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Apple Responds to Lawsuit Filed by Three YouTube Channels
Earlier this year, three YouTube channels sued Apple, alleging that the company violated the U.S. Digital Millennium Copyright Act (DMCA) by unlawfully accessing and scraping millions of copyrighted YouTube videos to train its AI models. In a class action lawsuit filed with the U.S.
Sony’s PlayStation disc factory is already being repurposed
All 300 employees will be retrained, Sony says.
Europe’s Health Systems Face a Heat Test
New WHO guidance highlights how extreme heat is straining hospitals, with practical measures now shaping safer care environments across Europe.
Trump's attack on trains taught me a lot about Americans
And spoke with those who want to invoke the 25th Amendment.
Zuckerberg said AI agent progress has been slower than expected
Superintelligence will take time, Zuckerberg tells Meta staff, as the company makes its AI training program opt-in after a data leak.
Rich Eisen belives he’s done doing play-by-play
Rich Eisen built a second career on NFL Network almost by accident, stepping into the play-by-play chair years after he’d already made his name as a host. It appears that part of his career is now over, as he told Sports Illustrated’s Jimmy Traina that he no longer expects to call games. “No, it is…
NATO tensions push Europe to chart a path past Washington
Ahead of a major NATO summit in Ankara, Turkey next week, strain on the alliance is pushing European lawmakers toward a new posture—one that is less reliant on Washington.
Thousands need medical attention from ‘already overwhelmed’ Venezuelan healthcare system: Aid worker
Claudia Manresa, Venezuela Regional Manager at Project HOPE joins Meet the Press NOW to discuss the urgent humanitarian situation following last week’s twin earthquakes and the strain the disaster is putting on the country's already struggling systems.
Businesses Are Stuck in an Efficiency Illusion — Here's Why More Decks Don't Mean Better Decisions
In an AI-accelerated workplace where output is increasingly easy to generate, real professional value comes from judgment, restraint and clarity. Here's why professionals must move beyond volume-based execution and learn to deliver the strategic conviction leaders actually trust.
Tufts University and Bigelow Laboratory Partner to Expand Marine Science Training
Tufts University and Bigelow Laboratory for Ocean Sciences have launched a partnership offering graduate students a Marine Science specialization through the Sea Change Semester, combining coursework with hands-on research voyages and laboratory training in Maine.
Giants' Matt Chapman goes on injured list with abdominal strain
Matt Chapman said his abdominal area had been bothering him over the last several weeks.
Live entertainment for Struthers’ Big Boy train celebration announced
Struthers is planning an all-day party to celebrate the historic train's arrival, with several thousand people expected to attend.
Live entertainment for Struthers’ Big Boy train celebration announced
Struthers is planning an all-day party to celebrate the historic train’s arrival, with several thousand people expected to attend.
NC lawmakers consider changes to vehicle child seat laws
A child passenger restraint systems bill that would put more emphasis on a child’s height is moving slowly through state Senate committees.
UFC champ Sean Strickland predicts unlikely future title matchup
UFC middleweight champion Sean Strickland believes a fight between him and a training partner at Xtreme Couture is inevitable.
Workout Wednesday: Stretching your way to good health
In this week's "Workout Wednesday," fitness trainer Rhonda Murphy shows us how a few stretching exercises can help us feel at ease!
Anthropic launches Claude Science AI workbench for researchers
Claude Science connects more than 60 databases and tools in one environment, running on existing Claude models with no specialized biology training
10 questions the Steelers must answer at training camp
When the Steelers get together for training camp, here are the 10 questions they have to answer.
Quakes strain Venezuela’s health system
LA GUAIRA, Venezuela -- Aid groups warned Tuesday that Venezuela's fragile healthcare system is being pushed to its limits nearly a week after two powerful earthquakes, with damaged and understaffed hospitals getting overwhelmed by the injured and infectious diseases flaring in the disaster zone.
Samsung drops first official Galaxy Z Fold 8 teasers, ‘New Shape, New Joy’ [Gallery]
With less than a month to go, Samsung is kicking off its train of Galaxy Z Fold 8 teasers with...
Taylor Frankie Paul's ex-husband Tate Paul files for restraining order against reality star
Tate Paul, the ex-husband of embattled reality star Taylor Frankie Paul, is now the second of her exes to seek a restraining order against her.
Doctor warns of health risks as Massachusetts heat wave intensifies
Massachusetts faces a dangerous heat stretch, and a South Shore Health doctor warns the heat can strain the heart and other organs.
Palace Theater and Downtown Gallatin offer July entertainment
Historic Downtown Gallatin, Inc. and the Palace Theater continue to offer plenty of entertainment and shopping choices to Gallatin citizens, both inside the air-conditioned theater and outside in the July heat. The Kids Summer Movie Series continues all month on Fridays from 10 a.m. until noon. July 3 will feature 2025’s “How to Train Your
Three Steelers with the most to prove in training camp
These Steelers have an important few weeks in Latrobe ahead of them.
7 things fantasy football players — and fans, too — should know about the Steelers’ offense
Believe it or not, Steelers training camp is only four weeks away. That means fantasy football season is right around the corner, too. One of the Post-Gazette’s...
Community Health Workers Learn Perinatal Outreach Approaches at UAMS Training
LITTLE ROCK — Twenty community health workers (CHWs) from across Arkansas recently gathered in Springdale with a shared goal: to build connections and learn how to better support mothers across the state. Hosted by the UAMS Institute for Community Health Innovation, the three-day Perinatal CHW Upskill Training provided interactive, hands-on…
Nutanix and the North Carolina School of Science and Mathematics Partner to Expand Computer Science Access Across North Carolina
$250,000 Corporate Grant From Nutanix Establishes Endowed Professorship to Fund Public K-12 Teacher Training and Open-Source STEAM Curriculum NCSSM Nutanix Endowed Professorship Charles Robinson, Nutanix Endowed Professor of Computer Science at the North Carolina School of Science and Mathematics SAN JOSE, Calif., and DURHAM, N.C., June 30, 2026 (GLOBE NEWSWIRE) -- Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, and the North Carolina School of Science and Mathematics (NCSSM), t
Reaching communities close to hostilities in Ukraine
Primary health care teams in Ukraine are reaching 121 locations within 60 km from active hostilities. This is part of the largest primary health care intervention in frontline areas in the country. European Union (EU)-supported teams are delivering essential services to people trapped by constant shelling and severe security constraints in 7 regions where no pharmacies operate, no health facilities function and evacuation remains impossible for residents.
The No. 1 Daily Exercise for a Strong Deep Core, According to a Trainer
In TODAY.com’s Expert Tip of the Day, a personal trainer and TODAY.com editor shares her top workout for strengthening the deepest muscles of the midsection.
Venezuela health system strained after earthquakes, WHO says
Venezuela's healthcare system is under significant strain, the World Health Organization said on Tuesday, with some hospitals damaged and others missing staff after deadly twin earthquakes last week.
Venezuela Health System Strained After Earthquakes, WHO Says
By Emma Farge GENEVA, June 30 (Reuters) - Venezuela's healthcare system is under significant strain, the World Health Organization said on Tuesday, with some hospitals damaged and others missing staff after deadly twin earthquakes last week. More than 1,700 people have been killed and 5,000 ...
Predicting winners for NFL's remaining QB competitions: Who wins starting gigs?
Five NFL teams are set to enter training camp with quarterback competitions lingering. Who will emerge as QB1 in each battle?
Expelled from Neptune HS, Harvard-trained doctor now NYC health chief
Dr. Alister Martin faced unusual obstacles on his path to becoming New York City health commissioner, getting expelled from Neptune High School.
Serena Williams’ Wimbledon comeback and how elite athletes in their 40s return to the arena
Sports science, training optimization, and a good old-fashioned dose of aura can all lend a hand.
Weird Science: Space enthusiasts helping train AI system to unlock deep secrets of spiral galaxies
Led by Dr. Patrick Treuthardt of the North Carolina Museum of Natural Sciences, the project asks everyday volunteers to review automated, color-coded maps of spiral galaxy arms.
South Coast youth basketball team wins national title
The Leaders In Training seventh grade boys basketball team capped its season by winning the Zero Gravity National Championship.
Eagles’ post-A.J. Brown offense will define training camp
In addition to the continuing evolution of the Eagles' offense, an NFL writer points to the new additions at wide receiver.
Browns QB Shedeur Sanders Gets Bad News on Future
The Cleveland Browns’ quarterback competition remains open heading into training camp, but the momentum appears to be favoring Deshaun Watson, not Shedeur Sanders. The post Browns QB Shedeur Sanders Gets Bad News on Future appeared first on HEAVY.
Dodgers Reinstate Teoscar Hernández from Injured List
The Los Angeles Dodgers brought back outfielder Teoscar Hernández from the injured list with a hamstring strain on Monday.
SGMC Health Welcomes 32 Resident Physicians
SGMC Health welcomes its newest cohort of resident physicians as they begin their clinical training, representing a significant milestone in the continued advancement of the organization’s Graduate Medical Education (GME) program.
How to spot an AI-generated face, according to science
Training people to pay attention to the right visual cues nearly doubled how accurately they could spot AI-generated faces
At new FDLE forensic training lab, UCF students get real-world experience with scientists
A Diet and Workout Plan to Hit Weight-Loss Goals By the End of 2026
A dietitian and personal trainer share the simple plan they give clients who want to lose weight, build strength and feel more energized by the end of the year.
Texas Democrats leave convention united in effort to end GOP’s 30-year hold on state politics
Texas Democrats spent their 3-day convention in Corpus Christi rallying party activists, training volunteers and making the case for Democratic policies and candidates across the state ahead of the 2026 midterm elections.
Building Community, Capacity, and Collaboration Through gmhCONNECT | Johns Hopkins Center for Global Mental Health
Doctoral trainee Yesenia Garcia shares her experience at gmhCONNECT, a training and mentoring program for global mental health researchers.
How South Dakota schools are shifting to 'science of reading'
South Dakota is retraining teachers in the 'science of reading' to help students master foundational skills. Here’s how.
Bringing Health Care Training Closer to Home for Rural Students
One program in Oklahoma, Kansas and Missouri is hoping to bring more doctors and dentists to rural communities.
After 40 years in Congress, Nancy Pelosi to help create institute to train leaders of the future
The former House speaker plans to help create an institute at UC Berkeley that will concentrate on civic engagement and research
Russian 6th to 11th graders get 17 hours of basic military training
Russia is doubling the amount of military training time in high schools, with new lessons on drones and field exercises.
Winning Before Kickoff: The science behind success at the 2026 FIFA World Cup
The World Cup is usually remembered for what happens after the whistle: the impossible assist, the heroic save, the deflection that turns a nation’s hope into heartbreak. But in 2026, some of the most important contests may be decided before kickoff, in training rooms, recovery suites, flight schedules, hydration plans, and cooling protocols. Science cannot eliminate soccer’s glorious unpredictability, but it can help teams survive it.
We turned 80-year-olds into trained health monitors to save lives and boost senior dignity
As a career geriatrician, I’ve long known that some of society’s finest minds are being underappreciated while living in senior communities. So I helped to develop a new health program to help put older adults on the watch as health monitors.
Seahawks Get Big Rashid Shaheed Update Ahead of Training Camp
The Seattle Seahawks have Jaxon Smith-Njigba as their WR1, but the question will be whether Rashid Shaheed can become a WR2. Last season, the Seahawks traded a fourth-round pick and a fifth-round pick in the 2026 NFL Draft to the New Orleans Saints for Shaheed. Moreover, Shaheed didn’t become a rental for the Seahawks, as […] The post Seahawks Get Big Rashid Shaheed Update Ahead of Training Camp appeared first on HEAVY.
Texas Democrats leave convention united in effort to end GOP's 30-year hold on Texas
Texas Democrats spent their 3-day convention in Corpus Christi rallying party activists, training volunteers and making the case for Democratic policies and candidates across the state ahead of the 2026 midterm elections.
Only one workout helped older adults lose fat without losing muscle
A six-month study of more than 120 adults in their 70s found that high-intensity interval training (HIIT) may offer a key advantage over other forms of exercise: it helped reduce body fat while preserving valuable muscle mass. While moderate and low-intensity workouts also led to some fat loss, only HIIT maintained lean muscle, which becomes increasingly important with age.
Only one workout helped older adults lose fat without losing muscle
A six-month study of more than 120 adults in their 70s found that high-intensity interval training (HIIT) may offer a key advantage over other forms of exercise: it helped reduce body fat while preserving valuable muscle mass. While moderate and low-intensity workouts also led to some fat loss, only HIIT maintained lean muscle, which becomes increasingly important with age.
Dodgers getting stronger, planning to activate Teoscar Hernández
The Los Angeles outfielder has been on the IL since May 29 with a hamstring strain.
Esports means business for new generation of fans
Valhallan, a youth esports training organization, hosted a grand reopening of its second Long Island storefront in Wantagh on Saturday.
Andy Burnham distanced himself from UK Prime Minister Starmer, but may be stuck with his policies
Burnham, the former mayor of Greater Manchester who was sworn into Parliament hours after Starmer announced his resignation on Monday, will be constrained by the platform the center-left Labour Party was elected on that decisively ended 14 years of Conservative rule in 2024.
Colts roster preview: AJ Haulcy garnering attention during offseason
With training camp off in the distance, we will be previewing each player on the Colts' 90-man roster. Up next is S AJ Haulcy.
Germany news: Heat soars as political reforms split opinion
As Europe's heatwave rages, Germany continues to swelter with new records expected Saturday. Elsewhere, politicians bicker over reforms and industry blames train operator DB for billions in losses. DW has the latest.
Lions announce 2026 training camp fan schedule, times
Here's when fans can catch the Detroit Lions during 2026 training camp.
Steelers’ Drew Allar Addresses Rookie Role Behind Aaron Rodgers
Pittsburgh Steelers quarterback Drew Allar spoke out on his place behind Aaron Rodgers on the team's depth chart entering 2026 NFL training camp. The post Steelers’ Drew Allar Addresses Rookie Role Behind Aaron Rodgers appeared first on HEAVY.
Just 2 Hours of Strength Training May Lower Heart Disease Risk in Women
Researchers say that just 2 hours of weekly strength training may help lower the risk of cardiovascular disease in women, especially when paired with 150 minutes of weekly aerobic exercise.
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.
Dolphins Training Camp Primer: Quarterbacks
A look at the Miami Dolphins' quarterbacks and where things may be headed during the 2026 season.
We almost had a smartphone in the 90s. Why did it fail?
In the early 90’s, a company called General Magic began working on a portable device that would allow people to check email, make phone calls, even play games. It was basically a smartphone. But it never caught on.On today’s show, a theory about why this device failed. General Magic had generous investors, world-class talent and creative freedom. But is it possible what they needed was constraints?Support:Planet Money+Read: Our book: Planet Money: A Guide to the Economic Forces That Shape Your Life Our weekly longform Planet Money newsletterOur weekly Indicator round-up newsletterFollow: InstagramTikTokYouTubeFacebookThis episode was hosted by Erika Beras and Emma Peaslee. It was produced by Emma Peaslee with help from Sam Yellowhorse Kesler and James Sneed. It was edited by Marianne McCune and fact-checked by Charlotte Isidore. It was engineered by Jimmy Keeley with help from Cena Loffredo. Alex Goldmark is Planet Money’s executive producer.
An Unexpected Vocation: Jaibir Nihal Singh’s Journey from Film Student to Business Executive
Though trained as a filmmaker at Pepperdine University’s Seaver College, Jaibir Nihal Singh found a way to leverage his creative skills into a career as a successful innovator. Now, as a member of Forbes 30 under 30, Singh credits his education as the launchpad for his vocation, even if he never saw it coming.
Texas Tech's Red Raider Meats Has Steak Down to a Science
The Lubbock university is training the next generation of agriculture scientists using revenue from selling some of the state's best beef
Scientists infected a 'vagina on a chip' with gonorrhea — then cured it with a new antibiotic found by AI
To sift through 6 million molecules in pursuit of new gonorrhea treatments, researchers trained AI to select the best drug candidate and then tested it in a "vagina on a chip."
Las Vegas group, school launch scholarship to expand access to skilled trades
The National Association of Women in Construction Las Vegas recently launched a new scholarship in partnership with trade school Quality Training Centers. The scholarship is intended to expose more...
Chaotic Push to Train Staff for US Ebola Outbreak Facility Alarms Health Workers
The three-day session focused more on administrative tasks than spread prevention.
New study suggests health damage from exposure to Ohio toxic train spill
Research finds immune systems still ‘responding to toxic chemical exposures’ related to East Palestine derailment
Strength Training Could Be One of the Best Things You Do for Your Brain
A growing body of research suggests strength training can help preserve cognition and improve brain health as you age. Experts explain the best way to work strength training into your routine.
Ozone Ascent: Mega Rayquaza Timed Research
From Saturday, July 25, at 10:00 a.m. to Sunday, July 26, 2026, at 8:00 p.m. local time free Timed Research will be available to all Trainers that rewards a Meteorite that enables you to Mega Evolve Rayquaza! Complete the research tasks to earn a Meteorite, an encounter with Rayquaza, and more. Unlike other Mega-Evolving Pokémon, […]
Ex-NFL player Doug Martin's family sue Oakland police, allege restraint asphyxia in fatal mental health crisis
Parents of former NFL running back Doug Martin file wrongful death lawsuit alleging he died from restraint asphyxia caused by Oakland police.
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.
PANAM SPORTS AND THE CANADIAN COACHES ASSOCIATION LAUNCH A CERTIFICATION PROGRAM FOR COACHES IN THE AMERICAS
With the goal of training and supporting the development of coaches on […]
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.
Colts roster preview: Can Riley Leonard secure backup QB role?
With training camp off in the distance, we will be previewing each player on the Colts' 90-man roster. Up next is QB Riley Leonard.
Senate Democrats announce election observer program
The program will put trained, official observers on the ground to observe activities around polling places
Microsoft Discovery Aims To Advance The Era Of Agentic Science
The cloud-based agentic AI platform aims to help human researchers overcome resource constraints and complex data challenges to accelerate science at scale.
Employers Want AI-Enabled B-School Grads. But Do They Know What That Means?
A new survey of corporate recruiters says business schools need to focus on training students to use AI — in five years.
How Caesars’ Expanded Tribal iGaming and Community Partnership Could Shape Caesars Entertainment (CZR) Investors’ Outlook
In June 2026, Caesars Entertainment Inc. announced that it had expanded its partnership with three Wabanaki Nations in Maine to cover online casino gaming, aiming to launch Caesars Palace Online Casino, Caesars Sportsbook & Casino and Horseshoe Online Casino in 2026, subject to regulatory approval and integrated with Caesars Rewards and a universal digital wallet. A distinctive element of this agreement is Caesars’ commitment to employ and train tribal members while providing financial...
This weekend in Clarksville: Science guy, rodeo, Nunsense, ‘How to Train Your Dragon’
From science to fantasy, from rodeo to religion, there's a range of stuff going on in Clarksville this weekend.
$10 Million Gift to UAB Aims to Improve Rural Health Care Across Alabama
A $10 million gift to the University of Alabama at Birmingham will help train more primary care physicians in rural communities and encourage them to stay and p
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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