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Michigan football lands four-star offensive lineman Lincoln Mageo
Michigan football did the bulk of its work in recruiting its class of 2027 in May and June but continues to round out its class with OL Lincoln Mageo.
Blackhawks Trade Pitch Lands Bruins 6-Foot-5 Defenseman
The Chicago Blackhawks have certainly had an eventful offseason so far. Their biggest move was acquiring defenseman Bowen Byram from the Buffalo Sabres in a major splash. They also brought in other new players like Ian Cole, Jordan Greenway, and Cole Smith.However, it is clear that the Blackhawks should be looking to make more moves […] The post Blackhawks Trade Pitch Lands Bruins 6-Foot-5 Defenseman appeared first on HEAVY.
Celebrities flock to 2026 FIFA World Cup matches worldwide
Tom Cruise and David Beckham were among the celebrities seen at the 2026 FIFA World Cup.
What will Devlin bring to Rangers?
Sections of the Rangers support have long called on the club to recruit the Scottish Premiership's best talent, and the Ibrox hierarchy appear to be acting on that this summer. Both Lawrence Shankland and Cammy Devlin were among Hearts' standout players as they came within minutes of a historic Scottish top-flight triumph. The Ibrox club have signed both without needing to pay a transfer fee and have also plucked manager Derek McInnes from Tynecastle.
Saquon Barkley makes his 76ers recruiting pitch to LeBron James
As rumors swirl surrounding LeBron James' future, Saquon Barkley offered the NBA legend some food for thought on the 76ers
Apple accuses OpenAI of playing dirty in the AI talent wars
Apple accused OpenAI of stealing trade secrets in a lawsuit filed Friday. OpenAI's recruiting techniques were put on blast.
Apple accuses OpenAI of telling recruits to bring Apple prototypes to interviews
Apple accuses OpenAI of telling recruits to bring confidential prototypes and hardware to job interviews in a new trade secrets lawsuit
From The Sports Desk: France steamrolls another opponent, cruises into semifinals
Can either Spain or Belgium, who play in today’s quarterfinal, stop the Frenchmen?
Trump Is Building Monuments to Himself in D.C. While Ruining Democracy
President Trump's efforts to build monuments to himself in Washington D.C. can't hide the destruction he's doing to the democracy around the world.
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.
An outbreak of diarrhea caused by a parasite has hit at least 1,400 people. Here’s how to stay safe
It’s not clear what’s causing rising cases of cyclosporiasis, but cooking fruits and veggies and washing produce can help reduce your risk.
Science at the End of the World
What happens when a cruise to Antarctica tries to balance STEM with swanky?
EA SPORTS™ College Football 27 Launches Worldwide, Bringing New Era of College Football to Life
Do it For U with 138 Ways to Play in Dynasty Mode, Experience NIL and Build Your Legacy In Road to Glory Electronic Arts Inc. (NASDAQ: EA) today launched EA SPORTS™ College Football 27 worldwide on PlayStation®5, Xbox Series X|S and, for the first time ever, PC and mobile. Following the record-breaking return of the franchise, College Football 27 raises the bar once again, delivering the most authentic college football experience yet. College Football 27 captures real world elements that impact gameday like never before. College Football 27 is the definitive modern college football experience. Every major change happening in the sport — from NIL and coaching movement to recruiting, player development and game day — is now reflected in the game at unprecedented scale. Built around the current college football landscape, College Football 27 introduces the biggest changes to Dynasty Mode since the game's introduction, including all-new dynamic weather, expanded Road to Glory positions
UT Martin transfer gets the keys to USI offense
EVANSVILLE, Ind. (WEHT) – When the University of Southern Indiana men’s basketball team searched the transfer portal to fill out their roster, a familiar name stuck out that head coach Stan Gouard personally wanted the challenge to recruit the player. UT Martin transfer, Afin Trnka knows his upcoming road game at his former school won’t be […]
Gonzaga Hands Out First Offer in 2028 Recruiting Class
The first July live recruiting period is open, and the Zags made their initial move within the 2028 recruiting class.
Here's how much Nevada athletics made from being in EA Sports College Football
EA Sports' popular tagline is "It's in the game." And being in the game has been financially fruitful for Nevada athletics. Here's how much.
76ers Executive Sends Clear Message to LeBron James
Philadelphia 76ers executive Bob Myers is doing his part in recruiting LeBron James to the team.
Graham Platner's ruined campaign in Maine adds pressures for Democrats
Platner had entered the race as an outsider and was seen as riding a progressive, anti-establishment wave of support.
What could Democrats have done differently about Graham Platner?
She recruits progressive candidates for a living. We asked what went so wrong here.
Trump, 80, Puts Chronic Health Issue on Full Display on Overseas Trip
Trump gave a glimpse of his bruised and makeup-slathered hand during the trip.
Freedom Caucus — not Business Council
Far-right legislators’ indifference to improving quality of life in Wyoming is killing chances to recruit businesses, columnist Kerry Drake writes.
Advantage, Wall Street? Why finance firms seek sports stars for advice
Novak Djokovic is the latest of many athletic recruits to financial services
Rui Hachimura is joining the Clippers
The Lakers are losing yet another one of their key players in free agency.
How Disney Cruise Line Entertainment Has Evolved And Continues To Push Boundaries
Disney Cruise Line is pushing the limits of entertainment across its ships, but no where is this more obvious than the Wish class.
NC’s top business recruiter on rivals, foreign tourism dip and project pipeline
From Trump to Biden to Trump: how Christopher Chung chases jobs as federal policy shifts.
Protect Your Business Without Ruining the Budget: Bitdefender Antivirus Plus Is Just $20
Award-winning protection starts here.
This One Fruit May Reduce The Nutrients in Your Next Smoothie, Experiments Suggest
Oh damn.
Arkansas football recruits stay active during dead period
The Arkansas Activities Association dead period ends Sunday, but it didn’t stop some Razorback commitments or targets from working out while enjoying time off.
Dominant Leigh beat Warrington to close on top six
Leigh Leopards cruise to victory against Warrington Wolves on day one of Magic Weekend at Everton's Hill Dickinson Stadium.
Career coach shares résumé template she recommends for AI era
Amy Perrotta, the founder of a career branding company, says an effective résumé makes a recruiter "want to pick up the phone."
Entertainment agency marks 25 years with Disney
UK recruitment agency Excellent Entertainment celebrates 25-year partnership with Disney Cruise Line, sourcing thousands of entertainment professionals.
Recruiting services vary on Arkansas football's 2027 class ranking
Arkansas football has 24 commitments going into July and stands at No. 29 and No. 38 nationally by 247Sports and On3 industry ranking respectively.
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.
Inside the recruiting practices at the hottest AI coding startups
At Replit, X profiles have become the "main medium" for recruiting, said the company's chief people officer.
‘Explosive’ diarrhea illness reported across US. See map of affected states
Cyclosporiasis can ruin a summery picnic with explosive diarrhea and other food poisoning symptoms, according to the CDC. See the impacted states.
Michigan Football Recruiting: Kyle Whittingham is proving skeptics wrong
Michigan Football HC Kyle Whittingham has kicked things into overdrive lately on the recruiting trail, proving the skeptics wrong so far about his recruiting chops:
Bluebird Social draws World Cup crowds, boosts food truck business in downtown Boise
KBOI-TV CBS 2 covers news, sports, traffic, and weather in the Treasure Valley and Boise, Idaho and nearby communities, including Meridian, Nampa, Garden City, Caldwell, Kuna, Middleton, Eagle, Mountain Home, Star, Melba, Payette, Weiser, Horseshoe Bend, Idaho City, Marsing, Homedale, Parma, New Plymouth, Murphy, Fruitland, Emmett, Wilder, Notus, McCall, Cascade, Donnelly, Council, and Vale, Oregon, and Nyssa, Oregon, Ontario, Oregon.
Bruins swing another trade with Rangers, add defenseman
The Bruins and Rangers came together for another trade on July 1.
Anthropic Goes Deeper Into Drug Development With Claude Science
The company launched an app designed as an AI workbench that brings together the vast array of tools used in scientific research and also said it is getting into drug development.
Canes football remains on a recruiting surge. And basketball team adds a center
UM football, basketball teams keep up momentum in recruiting.
With DeGette’s loss, Raul Ruiz eyes her job on a powerful health panel - Live Updates
The Energy and Commerce Health Subcommittee has jurisdiction over HHS, Obamacare, Medicare and Medicaid.
With DeGette’s loss, Raul Ruiz eyes her job on a powerful health panel - Live Updates
The Energy and Commerce Health Subcommittee has jurisdiction over HHS, Obamacare, Medicare and Medicaid.
8 Fruits That Fight Inflammation and Support Gut Health
Plus an expert shares the one tip to help prevent blood sugar spikes.
Primer: 2 elite Michigan Football recruiting targets ready to commit
Decision day is here for 2 of Michigan Football’s top targets, including 5-star CB Joshua Dobson. We have that and more in today’s Recruiting Roundup:
Situation of the reserve team's squad
Several players from Girona B have ended their association with the Club and will not continue to be part of the reserve team next season.This is the case for Ferran Ruiz, Oriol Comas, and Miguel Sán...
Cruis'n Blast has been delisted from the Nintendo Switch eShop
Out of nowhere, Cruis’n Blast has been delisted from the Nintendo eShop. As far as we’re aware, the arcade racer has been available since launching on Nintendo Switch almost five years ago. Unfortunately, that’s no longer the case as of today. Looking the game up on the Nintendo eShop now provides zero results. We checked both the North American store...
Police investigate vandalism at Youngstown business
According to a report, officers were called around 5:15 p.m. Sunday to a business on Dogwood Lane, where Youngstown Fire Department crews were already on scene.
Kevin Pollak says Jack Nicholson would mess with Tom Cruise on 'A Few Good Men'
'A Few Good Men' star Kevin Pollak says that Jack Nicholson would often play around and mess with Tom Cruise while they were shooting the Rob Reiner-directed courtroom drama.
Learn Science with Dr. V: Is air weightless?
Air is a mixture of gases, mainly nitrogen and oxygen, along with small amounts of other gases such as carbon dioxide, argon, and water vapor.
Mets drop tough one in series finale
A.J. Ewing nearly had his Mets moment, but a Kyle Schwarber home run ruined the fun on Sunday afternoon.
Efzimfotase alfa demonstrated improvements in bone health in treatment-naïve pediatric patients with hypophosphatasia achieving median difference of 1.67 vs placebo in RGI-C Score at week 25 in MULBERRY Phase III trial
Positive results from the MULBERRY Phase III trial showed that efzimfotase alfa (ALXN1850), an investigational enzyme replacement therapy, demonstrated a statistically significant and clinically meaningful improvement in bone health in children (2 to
Top Longhorns OL target moving up commitment date?
Texas recruiting has been red hot and it seems set to continue. Ismael Camara, five-star OL, might be moving his timeline and Texas is trending.
Meet the Bruins’ 2026 draft class
Don Sweeney and the Bruins added seven new players to the organization over the weekend in the 2026 NHL Draft.
GM hires talent from rivals to solve self-driving car problem
GM has made several key executive hires since 2025 and brought back Cruise alums to ramp up its self-driving tech development in personal cars.
Bruins draft Russian forward with 104th overall pick
The Bruins have selected multiple Russians in a draft for the first time in almost 25 years following their fourth-round selection Saturday.
Bruins draft goalie Yuri Ivanov with second-round pick
The Bruins went with a goalie with their first pick of the 2026 NHL Draft.
Perplexity, Kalshi, Replit insiders share how to get a startup job
We asked startup founders, recruiters, and hiring managers what to do — and not to do — to boost your chances of getting an offer.
Ohio State Buckeyes projected to land elite offensive lineman
Ohio State sits on the cusp of another top-5 recruiting class, and the Buckeyes could be receiving even more good news this weekend. Four-star Jackson (Miss.) offensive lineman Caden Moss is set to commit Friday night, and the Buckeyes are surging late as the favorite to land him. Over the past 24 hours, Rivals national […]
Mia Sara reflects on working with ‘weird guy’ Tom Cruise in 'Legend'
Mia Sara recalls working with Tom Cruise in the Ridley Scott film 'Legend,' saying the actor was 'very insecure.'
Who are Texas A&M's All-Time Quarterback recruits?
According to 247Sports, here are the top 10 ranked Texas A&M quarterbacks recruits in program history.
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.
Commitment season looming as Ohio State staff awaits
The month of June has been a grind for Ohio State’s coaching staff. Position camps, recruiting visits, and still prioritizing their current roster, the Buckeyes have had zero time off… and that will soon change. Ryan Day and company set to be on vacation in the coming days for a well deserved break, that doesn’t […]
Real Madrid’s summer spending spree creates unexpected Champions League problem
Real Madrid have been one of the busiest clubs in the transfer market, but their impressive recruitment spree may have created a technical issue.Notably, Jose Mourinho has already welcomed four new si...
UCLA comparative literature department to offer health humanities minor in fall
UCLA will offer a minor in health humanities starting this fall. The minor, housed under the comparative literature department, is an interdisciplinary program that examines how health and medicine are shaped by literature, culture, history and social experience, according to the department’s website.
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.
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.
Commitment: Texas lands 2027 three-star IOL Lucas Rhoa
The Texas Longhorns continue a great week of recruiting by landing 2027 three-star interior offensive lineman Lucas Rhoa.
Ranking Big 12 recruiting classes via average commit distance
The Big 12 recruiting landscape continues to change as programs continue to shuffle throughout the conference. Texas Tech is pushing to sign the nation’s No. 1 class in the 2027 cycle and it firmly sits atop the league’s recruiting rankings. The Red Raiders are the only Big 12 team with a top-25 haul, per the […]
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.
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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