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The Phillies Preach Patience, But Will Bryce’s Bat Benefit?

If at first pitch you don’t swing…

Apr 16 • 1:00 PM EDT • Sports • sports.yahoo.com

How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.

Just how fast is the future coming at us, and how worried should we be? Last week, Anthropic announced Claude Mythos, the latest in what has become the leading family of AI models. In a very short time, AI models from Anthropic and other companies have become shockingly powerful at coding. But Mythos stands out because it is not just able to write code that can hack into critical systems, like those that run financial companies, but also to analyze systems and find and string together vulnerabilities in them, allowing Mythos to evade even sophisticated defenses. Anthropic chose to release Mythos to only about 40 leading corporations, so they could analyze the model’s capabilities and prepare countermeasures, in an effort it calls Project Glasswing. The release of Mythos—and the prospect of similarly powerful AIs to follow—has caused tremors at the top levels of Washington and corporate America. Jared Kaplan, co-founder and chief science officer at Anthropic, is at the center of this breakthrough. We sat down with Kaplan so he could walk us through just how powerful Mythos is, what the implications are for issues like our personal privacy, and what comes next. This conversation has been edited for length and clarity. Sean Fischer: For the layman, how is Claude Mythos different—more powerful, more dangerous—from previous models released by Anthropic? Jared Kaplan: I think most people have experienced the fact that our computers get faster and faster over time and over many decades. There’s this very smooth trend where every 18 months, maybe, computer processing power doubles. I think AI is on a trend in which it’s improving maybe 10 times faster than that. A lot of the earliest work that I did in AI was around identifying this scaling trend in AI. Claude Mythos is the latest model from Anthropic, but it’s not different because it’s qualitatively different. It’s really just kind of the culmination of the trend of AI models getting smarter and smarter at all kinds of general capabilities, from reasoning to software engineering to scientific research to knowledge work. For us, it was the first model to demonstrate very elite-level cybersecurity capabilities. It wasn’t because we trained Claude Mythos to focus on cybersecurity, but it was because, as a byproduct of its general intelligence and its general ability with software, it’s particularly good at identifying vulnerabilities in software and how to exploit them.

Apr 15 • 11:40 PM EDT • Science • thefp.com

Red Sox 9, Twins 5; Boston swings to salvage finale

The Red Sox broke out the bats in need of a response from Tuesday’s shutout loss. A big day for Trevor Story (5 RBIs) helped Boston earn a 9-5 win over the Minnesota Twins. The Red Sox avoided the sweep against the best team in the American League so far. Here are three takeaways from […]

Apr 15 • 5:53 PM EDT • Sports • sports.yahoo.com

New York Yankees respond after Aaron Judge called out team

The MLB regular season is in full swing, and teams are already battling early in the year. Some clubs have jumped out to hot starts. Others, however, have stumbled out of the gate. The New York Yankees entered Monday on…

Apr 14 • 11:59 AM EDT • Sports • sports.yahoo.com

Is Caesars Entertainment (CZR) Offering Value After Recent Share Price Swings?

If you are wondering whether Caesars Entertainment at US$26.88 is a bargain or a value trap, the key is understanding what you are really paying for today. The stock is up 1.3% over the last week and 14.1% year to date, but that sits alongside a 4.2% decline over the last month and longer term returns of 6.1% over 1 year, 38.2% over 3 years and 71.3% over 5 years. Those mixed returns sit against a backdrop of ongoing attention on Caesars Entertainment as a major US gaming and hospitality...

Apr 12 • 7:09 PM EDT • Entertainment • finance.yahoo.com

Tencent Music Entertainment Group (NYSE:TME) Valuation Check As Options Volatility Climbs And Analyst Caution Grows

Recent trading in Tencent Music Entertainment Group (NYSE:TME) options has shown unusually high implied volatility. This points to expectations of sharp share price swings, while analyst sentiment on the stock and sector remains cautious. See our latest analysis for Tencent Music Entertainment Group. The latest share price of $9.36 sits against a 30 day share price return of 34.04% and a year to date share price return of 47.59%, while the 1 year total shareholder return of 21.48% contrasts...

Apr 12 • 5:22 AM EDT • Entertainment • simplywall.st

“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.

Apr 11 • 11:38 AM EDT • Technology • natesilver.net

Masters 2026: Rory McIlroy winning a green jacket has only made him more dangerous at Augusta National

McIlroy started slow on the first nine, but confidence allowed him to 'keep swinging' his way to the top of the Round 1 leaderboard

Apr 9 • 5:47 PM EDT • Sports • cbssports.com

Ishbia family taking swing at youth sports facility for vacant Office Depot

(Editor’s Note: Alex Harrison Perry reported this story for Evanston RoundTable, a neighboring independent newsroom. It was shared with The Record as part of an ongoing collaborative effort.) The vacant Office Depot building at 2722 Green Bay Road — just a block south of Wilmette — could become a year-round site for youth sports, as a North Shore family […]

Apr 8 • 6:05 PM EDT • Sports • therecordnorthshore.org

Democrats just locked down control of one of the most important courts in America

Dems won a swing-state election in a 20-point blowout.

Apr 8 • 10:00 AM EDT • Politics • vox.com

SC Democrats want to break GOP supermajority in House. Can they swing 6 seats?

South Carolina Republican lawmakers dominate both chambers, allowing them to pass laws without support from the other parties. Will Democratic candidates upset the supermajority this year?

Apr 8 • 5:00 AM EDT • Politics • thestate.com

Elite EDGE Mekai Brown down to five schools

The Northeast’s top high school football prospect is down to five schools. Greenwich (Conn.) Country Day four-star EDGE Mekai Brown has been consistently on the road since the fall, getting a look at myriad high-profile programs. After his latest swing of spring trips, Brown is ready to narrow his focus. The 6-foot-6, 235-pounder told Rivals’ […]

Apr 6 • 3:43 PM EDT • Sports • sports.yahoo.com

Democrats, Republicans Clash Over Iran War in Week 6

A swing-district Republican called the war an “incredible operation,” and President Trump drew backlash from political figures in both parties over a social media post.

Apr 5 • 4:14 PM EDT • Politics • nytimes.com

District 2 candidates far apart on upzoning

Family Zoning Plan could swing June election.

Apr 5 • 7:00 AM EDT • Politics • sfexaminer.com

2026 Fantasy Baseball Team Names Featuring Shohei Ohtani and More

Shohei Ohtani headlines some of the best baseball players to take a swing on

Apr 4 • 8:00 AM EDT • Sports • sports.yahoo.com

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:

Apr 3 • 12:57 PM EDT • Technology • interconnects.ai

Here's 14 high top sports performers from Monday's MetroWest action

The high school sports spring season is in full swing after Monday's action. Here are 14 top performers that are off to hot starts.

Mar 31 • 1:30 PM EDT • Sports • metrowestdailynews.com

Mizzou infielder Kam Durnin (27) swings for the ball

Mizzou infielder Kam Durnin (27) swings for the ball on Sunday at Taylor Stadium in Columbia. Mizzou lost to Texas A&M every game during their three-game series.

Mar 29 • 6:43 PM EDT • Sports • columbiamissourian.com

His party called him ‘repugnant’ for defying Trump. Brad Raffensperger still thinks he could win GOP nod for Georgia governor

Brad Raffensperger, who resisted President Donald Trump’s 2020 push to “find” votes in Georgia, is running for the Republican nomination for governor. How he does will measure not just the mood of the GOP in a critical swing state but whether candidates who defy the president have a place in Trump’s GOP.

Mar 29 • 5:00 AM EDT • Politics • cnn.com

NCAA tournament Sweet 16 live updates, scores: Men's and women's March Madness back in full swing

Mar 27 • 12:30 PM EDT • Sports • sports.yahoo.com

Exclusive: Kamala Harris to appear at Democratic events through the South in April

As speculation continues about what Kamala Harris will do next, she has at least the first part of an answer: a swing through four Southern state Democratic Party events in April.

Mar 26 • 7:01 AM EDT • Politics • cnn.com

2025-26 Sweet 16 Betting Report: Swing in Futures Liability Impacting Books

The books no longer need who they thought they needed when the Tournament began. Patrick Everson has the scoop.

Mar 25 • 6:25 PM EDT • Sports • foxsports.com

Glyphosate: A story of science, risk, and nuance

In the summer of 2014, a California groundskeeper named Dewayne Johnson started noticing patches of raw, weeping skin spreading across his body. He had spent years applying Roundup, Monsanto’s glyphosate-based herbicide, for a school district, sometimes drenched in it when equipment malfunctioned. By 2014, he had a diagnosis: non-Hodgkin’s lymphoma. In 2018, a jury awarded him $289 million in damages, later reduced on appeal. Tens of thousands of lawsuits followed. The story hasn’t quieted down. It’s all over the internet, swinging between “this will kill you, buy organic” and “relax, you’re fear-mongering.” Some of that recent chatter stems from an Executive Order protecting glyphosate and its production, which set off intense infighting within the MAHA movement. Some of it reflects a deeper truth: Americans genuinely care about harmful chemicals in their environment (see poll below). And the conversation isn’t going anywhere, with a Supreme Court case involving Monsanto set for this April. Glyphosate (the active ingredient in Roundup) is one of the most widely used herbicides in the world. But does glyphosate cause cancer? And how much exposure is actually risky? With so much mistrust in institutions and corporations (and some genuine conflicts of interest), making sense of the actual scientific evidence is genuinely hard. Here is a translation of what the scientific evidence actually says. Does glyphosate cause harm? Glyphosate is an herbicide that kills most plants it contacts rather than targeting specific species. It works by blocking an enzyme pathway (EPSPS) that plants and many microorganisms need to produce essential amino acids. Without those amino acids, the plant can’t grow and dies. Glyphosate was first developed by Monsanto in the 1970s and became ubiquitous after the company introduced “Roundup Ready” crops in the 1990s. In 2024, Bayer removed glyphosate from residential Roundup-branded products due to litigation pressure. But today it is still the most widely used herbicide in the world. Farmers also discovered they could spray it directly on crops like oats, lentils, beans, and peas just before harvest to dry them out faster and make harvesting easier. Because of its widespread use, it’s obviously really important to understand if it’s harmful to humans. The key principle: The dose makes the poison The most important concept in toxicology is that “the dose makes the poison.” Sixteenth-century physician Paracelsus articulated what remains the foundational principle of toxicology: sola dosis facit venenum. Water will kill you if you drink enough of it. Aspirin saves lives at 81 milligrams and causes internal bleeding at higher chronic doses. So, at what dose is glyphosate poisonous? The LD50 in rats (the dose that kills half the test animals) is around 5,600 mg/kg body weight. Table salt is roughly 3,000 mg/kg. By that classic measure, glyphosate is less acutely toxic than salt. But some people are exposed to a lot of glyphosate through their work. And among the general public, there are many questions about low-dose, cumulative exposure from multiple sources over long periods. Does glyphosate cause health problems? Cancer Correlation maps are striking, with one analysis finding that 60% of counties that spray the most glyphosate have non-Hodgkin’s lymphoma rates above the national average. But correlation alone doesn’t establish cause, which is why animal and human studies matter. In animals: Rat studies are typically what most fear is rooted in, but most people don’t know the study details on the dosage given to rats. A pooled analysis of the 13 most rigorous rat studies found evidence that very high doses, around 55,000 times greater than typical food residue exposure, can cause certain cancers. In humans: One of the strongest studies followed 55,000 herbicide users over 20 years and found no overall increased cancer risk. There was one signal: among those with the highest use, rates of acute myeloid leukemia (AML) appeared elevated. A broader meta-analysis of 18 human studies also found no overall cancer risk, though a separate meta-analysis focused specifically on non-Hodgkin lymphoma found that people with high cumulative glyphosate exposure faced a 41% higher relative risk compared to those with low or no exposure. These human studies are observational studies (randomized controlled trials would be unethical), and meta-analyses are only as reliable as the studies they pool. But the story seems consistent: at very high exposure levels, there may be some cancer risk. But that’s about as far as the science currently takes us. Emerging research: gut and reproductive health Gut: Because glyphosate targets a pathway that exists in some gut bacteria, scientists have questioned whether it could affect the microbiome. In mice, a 2023 University of Iowa study found that glyphosate altered gut bacterial composition and raised markers of intestinal inflammation. A 2024 systematic review found similar patterns: disrupted gut bacteria and problems with the mucus layer that protects the intestinal wall in mice. Whether this translates to humans is an open question. The human gut is highly variable and resistant, and we don't yet have strong studies confirming the same effects in people. Reproductive health: Animal studies have found that glyphosate-based herbicides can interfere with reproductive hormones, including disrupting egg cell development in mice and reducing the number of eggs available in sheep’s ovaries. However, the doses used in these experiments were high, so it’s not yet clear whether the same effects would occur in humans. On the human side, a 2021 pilot study led by Mount Sinai researchers tested urine samples from pregnant women across the U.S. and found glyphosate in 95% of them. The study also found a possible connection between higher glyphosate exposure during pregnancy and a subtle physical difference measured in female newborns. That said, some connections weren’t statistically reliable and this was a small study. The researchers themselves said more and larger studies are needed before drawing firm conclusions. What do regulators say about glyphosate safety? In 2015, the International Agency for Research on Cancer (IARC), part of the World Health Organization, classified glyphosate as "probably carcinogenic to humans" (Group 2A). The classification is worth taking seriously. But, there’s an important distinction: IARC classifies hazard, meaning the potential to cause harm under some conditions. It does not assess risk, which accounts for actual exposure levels and the real-world probability of harm. The U.S. EPA, the European Food Safety Authority, Health Canada, and regulatory agencies in Australia and Japan have all concluded that glyphosate is “unlikely to be carcinogenic to humans” at realistic exposure levels. They’re asking a different question: given how much of this people actually encounter, what is the probability of harm? Your actual exposure is what determines your actual risk. What does glyphosate mean for your daily life? At the grocery store: Food residues are small. The EPA’s acceptable daily intake is 1.75 mg/kg of body weight per day. To hit that threshold from oatmeal alone, a 150-pound adult would need to eat roughly 50 pounds of oats every day. But this calculation addresses only one pathway (food), and we don’t yet have robust tools to measure people’s actual total exposure. If reducing exposure matters to you, organic certification prohibits synthetic herbicides, and organic oat products generally test at lower or undetectable levels. Either way, a diet rich in whole grains, conventional or organic, is far better for your health than one that omits them out of fear of residues. On the farm: Occupational exposure is orders of magnitude higher than consumer exposure. Farmers and farm workers who mix, load, and apply glyphosate-based herbicides, especially without protective equipment, face meaningfully different risk profiles. Proper PPE isn’t optional. Integrated weed management strategies that rotate chemical modes of action are also worth taking seriously, both for health and for long-term effectiveness. If you live near a farm: Spray drift is real. Concentrations near field edges can spike during and after application, particularly on windy days. This is an area where I think public health could really step up and empower rural communities with buffer zones, rather than placing the onus on individuals. But for now, knowing your local agricultural calendar and keeping windows closed during application are the first steps. Bottom line Dewayne Johnson was exposed to glyphosate at levels most people will never encounter, and a jury decided he deserved compensation. That outcome is not evidence that the oatmeal in your pantry is dangerous. But it is a reminder that the dose, the context, and the person doing the exposing all matter enormously. Glyphosate is a chemical tool with benefits, trade-offs, and genuine open scientific questions. Learning to hold that complexity without collapsing into panic or dismissal is, honestly, one of the most useful and hardest things to do in navigating modern health science. Love, YLE Your Local Epidemiologist (YLE) is founded and operated by Dr. Katelyn Jetelina, MPH PhD—an epidemiologist, wife, and mom of two little girls. Hannah Totte, MPH, is an epidemiologist and YLE Community Manager. YLE reaches more than 425,000 people in over 132 countries with one goal: “Translate” the ever-evolving public health science so that people will be well-equipped to make evidence-based decisions. This newsletter is free to everyone, thanks to the generous support of fellow YLE community members. To support the effort, subscribe or upgrade below: Subscribe

Mar 25 • 10:25 AM EDT • Science • yourlocalepidemiologist.substack.com

Takeaways: Capitals Can’t Get Going In Loss to Blues

The Washington Capitals did a lot of the right things so Tayler against the St. Louis Blues to kick off their three-game road swing. However, it wasn’t enough, and ultimately, a lack of offense led to a 3-0 loss.

Mar 24 • 11:17 PM EDT • Sports • sports.yahoo.com

Republican Phil Berger, one of North Carolina’s most powerful politicians, concedes state Senate race

North Carolina State Senate leader Phil Berger on Tuesday conceded his primary race to Rockingham County Sheriff Sam Page, a political earthquake that took down arguably the most powerful politician in a pivotal swing state.

Mar 24 • 5:48 PM EDT • Politics • cnn.com

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

Mar 24 • 10:53 AM EDT • Entertainment • quiverquant.com

India’s March private business activity slows to lowest since Oct 2022, missing forecasts

India's private-sector business activity, which had been on an upswing since the start of 2026, falters in March due to shockwaves from the Iran war

Mar 24 • 1:16 AM EDT • Business • cnbc.com

Warriors Announce Moses Moody News After Leaving Mavericks Game

Golden State Warriors swingman Moses Moody was stretchered off the court on Tuesday against the Mavericks.

Mar 24 • 12:57 AM EDT • Sports • sports.yahoo.com

Palm Beach County high school sports weekly schedule for March 23-28

High school sports are back in full swing in Palm Beach County. See the full schedule for baseball, softball, lacrosse and more.

Mar 23 • 5:01 AM EDT • Sports • palmbeachpost.com

Small swings, high drama: why UK polls are less volatile than they seem

In what is beginning to look like a fragmented five-party system, small swings carry outsized political consequences

Mar 23 • 3:00 AM EDT • Politics • theguardian.com

Are spring temperature swings hurting your health? Yes, here's how

Weather swings affect your physical health in a variety of ways.

Mar 22 • 1:42 PM EDT • Health • delawareonline.com

Vonovia Swings to Net Profit on Rental Business Strength

The real-estate company posted a net profit of €3.72 billion in 2025 compared with a net loss of €896 million in the prior year.

Mar 19 • 2:47 AM EDT • Business • wsj.com

A Look At Tencent Music Entertainment Group (TME) Valuation After Optimism Around Earnings And Analyst Upgrades

Tencent Music Entertainment Group (TME) has been in focus after a recent upswing in its share price, driven by optimism ahead of earnings, recent analyst upgrades, and Apple’s lower App Store commissions in China. See our latest analysis for Tencent Music Entertainment Group. That recent pre earnings optimism now sits against a sharp pullback, with a 1 day share price return of a 24.65% decline and a 30 day share price return of a 28.27% decline. At the same time, the 3 year total shareholder...

Mar 18 • 3:07 AM EDT • Entertainment • finance.yahoo.com

King of Illinois: Pritzker swings senate race as he targets Trump

Juliana Stratton’s victory in a heated Senate primary vindicates the governor’s political operation heading into 2028.

Mar 18 • 12:16 AM EDT • Politics • politico.com

NASA’s Parker Solar Probe Makes 27th Swing Around the Sun

NASA’s Parker Solar Probe completed its 27th close approach to the Sun on March 11, again matching its record distance of 3.8 million miles (6.2 million kilometers) from the solar surface.

Mar 16 • 2:10 PM EDT • Science • science.nasa.gov

Panthers $120 million signing named among riskiest offseason moves

The Carolina Panthers took a big swing in free agency to add a defensive playmaker, but not everybody is a huge fan of the move.

Mar 15 • 11:17 AM EDT • Sports • sports.yahoo.com

How the rapid barometric pressure changes during erratic weather can wreak havoc on our health

Pittsburgh’s weather has been anything but predictable lately. Rapid swings in temperature, gusty winds and quick-moving storm systems have many...

Mar 13 • 10:58 AM EDT • Health • post-gazette.com

Congestion pricing, energy demands driving up cost of doing business in New York

United Refining Chairman and CEO John Catsimatidis joins 'Mornings with Maria' to discuss Strait of Hormuz tensions, oil price swings, President Donald Trump’s response to Iran and New York City’s budget crisis.

Mar 13 • 8:30 AM EDT • Business • foxbusiness.com

Yankees 2026 Season Preview: Ryan Yarbrough

Any team with playoff aspirations needs a versatile swingman like Yarbrough to weather a full season.

Mar 12 • 9:00 AM EDT • Sports • sports.yahoo.com

Chinese companies race to hedge against a swinging yuan with regulatory encouragement

Chinese companies have rushed to derivatives for protection from currency exposure as a rising yuan has hurt some exporters for months and - more recently - the war in Iran has ramped up volatility.

Mar 11 • 7:01 PM EDT • Business • reuters.com

Business - Oil markets swing on stockpile release and Hormuz Strait mine reports

Mar 11 • 6:21 AM EDT • Business • france24.com

Sunday Sports: Postseason basketball is in full swing in the North Country

Here’s a recap of your North Country sports this Sunday.

Mar 8 • 6:19 PM EDT • Sports • wwnytv.com

'Lights, Rides, and Fun Nights!' 2026 St. Lucie County in full swing

The fair features a carnival midway, fair food, petting zoo, racing pigs, a cowboy circus, live music and other entertainment. The last day is March 8.

Mar 3 • 9:44 AM EST • Entertainment • tcpalm.com

The Risky Politics of Trump’s New War With Iran

While most Americans will view the war through a partisan lens, there are multiple ways it could backfire with swing voters.

Mar 1 • 3:50 PM EST • Politics • nymag.com

The Texas Senate Primary Offers a Test Case for Each Party

Should Democrats concentrate on swing voters or their base? Can more traditional Republicans win in the MAGA era? Tuesday’s Senate primary in Texas will show the direction the parties are taking.

Mar 1 • 5:01 AM EST • Politics • nytimes.com

Is PENN Entertainment (PENN) Attractively Priced After Recent 20% Weekly Share Price Jump?

Wondering whether PENN Entertainment at around US$15.64 is a bargain or a value trap? This article walks through what the current price might be implying. The share price has moved sharply in the short term, with a 20.1% return over the last 7 days and 18.0% over the last 30 days. However, the 1 year return of 27.3% and 3 year return of 49.8% show a very different picture. These swings come as investors continue to reassess PENN Entertainment's position in the US gaming and entertainment...

Feb 28 • 6:12 AM EST • Entertainment • finance.yahoo.com

Another day, another AI mood swing

What matters in U.S. and global markets today

Feb 25 • 6:39 AM EST • Business • reuters.com

Yankees news: Jones adopts an Ohtani-like swing

Spencer Jones’ new swing draws comparisons to Ohtani; Caballero can seize playing time; John Sterling’s health scare.

Feb 23 • 12:00 AM EST • Sports • sports.yahoo.com

Melco Resorts & Entertainment (MLCO) Is Down 12.9% After Return To Quarterly Profitability And Record Five-Star Awards

In February 2026, Melco Resorts & Entertainment reported fourth-quarter 2025 results showing revenue rising to US$1,293.27 million and a swing from a US$20.27 million net loss to a US$60.64 million net income, supported by stronger gaming performance in Macau and Cyprus. Alongside this financial improvement, Melco secured a record 19 Forbes Travel Guide Five-Star Awards and maintained about US$2.40 billion of liquidity, underscoring both operational strength and brand positioning across its...

Feb 15 • 5:21 AM EST • Entertainment • simplywall.st

Is Ubisoft Entertainment (ENXTPA:UBI) Now An Opportunity After Its Sharp Multi‑Year Share Price Slide?

If you are wondering whether Ubisoft Entertainment's beaten down share price now represents value or a value trap, you are not alone. This article is built to help you think that through clearly. The stock has been volatile recently, with a 14.5% gain over the last 7 days but declines of 26.1% over 30 days, 27.2% year to date and 59.2% over 1 year, and an even larger 77.4% and 93.7% slide over 3 and 5 years. Recent coverage has focused on Ubisoft Entertainment's share price swings and what...

Feb 14 • 5:15 AM EST • Entertainment • finance.yahoo.com

Column | Republicans see a big opportunity in crowded Democratic primaries

In several states and swing districts, House Democrats have nomination contests that could prove harmful.

Feb 14 • 5:00 AM EST • Politics • washingtonpost.com

Business Lookahead: Giddy Up

STORY: From bellwether Walmart reporting earnings... to new economic data out of the UK... these are the stories to watch in business and finance in the coming week.:: The trillion dollar clubFresh off hitting $1 trillion in market value, Walmart posts quarterly results on Thursday.Walmart's report offers a glimpse into consumer spending after recent data showed December U.S. retail sales were unexpectedly flat.A surprisingly strong employment report for January eased some concerns about economic weakening.Economic reports in the coming week include the advance reading of fourth-quarter GDP, a monthly consumer sentiment survey, and the personal consumption expenditures price index, a key inflation measure.:: Heavy metalsEurope's four largest mining companies report earnings in the coming week.Copper, gold, silver and other precious metals all recently hit records - but the January rally has given way to a sharp February sell-off.Last month's rally boosted the market values of Rio Tinto, Glencore, Anglo American and Antofagasta.Their earnings will test whether the momentum can be sustained.:: UK economic data UK labor market data and inflation readings will provide fresh fodder for markets, even though investors are still digesting the fallout from the recent government instability.Labor market numbers due on Tuesday will show if a gradual cooling of wage growth has continued.Then, January inflation data comes Wednesday.The political turmoil has set a tense backdrop, leaving markets highly sensitive to data swings. Fitch is also due to review its UK rating on Friday.

Feb 13 • 2:45 PM EST • Business • finance.yahoo.com

Yankees announce signing of former World Series champion pitcher

The New York Yankees have added veteran right-hander Rafael Montero in a move aimed at reinforcing bullpen depth ahead of the 2026 season. Montero, 35, brings experience, swing-and-miss stuff, and postseason exposure to a Yankees relief corps that has been…

Feb 12 • 9:39 PM EST • Sports • thebiglead.com

Centene swings to 2025 loss on $6.7 billion goodwill hit

Company exits a "challenging year" but insists it is entering 2026 with "positive momentum"

Feb 8 • 4:08 PM EST • Business • insurancebusinessmag.com

Does a shocking election result in Texas mean anything in Florida politics?

In the suburbs of Fort Worth, Texas, on Jan. 31, a Democratic candidate named Taylor Rehmet won a special election for a state Senate district by 14 points. It was the same district Donald Trump won by 17 points in 2024 — a 31 point swing, the largest over-performance in a competitive special election since […]

Feb 8 • 12:05 AM EST • Politics • floridaphoenix.com

‘It’s almost like a family reunion’ - Alaska Black Business Expo celebrates eleven years of showcasing Black entrepreneurs

With Black History Month in full swing, the Anchorage Museum played host to the 11th annual Alaska Black Business Expo, Summit and Fashion Show, which began Saturday.

Feb 7 • 9:32 PM EST • Business • alaskasnewssource.com

Spring Sports: Know Before You Go

HICKORY, N.C. - Despite the winter weather, Lenoir-Rhyne Spring sports are about to be in full swing. Baseball hosts Columbus State for a three-game series this weekend while Men's Lacrosse takes on No. 2 Tampa in a showdown of national powers on Saturday. Softball opens up the home portion of their schedule on Wednesday, February 11, vs. Belmont Abbey. The final Spring sport to open the home portion of the their schedule will be Women's Lacrosse, who take on Rollins in Moretz Stadium on Sunday, February 22.

Feb 5 • 10:52 AM EST • Sports • lrbears.com

Trump’s deportation push is scrambling New York’s suburban politics

Fury over immigration enforcement is dividing swing districts and putting pressure on moderate Democrats and pro-Trump Republicans.

Feb 5 • 5:55 AM EST • Politics • politico.com

Giannis Antetokounmpo mock trades: Four sleeper teams that could swing big

The Knicks, Heat, Wolves and Warriors aren't the only teams that could enter the Giannis sweepstakes this week

Feb 3 • 10:31 PM EST • Sports • cbssports.com

There’s a silver lining to our health care cost crisis

Why another big swing at health care reform is coming.

Feb 2 • 6:00 AM EST • Health • vox.com

Fintech lender SoFi profit jumps on strong growth in fee‑based businesses

Consumers are shifting high-cost credit-card balances to fintech lenders to take advantage of low-interest personal loans. SoFi's financial services ⁠business, which includes credit card ‌and investing products, saw revenue surge 78% in the quarter ended December 31 to $456.7 million. Fee-based businesses help insulate fintechs from ‍interest-rate swings.

Jan 30 • 7:16 AM EST • Business • finance.yahoo.com

Florida Sheriffs swing behind Byron Donalds in Governor’s race

Law enforcement support builds as Donalds consolidates Republican primary momentum statewide

Jan 28 • 11:32 AM EST • Politics • floridapolitics.com

Penn State reminds students of mental health resources and support

With spring semester classes and cocurricular activities in full swing, Penn State is reminding students of the many resources that are available to support their mental health.

Jan 27 • 7:00 AM EST • Health • psu.edu

Is Melco Resorts & Entertainment (MLCO) Attractive After Recent Share Price Swings?

If you are wondering whether Melco Resorts & Entertainment is a bargain or a value trap at around US$6.35, you are not alone. The answer starts with looking closely at what you are really paying for its business today. The stock has had a mixed run, with a 3.6% gain over the last 7 days, a 20.7% decline over the last 30 days, a 15.4% decline year to date, but a 13.4% gain over the last year, set against much larger declines of 53.1% and 60.3% over the last 3 and 5 years. Recent coverage of...

Jan 25 • 4:21 AM EST • Entertainment • simplywall.st

Local business overcomes huge summer setback

Swing-N-Pickle, a local sports entertainment business, is finally opening its doors after overcoming a $70,000 theft setback.

Jan 24 • 5:27 PM EST • Business • kob.com

ACC Roundup - A Dreadful Week For The Heels

What an awful West Coast swing for the Tar Heels

Jan 18 • 8:48 AM EST • Sports • sports.yahoo.com

Texas’ party primaries shape the state’s politics. So why do so few voters participate?

November’s elections may seem far away, but the 2026 midterms are very much in full swing. With Republicans and Democrats releasing ads targeting their opponents and asking for campaign donations.

Jan 17 • 5:00 PM EST • Politics • dentonrc.com

Does golf count as exercise? Only if you avoid one thing, say experts

A study shows that 18-hole rounds provide superior blood sugar and cholesterol benefits compared to walking, demonstrating the sport's exercise effectiveness.

Jan 16 • 8:16 PM EST • Health • foxnews.com

What Voters Told Democrats About ICE, Rising Costs and Party Perceptions

In focus groups, swing voters gave Democratic politicians some tough feedback on the party.

Jan 14 • 6:37 PM EST • Politics • nytimes.com

Nikki Glaser takes swings at CBS and Leo, goes gentle on Julia in Golden Globes monologue

Nikki Glaser opened Sunday's Golden Globes with a sharp monologue. She joked about stars possibly being in the Epstein Files and took a jab at CBS for editing a critical “60 Minutes” story. Glaser...

Jan 11 • 11:56 PM EST • Entertainment • sfchronicle.com

Nikki Glaser takes swings at CBS and Leo, goes gentle on Julia in Golden Globes monologue

Nikki Glaser opened Sunday's Golden Globes with a sharp monologue.

Jan 11 • 9:31 PM EST • Entertainment • click2houston.com

Mick Mulvaney: Fatal ICE shooting tough sell to swing voters

New video surfaced Friday showing the officer’s perspective of Wednesday’s deadly incident.

Jan 9 • 9:38 PM EST • Politics • newsnationnow.com

The Clicks co-founder explains who its tiny Communicator phone is for

Clicks is taking a swing at entering the mobile phone market.

Jan 9 • 12:00 PM EST • Technology • engadget.com

Goldman: Silver is set for continued 'extreme price swings'

Silver prices more than doubled in 2025 in its best year since 1979 thanks to Fed rate cuts, asset diversification, and a historic short squeeze.

Jan 8 • 12:52 AM EST • Business • businessinsider.com

Don't regulate modern small business tools out of reach

OPINION - Unnecessary regulations threaten the very systems that help small businesses weather seasonal economic swings. State leaders must work with small businesses and protect access to low-cost financial tools that fuel local economies statewide.

Jan 6 • 11:00 AM EST • Business • capitolweekly.net

From the Capitol to the clubhouse, a Sun-Times politics reporter took a swing at covering baseball

Covering the White Sox isn't all that different from covering Illinois politicians, Sun-Times reporter Mitchell Armentrout found.

Dec 30, 2025 • 7:30 AM EST • Politics • chicago.suntimes.com