff and constituents for mistakes in judgment I’ve made in my past.”
Senate Republican calls proposed NASA budget cuts a ‘mistake’
Republican Sen. Jerry Moran (R-Kan.) on Sunday criticized the Trump administration’s proposed cuts to NASA. “I think it would be a mistake to put money only in the missions related to explora…
Pirates made a mistake signing Marcell Ozuna over Andrew McCutchen
The Bucs made a bad decision.
“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.
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.
Nancy Guthrie’s kidnappers may have made fatal health mistake: Detective
“It just scares me to think that somebody maybe took Miss Guthrie, and she had some sort of medical event.”
Jacksonville Bold for 4.8.26: Learning from mistakes
Republicans regroup for Jacksonville Mayor race as campaign season intensifies.
Nancy Guthrie Kidnappers Likely Made This Fatal Mistake, Says Investigator
The 84-year-old mom of Savannah Guthrie has been missing for ten weeks.
Nancy Guthrie Kidnappers Likely Made This Fatal Mistake, Says Investigator
The 84-year-old mom of Savannah Guthrie has been missing for ten weeks.
People visiting Japan are too scared of breaking rules, says local
As a resident of Japan, I've seen tourists to my country scared to break rules or make etiquette mistakes. But respect matters more than perfection.
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.
The world’s “oldest octopus” was never an octopus
A famous “oldest octopus” fossil has been exposed as a case of mistaken identity. Advanced imaging revealed hidden teeth showing it was actually related to a nautilus, not an octopus. The confusion came from decay that altered its shape before fossilization. This discovery rewrites part of evolutionary history, pushing the true origin of octopuses much later in time.
The biggest mistake HR leaders make when pitching new benefits to their CFO
HR leaders who pitch wellness programs by leading with employee happiness are making a costly mistake. The secret? Crunch the numbers.
Apple’s Update Mistake—Hundreds Of Millions Of iPhones Affected
Why you need to change your iPhone settings now — don't leave this until it's too late.
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…
🎥 Ben White's nightmare continues with shocking FA Cup mistake
It's not easy being Ben White at the moment.The Arsenal defender found himself booed by England supporters on his long-awaited international return, and things have not gotten much better at club leve...
Chicago travel mistakes I made as a first-time tourist
I spent two days in Chicago for the first time. I regretted exploring too many neighborhoods and visiting in the winter.
Royals’ Carter Jensen scratched from game after oversleeping
We've all heard about rookie mistakes, and Kansas City Royals rookie Carter Jensen certainly made one today.
Oakland made a big financial mistake failing to collect business taxes, audit finds
The city may have missed out on millions of dollars in revenue from a bureaucratic shuffle in 2022.
Wyman Duggan outlines GOP strategy to make Donna Deegan a one-term Jacksonville Mayor
The ultimate major Republican candidate is TBD but the party won't repeat past mistakes.
Mistakes on my first cruise on Royal Caribbean's Wonder of the Seas
After my first cruise aboard Royal Caribbean's Wonder of the Seas, I wished I'd booked a different room and flight home.
Viewpoint: New taxes on sports betting in Michigan create risks for players
Gov. Gretchen Whitmer’s proposed taxes on legal sports betting and iGaming are a mistake – and one that Illinois has already made.
How to get Mimikyu in Pokémon Go
How to catch Mimikyu in Pokémon Go. Just make sure you don't mistake it for Pikachu!
Some are celebrating, but World of Warcraft's move away from the "Horde" and "Alliance" faction split will be seen as a historic mistake
Not only does it undermine decades of lore and world building, but player identity is how you reach your audience when they're *not* gaming. WoW's iconic faction split is under threat, and that's a bad thing actually.
Apple Intelligence Accidentally Goes Live in China Before Regulatory Approval
Apple accidentally started rolling out Apple Intelligence features in China before receiving regulatory approval, reports Bloomberg's Mark Gurman. Some Chinese users began seeing Apple Intelligence features listed as available and active in the Settings app on their iPhones, but Apple made no formal announcement. Gurman says that Apple is not planning to launch the feature imminently, and that its availability was a mistake. Apple has since removed the Apple Intelligence features.
Head of Colorado’s Medicaid program resigns as state Senate was preparing to take “no confidence” vote
Kim Bimestefer’s resignation comes as the state Medicaid program has dealt with billing mistakes and scrutiny over past spending
What to stream in April 2026: ‘The Testaments,’ ‘Big Mistakes’
Here's what's coming to Netflix, Hulu, Disney+, HBO Max, Prime Video, Peacock, Paramount+ and other streaming services in April.
Federal lawyers admit error in ICE court arrests case
Federal attorneys said the mistake came from ICE, calling it an agency attorney error.
Bikes Keep Honda Afloat Yet Even That Business Is Under Pressure
Honda Motor Co.’s costly misfire on electric cars has dramatically increased the stakes for the company to avoid making the same mistakes with motorcycles.
New business owner? Here's how to find, screen and hire employees fast
Hiring your first employees doesn't have to take long. Here's how to move quickly without making costly mistakes.
The Cowboys are making a mistake with this move
The Cowboys still have to find help at linebacker.
Outrageous antics and mistaken identities abound
How far would you go to protect your son, your lover and your secret about your brownies?
‘Very foolish mistake’: Trump lashes out at NATO allies over their refusal to help
NVIDIA’s DLSS 5 Reveal Was a Mistake, Needs to Go Back to the Drawing Board, Says Eternal Darkness Dev Denis Dyack
Eternal Darkness creator Denis Dyack calls NVIDIA's DLSS 5 reveal a mistake and adds that it needs to go back to the drawing board.
Zach Braff was mortified when Michael Fassbender mistook him for Dax Shepard in Vegas nightclub
Zach Braff is still mortified after being mistaken by a spirited Michael Fassbender for Dax Shepard in a packed Vegas nightclub. 'I was so embarrassed,' he confessed to on his look-a-like's podcast.
Opinion: The Midwest is chasing the wrong innovation strategy
Rather than building capital density at home, Midwestern research universities have chosen physical proximity to the dominant ecosystem. Here's why that may be a mistake.
Trump says NATO's refusal to help on Iran is 'very foolish mistake'
Trump called on nations to help police the Strait of Hormuz after Iran responded to U.S.-Israeli attacks by using drones, missiles and mines to \u200ceffectively close the channel for tankers.
Vance trusts Trump won't repeat past war mistakes in Iran
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Burger King splashed on Oscars ads to admit mistakes, promise changes
Burger King dazzled Oscars viewers with a self-deprecating ad campaign, announcing it had fired its "King" mascot and revamped the Whopper.
The Democrats are about to make a trillion-dollar mistake
The party must not surrender to the tax revolt.
Hegseth’s Boasts of ‘Maximum’ Engagement Authorities Face Scrutiny After School Is Hit
The defense secretary has disparaged restrictive rules for opening fire that are aimed at reducing the risk of mistakes and civilian casualties.
Make no mistake, Kyler Murray will be the Vikings' starting QB. So what happens with J.J. McCarthy?
You're aging yourself faster if you make these 7 mistakes — and what you can do about it with the least effort
Has Tudor 'completely destroyed' Kinsky's career?
Tottenham replaced goalkeeper Antonin Kinsky in the 17th minute of their Champions League last-16 tie at Atletico Madrid after conceding three goals. The Czech Republic international, 22, endured a nightmare start and interim boss Igor Tudor quickly replaced him with Guglielmo Vicario. BBC Sport's chief football writer Phil McNulty, who was at the match, said he was not sure he had "ever witnessed anything quite like this" after Spurs' series of mistakes was followed by Tudor's decision to take Kinsky off.
The leaked iPhone Fold renders show a big design mistake
The iPhone Fold is almost here, but leaked renders look surprisingly similar to one old foldable.
Stanford Scientists Uncover the Molecular Mistake That May Trigger Brain Aging
Scientists have identified a critical breakdown in the cellular machinery that produces proteins in aging brains.
Flock Safety's AI cameras misread plates. Innocent people pay.
Flock Safety's license plate readers are used by police in thousands of communities. When the cameras make mistakes, the consequences can be severe.
Samsung and Google Pixel keep making the same phone case mistake
Smartphone cases are something we all use, but I don’t get why Samsung and Google keep making the same annoying...
Tulane baseball team rues missed opportunities heading into series at No. 17 TCU
After starting 8-5 against a mediocre schedule, the mistake-prone Tulane baseball team will need to be sharper across the board in its series at 17th-ranked TCU.
There is no magic formula for business success, Texas A&M researcher finds
Mays Business School professor highlights flexibility and learning from mistakes as essential for professional growth.
Study finds sea levels are higher than we thought, placing millions more at risk
Climate change's rising seas may threaten tens of millions more people than scientists and government planners originally thought because of mistaken research assumptions on how high coastal waters already are, a new study said.
The Best Oils for Managing Cholesterol—And 3 Mistakes You're Probably Making
Extra-virgin olive oil, avocado oil, canola oil, soybean oil, and walnut oil are heart-healthy options with different uses.
An $800,000 mistake taught CEO lesson about leadership
The CEO of an AI startup says a major gaffe he made earlier in his career taught him what good bosses do when employees screw up.
Mistakes I made on the California Zephyr overnight Amtrak train
I took the Amtrak California Zephyr train from Chicago to Emeryville, California, in a bedroom accommodation and had a few regrets.
Samsung confirms Galaxy S26 series has an 8-bit display following 10-bit confusion
There seems to have been a mistake, and Samsung’s Galaxy S26 base model and Ultra variant are shipping with a...
5 HDMI Mistakes That Are Holding Your TV Back
Using the wrong cable, plugging devices into the wrong port, and not enabling the right settings are some HDMI mistakes holding your TV back.
Warren Buffett reveals ‘the big problem’ with Donald Trump’s businesses. What to learn from the president’s mistake
Those who don't learn from their real estate blunders are doomed to repeat them.
Steve Kerr admits 'stupid mistake' for calling misinformation on Warriors C Kristaps Porzingis' POTS diagnosis
Porzingis has still played only one game for the Warriors after joining them at the trade deadline.
How LabOS AI-powered smart goggles could reduce human error in science
A new wearable AI system watches your hands through smart glasses, guiding experiments and stopping mistakes before they happen
BMW Mistakenly Publishes The Names Of All 2027 Cars
The M2 xDrive and M350 are among them.
Mistakes I made getting floors replaced: Spent $12,000; have regrets
We thought replacing our carpets with vinyl-plank flooring would be easy and cost $6,000. We spent more than double that and uncovered so many issues.
NFL admits controversial mistake regarding Steelers' Aaron Rodgers
The National Football League admitted there was a mistake involving Steelers QB Aaron Rodgers’ near interception in Week 14 against the Ravens.
Meta employee shares OpenClaw email-deletion nightmare
Meta alignment director Summer Yue hooked OpenClaw up to her inbox. Then, the bot tried to delete her emails. Yue chalked it up to a "rookie mistake."
Meta Director of AI Safety Allows AI Agent to Accidentally Delete Her Inbox
Meta Superintelligence Labs’ director of alignment called it a “rookie mistake.”
Trump calls Obama's alien comments a 'big mistake' after alleging classified information podcast revelation
Trump accused Obama of revealing classified information about aliens, calling it a "big mistake" during Air Force One interview with Fox News reporter.
Arsenal blew it against Wolves but how and why did they unravel at Molineux? It was about more than just one mistake
From the sports desk: The ‘Blade Angels’ take the ice
Alysa Liu floats to third place, and Amber Glenn makes a costly mistake.
Farm use of PFAS-laden sludge raises health concerns. But, some ask, where else can it go?
A resourceful solution to repurpose waste and nourish farmland, or a poisonous and permanent mistake? Depending on whom you ask, the practice of spreading treated sewage, or sludge, on New Hampshire farmland might be either.
Why some kids struggle with math even when they try hard
A new Stanford study suggests math struggles may be about more than numbers. Children who had difficulty with math were less likely to adjust their thinking after making mistakes during number comparison tasks. Brain imaging showed weaker activity in regions that help monitor errors and guide behavioral changes. These brain patterns could predict which children were more likely to struggle.
Google’s AI Overviews Can Scam You. Here’s How to Stay Safe
Beyond mistakes or nonsense, deliberately bad information being injected into AI search summaries is leading people down potentially harmful paths.
3 tax mistakes that could trigger a business audit — plus the tools to avoid them
Whether you're worried about tracking expenses or how to report your income, these tools can help you avoid the mistakes that raise some red flags.
5 Costly Mistakes to Avoid When Launching a Consulting Business
Starting a new consulting business? These are some of the biggest traps founders should avoid.
Climate, Energy, & “Wrecking Ball Politics” | Council on Foreign Relations
This is a limited excerpt from the Climate Realism Initiative Newsletter. Sign up to receive monthly insights from the initiative’s fellows and staff, including articles, videos, podcasts, events, and more. Demolition Man Bankruptcy, wrote Ernest Hemingway, finds you two ways: “Gradually, then suddenly.” Small decisions, omissions, and mistakes compound over time, at first imperceptibly, then inescapably, until […]
Sen. Rand Paul tells leaders immigration agencies have lost public's trust
Sen. Rand Paul, R-Ky., said immigration enforcement agencies have lost the public’s trust and must admit mistakes and commit to reforms, following the shooting deaths of two Minnesota residents by agents last month
We visited 3 national parks in one long weekend; big mistake
I planned a road trip with my best friend, and we set the goal of hitting three national parks in one long weekend. Our lofty itinerary was a mistake.
Mass. school shelters in place as science project mistaken for bomb
Police received a report of a suspicious package with a wire and a timer attached.
Trump admits initial mistake in Federal Reserve chairman decision making
President Donald Trump discusses his decision-making process in selecting Kevin Warsh as his nominee for Federal Reserve chairman on ‘Kudlow.’
NFL rumors: Why Vikings lost Sam Darnold to Seahawks
The Minnesota Vikings let Sam Darnold walk this past offseason, and looking back, it may have been a big mistake.
‘I didn’t make a mistake’: Trump responds to racist video he posted of the Obamas
'I didn't make a mistake' Trump says of post depicting Obamas as apes
"I look at a lot of, thousands, of things," Trump said of the video. "And I looked at the beginning of it, it was fine."
Visited New Zealand for first time on my own: Mistakes I made on trip
My first time visiting New Zealand was a solo trip. I made mistakes booking the TranzAlpine train and planning activities that cost me time and money.
Dundalk family says grandmother was wrongly declared dead, cutting off health coverage
A Dundalk family said a startling error in Maryland’s Medicaid system left their elderly loved one without health coverage for weeks after the state mistakenly
DoJ Makes Appalling Mistakes In Release of New Epstein Files
The government included nude photos and failed to redact the names of some victims in its latest document drop.
8 Mistakes Cardiologists Say Could Be Wrecking Your Heart Health
For American Heart Month, four cardiologists share the biggest mistakes they see people make for their hearts—and provide simple, realistic fixes.
Is Carb-Cutting Healthy?
Cutting carbohydrates can be a fast track to weight loss. But villainizing the nutrient completely is a mistake, experts say.
Fujifilm Fixed Its Biggest Pre-2024 Mistake: The Beauty of an Open X-Mount Lens Roundup
Full List of Third Party AF Fujifilm X mount lenses available on Amazon When I wrote the FujiRumors 14-year anniversary article, I mentioned that our journey wasn’t without difficult moments—and that Fujifilm, at times, made some serious mistakes. The biggest one in recent memory was the 2024 firmware debacle, which severely degraded autofocus performance. It…
Gavin Newsom Memoir Describes Difficult Childhood, Contrary to Image
Mr. Newsom, the California governor and a potential presidential candidate, writes that the privileged caricature of his background is mistaken.
Mistakes family made visiting Puerto Rico for first time; travel tips
I made mistakes when planning and budgeting for our family's first trip to Puerto Rico. Here's what I'd do next time we visit the Caribbean island.
Mike DeWine says biggest mistake as governor was to sign bill legalizing sports gambling
Gov. Mike DeWine says he considers his signing of legislation legalizing sports gambling his biggest mistake as governor. “Any control that we can get over this, anything we can do, we should be doing,” DeWine said Wednesday.
Arsenal hit Manchester United roadblock, but biggest obstacle is themselves
The Gunners made mistakes and conceded some undeniable strikes, but the Premier League title pursuit still depends on them
Analysis: Trump and Vance are suddenly acknowledging ICE ‘mistakes’
US Border Patrol chief Greg Bovino couldn’t have been more unequivocal Tuesday when talking about the often aggressive and controversial Immigration and Customs Enforcement operations he’s leading in Minneapolis.