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Seniors: Carol Watson, 72
Owner of Carol Watson Greenhouse and Landscaping in LaFayette enjoys her growing business — still puts in six-, seven-day weeks By Mary Beth Roach Carol Watson, the owner of Carol Watson Greenhouse and Landscaping, has been in gardens since she could walk. Literally. She said she learned to walk in her grandfather’s garden, which was next door to her current home and business in LaFayette. Today, at 72, she is running the business that her mother, Claire, opened in 1981 as Watson Greenhouse. Watson worked part-time for her mom until 1990, when she joined her full time. While she may not have had any formal horticultural experience, she said she learned so much about growing and raising plants from her mom, who had an abundance of energy and talent. Now, after 35 years in the business full time, Watson has no plans to retire, although she joked that she’d like a couple of days off a week. On her seven-acre site, complete with four greenhouses, Watson said her favorite parts of the job are working with and educating her customers; helping some of her young customers build terrariums; conducting occasional class field trips; and supporting local art by decorating the shop with an eclectic mix of pottery from at least four area craftspeople. A one-time employee of the former Dey Bros. department store in Syracuse, Watson said she loves merchandising and enjoys displaying unique pieces of art on shelves and even suspending from ceilings. “We’re creative. We also had top quality plants. We got a reputation of quality plants and unusual products,” she said. It’s tending to her customers and her plants, showcasing the unusual products, and hosting special events to benefit the community that keep her motivated to work six to seven days a week. “I just love it. I love taking care of the plants. I’m one of the few people that really enjoys watering,” she said. And while she has cultivated a solid customer base over the years, she remains savvy in her marketing efforts to draw in new customers. For example, she does a gardening segment on CNY Central television; her active Facebook page has thousands of followers; and she hosts a number of unique events and classes that not only introduce her shop to potential new clients, but some benefit nonprofits as well. About 13 years ago, when the local symphony orchestra was struggling, she said she wanted to help. So, partnering with the group, she began offering concerts, called Soirees, featuring the Syracuse Orchestra’s string quartet. Following up on a suggestion from a customer whose brother is a deejay in retirement, specializing in sock hops, she hosted the greenhouse’s first sock hop. Plants got moved back toward the walls to make room for dancing; a caterer was brought in, offering diner-like food; guests came in period outfits; and proceeds went to the Food Bank of CNY. She is excited about doing it again in October. Via her website, she promotes the greenhouse as an “oasis in the snow,” offering visitors the opportunity to pick up some decorating and gift ideas while taking in the floral and citrus scents. And she also caters to her four-legged friends. Over this past winter, she said, she came up with a “brilliant idea,” although at the time she didn’t appreciate just how brilliant it would become. Feeling it too cold outside to take her dog for a walk, she opted to bring it into the greenhouse. And before long, she was inviting people to bring their dogs into the big greenhouse as well. She looks forward to extending that invitation again this upcoming winter season. For Watson and her customers, the greenhouse is always in season.
Patriots host potential backup quarterback on pre-draft visit
Jalon Daniels projects as a late-round pick or rookie free agent in this year’s NFL Draft.
Brian Cox: ‘We don’t know how powerful AI is going to become – it’s both exciting and potentially a problem’
The physicist, BBC presenter and author on snowflakes, art v science and the time Paul McCartney quizzed him about one of Saturn’s moons
Takeaways From the First Big Gathering of Potential 2028 Democratic Candidates
The National Action Network convention showcased similarities and some differences in a wide open field of possible contenders.
“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.
King County confirms measles case in infant; exposure risk in Bellevue and Seattle low
Public Health – Seattle & King County is warning of potential measles exposures in Bellevue, northeast Seattle, and on public transit after confirming a case in
In praise of popular science
As a kid, I was enthusiastically and unreservedly in favor of a manned space program. Our destiny lay in the stars, I figured. Get people out there. We need Star Trek here and now. As I got older, I became rather disenchanted with the idea. Humans are expensive, fragile, and inefficient as space cargo. We could flood the solar system with 100 robotic probes for the price of any single manned mission and get back just as useful data. Besides, it turns out space travel is dangerous. Tusk is a reader-supported publication. To support this work, please become a paid subscriber. Subscribe When it came to the recent Artemis II mission, my cynical side didn’t really see the point. Flying around the Moon and back is literally something we did before I was born, and I once owned a Members Only jacket. Apollo 8 circled the Moon ten times and returned to Earth safely the same month that “Chitty Chitty Bang Bang” was released. What was the point of repeating a feat that far braver people once did with tin foil and slide rules? Yet I’ve surprised myself with how moving I’ve found the Artemis II mission to be. The photos have been stunning. The crew has been professional and engaging. There have been modest but important milestones — the farthest humans have travelled from Earth; the first woman, person of color, and non-American to leave low-Earth orbit; innovations in communication, and more. One thing that really stood out is that this is really NASA at its finest. Not that this is the most important mission they ever pulled off, but they did this in a competent way that celebrated the achievements and kept the crew and the science at the forefront of the project. This wasn’t some billionaire throwing celebrities or cars into orbit as a vanity project — this was a collective effort to send experts in to do a job and come home safely. We don’t see that sort of thing much these days. I’m guessing few people would describe many government agencies as inspiring, but this one counts for me. We’re living through a profoundly anti-science era, in which pathbreaking, lifesaving discoveries like mRNA vaccines are routinely downplayed or even vilified. As I’ve noted previously, this era is something like that of the Red Scare in the 1940s and 50s, in which “egghead” professors were portrayed as out of touch or even hostile to regular Americans. One of the things that helped break that spell was Sputnik — the Soviet communications satellite that demonstrated that the United States was falling behind in crucial scientific research and applications. Its launch triggered a new appreciation for American science and goaded the federal government into supporting research universities and labs. I’m not saying that Artemis is the equivalent of Sputnik, but it potentially reminds people that there’s some value to scientific endeavors and the human faces attached to them. Despite my love for the show “For All Mankind,” I’m far from convinced that there’s any real value to putting colonies on the Moon or Mars that would justify the capital investment and the massive health risks to the astronauts. But sending scientific good will ambassadors on a trip into space once in a while? Bring it. Share
Trump Moves Top Aide James Blair to Political Operation Ahead of Midterms
Mr. Blair will “lead the charge from the outside,” the president said on social media. The move comes as Republicans are bracing for a potentially difficult November election.
Trump Moves Top Aide James Blair to Political Operation Ahead of Midterm
Mr. Blair will “lead the charge from the outside,” the president said on social media. The move comes as Republicans are bracing for a potentially difficult November election.
Potential Democratic 2028 Candidates Condemn Trump’s ‘War of Choice’ in Iran
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Walmart CFO bullish on e-commerce growth, Marketplace potential - Talk Business & Politics
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Analyst sees MVP potential for Jaguars QB Trevor Lawrence
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Samsung quietly increased the price of two Galaxy Z Fold 7 models
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Leaker gives iPhone 18 Pro updates on two design changes
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Cleveland Browns NFL Draft Profile: DE Keldric Faulk, Auburn
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Oppo details most powerful phone camera system ever; compares it to iPhone 17 Pro
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‘High Potential’: Kaitlin Olson Reveals Morgan’s Most Important Work Relationship
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SUNY Cortland adds business student credential potential
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Saints Select LSU Tigers Playmaker in 2026 Mock Draft
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Roblox's Peter Yang says AI is coming for corporate life
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Is MSG Entertainment's Tokyo Sphere Plan Shifting Its Concentration Risk Story (MSGE)?
Madison Square Garden Entertainment recently received fresh analyst attention with BTIG initiating coverage and the company advancing talks to bring its large-scale immersive Sphere venue concept to Tokyo, alongside appointing Allen Lo as Executive Vice President and Chief Legal Officer in late March. Together, the analyst endorsement and potential Tokyo Sphere highlight how MSG Entertainment is pushing its immersive live-event format beyond its core U.S. venues, which could gradually reduce...
The Boundless Deep: Young Tennyson, Science, and the Crisis of Belief by Richard Holmes
Pantheon Review by Walter Cummins The image of Alfred Tennyson I’ve carried for decades goes back to the childhood card game of Authors that depicts him with a stately continence sharpened by a jutting black beard. He’s formidable, his aura superior. Holmes opens his biography of the youthful Tennyson by describing the similar formality of the imposing Tennyson statue at Trinty College Cambridge, sharing the honor with other Trinity greats, including Isaac Newton, Francis Bacon, and Thomas Babington Macaulay. Holmes doesn’t want to chip away at that statue but rather reveal its inner youthful core of the man—tall, handsome, and talented but unformed, emerging from a disturbed family of addicted or insane male siblings and four unusual sisters struggling under a violent alcoholic clergyman father. Alfred was certainly statuesque, but would he end up a block of unformed stone like his equally promising brothers? He was youngest of three equally regarded Tennyson brothers at Cambridge, all bright, handsome, and talented, in fact Alfred regarded by some as less promising than his elders who also wrote poetry. Yet Alfred wrote one of his major poems, “The Kraken,” at twenty, revealing both his talent, his interest in geological forces, and the haunting creature that embodied his anxieties. While Holmes focuses on Tennyson of the 1830s and 1840s, he can’t tell his story without exploring his involvement with the Victorian intellectual upheaval. Tennyson was fascinated by new scientific perspectives, following the latest findings as soon as books and articles were published. He was especially taken with Charles Lyell’s deep studies of geology and the discovery of fossils and a timeline of the planet’s development that did much to question fundamental religious assumptions. The impact of these discoveries is reflected in Tennyson’s poetry and led to the crisis in belief he shared with so many contemporaries. He was especially taken by the cycles of destruction and renewal that informed the struggles he confronted in In Memoriam, Maud, and Idylls of the King. Tennyson was only one of the eventual major figures at Cambridge at the same time, young men just beginning to realize their potential. Charles Darwin was at Christ College, although there is no evidence that he and Tennyson even met as students or later in life. Yet evolution became significant in Tennyson’s thinking and the issues of his poetry. One of Tennyson’s best and most important Cambridge friends was Edward FitzGerald, who became the translator of The Rubáiyát of Omar Khayyám and in their on and off relationship served as Tennyson’s harshest critic. FitzGerald was also a friend of the novelist William Makepeace Thackeray, the two of them partying in Paris as undergraduates. That connection led to a friendship between Thackeray and Tennyson. Others who came to play significant roles in Tennyson’s life were Thomas Carlyle, the Brownings, and the Pre-Raphaelites. Tennyson’s deepest friend at college was Arthur Hallam, who at twenty wrote a glowing review of Tennyson’s first poetry collection, travelled on European adventures with him, and fell in love with his sister Emily. Hallam was also regarded as one more very promising Cambridge student. His sudden death at twenty-two in Vienna from a stroke while travelling with his father devastated many friends, but perhaps Tennyson most of all. He did not write immediate poems of grief but took years to compile those collected in In Memoriam A.H.H., published in 1850, almost twenty years after Hallam’s death For all of Tennyson’s early poetic successes and successes, Holmes reveals him as an often troubled young man suffering periods of depression, fearing planetary upheaval, concerned about supporting himself, disappointed in romances, and worried that he would inherit the family’s mental illness tendencies. Yet despite his seeming withdrawals, he was always writing poetry that he kept private and would not let go, constantly revising. 1850 became a transformative year for Tennyson. He finally consented to publishing In Memoriam with a last-minute prologue that acknowledged God and perhaps convinced the religious Emily Sellwood to marry him after years of pursuit.. He opened up to Emily, revealing his struggles with fears of depression and “weird seizures.” The devastating event of that time was the stillborn death of his unnamed first son. It shook him, but Emily’s faith brought them closer and convinced him to believe in an afterlife. Two later sons survived. With the death of William Wordworth in April of 1950, Tennyson was named poet laureate at age forty-one, reluctantly accepting. It’s as if Tennyson’s life split in half in that year. He lived another forty years, now a recognized success, with the prestige of being an official poet writing patriotic verse, wealthy and revered, no longer the insecure young man seeking an outlet for his immense talent. He earned a place in the Authors deck, now dignified and in 1884 elevated to the peerage as Arthur, Lord Tennyson. Richard Holmes is the author of twenty previous books on the Romantics and Victorians, several of which received awards. The Boundless Deep was shortlisted for the 2025 Baillie Gifford Prize for Non-Fiction. He captures the complex vicissitudes of Tennyson’s youth, illustrated by frequent excerpts from the poetry, placing that life in the full context of the shattering discoveries that led to an upheaval of thought in the Victorian age.
Eagles could reload defensive line in 2026 NFL Draft
While they have outstanding depth at defensive tackle, Howie Roseman could look to add a true defensive end or a versatile edge rusher to enhance their explosive potential and reinforce their depth.
Bone rescans 'another example of health inequalities' in Jersey
Patients have been called for a repeat scan after an independent review found "potential concerns".
Stable One UI 8.5 release dates leak for Galaxy S25 series
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Apple's foldable iPhone encounters engineering snags, faces potential shipment delays, Nikkei Asia reports
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Annette Taddeo weighs run for her old Senate seat as Dems seek to build on recent wins
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Lil Nas X gets mental health diversion in police battery case
Lil Nas X, who was arrested last August, reportedly will enter a two-year mental health diversion program in the latest step to potentially resolve a felony battery case.
FTI Consulting Adds Three Leading Mining and Resources Business Improvement Experts
SYDNEY, April 06, 2026 (GLOBE NEWSWIRE) -- FTI Consulting, Inc. (NYSE: FCN) today announced the appointments of James Chapman, Steve Dyson and Franz Wentzel as Senior Managing Directors in its Australian Transformation practice, bringing their experience as former global heads of Big Four accounting firm mining practices to help clients realise their full value potential. The appointments of Mr. Chapman, Mr. Dyson and Mr. Wentzel continue the firm’s growth of its Transformation – Mining team, fo
Arizona cardiology practice paying $3.85M to resolve lawsuit after data breach
The 2023 incident potentially gave an attacker access to the names, addresses and Social Security numbers of thousands of heart patients.
Federal Agency Unveils Three Potential Osteoarthritis Treatments
With funding from ARPA-H, three teams of researchers have regrown bone and cartilage, even entire knees, in animal studies. Human trials are not far off.
CNN will host a California gubernatorial primary debate on May 5
CNN will host a California gubernatorial primary debate next month, a potential inflection point in a crowded campaign that Democrats are concerned could provide an opening for Republicans.
The Science Behind Fish Markets And DNA Tracking In The Arabian Gulf
Scientists in Bahrain are building the country’s first DNA reference library for sharks and rays using fish market samples, unlocking the full potential of environmental DNA to identify species in one of the hottest and most understudied seas on Earth.
A potential middleground in biomarker testing budget fight
A group of cancer survivors from around the state is set to gather outside Gov. Kathy Hochul’s Manhattan office on Tuesday.
Burcum: In walking away from a tanning ban for minors, FDA misses a chance to prevent melanoma
"How seriously are we supposed to take Robert F. Kennedy Jr., the guy who’s supposed to be making America healthy again, when he’s abandoning an opportunity to prevent a common, potentially deadly cancer for generations to come?" columnist Jill Burcum writes.
FCC eyes changes to live sports broadcast rules amid fan frustration
The Federal Communications Commission (FCC) is opening the door to a rewrite of its rules for local blackout restrictions on live sports, a move that could be the first step in a potential shakeup …
Trump endorses Republican Steve Hilton in California governor’s race
President Donald Trump has thrown his support behind Republican Steve Hilton in the California governor’s race, potentially shaking up a crowded race to replace outgoing Gov. Gavin Newsom.
St. John's Health 'likely' to ask voters for property tax bump
As St. John’s Health navigates turbulent financial waters and a potential Wyoming property tax cut at the ballot in November, the hospital may ask Teton County voters to double its
Lakers' LeBron James criticizes son Bronny mid-game vs. Mavericks
This moment has some meme potential.
Knicks, Hawks meet in potential playoff preview
In a potential Eastern Conference first-round playoff preview, the visiting New York Knicks look to slow down the streaking Atlanta Hawks on Monday night.
Four Steelers that could be traded before 2026 season
Four Steelers to keep an eye on in a potential trade.
What now? State study weighs health impacts of Republic Steel in Canton
A new state study examines Canton Republic Steel's potential health effects on the community. Neighbors remain uncertain.
Siemens Healthineers Diagnostics Review Puts Valuation And Business Mix In Focus
Siemens Healthineers (XTRA:SHL) is reviewing options for its Diagnostics business, including a possible sale. The review follows moves by Siemens AG to reduce its majority stake in Siemens Healthineers. Any decision could reshape the company’s business mix within the global healthcare diagnostics market. Siemens Healthineers operates across imaging, diagnostics and related healthcare technologies, giving it a broad role in hospital and lab workflows. A potential change in the Diagnostics...
A Look At Penn Entertainment’s (PENN) Valuation After A Market Rally On Easing Macro Concerns
PENN Entertainment (PENN) moved following a broader market rally tied to potential de-escalation in Iran and more reassuring Federal Reserve comments on interest rates, raising questions about how much of the stock reaction is company specific. See our latest analysis for PENN Entertainment. That move sits within a mixed recent pattern, with a 7-day share price return of 7.26% but a 30-day share price return of 4.52% and a 1-year total shareholder return of 3.36%. Longer term performance,...
Orbán’s top rival eyes PM term limits to bar his potential return
Péter Magyar said his party would seek to limit the PM’s tenure to two terms.
Medicines watchdog to investigate UK peptide clinics over health claims
Exclusive: Guardian investigation finds several clinics making potentially unlawful claims about benefits of unregulated therapies
Who's in 2026 NHL playoffs? Latest standings, bracket and tiebreakers
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UC execs’ ties to vendors draw scrutiny as Calif. lawmaker pushes ban
A new bill would block UC executives from being paid by university vendors, a first-in-the-nation proposal targeting potential conflicts of interest.
Politics Unusual: CEO of Partnership for NYC Fulop, former advisor on mental illness | FOX 5 New York
In this week's episode of Politics Unusual, FOX 5 NY's political reporter Morgan McKay speaks to Steven Fulop, the CEO and President of Partnership for NYC, about the potential impact of possibly increasing taxes on businesses. Also, a conversation with Brian Stettin, a former senior adviser on severe mental illness in the Adams administration.
Company backed by Trump sons looks to sell drone interceptors to Gulf states being attacked by Iran
The sales drive by Florida-based Powerus – which announced a deal last month to bring aboard Eric Trump and Donald Trump Jr. – positions the company to potentially benefit from a war that their father began.
Brian Nathan pivots from upset win to governing sprint as potential rematch with Josie Tomkow looms
Nathan said the importance of representing roughly half a million constituents is not lost on him.
Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
Commanders TE Chig Okonkwo 'total opposite' of Zach Ertz
Zach Ertz is a potential Hall of Famer and was great for the Commanders, but Chig Okonkwo gives something different.
The Centennial State’s nuclear energy opportunity
Colorado was given a clear opportunity earlier this year. On Jan. 28, the U.S. Department of Energy issued a Request for Information (RFI) seeking potential hosts for Nuclear Energy Innovation Campuses — an early-stage process designed to identify states serious about shaping the next generation of energy development. What followed was not hesitation from local […]
Has Madison Square Garden Entertainment (MSGE) Run Too Far After A 93% One-Year Surge?
Investors may be wondering whether Madison Square Garden Entertainment, at around US$60 a share, still offers value or whether most of the opportunity has already been priced in. The stock has returned 6.1% over the last 7 days, is up 11.0% year to date, and has gained 92.5% over the past year. These moves can change how the market views both its potential and its risks. Recent coverage has focused on Madison Square Garden Entertainment as a pure play on live entertainment venues and...
Iterative Health, US Heart & Vascular Partner to Advance Community-Based Cardiovascular Research
April 2, 2026 — Iterative Health and US Heart & Vascular (USHV) have announced a strategic partnership to advance research through community-based innovation in cardiovascular care. "Clinical research is one of the most powerful ways we expand access, improve patient outcomes, and shape the future of cardiovascular care," said Robbie Allen, chief executive officer of US Heart & Vascular. "By partnering with Iterative Health, we are strengthening our ability to bring innovative therapies directly into the communities we serve. This collaboration ensures our physicians and patients have access to leading-edge trials while allowing US Heart & Vascular to remain focused on delivering exceptional, physician-led care." Under the agreement, USHV research sites will join Iterative Health’s global site network, which now spans over 100 sites across three continents. The companies share a commitment to advancing clinical research as a driver of care innovation, and this collaboration represents a major milestone for both organizations, strengthening USHV's leadership in community-based cardiovascular research and expanding Iterative Health's multispecialty focus beyond GI, hepatology, and obesity into cardiology. USHV clinical research sites will gain access to Iterative Health's centralized operational backbone, providing end-to-end support across clinical research operations, services, business development, technology innovation, and corporate functions. The strategic partnership reduces operational complexity and unlocks growth potential for USHV research sites while enabling all USHV physicians to expand access to cutting-edge therapies to the thousands of patients they serve annually. "Innovation in cardiovascular medicine shouldn't be limited to a few academic centers," said Thomas Waggoner, DO, MD, RPVI, FACC, FSCAI, FSVM, RPVI, Structural Cardiologist and Medical Director for Clinical Research at Pima Heart & Vascular, and USHV Physician Champion for Clinical Research. "By expanding community-based research across USHV, we're ensuring more patients have access to clinical trials and breakthrough therapies close to home, where trusted relationships with their physicians already exist." This alliance reinforces Iterative Health's standing as the definitive research partner across specialized therapeutic areas, now spanning GI, hepatology, obesity, and cardiovascular care. Trusted by many of the nation's leading provider organizations and biopharma sponsors, Iterative Health's global site network delivers industry-leading trial performance, accelerating life-changing therapies to market at scale. "Entering cardiology through our strategic partnership with US Heart & Vascular is a defining moment for Iterative Health and reflects the strength of our site-serving model," said Jonathan Ng, founder and CEO of Iterative Health. "Together, we are ensuring that thousands of patients have access to the newest available therapies, and that sponsors have a credible, high-performing partner to accelerate cardiovascular trial success." For more information, visit www.iterative.health and https://usheartandvascular.com/.
The safest pick, biggest gamble and more 2026 NFL Draft superlatives
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ARPA-H launches groundbreaking, $144 million program to combat toxic microplastics in the human body
New STOMP program will uncover how microplastics build up in the body—and drive new ways to protect people from their potential health impact.
Chemists make hydrogen from breadcrumbs in groundbreaking reaction that could replace some fossil fuels
Chemists say they’ve found a way to turn breadcrumbs into hydrogen, potentially offering a sustainable alternative to one of the most common chemical manufacturing processes.
Poll: Ashley Moody leading all potential Democratic opponents in Senate race
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NFL Draft will feature free performances by Wiz Khalifa, Bret Michaels and Kane Brown
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A Preview of the Role Health Care May Play in the 2026 Election
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Exeter boss excited by midfielder Cummins' potential
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Wave of retirements and politics promise spending panel makeover
The House Appropriations Committee is set to undergo a major shake-up following the midterm elections, especially among its Republicans. With four members retiring, two running for Senate and four others in potentially tight reelection contests, nearly a third of the committee’s Republicans may not return in the next Congress. Democrats are looking at a lower […]
Hector Mujica enters CD 28 race, setting up potentially competitive challenge to Carlos Giménez
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Global Climate Panel Faces Strife, Potential Funding Crunch
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A messy governor's race in California raises Democratic fears of a potential loss
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How Rubio's and Vance's differing stances on Iran war point to challenges ahead of 2028 election
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Scientists Create Plant That Produces Ayahuasca, Shrooms, and Toad Psychedelics All At Once
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Collins does not want ‘boots on the ground’ in Iran
The senator also shrugged off polling data about her potential opponents in the election this fall.
Exclusive: Worries over science, new addicts stymie US nicotine pouch fast-track scheme
Popular nicotine pouch products have yet to be cleared for sale in the United States despite a fast-track Food and Drug Administration scheme, as agency scientists hesitate to authorise them due to potential risks to new users, including children, three sources told Reuters.
Poll shows Carlos Giménez’s lead narrowing in CD 28 amid economic, policy headwinds
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Trump’s threats of targeting water plants in Iran, a potential war crime, alarm Gulf allies
After President Donald Trump floated on Monday the possibility of expanding the Iran war by potentially striking water treatment plants in Iran, some Gulf countries reiterated grave concerns to the Trump administration about any strikes on civilian infrastructure and the risk of an intensifying tit-for-tat escalation, according to four regional sources.
A messy California governor's race raises Democratic fears of potential loss
Democrats have run California for years
Vance and Rubio's differing postures on Iran war highlight their challenges ahead of 2028 election
Secretary of State Marco Rubio and Vice President JD Vance are both seen as the Republican Party’s strongest potential candidates in the next presidential election, but the Iran war could prove to be a political millstone for them
SBI eyes Tokyo ‘Sphere’ arena in new entertainment push
The Tokyo-based financial group is considering the Odaiba waterfront district as a potential site for the project.
North Korean hackers bug software used by thousands of US companies in potential crypto heist attempt
Suspected North Korean hackers have bugged a software package that has been used by thousands of US companies in a major supply-chain attack that could take months to recover from, security experts said Tuesday.
Under Armour, Kontoor Brands, PENN Entertainment, Deckers, and Carnival Stocks Trade Up, What You Need To Know
A number of stocks jumped in the morning session after investors priced in a potential de-escalation of the conflict in Iran alongside reassuring commentary from the Federal Reserve on interest rates.
Cook County Department of Public Health warns of possible measles exposure at O'Hare, 2 stores in Niles
According to the CCDPH, measles is a dangerous and potentially deadly, highly contagious respiratory disease that spreads easily through the air when an infected person breathes, coughs, or sneezes.
Polaris, Callaway Golf Company, Compass, Sphere Entertainment, and Viking Shares Skyrocket, What You Need To Know
A number of stocks jumped in the morning session after investors priced in a potential de-escalation of the conflict in Iran alongside reassuring commentary from the Federal Reserve on interest rates.
Know the risks: Campus Health’s guide to responsible cannabis use
Not every college student uses cannabis, but for those who do, it’s important to know how to reduce potential risks. This April, learn about the resources available through Campus Health Services to help you reduce your risk and finish the semester strong. Cannabis use is not a replacement for self-care and good stress management practices. Using cannabis can lead to adverse mental health outcomes, like heightened anxiety, feelings of paranoia…
ThredUp, Genesco, VF Corp, Caesars Entertainment, and Sonos Shares Are Soaring, What You Need To Know
What Happened? A number of stocks jumped in the morning session as investors priced in a potential de-escalation of the conflict in Iran alongside reassuring...
Under Armour, Kontoor Brands, PENN Entertainment, Deckers, and Carnival Stocks Trade Up, What You Need To Know
What Happened? A number of stocks jumped in the morning session after investors priced in a potential de-escalation of the conflict in Iran alongside reassur...
Polaris, Callaway Golf Company, Compass, Sphere Entertainment, and Viking Shares Skyrocket, What You Need To Know
What Happened? A number of stocks jumped in the morning session after investors priced in a potential de-escalation of the conflict in Iran alongside reassur...
Fighting Hawks Sports Partnerships to Launch Uniform Branding RFI on March 31
GRAND FORKS, N.D. – Fighting Hawks Sports Partnerships (FHSP), the sponsorship arm for University of North Dakota Athletics and the Ralph Engelstad Arena, will distribute a Request for Information (RFI) beginning Tuesday, March 31, as it explores potential uniform and apparel branding partnerships across UND Athletics programs.
Two's company: ISTA scientists identify new class of star remnants
In the vastness of the Universe, any new object with interesting properties can spur the search for similar objects, potentially establishing a new class of stars. In a paper published in Astronomy & Astrophysics and an arXiv preprint, researchers from the Institute of Science and Technology Austria (ISTA) describe two stellar remnants that share five properties, including X-ray emission, despite being isolated objects. According to the team, these two remnants are sufficient to define a new class of stars.
Amazon and Delta partner to launch faster, cheaper in-flight Wi-Fi to flyers
Amazon and Delta Air Lines are partnering to bring high-speed satellite internet to Delta flights in 2028, with video calling as a potential future offering.
College Sports' New Legal Risks: Prediction Markets and NIL Fraud
A former prosecutor in a massive NCAA corruption case outlines college sports' potential legal issues with prediction markets and the NIL industry.
North Shore Health weighs EHR options, potential partnerships
North Shore Health is exploring options for a new electronic health record system while also considering adding another partnership to its existing network. The hospital currently uses MEDITECH for its electronic health record system. However, Epic Systems, based in Madison, Wisconsin, has become increasingly prevalent across Minnesota and the broader Midwest. “I think North Shore...
Scientists discover potentially huge freshwater reservoir hidden beneath Great Salt Lake
Researchers have found a layer of fresh water beneath Utah's Great Salt Lake that reaches up to 2.5 miles deep and could turn out to be as big, or bigger, than the lake.
Big Ten has stolen SEC mojo, and isn't about to give it back
The Big Ten has stolen the SEC mojo. Better teams, better players, better stories. Better present — and more potentially damning — better future.