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“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.

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A quick recap of prior events: Subnautica 2 is an unreleased, underwater survival adventure and the most-wishlisted game on Steam. Last year, longtime Unknown Worlds CEO Ted Gill, along with studio co-founders Charlie Cleveland and Max McGuire, were fired by Krafton. They swiftly sued, saying the publisher had terminated them to avoid paying out up to $250 million in potential performance-based bonuses. The studio leaders had hoped to earn that with an early access release of the game, which Krafton had blocked. The publisher argued in court that Subnautica 2 wasn’t ready, which the ousted execs disputed. On Monday, Will ruled that Krafton had violated its contract, firing the execs to avoid the performance payouts, and that it had to reinstate Gill and give him full authority over any early access release for Subnautica 2. On Tuesday, IGN reported on a new memo issued that day to Unknown Worlds staff by Steve Papoutsis, the executive Krafton had put in charge of Unknown Worlds after the 2025 firings. In the note, Papoutsis said that Subnautica 2 had passed a key development milestone “last week” and that he and Krafton had determined the game “is ready for Early Access release in May.” This news appeared to catch the lawyers for Gill, Cleveland and McGuire by surprise. On Tuesday night, they sent a letter to Will expressing “serious concerns” about whether it would be possible to forge an agreement with Krafton consistent with the judge’s order. Papoutsis’ memo was a problem, they wrote. He didn’t have the authority to declare anything about Subnautica 2’s release. As of 9am ET on Monday, March 16, the effective date of Will’s order, Papoutsis wasn’t CEO of Unknown Worlds. Gill was. And, per Will’s order, only Gill could make Subnautica 2 release decisions. They continued: Krafton self-servingly announced the launch without any regard to its impact on the game, the team, or the community—let alone this Court’s Opinion. Announcing the release of a game is momentous, and it is typically accompanied by significant marketing activity, fanfare, and community coordination. And most importantly, the announcement is carefully designed to maximize excitement for the game. That entire process was supposed to be driven by Mr. Gill. However, in defiance of the Court’s Opinion, Krafton has now taken that away, further damaging the game and sowing additional confusion among the Subnautica community. The lawyers speculated that Krafton had “intentionally leaked” Papoutsis’ memo and then issued an official statement to confirm the leak. Game File is a reader-supported publication. My reporting is only possible through support from readers like you. To support my work, consider becoming a free or paid subscriber. Subscribe On Wednesday, lawyers for Krafton defended their client in their own letter to vice chancellor Will, saying nothing they did violated her order nor showed contempt: Papoutsis’s message was simply celebrating the UW employees’ efforts toward a past event: Krafton’s pre-Opinion determination that Subnautica 2 was ready for Early Access release. There was nothing improper about conveying the results of the milestone review or thanking the development team for their dedication and talent. They added that Gill could still make his own call about Subnautica 2’s release: In his role as CEO, Gill will be able to assess independently his views on the state of Subnautica 2 and the appropriate release schedule; nothing in Papoutsis’s message alters Gill’s authority or discretion. Vice chancellor Will has not responded to the letters and doesn’t necessarily have to. Both parties were previously ordered by Will to confer this week and submit a proposed judgment consistent with her ruling. The letter from Gill’s attorney’s this week doesn’t indicate whether he would or would not support a May release for Subnautica 2. But it could limit his options. And, if Gill’s lawyers are right, the lack of marketing fanfare around the leak of the May date could dull the launch of the game. Any harm to Subnautica 2’s launch is an extra sensitive issue given the context of the legal dispute: millions of dollars of payouts are on the line, tethered to the scale of the game’s initial performance. In her ruling on Monday, Will noted that there was obvious “bad blood” between Gill’s side and Krafton but that the two would need to work together: “They can—and must—act in good faith to navigate their remaining contractual relationship.” Item 2: A new kind of couch co-op game A highlight of GDC each year is the Alt.Ctrl showcase that features games played with extremely experimental controllers. Perusing this year’s offerings last Friday, I found a game controlled with giant scissors, another with big toothbrushes and one that amounted to dumpster diving. My favorite was Pivot, a co-op game about collectively maneuvering a couch. It was developed by students at the University of Utah’s masters of arts and engineering games program. Players lift and tilt the physical couch in order to control the position of a virtual one. That virtual one is moving through an obstacle course on-screen, while being pursued by a giant skull. Developer Nishant Verma told me at GDC that the couch is made of styrofoam (this became more evident as I watched!) and that the name was a riff on an episode of the sitcom Friends. Item 3: In brief… 🚫 Ubisoft is laying off more than 100 workers at its Red Storm studio, as the North Carolina location known for decades for its Tom Clancy games, ceases in-house game development, VGC reports. 👀 On Monday, Nvidia’s revealed its DLSS 5 AI-driven graphics technology that purports to improve game graphics… and it has been roasted about it by the media and the online gaming public for the remainder of the week. The tech changed the faces of characters in footage from Resident Evil Requiem, Hogwarts Legacy and EA Sports FC, drawing accusations of giving carefully art-directed games the generic look of AI “slop.” Nvidia CEO Jensen Huang had said on Monday that “DLSS 5 is the GPT moment for graphics—blending handcrafted rendering with generative AI to deliver a dramatic leap in visual realism while preserving the control artists need for creative expression.” By mid-week, Huang was telling Tom’s Hardware that the new tech’s critics were “completely wrong” because game-makers could still “fine-tune the generative AI” to suit their game’s aesthetics.

Mar 19 • 5:28 PM EDT • Technology • gamefile.news

Recreation, entertainment top Foy Ranch wish list

By JUNO OGLE Daily Press Staff Outdoor recreation and entertainment were the top two results from a recent survey seeking input on what the city of Bayard could do with the 675 acres of the Foy Ranch it purchased last year — but finding out exactly what that means to people was the object of a public visioning workshop held Tuesday. “Outdoor recreation is kind of a catch-all, and we’d...

Mar 19 • 3:00 PM EDT • Entertainment • scdailypress.com

Gavin Adcock ‘The Day I Hang It Up Tour’ includes two Alabama shows: Act fast and secure your tickets

Fans can catch Adcock at popular venues in Orange Beach and Birmingham later this year.

Mar 18 • 11:24 AM EDT • Entertainment • al.com

NASA’s Hubble Unexpectedly Catches Comet Breaking Up

NASA’s Hubble Space Telescope witnessed comet K1, whose full name is C/2025 K1 (ATLAS), in the act of breaking apart.

Mar 18 • 10:00 AM EDT • Science • science.nasa.gov

Nasal Swab Test Spots Early Alzheimer’s Signals

DURHAM, N.C. – Alzheimer’s disease affects millions of people worldwide, yet the illness is hardest to catch at the very beginning, when new treatments may work best.In a new study, Duke Health researchers show that a quick, outpatient nasal swab can pick up early biological changes linked to Alzheimer’s, even before thinking and memory problems appear.

Mar 18 • 5:00 AM EDT • Health • corporate.dukehealth.org

11Alive

WXIA (Atlanta) — 11Alive is your source for breaking news, Georgia weather, traffic, and live coverage in Atlanta and across the metro area. Get the latest updates from the 11Alive team — from major local headlines and investigations to severe weather, community stories, and the moments everyone’s talking about. Watch live newscasts, stream breaking coverage, and catch up on the top stories shaping Atlanta, Marietta, Sandy Springs, Decatur, and surrounding communities. Subscribe for: • Atlanta breaking news + live updates • Georgia weather forecasts, storms, and severe weather alerts • Investigations and accountability reporting • Community stories across the metro area • Major events, sports, and local explainers WXIA / 11Alive — Atlanta news and weather, live and on demand. 🔗 More: https://www.11alive.com

Mar 17 • 6:46 PM EDT • Entertainment • youtube.com

State lawmakers playing catch-up on guardrails as AI, big tech pushes into Louisiana

With several massive data centers coming to Louisiana, artificial intelligence is on many lawmakers’ minds. As of press time, they’d brought two dozen bills, most trying to carve out some protections for people as the technology rapidly proliferates and changes life as we know it.

Mar 17 • 9:00 AM EDT • Politics • nola.com

WKYC Channel 3

WKYC (Cleveland) is your source for breaking news, Northeast Ohio weather, traffic, and live coverage in Cleveland and across the region. Get the latest updates from the WKYC team — from major local headlines and investigations to severe weather, community stories, and the moments everyone’s talking about. Watch live newscasts, stream breaking coverage, and catch up on the top stories shaping Cleveland, Akron, Canton, and surrounding communities. Subscribe for: • Cleveland breaking news + live updates • Northeast Ohio weather forecasts and severe weather alerts • Investigations and accountability reporting • Community stories across the region • Major events, sports, and local explainers WKYC — Cleveland news and weather, live and on demand. 🔗 More: https://www.wkyc.com/

Mar 16 • 5:14 PM EDT • Health • youtube.com

Pens Points: Malkin returns as Penguins brace for an Avalanche

Catch up on some of the latest hockey headlines in today’s Pens Points.

Mar 16 • 6:00 AM EDT • Sports • sports.yahoo.com

wbc315

Catching up on all day's action from the World Baseball Classic.

Mar 15 • 10:30 PM EDT • Sports • foxsports.com

The art and science of Robbie Ray’s grunts: ‘It’s an edge’

The Giants left-hander makes a sound after every pitch, but catcher Patrick Bailey says, “I don’t think he cares what other people think about him.”

Mar 15 • 9:00 AM EDT • Science • sfstandard.com

Tinkatink Community Day April 2026: Shiny Odds, Bonuses & Gigaton Hammer Tinkaton

Trainers, get hyped! The next Community Day of 2026 stars Tinkatink, the Metal Hammer Pokémon! Join the event on Saturday, April 11, 2026, from 2:00 p.m. to 5:00 p.m. local time to enjoy 2x catch Candy, increased Tinkatink spawns, and a chance to encounter Shiny Tinkatink. Evolve Tinkatuff during the event—or up to four hours […]

Mar 15 • 3:11 AM EDT • Technology • pokemongohub.net

Business Bulletin: Stone Hill appoints; Kutis gives; CMT celebrates

Catch up on local business awards, expansions and milestones.

Mar 15 • 1:00 AM EDT • Business • stltoday.com

Linux Finally Catches Up to Windows with a Game-Changing Performance Feature

For years, the Linux kernel’s scheduler has been world‑class at balancing loads, yet it missed a crucial, cache‑aware instinct. In modern multi‑core systems, that gap can turn into measurable latency, especially when threads bounce between cores that don’t share the same cache. A new upstream feature, often called Cache Aware Scheduling, is now set to change that equation. A cache‑savvy scheduler arrives At the heart of any OS, the scheduler decides which thread runs where and for how long. In modern CPUs, small private caches (L1 and L2) sit beside each core, while a larger Last Level Cache (LLC, typically L3) is shared among groups of cores. When a task migrates across LLC boundaries, its warm data may vanish from the cache, forcing slower trips to main memory. Cache Aware Scheduling keeps related tasks close to their shared LLC, reducing destructive migrations. By respecting cache topology, the kernel minimizes cold‑start penalties and preserves locality that many workloads desperately need. The result is less thrashing, fewer memory stalls, and more consistent throughput. "Keep tasks close to their data, and the system will keep performance close to its peak." Why this narrows the Windows gap Windows has long leaned on topology‑aware, cache‑sensitive heuristics, especially since the Windows 10 era. That advantage helped Microsoft handle hybrid designs with P‑cores and E‑cores, plus complex cluster and NUMA layouts. With cache awareness integrated upstream, Linux brings parity to this vital dimension, without sacrificing its trademark flexibility. The Linux approach remains deeply configurable, reflecting the ecosystem’s breadth across servers, desktops, and embedded devices. It layers atop existing NUMA‑balancing and energy‑aware logic, refining placement rather than reinventing the wheel. Crucially, it aligns scheduling with the hardware’s real shape, not just with abstract CPU counts. Real‑world gains and who benefits Early tests on Intel Sapphire Rapids platforms point to gains in the 30–45% range for select workloads. Those wins appear in cache‑sensitive tasks like in‑memory analytics, high‑thread compilation, and microservices with tight working‑sets. Games and latency‑bound engines can also feel steadier frame‑times, especially when threads share hot assets. The benefits extend to AMD’s 3D V‑Cache parts, where keeping threads near enlarged cache slices prevents needless misses. Hybrid x86 designs with performance and efficiency cores further profit when cache and core roles are scheduled in concert. Even handhelds running SteamOS can squeeze more out of limited power, translating cache locality into smoother play. Key advantages include: Lower end‑to‑end latency Fewer expensive misses to RAM Better multi‑socket and NUMA behavior Improved energy efficiency More predictable QoS under mixed loads Stronger scaling on dense servers Caveats, tuning, and rollout No scheduler change is purely free, and trade‑offs still exist. Favoring locality can reduce cross‑cluster balance if limits are set too tight. Likewise, fairness and utilization must remain healthy, especially under heterogeneous, bursty workloads. Linux’s implementation is designed to be measured and tunable, not a blunt instrument. It cooperates with energy‑aware scheduling for mobile efficiency, and with NUMA‑balancers on big iron. Expect architecture‑specific refinements as vendors surface richer topology hints and cache‑sharing maps. Upstream integration has begun, with broad distribution adoption likely over the next cycles. Many users will encounter the change through standard kernel updates in 2025–2026, depending on distro cadence. Server‑class kernels may enable or tune it sooner for targeted fleets where cache locality is money in the bank. How to think about performance impact Cache Aware Scheduling amplifies gains when your workload is both CPU‑bound and cache‑sensitive. Think tight inner loops, hot code paths, and datasets that fit snugly in shared LLC. It’s less dramatic for I/O‑bound services or memory‑hungry tasks that blow past cache capacity. Still, even modest locality improvements often translate into smoother tail‑latency, which is where user experience and SLAs typically break. Developers can further help by pinning related threads, batching work, and aligning data to reduce cross‑cluster chatter. The scheduler’s new awareness works best when applications expose good hints. The bottom line By understanding and honoring cache topology, Linux removes a subtle yet costly bottleneck. The kernel’s smarter placement keeps hot data hot and work near where it belongs. That narrows a long‑standing gap with Windows, while preserving the openness and tunability Linux champions. For gamers, creators, and operators, the payoff is practical: more consistent frames, faster builds, and snappier services. For the ecosystem, it’s another step toward hardware‑savvy scheduling that turns transistor complexity into real‑world speed. And for Linux itself, it’s a timely upgrade that matches today’s silicon with tomorrow’s expectations.

Mar 14 • 8:00 AM EDT • Technology • iowaparkleader.com

WBC: USA advances to semis, Shohei Ohtani builds up pitching

The United States advanced to the semifinals of the World Baseball Classic with a 5-3 win over Canada at Daikin Park in Houston on Friday night. Will Smith, who has been splitting catching duties with Cal Raleigh, did not play on Friday. Clayton Kershaw did not pitch in any of the first five games of […]

Mar 13 • 11:04 PM EDT • Sports • sports.yahoo.com

9NEWS

KUSA (9NEWS Denver) is your source for breaking news, Colorado weather, traffic, and live coverage in Denver and across the Front Range. Get the latest updates from the 9NEWS team -- from major local headlines and investigations to severe weather, community stories and the moments everyone’s talking about. Watch live newscasts, stream breaking coverage and catch up on the top stories shaping Denver, Boulder, Aurora, Fort Collins and all of Colorado. Subscribe for: • Denver breaking news + live updates • Colorado weather forecasts, snowstorms and severe weather alerts • Investigations and accountability reporting • Community stories across the Front Range • Major events, sports and local explainers KUSA / 9NEWS Denver -- Colorado news and weather, live and on demand. 🔗 More: https://www.9news.com

Mar 12 • 6:41 PM EDT • Sports • youtube.com

Should Jackson offer rewards for catching business burglars?

A proposal to offer up to $2,500 for arrests and convictions tied to two Jackson business burglaries sparked debate at the Jackson City Council.

Mar 12 • 10:35 AM EDT • Business • yahoo.com

Exercise and brain function, hedgehog hearing, and can AI change our minds?

The Guardian’s science editor, Ian Sample, talks to Madeleine Finlay about three eye-catching science stories from the week

Mar 12 • 1:00 AM EDT • Science • theguardian.com

WBC Daily: A Historic Loss For Cuba; Canada Reaches Quarterfinals

Catching up on all day's action from the World Baseball Classic.

Mar 11 • 7:49 PM EDT • Sports • foxsports.com

Get to know Aaron Parnas – the liberal social media star making waves

At 26, Aaron Parnas has built a 7.5‑million‑follower audience delivering news with his catchphrase, “We have some news right now.”

Mar 10 • 4:58 AM EDT • Politics • usatoday.com

I tried the new Studio Display XDR and it’s Apple’s most impressive (and brightest) monitor yet — but there’s a catch

Almost the upgrade we were waiting for

Mar 9 • 4:00 PM EDT • Technology • tomsguide.com

Nuggets vs. Thunder: Is Monday Nikola Jokic's last chance to catch Shai Gilgeous-Alexander in NBA MVP race?

We have an NBA MVP duel tonight with Nikola Jokic and the Nuggets visiting Shai Gilgeous-Alexander and the Thunder.

Mar 9 • 11:04 AM EDT • Sports • cbssports.com

Samsung Galaxy S26 Ultra shows camera improvements compared to S25 Ultra, can't catch up to Apple iPhone 17 Pro

On paper, the Samsung Galaxy S26 Ultra has only received a few camera upgrades. An initial comparison by DxOMark now shows that Samsung was able to drastically improve the image quality in certain scenarios, but the camera system of the Galaxy S26 Ultra is not completely free of problems.

Mar 8 • 2:32 PM EDT • Technology • notebookcheck.net

I Just Realized Why I Recognize '56 Days' Star Karla Souza & I Can't Believe I Didn't Catch it Sooner

Prime Video’s '56 Days' features a familiar face but it took a few episodes to realize she starred in one of TV’s biggest legal dramas. Get all the details here.

Mar 8 • 9:00 AM EDT • Entertainment • purewow.com

WUSA9

WUSA9 (Washington, D.C.) is your source for breaking news, D.C. area weather, traffic, and live coverage in the nation’s capital and surrounding communities. Get the latest updates from the WUSA9 team — from major local headlines and investigations to severe weather, community stories, and the moments everyone’s talking about. Watch live newscasts, stream breaking coverage, and catch up on the top stories shaping Washington, D.C., Northern Virginia, and suburban Maryland. Subscribe for: • D.C. area breaking news + live updates • Weather forecasts and severe weather alerts • Investigations and accountability reporting • Community stories across the region • Major events, sports, and local explainers WUSA9 — Washington, D.C. news and weather, live and on demand. 🔗 More: https://www.wusa9.com 🔗 Stream on your TV: https://www.tv.wusa9.com

Mar 7 • 11:28 PM EST • Science • youtube.com

MLB Network projects Nationals 2026 starter at first base, catcher

Mar 7 • 4:29 AM EST • Sports • sports.yahoo.com

Texas catches federal suit for dismantling diversity-related business contract program

Mar 6 • 8:24 PM EST • Business • yahoo.com