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Business jet carrying 9 people crashed in a Florida neighborhood, erupting in a massive fireball
Military Con 2027 Sets San Antonio and San Diego Dates
Military Con will bring live demonstrations, gaming, Hollywood panels, and massive military hardware to San Antonio and San Diego in 2027.
Business jet carrying 9 people crashed in a Florida neighborhood, erupting in a massive fireball
WEST PALM BEACH, Fla. (AP) — A business jet carrying nine people nose-dived into a South Florida neighborhood Sunday and erupted into a giant fireball that appeared to just miss homes before crashing near a busy roadway, creating a giant fiery crater in the pavement.
Business jet carrying 9 people crashed in a Florida neighborhood, erupting in a massive fireball
WEST PALM BEACH, Fla. (AP) — A business jet carrying nine people nose-dived into a South Florida neighborhood Sunday and erupted into a giant fireball that appeared to just miss homes before crashing near a busy roadway, creating a giant fiery crater in the pavement.
Why Florida State fired coach Mike Norvell despite massive buyout
The Seminoles are making a change after nearly seven seasons.
Business jet carrying 9 people crashed in a Florida neighborhood, erupting in a massive fireball
A business jet carrying 9 people crashed in a Florida neighborhood Sunday, erupting in a massive fireball.
Business jet carrying 9 people crashed in a Florida neighborhood, erupting in a massive fireball.
A business jet carrying 9 people crashed in a Florida neighborhood Sunday, erupting in a massive fireball.
Business jet carrying 9 people crashed in a Florida neighborhood, erupting in a massive fireball
A business jet carrying 9 people crashed in a Florida neighborhood Sunday, erupting in a massive fireball.
A business jet carrying 9 people crashed in a Florida neighborhood, er
WEST PALM BEACH, Fla. (AP) — A business jet carrying 9 people crashed in a Florida neighborhood, erupting in a massive fireball.
People in Massachusetts lined up to buy coffee being sold from business owner's car
Vikings Get Massive Saquon Barkley Update Amid Trade Rumors
The Minnesota Vikings are being heavily linked to Colts RB Jonathan Taylor as the trade deadline looms. A couple of weeks ago, Saquon Barkley was rumored to be in play as well.As of Saturday morning, the Colts made it clear that they are officially open for business on a Taylor trade. Indianapolis hadn’t made it […] The post Vikings Get Massive Saquon Barkley Update Amid Trade Rumors appeared first on HEAVY.
Michigan Opens as MASSIVE Favorite vs. Michigan State
Michigan has opened as a 13.5-point favorite over Michigan State ahead of their November 7 rivalry showdown at Michigan Stadium.
I'm Desperately Hoping 3 Gilded Age Characters Make A Massive Impact On Season 4
I hope they really shake things up.
Country music legend's massive California property hits the market
"A Rare Opportunity to Own a Piece of Bakersfield History!"
Business Matters: Central Mass. by the Numbers, Sunday, Nov. 1
A look at business news in Central mass. over the past week.
Business Matters: Central Mass. by the Numbers, Sunday, Nov. 1
A look at business news in Central mass. over the past week.
Pols & Politics: MA Senate advances bill for permanent Daylight Savings Time
The Massachusetts Senate advances a bill to establish permanent Daylight Savings Time, another potato chip manufacturer is leaving the Bay State, and government watchdog groups endorse ‘Yes on 5.’
“One of the Worst Turnovers I’ve Ever Seen”: Analyst Left in Disbelief as Florida QB Aaron Philo Makes Massive Mistake vs Georgia
The Florida Gators suffered a major setback on Saturday, losing to the No. 3 Georgia Bulldogs 27-8.
Apple’s Secret iPhone 20 Plans Will Completely Rewrite the Smartphone Playbook
iPhone 20 redesign rumors point to a massive 20th-anniversary update in 2027. Apple might skip the iPhone 19 and introduce solid-state haptic buttons.
Opinion | Central Mass. program explores link between food, mental health
Just as the food we eat affects our physical health, it stands to reason that the nutrients and energy we get from food can have an impact on our mental well-being, too.
"Star Wars" Killed The New "Mass Effect"?
Last week’s announcement that EA was shutting down game developer BioWare and scrapping the newest “Mass Effect” game upset much of the fanbase. Now, the apparent reason why has been revealed. Bloomberg reports that the decision to close BioWare was mainly due to EA pursuing the opportunity to make a new “Star Wars Battlefront” game. […]
Drinking tea may help protect your heart, but there’s a surprising catch
A massive study of nearly 486,000 adults found that regularly drinking tea was associated with an 11% lower risk of heart and blood vessel diseases. The lowest risk was linked to drinking roughly six to eight cups per day, with black tea showing more consistent benefits than green tea.
EA reportedly canceled Mass Effect and shut down BioWare to prioritize a new Star Wars: Battlefront
EA reportedly abandoned BioWare's next Mass Effect game to prioritize a new Star Wars: Battlefront title amid mounting financial pressure.
Approach made, massive transfer is on the horizon for Liverpool
Liverpool could be on the brink of completing a massive transfer. It's an exciting time around Anfield again. Last season was full of doom and gloom for Liverpool fans as the club stuck with Arne Slot...
NH AG orders Mass. printer, D.C. firm to stop anonymous Sena...
New Hampshire’s AG ordered two out-of-state firms to halt anonymous Senate-race mailers as an investigation into missing disclosures continues.
Scientists Discover How Dead Stars Could Break One of Physics’ Most Famous Limits
New simulations suggest that powerful internal magnetic fields could allow some white dwarfs to grow far beyond a long-established stellar mass limit. New research suggests that some white dwarfs, the incredibly dense remnants of dead stars, could grow far heavier than a fundamental limit in astrophysics predicts. Computer simulations show that powerful internal magnetic fields
EA Offices Tagged With 'Save Mass Effect' Graffiti
As stumbled upon overnight by a Reddit user, one incensed fan is taking the fight right to the publisher’s gates
Morgan Rogers explains Chelsea wondergoal after 'massive' Manchester United victory
Forward set Blues on their way with superb solo effort
Mike Borgonzi Reveals if Cam Ward Inspired Jeffery Simmons Trade
After shipping Jeffery Simmons to Chicago for a massive draft haul, Mike Borgonzi addresses rumors regarding the roster's future and Cam Ward’s inconsistent performance under center.
A mysterious 4,000-year-old wall is rewriting North Africa’s history
A remarkable 4,000-year-old defensive structure discovered in Morocco is rewriting what scientists thought they knew about ancient North African civilizations. The massive fortifications reveal unexpectedly sophisticated prehistoric societies and suggest that the region played a much greater role in Mediterranean history than previously recognized.
While mud-coring in Baffin Bay, scientists accidentally found the marks of a mile-thick ice shelf that blocked three massive ice sheets
A 2023 mud coring excursion mapped seafloor marks of an ice shelf up to 1.3 miles thick that filled Baffin Bay about 20,000 years ago.
“How Many All-Pros Does Tom Brady Have?”: Rob Parker Makes Massive Claim About Lamar Jackson’s NFL Legacy By Comparing Him To 7x SB Winner
NFL analyst Rob Parker showered praise on Baltimore Ravens quarterback Lamar Jackson and compared him to seven-time Super Bowl champion Tom Brady. On The Odd Couple Show, Parker highlighted Jackson’s three First-Team All-Pro selections and compared them with Brady, who earned the same number in 23 seasons.
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".
AWS CEO: Potential for our business is ‘massive’
AWS CEO Matt Garman discusses Amazon Web Services' third-quarter earnings, cloud capacity sales and artificial intelligence chip demand on ‘The Claman Countdown.’
Chiefs’ Rashee Rice gets massive injury update for Broncos game
The Kansas City Chiefs are getting a major offensive boost ahead of Sunday’s matchup against the Denver Broncos, as Rashee Rice is expected to return to the lineup. According to ESPN’s Adam Schefter, Rice has no injury designation for Sunday and is expected to play after missing the last few weeks . His return could not come at a better time for […] The post Chiefs’ Rashee Rice gets massive injury update for Broncos game appeared first on ClutchPoints.
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.
BREAKING: Sutter Health Abandons Plans for Emeryville Hospital
Sutter Health announced that it has abandoned plans for its Emeryville Hospital and will seek a new location in the East Bay.
Auto review: 2026 Lincoln Navigator moves people in American style
While the Ford Motor Co. continues to produce mass-market trucks and SUVs for the everyday consumer, its upscale Lincoln brand is focused on delivering an experience to consumers that is
Mass Effect Studio Shut Down Because EA “Chose to Invest in Star Wars” Instead
Mass Effect was going toe-to-toe with Battlefront.
EA execs choosing Star Wars Battlefront 3 over Mass Effect 5 was the main factor in BioWare's demise, according to report
EA's decision to shutter BioWare was largely rooted in choosing to bankroll Star Wars Battlefront 3 over Mass Effect 5, a new report claims.
Golic Jr.: Brett Yormark's exit is a 'massive shake-up' in college sports
Golic Jr.: Brett Yormark's exit is a 'massive shake-up' in college sports
Pixel 11 Pro and 11 Pro XL Hit With Massive Price Cuts
You know that we have officially entered the holiday shopping season when Google slashes the prices of its brand new Pixel 11 series with the largest discounts to date. You may not even need a trade-in at this point, thanks to these wild price cuts. The Pixel 11 Pro has been given a $300 discount,...
Top Science Democrat probes cuts to research spending at National Science Foundation
A key Democrat is looking into a massive amount of money that was appropriated to the National Science Foundation (NSF) but reportedly not spent. In a letter first shared with The Hill, House Commi…
Premiere Cinemas expanding at South Plains Mall with new massive family entertainment center
A major entertainment expansion is on the way to the South Plains Mall.
EA reportedly closed BioWare because it was forced to choose between Mass Effect 5 and Star Wars Battlefront 3
BioWare closed because EA faced a choice between sci-fi games Mass Effect 5 and Star Wars Battlefront 3, a new report says. And BioWare lost out.
Louisville Metro Council eases massage business restrictions
Louisville Metro Council eased massage business rules after therapists said the ordinance hurt their work and drove professionals away.
Louisville Metro Council eases massage business restrictions
Louisville Metro Council eased massage business rules after therapists said the ordinance hurt their work and drove professionals away.
Meet Massachusetts' Women power players: $164B impact
Meet the power players on the annual list from The Women’s Edge.
Roma make first approach for Frosinone’s Kvernadze
Massimiliano Alvini’s Frosinone never ceases to amaze, and they’re the great revelation of this Serie A season. The Gialloblu crushed Lecce 5-1 yesterday and continue to occupy the top spots of th...
EA Reportedly Closed BioWare To Invest In Developing Star Wars Battlefront III Instead Of The Next Mass Effect
EA purchased BioWare back in 2007 to make a Star Wars game that would become The Old Republic MMORPG. - Game Informer
Opinion | Don’t play politics with US Census
Trump changes would likely lead to undercount in Massachusetts.
For Mass. Brazilians, the American Dream comes with familiar political divides
For a Brazilian community that gravitates toward Bolsonaro — an ally of President Trump — the White House's mass deportation campaign brings conflicted feelings about the American president.
Metro Council makes changes to massage business ordinance
Metro Council is making changes to restrictions under the city's massage business ordinance.
Ramaswamy pulls down controversial ad after mass backlash
Vivek Ramaswamy has pulled down his controversial advertisement featuring Democrat Dr. Amy Acton's estranged mother, one that had received bipartisan backlash for the past week.
Google parent Alphabet suffers nearly $500B Wall Street wipeout amid AI spending fears
Alphabet suffered one of the largest stock market wipeouts in history after investors questioned the Google parent's massive artificial intelligence spending.
New initiative pairs cancer survivors, patients at UMass Memorial Health
New Everett law on illicit massage businesses shuts down 19 locations in 4 months
EVERETT – A total of 19 massage business have closed down or been condemned after the city passed a tougher […]
Frosinone coach Alvini: ‘I believe football is entertainment, but focus is on safety first’
Massimiliano Alvini is relishing his record-breaking Frosinone after a 5-1 hammering of Lecce. ‘I believe that football is entertainment’ and his focus remains on Serie A safety.This team is makin...
Arts and Entertainment Agenda, Oct. 29 to Nov. 5
‘Día de los Muertos,’ Oct. 7 to 31 Celebrate “Dia de los Muertos” with a vibrant three-course meal, available through Oct. 31 at Toro inside the Viceroy Snowmass, 130 Wood Rd. Led by chef Richard,...
Everett pushes to close suspected illegal massage businesses amid trafficking concerns
Everett officials say a months-long push to crack down on suspected illicit massage businesses has led to multiple closures, citations and condemnations, with m
BioWare Co-Founder Breaks Down the Problem With AI in Game Development Perfectly
Relying on AI does not make a great video game.
The 2026 Big Ten College Football Playoff Picture: Week 9
Halloween will be the stage for most of the Big Ten's next slate of games, and things are about as spooky as they've been. Now, with only a handful of games left on the schedule, there is a clear tier of contenders emerging, but one bad weekend could pose a massive threat to the Big …
Former NYC mayor tours new Boston museum wing he helped fund with $155M gift
The new 10,000-square-foot space offers immersive exhibits, live performances and views overlooking the Charles River.
Commentary: Mass deportation is diverting money that could be used for healthcare, other needs
Mass deportations have an incalculable human toll, and we stand to lose $4.4 billion in taxpayer money in Minnesota alone.
Exploring the Cat's Head Nebula
This visualization explores imagery from NASA’s Hubble and James Webb Space Telescopes of the Cat’s Head Nebula, a relatively small, dusty filament containing forming stars located within the massive Carina Nebula. Each telescope and wavelength of light offers unique ...
UMD faculty recognized among the world’s leading scientists and scholars
UMass Dartmouth faculty have been named to the 2026 Top 2% Scientists and Highly Ranked Scholars lists, including several ranked in the top ten of their subspecialties
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
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