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'It was a cry for help' | Family mourns father killed in police shooting, says he struggled with mental health
The man's family asked that his identity, as well as their own, not be disclosed because they have not yet notified all of his extended family about what happened.
High school sports don't stop for the weekend. Here's what happened Saturday
The high school sports schedule doesn't take a weekend off. We've got the stories, scores and more from all of the games in Rhode Island played on Saturday, April 11, 2026.
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…
Iowa romance author Denise Williams loves happy endings
Her first book, “How to Fail at Flirting,” was published in 2020. Since then she’s written 10 more. All of them have been in the romance genre, including her most recent release, “The Re-Do List.”
“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.
New York Jets Flight Connections 04/11/26
Happy Saturday, Jets fans! Here are your links to kick off this weekend. Jack Bell – TE Kenyon Sadiq Could Be a ‘Really Interesting’ Pick for the Jets Antwan Staley – Jets still high on Mason Taylor, but Oregon TE Kenyon Sadiq could be draft option Michael Nania – Should Jets seize chance to trade […]
BAFTA apologizes again for racial slur scandal amid review results
BAFTA Board of Trustees says it is 'determined to learn from what happened' in the racial slur scandal that overshadowed its annual awards celebration in February.
Looking for weekend plans? Book fair, Open Streets: West Walnut offer entertainment for all
There are two fun events happening this weekend that we want to tell you about! First, Books and Brews Philly and South Philly bookstore A Novel idea are teaming up for a “Grown-Up Book Fair and Swap” on Sunday afternoon. Then, also on Sunday, we have “Open Streets: West Walnut” which just opened for the spring season. NBC10’s Sheila Watko tells us more about the upcoming events!
House Ethics Committee to consider sanctions for Sheila Cherfilus-McCormick on April 21
The meeting on punishment, up to expulsion, will happen as Florida lawmakers consider a map that already could end her career.
PC Industry In Dire Straits, 'Asking You to Own Nothing and Be Happy,’ Says Framework CEO
At least one laptop maker is saying what PC owners have all been thinking.
Sue Serino Invites Seniors to Learn Laughter’s Health Benefits
Dutchess County Executive Sue Serino and the County’s Office for the Aging (OFA) invite older adults to enjoy an uplifting and engaging afternoon focused on the health benefits of humor at “Spring Into Happiness: Laughter Edition."
Japanese prime minister Takaichi thrilled by Deep Purple's visit to her office
Japanese Prime Minister Sanae Takaichi took a short and happy break Friday as she hosted legendary British rock band Deep Purple in Tokyo as a longtime admirer | K-DAWN
Japanese prime minister Takaichi thrilled by Deep Purple's visit to her office
Japanese Prime Minister Sanae Takaichi took a short and happy break Friday as she hosted legendary British rock band Deep Purple in Tokyo as a longtime admirer | KMBZ
Dave Chappelle helps keep Ohio radio station rooted in hometown with restored building
Dave Chappelle has helped secure the future of a small-town radio station by funding the renovation of a historic building in Yellow Springs | KMBZ
Dave Chappelle helps keep Ohio radio station rooted in hometown with renovated building
Dave Chappelle has helped secure the future of a small-town radio station by funding the renovation of a historic building in Yellow Springs | WBEN
Flutter Entertainment (FLUT) Stock Trades Down, Here Is Why
What Happened? Shares of global online betting powerhouse Flutter Entertainment (NASDAQ:FLUT) fell 4.3% in the afternoon session after an analyst from Citize...
Israel’s attacks on Lebanon should not be happening, says Keir Starmer
In article for Guardian, PM also calls for Iran conflict to become watershed moment for future UK security
The MacBook Neo is the best thing to happen to Windows in years
There’s nothing quite like a bit of healthy competition
Health Physicists: The Quiet Experts Keeping Radiation Risks in Check
When radioactive materials are involved, whether at a former nuclear weapons site, a decommissioned reactor, or a legacy industrial facility, the goal is simple: protect workers, safeguard communities and reduce potential radiation risks to levels that are demonstrably safe. At the U.S. Army Corps of Engineers (USACE), health physicists are the professionals responsible for making that happen. Their work is often behind the scenes but always with consequences that matter deeply to the public.
Pierce County city approves new youth sports leagues after 10+ years without
Skills clinics for basketball, volleyball and soccer will happen this summer. Flag football, volleyball, T-ball starts in winter or spring.
Arts and entertainment events happening April 9-12 across the Mid-Ohio Valley
Jeff DeWitt joins Daybreak to discuss what’s happening April 9-12 across the Mid-Ohio Valley!
Trump promised to clamp down on health insurers. His policies are enriching them
In December, Trump said he would summon health insurance execs to the White House. It doesn't seem a meeting ever happened.
BBC Sport weekly quiz: How much does a pro's javelin cost?
How much attention have you paid to what's happened in the world of sport over the past seven days?
Teen takeover concerns grow in Columbus as business tightens security
Concerns over so-called teen takeovers are growing in Columbus as flyers circulating on social media suggest March gatherings could happen locally.
‘Stop Texting’—Apple Changes iPhone After 15 Years
The FBI warned smartphone users to stop sending texts — here's what happens now.
Science happens here! Institute of Marine and Environmental Technology invites public to free Open House Saturday, May 2, 2026
Dive into the world of marine science and explore cool tech at this open house you won't want to miss! Have you ever wondered what happens in that unique
The surprising science behind why travel makes you happier
Researchers found a link between new experiences and better moods—here's how it works.
Vincent D'Onofrio on that 'Daredevil: Born Again' cliffhanger
Vincent D'Onofrio talks that 'Daredevil: Born Again' episode 4 cliffhanger and what happens next. 'He becomes more of a loose canon,' the star says of Fisk.
Happy ending in Bremen? Werder star sends fresh signals
Romano Schmid appears to have a long-term future on the Weser. According to a report by kicker, the attacking player has returned to his longtime adviser Thomas Böhm. This is fueling hopes at Werder ...
‘The Beast’ is here, plus a base-brawl
The Pulse Newsletter 📣 | This is The Athletic’s daily sports newsletter. Sign up here to receive The Pulse directly in your inbox. Good morning! I hope you have a favorite fact about yourself ready. Inside: 📘 600 pages of NFL Draft 🥊 Base-brawl 🐘 Behold the Zammoth I come to you this morning with a confession. I find most pre-draft content, for any sport, exhausting. Not because of the specific article or mock draft or report, but because of the cycle itself. We are yammering about the infinite possibilities of something that has not happened yet. At a certain point,...
Cyberpunk 2077 gets a free PS5 Pro upgrade today that brings PSSR and better ray tracing options
After denying it would happen initially, CD Projekt Red has just dropped a PS5 Pro patch for Cyberpunk 2077 that includes PSSR-boosted resolution and better RT.
“Very difficult, perhaps altogether impossible”: Smith’s political science
Yet the argument of Book V is something quite different. Over hundreds of pages, Smith patiently shows why both peace and a tolerable administration of justice are historically rare, and continually fragile. To the extent that some society or other happens to have them, it seems to be neither the natural course of things nor […]
“Very difficult, perhaps altogether impossible”: Smith’s political science
Yet the argument of Book V is something quite different. Over hundreds of pages, Smith patiently shows why both peace and a tolerable administration of justice are historically rare, and continually fragile. To the extent that some society or other happens to have them, it seems to be neither the natural course of things nor […]
Tiny N.J. theater is a funnel to success on grander stages. How a ‘tenacious’ couple made it happen.
Recently, plays that began at the Jersey Shore theater have travelled up to New York.
What Deion Sanders thinks about recent criticism from former players
What happens in Boulder this season is the only real reply
'Full House' actress Andrea Barber awoke from surgery during O.J. Simpson’s Bronco chase: ‘What is happening right now?’
'Full House' actress Andrea Barber reveals she was under anesthesia during O.J. Simpson’s infamous Bronco chase in 1994.
Run, journalist, run: What happens when fourth estate pros transition to politics?
Quill, a magazine by the Society of Professional Journalists
Asia Minute: U.S. regional partners pursue new paths in the politics of energy
President Trump has made it clear he's not happy with several U.S. partners in the Asia Pacific, naming South Korea, Australia and Japan. But when it comes to the politics of energy, regional partners are making their own plans. HPR's Bill Dorman has more in today's Asia Minute.
Chris Pratt Gets Roasted For Fumbling Basic Mario Lore
‘It’s one thing to not know the source material but how do you not even know what’s happening in your own movie’
Binge is a movie tracking app that warns you of jump scares in real time
The app uses iPhone Live Activities to alert you when scary scenes are about to happen, while also tracking what to watch and where to stream it.
MAGA Is Winning Its War Against U.S. Science
Source: NBER With all the other terrible news right now, you may not have noticed that Donald Trump is in the process of killing American science. OK, that’s an exaggeration — but not that much of an exaggeration. The Trump administration’s latest budget proposal calls for a gigantic increase in military spending combined with severe cuts to social programs. But as the chart above shows, it also calls for debilitating reductions in research funding. Furthermore, Trump appointees have already been strangling science by sharply reducing the rate at which research grants are approved. Here, for example, is the number of new grants approved by the National Science Foundation: Source: Nature Large numbers of existing grants have also been frozen or terminated, especially in the study of infectious diseases. Add to this a sharp drop in visas issued to foreign students, who often play a direct role in research and who help support academic departments that do research: Put all of this together, and much U.S. scientific research is set to come to a screeching halt — not a few years from now, but over the course of the next year or two. This new assault on U.S. science is taking place at a time when the role of American science in the world has already been greatly eroded. The chart below, based on research recently reported by the National Bureau of Economic Research, measures national strength in science by the share of publications in highly ranked journals. In the 1990s the United States had more such publications than the rest of the world combined. Since then we’ve dropped into third place — well behind China and slightly below the European Union. And this was before the Trump administration’s attack on science had time to take its full effect. Source Some erosion in U.S. scientific preeminence was inevitable given China’s growing sophistication and wealth. But we’ve also fallen behind Europe, even though everyone says that Europe is lagging economically and technologically. Claims about Europe’s underperformance are, in fact, dubious if one looks hard at the data. But it’s still striking to see America lagging. What’s going on? There are presumably multiple factors behind America’s scientific lag. But even before Trump II the growing hostility of the U.S. right to science surely had some negative effect. And since the rise of MAGA G.O.P. attitudes toward science in general have become overwhelmingly hostile. This is true even for the Republican rank and file: And while I haven’t been able to find good survey data, it’s obvious that the anti-science turn has been even more pronounced — and began earlier — among the Republican political elite. Chris Mooney published The Republican War on Science in 2005, and even then was describing a longstanding trend. Why have Republicans turned so anti-science? Part of the answer is that they believe that scientists don’t support them. And they’re right! A study of who scientists give money to shows that only a small percentage gave money to Republicans even 20 years ago, and that almost none of them donate to Republicans now: Social scientists have always been strongly pro-Democratic, while there used to be a significant number of physical, “hard” scientists supporting the GOP. But these days physicists are almost as uniformly Democratic, or at least non-Republican, as sociologists. Why are there almost no Republican scientists? It’s not a mystery. GOP political orthodoxy includes positions that are at odds with the scientific consensus on multiple issues, ranging from the validity of the theory of evolution, to the reality of climate change, to the efficacy and safety of vaccines. In each case the scientific consensus is solidly grounded in evidence. But even before the rise of MAGA the U.S. right was increasingly hostile to evidence-based policymaking — especially, of course, where the evidence is unfavorable to fossil fuel interests or quack medicine, both financial mainstays of right-wing politics. So scientists don’t support Republicans, and the feeling is mutual. Today’s Republican Party doesn’t like science or scientists. It doesn’t like having its preconceived views challenged by appeals to evidence. It knows that very few scientists are on its side electorally. In general, it sees scientific research as a threat to its grasp on political power. Add in MAGA’s combination of rabid anti-intellectualism and allergy to any hint of criticism, and one has the makings of a drastic anti-science turn in policy. “Ignorance is strength” might was well be an official MAGA motto. And as I said, we aren’t talking about something that will happen over the course of multiple years: The U.S. scientific enterprise is threatened with severe damage, even collapse, over just the next year. There are many reasons to find this prospect horrifying: Think of all the beneficial advances, affecting almost every part of life, that won’t happen because U.S. science — still crucial to the world — has been eviscerated. But think, also, of America’s international standing. Can a nation that has forfeited its role as a leader, or even a contender, in global science, still be a Great Power? No. MUSICAL CODA
Youth sports training partnership expands with new downtown facility
Young athletes are training at an entirely new level these days with weight training and speed training, which means more injuries can happen.
Natural Gas Reliability as a Public Health Essential
Whether it’s a sprained wrist from trying to relive a childhood outdoor game, the sniffles from an unexpected rain shower on an evening walk, or questionable leftovers you knew may not be good; hospital trips happen every day. When anyone walks into a hospital, they expect machines to be working properly, temperatures to be comfortable, and equipment to be clean. The way patients rely on hospitals for care would not be […]
The biggest mistake HR leaders make when pitching new benefits to their CFO
HR leaders who pitch wellness programs by leading with employee happiness are making a costly mistake. The secret? Crunch the numbers.
Platner using trivia games, happy hours to power Senate campaign
Democrat Graham Platner is attracting support for his Maine Senate campaign from voters willing to forgive his past transgressions and embrace his populist message.
How the Voyager missions rewrote planetary science, tested the limits of 1970s engineering, and became humanity's longest-running experiment in institutional patience
In November 2026, Voyager 1 will become the first human-made object to reach one light-day from Earth. Nearly 49 years after launch, the twin Voyager missions remain the most productive space exploration program ever flown, and a case study in what happens when engineering resilience meets institutional patience.
‘Stop Texting’—Apple Changes iPhone After 15 Years
The FBI warned smartphone users to stop sending texts — here's what happens now.
Mark Cuban said CEOs face AI dilemma that could tank their stock
The billionaire said that they can either tear their companies down and rebuild with AI or do nothing. Either way, shareholders won't be happy.
When hospitals become corporations, what happens to patient safety?
In many medical malpractice cases, the public imagines a careless doctor making a single catastrophic mistake. In reality, serious medical errors are often the result of systemic pressures that pus…
I finally stopped letting my phone's default settings limit me, thanks to this little-known Android power utility
I can now see the bigger picture of why battery drain happens on the system level
Republicans who want to opt out of Colorado’s primaries get major boost from federal judge’s ruling
The judge ruled the requirement that 75% of the Colorado GOP or the Colorado Democratic Party must support opting out of the primaries before it can happen “constitutes a severe burden on the major parties’ right to association and is therefore unconstitutional."
How Graham Platner is using trivia games and happy hours to help power his Maine Senate campaign
Democrat Graham Platner is attracting support for his Maine Senate campaign from voters willing to forgive his past transgressions and embrace his populist message
How Graham Platner is using trivia games and happy hours to help power his Maine Senate campaign
a p n military-and-defense tattoos-and-piercings politics elections u-s-news general-news washington-news | NewsRadio 1080 KRLD
How Graham Platner is using trivia games and happy hours to help power his Maine Senate campaign
Democrat Graham Platner is attracting support for his Maine Senate campaign from voters willing to forgive his past transgressions and embrace his populist message.
How Graham Platner is using trivia games and happy hours to help power his Maine Senate campaign
a p n military-and-defense tattoos-and-piercings politics elections u-s-news general-news washington-news | WBBM Newsradio 780 AM & 105.9 FM
New York Jets Flight Connections 04/05/26
Happy Easter Sunday, Jets fans! Below are your links for the day. Brian Costello – What Jets might do at quarterback in 2026 NFL Draft Rich Cimini – With Sabres playoff berth, Jets own longest active playoff drought Andrew Crane – Jets now by themselves for longest-active playoff drought with Sabres clinching berth after 14 […]
What Happened To Zenith TVs? Why The American Brand Disappeared
At its height, Zenith was a premier American TV manufacturer well known for top-of-the-line sets. So, what went wrong that caused the brand to disappear?
'We couldn't adjust to it': How Michigan exposed Arizona's biggest weakness in Final Four blowout
When it was time to mount a comeback, Arizona didn't have the shooting firepower to make it happen.
Michigan-Arizona was supposed to be game of the year. What happened?
Arizona vs. Michigan in the Final Four was meant to be a thriller, but it was a complete dud after the Wolverines blew out the Wildcats.
'The Music Man' Marches Into Eisenhower Auditorium
“Ya Got Trouble” in Happy Valley as Big League Productions’ national tour of Meredith Willson’s “The Music Man” comes to Penn State’s Eisenhower
Scientists found a protein that drives brain aging — and how to stop it
Scientists have uncovered a powerful new clue in the mystery of brain aging: a single protein called FTL1. In aging mice, higher levels of this protein weakened connections between brain cells and led to memory decline. But when researchers reduced FTL1, something remarkable happened — the brain began to recover, rebuilding lost connections and restoring memory performance.
Insider Reveals What Trade Value Patriots Have On A.J. Brown
The New England Patriots and A.J. Brown have been linked in rumors all offseason, but no deal has happened yet.
NASA Disappoints Artemis II Astronauts By Cutting Off Chappell Roan Wakeup Song
This is a lot cooler than Katy Perry going into space: NASA played Chappell Roan’s “Pink Pony Club” to wake up the astronauts on Artemis II this morning. However, mission control abruptly cut the audio after Roan sang “heels.” “We were all eagerly awaiting the chorus,” Commander Reid Wiseman joked. Artemis II launched on Wednesday…
AI Is Killing Microsoft
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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:
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More than 250 high school student-athletes from across the Los Angeles Unified School District spent a day learning about heart health alongside Los Angeles Chargers players.Students learned hands-only CPR, met Chargers players Elijah Molden and RJ Mickens in UCLA Health Sports Performance Training, Powered by Exos, and enjoyed lunch on the patio at Huddle for Heart Health, held March 19 at The Bolt, the Chargers’ official practice facility in El Segundo. RJ Mickens, left, and Elijah Molden joined more than 250 LAUSD high school students at the Huddle for Heart Health event. (Photo courtesy of Joaquin Torre/Los Angeles Chargers) Along with learning CPR techniques, students practiced performance training on the LA Chargers practice field in El Segundo. (Photo courtesy of Joaquin Torre/Los Angeles Chargers) LA Chargers defensive back RJ Mickens visits with high school students at the Huddle for Heart Health event. (Photo courtesy of Joaquin Torre/Los Angeles Chargers) The event was presented by UCLA Health, the American Heart Association, the Los Angeles Chargers and LAUSD.Hands-only CPR is a lifesaving skill, said David Sato, MD, board president of the American Heart Association Los Angeles.“We save more lives when we work together,” said Dr. Sato. “This collaboration with UCLA Health and the Los Angeles Chargers to teach students how to perform hands-only CPR helps ensure more families in Los Angeles have someone ready to act in a cardiac emergency when seconds count.”Hands-only CPR is a lifesaving procedure for cardiac emergencies that doesn’t involve rescue breaths. It involves pressing hard and fast in the center of the chest of a teen or adult who has collapsed. Pressing can be done to the beat of the Bee Gee’s hit “Stayin' Alive, which, at 100 beats per minute, is the minimum rate at which to push during hands-only CPR, according to the American Heart Association. LA Chargers defensive back Elijah Molden, standing, helps high school students learn CPR skills. (Photo courtesy of Joaquin Torre/Los Angeles Chargers) Most cardiac arrests that don’t happen in the hospital happen at home, and hands-only CPR is as effective as CPR with breaths in the first minutes following a cardiac emergency.
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