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Healthcare powers Democrats’ midterm rout: 4 takeaways
Voters sent a strong rebuke of the GOP health agenda on Tuesday night as Democrats took control of both chambers of Congress, rejecting Republicans who pushed sweeping healthcare cuts. Here are f…
When papers become currency: a Chinese debate about trust in science
Last Saturday, 31 October, I went to the University of Hong Kong’s Beijing Centre for its Talent Forum. It was the fourth stop in the series this year, following events in Shanghai’s Zhangjiang, Shenzhen’s Qianhai, and on HKU’s main campus. The programme covered a remarkable distance in one afternoon. HKU’s Xiao-Jing Wang discussed computational neuroscience, intelligence, and the prefrontal cortex—before even delivering his inaugural public lecture to students back in Hong Kong. His colleague Bing Zhang took us from the Big Bang to artificial intelligence. Tsinghua’s Xue Lan asked how AI might reshape the institutional infrastructure underpinning higher education. There were lively panels featuring industry leaders from JD.com, Xiaomi, Haier—and Kaiser Y Kuo on the closing panel discussing innovation and international connections. I cannot pretend to have followed every detail of the brain models or the astrophysics. The talk that stayed with me was closer to something we have covered before: Zhou Zhonghe 周忠和 on papers, evaluation, and scientific trust. Zhou is a palaeontologist, an Academician of the Chinese Academy of Sciences, and an international member of the US National Academy of Sciences. He is also editor-in-chief of The Intellectual (知识分子), China’s leading science commentary platform. His subject was uncomfortable enough for a room full of successful academics: what happens when the system for recognising good science starts rewarding something else? Part of my interest came from our sister newsletter, The East is Read, which covered the controversy around “Geng Tongxue” in May. A PhD dropout from Beihang University, Geng has publicly challenged papers by prominent researchers through detailed online allegations of manipulated images and fabricated data. At Tongji University, an investigation into a challenged Nature paper found academic misconduct, and the dean of its life sciences school was removed. The affair brought doubts about academic integrity well beyond laboratories and university committees. How could someone outside the established hierarchy spot problems in papers that had passed through prestigious journals and institutions? And what, exactly, had all that prestige guaranteed? Zhou approached these questions through two essays published in July by The Intellectual: one by Wang Xiaodong, director of the National Institute of Biological Sciences, Beijing, and a response by Wang Liming, of Shanghai’s Shangsi Institute of Natural Sciences. Both began with the controversy over Geng. Their arguments deserve a wider audience, so I want to put parts of them alongside what Zhou said on Saturday. Wang Xiaodong’s starting point is evolution. A research system selects for the behaviour it rewards. Grants, jobs, journals, talent programmes, and prizes collectively determine which scientists prosper and which practices get passed down from advisors to students. “Whatever the system rewards is what it will evolve to produce,” he writes, citing the ancient Chinese saying: The King of Chu loved slender waists, and many in the palace starved to death. That is a more demanding diagnosis than saying there are dishonest people in science. Punishing a fraudster does not change the selective environment that made a particular kind of research profitable. His account also gives scientific success an awkward role in the story. As Zhou put it on Saturday, science became a victim of its own success. Once research became central to industry, national power, and economic growth, universities and laboratories expanded, and public money followed. That created an administrative need for rapid decisions: who should get the next grant, the next laboratory, the next appointment? The difficulty is that the true value of a discovery may take years or decades of testing and building to become clear. Resource allocation cannot wait that long. Publication counts, journal prestige, impact factors, and citations therefore become convenient ways to make an instant judgement. “The real problem is not that these indicators have no value,” Wang Xiaodong writes, “but that they are trying to answer a question that only time can answer.” Telling administrators simply to stop counting papers will never be enough. They still have budgets to distribute and appointments to make. Something has to replace the shortcut. Zhou described the consequences inside publishing. Papers acquire ever more requirements: a complete story, polished presentation, extensive datasets, and accessibility to readers beyond the immediate field. Individually, those demands sound reasonable. Together, he warned, they produce formulaic “eight-legged” papers 八股文 and rigid reviewing, while genuinely original or non-consensus work struggles to get past journal editors—some of whom wield immense gatekeeping power despite having limited laboratory experience themselves. Meanwhile, the demands for sprawling, “complete” narratives have fuelled a wider replication crisis. Wang Xiaodong uses a mahjong metaphor to describe the result: put the complex papers published by the exact same lab over several years side by side, and they often look like “Thirteen Orphans” (十三不靠)—every tile completely unrelated to the next, and none of them reproducible by outsiders. Zhou also spoke frankly as an editor who has trouble finding reviewers. Everyone wants someone else to review their work; qualified senior researchers have little time to return the favour. The labour is anonymous, unpaid, and brings almost no institutional recognition, so it increasingly gets passed down to postdocs and graduate students. And while anonymity protects reviewers from rank and personal favours, hyper-specialisation means an author’s most qualified reviewer is often a direct competitor, shielded from accountability. The protection and the problem coexist. Wang Liming takes the argument a step further. The decisive change, in his essay, is the instant conversion of academic honour into material resources. Once a paper can be cashed in for funding, a job, students, commercial investment, or even a company valuation, scientists are alienated from their work: they must keep minting this “research currency” to keep their teams alive. He is careful not to romanticise the past. The old world of gentleman scientists—financially independent figures like Boyle and Darwin who needed nothing from external funders—was also a closed club that excluded people without inherited wealth, women, and much of humanity outside the West. Professional science allowed ordinary people, himself included, to become researchers. Nobody should want to undo that. The problem, in his account, is an exchange system that becomes too uniform and too difficult to correct. His most pointed Chinese example is the “hat” (帽子): the prestigious talent designation that brings continuing access to money, laboratory space, students, and institutional influence. “If papers are the circulating currency of the research system, then a ‘hat’ is a bond that pays interest over the long term,” he writes. A paper at least requires another round of peer review. A title in the Chinese context can lock in a judgement made years ago and turn it into permanent status rent, regardless of whether its holder is still doing good science. Here, official institutions hire, organise, and evaluate scientists. Unlike honours awarded by autonomous academic communities in the West, a Chinese “hat” blends non-scientist administrative power with state authority. Once granted, it turns a past judgement into permanent status rent that is nearly impossible to revoke—because taking a hat off would imply that official authority erred in putting it on. Both Wangs see China as experiencing, at compressed speed, pressures present across global science. Research expansion, rising investment, publication growth, and elaborate evaluation metrics arrived in China within two or three decades rather than two or three centuries. Zhou agreed with that international framing—noting that recent US White House science policy documents and the new president of the US National Academy of Sciences, a fellow palaeontologist who recently visited Zhou’s institute in Beijing, have raised strikingly similar warnings about consensus-bound peer review, short-term project grants, and the replication crisis. Still, Zhou emphasised that China’s traditional hierarchy, personal networks (guanxi), and the ethos that “a good scholar becomes an official” (学而优则仕) amplify those pressures at home. So what would change things? Here Zhou’s tone differed from the call for a revolution in scientific trust in Wang Xiaodong’s essay. As an evolutionary biologist, Zhou favoured patchwork repair (修修补补). Living systems survive through accumulated adjustments; dramatic mutations are usually fatal. Science cannot return to a small, slow-moving pastoral era, especially after the successive accelerations of professionalisation after the Second World War, the internet, and now artificial intelligence. But it can alter the local environment in which researchers work. He pointed to domestic experiments designed to support unconventional research and diversify funding, including Tencent’s New Cornerstone Investigator Program, the Xplorer Prize, and the Future Science Prize. He also mentioned participating in reviews for “major non-consensus projects” under the National Natural Science Foundation of China. One guiding principle he recalled was wonderfully direct: “Failure is allowed; corruption is not” (允许失败，不允许腐败). That distinction would mean quite a lot if taken seriously. An honest attempt that fails should not have to disguise itself as a success to survive an assessment. Wang Liming’s essay adds a sharp caveat to the optimism about new domestic funders. Multiple organisations do not automatically produce multiple ways of judging science. If the same pool of senior domestic scientists makes the decisions through the same two-round review procedures, it is still “fake diversity.” He argues for three distinct kinds of money: broad baseline funding governed by fair procedures; patient funding for questions that take ten years; and non-consensus funding based on individual taste, deliberately empowering a few genuine experts to make biased, contrarian bets on eccentric ideas that would inevitably be averaged out by a committee. Replacing one monopoly with another achieves little; a healthy ecosystem needs variance. Zhou’s proposals for publishing were similarly concrete: strip papers of their resource-allocation burden and return them to recording discoveries and establishing priority; separate dissemination from evaluation, as eLife and Peer Community In do; adopt more modular “micro-publications” and real-name endorsements; recognize the labour of editors and reviewers; and give replication work proper credit rather than treating it as an unpublishable dead end. AI makes every part of this debate more urgent—and Zhou wove it throughout his talk. In his own preparation, he used AI to survey the declining influence of academic monographs, noting how tools are already changing how scholars gather information. More fundamentally, he placed AI as the latest great acceleration in scientific history: just as the internet sped up the pace of research and tightened external resource pressures, AI is compressing the cycle again. In the essays Zhou cited, AI cuts both ways. Wang Xiaodong expects large language models to erase much of the English-writing disadvantage long faced by Chinese scientists, further swelling the flood of papers coming out of Chinese labs. Wang Liming sees AI accelerating both ends of the trust crisis: it lowers the cost of paper mills and fabricated images just as quickly as it lowers the cost of automated image forensics, data auditing, and code reproduction. “Whoever builds the verification layer wins,” Wang Liming writes. His proposed alternative to the static, packaged “story paper” is a continuously versioned “unit of discovery” containing a falsifiable claim, raw data, analysis code, experimental parameters, and an ongoing log of independent checks—where negative results and failed replications are recorded rather than buried. Zhou ended his keynote by bringing AI back to the question of scientific honour and credit. Citing a recent Intellectual discussion on “What AI Means for Mathematics” featuring Fields Medalist Deng Yu 邓煜—at a moment when AI is already batch-solving mathematical conjectures, as HKU Vice-President Lin Chen noted in his opening remarks—Zhou agreed that human researchers must remain the principal agents: AI is a tool that frees scientists from tedious calculation to think about deeper, messier real-world problems. Yet that partnership creates a thorny new evaluation problem. When a breakthrough is made with AI, what is the human contribution and what is the machine’s? And since AI models distil centuries of accumulated human scholarship, is it right that the credit and value flow so heavily to the private AI companies building the tools? The old struggle over how to assign scientific honour is acquiring a whole new layer. What I took away was a serious discussion of how science can remain trustworthy as its scale, incentives, and tools change. These were scientists with real standing inside China’s system questioning how that standing is produced, and proposing changes that would affect their own institutions and peers. That made the afternoon at HKU’s Beijing Centre worthwhile. At the close, Wang Feng, Director of Communications and Public Affairs at HKU, said the value of the forum series—which heads to Hangzhou in December and cities like Chengdu early next year—would lie in the real cooperation it helped bring about. The university has plenty to celebrate: this week it topped the QS Asia rankings for a second consecutive year, alongside its 11th-place position in the QS World University Rankings 2027. For me, bringing this debate to an audience beyond the people who review papers and allocate grants was a useful contribution. Share [ The East is Read PhD dropout’s exposé forces an academic fraud reckoning in China A former doctoral student turned blogger has shaken China’s academic establishment by publicly accusing prominent university scholars of fabricating data and manipulating papers, triggering investigations at several leading institutions and drawing rare attention from state media… Read more 5 months ago · 43 likes · 8 comments · Yuxuan JIA ](https://www.eastisread.com/p/phd-dropouts-expose-forces-an-academic?utm_source=substack&utm_campaign=post_embed&utm_medium=web&embedding_publication_id=47580)
Celsius creates new business structure to accelerate energy drink growth
The company is creating dedicated divisions for Alani Nu, Rockstar Energy and its namesake brand as it faces calls from an activist investor to change leadership.
Bakery celebrates more than four decades in business
The family has not shied away from adversity.
What 49ers’ Kyle Shanahan said most recently about Brandon Aiyuk
The San Francisco 49ers are currently preparing for their upcoming matchup on Sunday against the Las Vegas Raiders. The team has gotten off to a great start this year despite playing without Brandon Aiyuk , who has been away from the team but reportedly may show up to practice on Friday, per ESPN’s Adam Schefter. Now, 49ers head coach Kyle Shanahan […] The post What 49ers’ Kyle Shanahan said most recently about Brandon Aiyuk appeared first on ClutchPoints.
‘It Changed Science Fiction’: Hunter Schafer on Her Fave Sci-Fi Film
OK, we’ll give you three guesses as to what “Blade Runner 2099” star Hunter Schafer’s favorite sci-fi film is. Schafer plays Cora, a human pretending to be a replicant in order to survive, in the upcoming miniseries. Speaking at WIRED World Fair in Miami, Schafer said the action scenes were “really physically demanding.”
Dave Portnoy Roasts CFP Chair Over Wild Rankings
Dave Portnoy mocks CFP Chair Hunter Yurachek after Alabama ranks above Tennessee despite a head-to-head loss. Fans call the logic dead.
Urbanowski: The arts are more than entertainment — they are essential to community health
November is Arts & Health Month, which was created to celebrate and increase momentum for the growing field of arts and health around the world.
Urbanowski: The arts are more than entertainment — they are essential to community health
November is Arts & Health Month, which was created to celebrate and increase momentum for the growing field of arts and health around the world.
Brandon Aiyuk’s NFL Reinstatement Bid Could Force 49ers’ Hand
San Francisco may soon have to decide the receiver’s future.
Prepping for business at The Honey Baked Ham Company
The Honey Baked Ham Company has options to help you prepare for holiday gatherings.
Bean Life Science Museum hosted its annual free Halloween Family Night for students and families
The Bean Life Science Museum hosted its annual Halloween Family Night on Oct. 26, offering families a free evening of hands-on activities, crafts, and opportunities to explore the natural world.
November is Arts & Health Month
Nevada County Arts & Culture celebrates Arts & Health Month in November, highlighting creative programs and events that showcase the healing power of the arts.
Brandon Aiyuk reporting to 49ers
San Francisco 49ers WR Brandon Aiyuk has submitted paperwork to be reinstated, his agent Drew Rosenhaus said.
49ers Get Strong Message After Brandon Aiyuk Hires Drew Rosenhaus
After being away from the news cycle for a few months, San Francisco 49ers wideout Brandon Aiyuk is back after he hired Drew Rosenhaus to represent him. As a result, Aiyuk looks ready to return to playing football, but will that be with the Niners?Aiyuk will need to apply for reinstatement, given that he’s on […] The post 49ers Get Strong Message After Brandon Aiyuk Hires Drew Rosenhaus appeared first on HEAVY.
A ‘bloodbath.’ Georgia Democrats sweep statewide offices in historic political upheaval
A Democratic wave ended decades of GOP dominance in Georgia and threatened the GOP's grip on the state Legislature.
Unbeaten Utah Hosts BYU In A Holy War That Could Shape The Big 12 Title Race
The final month of the college football season in the Big 12 will shake loose a tight race and determine the teams that will play in the championship game.
The Last Disney+ Original?
(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.) Before we get going, I wanted to remind readers about how I plan to keep your trust while I add advertising to this newsletter. As you’ve no doubt noticed, I’m running ads now, but the danger is that it could impact my analysis and writing. I have a list of sponsors on my About Page, so if you think I’m biased, you can check out who’s sponsored this newsletter! This is something that I’m not sure anyone else in digital media does (if you’re a writer or media outlet and you do this, let me know and I’ll shout you out!) but it’s something I’d love to see embraced by the entire industry. Sunlight, i.e. transparency, is often the best disinfectant. Okay, on to this week’s issue. We (finally) have another major Disney+ TV show to talk about, so that’s my main focus for today. Plus, we had a lot of new shows come out, including the fourth seasons of The Diplomat and Tulsa King! And Love is Blind! The Lowdown! Also, four (four!) straight-to-streaming films came out this week, featuring a lot of big names and celebrities, so I’m going to look at those. All that, mixed news for the WNBA, Reacher ends its run on the charts, Skydance does well in September viewership, NYU’s Sundance dominance, all the flops, bombs and misses, and a whole lot more. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, 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 October 12th to October 18th, 2026. You can find a link to my terminology here.) Subscribe Television - Disney+’s Porridge Problem Listen, per my headline, VisionQuest isn’t the last Disney+ Original. At least, I’m pretty sure it’s not. They have other MCU shows in development. Well, maybe one: But it sure feels like the end of an era. I’d call it their “porridge too hot” era, to quote myself from The Ringer. I told Ben Lindbergh that Disney+ seemingly couldn’t figure out the right amount of content. In the heights of the Streaming Bubble Era (circa 2019 to 2022), they started releasing an insane amount of TV shows. After their growth slowed, they’re down to two or three shows a year, and that might be down to 1 by 2027. Here’s my TV shows by year chart: Even at the time, I thought Disney was making too many shows (that cost too much). Today? They’re definitely making too few shows (though the budgets are more in check, at least according to the reporting). Porridge too hot, porridge too cold; too many shows, now not enough. Which makes evaluating VisionQuest so interesting. This show didn’t have a great lead-in, whether it be a Marvel Cinematic Universe film (the last non-Sony-produced-Spider-Man flick came out The Fantastic Four from July of 2025) or Marvel Cinematic Universe TV show (the two this year were Wonder Man back in January and _Daredevil: Born Again_in May, both of which underwhelmed). And so far, VisionQuest hasn’t quite recaptured the MCU Originals glory, but it has some signs of sparks. First, it made Samba TV, though at a lowly ninth place. At least it made it, a feat some other Marvel shows didn’t accomplish. (Ironheart landed on the Samba TV charts one week at tenth place, but Wonder Man and Daredevil: Born Again both missed.) VisionQuest also made Luminate, though with only 3.0 and 7.6 million hours. But it missed Nielsen in its first week. The best news might be its 7.8 on IMDb, on 12K reviews so far, great numbers, even for a superhero show. Looking at those numbers, this show will really need to pick up in future weeks—and it may since it’s coming out weekly—or Disney will have another disappointment on its hands. Disney+ binge-released their last few shows to try to boost numbers, but that meant shows like Iron Heart and Wonder Man didn’t last long on the charts. _Daredevil: Born Again’s_last season missed entirely (though it came out weekly). Here’s the Disney+ Originals by totals: And for a fun new look, here are those same shows, rearranged by the years they came out: That really shows that, in addition to Disney+ releasing fewer shows, those shows just don’t hit like they once did. If I had to offer one main explanation, it’s that Marvel Studios moved away from characters who starred in the Avengersmovies (The Scarlett Witch, Vision, Hawkeye, Loki, Falcon, Winter Soldier) to characters who didn’t (Moon Knight, She-Hulk, Iron Heart, Wonder Man, Daredevil). It sounds trite, but more popular IP tends to do better than less popular IP. In Marvel’s case, beloved, decades-old characters trump newer ones. And yes, I think this is a problem for Disney. The failure of Marvel TV shows to linger for weeks on the charts, unlike in 2021 and 2022, explains why Disney’s share of the charts has plummeted: That’s a strategic issue. Yes, these shows are really expensive, but without them, Disney+ will struggle, especially if Disney+ keeps raising prices AND licenses out its shows non-exclusively. My recommendation? Return to the core value proposition, which is Disney+ as “genre HBO”. The goal is six shows a year, coming out weekly, spaced out throughout the year. When a show hits, keep it coming back. Make three to four of those shows Marvel or Star Wars, and fill out the rest with IP swings like Percy Jackson, Goosebumps or something like National Treasure. And make YA-skewing shows like Coven Academy to fill out the schedule. Disney, you can get this porridge just right, er, make the right number of shows. Quick Notes on TV Netflix’s sophomore, er, junior, er, senior season slump abated very, very slightly this week. I speak of The Diplomat, which returned for its fourth season on 15-Oct. Credit where credit is due, this show debuted in April of 2023, and has put out new seasons every year since. Has that helped the viewership? Not really. This season opened to 16.4 million hours, which is down significantly from the first season (21.7 million hours) and down somewhat from the second season (18.0 million hours), but it is up from last year’s 14.2 million hours opening. On Samba TV, it opened to third place; that’s also very good. On Luminate, it opened to 25.0 million hours, which is good, but over thirty million hours is a hit on that platform. Netflix wisely renewed it, since it’s steady and, frankly, Netflix needs hits.1 Paramount+ put out Tulsa King’s fourth season on a Friday. After putting out most of their big, usually-Taylor Sheridan-scripted shows out on Sundays last year, they’ve clearly moved to Fridays going forward. Was this a thought-out strategic change, Netflix mimicry, or a data-inspired move? Tough to say. Fridays are crowded with new movies, but so are Sundays with new shows. Anyways, this one is coming out weekly, and we haven’t seen it hit the Nielsen or Luminate charts yet. But it did make Samba TV at fifth place, which is a good opening. Still, if this doesn’t make Luminate or Nielsen next week, I’d call it a disappointment. Netflix had two unscripted shows hit the charts this week, one a docu-series and one a reality competition show. Tyson is a four-episode docu-series about one of boxing’s most popular fighters, and it made both the Samba TV and Luminate charts, but not Nielsen. That’s a solid run for only four episodes (assuming it didn’t cost an arm and a leg to produce). Netflix’s latest season of Love Is Blind also returned for its eleventh season, which opened to 10.0 million hours, down from previous seasons. It also had 11.0 million hours according to Luminate, roughly in line with the Nielsen numbers. Last issue, I analyzed the triple successes of Below, Carrie and Crystal Lake, noting that all three have done well. I mostly used Nielsen, but all three shows also made Samba TV (see above). Crystal Lake in particular did very well on Luminate, getting 35.0 million hours, top for Peacock among first seasons: The top “show” of the week would have been Thursday Night Football again, at 41.7 million hours. This is still above last year’s game, but it continues the season’s overall downward trend, which happens every year. (Though a big week is coming, based on the news stories I’ve seen.) As I said before, I’ll do a deeper dive on all the October games later this month, with comparisons to previous years. One company is quietly on a roll, when you consider the shows it makes and streams. I speak of Skydance—a point Variety made—noting that it produces Neagley and Reacher for Amazon, along with Paramount+’s Lioness, which means it produced three of the top four shows of September according to Nielsen. By the way, Neagley fell off the Nielsen charts after four weeks, which is a pinch short for how well it started, but it’s still a huge success. (Interestingly, it finished just 7.3 million hours ahead of the cancelled Ride or Die.) The point, though, which I’ve made before, is that Prime Video still has a problem with how many co-productions it buys, most notably _The Boys_from Sony and Reacher/Jack Ryan from Skydance. It’s not a critical flaw—everyone licenses shows—but Amazon still struggles to make its own hits. Reacher finally fell off the Nielsen charts, so here’s its final rank for season four: 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… ...An example of the algorithm NOT picking a film… …whether or not Netflix buys shows simply for the movie poster… ...if East of Eden is above the Obliterated Line... ...what four star-studded straight-to-streaming films didn’t chart... ...and a whole lot 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.
2026 Marks Highest Stakes Holy War Ever
BYU and Utah are set to play the 98th edition of the famous “Holy War” on the gridiron. If you’re reading this, I don’t need to tell you that this is one of the most intense (toxic?) rivalries in all of sports. BYU has won three in a row and Utah has not won a […]
Forced Labor Goes to the International Trade Commission: The Nekkanti Shrimp Case
A new case before the International Trade Commission seeks to block shrimp imports from Indian producer Nekkanti Sea Foods, arguing its use of forced labor is unfair competition and naming the grocery chains that operate Aldi, Food Lion, Giant, Hannaford, and Stop & Shop as downstream sellers.
Seasonal Health Reminder
As we enter the colder months, seasonal illnesses such as influenza, pertussis (whooping cough), strep throat, and other common viruses tend to become more prevalent. We want to take this opportunity to share a few reminders to help keep our students, staff, and school community healthy.
The Magnusson Lab: Amplifying Women's Voices in Public Health
In the Magnusson Lab, students aim to improve healthcare experiences for women through their research on sexual and reproductive health.
The Magnusson Lab: Amplifying Women's Voices in Public Health
In the Magnusson Lab, students aim to improve healthcare experiences for women through their research on sexual and reproductive health.
Vodafone Business Joins NYU WIRELESS as the Research Center Expands its Work on Network Resilience
Vodafone Business has joined NYU WIRELESS, the research center at the NYU Tandon School of Engineering, as an industrial affiliate, in a partnership that will connect NYU’s Brooklyn and London locations with the UK’s largest mobile operator.
Cosmic rays could scar the heart, raising risks for Mars-bound astronauts, rat study hints
Rats that were exposed to radiation similar to what Mars-bound astronauts might face showed higher levels of scar tissue in their hearts, indicating they were more vulnerable to heart failure.
The early clues that will tell us who won the midterms
American politics may be unpredictable, but election nights tend to follow a pattern.
Kids’ health questions? Check out these 8 doctor-approved resources
JAMA Patient Pages offer parents easy-to-understand updates on concussions, autism screening, chest pain in kids, bug repellents and more.
Parts of business jet may have broken off midair before Florida crash that killed 9, investigators say
Video recorded by passersby captured the Bahamas-bound Learjet’s rapid nosedive before it exploded southwest of West Palm Beach.
Brandon Aiyuk hires Drew Rosenhaus in attempt to get wideout 'back to work and playing again in the NFL'
BYU–Hawaii Student Writes Novel Promoting Mental Health Awareness in the Philippines
English and psychology senior Yvenna Laine Pomarejo says that storytelling is more than a way to imagine a better world; it is a way to help understand the world we live in. Inspired by her Filipino culture and desire to raise mental health awareness, Pomarejo turned to writing a young adult novel.
Beloved actress, 77, says acting career is ‘coming to an end’
Jessica Lange, 77, says she feels her acting career may be nearing its end after more than 50 years in Hollywood.
Battle with Mimikyu in the Play! Pokémon Pokémon GO Championship Series
The Play! Pokémon Pokémon GO Championship Series removes Mimikyu from its banned Pokémon list.
Best Early Black Friday Deals on Apple Products Available Now
We're officially in the month of Black Friday, which will take place on Friday, November 27 in 2026. As always, this will be the best time of the year to shop for great deals, including popular Apple products like AirPods, iPad, Apple Watch, and more. Note: MacRumors is an affiliate partner with some of these vendors. When you click a link and make a purchase, we may receive a small payment, which helps us keep the site running.
Science Behind the Forecast: How a little cumulus cloud can be become a big thunderstorm
Every week WAVE 3 meteorologist Tawana Andrew breaks down what we know and what we don't about the climate and weather here in Louisville.
How to watch no. 25 BYU Basketball vs. Ohio State
Cougar Fans, it’s time! BYU Basketball is upon us. They’ll open play against the Ohio State Buckeyes on Monday night at the Delta Center in Salt Lake City. BYU won both of its exhibition games, first against Nebraska, then on Oct. 24 against UNLV, with the final score being 89-77. Last year, BYU had a […]
Where is the cast of ‘Arrested Development’ now? Inside the stars’ lives 23 years later
‘Arrested Development’ became a cult comedy classic and helped launch the careers of Jason Bateman, Michael Cera, and Will Arnett. Catch up with the cast on the 23rd anniversary of the premiere.
BYU Football Moves up in Latest AP Top 25 Poll
After stifling Arizona State, the seventh-ranked Cougars prepare for a Holy War clash against unbeaten Utah, aiming to snap the nation’s longest winning streak this Saturday.
How Salt Lake City’s air quality impacts the health of its residents
With winter around the corner, Salt Lake City once again prepares for its notorious inversion season. Inversions happen when cold air is trapped under warmer air above it, affecting the health and quality of life of everyone in the valley. Cheryl Pirozzi, a pulmonary medicine specialist and clinical professor in the Department of Internal Medicine at...
Lawsuits say rural Alaska voting sites failed to open before Election Day
A hearing in the Midnight Sun case is scheduled for Monday.
Apple's HomeView Ships With Six-Month-Old Software
It is well known that Apple's new HomeView smart home hub was significantly delayed, and there is now yet another piece of evidence: the device will initially ship with six-month-old HomeView software version 26.5, according to AppleDB. When setting up the HomeView, users will be prompted to update to HomeView software version 27.2. When setting up the HomeView, users will be prompted to update to HomeView software version 27.2.
BYU Opens as Underdog at Utah
In what should be a top 10 matchup, BYU is an early road underdog to Utah on Saturday. After opening as a 3-point underdog, BYU is now a 4.5-point underdog to the Utes as of this publishing. BYU is 7-1 on the season while Utah is 8-0 and is riding the longest winning streak in […]
BYU, Utah take care of business, setting stage for huge rivalry showdown
The Utes rolled past the Bearcats on the road, while the Cougars held on against the pesky Sun Devils
Cayuga Nation Hosts Seneca County Chamber Business After Hours Event
Over 50 guests from four Finger Lakes chambers gathered October 21 at the Cayuga Nation Community Center in Seneca Falls, exploring Nation businesses.
Big 12 admits that it incorrectly gave No. 8 BYU a first-quarter touchdown in win over Arizona State
Yacht brokerage expands into Vermilion
New business brings 25 years of experience
BYU takes care of business! Catch all the biggest moments from BYU's win over Arizona State
BYU takes care of business! Catch all the biggest moments from BYU's win over Arizona State
Ruiling Yuan: Health Policy Matters in Advancing Cancer Care
Ruiling Yuan: Health Policy Matters in Advancing Cancer Care / advocacy, American Society of Clinical Oncology, Anjali Sibley, ASCO, ASCO Health Policy CoP,
BBB warns that scams like Mobile’s $14.7 million loss are pervasive
BBB of Central and South Alabama says a local business nearly lost six figures in a similar attack.
Husband’s ex won’t let my teen stepdaughter see me while he’s away
Can the letter writer show up for her stepdaughter without “making it worse” with her mom?
How to watch no. 8 BYU Football vs. Arizona State
Happy Halloween! BYU Football surely hopes it’s all treats, no tricks against the visiting Sun Devils of Arizona State on Saturday afternoon The BYU Cougars played last on Oct. 24 at UCF, suffering their first loss of the season. The game in Orlando went in to double overtime with BYU falling short by a final […]
Suk Hyun: Science Introduces a New Approach to Protein Degradation
Suk Hyun: Science Introduces a New Approach to Protein Degradation / Andrew G. Manford, Baris Bingol, BD2, BEX Protein, Caitlyn Miller, cancer, Christine L.
HomeView Software 27.2: Wallpapers, Control Center, and More
Apple today released HomeView Software 27.2, which is the software that runs on the upcoming HomeView device set to launch on November 13. The HomeView was announced earlier in October, but the early software release gives us a look at features like wallpapers and reveals a few tidbits we didn't previously know. Wallpapers There are 20 default wallpapers to choose from on HomeView, with a range of colors. Users will also likely be able to set their own photo wallpaper.
The Harvard Crimson (@theharvardcrimson)
49 likes, 0 comments - theharvardcrimson on October 30, 2026: "From @fmcrimson: At 7 p.m. on April 11, 2014, a panel of six sat onstage behind a long table at the University of Massachusetts Amherst, preparing to speak. They arranged their notes on the wrinkled plastic tablecloth. The panelists weren’t there to discuss their academic work. Rather, they were speaking about their time as members of the Vietnam-era movement Science for the People, a radical organization who believed science had been misused by capitalist interests. Allen S. Weinrub, who co-founded Science for the People in 1969, sat on the far end of the table. He wore a button with the organization’s emblem: a red fist beside a hand grasping an Erlenmeyer flask. The organization was part of the anti-war movement in the 1960s. Early members of Science for the People were protesting the use of sciences like chemistry and physics to develop weapons — but increasingly critiqued science as a reflection of power imbalances in capitalist society. Full story linked in bio. 🖋️: Sophie Gao 📷: Dawn Chen, Courtesy of Science for the People Archive and Courtesy of MIT Archives".
MIT affiliates named 2026 Schmidt Sciences AI2050 Fellows
MIT faculty members Sendhil Mullainathan, Alex Damian, Bailey Flanigan, Yunha Hwang, and Manish Raghavan, as well as two additional alumni, were recently named to the 2026 cohort of Schmidt Sciences AI2050 Fellows.
2026-2027 Audree V. Fowler Fellows in Protein Science
Graduate students Lenka Milojević (Zhou group), Akshaya Narayanasamy (Lindert group), Sarah Singleton (Conway group), and Janet Zhong (Feigon group) have been selected as 2026–27 Fowler Fellows and shared their research at a special event on Oct. 13, 2026. 2026-27 Fowler Fellows – Sarah Singleton, Lenka Milojević, Janet Zhong, and Akshaya Narayanasamy. Akshaya Narayanasamy and Prof. Steffen Lindert. Sarah Singleton and Prof. Stuart Conway. Janet Zhong and Prof. Juli Feigon. About the 2026-27 Audree Fowler Fellows in Protein Science Lenka Milojević is a fifth-year Biophysics Ph.D. candidate in the lab of Professor Z. Hong Zhou at UCLA. As an undergraduate at Maastricht University, she studied the structural basis of Mycobacterium tuberculosis virulence and amyloid-β fibril nucleation in the lab of Professor Peter Peters. She completed her bachelor’s thesis research at UCLA in the lab of Professor David Eisenberg, focusing on amyloid disaggregation, before beginning her doctoral studies. In the Zhou lab, Lenka uses cryo-electron tomography to visualize and characterize membrane-associated protein assemblies across a range of viral and cellular systems. Akshaya Narayanasamy is a fifth-year Ph.D. student in the Department of Chemistry and Biochemistry at UCLA, mentored by Professor Steffen Lindert. She earned her B.S.-M.S. in Chemistry from the Indian Institute of Science Education and Research, Thiruvananthapuram, where she worked in Professor Mahesh Hariharan’s lab investigating how single-atom substitutions influence crystal packing and charge transport behavior. She received her M.S. in Physical Chemistry from The Ohio State University before moving with the Lindert lab to UCLA. At UCLA, Akshaya develops integrative modeling methods that combine deep learning and Rosetta with experimental data, such as ion mobility mass spectrometry and cryo-EM, to improve protein structure prediction. Her current work focuses on developing an experimentally guided diffusion model and designing de novo protein binders with potential antibacterial activity. Ultimately, she aims to bridge AI-based structure prediction and experimental data to make computational protein models more reliable for drug discovery and therapeutic design. Sarah Singleton is a 4th year BMSB student, working in Professor Stuart Conway’s lab. She earned her B.S. in Biochemistry at Simmon University (Fenway, MA). Her research is centered on drugging the previously undruggable class of proteins—transcription factors. Zinc finger (ZF)-containing transcription factor proteins typically contain multiple ZF motifs, but little is known about the principles that govern the recognition of multi-ZF arrays by immunomodulatory imide drugs (IMiDs). In a multi-ZF array that contains several potentially targetable ZFs, which will be accessible and why? How does the surrounding protein architecture inform IMiD recognition? Sarah’s research aims to utilize her findings on the fundamental principles of ZF recognition to design IMiD therapeutics for transcription factors involved in health and disease. Janet Zhong is a fourth-year BMSB student, working in Professor Juli Feigon’s laboratory. She received her BSc and MRes from Imperial College London. At UCLA, Janet combines cryo-electron microscopy (cryo-EM) and biochemical approaches to investigate how proteins and RNAs assemble into ribonucleoprotein structures. Her research focuses on telomerase, the enzyme that maintains chromosome ends, with interests in its structure, assembly, and mechanisms. She has also worked on capturing the cryo-EM structure of a small bacterial non-coding RNA called raiA motif RNA. About Dr. Audree Fowler A strong supporter of the basic sciences and medicine at UCLA, alumna Dr. Audree Fowler (B.S. ’56 chemistry, Ph.D. ’63 biochemistry) established the Audree V. Fowler Fellows in Protein Science in 2008. Fowler was Director UCLA Protein Microsequencing Facility from 1984-1999 and is a Researcher Emeritus of the UCLA Department of Biological Chemistry. She is one of the first four women to receive a Ph.D. from the UCLA Department of Chemistry & Biochemistry. In 2018, the women were awarded the department’s 2018 Alumni Legacy Awards in recognition of their achievements in life, and generous support and service to UCLA. “The sciences gave me a great life. Now I want to help others have access to the same opportunities I enjoyed,” Fowler explained when she established the Fowler Fellowships endowment. Applications for the fellowships are solicited from graduate students in the Molecular Biology Interdepartmental (MBI) Ph.D. Program, Biological Chemistry, and Chemistry & Biochemistry Departments. In addition to presenting their research at a special seminar, the recipients each receive a $5,000 award. Previous Fowler Fellows from the UCLA Department of Chemistry & Biochemistry 2025-26 – Nikki Cheung (Clubb Group), Jonathan Jih (Zhou Group), Eileen Olivares (Loo Group), and Lily Taylor (Rodriguez Group) 2024-25 – Andrew Goring (Clubb lab), Eric Pang (S. Clarke and Rodriguez labs), and Miranda Villanueva (Backus lab) 2023-24 – Alexandra Turmon (Backus lab), Cindy Wang (S. Clarke and C. Clarke labs) 2022-23 – Cody Gillman (Gonen lab), Declan Evans (Houk lab), Troy Lowe (S. Clarke lab), Ashley Julio (Backus lab), and Alex Stevens (Hong Zhou lab) 2021-22 – Weixian Deng (Wohlschlegel/Plath labs), Yi Xiao “Sean” Jiang (Eisenberg lab), Maria Flores (Rodriguez lab), Carter Lantz (Loo lab), and Logan Richards (Rodriguez lab). 2020-21 – Janine Fu (Loo lab), Calina Glynn (Rodriguez lab), and Jiahui Lu (Eisenberg lab) 2019-20 – David Boyer (Eisenberg lab), Orlando Martinez (Clubb lab) and John Muroski (Loo lab) 2018-19 – Scott McConnell (Clubb lab), Kevin Murray (Eisenberg lab), Rebeccah Warmack (S. Clarke lab) 2017-18 – Michael Hughes (Eisenberg lab), Yuxi Liu (Yeates lab), Kanishk Jain (S. Clarke lab) 2016-17 – Brendan Amer (Clubb Lab) and Jeff Vinokur (Bowie Lab) 2015-16 – Henry Chan (Feigon lab), Smriti Sangwan (Eisenberg lab), Nicholas Woodall (Bowie lab) 2014-15 – Dan McNamara (Yeates lab) 2013-14 – Alex Jacobitz (Clubb lab), Alexander Patananan (S. Clarke lab), Carly Ferguson (Loo lab) 2012-13 – Letian Xie (C. Clarke lab), Anni Zhao (Eisenberg lab) 2011-12 – Timothy Anderson (Clubb lab), Soohong Kim (Weiss lab) 2010-11 – Zeynep Durer (Reiser lab), Cecilia Zurita-Lopez (S. Clarke lab) 2009-10 – Luki Goldschmidt (Eisenberg lab), Kristofer Webb (S. Clarke lab), Sheng Yin (Loo lab) 2008-09 – Nathan Joh (Bowie lab), Neil King (Yeates lab) Photos courtesy of Helen Houldsworth, the Molecular Biology Institute.
Ethics Week Lecture to explore AI, student mental health and human connection
Hee Yun Lee will weigh the benefits, risks and ethical questions of college students turning to chatbots for help.
EBONY Power 100: Hollywood's Top Behind-the-Scenes Influencers
Discover how the EBONY Power 100's trailblazers like Channing Dungey, 50 Cent & Gina Prince-Bythewood shape Hollywood with diverse stories, media empires & groundbreaking projects behind the scenes.
2027 NBA Draft Prospect Preview: BYU Cougars’ Bruce Branch III
Now that the prospects of the 2026 NBA Draft are beginning their NBA careers, it is time to take a closer look at the 2027 NBA Draft. To be sure, the talent of this coming draft doesn't compare with the number of franchise-changing players in both the 2025 and 2026 drafts. Nevertheless, 2027 still has …
Factory robot maker opens Madison Heights HQ to get closer to Detroit automakers
Ati Robotics, a maker of autonomous robotic haulers, has opened a 15,000-square-foot U.S. headquarters in Madison Heights, betting that proximity to Detroit’s automakers and suppliers will position it as a frontrunner in the future of factory innovation.
Prioritize your health during Halloweekend
Columnist Julia Acevedo argues students need to remember that while celebrating Halloween is important, their health is too.
Which Dan? Alaskans on the double Sullivan ballot for senate
The Justice Department has dramatically accelerated a criminal probe into whether Alaska Democrats sought to confuse voters by recruiting a Senate candidate intended to siphon votes from the Republican, according to people familiar with the investigation. CNN’s Kyung Lah talked to early voters.
Enterprise AI with a Consumer Funnel: What Anthropic’s S-1 Reveals About the AI IPO Era
Anthropic’s S-1 shows that its revenue model is predicated on wide consumer adoption of its products, while recognizing that the long-term effects of AI on users are not yet fully understood.
OPB Politics Now: A handful of elections could determine Oregon Democrats’ supermajority
Voters on the coast, in Southern Oregon and in the Columbia River Gorge could determine how much power Democrats will hold in Salem.
'A golden angel.' 'Chuck E. Cheese.' 'Yuck, ew.' We asked 15 kids to rate Heidi Klum's most famous Halloween costumes.
Many of these kids weren't born when Heidi Klum debuted some of her Halloween costumes. That doesn't stop them from having opinions.
Awards handed out during business appreciation lunch
Winners are voted on by members of the Hazard-Perry County Chamber of Commerce.
Drake actuarial science professor shares national award for research connecting insurers and InsurTech data
A research paper coauthored by Dr. Changyue Hu, assistant professor of actuarial science in Drake University’s Zimpleman College of Business, has received the North American Actuarial Journal (NAAJ) Annual Prize for the best paper published in 2025. The NAAJ, published by the Society of Actuaries (SOA), has honored one outstanding paper each year since 1983. ...
UCSB computer science department now offers new artificial intelligence major
For the first time, UC Santa Barbara students will be able to make artificial intelligence the focus of their undergraduate experience. As of this quarter, the UCSB computer science (CS) department has launched a new undergraduate major in artificial intelligence (AI).
Kyushu University and Cipher Core join forces to launch preventive healthcare pilot in Bangladesh
Kyushu University and Cipher Core, a Japanese information security company providing security and financial technology solutions, have signed a joint-research agreement and begun preparations for a preventive healthcare pilot in Bangladesh under the Healthy Bangladesh initiative.
NYU Langone brings OpenEvidence’s clinical AI into the EHR systemwide
OpenEvidence is expanding its footprint in New York City through a partnership with NYU Langone Health, adding another marquee institution to an existing concentration of partnerships across the ci | OpenEvidence is expanding its footprint in New York City through a partnership with NYU Langone Health, adding another marquee institution to an existing concentration of partnerships across the city's academic medical centers.
Oura, UC San Diego Health collaborate to study GLP-1 outcomes using continuous smart ring data
Oura is pushing further into clinical healthcare research with its first clinical trial to study the link between smart ring data and obesity treatment outcomes. | Oura is pushing further into clinical healthcare research with its first clinical trial to study the link between smart ring data and obesity treatment outcomes.
A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
Providence investment policy should be based on fiduciary principles, not politics
City investments are not the appropriate instrument for conducting foreign policy, writes the head of the Rhode Island–Israel Collaborative, who urges Providence voters to reject Question 7, the Human Rights Divestment Ordinance.
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Free Field Trips to The MAX Offered to Eligible Schools Through Mississippi Power Foundation
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Meet EBONY the 2026 Power 100's Entertainment Powerhouses
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