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AI Assistant Tool QED Scores bioRxiv Preprint Quality
QED, an AI assistant tool, evaluates the originality and validity of bioRxiv preprints, assigning them QED Scores. Researchers report that its rankings often align with expert opinion.
Prosperity Council’s Report Challenges Kotek to Signal That Oregon Is Open for Business
The 15-member panel of business and labor leaders proposed four modest tax code changes, replacing the Climate Protection Program, and some less controversial reforms.
Trump's DOT clears a pedal-free path for Tesla and Zoox
The NHTSA is proposing allowing the removal of pedals and steering wheels for AVs, making it easier for Tesla and Zoox to pursue alternative designs.
Vance dismisses Watergate scandal, says ‘deep state’ went after Nixon
The vice president said he admired Nixon and drew parallels between the past president, who resigned amid pressure in 1974, and Trump today.
It's Summer Sale Season, So I Tracked Down 25 Actually Good Gaming Deals Under $20
There's a million sales happening right now, so I sifted through them all to find 25 genuinely solid gaming deals that are each under $20.
It's Xbox's turn (again), as console prices keep going up
Microsoft announced a price hike for the Xbox Series consoles today, the third in little over a year. Effective August 1, the Xbox Series S, which launched in 2020 for $300, will cost $500 in the U.S. The Xbox Series X, which launched in 2020 at $500, will go for $800. This follows a round of PlayStation 5 price increases from Sony this spring, and a slow-motion increase for Nintendo’s Switch 2, which will kick in in the U.S. in September. (Mind you, there were also eight video game industry price hikes in six months of 2025). The chart up top shows the sudden ascent of console prices over the past year, a sudden surge in an already unusual hardware generation. Prices had been flat for years, now “up” is the new “flat.” Game console prices used to go down across the length of a console generation, but not this time around. Microsoft’s explanation for the new price hike today: We hoped another price increase would not be necessary, and we have spent the last several months working with suppliers on options. Unfortunately, console storage and memory prices have increased by more than 2.5x and we expect another doubling by the fall of 2027. The entire consumer electronics industry is struggling with the current components crisis, but the effects are particularly hard on consoles. Unlike phones, computers, speakers, and other consumer devices, consoles are typically not sold at a profit, but instead for less than they cost to make. This is an issue well beyond game consoles. Apple announced price hikes on its computers and tablets today as well. Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Item 2: Brutal Bungie cuts Bungie laid off “most” of its Destiny development team and some developers who worked on Marathon, the newest game from the struggling Sony-owned studio. A WARN notice issued by Sony to Washington State, where Bungie is based, tallied cuts impacting 292 workers, effective next month. That’s strictly for Bungie/Sony jobs in Washington and wouldn’t account for any elsewhere. The video I clipped below shows the redacted list of Bungie cuts filed to Washington State officials. As you’ll see, I had to scroll for a while… In a note emailed to PlayStation workers and published online, PlayStation game studios chief Hermen Hulst offered the following explanation for these latest cuts at Bungie: This is painful news, especially for talented colleagues whose roles have been eliminated. This decision was made only after extensive discussion and careful consideration, and I want to provide some context on how we arrived here. Over the past several months, together with Bungie leadership, we reviewed the studio’s long-term direction, development priorities, resource needs, and role within our broader portfolio strategy. We explored multiple alternatives before concluding that a reduction was necessary to align the studio’s resources with its current priorities and long-term goals. In 2022, Sony bought Bungie for $3.7 billion. The studio’s marquee game, the multiplayer live service shooter Destiny 2 was losing popularity at the time. Its next game Marathon, released earlier this year, has been well-reviewed but had a slow start. Bungie is renowned for making great shooter games, and Destiny fans have mourned the wind-down of Destiny 2. They’ve also expressed bewilderment over reports that Destiny 3 is not, per Bloomberg, immediately in the cards.
Joint statement – WHO/Europe and CCEE to collaborate on addressing health inequities and loneliness
WHO/Europe and the Council of Bishops’ Conferences of Europe (CCEE) officially signed a Letter of Intent on 23 June to establish a strategic partnership for promoting pan-European dialogue to reduce inequities, enabling every child and adult to live in health, safety and dignity.
AI designs the ideal burger for taste, health, and planet
Stanford researchers developed an AI tool that creates novel burger recipes optimized for individual preferences. The implications for science go well beyond food.
President Trump Signs Executive Order Advancing Regenerative Agriculture as Part of Make America Healthy Again Agenda
President Trump Signs Executive Order Advancing Regenerative Agriculture as Part of Make America Healthy Again Agenda
Sony files WARN notice for layoffs at Bungie in Bellevue
Sony Interactive Entertainment is reducing the workforce at Bungie, with layoffs affecting a significant number of employees.
Kawhi Leonard Seeks Extension – But Not With Current Team
Kawhi Leonard has one year left on his current contract with the Los Angeles Clippers. He’s eligible to sign an extension this summer, and sounds like he’s willing to do get that done. The one caveat: The Clippers aren’t necessarily the team he wants to sign with. Leonard, who turns 35 on June 29, ...
University, State of Utah sign agreement for proposed south valley health campus
U of U Health has secured land for a proposed health campus that will serve as the health care anchor for the 600-acre master-planned development...
NASA, US Small Business Administration to Announce Partnership
NASA and the U.S. Small Business Administration will sign a memorandum of agreement during a ceremony at 1 p.m. EDT, Monday, June 29, at NASA Headquarters in
Brand New, Retail Boxed Nintendo Switch 2 Gaming Consoles Are Going for as Low as $399 for Amazon Prime Day
Brand new.
Men’s Health Month reminds community members to catch up on overdue wellness visits
June is Men’s Health Month and experts are urging men not to ignore crucial preventative care.
Democratic socialists’ battleground test: From the Politics Desk
Plus, Pete Buttigieg is back on the campaign trail. And digging into Michael Whatley’s bio in the North Carolina Senate race.
WATCH: Kellyanne Conway insists socialist primary victories don't reflect American values nationwide
Kellyanne Conway says Democratic primary wins reflect only a handful of specific districts and do not signal a broader political shift nationwide.
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.
Ormond Beach businesses push drivers to slow down on Granada Boulevard
Downtown Ormond Beach businesses are taking matters into their own hands after drivers continue to ignore a reduced speed limit on Granada Boulevard — nearly a year after the change took effect.
Boone Health earns renewal of Level I STEMI Center designation for heart attack care
Boone Health earned its renewal of Level I STEMI (ST-Elevation Myocardial Infarction) Center designation, reaffirming their ability to provide the highest level
Scientists measure hidden quantum forces that could power a new generation of pharmaceutical drugs
It's one thing to design a pharmaceutical drug. It's another to know if and why it actually works; not on paper or in a computer model, but inside the chaotic world of living systems, where proteins twist ...
Takeaways: Supreme Court hands Trump massive wins on immigration agenda
The Supreme Court’s conservative majority delivered President Donald Trump a pair of significant affirmations of his immigration policy Thursday, paving the way for the administration to effectively remove more than 1 million people from the US and keep many others from entering in the first place.
These Churches Are Putting Family Before Politics
Close to 70 percent of Black children in America are born to unmarried parents. Nearly half live with a single mother. Both figures are significantly higher than the national average and reflect the steep decline in marriage among African Americans since the 1960s.
Merck KGaA to Acquire Bio-Techne for $11.3B, Expanding Life Science Tools Presence
Merck KGaA, Darmstadt, Germany, has agreed to acquire Bio-Techne for approximately $11.3 billion, the companies said today, in a deal designed to position the buyer as more of a leader across the life science value chain by expanding its presence in high-growth, next-generation life-sci markets with Bio-Techne’s tools, analytical technologies, and consumables.
The Supreme Court lets Trump deport people back to war zones
Trump’s administration may ignore procedural rules governing many of the most endangered people in America.
Breaking down EA Sports' College Football 27 team ratings: who's too high, who's too low?
EA Sports College Football 27 team ratings spark debate, with Georgia, Alabama, and Clemson among teams arguably rated too low for their talent.
Romeo Doubs' Exit Could Raise the Stakes for Jordan Love in Green Bay
Jordan Love and the Green Bay Packers are eyeing a bounce-back campaign in 2026. The Packers opened the 2025 season with a strong start, posting a 9-3-1 record through their first 13 games, before a flurry of injuries derailed Green Bay's Super Bowl hopes. Since taking over as Green Bay's starter under center, the Utah State product has shown flashes of a top-five signal-caller, though the team hasn't yet made it past the divisional round under his leadership.
Consumer Discretionary Stocks Drawing Institutional Rotation Into Live Entertainment Leaders
With the Federal Reserve hinting at a pause in rate hikes, stubborn inflation still in the background, and several large companies surprising on earnings, consumer discretionary stocks are back in focus for investors weighing risk and opportunity. This article looks at how that mix of easier policy signals, solid corporate reports, and ongoing geopolitical and supply chain issues could affect larger U.S. consumer-focused companies. It will walk through 3 stocks from a curated screener that...
Platner, Collins’ campaign spar over federal contracts
Platner released a multi-point plan he calls “a corruption crackdown,” which covers issues such as big money in politics, lobbying activities by former members of Congress, and making it more difficult for presidents to cash in on their position while in office.
Trump’s politics of emergencies leaves GOP allies scrambling again
In upending plans to sign a bipartisan housing bill, the president illustrated one of his favored tactics: declaring a policy preference to be an emergency.
Smile spacecraft reaches science orbit
The European-Chinese Smile mission reached its designated science orbit on June 20, 2026. The team is now embarking on a two-month campaign to commission the spacecraft, which involves switching on and ...
Major blow for MacBook Ultra: Apple said to cancel M6 Pro and M6 Max
The Apple MacBook Ultra will either be released with the older Apple M5 Max, or its launch will be significantly delayed. This is because Apple is said to have halted development of the Apple M6 Pro and M6 Max in order to focus on the M7 series instead, which is expected to offer significantly stronger AI performance.
Samsung Reportedly Starts OLED Panel Production for Apple’s First Foldable iPhone
Apple reportedly cleared Samsung Display to make OLED panels for its first foldable iPhone, with hinge issues still shaping launch timing.
Usha Vance mocks NYT article over 'political significance' of pregnancy outfits
Second lady Usha Vance mocks a New York Times article scrutinizing the 'political significance' of her maternity outfits.
Merck KGaA bolsters life sciences business with $11.3B Bio-Techne buy
The deal comes a matter of weeks after Kai Beckmann was promoted to CEO at Merck and signalled his intent to broaden the company's scope for M&A.
19th Hole party zone brings entertainment, drinks, and live music to Wichita Open
The 19th Hole at Crestview Country Club has become one of the tournament’s signature attractions, offering live entertainment, local vendors, cocktails, games and a lively atmosphere throughout the four-day event.
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 […]
Federal judge halts Trump’s election executive order seeking to create a federal voter list
It was the second ruling in as many days against executive orders Trump has signed seeking oversight of the nation's elections.
Democratic socialists cemented power in New York. Next, the rest of the country?
The wins would not have been possible without significant support from Black and Latino voters who favored them over establishment candidates.
Bungie hit with ‘significant’ layoffs after ending Destiny 2
More bad news for the Marathon studio.
Nothing Phone (4b) design goes official with unibody & Glyph Bar, not coming to the US
Ahead of its July 7 launch date, Nothing has confirmed that Phone (4b) won't launch in the US while also showing off the new design.
An Update from PlayStation Studios
Below is an internal email from Hermen Hulst, CEO, Studio Business Group, Sony Interactive Entertainment distributed today to SIE employees. ********************************************************************************** Dear Team, Today I want to share a difficult update regarding Bungie. We have made the decision to reduce Bungie’s workforce, affecting a significant number of employees, including most of the Destiny team and some Marathon team members. There are also reductions across SIE teams that support […]
How Elifin is reshaping the commercial real estate playbook
Elifin is leveraging a decade's worth of proprietary commercial real estate data as well as artificial intelligence to reshape how properties are marketed, analyzed and sold. The Baton Rouge-based … Already an INSIDER? Sign in. Already an INSIDER? Sign in
A new vision for quantum computing takes a big step forward, with new grant
A $4 million National Science Foundation grant will propel the next phase of a Yale-led project to build a quantum computer with an innovative new design.
Lane County Public Health to slash jobs as it weathers federal healthcare cuts
Lane County’s Public Health Department announced significant budget reductions as federal healthcare cuts approved by Congress in the so-called Big Beautiful Bill, or H.R.1, go into effect.
Can your smartwatch detect sleep apnea?
No smartwatch can actually diagnose sleep apnea, but some can track certain signs that might indicate you have the condition.
Ohio State–led team secures NSF award to advance to next phase of the National Quantum Virtual Laboratory program
The Ohio State University is strengthening its growing prominence in quantum science, technology, and education with a $4 million, two‑year Phase II design award from the U.S. National Science Foundation (NSF) to advance a national effort focused on next‑generation quantum sensing.The funding is helping to bring together top researchers and ...
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
Suspect in $5,000 Academy Sports theft arrested
MEMPHIS, Tenn. — A man accused of stealing over $5000 worth of merchandise from Academy Sports and Outdoor over a span of two days earlier this month is now in jail. Carltrell Taylor, 39, is …
Apolosign Digital Calendar and Portable TV for Family Organization and Home Entertainment
NEW YORK, June 25, 2026 (GLOBE NEWSWIRE) -- Apolosign, a smart family display brand serving more than one million households worldwide, today an...
Scientists discover how a single cell builds a brain with 170 billion cells
How does a single cell build a brain with billions of precisely organized neurons? Researchers suggest that brain cells use their lineage—their cellular family tree—as a kind of positional map. Cells that come from the same ancestor stay near one another, helping the brain organize itself without relying solely on chemical signals.
FDA-approved drug may finally help immunotherapy defeat rare liver cancer
Researchers found that a rare liver cancer evades immunotherapy by luring immune T cells away from the tumor and trapping them in nearby fibrous tissue. An FDA-approved drug called AMD3100 freed those T cells to attack the cancer, significantly improving the effectiveness of immunotherapy in tumor samples.
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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Political parties have a primary role to play in tackling online violence against women and gender diverse politicians. While the prevalence and impact of TFGBV, such as coordinated disinformation campaigns, deepfake image-based sexual abuse or trolling are well documented, many parties are still building their knowledge on how to respond effectively and have not put in place internal practices and policies that respond to the rapidly evolving, poorly regulated digital ecosystem. About the ReportIn order to promote and protect fair and democratic participation in politics, this ALIGN Report explores what political parties are doing in response to TFGBV and what factors shape their action. The findings, based on existing literature and interviews with gender and politics professionals, indicate there are three sets of factors which donors, civil society and practitioners should consider when designing action to support political parties to respond to TFGBV internally. These are: (1) gender norms; (2) socio-political environment; and (3) internal party factors.Key messagesUnequal gender norms are ubiquitous across politics, shaping expectations of leaders to be strong and assertive, and practices of political parties to uphold masculinist values and sustain cultures of silence. These often lead to weak response to TFGBV against women politicians.The socio-political context can incentivise or disincentivise action, depending on the salience of gender issues, which are increasingly weaponised. Electoral competitiveness, domestic laws (i.e. quota requirements), and even the political system or global normative frameworks influence political will to act.Internal party factors that shape responses will vary across countries and contexts, but include: structures to enforce codes of conduct, policies and reporting mechanisms on (TF)GBV, political ideology, extent of centralisation of leadership, and crucially the meaningful participation of women in decision-making positions, not least through internal women’s wings.Party responses can be seen as a spectrum, with actions falling between active discouragement to address TFGBV to commitment to transform unequal norms and practices within the party.About the ToolkitTogether with the report, this ALIGN toolkit offers gender professionals and others working on democratic strengthening a set of guiding questions and reflection prompts to identify which responses could be most effective and suitable in different contexts. These actions can complement other solutions to TFGBV, such as regulations promoting safety by design. The assessment spans a broad range of factors including: (1) different manifestations of gender norms, (2) the socio-political environment and (3) internal party structures.Key messagesPolitical parties are duty-bound to take action internally to respond to the significant threats posed to women members and candidates, including from their own party colleagues, affiliates and political peers.Existing party approaches to TFGBV can be assessed along a spectrum which ranges from active discouragement and passive acceptance to minimal response and transformative change.To generate effective and context-appropriate solutions to TFGBV, it is important to consider how gender norms shape leadership expectations and internal party practices, while also analysing the impact of the socio-political environment. While actions to support women to stay safe online are very common, codes of conduct and measures to strengthen women’s voice and power in the parties are proposed as most transformative solutions.
Politics: What Donald Trump’s Defense Policy Means For Black Service Members
Black Americans serving in the U.S. military have long lived with a great contradiction. The country they’re fighting to protect is the same one that’s failed to serve and protect them.Despite this, Black Americans continue to enlist. There are over 350,000 Black active duty and select reserve members and more than 2.4 million Black veterans. That’s according to the Institute for Veterans and Military Families at Syracuse University.This year, Defense secretary Pete Hegseth has blocked or delayed the promotions of more than a dozen Black and female senior officers. He’s also dismissed several high-ranking Black and female officers, according to The Atlantic. This comes amid the second Trump administration’s aggressive rollback of programs and policies connected to diversity, equity and inclusion.Black military members have always battled discrimination. But for some, this is a step too far in the wrong direction. So, what does their future hold? And what does it mean for the U.S. military?Find more of our programs online. Listen to 1A sponsor-free by signing up for 1A+ at plus.npr.org/the1a.
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