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Sports Quote of the Day: Muhammad Ali's Confident Affirmation
Muhammad Ali had a timeless quote that helped explain why he was so successful.
How Oklahoma Landed America’s First Aluminum Smelter in Half a Century
Aluminum makers EGA and Century plan to break ground this year on a facility that would more than double U.S. smelting capacity.
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.
‘SNL’ spoofs Artemis II mission, Melania Trump
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
NFL Draft Scouting Report: Romello Height, EDGE, Texas Tech
Height is a true designated pass-rusher, which comes with positives and negatives.
Nintendo Prime: Nintendo is spreading fake information internally to patch leaks
Nintendo is an extremely secretive company but in recent weeks they’ve sprung some leaks and it isn’t the first time that it has happened. YouTuber Nintendo Prime says he has heard from his sources…
“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.
Your nose could detect Alzheimer’s years before symptoms begin
Losing your sense of smell might signal Alzheimer’s far earlier than expected. Scientists found that immune cells in the brain actively destroy smell-related nerve fibers after detecting abnormal signals on their surfaces. This damage begins in early stages of the disease, well before cognitive decline. The discovery could help identify at-risk patients sooner and improve treatment timing.
Delaware County election board member's voter status, candidacy revoked
Delaware County elections board voted 2-1 to cancel Melanie Leneghan's voter registration and candidacy for an Ohio GOP State Central Committee seat.
Melania Trump’s Epstein statement stunned White House aides but was in keeping with a first lady who does her own thing
With war raging and midterms on the horizon, the White House seemed to have finally shaken the Jeffrey Epstein saga that plagued the first year of Donald Trump’s second term. But for first lady Melania Trump, the Epstein story was still all consuming.
Santa Fe business owners, residents sound off south-side homeless shelter plans
The new shelter will be operated by Interfaith Community Shelter on a 1.1-acre plot of land near Santa Fe Place mall.
Teddi Mellencamp reveals she's dating an older man who’s been 'pretty good' amid her ongoing cancer battle
Teddi Mellencamp reveals she's dating an older man who has been 'pretty good' amid her ongoing cancer battle.
Homeland Security Workers Get Paid, but the Next Check Is Uncertain
The lack of clarity has frustrated employees as Congress battles over how to fund the department.
Entière Dermatology founder Dr. Melissa Levin dives into science of sunscreen
Entière Dermatology founder Dr. Melissa Levin dives into science of sunscreen
Democratic Rep. Raja Krishnamoorthi says Melania Trump’s Epstein statement was ‘very important’
Flourishing entrepreneur: How one student manages college life with business hustle
Balancing school and work is never easy, but one Brigham Young University student has taken their ambitions outside of the classroom and said her success smells an awful lot like flowers.
Microplastics in our bodies: What health experts are starting to see
Join leading medical experts, including cardiologists and public health researchers, for a timely conversation on the emerging science around microplastics and the human body.
‘He crushed it.’ Rummel senior’s home run against Jesuit creates 3-way tie for district lead.
Joel Morange didn’t have much reason to think his fly ball to left field would leave the park.
This superconductivity dies then comes back to life
A strange new kind of superconductivity has been uncovered in uranium ditelluride (UTe2), where electricity flows with zero resistance—but only under extremely strong magnetic fields that should normally destroy it. Even more surprising, the superconductivity disappears at first and then dramatically reappears at even higher fields, earning it the nickname the “Lazarus phase.”
Epstein survivors criticise Melania Trump after surprise statement
First lady had called for a public hearing for survivors but a group of those affected say they have ‘done their part’ and reiterate calls for Pam Bondi to be questioned
Melania Trump tried to sweep the Epstein saga away, but she ended up reviving it
The most plausible explanation for first lady Melania Trump’s out-of-the-blue address on the Jeffrey Epstein drama was that she was trying to make it go away.
'Death of a Salesman' review: The timely Broadway revival feels as urgent as ever
Nathan Lane, Laurie Metcalf, and Christopher Abbott lead a stellar cast in a Broadway revival of Arthur Miller's 'Death of a Salesman' that feels as timely and urgent as ever. Read EW's review.
A junior hit 2 home runs and went the distance in the Hahnville-Mount Carmel softball game
The Hahnville-Mount Carmel softball winner was led by a junior's two-way impact
Confusion after local business cited for litter after reporting the issue to 311
A business owner along Central says the city cited him for weeds and litter the very day after he reported trash from a homeless encampment next to his property.
Melissa Etheridge recalls moment 11-year-old son came out to her as straight: ‘Mom, I’m sorry’
The singer, who came out as gay in 1993, is the mother of four children.
Melania says her piece about Epstein – doth the lady protest too much?
The first lady unleashed a barrage of denials – and put one of her husband’s biggest political liabilities back on the agenda
‘She does things very strategically.’ Melania Trump’s former top aide reacts to the First Lady’s Epstein statement
Melania Trump says ‘lies’ linking her to Epstein ‘need to end’
WATCH: First lady Melania Trump denies any ties to Jeffrey Epstein and calls for survivors' testimony
St. Mary’s Law students pursue public health impact through new dual degrees
At a time when public health outcomes are increasingly shaped by law and policy, the St. Mary’s University School of Law is creating new opportunities for students and professionals to examine today’s most urgent public health challenges through an interdisciplinary lens.
Windows and Xbox are now prioritizing user feedback in a huge pivot ... but why now? I can't help but be suspicious — it smells a bit like panic.
Is Microsoft's big AI push falling off the rails? Possibly, but not for the reasons you might think.
2026 Peabody Awards Entertainment Nominations
Additional noteworthy TV shows up for the prestigious honor, designed to recognize impactful small-screen storytelling, include 'Adolescence,' 'Andor,' 'Death by Lightning,' 'Dying for Sex,' 'Forever,' 'Mussolini: Son of the Century,' 'Pluribus' and 'The Rehearsal.'
MOONBUG ENTERTAINMENT DEBUTS EMMIE'S WONDER WARDROBE, A SPARKLING NEW SPIN-OFF OF LITTLE ANGEL, TODAY ON YOUTUBE
Moonbug Entertainment, a global leader in children's entertainment like CoComelon and Blippi, today debuted Emmie's Wonder Wardrobe on YouTube. The animated preschool series is a spin-off of Little Angel, one of the most-watched preschool brands in the world, with over 150 million YouTube subscribers and 1.4 billion monthly views across 25 languages on YouTube. The new series is packed with original music and playful stories that celebrate the creativity and self-expression of kids today.
Rare, violent rift discovered in Ngogo chimpanzee group from 'Chimp Empire'
The largest group of wild chimpanzees known to scientists has permanently split in two — something that is extremely rare.Scientists with Arizona State University and The University of Texas at Austin are the first to clearly document the permanent divide and the intergroup violence that followed. The study draws on three decades of field observations of the Ngogo chimpanzees of Kibale National Park, Uganda, a population featured in the Netflix documentary series "Chimp Empire."
Italy’s Meloni Vows to Govern Until End of Five-Year Mandate
Italian Prime Minister Giorgia Meloni vowed to stay on until the end of her government’s mandate, seeking to stabilize her tenure after a bruising referendum loss last month.
Perfetti Van Melle announces Rebecca Dunphey as new president of Americas business unit
Erlanger-based Perfetti Van Melle has announced Rebecca Dunphey as the company’s new president of the Americas business unit. She assumed the role April 6. Dunphey succeeds Sylvia Buxton, who led the rapid growth of the North America business for more than seven years. Under Buxton’s leadership, the company became the third largest confectionery manufacturer in...
'Survivor 50' recap: Coach has a haiku-making meltdown
'Survivor 50' recap: Coach has a haiku-making meltdown as tensions rise before the biggest Tribal Council in franchise history.
After 39 years on air, Melinda Mayo turns the mic down to put health first
For 39 years Melinda Mayo has been a trusted voice in Arkansas, but recently that voice began to change.Melinda says, "Almost like when you're coming down with
Seattle Mariners vs. Athletics - Live Score
View the Seattle Mariners vs. Athletics game played on September 12, 2026. Box score, stats, play-by-play timeline, highlights, odds & more
Italy’s Giorgia Meloni attempts political reset after referendum defeat
Facing voter backlash and an energy-driven economic squeeze, the prime minister is recalibrating her ties with Washington
Jill Martin Tears Up Over 50th Birthday Surprise Live on ‘Today’
Al Roker, Craig Melvin, and Laura Jarrett celebrated Martin's milestone birthday on the third hour of 'Today.'
Sports Illustrated Swimsuit issue to feature WNBA stars Napheesa Collier, Sophie Cunningham
The 2026 Sports Illustrated Swimsuit Issue will feature WNBA stars Napheesa Collier, Sophie Cunningham, and USA Track and Field sprinter Melissa Jefferson-Wooden.
Secret 'Devil Wears Prada 2' celebrity cameo accidentally revealed on 'Today' show
'Today' show star Craig Melvin accidentally revealed Jenna Bush Hager's secret 'Devil Wears Prada 2' cameo on air: 'My bad,' he said.
Apple very cautious about iPhone Ultra sales; Samsung wins concession
A new report suggests Apple is being extremely cautious in its expectations of demand for its most expensive ever smartphone,...
Jimmy Kimmel Gives His Verdict on Trump’s Iran Ceasefire Agreement
'It was D-Day, in this case, the 'D' stands for dementia.'
Jimmy Kimmel Gives His Verdict on Trump’s Iran Ceasefire Agreement
'It was D-Day, in this case, the 'D' stands for dementia.'
Business Formation Statistics Monthly Data Release
Explore timely and high frequency information on new business applications and formations.
Executive Summary: A Patients’ Bill of Rights To Lower Health Care Costs
CAP’s plan would limit unjustified premium increases; reduce deductibles by reining in outlier hospital prices; and replace prior authorization with independent, evidence-based clinical review to lower health care costs and increase access to timely care.
Mullin pledges progress on disaster relief during his first official trip
Homeland Security Secretary Markwayne Mullin toured North Carolina areas devastated by Hurricane Helene in 2024.
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.
Nickelodeon Extreme Tennis Next announced for Nintendo Switch
Today, Gameloft unveiled Nickelodeon Extreme Tennis Next for Nintendo Switch. The game is launching on May 28, 2026. Nickelodeon Extreme Tennis is a fast-paced arcade tennis game featuring popular characters from SpongeBob, Avatar, Teenage Mutant Ninja Turtles, and more. Expect character customization, a story mode, split-screen multiplayer, and more. Here’s an official overview: Become your favorite Nickelodeon character, like SpongeBob...
Melanie Lynskey Returning to ‘Matlock’ — See Her With Husband Jason Ritter
Find out when the episode airs.
Spencer Pratt runs as ‘angry taxpayer’ in LA mayor race: ‘I am not a politician’
Los Angeles mayoral candidate and former TV star Spencer Pratt joins ‘Mornings with Maria’ to sound off on crime, homelessness and voter frustration, while outlining his bid to unseat Mayor Karen Bass.
Why You Should Stop and Smell a Flower For Just 30 Seconds
The scents around you can slow your heart rate, shift your mood, and trigger vivid memories—often in seconds.
Immunic COO highlights the importance of science-led innovation to mark World Health Day
Immunic Inc (NASDAQ:IMUX, FRA:10VA) chief operating officer Jason Tardio talked with Proactive's Stephen Gunnion about the importance of science-led innovation in tackling neurological diseases, particularly multiple sclerosis, on World Health Day 2026. Tardio highlighted that the biotech industry is fundamentally grounded in scientific research and data, noting that “everything we do is rooted in science.” He explained that Immunic is focused on developing innovative therapies designed to improve patient outcomes and address significant unmet medical needs. The discussion centred on multiple sclerosis (MS), a complex neurological disease that continues to present challenges despite decades of progress. Tardio pointed out that while advancements have been made, “the disease is not solved for,” with many patients still experiencing disability progression and requiring safer, more tolerable treatments. He emphasised the urgent need for innovation, particularly in progressive forms of MS where treatment options remain extremely limited. Immunic’s lead asset, vidofludimus calcium, is being developed as a novel approach aimed at addressing the full spectrum of the disease. Tardio also reinforced the broader mission of the healthcare and biotech sectors, stating that the ultimate goal is to help individuals “live a better quality of life” and “a healthier life longer.” Watch the full interview to learn more about Immunic’s approach to advancing MS treatment through science. For more videos like this, visit Proactive's YouTube channel, like this video, subscribe to the channel, and enable notifications so you never miss an update. #Immunic #MultipleSclerosis #BiotechInnovation #Healthcare #MSResearch #DrugDevelopment #ClinicalTrials #Neurology #WorldHealthDay #ScienceDriven #VidofludimusCalcium #PharmaNews #BiotechNews
Scientists just uncovered the secret behind nature’s “proton highway”
Scientists have zoomed in on how phosphoric acid moves electrical charges so efficiently in both biology and technology. By freezing a key molecular pair to extremely low temperatures, they found it forms just one stable structure—contrary to predictions. This structure relies on a specific hydrogen-bond network that may be universal in similar systems. The discovery helps explain how protons travel so quickly and could inspire better energy materials.
Updated Iowa women's basketball scholarship allocations
After the transfer portal entrances of Teagan Mallegni and Emely Rodriguez, what does Iowa women's basketball's scholarship allocation look like?
Melissa Gilbert says her, Timothy Busfield are ‘grieving’
Melissa Gilbert has spoken out about the allegations of sexual assault of a minor.against her husband Timothy Busfield.
2026 NFL draft: Arizona Cardinals, Garrett Nussmeier matched
SI.com's Justin Melo matched a developmental prospect with every NFL team. The Cardinals' match is a QB.
Foldable iPhone hits engineering snags, shipment delays possible: sources
April-May 'extremely critical' period for Apple to resolve issues in time
Pommel Horse Guy Didn’t Break Up Over Politics
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Melissa Gilbert says child abuse allegations ruined her life with Timothy Busfield: 'He's canceled'
Melissa Gilbert defended husband Timothy Busfield against child abuse allegations in her first TV interview on 'Good Morning America,' saying the 'traumatic' experience ruined their future: 'It's done. He's canceled.'
Melissa Blotter: Advancing the Science of Seizure Intervention
Melissa Blotter is pioneering a bold new approach to treating life-threatening seizures by using ketone bodies to stop them in real time.
‘GMA’: Melissa Gilbert Fiercely Defends Timothy Busfield Through Tears
Busfield awaits trial on charges of sexual abuse against minors.
‘GMA’: Melissa Gilbert Fiercely Defends Timothy Busfield Through Tears
Busfield awaits trial on charges of sexual abuse against minors.
‘GMA’: Melissa Gilbert Fiercely Defends Timothy Busfield Through Tears
Busfield awaits trial on charges of sexual abuse against minors.
3 injured Arsenal stars return to training ahead of Sporting
Arsenal have received a timely boost ahead of the trip to Sporting, with three senior players back in training.Photo by James Fearn/Getty ImagesOne of the main talking points over the international br...
ACC basketball uniform rankings
From Duke’s timeless dominance to modern misses across the conference, we rank all 18 ACC basketball uniforms.
Melco Resorts officer uses 32,619 shares for taxes
Melco Resorts & Entertainment officer Akiko Takahashi delivers 32,619 ordinary shares at $1.89 each for tax withholding, retaining over 2.07M direct shares plus 210,675 held via a 2022 GRAT.
Meet the MAGA Intellectual on Hungary’s Payroll
A political theorist who once prophesized a Queen Melania is Viktor Orbán’s envoy to the court of Trump.
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.
Column | Do men or women have worse farts? Science has the answer.
Yes, scientists have studied whether men or women have worse farts, what makes them smell and why air travel tends to make people gassy.
Why the controversy with mail-in ballots?
Most Coloradans enjoy the right to vote “by mail” at election time. Most Americans favor this process. But U.S. President Donald Trump is trying to federalize (nationalize) this practice and shift the supervision of voting from county clerks to the Department of Homeland Security and the U.S. Postal Service. He issued an executive order to […]
Citigroup pushes back Fed rate cut timeline after strong job numbers
Citigroup has pushed back its Fed rate-cut timeline, citing unexpectedly strong U.S. job gains and persistent inflation risks.
Return to Sport Rates Following Total Knee Arthroplasty
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Miami Marlins vs. Athletics - Live Score
View the Miami Marlins vs. Athletics game played on July 04, 2026. Box score, stats, play-by-play timeline, highlights, odds & more
UF Dance Marathon raises over $1.1 million for UF Health Shands Children’s Hospital
Behind the lights and energy of the University of Florida’s Dance Marathon, stories like that of Amelia Early and her daughter, Dani-Lynn, took center stage.
White House Melts Down for Second Day Over Trump Health Claims
The White House snapped after a post pointed out Trump’s days-long absence from public view.
What did Pompeii smell like before it burned?
Ash from Roman incense burners indicate families burned tree resins from thousands of miles away.
How Investors May Respond To Melco Resorts & Entertainment (MLCO) Liquidity Jitters Amid Premium Macau Push
In recent weeks, Melco Resorts & Entertainment reported mixed fourth-quarter 2025 results, while major banks including BofA Securities, UBS, and Morgan Stanley updated their research views on the company amid concerns over liquidity, margins, and Macau market conditions. At the same time, Melco underscored its premium positioning by highlighting eight MICHELIN Stars across five Macau restaurants, reinforcing how high-end non-gaming offerings are becoming a central part of its hospitality and...
How to measure bad smells: the citizen science that is challenging the stench of rotten eggs and cabbage soup
The growing public awareness of odor pollution in countries like Spain clashes with the lack of regulation
Miami Marlins vs. Athletics - Live Score
View the Miami Marlins vs. Athletics game played on July 03, 2026. Box score, stats, play-by-play timeline, highlights, odds & more
The FT’s AI optimism rests on shaky science
Last weekend, the Financial Times published an article about the broader social impacts of AI. Studying, managing, and mitigating the negative impacts of the technological transition is supremely important, and doing so requires both the electorate and policymakers to be informed by good, impartial science. Unfortunately, for anyone with even basic training in social science [...]Read More...
Geno Auriemma's latest meltdown involving South Carolina's Dawn Staley comes with a warning sign for his legacy
Dear Abby | Brother's beliefs are incompatible with sister's reality
Dear Abby: My son is getting married next year. He and his future wife are extremely religious. My daughter (his sister) is also engaged -- to a wonderful woman. Because
Album Review: 6WA by BigXthaPlug & 600 Entertainment
BigXthaPlug spent eight months in Nashville making a country-rap album that debuted at No. 7 on the Billboard 200, put “All the Way” with Bailey Zimmerman at No. 4 on the Hot 100, got him a Rolling Stone cover, and filled arenas with Jelly Roll. And then he came back to Dallas, rounded up four of his signees, and made a gangsta-rap record with N.W.A’s Straight Outta Compton on the cover. 6WA is the second group release from 600 Entertainment, named after the 600 block of Meadowridge Street in Ferris, Texas, where BigX and his people grew up. The whole thing is loaded with West Coast samples. From N.W.A.’s “8Ball,” Eazy-E’s “Real Muthaphuckkin G’s” and “Boyz-N-The-Hood,” Ice-T’s “6 in the Mornin’,” Snoop Dogg’s “Nuthin’ but a ‘G’ Thang” and more. BigX is staking his name on the lineup he built—Rosama, MurdaGang PB, Yung Hood, KevanGotBandz, KaineMusic—and claiming a lineage from 1,400 miles away while insisting Dallas is its own thing. A million dollars in cash, split and handed straight to his mother. That’s the first place BigX goes on “From the Bottom.” He’d probably still be in the streets if he didn’t have his son and daughter. He only started rapping to make life better for Carter. Couldn’t start his car back then, now people get starstruck at Starbucks, and he throws the whole field away in one sentence: “How you think we competin’? You on the same bag, I just made me some millions off country.” Goyard bags off a Nashville payday, and he wants you to know exactly how far he’s come from everybody else. “Safe to Say” does something similar but looser. It’s a straight Ice Cube “It Was a Good Day” flip, and BigX nails it. Wakes up, checks both phones, nobody’s locked up, kid accounts look good. Gets pulled over, only catches a warning. Pulls up on the squad to liquor, ladies, and haze. Rosama takes the second verse and matches him. Wakes up to his girl cleaning his cuticles, twins playing peekaboo, pays off his car, calls a cousin, sees the opps and they don’t trip. Lawyer calls, he beat his case. Rosama is the strongest voice in the 600 camp after BigX, and “Life of a Gangster” is why. Third person, riding low, blacked-out windows, snub-nose revolver. A character who chose sticking people up over selling dope. “Quick eraser like a number-two pencil.” He never breaks character, and his delivery drops lower and slower than anything he does on the group cuts, like he’s telling you something at a cookout that he probably shouldn’t. Then on “Long Live Fre$h” he’s a completely different rapper. “Short-bus diamonds, these bitches retarded,” wide-body Durango he can’t even park. That kind of range matters on a group record. MurdaGang PB’s best verse is on the title track. Feds at his door at 6 AM, cameras busted, flushing dope, ram truck putting everybody on the floor. Yung Hood on “The Hottest” just lays out four reasons to keep hustling. Who wants to be broke, women cost money, you need bail, and home has to be straight. It’s funnier and more honest than most rappers get when they’re trying to explain why they sell drugs. KevanGotBandz on “Ain’t Never Slowin’ Down” talks about his father getting caught on the dope while he’s sitting on $300K somewhere in the hills, which is a specific kind of guilt that doesn’t usually make it onto crew tapes. KaineMusic, the newest signee, takes the back half of “Who Dunnit” and introduces herself in third person—“Took flight just to show these hoes how to perform”—but it’s too short to know if she can hold a full song. The flex tracks fill the middle of the LP and mostly run together. “I Go” is Rosama and PB trading brands, guns, and food punchlines. Rosama’s “anemic, my iron tucked low in this shirt” is a slick gun bar, PB fires back with “.223 with a clip ‘bout as big as a toddler” and “I go Burger King, stay with that whopper.” Quick, funny sometimes, but it’s all shopping lists. “Dopeman” is a chant. “6ixer Party” brings Snoop Dogg, who does exactly what you’d expect Snoop Dogg to do. BigX contributes the night’s wildest overshare: “She say she brought a friend too, well, I’m tryna put sausage on her dental.” These songs move fast and don’t overstay, but three or four of them could trade verses and nobody would catch it. Midway through, The D.O.C. shows up for a spoken-word interlude. Tracy Curry. West Dallas native, former N.W.A affiliate, co-writer on a lot of the records getting sampled on this very album. He thanks BigX for the tribute and then gets direct: “This your time, this DFW time. You need to do it like we do it down here.” Leave bread crumbs so everybody behind you can eat. Keep God in your life. It’s fatherly and generous, and it does raise the question of whether 6WA follows that advice. The album borrows heavy. The cover art, the Eazy-E samples, “Amerikkka’s Most Wanted” opening with a direct “Boyz-N-The-Hood” lift, Yung Hood rapping “Flag on my left side, Crip until I die.” But the stuff that actually stays with you is Dallas. BigX talking about Pleasant Grove, Rosama calling himself a country boy, PB recounting a raid that could’ve been last Tuesday. The record smells most like itself when it smells like Ferris, Texas, and least like Compton. BigX on “The Hottest” says his father was the first person he knew who had chickens. Not the way rappers usually wave at the drug trade. He means his actual father, his actual family. On “600 Degrees,” Rosama compares his chopper’s stutter to a speech disorder, PB claims he still has the block on his back even after leaving the city. BigX closes that one saying he used to spin and smack, and now the plaques are platinum. Thirty-two minutes was right for this. Nobody overstays, Tony Coles and Rance and Charley Cooks keep the production punchy, and BigX gives his signees real room instead of crowding every song. 6WA doesn’t reinvent anything. Five rappers, good beats, short clock. Most of what they say you’ve heard before. Some of it—the million to his mother, the cuticles and peekaboo, the four reasons to hustle—you won’t forget. Solid (★★★½☆) Favorite Track(s): “Safe to Say,” “From the Bottom,” “The Hottest” Subscribe
A massive arctic thaw is unleashing carbon frozen for thousands of years
A sweeping new study reveals that as Arctic permafrost thaws, it is dramatically reshaping rivers and releasing vast amounts of ancient carbon that had been locked away for thousands of years. By analyzing decades of high-resolution data across northern Alaska, scientists found that runoff is increasing, rivers are carrying more dissolved carbon, and the thawing season is stretching further into the fall. This carbon eventually reaches the ocean, where some of it turns into carbon dioxide, intensifying global warming.
How bad smells affect your health
That foul odour wafting your way can do more than make you gag – it could also affect your body and mind.
A Look At Melco Resorts & Entertainment (MLCO) Valuation After Recent Analyst Downgrades And Earnings Miss
Recent shifts in analyst sentiment toward Melco Resorts & Entertainment (MLCO) have put the stock in focus, after several major banks flagged slower expected Macau EBITDA growth, liquidity questions, margin pressure, and mixed quarterly results. See our latest analysis for Melco Resorts & Entertainment. At a share price of US$5.68, Melco Resorts & Entertainment has seen a 1 day share price return of a 1.56% decline and a 90 day share price return of a 24.37% decline. The 1 year total...
Legacy, Regence Health split over rates; Oregon families scramble for healthcare
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Georgia lawmakers pass bill that lets property owners sue over homeless encampments
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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:
CIM Group and Partners in Miami Worldcenter Sell Development’s Retail and Entertainment District to Falcone Group, ROK Acquisitions, Andrew Mirmelli, The Davis Companies and Jamestown
CIM Group and its partners in Miami Worldcenter have sold retail and entertainment district component of the 27-acre development in downtown Miami.
Trapanovski question mark as injury ends 'difficult campaign'
Dundee United manager Jim Goodwin has lamented the loss of "one of the best wingers in the league" for the rest of the season, leaving a question mark over the North Macedonia international's future at Tannadice. Goodwin confirmed Kristijan Trapanovski "underwent some surgery" on Wednesday on a knee injury the 26-year-old sustained in last month's Scottish Cup defeat away to Falkirk. Trapanovski, who has two caps for his country, is out of contract this summer having signed a two-year deal when arriving from Shkupi in his homeland in 2024.