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Stephen Colbert Explains Why 'The Late Show' Became More Political
Stephen Colbert explained why he leaned into politics on 'The Late Show' in a new interview with 'The New York Times.'
Roma want Napoli’s Manna as next sporting director
As the team prepares for the final days of the season, Roma continues to consider the profile that will guide the coach in building next season. The principle, after all, was explained by the coach hi...
‘Star City’: The New ‘For All Mankind’ Spinoff, Explained
The new series will offer a different vision of the same timeline as the hit Apple TV+ drama.
Measure C: Oakland business tax relief, explained
At the June 2 primary, voters will decide whether to give one-year tax breaks to small and new businesses in the city.
Look at All These New Google Logos, Gmail and Calendar Included
Google first began pushing out a new company logo about a year ago. The new logo brought us a gradient style that blended its iconic colorway together, which Google explained as having something...
Microsoft explains why Windows 11 File Explorer scrolls smoothly in some places, but not everywhere
Microsoft has finally explained why Windows 11 File Explorer lacks smooth scrolling in all folders, blaming legacy code and complex features.
Titans draft pick Fernando Carmona explains Liberty Bowl stomping incident
Tennessee Titans offensive lineman Fernando Carmona, drafted in the fifth round, explained his stomping incident from the 2024 Liberty Bowl.
$119 Polymarket bet becomes $21K after unusual Paris temperature spike
A Polymarket trader made a long shot bet on the highest temperature in Paris shortly before an unexplained spike, reaping a $21,000 profit.
Who Is Niko Mijailovic? ‘Running Point’ Tribute Explained
Learn more about how the dedication came together.
What is a Silicon-Carbon Battery? The Samsung Galaxy S27 Ultra’s Secret Weapon Explained
Discover how Silicon-Carbon battery tech gives the Samsung Galaxy S27 Ultra the biggest capacity boost in a decade.
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.
‘Invincible’: Who Won the Viltrumite War? The Finale Explained
Mark is left with a horrible choice. Lee Pace explains Thragg's ultimate plan.
Apple Testing Two Small Yet Useful iOS 27 Options
Apple is planning to add "Undo" and "Redo" options to the iPhone's Home Screen customization menu on iOS 27, according to Bloomberg's Mark Gurman. These two options will make it easier to reverse or redo your Home Screen changes. "Right now, when you long-press on the home screen, you get a bubble in the top left corner with four options: Add Widget, Customize, Edit Wallpaper and Edit Pages," he explained, in his latest Power On newsletter.
How Americans really feel about immigration
The messy politics of immigration reform, explained.
Kash Patel’s Erratic Behavior Could Cost Him His Job
The FBI director has alarmed colleagues with episodes of excessive drinking and unexplained absences.
BlackRock sees opportunity for growth in private credit "shakeout"
There may be some private credit losers in the future, but doesn't plan to be one of them. On their Q1 analyst call, Fink and co explained why they will win.
Scientists Challenge Black Hole Theory, Say Dark Matter Core May Lie At Centre Of Milky Way
Lead author Valentina Crespi explained that this dense dark matter core could bend light so strongly that it creates a dark region in the centre.
Why most Indians don’t have naturally pink lips: The science explained
We have been fed this idea of “naturally pink lips” for way too long. It’s one of those beauty standards that gets pushed everywhere but doesn't actua.
House DFL hopeful that small-business relief from Operation Metro Surge could get GOP votes
Minnesota’s House Ways and Means Committee heard testimony from several business owners, school district members, and city leaders on Monday, as testifiers explained the impact of Operation Metro Surge on their respective spaces.
House DFL hopeful that small-business relief from Operation Metro Surge could get GOP votes
Minnesota’s House Ways and Means Committee heard testimony from several business owners, school district members, and city leaders on Monday, as testifiers explained the impact of Operation Metro Surge on their respective spaces.
Former Naughty Dog Dev Recalls Crunch Culture for Games Like The Last of Us and Uncharted
Former Naughty Dog designer Benson Russell has explained how the developer eventually began to believe workplace crunch was necessary to make games like The Last of Us at its "level."
Eric Swalwell’s downfall, explained
The accusations that forced out the frontrunner in California’s governor race — and could push him from Congress next.
‘The Pitt’s Noah Wyle Reacts to Supriya Ganesh’s Shocking Exit
Wyle also explained why the decision was made to write Ganesh out of the show.
Seniors: Dennis Ouellette, 80
Ontario Orchards owner not slowing down as he grows his farm market By Stefan Yablonski The seeds for Dennis Ouellette’s career path were sown when he was 6 years old — and he isn’t slowing down. “Since age 6, I grew up an agriculturalist. That is 72 years. Started out with a 37-acre farm when I bought it from my parents and built it up to almost 300 acres. Brought it back down to around 200 acres now,” he said. The location of his business was just a barn, a horse barn, he said. “In 1967, it officially became Ontario Orchards Farm Market. My wife [June] and I graduated [high school] in 1964 and three years later we became Ontario Orchards. We have been here more than 60 years,” he explained. “It is the same location. We have expanded over the years as the customers mentioned different things; we have expanded to bring in different products. “What keeps me going is I totally enjoy what I am doing. I enjoy the people that I work with. The customers are wonderful. Mostly, more important than anything, is my family — my wife, my daughters, grandchildren, son-in-law — we are still very much a family business I’m not going to retire just yet.” He also enjoys the changing seasons. “Ontario Orchards is a four-season business. There is always something new; more energy, more interest. Not only for the business but for my staff, the people that work here. Things keep changing, changing. We are always looking forward to something new and exciting,” he said. They work with quite a number of local farmers within the area and throughout the state, throughout the country and from around the world.” “We do have things from different countries around the world. But specifically, we are very excited about the local. We have an over 200-acre farm. We sell just about everything we raise on that farm right here at the farm market. For example, we press cider year-round. We make baked goods every day, year-round. We sell our apples 12 months a year.” “Today, there are so many products in Ontario Orchards that we never would have thought of in 1967,” he continued. “I attribute a lot of that to my daughters. I like the young blood and new energy. That is very crucial to a business, it keeps it vibrant.” What’s his favorite part of the job? “I don’t have a favorite part. I enjoy it all. I have a lot of intertest in other things,” he said. “I have staff that knows so much. I can go to the staff and say, ‘I don’t know what this is, you tell me what this is.’ They are so knowledgeable. It is impossible for one person to know everything in this place. In the summer, staff is about 60; in the winter about 20, 25.” He added that he plans on being around for several more years.
Seniors: John Lemp, 70
Has been working for more than 50 years in the business — M. Lemp Jewelers in Syracuse — that his great-grandfather started in 1890 By Mary Beth Roach Don Lemp owns and represents the fourth-generation of the family business, M. Lemp Jewelers, but he still calls himself “a counter guy.” “I love interacting with couples. It’s a wonderful business. You’re celebrating marriages, engagements, births, anniversaries — all these different significant moments that people invite you into their lives for whatever brief period of time it might be to help them celebrate whatever their important occasion is,” he said. This is one of several reasons why Lemp, at 70, has been working for more than 50 years in the business that his great-grandfather started in 1890. Always located in the downtown Syracuse area, the store has been situated in the building that the family owns on East Fayette and Warren streets since 1971. He jokes that he’s been in the business so long he is now selling engagement rings to the second generation in some families. He also loves the opportunity to learn about the ever-changing industry and gemstones. “You have to know not only diamonds, but all the colored stones, from A to Z, from andalusite to zircons,” he said. Lemp said he had originally thought he wanted to become an attorney, but while working part-time in the store while attending college at Syracuse University, he decided to follow in the family business. His father, Walter D. Lemp Sr., and his mother tried to discourage their son from pursuing retail, reminding him of the hectic hours and lifestyle intrinsic in this business. But the younger Lemp [whose full name is Walter D. Lemp Jr.] prevailed. So, over the years, father and son got to work together in the family business for 35 years. And while many other jewelers retreated from downtown to suburban malls in the 1970s, the Lemps decided to stay downtown. And it’s a decision that Lemp Jr. feels it has worked out well. As he explained, downtown Syracuse is seeing a rebirth. One website, Point2Home.com, has noted that more than 6,000 people live there and the median income is about $62,000. In addition, according to the website that Lemp built years ago, the store can cater to customers throughout the country. His customers, whether from across the country or across Onondaga County, are just one reason that Lemp stays engaged in the business. His employees, the opportunity to continue to learn in an industry, and the challenge to continue to improve business are all other reasons, he noted. He’s also been able to travel to India to buy diamonds and he enjoys buying and selling estates. “I’d rather gallop in the corral than ride into the sunset,” Lemp said.
“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.
Tinkaton with Gigaton Hammer: PvE Performance & Raid Use Explained
April 2026 community day features Tinatink. Its final evolution Tinkaton breaks into the steel meta with Gigaton Hammer.
Why Massachusetts ranks No. 1 for child health and where gaps remain
Massachusetts child health ranking explained: what it means for families.
Michael Patrick of 'Game of Thrones' Dies at 35. Motor Neuron Disease, Explained
The actor passed away on April 7 following a three-year-long health battle.
Microsoft Abruptly Terminates VeraCrypt Account, Halting Windows Updates
Updates to VeraCrypt, a popular and long-running piece of encryption, are now thrown into doubt because of a seemingly unexplained Microsoft decision.
The Viral “Office Air” Theory Explained: Why Your Skin and Hair Change During the Workday
Can “office air” really affect how you look? Experts explain how indoor environments impact skin, hair, and overall appearance throughout the workday.
Unexplained shoulder pain could signal dangerous health condition, doctor warns
While shoulder pain is often the result of rotator cuff problems, injuries, arthritis, nerve problems, or other orthopedic and muscular issues, it can also signal a dangerous health condition.
Immunic COO highlights the importance of science-led innovation to mark World Health Day
Immunic Inc (NASDAQ:IMUX, FRA:10VA) chief operating officer Jason Tardio talked with Proactive's Stephen Gunnion about the importance of science-led innovation in tackling neurological diseases, particularly multiple sclerosis, on World Health Day 2026. Tardio highlighted that the biotech industry is fundamentally grounded in scientific research and data, noting that “everything we do is rooted in science.” He explained that Immunic is focused on developing innovative therapies designed to improve patient outcomes and address significant unmet medical needs. The discussion centred on multiple sclerosis (MS), a complex neurological disease that continues to present challenges despite decades of progress. Tardio pointed out that while advancements have been made, “the disease is not solved for,” with many patients still experiencing disability progression and requiring safer, more tolerable treatments. He emphasised the urgent need for innovation, particularly in progressive forms of MS where treatment options remain extremely limited. Immunic’s lead asset, vidofludimus calcium, is being developed as a novel approach aimed at addressing the full spectrum of the disease. Tardio also reinforced the broader mission of the healthcare and biotech sectors, stating that the ultimate goal is to help individuals “live a better quality of life” and “a healthier life longer.” Watch the full interview to learn more about Immunic’s approach to advancing MS treatment through science. For more videos like this, visit Proactive's YouTube channel, like this video, subscribe to the channel, and enable notifications so you never miss an update. #Immunic #MultipleSclerosis #BiotechInnovation #Healthcare #MSResearch #DrugDevelopment #ClinicalTrials #Neurology #WorldHealthDay #ScienceDriven #VidofludimusCalcium #PharmaNews #BiotechNews
Rangers Manager Makes Jacob deGrom Revelation After Mariners Game
The Texas Rangers defeated the Seattle Mariners on Monday. Jacob deGrom started the game and pitched well. After the game, Rangers manager Skip Schumaker explained why the team decided to go to the bullpen in the sixth inning, via Kennedi Landry.
The brain might not create consciousness after all
Is consciousness something the brain produces, or is it woven into the fabric of reality itself? Renowned neuroscientist Christof Koch is challenging long-held scientific assumptions by confronting the “hard problem” of consciousness — why and how subjective experience exists at all. He highlights growing tensions between neuroscience, physics, and unexplained phenomena like near-death experiences and sudden moments of clarity before death.
Volkswagen's TSI Vs. TFSI Engines: The Main Differences Explained
The main differences between Volkswagen's TSI and TFSI engines only come from their names and which models they're used in. TFSI is only in Audi cars.
Chucklefish on why Witchbrook has taken a decade to release
Donna Orlowski, the COO of Chucklefish, has explained why Witchbrook has taken so long to release. Back in 2016, the project was first teased. A year later, it was announced as Spellbrook, and then became Witchbrook in 2018. We’ve essentially seen the last decade fly by, but the game has still yet to debut. Orlowski gave some insight into the...
The 5 Final Four players who wouldn't be eligible under Trump's 'Save College Sports' order
Trump college sports order explained: Which Final Four players would be ineligible under new eligibility and transfer rules.
Ghost Of Yotei Devs Used Coins From The Game's Collector's Edition To Test Zeni Hajiki Multiplayer
Sucker Punch also explained how it built an online co-op game within a big single-player RPG
GameStop Thought Buying Games Online Was A 'Passing Phase'
In a GDC talk, Impulse creator Larry Kuperman explained how the retail chain bet the farm on brick and mortar
Séances Versus Science: Eight Mysteries That Pit the Supernatural Against Reason
I grew up in a house built in 1884 that was prone to unexplained creaks, groans and even occasionally children’s laughter. The heavy, antique doorbell would sometimes ring out with its sonorous clang for no reason. Once, my mother heard footsteps in the foyer, but when she went to investigate, nobody was there. One of
Branching out: Farmers and scientists team up to see how trees can reshape the future
Nate Lawrence is an ecosystem scientist at the Savanna Institute. “If we can robustly quantify how trees are improving something – let's say maybe improving water quality – then there's probably a way that we can plant more trees as a result of that finding,” he explained.
How to restore engagement in politics, explained by political experts
When it comes to the federal government, 17 percent of Americans trust their elected leaders to do what is right, either all or “most of the time.” That figure, from a December Pew Research Center Survey, might make people, including Ohio State students, less likely to engage with, or participate in government. But Michael Neblo, […]
Every major US lunar mission explained, including the Artemis II
NASA's Apollo 8 mission was the first to orbit the moon. No US spacecraft has returned to the moon since 1972, but that's all about to change.
The Child Care Business Model, Explained
Child care is essential for families, businesses, and communities. Federal, state, and local governments, businesses, philanthropies, and individual families invest billions of dollars annually in formal and informal child care, yet these investments fall short of ensuring affordable, quality child care for all working families. Unlike many other sectors, child care providers operate within a … Continued
Back to Business Program helps Quynh’s Pharmacy continue serving Little Saigon community
Quynh’s Pharmacy is a fixture in Little Saigon. The owner, Mary Bui, is also a fixture within the pharmacy, having worked there for three decades. When vandals broke the glass entry door and both security gates, Bui faced a steep bill to repair the damages. “They charged over $6,000,” she explained. “We had to do […]
Turns out Crimson Desert's lead voice actor was as confused by the game's disjointed story as some players
Crimson Desert voice actor Alec Newman has explained what happened behind the scenes when voicing lead protagonist Kliff.
Taylor Frankie Paul's domestic violence investigations explained
A timeline breaking down the rise of Hulu's 'The Secret Lives of Mormon Wives' and Taylor Frankie Paul's domestic violence investigations.
This quantum computing breakthrough may not be what it seemed
A team of physicists set out to test some of the most exciting claims in quantum computing—and found a very different story. Instead of confirming breakthroughs, their careful replication studies revealed that signals once hailed as major advances could actually be explained in simpler ways. Despite the importance of these findings, their work initially struggled to get published, highlighting a deeper issue in science.
Rochelle Aytes Speaks Out After Shocking ‘Watson’ Cancellation
Aytes explained to the medical drama’s devotees that it’s not all bad news.
Peter Alexander Exiting NBC News After 22 Years
The Saturday ‘Today’ anchor explained that he has had to miss ‘more than 220 Friday nights’ with his family in the last seven years.
Something Is Happening Around Earth: Inside 2026’s Massive Fireball Surge
Earth is facing an unexplained surge of massive, booming daytime fireballs in early 2026.
Peter Alexander Exiting NBC News After 22 Years
The Saturday ‘Today’ anchor explained that he has had to miss ‘more than 220 Friday nights’ with his family in the last seven years.
The T-Mobile Samsung Galaxy S26 Ultra "On Us" Deal Explained (No Trade-In or Port-In Required)
Samsung's new flagship phone was released on March 11 and is now shipping.
Supercomputers just solved a 50-year-old mystery about giant stars
Astronomers have finally cracked a decades-old mystery about red giant stars—how material from their deep interiors makes its way to the surface. Using cutting-edge supercomputer simulations, researchers discovered that stellar rotation plays a powerful role in mixing elements across a previously unexplained barrier inside the star.
Bill Self health scare, explained: Why Kansas coach was hospitalized during 2025-26 season
Bill Self was briefly hospitalized after experiencing symptoms related to heart problems he has dealt with in the past.
Science explains why removing adhesive tape makes that unbearable squeaky noise
Scientists discover why adhesive tape makes that squeaking noise when peeled off: tiny shock waves produce the high-pitched sound.
Sangamon County voters approve new tax increase for mental health board
Murphy explained that the mental health board would act as a centralized organization that helps coordinate groups and providers in the Sangamon County area.
What is happening in Cuba? Economic struggles, US tensions explained
Trump has recently increased pressure on the island nation of Cuba, adding March 17 Washington would be doing "something with Cuba" soon.
Subnautica 2's Publisher Used ChatGPT For Legal Advice In Messy Court Battle
A judge has explained how the CEO of Krafton relied on an AI chatbot for legal advice and planning
The Supreme Court case attempting to sabotage voting by mail, explained
The Republican Party wants the Court to toss out thousands of ballots. Its arguments are laughably weak.
NFL Network host Jamie Erdahl says 'tragic' family health issue led to show hiatus
NFL Network host Jamie Erdahl explained her absence from "Good Morning Football" was due to family health crisis and announced she will return to the show next week.
Watch Atlassian CEO explain AI-driven layoffs in video message
Atlassian CEO Mike Cannon-Brookes explained the company's 1,600 layoffs in a four-minute video as the software firm pivots more heavily toward AI.
Vic Fangio: Jihaad Campbell dealing with injury, will miss much of offseason
Vic Fangio on Wednesday explained that Jihaad Campbell is dealing with a serious shoulder injury that will sideline him for the next several months.
Health systems use AI to break down language barriers in patient discharge notes
Translation systems are "trained to understand medication dosages, medical codes and other clinical terminology so the AI model works as it should," an Oracle engineer explained at HIMSS26.
Anthony J. Leggett Dies at 87; Won Nobel for Theories on Superfluids
When scientists unwittingly turned helium into a superfluid — a feat many thought was impossible — Dr. Leggett not only recognized what had happened but also explained how.
How can Team USA advance at World Baseball Classic? WBC tiebreaker scenarios explained
The Americans suffered a stunning loss to Italy on Tuesday night, and they'll now need some help to move on
What did Timothée Chalamet say about ballet and opera? The controversy explained.
Chalamet's comments about ballet and opera have ruffled feathers.
Predators GM Barry Trotz explains layered NHL trade deadline approach
The Predators made four moves earlier in the week, but then nothing on NHL trade deadline day. GM Barry Trotz explained his approach.
The T-Mobile Samsung Galaxy S26 Ultra "On Us" Deal Explained (No Trade-In or Port-In Required)
Preorder Samsung's new flagship phone for 2026.
America’s Protein Obsession, Explained | Johns Hopkins Bloomberg School of Public Health
Most Americans get plenty of protein—but under-consume other important nutrients.
Resident Evil Requiem Endings Explained
Resident Evil Requiem has two endings, but what's the difference between them, and which one is canon? We explain it all.
24 Unexplained Experiences That Will Give You Chills
"I stayed frozen under the blanket for what felt like hours, listening to footsteps that never quite reached my bed."
Jon Taffer says the American dream of owning a business is still alive
"Bar Rescue" star Jon Taffer explained how policy changes are keeping the American dream of owning a restaurant alive in today's economy.
International Trade After Trump: 4 Business Issues Explained By Economist
Tariffs, transactional deals, and trade wars will impact international business after Trump is gone. Four essential issues key to resilient international trade strategy.
How Eagles landed on Sean Mannion after exhaustive OC search
Eagles head coach Nick Sirianni and GM Howie Roseman explained how the Eagles landed on Sean Mannion as offensive coordinator.
The mess that Kristi Noem made
The drama at the Department of Homeland Security, explained.
Can Sporty & Rich’s Emily Oberg Break the Founder-CEO Curse?
Oberg stepped into the top job at her startup last August. In an exclusive interview with The Business of Fashion, she explained how she plans to scale her business while sidestepping the “founder’s ego” problem that has doomed many emerging brands.
Before the medals: The science behind training for freezing mountain air
From freezing temperatures to thin mountain air, University of Cincinnati exercise physiologist Christopher Kotarsky, PhD, explained how cold and altitude impact Olympic performance in a recent WLWT-TV/Ch. 5 news report.
What Jesse Jackson taught Democrats
The lasting lesson of Jesse Jackson’s 1988 campaign, explained.
Olympics hockey overtime, shootout rules explained
Just as in the NHL, if an Olympic game is tied after 60 minutes, there will be overtime and a possible shootout. But there are differences in rules.
Project Quack Teaches Computer Science Students How to Build
Hosted by the student-run Stony Brook Computing Society, Project Quack is a mentorship program where knowledge is shared, explained, and passed down.
Communications breakdown over El Paso airspace closure sparks finger pointing across Trump administration
The Federal Aviation Administration’s abrupt and unexplained closure of airspace above El Paso, Texas, early Wednesday has given way to a blame game inside the administration, with key senior officials asserting they hadn’t been alerted to the decision beforehand, according to several people familiar with the matter.
A Tragedy of Early COVID Has Finally Been Explained
Dangerous blood clotting associated with certain vaccines had a genetic cause, according to a new paper.
What is a pulmonary embolism? Catherine O'Hara's cause of death, explained
"Home Alone" actress Catherine O'Hara's died from a pulmonary embolism. Here's what to know.
The Easter Eggs From Bad Bunny's Super Bowl Performance, Explained
From a light blue Puerto Rican flag to a young boy resembling a young Bad Bunny — here are some of the Easter eggs from his historic halftime show.
How a Southern lifestyle brand from Baton Rouge now sells more than a million pieces a year
"The first time we sourced from Asia," he explained, "we had to throw away the entire product because we had no clue what we were doing."
Microsoft Still Plans First-Party Xbox Handheld, It's Claimed
A new report claims Microsoft reportedly still plans an Xbox handheld, even as it prioritizes its next console.
iPad 12 and iPad Air 8 Reportedly Coming Soon
Apple is planning to launch new iPad and iPad Air models in the near future, Bloomberg's Mark Gurman reports. Writing in today's "Power On" newsletter, Gurman explained that updated iPads are "coming soon," including a new entry-level iPad and a new iPad Air. Both devices are not expected to feature design changes or major enhancements, instead focusing on new chips.
Inside Iowa Politics: Why candidate says it’s ‘good vs. evil’
Adam Steen, a Republican candidate for governor, explained why he uses "good versus evil" in his campaign.
GO Battle League Now Awards Championship Points: Leaderboard Challenges Explained
How GO Battle League players can earn Championship Points and qualify for the Pokémon World Championships
Olympic curling: Sweeping, explained
The sweeping in curling might look simple, but it's a real-time mix of strategy, physics and athleticism in a game that can be decided by a matter of inches.
Cody Rhodes Explains Why He 'Misses' WWE Live Events
With WWE reducing the number of untelevised live events it holds each year, Cody Rhodes explained why he misses the heavier schedule.
Sam Raimi shares 'Doctor Strange 2' scene that made him want to work with Rachel McAdams again
Without 'Doctor Strange in the Multiverse of Madness,' 'Send Help' would've looked a lot different. Director Sam Raimi and star Rachel McAdams explained how Marvel was their stepping stone to the survival horror movie.
How Trump transformed ICE, in two charts
The money behind Trump’s immigration crackdown, briefly explained.
Trump appears to forget word for Alzheimer’s during stunning interview on his health
Trump explained that his father had almost no medical conditions throughout his life, except for one.
The magnetic secret inside steel finally explained
For years, scientists noticed that magnetic fields could improve steel, but no one knew exactly why. New simulations reveal that magnetism changes how iron atoms behave, making it harder for carbon atoms to slip through the metal. This slows diffusion at the atomic level and alters steel’s internal structure. The insight could lead to more efficient, lower-energy ways to make stronger steel.