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Samsung Galaxy Z Fold 8 Gets Disappointing Display News Before Release
Samsung's Galaxy Z Fold 8 Ultra won't have a privacy screen despite it being a key Galaxy S26 Ultra feature. Here's what that means for the phone's price ahead of launch.
Photos: St. Louisans brought the love to PrideFest despite heat, ‘hateful’ political climate
As a weeklong heat wave settles on St. Louis, the city’s LGBTQ community was undeterred Sunday as thousands gathered to celebrate the 46th annual PrideFest downtown.
Trump’s Great American State Fair attendees say they haven’t noticed politics overshadowing the celebration
President Donald Trump kicked off the event with a headlining speech Wednesday after musical acts dropped out of the lineup citing concerns over partisanship.
World Cup: the group-stage disappointments 🥶
They could still wake up... or not.This Sunday evening at 9 p.m., the knockout stage of the 2026 World Cup begins with the first round-of-32 match between Canada and South Africa.The group stage has n...
‘Handmaid’s Tale’ Star Shares The Text Elisabeth Moss Sent After Trump Won — And Fans Will Recognize It
The actor recalled texting Moss, “What are we going to do? This can’t be.”
On anniversary of disastrous debate, Biden rallies Democrats at a casino
President Joe Biden spent the second anniversary of his disastrous debate performance at a Maryland casino, giving the keynote speech at an annual fundraiser for Maryland Democrats.
Houston Rockets Star Alperen Sengun Catches Stray From NBA Rookie
One of the NBA’s best young stars today is Houston Rockets center Alperen Sengun.The 23-year-old big man is already a two-time All-Star, averaging 20.4 points, 8.9 rebounds, 6.2 assists, 1.2 steals and 1.1 blocks last season. He helped the Rockets make the playoffs as the fifth seed.However, the Rockets suffered a disappointing exit at the […] The post Houston Rockets Star Alperen Sengun Catches Stray From NBA Rookie appeared first on HEAVY.
These church members disagree on politics. Together they're wiping out medical debt
Trinity Moravian Church, a politically diverse congregation in Winston-Salem, N. C., has been raising money to retire medical debt in the surrounding community.
These church members disagree on politics. Together they're wiping out medical debt
Trinity Moravian Church, a politically diverse congregation in Winston-Salem, N. C., has been raising money to retire medical debt in the surrounding community.
Politics: Sand speaks with TH on launch of “Rob-publicans” campaign
Ahead of the unveiling of his “Rob-publicans” campaign, Democratic Iowa gubernatorial candidate Rob Sand sat down with the Telegraph Herald to discuss his stance on excess partisanship and what it
Israeli politicians lash out after Netanyahu announces intention of 'broad national government'
During the press conference, Netanyahu condemned unnamed forces which "want to cause a rift in the people, want to aggravate and deepen the misunderstandings and disagreements and rifts within us."
While Isaac could still re-sign with Orlando, he will …
While Isaac could still re-sign with Orlando, he will …
The Orlando Magic Waive Defensive Versatile Forward Jonathan Isaac
The Orlando Magic severs ties with the former lottery pick to avoid a looming salary guarantee, ending an injury-plagued nine-year tenure while seeking financial flexibility for a critical offseason.
Scientists finally explain why these wild boars stay more radioactive than Chernobyl's wolves - Futura-Sciences
What explains this surprising finding? The answer appears to be a complex mix of history, ecology, and diet. Bavaria’s wild boars mainly feed on underground fungi that absorbed radioactive fallout from both the notorious Chernobyl disaster and Cold War-era nuclear testing. Unlike wolves, which sit higher on the food chain...
World Cup schedule, live updates: England, Portugal and Argentina back in action as group play ends
Community helps rebuild Future Champions Sports Complex
Now, one year after the disaster, Jamison said he reflects on the support he was shown.
Scientists finally reveal the shocking truth behind England’s dolphin deaths - Futura-Sciences
A Drastic Decline Along English Shores The dolphin populations along the English coastline have been disappearing at an alarming rate for several decades. Contrary to what many might hope, these aren’t dolphins simply seeking warmer waters elsewhere. The brutal reality is that this is not migration—it’s mass mortality. English researchers...
"Playhouse For Predator": Epstein Used 'Fake' Science Office As Prison Escape
The Florida Science Foundation was presented as a legitimate organisation focused on supporting research. But a review by The Telegraph of more than 1,000 documents connected to the company painted a different picture.
Week in Politics: Trump and bipartisan housing bill, John Bolton; Democratic socialists
President Trump canceled a signing for major housing legislation, former National Security Advisor John Bolton pled guilty to mishandling classified documents, and Democratic Socialists made gains.
Scientists mull controversial plan to steer hurricanes
It might sound like science fiction, but some scientists say we have tools that could be used to disrupt natural disasters. Others are skeptical.
Trump admin rule puts reproductive health care for 160K Pa. patients at risk, lawsuit says
Spotlight PA is an independent, nonpartisan, and nonprofit newsroom producing investigative and public-service journalism that holds power to account and...
Walbert Ureña implodes as Angels drop series opener against Athletics
On a night that started with an abrupt front office decision, Los Angeles Angels’ starter Walbert Ureña saw an abrupt end to an outing after a disastrous fifth inning led to a 9-3 loss against the Athletics on Friday.
Businesses across Oahu prepare to close as rising costs strain operations
Community members say the closures are difficult to watch, especially as familiar businesses continue to disappear across the island.
Peters, Bergman lead Michigan delegation in calling on Small Business Administration to approve disaster declaration
WASHINGTON, DC — U.S. Senator Gary Peters (D-MI), Ranking Member of the Homeland Security and Governmental Affairs Committee, led members of the Michigan Congressional Delegation in urging the Small Business Administration (SBA) to support Michigan Governor Gretchen Whitmer’s request for an administrative disaster declaration following the severe thunderstorms, tornadoes, high winds, large hail and torrential […]
Is the No Surprises Act working? Government watchdog is uncertain
The nonpartisan Congressional Budget Office said it needs more data to determine what savings the 2020 law is bringing to the U.S. healthcare system—but early data indicate it falls short of expectations.
‘It’s a bad time to be a normal’: House Republican on current political environment
Rep. Dusty Johnson (R-S.D.) reacts to President Trump's decision to cancel the signing of the bipartisan housing affordability bill. Rep. Johnson also discusses the president’s Iran strategy and the current political environment.
Congress Revives SAFE Banking Bill For Cannabis Businesses
A bipartisan group of lawmakers has renewed the push to let banks serve state-legal cannabis businesses without fear of federal penalties.
Disagreements between Supreme Court justices bubble into public view as major rulings loom
The Supreme Court is handing down major opinions at a rapid clip, but even with some of the biggest decisions yet to come there are signs of tension between the justices.
The Venezuela Earthquakes Hit a Health System Already in Crisis
Firefighters are using cellphone lights because of a flashlight shortage, and an overwhelmed hospital in the disaster zone is operating without running water, one doctor said.
These Deals on Video Games, Controllers, and Peripherals Will Disappear When Prime Day Ends Tonight
These are the best last-chance gaming deals for the last day of Prime Day: Save on top video games like Elden Ring, plus premium controllers, gaming mice, and essential peripherals.
Friday Morning Politics: As Goes New York...?
Lisa Kashinsky talks about the national implications of New York's Democratic primary results.
Thunder reportedly trade Isaiah Joe to Pistons for two second-round draft picks
Isaiah Joe still has two years left on his contract.
Trump election bill fight brings House business to a halt
A Republican revolt over President Donald Trump's election overhaul bill has thrown the House into disarray.
Trump election bill fight brings House business to a halt
A Republican revolt over President Donald Trump's election overhaul bill has thrown the House into disarray.
Weather drives cowherd size, not broken markets
Data shows weather, not broken markets, drives cowherd decisions. Producers cite grazing concerns and drought as top barriers to expansion.
Sweden and WHO launch new long-term initiative to transform Ukraine’s health system
WHO and the Swedish International Development Cooperation Agency (Sida) have launched a new multi-year cooperation project to support the long-term recovery and transformation of Ukraine’s health system. The new project, “Ukraine’s Health System Transformation Initiative: Strengthening Health Governance, Health Financing and Service Delivery for Long-Term Recovery”, was launched at the Ukraine Recovery Conference 2026 in Gdansk, Poland on 26 June, and will run from June 2026 to 2029. Sweden will contribute approximately US$ 26 million (240 million Swedish krona) to support this project. This contribution forms part of Sweden’s broader support to Ukraine through the Team Europe approach, which brings together the European Union, its Member States, and key partners such as the European Commission’s Directorate-General for Enlargement and Eastern Neighbourhood and Enabel, and WHO as lead health agency, to support Ukraine’s recovery, reform agenda and European integration.“Ukraine’s health recovery cannot be measured only by what is rebuilt, but by whether people can count on the health system when they need it most. The scale of the task is immense, with health reconstruction and modernization needs estimated at US$ 19.4 billion over the next decade. Sweden’s US$ 26 million contribution to Ukraine’s Health System Transformation Initiative is a timely investment in the institutions, financing and services that will support Ukraine’s long-term recovery and European integration. WHO remains a trusted partner of the Government of Ukraine in advancing this process. I am deeply grateful to Sweden for its consistent support and partnership,” said Dr Hans Henri P. Kluge, WHO Regional Director for Europe. More than 4 years of war have placed unprecedented pressure on Ukraine’s health system, creating 3 interconnected challenges. The first is responding to the immediate consequences of the war and the urgent health needs of the population. The second is recovering and modernizing health services today. The third is continuing reforms and aligning the health system with European standards in the context of Ukraine’s future accession to the European Union. The war has led to large-scale population displacement, an increasing need for trauma care and rehabilitation, and shortages of health workers. High out-of-pocket payments in Ukraine make access to health services more difficult. Around 46% of total health expenditure is paid directly by individuals, placing a significant financial burden on many households and underscoring the need for reforms in health financing. Older people, persons with disabilities, women, children and veterans continue to face the greatest difficulties in accessing health services. “Ukraine is demonstrating that health system transformation can continue even during war. Ukraine is also continuing to align its health system with European norms and standards. WHO is committed to supporting Ukraine on this journey. We provide technical support, help coordinate partners’ efforts and support the institutional changes needed to strengthen the system. We are grateful to Sweden for its support. Through this partnership, we can help Ukraine build a more resilient, accessible and people-centred health system,” said Dr Jarno Habicht, WHO Representative in Ukraine. About the Health System Transformation InitiativeThe new initiative will support Ukraine through 3 interconnected areas: strengthening governance and coordination of health sector reforms through more inclusive coordination platforms and structured policy dialogue; transforming service delivery by reinforcing a primary health care-centred model that integrates family medicine, nursing and midwifery; and improving financial sustainability by supporting reforms that ensure the long-term viability of the national health system and reduce out-of-pocket payments for households. Overall, these reforms are expected to make the health system more coherent and easier to navigate, improve the quality and continuity of care, and ensure more equitable access to services, particularly for those who need them most. They will also support Ukraine’s progress towards a more modern health system aligned with European standards. “We are convinced that long-term recovery is not possible without strong, high-quality, person-centred health services that are accessible to everyone. Our partnership with WHO is designed to support deep and lasting systemic changes. Investments in human capital especially autonomous midwives, whose role for maternal, newborn and adolescent sexual and reproductive health cannot be understated, stronger governance, digital transformation and the financial sustainability of the health system are investments in Ukraine’s future. We are proud to support this process,” said Malin Perhult, the Head of the Ukraine Unit at Sida. Focus throughout implementation will be given to the most vulnerable population groups, including older people, women and children, and persons with disabilities, who have been affected by the war and face greater health-care needs. The initiative will be implemented in close cooperation with the Ministry of Health of Ukraine, the National Health Service of Ukraine, the Public Health Centre of Ukraine, regional authorities and international partners. This project will help Ukraine move towards a system where everyone can access the health care they need. It will strengthen primary care, make the health finance system more stable and predictable, and reduce the out-of-pocket costs that Ukrainians face when using health services. As a result, the Ukrainian health system will become more aligned with European standards and more sustainable in the long run.
Federal AI security center measure advanced by House Science
A measure that would put into law a key federal office focused on artificial intelligence advanced Thursday out of the House Science, Space and Technology Committee, as part of a slate of AI-focused and data center bills. The committee advanced the bills on a bipartisan basis, but put off potential changes regarding funding levels for […]
Online retailer John's Crazy Socks relocates to Huntington in effort to turn around business
The company's core mission is to create employment opportunities for people who face barriers to work because of disabilities.
Senate Indian Affairs Committee Advances Mark Cruz’s Nomination to Lead Indian Health Service
U.S. Senator Lisa Murkowski (R-Alaska), Chair of the Senate Committee on Indian Affairs, led a nomination hearing to consider Mr. Mark Cruz, of Oregon, to be Director of the Indian Health Service within the U.S. Department of Health and Human Services and expressed her intent to support his nomination. Representative Tom Cole (R-Okla.), a citizen […]
WATCH: Stephen Miller says 'America's doors are closed fully to asylum seekers' after Supreme Court rulings
The Supreme Court voted 6-3 on Thursday to allow the Trump administration to end legal protections for migrants fleeing violence and natural disaster in Haiti and Syria, exposing hundreds of thousands more people to potential deportation.
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
Asthma, maternal health, climate disasters: How Detroit’s health director is tackling city’s health disparities
Detroit health director discusses tackling childhood asthma, maternal health, climate disasters through Health in All Policies approach.
Moore links Maryland primary to Mamdani-backed wins; analysts disagree
Gov. Wes Moore says Maryland’s primary election showed voters rejected the status quo, but political analysts say the results reflect a more complicated picture.
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.
Trump keeps turning Republican wins into loyalty tests
President Donald Trump’s moves on housing, FISA, Iran and Washington projects are creating new headaches for Republicans trying to show voters they can govern.
Trump budget request omits funds for L.A. fire relief, prompting criticism from senators
The omission is the latest strain in a yearlong standoff between California leaders and the Trump administration over federal disaster aid.
Earthquakes Have Often Shaken Latin American Politics
How governments respond to natural disasters can shape their political trajectories, an expert writes.
Dave Roberts Gives Blunt Assessment on Dalton Rushing Controversy
Dodgers catcher Dalton Rushing had a rough game on Wednesday, June 24th, behind the dish, getting into a disagreement with Shohei Ohtani.
SBA’s Proposed Update to the 8(a) Business Development Program: A New Approach to Social Disadvantage
On June 11, 2026, the Small Business Administration (“SBA”) published a proposed rule that would fundamentally alter how individuals qualify as “socially
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.
Tech: House Science advances AI bills
The House Science Committee advanced a bipartisan bill that would codify increasingly prominent artificial intelligence oversight work being done by the Commerce Department.
Government Scientists Fired by Trump Launch New Website for Sharing Climate Data
"Trusted climate information should not disappear when politics change."
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”[...]
Trump to meet House speaker in attempt to break legislative gridlock
Trump suddenly scrapped the signing of a pivotal bipartisan housing bill yesterday, demanding the Senate pass his voter ID bill
Immigrant-led residential care businesses in Maine launch new coalition
The group consists of 30 agencies who provide Medicare services to Mainers with intellectual disabilities and autism.
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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New polls show Americans’ complicated feelings about the country, 250 years on
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Online violence against women in politics: what shapes political party responses to technology-facilitated gender-based violence?
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Death Row Disability Cases Are Questions of Morality, Not Science
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Lin-Manuel Miranda and Eisa Davis set ‘Warriors’ musical for Broadway in 2027
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Bipartisan group of senators urges CMS to improve Rural Health Transformation Program implementation
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MIP participates in online lecture on the ICTY for Munich students of international law and politics
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Senate passes bipartisan housing bill
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We moved from the US to Barbados. Our 8 kids are more independent now.
Lisa Desai and her husband decided to move to Barbados from Florida because they craved freedom and adventure for their eight kids.
Board names interim president of North Dakota State College of Science
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Regions Bank Announces New Leaders in Key Markets to Drive Business Growth and Customer Experience
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