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This simple change stops robot swarms from getting stuck
In crowded environments, more robots don’t always mean faster results—in fact, too many can bring everything to a standstill. Harvard researchers discovered a surprising fix: adding a bit of randomness to how robots move can actually prevent gridlock and boost efficiency. By allowing robots to “wiggle” slightly instead of marching in straight lines, they can slip past each other and keep tasks flowing smoothly.
NFL Draft in Pittsburgh expected to boost business in nearby Weirton
The NFL draft will take over the city of Pittsburgh next week, with hundreds of thousands of visitors expected in town for the event.While the bulk of the actio
Maryland Gov. Wes Moore falls short in bid to redraw congressional map to boost Democrats
A proposal for a new Maryland congressional map has officially died with the conclusion of the state's legislative session.
Democrats line up to run in Virginia congressional districts, even before voters approve them
Virginia voters are set to decide next week on a Democratic-drawn redistricting plan that could boost the party's chances in the U.S. House | TALK 980am
The Economic Case for Health
The Economic Case for Health shows how better health supports jobs, boosts productivity and drives growth — making it a smart investment for Kansas’ economy.
Tulsa, OKC business leaders unite for first joint Washington, D.C. trip
Business leaders from across Oklahoma are heading to the nation's capitol this week to advocate for a shared legislative agenda aimed at boosting economic development across the state.
Novo Nordisk CEO: This is where science meets speed and scale
Maziar Mike Doustdar, CEO of Novo Nordisk, says AI partnership with OpenAI will speed drug discovery and delivery, boost accuracy and strengthen confidence in Wegovy despite rising competition.
The Pixel 10 is getting a major security boost you'll never actually see
Google is bringing memory-safe Rust code to the Pixel 10 modem to protect users from remote hacking and memory-safety vulnerabilities.
Opinion: 3 things Democrats should do to support small business in CT
New Haven's Caroline Tanbee Smith outlines 3 pillars of strategy to boost small business in Connecticut.
Gov. Wes Moore falls short in push to redraw Maryland's congressional map to boost Democrats
A proposal for a new Maryland congressional map has officially died with the conclusion of the state’s legislative session
Laughlin entertainment scene draws tourists
Laughlin’s tourism growth is getting a boost from an entertainment lineup that’s drawing visitors from across the region, with big-name concerts, revived specia
Scientists finally know where the Colorado River’s missing water is going
For years, water managers have been puzzled as the Colorado River kept delivering less water than expected—even when snowpack levels looked promising. New research reveals the missing piece: spring rain, or rather, the lack of it. Warmer, drier springs mean plants are soaking up more snowmelt before it can reach rivers, fueled by sunny skies that boost growth and evaporation. In fact, this shift explains nearly 70% of the shortfall, tying the mystery directly to the long-running Millennium drought.
Opening of Hercules Park spurring growth of business in area
A local park is helping contribute to business growth. Hercules Park opened in March last year, marking the city’s first public park to open in 40 years. Investment in the city’s parks is coinciding with its growth.
Thunder Over Louisville returns Saturday after 2025 cancellation, bringing crowds and business boost
After being canceled last year because of flooding, Thunder Over Louisville is back this weekend, and organizers expect a major turnout.
'We knew we had to act': Great Salt Lake gets $30M boost from business community
Three prominent families with Utah ties pledged a combined $30 million toward efforts to boost Great Salt Lake levels, as the lake faces impacts from a record-low snowpack.
White House says it’s boosting affordability through physician reforms
A new report distills the Trump administration’s strategy as officials jockey to shape health care messages ahead of this year’s midterm elections.
Scientists are trying to build a vaccine that works against almost any respiratory pathogen — here's how close they are.
A nasal spray in mice boosted lung immunity against viruses, bacteria and allergens — but a truly universal vaccine is still years away.
Lee Health: Volunteers make a difference every day
From boosted moods and happiness to a deep sense of accomplishment and purpose, volunteering offers countless benefits to those who give their time.
Can red light therapy really deliver a beauty and health glow up? Here's the science
Wellness influencers tout the therapy's power for everything from rejuvenating skin and hair to boosting longevity. Devices sold for at-home use abound. We look at the evidence behind the hype.
Can red light therapy really deliver a beauty and health glow up? Here's the science
Wellness influencers tout the therapy's power for everything from rejuvenating skin and hair to boosting longevity. Devices sold for at-home use abound. We look at the evidence behind the hype.
Can red light therapy really deliver a beauty and health glow up? Here's the science
Wellness influencers tout the therapy's power for everything from rejuvenating skin and hair to boosting longevity. Devices sold for at-home use abound. We look at the evidence behind the hype.
Get a Pokémon TCG: <em>Mega Evolution—Chaos Rising</em> Build & Battle Box Early
Open booster packs from a Mega Evolution—Chaos Rising Build & Battle Box at a Prerelease event near you.
Dons boss Robinson will not relax until safety is secured
Stephen Robinson does not want Aberdeen to relax during their two-week break after they recorded a much-needed 2-0 win over Hibernian to boost their William Hill Premiership survival hopes. Kevin Nisbet netted from the penalty spot after Grant Hanley was sent off for hauling down Toyosi Olusanya and the Scotland striker added a second with 15 minutes to go to end a nine-match winless league run. The Dons are five points above Kilmarnock, who sit in the relegation play-off spot with five games to play, and the two teams clash at Pittodrie in the next round of Premiership fixtures which does not take place until April 25.
'Steve Witkoff, Trump's favorite negotiator, boosts his business more than peace'
COLUMN. The billionaire's fortune has risen by 15% since Donald Trump appointed him special envoy for peace, historian Jean-Pierre Filiu observes in his column.
Bird brain: New study finds birdwatching may boost brain health, slow cognitive aging
A simple look out the window at your favorite bird could do more than brighten the day. In fact, according to a recent study, it may help keep the brain sharp.
Hacking women's political underrepresentation, Dutch-style
Some 504 women were elected in recent Dutch local elections, with a "Vote for a Woman" campaign boosting their chances to gather preferential votes. Despite the record figure, women remain underrepresented.
How to Reclaim Your Android's Original Speed in Under 10 Minutes
Your Android is capable of a massive speed boost, and it's time you took advantage of it.
UK’s Reeves to Set Out Plans to Help Business With Energy Bills
The UK government will set out plans to boost the competitiveness of businesses at a time of rising energy bills, Chancellor of the Exchequer Rachel Reeves said, while warning against heavy government borrowing.
Ex-Tesla president mimicked Domino's pizza ordering to boost car sales
A former Tesla boss said he and Elon Musk spotted a problem with the carmaker's website. They turned to Domino's for inspiration.
RDC Hosts Free Business Booster Workshop And Intensive Networking Lunch April 14 At SALA
Visit the post for more.
Sun ’n Fun returns, boosting local businesses and adding shuttle service
The vice president of the Aerospace Center for Excellence says the airshow generates more than $60 million for Central Florida.
“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.
Blake Dowling: Delilah app aims to simplify legislation, boost civic engagement
People in The Process: Legislation? There is an app for that; meet Joseph Visconti and Delilah.
The Connection Between Food and Mood
There's a strong link between foods you eat and your mood. Here's what to include and what to limit in your diet.
Broncos owners buy 40 percent stake in Rockies, providing financial boost to MLB team
Penner Sports Group will be the largest minority partner in the Rockies organization.
Trump endorsed former Fox host. It could tip balance in this CA race.
Does Trump's backing of former Fox News host Steve Hilton for California governor boost the leading GOP candidate chances? Experts don't think so.
Wendy Loretto Takes Helm at Glasgow’s Adam Smith Business School With Global Ambitions
Wendy Loretto becomes head of Glasgow’s Adam Smith Business School, outlining plans to boost global visibility, expand partnerships, and shape the future of business education.
Estrogen patch shortages are getting worse and could last for years
A spokesperson for the FDA said the agency is coordinating with companies to support efforts to boost the supply of patches for women with menopause symptoms.
Accenture acquires Spain-based Keepler to boost AI and data business
The IT service provider says it aims to expand its capabilities to help clients reinvent core business processes.
Masters Week brings business boost to Midlands golf courses
Masters Week is underway in Georgia, and the tournament is bringing business to Midlands golf courses.
Zeeland restaurant sees business boost after Sunday alcohol sales allowed
For decades, Zeeland prohibited alcohol sales on Sundays. That changed a few months ago, and one business, The Gritzmaker Social House, said the new ordinance is paying off.
Scientists discover spice synergy that boosts anti-inflammation 100x
Chronic inflammation often works quietly in the background but can fuel serious diseases like diabetes, heart disease, and cancer. New research reveals that everyday plant compounds—like menthol from mint, cineole from eucalyptus, and capsaicin from chili peppers—can team up inside immune cells to dramatically boost their anti-inflammatory power. While individual compounds showed modest effects, certain combinations amplified results hundreds of times over by activating different cellular pathways at once.
Scientists discover spice synergy that boosts anti-inflammation 100x
Chronic inflammation often works quietly in the background but can fuel serious diseases like diabetes, heart disease, and cancer. New research reveals that everyday plant compounds—like menthol from mint, cineole from eucalyptus, and capsaicin from chili peppers—can team up inside immune cells to dramatically boost their anti-inflammatory power. While individual compounds showed modest effects, certain combinations amplified results hundreds of times over by activating different cellular pathways at once.
Greg Gutfeld: Democrats deemed health and fitness ‘problematic’
‘The Five’ co-hosts analyze HHS Secretary Robert F. Kennedy Jr.’s midterm travel push to boost support for the ‘Make America Healthy Again’ initiative.
Detroit hiring retail director to boost stores in neighborhood business districts
Jeffrey Lewis II opened Morningside Cafe on Detroit’s east side three years ago and said he has seen growing momentum along East Warren Avenue.
5 Questions with Public Health Senior Ammad Hasan
The Class of 2026 graduate works to boost heart health, with a legacy that will endure on the Forty Acres.
Lieutenant Gov. Kim Driscoll boosts economy at Springfield business roundtable
A small business roundtable convened Tuesday in Springfield, bringing together local business owners and state leaders to discuss the challenges facing the region’s economy.
Cyberpunk 2077 gets a free PS5 Pro upgrade today that brings PSSR and better ray tracing options
After denying it would happen initially, CD Projekt Red has just dropped a PS5 Pro patch for Cyberpunk 2077 that includes PSSR-boosted resolution and better RT.
Liverpool receive sensational Yan Diomande transfer boost
Barcelona drop out of Diomande raceA report from Spain via Sport Witness now suggests that Liverpool will have one less rival bid to worry about this summer. Barcelona did their due diligence on Dioma...
Accenture Acquires Keepler to Boost Its AI and Data Business in Spain
Accenture has acquired Keepler Data Tech, a Spanish cloud-native AI and data company.
To Boost Military Budget, Trump Targets Popular Programs at Home
Amid the war with Iran, the president has proposed to scale back some of the very programs meant to ease families’ financial burdens.
'Morale boost': NASA carries out Moon mission during tough year for science
As the four Artemis astronauts approached a high point of their lunar mission -- getting slung around the far side of the Moon -- NASA staffers crowded into Houston's famed mission control room Monday...
One Sleep Habit Could Boost Your Heart Health, Study Suggests
A clear message.
One Sleep Habit Could Boost Your Heart Health, Study Suggests
A clear message.
US health insurance shares jump as Trump administration boosts Medicare payments
UnitedHealth and Humana shares jump as subsidies for certain healthcare programmes to rise more than initially proposed
Trump administration finalizes better-than-feared Medicare Advantage payment rate in boost to health insurers
The Trump administration will increase average Medicare Advantage payments by 2.48%, or more than $13 billion, in 2027.
6 side hustle businesses you can start with $0
While a side hustle can be a great way to start a business or boost your income, many options do have start-up costs.
U.S. service sector cools in March, inflation heating up amid Iran war
The U.S.-Israeli war with Iran has boosted global oil prices by more than 50%
Capital Resources taps former Josie Tomkow staffer Makayla Paggio to boost fundraising operations
'Her maturity and work ethic served me well, and will be a huge addition to Capital Resources.'
3 injured Arsenal stars return to training ahead of Sporting
Arsenal have received a timely boost ahead of the trip to Sporting, with three senior players back in training.Photo by James Fearn/Getty ImagesOne of the main talking points over the international br...
Scientists may have found a way to keep your bones strong for life
Scientists have identified a little-known receptor, GPR133, as a powerful regulator of bone strength. By activating it with a newly discovered compound called AP503, they were able to boost bone density in mice and counteract osteoporosis-like damage. The finding opens the door to a new kind of treatment that could not only prevent bone loss but also rebuild weakened bones, offering fresh hope for millions affected by osteoporosis, especially aging populations.
I'm still betting on AI after it shrank my business and staff
A marketing CEO of 17 years says AI boosted productivity but cut demand, forced layoffs, and changed pricing.
Want to improve your memory? The right type of exercise can give it a boost
A brief bout of physical exercise can create "ripples" of activity in your brain that help you store and retrieve memories.
Greens powders are booming. But do they really work?
Superfood powders have become a key part of wellness routines, marketed as an easy way to boost energy, promote gut health, and get your daily nutrients. But nutritionists said the benefits of these supplements are largely unproven.
How simple choices boost health after 50
A mostly plant-based diet with healthy proteins and fats can help you thrive as you age.
Thailand plans reforms to boost growth and cut business costs, PM draft statement says
Thailand will pursue broad economic and administrative reforms, aim for faster growth and cut business costs through the use of technology, according to a draft policy statement set to be delivered by the prime minister later this week.
AI breakthrough cuts energy use by 100x while boosting accuracy
AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, researchers have unveiled a radically more efficient approach that could slash AI energy use by up to 100× while actually improving accuracy. By combining neural networks with human-like symbolic reasoning, their system helps robots think more logically instead of relying on brute-force trial and error.
Connecticut bars getting business boost from UConn basketball tournament runs
The UConn men’s basketball team run to the national championship is also bringing a lot of customers to local bars across Connecticut for watch parties. “We had the audio running and everything and as soon as the final buzzer hit, everyone was going crazy. We had a nice little UConn chant going at the end,” Yash Ramchandani, whose family owns…
Vikings' J.J. McCarthy gets QB1 confidence boost from former teammate
McCarthy's teammate has all the confidence that he'll prove people wrong.
Saturday stop in Swamp boosts Florida in Andrew Beard's recruitment
After a visit with Florida in the Swamp on Saturday, 4-star running back Andrew Beard is becoming more bullish on the Gators.
Republicans who want to opt out of Colorado’s primaries get major boost from federal judge’s ruling
The judge ruled the requirement that 75% of the Colorado GOP or the Colorado Democratic Party must support opting out of the primaries before it can happen “constitutes a severe burden on the major parties’ right to association and is therefore unconstitutional."
Scientists trap light in a layer 1,000x thinner than hair
Researchers have created a nanoscale structure that traps infrared light in a layer just 40 nanometers thick—over 1,000 times thinner than a human hair. By using a unique material with exceptional light-bending properties, they can confine and intensify light far beyond previous limits. This setup also dramatically boosts light conversion effects, turning infrared into visible blue light. The advance could pave the way for smaller, faster photonic technologies.
Small Business Workshop on Social Media Marketing
If you’ve boosted posts and gotten little to no results, you’re not alone.
New mentorship training aims to boost student mental health support at South Dakota Mines
South Dakota Mines launched a state-funded pilot to expand Peer2Peer mentorship through fraternities and sororities, training students to support peers’ mental health.
I took over 200 photos with Galaxy S26 Ultra vs. Galaxy S25 Ultra
A surprisingly big boost in performance
2026 NFL Mock Draft: Cincinnati Bengals boost offensive line
With the 10th overall pick in the 2026 Bleeding Green Nation community mock draft, Cincinnati Bengals GM chuckelberryfinn selects ...
MXene breakthrough boosts conductivity 160x with perfect atomic order
A new breakthrough is transforming MXenes—ultra-thin, high-tech materials—into something far more powerful and precise. Researchers have developed a cleaner, more controlled way to build these materials using molten salts and iodine, eliminating the messy chemical processes that once left their surfaces disordered. The result is a perfectly arranged atomic structure that lets electrons flow with remarkable ease, boosting conductivity by up to 160 times.
DC Wrap: 2 U.S. planes go down in Mideast; Trump proposes defense spending boost
A look at the day's biggest stories in national politics
DC Wrap: 2 U.S. planes go down in Mideast; Trump proposes defense spending boost
A look at the day's biggest stories in national politics
Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
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