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Artificial intelligence is reshaping environmental science into a predictive and precision-driven discipline
Artificial intelligence is rapidly transforming how scientists study and protect the environment, shifting the field from traditional observation toward predictive, data-driven discovery. A new perspective article highlights how emerging AI technologies are enabling a fundamental change in environmental research, opening the door to faster, smarter, and more integrated solutions to global challenges.
Report: Health care costs rising faster than wages in Wisconsin
Ananth Seshadri, director and co-author of a report on health care costs, said increasing costs hurts Wisconsin's economic competitiveness because insurance is often tied to employment.
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.
Community, business leaders learn about economic growth during annual breakfast
There are many pieces in the healthy economy puzzle. Iowa Economic Development Authority (IEDA) Director Debi Durham spoke at the Marshalltown Area Chamber of Commerce Economic Outlook Breakfast on Wednesday morning and shared what should be done to help foster growth in local economies. Chamber President/CEO John Hall sat on the stage with Durham at […]
Doing business right
For Kelly O'Brien, business and ethics go hand in hand.
Life-threatening virus that causes vomiting and diarrhea at high levels in the U.S., CDC says
Rotavirus is highly contagious, fast-moving and especially dangerous for babies and young children. Doctors worry declining vaccination rates could lead to more hospitalizations.
Skild AI Acquires Zebra Technologies’ Robotics Automation Business
Skild AI, a fast-rising startup that makes software to help robots learn to complete tasks, has bought the robotics automation division of Zebra Technologies Corp., marking its latest effort to broaden its reach in a hot segment.
What to know about United Airlines' new basic business fares
United Airlines has launched basic versions of its Polaris and Premium Plus tickets. Here's what restrictions you'll face.
One type of exercise can cut your risk of developing 8 diseases
Whether you’re hauling groceries or swimming faster laps, the amount of vigorous exercise you get matters and can slash your risk of developing eight diseases.
5 Everyday Breakfast Foods to Support Brain Health
Start the day with foods that may sharpen memory, focus, and cognitive performance.
Windows 11 Speeds Up Storage, Lifts 32GB FAT32 Limit After 3 Decades
This should help storage management feel faster and more user-friendly.
Savannah Mayor's Small Business Conference registration open. Spots go fast
Savannah's Mayor's Small Business Conference and Small Business Week offer networking, resources, and events for local entrepreneurs.
How Midi Health is using AI to transform care and scale fast
Midi Health is using AI to train providers and scale care for menopausal women. Here's how it built its own chatbot and reshaped operations.
This simple change stops robot swarms from getting stuck
In crowded environments, more robots don’t always mean faster results—in fact, too many can bring everything to a standstill. Harvard researchers discovered a surprising fix: adding a bit of randomness to how robots move can actually prevent gridlock and boost efficiency. By allowing robots to “wiggle” slightly instead of marching in straight lines, they can slip past each other and keep tasks flowing smoothly.
Air Canada to debut luxe new cabins and business class seats
Air Canada previewed a stunning new business class seat for its Airbus A321XLR and Boeing 787-10, along with refreshed coach and premium economy cabins.
Current Capital One Venture Business welcome bonus offer
The current bonus offer on the Capital One Venture Business provides new cardholders the chance to earn valuable Capital One miles. Here's what you need to know.
Today is World Quantum Day. Here’s why it matters more than you think
World Quantum Day highlights the science behind technologies that already power your life and those that could reshape it next.
Disney Layoffs Hit Studios, TV, ESPN Under New CEO Josh D'Amaro
"Given the fast-moving pace of our industries, this requires us to constantly assess how to foster a more agile and technologically-enabled workforce to meet tomorrow's needs," the CEO told staff Tuesday.
Capital One closes Spark Miles, launches Venture Business
The Capital One Spark Miles is no longer open to new applicants, but the Venture Business has arrived to offer solid perks in its place.
Physicists just witnessed pinpricks of darkness moving faster than the speed of light — without breaking the laws of relativity
For the first time, researchers measured singularities in combined light and sound waves moving faster than the speed of light. The findings have implications in fluid dynamics, optics and many other fields.
Big Money Is Betting on Bagels
High-quality bagels were once the sole domain of a few major cities. Investors believe they can take the breakfast staple nationwide.
Brian Mast backs 'exceptionally well-qualified' Blaise Ingoglia in CFO race
'Blaise Ingoglia has demonstrated steadfast leadership and a clear commitment to protecting Florida’s taxpayers.'
Fulshear leaders, businesses navigating rapid growth as population rises
Fulshear, one of the fastest-growing cities in the country, has grown from about 2,500 residents to more than 50,000, according to city leaders. Business owners say the population boom is bringing both new customers and growing pains, including heavier traffic and increased strain on infrastructure and public safety.
Universe is expanding faster than expected: Scientists struggle to explain cosmic acceleration
Science News: Not only is the Universe expanding, but its expansion is actually happening at a speed higher than was thought possible until recently. For many years.
WEBTOON Entertainment Announces Leadership Changes to Accelerate Global Growth Strategy
LOS ANGELES & SEOUL, April 13, 2026--WEBTOON Entertainment Inc. (Nasdaq: WBTN) today announced a new global leadership structure and Chief Business Officer role as it accelerates execution and innovation under recently appointed President Yongsoo Kim. The company has unified its global leadership structure to move faster and integrate regional operations, enhancing speed and efficiency across the company’s global ecosystem.
Blackmagic Design announces Blackmagic URSA Cine 12K LF 100G
Blackmagic Design today announced Blackmagic URSA Cine 12K LF 100G, a new model in the URSA Cine family with 100G Ethernet for high-frame-rate SMPTE-2110 live production output up to 440 fps. Building on the digital film features of the URSA Cine 12K LF, including the large format RGBW 36x24mm sensor, the new model adds dramatically faster … Continued
Australian sprinter Gout Gout breaks under-20 record with blazing 200m time, surpassing legendary Olympian Usain Bolt
Gout Gout is faster than Usain Bolt was at age 18.
Gov. DeSantis is celebrating an Everglades restoration milestone ahead of schedule
'Together, we've taken on one of the most ambitious ecosystem restoration efforts in the world, and we've agreed to do it faster.'
Fastenal CEO says business has been ‘slowly ramping up’ since last summer
Fastenal CEO Dan Florness joins 'Money Movers' to discuss an uptick in industrial production, tariff impacts, and more.
Now Hiring: SSM Health in need of medical assistants
The U.S. Bureau of Labor Statistics says careers for medical assistants are growing "much faster" compared to other professions.
Delta has big hopes to build a $5 billion maintenance business
A fast-growing revenue stream to watch at Delta Air Lines doesn’t have to do with Sky Clubs, new routes or more airplane seats. It has to do with maintenance.
Entrepreneurship was never easy, but it doesn’t need to be relentless
Why entrepreneurs and small business owners struggle with mental health, and how intelligent systems can improve that.
Tut Tut - Small Business Success Stories
Learn how Tut Tut, a local delivery company in France, uses Mac for application development and to power its fast-growing operations.
Surfshark Just Dropped a Next-Gen VPN Protocol That Could Be Faster and More Secure Than Other VPN Connections
The new Dausos connection protocol has been independently audited and includes a few key innovations not found in other VPNs.
Tested: Windows 11 just fixed slow storage management and removed a 30-year FAT32 limit
Windows 11 improves storage performance and removes FAT32 32GB limit. Disk properties now load faster in latest Insider builds.
I chased pro bowling while working fast food. It paid off.
Kyle Troup went from working at Wendy's to earning nearly $500,000 in a record-breaking bowling season and building financial security.
Laramie County health and food inspections (4/3/26–4/9/26)
CHEYENNE, Wyo. — The Cheyenne-Laramie County Health Department inspects restaurants, bars, convenience stores, delis, grocery stores, bed and breakfasts
Jesuit-Rummel winner clinches district title as fast-working pitcher overcomes early struggles
After each pitch, Maes Martin quickly took the return throw from the catcher and stepped back onto the rubber.
Heartland Sports on The Breakfast Show 4/12
Heartland Sports on The Breakfast Show 4/12
Mt. Carmel church hosts Minority Health Month men’s breakfast to raise awareness
Men gathered at Mt. Carmel Community Baptist Church on Saturday for the annual Minority Health Month Men’s Breakfast, an event aimed at raising awareness about
Costco Just Introduced the Kirkland Product Fans Have 'Been Waiting For,' and It's Selling Out Fast
Costco’s Kirkland Signature Ultra-Filtered Reduced Fat Milk, which is remarkably similar to Fairlife 2% Lactose-Free Milk, boasts 13 grams of protein per serving and half of the sugar compared to regular milk, at a fraction of the cost.
The Universe is expanding too fast and scientists still can’t explain it
A major international effort has produced an ultra-precise measurement of the Universe’s expansion rate, confirming it’s faster than early-Universe models predict. By linking multiple distance-measuring techniques, scientists ruled out simple errors as the cause of the discrepancy. The persistent “Hubble tension” now looks more real than ever. It could mean our current model of the cosmos is incomplete.
ON THE JOB: “What is the Best Business Advice You’ve Ever Received?
Interviews by Deborah Jeanne Sergeant Sound advice can contribute to your success. We recently asked area business leaders, what was their best advice they’d ever received. Here’s what they said: “The best advice I ever received was from my then –boss, Gerry Church, Fulton plant manager at Miller Brewing Co. He told me that whenever I wanted to discuss a business problem or issue with him, I should also be prepared to offer possible solutions. It’s the difference between being proactive or reactive. It’s also the difference between being a leader or follower. That has served me well in any business relationship I have had since then.” — Stephen Chirello, Owner, Steve Chirello Advertising, Fulton “Someone will always do it for less; they will also take the most effort to service or satisfy and leave you for the next lower price.” — John M. Henry, Owner, Speedway Press, Mitchell Printing, Phoenix Press, Oswego “I’m going to answer this question by turning it around and giving my own advice that is, ‘Always treat every customer as if they were your only customer!’ We are celebrating our 50th anniversary in business this year. We started our business on March 25, 1976. My advice works.”” — Nick Chervinsky, President, Brewerton Pharmacy, Brewerton “’You need to toot your own horn, my grandfather, Howard D. Dice, told me.” — Beth Ann Dice, Women’s active aging and cancer recovery coach, Mission Movement Wellness Studio & Breast Cancer Recovery Studio, Fulton “In the micro enterprise class, they taught, ‘Get a good lawyer, accountant and bank.’ That was over 30 years ago and I still have those three today. I chose good people I could grow with.” — Tony Pauldine, Owner, Anthony M. Pauldine General Contractors Inc., Oswego “From my grandfather; ‘Listen to everyone! You never know where you will get the solution you need.’” — Kevin Dean, Executive director, Oswego County Opportunities, Fulton “‘Preparation is the mother of success.’ My dad always drilled that into my head growing up, and it has helped me avoid a lot of snags in both my personal and professional life. Thanks, Dad!” — Bekkah Frisch, Owner and president, iHeart Holdings, Inc., Fulton “If you don’t take a risk and try, you will never know.” — Justin Taber, Owner, Torbitt’s Service Center, Oswego “Be ready to take a loss.” — Cody Seymour, Manager, Damiano’s Eatery, Mexico “I’ve received so much good business advice over the years. When people are giving you advice, always be curious rather than judgmental. Follow your gut. Doing the right thing is never the wrong thing.” — Dana Decker, Principal owner/broker, Berkshire Hathaway Home Services, Oswego ’Do it and figure it out later.’ It hasn’t failed me yet. Too many people take time to think about doing this and this and this and then the opportunity is over with. If it’s somewhat reasonable — if it’s not something outrageous — do it and figure it out later.” — Jeremy Allen, Licensed real estate salesperson, Acropolis Realty Group, Syracuse “’Try to meet the needs of the customer. Treat them like you’d like to be treated.’ It’s like the Golden Rule says.” — Douglas Dickson, Physician and associate at CNY Foot Surgery and Podiatry Care, East Syracuse “The best piece of business advice I’ve ever received applies to life in general: always be honest. Never overstate your capabilities and always be willing to ask questions. The more specific you can be in any given topic will always lead to a better outcome.” — Tom Fernandez, President, Woodbine Hospitality, Syracuse “As a business owner, the advice would be ‘Don’t overextend yourself. Especially in agriculture, expect issues to come up.’ If something is going right, it’s not true agriculture. This last season, we scaled very hard to field another crew. We got more drones, crew and generators based on projections. This last season hit the ag community hard with a very wet spring. We did 15,000 to 20,000 acres for fungicide and the same for cover crop seeding in 2024. We scaled to 25,000 to 30,000 for 2025. We ended up doing 2,000 for fungicide and 3,000 for cover crop seeding. That’s why that advice was good.” — Rick Jordan, Operations manager, CNY Drove Services, Clinton “’Keep your head down, mind your own business and do the best for your clients that you can do.’ It has a lot to do with my success in working for Galloway Century 21.” — Ed Fayette, New York state licensed real estate agent, Century 21 Galloway, Oswego “’Expand in all ways, always.’ It just keeps you going and keeps you growing.” — Stephen Baier, Licensed real estate person, The Real Estate Agency & Bouck Commercial, Auburn “The best advice is, ‘Your biggest asset you won’t see on the books because it comes from your employees.’” — David Flickinger, Owner, Edible Arrangements, Syracuse “Don’t take things personally when you’re working with the public.” — Leeann Desimone, Manager, Annie’s Hallmark Shop, Auburn “‘Follow up.’ The customer knows that you care about what you are doing and that their opinion counts. Sometimes they might be on the fence about whether they want to use your company. If they’re asking your opinion on things, they feel you are concerned about what you’re doing. They like to be kept in the loop if they’re spending money with you.” — Dorothy Casper, Saslesperson, SweetWoods Memorials, Phoenix “The best business advice I received is ‘Never be the smartest person in the room. Surround yourself with people who are smarter than you.’ That’s how you learn.” — Debbie Bilello, Owner, Virtual Office Solutions, Central Square “’You need to grow your business but you can’t grow too big too fast.’ That’s what we’ve done at Pinnacle Maintenance. We’ve tried to grow but not too fast. Along those same lines, there’s another good piece of advice, ‘Don’t take on more than you can handle because it only leads to a bad name for your business and a bad experience for your customers.’ It goes along the same lines as growing your business slowly and carefully.” — David Wines, Owner, Pinnacle Maintenance, Central Square “Always be on time and do what you say you are going to do.’ I’ve done very well following that advice. Most of my work is referral and I don’t really do any advertising so I have a pretty good customer base. It’s mostly word-of-mouth from satisfied customers.” — Robert J. Fleming, Owner, Bob Fleming Windows & Doors, Brewerton “’Concentrate on your finances, always pay your taxes, and form a team you can depend on. Try to help the community you’re in as much as you can.’ We do all of these all the time here. We give and give and give to the community and the community gives back to us always.” — Susan Bonnet, Co-owner, Bonnet Sales and Service, Central Square “Keep smiling. It brings a positive attitude to the workplace.” — Karin Lindsley, Vice president, DTS Truck Service, Syracuse “‘Customer service above all.’ Following this advice has served us very well.’ — Guy Fox, Owner, Fox’s Discount Parts, West Monroe “The best thing to do is to make sure you’re taking in more money than you’re spending. I wish I could say I’m a good businessman but I have been in business since 1981. I’m not a bean counter but work well with my hands and its’s served me well all these years and I am still in business.” — Matt McGill, Owner, Matt McGill Collision, Brewerton
If You Visit JoJo’s Diner, Bring Your Appetite
By Stefan Yablonski Q: When did you open? A: We opened Oct. 1. Q: Did you have a previous business? A: This is my first business ever. Q: So why did you start this? A: I was cooking for people my entire life and I decided I’m just going to try it on my own. And here we are! Q: How’s business been? A: It’s been good. Kind of slow over the winter, but starting to pick up now that the weather is getting better. We have high hopes for spring. We were really hopping over the weekend when it was much nicer out. Q: What’s your best dish? A: Our junkyard plates are our huge specialty. It’s a huge messy plate of goodness. We also have breakfast sandwiches, waffles, smashburgers and more. Q: Do you own this building? A: We lease from Chuck Burger. He’s our landlord. He has been super helpful. He provided all the equipment. I didn’t have to. Q: You’re a breakfast spot? A: We do breakfast and lunch all day. It’s kind of our thing. We are open 7-3 every day except Tuesdays. Q: How big is your staff? A: Currently it’s one other person. It’s just been me on the front end and someone in the kitchen or vice versa. Q: It’s all to go? A: Everything comes out ‘to go’ — served in to-go containers. You can eat inside or you can take it with you. We don’t have to provide extra staff for waitresses and dishwashers and all that. Q: Do you have any business background? A: I did the small business program at the college. But that’s about it. We’re new, but we’re still building. We hope to grow and stay here for a long time.
“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.
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Nickelodeon Extreme Tennis Next announced for Nintendo Switch
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