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The expert on 'super aging' breaks down the science — and grift
From peptides and protein to sleep hygiene and vaccines, what actually helps you age well? Physician Eric Topol breaks down the science — and the myths — of longevity and anti-aging.
Forget the caveman myth: Neanderthal brains challenge what we thought we knew
We appear to have more in common with our Neanderthal cousins than outward appearances would suggest. New research published in the journal Proceedings of the National Academy of Sciences suggests that ...
Eastern mythology-themed Metroidvania game Karma Exorcist announced for PS5, Xbox Series, Switch, and PC
Publisher Infini Fun and developer Cyclos have announced Karma Exorcist, an Eastern mythology-themed Metroidvania / side-scrolling action adventure game. It will be available for PlayStation 5, Xbo…
Most people believe at least one health myth; plus, what you should know about sarcoidosis and drug disposal
Claude Mythos AI Model Uncovers 271 Zero-Day Vulnerabilities in Firefox
Anthropic’s latest frontier AI model, Claude Mythos Preview, has identified a staggering 271 zero-day vulnerabilities in Mozilla Firefox marking a seismic shift in AI-powered cybersecurity defense. The findings, addressed in Firefox 150, represent the most significant single batch of security fixes in the browser’s history. The discovery didn’t happen in isolation. Since February 2026, Mozilla’s […]
Sam Altman: Anthropic is using 'fear' to tout Claude Mythos
OpenAI CEO Sam Altman said in contrast to Anthropic's recent moves, OpenAI would err on the side of giving more people access to AI models.
The health misinformation crisis is bigger than anyone thought: Most people worldwide believe at least one of 6 common medical myths
A global Edelman survey yields a "stunning set of facts": seven in 10 believe at least one debunked health claim regardless of education, politics or age.
Mythos found 271 Firefox flaws – but none a human couldn’t spot
: Mozilla CTO says AI means developers finally have a chance to get on top of security
Dignity Health doctor addresses vaccine myths on National Infant Immunization Week
This week marks National Infant Immunization Week, a reminder for parents to check their children's shot records.
Mozilla says it patched 271 Firefox vulnerabilities thanks to Anthropic's Claude Mythos
Mozilla shared some details that support Anthropic's Claude Mythos AI model as a way to protect critical services.
Mozilla: Anthropic's Mythos found 271 zero-day vulnerabilities in Firefox 150
CTO says new AI model is "every bit as capable" as world's best security researchers.
Mozilla Used Anthropic’s Mythos to Find and Fix 151 Bugs in Firefox
The Firefox team doesn’t think emerging AI capabilities will upend cybersecurity long term, but they warn that software developers are likely in for a rocky transition.
Tim Cook proved Silicon Valley wrong about founders
Tim Cook defied Silicon Valley's founder myth, turning Apple into a $4 trillion giant and proving non-founders can build lasting value
NYU Langone Health neurologists present latest clinical findings and research at AAN 2026
This year’s meeting features more than 80 presentations from Department of Neurology faculty. Here are notable highlights: practical strategies to counter harmful medical myths and misinformation, phase 3 clinical results for a novel epilepsy medication, and the barriers patients with disabilities face while navigating outpatient facilities.
White House chief of staff to meet with Anthropic CEO over its new Mythos AI model
The meeting comes after tensions have run hot between the Trump administration and the safety-conscious Anthropic, which has sought to put guardrails on the development of AI to minimize any potential risks and maximize its economic and national security benefits for the U.S.
Washington’s Scramble to Get Mythos, Anthropic’s Powerful New Model
Federal agencies have requested access to Claude Mythos Preview, which Anthropic says can rapidly identify — and potentially create — new cyberthreats.
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.
Why rural hospitals in Pennsylvania and across the country are closing in increasing numbers – 5 myths about rural health care
Rural hospitals have high fixed costs, low patient volume and a large portion of patients insured through Medicaid, which typically pays less than private insurers.
Stop wasting time on hair myths: 5 science-backed secrets that can actually grow your hair
If you’ve ever gone down the rabbit hole of “hair growth hacks,” you already know how confusing it gets. Oil this, don’t oil that. Cut your hair, don’t cut your hair. Everyone seems to have an opinion - and half of it contradicts the other half.So let’s simplify things.Here are 5 science-backed habits that actually support better, healthier hair growth. No overnight miracles - just real, practical changes that make a difference over time.
Is creatine safe? Athletes love it, but here's what to know.
Myths and misunderstandings prevail concerning creatine's safety profile that experts keep working to clear up.
“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.
Dear Abby | Eye exams can save more than your vision
Dear Abby: I'm an ophthalmologist, a physician who specializes in medical and surgical eye care, and I'm hoping you can help me debunk a common myth about eye health. Many
Anthropic's Mythos sparks Washington's big bank anxiety
Manufacturing a disease and selling the cure is a Bond villain business plan. Is Anthropic all that different?
Anthropic Mythos cybersecurity concerns: What smart people are saying
Anthropic's Mythos AI model sparked cybersecurity concerns, but some think it's been overhyped. Here's what smart people re saying.
ACL tear fears, TikTok myths and the fight for credible women’s health science in sports
A new era of sports science, in which women are not viewed through the prism of “little men,” is gradually emerging.
ACL tear fears, TikTok myths and the fight for credible women’s health science in sports
A new era of sports science, in which women are not viewed through the prism of “little men,” is gradually emerging.
ACL tear fears, TikTok myths and the fight for credible women’s health science in sports
A new era of sports science, in which women are not viewed through the prism of “little men,” is gradually emerging.
Why Anthropic sent its Claude AI to an actual psychiatrist
Mythos is "the most psychologically settled model we have trained to date."
The myth of the downwardly mobile college graduate
The laptop class is moving left -- but not out of economic desperation.
Anthropic says its latest AI model is too powerful to be released
Anthropic said Claude Mythos is too good at hacking and that's why you won't be able to use it anytime soon.
Do major concert tours really skip Seattle? Myth or truth?
For years, Seattle fans have wondered if the city is an afterthought when music stars plan their tours. We asked a professional.
Bay Area immersive theater company revives fan-favorite ‘Psychopomp’
Immersive theater returns to Golden Gate Park as We Players restage “Psychopomp,” guiding audiences through mythic worlds in the San Francisco Botanical Garden.
"What's going on?!!": World of Warcraft just created a truly insane, epic moment in gaming history — I had no idea Blizzard was still capable.
I have no idea how Blizzard pulled this off, but during World of Warcraft's Mythic raiding "Race to World First" esports event, U.S. team Liquid discovered live to thousands that the final boss had an insane, secret final phase.
From scrappy startup to tech giant, Apple celebrates its 50th year
Countercultural mythmaking and global corporate dominance have helped the tech corporation sail through criticism.
Myth-busting virtual care’s most common misconceptions
For patients who've never tried virtual care, there can be a lot of misconceptions. Sanford answered some common questions to debunk myths.
Treating Myths as Science
Indigenous “Ways of Knowing” have no place in British Columbia’s school science curriculum.
Analyst says Epic Games layoffs send a clear signal
The myth of perpetual growth continues to bulldoze through the industry.
The Science Behind the $19 Million Colostrum Craze: Miracle Cure or Marketing Myth?
Colostrum supplements are exploding in popularity, fueled by celebrity endorsements and loose regulation. But what does the science actually say?
Attaining Optimal Gut Health: Doctor Separates Facts From Myth
Dr. Roshini Raj, gastroenterologist at New York University Langone Medical Center, joins TODAY to talk about what’s best for your digestive and gut health. She also separates facts and fiction when it comes to lemon water detoxing your stomach, whether you can have too much fiber and more.
7 Gut Health Myths a GI Doctor Wants You to Ditch Right Away
From lemon water to celiac disease, don't fall for these common myths.
Why it’s time to rethink “leadership from 20,000 feet”
CEOs should not step back completely as organizations grow. Leaning too much on a belief in “leadership from 20,000 feet” and the myth that their role is only strategic can cost companies momentum and results.
2 major myths about hearing loss — and the real reason you shouldn't just make the TV louder
Apple's HomePad gets delayed again, rumor claims
The mythical tablet plus smart speaker combo has been a victim of Apple's struggles with AI. For a very long time, Apple has been rumored to be working on...
Women's Health Myths: Doctor warns against believing claims about testosterone
Women's health expert says misinformation about taking testosterone is rampant on social media.
4 myths about women's health
Do women really need to focus on cardio? Worry about heart health? Do a yearly mammogram? Meghan Rabbitt, author of the new book The New Rules of Women's Health, sets the record straight.Find the BCRAT calculator here: https://bcrisktool.cancer.gov/Follow us on Instagram: @nprlifekitSign up for our newsletter here.Have an episode idea or feedback you want to share? Email us at lifekit@npr.orgSupport the show and listen to it sponsor-free by signing up for Life Kit+ at plus.npr.org/lifekit
Women's Health Myths: Doctors say hormone therapy misinformation is rampant
Experts warn against turning to social media for advice about treating menopause symptoms.
Three Myths Fueling Companies’ Icy Silence on Politics | Andrew Winston | MIT Sloan Management Review
In turbulent times, leaders must question their assumptions about the role of business in society and politics.
Everywhere at these Olympics, athlete moms are shattering a tired sports myth
Can't be an elite athlete and a mom at the same time? There's a long list of medalists from these Olympics who would beg to differ.
Even the best writing about science recalls ancient myths
The essays in a new anthology offer two distinct ways of interpreting the Promethean legacy of scientific progress.
How George Washington rose to prominence and became the stuff of myth
No, he didn't have wooden teeth.
Buncombe County health officials address measles myths and urge vaccination
As North Carolina works to battle the spread of measles, health officials are working to battle measles myths.
Black Myth: Zhong Kui Gets Six Minutes of In-Engine Footage
Black Myth: Zhong Kui just received six minutes of in-engine footage to celebrate the upcoming Chinese New Year, due on February 17.
Take an Extended, Non-Canon Look at the Next Jaw-Dropping Black Myth Game
Oh my zhong
Record-Breaking One-Off Bugatti Brouillard Could Become the Most Expensive Bugatti Ever
A one-off aimed at a historic record Bugatti’s latest one-off, the Brouillard, steps onto the hypercar stage with the quiet confidence of a record-breaker. The brand’s tradition of bespoke excellence meets a bold new aesthetic, positioning this unique commission to potentially become the marque’s most expensive creation. Built on the proven underpinnings of the Chiron/Mistral architecture, yet transformed by distinctive craft, the Brouillard is both homage and innovation. A name born from equestrian legend More than a century ago, a striking white horse captivated Ettore Bugatti in Molsheim. That equine myth now informs the car’s name and its sensory identity. The result is an automotive portrait of athletic grace—surfaces that read like muscle, curves that suggest motion, and details that quietly speak of discipline and heritage. Embroidered horse motifs on door panels and seat backs echo the story, while a miniature glass sculpture of the steed crowns the shifter. Sculptural design with purpose The Brouillard’s silhouette favors sinuous surfaces over hard creases, allowing light to glide over its form like a tendon under skin. Aerodynamics inform elegance: an integrated ducktail replaces a deployable wing, cleansing the airflow and boosting stability at speed. Its stance is athletic, its volumes taut, and its visual language unmistakably Bugatti. “Sculptural, organic forms—like a tendon beneath the skin—hide immense power behind noble simplicity,” said design chief Frank Heyl, capturing the car’s philosophy in a single stroke. Craft elevated to an art The cabin embraces craftsmanship at an uncommon level. Custom-woven textiles from Paris introduce a discreet tartan pattern, while green-tinted carbon fiber nods to the exterior’s hue. A glazed roof creates a cathedral atmosphere, bathing the cockpit in natural light. A central spine appears to flow from exterior to interior, emphasizing continuity and structure. Highlights include: Custom textiles with subtle tartan motifs Green-tinted carbon fiber matched to the exterior finish A “cathedral” glass roof that elevates cabin ambience A sculptural centerline linking outside to inside Bespoke embroidery and glass equine detail W16 power at its absolute apex Under the sculpted skin, the final evolution of Bugatti’s 8.0‑liter, quad‑turbo W16 delivers a thunderous 1,600 hp at 7,050 rpm and 1,600 Nm of torque. This represents the pinnacle of nearly two decades of Bugatti engineering, honed to an ultimate state. The lightweight monocoque blends carbon fiber with aluminum, holding mass to around 1,900 kg for poise and control. Experts suggest the Brouillard could surpass the 282 mph (454 km/h) achieved by the Mistral, aided by more aerodynamic bodywork and the fixed ducktail. Whether or not it sets a new benchmark, its intent is clear: relentless speed paired with refinement. Exclusivity with an exacting timeline The commissioning process is intensive, with roughly 18 months of development leading to a 2027 delivery. Bugatti’s program limits itself to no more than two creations per year, ensuring focus and rarity. Each example leaves the atelier as a singular vision, shaped to the client’s collection and the brand’s ethos. An unveiling is planned for Monterey Car Week 2025, placing the Brouillard amid the world’s most discerning enthusiasts. Its patron is a European collector deeply invested in the Bugatti universe, from historic and modern cars to Carlo Bugatti furniture and Rembrandt Bugatti bronzes. A valuation poised to make history While Bugatti has not disclosed an official price, informed estimates place the Brouillard between €10 million and €30 million. Context matters: a series Mistral begins near €5 million, while the Brouillard adds profound personalization, sculptural changes, and a pace of production that keeps scarcity front and center. In an arena where uniqueness drives value, the path to a brand record is unmistakably open. What it signals for the marque The Brouillard crystallizes Bugatti’s dual identity: traditional savoir‑faire intertwined with boundary-pushing performance. It exhibits a narrative soul—the white horse of Molsheim—woven into modern materials and world-class aerodynamics. As a rolling statement, it reaffirms that the Bugatti idea is larger than speed alone; it is about story, craft, and the courage to pursue an ideal to its logical limit.
Minister denounces Mandelson for interview in which he claims outrage about his Epstein links ‘disproportionate’
‘It is shameful. It does shame politics,’ said health minister Karin Smyth
Autism: myth-busting and what scientists still don't know : Short Wave
Autism has a long history of misinformation that continues to today. The Trump administration has perpetuated some of this misinformation in the last year. Among other things, officials have claimed certain groups of people don’t get the condition and that taking Tylenol while pregnant causes autism to later develop in children. Today, NPR Science Correspondent Jon Hamilton sets the record straight with host Emily Kwong on what scientists do and don’t know about autism. If you liked this episode, check out our episodes on an Autism researcher’s take on Trump’s claims about Tylenol and a Fragile X treatment that may be on the horizon.Interested in more science in the news? Email us your question at shortwave@npr.org.Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.This episode was produced by Berly McCoy. It was edited by Rebecca Ramirez. Tyler Jones checked the facts. The audio engineer was Damian Herring.
You might be stretching the wrong way, scientists say
A new wave of research is showing what the old gym myths about stretching got wrong—and what you really need to do to reap its benefits.
Getting laid off at 58 changed how I think about retirement
After being laid off at 58, she reexamined retirement myths and learned that cash flow matters more than hitting a magic savings number.
As winter drags on, Philly advocates are pushing to dispel myths about suicide risk
Research shows that rates of suicide are actually higher during the warmer months of the year, not during the winter holidays, a common misconception.
New MTG Leak Reveals Mid Mythic and Insane TMNT Class Bomb
Two new TMNT MTG cards have just been leaked online thanks to wonky prerelease pack promos from Lorwyn Eclipsed.
The biggest myth about aging, according to science
"This will help people take meaningful steps to slow the rate of aging and increase what we call their health span or their kind of time of life expectancy free from disease."
Are Seed Oils Bad for You? Debunking a Viral Social Media Myth
A food scientist debunks the vilification of seed oils on social media and explains what research says about them.
The 10,000 steps a day rule is a myth science reveals the real optimal number - Futura-Sciences
For years, makers of smartwatches and fitness trackers have pushed the idea that we should all walk 10,000 steps a day. The number has become a pop-culture benchmark, yet study after study has shown that ... Read more
Scientists push back on climate myths
A global network of experts at Science Feedback is correcting false claims about climate change and clean energy.
5 women's health myths, debunked by doctors
Some common misconceptions keep women from taking optimal care of their health. Here, doctors set the record straight.
Why connecting with nature shouldn't mean disconnecting from science
There is a growing trend to see our relationship with nature as a spiritual thing. This is a mistake, argues Richard Smyth
Fisher Auto Parts acquires 25-location parts business
Family-owned Smyth Auto Parts was founded in 1963 and has locations in Ohio, Kentucky and Tennessee.
Dispelling 9 Myths About Women’s Health
When it comes to heart health, immunity, reproductive health and more, misconceptions abound.
SCORE Northeast Wisconsin mentor busts 6 most common business myths
Ryan Kauth, business coach and certified SCORE mentor, is busting six business myths.
Myth busted: Your body isn’t canceling out your workout
Being active boosts your daily calorie burn more than previously thought. Researchers found that increased physical activity raises total energy use without triggering the body to conserve energy elsewhere. Basic functions keep running at full speed, even as movement increases. The result: exercise truly adds to your energy output rather than being metabolically “offset.”
A quirky guide to myths and lore based in actual science
Folklorist/historian Adrienne Mayor on her new book Mythopedia: A Brief Compendium of Natural History Lore...
From Dinosaurs to alien jaws: Clemson researchers separate science from fiction
January 2 is National Science Fiction Day. We help reveal which sci-fi ideas are pure myth and which are grounded in real science. January 2 is National Science Fiction Day. We help reveal which sci-fi ideas are pure myth and which are grounded in real science.
Red wine and your health: Facts and myths
Do the nutrients in red wine offer health benefits that outweigh alcohol’s health risks? A dietitian shares what to know.
What does Apollo CEO Marc Rowan want for Christmas? To define private credit
Apollo CEO Marc Rowan is planning to gift the definitive book on private credit to clarify risks and myths.
Massive Study Reveals Where Gout Comes From, And It's Not What We Thought
"The myth that gout is caused by lifestyle or diet needs to be busted."
Saints' Charlie Smyth: Misses field goal in win
Saints' Charlie Smyth: Misses field goal in win
Why an 18-year-old founder is still going to college
An 18-year-old founder is building her AI startup during high school — and explains why she doesn't buy the Silicon Valley dropout myth.
New Findings Upend Long-Held Beliefs About NFL Player Health Risks
UNC-Chapel Hill researchers dispel myth that NFL position or career length drive long-term health problems.
Things you believe cause cancer but actually DON’T: What science really says about common cancer myths | - The Times of India
Many common fears about cancer triggers are unfounded, according to a UK survey. While smoking and being overweight are proven risks, myths like stres