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The IAC and California-based Predictive Science Inc Predict the Solar Corona for the August 12 Eclipse Using the La Palma Supercomputer
Ahead of the upcoming solar eclipse on August 12, the Instituto de Astrofísica de Canarias (IAC), in collaboration with the research group Predictive Science Inc. (PSI, San Diego, California), has successfully simulated in high detail the structure of the solar corona that will be visible during totality along the path of totality, including Palencia, where the IAC will gather more than 40 spanish, moroccan, and american astronomers.
UK's IG Group agrees to buy sports gaming firm Underdog for up to $1.3 billion
Britain's IG Group said on Thursday it has agreed to acquire U.S. daily fantasy sports and prediction markets operator Underdog for up to $1.3 billion, in a deal that would strengthen its position in the fast-growing U.S. retail trading market.
Robinhood shares edge lower after record quarter for prediction markets business
Predictions markets is now the fintech's second largest trading business.
Robinhood shares edge higher after record quarter for prediction markets business
Predictions markets is now the fintech's second largest trading business.
The new "science golden age" looks suspiciously like a grift
This edition of PN is made possible by paid subscribers. Become one ⬇️ 🚀 Subscribe to PN 🚀 The Trump regime is trying to usher in a “Golden Age in Science” where scientific research is run like a Trump family business, artificial intelligence is all that matters, profit is everything, and expertise is for chumps. Or at least that’s the vision emerging from a new 123-page “Report to the President” from Michael Kratsios, the Director of the White House Office of Science and Technology Policy. In a normal administration, you could probably skip over learning about a science policy document — but this is no normal administration, and this is no normal science policy document. Instead, it’s Trump’s attempt to end the actual golden age of science that was kicked off in 1945 with the publication of '“The Endless Frontier” by Vannevar Bush. [ ](https://www.publicnotice.co/p/harmeet-dhillon-portland) [ Harmeet Dhillon demonstrates danger of posting through it ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Liz Dye · Jul 29 [ Read full story ](https://www.publicnotice.co/p/harmeet-dhillon-portland) Bush, at President Franklin Delano Roosevelt’s request, laid out a vision of federal support for science that centered on funding universities to do basic research, saying that as long as those institutions were “vigorous and healthy and their scientists are free to pursue the truth wherever it may lead, there will be a flow of new scientific knowledge to those who can apply it to practical problems in Government, in industry, or elsewhere.” Kratsios’s report is supposed to be the successor to Bush’s, and even apes the format, but this isn’t really a document about science policy. It’s one about ending science research as we know it in favor of shoveling cash at big tech companies. While it might be temping to wave this away as an aspirational policy document, Trump has already begun to shift billions in research funds to AI projects and has taken a hatchet to science funding across the board. He’s teed up the shift Kratsios proposes here, and since neither Congress nor the Supreme Court seem inclined to stop him from doing whatever he wants with taxpayer money, it isn’t doomering or hyperbole to say we are staring down the barrel of a world where the only “science” the government intends to support is for-profit tech and defense advancements. Science for dummies Part of how you can tell this isn’t a document about science is that you are immediately faced with an absolute wall of business-speak of the worst sort. Did you know we must “tightly couple our science and technology enterprises to ensure that groundbreaking ideas invented in the United States are rapidly prototyped, tested, manufactured, and scaled domestically”? You do now! That tone isn’t surprising, because Kratsios has no background in science or research. He has a bachelor’s in political science and spent most of his career working for Peter Thiel at Thiel Capital. After a stint in the first Trump administration as Chief Technology Officer, where he also did not do any science, Kratsios was tasked in 2020 with overseeing the Pentagon’s research budget for a brief time, a position that, as the Wall Street Journal put it, “carries a great deal of power in terms of dictating investment allocations.” He spent the Biden years at Scale AI as “head of strategy,” which you will also note is neither a science nor a research job. But Scale AI has contracts with the Department of Defense and, as the Washington Post wrote in 2023, “has been aggressively pitching itself as the company that will help the US military in its existential battle with China.” And now you have the necessary background for our new golden age, which is going to be a golden age of taking money away from scientists and universities and giving it to companies like Scale AI. A note from Aaron: Working with brilliant contributors like Lisa takes resources. If you aren’t already a paid subscriber, please become one to support our work. 👇 Subscribe In a genuinely galling move, Katsios spends a lot of time slamming universities because of “administrative burdens on researchers” and the “well-documented inefficiencies” in academia, the message being that those damn universities waste the time of amazing researchers with paperwork. Except it’s the administration that is attempting to impose inefficient, unnecessary burdens on those researchers with a proposed Office of Management and Budget rule that would require senior political appointees to approve every science grant and ensure it aligns with Trump’s personal priorities. Researchers would also have to seek prior government approval to attend conferences or publicize their research. And political appointees could terminate any grant at any time if they feel like it. [ ](https://www.publicnotice.co/p/omb-rule-science-funding) [ The murder of expertise ](https://www.publicnotice.co/p/omb-rule-science-funding) Lisa Needham · Jun 11 [ Read full story ](https://www.publicnotice.co/p/omb-rule-science-funding) But when it comes to AI, we’re going to “restore permissionless innovation.” The report proposes to give lucky ducky innovators a pile of cash up front for grants lasting five years or longer, saying “awards should be fully-funded in year one, with all resources earmarked upfront, to minimize administrative burdens and reduce pressure for researchers to generate intermediate results to secure continued funding.” Yeah, wouldn’t want to have to make the Very Special Tech Bros show results or get money parceled out year by year like the plebes at universities. The report also proposes that we should have “fast grants” with “simplified applications requiring just a few pages of writing” because that is definitely how science works, just writing a bit off the dome and getting some cash. [ ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) [ Tech elites are turning AI into ChatGPTrump ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Paul Waldman · July 29, 2025 [ Read full story ](https://www.publicnotice.co/p/trump-ai-action-plan-altman-llms) Oh, and we should have prizes and challenges, where multiple teams compete. The proposed prizes include incentives like “advance procurement commitments,” which means the federal government agrees to buy whatever is being developed. There’s also “regulatory fast-tracking,” making sure all those great AI thingies don’t have to wait too long to be unleashed on a market. These aren’t incentives to do science. These are incentives to develop things with tax dollars that you can then sell to the government for more tax dollars. In the suggestion that might be the most unhinged, the most very opposite of how both government and research work, our new age will include “golden tickets.” That’s where an individual reviewer in an agency — yes, just one person — can “recommend unconventional proposals that may not pass consensus-driven review panels” because somehow this will “surface valuable ideas too divisive for committees and attract higher quality reviewers by empowering them to exercise independent scientific judgment.” Yes, that’s saying that a random person in an agency should be able to shovel money at some idea even if it can’t pass a review panel, and that the opportunity to do so will attract better employees because apparently all the best minds in science are chomping at the bit to be allowed to unilaterally fund AI research based on their personal vibes. But that isn’t at all how actual science works, and actual scientists aren’t unhappy about review panels. They work collaboratively, not siloed in some secret race to create the next AI chatbot. A 2020 study by the National Bureau of Economic Research examined whether peer review panels succeed in helping agencies predict which research ideas will best advance science. Peer review was better at finding “diamond in the rough” applicants than a single government program official. How about that. Trump always wants a taste It’s painfully clear that what Katsios is trying to do here is turn the whole of government science research and funding into the sort of “move fast and break things” paradigm that is the hallmark of big tech. That method works to line the pockets of tech executives, but it isn’t science. There’s a reason the government funds different kinds of research than private tech companies do. What Katsios either fails to understand or deliberately ignores is that the federal government is the main funder of basic research precisely because it can take a long time for it to bear fruit and is not intended to be profitable as such. “Basic” here does not mean rudimentary or simple, but rather research that is designed to advance scientific knowledge instead of achieving a specific outcome or product. Big tech companies don’t widely fund that sort of research, because it doesn’t make them money. Industry dollars account for only about 20 percent of basic research funding, while the government contributes around 60 percent. Big tech companies and startups do, however, rely on and benefit from that basic research. A 2019 study found that 35 percent of all patents obtained by venture-backed startups from 1976 to 2016 cited federally supported research. Basic research funded by the NIH contributed to every single drug the FDA approved from 2010 to 2016. [ ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) [ The Saudi nuclear farce and governance by whim and meme ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Noah Berlatsky · Jul 27 [ Read full story ](https://www.publicnotice.co/p/trump-saudi-nuclear-deal) Unlike inventing the next ChatGPT, actual science is slow and iterative. Government funding of research that, on its face, would not appear to lead to any big new invention is actually what underpins those big new inventions. If the government hadn’t funded research into desert lizard venom, we wouldn’t know about semaglutide, and we wouldn’t have Ozempic. If research scientists hadn’t studied how bees optimize nectar foraging within a colony, we wouldn’t have the algorithm that assigns internet traffic across computer servers. The report assiduously ignores that a symbiotic, profitable relationship between the federal government, universities, and private companies already exists. Each federal research dollar generates about $1.50 to $3.00 in long-term economic benefits. The $36 billion the government awarded in NIH research funding in fiscal year 2025 generated $94 billion in new economic activity. Trump’s proposed new golden age is intended to strip those billions from universities, resulting in the dismantling of departments and the shuttering of labs. But Katsios has a plan for that: Universities should just become trade schools to churn out no-show STEM degrees! “Require universities and community colleges to embed practical technical training and externships into STEM curricula. Let hands-on experience and industry credentials count toward degrees.” It’s quite the feat to, on the one hand, strip schools of funding for scientific research while simultaneously demanding to control what is taught and, oh, also, colleges need to give degrees to employees at big tech companies just for being employees at big tech companies. The new golden age would also exacerbate the brain drain Trump’s policies have already caused. Nature found that in the first quarter of 2025, US scientists submitted 32 percent more job applications abroad than in 2024. A March 2025 poll by Nature of roughly 1,600 scientists found that over 1,200 said they were considering leaving the country. Europe is investing $565 million to make it a “magnet for researchers” and provide funding for scientists who relocate. The new golden age is also about embedding Trump’s xenophobia into the fabric of American science. The report complains of an “over-reliance on foreign students” that “creates a security challenge our institutions are ill-equipped to address” and that a “reliance on foreign talent sidelines American students.” This is, to put it mildly, nonsense. International students pay far higher tuition and often receive no financial aid. Their tuition dollars are what make it possible for American students to get financial aid. In the 2023-2024 school year alone, international students contributed $43.8 billion to the US economy and supported over 378,000 jobs. Those 1.1 million international students accounted for only six percent of the total number of students in higher education that year, but were such an economic engine that for every three international students, one job was created or supported. It’s impossible not to wonder whether part of Trump’s loathing for universities and their leading role in scientific research is that there is no way for him to corrupt the process and make money off it in the same way he can by giving millions and billions to Silicon Valley types who, in turn, give him millions in cash. There’s no way for his children to invest in universities that the government then gives no-bid contracts to, fattening the family’s bottom line, which is pretty much the Trump sons’ current venture capital practice. Trump and Katsios’s view of science is narrow, cramped, and wrong. We’re not in a crisis, we’re not a failed state. We’ve been a science superpower for decades, and the only thing that threatens that is Donald Trump. Tech bros are already living high off the hog in this administration. They don’t need any more of our tax dollars. Hopefully this new golden age never comes to pass. Thanks for reading Public Notice. This post is public so feel free to share it. Share We’ll be back with more tomorrow. If you appreciate today’s PN, please do your part to keep us free by signing up for a paid subscription. 🚀 Subscribe to PN 🚀 Thanks for reading, and for your support.
Who will replace Andy Burnham as Manchester mayor?
Despite early predictions of a close battle with Reform, Labour on course to win first electoral test for new PM
5 bold predictions for the 2026 BYU football season
Expectations for the Cougars haven’t been this high in years — but that’s what a 23-4 record since the start of 2024 will do for your program. Perhaps Kalani Sitake’s crew finally gets over the hump this fall to earn a College Football Playoff bid, or maybe BYU will suffer a similar regression to that of Big 12 foes Baylor or Colorado last season. A year ago, I took a stab at guessing what the Cougars would accomplish in 2025, offering five bold predictions which you can read here.
Robinhood CFO details surging prediction market business as firm posts record revenue in Q2
Robinhood beat analyst expectations on several fronts though crypto revenue fell significantly.
How a Few Hundred Dollars Could Manipulate Election Prediction Markets
Touted as a truth serum for political forecasting, they’re vulnerable to distortion, sometimes at surprisingly low cost.
‘Not out of the woods’: Delaware doctor predicts more measles cases as the state’s outbreak rises to 5
The CDC and Delaware public health officials urge unvaccinated residents exposed to the measles virus to get the shots within three days.
DraftKings, Delta Launch Free In-Flight Sports Contest 'SkyPicks'
SkyPicks is a free-to-play sports prediction game that lets eligible passengers compete in contests while flying.
MLB Predictions and Moneyline Picks for Wednesday, July 29
Here are the MLB moneyline leans and insights from Colby Marchio. Check out all of the underdogs he's backing on July 29!
MLB Expert Picks & Baseball Predictions July 29
MLB expert picks and moneyline, run line, and Over/Under predictions for July 29, featuring the Dodgers, Yankees, and Rays.
Delta to offer sports game on flights with DraftKings but no betting
Delta Air Lines said Wednesday it will offer a sports prediction game on flights in a partnership with sports betting company DraftKings , but will not allow gambling.
Polymarket Launches Institute to Advance the Science of Prediction Markets
/PRNewswire/ -- Polymarket, the world's largest prediction market, today announced the launch of the Polymarket Institute, a first-of-its-kind research...
Get in the game: Delta, DraftKings bring sports fandom to new heights
Delta and DraftKings are bringing a new kind of sports experience onboard: SkyPicks, a free-to-play sports knowledge contest built for fans who want to do more than just watch. SkyMiles Members (ages 21 and up) can make sports prediction picks and play to win Delta gift cards – no betting, deposit functionality, buy-in, miles or financial risk involved. It’s one more way Delta is becoming the home for sports fandom in the sky.
Prediction market fires back on ballot betting guidance
When the Wisconsin Elections Commission said voters cannot bet on an election they cast a ballot in, per state law, Kalshi said that was “illegal.”
Betting On Hawaiʻi Politics Is Legal Despite State’s Gambling Ban
Users can now wager on when indicted Lt. Gov. Sylvia Luke may resign on the prediction market app Kalshi, which is not covered by Hawaiʻi’s gambling law.
Scientists look to shark DNA for the genetic signature of time
Aging leaves telltale marks on DNA, and for the first time, scientists have used those molecular signatures to create a model that predicts the age of sharks.
GBTA Forecasts Business Travel Prices Stay Elevated through 2026
Relief ahead in 2027, as fuel and labor costs are predicted to ease while global demand remains strong
The Science Behind the AI Panic Is Shakier Than You Think
A column by Sascha Lobo Is AI making us dumb? So asked DER SPIEGEL on its cover a while ago. After a few weeks of recovery and a therapeutic intervention with the help of my AI, I feel able to respond. That’s a bit unfair, of course; the article itself is more nuanced than the loud cover, the image of a schoolkid with dull prompt questions, or the subtitle: “AI is conquering the schools, and educators fear a disaster.” The short answer to “Is AI making us dumb?” is: no. The long answer is more interesting, and even carries a preliminary glimmer of the spectacular. Unfortunately, it requires a detour into the sphere of artificial intelligence, into the mogul-field terrain of technology assessment, the attention economy, and the destructive virus of cultural pessimism. Along with narrowing the scope to AI’s effects on education and work rather than on intelligence. Because the honest version of the question would be: Does AI help us learn and work, or not? Generative AI, which set off the still-ongoing hype with ChatGPT, has only existed in relevant distribution since late 2022, early 2023. For a technology-driven transformation of people and society, that is extremely short. For that reason alone, research is still in its infancy. And technology assessment is not a fast discipline anyway. Prominent voices from Elizabeth Eisenstein to RAND to Tom Wheeler say we still cannot conclusively judge the consequences of the printing press. Its invention is a mere 580 years back, and some scholars would rather not circulate assessments that might have to be retracted in two or three hundred years. We’re Going Through Growing Pains A phenomenon that already caused upheaval in social media research makes serious assessment of AI’s consequences even harder: the “moving target” problem of LLM-ology, as the linguist Sean Trott called it in 2025. AI develops so quickly and so unpredictably that researchers often end up studying snapshots of the past. There are concepts, from morphological analysis to anticipatory governance, for keeping research, planning, and regulation halfway meaningful anyway. But even with those, universally valid statements are rare. DER SPIEGEL - The German View is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber. Subscribe We should therefore treat findings about the interplay between humans and AI as far more procedural and situational. Unfortunately, this challenge comes at the worst possible time. We are going through growing pains: AI’s everyday impact has grown very large very fast, and with it the longing for guidance. Annoyingly, the body of solid knowledge has not exploded along with it. Experts cannot be moved to broad consensus on even banal statements about AI. Sascha Lobo, born in 1975, is an author and strategy consultant focusing on the internet and digital technologies. Together with Jule Lobo, he explores the debates of the day in the podcast “Feel the News – Was Deutschland bewegt” (”What Moves Germany”). Nvidia CEO Jensen Huang says software developers are dying out. Bill Gates considers coders one of only three professions that will survive the AI tsunami. Top tech economists find virtually irrefutable arguments both for and against an AI bubble. The same naturally applies to the structurally youth-hostile debate over whether AI is good or bad for young people. The gap between the demand for insight and the supply of solid knowledge creates an orientation vacuum. This vacuum of AI cluelessness is filled, as the attention economy described by Georg Franck in 1998 would have it, with half-knowledge (funnily enough, often AI-generated), marketing, and self-marketing. After all, infinite money is at stake, along with academia’s best current shot at global fame. But this iridescent froth of interpretation operates more by the algorithmic principles of the digital public sphere than by seriously earned insight. That is why dramatized, fear-feeding claims about AI are so promising. It tempts parts of academia into distorted drivel, and parts of the media then sensationalize the published drivel once more. Was the Research Aimed at a Desired Result? How badly this can influence academia and public perception is demonstrated by one of the most-discussed studies on AI’s effects: “Your Brain on ChatGPT.” The MIT study by Nataliya Kosmyna also gets plenty of space in the SPIEGEL cover story. What was measured and interpreted: lower brain activity in people who write with AI assistance, compared to people who only google or write without any tools. As is common with preprints, the study has not yet been peer-reviewed, and it contains substantial weaknesses that experts have sharply criticized. The first round had 54 participants in three groups, the second only 18, who reportedly also came from MIT’s own orbit. There was no preregistration (committing in advance to what you want to find out with which data). In their analysis, Stanković et al. even discovered an opposite effect that the study does not further explain. Some measurement data has not (yet) been published. And the EEG analysis method used is considered too imprecise to support such far-reaching conclusions. The biggest criticism, though, is the suspicion of an activism-driven study. In an interview with Time, lead author Kosmyna said she published the study immediately, rather than after full peer review, because she feared politicians might otherwise decide to put ChatGPT in kindergartens. She considers that absolutely harmful. It is legitimate to hold such a view. It just seems unscientific to approach a study with it, and then to design the setup so that the chance of a fitting desired result remains as high as possible. Ideologies Collide It is not easy to separate genuine AI insights from studies that trivialize and weaken well-founded AI criticism. The same goes for the opposing, AI-enthusiastic narratives, because the pro-AI side works against it with billions in resources. Ideologies collide, fed by egos, PR strategies, moral posturing, and once-in-a-lifetime opportunities. Doomsday marketing makes the search even harder: AI companies can profit from warnings about the dangers of AI, whether through the notoriety of apocalypse narratives or because, in some target groups, danger translates into power. Some seemingly negative findings are therefore quite welcome in the AI industry. If you try to get at the findings presumably less influenced by interest groups, the picture in education seems relatively clear: AI can improve educational outcomes when the right AI is used the right way, namely pedagogically. Simply dumping an AI chatbot into a classroom, by contrast, accomplishes little. Huge surprise. But something else is also obvious: whether they are allowed to or not, kids use AI for school, which is why the controlled integration of AI tools into education is, in the medium term, entirely without alternative. In the world of work, the landscape of findings is more complex and requires more differentiation. A series of serious studies points to an AI effect that suits neither the alarmists, regulation fetishists, and AI opponents, nor the trillion-dollar corporations with their armada of paid scientists, PR professionals, and ecosystems: working with AI helps the inexperienced (at least for now) considerably more than it helps the pros, in certain fields of work, and provided they know how to use it correctly. Missing Domain Knowledge Among the experienced, the professionals, and the high flyers, by contrast, despite frequent time savings, partially negative effects and new problems are emerging. Take the jagged frontier problem: AI solves task A brilliantly and fails completely at task B, even though both look similar even to professionals. Or the verification-cost problem, in which AI’s greater productivity gets eaten up by the enormous effort of checking its output. Or the illusion of competence, because AI makes new domains seem easily penetrable, until you painfully discover that deep domain knowledge is missing. Taken as a whole, the effects of working with AI do lean positive. But the promise that AI works as a turbocharger for everyone and boosts practically everything simply refuses to materialize. The AI magic the world has been feeling since ChatGPT arrived in late 2022 has so far barely shown up in most companies’ numbers. The consulting firm McKinsey has coined a term for this, the “gen AI paradox,” and believes that work processes and corporate structures would have to be rebuilt quite fundamentally to realize AI’s benefits at scale. Reuters just reported that only 3.3 percent of Microsoft’s customers have subscribed to the AI package Copilot. That may be down to the product; in other areas we continue to see soaring successes and new AI triumphs. But after the first quarter of 2026, disillusionment is the word for all too many AI projects at traditional companies: because the promised revolution of AI agents has so far failed to arrive or been postponed, and because of the leveling effect that many of the studies cited here suggest. Against Inequality The societal effects, on the other hand, appear rather encouraging. Many previous technologies operated on the Matthew principle, named for the Gospel verse about giving to those who already have: they tended to reward the more competent and more privileged. AI, however, seems more often to have an equalizing effect once a threshold of access and education is crossed. Some anecdotal insights point in this direction, for example, how an unemployed man in Leipzig successfully defended himself in court in 2025 against fraud accusations from Germany’s federal employment agency — without a lawyer, armed only with ChatGPT. The AI made mistakes and cited invented court rulings, but in the end the man walked away unpunished. And a key capability of artificial intelligence is its capacity to learn: set up correctly and fed with data, it can keep getting better. It is a question of time, or more precisely of AI innovations and training data, until even free AI chatbots write better legal briefs than law graduates with perfect exam scores. Whether that will make anyone dumb is something the world’s press will surely inform us of in due time. Subscribe Leave a comment
Flutter Entertainment (FLUT) Back In Focus As Jefferies Sees An Inflection Point In Valuation
Flutter Entertainment (NYSE:FLUT) is back in focus after Jefferies suggested the company may be nearing an inflection point as concerns about prediction markets eroding online sports betting demand start to ease. See our latest analysis for Flutter Entertainment. Recent trading reflects that shift in sentiment, with Flutter Entertainment’s share price at US$109.06 and a 1 day share price return of 3.04%, adding to a 7 day share price return of 8.03%. Despite this short term momentum, the...
'Love, Simon' author Becky Albertalli announces new YA love story
Get ready for “Something Unpredictable” from the author of “Simon vs. the Homo Sapiens Agenda.”
New Health Data Unlocks Progress
AI-powered wearable health trackers are transforming healthcare by using massive datasets to predict risks, personalize insights, and empower individuals.
Zuckerberg predicts more jobs and entrepreneurship if superintelligence is widely distributed
Mark Zuckerberg pushes back against AI doom rhetoric, writing that distributed superintelligence will create more jobs and make starting businesses easier.
MLB Trade Deadline Predictions For Skubal And Other Top Targets
Let's make some predictions on where the top trade candidates will land before the Aug. 3 deadline.
44 states are aligned on one thing in their fight against prediction markets. It's about sports wagering
The letter is part of the commission’s public comment period for the first draft of its proposed rule on regulating prediction markets.
Mets' Francisco Lindor trade prediction has one major problem
There could be one huge issue with a Francisco Lindor trade.
Scientists look to shark DNA for the genetic signature of time
Aging leaves telltale marks on DNA, and for the first time, scientists have used those molecular signatures to create a model that predicts the age of sharks. This tool, known as an epigenetic clock, was developed for the zebra shark (Stegostoma tigrinum) and could soon be expanded to more species,
MLB Expert Picks & Baseball Predictions July 28
MLB expert picks and moneyline, run line, and Over/Under predictions for July 28, featuring the Reds, Red Sox, and Mets.
This value predicts future quality of life. In Australia, it’s tanking
More than 600 scientists are sounding the alarm that our standard of living is under threat.
14 toughest cuts on projected 53-man roster for Broncos
These players did not make the squad in our latest 53-man roster prediction for the Broncos.
New data suggests layoffs will affect 14,259 people by the end of 2026, up 78% from first forecast of the year
"The pace of layoffs is accelerating faster than our models initially predicted"
Season predictions: Pragmatism needed & Altena to shine
From a Hearts perspective, a third-place finish, a trip to Hampden in at least one cup competition - or even lifting a trophy - would represent a successful season. Given the reported competition Hearts faced to sign him - including interest from Union Saint-Gilloise - I'm convinced there must be something special about him.
20 Lions on the defensive roster bubble entering training camp
Our staff predicts the fate of 20 Detroit Lions players on defense who enter training camp on the bubble.
Sports betting industry spending on US midterm elections surpasses $72 million
DraftKings, FanDuel and other online sports betting companies have ramped up election spending on the U.S. midterms to at least $72 million so far, the latest campaign election data shows, as prediction markets like Kalshi and Polymarket bring fresh scrutiny — and competition — to online betting.
Season predictions: Top-six achievable & progress expected
If Jim Goodwin can effectively solve the defensive issues of last season then the top six simply has to be the target, and it feels achievable. Going out on a limb here, I'll say that Idjessie Metsoko will be our best signing. First season back up Goodwin had us finishing in fourth.
Turning AI Plant Science Into a Commercial Tool: Heritable Agriculture’s Next Chapter
Heritable says its platform can match plant genetics to geography with 10-meter field-level accuracy, helping users predict how varieties of nearly any crop could perform in specific locations around the world.
When it comes to predicting the future, why are TV writers better than politicians?
From BBC drama The Rapture on the climate crisis to Apple’s Criminal Record on the rise of the far right, culture often sees what politics fails to, writes Zoe Williams
MLB Predictions and Moneyline Picks for Monday, July 27
Monday, July 27th moneyline leans and insights from Colby Marchio. Check out the underdogs he's backing this evening!
Bengals 53-man roster prediction: Training camp begins
Training camp is finally arriving for the Cincinnati Bengals! How will the 53-man roster shape out over the next month?
BLOOMBERG: Sports Apparel Company Fanatics Inks BGC Deal for Prediction Markets Expansion
Fanatics struck a deal to buy a federally regulated derivatives exchange and clearinghouse from BGC Group Inc., as the sports-apparel company and broker-dealer seek to partner on prediction markets for retail and institutional investors.
Browns 53-man roster projection: 2026 pre-training camp prediction
The Browns are about to get training camp up and running. That allows for a guess on their initial 53-man roster.
ESPN super computer predicts every Texas Longhorns game in 2026
The Longhorns have one of the toughest schedules in the nation. But the ESPN FPI computers are very bullish on Texas.
AI wearable watches you to predict what you need
The iKairos AI wearable features an inward-facing camera and voice detection to anticipate your needs, raising significant privacy questions.
Where will the Lions’ offense rank in 2026?
Predicting where the Detroit Lions’ offense will rank for the 2026 NFL season.
Colts Get Unkind Over/Under Prediction
National believers in the 2026 Indianapolis Colts are hard to come by this summer.
Bills Face Dire Prediction on Josh Allen’s Future in Buffalo
Buffalo Bills quarterback Josh Allen may need to leave Buffalo for a shot at winning a Super Bowl, an NFL analyst suggested. The post Bills Face Dire Prediction on Josh Allen’s Future in Buffalo appeared first on HEAVY.
Sony Reon Pocket Pro Plus Air Conditioner Arrives In U.S. To Beat Summer Heatwaves
As another heat dome is predicted in the U.S., Sony’s wearable air conditioner has just arrived. Here’s all you need to know.
Three Florida Gators Predicted To Land on All-SEC Team
The Florida Gators have three players predicted to be named to the All-SEC Team.
Yankees predicted to make five trades by MLB deadline to upgrade four positions
This five-trade prediction for the Yankees is a very interesting one.
Predicting the Browns 53-man roster as training camp opens
The Cleveland Browns have opened training camp, predicting their initial 53-man roster with some tough decisions
Wisconsin given expert prediction to land 2028 offensive lineman
The Wisconsin Badgers recently received an expert prediction to land class of 2028 offensive lineman Brock Barrows.
New York Yankees Insider Delivers Harsh Prediction for Jasson Domínguez
The New York Yankees are expected to make a few splashes at the MLB trade deadline.However, it’s unclear which routes the ballclub will take. Adding to the chaos are a few struggling hitters who could find their way out the door.One insider has now revealed a harsh prediction for Yankees’ Jasson Domínguez.Yankees’ Insider Doesn’t Mince […] The post New York Yankees Insider Delivers Harsh Prediction for Jasson Domínguez appeared first on HEAVY.
Green Bay Packers Predicted to Have Strong 2026 Season
The Green Bay Packers should be good once again in 2026.
Kalshi demands Netflix take down trailer for ‘misleading’ prediction market documentary
The prediction market Kalshi threatened legal action against Netflix on Friday, claiming a trailer for its upcoming documentary about the industry contains defamatory and “fabricated” content, according to a letter obtained by CNN.
One prediction for training camp, inside linebackers edition
How much confidence do you have in the Cowboys linebackers?
Georgia football predicted to win the SEC by the media
The SEC media has predicted that the Georgia Bulldogs will win the SEC during the 2026 college football season
Sony Reon Pocket Pro Plus Air Conditioner Arrives In U.S. To Beat Summer Heatwaves
As another heat dome is predicted in the U.S., Sony’s wearable air conditioner has just arrived. Here’s all you need to know.
'Much more violent than predicted': A chunk of the universe's missing matter was powerfully hurled out of galaxies
The total amount of ordinary matter in our universe adds up to roughly one-tenth of what's expected. Now, scientists think they may have found some of it between galaxies.
One prediction for training camp, offensive line edition
Tyler Guyton is one of the most important things to watch throughout training camp.
Cowboys Predicted to Cut Ties With QB After 1 Season
The Dallas Cowboys will have a training camp battle between Joe Milton and Sam Howell for the backup QB spot. The post Cowboys Predicted to Cut Ties With QB After 1 Season appeared first on HEAVY.
The Latest Policy Issue: Sports Prediction Markets
House Agriculture Committee examines regulatory gaps in sports prediction markets. Learn how federal oversight is evolving for this booming industry.
Troubled UDFA Cowboys Rookie Predicted to Make 53-Man Roster
Bleacher Report's Gary Davenport predicts UDFA rookie tight end Michael Trigg will make the 53-man roster for the Dallas Cowboys. The post Troubled UDFA Cowboys Rookie Predicted to Make 53-Man Roster appeared first on HEAVY.
‘I got carried away’: Elon Musk expresses regret about Doge and wading into Trump’s orbit
Billionaire in interview with the Economist admits he was too consumed by politics and shares predictions about AI
When It Comes to Fusion, Materials Matter
Fusion at high temperatures powers the sun and, if harnessed, could provide a potential source of energy here on Earth. But controlling fusion reactions has other benefits. The process also generates subatomic particles called neutrons that are used in a range of applications spanning medicine, research, and national security. Now, scientists at the University of California, Davis (UC Davis), and the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have found that the materials surrounding a fusion reaction can dramatically increase how often it occurs, particularly at low energies where fusion is rare. The study was published July 18 in Nature Communications. Their approach sets up a way to study and engineer nuclear reactions within solid materials, opening a new field of “materials-driven fusion.” Instead of designing materials just to survive the harsh conditions of fusion, researchers might be able to design materials that boost the reaction in specific conditions, similar to the way catalysts speed up chemical processes. “It gives you a new knob to turn that you didn’t have before,” said Arun Persaud, head of the Fusion Science & Ion Beam Technology group in Berkeley Lab’s Accelerator Technology & Applied Physics (ATAP) Division. “If we understand this effect better, it opens the door to engineering new materials that would affect the fusion rate under certain conditions. Someday future progress might enable more compact and efficient neutron generators, which have all kinds of applications, like cargo screening, planetary science, and medical therapy and imaging.” In the experiment, researchers used two different methods to pack deuterium, a heavy form of hydrogen atoms that is often used in fusion, into thin foils of palladium and titanium. They then fired a beam of deuterium ions at the foils at different energies and measured how often fusion happened. Then they compared the rates from the different materials and methods with the “bare” fusion reaction (not in a material). The team found that fusion rates depended on how the deuterium was loaded into the metal foils. The biggest effect was at the lowest energies, below 2.5 kiloelectronvolts (keV), where theory predicts fusion rates drop off sharply. Instead, researchers found a surprising plateau: Some samples showed elevated fusion rates roughly a quintillion times higher than bare fusion reactions. (A quintillion is a 1 followed by 18 zeroes.) Researchers are not exactly sure why that’s happening, though they have some ideas and ways to test them. The electrons and defects within the material might partially shield repulsive electrostatic forces between deuterium nuclei, making it easier for them to get close together and fuse. Tuning the electronic structure, defects, and composition of materials could help make nuclear reactions happen more readily. “It comes down to better understanding the mechanism so that we can try to enhance it,” said corresponding author Jeremy Munday, a professor at UC Davis. “We’ve seen that we can increase fusion rates, but what is the limit? Can we bring it to lower temperatures or energies? There’s obviously a lot of interest and excitement about fusion, so if there’s something we can learn about the physics at these lower energy scales, maybe there’s something we can translate to other areas of nuclear science.” The team plans to explore a wider range of materials and continue probing the unexpected fusion plateau at lower energies. Their work establishes a reproducible experimental platform to study how solid materials influence nuclear reactions, creating a new area of research that links fusion science with materials science and chemistry. “The work shows conclusively that the material environment where fusion occurs at low temperatures is an active participant rather than a passive container,” said Cameron Geddes, director of ATAP. “That adds a new dimension to fusion research.” This work was funded by the U.S. Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E). ### 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.
Yu Deng Predicts the Actions of the Whole From Its Tiniest Parts
Dr. Deng, a mathematics professor at the University of Chicago, received a Fields Medal for his work on an equation describing fluid mechanics.
Cigna expands chronic care management, projects $200M savings
Cigna Healthcare is broadening its AI-enabled care management programs to reach more customers with emerging, complex and chronic health needs. The expanded approach is expected to support 20% more customers across areas including behavioral health, cancer, heart disease, kidney disease and high-risk pregnancy. The initiative combines predictive analytics with AI-enabled tools to help identify customers […]
Harnessing Abundant Electricity From the Sun—and Other CU Boulder Science Tapped for Genesis Mission
Three CU Boulder-led projects and three collaborative projects selected through the U.S. Department of Energy's Genesis Mission. Research will advance artificial intelligence for fusion energy, quantum computing, particle physics and water prediction. Awards recognize CU Boulder's leadership in applying AI to some of the nation's most complex scientific challenges.
Texans Predicted to Move on $131 Million Quarterback
This would be a major shake-up. The post Texans Predicted to Move on $131 Million Quarterback appeared first on HEAVY.
Nevada congressmen introduce bipartisan bill to ban sports betting on prediction markets
Rep. Steven Horsford (D-NV) and Rep. Mark Amodei's (R-NV) bill would also ban casino-style games on sites such as Kalshi.
Cowboys Predicted to Sign Controversial Free Agent WR
SB Nation's No. 1 prediction for the upcoming season has the Dallas Cowboys signing controversial free agent wide receiver Stefon Diggs. The post Cowboys Predicted to Sign Controversial Free Agent WR appeared first on HEAVY.
Lions Add 8-Time Pro Bowler in Bold Trade Prediction
The Detroit Lions could trade for Arizona Cardinals star safety Budda Baker, according to Jarrett Bailey of SB Nation. Bailey notes that if the Lions get off to a hot start to the season and the Cardinals start slow, the two sides could agree to terms on a deal. “After dismantling the Cardinals, the Lions […] The post Lions Add 8-Time Pro Bowler in Bold Trade Prediction appeared first on HEAVY.
'A Toxic Love Story' is the wildest true crime doc Netflix has released in years
An Anaheim love triangle is way more twisted that you could predict.
Choctaw Casinos launches free-to-play sports prediction app
Choctaw Casinos & Resorts launched Choctaw Sports, a free-to-play app for sports predictions without real-money wagering, expanding digital gaming in Oklahoma.
Predicting rushing yards from Cowboys RB Javonte Williams in 2026
How many yards do you think Javonte Williams will rush for?
2026 MLB trade deadline bold predictions: Tigers send Tarik Skubal to NL contender; Yankees, Cubs get busy
Mike Axisa uses his crystal ball to predict the biggest moves (and non-moves) before the Aug. 3 deadline
Model the Transformation You Expect Employees to Deliver
Leaders must model the transformation they expect others to deliver. Yet many leadership teams undermine their own ambitions by promoting agility, experimentation, and innovation while continuing to govern through legacy processes that reward predictability and risk avoidance. Employees notice the disconnect and follow what leaders do, not what they say. The most successful transformations occur when senior leaders personally sponsor the organization’s most uncertain initiatives, devote meaningful time to change, embrace learning, and demonstrate a willingness to change course when evidence demands it. Executives can test whether they are truly modeling the by examining how they spend their time (the calendar test), how they manage ambiguity as an executive team (the uncertainty test as a team, and whether they openly retire initiatives that no longer create value (the cancellation test).
Lab-grown mini brains may predict which Alzheimer’s treatments will work
Miniature brain models grown from patients’ cells revealed striking differences in how Alzheimer’s-related tissue responds to an antidepressant. The organoids and the particles they release could eventually guide more personalized treatments and provide new clues for diagnosing the disease.
This Lightning Storm Never Ends. Scientists Finally Figured Out Why.
Venezuela's Lake Maracaibo flashes up to nine hours a night, 160 nights a year. A new model predicts strikes three months in advance.
Flutter Entertainment Stock Falls as Rising Prediction Market Volumes Pressure Traditional Gambling
Flutter Entertainment stock drops nearly 4% as rising prediction market volumes from platforms like Kalshi pressure traditional sportsbooks.
Only 13% of patients diagnosed with lung cancer met low-dose CT screening criteria
Addressing these gaps will require more inclusive risk prediction models and system-level interventions such as EMR optimization and provider education to improve uptake.
Commanders 53-man roster prediction features tough decisions
The Commanders have some big decisions to make over the next month, so let's predict what that could look like in our latest projection.
The battle for Congress gets a Wall Street-style scoreboard powered by real-money bets
Kalshi's new Midterms Hub combines live prediction markets with polling, fundraising data and historical results to track House, Senate and governor races.
House lawmakers question sports prediction markets as tribes defend gaming authority
House lawmakers examined sports prediction markets as tribal leaders argued federally regulated event contracts threaten tribal gaming authority and consumer protections.
Tarik Skubal trade prediction has Tigers frustrating most of MLB
This Tarik Skubal prediction would frustrate many contenders around MLB.
Roundup: LNG exports / Prairieville market / GLP-1 rivalry
Predicted to double: U.S. LNG exports are expected to nearly double by 2031, becoming the country’s second-largest net export industry and contributing an estimated $1.4 trillion to the economy. The growth is driven by abundant shale gas supplies, major Gulf Coast investments and rising global demand, with LNG exports projected to support hundreds of thousands […]
When a SpaceX rocket crashes into the moon, scientists will be watching
On Aug. 5, 2026, an abandoned piece of space junk is predicted to crash into the moon near a spot called Einstein Crater. Astronomers will be watching because the collision and aftermath may be visible ...
Football Prediction Splits Into Four Distinct Business Models
A new 2x2 of the football prediction market shows four well-capitalized categories fighting over money on the outcome, and one mostly empty quadrant where a newly launched app currently stands alone.
College football’s best QBs for 2026, plus poll results
The Pulse Newsletter 📣 | This is The Athletic’s daily sports newsletter. Sign up here to receive The Pulse directly in your inbox. Good morning! Don’t spy on anyone today. Coming up: 🏈 CFB QB tiers 📺 Clark out at ESPN 🗳️ Your poll results As one football leaves us, the next one settles in right on time. The World Cup is in the past now. American football is nigh. It’s time to switch our focus. At least until later in this newsletter. We’ve entered one of my favorite parts of the college football preseason: when predictions feel a little more weighty, just...
SEC predicted order of finish for 2026 season
Sooners Wire predict the SEC order of finish for the 2026 football season.
Bernstein's Ian Moore on why prediction markets are outpacing sports books
Ian Moore, Bernstein, joins 'Closing Bell Overtime' to talk prediction markets outpacing sportsbooks during the World Cup and what's ahead for predictions markets and sports betting.
One prediction for Cowboys training camp, DL edition
This is the year of Donovan Ezeiruaku.
NFL fans predict the NFC division winners
NFL fans pick the winners of each division in the NFC
Weight around the belly is a better predictor of heart health than BMI, research indicates
Individuals with overweight or obesity can have a higher risk of heart disease despite appearing to be healthy, new research presented at the International Congress on Obesity in Mexico City (15–17 July) ...
The Best Genetic Risk Tools Don’t Work Equally for Everyone
Genetic prediction models are poised to revolutionize medicine. But because they have been trained on European DNA, they threaten to widen health care disparities.