SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " discipline " 329 found 🔀 AI-powered Shuffle
Michigan’s Defensive Discipline Takes Center Stage Ahead of Rivalry Week
Stifling second-half statistics fuel momentum, but the Wolverines must eliminate penalties and establish early consistency to survive a grueling November slate starting with the Spartans under the lights.
NFL Announces Discipline for Multiple Players Over Houston Texans Game
The NFL has taken action against multiple players, including Houston Texans cornerback Ja’Marcus Ingram, in its weekly sweep. The post NFL Announces Discipline for Multiple Players Over Houston Texans Game appeared first on HEAVY.
The Best Time to Fix Your Business Is When Things Are Going Well by Nathan Tayloe
There's a pattern I've noticed working with growing businesses over the years. Conversations about what needs to change rarely happen when things are going well. They tend to happen when growth slows, a competitor starts winning business, or something that used to work stops producing the same results. By then, the decisions are often harder, more expensive, and more urgent than they needed to be. It's understandable. When revenue is growing, customers are coming in, and employees are busy, there's little incentive to question what's working. Leaders have plenty to manage without creating new challenges for themselves. Running my own business has taught me that it's easy to get caught up in what's happening today and put off improvements you know will matter tomorrow. Those periods of success may actually be the best opportunity a business has to make meaningful improvements. When Success Makes Change Less Urgent Most businesses have things they know could be better. The challenge is finding a compelling reason to address them when everything appears to be working. Maybe the company has outgrown its original positioning. Perhaps internal processes haven't kept pace with growth, or the customer experience has become inconsistent as the organization has expanded. These issues don't necessarily prevent a business from growing. Strong demand can make them easier to overlook, especially when teams are focused on keeping up with the work already coming in. Over time, small inefficiencies become accepted ways of operating. Outdated processes remain in place because they've always worked well enough, and opportunities to improve get pushed aside in favor of more immediate demands. The business continues moving forward, but some of the things supporting that growth aren't getting stronger along with it. The Advantage of Acting Early When a business is performing well, leadership has something valuable: options. There's more flexibility to invest, experiment, develop people, and make thoughtful decisions without the pressure of an immediate problem that needs solving. Compare that with trying to make the same changes when revenue is declining, or the market has shifted. Investments become harder to justify, timelines get compressed, and decisions that could have been made strategically become urgent responses to circumstances. I've seen businesses postpone improvements for years because there was never a particularly good time to address them. Eventually, circumstances decide for them, often when they have fewer resources and less flexibility to respond. Growth Changes What a Business Needs This is especially relevant in a growing market like Wilmington, where new businesses, new residents, and continued investment are creating opportunities across the region. As organizations grow, the expectations placed on them change. Customers expect greater consistency, employees need clearer processes and opportunities, and leadership has to make decisions that support a larger, more complex business. What worked when a company was smaller may still work today, but that doesn't necessarily mean it will support where the organization wants to go next. Sometimes the most valuable improvements are the ones that prepare a business for demands it hasn't experienced yet. That might mean: Strengthening internal processes before they become bottlenecks Developing leaders before the organization depends on them Improving the customer experience before inconsistencies affect retention Revisiting positioning before the market outgrows the company's story None of these changes requires a crisis. They require recognizing that a growing business needs to keep evolving, even when current performance gives leadership little reason to worry. Use the Good Years Wisely Successful businesses don't need to constantly reinvent themselves. There's value in knowing what works and having the discipline to build on it. There's also value in occasionally asking whether the business is as strong as its current performance suggests. Are there problems we've learned to work around instead of solving? Are we still operating the way we did several years ago, even though the business has changed? What would we improve today if we weren't waiting for something to go wrong? Success creates the freedom to ask those questions and act on the answers. The businesses that make the most of that opportunity are often better prepared for whatever comes next. The strongest businesses don't need a crisis to recognize an opportunity to improve. They use the good years to prepare for the years ahead. — Learn more about how we help organizations strengthen their positioning, align their strategy, and prepare for what's next at tayloegray.com, or reach out directly at nathan@tayloegray.com.
Michigan’s Frontcourt Must Turn Size Into Possession Control
Towering height alone won't secure the glass. To dominate, the Wolverines must master positioning, communication, and discipline to transform raw physical potential into game-changing defensive stops.
Anti-corruption and party discipline: takeaways from from this week's key political meeting in Beijing
The Communist party central committee meeting was focused on discipline and fighting corruption. It comes ahead of next year when Xi is widely expected to try to secure a fourth term.
UNC Football is Playing More Disciplined. Is it Enough?
Winning and losing in the margins.
Anti-corruption and party discipline: takeaways from from this week's key political meeting in Beijing
The Communist party central committee meeting was focused on discipline and fighting corruption. It comes ahead of next year when Xi is widely expected to try to secure a fourth term.
Jack Grealish Absent From Everton Game Due to Discipline
Everton winger Jack Grealish was missing from the squad to face Newcastle United in the Carabao Cup on Thursday night.
Bijan Robinson Has a Secret Weapon. It’s Not What You Think.
The Falcons star approaches this area of health with the same discipline as his game.
Social Science: Neither Social nor Science
After finishing required coursework, Ph.D. students in most disciplines take preliminary (sometimes called qualifying) exams to demonstrate that they’re ready to begin independent dissertation…
These students solve research problems with their hands - College of Arts and Sciences
Scholars in the UNC computer science department’s Experimental Engineering Lab learn skills applicable across disciplines.
Record number of purges as Xi emphasises 'party discipline' at China political gathering
Xi's anti-corruption campaign has become "an effort to consolidate and maintain authority", observers say.
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
Clippers Injury Report Rules Out Six Players vs. Lakers
Shorn of key starters, the Clippers must prioritize elite ball security and disciplined rotation management to exploit a fatigued Lakers squad during Wednesday’s high-stakes Intuit Dome showdown.
Faculty in the College of Behavioral, Social and Health Sciences earn national honors across disciplines
Faculty members in the College of Behavioral, Social and Health Sciences (CBSHS) have received national honors from professional organizations across
Faculty in the College of Behavioral, Social and Health Sciences earn national honors across disciplines
Faculty members in the College of Behavioral, Social and Health Sciences (CBSHS) have received national honors from professional organizations across
JJ Redick: Lakers lacked defensive discipline during Tuesday's loss
Lakers coach JJ Redick commented on his team's defensive shortcomings in Tuesday's loss to the Trail Blazers.
Think like an entrepreneur to make a better business case
Corporate sustainability must move past passive compliance and reporting administration and adopt proven entrepreneurial disciplines.
Cincinnati Financial’s personal lines new business falls 40% through three quarters
Carrier cites discipline over volume as catastrophe losses bite and competition stiffens
Wilmington Health facility sells for $9.4M
Wilmington Health’s main facility recently sold for more than $9 million. The 66,000-square-foot facility located at 1202 Medical Center Drive was purchased by Charlotte-based real estate investment firm Cedar Square in a $9.4 million sale-leaseback transaction, according to a deed recorded Oct. 21. Wilmington Health will continue leasing the facility, CEO Jeff James told the Business Journal in September. James said the lease term would likely be five years, with most services eventually transferring to a new medical office building under construction in the Midtown Park office area near The Pointe at Barclay. The Wilmington Health facility was originally listed earlier this year at $11.85 million. A Wilmington Health representative did not respond to a request for comment by press time. Steve Hall, vice president of BlueCoast Commercial, represented Wilmington Health in the transaction. “Wilmington Health wanted to unlock the value in its real estate without disrupting a single patient visit, and a sale-leaseback let them do exactly that,” said Hall in a text to the Business Journal Monday. “Cedar Square gets a long-term, absolute net investment anchored by one of the region’s leading physician groups, and Wilmington Health keeps its home on Medical Center Drive while redeploying that capital into care.” The sale marks Cedar Square’s first entry into the Wilmington market, according to Jon Dixon, the firm's managing partner and founder. “We are attracted to Wilmington's growth and what we see as strong long-term fundamentals,” said Dixon in an email Monday. “Population growth, relative affordability, and quality of life make it a compelling market for us. The climate and proximity to the coast are a big part of that appeal.” He added, “We hope to pursue additional opportunities across retail, industrial, medical office and multifamily in Wilmington. We will evaluate opportunities individually and remain disciplined about the properties we pursue. We would like this acquisition to be the beginning of a broader investment presence in Wilmington.” Given the facility’s age, Dixon said the site could eventually be redeveloped, potentially for medical office space or housing. Dixon said recent announcements from UNC Health and Atrium were among the factors behind the firm’s growing interest in Wilmington’s medical-office market. The announcements involve competing proposals for hospital expansion in New Hanover County, which are subject to the state’s Certificate of Need process. “Medical office remains one of the most sought-after asset classes in commercial real estate,” said Hall, “and well-located (medical office buildings) with strong operators are scarce in Southeastern North Carolina.” According to Dixon, Cedar Square describes itself as a boutique, hands-on real estate investment firm that values direct relationships with tenants and the communities where it owns property. “We’re very hands-on, and we like to be in direct contact with all of our tenants and the communities in which we own,” Dixon said. He added, “We’re definitely interested in building a presence with local owners, brokers and businesses or tenants.”
Lunin: “Discipline, attitude and determination were key”
Real Madrid backup goalkeeper Andriy Lunin talked to the club’s media after starting in Madrid’s 2-1 victory at the Camp Nou. “Discipline and attitude were key because Barcelona had more possession. Also, the determination because playing away is tough, and today these three points were important because we all knew how things stood. Teamwork was […]
University of Detroit Mercy lands $7.75M defense grant to grow cybersecurity, AI workforce pipeline
The funds are to help address workforce shortages in advanced technological disciplines essential to modern military operations and applicable to civilian life.
Clune Construction: The discipline and adaptability behind our growth
Clune Construction scales nationally through innovation, employee ownership and consistent project delivery while preserving its culture.
China's big political meeting could see Xi 'tighten discipline' in Party
The highly secretive four-day Plenum starts Monday in Beijing.
China’s political elite gather for talks on Communist Party discipline
The four-day meeting is being watched closely for clues as to the country's direction and future leadership.
What to know about China’s plenum as Xi seeks stronger Communist Party discipline
HONG KONG (AP) — China's political leaders and elites begin a four-day meeting Monday to discuss strengthening the ruling Communist Party's discipline, as Chinese President Xi Jinping pushes for great...
TOP 10 PLAYERS: Barcelona 1-2 Real Madrid
A very disciplined and crucial effort in defence from Real Madrid
Jacksonville Jaguars’ Major Offensive Issue After 4-2 Start Revealed
The Jacksonville Jaguars’ 4-2 start has been overshadowed by a recurring offensive problem, as penalties continue to erase scoring opportunities and disrupt drives. Costly infractions have prevented the team from maximizing its production, raising concerns about discipline as Jacksonville looks to remain competitive in the AFC. The Jaguars have already had three touchdowns wiped off […] The post Jacksonville Jaguars’ Major Offensive Issue After 4-2 Start Revealed appeared first on Gridiron Heroi
Alabama's Keelon Russell Presents Unique Challenge for Texas A&M
Mike Elko must solve a dynamic dual-threat puzzle as the Aggies travel to Tuscaloosa, facing a disciplined Crimson Tide offense led by Duncanville's elite playmaker.
Catholic social scientists hold conference blending disciplines and faith
Scholars will deliver talks on Catholic teaching in relation to American history, political science, and hot-button issues like artificial intelligence, immigration, and euthanasia.
More Tar Heels say “Yes, and” to majors
Kate Blizzard (Romance languages and environmental science) is one of many students who dive deep into two academic disciplines.
Will Pitt's Defense Contain Miami Hurricanes' Malachi Toney From Igniting?
Senior cornerback Raion Strader and the Pitt Panthers' secondary aim to stifle Miami Hurricanes elite playmaker Malachi Toney, testing whether a disciplined scheme can ground the versatile offensive threat.
Computer Science Is Bleeding Students. It’s Not the First Time.
Reports of the discipline’s crisis might be an exaggeration, experts say.
Brewers Aces Must Deliver Against Patient Rays in World Series
The Milwaukee Brewers’ dominant bullpen faces a grueling test against the Tampa Bay Rays’ disciplined hitters, forcing Jacob Misiorowski and Logan Henderson to rediscover their best form.
Lombardo check rejected as evidence during Fiore hearing
A Nevada judicial discipline panel rejected Gov. Joe Lombardo’s $5,000 check as evidence in proceedings against suspended Pahrump Justice of the Peace Michele Fiore.
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
Former Las Vegas Councilwoman denies misusing donations during judicial discipline hearing
Michele Fiore testified that she believed a developer paid for a memorial statue honoring slain Metro officer Alyn Beck as she denied misusing donations during a Nevada judicial discipline hearing.
From Nanochemistry to Smart Roads: The Multi-Scale Science Transforming Sustainable Pavements
A new Frontiers in Materials editorial maps how functional additives, multi-scale analysis, and machine learning are turning road construction into a quantifiably sustainable, data-driven discipline.
Sell Rating Could Be A Turning Point For Sphere Entertainment Stock (SPHR)
Argus recently cut its view on Sphere Entertainment to a SELL rating, citing weaker scores on management quality, growth potential, and valuation, while assigning only medium marks to financial strength and the industry backdrop. The downgrade highlights a key tension in Sphere Entertainment’s story: an experience-heavy, capital-intensive model that faces questions about execution discipline and long-run profitability. This raises the question of how Sphere Entertainment's investment...
Youhong (Nancy) Guo wins 2026 Packard Fellowship - College of Arts and Sciences
Guo is one of 20 fellows this year whose work spans the breadth of science and engineering disciplines.
AI Is Only as Smart as the Data Behind It
The unglamorous discipline of data quality is quietly deciding which AI projects succeed — and which quietly fail. A few years ago, I sat in a conference room while a retail client showed off a new demand-forecasting model. The dashboard looked impressive: clean charts, confident predictions, a color scheme that seemed to say, “we’ve arrived.” […]
Falling Walls Foundation Female Science Talents Intensive Track 2027 (Fully-funded)
Deadline: November 15, 2026 Applications are invited for the Female Science Talents Intensive Track 2027. For 2027, they are looking for 20 exceptionally talented women in science from all disciplines to take part in the one-year career programme. The Intensive Track is a one-year programme supporting 20 outstanding early-career women in science from all disciplines
Utah Jazz Cannot Let Whistles Teach Them To Defend Softly
Will Hardy must balance disciplined aggression with youthful mistakes, ensuring a whistle-heavy preseason doesn't strip away the physical identity needed to anchor Utah’s developing defensive core.
Jayden Woods working to balance energy, discipline in pass rush
Jayden Woods discusses controlling his pass-rush energy, Brad White's increased intensity, Florida's defensive unity and facing South Carolina.
The Math Singularity Is Here, and Science May Be Next
OpenAI has released an extraordinary body of mathematical work produced by an unreleased frontier model: 722 manuscripts spanning 372 research families across fields including number theory, complexity theory, and mathematical physics. Each result required, on average, the equivalent of roughly three hours of ChatGPT Pro reasoning. A New Era of Discovery We may be witnessing the beginnings of a “math singularity”: a point at which machine-generated discovery accelerates beyond humanity’s ability to independently reproduce, verify, or fully absorb it. If frontier models can generate hundreds of meaningful results in the time it takes a human researcher to investigate one, the constraint will no longer be producing new mathematics. It will be our capacity to validate, interpret, and integrate it. This does not make mathematicians obsolete. It changes their role. They may increasingly serve as guides, critics, and meaning-makers. Increasingly, they will decide which questions matter, determining which results can be trusted, and explaining why they are important. Mathematical insight may become abundant, while human judgment becomes more valuable than ever. Mathematics May Be Only the Beginning Every scientific discipline could eventually experience a similar acceleration. AI systems could generate and test hypotheses, connect findings across specialized fields, and explore possibilities at a scale no human research community could match. In medicine, imagine models identifying overlooked disease mechanisms, designing drugs and clinical trials, personalizing treatments, or discovering cures in months rather than decades. In materials science, AI could help create better batteries and cleaner industrial processes. In climate science, it could accelerate advances in energy, forecasting, and carbon removal. In biology, it could uncover relationships hidden across enormous genomic and molecular datasets. The result would not simply be faster research. It could expand the frontier of what is scientifically possible. The New Bottleneck Scientific discovery, however, is not the same as scientific progress. A medical breakthrough must still survive laboratory testing, clinical trials, regulatory scrutiny, manufacturing constraints, and real-world deployment. As machine-generated ideas multiply, the bottleneck may shift from producing breakthroughs to validating them safely and translating them into practice. We may soon have more hypotheses than laboratories can test, more drugs than clinical trials can evaluate, and more mathematical results than experts can review. That imbalance will require better systems for automated verification, reproducible research, prioritization, peer review, and collaboration between AI and domain experts. The importance of OpenAI’s work is not merely the number of manuscripts produced. It offers a glimpse of a world in which intelligence can explore thousands of intellectual paths in parallel. If ideas cease to be scarce, humanity’s defining challenge will be deciding which are true, which matter, and how to turn them into progress. The math singularity is not the end of human inquiry. It is the beginning of a new kind—one in which machines expand the frontier of knowledge and humans decide where it should lead. Subscribe Share Leave a comment
In Good Health: The Evolution Of Prostate Cancer Treatment
Prostate cancer is the most commonly diagnosed cancer in American men — and the second leading cause of cancer-related deaths. One in eight men will be diagnosed in their lifetime. And Black men are more than twice as likely to die from it.Between the social stigma and misconceptions about diagnostic methods, it’s not something many men want to talk about. Some 99 percent of people diagnosed early with prostate cancer live at least 5 more years. And treatment options and guidelines are evolving rapidly.Our “In Good Health” series continues. We gather a group of doctors from three of the disciplines involved in the treatment of prostate cancer.Find more of our programs online. Listen to 1A sponsor-free by signing up for 1A+ at plus.npr.org/the1a.
Lewis Hall Helps England To A Third Consecutive Clean Sheet
The Newcastle youngster solidified his international standing with a disciplined display, providing technical flair and defensive steel to help Thomas Tuchel’s side maintain their formidable defensive momentum.
Maxwell Hairston: From Chosen One to Just Another Bust
After surrendering two touchdowns to the Patriots and skipping postgame media, the Bills' self-proclaimed superstar faces a harsh reality check following a disastrous, discipline-lacking performance in Buffalo.
NFL Drops Hammer With Punishment Over Denver Broncos Game
The NFL has stepped in with costly discipline over an in-game altercation involving Denver Broncos head coach Sean Payton. The post NFL Drops Hammer With Punishment Over Denver Broncos Game appeared first on HEAVY.
Students Use Forensic Science Skills in Escape Room
Hundreds of students from across the region put their problem-solving skills to the test this week during the Regional Science Consortium’s annual Forensic Science Escape Room. Elementary school students had just a few hours to figure out how someone died as part of a forensic science escape room activity. The Regional Science Consortium partnered with Mercyhurst University for the 10th year of the event, which is taking place at the Tom Ridge Environmental Center. It began Monday and runs through Thursday.Throughout the week, more than 250 students are working to solve murder mysteries using real forensic science techniques. Students must analyze the evidence, piece together clues and solve the crime before time runs out.Organizers said the event gives students interested in pursuing forensic science in college a firsthand look at what a career in the field could entail.Sarah Skelton, Special Gifts Coordinator at Iroquois, said the activity provides students with an opportunity to develop skills that can sometimes be difficult to practice in a traditional classroom. "It really helps them to work in teams and on critical thinking skills. Which, not that they don't get these opportunities, but it's hard sometimes in the classroom to develop those higher-level thinking skills”, said Skelton.Students also get a chance to learn how forensic science is used in real-life investigations. As Skelton explained, "What are the real-life applications? What would you actually see in a crime scene? How would you handle these types of forensic investigations? So it's really cool our kids get to see what opportunities are out there and possibly a career field one day."The popular event has grown over the years, with some students returning year after year. Organizers said watching those students grow and develop their interests is one of the highlights of the program.Jeanette Schnars, the Executive Director of the Regional Science Consortium said it's rewarding to see how students' interests evolve as they get older. According to Schnars, "How they have grown and matured and where their interests are going and maybe they aren't going into forensics, but if they are going into sciences or different disciplines, so it's really fulfilling to see how they have matured."One student who continues to enjoy the event is sixth-grader Mia Harvey of Iroquois. Harvey hopes to pursue a career in medicine and says the forensic science activities are helping her explore her interests, "One day I want to become a neurologist, and learning about the bones is probably going to help me."Harvey said her favorite part of the event is the real-life application of what she's learning. "While you are trying to find the clues, they teach real stuff that you would need to know”, said Harvey.Event organizers said if students are learning while having fun, then the program is accomplishing its goal. "Not only are they learning the science, but they are having fun with it too”, said Schnars.Adults will also have a chance to take part in the experience this Saturday during an adult version of the escape room, which will feature food, drinks and entertainment. For more information, click here.The Forensic Science Escape Room has become one of the Regional Science Consortium’s most popular events, with teachers signing up their students as soon as registration opens in August.
The Science Enabling a Steady Supply of Critical Minerals
Researchers are collaborating across disciplines to unlock domestic sources of valuable materials and lower costs.
Poole College Broadens Access to Graduate Business Leadership Certificate
Graduate students from any discipline, as well as prospective learners from outside NC State, may now pursue the certificate.
AI, data science leaders join Cornell’s Radical Collaboration initiative
Cornell is expanding its expertise in artificial intelligence and data science thanks to the arrival of new faculty, with support from the Radical Collaboration initiative, building a research community that reaches across disciplines.
Orlando Magic's Jalen Suggs Details Key Differences in Coaching Staff
Jalen Suggs reveals how a lifelong bond with new head coach Sean Sweeney is fueling a systemic shift in Orlando, prioritizing disciplined efficiency over past habits.
Studying Science in an Anti-Scientific Time
This Chronicle Review Deep Cut was first published in 2025. By Julianne Werlin Thanks for reading The Chronicle Review! Subscribe for free to receive new posts and support my work. Subscribe The last two decades have not been kind to science studies. Already bruised and battered by the “science wars” of the 1990s, by the 2000s sociologists of science — who had long argued that science had to be understood in its human context — were encountering the funhouse-mirror version of their own views in right-wing critiques of climate scientists. It was enough to give some prominent scholars pause. “Was I wrong to participate in the invention of this field known as science studies?” asked Bruno Latour, the most famous sociologist of science in the world, in 2003. “Should we apologize for having been wrong all along? Or should we rather bring the sword of criticism to criticism itself and do a bit of soul-searching here: What were we really after when we were so intent on showing the social construction of scientific facts?” In response, Latour proposed a change of method and attitude. Science studies, now chastened and contrite, would no longer seek to strip facts of their authority, but to enrich and enhance them. What this meant in practice was never fully clear. But his diagnosis of problems resonated, even if his solutions did not. Latour’s exercise in public hand-wringing signaled a shift in mood. By 2016, with the first election of Donald Trump, the idea that skepticism of science was a right-wing position, not a left-wing one, had become a commonplace, discussed eagerly in The New York Times. For liberals, vaccine denial during the Covid era and Trump’s second-term attacks on the funding of scientific research, covered extensively in these pages, added a new urgency to the defense of science on both practical and principled grounds. There was little appetite for a sociology or philosophy of science that emphasized the messiness and missteps of the scientific process rather than its integrity and triumphs. The distinguished historian of science Peter Dear’s new book, The World as We Know It: From Natural Philosophy to Modern Science (Princeton University Press, 2025), which seeks to tell the story of 18th- and 19th-century science for a general public, may seem comfortably remote from these bitter contests. In its 16 short chapters, Dear draws swift, sure sketches of major discoveries from Newton to Einstein, ably guiding the reader through debates on stellar nebulae, animal taxonomy, atomic chemistry, evolution, and other flashpoints in the history of science. But though a work of history, Dear’s book must still negotiate our polarized present. In a blurb on its back cover, the historian of biology Lynn K. Nyhart alludes to the “present moment, when scientific knowledge is being swamped by misinformation and its institutions are under siege.” Dear himself, in his conclusion, refers to the “yard signs” and “bumper stickers” that proclaim “Science Is Real.” One antidote to both anti-science propaganda and to reductive slogans in science’s defense is a robust history and philosophy of science: exactly what Dear’s scholarship has long offered. But his new book illustrates how difficult such work has become. Dear, an emeritus professor of history at Cornell University, is best known as a creative and philosophically minded historian of the Scientific Revolution. His edited volume The Literary Structure of Scientific Argument (1991) analyzed the rhetoric of Galileo’s thought experiments to brilliant effect. Discipline and Experience: The Mathematical Way in the Scientific Revolution (1995) was a major contribution to the analysis of scientific experiments in early modern Europe and beyond, while Revolutionizing the Sciences: European Knowledge in Transition, 1500-1700 (2001), now in its third edition, remains one of the best overviews of the profound epistemological upheavals of 16th- and 17th-century science. But Dear has also ventured into later periods. Nearly two decades ago, in The Intelligibility of Nature: How Science Makes Sense of the World (2006), he turned to the 18th and 19th centuries to sketch a history and theory of scientific knowledge. Aimed at a generalist audience, Dear’s simple prose belied serious philosophical ambitions. Science, Dear argued, has two aspects: “natural philosophy,” the quest to understand the true nature of the universe, and “instrumentality,” the applied skills and technologies that allow us to manipulate the world for human advantage. Both strands are ancient, but the innovation of the phenomenon we call “science” was to yoke them together. As Francis Bacon wrote, “Human knowledge and human power meet in one; for where the cause is not known, the effect cannot be produced,” an insight typically abridged to “knowledge is power.” Or, in Bertrand Russell’s characteristically blunt phrase, science has two functions, “1. to enable us to know things, and 2., to enable us to do things.” So far, so conventional. But Dear took issue with this familiar story in one respect. Bacon’s formula implied that theory and practice could be fused in a single method. In fact, Dear argued, the quest to understand nature and the desire to manipulate it were coupled only loosely. They could come together, but they could also pull apart. Focusing on natural philosophy, the “knowing” half of the scientific circle, he used a series of case studies from cosmology, taxonomy, chemistry, electromagnetism, and quantum theory to show how theories changed over time, in dialogue with practice, but never reducible to it. Take the case of matter, the basic substrate of the physical world. In the 18th and 19th centuries, scientists not only disagreed about what it was, but also about how well it could be known. In 1789, the chemist Antoine Lavoisier dismissed speculation about the atomic composition of chemicals as “discussions entirely of a metaphysical nature,” as he sought to orient chemistry away from philosophical abstraction and toward laboratory results. But in the 19th century, atoms returned with a vengeance in the atomic chemistry of John Dalton, who wanted to explain the underlying structure of nature. It was not just that Dalton and Lavoisier had a different set of experimental results, or even a different theory, Dear showed. What counted as an explanation had changed. In arguing that scientific theories depended on their intelligibility to human beings with complex arrays of beliefs and commitments, Dear was in sympathy with science studies. Key figures such as the sociologist Steven Shapin emphasized the importance of psychological mechanisms like trust in the formation and acceptance of scientific ideas. But in focusing on the scientific pursuit of knowledge, not its politics or economics, Dear resisted the more cynical perspective of some of his colleagues. The Intelligibility of Nature strikes a very different note than Shapin’s collection of a few years later, Never Pure: Historical Studies of Science as If It Was Produced by People With Bodies, Situated in Time, Space, Culture, and Society, and Struggling for Credibility and Authority (2010), to name just one example. Walking a very fine line, Dear depicted science as driven at once by complex social dynamics and by the intellectual power of real discoveries. It was a testament not only to his own acumen but also to the vitality of the field that he was able to do so. Nearly two decades later, The World as We Know It returns to the questions broached in The Intelligibility of Nature. Like Dear’s earlier study, it begins with the Newtonian cosmos and ends with debates between Einstein and Bohr on quantum physics. Beyond its terminal figures, many of the same characters appear in both studies, including the naturalists John Ray and the Comte de Buffon; the chemists Étienne François Geoffroy, Antoine Lavoisier, and John Dalton; as well as Charles Darwin and Michael Faraday, among others. Its subject is nearly identical: As in The Intelligibility of Nature, The World as We Know It considers natural philosophy as opposed to instrumentality, here defined as the “desire to create a picture of what the world is really like — the world as God knows it — rather than simply having instrumental or operational control over it.” The two books also overlap in insights — and sometimes even in language. The reader who has learned in The Intelligibility of Nature that Buffon’s method of classifying animals “reflected his belief in the importance of the senses and empiricism in learning about nature (a doctrine associated with Newton and the philosopher John Locke)” will experience a sense of déjà vu on reading, in The World as We Know It, that the classification “reflects Buffon’s commitment to the epistemological stance of Newton and his philosophical underlaborer John Locke, who stressed the role of the senses in creating natural knowledge.” Later in the passage, we read that, “because of its stress on understanding the ways of life of animals in their environments, Buffon’s approach could almost be labeled (anachronistically) as ‘ecological.’” And again, “an anachronistic way of putting it would be to say that Buffon recommends an ecological mode of understanding.” Likewise, in The Intelligibility of Nature we read of Dalton that he was initially drawn to meteorology, and that: He did a bit of experimental work on these things, especially having to do with the water-holding capacity of gases, but his real interest lay in understanding what, at an underlying natural-philosophical level, was really going on physically.” Whereas, in The World as We Know It: He did experimental work on these things, especially concerning the water-holding capacity of gases — although not at a very refined level quantitatively — but he was continually trying to develop a theoretical conception of what was happening physically. The final full chapter of each book closes on the same resigned note. Intelligibility: These days, most serious work on the natural philosophical underpinnings and implications of quantum mechanics is performed not by physicists but by philosophers of science. Among scientific practitioners themselves, Bohr’s attempt to use instrumentality as sufficient grounds for a respectable science has met with a high degree of success. And again, in The World as We Know It: Bohr’s and Einstein’s concerns are now questions that are mostly discussed by philosophers of science rather than by physicists themselves. The marginalization of these sorts of questions amounts to the demise of natural philosophy, at least in physics, in the 20th century. Quantum mechanics “works,” and that’s good enough for most scientists who encounter it. Examples could be multiplied. When handling the same subject matter, some echoes are inevitable. Scholars should not feel that because they have written “Isaac Newton died in 1727” in one book, in the next they must describe him as perishing, expiring, or meeting his maker. But the repetitions of language and arguments (not to mention six reproduced images) threaded throughout The World as We Know It are more extensive than that. They should have been caught by Princeton University Press or its reviewers, and revised. Because the two books have so much in common, it is easy to see where they diverge. The World as We Know It is a less theoretical work than its predecessor. The sociology of knowledge that organized The Intelligibility of Nature has been reduced in scale and folded into readings and examples. The taut interplay between history and theory, which gave the earlier study so much interest, is there, but it is subtle. In the earlier book, the case studies demonstrated theoretical claims about the character and development of science. In the later work, each narrative of discovery is an end in itself. Insights emerge from the history, but they do not control the organization of the study. With the theory muted, it can be hard to understand the logic uniting Dear’s sprawling history of more than two centuries of scientific knowledge. The 16 brisk chapters cover an enormous amount of material. But the closer the volume edges to comprehensiveness, the more obvious the missing elements become. A chapter on “Institutions and Pedagogy,” describing the birth of the research university, illustrates the problem. Inserted roughly halfway through the book, the unnumbered chapter is designed as an “entr’acte,” in acknowledgement that it does not fit the study’s organization around scientific discoveries. Yet as Dear is well aware, no general history of the development of modern science can bracket its 19th-century institutionalization and professionalization. It was the 19th-century university, after all, that gave us the “scientist,” a term coined by the Cambridge philosopher William Whewell. Dear’s history of scientific discoveries implies a wider social and institutional history, but it remains largely subterranean, only occasionally extruded under the pressure of the narrative. It must be said that the balance is not all on the side of the earlier study. There are some advantages to the more historical, less theoretical organization of The World as We Know It. Dear’s accounts of paradigm shifts are remarkably lucid, no small accomplishment given that they span fields and centuries. He makes excellent use of the wealth of new scholarship on Darwin and his influences, to which he has himself contributed. It is satisfying to see puzzle pieces from Buffon’s natural history, Georges Cuvier’s animal taxonomy, Thomas Robert Malthus’s demography, and Charles Lyell’s geology recombined seamlessly in the Darwinian jigsaw. Likewise, Dear’s discussion of stellar nebulae, divided between chapters two and 15, shows vividly how Newton, Kant, Herschel, and Hubble reimagined insights and observations as they sought to discover whether the diffuse light that filtered through early telescopes was a glowing, gaseous substance or discrete but distant stars. Yet despite such pleasures, the book remains a more modest work than The Intelligibility of Nature. Dear has clearly not changed his views about the history of science. But in the two decades that have elapsed, the discipline and the world around it have changed, making it harder to write a sociologically and philosophically ambitious history of science for the general reader. That is a shame, because in the age of Silicon Valley and biotechnology, both the reciprocity and the tensions Dear identified between the epistemological and instrumental ambitions of science are more evident than ever. In recent years, some of the most exciting new books on the history of science in early modernity have focused precisely on this pressure point. Important studies such as Pamela H. Smith’s From Lived Experience to the Written Word (2022), James Poskett’s Horizons: The Global Origins of Modern Science (2022), and Vera Keller’s The Interlopers: Early Stuart Projects and the Undisciplining of Knowledge (2023) all shed new light on how early modern science negotiated the relationship between its instrumental and epistemological ambitions, or in Russell’s phrase, knowing and doing. There is every opportunity for a philosophically informed approach to draw new insights from this wealth of material. Dear, unfortunately, has not done so in The World as We Know It. But for future scholars of the history of science, his body of work over nearly four decades may provide just the model. Julianne Werlin is an associate professor of English at Duke University. Thanks for reading The Chronicle Review! Subscribe for free to receive new posts and support my work. Subscribe
Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs
Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share
Elevance Health (ELV): Conviction Pays Off as Underwriting Disciplines Stabilize Margins
Cambiar Opportunity Fund, managed by Cambiar Investors, published its Q2 2026 investor letter. The letter can be downloaded here. U.S. equity markets experienced a significant rebound in Q2, with the S&P 500 rising 15.2% and the Russell 2000 up 21.5%. Growth stocks outperformed value, although value retained a year-to-date lead. The market’s rise was fueled […]
How Washington Funded the Politicization of Science
Over the last half-decade, the National Science Foundation (NSF) has spent hundreds of millions of dollars on projects designed to influence academic policies, both in the sciences and other disciplines. The aim was to foster a progressive conception of social justice in these fields. In pursuit of this end, the foundation earmarked nearly a million dollars for a project titled “Creating Inclusive Scientific Societies through Policies and Practices,” over a million for a project on “Faculty Online Learning Communities for Gender Equity,” and over $2 million to foster “racial equity focused departmental change.” Through a public records request, I’ve obtained the proposals and progress reports for dozens of NSF grants designed to promote social justice. Although funding for these grants was eventually halted by the Trump administration, the projects illustrate an important facet of recent higher-education policy. Many of the university policies that promised “social transformation” didn’t arise in a vacuum. They were actively encouraged by outside funders—often by the federal government itself. Subscribe Accreditation—the peer-review process which enables universities to receive federal grants and student loans—has recently become a policy battleground, with accreditors wielding significant power over both universities and academic disciplines. In 2020, when Oregon Health and Science University’s medical school issued an extensive diversity action plan—which promised “consequences” for employees who failed to support “DEI, anti-racism and social justice”—it specifically pointed to the Liaison Committee on Medical Education (LCME), the medical-school accrediting body, to justify the overhaul. The NSF actively promoted DEI-focused accreditation policies. The proposal for a $1.2 million program on promoting “community engagement” in STEM, which I obtained through a records request, notes that the Accreditation Board for Engineering and Technology was exploring changes to its criteria “that would incorporate JEDI [justice, equity, diversity, and inclusion].” The proposal promised to “support broader JEDI efforts in the general criteria for engineering.” Another grant funded a conference designed to “identify and share best practices and strategies to integrate IDEA principles in accreditation criteria”—referring to an acronym that stands for “inclusion, diversity, equity, and accessibility.” Scholarly societies have become another flashpoint in debates over higher education. Critics argue that many of these societies, which have the power to shape entire disciplines, have become increasingly politicized. Again, through its giving, the NSF played a role in promoting this politicization. In one million-dollar grant that received funding in 2024, a group of psychologists proposed a series of social-justice reforms to the Society for the Psychological Study of Social Issues. The proposal, which I obtained via a records request, asserts that “[r]edistributing resources (such as moving different people into leadership roles) is not enough” and that the society’s “governance structures do not yet reflect its stated values of diversity, equity, and inclusion.” Its solution: review and rework the society’s criteria for leadership development, academic awards, conferences, and publications. Adjusting review criteria informed by “intersectionality” designed to fight “epistemic exclusion” is an easy way to introduce de facto ideological litmus tests into the peer-review process. For many of the grants I obtained, such litmus tests seem to be the point. “Academic departments are racialized social systems that produce and sustain the byproducts of systemic racism,” a proposal for a $2.7 million project funded in 2024 asserts, promising to develop “departmentally-focused change efforts that cultivate values, assumptions, and behaviors that advance racial equity.” The University of Illinois Urbana Champaign’s million-dollar “I-ADVANCE” project, which effectively created a small DEI bureaucracy on campus, promised to Embed 28 ADVANCE faculty fellows in STEM departments” to amplify its equity goals. Another $1.2 million project promised to create “faculty online learning communities,” made up of scientists at universities around the country, that would eventually build department-level diversity action plans. “Ultimately,” the proposal asserts, perhaps more perceptively than its authors realized, “both organizational change and intersectionality frameworks deal with power.” Indeed, such grants confer a great deal of power to administrators and scholar-activists, who can even use the mere availability of funding as a tool to advance their causes. That history is worth remembering amid today’s debate over federal involvement in higher education: Washington has been shaping university priorities for years, including by financing efforts to instill progressive ideas about race, gender, and equity into academic institutions—and many of the policies those grants encouraged remain embedded within universities long after the federal money has stopped flowing. John D. Sailer is the director of higher education policy and a senior fellow at Manhattan Institute. Share
Himmelfarb Health Sciences Library joins Libraries & Academic Innovation unit
GW’s Himmelfarb Health Sciences Library joined the University’s Libraries and Academic Innovation unit on Sept. 28 in order to make it easier for students, faculty and researchers working across disciplines to use library resources.
Himmelfarb Health Sciences Library joins Libraries & Academic Innovation unit
GW’s Himmelfarb Health Sciences Library joined the University’s Libraries and Academic Innovation unit on Sept. 28 in order to make it easier for students, faculty and researchers working across disciplines to use library resources.
UnitedHealth: Quality Dividends From Health Insurance
UnitedHealth raised 2026 adjusted diluted EPS guidance to $19.50–$20.00, reflecting strong margin discipline. Read why UNH stock is a Buy.
Blazers Should Ease Damian Lillard Back Into Action
Returning from a 500-day hiatus and a torn Achilles, the 36-year-old superstar requires a disciplined ramp-up to ensure he remains explosive alongside Ja Morant for a postseason push.
NFL Announces Punishment for Falcons Veteran After Panthers Game
The Falcons’ ugly loss to Carolina got a little more expensive after the NFL announced discipline for veteran tackle Jake Matthews. The post NFL Announces Punishment for Falcons Veteran After Panthers Game appeared first on HEAVY.
Full Court Magic Episode 35: Major Takeaways Before Media Day
New head coach Sean Sweeney faces immense pressure to instill discipline as Jeff Weltman bets big on roster continuity and a veteran reunion to escape postseason stagnation.
Southside volleyball player Kate Schmidt emphasizes kindness, a positive approach
Even with the stress of a pressure-packed volleyball match, Southside’s Kate Schmidt works on maintaining composure and discipline. And above everything else, she seeks to be the embodiment of the...
The Business of Educating Black Parents, Teachers and Kids
Parents once used her name to discipline their children. That unexpected moment sparked an idea that would become a growing education business.
Calling all current and future scientists: Kiel is the place to be this week
This week, Kiel has become a meeting place for science in Europe. Researchers, school pupils, young scientists and members of the public are coming together through a series of major events led or co-organised by Kiel University.At the centre of it all are around 150 of Europe’s most talented young researchers, aged 14 to 20, who have travelled to Kiel from nearly 40 countries for the 37th European Union Contest for Young Scientists (EUCYS). Running from 22 to 27 September, the European Union’s flagship competition for young scientists brings together winners of national science competitions to present around 100 original research projects across fields ranging from engineering and computer science to medicine, environmental research and the social sciences. The winners will be announced at the Award Ceremony on Saturday.For Kiel University, hosting EUCYS is both an honour and a natural extension of a much longer story. Germany’s northernmost comprehensive university has invested for many years in supporting young scientific talent and bringing research into dialogue with society. The Kiel Science Factory gives school pupils opportunities to experience research first-hand, while programmes such as Rent-a-Scientist send researchers directly into local classrooms. Major annual public events including Kiel Week and the European Researchers’ Night take science beyond the campus through talks, exhibitions and hands-on activities.That long-standing commitment has increasingly taken on a European dimension – and this week, many of those efforts are coming together.One of the foundations for this success is the European Researchers’ Night (ERN), which celebrates its tenth edition in the Kiel region this year. The initiative is funded through the Marie Skłodowska-Curie Actions, with Kiel University developing the successful EU proposals and securing the funding, while regional partner KielRegion coordinates the many activities on the ground. Together with research institutions, schools, companies, local authorities and civil society, they have built ERN into a major platform for public engagement.Over the years, Kiel’s ERN programme has grown far beyond a single evening into a whole “Science Summer”, beginning with “Science Shopping” in spring and culminating tomorrow, 25 September, in Science Day.“We have developed a wide range of public engagement formats, often together with the other research institutions in the region, the city and regional authorities, schools, companies and civil society,” says Eckhard Quandt, Kiel University’s vice president for research, academic infrastructure and transfer. “Over the past decade, we have increasingly taken this commitment to the European level.”That combination of European funding expertise and strong regional partnerships also helped Kiel University take the next step. Drawing on its experience with ERN and its European networks, including the SEA-EU University Alliance, the university brought together Brest in France and Split in Croatia for a successful bid to the EU’s new Science Comes to Town initiative. Throughout 2026, the three cities are serving as Europe’s first Science Ambassadors, with more than one thousand activities bringing science into schools, public spaces, cultural venues and everyday life.EUCYS is perhaps the clearest example of how Kiel University is using Science Comes to Town to create new connections between major European initiatives. From the outset, the university deliberately planned the contest for the week of European Researchers’ Night and opened the EUCYS exhibition to the wider Science Day audience. Tomorrow, that means thousands of visitors can encounter the next generation of scientific talent first-hand, while the young researchers themselves gain a much bigger public stage.“Because we opened EUCYS up for European Researchers’ Night, there will be a lot of people actually visiting the exhibition,” says organiser Stefanie Altemark of Kiel University.“We wanted Europe’s most talented young scientists not only to compete with one another, but also to become visible to the wider public. At the same time, people in Kiel will have the opportunity to see what the next generation of scientists are already capable of,” says Quandt.“We’ve shown over the last years that science is a big part of Kiel, and it’s always been the goal to not only show that to people in Germany, but also to show it to people all over Europe. Thanks to Kiel University’s expertise in European funding programmes, we have been able to turn that ambition into reality,” says Sünje Fock, who is coordinating the Science Summer at KielRegion.The model is characteristic of Kiel University’s approach: combining European funding expertise and international networks with strong regional partnerships to give major initiatives greater reach and visibility.This year also marks the 30th anniversary of the Marie Skłodowska-Curie Actions, giving Kiel University the special opportunity to welcome Vanessa Debiais-Sainton, Head of Department for the Marie Skłodowska-Curie Actions at the European Research Executive Agency, to Kiel tomorrow. Her visit brings together two priorities that have shaped Kiel University’s work over the past decade: supporting researchers and bringing science closer to society. Debiais-Sainton emphasises how closely the two are connected: "For thirty years, the Marie Skłodowska-Curie Actions (MSCA) have given more than 150,000 researchers the chance to pursue their dreams and open up new fields. Doctoral Networks and Postdoctoral Fellowships give them the freedom to move, to connect, to train and to follow their curiosity across borders, sectors and disciplines. But excellence cannot live only in laboratories. Researchers’ Night takes science out of the lab and into the city, to the families, the schoolchildren and the curious minds who will become the next generation. Kiel shows what that looks like at its best. That is the MSCA promise: open science, open borders, open doors."For Kiel University, these activities are not separate endeavours. They are part of a broader understanding of academic excellence in which outstanding research, talent development, international cooperation, knowledge transfer and engagement with society strengthen one another.“For me, one of the most important lessons from the past decade is that scientific excellence, knowledge transfer, talent development and engagement with society cannot be treated as separate tasks,” stresses vice president Quandt. “They reinforce one another.”That philosophy is also reflected in Kiel University’s current bid for Germany’s Excellence University status. The designation is part of Germany’s national Excellence Strategy, which provides substantial long-term funding to selected universities to strengthen internationally competitive research and their overall institutional development. A successful outcome would provide new opportunities to build on what has already been created: deepening international cooperation, creating more opportunities for knowledge exchange and public engagement, and extending the university’s reach across the region and beyond. “If we are successful, it would allow us to take what we have built in Kiel considerably further – including expanding our networks and transfer activities beyond the region and increasingly across the Baltic area,” says Quandt.This week’s events offer a glimpse of what that could mean in practice: a university using its research strength, European expertise and regional partnerships to create opportunities for scientists at every stage of their careers while making science more visible, accessible and exciting to the wider public.
Hoda Kotb shares surprising way she disciplined her daughter after she ran off on her own
The former “Today” host is mother to Haley, 9, and Hope, 7.
Is PENN Entertainment (PENN) Stock a Buy After Its Latest Multi-Million Dollar Bet?
Analyzing a gaming and entertainment operator requires looking past headline-grabbing project announcements to examine underlying cash generation, portfolio compounding, and capital allocation discipline. PENN Entertainment (NASDAQ:PENN) has spent recent periods restructuring its debt profile, improving operating margins, and refining its regional asset footprint to focus on higher-return landside venues. While the company has made measurable […]
Business Ethics Is a Discipline, Not a Disposition
What does a board director need beyond a moral character? Plenty, writes Ask an Ethicist columnist Vera Cherepanova, who says
Moussa Diaby: Leverkusen Has Changed Its Mentality
Returning from a global journey, the French winger discovers a transformed club fueled by championship grit and a personal evolution that prioritizes defensive discipline alongside his trademark pace.
De Paula’s Early Success Threatens Hernández’s Dodgers Future
As top prospect Josue De Paula’s historic offensive surge ignites the Los Angeles Dodgers, his elite plate discipline and sudden emergence could force Teoscar Hernández out of town.
APSA Joint Statement on the National Science Foundation’s Graduate Research Fellowship Program -
The American Political Science Association (APSA) and the undersigned organizations are writing to express disappointment in the National Science Foundation’s (NSF) removal of STEM education and several major social science disciplines from eligibility for the [...]
In Memoriam: Andrew Lakoff, influential anthropologist of risk, science and society
The USC Dornsife professor and former divisional dean explored how science and technology shape modern life and brought scholars across disciplines together to tackle complex questions.
Cade Smith takes consistent, disciplined approach to mound for Guardians
Closer Cade Smith continues to take a consistent and disciplined approach to the mound for the first-place Cleveland Guardians.
Florida HC Jon Sumrall Shuts Down Ole Miss Hype Quickly
Despite a surprising betting line favoring the Gators, coach Jon Sumrall rejects the underdog narrative, demanding disciplined play to upset the playoff-tested Rebels in Gainesville this Saturday.
PPG appoints Alex Lopez vice president, investor relations, operational finance
PPG (NYSE: PPG) today announced that Alex Lopez, currently PPG director, investor relations, has been appointed PPG vice president, investor relations and operational finance, effective Oct. 1. Lopez will continue to report to Jamie Beggs, PPG senior vice president and chief financial officer. Alex Lopez has been appointed PPG vice president, investor relations and operational finance. In this expanded role, Lopez will continue to lead investor relations while assuming responsibility for enterprise operational finance, with a focus on strengthening capital discipline, productivity governance and operational finance effectiveness. Lopez has held a variety of finance roles of increasing responsibility during his 20 years with PPG, including business-specific finance leadership as well as corporate roles. Prior to assuming the investor relations role in 2024, Lopez served as global finance director, Automotive OEM Coatings. He also supported the growth of PPG Comex when he relocated to
Transformative Biological and Environmental Frontiers: Synthesizing the 2026 Tang Prize Science Laureates
The Tang Prize in Sustainable Development and Biopharmaceutical Science honors pivotal scientific advances that improve global health, restore damaged ecosystems, and deliver transformative medical treatments. The 2026 science laureates, Professor Susan Solomon for Sustainable Development, along with Dr. Steven A. Rosenberg, Dr. Michel Sadelain, and Dr. Carl H. June for Biopharmaceutical Science, demonstrate how disciplined
GW Dining provider told workers to stay silent on health, safety issues: former employees
Five former employees of GW Dining contractor Chartwells Higher Education said they were disciplined or terminated after speaking out about health and safety issues within GW Dining facilities.
Is Elevance Health (ELV) Fairly Valued On Its Conference Outlook Reassurance?
Elevance Health (ELV) used its appearance at the Wells Fargo 21st Annual Healthcare Conference on 10 September 2026 to reinforce its earnings outlook and cost discipline, keeping the recent valuation conversation very much alive. Recent trading has been mildly soft, with the share price down 0.8% on the day and 1.9% over the past week. Even so, Elevance Health still carries a 16.0% year to date share price return and a 33.6% 1 year total shareholder return, indicating that momentum has cooled...
Washington Penalties Indicate Lack of Discipline
Through three games in the 2026 season, the Huskies have been called for 26 total penalties. Those Washington penalties include nine personal foul or unsportsmanlike conduct penalties. Eight of those have been called on the defense, with the other called on a special teams play. Those nine penalties include two targeting calls and three late …
Florida's Jon Sumrall Sends Warning to Team After Beating Auburn
Despite a gritty road win at Jordan-Hare, head coach Jon Sumrall slammed his team's lack of discipline, warning that sloppy penalties could derail Florida's undefeated season.
Bar Harbor Parents Again Raise Concerns About How Some Science Education In Sixth Grade.
The Bar Harbor Story is generously sponsored by Restaurant Barn. BAR HARBOR—Parents again raised concerns this week about how Bar Harbor students receive science instruction after fifth grade, months after the same issue came before the Bar Harbor School Board. The concern centers on a past scheduling change at Conners Emerson School that gives fifth graders a full year of science rather than switching between science and social studies at midyear. Principal Dr. Heather Weir Webster told the board that the school has been monitoring test scores, teacher feedback, and the experience of students as it considers whether the current approach is working. If it is not, the approach may be changed, but that would not likely occur this school year. In fifth and sixth grade, the school used to have one semester of social studies and one of science in each year. That schedule shifted because switching at midyear often broke up the learning units. So, approximately two-three years ago, they decided to shift that a bit. Science became a dedicated focus in fifth grade. Social studies was the dedicated focus in sixth grade. The school staff members are hoping to dive deeply into the data and see if the students are having a more quality experience throughout their time in those grades when it comes to science and social studies. If not, things could shift again. This year, Dr. Webster said at the September meeting, potential changes to curricula have been a bit complicated by moving into the school’s new building in late October and early November. “There have been no changes this year because it’s hard enough to handle the move. That allows them to have consistency,” Dr. Webster said. Dr. Webster said that after the Covid pandemic which prevented students from attending school in person, many fifth graders were struggling. “We tried several different configurations,” she said, including a co-teaching model to help with that struggle, but to also see how to best schedule and support those students. “We found that a January switch” where classes switched from social studies to science was really difficult. Part of the decision making stemmed from science being more hands-on and accessible to fifth graders. Social studies was a bit more abstract content, which was why the school tried the current configuration. In a letter submitted as public comment, parent Beth Dumont wrote, “In May 2026, I wrote to express my concern that our middle school students are not receiving consistent instruction in science and social studies. I appreciate that the Board took this concern seriously and requested a presentation from Principal Webster. I am also grateful for the opportunity to meet with Principal Webster and Julie Keblinsky in July to learn more about the current curriculum and scheduling. “During that meeting, I learned that the current model is intended to integrate science and social studies into other subjects during the years or semesters when they are not offered as standalone courses. “While I appreciate the intent behind this model, I remain concerned about its premise. Science and social studies are core academic disciplines that provide students with essential knowledge, skills, and ways of thinking. Yet under the current schedule, students are not guaranteed consistent instructional time in these subjects. Instead, exposure to content in these disciplines may depend on whether opportunities for integration arise within other classes. “To be clear, I strongly support interdisciplinary learning. Integrating science and social studies across the curriculum can enrich students’ educational experiences and help them make meaningful connections across subject areas. My concern is not with integration itself, but with relying on integration as a substitute for dedicated instruction in core disciplines.” Dr. Webster said that they’ve been monitoring test scores, talking to teachers, seeing how the pilot program works. It’s in its third year now of this schedule. One science teacher, she said, told her he’d seen positive outcomes with full year science and that there was a stronger classroom community. Another science teacher had concerns over the readiness last year, but she isn’t feeling that way about this year’s current class. A third teacher for social studies said he loves the full year. A fourth teacher of social studies hasn’t said that anything has changed. For the three fathers who spoke at the school committee meeting, the fractured science curriculum caused concerns. One father said that when he spoke to others, “all were surprised and confused as to why there was no dedicated, continuous science education,” at the school. Though students are testing well in science and math, he worried that without continuity in education, learning is lost. “We shouldn’t have to choose between key learning disciplines,” he said. Matthew Bergin, another father, agreed, adding, “I’m just a little concerned.” In her letter, Dumont wrote, “As the parent of a recent sixth grader who completed an entire year without a dedicated science course, I saw very little evidence that this integration was occurring in a consistent, systematic, or readily identifiable way. This is not a criticism of our middle school teachers, who have been uniformly excellent. Rather, it is a structural criticism of the current schedule.” Dr. Webster gave an update about all aspects of the schedule and how it’s created and she also spoke to social and emotional learning (SEL) in middle school. It’s explicitly taught but also embedded. Science is embedded as well and explicitly taught at all but that one grade. The school schedule is built from lunch out, then electives like art and physical education are placed, before going into the instruction time, teacher planning time, multi-tier support systems (MTSS), and then social and emotional learning. Teachers have to have 250 minutes a week of planning time per their contracts. That’s the minimum and occurs when their students are at specials. “The schedule is really not the purview of the board,” School Board Chair Marie Yarborough reminded the other board members and the public and thanked Dr. Webster for the presentation. The parents were also thanked for coming. LINK TO LEARN MORE [ ](https://barharborstory.substack.com/p/despite-strong-rankings-some-bar) [ Despite Strong Rankings, Some Bar Harbor Parents Raise Concerns About School's Science Education ](https://barharborstory.substack.com/p/despite-strong-rankings-some-bar) Carrie Jones · Jun 4 [ Read full story ](https://barharborstory.substack.com/p/despite-strong-rankings-some-bar) HELP SUPPORT THE BAR HARBOR STORY When we started The Bar Harbor Story, we didn’t know if anyone would read it. But you showed up. You shared. You sent tips. Now—over 400,000 views every month later—it’s clear: people here care about their community and each other. We’ve kept everything free because news should never be out of reach, but every one of our stories takes time to write, and your support keeps The Bar Harbor Story going. If you value our work, please consider a paid subscription, a founding membership, or a sponsorship. It truly helps us cover one more meeting, tell one more story, shine one more light. Even $5 a month makes a difference. Click here to become a one-time supporter now. Thank you so much for being here. Founding member information can be found here. Have questions about sponsorships? Just send Shaun an email at sfarrar86@gmail.com, he’d love to hear from you. Subscribe Share Bar Harbor Story Share Leave a comment
Undergraduates Learn Ways AI Can Help Produce Happier Livestock
A joint workshop has given undergraduates from a variety of disciplines a hands-on look at the ways precision livestock farming and artificial intelligence can create better living conditions for hogs.
Maine nurses condemn Prime Healthcare’s illegal firings and suspensions at Central Maine Medical Center
Maine State Nurses Association/National Nurses Organizing Committee, an affiliate for National Nurses United (NNU), released the following statement today in response to illegal discipline against nurses by Prime Healthcare.
Clover Health Sees PPO Edge, Cohort Gains as Medicare Advantage Pricing Tightens
Clover Health Investments (NASDAQ:CLOV) is positioning its Medicare Advantage business to benefit from industry pricing discipline, member retention and the maturation of member cohorts, Interim Chief Financial Officer Clay Thornton said at Jefferies’ Healthcare Services and Technology Conference in
Inside SJSU football’s blueprint for discipline under pressure
San Jose State has struggled to start fast and now has to slow down a Fresno State team that hits hard and plays physical as any of the Spartan’s previous three games. SJSU head coach Ken Niumatalolo isn’t calling that a discipline problem, as much as it is a discipline system, one built all camp, […]
Where disciplines meet: UTulsa scientists, conservators unlock secrets of centuries-old manuscripts
UTulsa and Gilcrease Museum researchers use Raman microscopy to analyze pigments in 16th-century Indigenous Mexican manuscripts, uncovering historical and scientific insights while preserving cultural heritage.
Clark calls for more discipline from Hartlepool
Hartlepool United are on a run of five losses in six league games, and have had players sent off in three of those defeats.
What a Well-Built Capital Stack Actually Protects
A capital stack succeeds or fails on how it's sequenced, not how much sits in it. Two client stories, from opposite ends of the calendar, show what disciplined capital design actually looks like.
Aura Entertainment on Life After Distributing Obsession
A year after the biggest Toronto sale in history, the founders of the indie distributor open up about staying disciplined, choosing "the movie no one else sees," and why the market gap is still original content.
Alpes 2030 completes sports venue masterplan as IOC Coordination Commission meeting ends
-The final pieces of the sports venue masterplan for the Alpes 2030 Olympic and Paralympic Winter Games fell into place this week in Lyon, as the International Olympic Committee (IOC) Coordination Commission wrapped up its second annual meeting. The Commission today confirmed the allocation of the ice sports and disciplines to venues in Lyon, and of Alpine skiing events to Courchevel and Val d’Isère.
Preston Zachman Breaks Down Indiana Secondary and Learning New Scheme
The veteran safety reveals how high-level communication, quarterback instincts, and Bryant Haines’ versatile scheme are transforming the Hoosiers’ defensive backfield into a disciplined, ball-hawking unit.
12 climate books for back-to-school season » Yale Climate Connections
These titles showcase how disciplines across the curriculum can inform our response to climate change.
Michigan football still honing Kyle Whittingham staple trait: Discipline
“Every penalty is a teaching moment,” Michigan football coach Kyle Whittingham said Monday. “There were some ignorant, thoughtless penalties."
Florida HC Jon Sumrall Has Several Worries Before Auburn Game
Despite a dominant 2-0 start, Coach Sumrall warns of a potential SEC embarrassment as undisciplined penalties and inconsistent execution threaten to derail the Gators' looming clash at Auburn.
Aberdeen may be disciplined over fan behaviour
Aberdeen could face disciplinary action after some supporters invaded the Rugby Park pitch following their cup win over Kilmarnock.
Selling/Rotating Is An Art, Not A Science
A disciplined value investing approach is advocated, emphasizing active rotation when future returns no longer justify holding a position. Read what investors need to know.