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Postal Service, Under Pressure, Now Faces Trump’s Mail Ballot Order
President Trump’s executive order, which has been challenged as unconstitutional, would limit the Postal Service to sending only the ballots of voters deemed eligible.
Cowboys draft rumor shot down by star defender’s 30 visit
How would you feel about Jermod McCoy?
“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.
PS6 Pricing: 41% of Digital Foundry Viewers Would Pay $699 or More for a Next-Gen PlayStation
Over 50,000 people respond to our poll.
This dreadful run that's weighing Mbappé down 🥶
The black cat?This Friday evening, Real Madrid were held to a 1-1 draw at home by Girona on matchday 31 of La Liga.If Barcelona win this Saturday, the Catalans would move nine points clear of Madrid a...
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
Local business owner weighs in as Louisiana blocks state minimum wage bill
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Arizona House passes bill restricting drones near large entertainment events
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Cowboys should consider this offensive player in 1st round
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Exclusive | Trump Promises Mass Pardons to Staff Before Leaving Office
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Burned Before, Democrats Abruptly Revive the Idea of Impeaching Trump
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Update on Proposed Dissolution of SBE Directorate at the National Science Foundation (NSF) -
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Trump officials unveil designs for president’s controversial 250-foot arch
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MSU transparency proposal for sports nonprofit gets pulled over dissent
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Viktor Orbán Could Actually Lose Sunday’s Hungarian Election
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‘He crushed it.’ Rummel senior’s home run against Jesuit creates 3-way tie for district lead.
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Amazon launches ‘Prime Video Ultra’ with new features, higher price
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Rasoul: Medicare for All is good for business
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Ohio economists: Water-quality bonds good for public health, uncertain about other benefits
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Former Erie County DA John Flynn eyeing town of Tonawanda supervisor job
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Olivia Munn Says 'Obnoxious' Male Co-Star Wouldn't Let Her 'Save' Him On-Screen
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Automatic military draft registration takes effect in December. Here’s how it would work
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USPS to suspend payments to employee pension plan to free up cash
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HHS Secretary Kennedy announces launching of new health podcast
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Judge strikes down DEC regulation over definition of 'freshwater wetland'
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3L Rachel Sadler Charts Path in Brain Health, Technology, and Policy Through UC Law SF’s Health Law Concentration - UC Law San Francisco (Formerly UC Hastings)
3L Rachel Sadler studies health law and policy at UC Law SF while researching the legal implications of neurotechnology and other emerging tools that may affect human cognition. 3L student Rachel Sadler shares how UC Law SF’s Health Law Concentration prepared her for a career focused on the intersection of brain health, government policy, and technology. Gained a detailed understanding of how U.S. health care is regulated and where policy reform is needed through coursework and research. Interned with state and federal agencies that regulate health care services and worked with a major health care provider’s bioethics department. Plans to pursue a career focused on protecting cognitive liberty and mental privacy as new technologies reshape healthcare. 3L Rachel Sadler: The Health Law Concentration has given me fluency in one of the most complex regulated industries and the tools to become an effective advocate for better health policy. Before coming to law school, I spent a decade teaching and working with teachers and administrators on high school programming for multilingual learners. Healthcare kept emerging as the most powerful driver of student outcomes. I wanted to understand how to make effective policy change in this area and how to use existing law to defend people’s health rights in California. Through the concentration’s coursework, I gained a sophisticated understanding of how U.S. healthcare is regulated. I also learned where the pressure points for reform exist. The courses gave me space to develop what became my central research interest: how law and policy can be built to protect human cognition and healthy brain development, particularly regarding new technologies such as generative AI and neurotechnology. The health law faculty were instrumental in that process, genuinely invested in helping me and other students define and pursue our own intellectual vision. During law school, I interned at the General Counsel’s Office for Region IX of the U.S. Department of Health and Human Services. I also externed at the California Department of Justice’s Health, Education and Welfare Division. Additionally, I externed at Kaiser Permanente Northern California’s Bioethics Department. Alongside those placements, I conducted extensive independent research on mental privacy and emerging neurotechnology, working closely with Professors Emily Murphy and George Horvath. That research became the throughline of my law school experience and the foundation of my current policy focus. I must also credit Nicole Ozer of the Center for Constitutional Democracy (CCD), whose deep knowledge of California privacy law and the public-interest privacy landscape deeply informed my work. I currently serve a research assistant with the CCD, where I spearhead the development of K-12 educational resources in partnership with law faculty and students. I’ve found UC Law SF to be an ideal place for second-career, nontraditional students. There is a tremendous diversity of life and career experience here, and I felt fully welcomed into the community, despite returning as a student at a different stage of life. I came to law school wanting to promote equity in California’s healthcare system. I am leaving with a sharper and more specific ambition: to build a policy career focused on protecting cognitive liberty and mental privacy from technological intrusion. This is both an urgent and underserved area of law, and I want to be part of defining this landscape going forward. Whether as a practicing attorney or a policy advisor, I plan to work on these issues after law school. I strongly recommend UC Law SF and the Health Law Concentration. When I arrived in law school, I worried the concentration would be narrow and that my non-clinical background would be a disadvantage. The opposite was true. The health law faculty thinks about health expansively, encompassing social determinants of health, structural inequity, and emerging technologies alongside the regulatory mechanics of the industry. The faculty are accessible, intellectually generous, and genuinely invested in students’ development. I found my research vision here, and I deeply appreciate the concentration’s role in this. 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.
Supporters object to trans sports referendum ballot language
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Trump promised to clamp down on health insurers. His policies are enriching them
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Riz Ahmed powers stripped down modern-day ‘Hamlet’
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Arm chief Haas in line to lead much of SoftBank’s international business
New job driving Japanese group’s AI strategy would be in addition to running the UK chip company
Iran’s Reality Shatters JD Vance’s Hungarian Fantasy
If what mattered most in the world was the political future of JD Vance, this would be a very good week. The US vice president gave a rousing speech in support of Hungary’s Prime Minister Viktor Orban, a model leader for the global conservative right, while at the same time helping his boss toward the off-ramp from an unpopular war with Iran.
NCAA to discuss five-year eligibility proposal, reports say
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Sabrina Carpenter Shouts Out Queer Community’s Impact on Entertainment: ‘I Don’t think Pop Music Would Exist If it Wasn’t for the Queer Community’
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Browns hosting dynamic tight end for pre-draft visit
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Ohio legislation would require in-person sports betting, ban parlays and prop bets
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NYC bill would force Amazon to hire thousands of local delivery workers — sending customer bills soaring
LAUSD high school sports would halt if unions strike on Tuesday
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Colorado Democrats eye new fee on home insurance companies
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Wisconsin Governor Faces Thursday Deadline on Online Sports Betting Bill
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Amazon Pulls Support for Perfectly Fine Older Kindles
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Form Bio: The Operating System for Science
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Jamie Dimon warned high taxes would push business out of New York, but the city is honing its edge over Miami in attracting top talent, report finds
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County supervisors fielding complaints about controversial Winneshiek County Fair entertainment
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Trump says U.S. will work with Iran to 'dig up' enriched uranium. Iran hasn't confirmed that
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Dem Missy Hughes announces health plan aimed at countering Trump
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Cyberpunk 2077 gets a free PS5 Pro upgrade today that brings PSSR and better ray tracing options
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Political newcomer from western Mass. ‘would love to be governor ... in 20 years’
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Massachusetts business owner says he was threatened for not donating to police union
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Top UFC contender believes he would best Khabib Nurmagomedov
How would Khabib Nurmagomedov fare vs. top UFC contender?
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.
A Patients’ Bill of Rights To Lower Health Care Costs
CAP’s plan would deliver immediate relief on premiums, deductibles, and insurance denials.
Executive Summary: A Patients’ Bill of Rights To Lower Health Care Costs
CAP’s plan would limit unjustified premium increases; reduce deductibles by reining in outlier hospital prices; and replace prior authorization with independent, evidence-based clinical review to lower health care costs and increase access to timely care.
Packers Discussion: Favorite draft fits for Green Bay
Here are some players I would really like to see in green and gold
Losing Dexter Lawrence Would Make the Giants’ Defense Collapse
After years of contract issues, New York Giants superstar defensive tackle Dexter Lawrence II has requested a trade. Lawrence’s disgruntledness doesn’t come as a surprise. Despite his All-Pro production, he ranks just 12th among NFL interior defensive linemen in terms of salary. So, with Lawrence’s established, elite production at 28 years old, the Giants shouldn’t hesitate […] The post Losing Dexter Lawrence Would Make the Giants’ Defense Collapse appeared first on The Lead.
The Reverend Jesse Jackson’s Sporting Life
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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.
African frogs haven’t forgotten the ice ages. Scientists can tell by where they live.
Why are frogs diverse in some parts of Africa’s rainforests and less so in others? The patterns of cooling and glaciation during the last ice age would probably not have been your first answer or even your last-ditch guess, but it is, nonetheless, correct. “When the glaciers were at their maximum
Georgia congressional election pits Fuller against Harris
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Iowa's Miller-Meeks noncommittal on spending cuts to fund Iran war
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After governor approves, Idaho health agency announces restored Medicaid mental health programs
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Bill Ackman’s Fund Offers to Buy Universal Music in $64 Billion Deal
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OPINION: Social media tax would hurt Nebraska’s small businesses and communities
I understand lawmakers’ social media concerns, and I share their desire for juvenile mental health. But those issues should be funded directly.
Hemp THC industry braces for federal changes that would ban most drinks and edibles
Dax Shepard reveals Kristen Bell 'didn’t tell me' about controversial 'I would never kill you' anniversary post
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Executive Order would put restrictions on student-athletes ability to transfer, limit eligibility
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Deja vu: Trump proposes cutting NASA science funding by 47% again
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Kanye West was booked as a festival headliner. Brands are now pulling their sponsorship
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Natural Gas Reliability as a Public Health Essential
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'Wonderful few weeks' for Trafford
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Yankees' Farm System Receives Yet Another Underwhelming Outlook
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Lawmakers seek permanent funding for referral hotlines connecting families to mental health care
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Survey: Has an AI agent interviewed you for a job?
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Female coaches 'huge' for women's rugby
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Warriors' Draymond Green reveals 'ideal' outcome for upcoming free agency
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Steelers' ideal draft scenario revealed
What would be the best-case scenario for Pittsburgh in the draft?
Trump’s 2027 budget proposes deep cuts to science programs
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Newly discovered fossils give scientists first look at the evolution of early complex animals
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Trump Revels in Threats to Commit War Crimes in Iran
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'Little belief remaining for Slot's side at present'
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Can Hawaiʻi Deliver All Of America From Citizens United?
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Rick Bragg returns to Acadiana for book festival: ‘Wouldn't it be good to be Cajun for one day?'
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Business leaders want to turn Belle Isle into special economic zone -- what that means
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Staley eyes another title as South Carolina meets UCLA
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Jordan Walker Crushes Grand Slam, But Tigers Outslug Cardinals 11-6
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Orbán’s top rival eyes PM term limits to bar his potential return
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Dan Hurley called his shot: Tarris Reed Jr. would be X-factor for UConn Final Four run
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Trump administration proposes massive budget cuts to science
The White House budget proposal would also curb federal payments for scientific publishing
As Trump orders UFO data released, a question hangs: If aliens exist, what would they think of us?
It came from outer space?