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Inside California Politics: Hilton challenges Becerra to debate
(Inside California Politics) — Steve Hilton is challenging his Democratic rival to a debate, calling on Xavier Becerra to “man up and show up” to a televised showdown. This week, the Re…
Cowboys gave an unusual challenge to an important player
The Cowboys staff got creative in challenging one player.
Survey: Small business optimism picks up in Iowa, nation
Many small businesses around Iowa and the nation are seeing “encouraging developments” while also experiencing challenging times, according to a recent survey. The NFIB (National Federation of Independent Business ) Small Business Optimism Index rose 2.1 points in June to 97.4, nearing its 52-year average of 98. Expectations for better business conditions and real sales […]
Judge rejects lawsuit from 26 states challenging Medicaid work requirements
A U.S. District Court judge ruled that the states were unable to show they would be irreparably harmed by complying with the policy, as the Centers for Medicare & Medicaid Services is covering 90% of the associated costs.
Cowboys Receive Clear Message Involving Raiders’ Maxx Crosby
The future of Las Vegas Raiders‘ Maxx Crosby will be a talking point from now until the trade deadline in a couple of months. If Crosby shows that he’s his usual game-wrecking self, teams will call the Silver and Black.Moreover, if Las Vegas gets off to a challenging start, the question will be whether they’ll […] The post Cowboys Receive Clear Message Involving Raiders’ Maxx Crosby appeared first on HEAVY.
'Show me how this ends.' Thune responds to Trump’s escalated calls to pass SAVE America Act
Senate Majority Leader John Thune responded to President Donald Trump's escalating calls Monday to cancel the August recess until the Senate passes a proof-of-citizenship voting bill by again challenging the president.
Ken Paxton has survived years of scandals. Can James Talarico change that?
Democrat James Talarico is challenging Republican Ken Paxton in a closely watched U.S. Senate race in Texas.
Years of scandals haven't stopped Ken Paxton. Can James Talarico change that?
Democrat James Talarico is challenging Republican Ken Paxton in a closely watched U.S. Senate race in Texas.
Vaibhav Sooryavanshi scripts history, creates world record at just 15
Vaibhav Sooryavanshi became the youngest Player of the Series winner. He achieved this milestone after India's T20I series victory over Zimbabwe. Sooryavanshi was the leading run-scorer with 151 runs across three innings. He scored a match-winning 81 runs in the final T20I match. This award followed a challenging series for the young cricketer in England.
There are political races in Arkansas this year
They aren’t getting a ton of attention, but there are races for Congress and the U.S. Senate in Arkansas this year. Democrats are challenging Republican incumbents in all four Congressional...
Small businesses file lawsuits against Trump's new sweeping tariffs
Trump’s tariffs are headed to court — again. Two lawsuits filed by small businesses are challenging Trump’s sweeping tariffs announced Thursday that impose double digit levies on 60 trading...
U.S. small businesses file lawsuit challenging Trump's new 'forced labor' tariffs
Two U.S. small businesses on Friday challenged President Donald Trump's latest round of tariffs on goods from 60 trading partners, saying that the new policy, like most of Trump's previous tariffs, went beyond the president's authority to tax imports.
Political attack bombshell rocks Tallahassee city commission races
A political sneak attack has led Jeremy Matlow's campaign manager to resign and has City Commission candidate Talethia Edwards explaining body camera video of her challenging police.
Why the fastest-growing Ebola outbreak in history is becoming more challenging
More than 1,000 people have died in eastern Congo’s latest rare Ebola virus outbreak.
‘We need someone who’s going to be pragmatic’: David Crowley on challenging a democratic socialist in the WI Gov. race
Politics Unplugged (Full Episode) July 19, 2026
On this episode of Politics Unplugged, political editor Dennis Welch sits down with Joana Mendoza — a former Marine Corps drill instructor and Democratic candidate — who is challenging incumbent Republican Juan Ciscomani in Arizona's Congressional District 6, discussing affordability, immigration, and ICE reform. Then, with Arizona's primary election just days away, Welch brings in Republican consultant Chip Scutari and Democrat Stacy Pearson to break down the most competitive races, including the GOP governor's primary between Andy Biggs and David Schweikert, the attorney general's race, and a crowded CD1 field. The panel also weighs in on what the early ballot returns and independent voter enthusiasm could signal heading into the general election this fall.
Traveled with my older parents in 70s to another country; challenging
Traveling abroad to Japan with my elderly parents, who are in their late 70s, came with mistakes and surprises. I wish we'd done the trip sooner.
Why Mega Mergers Like Paramount-Warner Bros Are Big Business for Big Law
A decision by the EU on the Paramount-WMD megadeal is expected this week. Mandates like Paramount’s bid for Warner Bros. are challenging and the reason that Brussels has the highest saturation rate of Global 200 firms present of any European city.
Oregon business association challenging constitutionality of BOLI bill
Oregon Business and Industry and two others filed a lawsuit arguing lawmakers violated the constitution when they passed a bill to fund Oregon BOLI.
Vieu launches AI-ready map of business relationships, challenging sales-tech incumbents
Vieu, a Seattle startup founded by former Microsoft leaders, launched its "Business Graph" — a live map of business relationships built from observed signals like shared work history and board affiliations, rather than the self-reported connections on LinkedIn.
Vieu launches AI-ready map of business relationships, challenging tech incumbents
Vieu, a Seattle startup founded by former Microsoft leaders, launched its "Business Graph" — a live map of business relationships built from observed signals like shared work history and board affiliations, rather than the self-reported connections on LinkedIn.
Semaglutide dose may matter more than weight loss for heart health
The study shows semaglutide's cardiovascular benefits are more closely tied to attained dose than weight loss, challenging existing treatment assumptions.
Health department rescinds freeze on $10 billion for 5 Democratic states
The reversal of the funding pause came after the administration faced repeated setbacks in a suit challenging the decision, which could have jeopardized programs for low-income households.
Health Dept. Rescinds Freeze on $10 Billion for 5 Democratic States
The reversal of the funding pause came after the administration faced repeated setbacks in a suit challenging the decision, which could have jeopardized programs for low-income households.
New York among 12 states challenging Paramount’s takeover of Warner Bros.
The lawsuit argues that the $81 billion mega merger would “extinguish competition” in Hollywood and threaten jobs across the industry.
New Soulslike from the Pokémon team is confusing, challenging, and such a blast
Act like you know what you're doing
NEW DATA: Ohio Small Businesses Rank Similarly to Businesses Nationwide
Labor quality is a more challenging issue in Ohio than nationwide.
Q&A: New research questions the science behind cry~it~out sleep training
New JMU research is challenging one of the most widely accepted parenting practices in the U.S.: cry-it-out sleep training
Where you live could shape your dementia risk, massive study finds
Researchers analyzing data from more than 214,000 people found that dementia risk factors differ widely across countries, challenging the idea of a one-size-fits-all prevention strategy. At the same time, they uncovered surprisingly consistent patterns that could help shape smarter, more targeted public health efforts.
"These decisions are challenging at times, but when …
"These decisions are challenging at times, but when …
I moved back to my hometown, lost job at 36; helped me rebuild my life
After a challenging breakup, I moved back home to New Orleans. Six months later, I lost my job. I felt like a failure, but my hometown helped heal me.
SSM Health challenging votes in nurses' union election
In June, nurses at SSM Health St. Mary’s Hospital voted overwhelmingly to form a union.
Judge dismisses suit challenging Sen. Tuberville's eligibility to run for Alabama governor
A judge on Thursday dismissed a lawsuit alleging U.S. Sen. Tommy Tuberville does not meet the residency requirement to run for governor of Alabama.
SSM Health challenging recent union election at St. Mary's hospital in Madison
Ahead of the vote, the health system challenged the eligibility of the hospital’s charge nurses to vote in the election. And after the vote, SSM filed objections to the conduct of the election with the National Labor Relations Board.
Trans athletes drop lawsuit to gain access to girls' sports in New Hampshire after SCOTUS ruling
Trans athletes Parker Tirrell and Iris Turmelle dismissed their lawsuit challenging the state law after the Supreme Court's landmark Title IX ruling.
FSU sports scientist shares the keys to staying fit in your 40s
Staying fit can become more challenging as you enter your 40s, when natural biological changes begin to affect muscle mass, metabolism and more. A massive
Zoox grows number of active users as robotaxi wars continue
Amazon's Zoox doubles active users in 2026, challenging Alphabet's Waymo in the robotaxi market with expansions in major U.S. cities.
Fast-food chains face growing competition from grocery stores
Fast-food chains face new competition as grocery stores expand prepared-food options, challenging traditional drive-thru value meals.
Politics Unplugged (Full Episode) July 5, 2026
State Senator Analise Ortiz discusses No Safe Seats, an effort to raise money for progressive Democrats who are challenging establishment Democrats in the state. Plus, former Democratic lawmaker Reginald Bolding and Republican businesswoman Christine Jones discuss the Supreme Court ruling upholding birthright citizenship. Then, Reginald and Christine talk about the Department of Justice investigation into Senator Roben Gallego.
Burcum: Minnesota's most important health care deal in years needed a referee. Ellison volunteered.
The challenging work of brokering a new 10-year deal between a feuding U and Fairview wasn't really in Keith Ellison's job description. But he stepped up anyway, columnist Jill Burcum writes.
Representative Joyce Beatty Still Celebrating Victory in Kennedy Center Legal Battle
Representative Joyce Beatty, Democrat of Ohio, said her lawsuit challenging the president’s changes to the performing arts center was a fight for justice.
Climate scientist who “proved” humanity is warming Earth says government report got it wrong
A pioneering climate scientist is challenging a U.S. government report that cited his research while reaching what he says is the exact opposite conclusion. Benjamin Santer and his colleagues say decades of satellite data clearly reveal the atmospheric “fingerprint” of human-caused climate change. Their new peer-reviewed analysis argues the report contains major scientific errors and should not be relied upon in climate policy decisions.
ASU scientists unveil new methods to extract reliable truth from imperfect data
Scientists at Arizona State University are advancing how they interpret complex, imperfect data — challenging long-standing assumptions in fields ranging from imaging to cellular biology. In two papers published in Nature Communications and Proceedings of the National Academy of Sciences, the team introduces fundamentally new approaches to solving “inverse problems,” where researchers work backward from noisy observations to uncover the underlying reality.
Public-Health Officials Cross Their Fingers During World Cup
Despite a challenging nationwide climate for disease prevention and control, officials in Texas are stepping up their efforts at the 2026 World Cup.
Miami Dolphins Discussion: 2026 NFL Schedule Edition
As the Miami Dolphins enter another season under a new regime and navigate significant roster changes, there is a palpable sense of uncertainty surrounding the team. Like many of you, however, I am eager to see how the squad performs once the regular season begins. Miami faces a challenging road ahead, as the team is […]
A $1000 PlayStation 6 No Longer Sounds Crazy, As Sony Doesn’t Intend To Sell Hardware At Significant Losses
The PlayStation 6 is set to launch at one of the most challenging times for consumer tech, if not the most challenging. With the rising prices of components, RAM and SSDs above all, manufacturers are having an extremely hard time keeping costs down, and with a bill of materials that is now close to $1000, there's a very high chance the system will cost way more than most anticipated. Adding fuel to the fires of speculation is Sony itself, as the company heavily suggested in a recent investor Q&A session that it won't heavily subsidize the system. "We regard hardware as the base […]
Progressives look to Colorado as next test of a rising movement
Melat Kiros, a 29-year-old democratic socialist and lawyer, is challenging 15-term Rep. Diana DeGette for a solidly blue seat in Denver, where she and her allies hope voters are ready for change.
How AI is changing and challenging healthcare access
More people are consulting bots in place of physicians and therapists
How AI changing and challenging healthcare access
More people are consulting bots in place of physicians and therapists
Democratic candidate challenging Rep. Lawler on her bid to ‘tear down political silos’
New York U.S. House candidate and combat veteran Cait Conley (D) joins Meet the Press NOW following her primary win. She faces incumbent Republican Rep. Mike Lawler in one of November’s most closely watched races as Democrats try to flip the House.
New York’s primaries signal a new force in US politics
Progressive, Muslim and Arab American candidates are challenging old limits on debate over Israel and Palestine.
‘The Hot Zone’ led me to work with Ebola patients. Now I have mixed feelings about the book
“The reality of Ebola is simultaneously less sensational and far more challenging than most people imagine,” writes Krutika Kuppalli.
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.
South Korea juggles digital sovereignty and alliance politics
South Korea’s closest allies are increasingly challenging its control over digital platforms, data and technological infrastructure.
To age better, we need to rethink health itself
Challenging conventional thinking has historically brought new ways to maximize health and improve quality of life while ageing. Here's what's needed now.
Scoop: Bobby Pulido headlined school benefit with registered sex offender
Pulido is challenging Rep. Monica De La Cruz in Texas' 15th district.
I went on a blind date at Hyrox. It was fun, sweaty, and challenging.
I never thought I'd have a blind date at Hyrox, but I met a guy and did a good workout. It's part of a trend that focuses on lifestyle compatibility.
I went on a blind date at Hyrox. It was fun, sweaty, and challenging.
I never thought I'd have a blind date at Hyrox, but I met a guy and did a good workout. It's part of a trend that focuses on lifestyle compatibility.
5 Foods That Contain Both Protein and Fiber
It’s challenging to find the two nutrients in a single food, experts say. These categories offer a nice mix.
Tandy's Wales prepare for challenging summer of travel
Welsh domestic rugby might have finished at the end of May but there is very little rest for the Welsh national men's side this summer.
California state workers union warns of mass exodus with Newsom’s return to office order
California state workers are challenging a new mandate requiring them to return to the office four days a week starting July 1, as lawmakers advance a bill to ensure telework options.
Mamdani won New York opposing Israel. Now, his movement wants power in Congress.
Across New York, a set of candidates backed by Mayor Zohran Mamdani are challenging incumbents they say are not progressive enough on Israel.
Scheffler career Slam chances blowing in Shinnecock winds
Scottie Scheffler's chances of winning the US Open to complete a career Grand Slam might just come down to how the fickle winds of Shinnecock blow this weekend.Playing in the wind is extremely difficult and judging speed on putts when the wind is blowing that hard can be challenging," Scheffler said.
Reframing exercise: How simple physical activity boosts health | Harvard T.H. Chan School of Public Health
For many people, consistent exercise feels daunting — an all-or-nothing proposition in which setbacks signal failure and advice overwhelms. This discussion reframes physical activity as something accessible and sustainable by challenging common myths about exercise.
Socialist Surge: Mamdani flexes growing political muscle as he takes on Democratic Party establishment
Mayor Zohran Mamdani teams up with Sen. Bernie Sanders at a Brooklyn rally to boost progressive candidates challenging Democratic congressional incumbents.
OtherSide Entertainment cuts 17 jobs after Argos cancellation
The studio argues that "brutally challenging" industry conditions meant that the project was "unviable for now"
Mamdani tests his political clout in New York's primary as he looks to reshape the Democratic Party
New York City Mayor Zohran Mamdani is testing the limits of his newfound political muscle in a bid to reshape the Democratic Party, even if it means challenging his own party’s leadership
Mamdani tests his political clout in New York's primary as he looks to reshape the Democratic Party
New York City Mayor Zohran Mamdani is testing the limits of his newfound political muscle in a bid to reshape the Democratic Party, even if it means challenging his own party's leadership.
Texas: 3 games that will define 2026 season
The Texas Longhorns have three challenging games in the regular season that will decide if the team competes for the CFP.
Cal Fire expands aerial fleet amid jetfuel concerns
Cal Fire is enhancing its firefighting capabilities with new aircraft and increased staffing as it prepares for another challenging fire season in California, even as the state faces budget issues and uncertainty around fuel this summer.
Retiree saved $16K, sold condo without a real estate agent
A retiree sold her condo using an AI platform, challenging traditional real estate norms. She's never liked paying commission fees.
Alien planet spins revealed a hidden clue to how worlds form
Using the Keck Observatory, astronomers measured the spins of dozens of giant planets and brown dwarfs orbiting distant stars. They found that giant planets can spin faster than much more massive brown dwarfs, challenging simple assumptions about mass and rotation. The results suggest that magnetic fields and formation processes play a major role in determining how fast worlds end up spinning.
Your brain can keep improving into your 90s, study finds
A three-year study of nearly 4,000 adults ranging from age 19 to 94 found that brain health can improve at any age, challenging the common belief that mental sharpness must decline as we get older. Participants spent just a few minutes a day on brain-training activities, and researchers found measurable gains across multiple aspects of brain health, including thinking clarity, emotional well-being, and sense of purpose.
Your brain can keep improving into your 90s, study finds
A three-year study of nearly 4,000 adults ranging from age 19 to 94 found that brain health can improve at any age, challenging the common belief that mental sharpness must decline as we get older. Participants spent just a few minutes a day on brain-training activities, and researchers found measurable gains across multiple aspects of brain health, including thinking clarity, emotional well-being, and sense of purpose.
That nightly glass of wine could carry hidden health risks, new study finds
A new study suggests that no amount of alcohol is safe, challenging the belief that moderate drinking benefits health. Even one drink raises mortality risk.
Nightly glass of wine may not be as harmless as many people think, study suggests
A new study suggests that no amount of alcohol is safe, challenging the belief that moderate drinking benefits health. Even one drink raises mortality risk.
Lovelace Health System cuts 43 employees amid 'challenging policy environment'
Lovelace Health System confirmed they cut around 43 people from its workforce, citing rising costs and a "challenging policy environment."
How preparing for the 24 Hours of Le Mans is unlike anything else in sports
The iconic and grueling 24 Hours of Le Mans is the most challenging race in motorsports. It's also the race everyone wants most to win.
Ravens coach uses expletives with Lamar Jackson during challenging OTAs
Baltimore Ravens quarterback Lamar Jackson says he's being challenged by new offensive coordinator Declan Doyle this offseason.
Tim Allen says 'personality problems' with onscreen sons has halted 'Home Improvement' revival
Tim Allen's plans for a 'Home Improvement' return has been made 'challenging' due to 'personality problems' with the actors who played his sons on the '90s sitcom.
Campbell’s CEO: “Tough decisions” loom for struggling snack business
While the Goldfish maker is making progress to improve the operation, its top executive warned the turnaround will “take some time” amid a challenging environment.
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
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