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ERISA’s Important but Limited Role in Health Care Cost Containment
Executive Summary Rising health care costs have brought renewed attention to the Employee Retirement Income Security Act of 1974 (ERISA) as policymakers and advocates look for new ways to address increasingly expensive employer-sponsored coverage. Leveraging requirements under ERISA appears attractive because other cost-containment efforts have had limited success, making the statute seem like a potential […]
Netflix and Superheroes Are Having a Rough Stretch on Streaming....
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) I have a quick prediction before we start today’s article: You might see this data in future news articles. Not my specific charts or analysis, but the core trend I’ve been monitoring—Netflix is having a lackluster Q2—will become inescapable. Often, folks want to know “What does the data say?” Well, that’s what it says. I haven’t seen this analysis hit the trades really yet, but I have a feeling some other outlets are going to start making this case soon. Remember, you read it here first. You probably have read about the problems facing superhero films at the box office this weekend. Well, this week, I explore whether superheroes are dying on TV as well! And the data says: definitely maybe! We have a lot to cover in today’s Streaming Ratings Report, which covers the two weeks of 18-May and 25-May. Today, I’m just looking at TV, like Netflix’s disappointing Q2, superhero shows underwhelming, a few TV shows dropping off the charts, The Pitt finally ending its epic run on the viewership charts (and whether “view counts” change its status as one of the biggest shows of all time), all the flops, bombs and misses, and a whole lot more. Tomorrow, I’ve got a great rundown of the film side of things. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, Showlabs, TV Time trend data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of May 18th to May 31st, 2026. You can find a link to my terminology here.) Subscribe Television - Netflix’s Q2 Slump Continues Having analyzed streaming ratings for going on half a decade, I have learned to trust my gut, but I’m always relieved when I can find actual data to back it up. For example, after a string of very popular shows like Stranger Things, Bridgerton, The Lincoln Lawyer and The Night Agent came out, week after week, in January and February, my gut wondered if Netflix had enough new and returning TV shows to sustain them throughout the year. Since then, Netflix’s post-March slate of shows has not impressed me. This week seemed to feature a potential new hit, but then, like a classic Duffer Bros. TV show, there was a twist. I speak of The Boroughs, Netflix’s latest (and last) Duffer Bros. produced show. The pitch is “Stranger Things with older actors”. And it topped the Nielsen charts: With just two weeks of viewership, The Boroughs would have been a top 25 debut show last year: But here’s the twist: Netflix has already cancelled The Boroughs! What happened? Likely a few things. First, the show didn’t do as well globally as it did in the US. As What’s on Netflix showed, it lagged behind several other shows that got cancelled. Second, its completion rate was likely low; after an initial burst of interest, it quickly dropped off on the Samba TV and Luminate charts. Third, the Duffer Bros. left Netflix for Paramount, and that may have factored into Netflix’s decision here. (Though I tend to believe that if a show is doing well, Netflix would have kept greenlighting seasons.) Still, just because I can explain why Netflix may have cancelled this show doesn’t mean I’m justifying it. In particular, as I’ve noted before, Netflix is losing a lot of their bigger shows as they reach their natural ends, and they need to replace those shows. This show had the hallmarks of a big new genre show, and it’s their biggest hit of the last few months (in the US at least), but now it’s done. Netflix’s other show this week—The Four Seasons, the second season of the “hit” show from last year—definitely disappointed. Its sophomore season had about half the viewership of the first, only 12.7 million hours. It also only had a two week run on Samba TV, and its numbers were all down on Luminate too. In other words, even with two successes, the Q2 slump for Netflix looks real: I could add to the list of disappointments: Both Lord of the Files and Man on Fire had short runs on the Nielsen charts. Running Point’s sophomore season also opened to about half its viewership, similar to The Four Seasons. A Good Girl’s Guide to Murder’s second season—see below—didn’t even make any of the three viewership charts I track, unlike the first season. Netflix is absolutely having a dismal second three months of 2026. If this Nielsen data is any indication, and I think it is, I think this will show up in Netflix’s engagement report, and maybe even their financial outcomes. And the rest of June doesn’t look much better. We have two hit shows coming back—Sweet Magnolias, one of their quietest big shows, and Avatar: The Last Airbender, a big hit for them in 2024—but the other big swings are limited series crime thrillers i.e. no future season potential. Like I said above, sometimes when I uncover a juicy nugget like this, other outlets end up writing very similar articles mimicking the data without credit. We’ll see if that happens this time! Share Television - The State of Superhero Shows on Streaming When I first heard the pitch for Spider-Noir—a Sony TV show on Prime Video that binge-released eight episodes first on MGM+ then on Prime Video two days later—I had my doubts. It’s a live-action Spider-Man show set in the 1930s, starring Nicholas Cage, based on a cameo of a character in Spider-Man: Into the Spider-Verse. No, seriously, that’s the pitch. That could either go terrifically well or horribly wrong. Great because, Spider-Man. He’s the biggest superhero we have. I’ve seen tracking numbers that put the new _Spider-Man: Brand New Da_y as the blockbuster of the year and initial pre-sales back that up. And yet this Spider-Noir pitch feels very esoteric. (Also, the eight-episode binge release feels very “Amazon copying Netflix” again.) So what’s the data say? And what does this say about the future of superhero shows?
Philadelphia health officials making plans to keep residents safe during "dangerous heat wave"
Philadelphia will declare a heat health emergency when the heat index reaches 100, which is expected on Wednesday.
WhatsApp Is Making Its Biggest Change in 17 Years—and It's a High-Stakes Race for Businesses
The Meta-owned messaging app just unveiled a massive privacy shift that could change how businesses and customers interact.
Watch out, Amazon: the Kobo eReader now has a Goodreads rival
Kobo users can now automatically sync their reading progress to StoryGraph, making it easier to track books, reading stats, and challenges without relying on Amazon’s Goodreads.
Apple says it is releasing updates early in response to AI cybersecurity concerns
Apple said it is pushing forward a series of software updates that would previously have been bundled with a new version of its iOS operating system, making them available earlier than in previous cycles in response to AI-driven security concerns.
FDA approves surgical device for high-risk aortic procedures
The AMDS Hybrid Prosthesis was designed to help clinicians treat DeBakey Type 1 dissections complicated by malperfusion. It works as a complement to hemiarch replacement, preserving the native arch and making reinterventions possible if needed.
Companion Cube Steam Machine canceled after Dbrand angers Valve
I'm making a note here, "Huge blunder"
TIDAL cracks down on AI music by cutting off monetization
TIDAL's new policy will prevent AI-generated music from making money on its service.
Red-Pilling Speculation | Los Angeles Review of Books
From Ayn Rand to QAnon, a new anthology explores how reactionary world-building becomes reactionary world-making.
Texas Democrats leave convention united in effort to end GOP’s 30-year hold on state politics
Texas Democrats spent their 3-day convention in Corpus Christi rallying party activists, training volunteers and making the case for Democratic policies and candidates across the state ahead of the 2026 midterm elections.
FAIR Health Price-Informed Tools Support Healthcare Decisions Among Diverse Older Adults
/PRNewswire/ -- Price-informed shared decision-making tools developed by FAIR Health, a national, independent nonprofit, can facilitate meaningful healthcare...
Patriotic movies to stream to celebrate America's 250th birthday
Patriotism on screen comes in all different forms. It's politicians, athletes, soldiers, pilots, journalists — people from all walks of life, coming together in ordinary and extraordinary ways and making
Morris rides into orange and purple western town with unfinished business
In the '“Wild West” phase of college football, returning offensive coordinator Chad Morris is making a new mark at Clemson.
South Korean tech giants to build a $518 billion chipmaking hub to serve soaring AI demand
South Korean tech giants Samsung Electronics and SK Hynix plan to invest a combined $518 billion in a new computer chip manufacturing hub, capitalizing on surging artificial intelligence-driven demand.
America 250: L.A. Threads its Fabric
A decade ago, fashion newcomer Ari Jogiel turned a hat-making passion project into a one-stop-shop garment factory. At his namesake full-package company,
These fat-filled brain cells may be making multiple sclerosis worse
Scientists have uncovered a surprising clue that may help explain why multiple sclerosis (MS) progresses rapidly in some people but not others. In brain tissue from patients with severe MS, researchers found large numbers of “foamy” immune cells packed with fat droplets after absorbing damaged myelin. These overloaded cells appear to switch from helping repair the brain to fueling ongoing damage and inflammation.
Philippines leads the world in rush to solar as power prices soar
People in the Philippines are flocking to install solar power on rooftops and escape the burden of soaring electricity prices, making it the world's biggest spender on solar panels since the war in Iran started.
Being broke costs you 13 IQ points, according to science. Here's the number that changes everything.
CreditNinja reports that saving your first $10,000 unlocks financial stability, improving decision-making and reducing stress, ultimately boosting cognitive function.
Vallejo: Armed Suspect Arrested After Allegedly Making Death Threats At Business
Police have arrested a man after he allegedly brandished a gun and made death threats to customers at a business in Vallejo, police said Sunday.
Efzimfotase alfa demonstrated improvements in bone health in treatment-naïve pediatric patients with hypophosphatasia achieving median difference of 1.67 vs placebo in RGI-C Score at week 25 in MULBERRY Phase III trial
Positive results from the MULBERRY Phase III trial showed that efzimfotase alfa (ALXN1850), an investigational enzyme replacement therapy, demonstrated a statistically significant and clinically meaningful improvement in bone health in children (2 to
Texas Democrats leave convention united in effort to end GOP's 30-year hold on Texas
Texas Democrats spent their 3-day convention in Corpus Christi rallying party activists, training volunteers and making the case for Democratic policies and candidates across the state ahead of the 2026 midterm elections.
I Put Apple CarPlay In My Wife's 2006 Toyota 4Runner And I'm Never Looking Back
Despite its 300,000 miles we're not getting rid of the 4Runner anytime soon, so it was worth making a small investment to bring its infotainment into the 2020s.
Bills decline to honor O.J. Simpson in making the move to new stadium
Simpson died two years ago, and his reputation became forever stained by charges that he killed his former wife and her male friend in 1994.
Hornets reportedly trading Miles Bridges to Suns for Grayson Allen, Royce O'Neale, 1st-round pick
Charlotte continues its offseason overhaul after nearly making the NBA playoffs this past season.
3 Traps Health Systems Fall Into When Trying to Improve Their Culture
Cultivating a positive culture is a priority for hospital leaders, but many are making avoidable mistakes. Myra Gregorian, Seattle Children's chief people and transformation officer, outlined some of these common blunders — such as not involving frontline staff in decision making and assuming that simple communication methods are sufficient.
Science says these 7 parenting beliefs may be quietly making life harder for parents and children
Every parent wants to give their child the best possible upbringing. But in trying to be the “perfect parent,” many may be putting unnecessary pressure on themselves. A 2023 survey of more than 700 parents by researchers at Ohio State University found that 57% reported experiencing parental burnout. Surprisingly, the biggest predictor wasn't the number of children they had or how many hours they worked- it was the pressure to live up to an impossible standard of parenting. Child development experts say many of the beliefs parents consider signs of “good parenting” may actually be making life harder for both parents and children. Here's what science says.Here are seven common parenting beliefs that science says may be working against both parents and children.
Delaware's Most Influential and Inspiring in small business for 2026
Meet eight Delawareans making the list for Delaware Online/The News Journal's Most Influential & Inspiring in small business for 2026.
Yankees news: Cole can cope with commonplace stuff
Cole adjusts mid-game; Grisham set to return during homestand; Henry Lalane making waves at Low-A
2026 World Cup Betting Report: 'USA Is By Far Our Worst Result In The Book'
There's no way around it: The USA making a deep run at the World Cup would be a horrendous result for sportsbooks. Patrick Everson reports.
HISTORY IN THE MAKING: A RECORD-BREAKING OPENING DAY AT THE PAN AMERICAN ATHLETICS CHAMPIONSHIP MEDELLÍN 2026
The Pan American Athletics Championship delivered everything the Americas had been waiting […]
4 iconic American CEOs are making way for nuts-and-bolts leaders
Warren Buffett, Tim Cook, Bob Iger, and Doug McMillon are making way for nuts-and-bolts leaders, but success will require more than an eye for detail.
No debut, but loud cheers: Belfast crowd shows love for Vaibhav Sooryavanshi
Teenage sensation Vaibhav Sooryavanshi's India debut is still pending, but the focus shifted to Ireland's historic 34-run victory in the first T20I. Despite the loss, Shreyas Iyer vowed a strong comeback. Ireland's debutants impressed, with Jai Moondra and Matt Hollard making immediate impacts, while Abhishek Sharma's quickfire fifty wasn't enough for India.
The Science Behind Storms: Four ingredients that make thunderstorms
Here's Mother Nature's shopping lift to making storms form.
Are You Falling Into These 5 AI Traps? Here's How Smart Leaders Avoid Them.
Artificial intelligence is making founders fall into the same leadership traps. Here's how to make sure you avoid them.
Deb Haaland Outlines Small Business Agenda in Address to Albuquerque Chamber
Native Vote 2026 Democratic gubernatorial nominee Deb Haaland (Laguna Pueblo) on Thursday outlined her vision for making New Mexico more welcoming to entrepreneurs and small businesses during an address to the Greater Albuquerque Chamber of Commerce, pledging to reduce regulatory barriers while investing in education, public safety, and economic development. Drawing on her own experience […]
Deb Haaland Outlines Small Business Agenda in Address to Albuquerque Chamber
Native Vote 2026 Democratic gubernatorial nominee Deb Haaland (Laguna Pueblo) on Thursday outlined her vision for making New Mexico more welcoming to entrepreneurs and small businesses during an addre...
Sports Intelligence Project explores high-end decision making in multifaceted industry
A new co-curricular offering tasks students with combining data, AI and the human element of athletics.
Making sense of what Lars Tiffany’s lawsuit says about UVA sports
Analyzing a few points made by Tiffany’s camp and what they indicate about the UVA athletic department’s approach.
After 80 Years, Mathematicians Give Famed ‘Erdős Method’ an Upgrade
Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his technique even more powerful.
Case Studies From Ireland: Making Sustainability Good Business
From Kinisla to Strong Roots, these food companies are making the business case for sustainable practices.
Seattle ups its payout for vandalized small businesses. Is it enough?
For many businesses, the reimbursement "could be the difference between someone making their rent or not, just because this is such a tough time,” said Analog Coffee's owner.
Lincoln International CEO on why the firm went public — and what’s ahead for dealmaking
Lincoln International makes its public debut as dealmaking is poised for a resurgence, with the firm's client engagement letters up 40%.
‘Disgusting and vile’: Locals react to arrest of Tampa business owner on AI child porn charges
A Tampa business owner is behind bars facing more than 100 felony charges. He’s accused of making child pornography using Artificial Intelligence.
Clinicians are making more money despite stagnant reimbursement. Guess how?
Compensation for healthcare providers rose some 4.3% in 2025. The sobering news is that the gain owes more to heavier daily workloads than to bigger per-patient billings.
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.
Controversial billionaire tax will appear on November ballot
Proponents of a controversial billionaire tax pledge to making sure it appears on the November ballot to backfill federal healthcare funds.
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.
This Is Probably Your Last Chance to Buy a Cheap MacBook for a While
Apple has dramatically jacked up the price of MacBooks, making the current Prime Day pricing that much more enticing.
Expanding camp adventure for all
A doctor works with Camp Michigania on making accessibility updates that are expanding and improving camper experiences.
Golden State Valkyries employee named in Sports Business Journal's Forty under 40 list
The Golden State Valkyries have created a winning culture on and off the court. After making WNBA history last season becoming the first expansion team to reach the playoffs, the success is also extending throughout the organization.
Lucky the Bull Gets a Transformation
A local artist has been working for weeks on restoring a historic landmark that will soon be making a public appearance.
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.
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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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Online violence against women in politics: what shapes political party responses to technology-facilitated gender-based violence?
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.
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THE WEEK OF JUNE 22, 2026
- NSF reverses ocean observatory shutdown - White House to limit stays of international students - OMB nominee defends grantmaking rule
Nick’s Picks | Soccer, Elections, Entertainment and More …
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New Orleans Summer Entertainment & The Omni Hotel Controversy
This week on The Get Down, John Stanton breaks down the week ahead in New Orleans, including the City Council's final vote on the controversial Omni Hotel redevelopment plan. googletag.cmd.push(function() { googletag.display('ad-1492300'); }); Jake Clapp shares some upcoming entertainment picks, including Ilana Glazer's tour stop at the Joy Theater, and we take a look at summer bucket list ideas in The Pearl for making the most of the season in New Orleans.Be sure to grab a copy of our latest issue of Gambit and stay tuned for the latest on all things New Orleans at bestofneworleans.com. .donate-gambit-article-module-container { text-align: center; padding: 10px; /* background-color: #24da6d; */ background-color: rgb(153, 0, 0); margin-bottom: 20px; } .donate-gambit-article-module-title { font-weight: bold; color: #fff; } .donate-gambit-article-module-copy { color: #fff !important; font-size: 16px; } .donate-gambit-article-module-button { background-color: black; width: 50%; border-color: black; font-size: 16px; } .donate-gambit-article-module-button:hover { background-color: black; } @media only screen and (max-width: 600px) { .donate-gambit-article-module-button { font-size: 14px; width: 100%; } .donate-gambit-article-module-copy { font-size: 14px; } } BECOME A GAMBIT MEMBER AND JOIN OUR KREWE TODAY For more than 40 years, Gambit has covered New Orleans, for New Orleans. We’ve stood up to city hall with you, cheered the Saints with you, danced in the streets with you and cried over our collective loss with you. And we’re plannin’ on being here for 40 more. To do that, we need your help. Become a Gambit member today and help us continue our mission SUPPORT GAMBIT
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