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The nation’s cartoonists on the week in politics
Every week political cartoonists throughout the country and across the political spectrum apply their ink-stained skills to capture the foibles, memes, hypocrisies and other head-slapping events in the world of politics. The fruits of these labors are hundreds of cartoons that entertain and enrage readers of all political stripes. Here's an offering of the best of this week's crop, picked fresh off the Toonosphere. Edited by Matt Wuerker.
Freedom Con: Thousands of Men Gather for Christianity and Feats of Strength
Thousands of men and boys gathered in central Washington for masculinity, Christianity and right-wing politics.
Scientists find evidence of vast hidden magma systems inside Mars
Researchers from the University of Oxford have uncovered evidence that Mars once hosted enormous, Earth-like magmatic systems deep beneath its surface—despite the planet lacking the plate tectonics long ...
Poll shows Donald Trump underwater in home state of Florida heading into Midterms
Could that spell trouble for Ashley Moody as she faces Alex Vindman?
Tigers host the Astros on home losing streak
The Detroit Tigers are looking to stop their three-game home slide with a victory against the Houston Astros
Introducing: Breguet Celebrates the 225th Anniversary of the Tourbillon with Four New Releases, And the Return of a Collector Favorite (Live Pics)
A revived and revised version of the Roth-designed caliber 558.1 movement (significantly improved) headlines four watches to celebrate the patent date of one of Abraham-Louis Breguet's most notable achievements.
Opinion | Don't apply politics to scientific research
Under recently proposed rules, federal grants could be terminated midstream for reasons having little to do with science or merit.
As Colorado votes, rural voter politics could influence key races
Rural doesn’t necessarily mean conservative, and the opinions of these 10 voters run the gamut.
4 Takeaways From USA's Last-Second World Cup Loss To Türkiye
So much for a perfect group stage. But the USA can now turn its attention toward the knockout stages.
CRAWFORD | Kenny Klein, beloved longtime Louisville sports information director, dies at 66
Klein's career spanned nearly four decades and helped shape the public face of Cardinals athletics through some of its greatest triumphs and most difficult crises.
EVA HENRY: Corruption resurfaces in Adams, Arapahoe County politics linked to One Main Street
Corporate dark money groups are funneling millions into eleven different races statewide.
Kenny Klein, former longtime Louisville Athletics administrator, dies
Kenny Klein, a former Louisville Athletics administrator of 39 years who worked more than 1,300 straight men's basketball games, has died at age 65.
It's Xbox's turn (again), as console prices keep going up
Microsoft announced a price hike for the Xbox Series consoles today, the third in little over a year. Effective August 1, the Xbox Series S, which launched in 2020 for $300, will cost $500 in the U.S. The Xbox Series X, which launched in 2020 at $500, will go for $800. This follows a round of PlayStation 5 price increases from Sony this spring, and a slow-motion increase for Nintendo’s Switch 2, which will kick in in the U.S. in September. (Mind you, there were also eight video game industry price hikes in six months of 2025). The chart up top shows the sudden ascent of console prices over the past year, a sudden surge in an already unusual hardware generation. Prices had been flat for years, now “up” is the new “flat.” Game console prices used to go down across the length of a console generation, but not this time around. Microsoft’s explanation for the new price hike today: We hoped another price increase would not be necessary, and we have spent the last several months working with suppliers on options. Unfortunately, console storage and memory prices have increased by more than 2.5x and we expect another doubling by the fall of 2027. The entire consumer electronics industry is struggling with the current components crisis, but the effects are particularly hard on consoles. Unlike phones, computers, speakers, and other consumer devices, consoles are typically not sold at a profit, but instead for less than they cost to make. This is an issue well beyond game consoles. Apple announced price hikes on its computers and tablets today as well. Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Item 2: Brutal Bungie cuts Bungie laid off “most” of its Destiny development team and some developers who worked on Marathon, the newest game from the struggling Sony-owned studio. A WARN notice issued by Sony to Washington State, where Bungie is based, tallied cuts impacting 292 workers, effective next month. That’s strictly for Bungie/Sony jobs in Washington and wouldn’t account for any elsewhere. The video I clipped below shows the redacted list of Bungie cuts filed to Washington State officials. As you’ll see, I had to scroll for a while… In a note emailed to PlayStation workers and published online, PlayStation game studios chief Hermen Hulst offered the following explanation for these latest cuts at Bungie: This is painful news, especially for talented colleagues whose roles have been eliminated. This decision was made only after extensive discussion and careful consideration, and I want to provide some context on how we arrived here. Over the past several months, together with Bungie leadership, we reviewed the studio’s long-term direction, development priorities, resource needs, and role within our broader portfolio strategy. We explored multiple alternatives before concluding that a reduction was necessary to align the studio’s resources with its current priorities and long-term goals. In 2022, Sony bought Bungie for $3.7 billion. The studio’s marquee game, the multiplayer live service shooter Destiny 2 was losing popularity at the time. Its next game Marathon, released earlier this year, has been well-reviewed but had a slow start. Bungie is renowned for making great shooter games, and Destiny fans have mourned the wind-down of Destiny 2. They’ve also expressed bewilderment over reports that Destiny 3 is not, per Bloomberg, immediately in the cards.
Politics Chat, June 25, 2026
A newsletter about the history behind today's politics.
Vice President JD Vance talks faith and politics in Orange County
Vance largely talked about his grandmother’s influence at the sold-out event, which came on the heels of his new memoir, “Communion: Finding My Way Back to Faith.”
2026 World Cup Is Putting FIFA’s Rules on Political Neutrality to the Test
The World Cup is in full swing across North America, and the U.S. men’s team faces Turkey in its final group round appearance on Thursday. But behind the cheering fans and nail biting matches, FIFA's commitment to political neutrality is put to the test. Marisa sits down with Tariq Panja, global sports correspondent at The New York Times. They dig into the politics behind the games, from restrictions on Iran’s team and President Trump’s unusually close relationship with FIFA president Giann
The Business of Beauty Global Forum: Inside the Industry
Jane Hertzmark Hudis, Simone Dominici and Vicky Tsai were among the speakers unpacking the most pressing topics for the industry in the second session of The Business of Beauty Global Forum 2026.
DC Wrap: Supreme Courts rules on immigration and gun cases
A look at the day's biggest stories in national politics
UT Health San Antonio researcher receives $400,000 Komen grant to study therapeutic yoga for breast cancer survivors
Amelie G. Ramirez, DrPH, MPH, to work with Hispanics in South Texas Contact: Steven Lee, (210) 450-3823, lees22@uthscsa.edu Content provided by Cliff Despres SAN ANTONIO, June 25, 2026 – Amelie G. Ramirez, DrPH, MPH, a cancer researcher at UT Health San Antonio, the academic health center of The University of Texas at San Antonio, is […]
Scientists develop predictive roadmap to boost performance in next-gen spintronics
Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the spin of electrons in spin-based optoelectronics, or spintronics, but getting them ...
Valve Quietly Walks Back Steam Machine 4K 60 FPS Performance Claims
Valve's Steam Machine has earned more than its fair share of skeptics, thanks to performance claims and more recently its unfortunate pricing. More recently, though, Valve has seemingly taken some of this criticism to heart and silently changed some of those performance claims on the Steam Machine p...
Less Islamism, More Nationalism
In Iran and across the Middle East, the bond between religion and politics is getting weaker.
Democratic socialists’ battleground test: From the Politics Desk
Plus, Pete Buttigieg is back on the campaign trail. And digging into Michael Whatley’s bio in the North Carolina Senate race.
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
The Politics Hour: The big winners in MD's primary elections
Leading Democratic nominee for Montgomery County Executive Will Jawando talks about his message to voters, dark money, and data centers. Plus, Tara Jackson wins the Democratic nomination for Prince George's County State's Attorney and WAMU's Alex Koma on D.C. lawmakers greenlighting the budget.
Earthquakes Have Often Shaken Latin American Politics
How governments respond to natural disasters can shape their political trajectories, an expert writes.
Politics | Local, California, U.S. & World Politics
ABC7 News covers local, California, U.S and world politics like no one else in the San Francisco area. KGO is your source for political races and legislation.
Orange County Politics and Public Health Tangle in Sacramento
A debate over if supervisors should be on the board of CalOptima is opening broader questions on politics in healthcare.
These Churches Are Putting Family Before Politics
Close to 70 percent of Black children in America are born to unmarried parents. Nearly half live with a single mother. Both figures are significantly higher than the national average and reflect the steep decline in marriage among African Americans since the 1960s.
Check politics at the door? Not at many workplaces, researcher says
When people think of workplace segregation, they usually think of race or gender. Yet Americans are also sorted at work by something employers rarely measure: how they vote.
Scientists find molecular-level evidence for two structures in liquid water
A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single uniform substance, but a constantly shifting mixture of two distinct microscopic ...
Finding Strength Through Sports While Living with Phenylketonuria
Episode 3 explores how teens with PKU balance the demands and realities of athletics while managing this metabolic condition.
Platner, Collins’ campaign spar over federal contracts
Platner released a multi-point plan he calls “a corruption crackdown,” which covers issues such as big money in politics, lobbying activities by former members of Congress, and making it more difficult for presidents to cash in on their position while in office.
Trump’s politics of emergencies leaves GOP allies scrambling again
In upending plans to sign a bipartisan housing bill, the president illustrated one of his favored tactics: declaring a policy preference to be an emergency.
This Simple Trick Can Make Your Coffee Taste Way Better, Says Physics
If you love pour-over coffee it could serve you well to change how you pour.
Gov. Shapiro on Mamdani-backed wins in NYC: Candidates doing ‘performative politics’ must learn ‘how to deliver results’
Sofia Elverdin Selected as Co-Recipient of the Best Dissertation Prize From the American Political Science Association’s Women, Gender and Politics Section
Sofia Elverdin, assistant professor of politics at Washington and Lee University, was recently selected as a co-recipient of the American Political Science Association’s (APSA) Best Dissertation Pr…
Athletics' Jacob Wilson: Out of Athletics' lineup
Athletics' Jacob Wilson: Out of Athletics' lineup
Graham Platner backs legal maneuver using Maine law to rein in political spending
Democratic U.S. Senate nominee Graham Platner wants to overturn the landmark U.S. Supreme Court ruling that enabled corporations and other outside groups to spend unlimited money on elections by any means possible. He supports a constitutional amendment and ethics rules on the high court, which the Sullivan oyster farmer included in his latest policy rollout […]
From the Beginning, Politics Triggered Broadcasting
Media scholars argued that politics, not technology, shaped American broadcasting from 1927 on, repeatedly shielding incumbents from competition.
Rogers Computer Science Teacher Named Tops in the State
Instructor and coach, Anthony Hanos with members of the cyber security program, students Brandon Wilson, Kerian Santiago and Alex Bettencourt. The sister sectors of computer science, information technology and cybersecurity, continue to be among the fastest growing industries in the country, according to the U.S. Bureau of Labor Statistics. Luckily, Newport area high schoolers interested
Survey finds Roy Cooper continues to hold double digit lead in N.C. Senate race
A new survey finds former North Carolina governor Roy Cooper leading former Republican National Committee Chair Michael Whatley by double digits in the pivotal Senate race in November.
Government Scientists Fired by Trump Launch New Website for Sharing Climate Data
"Trusted climate information should not disappear when politics change."
Another look at carrots and eyesight; how to get more fiber; why mosquitoes bite some people and not others; plus other stories with Vanderbilt Health sources
AARP reporter Stacey Colino interviewed Milam Brantley, MD, Associate Professor of Ophthalmology and Visual Sciences, in 2020 for a story about whether eating carrots can improve vision. Sacramento Bee reporter Samantha Agate has now used Brantley’s comments in an AI-curated story created by content specialists on the same topic that has been picked up by MSN and others. Prevention magazine interviewed Heidi Silver, RD, PhD, Founding Director of the Vanderbilt Diet, Body Composition, and Human Metabolism Core, for a story about the importance of fiber and how people can get more of it in their diet. William Schaffner, MD, Professor of Preventive Medicine, was quoted by several news outlets about public health issues, including: Women’s Health (tick bites and alpha-gal syndrome); The Washington Post (tetanus); and Healthline (why mosquitoes prefer to bite some people and leave others alone). A visit to Monroe Carell Jr. Children’s Hospital at Vanderbilt by some Banana Ball baseball players was covered by The Tennessean and WZTV Fox 17 News, and The Tennessean’s story was also picked up by Yahoo! Sports. Clarksville Now published a story written by the Montgomery County Economic Development Team, whointerviewed Bradley Stancombe, MD, professor of Clinical Pediatrics, Vanderbilt Neonatology, about the new energy of Vanderbilt Clarksville Hospital and how the facility is recruiting physicians. Healio Allergy/Asthma group editorial director Richard Gawel interviewed Mark Rolfsen, MD, Clinical Fellow in the Division of Allergy, Pulmonary and Critical Care Medicine, for a story about his presentation at the American Thoracic Society meeting on metal health outcomes following ICU discharge. Nashville Scene reporter Hannah Herner interviewed James Crowe, MD, Director of the Vanderbilt Center for Antibody Therapeutics, for a story about his efforts to prepare for the next pandemic by isolating antibodies that can neutralize dangerous viruses. Medscape reporter Kathleen Doheny interviewed Neesha Choma, Associate Chief of Staff of Vanderbilt University Hospital, for a story about how hospitals can reduce readmissions.
'Unflappable' Justin Wrobleski Becoming 'The Shark' In Dodgers' Rotation
Justin Wrobleski created his own model to chart his development. Here's how it's taken him from fringe starter to potential All-Star.
Alex Freeman Headlines Kids Of Former NFL Players Making Their Names In Other Sports
Team USA's Alex Freeman is leading the charge of breakout athletes across sports with NFL bloodlines.
Semi-communal 'compound houses' in Ghana affect how people participate in political activity
Could the precise architectural form of your residence influence how much you participate in politics? A new study by MIT scholars finds this to be exactly the case—at least in Accra, Ghana, where many ...
Mamdani on election wins: New Yorkers exhausted with ‘status quo politics’
New York City Mayor Zohran Mamdani (D) said voters showed they were exhausted with “status quo politics” by backing democratic socialists in state and federal primaries on Tuesday. Three Mamdani-ba…
UPS is losing ground to FedEx
The two logistics giants have similar strategies—and face a common threat
J.D. Vance is heir to a more radical politics than Trumpism
…if, of course, he believes what he’s saying
NJ Legislators Push for End to Corporate Money in Politics
NJ Legislators Push for End to Corporate Money in Politics New Legislation Would Redefine “Corporation” Under State Law to Disallow Political Spending SUMMIT, N.J.—Assemblymembers Andrew Macurdy, Chigozie Onyema, and Maureen Rowan today announced a bill that would bring an end to corporate spending on politics in New Jersey. The bill alters the definition of “corporation”[...]
York County restaurants scrambling for bread after bakery's closure
Terranetti's Italian Bakery in the Mechanicsburg area closed suddenly after 54 years, leaving York County restaurants scrambling for bread.
How to Watch the World Cup Today: Schedule, Times, TV, Streaming for USA, Germany, More
USA, Germany, Japan and more are in action today at the 2026 FIFA World Cup, with Groups D, E and F concluding on FOX and FS1.
CU Director of Sports Medicine Dr. Eric McCarty Provides Capitol Hill Briefing on College Athletics Landscape
The University of Colorado's Director of Sports Medicine Dr. Eric McCarty was among a prestigious panel of physicians and coaches leading a briefing on Capit...
Ensuring health for Special Olympics athletes
University of Minnesota healthcare students across many disciplines are helping to provide health screenings for athletes competing in the 2026 Special Olympics USA Games.
Revisiting the Politics of Indigeneity in Latin America
CDDRL Research-in-Brief [4-minute read]
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
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