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AMD Linux Graphics Driver Introducing "Power Module" To Better Match Windows Behavior
With the set of today's AMDGPU kernel graphics driver Display Core (DC) patches is a rather curious addition with wiring up the Linux code to a 'power module' that looks like it will better match Microsoft Windows behavior with the AMD Radeon driver around display-related power savings features.
On this Jackie Robinson Day, reject this lie Major League Baseball tells about itself
Kevin B. Blackistone: Sports are not a driver of social change
Ocean eddies are amplifying climate extremes in coastal seas, study finds
New research reveals a powerful yet overlooked driver of climate change: Intensifying ocean eddies.
Sergio Garcia apologizes for slamming club, breaking driver in Masters meltdown: 'I regret the way I acted'
Trump speaks DoorDash driver after delivery, invites to UFC fight
Walmsley secures 'last-minute' drive for 2026 season
Racing driver Lydia Walmsley says it is a "miracle" that she will be on the grid this year after an 11th hour deal with a new team.
Internal OpenAI memo touts Amazon partnership as key driver of enterprise business
CNBC's Kate Rooney reports on an internal OpenAI memo that touts its Amazon partnership as a key driver of its enterprise business.
Tractor-trailer careens into building in Clifton, NJ
The big rig driver careened into Limo Ride, a business along Kensington Avenue and Route 3, just before 2:30 a.m.
Masters 2026: Sergio Garcia gets warning after going nuclear on tee box, breaking driver and ending up carrying Jon Rahm's bag
Sergio Garcia was given a warning just two holes after he erupted on Sunday morning.
Taco Bell's Golden Bell awards are key to its company growth
Taco Bell's annual management retreat is more than recognition for its top-performing staff — it's a key driver of growth and staff retention.
110,000-year-old discovery rewrites human history: Neanderthals and Homo sapiens worked together
The first-ever published research on Tinshemet Cave reveals that Neanderthals and Homo sapiens in the mid-Middle Paleolithic Levant not only coexisted but actively interacted, sharing technology, lifestyles, and burial customs. These interactions fostered cultural exchange, social complexity, and behavioral innovations, such as formal burial practices and the symbolic use of ochre for decoration. The findings suggest that human connections, rather than isolation, were key drivers of technological and cultural advancements, highlighting the Levant as a crucial crossroads in early human history.
“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.
Sisters teen keeping drivers awake with caffeine lollipop business
A Sisters teen teamed up with a Portland businessman to run a caffeine lollipop business, with the goal of ensuring people don’t fall asleep at the wheel. Kale Gardner, the […]
Masters 2026: Brooks Koepka's driver was set to the wrong setting
Koepka noticed the error after his round on Thursday at Augusta National.
MDOT plans $1.5M repair project on I-94 Business Loop in Marysville
Drivers in Marysville can expect lane shifts and closures as MDOT begins a $1.5M repair project on the I-94 Business Loop starting April 20.
Nevada Health Centers’ Mammovan expands rural mammograms, seeks licensed drivers
For women across Nevada, getting an annual mammogram can be quicker and more convenient thanks to a mobile clinic designed to bring breast cancer screenings dir
3L Rachel Sadler Charts Path in Brain Health, Technology, and Policy Through UC Law SF’s Health Law Concentration - UC Law San Francisco (Formerly UC Hastings)
3L Rachel Sadler studies health law and policy at UC Law SF while researching the legal implications of neurotechnology and other emerging tools that may affect human cognition. 3L student Rachel Sadler shares how UC Law SF’s Health Law Concentration prepared her for a career focused on the intersection of brain health, government policy, and technology. Gained a detailed understanding of how U.S. health care is regulated and where policy reform is needed through coursework and research. Interned with state and federal agencies that regulate health care services and worked with a major health care provider’s bioethics department. Plans to pursue a career focused on protecting cognitive liberty and mental privacy as new technologies reshape healthcare. 3L Rachel Sadler: The Health Law Concentration has given me fluency in one of the most complex regulated industries and the tools to become an effective advocate for better health policy. Before coming to law school, I spent a decade teaching and working with teachers and administrators on high school programming for multilingual learners. Healthcare kept emerging as the most powerful driver of student outcomes. I wanted to understand how to make effective policy change in this area and how to use existing law to defend people’s health rights in California. Through the concentration’s coursework, I gained a sophisticated understanding of how U.S. healthcare is regulated. I also learned where the pressure points for reform exist. The courses gave me space to develop what became my central research interest: how law and policy can be built to protect human cognition and healthy brain development, particularly regarding new technologies such as generative AI and neurotechnology. The health law faculty were instrumental in that process, genuinely invested in helping me and other students define and pursue our own intellectual vision. During law school, I interned at the General Counsel’s Office for Region IX of the U.S. Department of Health and Human Services. I also externed at the California Department of Justice’s Health, Education and Welfare Division. Additionally, I externed at Kaiser Permanente Northern California’s Bioethics Department. Alongside those placements, I conducted extensive independent research on mental privacy and emerging neurotechnology, working closely with Professors Emily Murphy and George Horvath. That research became the throughline of my law school experience and the foundation of my current policy focus. I must also credit Nicole Ozer of the Center for Constitutional Democracy (CCD), whose deep knowledge of California privacy law and the public-interest privacy landscape deeply informed my work. I currently serve a research assistant with the CCD, where I spearhead the development of K-12 educational resources in partnership with law faculty and students. I’ve found UC Law SF to be an ideal place for second-career, nontraditional students. There is a tremendous diversity of life and career experience here, and I felt fully welcomed into the community, despite returning as a student at a different stage of life. I came to law school wanting to promote equity in California’s healthcare system. I am leaving with a sharper and more specific ambition: to build a policy career focused on protecting cognitive liberty and mental privacy from technological intrusion. This is both an urgent and underserved area of law, and I want to be part of defining this landscape going forward. Whether as a practicing attorney or a policy advisor, I plan to work on these issues after law school. I strongly recommend UC Law SF and the Health Law Concentration. When I arrived in law school, I worried the concentration would be narrow and that my non-clinical background would be a disadvantage. The opposite was true. The health law faculty thinks about health expansively, encompassing social determinants of health, structural inequity, and emerging technologies alongside the regulatory mechanics of the industry. The faculty are accessible, intellectually generous, and genuinely invested in students’ development. I found my research vision here, and I deeply appreciate the concentration’s role in this. The Evidence of Success series highlights UC Law SF students as they share how the College’s opportunities equip them with the experience, skills, and confidence to excel in the legal profession.
Spotify Introduces New Video Controls for Listeners
Spotify has always been about putting listeners in the driver’s seat. Today, people don’t just want more ways to spend their time; they want that time to be well spent. That’s why, from Taste Profile to Prompted Playlist, and the expansion of managed accounts to Smart Filters, we’re giving users more control over their listening...
Policy mitigation, human drivers and health risks of antibiotics in global aquatic environments
Communications Earth & Environment - Antibiotic contamination in global aquatic environment exhibits significant regional disparities with low-and-middle income countries experiencing higher...
Vaughn Gittin Jr. Accuses Car And Driver Of Using AI After A Negative Review Of His 800 HP Mustang That’s Slower Than A Mustang GT
After disappointing test figures from an RTR Spec 3 Mustang, Vaughn Gittin Jr. seems to be accusing a writer of using AI.
Blue Envelope Program Launches in Luzerne County
All Luzerne County police departments will participate in the initiative aimed to improve communication between police officers and drivers with special needs
Why Microsoft’s war on Windows’ Control Panel is taking so long
It’s all to do with pesky printer and network drivers.
Microsoft explains why it still can’t fully kill Control Panel in Windows 11
Microsoft is phasing out the Control Panel in Windows 11 in favor of the Settings app, but the transition is careful due to old drivers.
Affordability and Preventive Public Health Policy
Affordability pressures increasingly shape health risk in the United States, influencing both the upstream conditions that sustain health and the downstream ability to access health promoting resources. Financial stability is a key driver of health, affecting patterns of health, health care use, and the tradeoffs people must make among competing needs. The economic policy landscape aimed at improving financial security for Americans is expansive, complex, and often difficult to organize, making it challenging to discuss how different policies influence financial resilience and population health. We propose the Earn–Keep–Grow framework as a practical way to organize and guide discussion of these policies in population health research and policy decision-making.
Power outage disrupts businesses and shoppers on Wards Road
A large power outage on Wards Road affected both drivers and shoppers on Monday.
Man dies from being struck in parking lot of East Hampton business
A man died from being struck by a driver at a business in East Hampton on Friday, police said.
Eileen Higgins, Juan Fernandez-Barquin to launch program helping Miami-Dade residents restore driver's licenses
The initiative aims to help those with suspended licenses get back on the road.
Tori Spelling and 4 of her kids hospitalized after car hit by driver who was allegedly speeding
Tori Spelling and four of her kids were hospitalized after her car was hit by a driver who was allegedly speeding and ran a red light.
Linux Sees Fixes For Its GD-ROM Driver In 2026 For Sega Dreamcast
Seeing new Linux patches for benefiting Sega Dreamcast devices wasn't on my bingo card for 2026
AMD or Nvidia eGPUs can work on Apple Silicon Macs, but not for graphic acceleration
Apple has signed a driver for AMD or Nvidia eGPUs connected to Apple Silicon but there are some big caveats, and it won't improve your graphics. Here's what they're for.
Rising energy costs squeeze Rochester-area businesses, forcing tough decisions
Owners point to a combination of rising expenses, including utilities, insurance, taxes and the cost of goods as key drivers behind the financial pressure.
Houston East End underpass floods again, drivers stranded and businesses impacted
A flood-prone underpass in Houston’s East End is once again causing problems for drivers and businesses, with neighbors saying even light rain can make the road impassable.
Blazers, Thorns, Business Chamber and Performance Groups Urge Council to Kill Ride-Hailing Proposal
The policy, intended to bolster ride-share driver wages, would cap how much a ride-share company could take for each ride.
Tribal gas stations see surge in business as fuel prices hover significantly below WA state average
Tribal gas stations in Washington are experiencing a significant surge in business as drivers seek lower prices amid rising fuel costs.
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/.
F1 driver ratings: Find out where Sky Sports ranks Lewis Hamilton and Max Verstappen after opening stages of 2026 season
How to avoid getting faked out by counterfeitcar parts
Any part of a vehicle can be counterfeited, possibly proving dangerous to drivers and occupants.
2026 Perspectives in Private Equity: Sports
Professional sports continue to emerge as an attractive asset class for private equity investors, as evolving ownership dynamics, attractive fundamentals and underlying growth drivers create opportunities. Sports investments offer sponsors an opportunity to diversify portfolios, reduce risk and deliver uncorrelated returns, while tapping into an industry experiencing strong growth driven by continued demand for content, league expansion and the adoption of new revenue models. Sports teams and leagues can also represent unique trophy assets for investors, often delivering intangible value beyond financial returns.
Oliver Bearman’s ‘scary’ crash punctuates concerns over new F1 regulations
Haas driver Oliver Bearman’s ‘scary’ crash at the Japanese Grand Prix has F1 drivers calling for change
Why The Porsche 930 Is Known As The Widowmaker
The Porsche 930 is known as the Widowmaker because drivers couldn't handle it when it first released, causing crashes and fatalities.
Fuel price surge hits Colorado small businesses hard
Rising oil and gas prices are driving up costs for many small Colorado businesses, not just for drivers at the pump.
Bearman Escapes Major Injury After 50-g Crash
Haas F1 driver walks away from high-speed impact at Japan GP as closing-speed concerns resurface under new rules.
These U.S. States Plan to Offer iPhone's Driver's License Feature
In select U.S. states, residents can add their driver's license or state ID to the Apple Wallet app on the iPhone and Apple Watch, and then use it to display proof of identity or age at select airports and businesses, and in select apps. The feature is currently available in 13 U.S. states and Puerto Rico, and it is expected to launch in at least seven more in the future. To set up the feature, open the Wallet app and tap on the plus sign in the top-right corner.
New Google tool allow users to scrub more personal data to keep safe from online thieves
Google is rolling out a new feature called "Results about you" to help users scrub more sensitive information such as social security and driver's license numbers from internet search results, on top...
Lewis Hamilton fears Ferrari regression in F1 pecking order
The Ferrari driver reckons McLaren is a huge threat to the Italian outfit and believes Mercedes is too far ahead at the front
Mom, 36, Had Health Symptoms Dismissed for Years. Then, She Was Diagnosed with One of the World’s Rarest Cancers (Exclusive)
A woman was diagnosed with one of the world’s rarest cancers, neuroendocrine cancer, after her health issues were dismissed over the years by multiple different types of doctors. Ashleigh Smith, a mom of two, worked a second job as a food delivery driver to help raise funds amid rising costs tied to her cancer treatments, she tells PEOPLE exclusively.
New Ford Mustang EcoBoost TLD Signature Edition Has Amazing Retro Graphics, And Only 550 Will Be Made
The graphics were created by Troy Lee Designs, who has been painting helmets for race car drivers for decades.
Driver crashes into Garner business
The Renew Day Spa is temporarily closed after a vehicle crashed into the business on Aversboro Road on Tuesday.
Apache Junction dog groomer’s mobile business destroyed in hit-and-run crash
Surveillance video shows a pickup truck crashing into Purple Pup Salon early Sunday morning, pushing the trailer back and causing extensive damage before the driver took off.
Rochester Road construction has business owners livid, drivers frustrated
Paranovus Entertainment Technology (PAVS) surges 125.9% as low-float dynamics amplify trading volatility
Paranovus Entertainment Technology Ltd. (PAVS) is up 125.9% today. Here is some analysis on what might have caused this price movement.Analysis: The most likely driver looks technical rather than fundamental: PAVS has been prone to sharp, liquidity-driven swings after its recent reverse split reduced share count and tightened the tradable float. This could also be because traders are positioning around potential changes in the company’s at-the-ma
Ford recalls more than 254,000 SUVs due to software issues
Ford is recalling more than 254,000 SUVs in the U.S. after a software defect was found to impact rearview cameras and key driver-assistance safety systems.
What's that new business coming to Lee Trevino Drive in East El Paso?
There's a new business going up on Lee Trevino Drive in East El Paso that will give drivers new options for keeping their cars clean.
No fuel shortage in Britain, says minister, as Reeves prepares to set out economic response to Iran war
Energy minister Michael Shanks reassures drivers ahead of chancellor’s statement to MPs
Support pours in for 76-year-old DoorDash driver forced out of retirement over health care costs
The Vietnam veteran delivers food every night of the week, except Wednesday when he attends church.
Mr. Tire employee arrested for twice setting fires at the business: Solon Police Blotter
Also in this week's blotter, the driver of a Jeep SUV would not stop for Solon police, who were attempting to cite him for an expired license plate.
Ecological and demographic drivers of Oropouche virus transmission
Nature Health - Nationwide analysis of 30,086 confirmed Oropouche virus cases in Brazil between 2014 and 2025 shows that rural municipalities had over 11-fold-higher incidence than urban areas and...
Bachelorette suitor from canceled season drove car in Madison Cawthorn crash
A 'Bachelorette' suitor from Taylor Frankie Paul's now-scrapped season was the driver in the 2014 car crash that paralyzed former Republican congressman Madison Cawthorn.
2nd Car Show Scheduled at Sangertown Square
Racing fans and families can check out high-performance cars and meet local drivers at the Mall Car Show at Sangertown Square.
Your Thymus and Your Healthspan
Our thymus gland plays a central role in the development or our immune system, specifically for supporting T cell development (how these cells got their name, maturation and differentiation in the thymus) and discriminating between self and foreign, non-self antigen proteins with production of dendritic cells. As we age, our thymus gland shrinks—the process known as involution—with progressive change from spongy to fatty tissue, with loss of functionality. But this process, with respect to timeline and extent, markedly varies from one person to the next. And to make things even more complicated, our thymus gland anatomy and precise location in the chest also is highly variable. So the famous Frank Netter diagrams from the 1960s (such as at left below) don’t capture the remarkable heterogeneity that a random set of 12 chest CT scans (below at right). What I consider as 2 landmark papers in Nature this week (here and here) used AI to quantify health of the thymus in 2 large cohorts, and then correlate the metric to a broad array of health outcomes. In this edition of Ground Truths, I’m going to cover three questions: (1) How was thymus health determined by AI?; (2) How is thymus health linked to key clinical outcomes? and (3) Are there ways we can promote a healthy (aka rejuvenate) thymus gland in our later years? Subscribe 1. How was thymus health determined by AI? This was accomplished by extensive work developing and validating an AI pipeline for 2 stages, the first for localization and segmentation of the thymus bed, and the second to quantify a digital marker, termed the thymic health score. There’s a lot to this algorithmic development, so I won’t go into all the details, but just provide a rudimentary outline of what was done. The 1st stage used supervised learning with 2 radiologists reviewing 2,461 chest CT scans. That work trained a 3D U-Net model to automatically identify the thymic bed’s 3D cropped region using center of mass coordinates, which reached 99.8% accuracy. The 2nd stage used a foundation model that was pre-trained with SwAV (which stands for Swapping Assignment between multiple Views), a self-supervised model, that generated a high-dimensional thymus representation of 4,096 features. That compares to the radiology reductionist and subjective scoring of 0 to 3 where 0 means the thymus is fully degenerated and fatty, and 3 is considered dense, intact glandular soft tissue. Notably, the self-supervised learning (SSL) performance was superior to supervised (AUC ~0.75 vs 0.55, respectively) reflecting the shallowness of the 0-3 classifier vs SSL’s holistic, self-taught AI. The thymic health score ranged from 0 to 100, with the highest number indexed to fully preserved thymic health. The algorithmic work extended to explainability with both Shapely value distribution, meaning the model was holistic not relying on any “magic” pixel, and occlusion sensitivity, demonstrating the model’s performance was not affected by ribs, sternum, lung tissue, but rather focused on the thymic bed directly. Below are a few saliency maps from the occlusion sensitivity that indicate the thymic bed focus, not affected by neighboring structures, using the jet color scale. Now the AI was ready for processing ~25,000 CT scans, each over 30 MB files, from the 2 large participant cohorts to provide a thymic health score, it did so in less than 14 hours, which is less than 2 seconds per scan! Share 2. How is thymus health linked to key clinical outcomes? The two cohorts were the National Lung Screening Trial, NLST (N=25,031) and the Framingham Heart Study, FHS (N=2,581) each with baseline demographics and long term follow up of >12 years for health outcomes. From the NSLT, you can see below that increased age and body-mass index were correlated to reduced thymic health. And, overall, men had reduced thymic health scores compared with women. There are a lot of graphs in the paper for outcomes, for both the NLST and FHS cohorts. To simplify the major outcomes, below is a composite Figure with striking reduction of all-cause mortality and for the different causes of death. The results were consistent between the 2 cohorts. For example, the cardiovascular mortality hazard ratio average was 0.57 in NLST and 0.38 in FHS (weighted to be 0.53 for the aggregate). The reduction of mortality also extended to digestive diseases and pulmonary disease (data not shown below). Lung cancer incidence was reduced by 36% for high vs low thymic health (Figure below, with a panel -incidence and b panel-mortality, adjusted for age, sex, BMI, smoking status). Notably, there was a smoker’s paradox: lower incidence and improved survival for lung cancer in smokers who had a high thymus health score. Smoking was associated with lower thymic scores whereas alcohol was not. Higher thymic health was linked to higher HDL cholesterol, lower triglycerides, lower fasting blood glucose, and lower systolic and diastolic blood pressure. Inflammation biomarkers, such as C-reactive protein and interleukin-6, were elevated in the people with lower thymic health scores. In their second paper, the same team looked at the relationship between thymic score and outcomes for 3,476 patients receiving cancer immunotherapy. The non-small cell lung cancer progression-free survival was reduced in patients with low thymic health score. A parallel relationship for survival was seen for other types of cancer including melanoma, breast, and kidney with a 44% lower risk among high thymic scores (Figure). A similar pattern was seen with different immune checkpoint inhibitors. The thymus health score outperformed programmed death ligand-1 (PD-L1)and tumor mutation burden (TMB) assay of the tumor and was an independent prognostic marker of progression-free survival. In this dataset, a direct connect with thymus score and adaptive immune function was noted with a correlation before cancer treatment for both T-cell diversity and thymus T-cell production (a metric known as T cell receptor excision circles). Thymus Removal Study There is a highly relevant citation about thymus function before moving onto ways to rejuvenate it. In 2023, a very important study of thymus removal during cardiothoracic surgery was published, with 1146 patients undergoing thymus removal vs 1146 matched controls (mean age 55 years). The adverse outcomes for thymus removal were striking, with a 2.9 higher risk of all-cause mortality and doubling of cancer incidence, 1.5 fold increase in cancer mortality, and 1.5-fold increase in autoimmune diseases. The immune function showed marked compromise after thymus removal, as reflected by CD4+ and CD8+ T cells (Figure below) Share Ground Truths 3. Are there ways we can promote a healthy (aka rejuvenate) thymus gland in our later years? In recent months we’ve learned a lot about the process of thymus involution and the pathways by which this may be modulated. Thymus involution is primarily due to loss to thymus epithelial cells (TECs) and there are 2 subtypes with different functions: the cortical, responsible for positive selection of T cells, and the medullary, for negative selection. When adipose tissue infiltrates the thymus, thymic adipocytes are pro-inflammatory, knocking out T-cell output. Likewise, systemic inflammation, or “inflammaging,” from smoking, obesity, and chronic stress promote thymic adipocytes. Now, from preclinical studies, we know about key pathways that account for these processes. Historically, back in 2014, FOXN1 was recognized as a single master transcription factor essential for TEC function, with studies in mice with forced FOXN1 upregulation leading to thymus regeneration. That laid the foundation for potential regrowth of quiescent thymus cells. It took awhile to find pathways to accomplish this goal and to even refute its role as the master regulator. The Liver-Thymus Axis Feng Zhang and his team recently showed that injection of an mRNA vaccine to the liver encoding DLL1, IL-7 and FLT3-L in combination, factors known to support thymopoiesis (Figure), successfully enhanced immune function in aged mice. However, the effect was transient. The FGF21 Story Two reports in 2025 addressed the thymus gland’s production of FGF21, a growth factor (fibroblast growth factor 21) and its control of thymus involution. This growth factor is also produced by the liver, but it doesn’t have impact on the thymus in aged rodent models. In contrast, The liver’s hepatocyte growth factor (HGF) has been shown to reverse senescent TEC structural changes. Growth hormone stimulates production of insulin growth factor-1 (IGF-1) in the liver and the thymus. Two small studies in human participants (TRIIM, for Thymus Regeneration, Immunorestoration, and Insulin Mitigation) of 6 and 50 people, respectively, treated with combined human growth hormone, metformin and DHEA, suggested the potential of slowing epigenetic aging and improving thymus mass and function. But the combination of drugs, small sample, and lack of controls make conclusions murky. Increased thymus FGF21 led to increased CD8 T cells in old mice and extended healthspan and improved physical performance. Building on the previous FOXN1 data, ablation of β-klotho, the obligatory co-receptor for FOXN1, accelerated thymic aging. The benefit to FGF21 was confirmed in a companion paper using an FGF21 knock-in mouse model showing thymus enlargement and increased TECs throughout the lifespan. (schematic Figure below). The accompanying editorial for these 2 papers speculated: “The proposed link between age-associated thymus involution and organismal aging is intriguing, and suggests we might seek to achieve systemic rejuvenation by counteracting thymic involution.” Other Factors Lessons from the Axolotl (Mexican Salamander) In an elegant set of experiments of the axolotl (Figure), known for its complete thymus regeneration after total surgical removal, mediators were identified. Surprisingly FOXN1 was dispensable. But midkine, a growth factor, appeared to be the driver, the initiator of thymus cell growth, survival, and repair. Other components that contributed were Postn+ (periostin-expressing mesenchymal niches) and Ccl19, a chemokine protein from the bloodstream. RANK and RANKL RANK (receptor activator of nuclear factor κB its ligand (RANKL) have been considered key regulators of medullary TECs. In a study of both aged mice and human thymus cell cultures, their key role was confirmed, with multiple benefits of resorting TEC function, recruitment of progenitor cells, and T cell development. Subscribe Summing Up This body of work strongly supports the health of the thymus gland as a critical regulator of human healthspan, not just a correlate or link. The new landmark studies are reinforced by the regenerative biology experimental models that have shown, via an array of mediators, that healthspan of aged mice is at least in part dependent on thymus gland function and its critical role for maintaining adaptive immunity. It sure seems that we’d be better off having an immune reservoir of naive T cells instead of a profile in older adults of exhausted, low quality, memory T cells, with a senescent phenotype. It is striking that we ignored the importance of the thymus gland for many decades. A wake-up call was the results of the thymectomy matched control study reviewed here, with the opposite of high thymic health score improved health outcomes. The convergence of AI and healthspan here is notable. The exceptional and laborious work for developing and validating (no less explaining) the AI to quantify thymus health set the foundation for probing the connect the major health outcomes in two cohorts with extensive follow-up. We’ve never had a way to meaningfully quantify the thymus gland before, so this represents important leverage of supervised, self-supervised, and transformer models. The study wouldn’t have been possible without AI. And it begs the question as to whether there are ways we can maintain our thymus at a high health score. But it’s not so simple to rejuvenate our thymus. There are multiple risks including the induction of autoimmunity, increasing the risk of cancer, and inducing a pro-inflammatory state. For example, factors that increase TEC proliferation could compromise the medulllary negative selection process and leak out auto-reactive (self-attacking) T cells. Thymic cells could be induced to proliferate, but we know, for example, that growth hormone and IGF-1 are associated with an increase risk of cancer. If thymus rejuvenation doesn’t clear out the accumulated senescent cells in older adults, then inflammation within the gland could block the production of TECs. Keeping these risks in mind, we now have identified many ways to keep our thymus healthy as we age that undoubtedly will be tested in clinical trials going forward. Ultimately, the benefit-to-risk tradeoffs will be defined. In the meantime, we have desperately needed an immunome. As I’ve stressed in multiple prior Ground Truths, we have no test in the clinic to assess a patient’s immune status! It was very encouraging for me to get an email from Hugo Aerts, the senior author of the landmark papers in the days after they were published: “I also wanted to say that your Substack on “Why We Need an Immunome” was inspiring for this work. We found it a very compelling perspective and greatly enjoyed reading it.” Just having an assessment of a person’s immune status via a chest CT scan, with millions of these performed per year, might help in guiding the right immunotherapy for cancer (e.g. more intensive, combinations for those with low thymic health scores) and help define people who are increased risk for age-related diseases of cancer, cardiovascular, and neurodegenerative. The main theme of Super Agers is that we now have many layers of data (genetics, proteins, biomarkers, organ clocks that can be integrated via multimodal AI) for us to define a person’s specific risk decades before one of these age-related diseases leads to symptoms, enabling prevention. From the new studies this week, we can add thymus health score as yet another way to understand a person’s risk, a window into their adaptive immune system and healthspan. And perhaps someday we will be able to safely rejuvenate the thymus, or maintain its health through one’s life, and use the thymus health score to monitor. NB: I wrote this post (No A.I.) A Quick Poll Loading... ********************************************************************* Thanks to Ground Truths subscribers (now > 200,000) from every US state and 212 countries. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. Please join! If you found this interesting PLEASE share it! Share Ground Truths Paid subscriptions are voluntary and all proceeds from them go to support Scripps Research. They do allow for posting comments and questions, which I do my best to respond to. Please don’t hesitate to post comments and give me feedback. Let me know topics that you would like to see covered. Leave a comment Many thanks to those who have contributed—they have greatly helped fund our summer internship programs for the past two years. It enabled us to accept and support 47 summer interns in 2025! We aim to accept even more of the several thousand who will apply for summer 2026.
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