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A sports blitz starts tonight, plus a WNBA Draft surprise
Good morning! I hope your TV is in working order. Coming up: 📆 A busy stretch begins 1️⃣ Dallas’ surprise at No. 1 🏆 Rory’s family win Up First: The NBA leads off a brilliant spring One of the busiest stretches of important pro sporting events begins tonight, and I mean that in quite a positive way. The NBA playoffs tip off in a few hours, with two Play-In games. This weekend, the NHL playoffs will join. Both sports will crown winners by the third week of June … which is when the World Cup will
A sports blitz starts tonight, plus a WNBA Draft surprise
The Pulse Newsletter 📣 | This is The Athletic’s daily sports newsletter. Sign up here to receive The Pulse directly in your inbox. Good morning! I hope your TV is in working order. Coming up: 📆 A busy stretch begins 1️⃣ Dallas’ surprise at No. 1 🏆 Rory’s family win One of the busiest stretches of important pro sporting events begins tonight, and I mean that in quite a positive way. The NBA playoffs tip off in a few hours, with two Play-In games. This weekend, the NHL playoffs will join. Both sports will crown winners by the third week of June … which is when the...
Tap THC beverage tax to address budget gap
By Christine Lafferty Colorado is faced with the largest budget deficit in recent memory — calculated to be a $1.5 billion hole according to the state’s Joint Budget Committee. Legislators have been scrambling to address this gap, which signals massive cuts to important state services such as education, climate management, and health care. It’s time for […]
NOAA Fisheries report highlights severe economic decline in Gulf shrimp fishery
NOAA Fisheries reveals a sharp and ongoing economic decline in the U.S. Gulf shrimp fishery, underscoring growing challenges for one of the nation’s historically important seafood industries.
Consumer Reports: Keeping your kids in the game
Consumer Reports has some important advice for parents on how to help prevent common and often avoidable sports injuries.
Arctic marine science exhibition opens in Anchorage on May 15
The exhibition will include how communities and western scientists are working together, how all life in the water impacts the health of ecosystems, the importance of science communications, and intricacies of the research vessel itself.
How California Can Improve Access to Mental Health Services | Pomona College in Claremont, California
Professor Sara Masland examines existing barriers to accessing mental health services, the risks associated with using AI as a therapist and the importance of early intervention in the state’s new Mental Health for All initiative.
Swalwell’s Fall Punctuates Woes of Democrats in California, of All Places
Democrats have struggled to find a candidate for governor who can capture the imagination of voters in one of their most important strongholds.
Grinnell College sports social media teams bring the game online
DJ Damazo, assistant men’s basketball coach, said that about three years ago, the basketball team didn’t have a social media page at all. “I thought we were missing out on a chance to market our program to other students at Grinnell and probably, more importantly, like recruits,” Damazo said. Damazo decided to find students to...
Mid-America Science Museum opening interactive dinosaur exhibit April 25
Dinosaurs will return to Mid-America Science Museum starting April 25 with the exhibit "Expedition: Dinosaur."
🥐Champions week, Liga hangover... Monday's 5️⃣ stories
It’s a key week and one of the most important of the year because of everything at stake, and the news is clear. No Mbappé two days before MunichWith still two days to go before the battle at the A...
Business Briefs April 13, 2025: Business news in the Berkshires and beyond
In light of current events, Greylock’s leadership recognized the importance of awarding funds to organizations dedicated to providing human services.
Times Opinion: Let’s expel toxic right-wing politics from the Hamilton County Board of Education
Within national politics, we are living in a world dominated by a toxic political environment. While that is severely toned down at the local level, it does seep through into one realm: our schools.
From LLMs to hallucinations, here's a simple guide to common AI terms
The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
Green Powered Challenge: Solar Powered Pi Hosts Websites In RAM
If you started with computers early enough, you’ll remember the importance of the RAMdisk concept: without a hard drive and with floppies slow and swapping constantly, everything had to live …
Joe Gibbs shows family's importance in Victory Lane
Joe Gibbs stresses the importance of God and family before he's happily interrupted by his grandson, race winner Ty Gibbs, in Victory Lane.
The most important Democratic health care debate is raging again
Single payer is getting a second wind.
Business People
Ann Bordelon is joining the planned STEM university backed by members of the Walton family as vice president of finance and administration.
Reconnecting with friends is more important than politics
The original text on the group thread read "Good morning fellas." The originator aspired to gather a number of us who were, and remain, good friends from high school for a ski trip. We'd be based out of his cabin on an alpine lake in Colorado.
Let’s all go to the science fair
“While participation was down this year, I believe the changes in the judging and awards element allowed us to focus on the most important things which were the students and their projects,” said Sara Milner, pre-K through fifth grade curriculum supervisor for Duxbury Public Schools. “We wanted the event to be about showcasing the students’
Atlanta Braves’ Walt Weiss Shares Spencer Strider Injury Update
Spencer Strider received an important update on Saturday.
Arkansas legislators seek input from health care professionals to help inform policy
FAYETTEVILLE -- Health care workers are the foot soldiers in the battle to improve care in Arkansas, and legislators need their input to make sure state policies and programs are having the most impact, according to state Rep. Aaron Pilkington.
Seniors: Dennis Ouellette, 80
Ontario Orchards owner not slowing down as he grows his farm market By Stefan Yablonski The seeds for Dennis Ouellette’s career path were sown when he was 6 years old — and he isn’t slowing down. “Since age 6, I grew up an agriculturalist. That is 72 years. Started out with a 37-acre farm when I bought it from my parents and built it up to almost 300 acres. Brought it back down to around 200 acres now,” he said. The location of his business was just a barn, a horse barn, he said. “In 1967, it officially became Ontario Orchards Farm Market. My wife [June] and I graduated [high school] in 1964 and three years later we became Ontario Orchards. We have been here more than 60 years,” he explained. “It is the same location. We have expanded over the years as the customers mentioned different things; we have expanded to bring in different products. “What keeps me going is I totally enjoy what I am doing. I enjoy the people that I work with. The customers are wonderful. Mostly, more important than anything, is my family — my wife, my daughters, grandchildren, son-in-law — we are still very much a family business I’m not going to retire just yet.” He also enjoys the changing seasons. “Ontario Orchards is a four-season business. There is always something new; more energy, more interest. Not only for the business but for my staff, the people that work here. Things keep changing, changing. We are always looking forward to something new and exciting,” he said. They work with quite a number of local farmers within the area and throughout the state, throughout the country and from around the world.” “We do have things from different countries around the world. But specifically, we are very excited about the local. We have an over 200-acre farm. We sell just about everything we raise on that farm right here at the farm market. For example, we press cider year-round. We make baked goods every day, year-round. We sell our apples 12 months a year.” “Today, there are so many products in Ontario Orchards that we never would have thought of in 1967,” he continued. “I attribute a lot of that to my daughters. I like the young blood and new energy. That is very crucial to a business, it keeps it vibrant.” What’s his favorite part of the job? “I don’t have a favorite part. I enjoy it all. I have a lot of intertest in other things,” he said. “I have staff that knows so much. I can go to the staff and say, ‘I don’t know what this is, you tell me what this is.’ They are so knowledgeable. It is impossible for one person to know everything in this place. In the summer, staff is about 60; in the winter about 20, 25.” He added that he plans on being around for several more years.
Seniors: John Lemp, 70
Has been working for more than 50 years in the business — M. Lemp Jewelers in Syracuse — that his great-grandfather started in 1890 By Mary Beth Roach Don Lemp owns and represents the fourth-generation of the family business, M. Lemp Jewelers, but he still calls himself “a counter guy.” “I love interacting with couples. It’s a wonderful business. You’re celebrating marriages, engagements, births, anniversaries — all these different significant moments that people invite you into their lives for whatever brief period of time it might be to help them celebrate whatever their important occasion is,” he said. This is one of several reasons why Lemp, at 70, has been working for more than 50 years in the business that his great-grandfather started in 1890. Always located in the downtown Syracuse area, the store has been situated in the building that the family owns on East Fayette and Warren streets since 1971. He jokes that he’s been in the business so long he is now selling engagement rings to the second generation in some families. He also loves the opportunity to learn about the ever-changing industry and gemstones. “You have to know not only diamonds, but all the colored stones, from A to Z, from andalusite to zircons,” he said. Lemp said he had originally thought he wanted to become an attorney, but while working part-time in the store while attending college at Syracuse University, he decided to follow in the family business. His father, Walter D. Lemp Sr., and his mother tried to discourage their son from pursuing retail, reminding him of the hectic hours and lifestyle intrinsic in this business. But the younger Lemp [whose full name is Walter D. Lemp Jr.] prevailed. So, over the years, father and son got to work together in the family business for 35 years. And while many other jewelers retreated from downtown to suburban malls in the 1970s, the Lemps decided to stay downtown. And it’s a decision that Lemp Jr. feels it has worked out well. As he explained, downtown Syracuse is seeing a rebirth. One website, Point2Home.com, has noted that more than 6,000 people live there and the median income is about $62,000. In addition, according to the website that Lemp built years ago, the store can cater to customers throughout the country. His customers, whether from across the country or across Onondaga County, are just one reason that Lemp stays engaged in the business. His employees, the opportunity to continue to learn in an industry, and the challenge to continue to improve business are all other reasons, he noted. He’s also been able to travel to India to buy diamonds and he enjoys buying and selling estates. “I’d rather gallop in the corral than ride into the sunset,” Lemp said.
Non-toxic South Shore brand Minot Candles explains why sustainability is so important to business
“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.
All eyes are going to be on Justin Bieber at Coachella
Justin Bieber’s headlining set at Coachella on Saturday will be important moment in his slow-walked return to the stage following a turbulent few years marked by health struggles and cancelled tours.
In praise of popular science
As a kid, I was enthusiastically and unreservedly in favor of a manned space program. Our destiny lay in the stars, I figured. Get people out there. We need Star Trek here and now. As I got older, I became rather disenchanted with the idea. Humans are expensive, fragile, and inefficient as space cargo. We could flood the solar system with 100 robotic probes for the price of any single manned mission and get back just as useful data. Besides, it turns out space travel is dangerous. Tusk is a reader-supported publication. To support this work, please become a paid subscriber. Subscribe When it came to the recent Artemis II mission, my cynical side didn’t really see the point. Flying around the Moon and back is literally something we did before I was born, and I once owned a Members Only jacket. Apollo 8 circled the Moon ten times and returned to Earth safely the same month that “Chitty Chitty Bang Bang” was released. What was the point of repeating a feat that far braver people once did with tin foil and slide rules? Yet I’ve surprised myself with how moving I’ve found the Artemis II mission to be. The photos have been stunning. The crew has been professional and engaging. There have been modest but important milestones — the farthest humans have travelled from Earth; the first woman, person of color, and non-American to leave low-Earth orbit; innovations in communication, and more. One thing that really stood out is that this is really NASA at its finest. Not that this is the most important mission they ever pulled off, but they did this in a competent way that celebrated the achievements and kept the crew and the science at the forefront of the project. This wasn’t some billionaire throwing celebrities or cars into orbit as a vanity project — this was a collective effort to send experts in to do a job and come home safely. We don’t see that sort of thing much these days. I’m guessing few people would describe many government agencies as inspiring, but this one counts for me. We’re living through a profoundly anti-science era, in which pathbreaking, lifesaving discoveries like mRNA vaccines are routinely downplayed or even vilified. As I’ve noted previously, this era is something like that of the Red Scare in the 1940s and 50s, in which “egghead” professors were portrayed as out of touch or even hostile to regular Americans. One of the things that helped break that spell was Sputnik — the Soviet communications satellite that demonstrated that the United States was falling behind in crucial scientific research and applications. Its launch triggered a new appreciation for American science and goaded the federal government into supporting research universities and labs. I’m not saying that Artemis is the equivalent of Sputnik, but it potentially reminds people that there’s some value to scientific endeavors and the human faces attached to them. Despite my love for the show “For All Mankind,” I’m far from convinced that there’s any real value to putting colonies on the Moon or Mars that would justify the capital investment and the massive health risks to the astronauts. But sending scientific good will ambassadors on a trip into space once in a while? Bring it. Share
Photographers are buzzing about the cameras the Artemis II used to capture its historic images
If you’re into photography and use cameras other than the one found on your phone, then you may understand the importance of selecting just the right camera for the perfect shot. For NASA’s Artemis II crew, the solution was to bring a variety of cameras to capture all sorts of images.
Democratic Rep. Raja Krishnamoorthi says Melania Trump’s Epstein statement was ‘very important’
A local sports bar and grill is opening doors for inclusion and opportunity
As Autism Awareness Month continues, Wayne’s journey serves as a reminder of the importance of community support and the impact of giving everyone a chance to succeed.
Abbott survey finds ‘information overload, confusion and cost’ affecting health choices in US
Too much information, uncertainty and financial worries are hitting Americans when it comes to making important choices for their health. | Too much information, uncertainty and financial worries are hitting Americans when it comes to making important choices for their health.
Alphabet Is Quietly Building Its Next Major Business -- and It Could Be Bigger Than You Think
Most investors think of AI as a race to build better models. But behind every AI system sits something far more important -- the infrastructure that powers it. And that's where Alphabet is quietly building something big.
Alphabet Is Quietly Building Its Next Major Business -- and It Could Be Bigger Than You Think
Most investors think of AI as a race to build better models. But behind every AI system sits something far more important -- the infrastructure that powers it. And that's where Alphabet is quietly building something big.
Student-Led Fresh Check Day Promotes Importance of Student Mental Health - University of New Haven
A public health capstone course empowers students to design and lead an evidence-based mental health initiative, building peer-to-peer support and enriching campus awareness and suicide prevention readiness.
UN Champion Brian Cox: Space is no longer science fiction
The UN's Champion for Space, Professor Brian Cox, wants to show the world that space is “important part of all our lives and our economy.”
Countries are turning against U.S. fossil fuels after Iran war
As economies in Asia and Europe reel from the energy disruption, leaders make plans to permanently replace imported oil and gas with homegrown energy.
LeBron James powers shorthanded Lakers to important win over Warriors
With Warriors star Stephen Curry not playing because of injury, LeBron James leads the Lakers to a 119-103 win to stop the team's three-game losing streak.
What to watch for in WPIAL sports on April 9, 2026: Important section series to wrap up
Some rain on Monday and frosty temps the following day led to some postponements on the WPIAL baseball schedule.
The Pasteur Institute of Iran illustrates important truths about global public health
“War may command attention, but welfare is built in laboratories,” write Charentan Chatterjee and Guy Vernet.
Forage 2026 | A balancing act: The science of silage
The discussion about what to feed beef cattle throughout the year is among the most important conversations for the operation. For many, silage is a consideration. Galen Erickson, Ph.D., Nebraska Cattle Industry Professor of Animal Science and Beef Feedlot Extension Specialist, University of Nebraska-Lincoln,...
‘High Potential’: Kaitlin Olson Reveals Morgan’s Most Important Work Relationship
Why it isn't with Karadec.
The importance of NCAR: voices from science, congress and film
NCAR, the National Center for Atmospheric Research, is a trusted and esteemed scientific institution, and it’s in the heart of the Boulder community. Under the Trump administration, the U.S. Office of Management and Budget has announced plans to dismantle NCAR, citing it as a source of “climate alarmism.” KGNU’s ...
How does mitochondrial DNA affect your health? - Salk Institute for Biological Studies
Highlights Salk scientists have created a platform to study mitochondrial DNA mutations that lead or contribute to human disease They generated a library of 155 mitochondrial DNA mutant cells, nearly the human level of mitochondrial DNA mutant diversity The platform and library will accelerate innovation in the mitochondrial disease therapeutic space LA JOLLA—Some of your most important life partners are the mitochondria that power all your cells. You and these little cellular powerhouses are in a 1.5-billion-year-old evolutionary relationship—but mitochondria brought some baggage. Mitochondria brought their own DNA with them when they joined with the bigger, more complex cells so long ago, and today that mitochondrial DNA influences human health.
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.
How the Navy's retail business is working to pull off a turnaround
Sales have fallen at the Navy Exchange, the government-owned department store chain that provides tax-free products to enlisted servicemembers and veterans. Its stores are an important benefit to military families stationed across the world, and its profits directly improve the welfare of Navy sailors. The company is working to revamp its fleet of stores with a planned investment of around $100 million to better compete with major e-commerce players like Walmart and Amazon.
Why art is important for your health, just like exercise
Regular participation in the arts improves cognition, lowers blood pressure and reduces stress, according to "Art Cure: The Science of How the Arts Save Lives."
Business Formation Statistics Monthly Data Release
Explore timely and high frequency information on new business applications and formations.
Viewpoint: FP10 should remain open, excellent and secure
Europe is right to worry about research security. Foreign interference is real. So is the misuse of sensitive knowledge. Universities working in sensitive areas such as AI, quantum, semiconductors and advanced materials cannot afford to ignore the geopolitical environment around them.But Europe is in danger of drawing the wrong conclusion, one that would increase, not reduce, its strategic vulnerabilities.If the EU applies an “EU preference” logic to the next Framework Programme for research and innovation (FP10), it will weaken one of its greatest strategic assets: a research system built on openness, excellence and international collaboration. In the name of security, Europe could end up advancing science more slowly, innovating less effectively and making itself less attractive to global talent and partners in advanced science and technology.That would be a serious mistake.The EU preference included in Article 10 of the proposed European Competitiveness Fund may make sense in some industrial or deployment contexts, but is far harder to justify when applied to collaborative research in advanced science and technology, where excellence and global connectivity are crucial. Research is not procurement. It does not thrive when isolated. It advances through access to the best ideas, the best people, the best facilities and the best data, wherever they are found. This is why FP10 should not simply absorb industrial policy logic by default. Doing so would risk importing instruments that are ill-suited to research and that ultimately increase vulnerability rather than resilience.For universities of science and technology, the issue is especially acute. These institutions sit at the frontier of knowledge and technology creation in the very fields Europe sees as critical for its future competitiveness and resilience. They know better than most that security risks are real. But they also know that openness and security are not opposites. In practice, they have to be made to work together. Research security is not about closing doors. It is about building resilience through collective responsibility, trust, proportionate safeguards and better governance. That is a fundamentally different approach from default restriction.The risks of non-collaborationThe real danger in the current debate is that Europe talks too much about the risks of collaboration and not enough about the risks of non-collaboration. Those risks are strategic too. Cut researchers off from international networks and Europe loses access to knowledge, data, infrastructures and talent. Slow down global collaboration in critical technologies and Europe slows down its own progress on cutting-edge science. Make participation rules unpredictable and Europe weakens its attractiveness to researchers and investors alike.In other words, over-restricting collaboration will create strategic vulnerabilities, particularly in advanced science and technologies.This point is often underestimated in policy discussions that frame openness mainly as a value to be defended. Europe’s scientific strength, technological development and long-term competitiveness depend on remaining connected to the best research ecosystems in the world. For a continent that wants to accelerate deep tech, strengthen industrial capacity and reduce strategic dependencies, weakening the excellence base would be self-defeating. That does not mean ignoring risk. Quite the opposite. Universities are already strengthening due diligence, internal governance, awareness-raising, screening procedures and compliance support. Across Europe, institutions are working to manage risks linked to foreign interference, sanctions, export controls and the misuse of research. The right response is not complacency. It is better risk management. But that means targeted, evidence-based and proportionate measures, not blunt top-down restrictions with wide spillover effects. In the daily reality of universities, openness and restriction often coexist. The real challenge is how to apply safeguards without sliding into securitisation that damages academic freedom, open science and international cooperation. Restrict partners, not nationsMore restrictive treatment of collaborators from European Economic Area members Iceland, Liechtenstein and Norway, or from Switzerland and the UK, is strategically very difficult to justify. These are deeply embedded partners in Europe’s research and innovation ecosystem. Beyond that, Europe should still resist default exclusion and instead rely on case-by-case assessment. The relevant question is not nationality in the abstract. It is the actual risk profile of a collaboration: the institution, the affiliations, the field, the knowledge involved, the intended use and the safeguards available. Screening should focus on institutions and affiliations rather than nationality alone. Related articlesParliament ‘misreads’ link between Horizon Europe and ECF, Commission official saysFrustration grows at governance gap in next Horizon EuropeIf EU preference logic is imported into research without careful calibration, the likely result is a chilling effect. Researchers may step back from legitimate and beneficial collaboration, even where risks are manageable. International partners may see Europe as less predictable. And Europe may end up undermining the very excellence base it needs to compete, scale up and lead in strategic technologies, thereby increasing its dependence on others.FP10 should do the opposite. It should remain open by default, with restrictions used only exceptionally, and then on the basis of clear evidence. It should integrate research security into open science and research integrity frameworks, not set them against each other. And it should recognise that academic freedom, scientific excellence and responsible international collaboration are not obstacles to Europe’s security, they are part of it. Europe needs stronger tools to protect itself. But it also needs the discipline to avoid measures that would weaken it and increase its strategic vulnerabilities in the process. In FP10, that means staying open, excellent and secure.Louise Drogoul is senior advisor for innovation and sustainability at the Cesaer university association.
HRSA Announces More Than $135 Million to Expand Nutrition Services and Strengthen Rural Health Workforce
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D. Wayne Lukas, Louis Cella To Be Inducted Into Arkansas Sports Hall Of Fame
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The Boundless Deep: Young Tennyson, Science, and the Crisis of Belief by Richard Holmes
Pantheon Review by Walter Cummins The image of Alfred Tennyson I’ve carried for decades goes back to the childhood card game of Authors that depicts him with a stately continence sharpened by a jutting black beard. He’s formidable, his aura superior. Holmes opens his biography of the youthful Tennyson by describing the similar formality of the imposing Tennyson statue at Trinty College Cambridge, sharing the honor with other Trinity greats, including Isaac Newton, Francis Bacon, and Thomas Babington Macaulay. Holmes doesn’t want to chip away at that statue but rather reveal its inner youthful core of the man—tall, handsome, and talented but unformed, emerging from a disturbed family of addicted or insane male siblings and four unusual sisters struggling under a violent alcoholic clergyman father. Alfred was certainly statuesque, but would he end up a block of unformed stone like his equally promising brothers? He was youngest of three equally regarded Tennyson brothers at Cambridge, all bright, handsome, and talented, in fact Alfred regarded by some as less promising than his elders who also wrote poetry. Yet Alfred wrote one of his major poems, “The Kraken,” at twenty, revealing both his talent, his interest in geological forces, and the haunting creature that embodied his anxieties. While Holmes focuses on Tennyson of the 1830s and 1840s, he can’t tell his story without exploring his involvement with the Victorian intellectual upheaval. Tennyson was fascinated by new scientific perspectives, following the latest findings as soon as books and articles were published. He was especially taken with Charles Lyell’s deep studies of geology and the discovery of fossils and a timeline of the planet’s development that did much to question fundamental religious assumptions. The impact of these discoveries is reflected in Tennyson’s poetry and led to the crisis in belief he shared with so many contemporaries. He was especially taken by the cycles of destruction and renewal that informed the struggles he confronted in In Memoriam, Maud, and Idylls of the King. Tennyson was only one of the eventual major figures at Cambridge at the same time, young men just beginning to realize their potential. Charles Darwin was at Christ College, although there is no evidence that he and Tennyson even met as students or later in life. Yet evolution became significant in Tennyson’s thinking and the issues of his poetry. One of Tennyson’s best and most important Cambridge friends was Edward FitzGerald, who became the translator of The Rubáiyát of Omar Khayyám and in their on and off relationship served as Tennyson’s harshest critic. FitzGerald was also a friend of the novelist William Makepeace Thackeray, the two of them partying in Paris as undergraduates. That connection led to a friendship between Thackeray and Tennyson. Others who came to play significant roles in Tennyson’s life were Thomas Carlyle, the Brownings, and the Pre-Raphaelites. Tennyson’s deepest friend at college was Arthur Hallam, who at twenty wrote a glowing review of Tennyson’s first poetry collection, travelled on European adventures with him, and fell in love with his sister Emily. Hallam was also regarded as one more very promising Cambridge student. His sudden death at twenty-two in Vienna from a stroke while travelling with his father devastated many friends, but perhaps Tennyson most of all. He did not write immediate poems of grief but took years to compile those collected in In Memoriam A.H.H., published in 1850, almost twenty years after Hallam’s death For all of Tennyson’s early poetic successes and successes, Holmes reveals him as an often troubled young man suffering periods of depression, fearing planetary upheaval, concerned about supporting himself, disappointed in romances, and worried that he would inherit the family’s mental illness tendencies. Yet despite his seeming withdrawals, he was always writing poetry that he kept private and would not let go, constantly revising. 1850 became a transformative year for Tennyson. He finally consented to publishing In Memoriam with a last-minute prologue that acknowledged God and perhaps convinced the religious Emily Sellwood to marry him after years of pursuit.. He opened up to Emily, revealing his struggles with fears of depression and “weird seizures.” The devastating event of that time was the stillborn death of his unnamed first son. It shook him, but Emily’s faith brought them closer and convinced him to believe in an afterlife. Two later sons survived. With the death of William Wordworth in April of 1950, Tennyson was named poet laureate at age forty-one, reluctantly accepting. It’s as if Tennyson’s life split in half in that year. He lived another forty years, now a recognized success, with the prestige of being an official poet writing patriotic verse, wealthy and revered, no longer the insecure young man seeking an outlet for his immense talent. He earned a place in the Authors deck, now dignified and in 1884 elevated to the peerage as Arthur, Lord Tennyson. Richard Holmes is the author of twenty previous books on the Romantics and Victorians, several of which received awards. The Boundless Deep was shortlisted for the 2025 Baillie Gifford Prize for Non-Fiction. He captures the complex vicissitudes of Tennyson’s youth, illustrated by frequent excerpts from the poetry, placing that life in the full context of the shattering discoveries that led to an upheaval of thought in the Victorian age.
Artemis II’s Awe Reminds Us of Science’s Fragility and Importance
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Immunic COO highlights the importance of science-led innovation to mark World Health Day
Immunic Inc (NASDAQ:IMUX, FRA:10VA) chief operating officer Jason Tardio talked with Proactive's Stephen Gunnion about the importance of science-led innovation in tackling neurological diseases, particularly multiple sclerosis, on World Health Day 2026. Tardio highlighted that the biotech industry is fundamentally grounded in scientific research and data, noting that “everything we do is rooted in science.” He explained that Immunic is focused on developing innovative therapies designed to improve patient outcomes and address significant unmet medical needs. The discussion centred on multiple sclerosis (MS), a complex neurological disease that continues to present challenges despite decades of progress. Tardio pointed out that while advancements have been made, “the disease is not solved for,” with many patients still experiencing disability progression and requiring safer, more tolerable treatments. He emphasised the urgent need for innovation, particularly in progressive forms of MS where treatment options remain extremely limited. Immunic’s lead asset, vidofludimus calcium, is being developed as a novel approach aimed at addressing the full spectrum of the disease. Tardio also reinforced the broader mission of the healthcare and biotech sectors, stating that the ultimate goal is to help individuals “live a better quality of life” and “a healthier life longer.” Watch the full interview to learn more about Immunic’s approach to advancing MS treatment through science. For more videos like this, visit Proactive's YouTube channel, like this video, subscribe to the channel, and enable notifications so you never miss an update. #Immunic #MultipleSclerosis #BiotechInnovation #Healthcare #MSResearch #DrugDevelopment #ClinicalTrials #Neurology #WorldHealthDay #ScienceDriven #VidofludimusCalcium #PharmaNews #BiotechNews
Leading with Science and Evidence in a Time of Retreat
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Health officials investigate high rates of strep infections in West Hawaii
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Samsung updates One UI software rollout roadmap
On March 6, Samsung shared its April 2026 software rollout roadmap. It’s important information for every Galaxy device user. The company has made some notable changes in this month’s roadmap, compared to March 2026. Current Models for Monthly Security Updates Samsung offers new security updates to premium Galaxy phones and foldables on a monthly basis. […]
Lone Jar of Nutella Drifts Around Cabin of Moon Spacecraft
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Microsoft: Copilot AI is for 'entertainment purposes only,' not 'important advice'
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City of Austin Celebrates National Public Health Week April 6
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The inside scoop of UWW-TV sports
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On plant health and embracing new plant-breeding techniques in South Africa
The major challenge currently confronting South Africa’s agriculture is the spread of foot-and-mouth disease. For many farmers across the country, the most urgent tasks are both securing sufficient vaccines and rolling them out quickly in the coming months, particularly as the beef and dairy industries continue to suffer big losses. There is also pressure on sheep, goats, and other livestock to prevent the disease from spreading. As efforts to get the country through this monumental challenge continue, I believe it is important to sharpen our focus on the broader task at hand: strengthening biosecurity. This covers both animal and plant health. In recent years, we haven’t focused much on plant health, except a few times, such as when we had a goss’s wilt scare in the maize industry, a few cases of citrus black spot, or cases of sclerotinia in sunflower seeds. But the fact that South Africa managed to control the outbreaks of these particular diseases when they occurred a few years ago was due to organized agricultural and government scientific capabilities, and, most importantly, the availability of crop protection or agrochemicals necessary to address some of them. Therefore, as the animal health division in the Department of Agriculture focuses on the pressing challenge of the day, the foot-and-mouth disease, there is an opportunity for the plant health division to assess if they have all the requirements to tackle any outbreak that may occur on fruits, vegetables or crops in future. The challenge with crop diseases is that they can spread quickly and cause much more rapid damage in the field than we typically see with livestock. Therefore, speed is everything in ensuring the appropriate controls are available. I raise this as an important area, particularly given the drastic climate variation we observe across the country. The production conditions in some areas have changed noticeably over time, which may introduce new risks. The other essential part is ensuring that South Africa has access to the best crop protection technology available in the market. Many technology developers worldwide have operations in South Africa. Therefore, the Department of Agriculture, along with the Agricultural Research Council, must continuously interact with technology developers to assess the various crop protection technologies they are releasing globally and determine their suitability and need in South Africa. This will require a proactive approach from the government, unlike the current approach, in which technology developers typically approach regulators with new technologies. The government, recognising the food security risks, must take a proactive approach to ensure that South African farmers have access to the latest crop protection technologies, thereby safeguarding the country’s food security. Beyond crop protection, we must never forget that South Africa’s agriculture is key to ensuring that the country is the most food-secure country at the national level in sub-Saharan Africa. South Africa is also the only African country in the top-40 global agricultural exporters, having more than doubled since 1994 on the back of the adoption of high-yielding seed cultivars. South Africa has been the only African country to adopt a bold approach to embracing science and adopting genetically engineered seeds for grains and oilseeds in the early 2000s. Since then, we have seen crop yields improve noticeably, contributing to the gains we mentioned above. But ensuring that South Africa improves further is not a given. The key lies in South African regulators’ attitudes towards new technologies. We have to maintain a progressive approach and not give in to the politics of non-food and non-scientific voices that shout on the sidelines. Food security is national security, and the government must ensure we progress, leaning on science. Therefore, the registration of high-yielding new genomic techniques is required. South Africa cannot afford to fall behind the EU, the USA, South America, and many of its competitors in global agriculture. The Department of Agriculture’s crop science division must adopt a progress-and-science-embracing approach for the good of the country. Thanks for reading AgriView! Subscribe for free to receive new posts and support my work. Subscribe Share
Sleep quality, duration and regularity impact teens’ diet and heart health
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Spokane Regional Health District to mark Public Health Week with events
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Commentary: Summer Is too important for politics to steal
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The FT’s AI optimism rests on shaky science
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Times Opinion: Big money in politics makes progress in Tennessee impossible
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Sheridan College dance explores beauty of the ordinary in upcoming performance
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Brian Nathan pivots from upset win to governing sprint as potential rematch with Josie Tomkow looms
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Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
Microsoft says Copilot is for entertainment purposes only, not serious use — firm pushing AI hard to consumers tells users not to rely on it for important advice
These might be boilerplate disclaimers, but they kind of contradict the company's ads and marketing.
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Know the risks: Campus Health’s guide to responsible cannabis use
Not every college student uses cannabis, but for those who do, it’s important to know how to reduce potential risks. This April, learn about the resources available through Campus Health Services to help you reduce your risk and finish the semester strong. Cannabis use is not a replacement for self-care and good stress management practices. Using cannabis can lead to adverse mental health outcomes, like heightened anxiety, feelings of paranoia…
Airbnb Externship Shows 3L Isabel Samayoa How Legal Strategy Drives Business Growth - UC Law San Francisco (Formerly UC Hastings)
An externship at Airbnb provided 3L Isabel Samayoa exposure to areas such as contracts, licensing, risk management, and growth strategy, helping her develop the skills and experience to thrive in her future career as a corporate transactions attorney. 3L student Isabel Samayoa reflects on her work with Airbnb’s in-house legal team through UC Law SF’s Corporate Counsel Externship Program. Supported Airbnb’s legal team on commercial contracts, open-source licensing, external partnerships, product counseling, and legal research. Observed how legal advice aligns with business strategy and risk management. Gained exposure to strategic decision-making while preparing for a career in corporate transactions. Q: What did you do in this corporate externship? A: I supported the Airbnb legal team across several functions, including commercial contracts, open-source licensing matters, strategic external partnerships, legal research, real estate matters, internal AI integration, and product counseling. I also gained exposure to corporate structure counseling, litigation, patent counseling, and the company’s broader business strategy. Q: What did you take away from this experience? A: One of the most valuable parts of this experience was learning how a business actually operates. I had never worked on such a large team in the private sector, so I had little exposure to how companies run internally. I learned how lawyers can provide valuable advice to support business goals, seeing how leadership evaluates risk and develops growth strategies. Understanding those priorities allows me to calibrate my legal advice to clients, balancing the client’s goals against the level of risk they are willing to take. Q: How does this experience support your career goals? A: Exploring the anatomy of a successful company was incredibly valuable because I plan to pursue a career as a corporate transactions lawyer. Being in the room with the teams discussing important decisions allowed me to see firsthand the factors that contribute to that success and how lawyers help guide those decisions. Q: Would you recommend UC Law SF and this externship? Why? A: I would absolutely recommend this opportunity. While the team worked on high-stakes matters at a highly successful company, they still created an environment where I felt welcomed. They trusted me with meaningful work and supported me every step of the way. This helped me build confidence in my analytical abilities. Q: What’s your favorite UC Law SF memory so far? A: Some of my favorite UC Law SF memories, aside from my time at Airbnb, involve mentorship. I have benefited from mentorship and have also had the chance to mentor other law students. Watching the students I mentored go on to mentor others has been particularly rewarding. I think mentorship is integral to the legal profession, and it has been inspiring to see that culture thrive at UC Law SF and continue beyond the classroom. The Evidence of Success series highlights UC Law SF students as they share how the College’s opportunities equip them with the experience, skills, and confidence to excel in the legal profession.
Why Disney still needs Epic Games
Two years ago, Walt Disney Co. made a big bet on Epic Games. Despite the "Fortnite" developer's layoffs last week, that investment is still as important as ever.
🕵️ Another World Cup debacle looms: Italian spy in Bosnia?
Today is possibly the most important match of the year for the Italian national team. In Bosnia and Herzegovina, it will be decided whether the team led by Gennaro Gattuso will qualify for the 2026 W...