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The young entrepreneurs giving Japan's old businesses a second life
Japan's aging small-business owners need someone to carry on their work. These entrepreneurs are answering the call.
Toy Story 5, Backrooms and The Breadwinner Vie to Become the Second Biggest Film This Year...
(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.) Often, people blame “data” for ruining Hollywood, when I’d argue that hype (which can often be debunked by data) is often worse, as you can see in these two headlines. To use a common meme, here’s how it started: and how it’s going: Earlier this year, I read countless (and I mean countless) articles (in almost every mainstream media outlet) about how Heated Rivalry was a huge hit and that it “heated” interest in hockey. But Heated Rivalry wasn’t a huge viewership hit compared to the hype: [ ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) [ You Can’t Eat Buzz…Did Heated Rivalry’s Buzz Translate into Actual Viewership? ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) Entertainment Strategy Guy · Jan 22 [ Read full story ](https://entertainment.substack.com/p/you-cant-eat-buzzdid-heated-rivalrys) In this case, the hype (Heated Rivalry is really popular) belied the data (It didn’t make the top ten charts, meaning it wasn’t a huge hit.1) Even worse, every time I write about this, I get a lot of negative feedback, hence why I only sparingly mention the show these days or add lots of caveats when I write about it, but this just further cements the hype. But companies, and the executives leading them, have to determine strategy based on reality, not media coverage. The NHL committed real marketing dollars to a campaign that didn’t work. Sure enough, the latest NHL season opened to under a million viewers. At some point, you have to focus on what the data says, because real dollars are at stake. And that’s why we have the Streaming Ratings Report! To provide and analyze cold, hard data. Luckily, this week, I can be positive and take a look at a huge opening on streaming, along with a very buzzy horror film that customers kind of like, but don’t really love. And a comedy that tried to rebound on streaming. Today, I’m covering two weeks—21-Sep and 28-Sep—so we have a lot to discuss (nearly 5,000 words worth), including a series of film misses for Netflix, another argument for weekly-released TV shows on streaming, another sitcom tries to avoid the comedy curse, Netflix has two new game shows (one powered by AI), Reacher falling off the charts after a huge run, Prime Video tries its hands at the romcom game**,** a look at the WNBA’s big season, a big night for the VMAs on CBS and MTV, all the flops, bombs and misses, and a whole lot more. (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, JustWatch and Reelgood interest 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 September 14th to October 4th, 2026. You can find a link to my terminology here.) Subscribe Film - Two Hits and a Miss Come to Streaming… Three very interesting films came to streaming in one week, and I like comparing them since they show the range of theatrical films. One was a huge blockbuster, one was popular, and one was neither. One is a horror film, a buzzy genre; one is a comedy, a struggling genre; and one is an animated family film, the king of the box office. One went to a tiny streamer (HBO Max), one went to a second-tier streamer (Disney+), and one went to the biggest (Netflix). So… If you just went by box office, you’d expect Backrooms—the $197 million grosser, and partner of Obsession for “YouTube Horror Summer”—to dominate on streaming. If you read this report, though, you know that horror films don’t do great on streaming, and that’s the case again. Backrooms opened at 3.8 million hours according to Nielsen, and had 3.9 million hours in its second week. Here’s how that stacks up to other HBO Max films: We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… ...why I don’t buy Backrooms budget… …two new games shows arrive on streaming… …another sitcom struggles… ...another argument for putting out shows weekly on Netflix... ...and a whole lot more, nearly 5,000 words more... ...please subscribe! We can only keep doing this great work with your support. If you want an idea of just how much content you’d get in a full issue, check out this older issue. Coming Soon! Next week, I’ll be taking a look at the eighth season of Hulu’s The Kardashians, answering the question: will this show ever make the charts? If Mormon wives can make it, surely one of social media’s most popular families can as well. Also, Prime Video has a new horror show based on popular IP, Carrie, Netflix has a horror show starring Josh Hartnett, Below, and Apple TV has a UK import, Small Prophets. Plus a bunch of movies like Disclosure Day heading to Peacock, The Housemaid coming to HBO Max, Ben Affleck’s latest on Apple TV, Animals, and Matchbox the Movie on Apple TV, a John Cena action comedy inspired by Hasbro’s toy cars. The week after is even busier! I’ll look at another IP-based horror show, Crystal Lake, a new MCU show on Disney+, VisionQuest, season two of The Lowdown on FX/Hulu, the fourth seasons of The Diplomat on Netflix and Tulsa King on Paramount+, another season of Love is Blind, and four straight-to-streaming films: Netflix’s Sacrifice (starring Chris Evens, Anya-Taylor-Joy, Vincent Cassel, John Malkovich, Salma Hayek. Charlie XCX), Apple TV’s Tenzing (starring Tom Hiddleston and Willem Defoe), Prime Video’s Love of Your Life (Margaret Qualley) and Masterplan (Stanley Tucci) and a whole lot more, somehow. Long term, here’s some huge IP news: a Game of Thrones movie is coming to theaters, Game of Thrones: Aegon’s Conquest in 2029, while Jon Watts (who helmed three of the most recent Spider-Man movies) is directing the next Star Wars trilogy, to be written by Simon Kinberg. I’m cautiously optimistic for both. It feels obvious to say that making good movies matters, but for bets this big (Star Wars is on a swoon, Game of Thrones hasn’t been to theaters yet), the quality has to be there.
Broadcom Is Building an AI Business Unlike Nvidia’s. Here’s My Price Prediction
Broadcom competes with Nvidia without selling a single GPU to the general market, and that unusual strategy has locked in hyperscaler contracts stretching years into the future. Whether the stock has already priced in that advantage is the question worth answering.
Aaron Sorkin reveals the one thing he’d ask Mark Zuckerberg: ‘There’s a whole other movie in answering the question’
‘The Social Reckoning’ writer-director has never spoken to the billionaire Facebook founder.
Google is ending support for Pixel Watch’s emergency LTE ‘Safety Signal’
Google launched the Pixel Watch 2 with “Safety Signal” to ensure users could use Emergency SOS and Safety Check without...
Answering the God-of-the-Gaps Objection
Critics of intelligent design or science-based theistic arguments often cite Isaac Newton as the prime example of a scientist who made this blunder.
Could the future “afterlife” be digital rather than spiritual? Science fiction is starting to look plausible
For most of human history, the idea of continuing after death belonged mainly to religion, philosophy and personal belief. Technology is now creating a very different possibility: a version of you that continues speaking, answering questions and interacting with family long after your biological life has ended. This would not be an afterlife in the spiritual sense. Today’s systems cannot preserve consciousness or prove that a person’s mind survives death. What they can increasingly preserve is d
John E. Sununu pressed on loyalty to Trump in Nashua forum
John E. Sununu pointed to his bipartisan approach to politics during his previous stretch in Congress while answering voter questions in Nashua on Monday.
Answering Your Questions as Padres Near Disastrous End to Season
The San Diego Padres are inches away from total collapse, digging themselves into an 0-2 hole against the Milwaukee Brewers. They'll now turn home to a raucous Petco Park crowd with the hopes that they can stave off execution. The postseason allows for some insane turns of fortune. Could the Friars be the next recipient …
Luka Doncic Had Surprising Answer For Most Improved Laker
The Los Angeles Lakers will need a team effort to have any noteworthy success this season in the loaded Western Conference. Luka Doncic will have to play MVP level, but he also needs all teammates to be at their best this season. Monday’s NBA media day saw the Lakers players answering questions for the first […] The post Luka Doncic Had Surprising Answer For Most Improved Laker appeared first on HEAVY.
What Happens to Your Brain During Anesthesia? Scientists Are Still Searching for Answers
There is a strange kind of trust involved in going under general anesthesia. One moment you are answering a nurse’s questions beneath bright operating room lights. Then, seemingly seconds later, hours...
Scientists Just Found a Dino Artifact We’ve Never Seen Before—and It’s Answering a Major Riddle
Digital scans of the badly eroded tracks reveal how fast the most famous apex predator was walking—and why.
Fossil-fuel firms in line for billions in benefits after answering Trump’s donation call
Senators’ report says taxpayers face higher bills after ‘bargain’ between president and major polluters
Unlocking Xbox's New Mythic Achievement Sounds Incredible, And Here's How It Might Work
Answering the big DLC question
Shaheen says funding healthcare is not 'an issue of resources'
Answering a voter’s question, Democratic 1st District congressional candidate Stefany Shaheen said she believes Medicare for All is the best way to make health care affordable. She said the federal government should focus its efforts on making the policy a reality.
GTA 6 Boss Seems A Bit Grumpy And Defensive While Answering An Investor's Question About Frequent Delays
During a recent stockholder meeting, Take-Two CEO Strauss Zelnick quibbled about a question
Can an AI chatbot save lives by answering texts about pregnancy?
Many questions come up during pregnancy. Is swelling normal? Are avocados safe to eat? For folks in Kenya who don't have a search engine at their fingertips, a chatbot is offering a lifeline.
Yankees' Anthony Volpe is Answering a Big Offseason Question
New York Yankees fans may not like it, but Anthony Volpe is answering a big offseason question for the team.
What Does the Science of Climate Change Really Look Like?
Editor’s Note: This is the second in a three-part series on how the Right should think about environmental and climate policy. Read Chris Barnard on Reclaiming Environmental Policy from the Left. More than a decade ago, the world’s governments negotiated and signed the Paris Climate Agreement, committing to hold global warming well below 2 degrees Celsius. In the following years, climate had immense cultural power. Greta Thunberg emerged. Fortune 500 companies established net-zero plans. The U.S. got the Inflation Reduction Act. Then the pendulum swung back. President Donald Trump returned to the Oval Office, speaking of green energy as a “scam” and carbon footprints as a “hoax” and on all matters of international policy emphasizing bilateral engagement and power over globalism and cooperation. The technology companies that had been at the forefront of net-zero pledges and green leadership discovered the importance of all-of-the-above power to their visions for artificial intelligence and began quietly postponing or removing their targets. On the left side of the political spectrum, rising concerns about inflation and cost pushed climate lower down in the stated priorities of voters and stump speeches of politicians. The moment is ripe for a reset on the politics of climate change and for conservatives especially to chart a course that acknowledges and addresses the real challenges in plausible ways. So what should we think about climate change as we enter a post-peak climate era? If it is neither an apocalypse nor a hoax, what will hold up as a durable view of climate change? And how does it project onto the concerns and priorities of the right-of-center’s emerging coalition? New to Commonplace_? Subscribe below to get the magazine in your inbox._ Subscribe A Solid Foundation As the politics and economics of climate careened over the past ten years, the physics carried on regardless. In 2015, the year the Paris Climate Agreement was adopted, the world emitted 41.2 gigatonnes of carbon dioxide. By 2025, emissions had risen only 2.4%, to 42.2 gigatonnes, because falling emissions from land use offset increasing emissions from fossil fuels. But slow growth in annual emissions is not rapid decline, let alone net-zero, so carbon dioxide kept accumulating in the atmosphere, going from 399 to 426 parts per million. Global temperature kept rising too, from about 1.1 degrees Celsius above the 1850–1900 average in 2015, to 1.4 degrees above it in 2025. None of this should surprise anyone. Even most prominent skeptics, like the authors of the 2025 report commissioned by the Trump administration’s Department of Energy, accept the basic physics. Carbon dioxide added to the atmosphere at industrial volumes accumulates and traps heat that would otherwise escape to space. That heat warms the upper ocean and increases temperatures at the surface. Increased ocean heat and melting of land ice cause sea levels to rise. Changes in the climate become noticeable to us as subtle shifts in temperature and precipitation, seasons arriving early or late, changes in the surrounding ecosystem, and weather extremes. The much more meaningful debate is not about whether these things are happening, but about what it all means for human societies. (While it is a proxy measure of overall risk, no one experiences global surface temperature.) This debate invokes at least three interesting questions: how much today’s warming is showing up in regional climate trends, how much more warming we should anticipate, and how extreme weather events can be understood in the context of climate change. Recent scientific advances give us new insights into each of these, but there is still much to learn. This is the context in which the next generation of conservative leaders will be the first to deal with significant climate change as a fact, not a forecast. It will be with them for their entire careers. Our evolving scientific picture of climate change will come from weather and climate records stretching further into the past, new kinds of observations in the present, better modeling tools for the future, and simply more time to observe the emergence of climate signals and their tangible effects on ecosystems and communities in the United States and around the world. The policy landscape will be shaped by not only the impacts of changes in the climate, but also by the ways in which societies respond and by the emergence of new technologies for both altering the trajectory of emissions and adapting to new climate realities. Global climate records now show the fingerprints of warming in different phenomena around much of the world. The IPCC, in its most recent assessment report, documents warming trends over all land regions, even as natural variability adds substantial variance to local trends. And the highest temperature extremes have become more intense and frequent, almost everywhere, since the 1950s. Scientists are highly confident that these changes are attributable to human influence. But confidence in detecting trends and attributing them to human influence degrades across heavy precipitation events; drought trends are heterogeneous and not attributable to human activity with great confidence. For hurricanes, tornadoes, and other severe storms there is even less confidence in trends or their relationship to climate change. In general, a fair summary of the evidence is that for well-observed phenomena, like surface temperature or heavy rainfall, with a clear relationship to warming, our multidecadal observations are consistent with human influence overcoming natural variability over long time periods and extremes increasing. For regions that are sampled more sparsely, or phenomena with a higher noise-to-signal ratio, we will need to observe them longer to understand the magnitude of the climate signal or improve dynamical understanding using models and observations together. But for Climate For those who can’t wait, we also have new techniques that attempt to understand the role climate change has in influencing particular extreme events. When the climate is changing and disaster strikes, it is natural to ask whether that disaster was somehow “caused” by climate change. For scientists and policymakers acting in good faith, answering that question helps develop a more accurate picture of the problem, how it may be getting worse, and what preparations we should be making to respond to it. It may, at some point, give some weight to how liability is assigned by courts or adaptation funding is distributed by society. But how we ask this question is extremely important. It is easy to get the analysis wrong by discounting the role that meteorology plays. As meteorologist Theodore Shepherd explained in a clear 2016 review of climate attribution methods, “if a weather or climate event is truly extreme in the present climate, then perforce it requires unusual meteorological conditions, which means that climate change is at most a contributing factor.” Share Scientists have two ways to probe climate as a contributing factor, both of which have entered media coverage of extreme weather events. One asks a probabilistic question: How much more likely is a particular event (e.g., a temperature record over a particular area) amid global warming? The answer involves using historical records and computer simulations to estimate the likelihood of such an event in both a changed and a preindustrial climate. The findings are less about the specific event, and more about events of that nature. The other question is: How has the changed climate affected the specific event in question? Here, scientists try to understand what a similar event would have looked like in the preindustrial climate. This is sometimes called the storyline approach, where the story is the specific meteorological details of the event. These methods offer ways to test the intuition of scientists about real weather extremes. In late June and early July of 2021, a persistent high-pressure ridge, or heat dome, set up over the Pacific Northwest and an extraordinary heat wave affected the area from Oregon to British Columbia. For six days, it shattered temperature records across the region and hundreds died from heat-related causes, in an area where such high, and persistently high, temperatures were well outside of experience and many live without air conditioning. Scientists have studied its connection to climate change using multiple approaches. This specific event was created by a rare combination of meteorological factors, a strong high-pressure ridge created the conditions for extreme heat, which occurred on top of higher average temperatures in the region from global warming. Probabilistic analyses showed that climate change increased the likelihood of such an event by at least 8-fold to more than 100-fold. One standout example found that such an event had effectively zero probability of occurring in the preindustrial climate. The enormous range in these assessments reflects how hard it is to estimate probabilities of events at the tail of the historical record. Estimates of the effect on the temperature of the event are more clustered. A recent review paper documents how multiple methodologies have found a positive influence, roughly 1-2 degrees Celsius of an anomaly that exceeded 15 degrees, of climate change on the temperature magnitude of the event. Multiple studies have investigated and found some positive influence of climate change in other extreme events. Attribution studies found climate likely increased the heavy rainfall that accompanied Hurricane Helene in North Carolina and surrounding regions in 2024. The extensive fires that struck Los Angeles in 2025 illustrate how the causal chain can become messy, though. Studies do detect a positive influence of climate on the event’s likelihood, but while climate change likely contributed to underlying aridity, it would not have played a role in the heavy winds or land practices that preceded disaster. These event attribution studies will become more common for extreme, or damaging, weather events. They can be produced quickly, and often are reported before peer review. As the Pacific Northwest heatwave example shows, when multiple methods converge on a positive attribution, the finding should probably carry some weight even if you have to be careful about accepting the results from a single study. I expect that as climate change proceeds and the climate thus departs further from a preindustrial counterfactual, the influence will become more detectable across a variety of extreme events and more easily identified. This will be used to cast blame, but can also be used to inform how communities and society adapt to ongoing change. We May Still Be Surprised One positive development, insofar as less climate change is better, has been that our central estimates for future climate change should probably be revised downward. Mostly, that is because the high-end warmings that scientists regularly analyzed about ten to 20 years ago, driven by high emissions throughout the twenty-first century, now appear to be somewhere between unlikely and impossible. At one time, the upper end of mainstream climate projections extended well into 4 to 6 degrees Celsius of warming by the end of this century, which, models suggest, would have wrought enormous real-world damage. Current energy and policy trends now point toward 2.5 or 3 degrees. Damages and risks are commonly modeled as increasing steeply with more warming, so this is already a better-than-previously-expected outcome for the climate (which is independent of the physical response to emissions). But we should maintain a wide range for plausible outcomes and prepare for the possibility of being surprised. Emissions trajectories are subject to deep uncertainty, the physical climate response is still developing, and whatever change occurs in the climate will then be mediated through unpredictable economic, social, and political institutions. Over the past decade, the pace of warming surprised some keen observers and appeared to accelerate, though not yet outside the range of expectation provided by climate models. The reasons for that apparent acceleration are being actively studied (as was the apparent pause in warming from 1998 to 2012), but no single driver has emerged. Some blame it on the El Niño, variability which would have no bearing on climate. Some think it is a result of factories in East Asia and global shipping fleets cutting aerosol emissions, which in the strongest version of the argument would indicate higher climate sensitivity to carbon-dioxide emissions. Others are more measured, not yet ready to draw solid conclusions as to whether climate projections require revision. We will have to see. Long-Term Thinking Climate change asks us to think over long time scales. But the pace of human-driven warming is compressing a large global change into a century. Changing weather patterns and extreme events are already causing adjustment costs and damages and will do more. Adaptation will help, but it is not free. For some communities, these costs will erode livelihoods and well-being, and may force migration. Are we prepared for large-scale managed retreats in the United States? Thankfully, American wealth, geographical diversity, and moderate climates may leave us better prepared than many around the world. But wealthy countries can still suffer serious disruption from narrowly concentrated costs, even if they appear entirely manageable in aggregate. Readers of Commonplace are familiar with the challenges of rapidly adapting to economic forces. The displacement that came from the China Shock is barely perceptible in aggregate GDP and employment data, but it affected millions of people and those people were far less mobile than economic models tended to assume. Deindustrialization rippled through the nation with enormous effects for not only our economic vitality, but also our national security. The forces surrounding climate change may not be so different; the world gets richer and must accept some diffuse costs. Those may be modest overall, but cause all manner of unpredictable effects with which policymakers must cope. In the case of the China Shock, our faith in a growing pie served us poorly. We’ll need to do better on climate. Leave a comment
Notre Dame Defense Could Dominate Matchups Against Michigan State
Notre Dame's defense has been off to a hot start in 2026, answering a lot of questions we might have had about this unit in during the offseason. They held Wisconsin's offense to 13 points in the season opener and shut out Rice in the home opener last weekend. This Saturday night, they host the Michigan State Spartans in the battle for the Megaphone Trophy. Their offense, now under the direction of offensive coordinator Nick Sheridan, has scored 30 points or more in back to back games. If the Ir
Candidates answer Flock, data center, business questions at NAACP forum
Four local candidates took part in the Henderson NAACP’s “Can We Talk?” forum, answering questions that included topics of data
iPhone 18 Pro Details Purportedly Leaked By Verizon's AI Assistant
A series of screenshots shared with MacRumors today seemingly show Verizon's AI chat assistant answering detailed questions about the iPhone 18 Pro and iPhone 18 Pro Max, just hours before Apple's announcement event. The screenshots were shared privately with MacRumors by X user "mehrtosh," who says the responses came from the "Ask Verizon" AI assistant built into the carrier's app.
Egor Dëmin, Michael Porter Jr. Show Off Personalities in 2K
Michael Porter Jr. and Egor Dëmin brought plenty of personality to NBA 2K27’s “Deflected,” answering awkward questions, roasting teammates, and sharing some hilarious stories along the way.
Farm state Republicans confront a difficult political bind
For Republicans representing agricultural states, the administration’s policies have created a difficult balancing act: They have to defend a president whose policies they broadly support while answering to constituents suffering from his decisions.
Moment of Science: New study finds humans and animals share certain sound preferences
Answering the call of the wild! Here's how our sound preferences stack up against other animals, from birdsong to baboon barks. 🐦🔊
Moment of Science: New study finds humans and animals share certain sound preferences
Answering the call of the wild! Here's how our sound preferences stack up against other animals, from birdsong to baboon barks. 🐦🔊
Reader Q&A: ask international correspondent Luke Harding a question now
The Guardian’s senior international reporter Luke Harding will be answering your questions live from 1pm BST. Ask him about his new book on Trump and Putin, the state of the war in Ukraine, or his career reporting from Kyiv, Moscow and around the world
TIPS & TRENDS: Meta’s New AI Tools Aim to Help Small Businesses Turn Data into Better Decisions - Small Business & Entrepreneurship Council
By Karen Kerrigan – For small business owners, the value of artificial intelligence is increasingly moving beyond generating content or answering questions. AI is being integrated into the platforms and tools entrepreneurs already use, helping them make sense of their own business data, identify opportunities, and make better decisions faster. As I noted in several […]
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Happy 30th anniversary to WSU’s resident science cat
WSU’s resident science cat, Dr. Universe, celebrates 30 years of answering children’s questions and connecting young people with science.
Why Anthony Fauci might not be safe after pleading the Fifth
By now in American politics, we’ve become accustomed to high-profile figures pleading the Fifth to avoid answering questions they believe could be used to incriminate them. That includes President Donald Trump doing it more than 400 times in a civil case in 2022.
Three Position Groups To Monitor Early In Packers' Training Camp
The Green Bay Packers kick off training camp on Wednesday, July 29, as the start of the 2026 NFL season rapidly approaches. The Packers are looking to bounce back from yet another premature playoff exit in 2025, with stars throughout the roster facing elevated expectations coming into the year. Green Bay's coaching staff will have several position battles to monitor, answering questions that will present themselves early in training camp.
Bengals owner Mike Brown not answering questions at media luncheon
The Cincinnati Bengals are switching up the lineup of speakers at the annual season-kickoff media luncheon with owner Mike Brown not taking questions.
Transport BPO Launches First-Week-Free Dispatch and Call Answering Service for Transportation Businesses
Transport BPO has launched a first week-free program giving taxi, towing, trucking, courier, and NEMT operators one-week of 24/7 live dispatch and call answering at no cost, with agents answering in each client's company name across four countries. ...
Parents want safer phones for kids. These companies are answering the call.
As parents look for alternatives to unrestricted smartphones, a growing number of companies are building phones designed specifically for kids, from feature-limited mobile devices to minimalist home phones.
Google's AI Mode now lets you link and interact with select apps
With this new update, Google is expanding AI Mode beyond answering questions and into completing tasks across the apps they use regularly.
988 Enters Its Fourth Year as Demand Grows and the Mental Health and Substance Use Landscape Shifts
Data as of March 2026 show that demand for 988 continues to rise, with the volume of calls, texts, and chats 15% higher than a year earlier and nearly 50% higher than two years ago. States are also answering more calls in-state, where counselors are more likely to be familiar with local resources.
Vikings Mailbag: QB Battle, Harrison Smith, Free-Agent Targets
After a break, VikingsTerritory has reopened the mailbag, answering questions from the masses and posting them weekly in a single […]
The ‘leading ladies’ of Science — inside the Microbiology Girls Club
It’s part science club, part mentorship program and part launchpad for the next generation of women in Science, Technology, Engineering, and Mathematics (STEM). But what really connects the girls inside this microbiology lab is curiosity and a community built on asking (and answering) questions.
Fort Bend County Fair to Reveal 2026 Entertainment Lineup at Free Sugar Land Event
SUGAR LAND, Texas (Covering Katy News) — The Fort Bend County Fair and Rodeo will reveal its 2026 entertainment lineup during a free public event Wednesday as the organization prepares to celebrate its 90th anniversary. Fort Bend County Fair 2026 Lineup Reveal Set for July 8 in Sugar Land The “Who’s Playing at the Fair?” gathering is scheduled for 6 to 8 p.m. at Talyard Brewing Company, 1033 Imperial Blvd. Attendees will be the first to learn which artists are set to perform, with giveaways, special guests and family-friendly activities planned. Food and beverages will be available for purchase.2026 Fort Bend County Fair Dates and Schedule The fair’s Championship BBQ Cook-Off is set for Sept. 18-19, with the main fair and rodeo running Sept. 25 through Oct. 4. The events will feature nightly concerts, livestock shows, youth competitions, rodeo performances and carnival attractions. What to Expect at the Fort Bend County Fair 90th Anniversary Celebration "We’re excited to kick off our 90th year by answering the question everyone is asking — who’s playing at the fair?” Fair President Brian Graeber said. “This event is a chance for residents to come together, become part of our fair family, and get an early look at what’s in store for our milestone celebration.” Fort Bend County Fair Scholarship and Youth Impact For 90 years, the Fort Bend County Fair and Rodeo has focused on benefiting youth, promoting agriculture and supporting education. This year, the organization awarded $250,000 in scholarships and generated more than $1.4 million through its junior livestock and other auctions. The lineup reveal is free and open to the public. For more information, visit fortbendcountyfair.com or follow the fair on social media. The fairgrounds are located at 4310 Hwy. 36 South in Rosenberg.
High-Speed Rail CEO Ian Choudri on transparency, project's path moving forward
California High-Speed Rail CEO Ian Choudri is answering questions for the first time since he was put on administrative leave.
CALL UP: How Utah’s Psychiatric Consultation Program Expands Access to Mental Health Care
Utah’s CALL-UP psychiatric consultation program connects providers to mental health specialists, improving access, diagnosis, and treatment statewide.
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.
Senua: Answering the Big Questions About Ninja Theory’s Unexpected New Action-Adventure
Senua is the surprise new action-adventure set in the Hellblade universe - we spoke to Ninja Theory to answer all the biggest questions out of this #XBOXGamesShowcase world premiere:
State of Decay 3: Answering the Biggest Questions After the First Gameplay Reveal
Today at XBOX Games Showcase 2026, we got our first-ever look at gameplay for Undead Labs’ State of Decay 3 with their brand-new trailer, showing everything from open world exploration, multiplayer, settlement building, weapon crafting, and of course, some good old-fashioned zombie slaying.
Catching chose Kyle McCann — and he’s been answering ever since
From a travel team in Georgia to the Piratas de Campeche to Albuquerque, Kyle McCann has never stopped raising his hand.
Everton's summer and the need for urgency
(Photo by George Wood/Getty Images)The 2025-26 season has come to a close with significant questions that need answering.Whether that’s by the owners, the CEO or the manager, Evertonians need to kno...
Semiconductor decoupling. Powell's politics. Industrializing Ogaden. Free trade and the Magna Carta.
Thank you for opening your Chartbook email. Feliks Topolski, 1907-1989 8th Army’s Front, Italy 1944 Semiconductor decoupling Source: FT One thing that Jerome Powell deeply understood is that chairing the Fed under current conditions is a deeply political job. “Powell has successes and mistakes to his name. But he stands out as having thought more carefully about the Fed’s democratic legitimacy than any chair since Paul Volcker,” said Paul Tucker, a former deputy governor at the Bank of England, referring to the Fed chair who successfully fought the great inflation of the 1970s and early 1980s. … While Powell was at the Treasury in the early 1990s, he watched Alan Greenspan build relationships within the government. That convinced Powell he needed to follow the former Fed chair’s lead and spend more time in Congress than his predecessors Yellen and Bernanke. “The accountability for the Fed runs through Congress,” said Claudia Sahm, a former Fed official who is now chief economist at New Century Advisors. “That’s not just about having people on speed dial — it’s answering questions, explaining policy and getting feedback.” Source: FT Ethiopia’s PM Abiy and Nigerian business tycoon, with Chinese engineering, are driving industrialization in Ogaden/Somali region of Ethiopia. - Michael Masri’s reporting for Africa Report if fascinating. Ethiopia has launched a cluster of large industrial schemes in the Somali region, laying foundation stones for a urea plant and an oil refinery in Gode while opening the first two phases of the Ogaden LNG project. Abiy Ahmed framed the push as part of a broader strategy to link energy, agriculture and industry. “These projects embody more than industrial growth,” he said. “They represent our shared responsibility to harness opportunities, strengthen co-operation and promote peace.” The Gode urea plant, backed by Dangote Group and Ethiopian Investment Holdings (EIH), is designed for 3m tonnes a year. Dangote owns 60%, while EIH holds 40%. Officials say Dangote’s equity totals about $2.5bn, while the state provides land and implementation oversight. Gas from the Calub fields will be piped 108km to the site. Construction is slated for 40 months, with operations targeted for 2028. Ethiopia imports most of its fertiliser, spending more than $1.2bn a year for 1.5m–2m tonnes. Usage was roughly 1.7m tonnes in 2023, almost half of it urea, and demand for 2024–25 is put above 2.4m tonnes. If delivered on time, the Gode plant could cover domestic needs and allow exports to neighbours. Brook Taye, chief executive of EIH, called the venture “a significant milestone in the journey toward industrial self-sufficiency”. Dangote told the groundbreaking crowd that the complex would be integrated with gas supply and a polypropylene unit to support local inputs. He pointed to Ethiopia’s Grand Ethiopian Renaissance Dam (GERD), with a capacity of more than 5,000MW, and noted his group’s cement operations and expansion plans. The Gode refinery is being developed by Golden Concord Group of China. It is designed to process 3.5m tonnes a year of crude and condensate from the Hilala field, with associated storage. Backers say it will ease foreign-exchange pressure from fuel imports and anchor further industrial activity, including a proposed steel smelting site in Dire Dawa. GCL’s chair, Zhu Gongshan, cast the project as “a key step in Ethiopia’s path to energy sovereignty”, underscoring the Beijing–Addis ties. Financing details are still being finalised, but the refinery is central to the government’s energy-security narrative. Source: The Africa Report Dangote’s Ethiopian vision: Dangote began with cement. His crown jewel, Dangote Cement, dominates Nigeria’s market and has 10 operations in other nations in Africa. The formula has been consistent: identify sectors with chronic shortages – cement, fertiliser, sugar – commit massive local investments, and scale up to serve regional demand. Ethiopia was a natural extension of that model. In 2015, Dangote launched the Mugher Cement Plant outside Addis Ababa at a cost of $600m, with an annual capacity of 2.5 million tonnes. The investment gave him a firm foothold in one of Africa’s fastest-growing construction markets. But success came with risks. In May 2018, violent unrest led to the killing of Dangote’s country manager and temporary shutdowns at Mugher. While other investors might have retreated, Dangote doubled down. Today, he is preparing to spend $400m to expand Mugher’s capacity to 5 million tonnes, alongside a new grinding unit near Addis Ababa. Cement is just one market Dangote is targeting. Ethiopia’s enormous state-controlled sugar industry, long plagued by inefficiency and debt, has struggled for years to reform. Its Omo Kuraz Sugar Development Project, touted as one of the continent’s largest initiatives, continues to face delays and mismanagement. … The most ambitious venture of all is the planned fertiliser production complex in Gode, Somali region. Publicised on 28 August 2025, the Dangote Group and Ethiopian Investment Holdings (EIH) deal plans one of the world’s largest single-site urea manufacturing plants. The project costs an estimated $2.5bn and has an estimated capacity of 3 million metric tonnes annually, a rate that would not only render Ethiopia independent, but even a net exporter of fertiliser. EIH, the state wealth fund of Ethiopia, will hold 40%, while 60% is held by Dangote Group. … For Dangote, Ethiopia is a trifecta: Cement demand is projected to grow by 10% annually, its sugar consumption is growing with rapid urbanisation, and fertiliser demand is all but insatiable, given that farming supports the livelihood of 70% of Ethiopians. Source: The Africa Report The stakes for Abiy are high: For Addis Ababa, the $4bn fertiliser project in Ethiopia’s Somali region is no longer simply a manufacturing investment. It is increasingly being framed as a strategic state project tied to food sovereignty, import substitution and the government’s broader attempt to build economic resilience under mounting fiscal pressure. “Becoming self-sufficient in food is our main agenda,” Abiy says during the visit. “Land is needed; we have it. Water is needed; we have it. Human resources are needed; we have it.” The scale is enormous even by African industrial standards. Once operational, the plant is expected to produce three million metric tonnes of urea annually, potentially making it one of the continent’s largest fertiliser complexes. Ethiopian officials say the project now includes a 110km gas pipeline, a 120MW power plant, a polypropylene packaging facility and a two-million-tonne NPK blending plant. For a government grappling with chronic foreign exchange shortages, ballooning import bills and pressure on agricultural productivity, the numbers matter politically as much as they do economically. The decision to anchor the project in Gode is deliberate. Long viewed as peripheral to Ethiopia’s industrial economy, the Somali region is now being repositioned by the federal government as a future irrigation and agro-industrial corridor. Officials argue that the area’s vast land reserves and access to water could eventually support large-scale commercial farming capable of reshaping Ethiopia’s food economy. The government is simultaneously building housing infrastructure for about 5,000 residents near the plant, while officials project broader industrial expansion along the corridor. Abiy goes further, comparing the long-term revenue potential of the Gode development zone with Ethiopia’s flagship state enterprise. “The investments we are making in this Gode area, combined, will generate high revenue for Ethiopia, at par with Ethiopian Airlines,” he says. Source: The Africa Report Feliks Topolski 1907-1982 Topolski’s Chronicle, ‘Nazi Revival’, Vol. 8, Is. 1-2, 1960 HEY READERS, THANK YOU for opening the Chartbook email. I hope it brightens your day. I enjoy putting out the newsletter, but tbh, what keeps this flow going is the generosity of those readers who clicked the subscription button. Photo by Jakub Dziubak on Unsplash If you are persuaded to click, please consider the annual subscription of $50. It is both better value for you and a much better deal for me, as it involves only one credit card charge. Why feed the payments companies if we don’t have to. Subscribe Grim vision of drone warfare by Sylvie Kaufmann For contributing subscribers only. Subscribe The state of the art in Colbert-studies. Jean-Baptiste Colbert was Louis XIV chief minister from 1661 to 1683 and traditionally seen as an architect of absolutism and mercantilism. Alexander Hamilton later cited him as an inspiration in 1782. Now his legacy is disputed. Daniel Dessert, the chief critic, sees Colbert as the orchestrator not so much of an absolutist state as of an elite cabal. Would be great to have a good English-language review of this important debate. Source: lhistoire Didn’t know that the Magna Carta included free trade provisions Fighting for the right to the beach in Oregon in 1967: Source: Research Gate RAF Station – British and Polish Flags, c. 1940-45, The Ingram Collection Feliks Topolski, 1907-1989 ink and wash If you’ve scrolled this far, you know you want to click: Subscribe
Blanche faces senators on new Trump ‘weaponization’ fund, Epstein, budget cuts
Acting Attorney General Todd Blanche faced lawmakers Tuesday for the first time since taking the role, answering to bipartisan questions about his department’s newly created “Anti-Weaponization Fund.”
New MatterChat Model Helps AI to ‘See’ the Language of Science
From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly “talk to” physics-based models. Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized “bridge.” It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models “interatomic potentials”: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials. A paper describing this work was recently published in Nature Machine Intelligence. “Traditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the ‘structural vision’ to interpret materials directly from their underlying atomic coordinates,” said Yingheng Tang, a postdoctoral researcher in Berkeley Lab’s Applied Math and Computational Research Division (AMCR) and lead author on the paper. “MatterChat was built to solve this dilemma, empowering LLMs with a structural ‘vision’ that allows researchers to leverage their full potential for solving complex, real-world materials challenges.” Empowering language models to solve complex challenges in materials science To build MatterChat, the Berkeley Lab team drew inspiration from technologies like Vision Question Answering (VQA) and Text-to-Image (T2I) generation. In these tasks, AI must translate high-level text concepts into visual images, or vice versa. Doing so requires developers to build tools that “bridge” two fundamentally different forms of data. The researchers adapted this concept to the physical sciences. With MatterChat, they created a “bridge model” that successfully connects an LLM’s general knowledge with the deep understanding of the atomic-scale world encoded in scientific interatomic potentials. Until now, researchers using LLMs to solve materials problems usually had to feed them raw data files as if they were just strings of text. It’s like asking an AI to understand a complex 3D engine based only on a parts list: the LLM can read the names, but it can’t “see” how the atoms fit together in space. MatterChat solves this by training a specialized AI bridge model, pre-trained on millions of crystal structures and an LLM, to align the LLM’s representation of the world with the interatomic potential’s representation of the world. The bridge model can translate physical insights into a format the LLM can actually understand. By giving the LLM these “scientific eyes”— a scientific “inductive bias” in the terminology of AI — the Berkeley Lab team has transformed it into a robust research tool capable of providing grounded scientific insights into complex materials challenges, such as predicting thermal stability or analyzing electronic band gaps. “We think of atoms as living in a physical space, but from a machine learning perspective, they are just vectors living in some very non-trivially structured manifold in a high-dimensional Euclidean space; and, of course, the same is true for the sentences and paragraphs that we use to express our ideas about those atoms,” said co-author Michael Mahoney, Berkeley Lab’s Scientific Data Division (SDD) AI Initiative Research Lead. “The bridge model basically gets those two structures to ‘talk with’ each other.” As a proof-of-concept of this general approach, the team trained their bridge model on a dataset curated by pairing nearly 143,000 stable atomic structures from the Materials Project with their corresponding physical properties. This training data was automatically assembled using the Materials Project’s API and deliberately enriched with properties fundamental to microelectronics design — like formation energy and bandgap — allowing MatterChat to learn the complex patterns connecting a material’s atomic blueprint to its functional performance. To validate their model, the researchers benchmarked MatterChat against a suite of other AI systems, from general-purpose LLMs to other specialized scientific AI methods. The results show that MatterChat consistently outperformed its competitors across a range of tasks. The model was more accurate in classifying material types and demonstrated superior precision in predicting numerical properties. For example, it excelled at predicting a material’s bandgap, a property critical for designing new electronics from high-capacity energy storage to next-generation computer chips. “Our design is significantly more efficient because we don’t have to build a massive AI model from the ground up,” said co-author Zhi (Jackie) Yao, a research scientist in Berkeley Lab’s AMCR. “Instead, we take two powerful, pre-trained models — a structural encoder for materials physics and an open-source LLM — and use them off-the-shelf. The only component we actually train is the lightweight ‘bridge model’ that translates between them. It’s the difference between building an entire car factory and simply designing a smart adapter that connects a world-class engine to a world-class navigation system. This approach is not only computationally efficient, but also makes the system modular, so we can easily upgrade components or adapt the bridge for other scientific domains in the future.” Crucially, this modular design highlights exactly how institutions like Berkeley Lab and the Department of Energy are carving out a highly valuable niche in the booming AI landscape. Rather than competing with Silicon Valley tech giants to build ever-larger language models from scratch, the lab is focusing on the specialized connective tissue that makes commercial AI useful for hardcore science. Because the bridge model approach underlying MatterChat is forward-compatible, it is perfectly positioned to leverage these parallel tracks of innovation. As Mahoney pointed out, “We expect that industry will continue to develop improved LLMs, and we expect domain scientists and facilities will continue to generate new data. An important part of scientific machine learning is not simply to solve problems on today’s data, but instead to develop general methods that will be forward-compatible with orders of magnitude more data, whether from scientific domains or from LLMs.” According to Yao, the MatterChat project, which was initially developed and enhanced with funding from a Berkeley Lab Laboratory Directed Research & Development (LDRD) Program, will now expand its capabilities. In a collaboration with Fermilab, MatterChat is already contributing to a U.S. Department of Energy Genesis Mission project — called Accelerating eXtreme Environment Specs-to-Silicon (AXESS) — that aims to speed up the development of next-generation, high-speed, radiation-hardened detectors for challenging particle physics experiments by using advanced 3D integrated circuits (chiplets) and AI-driven data analysis. In addition to the LDRD support, the team also credits supercomputing resources at the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab, with MatterChat’s success. “We are incredibly grateful to NERSC; this research simply would not have happened without access to the Perlmutter supercomputer through their AI for Science program,” said Tang. Wenbin Xu, a NERSC postdoctoral fellow at the time, was also a major co-author of the work, as was Benjamin Erichson, a research scientist in Berkeley Lab’s SDD, highlighting the benefits of AMCR-SDD collaboration on AI for science. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
Introducing Northwood Insights, a New Blog for the Next Generation of Business Leaders
New content platform strengthens the university’s digital presence, broadens its reach among prospective students, and establishes Northwood as a thought leader in business, free enterprise, and entrepreneurial education. Northwood University has launched Northwood Insights, a new blog designed to position the university as a leading voice in business education, free enterprise, entrepreneurship, and career development. The platform delivers expert, research-informed content to prospective students, current students, and the broader professional community, meeting audiences where they already are online and searching for answers. “Northwood has always been about preparing people to move forward with clarity and confidence,” said Marketing and Communications Officer Rachel Valdiserri. “With Northwood Insights, we’re meeting students where they are with content that’s relevant, direct, and built for how they discover and learn today. It’s not about adding more noise; it’s about delivering ideas, perspectives, and insights that help them make more informed decisions earlier in their journey.” The blog features a growing library of articles spanning Northwood’s core academic strengths, including business administration, automotive and mobility studies, sports management, and entrepreneurship. Each piece is written to inform and guide, answering the real questions students are asking while organically connecting readers to the academic programs, faculty expertise, and career outcomes that define a Northwood education. Each article is crafted to reflect Northwood’s institutional voice while being optimized for the search behaviors of today’s prospective students, a generation that begins researching universities long before they apply. By appearing in those early search results, Northwood establishes credibility, builds familiarity, and creates a meaningful connection with students the moment they are most open to influence. “This platform is a natural extension of our enrollment strategy,” said Dr. Matthew Bennett, vice president of enrollment and strategic alliances. “When a prospective student searches for career paths, we want Northwood to be the source they trust. Northwood Insights makes that possible at a global scale.” Beyond enrollment, Northwood Insights serves the university’s broader advancement mission. As a platform built to demonstrate expertise and institutional relevance, it reinforces Northwood’s standing as a thought leader in free enterprise education and entrepreneurial leadership, directly supporting alumni engagement, donor confidence, and community partnerships. The content signals that Northwood is not only preparing students for the careers of today but actively shaping the conversations defining the industries of tomorrow. “Attention isn’t given anymore; it’s earned,” said Milada Dzevitski, Northwood’s digital content and technical writer who manages the Northwood Insights blog. “This platform is built to meet that standard, with content that’s relevant, direct, and worth engaging with.” Northwood Insights is live now and will continue to grow with new content published regularly. Share this page
New York Giants: Answering Biggest Offseason Questions
How important is it for John Harbaugh to fix the culture? The Giants are 55-109 over the last 10 years — only the lowly New York Jets are worse over that period. Enter Harbaugh, who has a Super Bowl win of his own after 18 years as the Baltimore Ravens head coach.
Ask.com shuts down after nearly 30 years, marking the end of Ask Jeeves
After nearly 30 years, Ask.com has officially closed on May 1, 2026. It was the pioneer of question-answering search engines.
Unleashed Rules FAQ and Clarifications
Sharing clarifications and answering some frequent questions regarding Unleashed’s core rules updates.
The Insight Series: AI & Digital Health
“The Insight Series: AI & Digital Health” features industry experts answering key questions to help inform policymakers and the public about how AI is shaping the future of care delivery. Our latest edition features Carlos Nunez, Chief Medical Officer at Resmed.
Gamers sue Nintendo over tariff refunds, saying consumers should get the money back
Two gamers have filed a class action lawsuit against Nintendo, alleging that the company will be unjustly enriching itself with any refund it secures from the U.S. government over widespread tariffs last year that, among other things, hiked the prices of Nintendo hardware and accessories. “Unless restrained by this Court, Nintendo stands to recover the same tariff payments twice—once from consumers through higher prices and again from the federal government through tariff refunds, including interest paid by the government on those funds,” the suit states. Nintendo sued the U.S. government to secure a tariff refund in March, after the Supreme Court struck down the tariffs a month prior, saying they were illegally implemented by President Donald Trump.. The gamers who have sued, California-based Gregory Hoffert and Washington-based Prashant Sharan, both say they purchased Nintendo goods that had increased in price due to tariffs, according to the complaint. They filed their suit in the Western District court of Nintendo of America’s home state of Washington and are seeking class action status to represent all people in the U.S. who purchased price-hiked Nintendo goods between February 1, 2025 and February 24, 2026. They allege that Nintendo’s recovery of any tariff refunds would constitute unjust enrichment and violate Washington state consumer protection law. Similar class action lawsuits pressing companies to pass on tariff refunds have been previously filed against FedEx, UPS and eyeglass importer EssilorLuxottica. The tariffs were announced in early April, and by mid-month, Nintendo had announced $5 price increases for controllers for the then-forthcoming Switch 2. In August, it raised the price of the original Switch. In their suit, the gamers cite comments from Nintendo executives connecting the tariffs to price increases. In May 2025, a month after the tariffs were imposed, Nintendo CEO Shuntaro Furukawa told investors “Our basic policy is that for any country or region, if tariffs are imposed, we recognize them as a part of the cost and incorporate them into the price.” Nintendo’s March lawsuit, along with tariff-recovery suits from hundreds of other companies was immediately put on hold pending the implementation of a refund system. The U.S. government announced the beginning of the refund process earlier this week. Companies could receive as much as $160 billion, per CNBC. In March 2026, after Nintendo filed its lawsuit to recover the cost of the tariffs, I asked the company if they planned to pass their refund on to customers who’d paid increased prices. The company’s response acknowledged the existence of the lawsuit but avoided answering that question: “We can confirm that we filed a request. We have nothing else to share on this topic.” Even a promise to consumers may not have spared Nintendo this week’s lawsuit. FedEx previously promised to pass its tariff refunds on to consumers. They’ve been sued over them anyway.
Op-Ed: Protecting Taxpayers Means Looking Beyond the Politics of Short-Term Rentals
Santa Barbara is on the verge of making a consequential decision about short-term rentals—but without first answering a basic question: what will it cost?
Protecting Taxpayers Means Looking Beyond the Politics of Short-Term Rentals
Santa Barbara is on the verge of making a consequential decision about short-term rentals — but without first answering a basic question: What will it cost?
The Insight Series: AI & Digital Health
“The Insight Series: AI & Digital Health” features industry experts answering key questions to help inform policymakers and the public about how AI is shaping the future of care delivery. Our latest edition features Julia Strandberg, Executive Vice President, Chief Business Leader, Connected Care at Philips.
Answering your sports questions, plus goodbye to the Cinderellas
Welcome to The Pulse, The Athletic's daily newsletter.
Longtime Epstein accountant takes questions from House Oversight Committee in probe of late sex offender
Jeffrey Epstein’s longtime accountant is answering questions on Capitol Hill Wednesday as part of the House Oversight Committee’s investigation into the late convicted sex offender.
New AI Agent Could Transform How Scientists Study Weather and Climate
Computer scientists and weather scientists have taken the first steps toward creating an AI agent capable of analyzing and answering questions in natural language, such as English, about data from AI-driven weather and climate forecasting models.
NYC top doctor's priorities: health, affordability, and then there's Trump
The new health commissioner has plenty on his plate, including answering "misinformation" from the White House.
Don’t let Congress ruin college sports
Should the revenues made by big-time college athletics be “shared” by all the schools? Do we want “revenue-sharing” socialism to come to college football and basketball? Many in Congress are answering yes to that question. The NCAA isn’t the massive moneymaker the NFL and NBA are, but in many ways the product is more exciting […]
WATCH: Hillary Clinton's full deposition on Jeffrey Epstein ties before House Oversight panel
Videos of former President Bill Clinton and former Secretary of State Hillary Clinton answering questions about convicted sex offender Jeffrey Epstein were released Monday by a House committee investigating the late financier.
Let the Analysts Talk; Alabama Football Will Do the Answering
Critics predict decline, but Alabama football’s silent response on Saturdays speaks volumes. Respect is earned, not demanded, and the Tide is ready.
US Congress seeks answers, Maxwell invokes Fifth amid Epstein case tensions
Ghislaine Maxwell avoids answering questions on alleged co-conspirators in case of sex offender Jeffrey Epstein.
As political talk rages in Milan, U.S. athletes are answering for their country
The Olympics have always been a political crucible. What's different about this one is that it's the United States that's taking heat.
Will Bucks trade Giannis Antetokounmpo this week? Experts make final predictions
CBS Sports experts are answering the biggest question of the 2026 NBA trade deadline as the clock ticks
Fable: Answering the Big Questions After that Long-Awaited Developer_Direct Deep-Dive
Fable just got a first-ever in-depth breakdown at Developer_Direct - and we have even more detail for you, with answers to all the big questions after the show.
AI answering systems are ‘saving the day’ for New England pizzerias. Customers aren’t so sure.
The artificial receptionists, being used to take orders and field calls, have been met with resistance from some customers who said they can’t get the service they are used to.
Superconductors, an opportunity for science and society
Superconductive technologies have long been central to particle physics, but they have also repeatedly moved beyond the laboratory, most notably with the emergence of magnetic resonance imaging scanners (MRI), demonstrating how breakthroughs in fundamental research can benefit society. Today, as global energy, climate and healthcare pressures grow, the conversation is shifting from “What can science give to society?” to “How can science and industry jointly develop technologies that benefit society while advancing research?” The event “Catalysing Impact – Superconductivity for Global Challenges” held at CERN in December was aimed precisely at answering this question. The workshop brought together leading researchers, industry representatives, investors and policymakers to explore how collaboration on superconducting technologies can advance particle physics while addressing some of the world’s most pressing societal challenges. The event sought to bridge fundamental research with real-world deployment and to accelerate collaborative pathways. Across keynotes, panels and round tables, participants examined both the current technological landscape and the opportunities ahead. Introducing the discussions, Frédérick Bordry, Chief Technology Officer of the Gauss Fusion company and former CERN Director for Accelerator and Technology, noted that “Superconductivity has become the silent engine of discovery science.” While the research community needs more capable and more resilient superconductors for the next generation of experiments, they also have significant potential for societal applications. Beyond their role in collider magnets, high-temperature superconductors (HTS) now promise lossless power transmission, compact fusion magnets, efficient renewable systems and new capabilities in healthcare, transport, computing and quantum technologies - all aligned with SDG-17’s emphasis on partnership-driven innovation. Participants also stressed that major hurdles remain. Global competition is accelerating, and Europe must act quickly to secure technological and economic leadership. Doing so will require coordinated investment and supportive policies, including stronger risk capital investment and mechanisms to bridge the gap between laboratory innovation and industrial deployment. The summit set in motion several concrete follow-up priorities, including aligning R&D roadmaps with societal goals and the UN Sustainable Development Goals; making it easier for public–private consortia to build demonstrators that serve both industry and research needs; and advancing investment pathways that better connect research institutions, governments and the private sector. A series of interviews of key participants is available here: Frédérick Bordry & Milena Roveda Mike Lamont Francesca Ferrazza Peter Schroth Ziad Melhem Pietro Corsaro
We share some of the 'most' challenging stories we've worked on (Politics+) : The NPR Politics Podcast
It's another installment of our series, "Political Mosts," where we answer a superlative-type question about covering politics and our careers in journalism. Today, Sarah McCammon (national political correspondent) and Sam Gringlas (Congress reporter) each take a turn answering this question: "What's been the 'most' challenging political story you’ve worked on?" They also answer this question from a listener: “Who is the politician, living or dead, you’d 'most' like to interview?” Listen to find out how you can submit a most-type question for us to answer in a future bonus episode!
You finally got a doctor's appointment. Here's how to get the most out of it
It's not that unusual for a 20-something to text Mom from the doctor's office for help answering a health question.
IRS Issues Guidance For Expanded Health Savings Accounts Under New Tax Law
The IRS has issued guidance on HSAs, answering questions about telehealth services, bronze and catastrophic plans under the ACA, and direct primary care arrangements.
Why are Browns opening Deshaun Watson's practice window? Answering complex question
Though he'll be on the field during the week, the three-time Pro Bowler seems unlikely to play again for Cleveland. Let's break down team's thinking.
Science must move from materialism to mystery
Theoretical physicist and neuroscientist Àlex Gómez-Marín argues that modern science has become trapped in a framework that mistakes matter for the whole of reality. In this wide-ranging interview, Gómez-Marín challenges the foundations of materialism, defends the scientific study of near-death experiences, and calls for a new type of science grounded in mystery and a renewed sense of the sacred. He suggests that abandoning materialism could open the door to a deeper understanding of consciousness, death, and the purpose of human existence. Simon Custer: You are both a theoretical physicist and a neuroscientist, and you have also been fiercely critical of materialist theories of mind and consciousness. What do you think the ultimate nature of reality is?Àlex Gómez-Marín: I don't know what the ultimate nature of reality is, but what I try to first assess is whether the stories that they [mainstream science] have told us about it are right, or maybe whether there are other alternatives. That's why I've been a fierce critic of materialism. As a scientist, I realized that they had sold us this idea that to be a good scientist you also had to subscribe to many other -isms, like materialism, reductionism, and even secularism. And so first I think one needs to unmount these -isms, and then, as is happening today in consciousness studies, we have a huge landscape where there isn't only one game in town, the idea that matter is the only thing that really exists. But because we are studying the hard problem of consciousness, it may be the case that other views of reality, like idealism, or even dualism, or other theories like dual aspect monism... these are philosophical ideas that now, I think, have room in science to be taken seriously. How does something like materialism relate to dualism or idealism? What is materialism in the first place?Well, materialism is the philosophical position that matter is the only really ‘real’ thing in the universe. And I think that worked kind of well because science started 400 years ago and Galileo made that split, I call it the foundational wound. It was a great business move.He said, let's start doing science on that portion of reality that lends itself more easily to mathematization and measurement. So, for some reason, the solidity of this table or the movement of planets lend themselves very well to this foundational idea of science. But as time went on, 400 years later, we realized that we had forgotten the other side, which is what really matters.What really matters is pain, is love, is feelings, sensation, consciousness, which is very hard to define, but very intimate. We all know what it is. It's that thing that disappears when we go into deep sleep and comes back in the morning. SUGGESTED VIEWING On the edges of knowledge With Michael Shermer, Rupert Sheldrake, Güneş Taylor It's what it is like to be, as Nagel said. It's the feeling of being alive. So, materialism is good to study certain things, but then when it ossifies into this ideology and then is dressed like science, now it's preventing us from understanding these key questions that are really that everybody wants to know.Why are we here? Why do we feel reality? Where do we go when we die? And so we need other ways. We need pluralism. I'm only asking for having more options on the table and taking them seriously. Why does materialism fail to explain consciousness? For example, if you were to lobotomize me, I would not be a functional human being. What do you say to someone who might think that materialism adequately explains the mind?Well, here we could speak about different things. We could talk about physics or about neuroscience. I happen to have training with both.For instance, for neuroscientists, 99% of them, I'm not included in that portion, believe that the brain can only be a productive organ. It's an organ that somehow, somewhere, consciousness emerges. It's like a lamp. And then something happens, magic happens, and then consciousness emerges.That's the position you need to be if you're a materialist because if the only really ‘real’ thing is matter, then you need to say, just give us some more time and money and we'll figure out how mind emerges or is produced from matter. There are many philosophically sophisticated ways of criticizing this.Now there's another option, which is the brain as a permissive organ. This was said by William James more than 100 years ago.Now then the brain wouldn't be like this machine, like for instance, a heat engine whose smoke is consciousness, which is what we would have in the first big model, the productive model. But in the permissive model, the brain would be a kind of a filter. And so the brain would still have a very important role in consciousness, but it wouldn't be a productive role.It would be permissive, much like a filter or much like a prism which would receive light. And - I'm speaking metaphorically - it would receive the light of the mind and then it could reflect it and refract it.Now, with these two big options on the table, I think we can make progress into what I call the edges of consciousness, which are all these experiences, weird experiences that many people have, but we don't talk about enough, like near-death experiences, precognitive dreams, synchronicities. These experiences are very important for humans and they have a place in the permissive hypothesis and they are literally impossible in the productive hypothesis. So that's yet one more reason to explore alternatives to materialism. There may be anecdotal evidence for near-death experiences, but is there robust evidence that would be accepted by the majority of scientists who subscribe to the scientific method?Sure. And the plural of anecdotes, someone said, is data.And there's a lot of data. Actually, this year is the 50th anniversary, half a century, since Dr. Raymond Moody realized that we have two ears and one mouth and started listening to what his patients had to say about their experiences while they were clinically dead.The heart had stopped, breathing had stopped in these patients. These patients would come back and tell him these amazing stories that some people may say are hallucinations, but for the patients were hyper-real, like seeing light at the end of the tunnels, seeing deceased family members waiting for them, feeling bliss.___I would say the evidence suggests that the mind can survive the death of activity of the brain.___And so he and others started taking them seriously and writing their accounts down. And then you can do a science based on that material of experience that people have. Now, on the more objective side, more recently people have started to measure what's going on in the brain when people are clinically dead and brought back. This has opened a proper field of study, which is near-death studies.Evidence is a difficult word, because sometimes people think that when you say evidence, this is just the final proof. Evidence is like in a jury. You bring testimony, you bring pieces of data that point in one direction or another.I would say the evidence suggests that the mind can survive the death of activity of the brain. When brains are broken or shut off, there can still be mind going on. And that's revolutionary.That would entail that when we die, it's not game over, which, by the way, is the thesis of materialism. If consciousness survives, materialism dies. It's game over for materialism if something of us continues after we die. Do you think that there is mental continuity after death?Well, I think so, and I believe so, and I could also say I may have experienced it myself, because four years ago I had a near-death experience. I was in the hospital, I lost a lot of blood, and I saw those beings at the end of the tunnel, three beings, and there was yellow light. I was in a well, I was looking upwards, and I hadn't read about NDEs by then, but when I came back from this experience, I decided I would try to integrate this also in my professional life. Not just my personal life, of course, but my professional life as a physicist and as a neuroscientist. So I may have had the experience of glimpses of what an afterlife would be, and I'm not ashamed to say it in this way, and then one can do science of it, and then one can do philosophy of it.One can think about what -isms we were discussing, what views on reality would allow those experiences to be really ‘real,’ as opposed to, well, poor guy, the brain was kind of broken, it must have been a hallucination. Do you have a view about whether individuality or “the ego” persists after death, or whether we sort of merge into some sort of cosmic consciousness instead?I don't know, but my view would be along those lines you're suggesting. I think we could speak about a kind of universal mind, and then the problem is not how we emerge from matter, but how we fragment from a more holistic consciousness into these individual eddies and then when we die, this kind of dissipates.But I'm not sure. For instance, idealism would promote that view, but then what would survive of us after these eddies just vanish and become again the big Consciousness, I'm not sure what that would be. I don't know for sure, but I would tell you I believe something of us survives.And there are other lines of research, not just near-death experience, that can address this really hard question of survival. For instance, there are children who remember previous lives. This was studied by Ian Stevenson at the University of Virginia for more than 50 years.___Research takes place within a selection mechanism that also sometimes reinforces things that are not very scientific.___It's amazing research. He went all over the world, especially in the East, and collected all these case studies, all these stories. In plural, these were data of kids, very young age, who would describe up to 40 items that then he could go and verify.There was no internet. There was really no way the kid could know. Why would the kid say that when I was living in this other body and I was a woman and that's how my house would look like or that's how I would die, right? Again, there is evidence, not proof, but there's evidence not only that something weird and interesting is happening as we cross the threshold, but also when we come back to this life.Scientists should not be afraid of studying this, but they are because there's stigma. There's usually stigma upon the enigma, and this is so unfortunate. And one of the reasons is because of the ideology of materialism, because those things cannot be possible. What is wrong with the politics of science such that they have generated this stigma?So many things. Science is a human activity to begin with.So it falls prey to all our passions and ego and greed. That's one thing. Science is a job for the good and for the bad.You need to get a salary. You need to get grants. Research takes place within a selection mechanism that also sometimes reinforces things that are not very scientific.And then, we didn't have time to unpack this, but science for many years become entangled, as I was suggesting before, to other -isms, materialism, secularism. So anything that smells like the afterlife, people may think has to do with God, and then they freak out.Anything that suggests that there's something about the mind that may not need a physical material substrate to exist, it smells like non-materialism. So, all these -isms are ideologically blocking that kind of research, and then there are all these sociopolitical constraints as to what should be studied and what shouldn't be studied.I call it the backstage of science. Sometimes we scientists or science communicators seem to speak as if the data is the only thing that matters. We say, well, data and theory.But then there's a third leg of this stool, which is all the politics that goes behind the scenes. And we often don't speak about this, and it's quite vicious and petty, and it's very real. Why is materialism so attractive to most scientists?Well, an easy answer is because we've grown up with it.It's what the educational system promotes, and that's what you hear when you go to university. So it's like growing in a culture. It feels like the air in which you breathe.So it's very hard to begin with to detect, well, maybe there's another alternative. Maybe there are other ways of doing science, other environments in which one could do science. That's one reason.And other reasons maybe are more profound, and I'm not qualified to explain them, but I could say, looking at this 400-year history of science, since it started around 1623 with Galileo's book The Assayer, that science went and coupled with all what's going on in the West.And so the fall of religion, you could say, and science presented us this new alternative that then could be coupled very well with other -isms, and this idea of growth, and then science losing its good twin brother, which was philosophy. There's a whole natural history of science starting as philosophy, kind of emancipating or breaking out from philosophy, and then marrying technology, and then marrying other social systems.From that point of view, materialism is a very convenient idea to propose. There were attempts, like the German idealists tried to do a more romantic science. But no, the idea prevailed, like Francis Bacon said: You should pursue nature through all her corners, he said, and make her spill her secrets.Our attitude towards nature in the science that dominates is very much reflecting how we treat nature in our society, in our culture, like a resource to extract secrets by force and then dominate it. How is materialism related to the notions of growth and progress? What's wrong with having a productive citizenry?This is another very interesting and very difficult question to answer.But there's this recent book coming out by Paul Kingsnorth. In it, he explains this idea of the machine and this idea of progress. And this, again, this conflation of more is better, of we need to go forward always, and convincing us that the way to do that is to continually extract more from nature. But because we don't have the religious context anymore, because God is dead, then what do we have? We have what we can do as humans with our own gadgets.It's kind of the story of the Promethean fire. We will just build anything to make ourselves God.A good example today is transhumanism. Transhumanism is this pseudo-religion dressed in technoscientific language whose goal is very religious. They promise immortality, they promise redemption, they promise transformation of the entire natural world, but it's done by human means through technology. Are you suggesting that we can't have ethics without religion?Well, we should have ethics with or without religion. That's another pruning that has happened in science. We say, forget about aesthetics, although some physicists still think that beautiful means probably true, and forget about politics. We pretend there's no backstage of science, and even let's forget about ethics.___Science needs to be in the service of mankind.___Scientists, when they become more like engineers, they're just thinking how to make things work so that they can go to the moon, go to Mars, make machines that think, but they don't think whether that's a good idea.And also consider metaphysics. Many scientists for a long time pretended, and maybe that comes from the stream of positivisms, that really one doesn't need metaphysics at all, except that materialism is always the metaphysics running the system.You see, it's not just ethics. It's the pruning of all of these, you could say, five main legs of philosophy that just makes a kind of unconscious science, a science that doesn't really know what it's doing. It's doing it very well locally, but it just doesn't know what it's doing globally. Do you think science has to have an ultimate vision and purpose behind it for it to be effective or for it to be meaningful and transformative?Yes, a way I would say that is that science needs to be in the service of mankind. And it hasn't been that. And we can see it through, you know, when we discovered the secrets of the atom, and all of a sudden, the Manhattan Project, and then we create nuclear weapons.And now we're trying to crack how machines may think, and now we're creating this mess, right? So science needs to be in service of mankind, not in service of a few ideas that maybe want to make more money or just dominate upon nature. What about planes, trains, automobiles, and modern medicine? Hasn't science served mankind by helping us develop those technologies?Yes and no. I see where you're going, and it's fair.I came here by plane, and it's a blessing. When I almost died, the surgeons did their job, and they saved my life. But these two forced choices between Luddites and Silicon Valley types, I think, of course, it's a false dichotomy.Progress, in a way, it's good, but we often don't speak about the dark side of the moon. We say the great things that progress has brought, and we don't speak about the disasters, the side effects that it has come with, and the same when we promise new technologies. We tend to think that any technology is great, that email is going to save us so much time because we don't need to write letters and send them anymore.Is that true? I spend so many hours a week writing emails. Let's just say there are great things about it and bad things about it. People like Harvard psychologist Steven Pinker, for example, argue that we've made moral progress over time because of the Enlightenment. Do you think that's totally wrong-headed?I think he's emphasizing a side of the moon, and he does that very well, and you can find tons of plots where there's a slope going up and say it's great. But I think he should also tell the not-so-friendly story.But if your ideology is just to resist and continue to explain that the Enlightenment is the best thing ever and reason is the best thing ever… this feels to me like you're worshipping these abstractions.I'm very critical of it and also of these, again, science communicators and scientists that say, Oh, science says, in the name of science, experts say. It's like, come on, let's be careful because we can shoot ourselves in the foot by putting forth to the people an image of science that we know is not really true. Recently there's been a resurgence of spirituality and of people who say that they're spiritual but not religious, especially in the United States. If materialism is going away, what is going to fill that gap? Are we going to return to traditional religion? Do you see that being connected with the rise of the political right?I'm not a fortune teller, so I don't know what's going to happen. But, yeah, we could say we're in this post-materialist age and even post-secular age. One cannot come back to the past, but maybe just to contact with the roots is a good idea.What do I mean by that? I think we need to do a science 2.0, a science that says thank you to Galileo and thank you to materialism, but we need to reinvent even a new kind of scientific method. We need to do so in a culture where we realize humans cannot thrive in a vacuum where there's this idea that the sacred has to be removed.Now, how do we do that without bringing in back all the vices of religion? I don't know. I'm from a Catholic country.Here we are in England, so there are differences and interreligious dialogue has always been a challenge. But I think maybe a way of putting it is: after all these conflicts and branchings I was quickly alluding to, science from philosophy and then also from religion, now there's a time of reconciliation perhaps and maybe debates in the proper sense, like exchange of ideas in service of learning and getting into something higher than both poles. We need science to talk to religious people and it's interesting when people say they're spiritual and not religious.I think this is just a way of saying, no, I don't want to go back, I want to go forward. But at the end of the day, religions have offered us practices and grounding that we now desperately need. Everybody can and should just meditate or pray or do whatever they want, but we're in a crisis and it's time for reconciliation. What do you say to critics that say you are merely projecting our need for meaning onto a fundamentally indifferent universe?Yeah, I know that the typical science communicator says something like this. But we're not projecting. Human beings feed on meaning.It's the other way around. If you're a materialist, because the only thing that there is is matter, all that comes next, free will, consciousness, meaning, this is a kind of illusion that we need to explain.They're just craving for meaning, but there isn't really for them. I would also like to remind my materialist friends that for decades, if not centuries, they've said in the name of science, we know that this and this and this doesn't really exist. I think now they sense they're forced to say, well, actually, we don't know. We've been saying, for instance, that there's nothing after you die, and now probably they need to admit that they don't know the answer.___We need to do a science 2.0, a science that says thank you to Galileo and thank you to materialism, but we need to reinvent even a new kind of scientific method.___So it's a moment to open up possibilities and also to gently but fiercely critique these claims that I think harm society. If you say in the name of science, get on with it, when your father dies, you'll never see him again. Well, what the F do you know about it? You haven't studied the literature, you haven't had any of those experiences, and basically what you're doing is you're just doing marketing on ideology. This needs to stop. Do you think that it's scarier for some people to entertain the thought that there might be life after death, compared to a materialist worldview where you just die, given that there might be consequences for unsavory behaviour?Well, death and dying is scary. It's maybe the ultimate ending. It's a limit on life, and when we're in this conquest mode, we don't like limits.And it also has, there's a shockwave backwards, so I think if you change your notion of what death is or may be, you live differently. It also has consequences, as you're saying, for the future because this is not our only goal here and we come back in whatever form. And again, different religions would say different things. I the East, they are more happy with the idea of reincarnation, and here in the West, there are other preferences. But in any case, it changes how we live, and that's really what matters.It's not about just projecting or imagining what we'll be after, but how we live now and also how we treat those who are dying. So it goes from the individual to the families, to the hospitals.Now in the near-death research I do, this has ramifications at all these levels, all the way to society.But our society is thanatophobic. It has a phobia of death. We don't want to hear about death, and this is another thing we need to put on the table and be willing to talk about it. Do you think that we might get closer to answering ultimate questions like why is there anything at all if we jettison materialism?That’s an excellent question, Simon. Two things: we should stop treating reality, I believe, as a great sudoku, as an enigma, as something that with intelligence, money, and time that we will crack and instead treat reality more like a mystery. And what you do for in front of a mystery is not to be the clever guy in a class and say “I’ll solve you” but more like “I will bow and you will transform me.”I know this sounds a bit like a scientist speaking like a mystic. But I think this reorientation is needed. In the end, we won’t crack the big questions, but they will transform us. If we free ourselves from this prison of materialism, the way we will explore these questions will be freer, more creative, and in service of mankind. Do you think exploring mystery is the reason why we are here?I think we are here because, and this pseudo-theological argument I’m making off the cuff, But the One, the Absolute, if there is such a thing, had everything except limitation. We are that absolute experiencing that contingency. It’s like an act of divine proprioception. It’s a wonderful adventure, it’s just incredible to be alive. Perhaps we have forgotten why we are here and the whole point is to experience the flesh.Let me end by saying this. I criticize materialism harshly. I bang on this dead horse, because I think it’s dead. But matter is a great mystery. So maybe my invitation is as follows: hey materialist friends, come here, let’s work on materialism 2.0! Consciousness is a mystery, but matter is also a mystery. The fact that we can have an intersubjective experience consensus, the fact that we can apply mathematics, that we can measure things... the physical world we take for granted, but it is a great mystery too.Maybe that’s related to your last question: why are we here? Why did spirit decide to incarnate? Being in the flesh may be a great thing if spirit decided to do so.Àlex Gómez-Marín, thank you very much.My pleasure.
Cities put science in the spotlight
When three European cities launch an initiative next year to boost scientific excellence and collaboration, much of the action is likely to take place in public spaces rather than in the laboratory.That is welcome news for Ana Marušić. A medical doctor and professor at the University of Split Medical School in Croatia, Marušić champions close connections between “town and gown” to encourage citizen involvement in research, raise public health awareness and ignite young people’s interest in science. “Responsible research and innovation cannot be done in an ivory tower, answering only the questions that are relevant for scientists,” explains Marušić, who chairs the Department of Research in Biomedicine and Health and leads the Centre for Evidence-based Medicine. “The role of the university is to be a medium for transferring new discoveries in science to society, but also to listen to society about what is important and what is needed.”Three cities united by scienceMarušić’s efforts stand to gain traction through Science Comes to Town (SCTT), a new European project to highlight science’s role in society and strengthen cross-border collaboration in research, innovation and sustainability. With funding from the European Commission, three cities—Split, Brest (in France) and Kiel (in Germany)—plan more than 1,000 public events, workshops and competitions for citizens of all ages, researchers, businesses and policymakers. The year-long project kicks off in Spilt on 20 January with a conference involving partner institutions, community representatives and European policymakers. The three cities may be geographically far apart, but they share much in common. All are located on coasts and are home to top regional research institutions that are part of SCTT. Among the project's partners, the University of Western Brittany in Brest, Kiel University and the University of Split belong to the SEA-EU university alliance, uniting nine European coastal academic institutions to advance research, student exchanges and sustainable development. “These universities have a very strong connection between gown and town,” explains Marušić, who is one of Split’s SCTT ambassadors. “It's very important that these universities are there for the community so that we can learn from each other and grow together.”Tackling Europe’s STEM shortagesSCTT will also reinforce efforts to address Europe’s widening gap in science, technology, engineering and mathematics (STEM) education. Studies show that nearly eight out of ten small- and medium-sized businesses cannot find enough workers with the skills required in advanced computing and artificial intelligence (AI)—hindering initiatives to boost European innovation and competitiveness. In healthcare, the European Commission has estimated a shortfall in medical professionals of 1.2 million, due to fewer young people joining the field and an ageing population that needs more care.Strengthening knowledge and dialogue can also help build trust between scientists and the public at time when disruptive technologies are reshaping research and clinical practice, but are also sparking questions about ethics and accuracy. With experience in the classroom and in clinical epidemiology—a discipline involving monitoring and controlling public health problems—Marušić sees the potential risks of over-reliance on AI and chatbot answers for both research and learning. “AI is a very good tool, but one has to be very critical about it,” she adds. “Delegating brain activities will definitely diminish your neural capacities because you are not developing the circuitry that is important for higher-level cognitive engagement.” She stresses the importance of critical thinking and encourages students to use AI as a researcher’s tool to reinforce rather than supplant human discretion and brainpower.The power of outreachSplit’s experience in bringing scientists and the public together has provided a platform for discussing research ethics and explaining science in simple terms. Local efforts to expand health literacy and awareness have helped reduce cardiovascular disease among women, according to Marušić’s research. The city’s university also hosts events to introduce schoolchildren to science, using hands-on experiments to spark curiosity.Marušić’s own love of science began with an interest in studying molecular biology. “But my parents told me, why don't you study medicine?” she recalls. “I said, OK, why not? And that was the best decision that I made.” Marušić is not a practicing physician, but teaches anatomy and public health. She also co-edits ST-OPEN, an overlay university journal that works on capacity building for research publishing among students and their supervisors. Balancing teaching, research and editorial work, she is a strong advocate for medical studies, urging high school students to consider medicine “because later on it gives you a really wide perspective about human life and about society” as well as many career opportunities.As SCTT prepares to bring science into daily life in 2026, Marušić hopes that it will build permanent bridges between scientists and citizens across Europe. “We can be a showcase for making collaboration with the community stronger to share knowledge, attract young talent and integrate critical and scientific thinking into everyday life,” she explains, adding that "collaborating with businesses to improve cities and communities is also an important aspect of this project."Science|Business, which connects policymakers, academics and industry through its news reporting, analysis and events, is an SCTT partner.